Abstract:Seamlessly extracting emotional information from voices is crucial for efficient interpersonal communication. However, it remains unclear how the brain categorizes vocal expressions of emotion beyond the processing of their acoustic features. In our study, we developed a new approach combining electroencephalographic recordings (EEG) in humans with an oddball frequency tagging paradigm to automatically tag neural responses to specific emotion expressions. Participants were presented with a periodic stream of h… Show more
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