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

This review surveys physiological, behavioral, and morphological evidence converging to the view of the cerebro-cerebellum as loci of internal forward models. The cerebro-cerebellum, the phylogenetically newest expansion in the cerebellum, receives convergent inputs from cortical, subcortical, and s...

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Main Authors: Hirokazu Tanaka, Takahiro Ishikawa, Jongho Lee, Shinji Kakei
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Systems Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnsys.2020.00019/full
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author Hirokazu Tanaka
Takahiro Ishikawa
Jongho Lee
Shinji Kakei
author_facet Hirokazu Tanaka
Takahiro Ishikawa
Jongho Lee
Shinji Kakei
author_sort Hirokazu Tanaka
collection DOAJ
description This review surveys physiological, behavioral, and morphological evidence converging to the view of the cerebro-cerebellum as loci of internal forward models. The cerebro-cerebellum, the phylogenetically newest expansion in the cerebellum, receives convergent inputs from cortical, subcortical, and spinal sources, and is thought to perform the predictive computation for both motor control, motor learning, and cognitive functions. This predictive computation is known as an internal forward model. First, we elucidate the theoretical foundations of an internal forward model and its role in motor control and motor learning within the framework of the optimal feedback control model. Then, we discuss a neural mechanism that generates various patterns of outputs from the cerebro-cerebellum. Three lines of supporting evidence for the internal-forward-model hypothesis are presented in detail. First, we provide physiological evidence that the cerebellar outputs (activities of dentate nucleus cells) are predictive for the cerebellar inputs [activities of mossy fibers (MFs)]. Second, we provide behavioral evidence that a component of movement kinematics is predictive for target motion in control subjects but lags behind a target motion in patients with cerebellar ataxia. Third, we provide morphological evidence that the cerebellar cortex and the dentate nucleus receive separate MF projections, a prerequisite for optimal estimation. Finally, we speculate that the predictive computation in the cerebro-cerebellum could be deployed to not only motor control but also to non-motor, cognitive functions. This review concludes that the predictive computation of the internal forward model is the unifying algorithmic principle for understanding diverse functions played by the cerebro-cerebellum.
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spelling doaj.art-8e03af63a98b4f00816e3359a76258112022-12-22T03:04:25ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372020-04-011410.3389/fnsys.2020.00019511301The Cerebro-Cerebellum as a Locus of Forward Model: A ReviewHirokazu Tanaka0Takahiro Ishikawa1Jongho Lee2Shinji Kakei3Japan Advanced Institute of Science and Technology, Nomi, JapanTokyo Metropolitan Institute of Medical Science, Tokyo, JapanKomatsu University, Komatsu, JapanTokyo Metropolitan Institute of Medical Science, Tokyo, JapanThis review surveys physiological, behavioral, and morphological evidence converging to the view of the cerebro-cerebellum as loci of internal forward models. The cerebro-cerebellum, the phylogenetically newest expansion in the cerebellum, receives convergent inputs from cortical, subcortical, and spinal sources, and is thought to perform the predictive computation for both motor control, motor learning, and cognitive functions. This predictive computation is known as an internal forward model. First, we elucidate the theoretical foundations of an internal forward model and its role in motor control and motor learning within the framework of the optimal feedback control model. Then, we discuss a neural mechanism that generates various patterns of outputs from the cerebro-cerebellum. Three lines of supporting evidence for the internal-forward-model hypothesis are presented in detail. First, we provide physiological evidence that the cerebellar outputs (activities of dentate nucleus cells) are predictive for the cerebellar inputs [activities of mossy fibers (MFs)]. Second, we provide behavioral evidence that a component of movement kinematics is predictive for target motion in control subjects but lags behind a target motion in patients with cerebellar ataxia. Third, we provide morphological evidence that the cerebellar cortex and the dentate nucleus receive separate MF projections, a prerequisite for optimal estimation. Finally, we speculate that the predictive computation in the cerebro-cerebellum could be deployed to not only motor control but also to non-motor, cognitive functions. This review concludes that the predictive computation of the internal forward model is the unifying algorithmic principle for understanding diverse functions played by the cerebro-cerebellum.https://www.frontiersin.org/article/10.3389/fnsys.2020.00019/fullcerebral cortexcerebellar circuitryforward modelmotor functionhigher brain functionneural networks
spellingShingle Hirokazu Tanaka
Takahiro Ishikawa
Jongho Lee
Shinji Kakei
The Cerebro-Cerebellum as a Locus of Forward Model: A Review
Frontiers in Systems Neuroscience
cerebral cortex
cerebellar circuitry
forward model
motor function
higher brain function
neural networks
title The Cerebro-Cerebellum as a Locus of Forward Model: A Review
title_full The Cerebro-Cerebellum as a Locus of Forward Model: A Review
title_fullStr The Cerebro-Cerebellum as a Locus of Forward Model: A Review
title_full_unstemmed The Cerebro-Cerebellum as a Locus of Forward Model: A Review
title_short The Cerebro-Cerebellum as a Locus of Forward Model: A Review
title_sort cerebro cerebellum as a locus of forward model a review
topic cerebral cortex
cerebellar circuitry
forward model
motor function
higher brain function
neural networks
url https://www.frontiersin.org/article/10.3389/fnsys.2020.00019/full
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