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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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Bibliographische Detailangaben
Veröffentlicht in:PLoS Comput Biol
Hauptverfasser: Cadena, Santiago A., Denfield, George H., Walker, Edgar Y., Gatys, Leon A., Tolias, Andreas S., Bethge, Matthias, Ecker, Alexander S.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2019
Schlagworte:
Online Zugang: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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