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Models of Inhibitory Control

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Specialty Biology
Date 2017 Mar 1
PMID 28242727
Citations 46
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Abstract

We survey models of response inhibition having different degrees of mathematical, computational and neurobiological specificity and generality. The independent race model accounts for performance of the stop-signal or countermanding task in terms of a race between GO and STOP processes with stochastic finishing times. This model affords insights into neurophysiological mechanisms that are reviewed by other authors in this volume. The formal link between the abstract GO and STOP processes and instantiating neural processes is articulated through interactive race models consisting of stochastic accumulator GO and STOP units. This class of model provides quantitative accounts of countermanding performance and replicates the dynamics of neural activity producing that performance. The interactive race can be instantiated in a network of biophysically plausible spiking excitatory and inhibitory units. Other models seek to account for interactions between units in frontal cortex, basal ganglia and superior colliculus. The strengths, weaknesses and relationships of the different models will be considered. We will conclude with a brief survey of alternative modelling approaches and a summary of problems to be addressed including accounting for differences across effectors, species, individuals, task conditions and clinical deficits.This article is part of the themed issue 'Movement suppression: brain mechanisms for stopping and stillness'.

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References
1.
Godlove D, Schall J . Microsaccade production during saccade cancelation in a stop-signal task. Vision Res. 2014; 118:5-16. PMC: 4422788. DOI: 10.1016/j.visres.2014.10.025. View

2.
Logan G, Van Zandt T, Verbruggen F, Wagenmakers E . On the ability to inhibit thought and action: general and special theories of an act of control. Psychol Rev. 2014; 121(1):66-95. DOI: 10.1037/a0035230. View

3.
Goonetilleke S, Wong J, Corneil B . Validation of a within-trial measure of the oculomotor stop process. J Neurophysiol. 2012; 108(3):760-70. DOI: 10.1152/jn.00174.2012. View

4.
Cutsuridis V . Behavioural and computational varieties of response inhibition in eye movements. Philos Trans R Soc Lond B Biol Sci. 2017; 372(1718). PMC: 5332855. DOI: 10.1098/rstb.2016.0196. View

5.
Corneil B, Elsley J . Countermanding eye-head gaze shifts in humans: marching orders are delivered to the head first. J Neurophysiol. 2005; 94(1):883-95. DOI: 10.1152/jn.01171.2004. View