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 301–400 of 999
Computational validity: using computation to translate behaviours across species
Redish, A. D., Kepecs, Á., Anderson, L. M., Calvin, O. L., Grissom, N. M., Haynos, A. F., Heilbronner, S. R., Herman, A. B., Jacob, S., Ma, S., et al. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0525 · Cited by 63
Self-citationAlbani, S. H., McHail, D. G., & Dumas, T. C. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.04.009 · Cited by 63
Mental simulation of routes during navigation involves adaptive temporal compression
Arnold, A. E. G. F., Iaria, G., & Ekstrom, A. D. (2016) · Cognition · doi:10.1016/j.cognition.2016.08.009 · Cited by 58
Predicting the past, remembering the future
Gershman, S. J. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.05.025 · Cited by 64
Episodic memory and event construction in aging and amnesia
Romero, K., & Moscovitch, M. (2012) · Journal of Memory and Language · doi:10.1016/j.jml.2012.05.002 · Cited by 58
Stott, J. J., & Redish, A. D. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0472 · Cited by 64
Self-citationSabariego, M., Schonwald, A., Boublil, B. L., Zimmerman, D. T., Ahmadi, S., Gonzalez, N., Leibold, C., Clark, R. E., Leutgeb, J. K., & Leutgeb, S. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.005 · Cited by 60
Learning of distant state predictions by the orbitofrontal cortex in humans
Wimmer, G. E., & Büchel, C. (2019) · Nature Communications · doi:10.1038/s41467-019-10597-z · Cited by 60
Hao, Z. Y., Zhong, Y., Ma, Z. J., Xu, H. Z., Kong, J. Y., Wu, Z., Wu, Y., Li, J., Lu, X., Zhang, N., et al. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02490-7 · Cited by 54
Railton, P. (2017) · Emotion Review · doi:10.1177/1754073916670021 · Cited by 58
Fries, P. (2023) · Neuron · doi:10.1016/j.neuron.2023.02.015 · Cited by 57
How does the hippocampus shape decisions?
Palombo, D. J., Keane, M. M., & Verfaellie, M. H. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.08.005 · Cited by 58
Fouquet, C., Babayan, B. M., Watilliaux, A., Bontempi, B., Tobin, C., & Rondi‐Reig, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067232 · Cited by 69
Medial Temporal Lobe Roles in Human Path Integration
Yamamoto, N., Philbeck, J. W., Woods, A. J., Gajewski, D. A., Arthur, J. C., Potolicchio, S. J., Levy, L., & Caputy, A. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096583 · Cited by 58
Recurrent Spiking Networks Solve Planning Tasks
Rueckert, E., Kappel, D., Tanneberg, D., Pecevski, D., & Peters, J. (2016) · Scientific Reports · doi:10.1038/srep21142 · Cited by 57
Effects of prospective thinking on intertemporal choice: the role of familiarity
Sasse, L. K., Peters, J., Büchel, C., & Brassen, S. (2015) · Human Brain Mapping · doi:10.1002/hbm.22912 · Cited by 54
Berners-Lee, A., Wu, X., & Foster, D. J. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1158-20.2021 · Cited by 58
Entorhinal fast-spiking speed cells project to the hippocampus
Ye, J., Witter, M. P., Moser, M., & Moser, E. I. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720855115 · Cited by 61
Learning Naturalistic Temporal Structure in the Posterior Medial Network
Aly, M., Chen, J., Turk‐Browne, N. B., & Hasson, U. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01308 · Cited by 55
Increased and biased deliberation in social anxiety
Hunter, L. E., Meer, E. A., Gillan, C. M., Hsu, M., & Daw, N. D. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01180-y · Cited by 67
Predicting the Future with Multi-scale Successor RepresentationsPreprint
Momennejad, I., & Howard, M. W. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/449470 · Cited by 63
Ramping activity in midbrain dopamine neurons signifies the use of a cognitive mapPreprint
Guru, A., Seo, C., Post, R. J., Kullakanda, D. S., Schaffer, J. A., & Warden, M. R. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.21.108886 · Cited by 61
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
Railton, P. (2013) · Inquiry · doi:10.1080/0020174x.2014.858419 · Cited by 54
Sweis, B. M., Thomas, M. J., & Redish, A. D. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2005853 · Cited by 58
Self-citationSmith, K. S., & Graybiel, A. M. (2016) · PubMed Central · Cited by 55
Consciousness, Representation, Action: The Importance of Being Goal-Directed
Pennartz, C. M. A. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.10.006 · Cited by 49
Neural protein synthesis during aging: effects on plasticity and memory
Schimanski, L. A. (2010) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2010.00026 · Cited by 56
Conscious Experience and Episodic Memory: Hippocampus at the Crossroads
Behrendt, R. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00304 · Cited by 59
Regier, P. S., Amemiya, S., & Redish, A. D. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00189.2015 · Cited by 58
Self-citationNew perspectives on dimensionality and variability from large-scale cortical dynamics
Engel, T. A., & Steinmetz, N. A. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.09.003 · Cited by 56
Mouse entorhinal cortex encodes a diverse repertoire of self-motion signals
Mallory, C. S., Hardcastle, K., Campbell, M. G., Attinger, A., Low, I. I. C., Raymond, J. L., & Giocomo, L. M. (2021) · Nature Communications · doi:10.1038/s41467-021-20936-8 · Cited by 52
Predicting speech from a cortical hierarchy of event-based time scales
Schmitt, L., Erb, J., Tune, S., Rysop, A. U., Hartwigsen, G., & Obleser, J. (2021) · Science Advances · doi:10.1126/sciadv.abi6070 · Cited by 58
Remapping revisited: how the hippocampus represents different spaces
Fenton, A. A. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00817-x · Cited by 65
Hippocampal neuronal activity is aligned with action plans
Zutshi, I., Apostolelli, A., Yang, W., Zheng, Z. S., Dohi, T., Balzani, E., Williams, A. H., Savin, C., & Buzsáki, G. (2025) · Nature · doi:10.1038/s41586-024-08397-7 · Cited by 63
Stella, F., & Treves, A. (2011) · Neural Plasticity · doi:10.1155/2011/683961 · Cited by 59
Annual Research Review: Developmental computational psychiatry
Hauser, T. U., Will, G., Dubois, M., & Dolan, R. J. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12964 · Cited by 55
Llewellyn, S., & Hobson, J. A. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.04.005 · Cited by 54
Richter, S. H., Zeuch, B., Lankisch, K., Gass, P., Durstewitz, D., & Vollmayr, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062458 · Cited by 51
Synthetic consciousness: the distributed adaptive control perspective
Verschure, P. F. M. J. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0448 · Cited by 54
Prefrontal–hippocampal interactions for spatial navigation
Ito, H. (2017) · Neuroscience Research · doi:10.1016/j.neures.2017.04.016 · Cited by 56
Decoding Cognitive Processes from Neural Ensembles
Wallis, J. D. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.09.002 · Cited by 58
Wittkuhn, L., Chien, S., Hall-McMaster, S., & Schuck, N. W. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.08.002 · Cited by 49
Brown, T. I., Hasselmo, M. E., & Stern, C. E. (2014) · Hippocampus · doi:10.1002/hipo.22273 · Cited by 51
Perirhinal firing patterns are sustained across large spatial segments of the task environment
Bos, J. J., Vinck, M. A., Mourik-Donga, L. A. V., Jackson, J. C., Witter, M. P., & Pennartz, C. M. A. (2017) · Nature Communications · doi:10.1038/ncomms15602 · Cited by 47
On the methods for reactivation and replay analysis
Tingley, D., & Peyrache, A. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0231 · Cited by 52
Mnemicity: A Cognitive Gadget?
Mahr, J. B., Bergen, P. V., Sutton, J. D., Schacter, D. L., & Heyes, C. M. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916221141352 · Cited by 48
Probabilistic inference as a model of planned behavior.
Toussaint, M. (2009) · Cited by 47
Hasselmo, M. E., Giocomo, L. M., Brandon, M. P., & Yoshida, M. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2009.12.010 · Cited by 48
Which way and how far? Tracking of translation and rotation information for human path integration
Chrastil, E. R., Sherrill, K. R., Hasselmo, M. E., & Stern, C. E. (2016) · Human Brain Mapping · doi:10.1002/hbm.23265 · Cited by 50
Temporal context and latent state inference in the hippocampal splitter signal
Duvelle, É., Grieves, R. M., & van der Meer, M. A. A. (2022) · eLife · doi:10.7554/elife.82357 · Cited by 56
Planning at decision time and in the background during spatial navigation
Pezzulo, G., Donnarumma, F., Maisto, D., & Stoianov, I. P. (2019) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2019.04.009 · Cited by 47
Dentate spikes and external control of hippocampal function
Dvořák, D., Chung, A., Park, E., & Fenton, A. A. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109497 · Cited by 49
Skipping ahead: A circuit for representing the past, present, and future
Robinson, J. C., & Brandon, M. P. (2021) · eLife · doi:10.7554/elife.68795 · Cited by 49
Alexander, A. S., Robinson, J. C., Dannenberg, H., Kinsky, N. R., Levy, S. J., Mau, W., Chapman, G. W., Sullivan, D. W., & Hasselmo, M. E. (2020) · Brain and Neuroscience Advances · doi:10.1177/2398212820972871 · Cited by 46
Shahbaba, B., Li, L., Agostinelli, F., Saraf, M., Cooper, K. W., Haghverdian, D., Elias, G. A., Baldi, P., & Fortin, N. J. (2022) · Nature Communications · doi:10.1038/s41467-022-28057-6 · Cited by 53
Schultheiss, N. W., Schlecht, M., Jayachandran, M., Brooks, D. R., McGlothan, J. L., Guilarte, T. R., & Allen, T. A. (2020) · Behavioral Neuroscience · doi:10.1037/bne0000409 · Cited by 48
Ainge, J. A., Tamošiūnaitė, M., Wörgötter, F., & Dudchenko, P. A. (2011) · Hippocampus · doi:10.1002/hipo.20919 · Cited by 45
Dream to Predict? REM Dreaming as Prospective Coding
Llewellyn, S. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01961 · Cited by 45
Amemiya, S., Noji, T., Kubota, N., Nishijima, T., & Kita, I. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.01.031 · Cited by 45
Representation of Contralateral Visual Space in the Human Hippocampus
Silson, E. H., Zeidman, P., Knapen, T. H. J., & Baker, C. I. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1990-20.2020 · Cited by 47
Symanski, C. A., Bladon, J. H., Kullberg, E. T., Miller, P. C., & Jadhav, S. P. (2022) · eLife · doi:10.7554/elife.79545 · Cited by 50
Plasticity in oscillatory coupling between hippocampus and cortex
Igarashi, K. M. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.09.005 · Cited by 46
Takahashi, M., Nishida, H., Redish, A. D., & Lauwereyns, J. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00395.2013 · Cited by 44
Self-citationPoucet, B., & Hok, V. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.06.003 · Cited by 43
Goal-oriented representations in the human hippocampus during planning and navigation
Crivelli-Decker, J. E., Clarke, A., Park, S. A., Huffman, D. J., Boorman, E. D., & Ranganath, C. (2023) · Nature Communications · doi:10.1038/s41467-023-35967-6 · Cited by 48
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
Dynamics of hippocampal spatial representation in echolocating bats
Ulanovsky, N., & Moss, C. F. (2009) · Hippocampus · doi:10.1002/hipo.20731 · Cited by 48
Recurrent network model for learning goal-directed sequences through reverse replay
Haga, T., & Fukai, T. (2018) · eLife · doi:10.7554/elife.34171 · Cited by 49
A Benchmarked Feasibility Study of a Self-Hypnosis Treatment for Depression in Primary Care
Dobbin, A., Maxwell, M., & Elton, R. (2009) · International Journal of Clinical and Experimental Hypnosis · doi:10.1080/00207140902881221 · Cited by 46
How cognitive theory guides neuroscience
Frank, M. J., & Badre, D. (2014) · Cognition · doi:10.1016/j.cognition.2014.11.009 · Cited by 44
The Hippocampus and Memory Integration: Building Knowledge to Navigate Future Decisions
Schlichting, M. L., & Preston, A. R. (2017) · Springer eBooks · doi:10.1007/978-3-319-50406-3_13 · Cited by 48
Mugan, U., & MacIver, M. A. (2020) · Nature Communications · doi:10.1038/s41467-020-16102-1 · Cited by 45
The Michelin red guide of the brain: role of dopamine in goal-oriented navigation
Retailleau, A., & Boraud, T. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00032 · Cited by 42
Lau, B., Monteiro, T., & Paton, J. J. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.015 · Cited by 41
Neural mechanisms of navigation involving interactions of cortical and subcortical structures
Hinman, J. R., Dannenberg, H., Alexander, A. S., & Hasselmo, M. E. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00498.2017 · Cited by 45
Deliberation and Procedural Automation on a Two-Step Task for Rats
Hasz, B. M., & Redish, A. D. (2018) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2018.00030 · Cited by 46
Self-citationA complementary learning systems approach to temporal difference learning
Blakeman, S., & Mareschal, D. (2019) · Neural Networks · doi:10.1016/j.neunet.2019.10.011 · Cited by 41
Turns during navigation act as boundaries that enhance spatial memory and expand time estimation
Brunec, I. K., Ozubko, J. D., Ander, T., Guo, R., Moscovitch, M., & Barense, M. D. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107437 · Cited by 43
Hasselmo, M. E. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06437.x · Cited by 45
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.2010.00028 · Cited by 43
Episodic-like memory trace in awake replay of hippocampal place cell activity sequences
TAKAHASHI, S. Y. (2015) · eLife · doi:10.7554/elife.08105 · Cited by 42
Micro-, Meso- and Macro-Dynamics of the Brain
Buzsáki, G., Christen, Y., & Publishing, S. I. (2016) · Research and perspectives in neurosciences · doi:10.1007/978-3-319-28802-4 · Cited by 44
Neural Activity Patterns Underlying Spatial Coding in the Hippocampus
Sosa, M., Gillespie, A. K., & Frank, L. M. (2016) · Current topics in behavioral neurosciences · doi:10.1007/7854_2016_462 · Cited by 43
Multi-step planning in the brain
Miller, K. J., & Venditto, S. J. C. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.07.003 · Cited by 43
Humans can navigate complex graph structures acquired during latent learning
Rmus, M., Ritz, H., Hunter, L. E., Bornstein, A. M., & Shenhav, A. (2019) · Cognition · doi:10.1016/j.cognition.2022.105103 · Cited by 42
Distinct replay signatures for prospective decision-making and memory preservation
Wimmer, G. E., Liu, Y., McNamee, D., & Dolan, R. J. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2205211120 · Cited by 47
Learning predictive cognitive maps with spiking neurons during behavior and replays
Bono, J., Zannone, S., Pedrosa, V., & Clopath, C. (2023) · eLife · doi:10.7554/elife.80671 · Cited by 47
Huang, Y., Brandon, M. P., Griffin, A. L., Hasselmo, M. E., & Eden, U. T. (2009) · Neural Computation · doi:10.1162/neco.2009.10-08-893 · Cited by 40
Habit and Nonhabit Systems for Unconscious and Conscious Behavior: Implications for Multitasking
Lisman, J. E., & Sternberg, E. J. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00319 · Cited by 40
Hippocampal neural activity reflects the economy of choices during goal‐directed navigation
Tryon, V. L., Penner, M. R., Heide, S. W., King, H. O., Larkin, J. D., & Mizumori, S. J. Y. (2017) · Hippocampus · doi:10.1002/hipo.22720 · Cited by 39
Theta phase precession beyond the hippocampus
Malhotra, S., Cross, R. W. A., & van der Meer, M. A. A. (2012) · Reviews in the Neurosciences · doi:10.1515/revneuro-2011-0064 · Cited by 43
Manipulating Decisiveness in Decision Making: Effects of Clonidine on Hippocampal Search Strategies
Amemiya, S., & Redish, A. D. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2595-15.2016 · Cited by 41
Self-citationRoss, R. S., Sherrill, K. R., & Stern, C. E. (2011) · Brain Research · doi:10.1016/j.brainres.2011.09.038 · Cited by 42
Navigating complex decision spaces: Problems and paradigms in sequential choice.
Walsh, M. M., & Anderson, J. R. (2013) · Psychological Bulletin · doi:10.1037/a0033455 · Cited by 41
Tavoni, G., Ferrari, U., Battaglia, F. P., Cocco, S., & Monasson, R. (2017) · Network Neuroscience · doi:10.1162/netn_a_00014 · Cited by 39
Neural Representation. A Survey-Based Analysis of the Notion
Vilarroya, Ó. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01458 · Cited by 47
Model-based spatial navigation in the hippocampus-ventral striatum circuit: A computational analysis
Stoianov, I. P., Pennartz, C. M. A., Lansink, C. S., & Pezzulo, G. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006316 · Cited by 39
Hippocampal replays under the scrutiny of reinforcement learning models
Cazé, R. D., Khamassi, M., Aubin, L., & Girard, B. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00145.2018 · Cited by 44
Arienzo, D., Happer, J. P., Molnar, S. M., Alderson‐Myers, A., & Marinković, K. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00107-6 · Cited by 39
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