Literature DB >> 35471627

Cerebellar Representations of Errors and Internal Models.

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

Abstract

After decades of study, a comprehensive understanding of cerebellar function remains elusive. Several hypotheses have been put forward over the years, including that the cerebellum functions as a forward internal model. Integrated into the forward model framework is the long-standing view that Purkinje cell complex spike discharge encodes error information. In this brief review, we address both of these concepts based on our recordings of cerebellar Purkinje cells over the last decade as well as newer findings from the literature. During a high-dimensionality tracking task requiring continuous error processing, we find that complex spike discharge provides a rich source of non-error signals to Purkinje cells, indicating that the classical error encoding role ascribed to climbing fiber input needs revision. Instead, the simple spike discharge of Purkinje cells carries robust predictive and feedback signals of performance errors, as well as kinematics. These simple spike signals are consistent with a forward internal model. We also show that the information encoded in the simple spike is dynamically adjusted by the complex spike firing. Synthesis of these observations leads to the hypothesis that complex spikes convey behavioral state changes, possibly acting to select and maintain forward models.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Complex spike; Forward internal model; Kinematics; Performance error; Prediction error; Purkinje cell; Simple spike

Mesh:

Year:  2022        PMID: 35471627      PMCID: PMC9420826          DOI: 10.1007/s12311-022-01406-3

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.648


  54 in total

Review 1.  Computational principles of movement neuroscience.

Authors:  D M Wolpert; Z Ghahramani
Journal:  Nat Neurosci       Date:  2000-11       Impact factor: 24.884

Review 2.  Diversity of neuronal elements and circuitry in the cerebellar nuclei.

Authors:  Marylka Yoe Uusisaari; Thomas Knöpfel
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

3.  Simple spike firing in the posterior lateral cerebellar cortex of Macaque Mulatta was correlated with success-failure during a visually guided reaching task.

Authors:  Bradley Greger; Scott Norris
Journal:  Exp Brain Res       Date:  2005-11-12       Impact factor: 1.972

4.  Cerebellar Prediction of the Dynamic Sensory Consequences of Gravity.

Authors:  Isabelle Mackrous; Jerome Carriot; Mohsen Jamali; Kathleen E Cullen
Journal:  Curr Biol       Date:  2019-08-01       Impact factor: 10.834

Review 5.  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

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

Authors:  Laurentiu S Popa; Angela L Hewitt; Timothy J Ebner
Journal:  J Neurosci       Date:  2012-10-31       Impact factor: 6.167

Review 7.  Complex Spike Wars: a New Hope.

Authors:  Martha L Streng; Laurentiu S Popa; Timothy J Ebner
Journal:  Cerebellum       Date:  2018-12       Impact factor: 3.847

8.  The Cerebro-Cerebellum as a Locus of Forward Model: A Review.

Authors:  Hirokazu Tanaka; Takahiro Ishikawa; Jongho Lee; Shinji Kakei
Journal:  Front Syst Neurosci       Date:  2020-04-09

9.  Evolving Models of Pavlovian Conditioning: Cerebellar Cortical Dynamics in Awake Behaving Mice.

Authors:  Michiel M ten Brinke; Henk-Jan Boele; Jochen K Spanke; Jan-Willem Potters; Katja Kornysheva; Peer Wulff; Anna C H G IJpelaar; Sebastiaan K E Koekkoek; Chris I De Zeeuw
Journal:  Cell Rep       Date:  2015-11-19       Impact factor: 9.423

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