Single Trial Decoding of Belief Decision Making from EEG and fMRI Data Using ICA Features

Single Trial Decoding of Belief Decision Making from EEG and fMRI Data Using ICA Features

The complex task of assessing the veracity of a statement is thought to activate uniquely distributed brain regions based on whether a subject believes or disbelieves a given assertion. In the current work, we present parallel machine learning methods for predicting a subject’s decision response to...

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Bibliographic Details
Main Authors: Pamela eDouglas, Edward eLau, Ariana eAnderson, Wesley eKerr, Austin eHead, Margalit Aliza Wollner, Daniel eMoyer, Michael eDurnhofer, Wei eLi, Jen eBramen, Mark S Cohen
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-07-01
Series:Frontiers in Human Neuroscience
Subjects:
Decision Making
EEG
fMRI
machine learning
Decoding
interpretation
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00392/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00392/full

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