Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks
Neural activity during cognitive tasks exhibits complex dynamics that flexibly encode task-relevant variables. Chaotic recurrent networks, which spontaneously generate rich dynamics, have been proposed as a model of cortical computation during cognitive tasks. However, existing methods for training...
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2017-02-01
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| Series: | eLife |
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| Online Access: | https://elifesciences.org/articles/20899 |