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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Bibliographische Detailangaben
Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS Jg. 118; H. 3
Hauptverfasser:	Zhuang, Chengxu, Yan, Siming, Nayebi, Aran, Schrimpf, Martin, Frank, Michael C, DiCarlo, James J, Yamins, Daniel L K
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 19.01.2021
Schlagworte:	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-Zugang:	Weitere Angaben
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