Literature DB >> 23115173

Predictive and feedback performance errors are signaled in the simple spike discharge of individual Purkinje cells.

Laurentiu S Popa1, Angela L Hewitt, Timothy J Ebner.   

Abstract

The cerebellum has been implicated in processing motor errors required for on-line control of movement and motor learning. The dominant view is that Purkinje cell complex spike discharge signals motor errors. This study investigated whether errors are encoded in the simple spike discharge of Purkinje cells in monkeys trained to manually track a pseudorandomly moving target. Four task error signals were evaluated based on cursor movement relative to target movement. Linear regression analyses based on firing residuals ensured that the modulation with a specific error parameter was independent of the other error parameters and kinematics. The results demonstrate that simple spike firing in lobules IV-VI is significantly correlated with position, distance, and directional errors. Independent of the error signals, the same Purkinje cells encode kinematics. The strongest error modulation occurs at feedback timing. However, in 72% of cells at least one of the R(2) temporal profiles resulting from regressing firing with individual errors exhibit two peak R(2) values. For these bimodal profiles, the first peak is at a negative τ (lead) and a second peak at a positive τ (lag), implying that Purkinje cells encode both prediction and feedback about an error. For the majority of the bimodal profiles, the signs of the regression coefficients or preferred directions reverse at the times of the peaks. The sign reversal results in opposing simple spike modulation for the predictive and feedback components. Dual error representations may provide the signals needed to generate sensory prediction errors used to update a forward internal model.

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Year:  2012        PMID: 23115173      PMCID: PMC3509196          DOI: 10.1523/JNEUROSCI.2151-12.2012

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


  77 in total

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Journal:  J Neurophysiol       Date:  1998-08       Impact factor: 2.714

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Journal:  J Neurosci       Date:  2006-07-19       Impact factor: 6.709

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  48 in total

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3.  Changes in Purkinje cell simple spike encoding of reach kinematics during adaption to a mechanical perturbation.

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5.  Purkinje cell simple spike discharge encodes error signals consistent with a forward internal model.

Authors:  Laurentiu S Popa; Angela L Hewitt; Timothy J Ebner
Journal:  Cerebellum       Date:  2013-06       Impact factor: 3.847

Review 6.  Depressed by Learning-Heterogeneity of the Plasticity Rules at Parallel Fiber Synapses onto Purkinje Cells.

Authors:  Aparna Suvrathan; Jennifer L Raymond
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8.  Rubrocerebellar Feedback Loop Isolates the Interposed Nucleus as an Independent Processor of Corollary Discharge Information in Mice.

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9.  Population coding in the cerebellum: a machine learning perspective.

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Journal:  J Neurophysiol       Date:  2020-10-28       Impact factor: 2.714

10.  Abnormal excitability and episodic low-frequency oscillations in the cerebral cortex of the tottering mouse.

Authors:  Samuel W Cramer; Laurentiu S Popa; Russell E Carter; Gang Chen; Timothy J Ebner
Journal:  J Neurosci       Date:  2015-04-08       Impact factor: 6.167

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