Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model
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[1] M. Wilson,et al. Dentate Gyrus NMDA Receptors Mediate Rapid Pattern Separation in the Hippocampal Network , 2007, Science.
[2] D. Hassabis,et al. Hippocampal place cells construct reward related sequences through unexplored space , 2015, eLife.
[3] Sean M Montgomery,et al. Relationships between Hippocampal Sharp Waves, Ripples, and Fast Gamma Oscillation: Influence of Dentate and Entorhinal Cortical Activity , 2011, The Journal of Neuroscience.
[4] B. McNaughton,et al. Reactivation of Hippocampal Cell Assemblies: Effects of Behavioral State, Experience, and EEG Dynamics , 1999, The Journal of Neuroscience.
[5] H. Yamahachi,et al. Hippocampal Remapping after Partial Inactivation of the Medial Entorhinal Cortex , 2015, Neuron.
[6] Julien Vitay,et al. Frontiers in Computational Neuroscience Computational Neuroscience , 2022 .
[7] H. Eichenbaum,et al. Memory for the Order of Events in Specific Sequences: Contributions of the Hippocampus and Medial Prefrontal Cortex , 2011, The Journal of Neuroscience.
[8] Anoopum S. Gupta. Behavioral Correlates of Hippocampal Neural Sequences , 2011 .
[9] J. Knierim,et al. Attractor dynamics of spatially correlated neural activity in the limbic system. , 2012, Annual review of neuroscience.
[10] Gyorgy Csizmadia,et al. Storage of the Distance between Place Cell Firing Fields in the Strength of Plastic Synapses with a Novel Learning Rule , 2008 .
[11] R. Morris,et al. Delay‐dependent impairment of a matching‐to‐place task with chronic and intrahippocampal infusion of the NMDA‐antagonist D‐AP5 , 1999, Hippocampus.
[12] M. Quirk,et al. Experience-Dependent Asymmetric Shape of Hippocampal Receptive Fields , 2000, Neuron.
[13] B. McNaughton,et al. Spatial selectivity of unit activity in the hippocampal granular layer , 1993, Hippocampus.
[14] H. Eichenbaum,et al. Interplay of Hippocampus and Prefrontal Cortex in Memory , 2013, Current Biology.
[15] Uğur M Erdem,et al. A goal‐directed spatial navigation model using forward trajectory planning based on grid cells , 2012, The European journal of neuroscience.
[16] M. Moser,et al. A prefrontal–thalamo–hippocampal circuit for goal-directed spatial navigation , 2015, Nature.
[17] R. Morris,et al. Locus coeruleus and dopaminergic consolidation of everyday memory , 2016, Nature.
[18] Brad E. Pfeiffer,et al. Autoassociative dynamics in the generation of sequences of hippocampal place cells , 2015, Science.
[19] D. Manahan‐Vaughan,et al. Hippocampal long‐term potentiation that is elicited by perforant path stimulation or that occurs in conjunction with spatial learning is tightly controlled by beta‐adrenoreceptors and the locus coeruleus , 2015, Hippocampus.
[20] W. Gerstner,et al. Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity , 2006, The Journal of Neuroscience.
[21] Laurenz Wiskott,et al. A computational model for preplay in the hippocampus , 2013, Front. Comput. Neurosci..
[22] Alexander Mathis,et al. Connecting multiple spatial scales to decode the population activity of grid cells , 2015, Science Advances.
[23] B L McNaughton,et al. Path Integration and Cognitive Mapping in a Continuous Attractor Neural Network Model , 1997, The Journal of Neuroscience.
[24] David J. Foster,et al. Reverse replay of behavioural sequences in hippocampal place cells during the awake state , 2006, Nature.
[25] M. Kahana. Associative retrieval processes in free recall , 1996, Memory & cognition.
[26] Neil Burgess,et al. Forward and Backward Inference in Spatial Cognition , 2013, PLoS Comput. Biol..
[27] G. Buzsáki. Two-stage model of memory trace formation: A role for “noisy” brain states , 1989, Neuroscience.
[28] R. S. Jones. The NMDA receptor Edited by J. C. Watkins and G. L. Collinridge. Oxford University Press, New York (1990) 242 pp. £45.00 , 1991, Neuroscience.
[29] B. McNaughton,et al. Replay of Neuronal Firing Sequences in Rat Hippocampus During Sleep Following Spatial Experience , 1996, Science.
[30] D. R. Euston,et al. The Role of Medial Prefrontal Cortex in Memory and Decision Making , 2012, Neuron.
[31] Michael L. Waskom,et al. Frontoparietal Representations of Task Context Support the Flexible Control of Goal-Directed Cognition , 2014, The Journal of Neuroscience.
[32] Eran Stark,et al. Excitation and Inhibition Compete to Control Spiking during Hippocampal Ripples: Intracellular Study in Behaving Mice , 2014, The Journal of Neuroscience.
[33] M. Moser,et al. Pattern Separation in the Dentate Gyrus and CA3 of the Hippocampus , 2007, Science.
[34] W B Levy,et al. A sequence predicting CA3 is a flexible associator that learns and uses context to solve hippocampal‐like tasks , 1996, Hippocampus.
[35] S. Becker,et al. Remembering the past and imagining the future: a neural model of spatial memory and imagery. , 2007, Psychological review.
[36] W. Gerstner,et al. Connectivity reflects coding: a model of voltage-based STDP with homeostasis , 2010, Nature Neuroscience.
[37] C. Leibold. A Trick for Computing Expected Values in High-Dimensional Probabilistic Models , 2011, Network.
[38] Margaret F. Carr,et al. Transient Slow Gamma Synchrony Underlies Hippocampal Memory Replay , 2012, Neuron.
[39] Carol A Barnes,et al. Impaired hippocampal rate coding after lesions of the lateral entorhinal cortex , 2013, Nature Neuroscience.
[40] J. O’Neill,et al. The reorganization and reactivation of hippocampal maps predict spatial memory performance , 2010, Nature Neuroscience.
[41] M. Cammarota,et al. Inactivation of the dorsal hippocampus or the medial prefrontal cortex impairs retrieval but has differential effect on spatial memory reconsolidation , 2015, Neurobiology of Learning and Memory.
[42] Joshua P. Neunuebel,et al. Spatial Firing Correlates of Physiologically Distinct Cell Types of the Rat Dentate Gyrus , 2012, The Journal of Neuroscience.
[43] Michael Recce,et al. A model of hippocampal function , 1994, Neural Networks.
[44] S. Romani,et al. Short‐term plasticity based network model of place cells dynamics , 2015, Hippocampus.
[45] D. Paré,et al. Ultrastructural organization of medial prefrontal inputs to the rhinal cortices , 2006, The European journal of neuroscience.
[46] David J. Foster,et al. A model of hippocampally dependent navigation, using the temporal difference learning rule , 2000, Hippocampus.
[47] Menno P. Witter,et al. Place Cells and Place Recognition Maintained by Direct Entorhinal-Hippocampal Circuitry , 2002, Science.
[48] Richard Kempter,et al. Memory replay in balanced recurrent networks , 2016, bioRxiv.
[49] P. J. Sjöström,et al. Rate, Timing, and Cooperativity Jointly Determine Cortical Synaptic Plasticity , 2001, Neuron.
[50] J. A. Dani,et al. Dopamine D1 and D5 Receptors Modulate Spike Timing-Dependent Plasticity at Medial Perforant Path to Dentate Granule Cell Synapses , 2014, The Journal of Neuroscience.
[51] G. Buzsáki,et al. Selective suppression of hippocampal ripples impairs spatial memory , 2009, Nature Neuroscience.
[52] Xiao-Jing Wang,et al. Angular Path Integration by Moving “Hill of Activity”: A Spiking Neuron Model without Recurrent Excitation of the Head-Direction System , 2005, The Journal of Neuroscience.
[53] A. Sirota,et al. The hippocampus: hub of brain network communication for memory , 2011, Trends in Cognitive Sciences.
[54] Thomas Straube,et al. Requirement of β‐adrenergic receptor activation and protein synthesis for LTP‐reinforcement by novelty in rat dentate gyrus , 2003 .
[55] Laura A. Atherton,et al. Memory trace replay: the shaping of memory consolidation by neuromodulation , 2015, Trends in Neurosciences.
[56] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[57] Margaret F. Carr,et al. Hippocampal replay in the awake state: a potential substrate for memory consolidation and retrieval , 2011, Nature Neuroscience.
[58] RU Muller,et al. The hippocampus as a cognitive graph , 1996, The Journal of general physiology.
[59] Daniel L Schacter,et al. Ventromedial prefrontal cortex supports affective future simulation by integrating distributed knowledge , 2014, Proceedings of the National Academy of Sciences.
[60] Julien Vitay,et al. ANNarchy: a code generation approach to neural simulations on parallel hardware , 2015, Front. Neuroinform..
[61] G. Buzsáki,et al. Forward and reverse hippocampal place-cell sequences during ripples , 2007, Nature Neuroscience.
[62] P. Caroni,et al. Goal-oriented searching mediated by ventral hippocampus early in trial-and-error learning , 2012, Nature Neuroscience.
[63] Matthew A. Wilson,et al. Impaired Hippocampal Ripple-Associated Replay in a Mouse Model of Schizophrenia , 2013, Neuron.
[64] Richard Kempter,et al. Modeling Inheritance of Phase Precession in the Hippocampal Formation , 2014, The Journal of Neuroscience.
[65] Si Wu,et al. Tracking Changing Stimuli in Continuous Attractor Neural Networks , 2008, NIPS.
[66] Conor Liston,et al. Projections from neocortex mediate top-down control of memory retrieval , 2015, Nature.
[67] Hongkui Zeng,et al. Forebrain-Specific Calcineurin Knockout Selectively Impairs Bidirectional Synaptic Plasticity and Working/Episodic-like Memory , 2001, Cell.
[68] Inah Lee,et al. A Double Dissociation between Hippocampal Subfields Differential Time Course of CA3 and CA1 Place Cells for Processing Changed Environments , 2004, Neuron.
[69] Martin Vinck,et al. Perirhinal firing patterns are sustained across large spatial segments of the task environment , 2017, Nature Communications.
[70] M. Larkum,et al. Dopamine modulates synaptic plasticity in dendrites of rat and human dentate granule cells , 2010, Proceedings of the National Academy of Sciences.
[71] J. Leiden. Rapid response , 1998, Nature.
[72] Matthijs A. A. van der Meer,et al. Internally generated sequences in learning and executing goal-directed behavior , 2014, Trends in Cognitive Sciences.
[73] D. Manahan‐Vaughan,et al. Regulation of depotentiation and long-term potentiation in the dentate gyrus of freely moving rats by dopamine D2-like receptors. , 2003, Cerebral cortex.
[74] Neil Burgess,et al. Using Grid Cells for Navigation , 2015, Neuron.
[75] Romain Brette,et al. The Brian Simulator , 2009, Front. Neurosci..
[76] G. Buzsáki,et al. Cell Assembly Sequences Arising from Spike Threshold Adaptation Keep Track of Time in the Hippocampus , 2011, The Journal of Neuroscience.
[77] Xiao-Jing Wang,et al. Robust Spatial Working Memory through Homeostatic Synaptic Scaling in Heterogeneous Cortical Networks , 2003, Neuron.
[78] Caswell Barry,et al. Coordinated grid and place cell replay during rest , 2016, Nature Neuroscience.
[79] Matthew A. Wilson,et al. Hippocampal Replay of Extended Experience , 2009, Neuron.
[80] K M Gothard,et al. Dentate Gyrus and CA1 Ensemble Activity during Spatial Reference Frame Shifts in the Presence and Absence of Visual Input , 2001, The Journal of Neuroscience.
[81] Matthijs A. A. van der Meer,et al. Information Processing in Decision-Making Systems , 2012, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[82] David S. Touretzky,et al. The Role of the Hippocampus in Solving the Morris Water Maze , 1998, Neural Computation.
[83] Colin Molter,et al. Reactivation of behavioral activity during sharp waves: A computational model for two stage hippocampal dynamics , 2007, Hippocampus.
[84] G. Buzsáki,et al. Pyramidal Cell-Interneuron Interactions Underlie Hippocampal Ripple Oscillations , 2014, Neuron.
[85] D. Durstewitz,et al. A Quantitative Analysis of Context-Dependent Remapping of Medial Frontal Cortex Neurons and Ensembles , 2016, The Journal of Neuroscience.
[86] Wulfram Gerstner,et al. Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze-like Environments , 2015, NIPS.
[87] P. Dayan,et al. Goals and Habits in the Brain , 2013, Neuron.
[88] Sven Jahnke,et al. A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples , 2015, The Journal of Neuroscience.
[89] Wulfram Gerstner,et al. Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail , 2009, PLoS Comput. Biol..
[90] J. Lisman,et al. Storage, recall, and novelty detection of sequences by the hippocampus: Elaborating on the SOCRATIC model to account for normal and aberrant effects of dopamine , 2001, Hippocampus.
[91] R. Passingham. The hippocampus as a cognitive map J. O'Keefe & L. Nadel, Oxford University Press, Oxford (1978). 570 pp., £25.00 , 1979, Neuroscience.
[92] K. Reymann,et al. A post-tetanic time window for the reinforcement of long-term potentiation by appetitive and aversive stimuli. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[93] John J Hopfield,et al. Neurodynamics of mental exploration , 2009, Proceedings of the National Academy of Sciences.
[94] L. Frank,et al. Awake Hippocampal Sharp-Wave Ripples Support Spatial Memory , 2012, Science.
[95] Matthijs A. A. van der Meer,et al. Hippocampal Replay Is Not a Simple Function of Experience , 2010, Neuron.
[96] Antal Berényi,et al. Role of Hippocampal CA2 Region in Triggering Sharp-Wave Ripples , 2016, Neuron.
[97] O Jensen,et al. Theta/gamma networks with slow NMDA channels learn sequences and encode episodic memory: role of NMDA channels in recall. , 1996, Learning & memory.
[98] N. Burgess. The 2014 Nobel Prize in Physiology or Medicine: A Spatial Model for Cognitive Neuroscience , 2014, Neuron.
[99] H. Sompolinsky,et al. Theory of orientation tuning in visual cortex. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[100] L. Colgin,et al. Slow gamma rhythms in CA3 are entrained by slow gamma activity in the dentate gyrus. , 2016, Journal of neurophysiology.
[101] Arne D. Ekstrom,et al. NMDA Receptor Antagonism Blocks Experience-Dependent Expansion of Hippocampal “Place Fields” , 2001, Neuron.
[102] Javier Baladron,et al. Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition , 2016, ICANN.
[103] Margaret F. Carr,et al. Hippocampal SWR Activity Predicts Correct Decisions during the Initial Learning of an Alternation Task , 2013, Neuron.
[104] Nicole M. Long,et al. Successful memory formation is driven by contextual encoding in the core memory network , 2015, NeuroImage.
[105] Charlotte N. Boccara,et al. Superficial layers of the medial entorhinal cortex replay independently of the hippocampus , 2017, Science.
[106] Andrew Philippides,et al. Dual Coding with STDP in a Spiking Recurrent Neural Network Model of the Hippocampus , 2010, PLoS Comput. Biol..
[107] Marco Idiart,et al. Grid Cells and Place Cells: An Integrated View of their Navigational and Memory Function , 2015, Trends in Neurosciences.
[108] Brad E. Pfeiffer,et al. Hippocampal place cell sequences depict future paths to remembered goals , 2013, Nature.
[109] Szabolcs Káli,et al. Mechanisms of Sharp Wave Initiation and Ripple Generation , 2014, The Journal of Neuroscience.
[110] D Marr,et al. Simple memory: a theory for archicortex. , 1971, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[111] David K Bilkey,et al. Place, space, and taste: Combining context and spatial information in a hippocampal navigation system , 2012, Hippocampus.
[112] D. Durstewitz,et al. Contextual encoding by ensembles of medial prefrontal cortex neurons , 2012, Proceedings of the National Academy of Sciences.
[113] Mattias P. Karlsson,et al. A hippocampal network for spatial coding during immobility and sleep , 2016, Nature.
[114] Angelo Arleo,et al. Rapid response of head direction cells to reorienting visual cues: a computational model , 2004, Neurocomputing.
[115] J. Rawlins,et al. Dissecting Spatial Knowledge from Spatial Choice by Hippocampal NMDA Receptor Deletion , 2012, Nature Neuroscience.
[116] J. O’Neill,et al. Place-selective firing contributes to the reverse-order reactivation of CA1 pyramidal cells during sharp waves in open-field exploration , 2007, The European journal of neuroscience.
[117] Wulfram Gerstner,et al. Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells , 2004, Journal of Computational Neuroscience.
[118] Wulfram Gerstner,et al. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. , 2005, Journal of neurophysiology.