Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream

Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream

Humans recognize visually-presented objects rapidly and accurately. To understand this ability, we seek to construct models of the ventral stream, the series of cortical areas thought to subserve object recognition. One tool to assess the quality of a model of the ventral stream is the Representatio...

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Bibliographic Details
Main Authors: Yamins, Daniel L. K. (Contributor), Hong, Ha (Contributor), Cadieu, Charles (Contributor), DiCarlo, James (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), McGovern Institute for Brain Research at MIT (Contributor)
Format: Article
Language:English
Published: Neural Information Processing Systems Foundation, 2015-03-06T19:34:13Z.
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