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...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2004
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