The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A Model of Spatial Map Formation in the Hippocampus of the Rat
Abstract
Using experimental facts about long-term potentiation (LTP) and hippocampal place cells, we model how a spatial map of the environment can be created in the rat hippocampus. Sequential firing of place cells during exploration induces, in the model, a pattern of LTP between place cells that shifts the location coded by their ensemble activity away from the actual location of the animal. These shifts provide a navigational map that, in a simulation of the Morris maze, can guide the animal toward its goal. The model demonstrates how behaviorally generated modifications of synaptic strengths can be read out to affect subsequent behavior. Our results also suggest a way that navigational maps can be constructed from experimental recordings of hippocampal place cells.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“A number of neurobiologically inspired, fully mechanistic computational models of navigational behavior have been developed to account for the ability of animals relying on allocentric frameworks to perform path planning, without the need to resort to “mentalistic” explanations”
From Spatial Cognition in Teleost Fish: Strategies and Mechanisms (2021) · cites this paper as [89]
Citations
Cites
(1978) · UA Campus Repository (The University of Arizona) · Cited by 8,010
Place navigation impaired in rats with hippocampal lesions
Morris, R. G. M., Garrud, P., Rawlins, J. N. P., & O'Keefe, J. (1982) · Nature · doi:10.1038/297681a0 · Cited by 6,340
The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat
O'Keefe, J., & Dostrovsky, J. (1971) · Brain Research · doi:10.1016/0006-8993(71)90358-1 · Cited by 6,151
Morris, R. G. M., Anderson, E., Lynch, G. S., & Baudry, M. (1986) · Nature · doi:10.1038/319774a0 · Cited by 3,640
Neuronal Population Coding of Movement Direction
Georgopoulos, A. P., Schwartz, A. B., & Kettner, R. E. (1986) · Science · doi:10.1126/science.3749885 · Cited by 3,219
Reactivation of hippocampal ensemble memories during sleep
Wilson, M. A., & McNaughton, B. L. (1994) · Science · doi:10.1126/science.8036517 · Cited by 3,118
Phase relationship between hippocampal place units and the EEG theta rhythm
O'Keefe, J. M., & Recce, M. L. (1993) · Hippocampus · doi:10.1002/hipo.450030307 · Cited by 2,643
Dynamics of the Hippocampal Ensemble Code for Space
Wilson, M. A., & McNaughton, B. L. (1993) · Science · doi:10.1126/science.8351520 · Cited by 2,350
Encoding of Spatial Location by Posterior Parietal Neurons
Andersen, R., Essick, G. K., & Siegel, R. M. (1985) · Science · doi:10.1126/science.4048942 · Cited by 1,413
Zipser, D., & Andersen, R. A. (1988) · Nature · doi:10.1038/331679a0 · Cited by 1,172
Research works printed but not linked: 7
- Andersen R. A., 1985, Sc-iwce, 230, 456
- Gustafsson B., 1987, Ncirrosci, 7, 774
- Hestrin S., 1990, Ncirrori, 5, 247
- Jahr C. E., 1990, Nrrrrosii., 10, 18313
- Jarrard L. E., 1993, Bcliot. Nrirrnl Bicil., 60, 9
- Levy W. B., 1983, Neitroscieiice, 8, 791
- Traub R. D., 1992, Nekvork, 3, 465
Cited by
Sorted by citations
Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
Song, S., Miller, K. D., & Abbott, L. F. (2000) · Nature Neuroscience · doi:10.1038/78829 · Cited by 2,794
Self-citationSynaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263
Self-citationSpike Timing–Dependent Plasticity: A Hebbian Learning Rule
Caporale, N., & Dan, Y. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.060407.125639 · Cited by 1,997
Place Cells, Grid Cells, and the Brain's Spatial Representation System
Moser, E. I., Kropff, E., & Moser, M.-B. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.061307.090723 · Cited by 1,934
Frequency of gamma oscillations routes flow of information in the hippocampus
Colgin, L. L., Denninger, T., Fyhn, M., Hafting, T., Bonnevie, T., Jensen, O. B., Moser, M., & Moser, E. I. (2009) · Nature · doi:10.1038/nature08573 · Cited by 1,489
Memory of sequential experience in the hippocampus during slow wave sleep
Lee, A. K., & Wilson, M. A. (2002) · Neuron · doi:10.1016/s0896-6273(02)01096-6 · Cited by 1,296
The hippocampus and memory: insights from spatial processing
Bird, C. M., & Burgess, N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2335 · Cited by 1,313
The Hippocampus, Memory, and Place Cells
Eichenbaum, H., Dudchenko, P., Wood, E., Shapiro, M., & Tanila, H. (1999) · Neuron · doi:10.1016/s0896-6273(00)80773-4 · Cited by 1,064
The Spike-Timing Dependence of Plasticity
Feldman, D. E. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.001 · Cited by 1,071
Spike Timing-Dependent Plasticity of Neural Circuits
Dan, Y., & Poo, M. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.007 · Cited by 1,029
The hippocampus as a predictive map
Stachenfeld, K. L., Botvinick, M. M., & Gershman, S. J. (2017) · Nature Neuroscience · doi:10.1038/nn.4650 · Cited by 1,000
Path integration and cognitive mapping in a continuous attractor neural network model
Samsonovich, A., & McNaughton, B. L. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-15-05900.1997 · Cited by 989
A pathophysiological framework of hippocampal dysfunction in ageing and disease
Small, S. A., Schobel, S., Buxton, R. B., Witter, M. P., & Barnes, C. A. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3085 · Cited by 955
Hasselmo, M. E., Bodelón, C., & Wyble, B. P. (2002) · Neural Computation · doi:10.1162/089976602317318965 · Cited by 875
Arc/Arg3.1 Is Essential for the Consolidation of Synaptic Plasticity and Memories
Plath, N., Ohana, O., Dammermann, B., Errington, M. L., Schmitz, D., Gross, C., Mao, X., Engelsberg, A., Mahlke, C., Welzl, H., et al. (2006) · Neuron · doi:10.1016/j.neuron.2006.08.024 · Cited by 827
Synaptic Plasticity Forms and Functions
Magee, J. C., & Grienberger, C. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-090919-022842 · Cited by 806
Zhang, K., Ginzburg, I., McNaughton, B. L., & Sejnowski, T. J. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.2.1017 · Cited by 741
Impact of aging on hippocampal function: plasticity, network dynamics, and cognition
Rosenzweig, E. S., & Barnes, C. A. (2003) · Progress in Neurobiology · doi:10.1016/s0301-0082(02)00126-0 · Cited by 755
Dendritic Excitability and Synaptic Plasticity
Sjöström, P. J., Rancz, E. A., Roth, A., & Häusser, M. (2008) · Physiological Reviews · doi:10.1152/physrev.00016.2007 · Cited by 740
Stable Hebbian Learning from Spike Timing-Dependent Plasticity
van Rossum, M. C. W., Bi, G., & Turrigiano, G. G. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-23-08812.2000 · Cited by 722
A synaptic organizing principle for cortical neuronal groups
Perin, R., Berger, T. K., & Markram, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016051108 · Cited by 718
Behavioral time scale synaptic plasticity underlies CA1 place fields
Bittner, K. C., Milstein, A. D., Grienberger, C., Romani, S., & Magee, J. C. (2017) · Science · doi:10.1126/science.aan3846 · Cited by 707
Attractor Dynamics in the Hippocampal Representation of the Local Environment
Wills, T. J., Lever, C., Cacucci, F., Burgess, N., & O'Keefe, J. M. (2005) · Science · doi:10.1126/science.1108905 · Cited by 666
Role of experience and oscillations in transforming a rate code into a temporal code
Mehta, M. R., Lee, A. K., & Wilson, M. A. (2002) · Nature · doi:10.1038/nature00807 · Cited by 630
Relating Hippocampal Circuitry to Function
Lisman, J. E. (1999) · Neuron · doi:10.1016/s0896-6273(00)81085-5 · Cited by 607
Place Cells, Grid Cells, and MemoryPreprint
Moser, M., Rowland, D. C., & Moser, E. I. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021808 · Cited by 596
Hasselmo, M. E. (2005) · Hippocampus · doi:10.1002/hipo.20116 · Cited by 502
Why do we sleep?11Published on the World Wide Web on 7 November 2000.
Sejnowski, T. J., & Destexhe, A. (2000) · Brain Research · doi:10.1016/s0006-8993(00)03007-9 · Cited by 489
Experience-Dependent Asymmetric Shape of Hippocampal Receptive Fields
Mehta, M. R., Quirk, M. C., & Wilson, M. A. (2000) · Neuron · doi:10.1016/s0896-6273(00)81072-7 · Cited by 488
Hippocampus-independent phase precession in entorhinal grid cells
Hafting, T., Fyhn, M., Bonnevie, T., Moser, M., & Moser, E. I. (2008) · Nature · doi:10.1038/nature06957 · Cited by 485
A history of spike-timing-dependent plasticity
Markram, H. (2011) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2011.00004 · Cited by 454
New life in an old idea: The synaptic plasticity and memory hypothesis revisited
Martin, S. J., & Morris, R. (2002) · Hippocampus · doi:10.1002/hipo.10107 · Cited by 461
Hippocampal Plasticity across Multiple Days of Exposure to Novel Environments
Frank, L. M., Stanley, G. B., & Brown, E. N. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1958-04.2004 · Cited by 410
Lisman, J. E., & Otmakhova, N. A. (2001) · Hippocampus · doi:10.1002/hipo.1071 · Cited by 414
Lester, A. W., Moffat, S. D., Wiener, J. M., Barnes, C. A., & Wolbers, T. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.037 · Cited by 435
Jensen, O. B., & Lisman, J. E. (1996) · Learning & Memory · doi:10.1101/lm.3.2-3.279 · Cited by 392
BIOLOGICALLY BASED ARTIFICIAL NAVIGATION SYSTEMS: REVIEW AND PROSPECTS
TRULLIER, O., WIENER, S. I., BERTHOZ, A., & MEYER, J.-A. (1997) · Progress in Neurobiology · doi:10.1016/s0301-0082(96)00060-3 · Cited by 363
Natural patterns of activity and long-term synaptic plasticity
Paulsen, O. (2000) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00076-3 · Cited by 354
Hebbian STDP in mushroom bodies facilitates the synchronous flow of olfactory information in locusts
Cassenaer, S., & Laurent, G. (2007) · Nature · doi:10.1038/nature05973 · Cited by 335
Using Grid Cells for Navigation
Bush, D., Barry, C., Manson, D., & Burgess, N. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.006 · Cited by 347
The Role of the Hippocampus in Solving the Morris Water Maze
Redish, A. D., & Touretzky, D. S. (1998) · Neural Computation · doi:10.1162/089976698300017908 · Cited by 310
Hippocampal mechanisms for the context-dependent retrieval of episodes
Hasselmo, M. E., & Eichenbaum, H. (2005) · Neural Networks · doi:10.1016/j.neunet.2005.08.007 · Cited by 310
Wallenstein, G. V., & Hasselmo, M. E. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.78.1.393 · Cited by 299
Structuring knowledge with cognitive maps and cognitive graphs
Peer, M., Brunec, I. K., Newcombe, N. S., & Epstein, R. A. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.10.004 · Cited by 283
Prediction, sequences and the hippocampus
Lisman, J. E., & Redish, A. D. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0316 · Cited by 299
What Grid Cells Convey about Rat Location
Fiete, I., Burak, Y., & Brookings, T. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5684-07.2008 · Cited by 282
Functional Significance of Long-Term Potentiation for Sequence Learning and Prediction
Abbott, L. F., & Blum, K. I. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.3.406 · Cited by 273
Self-citationCoding for spatial goals in the prelimbic/infralimbic area of the rat frontal cortex
Hok, V., Save, É., Lenck‐Santini, P., & Poucet, B. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407332102 · Cited by 269
Knierim, J. J., Lee, I., & Hargreaves, E. L. (2006) · Hippocampus · doi:10.1002/hipo.20203 · Cited by 271
Loewenstein, Y., Kuras, A., & Rumpel, S. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6130-10.2011 · Cited by 259
Timing is not everything: neuromodulation opens the STDP gate
Pawlak, V. (2010) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2010.00146 · Cited by 267
NMDA Receptor Antagonism Blocks Experience-Dependent Expansion of Hippocampal “Place Fields”
Ekstrom, A. D., Meltzer, J., McNaughton, B. L., & Barnes, C. A. (2001) · Neuron · doi:10.1016/s0896-6273(01)00401-9 · Cited by 246
The Cognitive Architecture of Spatial Navigation: Hippocampal and Striatal Contributions
Chersi, F., & Burgess, N. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.021 · Cited by 240
A Double Dissociation between Hippocampal Subfields
Lee, I., Rao, G., & Knierim, J. J. (2004) · Neuron · doi:10.1016/j.neuron.2004.05.010 · Cited by 246
Prediction and memory: A predictive coding account
Barron, H. C., Auksztulewicz, R., & Friston, K. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101821 · Cited by 220
Senn, W., Markram, H., & Tsodyks, M. V. (2001) · Neural Computation · doi:10.1162/089976601300014628 · Cited by 213
The Effect of Aging on Experience-Dependent Plasticity of Hippocampal Place Cells
Shen, J., Barnes, C. A., McNaughton, B. L., Skaggs, W. E., & Weaver, K. L. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-17-06769.1997 · Cited by 212
Spatial Processing in the Brain: The Activity of Hippocampal Place Cells
Best, P. J., White, A. M., & Minai, A. A. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.459 · Cited by 204
Hippocampus as a memory map: Synaptic plasticity and memory encoding by hippocampal neurons
Shapiro, M. L., & Eichenbaum, H. (1999) · Hippocampus · doi:10.1002/(sici)1098-1063(1999)9:4 · Cited by 209
Senescent synapses and hippocampal circuit dynamics
Burke, S. N., & Barnes, C. A. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2009.12.003 · Cited by 213
Lee, I., Griffin, A. L., Zilli, E. A., Eichenbaum, H., & Hasselmo, M. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.06.033 · Cited by 192
Long-term potentiation and the ageing brain
Barnes, C. A. (2003) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2002.1244 · Cited by 191
An analysis of neural receptive field plasticity by point process adaptive filtering
Brown, E. N., Nguyen, D. P., Frank, L. M., Wilson, M. A., & Solo, V. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.201409398 · Cited by 176
Neuromodulation, theta rhythm and rat spatial navigation
Hasselmo, M. E., Hay, J., Ilyn, M., & Anatoli Gorchetchnikov, A. (2002) · Neural Networks · doi:10.1016/s0893-6080(02)00057-6 · Cited by 181
Spatial goal coding in the hippocampal formation
Nyberg, N., Duvelle, É., Barry, C., & Spiers, H. J. (2022) · Neuron · doi:10.1016/j.neuron.2021.12.012 · Cited by 141
Nanoscale electronic synapses using phase change devices
Jackson, B. L., Rajendran, B., Corrado, G. S., Breitwisch, M., Burr, G. W., Cheek, R. W., Gopalakrishnan, K., Raoux, S., Rettner, C. T., Padilla, A., et al. (2013) · ACM Journal on Emerging Technologies in Computing Systems · doi:10.1145/2463585.2463588 · Cited by 163
Adler, A., Zhao, R., Shin, M. E., Yasuda, R., & Gan, W. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.036 · Cited by 158
Jensen, O. B., & Lisman, J. E. (1996) · Learning & Memory · doi:10.1101/lm.3.2-3.264 · Cited by 155
Presynaptic Spike Timing-Dependent Long-Term Depression in the Mouse Hippocampus
Andrade‐Talavera, Y., Duque‐Feria, P., Paulsen, O., & Moreno, A. R. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw172 · Cited by 152
Attractor-Map Versus Autoassociation Based Attractor Dynamics in the Hippocampal Network
Colgin, L. L., Leutgeb, S., Ježek, K., Leutgeb, J. K., Moser, E. I., McNaughton, B. L., & Moser, M. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00202.2010 · Cited by 139
Cohen, J. D., Bolstad, M., & Lee, A. K. (2017) · eLife · doi:10.7554/elife.23040 · Cited by 146
Káli, S., & Dayan, P. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-19-07463.2000 · Cited by 143
Reinforcement Learning With Modulated Spike Timing–Dependent Synaptic Plasticity
Farries, M. A., & Fairhall, A. L. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00364.2007 · Cited by 135
Jackson, J. C., Johnson, A. C., & Redish, A. D. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.4118-06.2006 · Cited by 132
Model averaging, optimal inference, and habit formation
FitzGerald, T. H. B., Dolan, R. J., & Friston, K. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00457 · Cited by 121
Spike phase precession persists after transient intrahippocampal perturbation
Zugaro, M., Monconduit, L., & Buzsáki, G. (2004) · Nature Neuroscience · doi:10.1038/nn1369 · Cited by 125
Dalziel, B. D., Morales, J. M., & Fryxell, J. M. (2008) · The American Naturalist · doi:10.1086/589448 · Cited by 129
Samsonovich, A. V., & Ascoli, G. A. (2005) · Learning & Memory · doi:10.1101/lm.85205 · Cited by 127
Testing neural network models of memory with behavioral experiments
Kesner, R. (2000) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00067-2 · Cited by 124
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 132
Timing and efficacy of transmitter release at mossy fiber synapses in the hippocampal network
Bischofberger, J., Engel, D., Frotscher, M., & Jónás, P. (2006) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-006-0093-2 · Cited by 129
Widloski, J., & Foster, D. J. (2022) · Neuron · doi:10.1016/j.neuron.2022.02.002 · Cited by 129
Alain Destexhe, A., & Sejknowski, T. (2023) · doi:10.1093/oso/9780198864998.001.0001 · Cited by 115
Larkin, M. C., Lykken, C., Tye, L. D., Wickelgren, J. G., & Frank, L. M. (2014) · Hippocampus · doi:10.1002/hipo.22268 · Cited by 110
George, D., Rikhye, R. V., Gothoskar, N., Guntupalli, J. S., Dedieu, A., & Lázaro-Gredilla, M. (2021) · Nature Communications · doi:10.1038/s41467-021-22559-5 · Cited by 109
Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells
Wulfram Gerstner, B., & Abbott, L. F. (1997) · Journal of Computational Neuroscience · doi:10.1023/a:1008820728122 · Cited by 109
Self-citationB, T. J. S. A. (1999) · Neuron · doi:10.1016/s0896-6273(00)81025-9 · Cited by 108
Krichmar, J. L., Seth, A. K., Nitz, D. A., Fleischer, J., & Edelman, G. M. (2005) · Neuroinformatics · doi:10.1385/ni:3:3:197 · Cited by 105
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 111
Self-citationHippocampal Place Cell Firing Patterns Can Induce Long-Term Synaptic Plasticity In Vitro
Isaac, J. T. R., Buchanan, K. A., Muller, R. U., & Mellor, J. R. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0731-09.2009 · Cited by 100
Conjoint Control of Hippocampal Place Cell Firing by Two Visual Stimuli
Fenton, A. A., Csizmadia, G., & Muller, R. U. (2000) · The Journal of General Physiology · doi:10.1085/jgp.116.2.191 · Cited by 95
Bimodality of Theta Phase Precession in Hippocampal Place Cells in Freely Running Rats
Yamaguchi, Y., Aota, Y., McNaughton, B. L., & Lipa, P. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.87.6.2629 · Cited by 92
From synaptic plasticity to spatial maps and sequence learning
Mehta, M. R. (2015) · Hippocampus · doi:10.1002/hipo.22472 · Cited by 98
Quirk, M. C., Blum, K. I., & Wilson, M. A. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-01-00240.2001 · Cited by 92
Self-citationHansen, N., & Manahan‐Vaughan, D. (2015) · Hippocampus · doi:10.1002/hipo.22436 · Cited by 92
Johnson, A. C., & Redish, A. D. (2005) · Neural Networks · doi:10.1016/j.neunet.2005.08.009 · Cited by 92
Krichmar, J. L., Nitz, D. A., Gally, J. A., & Edelman, G. M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409792102 · Cited by 88
Neurobiologically inspired mobile robot navigation and planning
Cuperlier, N. (2007) · Frontiers in Neurorobotics · doi:10.3389/neuro.12.003.2007 · Cited by 100
Navigating with grid and place cells in cluttered environments
Edvardsen, V., Bičanski, A., & Burgess, N. (2019) · Hippocampus · doi:10.1002/hipo.23147 · Cited by 90
Hagena, H., & Manahan‐Vaughan, D. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq271 · Cited by 87
Metadata
- Authors
- Blum, K. I., & Abbott, L. F.
- Affiliations
- Brandeis University (US)
- ORCID
- Abbott, L. F.
- Venue
- Neural Computation
- Publisher
- MIT Press
- Published
- 1996-01
- Volume
- 8
- Issue
- 1
- Pages
- 85-93
- ISSN
- 0899-7667 (ISSN-L)
- 1530-888X
- OpenAlex
- W2113273079
- Cited by
- 352
- References
- 33
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 8 · 2023: 29 · 2022: 8 · 2021: 12 · 2020: 9 · 2019: 8 · 2018: 7 · 2017: 8 · 2016: 10 · 2015: 9 · 2014: 8 · 2013: 8 · 2012: 9
- FWCI
- 7.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neural Computation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- W. M. Keck Foundation
- National Institute of Neurological Disorders and Stroke (NS07292., T32NS007292)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- hippocampus, place cells, long-term potentiation, rat navigation, Morris water maze, synaptic plasticity, spatial navigation
- MeSH terms
- Action Potentials, Animals, Brain Mapping, Cognition, Hippocampus, Models, Neurological, Long-Term Potentiation, Maze Learning, Rats
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