Behavior-constrained support vector machines for fMRI data analysis

IEEE Transactions on Neural Networks

Volumn 21, Issue 10, 2010, Pages 1680-1685

  Chen, Danmei ^a   Li, Sheng ^b,c   Kourtzi, Zoe ^c   Wu, Si ^d  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b PEKING UNIVERSITY   (China)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^d INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Functional magnetic resonance imaging (fMRI); pattern classification; psychometric function; support vector machine (SVM)

Indexed keywords

BEHAVIORAL PERFORMANCE; BEHAVIORAL RESPONSE; BRAIN DATA; DECODING INFORMATION; DISTANCE CONSTRAINTS; FMRI DATA; FUNCTIONAL BRAIN IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN OBSERVERS; NEURAL IMAGING; NOISY SIGNALS; PATTERN CLASSIFICATION; PRIOR KNOWLEDGE; PSYCHOMETRIC FUNCTION; STATISTICAL LEARNING METHODS; SUPPORT VECTOR MACHINE (SVM); TRAINING PATTERNS;

DATA REDUCTION; DECODING; GEARS; KNOWLEDGE BASED SYSTEMS; MAGNETIC RESONANCE IMAGING; OPTOMETERS; RESONANCE; VECTORS;

SUPPORT VECTOR MACHINES;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN; BRAIN MAPPING; HUMAN; INFORMATION PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; AUTOMATIC DATA PROCESSING; BRAIN; BRAIN MAPPING; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77957804598     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2060353     Document Type: Article

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