Continuous Attractor Neural Networks: Candidate of a Canonical Model for Neural Information Representation [version 1; referees: 2 approved]
Owing to its many computationally desirable properties, the model of continuous attractor neural networks (CANNs) has been successfully applied to describe the encoding of simple continuous features in neural systems, such as orientation, moving direction, head direction, and spatial location of obj...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2016-02-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | http://f1000research.com/articles/5-156/v1 |