Inhibitory control in mind and brain: an interactive race model of countermanding saccades.

Boucher L, Palmeri TJ, Logan GD, Schall JD
Psychol Rev. 2007 114 (2): 376-97

PMID: 17500631 · DOI:10.1037/0033-295X.114.2.376

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.

(c) 2007 APA, all rights reserved.

MeSH Terms (7)

Brain Cognition Humans Inhibition, Psychological Saccades Signal Detection, Psychological Stochastic Processes

Connections (2)

This publication is referenced by other Labnodes entities: