Cerebellum Models: an Interpretation of Some Features

  • G. Chauvet
Conference paper
Part of the NATO ASI Series book series (volume 20)


Many authors have studied the functional capacity of cerebellar cortex and its implications on the organismic behaviour. A basic observation is the extremely regular organization of cells in the cortex with their repartition within two layers and the possible functional unity around Purkinje cell. The first theoretical model following Eccles’s experimental works [1] was D. Marr’s one [2]. Indeed Marr used a possible synaptic modification between Purkinje cell and parallel fibres as fundamental hypothesis, but also numerous imaginative suppositions which permit him to conceive a functional and qualitative model. The regular geometry and possible analogies with electronic devices and computation organs induce simple ideas on the functionning of a cerebellar cortex unit. After Marr, J.S. Albus [3] created a quantitative model of cerebellar cortex based on similar properties — but only three — so it was a computer approach rather than a physiological explanation of cerebellar function. That is the reason why he called his model the CMAC or Cerebellum Model Arithmetic Computer. More recent models have been considered by S. Grossberg [4] and J.C.C. Boylls [5].


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1-.
    ECCLES J.C., ITO M., SZENTAGOTHAI J., The cerebellum as a neuronal machine, Springer, New-York (1967)Google Scholar
  2. 2-.
    MARR D., A theory of cerebellar cortex, J. Physiol. 202 (1969)Google Scholar
  3. 3-.
    ALBUS J.S., A theory of cerebellar function, Math. Biosci., 10, 25 (1971)CrossRefGoogle Scholar
  4. 4-.
    GROSSBERG S., Cerebellar and retinal analogs of cells fixed by learnable and unlearned pattern classes, Kybernetik, 10, 49 (1972)CrossRefzbMATHGoogle Scholar
  5. 5-.
    BOYLLS J.C., A theory of cerebellar function with applications to locomotion. I. the physiological role of climbing fiber inputs in anterior lobe operation, technical report 75c-6, computer and information Science dept, Univ. of Massachusetts at Amherst (1975)Google Scholar
  6. 6-.
    ECCLES J.C., in cerebro-cerebellar interactions, J. Massion and K. Sasaki Eds, Elsevier, Amsterdam, p. 6 (1979)Google Scholar
  7. 7-.
    ITO M., Mechanisms of motor learning, p. 418, in Lecture Note in Bioma-thematics, Vol. 44, Springer (1982)Google Scholar
  8. 8-.
    CHAUVET G., Un modèle de la plasticité synaptigue dans la régulation du comportement in Régulations physiologigues: Quelgues modèles récents Masson Ed. (1985)Google Scholar
  9. 9-.
    UTTLEY A.M., Information transmission in the nervous system, Acad. Press New-York (1979).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • G. Chauvet
    • 1
  1. 1.Laboratoire de Biologie Mathématique U.E.R. des Sciences Médicales et PharmaceutiquesUniversité d’ANGERSFrance

Personalised recommendations