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Published on: August 8, 2019
Motor adaptation and generalization of reaching movements using motor primitives based on spatial coordinates
Hirokazu Tanaka1, Terrence J Sejnowski2
1Howard Hughes Medical Institute, Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California; School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan hirokazu@salk.edu.
The brain uses distinct spatial coordinate systems for motor control, adapting to perturbations like force fields or visual rotations. This unified model explains how motor adaptation generalizes across different reference frames.
Area of Science:
- Neuroscience
- Motor Control
- Computational Neuroscience
Background:
- The brain employs diverse coordinate systems for sensory and motor processing, from retinal to body-centered frames.
- Understanding the reference frames in the motor cortex is crucial for explaining action guidance.
Purpose of the Study:
- To investigate the allocentric reference frame in the motor cortex using spatial coordinates.
- To examine physiological and psychophysical evidence for coordinate systems in motor control.
Main Methods:
- Extending a computational framework based on spatial vectors and cross products to model motor adaptation.
- Analyzing how coefficients of velocity- and acceleration-dependent cross products adapt to perturbations.
Main Results:
- Each cross product exhibits a distinct reference frame, influencing generalization to untrained locations.
- Velocity-dependent cross products adapt to force fields (intrinsic frame), while acceleration-dependent ones adapt to visuomotor rotations (extrinsic frame).
- The model predicts specific under- or overgeneralization patterns in visuomotor adaptation based on workspace location.
Conclusions:
- A unified computational model based on cross-product bases explains distinct generalization patterns in visuomotor and force-field adaptation.
- Kinematic and dynamic motor adaptation may not require separate neural substrates.
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