What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior
暂无分享,去创建一个
Zeb Kurth-Nelson | Shirley Mark | Timothy E. J. Behrens | Timothy H. Muller | James C. R. Whittington | Kimberly L. Stachenfeld | Z. Kurth-Nelson | K. Stachenfeld | T. Muller | Shirley Mark | A. Baram | T. Behrens
[1] Anne E Carpenter,et al. Neuron-type specific signals for reward and punishment in the ventral tegmental area , 2011, Nature.
[2] J. O’Keefe,et al. Neural Representations of Location Composed of Spatially Periodic Bands , 2012, Science.
[3] Ron Meir,et al. Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis , 2016, eLife.
[4] Nathaniel J. Killian,et al. Grid cells map the visual world , 2017, Nature Neuroscience.
[5] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[6] J. DiCarlo,et al. Using goal-driven deep learning models to understand sensory cortex , 2016, Nature Neuroscience.
[7] Timothy Edward John Behrens,et al. Reward-Guided Learning with and without Causal Attribution , 2016, Neuron.
[8] Timothy E. J. Behrens,et al. Learning the value of information in an uncertain world , 2007, Nature Neuroscience.
[9] Joel Z. Leibo,et al. Prefrontal cortex as a meta-reinforcement learning system , 2018, bioRxiv.
[10] J. Delacour,et al. Effects of selective lesions of Fimbria-Fornix on learning set in the rat , 1987, Physiology & Behavior.
[11] Regina Paxton Gazes,et al. Cognitive mechanisms for transitive inference performance in rhesus monkeys: measuring the influence of associative strength and inferred order. , 2012, Journal of experimental psychology. Animal behavior processes.
[12] Marcin Andrychowicz,et al. Learning to learn by gradient descent by gradient descent , 2016, NIPS.
[13] Joshua B. Tenenbaum,et al. Human-level concept learning through probabilistic program induction , 2015, Science.
[14] Christian F. Doeller,et al. Evidence for grid cells in a human memory network , 2010, Nature.
[15] Yoram Burak,et al. Accurate Path Integration in Continuous Attractor Network Models of Grid Cells , 2008, PLoS Comput. Biol..
[16] Pablo E. Jercog,et al. Neural ensemble dynamics underlying a long-term associative memory , 2017, Nature.
[17] Dylan A. Simon,et al. Model-based choices involve prospective neural activity , 2015, Nature Neuroscience.
[18] G. Winocur,et al. Higher-Order Conditioning Is Impaired by Hippocampal Lesions , 2014, Current Biology.
[19] 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.
[20] Transitive Inference Formation in Pigeons , 2019 .
[21] Raymond J Dolan,et al. A map of abstract relational knowledge in the human hippocampal–entorhinal cortex , 2017, eLife.
[22] J. Gold,et al. The neural basis of decision making. , 2007, Annual review of neuroscience.
[23] Thomas R. Zentall,et al. Transitive inference in pigeons , 1991 .
[24] Sachin S. Deshmukh,et al. Influence of local objects on hippocampal representations: Landmark vectors and memory , 2013, Hippocampus.
[25] Robert C. Wilson,et al. Orbitofrontal Cortex as a Cognitive Map of Task Space , 2014, Neuron.
[26] Neil Burgess,et al. Using Grid Cells for Navigation , 2015, Neuron.
[27] Nathaniel D. Daw,et al. Grid Cells, Place Cells, and Geodesic Generalization for Spatial Reinforcement Learning , 2011, PLoS Comput. Biol..
[28] H. Terrace,et al. Transitive inference in humans and rhesus macaques after massed training of the last two list items , 2016, bioRxiv.
[29] F. R. Treichler,et al. Concurrent conditional discrimination tests of transitive inference by macaque monkeys: list linking. , 1996, Journal of experimental psychology. Animal behavior processes.
[30] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[31] Dmitriy Aronov,et al. Mapping of a non-spatial dimension by the hippocampal/entorhinal circuit , 2017, Nature.
[32] Timothy E.J. Behrens,et al. Intuitive planning: global navigation through cognitive maps based on grid-like codes , 2018 .
[33] M. Andersson,et al. Independent Codes for Spatial and Episodic Memory in Hippocampal Neuronal Ensembles , 2005 .
[34] Yoram Burakyy,et al. Accurate Path Integration in Continuous Attractor Network Models of Grid Cells , 2009 .
[35] Timothy Edward John Behrens,et al. Separable Learning Systems in the Macaque Brain and the Role of Orbitofrontal Cortex in Contingent Learning , 2010, Neuron.
[36] E. Bostock,et al. Experience‐dependent modifications of hippocampal place cell firing , 1991, Hippocampus.
[37] R. Passingham. The hippocampus as a cognitive map J. O'Keefe & L. Nadel, Oxford University Press, Oxford (1978). 570 pp., £25.00 , 1979, Neuroscience.
[38] Timothy Edward John Behrens,et al. Two Anatomically and Computationally Distinct Learning Signals Predict Changes to Stimulus-Outcome Associations in Hippocampus , 2016, Neuron.
[39] P. Dayan,et al. Adaptive integration of habits into depth-limited planning defines a habitual-goal–directed spectrum , 2016, Proceedings of the National Academy of Sciences.
[40] J. Lisman,et al. D1/D5 Dopamine Receptor Activation Increases the Magnitude of Early Long-Term Potentiation at CA1 Hippocampal Synapses , 1996, The Journal of Neuroscience.
[41] J. O’Keefe,et al. Grid cell firing patterns signal environmental novelty by expansion , 2012, Proceedings of the National Academy of Sciences.
[42] Fabian Grabenhorst,et al. A dynamic code for economic object valuation in prefrontal cortex neurons , 2016, Nature Communications.
[43] Treichler Fr,et al. Concurrent conditional discrimination tests of transitive inference by macaque monkeys: list linking. , 1996 .
[44] Timothy E. J. Behrens,et al. Review Frontal Cortex and Reward-guided Learning and Decision-making Figure 1. Frontal Brain Regions in the Macaque Involved in Reward-guided Learning and Decision-making Finer Grained Anatomical Divisions with Frontal Cortical Systems for Reward-guided Behavior , 2022 .
[45] Csaba Szepesvári,et al. Bandit Based Monte-Carlo Planning , 2006, ECML.
[46] Peter Dayan,et al. Improving Generalization for Temporal Difference Learning: The Successor Representation , 1993, Neural Computation.
[47] Timothy E. J. Behrens,et al. Online evaluation of novel choices by simultaneous representation of multiple memories , 2013, Nature Neuroscience.
[48] Russell A. Epstein,et al. Human entorhinal cortex represents visual space using a boundary-anchored grid , 2017, Nature Neuroscience.
[49] P. Dayan,et al. Model-based influences on humans’ choices and striatal prediction errors , 2011, Neuron.
[50] P. Dayan,et al. Cortical substrates for exploratory decisions in humans , 2006, Nature.
[51] E. Lein,et al. Functional organization of the hippocampal longitudinal axis , 2014, Nature Reviews Neuroscience.
[52] Matthew T. Kaufman,et al. A neural network that finds a naturalistic solution for the production of muscle activity , 2015, Nature Neuroscience.
[53] T. Cornsweet,et al. The staircrase-method in psychophysics. , 1962, The American journal of psychology.
[54] Camillo Padoa-Schioppa,et al. Neuronal Remapping and Circuit Persistence in Economic Decisions , 2016, Nature Neuroscience.
[55] M. Fyhn,et al. Progressive increase in grid scale from dorsal to ventral medial entorhinal cortex , 2008, Hippocampus.
[56] W. Schultz,et al. Retroactive modulation of spike timing-dependent plasticity by dopamine , 2015, eLife.
[57] J. Gibson. The Senses Considered As Perceptual Systems , 1967 .
[58] Nicolas W. Schuck,et al. Human Orbitofrontal Cortex Represents a Cognitive Map of State Space , 2016, Neuron.
[59] Kevin J. Miller,et al. Value representations in the rodent orbitofrontal cortex drive learning, not choice , 2018, bioRxiv.
[60] Razvan Pascanu,et al. Overcoming catastrophic forgetting in neural networks , 2016, Proceedings of the National Academy of Sciences.
[61] D. Hassabis,et al. Hippocampal place cells construct reward related sequences through unexplored space , 2015, eLife.
[62] KiJung Yoon,et al. Grid Cell Responses in 1D Environments Assessed as Slices through a 2D Lattice , 2016, Neuron.
[63] T. Toyoizumi,et al. Spatial representations of self and other in the hippocampus , 2018, Science.
[64] David Gaffan,et al. Frontal-temporal disconnection abolishes object discrimination learning set in macaque monkeys. , 2006, Cerebral cortex.
[65] Transitive inference in humans and rhesus macaques after massed training of the last two list items , 2016 .
[66] T. Robbins,et al. Differential Contributions of the Primate Ventrolateral Prefrontal and Orbitofrontal Cortex to Serial Reversal Learning , 2010, The Journal of Neuroscience.
[67] Sho Yagishita,et al. A critical time window for dopamine actions on the structural plasticity of dendritic spines , 2014, Science.
[68] H. Yamahachi,et al. Hippocampal Remapping after Partial Inactivation of the Medial Entorhinal Cortex , 2015, Neuron.
[69] R. Buckner,et al. Opinion TRENDS in Cognitive Sciences Vol.11 No.2 Self-projection and the brain , 2022 .
[70] F. Heider,et al. An experimental study of apparent behavior , 1944 .
[71] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[72] N. Ulanovsky,et al. Social place-cells in the bat hippocampus , 2018, Science.
[73] M. Botvinick,et al. Neural representations of events arise from temporal community structure , 2013, Nature Neuroscience.
[74] C. Koch,et al. Invariant visual representation by single neurons in the human brain , 2005, Nature.
[75] C. H. Honzik,et al. Degrees of hunger, reward and non-reward, and maze learning in rats, and Introduction and removal of reward, and maze performance in rats , 1930 .
[76] R U Muller,et al. Head-direction cells recorded from the postsubiculum in freely moving rats. I. Description and quantitative analysis , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[77] Kevin J. Miller,et al. Dorsal hippocampus contributes to model-based planning , 2017, Nature Neuroscience.
[78] T. Hafting,et al. Microstructure of a spatial map in the entorhinal cortex , 2005, Nature.
[79] E. Tolman. Cognitive maps in rats and men. , 1948, Psychological review.
[80] Surya Ganguli,et al. Continual Learning Through Synaptic Intelligence , 2017, ICML.
[81] Andrew M. Wikenheiser,et al. Suppression of Ventral Hippocampal Output Impairs Integrated Orbitofrontal Encoding of Task Structure , 2017, Neuron.
[82] P. Dayan,et al. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control , 2005, Nature Neuroscience.
[83] 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.
[84] Sepp Hochreiter,et al. Learning to Learn Using Gradient Descent , 2001, ICANN.
[85] J. O’Keefe,et al. Boundary Vector Cells in the Subiculum of the Hippocampal Formation , 2009, The Journal of Neuroscience.
[86] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[87] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[88] Andrew M. Wikenheiser,et al. Over the river, through the woods: cognitive maps in the hippocampus and orbitofrontal cortex , 2016, Nature Reviews Neuroscience.
[89] H. Eichenbaum,et al. Evolution of declarative memory , 2006, Hippocampus.
[90] Peter Dayan,et al. A Neural Substrate of Prediction and Reward , 1997, Science.
[91] E. Koechlin,et al. The Architecture of Cognitive Control in the Human Prefrontal Cortex , 2003, Science.
[92] Razvan Pascanu,et al. Vector-based navigation using grid-like representations in artificial agents , 2018, Nature.
[93] Michael L. Platt,et al. Neural correlates of decision variables in parietal cortex , 1999, Nature.
[94] Peter Dayan,et al. Interplay of approximate planning strategies , 2015, Proceedings of the National Academy of Sciences.
[95] E. Tolman,et al. Studies in spatial learning: Orientation and the short-cut. , 1946, Journal of experimental psychology.
[96] H. Eichenbaum,et al. The hippocampus and memory for orderly stimulus relations. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[97] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.
[98] Kenneth A. Norman,et al. Offline Replay Supports Planning: fMRI Evidence from Reward Revaluation , 2017, bioRxiv.
[99] Joshua L. Jones,et al. Orbitofrontal Cortex Supports Behavior and Learning Using Inferred But Not Cached Values , 2012, Science.
[100] M. Botvinick,et al. The hippocampus as a predictive map , 2016 .
[101] H. Harlow,et al. The formation of learning sets. , 1949, Psychological review.
[102] M. Shapiro,et al. A Map for Social Navigation in the Human Brain , 2015, Neuron.
[103] Hava T. Siegelmann,et al. On the Computational Power of Neural Nets , 1995, J. Comput. Syst. Sci..
[104] A. Treves,et al. Hippocampal remapping and grid realignment in entorhinal cortex , 2007, Nature.
[105] B. McGonigle,et al. Are monkeys logical? , 1977, Nature.
[106] Robert C. Wilson,et al. Expectancy-related changes in firing of dopamine neurons depend on orbitofrontal cortex , 2011, Nature Neuroscience.
[107] Vincent P. Ferrera,et al. Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model , 2015, PLoS Comput. Biol..
[108] E. Wasserman,et al. Transitive inference in pigeons: Measuring the associative values of Stimuli B and D , 2012, Behavioural Processes.
[109] Roddy M. Grieves,et al. The representation of space in the brain , 2017, Behavioural Processes.
[110] Jeffrey L. Gauthier,et al. A Dedicated Population for Reward Coding in the Hippocampus , 2018, Neuron.
[111] E. Miller,et al. An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.
[112] E. Murray,et al. The Orbitofrontal Oracle: Cortical Mechanisms for the Prediction and Evaluation of Specific Behavioral Outcomes , 2014, Neuron.
[113] Timothy Edward John Behrens,et al. Generalisation of structural knowledge in the Hippocampal-Entorhinal system , 2018, NeurIPS.
[114] M. Botvinick,et al. The successor representation in human reinforcement learning , 2016, Nature Human Behaviour.
[115] D. Amaral,et al. Entorhinal Cortex Lesions Disrupt the Relational Organization of Memory in Monkeys , 2004, The Journal of Neuroscience.
[116] Timothy Edward John Behrens,et al. The Neural Network Underlying Incentive-Based Learning: Implications for Interpreting Circuit Disruptions in Psychiatric Disorders , 2014, Neuron.
[117] C. Padoa-Schioppa,et al. Neurons in the orbitofrontal cortex encode economic value , 2006, Nature.
[118] Xue-Xin Wei,et al. Emergence of grid-like representations by training recurrent neural networks to perform spatial localization , 2018, ICLR.
[119] H. Eichenbaum,et al. The global record of memory in hippocampal neuronal activity , 1999, Nature.
[120] J. Staddon,et al. Transitive inference formation in pigeons. , 1991 .
[121] Alexander Mathis,et al. Connecting multiple spatial scales to decode the population activity of grid cells , 2015, Science Advances.
[122] Daniel Tranel,et al. The Human Ventromedial Prefrontal Cortex Is Critical for Transitive Inference , 2012, Journal of Cognitive Neuroscience.
[123] W. Newsome,et al. Context-dependent computation by recurrent dynamics in prefrontal cortex , 2013, Nature.
[124] Charles Kemp,et al. The discovery of structural form , 2008, Proceedings of the National Academy of Sciences.
[125] Karl J. Friston,et al. Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning , 2004, Science.
[126] Tobias Navarro Schröder,et al. Hexadirectional coding of visual space in human entorhinal cortex , 2018, Nature Neuroscience.
[127] Øyvind Arne Høydal,et al. Object-vector coding in the medial entorhinal cortex , 2019, Nature.
[128] E. Murray,et al. Dissociable Effects of Subtotal Lesions within the Macaque Orbital Prefrontal Cortex on Reward-Guided Behavior , 2011, The Journal of Neuroscience.
[129] Joshua B. Tenenbaum,et al. Building machines that learn and think like people , 2016, Behavioral and Brain Sciences.
[130] D. Hassabis,et al. Patients with hippocampal amnesia cannot imagine new experiences , 2007, Proceedings of the National Academy of Sciences.
[131] Nachum Ulanovsky,et al. Vectorial representation of spatial goals in the hippocampus of bats , 2017, Science.
[132] I. Fried,et al. Direct recordings of grid-like neuronal activity in human spatial navigation , 2013, Nature Neuroscience.
[133] M. Moser,et al. Representation of Geometric Borders in the Entorhinal Cortex , 2008, Science.
[134] Adam Johnson,et al. Cognitive Neural Ensembles in CA 3 Transiently Encode Paths Forward of the Animal at a Decision Point , 2007 .
[135] H. Eichenbaum,et al. Robust Conjunctive Item–Place Coding by Hippocampal Neurons Parallels Learning What Happens Where , 2009, The Journal of Neuroscience.
[136] Surya Ganguli,et al. A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex , 2017, Neuron.
[137] Timothy E. J. Behrens,et al. Organizing conceptual knowledge in humans with a gridlike code , 2016, Science.