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Optimal performance in a countermanding saccade task

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Wong-Lin, KongFatt, Eckhoff, Philip, Holmes, Philip and Cohen, Jonathan (2010) Optimal performance in a countermanding saccade task. Brain Research, 1318 . pp. 178-187. [Journal article]

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DOI: 10.1016/j.brainres.2009.12.018

Abstract

Countermanding an action is a fundamental form of cognitive control. In a saccade countermanding task, subjects are instructed that, if a stop signal appears shortly after atarget, they are to maintain fixation rather than to make a saccade to the target. In recentyears, recordings in the frontal eye fields and superior colliculus of behaving non-humanprimates have found correlates of such countermanding behavior in movement and fixationneurons. In this work, we extend a previous neural network model of countermanding toaccount for the high pre-target activity of fixation neurons. We propose that this activityreflects the functioning of control mechanisms responsible for optimizing performance. Wedemonstrate, using computer simulations and mathematical analysis, that pre-targetfixation neuronal activity supports countermanding behavior that maximizes reward rateas a function of the stop signal delay, fraction of stop signal trials, intertrial interval,duration of timeout, and relative reward value. We propose experiments to test thesepredictions regarding optimal behavior.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:21348
Deposited By:Dr Kongfatt Wong-Lin
Deposited On:09 Mar 2012 15:01
Last Modified:07 Apr 2014 11:54

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