The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Hippocampal place-cell sequences depict future paths to remembered goals
Open accessAbstract
Effective navigation requires planning extended routes to remembered goal locations. Hippocampal place cells have been proposed to have a role in navigational planning, but direct evidence has been lacking. Here we show that before goal-directed navigation in an open arena, the rat hippocampus generates brief sequences encoding spatial trajectories strongly biased to progress from the subject's current location to a known goal location. These sequences predict immediate future behaviour, even in cases in which the specific combination of start and goal locations is novel. These results indicate that hippocampal sequence events characterized previously in linearly constrained environments as 'replay' are also capable of supporting a goal-directed, trajectory-finding mechanism, which identifies important places and relevant behavioural paths, at specific times when memory retrieval is required, and in a manner that could be used to control subsequent navigational behaviour.
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
“representations of rewarded spatial locations are preferentially reactivated in both wake and sleep states, 80,81,[142][143][144] although there are also findings of a bias of reactivations in the opposite direction.”
From Sleep—A brain-state serving systems memory consolidation (2023) · cites this paper as [144]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“both sleep and wake replay can represent knowledge about an environment and also share anticipatory features, such that they can e.g., include offline ''pre-activations'' of trajectories entailing visible but yet unexplored paths and locations.”
From Sleep—A brain-state serving systems memory consolidation (2023) · cites this paper as [144]
Experimental — accuracy not yet measuredIn 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 Pfeiffer and Foster, 2013
In 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 Pfeiffer and Foster, 2013
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 Pfeiffer and Foster, 2013
In the citing paper
“rats have been argued to show behavioural and neurological evidence for what appears to be future planning [172], or at least, the precursors to planning [89,173,174].”
From Is episodic-like memory like episodic memory? (2024) · cites this paper as [172]
In the citing paper
“pathways to remembered goals were ‘pre-played’ before they engaged in goal-directed navigation through an area, even when the specific routes were novel [172].”
From Is episodic-like memory like episodic memory? (2024) · cites this paper as [172]
In the citing paper
“This pre-play directly predicts future navigation behaviour, suggesting its role in future planning.”
From Is episodic-like memory like episodic memory? (2024) · cites this paper as [172]
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
(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
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 cognitive map
Passingham, R. E. (1979) · Neuroscience · doi:10.1016/0306-4522(79)90015-0 · Cited by 5,128
Episodic memory: from mind to brain
Tulving, E. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135114 · Cited by 4,950
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
Purposive Behavior in Animals and Men
Rodhom, C., & Tolman, E. C. (1950) · The American Journal of Psychology · doi:10.2307/1418946 · Cited by 2,455
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
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
Montague, P., Dayan, P., & Sejnowski, T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-05-01936.1996 · Cited by 2,066
Remembrance of places passed: Spatial memory in rats.
Olton, D. S., & Samuelson, R. J. (1976) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.2.2.97 · Cited by 1,993
Cited by
Sorted by citations
Items 201–300 of 1,000
Hippocampal Remapping and Its Entorhinal Origin
Latuske, P., Kornienko, O., Kohler, L., & Allen, K. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00253 · Cited by 102
Zielinski, M. C., Tang, W., & Jadhav, S. P. (2017) · Hippocampus · doi:10.1002/hipo.22821 · Cited by 102
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
Replay of Episodic Memories in the Rat
Panoz-Brown, D., Iyer, V., Carey, L. M., Sluka, C. M., Rajic, G., Kestenman, J., Gentry, M., Brotheridge, S., Somekh, I., Corbin, H. E., et al. (2018) · Current Biology · doi:10.1016/j.cub.2018.04.006 · Cited by 101
Yoshida, K., Drew, M. R., Mimura, M., & Tanaka, K. F. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0376-5 · Cited by 101
The role of the hippocampus in the consolidation of emotional memories during sleep
Pronier, É., Morici, J. F., & Girardeau, G. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.08.003 · Cited by 101
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
Jacobs, L. F., & Menzel, R. (2014) · Movement Ecology · doi:10.1186/2051-3933-2-3 · 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
Robust information routing by dorsal subiculum neurons
Kitanishi, T., Umaba, R., & Mizuseki, K. (2021) · Science Advances · doi:10.1126/sciadv.abf1913 · Cited by 100
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
Hippocampal Sequences During Exploration: Mechanisms and Functions
Drieu, C., & Zugaro, M. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00232 · Cited by 99
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
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
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
Still searching for the engram
Eichenbaum, H. (2016) · Learning & Behavior · doi:10.3758/s13420-016-0218-1 · Cited by 96
Selection 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
Solving the detour problem in navigation: a model of prefrontal and hippocampal interactions
Spiers, H. J., & Gilbert, S. J. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00125 · Cited by 94
Subiculum neurons map the current axis of travel
Olson, J. M., Tongprasearth, K., & Nitz, D. A. (2016) · Nature Neuroscience · doi:10.1038/nn.4464 · Cited by 94
An Evolutionary Perspective on Why Food Overconsumption Impairs Cognition
Mattson, M. P. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.01.003 · Cited by 94
Miniature microscopes for large-scale imaging of neuronal activity in freely behaving rodents
Ziv, Y., & Ghosh, K. K. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.04.001 · Cited by 93
Decoding 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
Schmidt, B., Duin, A. A., & Redish, A. D. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00793.2018 · Cited by 92
Billig, A. J., Lad, M., Sedley, W., & Griffiths, T. D. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102326 · Cited by 92
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
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
Insensitivity of place cells to the value of spatial goals in a two-choice flexible navigation task
Duvelle, É., Grieves, R. M., Hok, V., Poucet, B., Arleo, A., Jeffery, K. J., & Save, É. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1578-18.2018 · Cited by 90
Retrosplenial 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
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
A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples
Jahnke, S., Timme, M., & Memmesheimer, R.-M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3977-14.2015 · Cited by 90
Hippocampal replay of experience at real-world speeds
Denovellis, E. L., Gillespie, A. K., Coulter, M. E., Sosa, M., Chung, J. E., Eden, U. T., & Frank, L. M. (2021) · eLife · doi:10.7554/elife.64505 · Cited by 89
O’Callaghan, C., Shine, J. M., Hodges, J. R., Andrews‐Hanna, J. R., & Irish, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818523116 · Cited by 88
Learning Universal Computations with Spikes
Thalmeier, D., Uhlmann, M., Kappen, H. J., & Memmesheimer, R.-M. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004895 · Cited by 88
Major diencephalic inputs to the hippocampus
Vertes, R. P. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.03.008 · Cited by 88
An emergent neural coactivity code for dynamic memory
El-Gaby, M., Reeve, H. M., Lopes‐dos‐Santos, V., Campo-Urriza, N., Perestenko, P. V., Morley, A., Strickland, L., Lukacs, I. P., Paulsen, O., & Dupret, D. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00820-w · Cited by 87
Promises and challenges of human computational ethology
Mobbs, D., Wise, T., Suthana, N., Guzman, N., Kriegeskorte, N., & Leibo, J. Z. (2021) · Neuron · doi:10.1016/j.neuron.2021.05.021 · Cited by 86
Howland, J. G., Ito, R., Lapish, C. C., & Villaruel, F. R. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104569 · Cited by 85
Huys, Q. J. M., Guitart‐Masip, M., Dolan, R. J., & Dayan, P. (2015) · Clinical Psychological Science · doi:10.1177/2167702614562040 · Cited by 85
Neurophysiology of Remembering
Buzsáki, G., McKenzie, S., & Davachi, L. (2022) · Annual Review of Psychology · doi:10.1146/annurev-psych-021721-110002 · Cited by 84
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
Hippocampal coupling with cortical and subcortical structures in the context of memory consolidation
Skelin, I., Kilianski, S., & McNaughton, B. L. (2018) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2018.04.004 · Cited by 83
Multiple modes of hippocampal–prefrontal interactions in memory-guided behavior
Shin, J. D., & Jadhav, S. P. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.07.015 · Cited by 83
Prioritized experience replays on a hippocampal predictive map for learning
Igata, H., Ikegaya, Y., & Sasaki, T. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2011266118 · Cited by 82
Sharp Wave Ripples during Visual Exploration in the Primate Hippocampus
Leonard, T. K., Mikkila, J. M., Eskandar, E. N., Gerrard, J. L., Kaping, D., Patel, S. R., Womelsdorf, T., & Hoffman, K. L. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0864-15.2015 · Cited by 82
Memory, modelling and Marr: a commentary on Marr (1971) ‘Simple memory: a theory of archicortex’
Willshaw, D. J., Dayan, P., & Morris, R. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0383 · Cited by 81
Electrophysiological Signatures of Spatial Boundaries in the Human Subiculum
Lee, S. A., Miller, J. F., Watrous, A. J., Sperling, M. R., Sharan, A. D., Worrell, G. A., Berry, B. M., Jobst, B. C., Davis, K. A., Gross, R. E., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3216-17.2018 · Cited by 81
Hahamy, A., Dubossarsky, H., & Behrens, T. E. J. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01331-6 · Cited by 81
The Interplay of Hippocampus and Ventromedial Prefrontal Cortex in Memory-Based Decision Making
Weilbächer, R. A., & Gluth, S. (2016) · Brain Sciences · doi:10.3390/brainsci7010004 · Cited by 80
CA2: A Highly Connected Intrahippocampal Relay
Middleton, S. J., & McHugh, T. J. (2019) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080719-100343 · Cited by 80
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
The Body Model Theory of Somatosensory Cortex
Brecht, M. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.018 · Cited by 79
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
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
Retailleau, A., & Morris, G. (2018) · Current Biology · doi:10.1016/j.cub.2018.01.081 · Cited by 77
Prospection and natural selection
Suddendorf, T., Bulley, A., & Miloyan, B. H. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.01.019 · Cited by 77
O’Callaghan, C., Walpola, I. C., & Shine, J. M. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0699 · Cited by 77
Wittkuhn, L., & Schuck, N. W. (2021) · Nature Communications · doi:10.1038/s41467-021-21970-2 · Cited by 77
On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures
Antonelo, E. A., & Schrauwen, B. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2323247 · Cited by 77
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
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
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
Single-Neuron Representations of Spatial Targets in Humans
Tsitsiklis, M., Miller, J. F., Qasim, S. E., Inman, C. S., Gross, R. E., Willie, J. T., Smith, E. H., Sheth, S. A., Schevon, C. A., Sperling, M. R., et al. (2020) · Current Biology · doi:10.1016/j.cub.2019.11.048 · Cited by 75
The roles of online and offline replay in planning
Eldar, E., Lièvre, G., Dayan, P., & Dolan, R. J. (2020) · eLife · doi:10.7554/elife.56911 · Cited by 75
A recurrent network model of planning explains hippocampal replay and human behavior
Jensen, K. T., Hennequin, G., & Mattar, M. G. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01675-7 · Cited by 75
Constructing future behavior in the hippocampal formation through composition and replay
Bakermans, J. J. W., Warren, J., Whittington, J. C. R., & Behrens, T. E. J. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01908-3 · Cited by 75
The Medial Septum as a Potential Target for Treating Brain Disorders Associated With Oscillopathies
Takeuchi, Y., Nagy, A. J., Barcsai, L., Li, Q., Ohsawa, M., Mizuseki, K., & Berényi, A. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.701080 · Cited by 74
Stoianov, I. P., Maisto, D., & Pezzulo, G. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102329 · Cited by 74
Expertise increases planning depth in human gameplay
van Opheusden, B., Kuperwajs, I., Galbiati, G., Bnaya, Z., Li, Y., & Ma, W. J. (2023) · Nature · doi:10.1038/s41586-023-06124-2 · Cited by 74
Hippocampal 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
Ecker, A., Bagi, B., Vértes, E., Steinbach-Németh, O., Karlócai, M. R., Papp, O. I., Miklós, I., Hájos, N., Freund, T. F., Gulyás, A. I., et al. (2022) · eLife · doi:10.7554/elife.71850 · Cited by 73
Probing variability in a cognitive map using manifold inference from neural dynamicsPreprint
Low, R. J., Lewallen, S., Aronov, D., Nevers, R., & Tank, D. W. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/418939 · Cited by 73
Place field repetition and spatial learning in a multicompartment environment
Grieves, R. M., Jenkins, B. W., Harland, B. C., Wood, E. R., & Dudchenko, P. A. (2016) · Hippocampus · doi:10.1002/hipo.22496 · Cited by 72
Todd, P. M., & Hills, T. T. (2020) · Current Directions in Psychological Science · doi:10.1177/0963721420915861 · Cited by 72
Mesoscopic Neural Representations in Spatial Navigation
Kunz, L., Maidenbaum, S., Chen, D., Wang, L., Jacobs, J., & Axmacher, N. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.04.011 · Cited by 71
Hippocampal spatial representations exhibit a hyperbolic geometry that expands with experience
Zhang, H., Rich, P. D., Lee, A. K., & Sharpee, T. O. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01212-4 · Cited by 71
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
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
Middleton, S. J., Kneller Emily, M., Chen, S., Ogiwara, I., Montal, M., Yamakawa, K., & McHugh, T. J. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0163-8 · Cited by 70
Trajectory-modulated hippocampal neurons persist throughout memory-guided navigation
Kinsky, N. R., Mau, W., Sullivan, D. W., Levy, S. J., Ruesch, E. A., & Hasselmo, M. E. (2020) · Nature Communications · doi:10.1038/s41467-020-16226-4 · Cited by 70
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
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
Linking hippocampal multiplexed tuning, Hebbian plasticity and navigation
Moore, J. J., Cushman, J. D., Acharya, L., Popeney, B., & Mehta, M. R. (2021) · Nature · doi:10.1038/s41586-021-03989-z · Cited by 69
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
Tang, W., & Jadhav, S. P. (2018) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2018.01.002 · 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
Does metarepresentation make human mental time travel unique?
Redshaw, J. (2014) · WIREs Cognitive Science · doi:10.1002/wcs.1308 · Cited by 68
How our understanding of memory replay evolves
Chen, Z. S., & Wilson, M. A. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00454.2022 · Cited by 68
Ewell, L. A., Fischer, K. B., Leibold, C., Leutgeb, S., & Leutgeb, J. K. (2019) · eLife · doi:10.7554/elife.42148 · Cited by 68
Ma, X., Zhang, Y., Wang, L., Li, N., Barkai, E., Zhang, X., Lin, L., & Xu, J. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1568-19.2020 · Cited by 68
New Caledonian crows plan for specific future tool use
Boeckle, M., Schiestl, M., Frohnwieser, A., Gruber, R., Miller, R., Suddendorf, T., Gray, R. D., Taylor, A. H., & Clayton, N. S. (2020) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2020.1490 · Cited by 66
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 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
Probing subthreshold dynamics of hippocampal neurons by pulsed optogenetics
Valero, M., Zutshi, I., Yoon, E., & Buzsáki, G. (2022) · Science · doi:10.1126/science.abm1891 · Cited by 66
Dudai, Y., & Morris, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.039 · Cited by 66
Temporally delayed linear modelling (TDLM) measures replay in both animals and humans
Liu, Y., Dolan, R. J., Higgins, C., Penagos, H., Woolrich, M. W., Ólafsdóttir, H. F., Barry, C., Kurth-Nelson, Z. L., & Behrens, T. E. J. (2021) · eLife · doi:10.7554/elife.66917 · Cited by 65
Neural learning rules for generating flexible predictions and computing the successor representation
Fang, C., Aronov, D., Abbott, L. F., & Mackevicius, E. L. (2022) · eLife · doi:10.7554/elife.80680 · Cited by 65
Sharp-Wave Ripples in Primates Are Enhanced near Remembered Visual Objects
Leonard, T. K., & Hoffman, K. L. (2016) · Current Biology · doi:10.1016/j.cub.2016.11.027 · Cited by 65
Adaptive Robot Path Planning Using a Spiking Neuron Algorithm With Axonal Delays
Hwu, T. J., Wang, A. Y., Oros, N., & Krichmar, J. L. (2017) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2017.2655539 · Cited by 65
Generative Predictive Codes by Multiplexed Hippocampal Neuronal Tuplets
Liu, K., Sibille, J., & Dragoi, G. (2018) · Neuron · doi:10.1016/j.neuron.2018.07.047 · Cited by 63
Ripple-locked coactivity of stimulus-specific neurons and human associative memory
Kunz, L., Staresina, B. P., Reinacher, P. C., Brandt, A., Guth, T. A., Schulze‐Bonhage, A., & Jacobs, J. (2024) · Nature Neuroscience · doi:10.1038/s41593-023-01550-x · Cited by 63
Metadata
- Authors
- Pfeiffer, B. E., & Foster, D. J.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Foster, David J.
- Venue
- Nature
- Published
- 2013-04-17
- Volume
- 497
- Issue
- 7447
- Pages
- 74-79
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3990408
- OpenAlex
- W1975958074
- Cited by
- 1,216
- References
- 53
- Citations by year
- 2026: 67 · 2025: 111 · 2024: 78 · 2023: 88 · 2022: 89 · 2021: 96 · 2020: 107 · 2019: 121 · 2018: 103 · 2017: 106 · 2016: 86 · 2015: 73 · 2014: 64 · 2013: 26
- FWCI
- 45.52
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of Mental Health (MH085823, R01MH085823)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- place cells, goal-directed navigation, memory replay, rats, memory retrieval, spatial memory
- MeSH terms
- Animals, Decision Making, Goals, Hippocampus, Locomotion, Male, Memory, Probability, Rats, Long-Evans, 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
