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Deep convolutional models improve predictions of macaque V1 responses to natural images
Despite great efforts over several decades, our best models of primary visual cortex (V1) still predict spiking activity quite poorly when probed with natural stimuli, highlighting our limited understanding of the nonlinear computations in V1. Recently, two approaches based on deep learning have eme...
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| Publicado no: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6499433/ https://ncbi.nlm.nih.gov/pubmed/31013278 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006897 |
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