The DOI matches its Crossref record; 90 of the 91 references it cites were found in a registry or an index.
Neural Ensembles in CA3 Transiently Encode Paths Forward of the Animal at a Decision Point
Open accessAbstract
Neural ensembles were recorded from the CA3 region of rats running on T-based decision tasks. Examination of neural representations of space at fast time scales revealed a transient but repeatable phenomenon as rats made a decision: the location reconstructed from the neural ensemble swept forward, first down one path and then the other. Estimated representations were coherent and preferentially swept ahead of the animal rather than behind the animal, implying it represented future possibilities rather than recently traveled paths. Similar phenomena occurred at other important decisions (such as in recovery from an error). Local field potentials from these sites contained pronounced theta and gamma frequencies, but no sharp wave frequencies. Forward-shifted spatial representations were influenced by task demands and experience. These data suggest that the hippocampus does not represent space as a passive computation, but rather that hippocampal spatial processing is an active process likely regulated by cognitive mechanisms.
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
“research on place cells has shown that the rat hippocampus consistently engages in retrieving previous experiences during pauses in waking behaviours [116,118–120].”
From Is episodic-like memory like episodic memory? (2024) · cites this paper as [120]
Experimental — accuracy not yet measuredIn the citing paper
“They do so in a manner consistent with the idea that the subject is engaged in some form of deliberation regarding its future potential states and the worth thereof (Johnson and Redish, 2007; Pfeiffer and Foster, 2013; van der Meer and Redish, 2009), for instance, being correlated with the subject’s ultimate choices.”
From Goals and Habits in the Brain (2013) · cites this paper as Johnson and Redish, 2007
In the citing paper
“In particular, at decision points such as a branch point in a maze, hippocampal place cell responses can be observed to sweep forward from the actual location of the subject.”
From Goals and Habits in the Brain (2013) · cites this paper as Johnson and Redish, 2007
In the citing paper
“Along with these human studies, there is now an accumulating wealth of reports of the sort of neural response profile that would be predicted if indeed an animal is evaluating a menu of internally represented actions and their consequences at critical decision points.”
From Goals and Habits in the Brain (2013) · cites this paper as Johnson and Redish, 2007
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
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,268
(1978) · UA Campus Repository (The University of Arizona) · Cited by 8,010
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
Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans.
Squire, L. R. (1992) · Psychological Review · doi:10.1037/0033-295x.99.2.195 · Cited by 5,376
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
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533
Barto, A. (1998) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)38315-5 · Cited by 2,172
Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning
O'Doherty, J., Dayan, P., Schultz, J., Deichmann, R., Friston, K., & Dolan, R. J. (2004) · Science · doi:10.1126/science.1094285 · Cited by 2,088
Memory consolidation, retrograde amnesia and the hippocampal complex
Nadel, L., & Moscovitch, M. (1997) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(97)80010-4 · Cited by 1,924
Research works printed but not linked: 4
- Ainge, 2005, Disparity between sequence-dependent hippocampal activity and hippocampal lesion effects on a continuous t-maze task, Soc Neurosci Abstr, 31, 776
- Ainge, 2006, Prospective coding in CA1 hippocampal place cells on a maze with multiple choice points, Soc Neurosci Abstr, 32, 68
- Davis, 2006, Hippocampal dependence of anticipatory neuronal firing in the orbitofrontal cortex of rats learning an odor-sequence memory task, Soc Neurosci Abstr, 32, 66
- Pavlov I (1927) Conditioned reflexes (Oxford UP, Oxford).
Cited by
Sorted by citations
Items 601–700 of 999
Miles, J. T., Mullins, G. L., & Mizumori, S. J. Y. (2024) · Learning & Memory · doi:10.1101/lm.053911.123 · Cited by 11
Comrie, A. E., Monroe, E. J., Kahn, A. E., Denovellis, E. L., Joshi, A., Guidera, J. A., Krausz, T. A., Berke, J. D., Daw, N. D., & Frank, L. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.23.613567 · Cited by 10
Closed-loop modulation of remote hippocampal representations with neurofeedback
Coulter, M. E., Gillespie, A. K., Chu, J. P., Denovellis, E. L., Nguyen, T. T. K., Liu, D. F., Wadhwani, K., Sharma, B., Wang, K. X.-L., Deng, X., et al. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.023 · Cited by 14
Situationally appropriate behavior: translating situations into appetitive behavior modes
Behrendt, R. (2013) · Reviews in the Neurosciences · doi:10.1515/revneuro-2013-0037 · Cited by 9
Case-Based Decision Neuroscience
Bhui, R. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812098-9.00004-8 · Cited by 10
Gordon, J. R., Fiannaca, A. J., Kneisel, M., Cutrell, E. B., Miller, A., & González-Franco, M. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3585800 · Cited by 9
Patt, V. M., Hunsberger, R., Jones, D. A., & Verfaellie, M. H. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.2250-22.2023 · Cited by 9
Accounting for multiscale processing in adaptive real-world decision-making via the hippocampus
Mehrotra, D., & Dubé, L. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1200842 · Cited by 9
Neural Oscillations: Phase Coding in the Absence of Rhythmicity
Bush, D., & Burgess, N. (2019) · Current Biology · doi:10.1016/j.cub.2018.11.056 · Cited by 13
The perirhinal cortex supports spatial intertemporal choice stability
Kreher, M. A., Johnson, S. A., Mizell, J. M., Chetram, D. K., Guenther, D. T., Lovett, S. D., Setlow, B., Bizon, J. L., Burke, S. N., & Maurer, A. P. (2019) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.05.002 · Cited by 11
Fast construction of interpretable whole-brain decoders
Lee, S., Bradlow, E. T., & Kable, J. W. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100227 · Cited by 8
Modeling of grid cell activity demonstrates in vivo entorhinal ‘look-ahead’ properties
Gupta, K., Erdem, U. M., & Hasselmo, M. E. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.04.056 · Cited by 9
IMPLICATIONS OF THE MULTIPLE‐VULNERABILITIES THEORY OF ADDICTION FOR CRAVING AND RELAPSE
Redish, A. D. (2009) · Addiction · doi:10.1111/j.1360-0443.2009.02746.x · Cited by 9
Self-citationWhat is a cognitive map? Organising knowledge for flexible behaviourPreprint
Behrens, T. E. J., Müller, T., Whittington, J. C. R., Mark, S., Baram, A. B., Stachenfeld, K., & Kurth-Nelson, Z. L. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/365593 · Cited by 16
Sung, J. Y., Harris, O. K., Hensley, N. M., Chemero, A. P., & Morehouse, N. I. (2021) · Integrative and Comparative Biology · doi:10.1093/icb/icab040 · Cited by 7
Rosenblum, H. L., Kim, S., Stout, J. J., Klintsova, A. Y., & Griffin, A. L. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1241-24.2025 · Cited by 9
Phase Precession Relative to Turning Angle in Theta‐Modulated Head Direction Cells
Ji, Z., Lomi, E., Jeffery, K. J., Mitchell, A. S., & Burgess, N. (2025) · Hippocampus · doi:10.1002/hipo.70008 · Cited by 7
Hasselmo, M. E. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.03.009 · Cited by 8
Cuttoli, R. D.-D., Martínez-Rivera, F. J., Li, L., Minier-Toribio, A. M., Dong, Z., Cai, D. J., Russo, S. J., Nestler, E. J., & Sweis, B. M. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.12.011 · Cited by 8
Huang, J., Zhang, Z., & Ruan, X. (2024) · Biomimetics · doi:10.3390/biomimetics9060315 · Cited by 8
A cognitive map model based on spatial and goal-oriented mental exploration in rodents
Qing, Z., Wang, R., & Wang, Z. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.05.050 · Cited by 8
A hidden Markov model for decoding and the analysis of replay in spike trains
Box, M., Jones, M. W., & Whiteley, N. (2016) · Journal of Computational Neuroscience · doi:10.1007/s10827-016-0621-9 · Cited by 9
Romero, K., Barense, M. D., & Moscovitch, M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.047 · Cited by 7
Learning shifts the preferred theta phase of gamma oscillations in CA1
Rayan, A., Donoso, J. R., Méndez‐Couz, M., Dolón, L., Cheng, S., & Manahan‐Vaughan, D. (2022) · Hippocampus · doi:10.1002/hipo.23460 · Cited by 8
Generalization of cognitive maps across space and time
Sherrill, K. R., Molitor, R. J., Karagoz, A. B., Atyam, M., Mack, M. L., & Preston, A. R. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad092 · Cited by 14
Jarovi, J., Pilkiw, M., & Takehara‐Nishiuchi, K. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113492 · Cited by 6
The mantle of the heavens: Reflections on the 2014 nobel prize for medicine or physiology
Morris, R. (2015) · Hippocampus · doi:10.1002/hipo.22455 · Cited by 8
Hasselmo, M. E. (2011) · Scholarpedia · doi:10.4249/scholarpedia.1371 · Cited by 9
Imagining the Possibilities: Ripples, Routes, and Reactivation
Knierim, J. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.08.002 · Cited by 8
Decoding the view expectation during learned maze navigation from human fronto-parietal network
Shikauchi, Y., & Ishii, S. (2015) · Scientific Reports · doi:10.1038/srep17648 · Cited by 9
Koene, R. A., & Hasselmo, M. E. (2007) · Brain Research · doi:10.1016/j.brainres.2007.06.067 · Cited by 8
Representation learning with reward prediction errors
Alexander, W. H., & Gershman, S. J. (2022) · Neurons Behavior Data analysis and Theory · doi:10.51628/001c.37270 · Cited by 7
Circuit mechanisms of navigation strategy learning in mice
Parrini, M., Tricot, G., Caroni, P., & Spolidoro, M. (2023) · Current Biology · doi:10.1016/j.cub.2023.11.047 · Cited by 7
Russo, E., Becker, N., Domanski, A. P. F., Howe, T., Freud, K., Durstewitz, D., & Jones, M. W. (2024) · Nature Communications · doi:10.1038/s41467-024-52988-x · Cited by 7
Repulsion of hippocampal representations driven by distinct internal beliefs
Guo, W., Han, S., & Kuhl, B. A. (2025) · Current Biology · doi:10.1016/j.cub.2025.05.029 · Cited by 7
Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics
Massi, E., Barthélemy, J.-G., Mailly, J., Dromnelle, R., Canitrot, J., Poniatowski, E., Girard, B., & Khamassi, M. (2022) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2022.864380 · Cited by 7
Pausing and reorienting behaviors enhance the performance of a spatial working memory task
George, A. E., Stout, J. J., & Griffin, A. L. (2023) · Behavioural Brain Research · doi:10.1016/j.bbr.2023.114410 · Cited by 7
Firing rate adaptation affords place cell theta sweeps, phase precession, and procession
Chu, T., Ji, Z., Zuo, J., Mi, Y., Zhang, W., Huang, T., Bush, D., Burgess, N., & Wu, S. (2023) · eLife · doi:10.7554/elife.87055 · Cited by 32
Kalhan, S., Garrido, M. I., Hester, R., & Redish, A. D. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.09.032 · Cited by 9
Self-citationMental Time Travel: A Retrospective
Redish, A. D. (2024) · Hippocampus · doi:10.1002/hipo.23661 · Cited by 8
Self-citationCognitive representations of spatial location
Jeffery, K. J. (2018) · Brain and Neuroscience Advances · doi:10.1177/2398212818810686 · Cited by 9
The Role of Hierarchical Dynamical Functions in Coding for Episodic Memory and Cognition
Dannenberg, H., Alexander, A. S., Robinson, J. C., & Hasselmo, M. E. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01439 · Cited by 7
From Topological Analyses to Functional Modeling: The Case of Hippocampus
Dabaghian, Y. A. (2021) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.593166 · Cited by 8
Caluwaerts, K., Favre-Félix, A., Staffa, M., N’Guyen, S., Grand, C., Girard, B., & Khamassi, M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31525-1_6 · Cited by 7
Hippocampal theta sequences in REM sleep during spatial learningPreprint
Zielinski, M. C., Shin, J. D., & Jadhav, S. P. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.15.439854 · Cited by 8
Hippocampal theta sweeps indicate goal direction during navigation
Yu, C., Ji, Z., Ormond, J., O'Keefe, J. M., & Burgess, N. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02365-2 · Cited by 17
Shapiro, M. L. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.006 · Cited by 6
Yang, L., Chen, X., Yang, L., Li, M., & Shang, Z. (2024) · Animals · doi:10.3390/ani14030439 · Cited by 6
Sequential memory improves sample and memory efficiency in episodic control
Freire, I. T., Amil, A. F., & Verschure, P. F. M. J. (2024) · Nature Machine Intelligence · doi:10.1038/s42256-024-00950-3 · Cited by 6
Cuttoli, R. D.-D., Issler, O., Pedersen, S., Yakubov, B., Jahan, N., Abid, A., Kasparov, S., Granizo, K., Ahmed, S., Russo, S. J., et al. (2025) · Science Advances · doi:10.1126/sciadv.adr3228 · Cited by 6
Effects of fictive reward on rat's choice behavior
Kim, K.-U., Huh, N., Jang, Y., Lee, D., & Jung, M. W. (2015) · Scientific Reports · doi:10.1038/srep08040 · Cited by 6
One Shot Spatial Learning through Replay in a Hippocampus-Inspired Reinforcement Learning Model
Alabi, A., Minai, A. A., & Vanderelst, D. F. (2020) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn48605.2020.9207435 · Cited by 7
Reeck, C., Figner, B., Weber, E. U., Steffener, J., Krosch, A. R., Wager, T. D., & Johnson, E. J. (2021) · Journal of Neuroscience Psychology and Economics · doi:10.1037/npe0000122 · Cited by 6
Dynamic decision making: Empirical and theoretical directions
Hotaling, J. M., & Kellen, D. (2022) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2022.03.004 · Cited by 7
Context-independent expression of spatial code in hippocampus
Kapl, S., Tichánek, F., Zitricky, F., & Ježek, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-25006-7 · Cited by 7
Diminished State Space Theory of Human Aging
Eppinger, B., Ruel, A., & Bolenz, F. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231204811 · Cited by 6
Kurikawa, T., & Kaneko, K. (2014) · Neural Networks · doi:10.1016/j.neunet.2014.07.005 · Cited by 7
Давидович, Ц. В. (2014) · Mathematical Biology and Bioinformatics · doi:10.17537/2014.9.216 · Cited by 6
Robust encoding of scene anticipation during human spatial navigation
Shikauchi, Y., & Ishii, S. (2016) · Scientific Reports · doi:10.1038/srep37599 · Cited by 6
Neural Oscillations as Representations
Martínez, M., & Artiga, M. (2021) · The British Journal for the Philosophy of Science · doi:10.1086/714914 · Cited by 8
Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error
Krichmar, J. L., Ketz, N., Pilly, P. K., & Soltoggio, A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-16770-6_15 · Cited by 7
The dynamics of memory retrieval in hierarchical networks
Gu, Y., & Gong, P. (2016) · Journal of Computational Neuroscience · doi:10.1007/s10827-016-0595-7 · Cited by 6
Fate of Duplicated Neural Structures
Seoane, L. F. (2020) · Entropy · doi:10.3390/e22090928 · Cited by 7
Panayi, M. C., Khamassi, M., & Killcross, S. (2021) · Behavioral Neuroscience · doi:10.1037/bne0000454 · Cited by 6
Dorsal hippocampus contributes to model-based planningPreprint
Miller, K. J., Botvinick, M., & Brody, C. D. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/096594 · Cited by 6
Großberger, L., Battaglia, F. P., & Vinck, M. A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/252791 · Cited by 7
Regular cycling between representations of alternatives in the hippocampusPreprint
Kay, K., Chung, J. E., Sosa, M., Schor, J. S., Karlsson, M. P., Larkin, M. C., Liu, D. F., & Frank, L. M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/528976 · Cited by 7
Ekman, M., Gennari, G., & de Lange, F. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.26.477907 · Cited by 8
Multi-Step Planning in the BrainPreprint
Miller, K. J., & Venditto, S. J. C. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/kv86m · Cited by 8
Theta oscillations in the human hippocampus normalize the information content of episodic memoryPreprint
Santos-Pata, D., Zucca, R., Amil, A. F., Príncipe, A., Pérez‐Enríquez, C., Rocamora, R., Kwok, S. C., & Verschure, P. F. M. J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.27.497705 · Cited by 5
Poursiami, H., Moshruba, A., Cooper, K. W., Gobin, D., Kaiser, M. A.-A., Singh, A., Noor, R., Shahbaba, B., Jaiswal, A., Fortin, N. J., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-10586-x · Cited by 8
Wittkuhn, L., Krippner, L. M., Koch, C., & Schuck, N. W. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2507516122 · Cited by 25
Allothetic and idiothetic spatial cues control the multiplexed theta phase coding of place cells
Sueoka, Y., Jayakumar, R. P., Madhav, M. S., Savelli, F., Cowan, N. J., & Knierim, J. J. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02038-6 · Cited by 6
Neural population activity for memory: Properties, computations, and codes
Dupret, D., Fusi, S., & Panzeri, S. (2025) · Neuron · doi:10.1016/j.neuron.2025.11.007 · Cited by 7
Porter, B. S., Shi, C., Kozlova, E., & Jadhav, S. P. (2026) · Behavioral Neuroscience · doi:10.1037/bne0000660 · Cited by 6
Recursive Self-prediction in Self-control and Its Failure
Ainslie, G. W. (2009) · Springer eBooks · doi:10.1007/978-90-481-2593-7_7 · Cited by 5
A unifying account of replay as context-driven memory reactivation
Zhou, Z., Kahana, M. J., & Schapiro, A. C. (2026) · eLife · doi:10.1101/2023.03.22.533833 · Cited by 7
Reinforcement Learning Navigation for Robots Based on Hippocampus Episode Cognition
Yuan, J., Guo, W. P., Hou, Z., Zha, F., Li, M., Wang, P., & Sun, L. (2024) · Journal of Bionic Engineering · doi:10.1007/s42235-023-00454-7 · Cited by 5
Poucet, B., Hok, V., Sargolini, F., & Save, É. (2011) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2011.09.002 · Cited by 7
Matsuda, E., Hubert, J., & Ikegami, T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102708 · Cited by 5
Early Failures Benefit Subsequent Task Performance
Igata, H., Sasaki, T., & Ikegaya, Y. (2016) · Scientific Reports · doi:10.1038/srep21293 · Cited by 6
Predictive Technologies: Can Smart Tools Augment the Brain's Predictive Abilities?
Pezzulo, G., D’Ausilio, A., & Gaggioli, A. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00186 · Cited by 5
Toward mechanistic models of action-oriented and detached cognition
Pezzulo, G. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15001648 · Cited by 5
Goal-Directed Sequences in the Hippocampus
Schmidt, B., Wikenheiser, A. M., & Redish, A. D. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812098-9.00006-1 · Cited by 5
Self-citationPreston, A. R., Molitor, R. J., Pudhiyidath, A., & Schlichting, M. L. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21074-2 · Cited by 6
Variational Free Energy and Economics Optimizing With Biases and Bounded Rationality
Henriksen, M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.549187 · Cited by 7
Blackwell, K. T., & Doya, K. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011385 · Cited by 4
Hippocampus activation related to ‘real-time’ processing of visuospatial change
Beudel, M., Leenders, K. L., & de Jong, B. M. (2016) · Brain Research · doi:10.1016/j.brainres.2016.10.010 · Cited by 5
Proceedings of the 2019 annual meeting of the Fetal Alcohol Spectrum Disorders Study Group
Hamilton, D. A., Mooney, S. M., Petrenko, C. L. M., & Hamre, K. M. (2020) · Alcohol · doi:10.1016/j.alcohol.2020.02.165 · Cited by 5
Exploration Versus Exploitation
Powell, W. B. (2011) · Wiley series in probability and statistics · doi:10.1002/9781118029176.ch12 · Cited by 7
Hippocampal ensembles represent sequential relationships among discrete nonspatial eventsPreprint
Shahbaba, B., Li, L., Agostinelli, F., Saraf, M., Elias, G. A., Baldi, P., & Fortin, N. J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/840199 · Cited by 5
Hasselmo, M. E., Alexander, A. S., Dannenberg, H., & Newman, E. L. (2020) · Hippocampus · doi:10.1002/hipo.23201 · Cited by 5
The shift from life in water to life on land advantaged planning in visually-guided behaviorPreprint
Mugan, U., & MacIver, M. A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/585760 · Cited by 5
Anticipatory reinstatement of expected perceptual events during visual sequence learningPreprint
Senoussi, M., VanRullen, R., & Reddy, L. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.28.402123 · Cited by 5
Goal-centered representations in the human hippocampusPreprint
Crivelli-Decker, J. E., Clarke, A., Park, S. A., Huffman, D. J., Boorman, E. D., & Ranganath, C. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.18.456881 · Cited by 5
Reward-Based Learning, Model-Based and Model-Free
Huys, Q. J. M., Cruickshank, A., & Seriès, P. (2015) · Springer eBooks · doi:10.1007/978-1-4614-6675-8_674 · Cited by 6
A unifying account of replay as context-driven memory reactivationPreprint
Zhou, Z., Kahana, M. J., & Schapiro, A. C. (2024) · eLife · doi:10.7554/elife.99931.1 · Cited by 5
Hippocampal theta sweeps indicate goal directionPreprint
Yu, C., Ji, Z., Ormond, J., O'Keefe, J. M., & Burgess, N. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.21.671551 · Cited by 5
Attention-like regulation of theta sweeps in the brain’s spatial navigation circuitPreprint
Vollan, A. Z., Schellenberger, M. F., Moser, M., & Moser, E. I. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.27.702083 · Cited by 5
Oscillations and Boundaries in My Route Through the Hippocampal Cognitive Map
Burgess, N. (2025) · Hippocampus · doi:10.1002/hipo.70052 · Cited by 4
Metadata
- Authors
- Johnson, A., & Redish, A. D.
- Affiliations
- University of Minnesota (US)
- Corresponding author
- Redish, A. David
- ORCID
- Redish, A. David
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-11-07
- Volume
- 27
- Issue
- 45
- Pages
- 12176-12189
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6673267
- OpenAlex
- W2006760951
- Cited by
- 1,003
- References
- 91
- Citations by year
- 2026: 51 · 2025: 53 · 2024: 53 · 2023: 64 · 2022: 48 · 2021: 58 · 2020: 64 · 2019: 74 · 2018: 67 · 2017: 75 · 2016: 58 · 2015: 65 · 2014: 61 · 2013: 45 · 2012: 37
- FWCI
- 15.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Minnesota
- National Institute of Mental Health (R01-MH06829)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007151)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Keywords
- CA3, hippocampus, neuronal ensembles, spatial representation, decision-making, path encoding, local field potentials, theta oscillations, gamma oscillations, error recovery, rats
- MeSH terms
- Action Potentials, Animals, Choice Behavior, Decision Making, Hippocampus, Male, Nerve Net, Neural Pathways, Rats, Inbred BN, Rats, Inbred F344, Spatial Behavior, Time Factors, 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