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Control of sensorimotor variability by consequences.

Laurent Madelain1, Lucie Champrenaut, Alan Chauvin

  • 1Laboratoire URECA, UFR de Psychologie, Université Lille III, Domaine du Pont de Bois, BP 149, 59653, Villeneuve d'Ascq Cedex, France. laurent.madelain@univ-lille3.fr

Journal of Neurophysiology
|August 19, 2007
PubMed
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Researchers investigated reaction time distributions to understand decision-making. They found that feedback can independently alter reaction time variability and median, suggesting decision process noise can be modified.

Area of Science:

  • Cognitive Neuroscience
  • Psychology
  • Computational Neuroscience

Background:

  • Reaction-time (RT) distributions offer quantitative insights into neural and behavioral decision processes.
  • A link between RT latency spread and median is established, but experimental disentanglement is lacking.

Purpose of the Study:

  • To experimentally test the independent control of median and variability in human reaction times.
  • To investigate if learned contingencies can modify decision process noise.

Main Methods:

  • Human participants performed a two-alternative forced-choice (2AFC) task measuring saccadic and manual reaction times.
  • Subjects were trained to produce specific RT distributions using reinforcing feedback based on median and variability.
  • Latency distributions were modeled using the Reddi and Carpenter LATER model.

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Main Results:

  • Reinforcing low variability reduced standard deviation (SD) by 50%; reinforcing high variability returned SD to baseline.
  • The experimental procedure successfully and independently altered RT distribution spread and median.
  • The LATER model simulations indicated that changes in decision process noise distribution explained the observed effects.

Conclusions:

  • Learned contingencies can significantly modulate reaction time variability.
  • The study supports the concept that the 'noise' level in neural decision processes is adaptable and can change long-term.