Self-organising continuous attractor networks with multiple activity packets, and the representation of space.

Self-organising continuous attractor networks with multiple activity packets, and the representation of space.

'Continuous attractor' neural networks can maintain a localised packet of neuronal activity representing the current state of an agent in a continuous space without external sensory input. In applications such as the representation of head direction or location in the environment, only one...

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Bibliografische gegevens
Hoofdauteurs:	Stringer, S, Rolls, E, Trappenberg, T
Formaat:	Journal article
Taal:	English
Gepubliceerd in:	2004

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