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Continuous Tracking of Task Parameters Tunes Reaching Control Online.

Antoine De Comite¹, Frédéric Crevecoeur¹, Philippe Lefèvre²

¹Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Institute of Neuroscience (IoNS), UCLouvain, 1348 Louvain-la-Neuve, Belgium.

|July 14, 2022

Summary

Human reaching movements continuously adapt control strategies online. This study shows feedback responses dynamically adjust to changing target widths, indicating continuous, not discrete, policy transformations.

Keywords:

dynamical control online feedback control strategy reaching movement target switching

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Area of Science:

Neuroscience
Motor Control
Human Movement Science

Background:

Human reaching movements are adaptable to task goals and environmental context.
Previous research indicated online adjustments in goal-directed control following target structure changes.
The mechanism of these adjustments (discrete switching vs. continuous dynamics) remained unclear.

Purpose of the Study:

To investigate if feedback control strategies in reaching movements are continuously adjusted.
To determine if feedback responses to mechanical perturbations are sensitive to the rate of target width change.
To differentiate between discrete policy switching and continuous dynamic adjustments in motor control.

Main Methods:

Participants performed reaching movements with varying target widths.
Mechanical perturbations were introduced during movements.
Movement kinematics and surface electromyography (EMG) data were analyzed to assess feedback responses.

Main Results:

Feedback responses to mechanical perturbations were modulated based on the dynamic changes in target width.
The rate of change in target width influenced feedback control strategies.
Results were inconsistent with a simple, discrete switching hypothesis.

Conclusions:

Human motor control exhibits continuous, online transformations of task parameters into control policies.
The findings support a dynamic adjustment mechanism rather than a switch between predefined strategies.
This demonstrates a sophisticated online adaptation capability in human reaching movements.