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 201–300 of 622
Capacity-Enhancing Synaptic Learning Rules in a Medial Temporal Lobe Online Learning Model
Wu, X., & Mel, B. W. (2009) · Neuron · doi:10.1016/j.neuron.2009.02.021 · Cited by 56
Dendritic Spines: The Stuff That Memories Are Made Of?
Hofer, S. B., & Bonhoeffer, T. (2010) · Current Biology · doi:10.1016/j.cub.2009.12.040 · Cited by 63
Intracellular Ca 2+ Release and Synaptic Plasticity: A Tale of Many Stores
Padamsey, Z., Foster, W. J., & Emptage, N. J. (2018) · The Neuroscientist · doi:10.1177/1073858418785334 · Cited by 56
Albarran, E., Raissi, A. J., Jáidar, O., Shatz, C. J., & Ding, J. (2021) · Neuron · doi:10.1016/j.neuron.2021.07.030 · Cited by 62
Bathellier, B., Tee, S. P., Hrovat, C., & Rumpel, S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312125110 · Cited by 59
Suri, D., Bhattacharya, A., & Vaidya, V. A. (2013) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145713001004 · Cited by 58
Clusters of synaptic inputs on dendrites of layer 5 pyramidal cells in mouse visual cortex
Gökçe, O., Bonhoeffer, T., & Scheuß, V. (2016) · eLife · doi:10.7554/elife.09222 · Cited by 56
Alteration of Synaptic Network Dynamics by the Intellectual Disability Protein PAK3
Dubos, A., Combeau, G., Bernardinelli, Y., Barnier, J., Hartley, O., Gaertner, H., Boda, B., & Muller, D. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3252-11.2012 · Cited by 58
Hu, F., Xu, L., Liu, Z.-H., Ge, M.-M., Ruan, D.-Y., & Wang, H.-L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101894 · Cited by 54
Cramer, N., & Galdzicki, Z. (2012) · Neural Plasticity · doi:10.1155/2012/101542 · Cited by 60
Hedrick, N. G., & Yasuda, R. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.06.002 · Cited by 53
Lafourcade, M., van der Goes, M.-S. H., Vardalaki, D., Brown, N. J., Voigts, J., Yun, D. H., Kim, M. E., Ku, T., & Harnett, M. T. (2022) · Neuron · doi:10.1016/j.neuron.2022.01.025 · Cited by 56
Gigapixel imaging with a novel multi-camera array microscope
Thomson, E. E., Harfouche, M., Konda, P. C., Seitz, C. W., Kim, K., Cooke, C., Xu, S., Jacobs, W. S., Blazing, R. M., Chen, Y., et al. (2022) · eLife · doi:10.7554/elife.74988 · Cited by 54
Caged compounds for multichromic optical interrogation of neural systems
Amatrudo, J. M., Olson, J. P., Agarwal, H. K., & Ellis‐Davies, G. C. R. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12785 · Cited by 58
Synaptic plasticity in dendrites: complications and coping strategies
Mel, B. W., Schiller, J., & Poirazi, P. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.03.012 · Cited by 53
Agnati, L. F., Guidolin, D., Battistin, L., Pagnoni, G., & Fuxé, K. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00296 · Cited by 58
Neurofibromin Is the Major Ras Inactivator in Dendritic Spines
Oliveira, A. F., & Yasuda, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3096-13.2014 · Cited by 52
On the research of time past: the hunt for the substrate of memory
Queenan, B. N., Ryan, T. J., Gazzaniga, M. S., & Gallistel, C. R. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13348 · Cited by 55
Takasaki, K., & Sabatini, B. L. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00029 · Cited by 51
Edelmann, E., & Leßmann, V. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00025 · Cited by 52
Sun, Y., Smirnov, M., Kamasawa, N., & Yasuda, R. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.1964-20.2021 · Cited by 51
Efficient associative memory storage in cortical circuits of inhibitory and excitatory neurons
Chapeton, J. I., Fares, T., LaSota, D., & Stepanyants, A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211467109 · Cited by 51
Edelmann, E., & Leßmann, V. (2011) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2011.00006 · Cited by 51
Dendritic spine classification using shape and appearance features based on two-photon microscopy
Ghani, M. U., Mesadi, F., Kanık, S. D., Argunşah, A. Ö., Hobbiss, A. F., Israely, I., Ünay, D., Taşdizen, T., & Çetin, M. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.12.006 · Cited by 45
Yadav, A., Gao, Y. Z., Rodriguez, A., Dickstein, D. L., Wearne, S. L., Luebke, J. I., Hof, P. R., & Weaver, C. M. (2012) · The Journal of Comparative Neurology · doi:10.1002/cne.23070 · Cited by 49
My Neighbour Hetero — deconstructing the mechanisms underlying heterosynaptic plasticity
Chater, T. E., & Goda, Y. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.10.007 · Cited by 48
Life at Low Copy Number: How Dendrites Manage with So Few mRNAs
Kosik, K. S. (2016) · Neuron · doi:10.1016/j.neuron.2016.11.002 · Cited by 47
Hobbiss, A. F., Ramiro‐Cortés, Y., & Israely, I. (2018) · iScience · doi:10.1016/j.isci.2018.09.015 · Cited by 47
Yang, Y., & Liu, J. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102534 · Cited by 49
Ravasenga, T., Ruben, M., Regio, V., Polenghi, A., Petrini, E. M., & Barberis, A. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110347 · Cited by 48
Pharmacological enhancement of memory or cognition in normal subjects
Lynch, G. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00090 · Cited by 46
Solid‐State Oxide‐Ion Synaptic Transistor for Neuromorphic Computing
Langner, P., Chiabrera, F. M., Alayo, N., Nizet, P., Morrone, L., Bozal‐Ginesta, C., Morata, À., & Tarancón, A. (2024) · Advanced Materials · doi:10.1002/adma.202415743 · Cited by 47
Tuning into diversity of homeostatic synaptic plasticity
Lee, K. F. H., Soares, C., & Béïque, J.-C. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.03.016 · Cited by 45
Synaptic competition in structural plasticity and cognitive function
Ramiro‐Cortés, Y., Hobbiss, A. F., & Israely, I. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0157 · Cited by 46
He, K., Lee, A., Song, L., Kanold, P. O., & Lee, H. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00913.2010 · Cited by 43
Steele, J., Brautigam, H., Short, J. A., Sowa, A., Shi, M., Yadav, A., Weaver, C. M., Westaway, D. A., Fraser, P. E., George‐Hyslop, P. S., et al. (2014) · The Journal of Comparative Neurology · doi:10.1002/cne.23536 · Cited by 45
The dynamics of synaptic scaffolds
Specht, C. G., & Triller, A. (2008) · BioEssays · doi:10.1002/bies.20831 · Cited by 46
Spatially-correlated neuron transistors with ion-gel gating for brain-inspired applications
Kong, L., Sun, J., Qian, C., Wang, C., Yang, J., & Gao, Y. (2017) · Organic Electronics · doi:10.1016/j.orgel.2017.02.004 · Cited by 44
IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq
Ma, A., Wang, C., Chang, Y., Brennan, F. H., McDermaid, A., Liu, B., Zhang, C., Popovich, P. G., & Ma, Q. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa394 · Cited by 43
Ultrastructural comparison of dendritic spine morphology preserved with cryo and chemical fixation
Tamada, H., Blanc, J., Korogod, N., Petersen, C. C. H., & Knott, G. W. (2020) · eLife · doi:10.7554/elife.56384 · Cited by 44
Dendritic, delayed, stochastic CaMKII activation in behavioural time scale plasticity
Jain, A., Nakahata, Y., Pancani, T., Watabe, T., Rusina, P., South, K., Adachi, K., Yan, L., Simorowski, N., Furukawa, H., et al. (2024) · Nature · doi:10.1038/s41586-024-08021-8 · Cited by 57
Cao, G., & Harris, K. M. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00297.2014 · Cited by 41
Trainable Bilingual Synaptic Functions in Bio-enabled Synaptic Transistors
Han, M. J., & Tsukruk, V. V. (2023) · ACS Nano · doi:10.1021/acsnano.3c04113 · Cited by 44
The mechanisms underlying the spatial spreading of signaling activity
Yasuda, R., & Murakoshi, H. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.02.008 · Cited by 44
Clustered structural and functional plasticity of dendritic spines
Lu, J., & Zuo, Y. (2016) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2016.09.008 · Cited by 44
Function of Dendritic Spines on Hippocampal Inhibitory Neurons
Scheuß, V., & Bonhoeffer, T. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht171 · Cited by 46
Roles of Calcium Stores and Store-Operated Channels in Plasticity of Dendritic Spines
Segal, M., & Korkotian, E. (2015) · The Neuroscientist · doi:10.1177/1073858415613277 · Cited by 42
The impacts of geometry and binding on CaMKII diffusion and retention in dendritic spines
Byrne, M. J., Waxham, M. N., & Kubota, Y. (2011) · Journal of Computational Neuroscience · doi:10.1007/s10827-010-0293-9 · Cited by 41
Bleckert, A., Parker, E. D., Kang, Y., Pancaroglu, R., Soto, F., Lewis, R. M., Craig, A. M., & Wong, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069612 · Cited by 41
Micro-rewiring as a substrate for learning
DeBello, W. M. (2008) · Trends in Neurosciences · doi:10.1016/j.tins.2008.08.006 · Cited by 39
Ramiro‐Cortés, Y., & Israely, I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071155 · Cited by 39
Spectrotemporal dynamics of auditory cortical synaptic receptive field plasticity
Froemke, R. C., & Martins, A. R. O. (2011) · Hearing Research · doi:10.1016/j.heares.2011.03.005 · Cited by 40
Glutamate is required for depression but not potentiation of long-term presynaptic function
Padamsey, Z., Tong, R., & Emptage, N. J. (2017) · eLife · doi:10.7554/elife.29688 · Cited by 40
Greathouse, K. M., Boros, B. D., Deslauriers, J. F., Henderson, B. W., Curtis, K. A., Gentry, E. G., & Herskowitz, J. H. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1748-4 · Cited by 38
Viganò, A., Toscano, M., Puledda, F., & Piero, V. D. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00032 · Cited by 42
Magó, Á., Weber, J. P., Ujfalussy, B. B., & Makara, J. K. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2071-19.2020 · Cited by 36
Johenning, F. W., Beed, P. S., Trimbuch, T., Bendels, M. H. K., Winterer, J., & Schmitz, D. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2672-09.2009 · Cited by 38
Input clustering and the microscale structure of local circuits
DeBello, W. M., McBride, T. J., Nichols, G. S., Pannoni, K. E., Sanculi, D., & Totten, D. J. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00112 · Cited by 39
Microdomains in Forebrain Spines: an Ultrastructural Perspective
Rácz, B., & Weinberg, R. J. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8345-y · Cited by 41
Sheng, N., Shi, Y. S., Lomash, R. M., Roche, K. W., & Nicoll, R. A. (2015) · eLife · doi:10.7554/elife.11682 · Cited by 44
Hiratani, N., & Fukai, T. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0027-17.2017 · Cited by 38
Heterosynaptic Plasticity and the Experience-Dependent Refinement of Developing Neuronal Circuits
Jenks, K. R., Tsimring, K., Ip, J. P. K., Zepeda, J. C., & Sur, M. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.803401 · Cited by 35
Engram mechanisms of memory linking and identity
Choucry, A., Nomoto, M., & Inokuchi, K. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00814-0 · Cited by 41
CaMKII autophosphorylation is the only enzymatic event required for synaptic memory
Chen, X., Cai, Q., Zhou, J., Pleasure, S. J., Schulman, H., Zhang, M., & Nicoll, R. A. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2402783121 · Cited by 41
Statistical analysis of dendritic spine distributions in rat hippocampal cultures
Jammalamadaka, A., Banerjee, S., Manjunath, B. S., & Kosik, K. S. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-287 · Cited by 36
Noguchi, J., Nagaoka, A., Hayama, T., Ucar, H., Yagishita, S., Takahashi, N. K., & Kasai, H. (2019) · Scientific Reports · doi:10.1038/s41598-019-50445-0 · Cited by 38
Heterosynaptic cross-talk of pre- and postsynaptic strengths along segments of dendrites
Tong, R., Chater, T. E., Emptage, N. J., & Goda, Y. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108693 · Cited by 32
Contributions by metaplasticity to solving the Catastrophic Forgetting Problem
Jedlička, P., Tomko, M., Robins, A. V., & Abraham, W. C. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.06.002 · Cited by 36
Chapter 1 Genetic Dissection of Neural Circuits and Behavior in Mus musculus
Havekes, R., & Abel, T. G. (2009) · Advances in genetics · doi:10.1016/s0065-2660(09)65001-x · Cited by 36
Adenosine A2a receptor antagonists attenuate striatal adaptations following dopamine depletion
Peterson, J. D., Goldberg, J. A., & Surmeier, D. J. (2011) · Neurobiology of Disease · doi:10.1016/j.nbd.2011.08.030 · Cited by 35
Liebscher, S., Page, R., Kaefer, K., Winkler, E., Quinn, K., Goldbach, E. G., Brigham, E. F., Quincy, D. A., Basi, G. S., Schenk, D., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.122 · Cited by 33
Davidson, A. M., Mejía-Gómez, H., Jacobowitz, M., & Mostany, R. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz124 · Cited by 36
Inhibition in Multiclass Classification
Huerta, R., Vembu, S., Amigó, J. M., Nowotny, T., & Elkan, C. (2012) · Neural Computation · doi:10.1162/neco_a_00321 · Cited by 33
Modelling plasticity in dendrites: from single cells to networks
Bono, J., Wilmes, K. A., & Clopath, C. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.013 · Cited by 33
Half a century legacy of long-term potentiation
Caya-Bissonnette, L., & Béïque, J.-C. (2024) · Current Biology · doi:10.1016/j.cub.2024.05.008 · Cited by 41
Letellier, M., Levet, F., Thoumine, O. R., & Goda, Y. (2019) · PLoS Biology · doi:10.1371/journal.pbio.2006223 · Cited by 32
Rac-maninoff and Rho-vel: The symphony of Rho-GTPase signaling at excitatory synapses
Duman, J. G., Blanco, F. A., Cronkite, C. A., Ru, Q., Erikson, K., Mulherkar, S. A., Saifullah, A. B., Firozi, K., & Tolias, K. F. (2021) · Small GTPases · doi:10.1080/21541248.2021.1885264 · Cited by 35
Mechanisms of Neural and Behavioral Dysfunction in Alzheimer’s Disease
Wesson, D. W., Nixon, R. A., Levy, E., & Wilson, D. A. (2011) · Molecular Neurobiology · doi:10.1007/s12035-011-8177-1 · Cited by 34
Studying Signal Transduction in Single Dendritic SpinesPreprint
Yasuda, R. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005611 · Cited by 33
Hsiang, J.-C., Johnson, K. P., Madisen, L., Zeng, H., & Kerschensteiner, D. (2017) · eLife · doi:10.7554/elife.31307 · Cited by 32
Metaplasticity at CA1 Synapses by Homeostatic Control of Presynaptic Release Dynamics
Soares, C., Lee, K. F. H., & Béïque, J.-C. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.10.025 · Cited by 31
Dormán, D. B., Jędrzejewska‐Szmek, J., & Blackwell, K. T. (2018) · eLife · doi:10.7554/elife.38588 · Cited by 29
The Quest for the Hippocampal Memory Engram: From Theories to Experimental Evidence
Miry, O., Li, J., & Chen, L. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.632019 · Cited by 40
Hu, H. Y., Kruijssen, D. L. H., Frias, C. P., Rózsa, B. J., Hoogenraad, C. C., & Wierenga, C. J. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.078 · Cited by 31
Role of NCAM in Spine Dynamics and Synaptogenesis
Müller, D., Méndez, P., Roo, M. D., Klauser, P., Steen, S., & Poglia, L. (2009) · Advances in experimental medicine and biology · doi:10.1007/978-1-4419-1170-4_16 · Cited by 32
Mechanism based approaches for rescuing and enhancing cognition
LYNCH, G. S. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00143 · Cited by 30
Xu, T., Wang, S., Lalchandani, R. R., & Ding, J. (2017) · Movement Disorders · doi:10.1002/mds.26938 · Cited by 31
Cortical and Thalamic Interaction with Amygdala-to-Accumbens Synapses
Xia, S.-H., Yu, J. J., Huang, X., Sesack, S. R., Huang, Y. H., Schlüter, O. M., Cao, J., & Dong, Y. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1121-20.2020 · Cited by 33
Kastellakis, G., Tasciotti, S., Pandi, I., & Poirazi, P. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1212139 · Cited by 36
Optical imaging of structural and functional synaptic plasticity in vivo
Holtmaat, A. J. D. G., Randall, J., & Cane, M. (2013) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2013.07.020 · Cited by 32
Dendritic spine morphology and memory formation depend on postsynaptic Caskin proteins
Bencsik, N., Pusztai, S., Borbély, S., Fekete, A., Dülk, M., Kis, V., Pesti, S., Vas, V., Szűcs, A. L., Buday, L., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-53317-9 · Cited by 30
Balcioglu, A., Gillani, R. L., Doron, M., Burnell, K., Ku, T., Erişir, A., Chung, K., Segev, I., & Nedivi, E. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01253-9 · Cited by 29
Fast Learning with Weak Synaptic Plasticity
Yger, P., Stimberg, M., & Brette, R. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0607-15.2015 · Cited by 28
Depolarization gates spine calcium transients and spike-timing-dependent potentiation
Jiang, H., & Oertner, T. G. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.10.004 · Cited by 29
Possible Role of Dendritic Compartmentalization in the Spatial Working Memory Circuit
Morita, K. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.0059-08.2008 · Cited by 31
The computational power of the human brain
Gebicke‐Haerter, P. J. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1220030 · Cited by 35
Local and global predictors of synapse elimination during motor learning
Hedrick, N. G., Wright, W. J., & Komiyama, T. (2024) · Science Advances · doi:10.1126/sciadv.adk0540 · Cited by 28
Synapse impairment associated with enhanced apoptosis in post‐traumatic stress disorder
Xinzhao, C., Jiang, Y.-F., Wang, J., Liu, Y., Xiao, M., Song, C., Bai, Y., Han, N. Y., & Han, F. (2019) · Synapse · doi:10.1002/syn.22134 · Cited by 29
An interactive time series image analysis software for dendritic spines
Argunşah, A. Ö., Erdil, E., Ghani, M. U., Ramiro‐Cortés, Y., Hobbiss, A. F., Karayannis, T., Çetin, M., Israely, I., & Ünay, D. (2022) · Scientific Reports · doi:10.1038/s41598-022-16137-y · Cited by 22
Wang, W., Zinsmaier, A. K., Firestone, E., Lin, R., Yatskievych, T. A., Yang, S., Zhang, J., & Bao, S. (2018) · Journal of Neurotrauma · doi:10.1089/neu.2018.5688 · Cited by 29
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