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Motor control refers to the process by which the nervous system coordinates the muscle and limbs to achieve a desired movement or set of actions. This includes the ability to anticipate, adjust and respond to deviations from the desired action.
A computational approach that uses the statistics of movement to find a mapping between neural activity and motor variables decodes the intended movements of monkeys with performance comparable to that of supervised methods.
Complex motor behaviors such as birdsong are learned through practice and are thought to depend on specific excitatory connectivity in premotor circuits. Here the authors show that song learning in Bengalese Finches is associated with enrichment of inhibitory network connectivity that can affect specific song features.
Intra- and interlimb coordination during locomotion is governed by hierarchically organized lumbar spinal networks. Here, the authors show that reversible silencing of spinal L2–L5 interneurons specifically disrupts hindlimb alternation leading to a continuum of walking to hopping.