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Studying Food Reward and Motivation in Humans
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Sensorimotor feedback loops are selectively sensitive to reward.

Olivier Codol1,2,3, Mehrdad Kashefi1,2,4,5, Christopher J Forgaard1,2

  • 1Brain and Mind Institute, University of Western Ontario, London, Canada.

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|January 13, 2023
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Summary
This summary is machine-generated.

Reward enhances motor performance by increasing the gain of fast sensorimotor feedback loops, not by reducing response latency. This finding offers insights into optimizing athletic coaching through reward shaping.

Keywords:
humanmotor controlneuroscienceproprioceptionreinforcement learningsensorimotor feedbackvision

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Area of Science:

  • Neuroscience
  • Motor Control
  • Human Performance

Background:

  • Motivational factors like monetary rewards enhance motor performance.
  • The precise neural mechanisms underlying reward-induced motor improvements are not fully understood.
  • Feedback control, crucial for movement correction, involves multiple loops with varying characteristics.

Purpose of the Study:

  • To systematically investigate how reward affects the latency and gain of distinct sensorimotor feedback loops.
  • To identify which specific feedback loops are modulated by reward.
  • To understand the differential impact of reward on feedback control parameters.

Main Methods:

  • Human participants performed tasks while reward levels were manipulated.
  • Seven distinct sensorimotor feedback loops (visual and proprioceptive) were analyzed.
  • The latency and gain of corrective responses within these loops were measured.

Main Results:

  • Fast sensorimotor feedback loops were largely insensitive to reward.
  • Reward primarily increased the gain of feedback responses, particularly in faster loops.
  • Latency reduction was observed mainly in slower feedback loops.
  • These effects were consistent across visual and proprioceptive feedback.

Conclusions:

  • Reward modulates sensorimotor feedback control by enhancing response gain rather than reducing latency, especially in faster loops.
  • Understanding these reward-sensitive mechanisms can inform strategies in areas like athletic coaching.
  • Targeted 'reward shaping' may optimize performance by leveraging specific feedback pathways.