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Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech
Shailee Jain, Shivangi Mahto, Javier S. Turek, Vy A. Vo, Amanda LeBel, Alexander G. Huth
doi: https://doi.org/10.1101/2020.10.02.324392
Shailee Jain
1Department of Computer Science, The University of Texas at Austin, Austin, TX 78712
Shivangi Mahto
1Department of Computer Science, The University of Texas at Austin, Austin, TX 78712
Javier S. Turek
2Brain-Inspired Computing Lab, Intel Labs, Hillsboro, OR 97124
Vy A. Vo
2Brain-Inspired Computing Lab, Intel Labs, Hillsboro, OR 97124
Amanda LeBel
3Department of Neuroscience, The University of Texas at Austin, Austin, TX 78712
Alexander G. Huth
4Computer Science & Neuroscience, The University of Texas at Austin, Austin, TX 78712
Article usage
Posted February 16, 2021.
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech
Shailee Jain, Shivangi Mahto, Javier S. Turek, Vy A. Vo, Amanda LeBel, Alexander G. Huth
bioRxiv 2020.10.02.324392; doi: https://doi.org/10.1101/2020.10.02.324392
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