Behavioral time scale synaptic plasticity underlies CA1 place fields
Open accessAbstract
A different form of synaptic plasticity: How do synaptic or other neuronal changes support learning? This subject has been dominated by Hebb's postulate of synaptic change. Although there is strong experimental support for Hebbian plasticity in a number of preparations, alternative ideas have also been developed over the years. Bittner et al. provide in vivo, in vitro, and modeling data to support the view that non-Hebbian plasticity may underlie the formation of hippocampal place fields (see the Perspective by Krupic). Instead of multiple pairings, a single strong Ca 2+ plateau potential in neuronal dendrites paired with spatial inputs may be sufficient to produce place cells. Science , this issue p. 1033 ; see also p. 974
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Active locomotion engages spatial entorhinal inputs onto CA1 pyramidal neurons, and rapid plasticity mechanisms at these distal inputs are thought to support place field formation.
“Active locomotion is known to engage spatial entorhinal inputs onto CA1 pyramidal neurons, and rapid plasticity mechanisms at these distal inputs are thought to support place field formation17,20.”
From Place and behavioral modulation of hippocampal neurons during immobility (2026) · cites this paper as [17]
The passages labeled Abstract report that rapid potentiation of synaptic inputs can form CA1 place fields, including in mice running on a treadmill. They do not establish that active locomotion engages spatial entorhinal inputs or that the plasticity occurs at distal entorhinal inputs; the paper instead discusses position-specific input from CA3 and tests stratum radiatum axons in slices. (LLM, conf=0.88)
Experimental — accuracy not yet measuredPlace field formation in CA1 neurons is thought to occur via rapid synaptic plasticity mechanisms at distal entorhinal inputs.
“Place field formation in CA1 neurons is thought to occur via rapid synaptic plasticity mechanisms at distal entorhinal inputs16,17.”
From Place and behavioral modulation of hippocampal neurons during immobility (2026) · cites this paper as [17]
The paper reports that CA1 place fields can form rapidly through synaptic potentiation, even in a single trial (Abstract; page not provided). It does not identify the potentiated inputs as distal entorhinal inputs. Its slice experiments instead stimulated stratum radiatum axons, so the input-location detail is unsupported. (LLM, conf=0.88)
Experimental — accuracy not yet measuredBehavioral timescale synaptic plasticity (BTSP) is responsible for the rapid formation of hippocampal place fields.
“behavioral timescale synaptic plasticity (BTSP) (103–106), which is responsible for the rapid formation of hippocampal place fields.”
From Synaptic memory and CaMKII (2023) · cites this paper as [104]
BTSP is NMDAR dependent and, unlike classical LTP, has a coincidence time window of seconds rather than milliseconds.
“It is NMDAR dependent, but unlike classical LTP the coincidence time window is seconds, not milliseconds.”
From Synaptic memory and CaMKII (2023) · cites this paper as [104]
BTSP has been reproduced in slices, with the plateau potential induced by strong postsynaptic depolarization.
“BTSP has been reproduced in slices (104) (FIGURE 12, A–C). In this case the plateau potential is induced by strong postsynaptic depolarization.”
From Synaptic memory and CaMKII (2023) · cites this paper as [104]
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Cites
Bliss, T. V. P., & Gardner-Medwin, A. R. (1973) · The Journal of Physiology · doi:10.1113/jphysiol.1973.sp010274 · Cited by 7,460 · see citing works
LOSS OF RECENT MEMORY AFTER BILATERAL HIPPOCAMPAL LESIONS
Scoville, W. B., & Milner, B. (1957) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.20.1.11 · Cited by 7,322 · see citing works
Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
Markram, H., Lübke, J., Frotscher, M., & Sakmann, B. (1997) · Science · doi:10.1126/science.275.5297.213 · Cited by 3,832 · see citing works
Memory systems of the brain: A brief history and current perspective
Squire, L. R. (2004) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2004.06.005 · Cited by 2,269 · see citing works
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
Montague, P., Dayan, P., & Sejnowski, T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-05-01936.1996 · Cited by 2,066 · see citing works
Toward a modern theory of adaptive networks: Expectation and prediction.
Sutton, R. S., & Barto, A. G. (1981) · Psychological Review · doi:10.1037/0033-295x.88.2.135 · Cited by 1,450 · see citing works
A Synaptically Controlled, Associative Signal for Hebbian Plasticity in Hippocampal Neurons
Magee, J. C., & Johnston, D. (1997) · Science · doi:10.1126/science.275.5297.209 · Cited by 1,303 · see citing works
Self-citationHippocampal place-cell sequences depict future paths to remembered goals
Pfeiffer, B. E., & Foster, D. J. (2013) · Nature · doi:10.1038/nature12112 · Cited by 1,216 · see citing works
The Spike-Timing Dependence of Plasticity
Feldman, D. E. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.001 · Cited by 1,071 · see citing works
Intracellular dynamics of hippocampal place cells during virtual navigation
Harvey, C. D., Collman, F., Dombeck, D. A., & Tank, D. W. (2009) · Nature · doi:10.1038/nature08499 · Cited by 854 · see citing works
Time cells in the hippocampus: a new dimension for mapping memories
Eichenbaum, H. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3827 · Cited by 843 · see citing works
The reorganization and reactivation of hippocampal maps predict spatial memory performance
Dupret, D., O'Neill, J., Pleydell-Bouverie, B., & Csicsvari, J. (2010) · Nature Neuroscience · doi:10.1038/nn.2599 · Cited by 769 · see citing works
Activation of CaMKII in single dendritic spines during long-term potentiation
Lee, S.-J. R., Escobedo-Lozoya, Y., Szatmari, E. M., & Yasuda, R. (2009) · Nature · doi:10.1038/nature07842 · Cited by 685 · see citing works
Solving the Distal Reward Problem through Linkage of STDP and Dopamine Signaling
Izhikevich, E. M. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl152 · Cited by 664 · see citing works
Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons
Bittner, K. C., Grienberger, C., Vaidya, S. P., Milstein, A. D., Macklin, J. J., Suh, J., Tonegawa, S., & Magee, J. C. (2015) · Nature Neuroscience · doi:10.1038/nn.4062 · Cited by 540 · see citing works
Self-citationD.O. Hebb: The Organization of Behavior, Wiley: New York; 1949
Morris, R. (1999) · Brain Research Bulletin · doi:10.1016/s0361-9230(99)00182-3 · Cited by 520 · see citing works
Mayford, M., Siegelbaum, S. A., & Kandel, E. R. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005751 · Cited by 500 · see citing works
Accumulation of Hippocampal Place Fields at the Goal Location in an Annular Watermaze Task
Hollup, S., Molden, S., Donnett, J. G., Moser, M., & Moser, E. I. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-05-01635.2001 · Cited by 490 · see citing works
Abolition of Long-Term Stability of New Hippocampal Place Cell Maps by NMDA Receptor Blockade
Kentros, C., Hargreaves, E., Hawkins, R. D., Kandel, E. R., Shapiro, M., & Muller, R. V. (1998) · Science · doi:10.1126/science.280.5372.2121 · Cited by 484 · see citing works
The Spread of Ras Activity Triggered by Activation of a Single Dendritic Spine
Harvey, C. D., Yasuda, R., Zhong, H., & Svoboda, K. (2008) · Science · doi:10.1126/science.1159675 · Cited by 434 · see citing works
Hines, M. L. (2009) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.001.2009 · Cited by 396 · see citing works
A Model of Spatial Map Formation in the Hippocampus of the Rat
Blum, K. I., & Abbott, L. F. (1996) · Neural Computation · doi:10.1162/neco.1996.8.1.85 · Cited by 352 · see citing works
Vectorial representation of spatial goals in the hippocampus of bats
Sarel, A., Finkelstein, A., Las, L., & Ulanovsky, N. (2017) · Science · doi:10.1126/science.aak9589 · Cited by 340 · see citing works
Pathway Interactions and Synaptic Plasticity in the Dendritic Tuft Regions of CA1 Pyramidal Neurons
Takahashi, H., & Magee, J. C. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.007 · Cited by 312 · see citing works
Self-citationHippocampal place cell assemblies are speed-controlled oscillators
Geisler, C. E., Robbe, D., Zugaro, M., Sirota, A., & Buzsáki, G. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610121104 · Cited by 273 · see citing works
Mammalian brain substrates of aversive classical conditioning.
Lavond, D., Kim, J. J., & Thompson, R. F. (1993) · Annual Review of Psychology · doi:10.1146/annurev.ps.44.020193.001533 · Cited by 258 · see citing works
Hippocampal Place Fields Emerge upon Single-Cell Manipulation of Excitability During Behavior
Lee, D., Lin, B., & Lee, A. K. (2012) · Science · doi:10.1126/science.1221489 · Cited by 251 · see citing works
Activity dynamics and behavioral correlates of CA3 and CA1 hippocampal pyramidal neurons
Mizuseki, K., Royer, S., Diba, K., & Buzsáki, G. (2012) · Hippocampus · doi:10.1002/hipo.22002 · Cited by 221 · see citing works
Conditional modulation of spike-timing-dependent plasticity for olfactory learning
Cassenaer, S., & Laurent, G. (2012) · Nature · doi:10.1038/nature10776 · Cited by 215 · see citing works
Dendritic spikes induce single-burst long-term potentiation
Remy, S., & Spruston, N. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707919104 · Cited by 179 · see citing works
Solving the distal reward problem through linkage of STDP and dopamine signaling
Izhikevich, E. M. (2007) · BMC Neuroscience · doi:10.1186/1471-2202-8-s2-s15 · Cited by 168 · see citing works
Grienberger, C., Milstein, A. D., Bittner, K. C., Romani, S., & Magee, J. C. (2017) · Nature Neuroscience · doi:10.1038/nn.4486 · Cited by 165 · see citing works
Self-citationBliss, T. V. P., & Lømo, T. (1973) · The Journal of Physiology · doi:10.1113/jphysiol.1973.sp010273 · Cited by 135 · see citing works
Sequence learning and the role of the hippocampus in rodent navigation
Foster, D. J., & Knierim, J. J. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.12.005 · Cited by 124 · see citing works
Sequential ionic and conformational signaling by calcium channels drives neuronal gene expression
Li, B., Tadross, M. R., & Tsien, R. W. (2016) · Science · doi:10.1126/science.aad3647 · Cited by 121 · see citing works
Extending the effects of spike-timing-dependent plasticity to behavioral timescales
Drew, P. J., & Abbott, L. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600676103 · Cited by 107 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [1]Hebb DO, The Organization of Behavior (Wiley, 1949). 10643472
- [3]Dayan P, Abbott L, Theoretical Neuroscience (MIT Press, 2001).
Cited by
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Richards, B. A., Lillicrap, T. P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., Clopath, C., Costa, R. P., de Berker, A., Ganguli, S., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0520-2 · Cited by 1,027 · see citing works
Targeted Activation of Hippocampal Place Cells Drives Memory-Guided Spatial Behavior
Robinson, N. T. M., Descamps, L. A. L., Russell, L. E., Buchholz, M. O., Bicknell, B. A., Antonov, G. K., Lau, J. Y. N., Nutbrown, R., Schmidt-Hieber, C., & Häusser, M. (2020) · Cell · doi:10.1016/j.cell.2020.09.061 · Cited by 281 · see citing works
Turi, G. F., Li, W.-K., Chavlis, S., Pandi, I., O’Hare, J., Priestley, J. B., Grosmark, A. D., Liao, Z., Ladow, M., Zhang, J. F., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.009 · Cited by 218 · see citing works
Kaufman, A. M., Geiller, T., & Losonczy, A. (2020) · Neuron · doi:10.1016/j.neuron.2019.12.029 · Cited by 193 · see citing works
Hippocampal remapping as hidden state inference
Sanders, H., Wilson, M. A., & Gershman, S. J. (2020) · eLife · doi:10.7554/elife.51140 · Cited by 163 · see citing works
Nicoll, R. A., & Schulman, H. (2023) · Physiological Reviews · doi:10.1152/physrev.00034.2022 · Cited by 126 · see citing works
“A series of elegant studies (104, 106, 424, 425) have discovered a new form of plasticity referred to as behavioral timescale synaptic plasticity (BTSP).”
BackgroundHippocampal reactivation extends for several hours following novel experience
Giri, B., Miyawaki, H., Mizuseki, K., Cheng, S., & Diba, K. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.1950-18.2018 · Cited by 99 · see citing works
Preconfigured dynamics in the hippocampus are guided by embryonic birthdate and rate of neurogenesis
Huszár, R., Zhang, Y., Blockus, H., & Buzsáki, G. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01138-x · Cited by 104 · see citing works
Chindemi, G., Abdellah, M., Amsalem, O., Benavides-Piccione, R., Delattre, V., Doron, M., Ecker, A., Jaquier, A. T., King, J., Kumbhar, P., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30214-w · Cited by 102 · see citing works
A mechanism for learning with sleep spindles
Peyrache, A., & Seibt, J. (2020) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0230 · Cited by 89 · see citing works
Savelli, F., & Knierim, J. J. (2019) · Journal of Experimental Biology · doi:10.1242/jeb.188912 · Cited by 93 · see citing works
Manipulating Hippocampal Place Cell Activity by Single-Cell Stimulation in Freely Moving Mice
Diamantaki, M., Coletta, S., Nasr, K., Zeraati, R., Laturnus, S., Berens, P., Preston-Ferrer, P., & Burgalossi, A. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.031 · Cited by 85 · see citing works
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Graves, A. R., Roth, R. H., Tan, H. L., Zhu, Q., Bygrave, A. M., Lopez-Ortega, E., Hong, I., Spiegel, A. C., Johnson, R. C., Vogelstein, J. T., et al. (2021) · eLife · doi:10.7554/elife.66809 · Cited by 84 · see citing works
Cognitive and Physiologic Impacts of the Infraslow Oscillation
Watson, B. O. (2018) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00044 · Cited by 74 · see citing works
Mental navigation and the neural mechanisms of insight
Aru, J., Drüke, M., Pikamäe, J., & Larkum, M. E. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2022.11.002 · Cited by 38 · see citing works
The two tales of hippocampal sharp-wave ripple content: The rigid and the plastic
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A structured scaffold underlies activity in the hippocampus
Mulders, D., Yim, M. Y., Lee, J. S., Lee, A. K., Taillefumier, T., & Fiete, I. R. (2021) · doi:10.1101/2021.11.20.469406 · Cited by 11 · see citing works
Place and behavioral modulation of hippocampal neurons during immobility
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“Recent work has demonstrated that during active locomotion, evoking spiking activity in single hippocampal neurons can be suf fi - cientforinducingdenovoplace fi elds 16,17,20 .”
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Tang, W., Chang, H., Liu, C., Perez-Hernandez, S., Zheng, W. Y., Park, J., Karaba, L. A., Oliva, A., & Fernandez-Ruiz, A. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02491-x
- Authors
- Bittner, K. C., Milstein, A. D., Grienberger, C., Romani, S., & Magee, J. C.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Bittner, Katie C.
- Milstein, Aaron D.
- Magee, Jeffrey C.
- Venue
- Science
- Published
- 2017-09-08
- Volume
- 357
- Issue
- 6355
- Pages
- 1033-1036
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC7289271
- OpenAlex
- W2751166226
- Cited by
- 707
- References
- 37
- Citations by year
- 2026: 104 · 2025: 117 · 2024: 117 · 2023: 82 · 2022: 76 · 2021: 61 · 2020: 56 · 2019: 43 · 2018: 38 · 2017: 12
- FWCI
- 23.40
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- HHMI (award309598)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- synaptic plasticity, place cells, place fields, hippocampus, CA1, spatial learning, Hebbian plasticity, dendritic calcium signaling
- MeSH terms
- Animals, Calcium, Female, Male, Memory, Mice, Inbred C57BL, Neuronal Plasticity, Long-Term Potentiation, Mice, CA1 Region, Hippocampal
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