Computational mechanisms underlying cortical responses to the affordance properties of visual scenes
Biologically inspired deep convolutional neural networks (CNNs), trained for computer vision tasks, have been found to predict cortical responses with remarkable accuracy. However, the internal operations of these models remain poorly understood, and the factors that account for their success are un...
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| Published in: | PLoS computational biology Vol. 14; no. 4; p. e1006111 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Public Library of Science
23.04.2018
Public Library of Science (PLoS) |
| Subjects: | |
| ISSN: | 1553-7358, 1553-734X, 1553-7358 |
| Online Access: | Get full text |
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