Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG data

NeuroImage

Volumn 60, Issue 1, 2012, Pages 305-323

  Owen, Julia P ^a,b   Wipf, David P ^a   Attias, Hagai T ^c   Sekihara, Kensuke ^d   Nagarajan, Srikantan S ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UC Berkeley UC San Francisco Joint Graduate Group in Bioengineering   (United States)

^c Golden Metallic Inc   (United States)

^d TOKYO METROPOLITAN UNIVERSITY   (Japan)

Author keywords

Bayesian; Electroencephalography; Inverse problem; Magnetoencephalography

Indexed keywords

ACCURACY; ARTICLE; AUDITORY STIMULATION; BAYES THEOREM; CONTROLLED STUDY; DISCRIMINATIVE STIMULUS; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; EVOKED AUDITORY RESPONSE; EVOKED VISUAL RESPONSE; FACE VALIDITY; INSTRUMENT VALIDATION; LEARNING ALGORITHM; MAGNETOENCEPHALOGRAPHY; MATHEMATICAL COMPUTING; NEUROIMAGING; PRIORITY JOURNAL; PROBLEM SOLVING; VISUAL STIMULATION;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; HUMANS; MAGNETOENCEPHALOGRAPHY;

EID: 84857135707     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.12.027     Document Type: Article

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