Literature DB >> 25057191

Cerebellar encoding of multiple candidate error cues in the service of motor learning.

Christine C Guo1, Michael C Ke2, Jennifer L Raymond3.   

Abstract

For learning to occur through trial and error, the nervous system must effectively detect and encode performance errors. To examine this process, we designed a set of oculomotor learning tasks with more than one visual object providing potential error cues, as would occur in a natural visual scene. A task-relevant visual target and a task-irrelevant visual background both influenced vestibulo-ocular reflex learning in rhesus monkeys. Thus, motor learning does not identify a single error cue based on behavioral relevance, but can be simultaneously influenced by more than one cue. Moreover, the relative weighting of the different cues could vary. If the speed of the visual target's motion on the retina was low (≪1°/s), background motion dominated learning, but if target speed was high, the effects of the background were suppressed. The target and background motion had similar, nonlinear effects on the putative neural instructive signals carried by cerebellar climbing fibers, but with a stronger influence of the background on the climbing fibers than on learning. In contrast, putative neural instructive signals carried by the simple spikes of Purkinje cells were influenced solely by the motion of the visual target. Because they are influenced by different cues during training, joint control of learning by the climbing fibers and Purkinje cells may expand the learning capacity of the cerebellar circuit.
Copyright © 2014 the authors 0270-6474/14/339880-11$15.00/0.

Entities:  

Keywords:  Purkinje cell; cerebellum; climbing fiber; error signal; eye movement; motor learning

Mesh:

Year:  2014        PMID: 25057191      PMCID: PMC4107405          DOI: 10.1523/JNEUROSCI.5114-13.2014

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


  48 in total

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Journal:  Brain Res       Date:  1974-12-27       Impact factor: 3.252

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Journal:  Brain Res       Date:  1974-01-04       Impact factor: 3.252

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Review 10.  Saccade and vestibular ocular motor adaptation.

Authors:  Michael C Schubert; David S Zee
Journal:  Restor Neurol Neurosci       Date:  2010       Impact factor: 2.406

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  9 in total

1.  Signals and learning rules guiding oculomotor plasticity.

Authors:  Soon-Lim Shin; Grace Q Zhao; Jennifer L Raymond
Journal:  J Neurosci       Date:  2014-08-06       Impact factor: 6.167

2.  Simple spike dynamics of Purkinje cells in the macaque vestibulo-cerebellum during passive whole-body self-motion.

Authors:  Jean Laurens; Dora E Angelaki
Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-27       Impact factor: 11.205

Review 3.  The Errors of Our Ways: Understanding Error Representations in Cerebellar-Dependent Motor Learning.

Authors:  Laurentiu S Popa; Martha L Streng; Angela L Hewitt; Timothy J Ebner
Journal:  Cerebellum       Date:  2016-04       Impact factor: 3.847

4.  Distinct responses of Purkinje neurons and roles of simple spikes during associative motor learning in larval zebrafish.

Authors:  Thomas C Harmon; Uri Magaram; David L McLean; Indira M Raman
Journal:  Elife       Date:  2017-05-25       Impact factor: 8.140

5.  A cerebellar adaptation to uncertain inputs.

Authors:  Andrei Khilkevich; Jose Canton-Josh; Evan DeLord; Michael D Mauk
Journal:  Sci Adv       Date:  2018-05-30       Impact factor: 14.136

Review 6.  The Emerging Concept of Intrinsic Plasticity: Activity-dependent Modulation of Intrinsic Excitability in Cerebellar Purkinje Cells and Motor Learning.

Authors:  Hyun Geun Shim; Yong-Seok Lee; Sang Jeong Kim
Journal:  Exp Neurobiol       Date:  2018-06-30       Impact factor: 3.261

7.  Passive Motor Learning: Oculomotor Adaptation in the Absence of Behavioral Errors.

Authors:  Matan Cain; Yehudit Botschko; Mati Joshua
Journal:  eNeuro       Date:  2021-03-22

8.  The Roles of the Olivocerebellar Pathway in Motor Learning and Motor Control. A Consensus Paper.

Authors:  Eric J Lang; Richard Apps; Fredrik Bengtsson; Nadia L Cerminara; Chris I De Zeeuw; Timothy J Ebner; Detlef H Heck; Dieter Jaeger; Henrik Jörntell; Mitsuo Kawato; Thomas S Otis; Ozgecan Ozyildirim; Laurentiu S Popa; Alexander M B Reeves; Nicolas Schweighofer; Izumi Sugihara; Jianqiang Xiao
Journal:  Cerebellum       Date:  2017-02       Impact factor: 3.847

9.  Cerebellar climbing fibers encode expected reward size.

Authors:  Noga Larry; Merav Yarkoni; Adi Lixenberg; Mati Joshua
Journal:  Elife       Date:  2019-10-29       Impact factor: 8.140

  9 in total

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