- 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 ...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1080/09548980601004032
-
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- Journal:
- Network (Bristol, England)
- Volume:
- 17
- Issue:
- 4
- Pages:
- 419-445
- Publication date:
- 2006-12-05
- DOI:
- EISSN:
-
1361-6536
- ISSN:
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0954-898X
- URN:
-
uuid:2a618ae8-0eae-471b-9aae-0148e7330922
- Source identifiers:
-
15858
- Local pid:
- pubs:15858
- Copyright date:
- 2006
Journal article
Self-organizing path integration using a linked continuous attractor and competitive network: path integration of head direction.
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