Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance
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DOI: 10.1038/s41598-019-53925-5
Abstract: Identification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to classify active electrodes showing… read more here.
Keywords: classification; machine learning; task; active electrodes ... See more keywords