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 201–300 of 999
Mattar, M. G., & Lengyel, M. (2022) · Neuron · doi:10.1016/j.neuron.2021.12.018 · Cited by 120
Wikenheiser, A. M., Marrero-Garcia, Y., & Schoenbaum, G. M. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.003 · Cited by 109
Formalizing planning and information search in naturalistic decision-making
Hunt, L. T., Daw, N. D., Kaanders, P., MacIver, M. A., Mugan, U., Procyk, E., Redish, A. D., Russo, E., Scholl, J., Stachenfeld, K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00866-w · Cited by 115
Self-citationReplay in Deep Learning: Current Approaches and Missing Biological Elements
Hayes, T. L., Krishnan, G. P., Bazhenov, M., Siegelmann, H. T., Sejnowski, T. J., & Kanan, C. (2021) · Neural Computation · doi:10.1162/neco_a_01433 · Cited by 106
Neural Basis of Strategic Decision Making
Lee, D., & Seo, H. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.11.002 · Cited by 114
Is hippocampal remapping the physiological basis for context
Kubie, J. L., Levy, E. R. J., & Fenton, A. A. (2020) · Hippocampus · doi:10.1002/hipo.23160 · Cited by 94
Xu, H., Baracskay, P., O’Neill, J., & Csicsvari, J. (2018) · Neuron · doi:10.1016/j.neuron.2018.11.015 · Cited by 110
Neurodynamics of mental exploration
Hopfield, J. J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913991107 · Cited by 96
Wirt, R. A., & Hyman, J. M. (2017) · Brain Sciences · doi:10.3390/brainsci7040043 · Cited by 109
Generative replay underlies compositional inference in the hippocampal-prefrontal circuit
Schwartenbeck, P., Baram, A. B., Liu, Y., Mark, S., Müller, T., Dolan, R. J., Botvinick, M., Kurth-Nelson, Z. L., & Behrens, T. E. J. (2023) · Cell · doi:10.1016/j.cell.2023.09.004 · Cited by 129
Hippocampo-cortical circuits for selective memory encoding, routing, and replay
Harvey, R. E., Robinson, H. L., Liu, C., Oliva, A., & Fernandez-Ruiz, A. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.015 · Cited by 101
The Road Not Taken: Neural Correlates of Decision Making in Orbitofrontal Cortex
Steiner, A. P., & Redish, A. D. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00131 · Cited by 104
Self-citationRetroactive and graded prioritization of memory by reward
Braun, E. K., Wimmer, G. E., & Shohamy, D. (2018) · Nature Communications · doi:10.1038/s41467-018-07280-0 · Cited by 112
Multiple Systems for Value Learning
Daw, N. D., & O’Doherty, J. P. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00021-8 · Cited by 113
Decoding cognition from spontaneous neural activity
Liu, Y., Nour, M. M., Schuck, N. W., Behrens, T. E. J., & Dolan, R. J. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00570-z · Cited by 107
A theoretical account of cognitive effects in delay discounting
Kurth-Nelson, Z. L., Bickel, W. K., & Redish, A. D. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08058.x · Cited by 101
Self-citationSelection of preconfigured cell assemblies for representation of novel spatial experiences
Dragoi, G., & Tonegawa, S. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0522 · Cited by 95
Internally generated hippocampal sequences as a vantage point to probe future‐oriented cognition
Pezzulo, G., Kemere, C. T., & van der Meer, M. A. A. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13329 · Cited by 98
The Complex Nature of Hippocampal-Striatal Interactions in Spatial Navigation
Goodroe, S. C., Starnes, J., & Brown, T. I. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00250 · Cited by 102
Replay and compositional computation
Kurth-Nelson, Z. L., Behrens, T. E. J., Wayne, G., Miller, K. J., Luettgau, L., Dolan, R. J., Liu, Y., & Schwartenbeck, P. (2023) · Neuron · doi:10.1016/j.neuron.2022.12.028 · Cited by 100
Episodic memory retrieval success is associated with rapid replay of episode content
Wimmer, G. E., Liu, Y., Vehar, N., Behrens, T. E. J., & Dolan, R. J. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0649-z · Cited by 100
Multiple memory systems as substrates for multiple decision systems
Doll, B. B., Shohamy, D., & Daw, N. D. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.04.014 · Cited by 101
Theta phase precession of grid and place cell firing in open environments
Jeewajee, A., Barry, C., Douchamps, V., Manson, D., Lever, C., & Burgess, N. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0532 · Cited by 101
Investigating habits: strategies, technologies and models
Smith, K. S., & Graybiel, A. M. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00039 · Cited by 102
Short‐term plasticity based network model of place cells dynamics
Romani, S., & Tsodyks, M. V. (2014) · Hippocampus · doi:10.1002/hipo.22355 · Cited by 83
Still searching for the engram
Eichenbaum, H. (2016) · Learning & Behavior · doi:10.3758/s13420-016-0218-1 · Cited by 96
Zielinski, M. C., Tang, W., & Jadhav, S. P. (2017) · Hippocampus · doi:10.1002/hipo.22821 · Cited by 102
Cooperative interactions between hippocampal and striatal systems support flexible navigation
Brown, T. I., Ross, R. S., Tobyne, S. M., & Stern, C. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.046 · Cited by 90
Bornstein, A. M., & Daw, N. D. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003387 · Cited by 96
The role of learning-related dopamine signals in addiction vulnerability
Huys, Q. J. M., Tobler, P. N., Hasler, G., & Flagel, S. B. (2014) · Progress in brain research · doi:10.1016/b978-0-444-63425-2.00003-9 · Cited by 92
Schmidt, B., Duin, A. A., & Redish, A. D. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00793.2018 · Cited by 92
Self-citationRetrosplenial Cortical Representations of Space and Future Goal Locations Develop with Learning
Miller, A. M. P., Mau, W., & Smith, D. M. (2019) · Current Biology · doi:10.1016/j.cub.2019.05.034 · Cited by 90
Bonasia, K., Blommesteyn, J., & Moscovitch, M. (2016) · Hippocampus · doi:10.1002/hipo.22539 · Cited by 84
Memory integration constructs maps of space, time, and concepts
Morton, N. W., Sherrill, K. R., & Preston, A. R. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.08.007 · Cited by 98
Schad, D. J., Obst, E., Sebold, M., Garbusow, M., Bernhardt, N. R., Javadi, A., Zimmermann, U. S., Smolka, M. N., Heinz, A., Rapp, M. A., et al. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01450 · Cited by 92
Nitz, D. A. (2008) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2008.08.007 · Cited by 85
Powell, N. J., & Redish, A. D. (2016) · Nature Communications · doi:10.1038/ncomms12830 · Cited by 91
Self-citationDecoding the cognitive map: ensemble hippocampal sequences and decision making
Wikenheiser, A. M., & Redish, A. D. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.002 · Cited by 93
Self-citationThe Challenge of Understanding the Brain: Where We Stand in 2015
Lisman, J. E. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.032 · Cited by 92
Virtual reality systems for rodents
Thurley, K., & Ayaz, A. (2016) · Current Zoology · doi:10.1093/cz/zow070 · Cited by 90
Cutsuridis, V., & Hasselmo, M. E. (2012) · Hippocampus · doi:10.1002/hipo.21002 · Cited by 85
Spatial Learning and Action Planning in a Prefrontal Cortical Network Model
Martinet, L., Sheynikhovich, D., Benchenane, K., & Arleo, A. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002045 · Cited by 84
Huys, Q. J. M., Guitart‐Masip, M., Dolan, R. J., & Dayan, P. (2015) · Clinical Psychological Science · doi:10.1177/2167702614562040 · Cited by 85
A computational model for preplay in the hippocampus
Azizi, A. H., Wiskott, L., & Cheng, S. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00161 · Cited by 78
Imagination as a fundamental function of the hippocampus
Comrie, A. E., Frank, L. M., & Kay, K. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2021.0336 · Cited by 91
Dual credit assignment processes underlie dopamine signals in a complex spatial environment
Krausz, T. A., Comrie, A. E., Kahn, A. E., Frank, L. M., Daw, N. D., & Berke, J. D. (2023) · Neuron · doi:10.1016/j.neuron.2023.07.017 · Cited by 80
Fast gamma rhythms in the hippocampus promote encoding of novel object-place pairings
Zheng, C., Bieri, K. W., Hwaun, E., & Colgin, L. L. (2016) · eNeuro · doi:10.1523/eneuro.0001-16.2016 · Cited by 79
Hippocampal Neural Correlates for Values of Experienced Events
Lee, H., Ghim, J.-W., Kim, H., Lee, D., & Jung, M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2806-12.2012 · Cited by 80
All My Circuits: Using Multiple Electrodes to Understand Functioning Neural Networks
Miller, E. K., & Wilson, M. A. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.033 · Cited by 76
Robot navigation as hierarchical active inference
Çatal, O., Verbelen, T., de Maele, T. V., Dhoedt, B., & Safron, A. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.05.010 · Cited by 80
A cellular basis for mapping behavioural structure
El-Gaby, M., Harris, A. L., Whittington, J. C. R., Dorrell, W., Bhomick, A., Walton, M. E., Akam, T., & Behrens, T. E. J. (2024) · Nature · doi:10.1038/s41586-024-08145-x · Cited by 98
Wang, J. X., Cohen, N. J., & Voss, J. L. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.04.003 · Cited by 75
Greater running speeds result in altered hippocampal phase sequence dynamics
Maurer, A. P., Burke, S. N., Lipa, P., Skaggs, W. E., & Barnes, C. A. (2011) · Hippocampus · doi:10.1002/hipo.20936 · Cited by 79
Wittkuhn, L., & Schuck, N. W. (2021) · Nature Communications · doi:10.1038/s41467-021-21970-2 · Cited by 77
Brown, T. I., & Stern, C. E. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht041 · Cited by 81
Sensorimotor Cognition and Natural Language Syntax
Knott, A. (2012) · The MIT Press eBooks · doi:10.7551/mitpress/8938.001.0001 · Cited by 76
Speed of time-compressed forward replay flexibly changes in human episodic memory
Michelmann, S., Staresina, B. P., Bowman, H., & Hanslmayr, S. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0491-4 · Cited by 88
Schmidt, B., Papale, A. E., Redish, A. D., & Markus, E. J. (2013) · Learning & Memory · doi:10.1101/lm.028753.112 · Cited by 76
Self-citationContribution of hippocampal region CA3 to consciousness and schizophrenic hallucinations
Behrendt, R. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.12.009 · Cited by 75
Rapid, parallel path planning by propagating wavefronts of spiking neural activity
Ponulak, F., & Hopfield, J. J. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00098 · Cited by 76
Active Inference, epistemic value, and vicarious trial and errorPreprint
Pezzulo, G., Cartoni, E., Rigoli, F., Pio‐Lopez, L., & Friston, K. J. (2016) · Learning & Memory · doi:10.1101/lm.041780.116 · Cited by 78
Action simulation in the human brain: Twelve questions
Pezzulo, G., Candidi, M., Dindo, H., & Barca, L. (2013) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2013.01.004 · Cited by 78
Temporal structure in associative retrieval
Kurth-Nelson, Z. L., Barnes, G. R., Sejdinović, D., Dolan, R. J., & Dayan, P. (2015) · eLife · doi:10.7554/elife.04919 · Cited by 77
Integrating early results on ventral striatal gamma oscillations in the rat
van der Meer, M. A. A. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00300 · Cited by 71
Hippocampal Theta-Gamma Coupling Reflects State-Dependent Information Processing in Decision Making
Amemiya, S., & Redish, A. D. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.091 · Cited by 68
Self-citationThe execution of planned detours by spider-eating predators
Cross, F. R., & Jackson, R. R. (2016) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.189 · Cited by 70
A hippocampo-cerebellar centred network for the learning and execution of sequence-based navigation
Babayan, B. M., Watilliaux, A., Viejo, G., Paradis, A.-L., Girard, B., & Rondi-Reig, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-18004-7 · Cited by 70
Phase precession: a neural code underlying episodic memory?
Jaramillo, J., & Kempter, R. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.02.006 · Cited by 63
Spatial Representations in the Human Brain
Herweg, N. A., & Kahana, M. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00297 · Cited by 77
Stoianov, I. P., Maisto, D., & Pezzulo, G. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102329 · Cited by 74
Looking for cognition in the structure within the noise
Johnson, A. C., Fenton, A. A., Kentros, C. G., & Redish, A. D. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.11.005 · Cited by 67
Self-citationHippocampal place cell sequences differ during correct and error trials in a spatial memory task
Zheng, C., Hwaun, E., Loza, C. A., & Colgin, L. L. (2021) · Nature Communications · doi:10.1038/s41467-021-23765-x · Cited by 73
Addiction as vulnerabilities in the decision process
Redish, A. D., Jensen, S., & Johnson, A. C. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x08004986 · Cited by 69
Self-citationExpectancies in decision making, reinforcement learning, and ventral striatum
van der Meer, M. A. A. (2010) · Frontiers in Neuroscience · doi:10.3389/neuro.01.006.2010 · Cited by 72
Forward and Backward Inference in Spatial Cognition
Penny, W. D., Zeidman, P., & Burgess, N. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003383 · Cited by 70
Rusu, S. I., & Pennartz, C. M. A. (2019) · Hippocampus · doi:10.1002/hipo.23167 · Cited by 63
Flexible modulation of sequence generation in the entorhinal–hippocampal system
McNamee, D., Stachenfeld, K., Botvinick, M., & Gershman, S. J. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00831-7 · Cited by 69
Vandaele, Y., Cantin, L., Serre, F., Vouillac‐Mendoza, C., & Ahmed, S. H. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.195 · Cited by 63
A biologically inspired meta-control navigation system for the Psikharpax rat robot
Caluwaerts, K., Staffa, M., N’Guyen, S., Grand, C., Dollé, L., Favre-Félix, A., Girard, B., & Khamassi, M. (2012) · Bioinspiration & Biomimetics · doi:10.1088/1748-3182/7/2/025009 · Cited by 71
Coordinating different representations in the hippocampus
Kelemen, E., & Fenton, A. A. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.12.011 · Cited by 69
Three brain states in the hippocampus and cortex
Kay, K., & Frank, L. M. (2018) · Hippocampus · doi:10.1002/hipo.22956 · Cited by 69
Function of local circuits in the hippocampal dentate gyrus-CA3 system
Senzai, Y. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.11.003 · Cited by 71
The evolving view of replay and its functions in wake and sleep
Findlay, G., Tononi, G., & Cirelli, C. (2020) · SLEEP Advances · doi:10.1093/sleepadvances/zpab002 · Cited by 66
Volitional activation of remote place representations with a hippocampal brain–machine interface
Lai, C., Tanaka, S., Harris, T. D., & Lee, A. K. (2023) · Science · doi:10.1126/science.adh5206 · Cited by 70
Radwan, B., Dvorak, D., & Fenton, A. A. (2016) · Neurobiology of Disease · doi:10.1016/j.nbd.2016.01.003 · Cited by 63
Rapid learning of predictive maps with STDP and theta phase precession
George, T. M., de Cothi, W., Stachenfeld, K., & Barry, C. (2023) · eLife · doi:10.7554/elife.80663 · Cited by 78
Increase in hippocampal theta oscillations during spatial decision making
Belchior, H., Lopes‐dos‐Santos, V., Tort, A. B. L., & Ribeiro, S. T. G. (2014) · Hippocampus · doi:10.1002/hipo.22260 · Cited by 66
The hippocampus and exploration: dynamically evolving behavior and neural representations
Johnson, A., Varberg, Z., Benhardus, J., Maahs, A., & Schrater, P. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00216 · Cited by 61
Self-citationThe grid code for ordered experience
Rueckemann, J. W., Sosa, M., Giocomo, L. M., & Buffalo, E. A. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00499-9 · Cited by 69
A scale-free systems theory of motivation and addiction
Chambers, R. A., Bickel, W. K., & Potenza, M. N. (2007) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.04.005 · Cited by 63
Grid Cells, Place Cells, and Geodesic Generalization for Spatial Reinforcement Learning
Gustafson, N. J., & Daw, N. D. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002235 · Cited by 67
Mashhoori, A., Hashemnia, S., McNaughton, B. L., Euston, D. R., & Gruber, A. J. (2018) · eLife · doi:10.7554/elife.29793 · Cited by 63
Maffei, G., Santos-Pata, D., Marcos, E., Sánchez-Fibla, M., & Verschure, P. F. M. J. (2015) · Neural Networks · doi:10.1016/j.neunet.2015.10.004 · Cited by 60
Five Decades of Hippocampal Place Cells and EEG Rhythms in Behaving Rats
Colgin, L. L. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0741-19.2019 · Cited by 62
Left–right-alternating theta sweeps in entorhinal–hippocampal maps of space
Vollan, A. Z., Gardner, R. J., Moser, M., & Moser, E. I. (2025) · Nature · doi:10.1038/s41586-024-08527-1 · Cited by 89
Donnarumma, F., Maisto, D., & Pezzulo, G. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004864 · Cited by 63
Separation or binding? Role of the dentate gyrus in hippocampal mnemonic processing
Lee, J. W., & Jung, M. W. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.049 · Cited by 58
Entorhinal cortex receptive fields are modulated by spatial attention, even without movement
Wilming, N., Peter König, B., König, S. D., & Buffalo, E. A. (2018) · eLife · doi:10.7554/elife.31745 · Cited by 62
Effects of pharmacological manipulations of NMDA-receptors on deliberation in the Multiple-T task
Blumenthal, A., Steiner, A. P., Seeland, K. D., & Redish, A. D. (2011) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2011.01.011 · Cited by 61
Self-citationComputational models of drug use and addiction: A review.
Mollick, J., & Hedy Kober, A. (2020) · Journal of Abnormal Psychology · doi:10.1037/abn0000503 · Cited by 64
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
