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A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

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Internal models in the cerebellum.

D M Wolpert¹, R C Miall, M Kawato

¹Sobell Department of Neurophysiology, Institute of Neurology, University College London, Queen Square, London, UK WC1N 3BG.

Trends in Cognitive Sciences

|January 14, 2011

Summary

This summary is machine-generated.

The cerebellum may contain internal models for motor control. These models, including inverse and forward types, are crucial for generating neural commands and predicting action consequences, aiding motor learning.

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Area of Science:

Neuroscience
Motor Control
Computational Neuroscience

Background:

The cerebellum's role in motor control is extensively studied.
Internal models are hypothesized to exist within the cerebellum.
These models could explain complex motor behaviors.

Purpose of the Study:

To review evidence for internal models within the cerebellum.
To explore the functions of inverse and forward internal models.
To present a computational model integrating these models for motor learning.

Main Methods:

Literature review of cerebellar function and internal models.
Analysis of evidence from ocular following responses.
Examination of computational models of motor control.

Main Results:

Evidence suggests inverse internal models in the cerebellum generate motor commands.
Forward internal models in the cerebellum predict action outcomes, mitigating feedback delays.
A computational model with paired forward-inverse models demonstrates benefits for motor learning.

Conclusions:

The cerebellum likely houses internal models essential for motor control.
Paired forward and inverse models offer a framework for understanding cerebellar motor learning and adaptation.