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A state space approach for piecewise-linear recurrent neural networks for identifying computational dynamics from neural measurements
The computational and cognitive properties of neural systems are often thought to be implemented in terms of their (stochastic) network dynamics. Hence, recovering the system dynamics from experimentally observed neuronal time series, like multiple single-unit recordings or neuroimaging data, is an...
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| Publicado no: | PLoS Comput Biol |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5456035/ https://ncbi.nlm.nih.gov/pubmed/28574992 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005542 |
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