The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Locally dynamic synaptic learning rules in pyramidal neuron dendrites
Open accessAbstract
Long-term potentiation (LTP) of synaptic transmission underlies aspects of learning and memory. LTP is input-specific at the level of individual synapses, but neural network models predict interactions between plasticity at nearby synapses. Here we show in mouse hippocampal pyramidal cells that LTP at individual synapses reduces the threshold for potentiation at neighbouring synapses. After input-specific LTP induction by two-photon glutamate uncaging or by synaptic stimulation, subthreshold stimuli, which by themselves were too weak to trigger LTP, caused robust LTP and spine enlargement at neighbouring spines. Furthermore, LTP induction broadened the presynaptic-postsynaptic spike interval for spike-timing-dependent LTP within a dendritic neighbourhood. The reduction in the threshold for LTP induction lasted approximately 10 min and spread over approximately 10 microm of dendrite. These local interactions between neighbouring synapses support clustered plasticity models of memory storage and could allow for the binding of behaviourally linked information on the same dendritic branch.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In addition, Rho-Rock and Ras-ERK signaling pathways lower the threshold for LTP in neighboring spines (Zhu et al., 2002; Harvey and Svoboda, 2007; Harvey et al., 2008; Lee et al., 2009).”
From Barriers in the brain: resolving dendritic spine morphology and compartmentalization (2014) · cites this paper as Harvey and Svoboda, 2007
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These synapses contain AMPARs, but LTP-inducing stimuli cause a rapid addition of AMPARs to the synapse (246–250).”
From Synaptic memory and CaMKII (2023) · cites this paper as [246]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Experiments using this approach to induce NMDAR-dependent LTP have shown that LTP can be induced at a single synapse without causing postsynaptic potentiation or depression of neighboring synapses (Matsuzaki et al. 2004;Harvey and Svoboda 2007; but see Engert and Bonhoeffer 1997).”
From NMDA receptor-dependent long-term potentiation and long-term depression (LTP/LTD). (2012) · cites this paper as Harvey and Svoboda 2007
The cited source says what the claim attributes to it.
In the citing paper
“Insertion of additional receptors therefore is likely to affect the ultrastructure of the synapse, and in fact, spines associated with synapses that underwent LTP enlarge (Matsuzaki et al. 2004;Harvey and Svoboda 2007;Holtmaat and Svoboda 2009;Kasai et al. 2010).”
From NMDA receptor-dependent long-term potentiation and long-term depression (LTP/LTD). (2012) · cites this paper as Harvey and Svoboda 2007
The cited source says what the claim attributes to it.
In the citing paper
“Furthermore, two-photon glutamate uncaging experiments on single spines indicate that synapses that already express functional AMPARs can be further enhanced by inducing LTP (246–248).”
From Synaptic memory and CaMKII (2023) · cites this paper as [246]
In the citing paper
“Uncaging glutamate near the tip of a single dendritic spine [single spine glutamate uncaging (SSGU)] results in a coordinated increase in spine volume and enhanced synaptic function lasting for more than an hour (20, 21).”
From Synaptic evidence for the efficacy of spaced learning (2012) · cites this paper as [20]
In the citing paper
“Recent studies have shown that induction of plasticity at a single spine transiently lowers the plasticity threshold at adjacent spines (20).”
From Synaptic evidence for the efficacy of spaced learning (2012) · cites this paper as [20]
In the citing paper
“This form of plasticity shares many properties with Schaffer collateral LTP, including dependence on N-methyl-d-aspartate receptors (NMDARs), Rho GTPase signaling, Ca2+/calmodulin-dependent protein kinase II (CaMKII) phosphorylation, F-actin polymerization and synaptic AMPAR insertion (20–24).”
From Synaptic evidence for the efficacy of spaced learning (2012) · cites this paper as [20]
In the citing paper
“The low success rate in adults was unlikely related to technical issues because we used a strong induction protocol (20) that caused structural plasticity in >80% of young spines (Fig. 3C), a value in good agreement with previous studies (20, 21).”
From Synaptic evidence for the efficacy of spaced learning (2012) · cites this paper as [20]
In the citing paper
“Notably, uncaged glutamate is known from past work to produce robust, NMDAR-dependent excitatory responses at nearly all spines (20, 21) under the conditions used in our experiments.”
From Synaptic evidence for the efficacy of spaced learning (2012) · cites this paper as [20]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Bi, G.-Q., & Poo, M.-M. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-24-10464.1998 · Cited by 4,744
Malenka, R. C., & Bear, M. F. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.012 · Cited by 3,968
A simple method for organotypic cultures of nervous tissue
Stoppini, L., Buchs, P., & Muller, D. (1991) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(91)90128-m · Cited by 3,096
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
Homeostatic plasticity in the developing nervous system
Turrigiano, G. G., & Nelson, S. B. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1327 · Cited by 2,485
Structural basis of long-term potentiation in single dendritic spines
Matsuzaki, M., Honkura, N., Ellis-Davies, G. C. R., & Kasai, H. (2004) · Nature · doi:10.1038/nature02617 · Cited by 2,483
Metaplasticity: the plasticity of synaptic plasticity
Abraham, W. C., & Bear, M. F. (1996) · Trends in Neurosciences · doi:10.1016/s0166-2236(96)80018-x · Cited by 1,833
Synaptic tagging and long-term potentiation
Frey, U., & Morris, R. G. M. (1997) · Nature · doi:10.1038/385533a0 · Cited by 1,736 · cited 3×
“Previous studies have suggested that synaptic plasticity can be influenced by prior neural activity 6,7,11,12,41–43 .”
Matsuzaki, M., Ellis-Davies, G. C. R., Nemoto, T., Miyashita, Y., Iino, M., & Kasai, H. (2001) · Nature Neuroscience · doi:10.1038/nn736 · Cited by 1,563 · cited 1×
“1h), consistent with documented relationships between spine volume, postsynaptic density area and the number of AMPA ( a -amino-3-hydroxy-5-methyl-4- isoxazole propionic acid) receptors in the postsynaptic density 14,23,24 .”
Flagged first, then by citations
Research works printed but not linked: 1
- Pologruto, T. A. Imaging neural activity and [Ca2+] with genetically encoded calcium indicators and two-photon excitation laser scanning microscopy. PhD thesis, Harvard Univ. (2004)
Cited by
Sorted by citations
Items 601–622 of 622
Koek, L. A., Sanderson, T. M., Bond, G., Georgiou, J., Scholl, B., & Collingridge, G. L. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.16.682923
Long-termpotentiation and long-term depression
Thomas, G. M., & Huganir, R. L. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9780511995583.006
Dysfunctional synaptic competition at dendritic spines in Fragile X syndromePreprint
Cortés, Y. R., Panzarino, A. M., Royo, M. V. V., Shionoya, K., & Israely, I. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.25.708113
Altered striatal long-term potentiation in the eIF4E- TG ASD mouse modelPreprint
Aaltonen, A., Razquin, J., Oyrer, J., Criscuolo, C., Lieberman, O. J., Klann, E., Borgkvist, A., & Santini, E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.04.709616
Altered striatal long-term potentiation in the eIF4E-TG mouse model of autism spectrum disorder
Aaltonen, A., Razquin, J., Garton, D. R., Oyrer, J., Criscuolo, C., Lieberman, O. J., Klann, E., Borgkvist, A., & Santini, E. (2026) · iScience · doi:10.1016/j.isci.2026.117278
Bouamrane, L. (2015) · theses.fr (ABES) · doi:10.70675/00597159za953z4221z95b8z57a6c1d48c8e
Learning efficient signal representation in sparse spike-coding networks
Maraš, M. (2019) · theses.fr (ABES) · doi:10.70675/1c258a24z1787z4e9cz9823z848d8095638f
Contribution of the potassium / chloride cotransporter KCC2 to hippocampal rhythmopathy
Goutierre, M. (2018) · theses.fr (ABES) · doi:10.70675/0e53b3d1zc373z40d8za27dz4bca44dc7555
Digital Implementation of Neuromorphic systems using Emerging Memory devices
Hirtzlin, T. (2020) · theses.fr (ABES) · doi:10.70675/7c42d7b9z4001z4424z8a0az6c7cb2079ec8
Mechanical Properties of Septins and Their Role in Establishing Diffusion Barriers
Chauvin, B. (2022) · theses.fr (ABES) · doi:10.70675/3d3cb268z6531z496dz8ebcz9c81b8f85871
A novel synaptic compartmentalization failure framework for neurodegeneration
Panigrahi, B. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261449379
Turco, D. D., Paul, M. H., Rietsche, M., Schlaudraff, J., Kreuzer, A., Mittag, M., Drakew, A., Jedlička, P., Bas-Orth, C., Roeper, J., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-57346-z
Zamora-Ursulo, M. A., & Manjarrez, E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.25.734571 · Cited by 1
Spatial synaptic regularization stabilizes learning across biological and artificial neural networksPreprint
Haoxing, Z., Chen, Y., Zhao, P., Xiong, Z., Peng, H., Wu, F., & Zhang, R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.29.735142
Deep learning-assisted mapping of dendritic spines using sequential 2D two-photon calcium imaging
Cupolillo, D., Regio, V., Galleano, V., & Barberis, A. (2026) · iScience · doi:10.1016/j.isci.2026.117010
Tasciotti, S., Iascone, D. M., Chavlis, S., Hammond, L. A., Katz, Y., Losonczy, A., Polleux, F., & Poirazi, P. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117793 · Cited by 9
Diversity of Layer 3 Pyramidal Neuron Properties Across Areas of the Primate Neocortex
González‐Burgos, G., Benavides‐Piccione, R., Neef, A., Inoue, W., Muller, L., Jimenez-Sosa, M. S., Staiger, J. F., Medalla, M., & Luebke, J. I. (2026) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.08.015 · Cited by 3
Vadakkan, K. I. (2026) · Journal of Integrative Neuroscience · doi:10.31083/jin49226 · Cited by 1
Metadata
- Authors
- Harvey, C. D., & Svoboda, K.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Svoboda, Karel
- Venue
- Nature
- Published
- 2007-12
- Volume
- 450
- Issue
- 7173
- Pages
- 1195-1200
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3425382
- OpenAlex
- W2118069376
- Cited by
- 625
- References
- 53
- Citations by year
- 2026: 20 · 2025: 22 · 2024: 34 · 2023: 34 · 2022: 22 · 2021: 27 · 2020: 24 · 2019: 31 · 2018: 28 · 2017: 32 · 2016: 36 · 2015: 32 · 2014: 48 · 2013: 43 · 2012: 40
- FWCI
- 15.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- 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
- long-term potentiation, synaptic plasticity, dendritic plasticity, hippocampal pyramidal neurons, dendritic spines, spike-timing-dependent plasticity, synaptic interactions, glutamate uncaging, memory storage, information integration
- MeSH terms
- Animals, Dendrites, Learning, Models, Neurological, Synapses, Long-Term Potentiation, Pyramidal Cells, Glutamic Acid, Excitatory Postsynaptic Potentials, Mice, In Vitro Techniques
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.
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
