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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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| Publicado no: | eLife |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
eLife Sciences Publications, Ltd
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5398889/ https://ncbi.nlm.nih.gov/pubmed/28230528 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.20899 |
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