Literature DB >> 23031541

The computational and neural basis of voluntary motor control and planning.

Stephen H Scott1.   

Abstract

Optimal feedback control (OFC) provides a powerful tool to interpret voluntary motor control, highlighting the importance of sensory feedback in the control and planning of movement. Recent studies in the context of OFC have increasingly used mechanical perturbations and visual shifts to probe voluntary control processes. These studies reveal the surprising sophistication of corrective responses, which are goal-directed and exhibit knowledge of the physical properties of the limb and the environment. These complex feedback processes appear to be generated through transcortical feedback pathways. The research reviewed here opens and enhances several lines of discovery, including testing whether feedback corrections share all of the attributes associated with voluntary control, identifying how prediction influences optimal state estimation, and importantly, how these voluntary control processes are generated by the highly distributed circuitry within the brain.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 23031541     DOI: 10.1016/j.tics.2012.09.008

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  92 in total

1.  The optimal neural strategy for a stable motor task requires a compromise between level of muscle cocontraction and synaptic gain of afferent feedback.

Authors:  Jakob L Dideriksen; Francesco Negro; Dario Farina
Journal:  J Neurophysiol       Date:  2015-07-22       Impact factor: 2.714

Review 2.  Modeling the Role of Sensory Feedback in Speech Motor Control and Learning.

Authors:  Benjamin Parrell; John Houde
Journal:  J Speech Lang Hear Res       Date:  2019-08-29       Impact factor: 2.297

3.  Time course of changes in the long-latency feedback response parallels the fast process of short-term motor adaptation.

Authors:  Susan K Coltman; Paul L Gribble
Journal:  J Neurophysiol       Date:  2020-07-08       Impact factor: 2.714

4.  Multisensory components of rapid motor responses to fingertip loading.

Authors:  F Crevecoeur; A Barrea; X Libouton; J-L Thonnard; P Lefèvre
Journal:  J Neurophysiol       Date:  2017-05-03       Impact factor: 2.714

Review 5.  Perspectives on classical controversies about the motor cortex.

Authors:  Mohsen Omrani; Matthew T Kaufman; Nicholas G Hatsopoulos; Paul D Cheney
Journal:  J Neurophysiol       Date:  2017-06-14       Impact factor: 2.714

6.  Trial-by-Trial Motor Cortical Correlates of a Rapidly Adapting Visuomotor Internal Model.

Authors:  Sergey D Stavisky; Jonathan C Kao; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neurosci       Date:  2017-01-13       Impact factor: 6.167

7.  Control of force during rapid visuomotor force-matching tasks can be described by discrete time PID control algorithms.

Authors:  Jakob Lund Dideriksen; Daniel F Feeney; Awad M Almuklass; Roger M Enoka
Journal:  Exp Brain Res       Date:  2017-05-29       Impact factor: 1.972

8.  Nerve-Specific Input Modulation to Spinal Neurons during a Motor Task in the Monkey.

Authors:  Joachim Confais; Geehee Kim; Saeka Tomatsu; Tomohiko Takei; Kazuhiko Seki
Journal:  J Neurosci       Date:  2017-02-03       Impact factor: 6.167

9.  Through the eyes of a bird: modelling visually guided obstacle flight.

Authors:  Huai-Ti Lin; Ivo G Ros; Andrew A Biewener
Journal:  J R Soc Interface       Date:  2014-05-08       Impact factor: 4.118

10.  Primary motor cortex of the parkinsonian monkey: altered encoding of active movement.

Authors:  Benjamin Pasquereau; Mahlon R DeLong; Robert S Turner
Journal:  Brain       Date:  2015-10-21       Impact factor: 13.501

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.