Optimal Population Codes for Space: Grid Cells Outperform Place Cells
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[1] A. Treves,et al. Distinct Ensemble Codes in Hippocampal Areas CA3 and CA1 , 2004, Science.
[2] E. L. Lehmann,et al. Theory of point estimation , 1950 .
[3] M. Stemmler,et al. Multiscale codes in the nervous system: the problem of noise correlations and the ambiguity of periodic scales. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[4] Roland Vollgraf,et al. From grids to places , 2007, Journal of Computational Neuroscience.
[5] M. Fyhn,et al. Progressive increase in grid scale from dorsal to ventral medial entorhinal cortex , 2008, Hippocampus.
[6] M. Hasselmo,et al. Coupled Noisy Spiking Neurons as Velocity-Controlled Oscillators in a Model of Grid Cell Spatial Firing , 2010, The Journal of Neuroscience.
[7] Charlotte N. Boccara,et al. Grid cells in pre- and parasubiculum , 2010, Nature Neuroscience.
[8] Christian F. Doeller,et al. Evidence for grid cells in a human memory network , 2010, Nature.
[9] W. Newsome,et al. The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.
[10] K. Jeffery,et al. Experience-dependent rescaling of entorhinal grids , 2007, Nature Neuroscience.
[11] G. Buzsáki. Rhythms of the brain , 2006 .
[12] William R. Softky,et al. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[13] May-Britt Moser,et al. Place cells, spatial maps and the population code for memory , 2005, Current Opinion in Neurobiology.
[14] Alexander Mathis,et al. Resolution of nested neuronal representations can be exponential in the number of neurons. , 2012, Physical review letters.
[15] M J West,et al. Neuron numbers in the presubiculum, parasubiculum, and entorhinal area of the rat , 1997, The Journal of comparative neurology.
[16] Herz Andreas,et al. Single-run phase precession in entorhinal grid cells , 2010 .
[17] Christian W. Eurich,et al. Multidimensional Encoding Strategy of Spiking Neurons , 2000, Neural Computation.
[18] J. O’Keefe,et al. Grid cells and theta as oscillatory interference: Electrophysiological data from freely moving rats , 2008, Hippocampus.
[19] J. O’Keefe,et al. An oscillatory interference model of grid cell firing , 2007, Hippocampus.
[20] G. Buzsáki,et al. Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[21] Ila R Fiete,et al. What Grid Cells Convey about Rat Location , 2008, The Journal of Neuroscience.
[22] 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.
[23] Christian W. Eurich,et al. Representational Accuracy of Stochastic Neural Populations , 2002, Neural Computation.
[24] B L McNaughton,et al. Dynamics of the hippocampal ensemble code for space. , 1993, Science.
[25] Boris S. Gutkin,et al. Democracy-Independence Trade-Off in Oscillating Dendrites and Its Implications for Grid Cells , 2010, Neuron.
[26] A. Treves,et al. Hippocampal remapping and grid realignment in entorhinal cortex , 2007, Nature.
[27] Simon M Stringer,et al. Entorhinal cortex grid cells can map to hippocampal place cells by competitive learning , 2006, Network.
[28] Paul F M J Verschure,et al. Prediction of the position of an animal based on populations of grid and place cells: a comparative simulation study. , 2007, Journal of integrative neuroscience.
[29] Herz Andreas. Movement Related Statistics of Grid Cell Firing , 2010 .
[30] R. Zemel,et al. Inference and computation with population codes. , 2003, Annual review of neuroscience.
[31] Peter E. Latham,et al. Narrow Versus Wide Tuning Curves: What's Best for a Population Code? , 1999, Neural Computation.
[32] Yoram Burak,et al. Triangular lattice neurons may implement an advanced numeral system to precisely encode rat position over large ranges , 2006 .
[33] Terrence J. Sejnowski,et al. Neuronal Tuning: To Sharpen or Broaden? , 1999, Neural Computation.
[34] G. Einevoll,et al. From grid cells to place cells: A mathematical model , 2006, Hippocampus.
[35] T. Hafting,et al. Finite Scale of Spatial Representation in the Hippocampus , 2008, Science.
[36] H Sompolinsky,et al. Simple models for reading neuronal population codes. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[37] G. Buzsáki,et al. Intrinsic Circuit Organization and Theta–Gamma Oscillation Dynamics in the Entorhinal Cortex of the Rat , 2010, The Journal of Neuroscience.
[38] Emilio Salinas,et al. Vector reconstruction from firing rates , 1994, Journal of Computational Neuroscience.
[39] Yoram Burakyy,et al. Accurate Path Integration in Continuous Attractor Network Models of Grid Cells , 2009 .
[40] R. Passingham. The hippocampus as a cognitive map J. O'Keefe & L. Nadel, Oxford University Press, Oxford (1978). 570 pp., £25.00 , 1979, Neuroscience.
[41] Torkel Hafting,et al. Conjunctive Representation of Position, Direction, and Velocity in Entorhinal Cortex , 2006, Science.
[42] M. Paradiso,et al. A theory for the use of visual orientation information which exploits the columnar structure of striate cortex , 2004, Biological Cybernetics.
[43] M. Fyhn,et al. Spatial Representation in the Entorhinal Cortex , 2004, Science.
[44] Lisa M. Giocomo,et al. Temporal Frequency of Subthreshold Oscillations Scales with Entorhinal Grid Cell Field Spacing , 2007, Science.
[45] Neil Burgess,et al. Optimal configurations of spatial scale for grid cell firing under noise and uncertainty , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[46] K. Jeffery. Self-localization and the entorhinal–hippocampal system , 2007, Current Opinion in Neurobiology.
[47] Nicolas Brunel,et al. Mutual Information, Fisher Information, and Population Coding , 1998, Neural Computation.
[48] Sachin S. Deshmukh,et al. Theta modulation in the medial and the lateral entorhinal cortices. , 2010, Journal of neurophysiology.
[49] William W Lytton,et al. Unmasking the CA1 Ensemble Place Code by Exposures to Small and Large Environments: More Place Cells and Multiple, Irregularly Arranged, and Expanded Place Fields in the Larger Space , 2008, The Journal of Neuroscience.
[50] Alexander Mathis,et al. How good is grid coding versus place coding for navigation using noisy, spiking neurons? , 2010, BMC Neuroscience.
[51] Daniel L. Schacter,et al. Spatial Representation in the Entorhinal Cortex , 2004 .
[52] Kenneth D Harris,et al. Theta-Mediated Dynamics of Spatial Information in Hippocampus , 2008, The Journal of Neuroscience.
[53] Mark C. Fuhs,et al. A Spin Glass Model of Path Integration in Rat Medial Entorhinal Cortex , 2006, The Journal of Neuroscience.
[54] Frank Loren. From grid cells to place cells: a generic and robust principle accounts for multiple spatial Maps , 2010 .
[55] Bruce L. McNaughton,et al. Path integration and the neural basis of the 'cognitive map' , 2006, Nature Reviews Neuroscience.
[56] Yasser Roudi,et al. Network mechanisms of grid cells , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[57] J. O'Keefe,et al. The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. , 1971, Brain research.
[58] R. Muller,et al. Attention-Like Modulation of Hippocampus Place Cell Discharge , 2010, The Journal of Neuroscience.
[59] Kamran Diba,et al. Temporal delays among place cells determine the frequency of population theta oscillations in the hippocampus , 2010, Proceedings of the National Academy of Sciences.
[60] R. Muller,et al. Head-direction cells recorded from the postsubiculum in freely moving rats. II. Effects of environmental manipulations , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[61] Peter Dayan,et al. Fast Population Coding , 2007, Neural Computation.
[62] M. Nolan,et al. Tuning of Synaptic Integration in the Medial Entorhinal Cortex to the Organization of Grid Cell Firing Fields , 2008, Neuron.
[63] Edvard I. Moser,et al. Grid Cells and Neural Coding in High-End Cortices , 2013, Neuron.
[64] Alessandro Treves,et al. A model for the differentiation between grid and conjunctive units in medial entorhinal cortex , 2013, Hippocampus.
[65] Matthew A. Wilson,et al. Neural Representation of Spatial Topology in the Rodent Hippocampus , 2013, Neural Computation.
[66] Lisa M. Giocomo,et al. Grid cell firing may arise from interference of theta frequency membrane potential oscillations in single neurons , 2007, Hippocampus.
[67] Jadin C. Jackson,et al. Network dynamics of hippocampal cell‐assemblies resemble multiple spatial maps within single tasks , 2007, Hippocampus.
[68] Jason Cong,et al. Oscillatory neurocomputing with ring attractors: a network architecture for mapping locations in space onto patterns of neural synchrony , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[69] 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.
[70] T. Hafting,et al. Microstructure of a spatial map in the entorhinal cortex , 2005, Nature.
[71] R. K. Simpson. Nature Neuroscience , 2022 .
[72] Jonathan R. Whitlock,et al. Fragmentation of grid cell maps in a multicompartment environment , 2009, Nature Neuroscience.
[73] J. O’Keefe. Place units in the hippocampus of the freely moving rat , 1976, Experimental Neurology.
[74] M. Moser,et al. Pattern Separation in the Dentate Gyrus and CA3 of the Hippocampus , 2007, Science.
[75] Herz Andreas. Exponential Scaling of Nested Neuronal Representations , 2011 .
[76] Alessandro Treves,et al. The role of competitive learning in the generation of DG fields from EC inputs , 2009, Cognitive Neurodynamics.
[77] F. Attneave. Some informational aspects of visual perception. , 1954, Psychological review.
[78] N. Schmajuk. Cognitive maps , 1998 .
[79] Yonina C. Eldar,et al. Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration , 2009, Neural Computation.
[80] N. Burgess. Grid cells and theta as oscillatory interference: Theory and predictions , 2008, Hippocampus.
[81] W. Michael Brown,et al. Optimal Neuronal Tuning for Finite Stimulus Spaces , 2004, Neural Computation.
[82] Matthias Bethge,et al. Optimal Short-Term Population Coding: When Fisher Information Fails , 2002, Neural Computation.
[83] Alessandro Treves,et al. The emergence of grid cells: Intelligent design or just adaptation? , 2008, Hippocampus.
[84] T. Hafting,et al. Hippocampus-independent phase precession in entorhinal grid cells , 2008, Nature.
[85] Stephen Grossberg,et al. Grid cell hexagonal patterns formed by fast self‐organized learning within entorhinal cortex , 2012, Hippocampus.
[86] J. O’Keefe,et al. Phase relationship between hippocampal place units and the EEG theta rhythm , 1993, Hippocampus.