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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Main Authors: Sufen eChen, Robert D. Melara
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-08-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00585/full
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spelling 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
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