Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans. However, the stage-wise computations therein remain poorly understood. Here, we compared temporal (magnetoencephalography) and spatial (functional MRI) visual...
Main Authors: | Cichy, Radoslaw, Khosla, Aditya, Pantazis, Dimitrios, Torralba, Antonio, Oliva, Aude |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Springer Nature
2016
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Online Access: | http://hdl.handle.net/1721.1/103585 https://orcid.org/0000-0002-0007-3352 https://orcid.org/0000-0003-4915-0256 |
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