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
Flagged first, then by citations
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
Items 301–351 of 351
Shouval, H. Z., Knierim, J. J., Narayanan, R., & Johnston, D. (2010)
Neuromodulation and time-dependent plasticity in a model of foraging behavior
Krichmar, J. L. (2008) · IEEE International Conference on Development and Learning (ICDL) · doi:10.1109/devlrn.2008.4640824
Stability Criteria for Unsupervised
Wallis, G. M. (2005)
Johnson, A. C. (2008) · University of Minnesota Digital Conservancy (University of Minnesota)
Model of behavior of rodent hippocampus
Bureš, M., & Jiřina, M. (2005) · International Conference on Systems
Wagatsuma, H. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511994838.013
Computational Neuroscience: Hippocampus
Hasselmo, M. E., & Hinman, J. R. (2016) · Springer eBooks · doi:10.1007/978-1-4614-6434-1_175-1
Navigating in a Three-Dimensional World
Jeffery, K. J. (2011) · The MIT Press eBooks · doi:10.7551/mitpress/9187.003.0006 · Cited by 6
Neural plasticity in decision making and memory formation
Garvert, M. M. (2016) · UCL Discovery (University College London)
Single-Neuron and Network Dynamics in the Neocortical-Entorhinal-Hippocampal Circuit
McFarland, J. M. (2011) · doi:10.7301/z0dr2sq2
Qasim, S. S. B. (2019)
Lester, A. W. (2019) · UA Campus Repository (The University of Arizona)
Arcade game testing of generalized cognitive maps in humans
Lobov, S. A., Krilova, N. P., Makarov, V. A., Kurganov, D. P., & Makarova, J. (2021) · International Conference Neurotechnologies and Neurointerfaces (CNN) · doi:10.1109/cnn53494.2021.9580220 · Cited by 1
The Effects of Repetition and Sequence Length on Hippocampal Memory Trace Reactivation
Sutherland, G. R. (2008) · UA Campus Repository (The University of Arizona)
Ziv, N. E. (2011) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.11848956.12950054
Computational Neuroscience: Hippocampus
Hasselmo, M. E., & Hinman, J. R. (2016) · Springer eBooks · doi:10.1007/978-1-4939-3474-4_175
A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place CellsPreprint
Gao, Y. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.23.489289
Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrollingPreprint
Zhang, T., Rosenberg, M., Jing, Z., Perona, P., & Meister, M. (2023) · eLife · doi:10.7554/elife.84141.2
Biophysical models of synaptic interactions
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0005
Thalamocortical mechanisms for spike-and-wave epileptic seizures
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0008
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0009
Spindle oscillations in thalamic circuits
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0006
Ionic bases of the membrane potential
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.005.0001
A physiological role for sleep oscillations
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0009
Biophysical models of the membrane potential and ionic currents
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0002
Spindle oscillations in the thalamocortical system
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0007
Data available on the Internet
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.005.0003
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0006
Electrophysiological properties of thalamic reticular neurons
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0004
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0005
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0004
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0001
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0003
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0007
Electrophysiological properties of thalamic relay neurons
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0003
Optimized algorithms for simulating synaptic currents
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.005.0002
Spatial Map: Through the Lens of Behavioral Tag and Capture
Raghuraman, R., & Hussaini, S. A. (2024) · Springer eBooks · doi:10.1007/978-3-031-54864-2_21
Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP
Vieth, M., & Triesch, J. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106985
Computational Models of Hippocampal Cognitive Function
Bush, D., & Burgess, N. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780190065324.003.0016
Neural computation in the mammalian hippocampus
Kunze, T., & Treves, A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-15754-7.00081-x
Sequence learning in spiking neural networks: novel tools and mechanisms
Vieth, M. (2025) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · doi:10.21248/gups.91001
Barcode activity in a recurrent network model of the hippocampus enables efficient memory bindingPreprint
Fang, C., Lindsey, J. W., Abbott, L. F., Aronov, D., & Chettih, S. N. (2025) · eLife · doi:10.7554/elife.103512.2
Self-citationA unifying account of replay as context-driven memory reactivationPreprint
Zhou, Z., Kahana, M. J., & Schapiro, A. C. (2025) · eLife · doi:10.7554/elife.99931.2
A statistical mechanics approach to the modelling and analysis of place-cell activity
Rosay, S. (2014) · theses.fr (ABES) · doi:10.70675/cab1724fza6e8z4402za988ze05bcb9fa7d6 · Cited by 1
Unifying experimental heterogeneity in a geometrical synaptic plasticity model
Rodrigues, Y. E. (2021) · theses.fr (ABES) · doi:10.70675/62ca5e06zd2c0z4133za51ez04d3f2ee6023
Gillon, C. J., & Clopath, C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.08.723802
The Quest for the Associative Device for H ebbian‐Like LTP —The Accidental Participant
Gustafsson, B. (2026) · Hippocampus · doi:10.1002/hipo.70116
Negrello, M. (2011) · Springer eBooks · doi:10.1007/978-1-4419-8804-1_4
Hasselmo, M. E. (2013) · Springer eBooks · doi:10.1007/978-1-4614-1424-7_10
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