Decoding semi-constrained brain activity from fMRI using support vector machines and Gaussian Processes

PLoS ONE

Volumn 7, Issue 4, 2012, Pages

  Schrouff, Jessica ^a   Kussé, Caroline ^a   Wehenkel, Louis ^a   Maquet, Pierre ^a,b   Phillips, Christophe ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

^b UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; ARTICLE; BRAIN FUNCTION; CLASSIFICATION; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; IMAGERY; KERNEL METHOD; MALE; MENTAL FUNCTION; MENTAL TASK; NORMAL HUMAN; STIMULUS RESPONSE; SUPPORT VECTOR MACHINE; TASK PERFORMANCE; VISUAL STIMULATION; VOLUNTEER; BRAIN; COGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; SCINTISCANNING;

ADULT; BRAIN; COGNITION; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NORMAL DISTRIBUTION; SOFTWARE; SUPPORT VECTOR MACHINES; YOUNG ADULT;

EID: 84860357320     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0035860     Document Type: Article

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