Literature DB >> 28489490

The Role of Variability in Motor Learning.

Ashesh K Dhawale1,2, Maurice A Smith2,3, Bence P Ölveczky1,2.   

Abstract

Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and widely considered to be the unwanted consequence of a noisy nervous system. However, recent studies have suggested that motor variability may also be a feature of how sensorimotor systems operate and learn. This view, rooted in reinforcement learning theory, equates motor variability with purposeful exploration of motor space that, when coupled with reinforcement, can drive motor learning. Here we review studies that explore the relationship between motor variability and motor learning in both humans and animal models. We discuss neural circuit mechanisms that underlie the generation and regulation of motor variability and consider the implications that this work has for our understanding of motor learning.

Entities:  

Keywords:  motor adaptation; motor control; reinforcement learning; songbird

Mesh:

Year:  2017        PMID: 28489490      PMCID: PMC6091866          DOI: 10.1146/annurev-neuro-072116-031548

Source DB:  PubMed          Journal:  Annu Rev Neurosci        ISSN: 0147-006X            Impact factor:   12.449


  126 in total

1.  System identification applied to a visuomotor task: near-optimal human performance in a noisy changing task.

Authors:  R J Baddeley; H A Ingram; R C Miall
Journal:  J Neurosci       Date:  2003-04-01       Impact factor: 6.167

2.  Optimal feedback control as a theory of motor coordination.

Authors:  Emanuel Todorov; Michael I Jordan
Journal:  Nat Neurosci       Date:  2002-11       Impact factor: 24.884

3.  Bayesian integration in sensorimotor learning.

Authors:  Konrad P Körding; Daniel M Wolpert
Journal:  Nature       Date:  2004-01-15       Impact factor: 49.962

4.  Mastering the game of Go with deep neural networks and tree search.

Authors:  David Silver; Aja Huang; Chris J Maddison; Arthur Guez; Laurent Sifre; George van den Driessche; Julian Schrittwieser; Ioannis Antonoglou; Veda Panneershelvam; Marc Lanctot; Sander Dieleman; Dominik Grewe; John Nham; Nal Kalchbrenner; Ilya Sutskever; Timothy Lillicrap; Madeleine Leach; Koray Kavukcuoglu; Thore Graepel; Demis Hassabis
Journal:  Nature       Date:  2016-01-28       Impact factor: 49.962

5.  Effect of reward probability on spatial and temporal variation.

Authors:  W David Stahlman; Seth Roberts; Aaron P Blaisdell
Journal:  J Exp Psychol Anim Behav Process       Date:  2010-01

Review 6.  A neural substrate of prediction and reward.

Authors:  W Schultz; P Dayan; P R Montague
Journal:  Science       Date:  1997-03-14       Impact factor: 47.728

7.  Neural variability in premotor cortex is modulated by trial history and predicts behavioral performance.

Authors:  Encarni Marcos; Pierpaolo Pani; Emiliano Brunamonti; Gustavo Deco; Stefano Ferraina; Paul Verschure
Journal:  Neuron       Date:  2013-04-24       Impact factor: 17.173

8.  Uncertainty of feedback and state estimation determines the speed of motor adaptation.

Authors:  Kunlin Wei; Konrad Körding
Journal:  Front Comput Neurosci       Date:  2010-05-11       Impact factor: 2.380

9.  A Representation of Effort in Decision-Making and Motor Control.

Authors:  Reza Shadmehr; Helen J Huang; Alaa A Ahmed
Journal:  Curr Biol       Date:  2016-06-30       Impact factor: 10.834

10.  The Statistical Determinants of the Speed of Motor Learning.

Authors:  Kang He; You Liang; Farnaz Abdollahi; Moria Fisher Bittmann; Konrad Kording; Kunlin Wei
Journal:  PLoS Comput Biol       Date:  2016-09-08       Impact factor: 4.475

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  88 in total

1.  Category structure guides the formation of neural representations.

Authors:  Daniel J Plebanek; Karin H James
Journal:  Exp Brain Res       Date:  2021-03-29       Impact factor: 1.972

2.  Alterations in the amplitude and burst rate of beta oscillations impair reward-dependent motor learning in anxiety.

Authors:  Sebastian Sporn; Thomas Hein; Maria Herrojo Ruiz
Journal:  Elife       Date:  2020-05-19       Impact factor: 8.140

3.  Thalamostriatal and cerebellothalamic pathways in a songbird, the Bengalese finch.

Authors:  David A Nicholson; Todd F Roberts; Samuel J Sober
Journal:  J Comp Neurol       Date:  2018-04-06       Impact factor: 3.215

4.  Adaptive Regulation of Motor Variability.

Authors:  Ashesh K Dhawale; Yohsuke R Miyamoto; Maurice A Smith; Bence P Ölveczky
Journal:  Curr Biol       Date:  2019-10-17       Impact factor: 10.834

5.  Error variability affects the after effects following motor learning of lateral balance control during walking in people with spinal cord injury.

Authors:  Jui-Te Lin; Chao-Jung Hsu; Weena Dee; David Chen; William Zev Rymer; Ming Wu
Journal:  Eur J Neurosci       Date:  2019-06-20       Impact factor: 3.386

Review 6.  Interfacing behavioral and neural circuit models for habit formation.

Authors:  Talia N Lerner
Journal:  J Neurosci Res       Date:  2020-01-08       Impact factor: 4.164

7.  From known to unknown: moving to unvisited locations in a novel sensorimotor map.

Authors:  Floris T van Vugt; David J Ostry
Journal:  Ann N Y Acad Sci       Date:  2018-03-03       Impact factor: 5.691

8.  It's Not (Only) the Mean that Matters: Variability, Noise and Exploration in Skill Learning.

Authors:  Dagmar Sternad
Journal:  Curr Opin Behav Sci       Date:  2018-03-01

9.  A Basal Ganglia Circuit Sufficient to Guide Birdsong Learning.

Authors:  Lei Xiao; Gaurav Chattree; Francisco Garcia Oscos; Mou Cao; Matthew J Wanat; Todd F Roberts
Journal:  Neuron       Date:  2018-03-15       Impact factor: 17.173

10.  Methods for measuring swallowing pressure variability using high-resolution manometry.

Authors:  Corinne A Jones; Ellen L Meisner; Courtney K Broadfoot; Sarah P Rosen; Christine R Samuelsen; Timothy M McCulloch
Journal:  Front Appl Math Stat       Date:  2018-07-02
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