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 701–800 of 1,000
Post-learning replay of hippocampal-striatal activity is biased by reward-prediction signals
Roscow, E. L., Howe, T., Lepora, N. F., & Jones, M. W. (2025) · Nature Communications · doi:10.1038/s41467-025-65354-2 · 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
Chen, L., Lin, X., Ye, Q., Nenadić, Z., Holmes, T. C., Nitz, D. A., & Xu, X. (2023) · iScience · doi:10.1016/j.isci.2023.106703 · Cited by 10
Liu, T., & Watson, B. O. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0233 · Cited by 10
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
Suddendorf, T., & Redshaw, J. (2017) · Springer eBooks · doi:10.1007/978-3-319-47829-6_1082-1 · Cited by 10
The roles of online and offline replay in planningPreprint
Eldar, E., Lièvre, G., Dayan, P., & Dolan, R. J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.26.009571 · Cited by 10
Correspondence Theory of Semantic Information
Miłkowski, M. (2021) · The British Journal for the Philosophy of Science · doi:10.1086/714804 · Cited by 10
A unified neural representation model for spatial and conceptual computations
Haga, T., Oseki, Y., & Fukai, T. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2413449122 · Cited by 9
Planning in the Brain: It's Not What You Think It Is
Mattar, M. G., & Daw, N. D. (2026) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-102124-015847 · Cited by 9
Proactive and reactive construction of memory-based preferences
Nicholas, J., Daw, N. D., & Shohamy, D. (2025) · Nature Communications · doi:10.1038/s41467-025-56183-4 · Cited by 9
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
Evolutionary Perspectives on Prospective Cognition
Thom, J. M., & Clayton, N. S. (2016) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780190241537.003.0014 · Cited by 9
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
Heller, H. C., Freeburn, A., Finn, D. P., & Heller, H. C. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.2636-20.2021 · Cited by 9
Extending neural systems for navigation to hunting behavior
Goodroe, S. C., & Spiers, H. J. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102545 · 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
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
Corballis, M. C. (2016) · Topoi · doi:10.1007/s11245-016-9418-8 · Cited by 9
Armelin, A., Heinemann, U., & de Hoz, L. (2016) · Hippocampus · doi:10.1002/hipo.22687 · Cited by 9
The Hippocampal Ensemble Code for Spatial Navigation and Episodic Memory
TAKAHASHI, S. Y. (2018) · Advances in neurobiology · doi:10.1007/978-3-319-94593-4_3 · Cited by 9
Cognitive representations of spatial location
Jeffery, K. J. (2018) · Brain and Neuroscience Advances · doi:10.1177/2398212818810686 · Cited by 9
Kurikawa, T., Mizuseki, K., & Fukai, T. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa343 · Cited by 9
Vallianatou, C.-A., Alonso, A., Aleman‐Zapata, A., Genzel, L., & Stella, F. (2021) · eNeuro · doi:10.1523/eneuro.0553-20.2021 · Cited by 9
Cazin, N., Scleidorovich, P., Weitzenfeld, A., & Dominey, P. F. (2020) · Biological Cybernetics · doi:10.1007/s00422-020-00820-2 · Cited by 9
Jeffery, K. J. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21077-8 · Cited by 9
The recursive grammar of mental time travel
Redshaw, J. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0412 · Cited by 8
Electrophysiological insights into Alzheimer's disease: A review of human and animal studies
Calvin, K., McNeela, A. M., Osse, A. M. L., Bhasin, G., Ridenour, M., Kinney, J. W., & Hyman, J. M. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105987 · Cited by 8
Human hippocampal ripples tune cortical responses based on predicted uncertainty
Frank, D., Moratti, S., Hellerstedt, R., Sarnthein, J., Li, N., Horn, A., Imbach, L., Stieglitz, L. H., Gil‐Nagel, A., Toledano, R., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02345-6 · Cited by 8
Sleep Research in the Era of AI
Göktepe-Kavis, P., Aellen, F. M., Alnes, S. L., & Tzovara, A. (2024) · Clinical and Translational Neuroscience · doi:10.3390/ctn8010013 · Cited by 8
Jin, S., Ha, H.-S., & Lee, I. (2024) · Science Advances · doi:10.1126/sciadv.adn0416 · Cited by 8
Mental Time Travel: A Retrospective
Redish, A. D. (2024) · Hippocampus · doi:10.1002/hipo.23661 · Cited by 8
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
Kanitscheider, I., & Fiete, I. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/231159 · Cited by 8
Memory for Problem Solving: Comparative Studies in Attention, Working and Long-term Memory
Bobrowicz, K. (2019) · Lund University Publications (Lund University) · doi:10.13140/rg.2.2.21981.77281 · Cited by 8
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
Ekman, M., Gennari, G., & de Lange, F. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.26.477907 · Cited by 8
Subspace communication in the hippocampal–retrosplenial axis
Gonzalez, J., Vöröslakos, M., Aykan, D., Soto, N., Nitzan, N., Swanson, R., Karadas, M., Chen, Z. S., & Buzsáki, G. (2026) · Nature · doi:10.1038/s41586-026-10481-z · Cited by 7
From skylight cues to magnetic fields: the toolkit of insect long-distance navigation
Goforth, K. M., & Merlin, C. (2025) · Journal of Comparative Physiology A · doi:10.1007/s00359-025-01770-5 · Cited by 7
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
Experience alters hippocampal and cortical network communication via a KIBRA-dependent mechanism
Quigley, L. D., Pendry, R., Mendoza, M. L., Pfeiffer, B. E., & Volk, L. J. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112662 · Cited by 7
Self-citationHippocampal Place Cell Sequences Are Impaired in a Rat Model of Fragile X Syndrome
Donahue, M. M., Robson, E., & Colgin, L. L. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1978-24.2025 · Cited by 7
Ghandour, K., Haga, T., Ohkawa, N., Fung, C. C. A., Nomoto, M., Fayed, M. R., Asai, H., Sato, M., Fukai, T., & Inokuchi, K. (2025) · Nature Communications · doi:10.1038/s41467-025-58860-w · Cited by 7
A limited positioning system for memory
Shapiro, M. L. (2015) · Hippocampus · doi:10.1002/hipo.22448 · Cited by 7
Robust path planning by propagating rhythmic spiking activity in a hippocampal network model
Zennir, M. N., Benmohammed, M., & Martinez, D. (2017) · Biologically Inspired Cognitive Architectures · doi:10.1016/j.bica.2017.02.001 · Cited by 7
Neurobiologically Inspired Self-Monitoring Systems
Chiba, A. A., & Krichmar, J. L. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2979233 · Cited by 7
High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents
Morales, L., Tomàs, D. P., Dalmau, J. O., de la Rocha, J., & Jercog, P. E. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.00064 · Cited by 7
Inference of affordances and active motor control in simulated agents
Scholz, F., Gumbsch, C., Otte, S., & Butz, M. V. (2022) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2022.881673 · Cited by 7
Gateway identity and spatial remapping in a combined grid and place cell attractor
Baumann, T., & Mallot, H. A. (2022) · Neural Networks · doi:10.1016/j.neunet.2022.10.019 · 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
Cristín, J., Méndez, V., & Campos, D. (2022) · Entropy · doi:10.3390/e24121819 · Cited by 7
Computational models of Idling brain activity for memory processing
Fukai, T. (2022) · Neuroscience Research · doi:10.1016/j.neures.2022.12.024 · Cited by 7
Trait anxiety is associated with reduced reward-related replay at rest
Yu, Q., Luo, Y., Dolan, R. J., Ou, J., Huang, C., Wang, H., Xiao, Z., Nour, M. M., & Liu, Y. (2025) · Nature Communications · doi:10.1038/s41467-025-63281-w · Cited by 7
Adaptive erasure of spurious sequences in sensory cortical circuits
Bernacchia, A., Fiser, J., Hennequin, G., & Lengyel, M. (2022) · Neuron · doi:10.1016/j.neuron.2022.03.006 · Cited by 7
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
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
Elements of Information Processing in Hippocampal Neuronal Activity: Space, Time, and Memory
Eichenbaum, H. (2017) · Springer eBooks · doi:10.1007/978-3-319-50406-3_3 · Cited by 7
Collective Search With Finite Perception: Transient Dynamics and Search Efficiency
Gosztolai, A., Carrillo, J. A., & Barahona, M. (2019) · Frontiers in Physics · doi:10.3389/fphy.2018.00153 · Cited by 7
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
The Reconfigurable Maze Provides Flexible, Scalable, Reproducible, and Repeatable Tests
Hoshino, S., Takahashi, R., Mieno, K., Tamatsu, Y., Azechi, H., Ide, K., & TAKAHASHI, S. Y. (2019) · iScience · doi:10.1016/j.isci.2019.100787 · Cited by 7
Crystal, J. D. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108564113.012 · Cited by 7
Is memory stored in the brain neurons and is magnetite involved?
Størmer, F. C. (2013) · Medical Hypotheses · doi:10.1016/j.mehy.2013.10.001 · Cited by 7
O’Callaghan, C., Shine, J. M., Hodges, J. R., Andrews‐Hanna, J. R., & Irish, M. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/194092 · Cited by 7
‘Memorcise’: implications for patient compliance and medication adherence
Loprinzi, P. D., Sng, E., & Frith, E. (2017) · The Physician and Sportsmedicine · doi:10.1080/00913847.2018.1402664 · Cited by 7
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
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 · Cited by 7
Metavestibular disorders and disorders of higher vestibular function
Zamergrad, M. V., & Levin, O. S. (2017) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro20171176211-15 · Cited by 6
Tamatsu, Y., Azechi, H., Takahashi, R., Sawatani, F., Ide, K., Fujiyama, F., & TAKAHASHI, S. Y. (2023) · iScience · doi:10.1016/j.isci.2023.108536 · Cited by 6
Garagnani, M. (2024) · Cognitive Neurodynamics · doi:10.1007/s11571-023-10061-1 · Cited by 6
Monkeys engage in visual simulation to solve complex problems
Ahuja, A., Rodriguez, N. Y., Ashok, A. K., Serre, T., Desrochers, T. M., & Sheinberg, D. L. (2024) · Current Biology · doi:10.1016/j.cub.2024.10.026 · Cited by 6
Lan, D. C. L., Hunt, L. T., & Summerfield, C. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003296 · Cited by 6
Nitz, D. A. (2014) · Nature Neuroscience · doi:10.1038/nn.3908 · Cited by 6
Artificial intelligence insights into hippocampal processing
Wirtshafter, H. S., & Wilson, M. A. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2022.1044659 · Cited by 6
ThermoMaze behavioral paradigm for assessing immobility-related brain events in rodents
Vöröslakos, M., Zhang, Y., McClain, K., Huszár, R., Rothstein, A., & Buzsáki, G. (2023) · eLife · doi:10.7554/elife.90347.3 · Cited by 6
Jarovi, J., Pilkiw, M., & Takehara‐Nishiuchi, K. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113492 · Cited by 6
A taxonomy of spatial navigation in mammals: Insights from computational modeling
Vijayabaskaran, S., Zeng, X., Ghazinouri, B., Wiskott, L., & Cheng, S. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106282 · Cited by 6
Simultaneous Localisation and Planning
Penny, W. D. (2014) · International Workshop on Cognitive Information Processing (CIP) · doi:10.1109/cip.2014.6844499 · Cited by 6
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
Chockanathan, U., & Padmanabhan, K. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15636 · Cited by 6
A goal pointer for a cognitive map in the orbitofrontal cortex
Basu, R., & Ito, H. (2023) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2023.102803 · Cited by 6
Spatial Survey Estimation Is Incremental and Relies on Directed Memory Structures
Meilinger, T., Strickrodt, M., & Bülthoff, H. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-96385-3_3 · Cited by 6
Preston, 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
Discovering the Brain’s Cognitive Map
Pfeiffer, B. E., & Foster, D. J. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4141 · Cited by 6
Self-citationDorsal 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
Models and Methods for Reinforcement Learning
Dayan, P., & Nakahara, H. (2018) · Wiley eBooks · doi:10.1002/9781119170174.epcn513 · Cited by 6
Single-neuron representations of spatial targets in humansPreprint
Tsitsiklis, M., Miller, J., 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. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/523753 · Cited by 6
A Cognition-Affect Integrated Model of EmotionPreprint
Mishra, S., & Tiwary, U. S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.02557 · Cited by 6
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
Chen, H. I., & van der Meer, M. A. A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.09.593332 · Cited by 6
Minimal Neural Network Conditions for Encoding Future Interactions
Diez‐Hermano, S., Aparicio‐Rodríguez, G., Manubens, P., Sánchez‐Jiménez, A., Calvo, C., Levčík, D., & Villacorta-Atienza, J. A. (2025) · International Journal of Neural Systems · doi:10.1142/s0129065725500169 · Cited by 5
Hippocampus supports multi-task reinforcement learning under partial observability
Pedamonti, D., Mohinta, S., Dimitrov, M. V., Malagon‐Vina, H., Ciocchi, S., & Costa, R. P. (2025) · Nature Communications · doi:10.1038/s41467-025-64591-9 · Cited by 5
Human hippocampal ripples prioritize model-based learning
Zhou, X., Wang, X., Hu, X., Wang, H., Zhang, J., Yu, Q., Xu, J., Xiao, Z., He, L., & Liu, Y. (2026) · Neuron · doi:10.1016/j.neuron.2026.03.020 · Cited by 5
He, L., Wang, X., Zhang, J., Xiao, Z., Hu, X., Schwartenbeck, P., Bakermans, J. J. W., Behrens, T. E. J., & Liu, Y. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02291-3 · Cited by 5
Neural sampling from cognitive maps enables goal-directed imagination and planning
Lin, H., Yang, Y., Zhao, R. J., Pezzulo, G., & Maass, W. (2026) · Nature Machine Intelligence · doi:10.1038/s42256-026-01254-4 · Cited by 5
A Brain-Inspired Model of Hippocampal Spatial Cognition Based on a Memory-Replay Mechanism
Xu, R., Ruan, X., & Huang, J. (2022) · Brain Sciences · doi:10.3390/brainsci12091176 · Cited by 5
Hippocampal and Medial Prefrontal Cortical Maps Represent Episodes and Rules in a Common Task Space
Srinivasan, A., Srinivasan, A., Riceberg, J. S., Goodman, M. R., Guise, K. G., & Shapiro, M. L. (2022) · Cell Reports · doi:10.1016/j.celrep.2023.113296 · Cited by 5
Validation of a rodent model of episodic memory replay
Sheridan, C. L., Panoz‐Brown, D., Shiffrin, R. M., & Crystal, J. D. (2024) · Learning & Behavior · doi:10.3758/s13420-024-00632-5 · Cited by 5
Looking deeper into the algorithms underlying human planning
Kuperwajs, I., Russek, E. M., Mattar, M. G., Ma, W. J., & Griffiths, T. L. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.06.006 · Cited by 5
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
