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Traditionally, this process has benefited from the rigorous development and testing of hypotheses using tools derived from classical psychophysics and computational motor control.
In computational motor control several studies have investigated internal models (inverse, forward) by manipulating mechanical constraints.
Schaal S, Schweighofer N: Computational motor control in humans and robots.
In computational motor control this usually involves the use of forward and inverse models, where the inverse model supplies the motor command and the forward model converts efference copy into sensory predictions (Wolpert and Kawato 1998).
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Thus, changes in VMC capabilities, as seen in PD patients, underscores the multi-dimensionality of basal ganglia involvement in cognitive, computational and motor aspects which underlay normal function.
This process of decomposition and distribution of muscle activation reduces the computational requirements of motor control and possibly influences the learning of new motor tasks [ 30].
Multiscale computational modeling of motor learning based on plasticity mechanisms within populations of cells has shown two conditions where motor learning fails: (1) lack of the sensory information (or attention to the sensory information) needed for error correction; (2) large performance errors so that incorrect movements are being practiced [49].
In this paper, we propose a biologically plausible computational model of motor skill automaticity.
The effectiveness of the proposed approach is illustrated through the implementation of computational models for motor cortex and hippocampus, which are successfully tested on a simulated mobile robot.
Computational models of motor control have often explained the straightness of horizontal planar reaching movements as a consequence of optimal control.
From a functional point of view, computational models of motor control, which posit the existence of internal models in the brain [21], [22], could be useful in interpreting the ANS activation by central mechanisms.
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