Document Detail

Grid cell hexagonal patterns formed by fast self-organized learning within entorhinal cortex.
MedLine Citation:
PMID:  21136517     Owner:  NLM     Status:  In-Data-Review    
Grid cells in the dorsal segment of the medial entorhinal cortex (dMEC) show remarkable hexagonal activity patterns, at multiple spatial scales, during spatial navigation. It has previously been shown how a self-organizing map can convert firing patterns across entorhinal grid cells into hippocampal place cells that are capable of representing much larger spatial scales. Can grid cell firing fields also arise during navigation through learning within a self-organizing map? This article describes a simple and general mathematical property of the trigonometry of spatial navigation which favors hexagonal patterns. The article also develops a neural model that can learn to exploit this trigonometric relationship. This GRIDSmap self-organizing map model converts path integration signals into hexagonal grid cell patterns of multiple scales. GRIDSmap creates only grid cell firing patterns with the observed hexagonal structure, predicts how these hexagonal patterns can be learned from experience, and can process biologically plausible neural input and output signals during navigation. These results support an emerging unified computational framework based on a hierarchy of self-organizing maps for explaining how entorhinal-hippocampal interactions support spatial navigation. © 2010 Wiley Periodicals, Inc.
Himanshu Mhatre; Anatoli Gorchetchnikov; Stephen Grossberg
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Publication Detail:
Type:  Journal Article     Date:  2010-12-06
Journal Detail:
Title:  Hippocampus     Volume:  22     ISSN:  1098-1063     ISO Abbreviation:  Hippocampus     Publication Date:  2012 Feb 
Date Detail:
Created Date:  2012-01-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9108167     Medline TA:  Hippocampus     Country:  United States    
Other Details:
Languages:  eng     Pagination:  320-34     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Wiley Periodicals, Inc.
Department of Cognitive and Neural Systems, Center for Adaptive Systems, Boston University, Boston, Massachusetts; Center of Excellence for Learning in Education, Science and Technology, Boston University, 677 Beacon St, Boston, Massachusetts.
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