Cerebellum and Internal Models

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A powerful conceptual framework for the generation of fast, coordinated movements is based on the central nervous system implementing internal models. Internal models provide representations of the input-output properties of the motor apparatus. There are two general classes of internal models. Forward models use the commands for an action and information about the present state to predict the consequences of that action. Inverse models transform a desired outcome or effector state into the necessary commands to achieve that state. It has been widely hypothesized that the cerebellum acquires and stores internal models. Initially formulated to explain the cerebellum’s role in motor control, the concept has been extended to include internal models for tool use and cognitive processes. In patients with cerebellar dysfunction, the deficits can be attributed to a failure of internal models to generate the appropriate model commands and/or to accurately estimate the consequences of motor commands. Functional imaging and noninvasive stimulation studies in normal subjects provide further support for this hypothesis. Electrophysiological investigations have also examined whether neurons in the cerebellar cortex have the requisite signals compatible with either an inverse or forward internal model. In monkeys the simple spike discharge of Purkinje cells does not encode the requisite motor command signals required to be the output of an inverse dynamics model. However, Purkinje cell firing has many of the characteristics of a forward internal model. Recent work suggests the uniform architecture of the cerebellum implements internal models for non-motor functions.

Original languageEnglish (US)
Title of host publicationHandbook of the Cerebellum and Cerebellar Disorders
Subtitle of host publicationSecond Edition: Volume 3
PublisherSpringer International Publishing
Pages1461-1486
Number of pages26
ISBN (Electronic)9783030238100
ISBN (Print)9783030238094
DOIs
StatePublished - Jan 1 2021

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2022.

Keywords

  • Cerebellar adaptation
  • Forward internal model
  • Inverse dynamics model
  • Nuclear neurons
  • Purkinje cell signals
  • Sensory prediction errors

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