Abstract

A key goal in the study of decision making is determining how neural networks involved in perception and motor planning interact to generate a given choice, but this is complicated due to the internal trade-off between speed and accuracy, which confounds their individual contributions. Urgent decisions, however, are special: they may range between random and fully informed, depending on the amount of processing time (or stimulus viewing time) available in each trial, but regardless, movement preparation always starts early on. As a consequence, under time pressure it is possible to produce a psychophysical curve that characterizes perceptual performance independently of reaction time, and this, in turn, makes it possible to pinpoint how perceptual information (which requires sensory input) modulates motor planning (which does not) to guide a choice. Here we review experiments in which, on the basis of this approach, the origin of the speed-accuracy trade-off becomes particularly transparent. Psychophysical, neurophysiological, and modeling results in the “compelled-saccade” task indicate that, during urgent decision making, perceptual information—if and whenever it becomes available—accelerates or decelerates competing motor plans that are already ongoing. This interaction affects both the reaction time and the probability of success in any given trial. In two experiments with reward asymmetries, we find that speed and accuracy can be traded in different amounts and for different reasons, depending on how the particular task contingencies affect specific neural mechanisms related to perception and motor planning. Therefore, from the vantage point of urgent decisions, the speed-accuracy trade-off is not a unique phenomenon tied to a single underlying mechanism, but rather a typical outcome of many possible combinations of internal adjustments within sensory-motor neural circuits.

Highlights

  • A key goal in the study of decision making is determining how neural networks involved in perception and motor planning interact to generate a given choice, but this is complicated due to the internal trade-off between speed and accuracy, which confounds their individual contributions

  • What is the underlying cause of this interdependence? How does it emerge from the structure and dynamics of neural circuits? We consider these questions in the context of decisions that are coupled to immediate actions

  • Part of the problem is that the reaction time (RT) reflects the total amount of time consumed by all the subsystems that contribute to a choice or decision process

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Summary

THE PROBLEM OF PARSING THE REACTION TIME

Some decisions are rather abstract (should I trust the financial adviser?) whereas others require a specific action (should I press the brake or the accelerator?). The idea is that neurons, or any processing component in general, whose responses vary systematically as functions of cue viewing time may be strongly involved in the analysis of perceptual information This manipulation is not as straightforward as it may seem, though, because controlling very short stimulus durations is difficult and typically requires additional masking stimuli to prevent stimulus persistence, and such masking introduces other potential problems (Breitmeyer and Ogmen, 2000, 2006). Under this light it is possible to see how perceptual capacity and motor execution interact to determine the response speed and success rate of a subject, and how additional factors such as motivation or internal preference may alter that interaction In this way, it becomes quite clear that the speed-accuracy trade-off is not a unitary phenomenon derived from a unique, underlying mechanism, but is instead the result of multiple, semi-independent moving parts that interact with each other within sensory-motor neural circuits

PERCEPTUAL DECISIONS UNDER TIME PRESSURE
THE TACHOMETRIC CURVE
MULTIPLE MECHANISMS FOR GENERATING TRADE-OFFS
A HEURISTIC MODELING FRAMEWORK FOR DESCRIBING URGENT DECISIONS
Findings
BROADER IMPLICATIONS
Full Text
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