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Research that has implemented motor learning and rehabilitation practice has been used within the stroke population and includes arm ability training, constraint-induced movement therapy, electromyograph-triggered neuromuscular stimulation, interactive robot therapy and virtual reality-based rehabilitation. A recent study ischemic conditioning ...
Though this theory represented an important leap forward in motor learning research, [1] one weakness in Adams’ closed-loop theory was the requirement of 1-to-1 mapping between stored states (motor programs) and movements to be made. This presented an issue related to the storage capacity of the central nervous system; a vast array of ...
The challenge point framework, created by Mark A. Guadagnoli and Timothy D. Lee (2004), provides a theoretical basis to conceptualize the effects of various practice conditions in motor learning. This framework relates practice variables to the skill level of the individual, task difficulty, and information theory concepts.
Motor learning is a change, resulting from practice. It often involves improving the accuracy of movements both simple and complex as one's environment changes. Motor learning is a relatively permanent skill as the capability to respond appropriately is acquired and retained. [17]
Other authors suggest a new notion of the phylogenetic and ontogenetic origin of action understanding that utilizes the motor system; the motor cognition hypothesis. This states that motor cognition provides both human and nonhuman primates with a direct, prereflexive understanding of biological actions that match their own action catalog. [5]
The goal of applying the Bobath concept is to promote motor learning for efficient motor control in various environments, thereby improving participation and function. This is done through specific patient handling skills to guide patients through the initiation and completing of intended tasks. [ 3 ]
Motor adaptation, a form of motor learning, is the process of acquiring and restoring locomotor patterns (e.g. leg coordination patterns) through an error-driven learning process. This type of adaptation is context-dependent and hence, is specific to the environment in which the adaptation occurred.
Optimal control is a way of understanding motor control and the motor equivalence problem, but as with most mathematical theories about the nervous system, it has limitations. The theory must have certain information provided before it can make a behavioral prediction: what the costs and rewards of a movement are, what the constraints on the ...