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Self-organizing path integration using a linked continuous attractor and competitive network: path integration of head direction.

Abstract:

A key issue is how networks in the brain learn to perform path integration, that is update a represented position using a velocity signal. Using head direction cells as an example, we show that a competitive network could self-organize to learn to respond to combinations of head direction and angular head rotation velocity. These combination cells can then be used to drive a continuous attractor network to the next head direction based on the incoming rotation signal. An associative synaptic ...

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Publication status:
Published

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Publisher copy:
10.1080/09548980601004032

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Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Role:
Author
Journal:
Network (Bristol, England)
Volume:
17
Issue:
4
Pages:
419-445
Publication date:
2006-12-05
DOI:
EISSN:
1361-6536
ISSN:
0954-898X
URN:
uuid:2a618ae8-0eae-471b-9aae-0148e7330922
Source identifiers:
15858
Local pid:
pubs:15858

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