On the relative importance of attention and response selection processes for multi-component behavior – Evidence from EEG-based deep learning

Goal-directed behavior often requires concatenating different actions to achieve a goal. The neural correlates of such multi-component behavior have extensively been investigated. However, it is still enigmatic whether it is possible to predict, using single-trial EEG data and on a single-subject le...

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Bibliographic Details
Main Authors: Amirali Vahid, Ann-Kathrin Stock, Moritz Mückschel, Christian Beste
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Neuroimage: Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666956022000423