Get Progress in Motor Control: Neural, Computational and Dynamic PDF

By Adrian M. Haith, John W. Krakauer (auth.), Michael J. Richardson, Michael A. Riley, Kevin Shockley (eds.)

ISBN-10: 1461454646

ISBN-13: 9781461454649

ISBN-10: 1461454654

ISBN-13: 9781461454656

This quantity is the latest installment of the growth in Motor keep an eye on sequence. It includes contributions in accordance with displays via invited audio system on the development in Motor keep an eye on VIII assembly held in Cincinnati, OH, united states in July, 2011. development in Motor regulate is the legitimate clinical assembly of the overseas Society of Motor keep watch over (ISMC). The development in Motor keep an eye on VIII assembly, and accordingly this quantity, offer a large standpoint at the most modern examine on motor regulate in people and different species.

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Extra resources for Progress in Motor Control: Neural, Computational and Dynamic Approaches

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In the following section, we review recent literature demonstrating how the ACC/medial prefrontal system contributes to feedback and feedforward motor learning. Feedback Error Processing in the ACC The ACC error monitoring system has traditionally been viewed as contributing to the feedback processing of errors. The ERN is a response-locked ERP component that appears after commission of an error, which is monitored by the medial prefrontal/ACC system and contributes to performance improvement (Gehring et al.

Seidler, Youngbin Kwak, Brett W. Fling and Jessica A. Bernard Introduction During the initial stages of skill learning, motor performance is cognitively demanding and uncoordinated. Understanding how an individual progresses to the exquisite and automatic processes of proficient performance has not been a trivial process. Here, we review the role that error detection and correction plays in skill learning. We make a distinction between within trial error corrections, or performance adjustments made during the course of a movement that is not achieving its intended goal, and across trial error corrections, or cumulative adjustments that reflect ongoing learning.

Coincident with the period when motor neurons express a distinct type of NMDA-R, the dendrites of motor neurons are undergoing substantial growth (Curfs et al. 1993; Lindsay et al. 1991; Núñez-Abades et al. 1994). Overall tree size and number of branches increase approximately twofold to threefold between postnatal day 7 (P7) and P21. Antagonism of NMDA-Rs with (2R)-amino-5phosphonopentanoate (APV) or MK-801 inhibits the growth of motor neuron dendrites of NMDA-R (Kalb 1994). In contrast to their effects on developing dendrites, antagonism of NMDA-Rs in adult animals has no effect on motor neuron dendrite architecture.

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Progress in Motor Control: Neural, Computational and Dynamic Approaches by Adrian M. Haith, John W. Krakauer (auth.), Michael J. Richardson, Michael A. Riley, Kevin Shockley (eds.)

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