Sparse spatio-temporal inference of electromagnetic brain sources

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6357 LNCS, Issue , 2010, Pages 157-164

  Stahlhut, Carsten ^a   Attias, Hagai T ^b   Wipf, David ^c   Hansen, Lars K ^a   Nagarajan, Srikantan S ^c  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b Golden Metallic Inc   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

ARD; M EEG source reconstruction; probabilistic graphical models; underdetermined inverse problems; variational Bayes

Indexed keywords

ARD; PROBABILISTIC GRAPHICAL MODELS; SOURCE RECONSTRUCTION; UNDERDETERMINED INVERSE PROBLEMS; VARIATIONAL BAYES;

BAYESIAN NETWORKS; BRAIN; DIFFERENTIAL EQUATIONS; ELECTROMAGNETISM; GRAPHIC METHODS; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; REPAIR;

INVERSE PROBLEMS;

EID: 77958047199     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15948-0_20     Document Type: Conference Paper

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