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"Determining the Optimal Number of MEG Trials: A Machine Learning and ..."

Debadatta Dash et al. (2018)

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DOI: 10.1007/978-3-030-05587-5_16

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-26

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  dblp key:
  - conf/brain/DashFMMM018
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  - https://dblp.org/rec/conf/brain/DashFMMM018
Debadatta Dash, Paul Ferrari, Saleem Malik, Albert Montillo, Joseph A. Maldjian, Jun Wang:
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. BI 2018: 163-172

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