Literature DB >> 25978563

Spinal circuits for motor learning.

Robert M Brownstone1, Tuan V Bui2, Nicolas Stifani3.   

Abstract

Studies of motor learning have largely focussed on the cerebellum, and have provided key concepts about neural circuits required. However, other parts of the nervous system are involved in learning, as demonstrated by the capacity to 'train' spinal circuits to produce locomotion following spinal cord injury. While somatosensory feedback is necessary for spinal motor learning, feed forward circuits within the spinal cord must also contribute. In fact, motoneurons themselves could act as comparators that integrate feed forward and feedback inputs, and thus contribute to motor learning. Application of cerebellar-derived principles to spinal circuitry leads to testable predictions of spinal organization required for motor learning.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25978563     DOI: 10.1016/j.conb.2015.04.007

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  15 in total

Review 1.  Genetically identified spinal interneurons integrating tactile afferents for motor control.

Authors:  Tuan V Bui; Nicolas Stifani; Izabela Panek; Carl Farah
Journal:  J Neurophysiol       Date:  2015-10-07       Impact factor: 2.714

Review 2.  Spinal control of motor outputs by intrinsic and externally induced electric field potentials.

Authors:  Elzbieta Jankowska
Journal:  J Neurophysiol       Date:  2017-05-24       Impact factor: 2.714

3.  Toward an Integration of Deep Learning and Neuroscience.

Authors:  Adam H Marblestone; Greg Wayne; Konrad P Kording
Journal:  Front Comput Neurosci       Date:  2016-09-14       Impact factor: 2.380

4.  Lack of adaptation during prolonged split-belt locomotion in the intact and spinal cat.

Authors:  Victoria Kuczynski; Alessandro Telonio; Yann Thibaudier; Marie-France Hurteau; Charline Dambreville; Etienne Desrochers; Adam Doelman; Declan Ross; Alain Frigon
Journal:  J Physiol       Date:  2017-07-18       Impact factor: 5.182

5.  Synaptic Projections of Motoneurons Within the Spinal Cord.

Authors:  Marco Beato; Gary Bhumbra
Journal:  Adv Neurobiol       Date:  2022

6.  Spinal microcircuits comprising dI3 interneurons are necessary for motor functional recovery following spinal cord transection.

Authors:  Tuan V Bui; Nicolas Stifani; Turgay Akay; Robert M Brownstone
Journal:  Elife       Date:  2016-12-15       Impact factor: 8.140

7.  Brain pathology is related to total daily physical activity in older adults.

Authors:  Aron S Buchman; Robert J Dawe; Lei Yu; Andrew Lim; Robert S Wilson; Julie A Schneider; David A Bennett
Journal:  Neurology       Date:  2018-04-25       Impact factor: 9.910

8.  Evidence for startle as a measurable behavioral indicator of motor learning.

Authors:  Nathan J Kirkpatrick; Vengateswaran J Ravichandran; Eric J Perreault; Sydney Y Schaefer; Claire F Honeycutt
Journal:  PLoS One       Date:  2018-05-09       Impact factor: 3.240

Review 9.  Escape from homeostasis: spinal microcircuits and progression of amyotrophic lateral sclerosis.

Authors:  Robert M Brownstone; Camille Lancelin
Journal:  J Neurophysiol       Date:  2018-01-31       Impact factor: 2.714

10.  The level of performance stabilization influences motor adaptation on an isometric force control task.

Authors:  Suziane Peixoto Dos Santos; Rodolfo N Benda; Crislaine Rangel Couto; Carlos Eduardo Campos; André Gustavo Pereira Andrade; Guilherme M Lage; Herbert Ugrinowitsch
Journal:  PLoS One       Date:  2017-10-26       Impact factor: 3.240

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