A Model-Based fMRI Analysis With Hierarchical Bayesian Parameter Estimation

Journal of Neuroscience, Psychology, and Economics

Volumn 4, Issue 2, 2011, Pages 95-110

  Ahn, Woo Young ^a   Krawitz, Adam ^a   Kim, Woojae ^a   Busemeyer, Jerome R ^a   Brown, Joshua W ^a  

^a INDIANA UNIVERSITY   (United States)

Author keywords

Functional magnetic resonance imaging; Hierarchical Bayesian analysis; Model comparison; Model based fMRI; Reinforcement learning

Indexed keywords

ADULT; ARTICLE; BAYES THEOREM; BEHAVIOR; CLINICAL TRIAL; COGNITION; CONTROLLED STUDY; DECISION MAKING; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; INTERNAL CONSISTENCY; IOWA GAMBLING TASK; MALE; MATHEMATICAL ANALYSIS; MAXIMUM LIKELIHOOD METHOD; NEUROSCIENCE; PROSPECT VALENCE LEARNING; RELIABILITY; SENSITIVITY ANALYSIS; SIMULATION;

EID: 79956132232     PISSN: 1937321X     EISSN: 2151318X     Source Type: Journal    
DOI: 10.1037/a0020684     Document Type: Article

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