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:
- Publisher copy:
- Copyright date:
Self-organizing path integration using a linked continuous attractor and competitive network: path integration of head direction.
Views and Downloads
If you are the owner of this record, you can report an update to it here: Report update to this record