Predicting rock–paper–scissors choices based on single‐trial EEG signals
Zetong He,
Lidan Cui,
Shunmin Zhang
et al.
Abstract:Decision prediction based on neurophysiological signals is of great application value in many real‐life situations, especially in human–AI collaboration or counteraction. Single‐trial analysis of electroencephalogram (EEG) signals is a very valuable step in the development of an online decision‐prediction system. However, previous EEG‐based decision‐prediction methods focused mainly on averaged EEG signals of all decision‐making trials to predict an individual's general decision tendency (e.g., risk seeking or… Show more
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