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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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| 出版年: | PLoS Comput Biol |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | 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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