Detecting cognitive traits and occupational proficiency using EEG and statistical inference

• Published in: Scientific reports Vol. 14; no. 1; pp. 5605 - 12
• Main Authors: Mikheev, Ilya, Steiner, Helen, Martynova, Olga
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 07.03.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378/116/1925; 631/378/2649/1725; Classification; Cognition; Cognition & reasoning; Cognitive ability; Cognitive traits; Education; EEG; Electroencephalography; Electroencephalography - methods; Humanities and Social Sciences; Humans; Machine Learning; Mathematics; multidisciplinary; Neurological diseases; Science; Science (multidisciplinary); EEG; Cognitive traits; Machine learning

Machine learning (ML) is widely used in classification tasks aimed at detecting various cognitive states or neurological diseases using noninvasive electroencephalogram (EEG) time series. However, successfully detecting specific cognitive skills in a healthy population, independent of subject, remai...