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 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.
Boucher
Leanne
L
Department of Psychology, Vanderbilt University, Nashville, TN 37221, USA. leanne.boucher@vanderbilt.edu
Palmeri
Thomas J
TJ
Logan
Gordon D
GD
Schall
Jeffrey D
JD
D001921:Brain / Q000502:physiology; D003071:Cognition; D006801:Humans; D007266:Inhibition, Psychological; D012438:Saccades / Q000502:physiology*; D017603:Signal Detection, Psychological; D013269:Stochastic Processes