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Peer-Reviewed Publication
Sci Rep2019;9(1):1609.February 7, 2019Journal Article

Machine learning for MEG during speech tasks.

Demetres Kostas1,2, Elizabeth W Pang3,4,5, Frank Rudzicz3,6,7,8
1University of Toronto, Toronto, Canada. demetres@cs.toronto.edu.
2Vector Institute for Artificial Intelligence, Toronto, Canada. demetres@cs.toronto.edu.
3University of Toronto, Toronto, Canada.
4Hospital for Sick Children, Toronto, Canada.
5SickKids Research Institute, Toronto, Canada.
6Vector Institute for Artificial Intelligence, Toronto, Canada.
7Li Ka Shing Knowledge Institute at St Michael's Hospital, Toronto, Canada.
8Surgical Safety Technologies Inc, Toronto, Canada.
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Abstract

We consider whether a deep neural network trained with raw MEG data can be used to predict the age of children performing a verb-generation task, a monosyllable speech-elicitation task, and a multi-syllabic speech-elicitation task. Furthermore, we argue that the network makes predictions on the grounds of differences in speech development. Previous work has explored taking 'deep' neural networks (…

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