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Action sharpens sensory representations of expected outcomes.

Daniel Yon1, Sam J Gilbert2, Floris P de Lange3

  • 1Department of Psychological Sciences, Birkbeck, University of London, London, WC1E 7HX, UK. d.yon@bbk.ac.uk.

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|October 18, 2018
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Summary

Sensorimotor prediction sharpens sensory representations, enhancing perception of action outcomes. This challenges action control models by showing expected sensory signals are refined, not cancelled, for better accuracy.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Perception

Background:

  • Action control models propose predictions cancel expected sensory processing.
  • Bayesian sensory cognition models suggest predictions sharpen sensory representations.
  • Distinguishing between these accounts is crucial for understanding sensorimotor integration.

Purpose of the Study:

  • To investigate whether sensorimotor predictions cancel or sharpen sensory perception.
  • To differentiate between dominant action control and Bayesian sensory cognition models.

Main Methods:

  • fMRI experiment with participants performing hand actions (index vs. little finger movement).
  • Participants observed avatar hand movements congruent or incongruent with their actions.
  • Decoding of visual representations of hand movements from fMRI data.

Main Results:

  • Visual representations of hand movements were decoded more accurately when congruent with action.
  • Decoding enhancements correlated with suppressed neural activity in voxels tuned away from expected stimuli.
  • Findings support the sharpening account over the cancellation account.

Conclusions:

  • Sensorimotor prediction sharpens expected sensory representations, rather than cancelling them.
  • This sharpening mechanism facilitates veridical perception of action outcomes.
  • Results challenge dominant models of action control in favor of Bayesian principles.