Are place cells just memory cells? Memory compression leads to spatial tuning and history dependence
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[1] Bruno A. Olshausen,et al. The Sparse Manifold Transform , 2018, NeurIPS.
[2] Blake S. Porter,et al. Hippocampal Representation of Related and Opposing Memories Develop within Distinct, Hierarchically Organized Neural Schemas , 2014, Neuron.
[3] Nicholas B. Turk-Browne,et al. Complementary learning systems within the hippocampus: A neural network modeling approach to reconciling episodic memory with statistical learning , 2016, bioRxiv.
[4] M. Moser,et al. Understanding memory through hippocampal remapping , 2008, Trends in Neurosciences.
[5] Stefano Fusi,et al. Why neurons mix: high dimensionality for higher cognition , 2016, Current Opinion in Neurobiology.
[6] Edmund T. Rolls,et al. What determines the capacity of autoassociative memories in the brain? Network , 1991 .
[7] Richard G. Baraniuk,et al. Sparse Coding via Thresholding and Local Competition in Neural Circuits , 2008, Neural Computation.
[8] Haim Sompolinsky,et al. Optimal Degrees of Synaptic Connectivity , 2017, Neuron.
[9] M. Moser,et al. Representation of Geometric Borders in the Entorhinal Cortex , 2008, Science.
[10] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[11] James L. McClelland,et al. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.
[12] R. Muller,et al. Place cell discharge is extremely variable during individual passes of the rat through the firing field. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[13] G. Winocur,et al. Memory for familiar environments learned in the remote past: fMRI studies of healthy people and an amnesic person with extensive bilateral hippocampal lesions , 2007, Hippocampus.
[14] R. O’Reilly,et al. Opinion TRENDS in Cognitive Sciences Vol.6 No.12 December 2002 , 2022 .
[15] Andrew M. Wikenheiser,et al. Changes in reward contingency modulate the trial-to-trial variability of hippocampal place cells. , 2011, Journal of neurophysiology.
[16] Zhisen J Urgolites,et al. Map reading, navigating from maps, and the medial temporal lobe , 2016, Proceedings of the National Academy of Sciences.
[17] J. O’Keefe,et al. Boundary Vector Cells in the Subiculum of the Hippocampal Formation , 2009, The Journal of Neuroscience.
[18] Per B. Sederberg,et al. The Successor Representation and Temporal Context , 2012, Neural Computation.
[19] G. Buzsáki,et al. Single granule cells reliably discharge targets in the hippocampal CA3 network in vivo , 2002, Nature Neuroscience.
[20] M. Tsodyks,et al. The Enhanced Storage Capacity in Neural Networks with Low Activity Level , 1988 .
[21] A. Redish. Beyond the Cognitive Map: From Place Cells to Episodic Memory , 1999 .
[22] Attila Losonczy,et al. Sublayer-Specific Coding Dynamics during Spatial Navigation and Learning in Hippocampal Area CA1 , 2016, Neuron.
[23] J. Nadal,et al. Information capacity of a perceptron , 1992 .
[24] Stefano Fusi,et al. A distributed neural code in ensembles of dentate gyrus granule cells , 2018, bioRxiv.
[25] Surya Ganguli,et al. Environmental Boundaries as an Error Correction Mechanism for Grid Cells , 2015, Neuron.
[26] Stefano Fusi. Computational models of long term plasticity and memory , 2017, 1706.04946.
[27] Moser Edvard,et al. Pattern Separation in the Dentate Gyrus , 2009 .
[28] Torkel Hafting,et al. Conjunctive Representation of Position, Direction, and Velocity in Entorhinal Cortex , 2006, Science.
[29] Simona Cocco,et al. ‘Place-cell’ emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space , 2019, Journal of Physics A: Mathematical and Theoretical.
[30] Sandro Romani,et al. The Statistical Structure of the Hippocampal Code for Space as a Function of Time, Context, and Value , 2019, Cell.
[31] C. Stark,et al. Pattern Separation in the Human Hippocampal CA3 and Dentate Gyrus , 2008, Science.
[32] Gutfreund. Neural networks with hierarchically correlated patterns. , 1988, Physical review. A, General physics.
[33] Samuel Gershman,et al. Design Principles of the Hippocampal Cognitive Map , 2014, NIPS.
[34] H. Eichenbaum. Barlow versus Hebb: When is it time to abandon the notion of feature detectors and adopt the cell assembly as the unit of cognition? , 2017, Neuroscience Letters.
[35] Kristin M. Scaplen,et al. Objects and landmarks: Hippocampal place cells respond differently to manipulations of visual cues depending on size, perspective, and experience , 2014, Hippocampus.
[36] Surya Ganguli,et al. Principles governing the integration of landmark and self-motion cues in entorhinal cortical codes for navigation , 2018, Nature Neuroscience.
[37] Marc W. Howard,et al. Predicting the Future with Multi-scale Successor Representations , 2018, bioRxiv.
[38] C. Stark,et al. Pattern separation in the hippocampus , 2011, Trends in Neurosciences.
[39] R. Clark. Current Topics Regarding the Function of the Medial Temporal Lobe Memory System. , 2018, Current topics in behavioral neurosciences.
[40] Daniel J. Amit,et al. Learning in Neural Networks with Material Synapses , 1994, Neural Computation.
[41] Surya Ganguli,et al. Cell types for our sense of location: where we are and where we are going , 2017, Nature Neuroscience.
[42] H. Eichenbaum. The role of the hippocampus in navigation is memory. , 2017, Journal of neurophysiology.
[43] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[44] James L. McClelland,et al. What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated , 2016, Trends in Cognitive Sciences.
[45] L F Abbott,et al. Modular Realignment of Entorhinal Grid Cell Activity as a Basis for Hippocampal Remapping , 2011, The Journal of Neuroscience.
[46] Stefano Fusi,et al. Prototype extraction in material attractor neural networks with stochastic dynamic learning , 1995, SPIE Defense + Commercial Sensing.
[47] I. Khalatnikov,et al. 30 Years of the Landau Institute — Selected Papers , 1996 .
[48] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[49] L. Nadel,et al. Viewpoints: how the hippocampus contributes to memory, navigation and cognition , 2017, Nature Neuroscience.
[50] Anirvan M. Sengupta,et al. Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks , 2018, bioRxiv.
[51] M. Moser,et al. Pattern Separation in the Dentate Gyrus and CA3 of the Hippocampus , 2007, Science.
[52] Lev B. Ioffe,et al. The Augmented Models of Associative Memory Asymmetric Interaction and Hierarchy of Patterns - Int. J. Mod. Phys. B1, 51 (1987) , 1987 .
[53] Dmitriy Aronov,et al. Mapping of a non-spatial dimension by the hippocampal/entorhinal circuit , 2017, Nature.
[54] S. Molden,et al. Accumulation of Hippocampal Place Fields at the Goal Location in an Annular Watermaze Task , 2001, The Journal of Neuroscience.
[55] R. Muller,et al. The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[56] J. O'Keefe,et al. The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. , 1971, Brain research.
[57] Anirvan M. Sengupta,et al. Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks? , 2017, Neural Computation.
[58] Lacey J. Kitch,et al. Long-term dynamics of CA1 hippocampal place codes , 2013, Nature Neuroscience.
[59] M. Gluck,et al. Hippocampal mediation of stimulus representation: A computational theory , 1993, Hippocampus.
[60] David J. Foster,et al. Memory and Space: Towards an Understanding of the Cognitive Map , 2015, The Journal of Neuroscience.
[61] Peter Dayan,et al. Improving Generalization for Temporal Difference Learning: The Successor Representation , 1993, Neural Computation.
[62] N. Alex Cayco-Gajic,et al. Re-evaluating Circuit Mechanisms Underlying Pattern Separation , 2019, Neuron.
[63] L. Abbott,et al. Cascade Models of Synaptically Stored Memories , 2005, Neuron.
[64] Xiao-Jing Wang,et al. The importance of mixed selectivity in complex cognitive tasks , 2013, Nature.
[65] G. Toulouse,et al. Ultrametricity for physicists , 1986 .
[66] Stefano Fusi,et al. Computational principles of synaptic memory consolidation , 2016, Nature Neuroscience.
[67] Surya Ganguli,et al. Emergent elasticity in the neural code for space , 2018, Proceedings of the National Academy of Sciences.
[68] Pablo E. Jercog,et al. Heading direction with respect to a reference point modulates place-cell activity , 2018, Nature Communications.
[69] Stefano Fusi,et al. A Distributed Neural Code in the Dentate Gyrus and in CA1 , 2020, Neuron.
[70] Surya Ganguli,et al. A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex , 2017, Neuron.
[71] Jill K. Leutgeb,et al. Grid and Nongrid Cells in Medial Entorhinal Cortex Represent Spatial Location and Environmental Features with Complementary Coding Schemes , 2017, Neuron.
[72] Stefano Fusi,et al. The Sparseness of Mixed Selectivity Neurons Controls the Generalization–Discrimination Trade-Off , 2013, The Journal of Neuroscience.
[73] W. Maass,et al. State-dependent computations: spatiotemporal processing in cortical networks , 2009, Nature Reviews Neuroscience.
[74] H. Sompolinsky,et al. Sparseness and Expansion in Sensory Representations , 2014, Neuron.
[75] Caswell Barry,et al. The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation , 2019, Cell.
[76] Eric Shea-Brown,et al. Signatures and mechanisms of low-dimensional neural predictive manifolds , 2018, bioRxiv.
[77] Edmund T. Rolls,et al. The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain , 1990 .
[78] James L. McClelland,et al. Considerations arising from a complementary learning systems perspective on hippocampus and neocortex , 1996, Hippocampus.