Literature DB >> 1486135

Adaptive feedback control models of the vestibulocerebellum and spinocerebellum.

H Gomi1, M Kawato.   

Abstract

We extend the cerebellar learning model proposed by Kawato and Gomi (1992) to the case where a specific region of the cerebellum executes adaptive feedback control as well as feedforward control. The model is still based on the feedback-error-learning scheme. The proposed adaptive feedback control model is developed in detail as a specific neural circuit model for three different regions of the cerebellum and the learning of the corresponding representative movements: (i) the flocculus and adaptive modification of the vestibulo-ocular reflex and optokinetic eye-movement responses, (ii) the vermis and adaptive posture control, and (iii) the intermediate zones of the hemisphere and adaptive control of locomotion. As a representative example, simultaneous adaptation of the vestibulo-ocular reflex and the optokinetic eye-movement response was successfully simulated while the Purkinje cells receive copies of motor commands through recurrent neural connections as well as vestibular and retinal-slip parallel-fiber inputs.

Mesh:

Year:  1992        PMID: 1486135     DOI: 10.1007/bf00201432

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  25 in total

Review 1.  Long-term depression.

Authors:  M Ito
Journal:  Annu Rev Neurosci       Date:  1989       Impact factor: 12.449

2.  A learning network model of the neural integrator of the oculomotor system.

Authors:  D B Arnold; D A Robinson
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

3.  Contribution of oculomotor signals to the behavior of rabbit floccular Purkinje cells during reflex eye movements.

Authors:  S Nagao
Journal:  Neurosci Res       Date:  1991-10       Impact factor: 3.304

4.  Visual responses of Purkinje cells in the cerebellar flocculus during smooth-pursuit eye movements in monkeys. I. Simple spikes.

Authors:  L S Stone; S G Lisberger
Journal:  J Neurophysiol       Date:  1990-05       Impact factor: 2.714

5.  Neurophysiological aspects of the cerebellar motor control system.

Authors:  M Ito
Journal:  Int J Neurol       Date:  1970

6.  The rubro-bulbospinal path. A descending system known to influence dynamic fusimotor neurones and its interaction with distal cutaneous afferents in the control of flexor reflex afferent pathways.

Authors:  T Jeneskog; H Johansson
Journal:  Exp Brain Res       Date:  1977-02-16       Impact factor: 1.972

7.  Simulation of adaptive modification of the vestibulo-ocular reflex with an adaptive filter model of the cerebellum.

Authors:  M Fujita
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

8.  Inferior olivary neurons in the awake cat: detection of contact and passive body displacement.

Authors:  R Gellman; A R Gibson; J C Houk
Journal:  J Neurophysiol       Date:  1985-07       Impact factor: 2.714

9.  Cerebellar control of locomotion: effects of cooling cerebellar intermediate cortex in high decerebrate and awake walking cats.

Authors:  M Udo; K Matsukawa; H Kamei; Y Oda
Journal:  J Neurophysiol       Date:  1980-07       Impact factor: 2.714

10.  A quantitative analysis of the spatial organization of the vestibulo-ocular reflexes in lateral- and frontal-eyed animals--I. Orientation of semicircular canals and extraocular muscles.

Authors:  K Ezure; W Graf
Journal:  Neuroscience       Date:  1984-05       Impact factor: 3.590

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  16 in total

1.  Decorrelation control by the cerebellum achieves oculomotor plant compensation in simulated vestibulo-ocular reflex.

Authors:  Paul Dean; John Porrill; James V Stone
Journal:  Proc Biol Sci       Date:  2002-09-22       Impact factor: 5.349

2.  Recurrent cerebellar architecture solves the motor-error problem.

Authors:  John Porrill; Paul Dean; James V Stone
Journal:  Proc Biol Sci       Date:  2004-04-22       Impact factor: 5.349

3.  A computational model of four regions of the cerebellum based on feedback-error learning.

Authors:  M Kawato; H Gomi
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

4.  Cerebellum as a forward but not inverse model in visuomotor adaptation task: a tDCS-based and modeling study.

Authors:  Fatemeh Yavari; Shirin Mahdavi; Farzad Towhidkhah; Mohammad-Ali Ahmadi-Pajouh; Hamed Ekhtiari; Mohammad Darainy
Journal:  Exp Brain Res       Date:  2015-12-26       Impact factor: 1.972

5.  Adaptive-filter models of the cerebellum: computational analysis.

Authors:  Paul Dean; John Porrill
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

6.  Learning combined feedback and feedforward control of a musculoskeletal system.

Authors:  S Stroeve
Journal:  Biol Cybern       Date:  1996-07       Impact factor: 2.086

7.  Cerebellar contributions to reach adaptation and learning sensory consequences of action.

Authors:  Jun Izawa; Sarah E Criscimagna-Hemminger; Reza Shadmehr
Journal:  J Neurosci       Date:  2012-03-21       Impact factor: 6.167

8.  Acceleration feedback improves balancing against reflex delay.

Authors:  Tamás Insperger; John Milton; Gábor Stépán
Journal:  J R Soc Interface       Date:  2013-02       Impact factor: 4.118

9.  Meta-analytic connectivity and behavioral parcellation of the human cerebellum.

Authors:  Michael C Riedel; Kimberly L Ray; Anthony S Dick; Matthew T Sutherland; Zachary Hernandez; P Mickle Fox; Simon B Eickhoff; Peter T Fox; Angela R Laird
Journal:  Neuroimage       Date:  2015-05-19       Impact factor: 6.556

10.  Multiple motor learning strategies in visuomotor rotation.

Authors:  Naoki Saijo; Hiroaki Gomi
Journal:  PLoS One       Date:  2010-02-24       Impact factor: 3.240

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