Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods

NeuroImage

Volumn 58, Issue 2, 2011, Pages 560-571

  Chu, Carlton ^a,b   Mourão Miranda, Janaina ^b,c   Chiu, Yu Chin ^d   Kriegeskorte, Nikolaus ^e   Tan, Geoffrey ^b   Ashburner, John ^b  

^a NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c KING'S COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e MEDICAL RESEARCH COUNCIL   (United Kingdom)

Author keywords

FMRI prediction; Kernel methods; Kernel ridge regression (KRR); Machine learning; Multi class; Relevance vector machines (RVM); Support vector machine (SVM); Temporal compacting; Temporal compression

Indexed keywords

ACCURACY; ADULT; ALGORITHM; ARTICLE; BRAIN DEPTH STIMULATION; BRAIN ELECTROPHYSIOLOGY; CLASSIFICATION; CLASSIFIER; COMPUTER ANALYSIS; DECISION MAKING; EVENT RELATED POTENTIAL; FUNCTIONAL ASSESSMENT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; HUMAN EXPERIMENT; KERNEL METHOD; MALE; NORMAL HUMAN; PREDICTION; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASES, FACTUAL; ECHO-PLANAR IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; PHOTIC STIMULATION; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINES; YOUNG ADULT;

EID: 80051783097     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.06.053     Document Type: Article

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