Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

Item #:

079017-4257

Details

DOI: https://doi.org/10.52202/079017-4257
Author(s): Cynthia Chestek, Joseph Costello, Luis Cubillos, Anne Draelos, Aren Hite, Madison Kelberman, Matthew Mender, Xiaoyong Ni, Parag Patil, Guy Revach, Nir Shlezinger, Hisham Temmar, Ruud van Sloun, Dylan Wallace, Matthew Willsey, Diksha Zutshi
Pages: 133975-133998 (24 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 37
Date/Location: Held 10-15 December 2024, Vancouver, Canada.
Series: Advances in Neural Information Processing Systems 37
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DOI: https://doi.org/10.52202/079017-4257
Author(s): Cynthia Chestek, Joseph Costello, Luis Cubillos, Anne Draelos, Aren Hite, Madison Kelberman, Matthew Mender, Xiaoyong Ni, Parag Patil, Guy Revach, Nir Shlezinger, Hisham Temmar, Ruud van Sloun, Dylan Wallace, Matthew Willsey, Diksha Zutshi
Pages: 133975-133998 (24 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 37
Date/Location: Held 10-15 December 2024, Vancouver, Canada.
Series: Advances in Neural Information Processing Systems 37
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)