The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index; none of the 171 sources its claims cite is checked for support yet.
The right time to learn: mechanisms and optimization of spaced learning
Open accessAbstract
For many types of learning, spaced training, which involves repeated long inter-trial intervals, leads to more robust memory formation than does massed training, which involves short or no intervals. Several cognitive theories have been proposed to explain this superiority, but only recently have data begun to delineate the underlying cellular and molecular mechanisms of spaced training, and we review these theories and data here. Computational models of the implicated signalling cascades have predicted that spaced training with irregular inter-trial intervals can enhance learning. This strategy of using models to predict optimal spaced training protocols, combined with pharmacotherapy, suggests novel ways to rescue impaired synaptic plasticity and learning.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This review synthesizes cognitive theories and molecular/cellular evidence for why spaced training produces stronger memory than massed training, emphasizing refractory/priming processes, kinase and transcription dynamics, and computational optimization. It argues that models of signaling cascades can predict irregular spaced protocols and drug combinations that enhance or rescue synaptic plasticity, though many mechanisms remain incompletely validated.
Key findings
- Spaced training is superior to massed training across many forms of learning and species. In *Aplysia*, five spaced 5-HT pulses (5 minutes each, 20-minute inter-stimulus interval) robustly elicit long-term facilitation lasting more than 24 hours, whereas continuous 5-HT over 25 minutes fails; four spaced electrical stimuli with 30-minute intervals yield long-term sensitization lasting more than 24 hours, with weak residual sensitization at 4 days, and daily repetition for 4 days yields stronger sensitization lasting more than 1 week.
- Hippocampal LTP studies show that theta-burst stimuli at 10- or 40-minute intervals did not cumulatively increase LTP, but intervals of 60 or 90 minutes did; a refractory period of ~60 minutes is associated with priming and spine remodeling, and integrin receptor replacement over ~40–60 minutes is hypothesized to underlie this refractory period.
- Optimal intervals are system-specific: in *Aplysia*, maximal long-term sensitization occurred with a 45-minute inter-stimulus interval, not 15 or 60 minutes; in mice, 60-minute intervals enhanced object recognition learning and ERK1/2 signaling in wild-type and fragile X syndrome model mice, whereas 20- or 120-minute intervals did not.
- A computational model simulated 10,000 protocols of five trials with intervals of 0–45 minutes; the predicted irregular “enhanced” protocol produced greater LTF and LTS than the standard 20-minute-interval protocol. Extended models predicted rescue protocols after CBP or CREB1 knockdown, and a drug-modeling study found no single-drug effect fully rescued LTP in a Rubinstein–Taybi syndrome model, but two paired-drug effects did, with additive synergism.
Methods
- Narrative review, not a primary experimental study; it integrates traditional learning theories (encoding variability, study-phase retrieval, deficient-processing/consolidation) with molecular and cellular findings.
- Evidence is drawn from cited studies across humans, *Aplysia*, *Drosophila*, bees, rodents, non-human primates, hippocampal slices, and cell cultures, plus computational models of PKA, ERK/MAPK, CREB/C/EBP, CBP, LTP, and LTF.
- Main analysis is qualitative synthesis and discussion of model predictions and empirical validations; no systematic review or meta-analytic methods are stated.
Limitations
- Stated: some aspects of the spacing effect cannot be explained by current models; future models are likely incomplete owing to gaps in knowledge and uncertainties in biochemical parameters such as enzyme activities or protein concentrations.
- Stated: some proposed mechanisms lack empirical validation (for example, the dCREB2 isoform phosphorylation competition hypothesis); network-level data are needed to assess encoding variability and study-phase retrieval theories; few studies delineate both minimum and maximum effective intervals for a given system.
- Evident: as a review, it presents no new primary data and does not report a systematic search or risk-of-bias assessment; suggestions about clinical and educational benefits are forward-looking.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
0 of 171 cited sources checked · 0 supported · 0 flagged
None of the sources cited for this claim have been checked yet.
In the paper
“Spaced training also leads to improved memory in invertebrates, such as the mollusk Aplysia californica11–14, Drosophila melanogaster15,16 and bees17, and in rodents18,19 and non-human primates20,21.”
§ The right time to learn: mechanisms and optimization of spaced learning > Abstract
What the sources say
- Not checked yetcites [11] Philips, G. T., Kopec, A. M. & Carew, T. J. Pattern and predictability in memory formation: from molecular mechanisms to clinical relevance. Neurobiol. Learn. Mem. 105, 117–124 (2013). source
- Not checked yetcites [12] Philips, G. T., Ye, X., Kopec, A. M. & Carew, T. J. MAPK establishes a molecular context that defines effective training patterns for long-term memory formation. J. Neurosci. 33, 7565–7573 (2013). This work characterized the dynamics of MAPK and its activation of C/EBP, a transcription factor that is important for long-term memory formation, identifying the response of MAPK within a specific time window as essential for generating an optimal inter-trial interval. source
- Not checked yetcites [13] Wainwright, M. L., Zhang, H., Byrne, J. H. & Cleary, L. J. Localized neuronal outgrowth induced by long-term sensitization training in Aplysia. J. Neurosci. 22, 4132–4141 (2002). source
- Not checked yetcites [14] Mauelshagen, J., Sherff, C. M. & Carew, T. J. Differential induction of long-term synaptic facilitation by spaced and massed applications of serotonin at sensory neuron synapses of Aplysia californica. Learn. Mem. 5, 246–256 (1998). source
- Not checked yetcites [15] Beck, C. D., Schroeder, B. & Davis, R. L. Learning performance of normal and mutant Drosophila after repeated conditioning trials with discrete stimuli. J. Neurosci. 20, 2944–2953 (2000). source
- Not checked yetcites [16] Pagani, M. R., Oishi, K., Gelb, B. D. & Zhong, Y. The phosphatase SHP2 regulates the spacing effect for long-term memory induction. Cell 139, 186–198 (2009). source
- Not checked yetcites [17] Menzel, R., Manz, G., Menzel, R. & Greggers, U. Massed and spaced learning in honeybees: the role of CS, US, the intertrial interval, and the test interval. Learn. Mem. 8, 198–208 (2001). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“in rat fear conditioning spaced extinction trials are more effective than massed trials at establishing new memories22.”
§ The right time to learn: mechanisms and optimization of spaced learning > Abstract
What the sources say
- Not checked yetcites [22] Urcelay, G. P., Wheeler, D. S. & Miller, R. R. Spacing extinction trials alleviates renewal and spontaneous recovery. Learn. Behav. 37, 60–73 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“For many types of learning, spaced training, which involves repeated long inter-trial intervals, leads to more robust memory formation than does massed training, which involves short or no intervals.”
- Also stated in: § Abstract · boosted
“Such training has been known since the seminal work of Ebbinghaus to be superior to training that includes short inter-trial intervals (massed training or massed learning) in terms of its ability to promote memory formation.”
§ The right time to learn: mechanisms and optimization of spaced learning > Abstract
What the sources say
- Not checked yetcites REF. 1
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Abstract · boosted
In the paper
“subsequent spaced trains of theta-burst stimuli, with intervals of 60 minutes or more between the trains, were needed for optimal reinforcement of LTP46.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [46] Cao, G. & Harris, K. M. Augmenting saturated LTP by broadly spaced episodes of theta-burst stimulation in hippocampal area CA1 of adult rats and mice. J. Neurophysiol. 112, 1916–1924 (2014). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In massed training, the trials would come too close together to initiate separate rounds of transcription.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“LTF at these sensorimotor synapses is associated with a simple form of learning, long-term sensitization (LTS) of withdrawal reflexes.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [13] Wainwright, M. L., Zhang, H., Byrne, J. H. & Cleary, L. J. Localized neuronal outgrowth induced by long-term sensitization training in Aplysia. J. Neurosci. 22, 4132–4141 (2002). source
- Not checked yetcites [57] Frost, W. N., Castellucci, V., Hawkins, R. D. & Kandel, E. R. Monosynaptic connections made by the sensory neurons of the gill- and siphon-withdrawal reflex in Aplysia participate in the storage of long-term memory for sensitization. Proc. Natl Acad. Sci. USA 82, 8266–8269 (1985). source
- Not checked yetcites [58] Pinsker, H. M., Hening, W. A., Carew, T. J. & Kandel, E. R. Long-term sensitization of a defensive withdrawal reflex in Aplysia. Science 182, 1039–1042 (1973). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“The second theta-burst stimulus yielded polymerization in spines that were not apparently affected by the first stimulus, if the second followed the first by 60 or 90 minutes.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [47] Kramár, E. A. et al. Synaptic evidence for the efficacy of spaced learning. Proc. Natl Acad. Sci. USA 109, 5121–5126 (2012). This study, together with reference 48, substantiates the key hypothesis that spaced stimuli first prime and then strengthen upon repetition successive groups of dendritic spines, creating a morphological correlate of the memory trace that spaced, but not massed, protocols effectively consolidate. source
- Not checked yetcites [48] Lynch, G., Kramár, E. A., Babayan, A. H., Rumbaugh, G. & Gall, C. M. Differences between synaptic plasticity thresholds result in new timing rules for maximizing long-term potentiation. Neuropharmacology 64, 27–38 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Reliable correlates of LTP are the remodelling and enlargement of postsynaptic dendritic spines, which are small protrusions that are associated with most excitatory synapses43.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [43] Bosch, M. & Hayashi, Y. Structural plasticity of dendritic spines. Curr. Opin. Neurobiol. 22, 383–388 (2012). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Theta-burst stimuli applied at intervals of 10 or 40 minutes did not cumulatively increase LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [47] Kramár, E. A. et al. Synaptic evidence for the efficacy of spaced learning. Proc. Natl Acad. Sci. USA 109, 5121–5126 (2012). This study, together with reference 48, substantiates the key hypothesis that spaced stimuli first prime and then strengthen upon repetition successive groups of dendritic spines, creating a morphological correlate of the memory trace that spaced, but not massed, protocols effectively consolidate. source
- Not checked yetcites [48] Lynch, G., Kramár, E. A., Babayan, A. H., Rumbaugh, G. & Gall, C. M. Differences between synaptic plasticity thresholds result in new timing rules for maximizing long-term potentiation. Neuropharmacology 64, 27–38 (2013). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Spaced training may be more effective, in part, because it may allow sufficient time for transcription factors such as CREB to be activated, bind to promoters and induce a round of transcription for the consolidation of LTP53 or for long-term facilitation (LTF) of synapses54.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [53] Silva, A. J., Kogan, J. H., Frankland, P. W. & Kida, S. CREB and memory. Annu. Rev. Neurosci. 21, 127–148 (1998). source
- Not checked yetcites [54] Liu, R. Y., Fioravante, D., Shah, S. & Byrne, J. H. cAMP response element-binding protein 1 feedback loop is necessary for consolidation of long-term synaptic facilitation in Aplysia. J. Neurosci. 28, 1970–1976 (2008). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, an additional 5-HT pulse near 12 hours after treatment might optimally reinforce LTF.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“However, for longer intervals (60 or 90 minutes), a cumulative increase in LTP was observed over three bursts of stimulation.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [47] Kramár, E. A. et al. Synaptic evidence for the efficacy of spaced learning. Proc. Natl Acad. Sci. USA 109, 5121–5126 (2012). This study, together with reference 48, substantiates the key hypothesis that spaced stimuli first prime and then strengthen upon repetition successive groups of dendritic spines, creating a morphological correlate of the memory trace that spaced, but not massed, protocols effectively consolidate. source
- Not checked yetcites [48] Lynch, G., Kramár, E. A., Babayan, A. H., Rumbaugh, G. & Gall, C. M. Differences between synaptic plasticity thresholds result in new timing rules for maximizing long-term potentiation. Neuropharmacology 64, 27–38 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“In addition, in these sensory neurons, the level of the transcription repressor CREB2 shows a late drop at ~12 hours after treatment56.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [56] Liu, R. Y., Shah, S., Cleary, L. J. & Byrne, J. H. Serotonin- and training-induced dynamic regulation of CREB2 in Aplysia. Learn. Mem. 18, 245–249 (2011). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“This prolonged elevation of CREB1 levels is due to a positive feedback loop in which this protein, by binding to a CRE regulatory element near creb1, increases the expression of creb1 (REFS 54,55) and other genes that are upregulated by CREB1.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [54] Liu, R. Y., Fioravante, D., Shah, S. & Byrne, J. H. cAMP response element-binding protein 1 feedback loop is necessary for consolidation of long-term synaptic facilitation in Aplysia. J. Neurosci. 28, 1970–1976 (2008). source
- Not checked yetcites [55] Liu, R. Y., Cleary, L. J. & Byrne, J. H. The requirement for enhanced CREB1 expression in consolidation of long-term synaptic facilitation and long-term excitability in sensory neurons of Aplysia. J. Neurosci. 31, 6871–6879 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Stimulated dendritic spines were remodelled over a period of more than 1 hour, leading to enlargement of the existing functional postsynaptic density45 and the presynaptic active zone44.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [45] Bourne, J. N. & Harris, K. M. Coordination of size and number of excitatory and inhibitory synapses results in a balanced structural plasticity along mature hippocampal CA1 dendrites during LTP. Hippocampus 21, 354–373 (2011). source
- Not checked yetcites [44] Bell, M. E. et al. Dynamics of nascent and active zone ultrastructure as synapses enlarge during LTP in mature hippocampus. J. Comp. Neurol. 522, 3861–3864 (2014). This work, one of a group of related studies by the Harris laboratory, characterized in detail pre- and postsynaptic structural changes that are necessary for the consolidation of LTP. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“In these sensory neurons, levels of the transcription activator CREB1 are elevated for at least 24 hours after the spaced 5-HT treatments54,55.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [54] Liu, R. Y., Fioravante, D., Shah, S. & Byrne, J. H. cAMP response element-binding protein 1 feedback loop is necessary for consolidation of long-term synaptic facilitation in Aplysia. J. Neurosci. 28, 1970–1976 (2008). source
- Not checked yetcites [55] Liu, R. Y., Cleary, L. J. & Byrne, J. H. The requirement for enhanced CREB1 expression in consolidation of long-term synaptic facilitation and long-term excitability in sensory neurons of Aplysia. J. Neurosci. 31, 6871–6879 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This drop in the level of CREB2, coupled with the rise in the level of CREB1, plausibly corresponds to an increased potential for gene induction.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“If the second theta-burst stimulus is applied after the refractory period, some or all of the primed spines undergo consolidation.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“For example, fear-conditioned memories can be alternately erased and reinstated by long-term depression (LTD) and long-term potentiation (LTP), respectively, of a defined synaptic pathway42.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [42] Nabavi, S. et al. Engineering a memory with LTD and LTP. Nature 511, 348–352 (2014). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“The resulting increase in the numbers of AMPA-type and NMDA-type glutamate receptors at the synapse correlated with the magnitude of LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [44] Bell, M. E. et al. Dynamics of nascent and active zone ultrastructure as synapses enlarge during LTP in mature hippocampus. J. Comp. Neurol. 522, 3861–3864 (2014). This work, one of a group of related studies by the Harris laboratory, characterized in detail pre- and postsynaptic structural changes that are necessary for the consolidation of LTP. source
- Not checked yetcites [45] Bourne, J. N. & Harris, K. M. Coordination of size and number of excitatory and inhibitory synapses results in a balanced structural plasticity along mature hippocampal CA1 dendrites during LTP. Hippocampus 21, 354–373 (2011). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Studies using rat hippocampal slices found that LTP induced by multiple trains of theta-burst stimuli was accompanied by extensive remodelling of synaptic ultrastructures44,45”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [44] Bell, M. E. et al. Dynamics of nascent and active zone ultrastructure as synapses enlarge during LTP in mature hippocampus. J. Comp. Neurol. 522, 3861–3864 (2014). This work, one of a group of related studies by the Harris laboratory, characterized in detail pre- and postsynaptic structural changes that are necessary for the consolidation of LTP. source
- Not checked yetcites [45] Bourne, J. N. & Harris, K. M. Coordination of size and number of excitatory and inhibitory synapses results in a balanced structural plasticity along mature hippocampal CA1 dendrites during LTP. Hippocampus 21, 354–373 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These data suggest that, in this system, the dynamics of transcription activation and gene expression have slow components that can summate over multiple days, yielding long-lasting memory.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, it appears to be likely that a similar type of mechanism that is based on competition between an activator of long-term memory formation and a repressor, with the repressor only activated at short intervals, might be needed to explain any similar data in which massed training is less effective than spaced training even given equal total training times.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“These BDNF dynamics result from a positive feedback loop in which C/ebp induction leads to Bdnf upregulation, with the resulting increase in BDNF levels further activating the C/EBP signalling pathway60.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [60] Bambah-Mukku, D., Travaglia, A., Chen, D. Y., Pollonini, G. & Alberini, C. M. A positive autoregulatory BDNF feedback loop via C/EBPβ mediates hippocampal memory consolidation. J. Neurosci. 34, 12547–12559 (2014). This study characterizes the dynamics of a molecular positive feedback loop demonstrated to be important for the consolidation of long-term (24 hours or more) memory, as well as the late repression of Bdnf that terminates the feedback. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“A study involving A. californica sensory neuron–motor neuron co-cultures62 found that protein kinase C (PKC) is activated to a greater extent during a massed stimulus (continuous 5-HT application) than during a spaced stimulus (15-minute intervals between applications).”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [62] Farah, C. A., Weatherill, D., Dunn, T. W. & Sossin, W. S. PKC differentially translocates during spaced and massed training in Aplysia. J. Neurosci. 29, 10281–10286 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“It is known that this delayed MAPK activation requires protein synthesis12”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [12] Philips, G. T., Ye, X., Kopec, A. M. & Carew, T. J. MAPK establishes a molecular context that defines effective training patterns for long-term memory formation. J. Neurosci. 33, 7565–7573 (2013). This work characterized the dynamics of MAPK and its activation of C/EBP, a transcription factor that is important for long-term memory formation, identifying the response of MAPK within a specific time window as essential for generating an optimal inter-trial interval. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Spaced (15-minute) intervals were more effective than massed (1-minute) intervals in inducing olfactory learning, even given the same total training time (and thus more massed presentations)63.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [63] Tully, T., Preat, T., Boynton, S. & Del Vecchio, M. Genetic dissection of consolidated memory in Drosophila melanogaster. Cell 79, 35–47 (1994). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“The 45-minute optimum was associated with activation of MAPK.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [66] Philips, G. T., Tzvetkova, E. I. & Carew, T. J. Transient mitogen-activated protein kinase activation is confined to a narrow temporal window required for the induction of two-trial long term memory in Aplysia. J. Neurosci. 27, 13701–13705 (2007). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Recent data also illustrate that, in the hippocampus, CREB and CCAAT enhancer-binding protein (C/EBP), another transcription factor that is important for LTP, can remain active for many hours after learning.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [59] Beckinschtein, P. et al. Persistence of long-term memory storage requires a late protein synthesis- and BDNF-dependent phase in the hippocampus. Neuron 53, 261–277 (2007). source
- Not checked yetcites [60] Bambah-Mukku, D., Travaglia, A., Chen, D. Y., Pollonini, G. & Alberini, C. M. A positive autoregulatory BDNF feedback loop via C/EBPβ mediates hippocampal memory consolidation. J. Neurosci. 34, 12547–12559 (2014). This study characterizes the dynamics of a molecular positive feedback loop demonstrated to be important for the consolidation of long-term (24 hours or more) memory, as well as the late repression of Bdnf that terminates the feedback. source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Stimuli at intervals much shorter than this would not be able to generate summation of the rate-limiting process and would therefore not cause additional LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“However, it is evident that even for systems such as honeybee olfactory learning that involve short, spaced intervals, effective long-term memory formation relies on the activation of transcription and translation, downstream of the intracellular signalling pathways that are activated by these intervals17,70.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [17] Menzel, R., Manz, G., Menzel, R. & Greggers, U. Massed and spaced learning in honeybees: the role of CS, US, the intertrial interval, and the test interval. Learn. Mem. 8, 198–208 (2001). source
- Not checked yetcites [70] Chen, C. et al. Visualizing long-term memory formation in two neurons of the Drosophila brain. Science 335, 678–685 (2012). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“An implication of the work outlined above is that multiple temporal domains of spaced training may be engaged in spaced training (FIG. 3).”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“About twice as many dendrites with active ERK1/2 were found following spaced bursts, suggesting that spaced trials may recruit additional synapses on different dendrites for LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [69] Ajay, S. M. & Bhalla, U. S. A propagating ERKII switch forms zones of elevated dendritic activation correlated with plasticity. HFSP J. 1, 49–66 (2007). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, in A. californica, D. melanogaster and mammals, MAPK activation appears to be a component of the molecular mechanism that underlies the spacing effect.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Spaced learning with these long intervals would reactivate critical components at these synapses, and in particular reactivate NMDA receptors at these synapses.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Positive feedback loops that maintain key kinases and other molecules in persistently active states at strengthened synapses may also contribute to such long-term memory storage75–79.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [75] Miller, P., Zhabotinsky, A. M., Lisman, J. E. & Wang, X. J. The stability of a stochastic CaMKII switch: dependence on the number of enzyme molecules and protein turnover. PLoS Biol. 3, e107 (2005). source
- Not checked yetcites [76] Pettigrew, D. B., Smolen, P., Baxter, D. A. & Byrne, J. H. Dynamic properties of regulatory motifs associated with induction of three temporal domains of memory in Aplysia. J. Comput. Neurosci. 18, 163–181 (2005). source
- Not checked yetcites [77] Shema, R., Sacktor, T. C. & Dudai, Y. Rapid erasure of long-term memory associations in the cortex by an inhibitor of PKMζ. Science 317, 951–953 (2007). source
- Not checked yetcites [78] Volk, L. J., Bachman, J. L., Johnson, R., Yu, Y. & Huganir, R. L. PKM-ζ is not required for hippocampal synaptic plasticity, learning and memory. Nature 493, 420–423 (2013). source
- Not checked yetcites [79] Fioriti, L. et al. The persistence of hippocampal-based memory requires protein synthesis mediated by the prion-like protein CPEB3. Neuron 86, 1433–1448 (2015). source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Reactivation of memory traces may constitute an additional temporal substrate that underlies the longest reported effective intervals, on the order of a week71.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [71] Cepeda, N. J. et al. Optimizing distributed practice: theoretical analysis and practical implications. Exp. Psychol. 56, 236–246 (2009). source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“About twice as many dendrites with active ERK1/2 were found following spaced bursts, suggesting that spaced trials may recruit additional synapses on different dendrites for LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is plausible that the minimum inter-stimulus interval for effective learning, for a given protocol and system, corresponds to the interval that is necessary to allow each stimulus to contribute separately to a rate-limiting biochemical process.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For LTF and LTS in A. californica, transcription, as discussed above, may constitute a rate-limiting process that helps to determine the efficacy of spaced training.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For intervals of 1 minute or more, each stimulus would be able to contribute a discrete increment to the rate-limiting process, allowing effective learning.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“For example, in honeybee olfactory learning, efficient spaced training can occur with intervals as short as 1 minute17.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [17] Menzel, R., Manz, G., Menzel, R. & Greggers, U. Massed and spaced learning in honeybees: the role of CS, US, the intertrial interval, and the test interval. Learn. Mem. 8, 198–208 (2001). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“This 60-minute interval was predicted to be optimal for learning because stimuli separated by 60 minutes had previously been found to enhance LTP in wild-type rodents47.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [47] Kramár, E. A. et al. Synaptic evidence for the efficacy of spaced learning. Proc. Natl Acad. Sci. USA 109, 5121–5126 (2012). This study, together with reference 48, substantiates the key hypothesis that spaced stimuli first prime and then strengthen upon repetition successive groups of dendritic spines, creating a morphological correlate of the memory trace that spaced, but not massed, protocols effectively consolidate. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“For the spaced LTP protocol of Gall, Lynch and colleagues47,48, an interval of 40–60 minutes is needed for successive theta-burst stimuli to further increase LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [47] Kramár, E. A. et al. Synaptic evidence for the efficacy of spaced learning. Proc. Natl Acad. Sci. USA 109, 5121–5126 (2012). This study, together with reference 48, substantiates the key hypothesis that spaced stimuli first prime and then strengthen upon repetition successive groups of dendritic spines, creating a morphological correlate of the memory trace that spaced, but not massed, protocols effectively consolidate. source
- Not checked yetcites [48] Lynch, G., Kramár, E. A., Babayan, A. H., Rumbaugh, G. & Gall, C. M. Differences between synaptic plasticity thresholds result in new timing rules for maximizing long-term potentiation. Neuropharmacology 64, 27–38 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, a range of molecular and cellular mechanisms appears to contribute to the efficacy of spaced training, in parallel or in series.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Indeed, an effective protocol for LTS training in A. californica is the use of four trials with an inter-trial interval of 30 minutes, repeated four times with a 1-day inter-trial interval13.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [13] Wainwright, M. L., Zhang, H., Byrne, J. H. & Cleary, L. J. Localized neuronal outgrowth induced by long-term sensitization training in Aplysia. J. Neurosci. 22, 4132–4141 (2002). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Nevertheless, the key finding from these studies is that delayed activation of MAPK is intimately associated with the effectiveness of spaced stimuli to induce long-term memory.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In A. californica, D. melanogaster and mammals, the data discussed above indicate that commonly reported intervals, ranging from ~5 minutes to 1 hour, may allow for the reinforcement of the activities of key kinases essential for LTP or LTF, and consolidate structural changes in dendritic spines.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, at least in some cases, there appears to be a hierarchy of temporal domains of training protocols, with briefer protocols embedded within longer ones.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Studies using inducible and reversible NMDA receptor knockouts have demonstrated that such NMDA receptor reactivation, which may also in part result from spontaneous neuronal activity, is required to sustain remote memory storage73,74.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [73] Cui, Z. et al. Inducible and reversible NR1 knockout reveals a crucial role of the NMDA receptor in preserving remote memories in the brain. Neuron 41, 781–793 (2004). This study demonstrates the key point that ongoing neural activity and NMDA receptor activation are essential for long-lasting preservation of stored memory. source
- Not checked yetcites [74] Tetzlaff, C., Kolodziejski, C., Timme, M., Tsodyks, M. & Worgotter, F. Synaptic scaling enables dynamically distinct short- and long-term memory formation. PLoS Comput. Biol. 9, e1003307 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Such intervals are likely to reactivate and reinforce consolidated patterns of strengthened synapses that correspond to memory traces that are maintained by neuronal network activity72.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [72] Wei, Y. & Koulakov, A. A. Long-term memory stabilized by noise-induced rehearsal. J. Neurosci. 34, 15804–15815 (2014). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“ERK1 and ERK2 (ERK1/2) activation is needed for some forms of LTP68”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [68] Rosenblum, K. et al. The role of extracellular regulated kinases I/II in late-phase long-term potentiation. J. Neurosci. 22, 5432–5441 (2002). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“In rat hippocampal slices, theta-burst stimuli lead to proteolytic inactivation of integrin receptors at stimulated dendritic spines82.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
What the sources say
- Not checked yetcites [82] Babayan, A. H. et al. Integrin dynamics produce a delayed stage of long-term potentiation and memory consolidation. J. Neurosci. 32, 12854–12861 (2012). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Although finer-grain analyses are necessary, a study using functional MRI during verbal learning supports this assumption83.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
What the sources say
- Not checked yetcites [83] Callan, D. E. & Schweighofer, N. Neural correlates of the spacing effect in explicit verbal semantic encoding support the deficient-processing theory. Hum. Brain Mapp. 31, 645–659 (2010). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: Reactivations of a memory reactivate some of the same neurons and synapses that were activated in the original learning sessions.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The refractory period appears to be necessary to complete the priming of dendritic spines that were stimulated, but not potentiated, by the first theta-burst stimulus.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“The required refractory period of ~1 hour between successive theta-burst stimuli to induce progressive increments in hippocampal LTP46,47 may be in line with the first of these variants, which is that short intervals are insufficient for consolidation and consequent summation of memory traces.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
What the sources say
- Not checked yetcites [46] Cao, G. & Harris, K. M. Augmenting saturated LTP by broadly spaced episodes of theta-burst stimulation in hippocampal area CA1 of adult rats and mice. J. Neurophysiol. 112, 1916–1924 (2014). source
- Not checked yetcites [47] Kramár, E. A. et al. Synaptic evidence for the efficacy of spaced learning. Proc. Natl Acad. Sci. USA 109, 5121–5126 (2012). This study, together with reference 48, substantiates the key hypothesis that spaced stimuli first prime and then strengthen upon repetition successive groups of dendritic spines, creating a morphological correlate of the memory trace that spaced, but not massed, protocols effectively consolidate. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Consequently, most, if not all, training protocols used in animal and human studies are probably not optimal.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Substantial behavioural evidence suggests that this latter voluntary, short-term rehearsal is not essential for spaced learning31,34.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
What the sources say
- Not checked yetcites [31] Hintzman, D. L. in Theories in Cognitive Psychology: The Loyola Symposium (ed. Solso, R. L.) 77–90 (Erlbaum, 1974).
- Not checked yetcites [34] Hintzman, D. L. in The Psychology of Learning and Motivation Vol. 10 (ed. Bower, G. H.) 47–91 (Academic Press, 1976). source
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and in some systems training may only be effective if inter-trial intervals are long enough so that each trial can induce a separate round of transcription and translation.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“These receptors are then replaced by vesicular transport of new receptors over a period of ~40–60 minutes”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
What the sources say
- Not checked yetcites [82] Babayan, A. H. et al. Integrin dynamics produce a delayed stage of long-term potentiation and memory consolidation. J. Neurosci. 32, 12854–12861 (2012). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Similarly, short (massed) inter-trial intervals may not lead to sufficient levels, or a sufficient duration, of activated MAPK or other kinases to support the consolidation of long-term memory.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The stimulus trace associated with priming may therefore take at least 4 hours to decay.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Kramár et al.47 noted that in hippocampal slices, additional potentiation can be induced up to 4 hours after induction of the first LTP increment81.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
What the sources say
- Not checked yetcites [47] Kramár, E. A. et al. Synaptic evidence for the efficacy of spaced learning. Proc. Natl Acad. Sci. USA 109, 5121–5126 (2012). This study, together with reference 48, substantiates the key hypothesis that spaced stimuli first prime and then strengthen upon repetition successive groups of dendritic spines, creating a morphological correlate of the memory trace that spaced, but not massed, protocols effectively consolidate. source
- Not checked yetcites [81] Frey, U. & Morris, R. G. Synaptic tagging: implications for late maintenance of hippocampal long-term potentiation. Trends Neurosci. 21, 181–188 (1998). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“However, a meta-analysis2 and a text learning study84 found no substantial evidence for the superiority of this approach in terms of promoting long-term memory formation.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [2] Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T. & Rohrer, D. Distributed practice in verbal recall tasks: a review and quantitative synthesis. Psychol. Bull. 132, 354–380 (2006). This extensive review and meta-analysis delineates the comprehensive body of knowledge describing human spaced and massed verbal learning, as well as theories posited to explain the superiority of spaced training over massed training in terms of inducing long-term memory formation. source
- Not checked yetcites [84] Karpicke, J. D. & Roediger, H. L. Is expanding retrieval a superior method for learning text materials? Mem. Cognit. 38, 116–124 (2010). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Transcription factor activation also constitutes a biochemical trace”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such a long trace lifetime might allow a broad temporal window for optimal training trials.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“At this point, much of the extant cellular data seem to be compatible with the deficient-processing theory, particularly two of its variants: the consolidation theory and the lack of cognitive rehearsals theory.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“In this study, a specific brain region associated with rehearsal of verbal memory, the left frontal operculum, was activated more during spaced learning of paired-word associations than during massed learning.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
What the sources say
- Not checked yetcites [83] Callan, D. E. & Schweighofer, N. Neural correlates of the spacing effect in explicit verbal semantic encoding support the deficient-processing theory. Hum. Brain Mapp. 31, 645–659 (2010). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We note that these posited memory reactivations, on timescales of ~1 hour or longer, are distinct from voluntary rehearsals of a memory on a short timescale (seconds or ~1 minute).”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The remaining variants of the deficient-processing theory, which focus on habituation or on a lack of voluntary attention during massed presentations, do not appear to relate as readily to the current single-neuron data.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear? Based: unclearA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This receptor replacement may constitute, at least in part, the priming of dendritic spines discussed above.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A memory reactivation would be analogous to a theta-burst stimulus in that both events would initiate priming and potentiation.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The variant of deficient-processing theory positing that only spaced trials can generate sufficient cognitive rehearsals or reactivations of a memory to support long-term memory consolidation may also correspond to the empirical finding that repeated theta-burst stimuli, spaced by ~1 hour, can recruit additional dendritic spines by potentiating spines that were primed by preceding stimuli.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“The simulations determined that, of these protocols, a massed protocol (FIG. 4b) produced the lowest peak value of inducer, consistent with data that massed 5-HT application fails to produce LTF14.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [14] Mauelshagen, J., Sherff, C. M. & Carew, T. J. Differential induction of long-term synaptic facilitation by spaced and massed applications of serotonin at sensory neuron synapses of Aplysia californica. Learn. Mem. 5, 246–256 (1998). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Simulations have reproduced the dynamics of MAPK during LTP induction80,86,88.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [80] Ajay, S. M. & Bhalla, U. S. A role for ERKII in synaptic pattern selectivity on the time scale of minutes. Eur. J. Neurosci. 20, 2671–2680 (2004). source
- Not checked yetcites [86] Bhalla, U. S. & Iyengar, R. Emergent properties of networks of biological signaling pathways. Science 283, 381–387 (1999). source
- Not checked yetcites [88] Smolen, P., Baxter, D. A. & Byrne, J. H. A model of the roles of essential kinases in the induction and expression of late long-term potentiation. Biophys. J. 90, 2760–2775 (2006). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“These predictions were empirically validated.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [85] Zhang, Y. et al. Computational design of enhanced learning protocols. Nat. Neurosci. 15, 294–297 (2012). This study found that computational models describing long-term synaptic strengthening can successfully predict optimal spaced training protocols, with irregular inter-trial intervals, that enhance learning. source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“In recent years, models have described the dynamics of the biochemical reactions that transduce stimuli into LTP86–88.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [86] Bhalla, U. S. & Iyengar, R. Emergent properties of networks of biological signaling pathways. Science 283, 381–387 (1999). source
- Not checked yetcites [87] Kim, M., Huang, T., Abel, T. & Blackwell, K. T. Temporal sensitivity of protein kinase A activation in late-phase long term potentiation. PLoS Comput. Biol. 6, e1000691 (2010). source
- Not checked yetcites [88] Smolen, P., Baxter, D. A. & Byrne, J. H. A model of the roles of essential kinases in the induction and expression of late long-term potentiation. Biophys. J. 90, 2760–2775 (2006). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It seems to be evident that at least part of the improvement in learning that is found with spaced training protocols can be explained by the dynamic relationships between the training trials and the underlying cellular and molecular mechanisms that are associated with memory formation (FIG. 3).”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“The magnitude of LTF and LTS produced by the enhanced protocol exceeded that produced by the standard protocol85 (FIG. 4d).”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [85] Zhang, Y. et al. Computational design of enhanced learning protocols. Nat. Neurosci. 15, 294–297 (2012). This study found that computational models describing long-term synaptic strengthening can successfully predict optimal spaced training protocols, with irregular inter-trial intervals, that enhance learning. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Models have also simulated the activity time courses of PKA, calcium/calmodulin-dependent protein kinase II (CaMKII), other key enzymes and downstream transcription factors during LTP induction88–90.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [88] Smolen, P., Baxter, D. A. & Byrne, J. H. A model of the roles of essential kinases in the induction and expression of late long-term potentiation. Biophys. J. 90, 2760–2775 (2006). source
- Not checked yetcites [89] Aslam, N. & Shouval, H. Z. Regulation of cytoplasmic polyadenylation can generate a bistable switch. BMC Syst. Biol. 6, 12–20 (2012). source
- Not checked yetcites [90] Liu, R. Y. et al. Deficit in long-term synaptic plasticity is rescued by a computationally predicted stimulus protocol. J. Neurosci. 33, 6944–6949 (2013). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“One study from our laboratory developed a model describing the 5-HT-induced PKA and ERK signalling pathways that are essential for LTF in A. californica85.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [85] Zhang, Y. et al. Computational design of enhanced learning protocols. Nat. Neurosci. 15, 294–297 (2012). This study found that computational models describing long-term synaptic strengthening can successfully predict optimal spaced training protocols, with irregular inter-trial intervals, that enhance learning. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“The ‘best’ protocol, yielding the highest peak value for inducer, termed the ‘enhanced’ protocol (FIG. 4b), had irregular intervals.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [85] Zhang, Y. et al. Computational design of enhanced learning protocols. Nat. Neurosci. 15, 294–297 (2012). This study found that computational models describing long-term synaptic strengthening can successfully predict optimal spaced training protocols, with irregular inter-trial intervals, that enhance learning. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“The amount of LTF and LTS was predicted to increase with an increase in the peak value of inducer.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [85] Zhang, Y. et al. Computational design of enhanced learning protocols. Nat. Neurosci. 15, 294–297 (2012). This study found that computational models describing long-term synaptic strengthening can successfully predict optimal spaced training protocols, with irregular inter-trial intervals, that enhance learning. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: The necessity of PKA and ERK activation for LTF can be represented by a variable 'inducer' whose value is proportional to the product of PKA and MAPK activities.
- The authors state this as an assumption: The amount of LTF and LTS increases with an increase in the peak value of inducer.
None of the sources cited for this claim have been checked yet.
In the paper
“Similarly, relief of transcriptional repression owing to ATF4, a mammalian analogue of CREB2, seems to be important for the maintenance of hippocampal LTP102,103.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [102] Dong, C., Upadhya, S. C., Ding, L., Smith, T. K. & Hegde, A. N. Proteosome inhibition enhances the induction and impairs the maintenance of late-phase long-term potentiation. Learn. Mem. 15, 335–347 (2008). source
- Not checked yetcites [103] Pasini, S., Corona, C., Liu, J., Greene, L. A. & Shelanski, M. L. Specific downregulation of hippocampal ATF4 reveals a necessary role in synaptic plasticity and memory. Cell Rep. 11, 183–191 (2015). source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The four initial pulses initiate a surge of MAPK activity, which peaks near the time of the last pulse.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“This rescue protocol was empirically validated to restore normal LTF in A. californica.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [90] Liu, R. Y. et al. Deficit in long-term synaptic plasticity is rescued by a computationally predicted stimulus protocol. J. Neurosci. 33, 6944–6949 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“In this study, the model previously used85 to predict optimal, irregularly spaced protocols that would enhance LTF (FIG. 4a) was extended to represent induction of c/ebp, a transcription factor known to be essential for LTF96.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [85] Zhang, Y. et al. Computational design of enhanced learning protocols. Nat. Neurosci. 15, 294–297 (2012). This study found that computational models describing long-term synaptic strengthening can successfully predict optimal spaced training protocols, with irregular inter-trial intervals, that enhance learning. source
- Not checked yetcites [96] Alberini, C. M. Transcription factors in long-term memory and synaptic plasticity. Physiol. Rev. 89, 121–145 (2009). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“CBP is also required for the consolidation of long-term memory93.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [93] Korzus, E., Rosenfeld, M. G. & Mayford, M. CBP histone acetyltransferase activity is a critical component of memory consolidation. Neuron 42, 961–972 (2004). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“LTF relies on deactivation of CREB2, a transcriptional repressor101.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [101] Bartsch, D. et al. Aplysia CREB2 represses long-term facilitation: relief of repression converts transient facilitation into long-term functional and structural change. Cell 83, 979–992 (1995). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“The recent study90 used small-interfering RNA (siRNA) knockdown of CBP in A. californica sensory neurons to impair LTF.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [90] Liu, R. Y. et al. Deficit in long-term synaptic plasticity is rescued by a computationally predicted stimulus protocol. J. Neurosci. 33, 6944–6949 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“A ‘rescue’ protocol with irregularly spaced intervals was predicted to restore peak pC/EBP levels and, correspondingly, LTF.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [90] Liu, R. Y. et al. Deficit in long-term synaptic plasticity is rescued by a computationally predicted stimulus protocol. J. Neurosci. 33, 6944–6949 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“However, no single-drug effect completely rescued LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [104] Smolen, P., Baxter, D. A. & Byrne, J. H. Simulations suggest pharmacological methods for rescuing long-term potentiation. J. Theor. Biol. 360, 243–250 (2014). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Simulations showed a substantial decrease in pC/EBP levels when the level of CBP was reduced by a decrement that corresponded to the siRNA effect.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [90] Liu, R. Y. et al. Deficit in long-term synaptic plasticity is rescued by a computationally predicted stimulus protocol. J. Neurosci. 33, 6944–6949 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“and both rely on cooperative gene induction by pCREB and CBP53,96,99,100.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [53] Silva, A. J., Kogan, J. H., Frankland, P. W. & Kida, S. CREB and memory. Annu. Rev. Neurosci. 21, 127–148 (1998). source
- Not checked yetcites [96] Alberini, C. M. Transcription factors in long-term memory and synaptic plasticity. Physiol. Rev. 89, 121–145 (2009). source
- Not checked yetcites [99] Bartsch, D., Casadio, A., Karl, K. A., Serodio, P. & Kandel, E. R. CREB1 encodes a nuclear activator, a repressor, and a cytoplasmic modulator that form a regulatory unit critical for long-term facilitation. Cell 95, 211–223 (1998). source
- Not checked yetcites [100] Kida, S. A functional role for CREB as a positive regulator of memory formation and LTP. Exp. Neurobiol. 21, 136–140 (2012). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Although these empirical studies were conducted in A. californica, it should be noted that key molecular mechanisms of memory are substantially conserved from simple model organisms such as A. californica to mammals52,96.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [52] Kandel, E. R. The molecular biology of memory storage: a dialogue between genes and synapses. Science 294, 1249–1254 (2001). source
- Not checked yetcites [96] Alberini, C. M. Transcription factors in long-term memory and synaptic plasticity. Physiol. Rev. 89, 121–145 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“For example, LTF and LTP both rely on PKA and ERK activation12,92,98”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [12] Philips, G. T., Ye, X., Kopec, A. M. & Carew, T. J. MAPK establishes a molecular context that defines effective training patterns for long-term memory formation. J. Neurosci. 33, 7565–7573 (2013). This work characterized the dynamics of MAPK and its activation of C/EBP, a transcription factor that is important for long-term memory formation, identifying the response of MAPK within a specific time window as essential for generating an optimal inter-trial interval. source
- Not checked yetcites [92] Müller, U. & Carew, T. J. Serotonin induces temporally and mechanistically distinct phases of persistent PKA activity in Aplysia sensory neurons. Neuron 21, 1423–1434 (1998). source
- Not checked yetcites [98] Abel, T. & Nguyen, P. V. Regulation of hippocampus-dependent memory by cyclic AMP-dependent protein kinase. Prog. Brain Res. 169, 97–115 (2008). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“A similar predicted rescue protocol of irregularly spaced intervals rescued a deficit in LTF that was produced by siRNA knockdown of CREB1 (REF. 97).”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [97] Zhou, L. et al. Rescue of impaired long-term facilitation at sensorimotor synapses of Aplysia following siRNA knockdown of CREB1. J. Neurosci. 35, 1617–1626 (2015). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, the results with A. californica suggest that it may be possible, in complex organisms including mammals, to computationally predict the efficacies of numerous learning or training protocols, a process that is impractical using empirical studies alone.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“For both pairs, additive drug synergism, defined as a combined-drug effect that exceeds the summed effects of the individual drugs, was also evident, as quantified by a simple additive measure (FIG. 5).”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [104] Smolen, P., Baxter, D. A. & Byrne, J. H. Simulations suggest pharmacological methods for rescuing long-term potentiation. J. Theor. Biol. 360, 243–250 (2014). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“In the first case, an increased rate constant for histone acetylation, corresponding to application of an acetyltransferase activator, was paired with an increased duration of stimulus-induced increase in cAMP levels, corresponding to application of a cAMP phosphodiesterase (PDE) inhibitor.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [104] Smolen, P., Baxter, D. A. & Byrne, J. H. Simulations suggest pharmacological methods for rescuing long-term potentiation. J. Theor. Biol. 360, 243–250 (2014). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“A subsequent empirical study by another group did find that pairing a PDE inhibitor with a deacetylase inhibitor was effective in rescuing a deficit of LTP in a mouse model of Alzheimer disease105.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [105] Cuadrado-Tejedor, M. et al. Concomitant histone deacetylase and phosphodiesterase 5 inhibition synergistically prevents the disruption in synaptic plasticity and it reverses cognitive impairment in a mouse model of Alzheimer's disease. Clin. Epigenetics 7, 108 (2015). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“With relatively short retention intervals (~1 minute−2 hours), training intervals in the broad range of ~1 minute to 3 hours yield greater verbal learning than do training intervals of 2 days or more2.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [2] Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T. & Rohrer, D. Distributed practice in verbal recall tasks: a review and quantitative synthesis. Psychol. Bull. 132, 354–380 (2006). This extensive review and meta-analysis delineates the comprehensive body of knowledge describing human spaced and massed verbal learning, as well as theories posited to explain the superiority of spaced training over massed training in terms of inducing long-term memory formation. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“as does repeated replay or rehearsal of assemblies that encode recent experiences108,109.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [108] Karlsson, M. P. & Frank, L. M. Awake replay of remote experiences in the hippocampus. Nat. Neurosci. 12, 913–919 (2009). source
- Not checked yetcites [109] Wu, X. & Foster, D. J. Hippocampal replay captures the unique topological structure of a novel environment. J. Neurosci. 34, 6459–6469 (2014). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Repeated spontaneous activation of neuron assemblies does occur106,107”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [106] Ikegaya, Y. et al. Synfire chains and cortical songs: temporal modules of cortical activity. Science 304, 559–564 (2004). source
- Not checked yetcites [107] Miller, J. E., Ayzenshtat, I., Carrillo-Reid, L. & Yuste, R. Visual stimuli recruit intrinsically generated cortical ensembles. Proc. Natl Acad. Sci. USA 111, E4053–E4061 (2014). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“For example, in human verbal learning, an interesting positive correlation exists between the length of inter-trial intervals for effective spaced learning and the retention interval (that is, the interval between the final training trial and the test of memory retention).”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [2] Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T. & Rohrer, D. Distributed practice in verbal recall tasks: a review and quantitative synthesis. Psychol. Bull. 132, 354–380 (2006). This extensive review and meta-analysis delineates the comprehensive body of knowledge describing human spaced and massed verbal learning, as well as theories posited to explain the superiority of spaced training over massed training in terms of inducing long-term memory formation. source
- Not checked yetcites [71] Cepeda, N. J. et al. Optimizing distributed practice: theoretical analysis and practical implications. Exp. Psychol. 56, 236–246 (2009). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“For verbal learning with a retention interval of 6 months, a training interval of 7 days was superior to an interval of 3 days71.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [71] Cepeda, N. J. et al. Optimizing distributed practice: theoretical analysis and practical implications. Exp. Psychol. 56, 236–246 (2009). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“With a longer retention interval of 1 day, a 1-day training interval yielded greater learning than did a very short (<30-second) interval.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [2] Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T. & Rohrer, D. Distributed practice in verbal recall tasks: a review and quantitative synthesis. Psychol. Bull. 132, 354–380 (2006). This extensive review and meta-analysis delineates the comprehensive body of knowledge describing human spaced and massed verbal learning, as well as theories posited to explain the superiority of spaced training over massed training in terms of inducing long-term memory formation. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“One study supporting the necessity of such replay found that the post-training suppression of activity of neurons that were engineered to overexpress CREB in the amygdala blocked the consolidation of a memory of association between cocaine and a location110.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [110] Hsiang, H. L. et al. Manipulating a “cocaine engram” in mice. J. Neurosci. 34, 14115–14127 (2014). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Thus, pairs of parameter changes were considered, corresponding to plausible paired-drug effects. Two pairs were identified that restored LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [104] Smolen, P., Baxter, D. A. & Byrne, J. H. Simulations suggest pharmacological methods for rescuing long-term potentiation. J. Theor. Biol. 360, 243–250 (2014). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- It may state two separate claims as one. 27
- Probably not a substantial claim. 23
None of the sources cited for this claim have been checked yet.
In the paper
“For example, spaced learning is more effective than massed learning for facts, concepts and lists2–4, skill learning and motor learning5,6, in classroom education (including science learning and vocabulary learning)7–9, and in generalization of conceptual knowledge in children10.”
§ The right time to learn: mechanisms and optimization of spaced learning > Abstract
What the sources say
- Not checked yetcites [2] Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T. & Rohrer, D. Distributed practice in verbal recall tasks: a review and quantitative synthesis. Psychol. Bull. 132, 354–380 (2006). This extensive review and meta-analysis delineates the comprehensive body of knowledge describing human spaced and massed verbal learning, as well as theories posited to explain the superiority of spaced training over massed training in terms of inducing long-term memory formation. source
- Not checked yetcites [3] Godbole, N. R., Delaney, P. F. & Verkoeijen, P. P. The spacing effect in immediate and delayed free recall. Memory 22, 462–469 (2014). source
- Not checked yetcites [4] Raman, M. et al. Teaching in small portions dispersed over time enhances long-term knowledge retention. Med. Teach. 32, 250–255 (2010). source
- Not checked yetcites [5] Donovan, J. J. & Radosevich, D. J. A meta-analytic review of the distribution of practice effect. J. Appl. Psychol. 84, 795–805 (1999). source
- Not checked yetcites [6] Shea, C. H., Lai, Q., Black, C. & Park, J. H. Spacing practice sessions across days benefits the learning of motor skills. Hum. Mov. Sci. 19, 737–760 (2000). source
- Not checked yetcites [7] Gluckman, M., Vlach, H. A. & Sandhofer, C. M. Spacing simultaneously promotes multiple forms of learning in children's science curriculum. Appl. Cognit. Psychol. 28, 266–273 (2014). source
- Not checked yetcites [8] McDaniel, M. A. & Callender, A. A. in Learning and Memory: A Comprehensive Reference Vol. 2 (ed. Roediger, H. L.) 819–844 (Academic Press, 2008). source
- Not checked yetcites [9] Sobel, H. S., Cepeda, N. J. & Kapler, I. V. Spacing effects in real-world classroom vocabulary learning. Appl. Cognit. Psychol. 25, 763–767 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“There is now agreement that learning is implemented, at least in part, by changes in synaptic strength (synaptic plasticity).”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [42] Nabavi, S. et al. Engineering a memory with LTD and LTP. Nature 511, 348–352 (2014). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Instead, they suggest that the first theta-burst stimulus initiates priming at all synaptic contacts of the stimulated afferents but only initiates consolidation and strengthening at a subset of contacts.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“LTP that persists for several hours or more requires translation and transcription50,51, which is reliant on key transcription factors such as cyclic AMP-responsive element (CRE)-binding protein (CREB)52.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [50] Nguyen, P. V., Abel, T. & Kandel, E. R. Requirement of a critical period of transcription for induction of a late phase of LTP. Science 265, 1104–1107 (1994). source
- Not checked yetcites [51] Scharf, M. T. et al. Protein synthesis is required for the enhancement of long-term potentiation and long-term memory by spaced training. J. Neurophysiol. 87, 2770–2777 (2002). source
- Not checked yetcites [52] Kandel, E. R. The molecular biology of memory storage: a dialogue between genes and synapses. Science 294, 1249–1254 (2001). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Each theta-burst stimulus led to actin filament polymerization in spines, which is known to be important for the stabilization of LTP49.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [49] Rex, C. S. et al. Different Rho GTPase-dependent signaling pathways initiate sequential steps in the consolidation of long-term potentiation. J. Cell Biol. 186, 85–97 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Spines that undergo priming but not consolidation exhibit a refractory period of ~60 minutes, suggesting that priming takes time to complete (FIG. 2a).”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In an olfactory learning protocol, each spaced training trial generated a distinct wave of MAPK activity, whereas massed training trials were too close together to generate distinct waves.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [16] Pagani, M. R., Oishi, K., Gelb, B. D. & Zhong, Y. The phosphatase SHP2 regulates the spacing effect for long-term memory induction. Cell 139, 186–198 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Computational simulations have supported the plausibility of this mechanism65, but it has not been validated empirically.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [65] Smolen, P., Baxter, D. A. & Byrne, J. H. Frequency selectivity, multistability, and oscillations emerge from models of genetic regulatory systems. Am. J. Physiol. 274, C531–C542 (1998). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Protein phosphatase 1 (PP1) appeared to be necessary for this spacing effect, because PP1 inhibition allowed the shorter interval to activate CREB.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [61] Genoux, D. et al. Protein phosphatase 1 is a molecular constraint on learning and memory. Nature 418, 970–974 (2002). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Following either a single 5-HT pulse or a single electric shock, MAPK activation peaked at or near 45 minutes post-trial12,66; thus, a 45-minute interval might optimally reinforce the effects of MAPK.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [12] Philips, G. T., Ye, X., Kopec, A. M. & Carew, T. J. MAPK establishes a molecular context that defines effective training patterns for long-term memory formation. J. Neurosci. 33, 7565–7573 (2013). This work characterized the dynamics of MAPK and its activation of C/EBP, a transcription factor that is important for long-term memory formation, identifying the response of MAPK within a specific time window as essential for generating an optimal inter-trial interval. source
- Not checked yetcites [66] Philips, G. T., Tzvetkova, E. I. & Carew, T. J. Transient mitogen-activated protein kinase activation is confined to a narrow temporal window required for the induction of two-trial long term memory in Aplysia. J. Neurosci. 27, 13701–13705 (2007). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Two isoforms of D. melanogaster CREB — dCREB2-a and dCREB2-r — can activate and repress transcription, respectively.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [64] Yin, J. C., Del Vecchio, M., Zhou, H. & Tully, T. CREB as a memory modulator: induced expression of a dCREB2 activator isoform enhances long-term memory in Drosophila. Cell 81, 107–115 (1995). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
In the paper
“In experiments with A. californica, when two electric shocks were given to induce LTS, maximal LTS was produced when the inter-stimulus interval was 45 minutes. LTS was not produced with intervals of 15 or 60 minutes66.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [66] Philips, G. T., Tzvetkova, E. I. & Carew, T. J. Transient mitogen-activated protein kinase activation is confined to a narrow temporal window required for the induction of two-trial long term memory in Aplysia. J. Neurosci. 27, 13701–13705 (2007). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In vivo, four spaced electrical stimuli (with 30 minutes intervals between the stimuli) yielded LTS that lasted for more than 24 hours, with weak residual LTS being detectable at 4 days post-training, and repetition of this spaced protocol once per day for 4 days yielded much stronger LTS that lasted for more than 1 week13,57,58.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [13] Wainwright, M. L., Zhang, H., Byrne, J. H. & Cleary, L. J. Localized neuronal outgrowth induced by long-term sensitization training in Aplysia. J. Neurosci. 22, 4132–4141 (2002). source
- Not checked yetcites [57] Frost, W. N., Castellucci, V., Hawkins, R. D. & Kandel, E. R. Monosynaptic connections made by the sensory neurons of the gill- and siphon-withdrawal reflex in Aplysia participate in the storage of long-term memory for sensitization. Proc. Natl Acad. Sci. USA 82, 8266–8269 (1985). source
- Not checked yetcites [58] Pinsker, H. M., Hening, W. A., Carew, T. J. & Kandel, E. R. Long-term sensitization of a defensive withdrawal reflex in Aplysia. Science 182, 1039–1042 (1973). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“One study in mice61 found marked phosphorylation and activation of CREB in the hippocampus and the cortex when object recognition trials were separated by an interval of 15 minutes but not by an interval of 5 minutes.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [61] Genoux, D. et al. Protein phosphatase 1 is a molecular constraint on learning and memory. Nature 418, 970–974 (2002). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Following inhibitory avoidance training in rats, late peaks in brain-derived neurotrophic factor (BDNF) expression and in C/EBP expression occur at ~12 hours post-training, and inhibiting BDNF action at this time blocks memory maintenance59.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [59] Beckinschtein, P. et al. Persistence of long-term memory storage requires a late protein synthesis- and BDNF-dependent phase in the hippocampus. Neuron 53, 261–277 (2007). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is known that PKC acts to downregulate protein kinase A (PKA) and that PKA activation is necessary for LTF; thus, these data delineate crosstalk between signalling pathways such that LTF is suppressed, in part, by stronger PKC activation during massed training.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“One study80 found that in a hippocampal slice preparation, 5–10-minute intervals between tetani were ideal for induction of LTP, and they produced similar levels of LTP, with longer or shorter intervals yielding both less LTP and less ERK1/2 activation.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [80] Ajay, S. M. & Bhalla, U. S. A role for ERKII in synaptic pattern selectivity on the time scale of minutes. Eur. J. Neurosci. 20, 2671–2680 (2004). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Similarly, training with intervals of 60 minutes, but not 20 or 120 minutes, enhanced object recognition learning in wild-type mice and in a mouse model of fragile X syndrome (fragile X mental retardation 1 (Fmr1)-knockout mice), at least partly by increasing synaptic activation of extracellular signal-regulated kinase 1 (ERK1; also known as MAPK3) and ERK2 (also known as MAPK1)67.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
What the sources say
- Not checked yetcites [67] Seese, R. R., Wang, K., Yao, Y. Q., Lynch, G. & Gall, C. M. Spaced training rescues memory and ERK1/2 signaling in fragile X syndrome model mice. Proc. Natl Acad. Sci. USA 111, 16907–16912 (2014). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Here, the rate-limiting process would be different — plausibly slower activation of an unspecified kinase or other intracellular signalling event, with a time constant near the minimum effective interval of ~40 minutes.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such brief intervals might allow for the reinforcement of the activity of a short-lived second messenger such as cAMP that is produced by preceding trials.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, for rapid honeybee olfactory learning with an effective interval of 1 minute, the rate-limiting process might be second messenger accumulation or rapid activation of a kinase.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“it is hypothesized82 that subsequent theta-burst stimuli at these synaptic contacts cannot induce spine enlargement or LTP until after this replacement has occurred, thus accounting for the refractory period of ~1 hour in order for a second theta-burst stimulus to yield additional LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
What the sources say
- Not checked yetcites [82] Babayan, A. H. et al. Integrin dynamics produce a delayed stage of long-term potentiation and memory consolidation. J. Neurosci. 32, 12854–12861 (2012). source
Tests✗ Asserted: fails✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. The authors may not put it forward as true.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Priming allows these spines to potentiate after the second stimulus, and thus constitutes a biochemical stimulus trace (FIGS 1d,2a).”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These hypothesized dynamics may be in line with deficient-processing theory, with receptor replacement being the necessary process that can only occur during spaced inter-trial intervals (FIG. 3).”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For intervals longer than the maximum, the individual biochemical traces would decay and not overlap.”
§ The right time to learn: mechanisms and optimization of spaced learning > Molecular traces of time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
- The authors state this as an assumption: For maximum intervals, each trial or stimulus generates a separate, relatively short-lived biochemical trace, and for effective spaced learning these traces must overlap and summate, with the summed magnitude driving long-lasting synaptic potentiation.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Indeed, different theories may be more or less applicable to different memory systems.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
In the paper
“These variants have also been argued not to readily accommodate certain verbal learning observations2.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
What the sources say
- Not checked yetcites [2] Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T. & Rohrer, D. Distributed practice in verbal recall tasks: a review and quantitative synthesis. Psychol. Bull. 132, 354–380 (2006). This extensive review and meta-analysis delineates the comprehensive body of knowledge describing human spaced and massed verbal learning, as well as theories posited to explain the superiority of spaced training over massed training in terms of inducing long-term memory formation. source
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It also seems plausible that repeated memory reactivations might induce further rounds of transcription of genes involved in LTP, such as C/ebp and other CREB-activated genes, supporting further consolidation of long-term memory.”
§ The right time to learn: mechanisms and optimization of spaced learning > Recent data and learning theories
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“For almost all learning paradigms, the training intervals are fixed, although in one type of spaced training paradigm, the intervals between sessions progressively lengthen2,84.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [2] Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T. & Rohrer, D. Distributed practice in verbal recall tasks: a review and quantitative synthesis. Psychol. Bull. 132, 354–380 (2006). This extensive review and meta-analysis delineates the comprehensive body of knowledge describing human spaced and massed verbal learning, as well as theories posited to explain the superiority of spaced training over massed training in terms of inducing long-term memory formation. source
- Not checked yetcites [84] Karpicke, J. D. & Roediger, H. L. Is expanding retrieval a superior method for learning text materials? Mem. Cognit. 38, 116–124 (2010). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, subsequent trials that are delivered at times that coincide with kinase activity peaks might optimally reinforce learning.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“This standard protocol yielded an intermediate peak value of inducer and was predicted to have an intermediate effectiveness (FIG. 4c).”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [85] Zhang, Y. et al. Computational design of enhanced learning protocols. Nat. Neurosci. 15, 294–297 (2012). This study found that computational models describing long-term synaptic strengthening can successfully predict optimal spaced training protocols, with irregular inter-trial intervals, that enhance learning. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“One approach is to develop models of the biochemical cascades that underlie memory formation and use simulations to rapidly test the effectiveness of different training protocols85.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [85] Zhang, Y. et al. Computational design of enhanced learning protocols. Nat. Neurosci. 15, 294–297 (2012). This study found that computational models describing long-term synaptic strengthening can successfully predict optimal spaced training protocols, with irregular inter-trial intervals, that enhance learning. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“In response to each 5-HT pulse, PKA activity increases rapidly and decays rapidly (FIG. 4c).”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [11] Philips, G. T., Kopec, A. M. & Carew, T. J. Pattern and predictability in memory formation: from molecular mechanisms to clinical relevance. Neurobiol. Learn. Mem. 105, 117–124 (2013). source
- Not checked yetcites [12] Philips, G. T., Ye, X., Kopec, A. M. & Carew, T. J. MAPK establishes a molecular context that defines effective training patterns for long-term memory formation. J. Neurosci. 33, 7565–7573 (2013). This work characterized the dynamics of MAPK and its activation of C/EBP, a transcription factor that is important for long-term memory formation, identifying the response of MAPK within a specific time window as essential for generating an optimal inter-trial interval. source
- Not checked yetcites [92] Müller, U. & Carew, T. J. Serotonin induces temporally and mechanistically distinct phases of persistent PKA activity in Aplysia sensory neurons. Neuron 21, 1423–1434 (1998). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The protocol termed the ‘standard’ protocol (five 5-minute pulses of 5-HT, with uniform inter-stimulus intervals of 20 minutes) (FIG. 4b) has been commonly used to induce LTF in empirical studies for ~30 years91.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [91] Montarolo, P. G. et al. A critical period for macromolecular synthesis in long-term heterosynaptic facilitation in Aplysia. Science 234, 1249–1254 (1986). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Each signalling cascade in these models displays a characteristic activity time course; thus, it is likely some irregular sequence of intervals would be predicted to maximize the induction of LTP.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“A recent study104 took a first step by modelling LTP induction and transcriptional regulation by CREB, and simulating the effects of drugs on LTP by altering the parameters of the model.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [104] Smolen, P., Baxter, D. A. & Byrne, J. H. Simulations suggest pharmacological methods for rescuing long-term potentiation. J. Theor. Biol. 360, 243–250 (2014). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“Cbp+/− mice show impaired LTP and long-term memory95.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [95] Alarcon, J. M. et al. Chromatin acetylation, memory, and LTP are impaired in CBP+/− mice: a model for the cognitive deficit in Rubinstein–Taybi syndrome and its amelioration. Neuron 42, 947–959 (2004). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“MAPK activity rises and decays more slowly, not peaking until ~45 minutes after a pulse.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [11] Philips, G. T., Kopec, A. M. & Carew, T. J. Pattern and predictability in memory formation: from molecular mechanisms to clinical relevance. Neurobiol. Learn. Mem. 105, 117–124 (2013). source
- Not checked yetcites [12] Philips, G. T., Ye, X., Kopec, A. M. & Carew, T. J. MAPK establishes a molecular context that defines effective training patterns for long-term memory formation. J. Neurosci. 33, 7565–7573 (2013). This work characterized the dynamics of MAPK and its activation of C/EBP, a transcription factor that is important for long-term memory formation, identifying the response of MAPK within a specific time window as essential for generating an optimal inter-trial interval. source
- Not checked yetcites [92] Müller, U. & Carew, T. J. Serotonin induces temporally and mechanistically distinct phases of persistent PKA activity in Aplysia sensory neurons. Neuron 21, 1423–1434 (1998). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This last pulse activates PKA, so that a PKA peak is approximately coincident with peak MAPK activation, maximizing inducer and the predicted LTF.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Mutations that decrease CBP activity cause a human genetic disorder termed Rubinstein–Taybi syndrome (RTS)94, which is associated with intellectual disability and learning deficits”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [94] Park, E. et al. Epigenetic mechanisms of Rubinstein–Taybi syndrome. Neuromolecular Med. 16, 16–24 (2014). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“LTP impairment seen in a mouse model of RTS95 was first simulated.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [95] Alarcon, J. M. et al. Chromatin acetylation, memory, and LTP are impaired in CBP+/− mice: a model for the cognitive deficit in Rubinstein–Taybi syndrome and its amelioration. Neuron 42, 947–959 (2004). source
- Not checked yetcites [104] Smolen, P., Baxter, D. A. & Byrne, J. H. Simulations suggest pharmacological methods for rescuing long-term potentiation. J. Theor. Biol. 360, 243–250 (2014). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although encouraging, these manipulations lack the cellular precision that is necessary to demonstrate conclusively that reactivation of a particular assembly of neurons is essential for the persistence of long-term memory.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“Similar blocking effects were obtained by the indiscriminate activation of neurons that overexpressed CREB.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [110] Hsiang, H. L. et al. Manipulating a “cocaine engram” in mice. J. Neurosci. 34, 14115–14127 (2014). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Indeed, enhancing normal learning by judicious pharmacotherapy has recently received attention111”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [111] Lynch, G., Cox, C. D. & Gall, C. M. Pharmacological enhancement of memory or cognition in normal subjects. Front. Syst. Neurosci. 8, 90 (2014). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The second pair corresponded to a PDE inhibitor paired with a deacetylase inhibitor.”
§ The right time to learn: mechanisms and optimization of spaced learning > Irregular spacing can enhance learning
What the sources say
- Not checked yetcites [104] Smolen, P., Baxter, D. A. & Byrne, J. H. Simulations suggest pharmacological methods for rescuing long-term potentiation. J. Theor. Biol. 360, 243–250 (2014). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For the temporal range of minutes versus hours, it is plausible that a longer trace lifetime corresponds, at least in part, to increased activation of transcription by the longer training intervals.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, this explanation may not suffice when comparing training intervals of ~1 day versus many days.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
Strength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“In model development, data from several preparation types (for example, cell cultures and slices) and species (for example, primates and rodents) commonly need to be used to estimate different parameters86,88.”
§ The right time to learn: mechanisms and optimization of spaced learning > Future directions
What the sources say
- Not checked yetcites [86] Bhalla, U. S. & Iyengar, R. Emergent properties of networks of biological signaling pathways. Science 283, 381–387 (1999). source
- Not checked yetcites [88] Smolen, P., Baxter, D. A. & Byrne, J. H. A model of the roles of essential kinases in the induction and expression of late long-term potentiation. Biophys. J. 90, 2760–2775 (2006). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The authors state this as an assumption.
In Landauer's model, the state of a neural circuit following the first learning trial is such that a second reinforcing trial soon after will not markedly increase the consolidation of the learning trace resulting from the first trial.
“First, the state of a neural circuit following the first learning trial is such that a second reinforcing trial soon after will not markedly increase the consolidation of the learning trace resulting from the first trial (FIG. 1a).”
The authors state this as an assumption.
In Landauer's model, the probability that the second trial can successfully reinforce the first trial declines with time.
“The second assumption is that the probability that the second trial can successfully reinforce the first trial declines with time (FIG. 1e).”
The authors state this as an assumption.
For maximum intervals, each trial or stimulus generates a separate, relatively short-lived biochemical trace, and for effective spaced learning these traces must overlap and summate, with the summed magnitude driving long-lasting synaptic potentiation.
“For maximum intervals, a reasonable qualitative assumption is that each trial or stimulus generates a separate, relatively short-lived biochemical trace and that, for effective spaced learning, these traces must overlap and summate, with the summed magnitude driving long-lasting synaptic potentiation.”
The authors state this as an assumption.
Reactivations of a memory reactivate some of the same neurons and synapses that were activated in the original learning sessions.
“To more strongly connect this variant of deficient-processing theory to recent cellular and molecular data, one must also assume that reactivations of a memory reactivate some of the same neurons and synapses that were activated in the original learning sessions.”
The authors state this as an assumption.
The necessity of PKA and ERK activation for LTF can be represented by a variable 'inducer' whose value is proportional to the product of PKA and MAPK activities.
“In the model (FIG. 4a), the necessity of PKA and ERK activation for LTF was simply represented with a variable termed ‘inducer’. The value of inducer was proportional to the product of PKA and MAPK activities.”
The authors state this as an assumption.
The amount of LTF and LTS increases with an increase in the peak value of inducer.
“The amount of LTF and LTS was predicted to increase with an increase in the peak value of inducer.”
The authors state this as an assumption.
Greater peak levels of phosphorylated C/EBP (pC/EBP) predict greater LTF.
“In simulations of the effects of different spaced protocols, greater peak levels of phosphorylated C/EBP (pC/EBP) were taken to predict greater LTF.”
The authors state this as an assumption.
The magnitude of LTP induction can be represented by an increase in a synaptic weight variable.
“In this model, the magnitude of LTP induction was represented by an increase in a synaptic weight variable.”
The authors state this as an assumption.
Parameter changes in the model correspond to plausible single-drug effects.
“Then, starting from this simulation, the parameters were altered in ways corresponding to plausible single-drug effects.”
The authors state this as an assumption.
Parameter changes in the model correspond to plausible paired-drug effects.
“Thus, pairs of parameter changes were considered, corresponding to plausible paired-drug effects.”
The paper relies on this without support.
CBP is an acetyltransferase and essential co-activator for several transcription factors, including pCREB.
“CREB-binding protein (CBP) is an acetyltransferase and essential co-activator for several transcription factors, including phosphorylated CREB (pCREB).”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Although the spacing effect is recognized as a solid psychological law, in this review, neurodidactics is used as an integrative conceptual framework.”
From Systematic Review of the Effectiveness of Neurodidactic Spaced Learning Strategies in Long-Term Memory (2026) · cites this paper as Smolen et al., 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
A 40-minute interval is described as both ineffective and approximately the minimum effective interval
MinorThe paper reports that theta-burst stimuli at 40-minute intervals did not cumulatively increase LTP, but later describes approximately 40 minutes as the minimum effective interval for the same spaced-LTP protocol.
“Theta-burst stimuli applied at intervals of 10 or 40 minutes did not cumulatively increase LTP. However, for longer intervals (60 or 90 minutes), a cumulative increase in LTP was observed over three bursts of stimulation.”
“For the spaced LTP protocol of Gall, Lynch and colleagues47,48, an interval of 40–60 minutes is needed for successive theta-burst stimuli to further increase LTP. Here, the rate-limiting process would be different — plausibly slower activation of an unspecified kinase or other intracellular signalling event, with a time constant near the minimum effective interval of ~40 minutes.”
Citations
Cites
The molecular biology of memory storage: a dialogue between genes and synapses
Kandel, E. R. (2001) · Science · doi:10.1126/science.1067020 · Cited by 3,917
Memory: A Contribution to Experimental Psychology
Ebbinghaus, H. (2013) · Annals of Neurosciences · doi:10.5214/ans.0972.7531.200408 · Cited by 2,827
Distributed practice in verbal recall tasks: A review and quantitative synthesis.
Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.3.354 · Cited by 1,888
Emergent Properties of Networks of Biological Signaling Pathways
Bhalla, U. S., & Iyengar, R. (1999) · Science · doi:10.1126/science.283.5400.381 · Cited by 1,686
Memory: A contribution to experimental psychology.
Ebbinghaus, H. (1913) · doi:10.1037/10011-000 · Cited by 1,645
Silva, A. J., Kogan, J. H., Frankland, P. W., & Kida, S. (1998) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.21.1.127 · Cited by 1,462
Transcription Factors in Long-Term Memory and Synaptic Plasticity
Alberini, C. M. (2009) · Physiological Reviews · doi:10.1152/physrev.00017.2008 · Cited by 991
Engineering a memory with LTD and LTP
Nabavi, S., Fox, R., Proulx, C. D., Lin, J. Y., Tsien, R. Y., & Malinow, R. (2014) · Nature · doi:10.1038/nature13294 · Cited by 980
Genetic dissection of consolidated memory in Drosophila
Tully, T., Preat, T., Boynton, S. C., & Del Vecchio, M. (1994) · Cell · doi:10.1016/0092-8674(94)90398-0 · Cited by 924
Chromatin Acetylation, Memory, and LTP Are Impaired in CBP+/− Mice
Alarcón, J. M., Malleret, G., Touzani, K., Vronskaya, S., Ishii, S., Kandel, E. R., & Barco, A. (2004) · Neuron · doi:10.1016/j.neuron.2004.05.021 · Cited by 892
Flagged first, then by citations
Research works printed but not linked: 1
- Hintzman, D. L. in Theories in Cognitive Psychology: The Loyola Symposium (ed. Solso, R. L.) 77–90 (Erlbaum, 1974).
Cited by
Sorted by citations
Stanford Accelerated Intelligent Neuromodulation Therapy for Treatment-Resistant Depression
Cole, E. J., Stimpson, K. H., Bentzley, B. S., Gulser, M., Cherian, K., Tischler, C., Nejad, R., Pankow, H., Choi, E., Aaron, H., et al. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19070720 · Cited by 802
Computational principles of synaptic memory consolidation
Benna, M. K., & Fusi, S. (2016) · Nature Neuroscience · doi:10.1038/nn.4401 · Cited by 255
Danchin, É., Nöbel, S., Pocheville, A., Dagaeff, A.-C., Demay, L., Alphand, M., Ranty‐Roby, S., van Renssen, L. V., Monier, M., Gazagne, E., et al. (2018) · Science · doi:10.1126/science.aat1590 · Cited by 223
METTL3-mediated N6-methyladenosine mRNA modification enhances long-term memory consolidation
Zhang, Z., Wang, M., Xie, D., Huang, Z., Zhang, L., Yang, Y., Ma, D., Li, W., Zhou, Q., Wang, X., et al. (2018) · Cell Research · doi:10.1038/s41422-018-0092-9 · Cited by 211
The science of effective learning with spacing and retrieval practice
Carpenter, S. K., Pan, S. C., & Butler, A. C. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-022-00089-1 · Cited by 184
Metadata
- Authors
- Smolen, P., Zhang, Y., & Byrne, J. H.
- Corresponding author
- Byrne, John H.
- Venue
- Nature Reviews Neuroscience
- Published
- 2016-01-25
- Volume
- 17
- Issue
- 2
- Pages
- 77-88
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC5126970
- OpenAlex
- W2263535855
- Semantic Scholar
- 404e422d84d8c64e750bca5ce6d0eadc4d000953
- Cited by
- 326
- References
- 110
- Citations by year
- 2026: 32 · 2025: 52 · 2024: 51 · 2023: 39 · 2022: 36 · 2021: 32 · 2020: 29 · 2019: 15 · 2018: 13 · 2017: 22 · 2016: 5
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Institute of Neurological Disorders and Stroke (NS073974, NS019895, R01NS019895, R01NS073974, R37NS019895)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- spaced learning, massed training, intertrial interval, memory formation, synaptic plasticity, learning theory, signaling pathways, computational models of learning
- MeSH terms
- Animals, Computer Simulation, Humans, Learning, Models, Biological, Neuronal Plasticity, Time Factors, Signal Transduction, Memory, Long-Term
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review