The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index; none of the 160 sources its claims cite is checked for support yet.
Experience-dependent structural plasticity in the cortex
Open accessAbstract
Synapses are the fundamental units of neuronal circuits. Synaptic plasticity can occur through changes in synaptic strength, as well as through the addition/removal of synapses. Two-photon microscopy in combination with fluorescence labeling offers a powerful tool to peek into the living brain and follow structural reorganization at individual synapses. Time-lapse imaging depicts a dynamic picture in which experience-dependent plasticity of synaptic structures varies between different cortical regions and layers, as well as between neuronal subtypes. Recent studies have demonstrated that the formation and elimination of synaptic structures happens rapidly in a subpopulation of cortical neurons during various sensorimotor learning experiences, and that stabilized synaptic structures are associated with long lasting memories for the task. Therefore, circuit plasticity, mediated by structural remodeling, provides an underlying mechanism for learning and memory.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This review synthesizes in vivo two-photon imaging evidence that cortical synaptic structures are remodeled by experience, with rapid spine formation and elimination in subsets of neurons and stabilization linked to lasting memory. It argues that structural circuit rewiring complements synaptic strength changes in learning, while noting unresolved questions about deep layers, cell-type specificity, and causality.
Key findings
- Dendritic spines are highly dynamic early and then stabilize: filopodia fall from over 50% at 2 weeks to under 10% at 1 month and 2–3% in adult barrel cortex; roughly 30% of spines are pruned between 1 and 4 months; more than 70% of adult spines remain stable over 18 months.
- Experience changes spine dynamics: monocular deprivation increases spine formation and density selectively on L5 apical dendrites, and many new spines persist after binocular vision is restored; later deprivation enlarges these spines rather than adding more. Motor training induces new spines within one hour, learning acquisition correlates with spine formation, and skill maintenance correlates with survival of new spines, which can persist up to 4 months.
- Plasticity differs by cell type and region: L5 pyramidal neurons with complex apical tufts preferentially gain new spines; inhibitory interneuron dendrites are dynamic in superficial L2/3, with visual deprivation increasing dynamic branches about 3-fold and producing roughly 10% interneuron synapse turnover per week. Axonal boutons also differ, with thalamocortical boutons about 85% stable over a month versus about 60% turnover in L6 cortical axons, and about 7% weekly bouton turnover in adult monkey visual cortex.
- Structural changes likely correspond to functional synapses: EM and electrophysiology evidence indicates that persistent new spines and many boutons have synaptic contacts, although direct causal proof is still lacking.
Methods
- Narrative review of in vivo structural imaging studies, primarily using two-photon laser scanning microscopy with fluorescent labeling such as thy1 transgenic mice and viral EGFP.
- Covers excitatory pyramidal neurons, inhibitory interneurons, and axons across development and adulthood, including sensory manipulation, motor learning, songbird learning, stroke, neurodegeneration, and Fragile X Syndrome.
- Synthesizes findings on spine, filopodium, and bouton turnover, morphology, stability, and links to functional synaptic connectivity; no primary data or meta-analysis are presented.
Limitations
- Stated: current two-photon imaging is mostly limited to superficial cortical layers, mainly L1 and L2, leaving deeper-layer plasticity unclear; thy1 lines label sparse and often mixed cell populations, limiting cell-type-specific imaging; most learning studies show correlation rather than causation between structural dynamics and behavior.
- Stated: the field debates whether dendritic protrusions should be classified as spines versus filopodia and what baseline spine dynamics actually are; discrepancies may come from mouse lines, animal age, cranial window versus thin skull preparation, analysis methods, and imaging intervals.
- Evident: as a review, it lacks a systematic search or quantitative synthesis, and many conclusions rest on heterogeneous protocols and indirect structural proxies for synaptic connectivity.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
0 of 160 cited sources checked · 0 supported · 0 flagged
None of the sources cited for this claim have been checked yet.
In the paper
“Experience modifies these connections by selectively stabilizing some synapses and removing others [8, 12, 13].”
§ Experience-dependent Structural Plasticity in the Cortex > Introduction
What the sources say
- Not checked yetcites [8] Holtmaat A Svoboda K 2009 Experience-dependent structural synaptic plasticity in the mammalian brain Nat Rev Neurosci 10 647 658 19693029 source
- Not checked yetcites [12] Lichtman JW Colman H 2000 Synapse elimination and indelible memory Neuron 25 269 278 10719884 source
- Not checked yetcites [13] Draft RW Lichtman JW 2009 It’s lonely at the top: winning climbing fibers ascend dendrites solo Neuron 63 6 8 19607787 PMC2790139 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Recent in vivo studies show that mutant mice lacking the cell adhesion molecule, δ-catenin, undergo progressive retraction of dendrites and spine loss after 5 weeks of age [21].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [21] Matter C 2009 Delta-catenin is required for the maintenance of neural structure and function in mature cortex in vivo Neuron 64 320 327 19914181 PMC2840037 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Given the fact that filopodia are rare in adults, conclusions of adult spine dynamics are largely not affected by including or excluding filopodia from the analyses.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [36] Zuo Y 2005 Development of long-term dendritic spine stability in diverse regions of cerebral cortex Neuron 46 181 189 15848798 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
“In vivo imaging of cortical pyramidal neurons has shown that, except for small tip extensions and retractions, dendritic branches are mostly stable in adulthood [19, 20].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [19] Trachtenberg JT 2002 Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex Nature 420 788 794 12490942 source
- Not checked yetcites [20] Mizrahi A Katz LC 2003 Dendritic stability in the adult olfactory bulb Nat Neurosci 6 1201 1207 14528309 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
“Both studies reveal a significant increase in spine turnover in the barrel cortex of Fmr1 KO mice.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [75] Cruz-Martin A 2010 Delayed stabilization of dendritic spines in fragile X mice J Neurosci 30 7793 7803 20534828 PMC2903441 source
- Not checked yetcites [76] Pan F 2010 Dendritic spine instability and insensitivity to modulation by sensory experience in a mouse model of fragile X syndrome Proc Natl Acad Sci U S A 107 17768 17773 20861447 PMC2955121 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“At one month of age, a small percentage (~15%) of filopodia has been observed to form bulbous heads within 4 hours in vivo.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
- Not checked yetcites [36] Zuo Y 2005 Development of long-term dendritic spine stability in diverse regions of cerebral cortex Neuron 46 181 189 15848798 source
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“In early postnatal development (i.e., around 2 weeks of age), both dendritic spines and filopodia are very dynamic, appearing, disappearing or changing shape over tens of minutes [17].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
- Not checked yetcites [17] Lendvai B 2000 Experience-dependent plasticity of dendritic spines in the developing rat barrel cortex in vivo Nature 404 876 881 10786794 source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“They also show a delayed maturation of spines [75]”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [75] Cruz-Martin A 2010 Delayed stabilization of dendritic spines in fragile X mice J Neurosci 30 7793 7803 20534828 PMC2903441 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, dramatic spine loss and neurite dystrophy have been observed in the vicinity of β-amyloid plaques in the cortex of mouse models of Alzheimer’s disease [72, 73].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [72] Tsai J 2004 Fibrillar amyloid deposition leads to local synaptic abnormalities and breakage of neuronal branches Nat Neurosci 7 1181 1183 15475950 source
- Not checked yetcites [73] Spires TL 2005 Dendritic spine abnormalities in amyloid precursor protein transgenic mice demonstrated by gene transfer and intravital multiphoton microscopy J Neurosci 25 7278 7287 16079410 PMC1820616 source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“and a decreased sensitivity of spine plasticity to sensory manipulation [76]”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [76] Pan F 2010 Dendritic spine instability and insensitivity to modulation by sensory experience in a mouse model of fragile X syndrome Proc Natl Acad Sci U S A 107 17768 17773 20861447 PMC2955121 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- It may state two separate claims as one. 46
- Probably not a substantial claim. 7
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 cumulative results from these in vivo studies reveal that development, experience, and various pathologies all affect spine and filopodium dynamics in significant ways”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
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
“Cumulative data have shown that experience-dependent plasticity occurs in adulthood and it is now well accepted that neuronal circuits of the mammalian brain are capable of changing in response to new experience throughout life [7–11].”
§ Experience-dependent Structural Plasticity in the Cortex > Introduction
What the sources say
- Not checked yetcites [7] Zito K Svoboda K 2002 Activity-dependent synaptogenesis in the adult Mammalian cortex Neuron 35 1015 1017 12354392 source
- Not checked yetcites [8] Holtmaat A Svoboda K 2009 Experience-dependent structural synaptic plasticity in the mammalian brain Nat Rev Neurosci 10 647 658 19693029 source
- Not checked yetcites [9] Bavelier D 2010 Removing brakes on adult brain plasticity: from molecular to behavioral interventions J Neurosci 30 14964 14971 21068299 PMC2992973 source
- Not checked yetcites [10] Chen JL Nedivi E 2010 Neuronal structural remodeling: is it all about access? Curr Opin Neurobiol 20 557 562 20621466 PMC2946477 source
- Not checked yetcites [11] Yu X Zuo Y 2010 Spine plasticity in the motor cortex Curr Opin Neurobiol 10.1016/j.conb.2010.07.010 PMC2991530 20728341
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
“It is generally believed that a functional, mature neuronal circuit is formed from an initial pool of less precise synaptic connections.”
§ Experience-dependent Structural Plasticity in the Cortex > Introduction
What the sources say
- Not checked yetcites [8] Holtmaat A Svoboda K 2009 Experience-dependent structural synaptic plasticity in the mammalian brain Nat Rev Neurosci 10 647 658 19693029 source
- Not checked yetcites [12] Lichtman JW Colman H 2000 Synapse elimination and indelible memory Neuron 25 269 278 10719884 source
- Not checked yetcites [13] Draft RW Lichtman JW 2009 It’s lonely at the top: winning climbing fibers ascend dendrites solo Neuron 63 6 8 19607787 PMC2790139 source
Strength:hedged· 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.
None of the sources cited for this claim have been checked yet.
In the paper
“In the adult brain, synaptic plasticity continues through modifications of synaptic strength, as well as through formation and elimination of synapses [8, 10].”
§ Experience-dependent Structural Plasticity in the Cortex > Introduction
What the sources say
- Not checked yetcites [8] Holtmaat A Svoboda K 2009 Experience-dependent structural synaptic plasticity in the mammalian brain Nat Rev Neurosci 10 647 658 19693029 source
- Not checked yetcites [10] Chen JL Nedivi E 2010 Neuronal structural remodeling: is it all about access? Curr Opin Neurobiol 20 557 562 20621466 PMC2946477 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In contrast, absence of the tumor suppressor protein, phosphatase and tensin homolog (PTEN), results in continuous growth of L2/3 pyramidal neuron apical dendrites and expansion of the mature cortex [22].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [22] Chow DK 2009 Laminar and compartmental regulation of dendritic growth in mature cortex Nat Neurosci 12 116 118 19151711 PMC2842592 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Ischemic stroke causes a rapid (within minutes) loss of spines and distortion of dendrites, which can be mostly recovered if reperfusion happens within one hour [67–69].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [67] Zhang S 2005 Rapid reversible changes in dendritic spine structure in vivo gated by the degree of ischemia J Neurosci 25 5333 5338 15930381 PMC6724996 source
- Not checked yetcites [68] Zhang S Murphy TH 2007 Imaging the impact of cortical microcirculation on synaptic structure and sensory-evoked hemodynamic responses in vivo PLoS Biol 5 e119 17456007 PMC1854912 source
- Not checked yetcites [69] Murphy TH 2008 Two-photon imaging of stroke onset in vivo reveals that NMDA-receptor independent ischemic depolarization is the major cause of rapid reversible damage to dendrites and spines J Neurosci 28 1756 1772 18272696 PMC6671530 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Not only are these protrusions heterogeneous in shape [23–25], their density also changes during development and varies among different types of neurons [26–28].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [26] Nimchinsky EA 2002 Structure and function of dendritic spines Annu Rev Physiol 64 313 353 11826272 source
- Not checked yetcites [27] Zuo Y 2005 Long-term sensory deprivation prevents dendritic spine loss in primary somatosensory cortex Nature 436 261 265 16015331 source
- Not checked yetcites [28] Holtmaat AJ 2005 Transient and persistent dendritic spines in the neocortex in vivo Neuron 45 279 291 15664179 source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ 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 stroke, dendritic branch remodeling and spine formation are selectively elevated in the peri-infarct area, leading to a gradual recovery of spine density between 1 and 6 weeks [70, 71].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [70] Brown CE 2007 Extensive turnover of dendritic spines and vascular remodeling in cortical tissues recovering from stroke J Neurosci 27 4101 4109 17428988 PMC6672555 source
- Not checked yetcites [71] Brown CE 2010 Longitudinal in vivo imaging reveals balanced and branch-specific remodeling of mature cortical pyramidal dendritic arbors after stroke J Cereb Blood Flow Metab 30 783 791 19920846 PMC2949167 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
“Between 1 to 4 months of age, more spines are lost than formed in all cortical regions examined, resulting in a ~30% pruning of total spines [27, 36].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
- Not checked yetcites [27] Zuo Y 2005 Long-term sensory deprivation prevents dendritic spine loss in primary somatosensory cortex Nature 436 261 265 16015331 source
- Not checked yetcites [36] Zuo Y 2005 Development of long-term dendritic spine stability in diverse regions of cerebral cortex Neuron 46 181 189 15848798 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ 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 adults, more than 70% of spines are stable over 18 months, with comparable rates of spine formation and elimination [36, 39].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ 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 summary, despite the debate on the baseline of spine dynamics (Box 2), it is now believed that dendritic spines change their morphology and turn over rapidly in developing animals but become much more stable in adults.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
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
“While filopodia turn over on a daily basis, spines are much more stable [36, 39].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Since post-stroke behavioral recovery is thought to be dependent on adjacent, surviving tissues taking over the function of damaged tissues, these studies provide a structural basis for functional reorganization in the peri-infarct region.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons
What the sources say
- Not checked yetcites [70] Brown CE 2007 Extensive turnover of dendritic spines and vascular remodeling in cortical tissues recovering from stroke J Neurosci 27 4101 4109 17428988 PMC6672555 source
- Not checked yetcites [71] Brown CE 2010 Longitudinal in vivo imaging reveals balanced and branch-specific remodeling of mature cortical pyramidal dendritic arbors after stroke J Cereb Blood Flow Metab 30 783 791 19920846 PMC2949167 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“However, less than 20% of these newly formed spines persist for more than 2 days, suggesting that spine stabilization is a highly selective process [36].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
- Not checked yetcites [36] Zuo Y 2005 Development of long-term dendritic spine stability in diverse regions of cerebral cortex Neuron 46 181 189 15848798 source
Load-bearingStrength:hedged· not yet calibratedTests✓ 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
“Since new spines are more vulnerable for elimination and only a small percentage of them are stabilized over time [37, 38], the degree of spine dynamics does not necessarily increase linearly with increased imaging intervals.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
- Not checked yetcites [37] Xu T 2009 Rapid formation and selective stabilization of synapses for enduring motor memories Nature 462 915 919 19946267 PMC2844762 source
- Not checked yetcites [38] Yang G 2009 Stably maintained dendritic spines are associated with lifelong memories Nature 462 920 924 19946265 PMC4724802 source
Load-bearingStrength:plain· not yet calibratedTests✓ 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
“Therefore, while shorter time intervals are biased towards the changes of transient structures, longer time intervals are likely to underestimate the structural plasticity.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The effect of light exposure can be partially mimicked by increasing inhibitory signaling, suggesting that a balance between excitatory and inhibitory circuits plays an important role in spine maturation during development [32].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [32] Tropea D 2010 Structural dynamics of synapses in vivo correlate with functional changes during experience-dependent plasticity in visual cortex J Neurosci 30 11086 11095 20720116 PMC2932955 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“This in line with previous findings that found that excitatory-inhibitory balance is crucial for correct development of visual function during the critical period [45], thus suggesting that spine maturation and plasticity is an important underlying component of the functional changes that occur in the visual pathway.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [45] Fagiolini M Hensch TK 2000 Inhibitory threshold for critical-period activation in primary visual cortex Nature 404 183 186 10724170 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In addition, monocular deprivation (MD) increases spine formation and leads to a higher spine density selectively in the apical dendrites of L5 neurons in the mouse binocular region [30].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [30] Hofer SB 2009 Experience leaves a lasting structural trace in cortical circuits Nature 457 313 317 19005470 PMC6485433 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
“Given the cell-type dependent dendrite morphology and dynamics [28–30], the inconsistency in baseline dynamics of dendritic spines could be due to variation in neuronal subtypes labeled in these two different mouse lines.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
- Not checked yetcites [28] Holtmaat AJ 2005 Transient and persistent dendritic spines in the neocortex in vivo Neuron 45 279 291 15664179 source
- Not checked yetcites [29] Holtmaat A 2006 Experience-dependent and cell-type-specific spine growth in the neocortex Nature 441 979 983 16791195 source
- Not checked yetcites [30] Hofer SB 2009 Experience leaves a lasting structural trace in cortical circuits Nature 457 313 317 19005470 PMC6485433 source
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
“A few days of light exposure during the critical period (i.e., postnatal days (P) 21–28 in mice) decreases spine motility and restores the mature spine morphology [32].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [32] Tropea D 2010 Structural dynamics of synapses in vivo correlate with functional changes during experience-dependent plasticity in visual cortex J Neurosci 30 11086 11095 20720116 PMC2932955 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Furthermore, it has been shown that filopodia almost completely turnover on a daily basis [36], thus including or excluding filopodia in the analysis may greatly contribute to the discrepancy between results.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
- Not checked yetcites [36] Zuo Y 2005 Development of long-term dendritic spine stability in diverse regions of cerebral cortex Neuron 46 181 189 15848798 source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Since the dynamics of dendritic spines [28, 36] decrease with age, it could therefore be hard to compare between different baselines.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Plasticity during development
What the sources say
- Not checked yetcites [28] Holtmaat AJ 2005 Transient and persistent dendritic spines in the neocortex in vivo Neuron 45 279 291 15664179 source
- Not checked yetcites [36] Zuo Y 2005 Development of long-term dendritic spine stability in diverse regions of cerebral cortex Neuron 46 181 189 15848798 source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Furthermore, elimination during subsequent training is largely restricted to spines that existed before training, while the new spines induced during learning are found to be preferentially stabilized, even long after training stops (i.e., up to 4 months) [37]”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [37] Xu T 2009 Rapid formation and selective stabilization of synapses for enduring motor memories Nature 462 915 919 19946267 PMC2844762 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Given the fact that distal and proximal forelimb corticospinal neurons are intermingled within the rat motor cortex [47], this finding indicates that structural changes during learning are restricted to discrete subsets of neurons preferentially involved in novel motor experience.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [47] Wang L 2010 Structural plasticity within highly specific neuronal populations identifies a unique parcellation of motor learning in the adult brain Proc Natl Acad Sci U S A 10.1073/pnas.1014335108 PMC3038698 21257908 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In adult mice (>4 months), sensory manipulation continues to modify spine dynamics, but less robustly than in younger animals, suggesting a more rigid neuronal circuit in adult animals [27].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [27] Zuo Y 2005 Long-term sensory deprivation prevents dendritic spine loss in primary somatosensory cortex Nature 436 261 265 16015331 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Interestingly, subsequent MD fails to increase spine formation, but selectively enlarges the spines formed during earlier MD, suggesting that new spines formed during the initial MD bear functional synapses and are reactivated during the second MD [30]”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [30] Hofer SB 2009 Experience leaves a lasting structural trace in cortical circuits Nature 457 313 317 19005470 PMC6485433 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“When binocular vision is restored, spine formation returns to the baseline. However, spine density remains elevated and many of the new spines formed during MD persist [30].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [30] Hofer SB 2009 Experience leaves a lasting structural trace in cortical circuits Nature 457 313 317 19005470 PMC6485433 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“During early postnatal development in rats, trimming all whiskers unilaterally decreases both spine and filopodium motility in the contralateral barrel cortex during a brief time window (P11–13), but has no effect on their density, length or shape [17].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [17] Lendvai B 2000 Experience-dependent plasticity of dendritic spines in the developing rat barrel cortex in vivo Nature 404 876 881 10786794 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“This rapid spinogenesis is followed by enhanced spine elimination, resulting in a similar overall spine density to that observed in control mice.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [37] Xu T 2009 Rapid formation and selective stabilization of synapses for enduring motor memories Nature 462 915 919 19946267 PMC2844762 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Furthermore, subsequent training of pre-trained mice with a novel motor skill continues to induce a robust spinogenesis in the adult motor cortex, indicating that different motor skills are likely encoded by different subpopulations of synapses in the motor cortex [37]”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [37] Xu T 2009 Rapid formation and selective stabilization of synapses for enduring motor memories Nature 462 915 919 19946267 PMC2844762 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Using a lentivirus expressing EGFP that was intracranially injected into the HVC nucleus, this study demonstrated that spine dynamics of HVC neurons decreased with age, and song learning around P60 triggered rapid dendritic spine stabilization of HVC neurons [48].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [48] Roberts TF 2010 Rapid spine stabilization and synaptic enhancement at the onset of behavioural learning Nature 463 948 952 20164928 PMC2918377 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In adults, motor learning increases spine turnover in naïve mice, but not in mice that have been trained with the same task in adolescence (pre-trained mice) [37], suggesting that the circuit required for such a task is established during adolescent training and maintained into adulthood.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [37] Xu T 2009 Rapid formation and selective stabilization of synapses for enduring motor memories Nature 462 915 919 19946267 PMC2844762 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 addition, stabilized new spines outlast experiences per se and may serve as structural traces for earlier memories, therefore preparing the brain for quicker adaptation to similar experiences in the future [30, 37].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [30] Hofer SB 2009 Experience leaves a lasting structural trace in cortical circuits Nature 457 313 317 19005470 PMC6485433 source
- Not checked yetcites [37] Xu T 2009 Rapid formation and selective stabilization of synapses for enduring motor memories Nature 462 915 919 19946267 PMC2844762 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Interestingly, a higher degree of spine turnover before song learning was found to correlate with a greater capacity for subsequent song imitation, suggesting that structural dynamics in sensorimotor circuits may greatly contribute to behavioral outcomes [48]”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [48] Roberts TF 2010 Rapid spine stabilization and synaptic enhancement at the onset of behavioural learning Nature 463 948 952 20164928 PMC2918377 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Live imaging of interneuron dendritic arbors in young adult mice (older than 6 weeks) demonstrated that, unlike stable dendritic branches observed in pyramidal neurons, dendritic branches of inhibitory interneurons in the superficial layers of the cortex are very dynamic [57]”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of inhibitory interneurons
What the sources say
- Not checked yetcites [57] Lee WC 2006 Dynamic remodeling of dendritic arbors in GABAergic interneurons of adult visual cortex PLoS Biol 4 e29 16366735 PMC1318477 source
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Furthermore, learning-induced spine formation occurs at the expense of spines that exist before learning [37], suggesting that homeostatic regulation could play an important role in maintaining stable spine density in the adult brain.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of excitatory pyramidal neurons > Experience-dependent plasticity
What the sources say
- Not checked yetcites [37] Xu T 2009 Rapid formation and selective stabilization of synapses for enduring motor memories Nature 462 915 919 19946267 PMC2844762 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Cajal-Retzius axons grow slowly and follow tortuous paths, while thalamocortical axons grow quickly and straight [60].”
§ Experience-dependent Structural Plasticity in the Cortex > Axonal plasticity
What the sources say
- Not checked yetcites [60] Portera-Cailliau C 2005 Diverse modes of axon elaboration in the developing neocortex PLoS Biol 3 e272 16026180 PMC1180514 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
“At this age, both axon types favor an overall growth in the superficial cortical layers, with slightly more terminal extension than retraction [60].”
§ Experience-dependent Structural Plasticity in the Cortex > Axonal plasticity
What the sources say
- Not checked yetcites [60] Portera-Cailliau C 2005 Diverse modes of axon elaboration in the developing neocortex PLoS Biol 3 e272 16026180 PMC1180514 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This is on the same order of dendritic spine turnover observed in L5 pyramidal neurons during sensory manipulation and motor learning [30, 37, 38], suggesting comparable degrees of structural remodeling of excitatory and inhibitory synapses in the adult cortex.”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of inhibitory interneurons
What the sources say
- Not checked yetcites [30] Hofer SB 2009 Experience leaves a lasting structural trace in cortical circuits Nature 457 313 317 19005470 PMC6485433 source
- Not checked yetcites [37] Xu T 2009 Rapid formation and selective stabilization of synapses for enduring motor memories Nature 462 915 919 19946267 PMC2844762 source
- Not checked yetcites [38] Yang G 2009 Stably maintained dendritic spines are associated with lifelong memories Nature 462 920 924 19946265 PMC4724802 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The distribution of dynamic branches and the timeline of remodeling were also found to be laminar dependent [10].”
§ Experience-dependent Structural Plasticity in the Cortex > Dendritic plasticity of inhibitory interneurons
What the sources say
- Not checked yetcites [10] Chen JL Nedivi E 2010 Neuronal structural remodeling: is it all about access? Curr Opin Neurobiol 20 557 562 20621466 PMC2946477 source
Strength:plain· not yet calibratedCausal:correlational· 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
“In summary, cortical axons undergo rapid and large-scale rearrangements both during development and in response to injuries.”
§ Experience-dependent Structural Plasticity in the Cortex > Axonal plasticity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In contrast, axons from mouse cortical L6 neurons contain a high density of small terminaux boutons, which are highly dynamic with ~60% turnover during the same period [59].”
§ Experience-dependent Structural Plasticity in the Cortex > Axonal plasticity
What the sources say
- Not checked yetcites [59] De Paola V 2006 Cell type-specific structural plasticity of axonal branches and boutons in the adult neocortex Neuron 49 861 875 16543134 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
“Thalamocortical axons contain large terminaux boutons and en passant boutons, which are mostly stable with 85% boutons persisting over a month [59].”
§ Experience-dependent Structural Plasticity in the Cortex > Axonal plasticity
What the sources say
- Not checked yetcites [59] De Paola V 2006 Cell type-specific structural plasticity of axonal branches and boutons in the adult neocortex Neuron 49 861 875 16543134 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ 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 the case of dendritic spines, evidence from classic electron microscopy (EM) studies has demonstrated that spine volume correlates with the size of the postsynaptic density and the number of presynaptic vesicles (see reviews [23, 64]), suggesting that larger spines have stronger synapses.”
§ Experience-dependent Structural Plasticity in the Cortex > Structural plasticity and functional synapses
What the sources say
- Not checked yetcites [23] Bourne JN Harris KM 2008 Balancing structure and function at hippocampal dendritic spines Annu Rev Neurosci 31 47 67 18284372 PMC2561948 source
- Not checked yetcites [64] Arellano JI 2007 Ultrastructure of dendritic spines: correlation between synaptic and spine morphologies Front Neurosci 1 131 143 18982124 PMC2518053 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
“In adults, despite the global stability of axonal and dendritic stability, a small subset of synaptic structures have been observed to turn over rapidly.”
§ Experience-dependent Structural Plasticity in the Cortex > Concluding remarks
Load-bearingStrength:plain· not yet calibratedTests✓ 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
“Recent developments in high-throughput, automated sectioning and imaging overcome this impasse and potentially make ultrastructural analysis of imaged tissues routine [86, 87].”
§ Experience-dependent Structural Plasticity in the Cortex > Concluding remarks
What the sources say
- Not checked yetcites [86] Knott GW 2009 A protocol for preparing GFP-labeled neurons previously imaged in vivo and in slice preparations for light and electron microscopic analysis Nat Protoc 4 1145 1156 19617886 source
- Not checked yetcites [87] Knott G 2008 Serial section scanning electron microscopy of adult brain tissue using focused ion beam milling J Neurosci 28 2959 2964 18353998 PMC6670719 source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The recent development of genetically encoded calcium indicators [89–91] and innovations in imaging neuronal activity in awake, head-fixed mice [92–96] have opened new opportunities toward this direction.”
§ Experience-dependent Structural Plasticity in the Cortex > Concluding remarks
What the sources say
- Not checked yetcites [89] Tian L 2009 Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators Nat Methods 6 875 881 19898485 PMC2858873 source
- Not checked yetcites [90] Mank M 2008 A genetically encoded calcium indicator for chronic in vivo two-photon imaging Nat Methods 5 805 811 19160515 PMC7618336 source
- Not checked yetcites [91] Wallace DJ 2008 Single-spike detection in vitro and in vivo with a genetic Ca2+ sensor Nat Methods 5 797 804 19160514 source
- Not checked yetcites [92] Dombeck DA 2007 Imaging large-scale neural activity with cellular resolution in awake, mobile mice Neuron 56 43 57 17920014 PMC2268027 source
- Not checked yetcites [93] Andermann ML 2010 Chronic cellular imaging of mouse visual cortex during operant behavior and passive viewing Front Cell Neurosci 4 3 20407583 PMC2854571
- Not checked yetcites [94] Niell CM Stryker MP 2010 Modulation of visual responses by behavioral state in mouse visual cortex Neuron 65 472 479 20188652 PMC3184003 source
- Not checked yetcites [95] Komiyama T 2010 Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice Nature 464 1182 1186 20376005 source
- Not checked yetcites [96] Dombeck DA 2010 Functional imaging of hippocampal place cells at cellular resolution during virtual navigation Nat Neurosci 13 1433 1440 20890294 PMC2967725 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.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“While most cell-type-specific lines label the whole population of target cell types and are useful for molecular examination and manipulation, imaging them is challenging due to the high density of neurons within the cortex and/or dim expression of the EGFP reporter gene.”
§ Experience-dependent Structural Plasticity in the Cortex > Concluding remarks
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The Gene Expression Nervous System Atlas (GENSAT) project has generated hundreds of mouse lines that express EGFP under different bacterial artificial chromosomes (BACs) [83, 84].”
§ Experience-dependent Structural Plasticity in the Cortex > Concluding remarks
What the sources say
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
“A recent screen using these lines has identified several mouse lines selectively labeling inhibitory neurons in unique retinal circuits [85].”
§ Experience-dependent Structural Plasticity in the Cortex > Concluding remarks
What the sources say
- Not checked yetcites [85] Siegert S 2009 Genetic address book for retinal cell types Nat Neurosci 12 1197 1204 19648912 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
“For instance, the functional imaging of individual hippocampal pyramidal neurons during spatial navigation in behaving mice has recently been described [96].”
§ Experience-dependent Structural Plasticity in the Cortex > Concluding remarks
What the sources say
- Not checked yetcites [96] Dombeck DA 2010 Functional imaging of hippocampal place cells at cellular resolution during virtual navigation Nat Neurosci 13 1433 1440 20890294 PMC2967725 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 paper relies on this without support.
Synapses are located along the dendrites of aspiny interneurons.
“Given the fact that synapses are located along dendrites of aspiny interneurons”
The paper relies on this without support.
In vivo structural imaging is currently limited to superficial cortical layers (mostly L1 and L2) due to limitations of current two-photon laser scanning systems.
“Due to the limitation of current two-photon laser scanning systems, in vivo structural imaging is currently limited to superficial cortical layers (mostly L1 and L2).”
The paper relies on this without support.
Different cortical layers have different connectivity.
“Given the different connectivity between the different cortical layers, it may not be appropriate to simply extend the present understanding obtained from superficial layers to deeper layers of the cortex.”
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?
In the citing paper
“These experience-dependent mechanisms regulate the sensitivity and plasticity of the central nervous system and act at several biological levels (likely partly in parallel with each other): i) cellular changes such as neurogenesis, pruning and sprouting of synapses, myelination of axons and alterations to the number of dendritic spines9, 10, ii) subcellular changes, such as alterations to the”
From Resilience in mental health: linking psychological and neurobiological perspectives. (2013) · cites this paper as [10]
In the citing paper
“Furthermore, their morphology and dynamics vary among neuronal types, across developmental stages, and in response to experiences such as sensory stimulation and deprivation, environmental enrichment, and various paradigms of learning (Holtmaat and Svoboda, 2009; Fu and Zuo, 2011).”
From Spatiotemporal dynamics of dendritic spines in the living brain (2014) · cites this paper as Fu and Zuo, 2011
Citations
Cites
James, W. (1891) · Personality Culture Society · doi:10.1037/11059-000 · Cited by 25,876
Two-photon laser scanning fluorescence microscopy
Denk, W., Strickler, J. H., & Webb, W. W. (1990) · Science · doi:10.1126/science.2321027 · Cited by 9,488
Imaging Neuronal Subsets in Transgenic Mice Expressing Multiple Spectral Variants of GFP
Feng, G., Mellor, R. H., Bernstein, M., Keller-Peck, C., Nguyen, Q. T., Wallace, M., Nerbonne, J. M., Lichtman, J. W., & Sanes, J. R. (2000) · Neuron · doi:10.1016/s0896-6273(00)00084-2 · Cited by 3,042
The period of susceptibility to the physiological effects of unilateral eye closure in kittens
Hubel, D. H., & Wiesel, T. N. (1970) · The Journal of Physiology · doi:10.1113/jphysiol.1970.sp009022 · Cited by 3,030
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
SINGLE-CELL RESPONSES IN STRIATE CORTEX OF KITTENS DEPRIVED OF VISION IN ONE EYE
Wiesel, T. N., & Hubel, D. H. (1963) · Journal of Neurophysiology · doi:10.1152/jn.1963.26.6.1003 · Cited by 2,628
A gene expression atlas of the central nervous system based on bacterial artificial chromosomes
Gong, S., Zheng, C., Doughty, M. L., Losos, K., Didkovsky, N., Schambra, U. B., Nowak, N. J., Joyner, A., Leblanc, G., Hatten, M. E., et al. (2003) · Nature · doi:10.1038/nature02033 · Cited by 2,108
Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators
Tian, L., Hires, S. A., Mao, T., Huber, D., Chiappe, M. E., Chalasani, S. H., Petreanu, L., Akerboom, J., McKinney, S. A., Schreiter, E. R., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1398 · Cited by 1,967
Experience-dependent structural synaptic plasticity in the mammalian brain
Holtmaat, A., & Svoboda, K. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2699 · Cited by 1,934
Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
Trachtenberg, J. T., Chen, B. E., Knott, G. W., Feng, G., Sanes, J. R., Welker, E., & Svoboda, K. (2002) · Nature · doi:10.1038/nature01273 · Cited by 1,927
Flagged first, then by citations
Research works printed but not linked: 1
- James, 1890, Vol. 1
Cited by
Sorted by citations
Items 201–300 of 322
Sykes, M., Makowiecki, K., & Rodger, J. (2013) · F1000Research · doi:10.12688/f1000research.2-180.v2 · Cited by 11
Fluorescent transgenic mouse models for whole-brain imaging in health and disease
Arias, A., Manubens-Gil, L., & Dierssen, M. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.958222 · Cited by 9
Super-resolution imaging of fast morphological dynamics of neurons in behaving animals
Zhang, Y., Bai, L., Wang, X., Zhao, Y., Zhang, T., Ye, L., Du, X.-F., Zhang, Z., Du, J., & Wang, K. (2024) · Nature Methods · doi:10.1038/s41592-024-02535-9 · Cited by 9
Lisle, J., Buma, K., Smith, J. R., Richter, M., Satpute, P., & Pineda, R. G. (2022) · Frontiers in Pediatrics · doi:10.3389/fped.2022.884329 · Cited by 8
Accurate Connection Strength Estimation Based on Variational Bayes for Detecting Synaptic Plasticity
Isomura, T., Ogawa, Y., Kotani, K., & Jimbo, Y. (2015) · Neural Computation · doi:10.1162/neco_a_00721 · Cited by 8
Neurogenesis-mediated circuit remodeling reduces engram reinstatement and promotes forgettingPreprint
Guskjolen, A. J., Dhaliwal, J., de la Parra, J., Epp, J. R., Ko, S. Y., Chahley, E. R., de Snoo, M. L., Solari, M., Panesar, P., Snyder, J. S., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.10.561722 · Cited by 11
Altered brain functional network connectivity and topology in type 2 diabetes mellitus
Ni, W., Liu, W. V., Li, M., Wei, S., Xu, X., Huang, S., Zhu, L., Wang, J., Wen, F., & Zhou, H. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1472010 · Cited by 10
Mechanisms of brain overgrowth in autism spectrum disorder with macrocephaly
Currey, L., Harvey, T. J., Pelenyi, A., Piper, M., & Thor, S. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1586550 · Cited by 8
Clustering of synaptic engram: Functional and structural basis of memory
Lee, C., & Kaang, B. (2024) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2024.107993 · Cited by 6
Quantifying barcodes of dendritic spines using entropy-based metrics
Viggiano, D., Srivastava, D. P., Speranza, L., Perrone‐Capano, C., Bellenchi, G. C., di Porzio, U., & Buckley, N. J. (2015) · Scientific Reports · doi:10.1038/srep14622 · Cited by 7
Warling, A., Uchida, R., Shin, H., Dodelson, C., Garcia, M. E., Shea‐Shumsky, N. B., Svirsky, S. E., Pothast, M. J., Kelley, H., Schumann, C. M., et al. (2020) · The Journal of Comparative Neurology · doi:10.1002/cne.25022 · Cited by 7
Li, C., Wu, X., & Li, W. (2022) · Peptides · doi:10.1016/j.peptides.2022.170860 · Cited by 7
Bridging brains: exploring neurosexism and gendered stereotypes in a mindsport
Punch, S., Snellgrove, M., Graham, E., McPherson, C., & Cleary, J. (2022) · Leisure/Loisir · doi:10.1080/14927713.2022.2160787 · Cited by 8
The Mind-Brain Relationship as a Mathematical Problem
Ascoli, G. A. (2013) · ISRN Neuroscience · doi:10.1155/2013/261364 · Cited by 7
Optimization of Artificial Neural Network Architecture Using Neuroplasticity
Wagarachchi, M., & Karunananda, A. S. (2017) · Cited by 7
Kula, J., Guguła, A., Błasiak, A., Bobula, B., Danielewicz, J., Kania, A., Tylko, G., & Hess, G. (2017) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-017-2036-5 · Cited by 7
Xie, M., Wang, T., Feng, J., Ma, D., Feng, L., & Hao, Y. (2025) · Current Neuropharmacology · doi:10.2174/1570159x23666250225091729 · Cited by 7
Activity-dependent synthesis of Emerin gates neuronal plasticity by regulating proteostasis
Xie, Y., Wang, R., McClatchy, D. B., Ma, Y., Diedrich, J. K., Sánchez-Alavez, M., Petrascheck, M., Yates, J. R., & Cline, H. T. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115439 · Cited by 5
What neuroscience can tell AI about learning in continuously changing environments
Durstewitz, D., Averbeck, B. B., & Koppe, G. (2025) · Nature Machine Intelligence · doi:10.1038/s42256-025-01146-z · Cited by 7
Zheng, H. J. V., Meagher, J. P., Xu, D., Patel, Y., O’Connor, D. H., & Kwon, H. (2021) · eNeuro · doi:10.1523/eneuro.0309-20.2021 · Cited by 6
Multisensory stimulation for promoting development and preventing morbidity in preterm infants
Wróblewska‐Seniuk, K., Lenells, M., Prescott, M. G., Fiander, M., Soll, R. F., Bruschettini, M., & Neonatal, S. B. C. S. A. C. (2024) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd016073 · Cited by 10
A Neural Mechanism for Background Information-Gated Learning Based on Axonal-Dendritic Overlaps
Mainetti, M., & Ascoli, G. A. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004155 · Cited by 5
Zhang, L., Huang, Y., & Hu, B. (2016) · Scientific Reports · doi:10.1038/srep35009 · Cited by 5
Teng, S.-F., Lee, M. T., Lee, L., Hwang, L.-L., Chen, C.-P., Lee, H., Chen, C., & Chiou, L. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1687060 · Cited by 5
Sykes, M., Makowiecki, K., & Rodger, J. (2013) · F1000Research · doi:10.12688/f1000research.2-180.v1 · Cited by 5
Individual differences in frontoparietal plasticity in humans
Boroshok, A. L., Park, A. T., Fotiadis, P., Velasquez, G. H., Tooley, U. A., Simon, K. R., Forde, J. C. P., Reyes, L. M. D., Tisdall, M. D., Bassett, D. S., et al. (2022) · npj Science of Learning · doi:10.1038/s41539-022-00130-1 · Cited by 5
Alterations in Preterm Brain Development: Relation to Developmental Assessment and Prediction
Aylward, G. P. (2023) · American Journal of Perinatology · doi:10.1055/s-0043-1768703 · Cited by 5
Canciani, A., Capitanio, C., Stanga, S., Faravelli, S., Scietti, L., Mapelli, L., Soda, T., D'Angelo, E. U., Kienlen‐Campard, P., & Forneris, F. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-03056-2 · Cited by 4
Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models
Zhang, M., Luo, X., Wu, J., Belatreche, A., Cai, S., Yang, Y., & Li, H. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2025.3543673 · Cited by 10
Wang, M., Jin, B., Xu, J., & Wang, C. (2025) · Nutrients · doi:10.3390/nu17162679 · Cited by 4
CB1 Cannabinoid Receptor Expression in the Barrel Field Region Is Associated with Mouse Learning
Siucińska, E., Brutkowski, W., & Bernaś, T. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.7b00500 · Cited by 4
Spinal Alterations of Reil Insula in Alzheimer’s Disease
Petrides, F., Mavroudis, I. A., Spilioti, M. G., Chatzinikolaou, F. G., Costa, V., & Balogiannis, S. (2017) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317517703476 · Cited by 4
Functional Complexity of Engineered Neural Networks Self‐Organized on Structured 3D Interfaces
Winter‐Hjelm, N., Klausen, K. G., Normann, A. S., Sandvig, A., Sandvig, I., & Sikorski, P. (2025) · Small · doi:10.1002/smll.202410150 · Cited by 3
Sudhakaran, G., Chakraborty, S., Kumar, A., Bharti, S., Csaba, V., Arasu, M. V., Namasivayam, S. K. R., & Arockiaraj, J. (2025) · Current Microbiology · doi:10.1007/s00284-025-04379-8 · Cited by 5
G6PD deficiency in brain induces schizophrenia-like behaviors and synaptic dysfunction
Wang, Y.-B., Xie, P.-X., Mei, W.-Y., Yong, Y.-Y., Yu, X., Hu, L., Chen, J., Sun, Y., Zhao, X., Song, N., et al. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03631-w · Cited by 3
Bissen, D., Cary, B. A., Zhang, A., Wen, W., Sailor, K. A., Hooser, S. D. V., & Turrigiano, G. G. (2026) · Neuron · doi:10.1016/j.neuron.2026.06.016 · Cited by 15
On the relation of injury to pain—an infant perspective*
Fitzgerald, M. (2024) · Pain · doi:10.1097/j.pain.0000000000003366 · Cited by 3
Theoretical framework for learning through structural plasticity
Tiddia, G., Sergi, L., & Golosio, B. (2024) · Physical review. E · doi:10.1103/physreve.110.044311 · Cited by 3
King, E. M., Edwards, L. L., & Borich, M. R. (2022) · Physiological Reports · doi:10.14814/phy2.15359 · Cited by 4
Coherent waves of myelin plasticity during motor-skill learningPreprint
Azzarito, M., Ziegler, G., Huber, E., Grabher, P., Callaghan, M. F., Thompson, A. J., Friston, K. J., Weiskopf, N., Killeen, T., & Freund, P. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.13.439402 · Cited by 3
Liu, W., Wu, Y., Zhou, H., Qiu, X., Niu, F., Liao, D.-D., Cao, J., & Yan, J. (2026) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2026.105374 · Cited by 2
Early visual experience elicits cellular and functional plasticity in the retina and alters behavior
Reynolds, P., Marchi, D., Ling, Y. T., Slangewal, K., Capelle, M. Q., Chalakova, Z., Bahl, A., & Hindges, R. (2026) · Neuron · doi:10.1016/j.neuron.2026.05.001 · Cited by 9
Witbeck, C., Montina, T., & Metz, G. A. S. (2026) · Brain Sciences · doi:10.3390/brainsci16070749 · Cited by 2
Dynamical multiscale models to formulate testable predictions of neuronal computational properties
Ascoli, G. A., & Ferrante, M. (2012) · Cited by 2
Xueyan, H., Qi, A., Chunming, S., Yu, Z. H., & Weng, W. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1357274 · Cited by 2
Virginia, D. F. (2021) · Archives in Neurology & Neuroscience · doi:10.33552/ann.2021.11.000775 · Cited by 7
In Vivo Imaging of Synapse Plasticity in the Mouse Motor Cortex
Zuo, Y., Yu, X., Tennant, K. A., & Jones, T. A. (2013) · Methods in molecular biology · doi:10.1007/978-1-62703-411-1_4 · Cited by 3
Self-citationAlmarode, J., & Daniel, D. B. (2018) · The Wiley Handbook of Teaching and Learning · doi:10.1002/9781118955901.ch7
Abbasi, A., Lassagne, H., Estebanez, L., Goueytes, D., Shulz, D. E., & Ego‐Stengel, V. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.12.873794 · Cited by 3
Persistent Increases of PKMM in Sensorimotor Cortex Maintain Procedural long-Term Memory StoragePreprint
Gao, P. P., Goodman, J. H., Sacktor, T. C., & Francis, J. T. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3188398 · Cited by 2
Li, J.-M., Yang, F.-H., Chao, M., & Tseng, C. (2022) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2022.103755 · Cited by 2
Lu, W., Huang, X., Shen, D., Wang, K., Wang, J., Diao, Z., & Qiu, S. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1491377 · Cited by 1
Disrupted theta synchronization and synaptic connectivity in the visual cortex of Fmr1 KO mice
Cheng, X., Nareddula, S., Gao, H.-C., Chen, Y., Xiao, T., Nadew, Y. Y., Xu, F., Edens, P. A., Saldarriaga, V., Hu, X., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65665-4 · Cited by 2
Goel, A., Razak, K. A., Chubykin, A. A., & Antoine, M. W. (2025) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-025-09634-4 · Cited by 1
Fang, S., Wang, B., Zhang, S.-L., Wu, H., Guo, W.-W., Ren, L.-L., Wang, Y., & Yang, S. (2026) · Neuroscience Letters · doi:10.1016/j.neulet.2026.138524 · Cited by 1
Insights into Visual Cortex Plasticity: Interaction Between Genes and Sensory Experience
Fernando, J. B., & Caleo, M. (2012) · InTech eBooks · doi:10.5772/50721 · Cited by 1
Inverse Synaptic Tagging by Arc
Okuno, H., Araki, A., & Minatohara, K. (2015) · Springer eBooks · doi:10.1007/978-3-319-24364-1_6 · Cited by 1
Long-term memory stabilized by noise-induced rehearsal
Wei, Y., & Koulakov, A. A. (2013) · BMC Neuroscience · doi:10.1186/1471-2202-14-s1-p220 · Cited by 1
Brain, environment, and development: A synthesis and a conceptual model
Aylward, G. P. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817754-9.00001-5 · Cited by 1
Progress in activity-dependent structural plasticity of neural circuits in cortex
Rao, X., Xu, H., & Xu, F. (2013) · Zoological Research · doi:10.3724/sp.j.1141.2012.05527 · Cited by 1
Rarinca, V., Plavan, G. I., Strungaru, Ș.-A., Ciobica, A. S., Timofte, D. V., & Nicoară, M. (2020) · Bulletin of Integrative Psychiatry · doi:10.36219/bpi.2020.2.08 · Cited by 1
Fourneau, J., Canu, M., & Dupont, E. (2021) · Journal of Molecular Neuroscience · doi:10.1007/s12031-021-01839-1 · Cited by 1
Porceddu, R., Podda, C., Mulas, G., Palmas, F., Picci, L., Scano, C., Spiga, S., & Sabatini, A. (2022) · Biology · doi:10.3390/biology11081244 · Cited by 2
Iwuh, D. (2023) · Neurology & Neurotherapy Open Access Journal · doi:10.23880/nnoaj-16000182 · Cited by 1
Brain-Gut Interactions in Irritable Bowel Syndrome (IBS)
Grinsvall, C. (2018) · Gothenburg University Publications Electronic Archive (Gothenburg University) · Cited by 1
Grossman, Y. S., Fillinger, C., Manganaro, A., Voren, G., Waldman, R. N., Zou, T., Janssen, W. G. M., Kenny, P. J., & Dumitriu, D. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.11.147231 · Cited by 1
Socodato, R., Almeida, T. O., Portugal, C. C., Santos, E. C. D. S., Tedim-Moreira, J., Canedo, T., Baptista, F. I., Magalhães, A., Ambrósio, A. F., Brakebusch, C., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.18.464802 · Cited by 1
Cheng, X., Nareddula, S., Gao, H.-C., Chen, Y., Xiao, T., Nadew, Y. Y., Xu, F., Edens, P. A., Quinn, C. J., Kimbrough, A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.23.601989 · Cited by 1
Zou, L., Moreni, G., Pennartz, C. M. A., & Mejías, J. F. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.05.621826 · Cited by 1
Klimmt, H., Kappel, D., Ulivi, A. F., Argunşah, A. Ö., Murthy, B., Somatakis, S., Huettl, R.-E., Remy, S., & Attardo, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.04.641429 · Cited by 1
A window on the ageing brain : Imaging synapses and their dynamics in vivo
Grillo, F. W. (2013) · doi:10.25560/14407
Neuro analysis: a neuro scientific psychiatry. Why? how? and when?
Peled, A. (2013) · OA Medical Hypothesis · doi:10.13172/2053-0781-1-1-476
Bani-Ahmed, A. (2013) · KU ScholarWorks (The University of Kansas)
DUAL ROLE OF SNAP-25 AT PRE- AND POST-SYNAPTIC LEVEL DURING DEVELOPMENT
FOSSATI, G. (2014) · Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) · doi:10.13130/fossati-giuliana_phd2014-02-19
The Effects of Acute Running Induced Neuronal Activation on Cerebral GLUT1 and Vascular Plasticity
Liang, J. (2011) · uO Research (University of Ottawa) · doi:10.20381/ruor-5047
A transcriptional program remodels GABAergic synapses in C. elegans
Petersen, S. C. (2011)
Li, Q., & Wang, Z. (2016) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei.2016.7852787
Butz‐Ostendorf, M., & van Ooyen, A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803784-3.00007-x
Neurochemical Aspects of β-Amyloid Cascade Hypothesis for Alzheimer’s Disease
Farooqui, A. A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809937-7.00001-x · Cited by 1
Pre- and Postsynaptic Assembly and Maturation
Sigrist, S. J., & Wichmann, C. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397266-8.00008-9
Examining neuronal connectivity and its role in learning and memory
Gala, R. (2017) · Digital Repository Service (Northeastern University) · doi:10.17760/d20253061
Study of a kinesin adaptor in axonal transport and synapse formation
Dehaghi, T. K. (2019) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-7310
Novel Optogenetic Approach Reveals a Function of cGMP in Synaptic Plasticity and Memory
Borovac, J. (2019) · TSpace (University of Toronto)
Rapid Modulation of Spinogenesis by Estradiol in the Neocortex
Srivastava, D. P., Sellers, K. J., & Evans, P. D. (2020) · Oxford University Press eBooks · doi:10.1093/oso/9780190645908.003.0005
NT-mini, a recombinant tool for the study of Neurotrypsin functionalityPreprint
Canciani, A., Capitanio, C., Stanga, S., Faravelli, S., Kienlen‐Campard, P., & Forneris, F. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.01.322396
Molecular and structural correlates of ocular dominance plasticity in mice
Yusifov, R. (2020) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-8294
Myles, J. (2012) · Sussex Research Online (University of Sussex)
van Cranenburgh, B. (2019) · Bohn Stafleu van Loghum eBooks · doi:10.1007/978-90-368-2318-0_3
(2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817754-9.09990-6
Motor Cortex Plasticity During Functional Recovery Following Brain Damage
Higo, N. (2022) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2022.p0700
Short-Term Modulation of Online Monocular Visuomotor Function
Oancea, G., Manzone, D. M., & Tremblay, L. (2024) · Journal of Motor Behavior · doi:10.1080/00222895.2024.2306322
Functional Complexity of Engineered Neural Networks Self-Organized on Novel 3D InterfacesPreprint
Winter‐Hjelm, N., Klausen, K. G., Normann, A. S., Sandvig, A., Sandvig, I., & Sikorski, P. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.01.596939
Skill learning in the developing brain: Interactions of control and representation systems
Fandakova, Y., & Wenger, E. (2024) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2024.07.002 · Cited by 2
Roles for the MEF2 Transcription Factors in Synapse and Circuit Development and Plasticity
Zhang, Z., & Huber, K. M. (2024) · Springer eBooks · doi:10.1007/978-3-031-68550-7_11
How biological synapses self-assemble gradient learning
Liao, Q., Ziyin, L., Gan, Y., Cheung, B., Harnett, M. T., & Poggio, T. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2606245123 · Cited by 4
Fontana, C., Marasca, F., Provitera, L., Mancinelli, S., Pesenti, N., Sinha, S., Passera, S., Abrignani, S., Mosca, F., Lodato, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13719589
Fontana, C., Marasca, F., Provitera, L., Mancinelli, S., Pesenti, N., Sinha, S., Passera, S., Abrignani, S., Mosca, F., Lodato, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13719592
Metadata
- Authors
- Fu, M., & Zuo, Y.
- Affiliations
- University of California, Santa Cruz (US)
- Corresponding author
- Zuo, Yi
- ORCID
- Zuo, Yi
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 34
- Issue
- 4
- Pages
- 177-187
- ISSN
- 0166-2236 (ISSN-L)
- PMC
- PMC3073830
- OpenAlex
- W2105232223
- Cited by
- 322
- References
- 97
- Citations by year
- 2026: 21 · 2025: 16 · 2024: 15 · 2023: 17 · 2022: 18 · 2021: 29 · 2020: 18 · 2019: 17 · 2018: 21 · 2017: 24 · 2016: 13 · 2015: 26 · 2014: 25 · 2013: 32 · 2012: 23
- FWCI
- 2.65
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Trends in Neurosciences (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Ellison Medical Foundation
- National Institute on Aging (R01AG031871)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- experience-dependent plasticity, structural synaptic plasticity, cortical synapses, synaptic pruning, synaptogenesis, two-photon imaging, time-lapse imaging, sensorimotor learning, memory consolidation, cortical layers, neuronal cell types, circuit plasticity
- MeSH terms
- Animals, Cerebral Cortex, Dendrites, Learning, Memory, Neuronal Plasticity, Synapses, Time-Lapse Imaging
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 2026-10-07, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-07 (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