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Stable visually guided reaching does not require an internal feedforward model to compensate for internal delay: Data

Geoffrey P Bingham1, Xiaoye Michael Wang2, Rachel A Herth1

  • 1Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.

Vision Research
|November 28, 2022
PubMed
Summary
This summary is machine-generated.

Stable visually guided reaching does not require internal feedforward models to compensate for neural transmission delays. Research shows the brain can achieve accurate movements even with delayed feedback.

Keywords:
Internal modelProspective informationReachingTauVisual guidance

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Area of Science:

  • Motor control
  • Neuroscience
  • Human movement science

Background:

  • Visually guided reaching is typically performed within one second.
  • Neural transmission delays can destabilize feedback control systems.
  • Internal feedforward models are hypothesized to be necessary for stable reaching with delayed feedback.

Purpose of the Study:

  • To investigate if internal models are essential for stable visually guided reaching.
  • To determine the role of feedforward models in compensating for neural delays during movement.

Main Methods:

  • Participants performed rapid targeted reaches in a virtual environment.
  • Experiments involved varying visual guidance, mapping conditions (constant vs. variable), and reach types (visually guided vs. feedforward).
  • Movement trajectories were simulated using a proportional rate Equilibrium Point (EP) model and compared to behavioral data.

Main Results:

  • Visually guided reaches with variable mappings were accurate, despite expectations of performance degradation.
  • Feedforward reaches with variable mappings resulted in significant errors.
  • Simulations indicated that stable visually guided reaching did not necessitate an internal feedforward model to handle feedback delay.

Conclusions:

  • Stable visually guided reaching can be achieved without relying on internal feedforward models to counteract neural transmission delays.
  • The brain effectively manages delayed feedback during complex motor tasks.
  • This finding challenges the prevailing assumption about the necessity of internal models for motor control under delay.