title: The countermanding task revisited: fast stimulus detection is a key determinant of psychophysical performance.
abstract: The countermanding task is a standard method for assessing cognitive/inhibitory control over action and for investigating its neural correlates. In it, the subject plans a movement and either executes it, if no further instruction is given, or attempts to prevent it, if a stop signal is shown. Through various experimental manipulations, many studies have sought to characterize the inhibitory mechanisms thought to be at work in the task, typically using an inferred, model-dependent metric called the stop-signal reaction time. This approach has consistently overlooked the impact of perceptual evaluation on performance. Through analytical work and computer simulations, here we show that psychophysical performance in the task can be easily understood as the result of an ongoing motor plan that is modified (decelerated) by the outcome of a rapid sensory detection process. Notably, no specific assumptions about hypothetical inhibitory mechanisms are needed. This modeling framework achieves four things: (1) it replicates and reconciles behavioral results in numerous variants of the countermanding task; (2) it provides a new, objective metric for characterizing task performance that is more effective than the stop-signal reaction time; (3) it shows that the time window over which detection of a high-visibility stimulus effectively occurs is extremely short (∼20 ms); and (4) it indicates that modulating neuronal latencies and the buildup rates of developing motor plans are two key neural mechanisms for controlling action. The results suggest that manipulations of the countermanding task often cause changes in perceptual detection processes, and not necessarily in inhibition.
authors.affiliation: Department of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157-1010, USA. esalinas@wakehealth.edu
authors.forename: Emilio
authors.initials: E
authors.lastname: Salinas
authors.forename: Terrence R
authors.initials: TR
authors.lastname: Stanford
mesh_terms: D003198:Computer Simulation; D056344:Executive Function / Q000502:physiology*; D006801:Humans; D007266:Inhibition, Psychological; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology; D010775:Photic Stimulation; D011601:Psychophysics; D011930:Reaction Time / Q000502:physiology; D017603:Signal Detection, Psychological / Q000502:physiology*; D013997:Time Factors
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