Literature DB >> 21209216

The neuronal basis of long-term sensorimotor learning.

Yael Mandelblat-Cerf1, Itai Novick, Rony Paz, Yuval Link, Sharon Freeman, Eilon Vaadia.   

Abstract

The brain has a remarkable ability to learn and adjust behavior. For instance, the brain can adjust muscle activation to cope with changes in the environment. However, the neuronal mechanisms behind this adaptation are not clear. To address this fundamental question, this study examines the neuronal basis of long-term sensorimotor learning by recording neuronal activity in the primary motor cortex of monkeys during a long-term adaptation to a force-field perturbation. For 5 consecutive days, the same perturbation was applied to the monkey's hand when reaching to a single target, whereas movements to all other targets were not perturbed. The gradual improvement in performance over these 5 days was correlated to the evolvement in the population neuronal signal, with two timescales of changes in single-cell activity. Specifically, one subgroup of cells showed a relatively fast increase in activity, whereas the other showed a gradual, slower decrease. These adapted patterns of neuronal activity did not involve changes in directional tuning of single cells, suggesting that adaptation was the result of adjustments of the required motor plan by a population of neurons rather than changes in single-cell properties. Furthermore, generalization was mostly expressed in the direction of the required compensatory force during adaptation. Altogether, the neuronal activity and its generalization accord with the adapted motor plan.

Mesh:

Year:  2011        PMID: 21209216      PMCID: PMC6622741          DOI: 10.1523/JNEUROSCI.4055-10.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  15 in total

1.  Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex.

Authors:  Steven M Chase; Robert E Kass; Andrew B Schwartz
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

2.  Activity of the same motor cortex neurons during repeated experience with perturbed movement dynamics.

Authors:  Andrew G Richardson; Tommaso Borghi; Emilio Bizzi
Journal:  J Neurophysiol       Date:  2012-03-28       Impact factor: 2.714

3.  Distinct types of neural reorganization during long-term learning.

Authors:  Xiao Zhou; Rex N Tien; Sadhana Ravikumar; Steven M Chase
Journal:  J Neurophysiol       Date:  2019-02-06       Impact factor: 2.714

4.  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

5.  Learning to Predict and Control the Physics of Our Movements.

Authors:  Reza Shadmehr
Journal:  J Neurosci       Date:  2017-02-15       Impact factor: 6.167

6.  Changes in corticospinal excitability during reach adaptation in force fields.

Authors:  Jean-Jacques Orban de Xivry; Mohammad Ali Ahmadi-Pajouh; Michelle D Harran; Yousef Salimpour; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2012-10-03       Impact factor: 2.714

7.  Rapid acquisition of novel interface control by small ensembles of arbitrarily selected primary motor cortex neurons.

Authors:  Andrew J Law; Gil Rivlis; Marc H Schieber
Journal:  J Neurophysiol       Date:  2014-06-11       Impact factor: 2.714

8.  Task Errors Drive Memories That Improve Sensorimotor Adaptation.

Authors:  Li-Ann Leow; Welber Marinovic; Aymar de Rugy; Timothy J Carroll
Journal:  J Neurosci       Date:  2020-02-06       Impact factor: 6.167

9.  Dissociating effects of error size, training duration, and amount of adaptation on the ability to retain motor memories.

Authors:  Laith Alhussein; Eghbal A Hosseini; Katrina P Nguyen; Maurice A Smith; Wilsaan M Joiner
Journal:  J Neurophysiol       Date:  2019-09-04       Impact factor: 2.714

10.  Altered tuning in primary motor cortex does not account for behavioral adaptation during force field learning.

Authors:  Matthew G Perich; Lee E Miller
Journal:  Exp Brain Res       Date:  2017-06-06       Impact factor: 1.972

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