Neuronal Dynamics of Predictive Coding

A neural substrate of prediction and reward

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LOSS OF RECENT MEMORY AFTER BILATERAL HIPPOCAMPAL LESIONS

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Place navigation impaired in rats with hippocampal lesions

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The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat

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Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type

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The Organization of Behavior: A Neuropsychological Theory

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Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs

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Phase relationship between hippocampal place units and the EEG theta rhythm

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Dynamics of the Hippocampal Ensemble Code for Space

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The essential role of hippocampal CA1 NMDA receptor-dependent synaptic plasticity in spatial memory.

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Synaptic plasticity: LTP and LTD

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The contributions of position, direction, and velocity to single unit activity in the hippocampus of freely-moving rats

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Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus

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Interactions between location and task affect the spatial and directional firing of hippocampal neurons

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Neural Activity in the Primate Prefrontal Cortex during Associative Learning

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Long-term potentiation in the hippocampus using depolarizing current pulses as the conditioning stimulus to single volley synaptic potentials

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Loss of Recent Memory After Bilateral Hippocampal Lesions

Scoville, W. B., & Milner, B. A. (2000) · Journal of Neuropsychiatry · doi:10.1176/jnp.12.1.103-a · Cited by 546 · see citing works

Experience-dependent, asymmetric expansion of hippocampal place fields

Mehta, M. R., Barnes, C. A., & McNaughton, B. L. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.16.8918 · Cited by 528 · see citing works

Accumulation of Hippocampal Place Fields at the Goal Location in an Annular Watermaze Task

Hollup, S., Molden, S., Donnett, J. G., Moser, M., & Moser, E. I. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-05-01635.2001 · Cited by 490 · see citing works

Experience-Dependent Asymmetric Shape of Hippocampal Receptive Fields

Mehta, M. R., Quirk, M. C., & Wilson, M. A. (2000) · Neuron · doi:10.1016/s0896-6273(00)81072-7 · Cited by 488 · see citing works

Organization of Behavior : A Neuropsychological Theory

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Synaptic Depression and the Temporal Response Characteristics of V1 Cells

Chance, F. S., Nelson, S. B., & Abbott, L. F. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-12-04785.1998 · Cited by 403 · see citing works

Hippocampal CA3 region predicts memory sequences: accounting for the phase precession of place cells.Preprint

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A Model of Spatial Map Formation in the Hippocampus of the Rat

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GABAergic Modulation of Hippocampal Population Activity: Sequence Learning, Place Field Development, and the Phase Precession Effect

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Functional Significance of Long-Term Potentiation for Sequence Learning and Prediction

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Neuronal activity in the supplementary eye field during acquisition of conditional oculomotor associations

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Mechanisms of Direction Selectivity in Macaque V1

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The Involvement of Recurrent Connections in Area CA3 in Establishing the Properties of Place Fields: a Model

Káli, S., & Dayan, P. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-19-07463.2000 · Cited by 139 · see citing works

Physiological properties of anatomically identified basket and bistratified cells in the CA1 area of the rat hippocampus in vitro

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Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells

Gerstner, W., & Abbott, L. F. (1997) · Journal of Computational Neuroscience · doi:10.1023/a:1008820728122 · Cited by 109 · see citing works

Computational Models of Learning in Simple Neural Systems

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A Temporal Mechanism for Generating the Phase Precession of Hippocampal Place Cells

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From hippocampus to V1: Effect of LTP on spatio-temporal dynamics of receptive fields

Mehta, M. R., & Wilson, M. A. (2000) · Neurocomputing · doi:10.1016/s0925-2312(00)00259-9 · Cited by 40 · see citing works

Expansion and Shift of Hippocampal Place Fields: Evidence for Synaptic Potentiation during Behavior

Mehta, M. R., & McNaughton, B. L. (1997) · Springer eBooks · doi:10.1007/978-1-4757-9800-5_115 · Cited by 32 · see citing works

A neural network model for kindling of focal epilepsy: basic mechanism

Mehta, M. R., Dasgupta, C., & Ullal, G. R. (1993) · Biological Cybernetics · doi:10.1007/bf00201858 · Cited by 18 · see citing works

Computational Neuroscience: Trends in research 2004

Schutter, E. D. (2004) · Neurocomputing · doi:10.1016/j.neucom.2004.01.188 · Cited by 10 · see citing works

Episodic memory, semantic memory, and amnesia

Squire, L. R., & Zola, S. M. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1998)8:3

A theory of cortical responses.

Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578 · see citing works

The hippocampus as a predictive map

Stachenfeld, K. L., Botvinick, M. M., & Gershman, S. J. (2017) · Nature Neuroscience · doi:10.1038/nn.4650 · Cited by 1,000 · see citing works

Role of experience and oscillations in transforming a rate code into a temporal code

Mehta, M. R., Lee, A. K., & Wilson, M. A. (2002) · Nature · doi:10.1038/nature00807 · Cited by 630 · see citing works

Hippocampus-independent phase precession in entorhinal grid cells

Hafting, T., Fyhn, M., Bonnevie, T., Moser, M., & Moser, E. I. (2008) · Nature · doi:10.1038/nature06957 · Cited by 471 · see citing works

Predictive coding

Huang, Y., & Rao, R. P. N. (2011) · WIREs Cognitive Science · doi:10.1002/wcs.142 · Cited by 470 · see citing works

Impaired spatial selectivity and intact phase precession in two-dimensional virtual reality

Aghajan, Z. M., Acharya, L., Moore, J. J., Cushman, J. D., Vuong, C., & Mehta, M. R. (2014) · Nature Neuroscience · doi:10.1038/nn.3884 · Cited by 282 · see citing works

Predictive coding of music – Brain responses to rhythmic incongruity

Vuust, P., Østergaard, L., Pallesen, K. J., Bailey, C. J., & Roepstorff, A. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.014 · Cited by 277 · see citing works

The emergence of grid cells: Intelligent design or just adaptation?

Kropff, E., & Treves, A. (2008) · Hippocampus · doi:10.1002/hipo.20520 · Cited by 254 · see citing works

What Can a Neuron Learn with Spike-Timing-Dependent Plasticity?

Legenstein, R. A., Naeger, C., & Maass, W. (2005) · Neural Computation · doi:10.1162/0899766054796888 · Cited by 208 · see citing works

The medial entorhinal cortex is necessary for temporal organization of hippocampal neuronal activity

Schlesiger, M. I., Cannova, C. C., Boublil, B. L., Hales, J. B., Mankin, E. A., Brandon, M. P., Leutgeb, J. K., Leibold, C., & Leutgeb, S. (2015) · Nature Neuroscience · doi:10.1038/nn.4056 · Cited by 165 · see citing works

The contributions of resting state and task-based functional connectivity studies to our understanding of adolescent brain network maturation

Stevens, M. C. G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.027 · Cited by 138 · see citing works

The Effect of Learning on the Function of Monkey Extrastriate Visual Cortex

Rainer, G., Lee, H. B., & Logothetis, N. K. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020044 · Cited by 126 · see citing works

Effects of timing and movement uncertainty implicate the temporo-parietal junction in the prediction of forthcoming motor actions

Jakobs, O., Wang, L. E., Dafotakis, M., Grefkes, C., Zilles, K., & Eickhoff, S. B. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.065 · Cited by 112 · see citing works

The developmental cognitive neuroscience of functional connectivity

Stevens, M. C. G. (2009) · Brain and Cognition · doi:10.1016/j.bandc.2008.12.009 · Cited by 110 · see citing works

Dynamics of cortical dendritic membrane potential and spikes in freely behaving rats.

Moore, J. J., Ravassard, P. M., Ho, D., Acharya, L., Kees, A. L., Vuong, C., & Mehta, M. R. (2017) · Science · doi:10.1126/science.aaj1497 · Cited by 110 · see citing works

Hippocampal Neural Circuits Respond to Optogenetic Pacing of Theta Frequencies by Generating Accelerated Oscillation Frequencies

Zutshi, I., Brandon, M. P., Fu, M. L., Donegan, M. L., Leutgeb, J. K., & Leutgeb, S. (2018) · Current Biology · doi:10.1016/j.cub.2018.02.061 · Cited by 103 · see citing works

From synaptic plasticity to spatial maps and sequence learning

Mehta, M. R. (2015) · Hippocampus · doi:10.1002/hipo.22472 · Cited by 94 · see citing works

Speed Controls the Amplitude and Timing of the Hippocampal Gamma Rhythm

Chen, Z., Resnik, E., McFarland, J. M., Sakmann, B. J., & Mehta, M. R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021408 · Cited by 89 · see citing works

The brain is a prediction machine that cares about good and bad - Any implications for neuropragmatics?

Berkum, V. E. C., & Alferes, J. J. (2010) · Max Planck Institute for Plasma Physics · Cited by 84 · see citing works

Computational constraints between retrieving the past and predicting the future, and the CA3‐CA1 differentiation

Treves, A. (2004) · Hippocampus · doi:10.1002/hipo.10187 · Cited by 78 · see citing works

Moving bar of light evokes vectorial spatial selectivity in the immobile rat hippocampus

Purandare, C., Dhingra, S., Rios, R., Vuong, C., To, T., Hachisuka, A., Choudhary, K., & Mehta, M. R. (2022) · Nature · doi:10.1038/s41586-022-04404-x · Cited by 69 · see citing works

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 · see citing works

Cortico-hippocampal interaction during up-down states and memory consolidation

Mehta, M. R. (2006) · Nature Neuroscience · doi:10.1038/nn0107-13 · Cited by 68 · see citing works

A sensory–motor theory of the neocortex

Rao, R. P. N. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01673-9 · Cited by 84 · see citing works

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 74 · see citing works

Characterization of the anticipated synchronization regime in the coupled FitzHugh–Nagumo model for neurons

Toral, R., Masoller, C., Mirasso, C. R., Ciszak, M., & Calvo, O. (2003) · Physica A Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(03)00198-5 · Cited by 59 · see citing works

Coding and learning of behavioral sequences

Melamed, O., Wulfram Gerstner, B., Maass, W., Tsodyks, M. V., & Markram, H. (2003) · Trends in Neurosciences · doi:10.1016/j.tins.2003.10.014 · Cited by 55 · see citing works

Learning of anticipatory responses in single neurons of the human medial temporal lobe

Reddy, L., Poncet, M., Self, M. W., Peters, J. C., Douw, L., van Dellen, E., Claus, S., Reijneveld, J. C., Baayen, J. C., & Roelfsema, P. R. (2015) · Nature Communications · doi:10.1038/ncomms9556 · Cited by 54 · see citing works

Social and Contextual Constraints on Embodied Perception

Schnall, S. (2017) · Perspectives on Psychological Science · doi:10.1177/1745691616660199 · Cited by 46 · see citing works

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 40 · see citing works

Integrated Mechanisms of Anticipation and Rate-of-Change Computations in Cortical Circuits

Puccini, G. D., Sanchez-Vives, M. V., & Compte, A. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030082 · Cited by 44 · see citing works

Human Brain Oscillations: From Physiological Mechanisms to Analysis and Cognition

Jensen, O. B., Spaak, E., & Zumer, J. M. (2014) · Springer eBooks · doi:10.1007/978-3-642-33045-2_17 · Cited by 43 · see citing works

Hippocampal Erk mechanisms linking prediction error to fear extinction: Roles of shock expectancy and contextual aversive valencePreprint

Huh, K. H., Guzmán, Y. F., Tronson, N. C., Guedea, A. L., Gao, C., & Radulović, J. (2009) · Learning & Memory · doi:10.1101/lm.1240109 · Cited by 35 · see citing works

Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review.

Qela, B., Damiani, S., De Santis, S., Groppi, F., Pichiecchio, A., Asteggiano, C., Brondino, N., Monteleone, A. M., Grassi, L., Politi, P., et al. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106020 · Cited by 26 · see citing works

Effect of the sub-threshold periodic current forcing on the regularity and the synchronization of neuronal spiking activity

Özer, M., Uzuntarla, M., & Agaoglu, S. N. (2006) · Physics Letters A · doi:10.1016/j.physleta.2006.07.058 · Cited by 24 · see citing works

Backward Shift of Head Direction Tuning Curves of the Anterior Thalamus: Comparison with CA1 Place Fields

Yu, X., Yoganarasimha, D., & Knierim, J. J. (2006) · Neuron · doi:10.1016/j.neuron.2006.10.003 · Cited by 24 · see citing works

Standing on the gateway to memory: Shouldn't we step in?

Treves, A., & Samengo, I. (2002) · Cognitive Neuropsychology · doi:10.1080/02643290244000095 · Cited by 23 · see citing works

Routing the Flow of Sensory Signals Using Plastic Responses to Bursts and Isolated Spikes: Experiment and Theory

Middleton, J. W., Yu, N., Longtin, A., & Maler, L. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4672-10.2011 · Cited by 22 · see citing works

Inner Navigation and Theta Activity: From Movement to Cognition and Hypnosis According to the Sphere Model of Consciousness

Paoletti, P., Ben‐Soussan, T. D., & Glicksohn, J. (2020) · IntechOpen eBooks · doi:10.5772/intechopen.92755 · Cited by 18 · see citing works

Human Brain Oscillations: From Physiological Mechanisms to Analysis and Cognition

Jensen, O. B., Spaak, E., & Zumer, J. M. (2019) · Springer eBooks · doi:10.1007/978-3-030-00087-5_17 · Cited by 18 · see citing works

Implicit learning of temporal behavior in complex dynamic environments

Salet, J. M., Kruijne, W., & van Rijn, H. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-020-01873-x · Cited by 16 · see citing works

Remembering rewarding futures: A simulation‐selection model of the hippocampus

Jung, M. W., Lee, H., Jeong, Y., Lee, J. W., & Lee, I. (2018) · Hippocampus · doi:10.1002/hipo.23023 · Cited by 15 · see citing works

Cognitive Neural Mechanism of Backward Inhibition and Deinhibition: A Review

Chen, J., Wu, S., & Li, F. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.846369 · Cited by 10 · see citing works

Compensating for Neural Transmission Delay Using Extrapolatory Neural Activation in Evolutionary Neural Networks

Lim, H., & Choe, Y. (2006) · Cited by 10 · see citing works

A Public Confession: The Retina Trumpets Its Failed Predictions

Holy, T. E. (2007) · Neuron · doi:10.1016/j.neuron.2007.09.002 · Cited by 9 · see citing works

Delay Compensation Through Facilitating Synapses and STDP: A Neural Basis for Orientation Flash-Lag Effect

Lim, H., & Choe, Y. (2006) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2006.1716689 · Cited by 9 · see citing works

Hypnotherapy and Hypnosis

Mordeniz, C. (2020) · IntechOpen eBooks · doi:10.5772/intechopen.83045 · Cited by 8 · see citing works

Attending to Remember and Remembering to Attend

Dudukovic, N. M., & Wagner, A. D. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.008 · Cited by 8 · see citing works

Human Brain Oscillations: From Physiological Mechanisms to Analysis and Cognition

Jensen, O. B., Spaak, E., & Zumer, J. M. (2019) · Springer eBooks · doi:10.1007/978-3-319-62657-4_17-1 · Cited by 7 · see citing works

Topological coding in hippocampusPreprint

Dabaghian, Y. A., Cohn, A. G., & Frank, L. M. (2007) · arXiv (Cornell University) · doi:10.48550/arxiv.q-bio/0702052 · Cited by 6 · see citing works

Anticipating communication

Berkum, J. J. A. V. (2013) · Theoretical Linguistics · doi:10.1515/tl-2013-0004 · Cited by 5 · see citing works

Goal-centered representations in the human hippocampusPreprint

Crivelli-Decker, J. E., Clarke, A., Park, S. A., Huffman, D. J., Boorman, E. D., & Ranganath, C. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.18.456881 · Cited by 5 · see citing works

Do after “not to do”: Deinhibition in cognitive control

Chen, J., Cao, B., & Li, F. (2023) · Memory & Cognition · doi:10.3758/s13421-023-01403-9 · Cited by 4 · see citing works

A connectionist model of spatial learning in the rat

Strösslin, T. (2004) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · doi:10.5075/epfl-thesis-2951 · Cited by 4 · see citing works

Neural predictive mechanisms and their role in cognitive incrementalism

Downing, K. L. (2013) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2013.02.001 · Cited by 3 · see citing works

Induced zero-phase synchronization as a potential neural code for optimized visuomotor integration

Heise, K.-F., Albouy, G., Dolfen, N., Peeters, R. R., Mantini, D., & Swinnen, S. P. (2025) · Brain stimulation · doi:10.1016/j.brs.2025.03.019 · Cited by 2 · see citing works

Somesthetic Function

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Hippocampal representations of distance, space, and direction and their plasticity predict navigational performancePreprint

Moore, J. J., Cushman, J. D., Acharya, L., & Mehta, M. R. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.30.424858 · Cited by 1 · see citing works

Single-Neuron and Network Dynamics in the Neocortical-Entorhinal-Hippocampal Circuit

McFarland, J. M. (2011) · doi:10.7301/z0dr2sq2

Integrated Mechanisms of Anticipation and Rate-of-Change Computations in Cortical Circuits

Puccini, G. D., Sanchez-Vives, M. V., & Compte, A. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030082.eor · Cited by 1 · see citing works

Gradient Expectations

Downing, K. L. (2023) · The MIT Press eBooks · doi:10.7551/mitpress/14723.001.0001

Spatial Map: Through the Lens of Behavioral Tag and Capture

Raghuraman, R., & Hussaini, S. A. (2024) · Springer eBooks · doi:10.1007/978-3-031-54864-2_21

Effect of interhemispheric zero-phase entrainment of the intrinsic mu-rhythm on behavioral and neural markers of predictive codingPreprint

Heise, K.-F., Albouy, G., Dolfen, N., Peeters, R. R., Mantini, D., & Swinnen, S. P. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.07.592996

A window on Subjective Time

de Jong, J. (2024) · doi:10.33612/diss.1004106212

Gambling on limited information: our visual system and probabilistic inference

Burmester, A. (2016) · doi:10.64628/aai.atcpaen3v

Neural Prediction Errors as a Unified Cue for Abstract Visual Reasoning

Yang, L., Xie, X., Zheng, W., Fang, F., & Zhang, R. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3623461

Deep learning and neuroscience : a match made in heaven?

Choksi, B. (2022) · theses.fr (ABES) · doi:10.70675/42802d90z0c77z4de8z829dz508145498217

� NEUROSCIENCE UPDATE Neuronal Dynamics of Predictive Coding

Mehta, M. R. (2008)

Few-shot learning of predictive features with dendrites and behavioural timescale synaptic plasticity in the hippocampusPreprint

Gillon, C. J., & Claudia Clopath, A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.08.723802

Sequence anticipation and spike-timing-dependent plasticity emerge from a predictive learning rule

Saponati, M., & Vinck, M. A. (2023) · Nature Communications · doi:10.1038/s41467-023-40651-w · Cited by 32 · see citing works

Sequence anticipation and spike-time-dependent-plasticity emerge from a predictive learning rulePreprint

Saponati, M., & Vinck, M. A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.31.466667 · Cited by 1 · see citing works

Prospective Coding by Spiking Neurons

Brea, J., Gaál, A. T., Urbanczik, R., & Senn, W. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005003 · Cited by 45 · see citing works