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Model metamers illuminate divergences between biological and artificial neural networks
Jenelle Feather, Guillaume Leclerc, Aleksander Mądry, Josh H. McDermott
doi: https://doi.org/10.1101/2022.05.19.492678
Jenelle Feather
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
2McGovern Institute, Massachusetts Institute of Technology
3Center for Brains Minds and Machines, Massachusetts Institute of Technology
Guillaume Leclerc
4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
5Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Aleksander Mądry
4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
5Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Josh H. McDermott
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
2McGovern Institute, Massachusetts Institute of Technology
3Center for Brains Minds and Machines, Massachusetts Institute of Technology
6Speech and Hearing Bioscience and Technology, Harvard University

- Supplemental Figures[supplements/492678_file02.pdf]
- Supplemental Architecture Descriptions[supplements/492678_file03.pdf]
Posted May 20, 2022.
Model metamers illuminate divergences between biological and artificial neural networks
Jenelle Feather, Guillaume Leclerc, Aleksander Mądry, Josh H. McDermott
bioRxiv 2022.05.19.492678; doi: https://doi.org/10.1101/2022.05.19.492678
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