Literature DB >> 26719992

Computations underlying sensorimotor learning.

Daniel M Wolpert1, J Randall Flanagan2.   

Abstract

The study of sensorimotor learning has a long history. With the advent of innovative techniques for studying learning at the behavioral and computational levels new insights have been gained in recent years into how the sensorimotor system acquires, retains, represents, retrieves and forgets sensorimotor tasks. In this review we highlight recent advances in the field of sensorimotor learning from a computational perspective. We focus on studies in which computational models are used to elucidate basic mechanisms underlying adaptation and skill acquisition in human behavior.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26719992      PMCID: PMC6103431          DOI: 10.1016/j.conb.2015.12.003

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


  55 in total

1.  Hand-held tools with complex kinematics are efficiently incorporated into movement planning and online control.

Authors:  Lee A Baugh; Erica Hoe; J Randall Flanagan
Journal:  J Neurophysiol       Date:  2012-07-05       Impact factor: 2.714

2.  Generalization and transfer of contextual cues in motor learning.

Authors:  A M E Sarwary; D F Stegeman; L P J Selen; W P Medendorp
Journal:  J Neurophysiol       Date:  2015-07-08       Impact factor: 2.714

3.  Vigor of movements and the cost of time in decision making.

Authors:  Jennie E S Choi; Pavan A Vaswani; Reza Shadmehr
Journal:  J Neurosci       Date:  2014-01-22       Impact factor: 6.167

4.  Reward feedback accelerates motor learning.

Authors:  Ali A Nikooyan; Alaa A Ahmed
Journal:  J Neurophysiol       Date:  2014-10-29       Impact factor: 2.714

5.  Three timescales in prism adaptation.

Authors:  Masato Inoue; Motoaki Uchimura; Ayaka Karibe; Jacinta O'Shea; Yves Rossetti; Shigeru Kitazawa
Journal:  J Neurophysiol       Date:  2014-10-08       Impact factor: 2.714

6.  The dissociable effects of punishment and reward on motor learning.

Authors:  Joseph M Galea; Elizabeth Mallia; John Rothwell; Jörn Diedrichsen
Journal:  Nat Neurosci       Date:  2015-02-23       Impact factor: 24.884

7.  The Decay of Motor Memories Is Independent of Context Change Detection.

Authors:  Andrew E Brennan; Maurice A Smith
Journal:  PLoS Comput Biol       Date:  2015-06-25       Impact factor: 4.475

8.  Visuomotor adaptation: how forgetting keeps us conservative.

Authors:  Katinka van der Kooij; Eli Brenner; Robert J van Beers; Jeroen B J Smeets
Journal:  PLoS One       Date:  2015-02-27       Impact factor: 3.240

Review 9.  Structure learning in action.

Authors:  Daniel A Braun; Carsten Mehring; Daniel M Wolpert
Journal:  Behav Brain Res       Date:  2009-08-29       Impact factor: 3.332

10.  Testing whether humans have an accurate model of their own motor uncertainty in a speeded reaching task.

Authors:  Hang Zhang; Nathaniel D Daw; Laurence T Maloney
Journal:  PLoS Comput Biol       Date:  2013-05-23       Impact factor: 4.475

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  26 in total

1.  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

2.  Individual Movement Variability Magnitudes Are Explained by Cortical Neural Variability.

Authors:  Shlomi Haar; Opher Donchin; Ilan Dinstein
Journal:  J Neurosci       Date:  2017-08-18       Impact factor: 6.167

3.  Feedforward neural control of toe walking in humans.

Authors:  Jakob Lorentzen; Maria Willerslev-Olsen; Helle Hüche Larsen; Christian Svane; Christian Forman; Rasmus Frisk; Simon Francis Farmer; Uwe Kersting; Jens Bo Nielsen
Journal:  J Physiol       Date:  2018-04-15       Impact factor: 5.182

4.  Response-based outcome predictions and confidence regulate feedback processing and learning.

Authors:  Romy Frömer; Matthew R Nassar; Rasmus Bruckner; Birgit Stürmer; Werner Sommer; Nick Yeung
Journal:  Elife       Date:  2021-04-30       Impact factor: 8.140

Review 5.  Spastic movement disorder: should we forget hyperexcitable stretch reflexes and start talking about inappropriate prediction of sensory consequences of movement?

Authors:  Jens Bo Nielsen; Mark Schram Christensen; Simon Francis Farmer; Jakob Lorentzen
Journal:  Exp Brain Res       Date:  2020-05-07       Impact factor: 1.972

6.  Real-time slacking as a default mode of grip force control: implications for force minimization and personal grip force variation.

Authors:  Brendan W Smith; Justin B Rowe; David J Reinkensmeyer
Journal:  J Neurophysiol       Date:  2018-08-08       Impact factor: 2.714

7.  Compensatory Responses to Formant Perturbations Proportionally Decrease as Perturbations Increase.

Authors:  Ayoub Daliri; Sara-Ching Chao; Lacee C Fitzgerald
Journal:  J Speech Lang Hear Res       Date:  2020-09-24       Impact factor: 2.297

8.  Cortico-cerebellar network involved in saccade adaptation.

Authors:  Alain Guillaume; Jason R Fuller; Riju Srimal; Clayton E Curtis
Journal:  J Neurophysiol       Date:  2018-09-12       Impact factor: 2.714

9.  Does sonification of action simulation training impact corticospinal excitability and audiomotor plasticity?

Authors:  Fabio Castro; Ladan Osman; Giovanni Di Pino; Aleksandra Vuckovic; Alexander Nowicky; Daniel Bishop
Journal:  Exp Brain Res       Date:  2021-03-08       Impact factor: 1.972

Review 10.  The sense of should: A biologically-based framework for modeling social pressure.

Authors:  Jordan E Theriault; Liane Young; Lisa Feldman Barrett
Journal:  Phys Life Rev       Date:  2020-01-23       Impact factor: 11.025

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