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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
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Guillaume Leclerc
4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
5Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
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Aleksander Mądry
4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
5Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
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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
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Posted May 20, 2022.
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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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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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