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PMID: 9046453 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Learning navigational maps through potentiation and modulation of hippocampal place cells.

Journal of computational neuroscience ·Vol. 4 ·No. 1 ·1997-01-00 ·Pages 79-94

Gerstner W, Abbott LF

Abstract

We analyze a model of navigational map formation based on correlation-based, temporally asymmetric potentiation and depression of synapses between hippocampal place cells. We show that synaptic modification during random exploration of an environment shifts the location encoded by place cell activity in such a way that it indicates the direction from any location to a fixed target avoiding walls and other obstacles. Multiple maps to different targets can be simultaneously stored if we introduce target-dependent modulation of place cell activity. Once maps to a number of target locations in a given environment have been stored, novel maps to previously unknown target locations are automatically constructed by interpolation between existing maps.

MeSH Terms
Animals Exploratory Behavior Hippocampus/chemistry,physiology Learning/physiology Long-Term Potentiation Models, Neurological Models, Psychological Models, Theoretical Nerve Net/physiology Neuronal Plasticity Neurons/physiology Rats Synapses/physiology
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Gerstner W
Volen Center for Complex Systems, Brandeis University, Waltham, MA 02254-9110, USA.
Abbott L F
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Article Info
Journal
Journal of computational neuroscience
Abbr.
J Comput Neurosci
ISSN
0929-5313
Published
1997-01-00
Pages
79-94
Language
English
Region
United States
NLM ID
9439510
Subset
IM
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