Inhibitory Control in Mind and Brain: An Interactive Race Model of Countermanding Saccades
The stop-signal task has been used to study normal cognitive control and clinical dysfunction. Its utility is derived from a race model that accounts for performance and provides an estimate of the time it takes to stop a movement. This model posits a race between go and stop processes with stochast...
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Published in | Psychological review Vol. 114; no. 2; pp. 376 - 397 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Psychological Association
01.04.2007
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Subjects | |
Online Access | Get more information |
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Summary: | The stop-signal task has been used to study normal cognitive control and clinical dysfunction. Its utility is derived from a race model that accounts for performance and provides an estimate of the time it takes to stop a movement. This model posits a race between go and stop processes with stochastically independent finish times. However, neurophysiological studies demonstrate that the neural correlates of the go and stop processes produce movements through a network of interacting neurons. The juxtaposition of the computational model with the neural data exposes a paradox--how can a network of interacting units produce behavior that appears to be the outcome of an independent race? The authors report how a simple, competitive network can solve this paradox and provide an account of what is measured by stop-signal reaction time. |
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ISSN: | 0033-295X |
DOI: | 10.1037/0033-295x.114.2.376 |