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#dcnns — Public Fediverse posts

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  1. Automatically detecting emotions from #EEGs is expected to become a major task of #BCIs. However, inaccuracies, high error rates and a lack of stability still occupy #research. A research group has now succeeded in using Deep Convolutional Neural Networks #DCNNs to classify positive, neutral and negative #emotions from EEG signals with 96% accuracy by having volunteers listen to different music.
    #Bioelectronics

    mdpi.com/2079-9292/12/10/2216