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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499433/ https://www.ncbi.nlm.nih.gov/pubmed/31013278 http://dx.doi.org/10.1371/journal.pcbi.1006897 |