Literature DB >> 21900551

Acquisition of neural learning in cerebellum and cerebral cortex for smooth pursuit eye movements.

Jennifer X Li1, Javier F Medina, Loren M Frank, Stephen G Lisberger.   

Abstract

We evaluated the emergence of neural learning in the frontal eye fields (FEF(SEM)) and the floccular complex of the cerebellum while monkeys learned a precisely timed change in the direction of pursuit eye movement. For each neuron, we measured the time course of changes in neural response across a learning session that comprised at least 100 repetitions of an instructive change in target direction. In both areas, the average population learning curves tracked the behavioral changes with high fidelity, consistent with possible roles in driving learning. However, the learning curves of individual neurons sometimes bore little relation to the smooth, monotonic progression of behavioral learning. In the FEF(SEM), neural learning was episodic. For individual neurons, learning appeared at different times during the learning session and sometimes disappeared by the end of the session. Different FEF(SEM) neurons expressed maximal learning at different times relative to the acquisition of behavioral learning. In the floccular complex, many Purkinje cells acquired learned simple-spike responses according to the same time course as behavioral learning and retained their learned responses throughout the learning session. A minority of Purkinje cells acquired learned responses late in the learning session, after behavioral learning had reached an asymptote. We conclude that learning in single neurons can follow a very different time course from behavioral learning. Both the FEF(SEM) and the floccular complex contain representations of multiple temporal components of learning, with different neurons contributing to learning at different times during the acquisition of a learned movement.

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Mesh:

Year:  2011        PMID: 21900551      PMCID: PMC3184018          DOI: 10.1523/JNEUROSCI.2515-11.2011

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


  55 in total

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4.  A mechanism for savings in the cerebellum.

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9.  The representation of time for motor learning.

Authors:  Javier F Medina; Megan R Carey; Stephen G Lisberger
Journal:  Neuron       Date:  2005-01-06       Impact factor: 17.173

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Authors:  Seiji Ono; Michael J Mustari
Journal:  Cereb Cortex       Date:  2008-09-26       Impact factor: 5.357

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  6 in total

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Review 3.  Translational approach to behavioral learning: lessons from cerebellar plasticity.

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

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Journal:  eNeuro       Date:  2021-03-22

5.  Adaptive control of movement deceleration during saccades.

Authors:  Simon P Orozco; Scott T Albert; Reza Shadmehr
Journal:  PLoS Comput Biol       Date:  2021-07-06       Impact factor: 4.779

6.  A cerebellar mechanism for learning prior distributions of time intervals.

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Journal:  Nat Commun       Date:  2018-02-01       Impact factor: 14.919

  6 in total

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