Rejection Positivity Predicts Trial-to-Trial Reaction Times in an Auditory Selective Attention Task: A Computational Analysis of Inhibitory Control
A series of computer simulations using variants of a formal model of attention (Melara & Algom, 2003) probed the role of rejection positivity (RP), a slow-wave electroencephalographic (EEG) component, in the inhibitory control of distraction. Behavioral and EEG data were recorded as participant...
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2014-08-01
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00585/full |
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doaj-0ea1d86b8c7a4d078e61f607db8934e92020-11-25T02:48:05ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612014-08-01810.3389/fnhum.2014.0058579849Rejection Positivity Predicts Trial-to-Trial Reaction Times in an Auditory Selective Attention Task: A Computational Analysis of Inhibitory ControlSufen eChen0Robert D. Melara1Montefiore Medical CenterCity College, City University of New YorkA series of computer simulations using variants of a formal model of attention (Melara & Algom, 2003) probed the role of rejection positivity (RP), a slow-wave electroencephalographic (EEG) component, in the inhibitory control of distraction. Behavioral and EEG data were recorded as participants performed auditory selective attention tasks. Simulations that modulated processes of distractor inhibition accounted well for reaction-time (RT) performance, whereas those that modulated target excitation did not. A model that incorporated RP from actual EEG recordings in estimating distractor inhibition was superior in predicting changes in RT as a function of distractor salience across conditions. A model that additionally incorporated momentary fluctuations in EEG as the source of trial-to-trial variation in performance precisely predicted individual RTs within each condition. The results lend support to the linking proposition that RP controls the speed of responding to targets through the inhibitory control of distractors.http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00585/fullcomputational modelingselective attentionERP/EEGInhibitory Controlreaction time variabilityrejection positivity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sufen eChen Robert D. Melara |
spellingShingle |
Sufen eChen Robert D. Melara Rejection Positivity Predicts Trial-to-Trial Reaction Times in an Auditory Selective Attention Task: A Computational Analysis of Inhibitory Control Frontiers in Human Neuroscience computational modeling selective attention ERP/EEG Inhibitory Control reaction time variability rejection positivity |
author_facet |
Sufen eChen Robert D. Melara |
author_sort |
Sufen eChen |
title |
Rejection Positivity Predicts Trial-to-Trial Reaction Times in an Auditory Selective Attention Task: A Computational Analysis of Inhibitory Control |
title_short |
Rejection Positivity Predicts Trial-to-Trial Reaction Times in an Auditory Selective Attention Task: A Computational Analysis of Inhibitory Control |
title_full |
Rejection Positivity Predicts Trial-to-Trial Reaction Times in an Auditory Selective Attention Task: A Computational Analysis of Inhibitory Control |
title_fullStr |
Rejection Positivity Predicts Trial-to-Trial Reaction Times in an Auditory Selective Attention Task: A Computational Analysis of Inhibitory Control |
title_full_unstemmed |
Rejection Positivity Predicts Trial-to-Trial Reaction Times in an Auditory Selective Attention Task: A Computational Analysis of Inhibitory Control |
title_sort |
rejection positivity predicts trial-to-trial reaction times in an auditory selective attention task: a computational analysis of inhibitory control |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Human Neuroscience |
issn |
1662-5161 |
publishDate |
2014-08-01 |
description |
A series of computer simulations using variants of a formal model of attention (Melara & Algom, 2003) probed the role of rejection positivity (RP), a slow-wave electroencephalographic (EEG) component, in the inhibitory control of distraction. Behavioral and EEG data were recorded as participants performed auditory selective attention tasks. Simulations that modulated processes of distractor inhibition accounted well for reaction-time (RT) performance, whereas those that modulated target excitation did not. A model that incorporated RP from actual EEG recordings in estimating distractor inhibition was superior in predicting changes in RT as a function of distractor salience across conditions. A model that additionally incorporated momentary fluctuations in EEG as the source of trial-to-trial variation in performance precisely predicted individual RTs within each condition. The results lend support to the linking proposition that RP controls the speed of responding to targets through the inhibitory control of distractors. |
topic |
computational modeling selective attention ERP/EEG Inhibitory Control reaction time variability rejection positivity |
url |
http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00585/full |
work_keys_str_mv |
AT sufenechen rejectionpositivitypredictstrialtotrialreactiontimesinanauditoryselectiveattentiontaskacomputationalanalysisofinhibitorycontrol AT robertdmelara rejectionpositivitypredictstrialtotrialreactiontimesinanauditoryselectiveattentiontaskacomputationalanalysisofinhibitorycontrol |
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