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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.
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“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
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“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
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“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
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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 501–600 of 999
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Porter, B. S., Schmidt, R., & Bilkey, D. K. (2018) · Hippocampus · doi:10.1002/hipo.22966 · Cited by 21
McLaughlin, A. E., Diehl, G. W., & Redish, A. D. (2020) · International review of neurobiology · doi:10.1016/bs.irn.2020.11.009 · Cited by 25
Self-citationWang, J. X., & Voss, J. L. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.028 · Cited by 24
Naze, S., Humble, J., Zheng, P., Barton, S. J., Rangel‐Barajas, C., Rebec, G. V., & Kozloski, J. (2018) · eNeuro · doi:10.1523/eneuro.0210-18.2018 · Cited by 20
Johnson, A. C., Jackson, J. C., & Redish, A. D. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541650.005 · Cited by 20
Self-citationReward-Based Learning, Model-Based and Model-Free
Huys, Q. J. M., Cruickshank, A., & Seriès, P. (2014) · Springer eBooks · doi:10.1007/978-1-4614-7320-6_674-1 · Cited by 24
Ahmadi, S., Sasaki, T., Sabariego, M., Leibold, C., Leutgeb, S., & Leutgeb, J. K. (2025) · Nature Communications · doi:10.1038/s41467-024-54943-2 · Cited by 24
Cuttoli, R. D.-D., Martínez-Rivera, F. J., Li, L., Minier-Toribio, A. M., Cathomas, F., Holt, L. M., Yasmin, F., Elhassa, S., Shaikh, J. F., Ahmed, S., et al. (2022) · Science Advances · doi:10.1126/sciadv.add5579 · Cited by 21
Multiple forms of metaplasticity at a single hippocampal synapse during late postnatal development
McHail, D. G., & Dumas, T. C. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.01.009 · Cited by 20
Yu, R. Q., Cooke, M. B., Seib, D. R., Zhao, J., & Snyder, J. S. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112151 · Cited by 19
Modeling awake hippocampal reactivations with model-based bidirectional search
Khamassi, M., & Girard, B. (2020) · Biological Cybernetics · doi:10.1007/s00422-020-00817-x · Cited by 23
De Gustibus Disputare: Hyperbolic delay discounting integrates five approaches to impulsive choice
Ainslie, G. W. (2017) · Journal of Economic Methodology · doi:10.1080/1350178x.2017.1309373 · Cited by 22
Zhang, C., Yan, N., & Feng, T. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.04.019 · Cited by 27
Yu, J. Y., & Frank, L. M. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001393 · Cited by 23
Disorganization of Oscillatory Activity in Animal Models of Schizophrenia
Speers, L. J., & Bilkey, D. K. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.741767 · Cited by 21
Lancia, G. L., Eluchans, M., D’Alessandro, M., Spiers, H. J., & Pezzulo, G. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010829 · Cited by 21
A Code for Spatial Alternation During Fixation in Rat Hippocampal CA1 Neurons
Takahashi, M., Lauwereyns, J., Sakurai, Y., & Tsukada, M. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91159.2008 · Cited by 20
van Kesteren, M. T. R., Brown, T. I., & Wagner, A. D. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00486 · Cited by 19
Huynh, T., Alstatt, K., Abram, S. V., & Schmitzer-Torbert, N. C. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.586159 · Cited by 18
Overlap between hippocampal pre‐encoding and encoding patterns supports episodic memory
Sadeh, T., Chen, J., Goshen‐Gottstein, Y., & Moscovitch, M. (2019) · Hippocampus · doi:10.1002/hipo.23079 · Cited by 20
Speed of time-compressed forward replay flexibly changes in human episodic memoryPreprint
Michelmann, S., Staresina, B. P., Bowman, H., & Hanslmayr, S. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/323774 · Cited by 19
Cracking the neuronal code of episodic memory
Steudler, J., & Ólafsdóttir, H. F. (2023) · Science · doi:10.1126/science.adk4642 · Cited by 19
Computational modeling of animal behavior in T-mazes: Insights from machine learning
Turab, A., Sintunavarat, W., Ullah, F., Zaidi, S. A., Montoyo, A., & Nescolarde‐Selva, J. A. (2024) · Ecological Informatics · doi:10.1016/j.ecoinf.2024.102639 · Cited by 20
Remote activation of place codes by gaze in a highly visual animal
Payne, H. L., & Aronov, D. (2025) · Nature · doi:10.1038/s41586-025-09101-z · Cited by 21
Patt, V. M., Hunsberger, R., Jones, D. A., Keane, M. M., & Verfaellie, M. H. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251480 · Cited by 19
Prospective and Pavlovian mechanisms in aversive behaviour
Rigoli, F., Pezzulo, G., & Dolan, R. J. (2015) · Cognition · doi:10.1016/j.cognition.2015.10.017 · Cited by 18
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Schwartenbeck, P., Baram, A. B., Liu, Y., Mark, S., Müller, T., Dolan, R. J., Botvinick, M., Kurth-Nelson, Z. L., & Behrens, T. E. J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.06.447249 · Cited by 18
Goal-directed hippocampal theta sweeps during memory-guided navigation
Tang, W., Mei, X., Harvey, R. E., Carbajal-Leon, E., Netzer, T., Chang, H., Oliva, A., & Fernández‐Ruiz, A. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02364-3 · Cited by 28
Extrafield Activity Shifts the Place Field Center of Mass to Encode Aversive Experience
Mamad, O., Agayby, B., Stumpp, L. I., Reilly, R. B., & Tsanov, M. (2019) · eNeuro · doi:10.1523/eneuro.0423-17.2019 · Cited by 19
Stout, J. J., Hallock, H. L., George, A. E., Adiraju, S. S., & Griffin, A. L. (2022) · Scientific Reports · doi:10.1038/s41598-022-14707-8 · Cited by 21
Functional Interactions of Prefrontal Cortex and the Hippocampus in Learning and Memory
Shapiro, M. L., Riceberg, J. S., Seip-Cammack, K., & Guise, K. G. (2014) · Springer eBooks · doi:10.1007/978-3-7091-1292-2_19 · Cited by 19
Network mechanisms of hippocampal laterality, place coding, and goal-directed navigation
Kitanishi, T., Ito, H., Hayashi, Y., Shinohara, Y., Mizuseki, K., & Hikida, T. (2016) · The Journal of Physiological Sciences · doi:10.1007/s12576-016-0502-z · Cited by 17
Optimizing for generalization in the decoding of internally generated activity in the hippocampus
van der Meer, M. A. A., Carey, A. A., & Tanaka, Y. (2017) · Hippocampus · doi:10.1002/hipo.22714 · Cited by 19
Chalmers, E., Luczak, A., & Gruber, A. J. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00128 · Cited by 18
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Jensen, K. T., Hennequin, G., & Mattar, M. G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.16.523429 · Cited by 17
Hippocampal Mechanisms for the Segmentation of Space by Goals and Boundaries
McKenzie, S., & Buzsáki, G. (2016) · Research and perspectives in neurosciences · doi:10.1007/978-3-319-28802-4_1 · Cited by 16
Neural assemblies revealed by inferred connectivity-based models of prefrontal cortex recordings
Tavoni, G., Cocco, S., & Monasson, R. (2016) · Journal of Computational Neuroscience · doi:10.1007/s10827-016-0617-5 · Cited by 18
Models of spatial and temporal dimensions of memory
Hasselmo, M. E., Hinman, J. R., Dannenberg, H., & Stern, C. E. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.05.024 · Cited by 18
Replays of spatial memories suppress topological fluctuations in cognitive map
Babichev, A., Morozov, D., & Dabaghian, Y. A. (2018) · Network Neuroscience · doi:10.1162/netn_a_00076 · Cited by 17
Gardner, R. S., Suarez, D. F., Robinson-Burton, N. K., Rudnicky, C. J., Gulati, A., Ascoli, G. A., & Dumas, T. C. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.03.008 · Cited by 16
Remembering rewarding futures: A simulation‐selection model of the hippocampus
Jung, M. W., Lee, H., Jeong, Y., Lee, J. W., & Lee, I. (2018) · Hippocampus · doi:10.1002/hipo.23023 · Cited by 16
Laventure, S., & Benchenane, K. (2019) · Hippocampus · doi:10.1002/hipo.23143 · Cited by 15
Progress and issues in second-order analysis of hippocampal replay
van der Meer, M. A. A., Kemere, C. T., & Diba, K. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0238 · Cited by 22
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Gupta, K., Keller, L. A., & Hasselmo, M. E. (2012) · Learning & Memory · doi:10.1101/lm.025866.112 · Cited by 14
Left-right-alternating theta sweeps in the entorhinal-hippocampal spatial mapPreprint
Vollan, A. Z., Gardner, R. J., Moser, M., & Moser, E. I. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.16.594473 · Cited by 16
Calvin, O. L., Erickson, M. T., Walters, C. J., & Redish, A. D. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3002954 · Cited by 24
Self-citationHotaling, J. M. (2019) · Decision · doi:10.1037/dec0000113 · Cited by 17
Five Breakthroughs: A First Approximation of Brain Evolution From Early Bilaterians to Humans
Bennett, M. S. (2021) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2021.693346 · Cited by 19
Cognitive maps and schizophrenia
Nour, M. M., Liu, Y., El-Gaby, M., McCutcheon, R. A., & Dolan, R. J. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.09.011 · Cited by 19
Dynamics of decision‐related activity in hippocampus
Catanese, J., Cerasti, E., Zugaro, M., Viggiano, A., & Wiener, S. I. (2012) · Hippocampus · doi:10.1002/hipo.22025 · Cited by 20
Multiplexing of Information about Self and Others in Hippocampal Ensembles
Bos, J. J., Vinck, M. A., Marchesi, P., Keestra, A., Mourik-Donga, L. A. V., Jackson, J. C., Verschure, P. F. M. J., & Pennartz, C. M. A. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.11.057 · Cited by 14
Broadbent, N., Lumeij, L. B., Parada, M. C., Ayres, A. I., Ibrahim, M. Z. B., Masatsugu, B., Moreno, A., Carames, J., Begg, E., Strickland, L., et al. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14681 · Cited by 16
Dorsal, but not ventral, hippocampal inactivation alters deliberation in rats
Meyer‐Mueller, C., Jacob, P.-Y., Montenay, J.-Y., Poitreau, J., Poucet, B., & Chaillan, F. A. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112622 · Cited by 15
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Jacobs, J., & Lee, S. A. (2016) · Current Biology · doi:10.1016/j.cub.2016.02.032 · Cited by 14
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Kaplan, R., Campo, A. T., Bush, D., King, J. A., Príncipe, A., Koster, R., Nácher, M. L., Rocamora, R., & Friston, K. J. (2019) · Cognitive Neuroscience · doi:10.1080/17588928.2019.1676711 · Cited by 14
Scleidorovich, P., Llofriu, M., Fellous, J., & Weitzenfeld, A. (2020) · Biological Cybernetics · doi:10.1007/s00422-019-00812-x · Cited by 18
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Laurent, P. A. (2012) · Cognitive Computation · doi:10.1007/s12559-012-9178-8 · Cited by 14
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Kinley, I., Amlung, M. T., & Becker, S. (2022) · Brain and Cognition · doi:10.1016/j.bandc.2022.105843 · Cited by 16
Ainslie, G. W. (2010) · The MIT Press eBooks · doi:10.7551/mitpress/9780262513111.003.0009 · Cited by 16
Human spatial representation: what we cannot learn from the studies of rodent navigation
Zhao, M. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00781.2017 · Cited by 18
Linking temporal coordination of hippocampal activity to memory function
Etter, G., Carmichael, J. E., & Williams, S. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1233849 · Cited by 16
Contextual memory engrams, and the neuromodulatory influence of the locus coeruleus
Grella, S. L., & Donaldson, T. N. (2024) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2024.1342622 · Cited by 16
Hasselmo, M. E. (2024) · Hippocampus · doi:10.1002/hipo.23676 · Cited by 19
Bennett, M. S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.685853 · Cited by 13
Howe, A. G., & Blair, H. T. (2021) · Hippocampus · doi:10.1002/hipo.23398 · Cited by 12
Hsu, C. L., Best, J. R., Chiu, B. K., Nagamatsu, L. S., Voss, M. W., Handy, T. C., Bolandzadeh, N., & Liu-Ambrose, T. Y. L. (2016) · Experimental Gerontology · doi:10.1016/j.exger.2016.04.001 · Cited by 13
Similarity-based cognition: radical enactivism meets cognitive neuroscience
Segundo‐Ortin, M., & Hutto, D. D. (2019) · Synthese · doi:10.1007/s11229-019-02505-1 · Cited by 14
Excessive deliberation in social anxietyPreprint
Hunter, L. E., Meer, E. A., Gillan, C. M., Hsu, M., & Daw, N. D. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/522433 · Cited by 13
Episodic memory retrieval success is associated with rapid replay of episode contentPreprint
Wimmer, G. E., Liu, Y., Vehar, N., Behrens, T. E. J., & Dolan, R. J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/758185 · Cited by 13
Amemiya, S., Kubota, N., Umeyama, N., Nishijima, T., & Kita, I. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.09.002 · Cited by 13
Memory Replay in the Hippocampus
Jadhav, S. P., & Frank, L. M. (2014) · Springer eBooks · doi:10.1007/978-3-7091-1292-2_13 · Cited by 12
How Does the Brain Solve the Computational Problems of Spatial Navigation?
Widloski, J., & Fiete, I. (2014) · Springer eBooks · doi:10.1007/978-3-7091-1292-2_14 · Cited by 12
Brain-state invariant thalamo-cortical coordination revealed by non-linear encoders
Viejo, G. D., Cortier, T., & Peyrache, A. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006041 · Cited by 11
Discounting future reward in an uncertain world.
Story, G. W., Kurth-Nelson, Z. L., Moutoussis, M., Iigaya, K., Will, G., Hauser, T. U., Blain, B., Vlaev, I., & Dolan, R. J. (2023) · Decision · doi:10.1037/dec0000219 · Cited by 17
Viejo, G. D., Girard, B., Procyk, E., & Khamassi, M. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.09.030 · Cited by 12
Hippocampal and Prefrontal Processing of Network Topology to Simulate the Future
(2017) · Conscious Cities Anthology · doi:10.33797/cca17.01.12 · Cited by 12
How do lesion studies elucidate the role of the hippocampus in intertemporal choice?
Palombo, D. J., Keane, M. M., & Verfaellie, M. H. (2015) · Hippocampus · doi:10.1002/hipo.22433 · Cited by 12
Dark Control: Towards a Unified Account of Default Mode Function by Markov Decision ProcessesPreprint
Dohmatob, E., Dumas, G., & Bzdok, D. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/148890 · Cited by 12
Wittkuhn, L., Krippner, L. M., Koch, C., & Schuck, N. W. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.02.478787 · Cited by 12
A place with a view: A first‐person perspective in the hippocampal memory space
Wirth, S. (2023) · Hippocampus · doi:10.1002/hipo.23537 · Cited by 11
Inflammation in Schizophrenia: The Role of Disordered Oscillatory Mechanisms
Speers, L. J., & Bilkey, D. K. (2025) · Cells · doi:10.3390/cells14090650 · Cited by 12
McLaughlin, A. E., & Redish, A. D. (2023) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2023.107734 · Cited by 13
Self-citationLearning to predict future locations with internally generated theta sequences
Parra-Barrero, E., & Cheng, S. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011101 · Cited by 12
Hippocampal Projections to the Ventral Striatum: From Spatial Memory to Motivated Behavior
van der Meer, M. A. A., Ito, R., Lansink, C. S., & Pennartz, C. M. A. (2014) · Springer eBooks · doi:10.1007/978-3-7091-1292-2_18 · Cited by 9
Neuronal sequences during theta rely on behavior-dependent spatial maps
Parra-Barrero, E., Diba, K., & Cheng, S. (2021) · eLife · doi:10.7554/elife.70296 · Cited by 12
Analysis of Hippocampal Memory Replay Using Neural Population Decoding
Kloosterman, F. (2011) · Neuromethods · doi:10.1007/7657_2011_8 · Cited by 12
Goal-Dependent Hippocampal Representations Facilitate Self-Control
Edelson, M. G., & Hare, T. A. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0951-22.2023 · Cited by 11
Mugan, U., Hoffman, S. L., & Redish, A. D. (2024) · Neuron · doi:10.1016/j.neuron.2024.10.004 · Cited by 13
Self-citationAntonov, G. K., & Dayan, P. (2025) · Nature Communications · doi:10.1038/s41467-025-56731-y · Cited by 10
Eichenbaum, H., MacDonald, C. J., & Kraus, B. J. (2014) · Springer eBooks · doi:10.1007/978-3-7091-1292-2_11 · Cited by 10
On memories, neural ensembles and mental flexibility
Pinotsis, D. A., Brincat, S. L., & Miller, E. K. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.068 · Cited by 10
Theta-band phase locking during encoding leads to coordinated entorhinal-hippocampal replay
Santos-Pata, D., Barry, C., & Ólafsdóttir, H. F. (2023) · Current Biology · doi:10.1016/j.cub.2023.09.011 · Cited by 10
Transient cell assembly networks encode stable spatial memories
Babichev, A., & Dabaghian, Y. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-03423-3 · Cited by 10
Multiscale Computation and Dynamic Attention in Biological and Artificial Intelligence
Badman, R. P., Hills, T. T., & Akaishi, R. (2020) · Brain Sciences · doi:10.3390/brainsci10060396 · Cited by 9
Mahr, J. B., & Fischer, B. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916221120425 · Cited by 12
Modeling Decision-Making Systems in Addiction
Kurth-Nelson, Z. L., & Redish, A. D. (2011) · Springer eBooks · doi:10.1007/978-1-4614-0751-5_6 · Cited by 12
Self-citationHuman Hippocampal Theta Oscillations during Movement without Visual Cues
Qasim, S. E., & Jacobs, J. (2016) · Neuron · doi:10.1016/j.neuron.2016.03.003 · Cited by 10
Dabaghian, Y. A. (2016) · Neural Computation · doi:10.1162/neco_a_00840 · Cited by 13
Inferred Model of the Prefrontal Cortex Activity Unveils Cell Assemblies and Memory ReplayPreprint
Tavoni, G., Ferrari, U., Battaglia, F. P., Cocco, S., & Monasson, R. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/028316 · Cited by 10
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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
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