Using goal-driven deep learning models to understand sensory cortex.

TitleUsing goal-driven deep learning models to understand sensory cortex.
Publication TypeJournal Article
Year of Publication2016
AuthorsYamins DLK, DiCarlo JJ
JournalNature neuroscience
Volume19
Issue3
Pagination356-65
Date Published2016 Feb 23
ISSN1546-1726
Abstract

Fueled by innovation in the computer vision and artificial intelligence communities, recent developments in computational neuroscience have used goal-driven hierarchical convolutional neural networks (HCNNs) to make strides in modeling neural single-unit and population responses in higher visual cortical areas. In this Perspective, we review the recent progress in a broader modeling context and describe some of the key technical innovations that have supported it. We then outline how the goal-driven HCNN approach can be used to delve even more deeply into understanding the development and organization of sensory cortical processing.

DOI10.1038/nn.4244
Alternate JournalNat. Neurosci.

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