Literature DB >> 26112422

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

Laurentiu S Popa1, Martha L Streng1, Angela L Hewitt1, Timothy J Ebner2.   

Abstract

The cerebellum is essential for error-driven motor learning and is strongly implicated in detecting and correcting for motor errors. Therefore, elucidating how motor errors are represented in the cerebellum is essential in understanding cerebellar function, in general, and its role in motor learning, in particular. This review examines how motor errors are encoded in the cerebellar cortex in the context of a forward internal model that generates predictions about the upcoming movement and drives learning and adaptation. In this framework, sensory prediction errors, defined as the discrepancy between the predicted consequences of motor commands and the sensory feedback, are crucial for both on-line movement control and motor learning. While many studies support the dominant view that motor errors are encoded in the complex spike discharge of Purkinje cells, others have failed to relate complex spike activity with errors. Given these limitations, we review recent findings in the monkey showing that complex spike modulation is not necessarily required for motor learning or for simple spike adaptation. Also, new results demonstrate that the simple spike discharge provides continuous error signals that both lead and lag the actual movements in time, suggesting errors are encoded as both an internal prediction of motor commands and the actual sensory feedback. These dual error representations have opposing effects on simple spike discharge, consistent with the signals needed to generate sensory prediction errors used to update a forward internal model.

Entities:  

Keywords:  Cerebellum; Complex spikes; Internal model; Motor learning; Purkinje cells; Simple spikes

Mesh:

Year:  2016        PMID: 26112422      PMCID: PMC4691440          DOI: 10.1007/s12311-015-0685-5

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  150 in total

1.  Independent learning of internal models for kinematic and dynamic control of reaching.

Authors:  J W Krakauer; M F Ghilardi; C Ghez
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

Review 2.  Internal models for motor control and trajectory planning.

Authors:  M Kawato
Journal:  Curr Opin Neurobiol       Date:  1999-12       Impact factor: 6.627

3.  Cerebellar contributions to locomotor adaptations during splitbelt treadmill walking.

Authors:  Susanne M Morton; Amy J Bastian
Journal:  J Neurosci       Date:  2006-09-06       Impact factor: 6.167

4.  Cerebellum predicts the future motor state.

Authors:  Timothy J Ebner; Siavash Pasalar
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

5.  Purkinje cell activity during motor learning.

Authors:  P F Gilbert; W T Thach
Journal:  Brain Res       Date:  1977-06-10       Impact factor: 3.252

Review 6.  Visuomotor adaptation and proprioceptive recalibration.

Authors:  Denise Y P Henriques; Erin K Cressman
Journal:  J Mot Behav       Date:  2012       Impact factor: 1.328

7.  Cerebellar participation in generation of prompt arm movements.

Authors:  J Meyer-Lohmann; J Hore; V B Brooks
Journal:  J Neurophysiol       Date:  1977-09       Impact factor: 2.714

Review 8.  The role of strategies in motor learning.

Authors:  Jordan A Taylor; Richard B Ivry
Journal:  Ann N Y Acad Sci       Date:  2012-02-13       Impact factor: 5.691

9.  Simple and complex spike activity of cerebellar Purkinje cells during active and passive movements in the awake monkey.

Authors:  E Bauswein; F P Kolb; B Leimbeck; F J Rubia
Journal:  J Physiol       Date:  1983-06       Impact factor: 5.182

Review 10.  The cerebellum for jocks and nerds alike.

Authors:  Laurentiu S Popa; Angela L Hewitt; Timothy J Ebner
Journal:  Front Syst Neurosci       Date:  2014-06-17
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  28 in total

1.  Why New Spinal Cord Plasticity Does Not Disrupt Old Motor Behaviors.

Authors:  Yi Chen; Lu Chen; Yu Wang; Xiang Yang Chen; Jonathan R Wolpaw
Journal:  J Neurosci       Date:  2017-07-25       Impact factor: 6.167

2.  Neural Correlates of Reinforcement Learning in Mid-lateral Cerebellum.

Authors:  Naveen Sendhilnathan; Mulugeta Semework; Michael E Goldberg; Anna E Ipata
Journal:  Neuron       Date:  2020-01-27       Impact factor: 17.173

3.  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

4.  Climbing Fibers Control Purkinje Cell Representations of Behavior.

Authors:  Martha L Streng; Laurentiu S Popa; Timothy J Ebner
Journal:  J Neurosci       Date:  2017-01-11       Impact factor: 6.167

Review 5.  Purkinje Cell Representations of Behavior: Diary of a Busy Neuron.

Authors:  Laurentiu S Popa; Martha L Streng; Timothy J Ebner
Journal:  Neuroscientist       Date:  2018-07-09       Impact factor: 7.519

Review 6.  Computational Principles of Supervised Learning in the Cerebellum.

Authors:  Jennifer L Raymond; Javier F Medina
Journal:  Annu Rev Neurosci       Date:  2018-07-08       Impact factor: 12.449

Review 7.  Cerebellar contributions to motor control and language comprehension: searching for common computational principles.

Authors:  Torgeir Moberget; Richard B Ivry
Journal:  Ann N Y Acad Sci       Date:  2016-04       Impact factor: 5.691

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.  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

10.  Principles of operation of a cerebellar learning circuit.

Authors:  David J Herzfeld; Nathan J Hall; Marios Tringides; Stephen G Lisberger
Journal:  Elife       Date:  2020-04-30       Impact factor: 8.140

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