Inhibitory control in mind and brain: an interactive race model of countermanding saccades. Boucher, L., Palmeri, T. J., Logan, G. D., & Schall, J. D. Psychological Review, 114(2):376–397, April, 2007.
doi  abstract   bibtex   
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.
@article{boucher_inhibitory_2007,
	title = {Inhibitory control in mind and brain: an interactive race model of countermanding saccades},
	volume = {114},
	issn = {0033-295X},
	shorttitle = {Inhibitory control in mind and brain},
	doi = {10.1037/0033-295X.114.2.376},
	abstract = {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.},
	language = {eng},
	number = {2},
	journal = {Psychological Review},
	author = {Boucher, Leanne and Palmeri, Thomas J. and Logan, Gordon D. and Schall, Jeffrey D.},
	month = apr,
	year = {2007},
	keywords = {Brain, Cognition, Humans, Inhibition (Psychology), Saccades, Signal Detection, Psychological, Stochastic Processes},
	pages = {376--397},
}

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