Individualized real‐time prediction of working memory performance by classifying electroencephalography signals-Reference-Cited by-同舟云学术

Individualized real‐time prediction of working memory performance by classifying electroencephalography signals

Author:

Mirjalili Mina¹²³⁴,Zomorrodi Reza¹⁵,Daskalakis Zafiris J.⁶,Hill Sean¹³⁷⁸,Rajji Tarek K.¹²³⁵⁸^ORCID

Affiliation:

1. Campbell Family Mental Health Research Institute Centre for Addiction and Mental Health Toronto Ontario Canada

2. Adult Neurodevelopmental and Geriatric Psychiatry Division Centre for Addiction and Mental Health Toronto Ontario Canada

3. Institute of Medical Science University of Toronto Toronto Ontario Canada

4. Vector Institute for Artificial Intelligence Toronto Ontario Canada

5. Temerty Centre for Therapeutic Brain Intervention Centre for Addiction and Mental Health Toronto Ontario Canada

6. Department of Psychiatry School of Medicine, University of California San Diego Health La Jolla California USA

7. Krembil Centre for Neuroinformatics Centre for Addiction and Mental Health Toronto Ontario Canada

8. Department of Psychiatry University of Toronto Toronto Ontario Canada

Funder

Canada Research Chairs

Canadian Institutes of Health Research

Centre for Addiction and Mental Health Foundation

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

Reference68 articles.

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