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This schema seems to be in line with recent motor control theory focusing on an internal model [20] [23], but can this schema fully explain the emergence of the odd sensation when stepping onto a stopped escalator?
The human sensorimotor system exhibits highly stochastic characteristics due to various cellular and behavioral sources of variability [30] and a complete motor control theory must contend with the detrimental effects of signal dependent noise (SDN) on task performance.
This apparent discrepancy is resolved by closer examination of the origins of binding, within the motor control theory, to which we turn next.
According to motor control theory, the speed-accuracy trade-off arises because larger or faster movements are subject to greater motor noise [ 7, 8].
Motor control theory suggests that an efference copy of the motor command is used to predict the sensory consequence of one's own action.
In an extension of motor control theory, the awareness and control of action are tightly linked: both are provided by internal models in the CNS (Frith et al., 2000; Blakemore et al., 2002).
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Based on human motor control theories, the authors hypothesized that the dynamics of the master manipulators impose challenges on the motor system of the user and may impair performance and slow down learning.
This article reviews motor control theories and factors influencing movement execution, and indicates how intrinsic movement variability is part of task completion.
In the past decade, a number of motor control theories have been proposed that are formally of the same kind as the minimum principles of physics, and some of these have been quite successful at predicting motor performance in a variety of tasks.
Thus, oculomotor systems are among the best understood sensorimotor systems in the primate brain; they constitute a model for testing motor control theories for exploring brain function and plasticity.
A variety of motor control theories exist to describe how movement takes place.
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