Mpdcm: A toolbox for massively parallel dynamic causal modeling

Journal of Neuroscience Methods

Volumn 257, Issue , 2016, Pages 7-16

  Aponte, Eduardo A ^a   Raman, Sudhir ^a   Sengupta, Biswa ^b   Penny, Will D ^b   Stephan, Klaas E ^a,b,c   Heinzle, Jakob ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c MAX PLANCK INSTITUTE FOR NEUROLOGICAL RESEARCH   (Germany)

Author keywords

Bayesian model comparison; Dynamic causal modeling; GPU; Markov chain Monte Carlo; Model evidence; Model inversion; Parallel tempering; Thermodynamic integration

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; BOLD SIGNAL; CAUSAL MODELING; COMPUTER PROGRAM; INTEGRATION; MASSIVELY PARALLEL DYNAMIC CAUSAL MODELING; PRIORITY JOURNAL; SAMPLING; SIMULATION; STORAGE; THERMODYNAMICS; ACCESS TO INFORMATION; BAYES THEOREM; BIOLOGICAL MODEL; BLOOD; BRAIN; BRAIN CIRCULATION; BRAIN MAPPING; COMPARATIVE STUDY; COMPUTER GRAPHICS; COMPUTER SIMULATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; SOFTWARE; STATISTICAL MODEL;

OXYGEN;

ACCESS TO INFORMATION; ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN MAPPING; CEREBROVASCULAR CIRCULATION; COMPUTER GRAPHICS; COMPUTER SIMULATION; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; OXYGEN; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; THERMODYNAMICS;

EID: 84944392126     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2015.09.009     Document Type: Article

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