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End-to-end neural system identification with neural information flow
Neural information flow (NIF) provides a novel approach for system identification in neuroscience. It models the neural computations in multiple brain regions and can be trained end-to-end via stochastic gradient descent from noninvasive data. NIF models represent neural information processing via a...
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| Publicado en: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7888598/ https://ncbi.nlm.nih.gov/pubmed/33539366 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008558 |
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