Unsupervised neural network models of the ventral visual stream

Deep neural networks currently provide the best quantitative models of the response patterns of neurons throughout the primate ventral visual stream. However, such networks have remained implausible as a model of the development of the ventral stream, in part because they are trained with supervised...

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Bibliographic Details
Published in:	Proceedings of the National Academy of Sciences - PNAS Vol. 118; no. 3
Main Authors:	Zhuang, Chengxu, Yan, Siming, Nayebi, Aran, Schrimpf, Martin, Frank, Michael C, DiCarlo, James J, Yamins, Daniel L K
Format:	Journal Article
Language:	English
Published:	United States 19.01.2021
Subjects:	Animals Child Datasets as Topic Humans Macaca - physiology Nerve Net - anatomy & histology Nerve Net - physiology Neural Networks, Computer Neurons - physiology Pattern Recognition, Visual - physiology Unsupervised Machine Learning Visual Cortex - anatomy & histology Visual Cortex - physiology unsupervised algorithms deep neural networks ventral visual stream
ISSN:	1091-6490, 1091-6490
Online Access:	Get more information
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