How predictable are spontaneous decisions and hidden intentions? Comparing classification analyses based on previous responses and fMRI BOLD signals.

In two replication studies we examined response bias and sequential dependencies in binary decisions. We applied a linear classifier (SVM) to predict spontaneous decisions as well as hidden intentions from responses in preceding trials and achieve similar prediction accuracies as multivariate patter...

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Bibliographic Details
Main Authors: Martin eLages, Katarzyna eJaworska
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-03-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2012.00056/full
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spelling doaj-960f184d037649278e658b3f982abee92020-11-25T01:09:04ZengFrontiers Media S.A.Frontiers in Psychology1664-10782012-03-01310.3389/fpsyg.2012.0005618888How predictable are spontaneous decisions and hidden intentions? Comparing classification analyses based on previous responses and fMRI BOLD signals.Martin eLages0Katarzyna eJaworska1University of GlasgowUniversity of GlasgowIn two replication studies we examined response bias and sequential dependencies in binary decisions. We applied a linear classifier (SVM) to predict spontaneous decisions as well as hidden intentions from responses in preceding trials and achieve similar prediction accuracies as multivariate pattern classification of voxel activities in frontopolar cortex. We discuss implications of our findings and suggest a simple way to improve analyses of fMRI BOLD signals to contain effects of sequential dependencies between trials.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2012.00056/fullDecision MakingPrefrontal CortexResponse biasfree willfMRI BOLD signalmultivariate classification analysis
collection DOAJ
language English
format Article
sources DOAJ
author Martin eLages
Katarzyna eJaworska
spellingShingle Martin eLages
Katarzyna eJaworska
How predictable are spontaneous decisions and hidden intentions? Comparing classification analyses based on previous responses and fMRI BOLD signals.
Frontiers in Psychology
Decision Making
Prefrontal Cortex
Response bias
free will
fMRI BOLD signal
multivariate classification analysis
author_facet Martin eLages
Katarzyna eJaworska
author_sort Martin eLages
title How predictable are spontaneous decisions and hidden intentions? Comparing classification analyses based on previous responses and fMRI BOLD signals.
title_short How predictable are spontaneous decisions and hidden intentions? Comparing classification analyses based on previous responses and fMRI BOLD signals.
title_full How predictable are spontaneous decisions and hidden intentions? Comparing classification analyses based on previous responses and fMRI BOLD signals.
title_fullStr How predictable are spontaneous decisions and hidden intentions? Comparing classification analyses based on previous responses and fMRI BOLD signals.
title_full_unstemmed How predictable are spontaneous decisions and hidden intentions? Comparing classification analyses based on previous responses and fMRI BOLD signals.
title_sort how predictable are spontaneous decisions and hidden intentions? comparing classification analyses based on previous responses and fmri bold signals.
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2012-03-01
description In two replication studies we examined response bias and sequential dependencies in binary decisions. We applied a linear classifier (SVM) to predict spontaneous decisions as well as hidden intentions from responses in preceding trials and achieve similar prediction accuracies as multivariate pattern classification of voxel activities in frontopolar cortex. We discuss implications of our findings and suggest a simple way to improve analyses of fMRI BOLD signals to contain effects of sequential dependencies between trials.
topic Decision Making
Prefrontal Cortex
Response bias
free will
fMRI BOLD signal
multivariate classification analysis
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2012.00056/full
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