Predicting motor learning performance from Electroencephalographic data

Journal of NeuroEngineering and Rehabilitation

Volumn 11, Issue 1, 2014, Pages

  Meyer, Timm ^a   Peters, Jan ^a,b   Zander, Thorsten O ^a,c   Schölkopf, Bernhard ^a   Grosse Wentrup, Moritz ^a  

^a MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^c TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

BCI; Brain computer interface; EEG; Motor learning; Performance prediction; Visuomotor integration and learning

Indexed keywords

ADULT; ARTICLE; ASSOCIATION; ASSOCIATION CORTEX; BRAIN COMPUTER INTERFACE; BRAIN REGION; CLASSIFIER; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; ELECTROMAGNETIC FIELD; FEMALE; HUMAN; HUMAN EXPERIMENT; LEARNING; MALE; MOTOR LEARNING; MOTOR PERFORMANCE; NORMAL HUMAN; PARIETAL CORTEX; POSTERIOR PARIETAL CORTEX; PREDICTION; PREFRONTAL CORTEX; PRIMARY SOMATOSENSORY CORTEX; RANDOM FOREST; SECONDARY VISUAL CORTEX; SENSORIMOTOR FUNCTION; VISUAL CORTEX; VISUAL FEEDBACK; WORKING MEMORY; BRAIN; MOTOR ACTIVITY; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE;

ADULT; BRAIN; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; LEARNING; MALE; MOTOR ACTIVITY; PSYCHOMOTOR PERFORMANCE;

EID: 84898544635     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-11-24     Document Type: Article

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