Attractor neural networks storing multiple space representations: A model for hippocampal place fields
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A recurrent neural network model storing multiple spatial maps, or ``charts'', is analyzed, and results suggest a quantitative parallel between theories of hippocampal function in different animal species, such as primates and rodents.Abstract:
A recurrent neural network model storing multiple spatial maps, or ``charts,'' is analyzed. A network of this type has been suggested as a model for the origin of place cells in the hippocampus of rodents. The extremely diluted and fully connected limits are studied, and the storage capacity and the information capacity are found. The important parameters determining the performance of the network are the sparsity of the spatial representations and the degree of connectivity, as found already for the storage of individual memory patterns in the general theory of autoassociative networks. Such results suggest a quantitative parallel between theories of hippocampal function in different animal species, such as primates (episodic memory) and rodents (memory for space).read more
Citations
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Path integration and the neural basis of the 'cognitive map'
Bruce L. McNaughton,Bruce L. McNaughton,Francesco P. Battaglia,Ole Jensen,Edvard I. Moser,May-Britt Moser +5 more
TL;DR: Theoretical studies suggest that the medial entorhinal cortex might perform some of the essential underlying computations by means of a unique, periodic synaptic matrix that could be self-organized in early development through a simple, symmetry-breaking operation.
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Place Cells, Grid Cells, and the Brain's Spatial Representation System
TL;DR: How place cells and grid cells may form the basis for quantitative spatiotemporal representation of places, routes, and associated experiences during behavior and in memory is reviewed.
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Hippocampal remapping and grid realignment in entorhinal cortex
Marianne Fyhn,Torkel Hafting,Alessandro Treves,Alessandro Treves,May-Britt Moser,Edvard I. Moser +5 more
TL;DR: The nature of hippocampal remapping can be predicted by ensemble dynamics in place-selective grid cells in the medial entorhinal cortex, one synapse upstream of the hippocampus, and is shown to be associated with stable grid fields.
Journal ArticleDOI
A computational theory of hippocampal function, and empirical tests of the theory
TL;DR: An up-to-date computational theory of hippocampal function and the predictions it makes about the different subregions (dentate gyrus, CA3 and CA1) are presented, and behavioral and electrophysiological data that address the functions of the hippocampus and particularly its subregion are examined.
Journal ArticleDOI
The mechanisms for pattern completion and pattern separation in the hippocampus
TL;DR: The mechanisms for pattern completion and pattern separation are described in the context of a theory of hippocampal function in which the hippocampal CA3 system operates as a single attractor or autoassociation network to enable rapid, one-trial, associations between any spatial location and an object or reward.
References
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Dynamics of the hippocampal ensemble code for space
TL;DR: Parallel recording methods outlined here make possible the study of the dynamics of neuronal interactions during unique behavioral events, which suggests that new spatial information creates conditions in the hippocampal circuitry that are conducive to the synaptic modification presumed to be involved in learning.
MonographDOI
Modelling Brain Function: The World of Attractor Neural Networks
TL;DR: From the Publisher: Substantial progress in understanding memory, the learning process, and self-organization by studying the properties of models of neural networks have resulted in discoveries of important parallels between the property of statistical, nonlinear cooperative systems in physics and neural networks.
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Path integration and cognitive mapping in a continuous attractor neural network model
TL;DR: The model provides an explanation for a number of hitherto perplexing observations on hippocampal place fields, including doubling, vanishing, reshaping in distorted environments, acquiring directionality in a two-goal shuttling task, rapid formation in a novel environment, and slow rotation after disorientation.
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Primate motor cortex and free arm movements to visual targets in three-dimensional space. II. Coding of the direction of movement by a neuronal population.
TL;DR: A code by which a population of motor cortical neurons could determine uniquely the direction of reaching movements in three- dimensional space is described.