Building the Cerebellum in a Computer

  • Tadashi Yamazaki
  • Shigeru Tanaka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3696)


We have built a realistic computational model of the cerebellum. This model simulates the cerebellar cortex of the size 0.5mm × 1mm consisting of several types of neurons, which are modeled as conductancebased leaky units with realistic values of parameters adopted from known anatomical and physiological data. We demonstrate that the recurrent inhibitory circuit composed of granule and Golgi cells can represent a time passage by population of active granule cells, which we call “the cerebellar internal clock”. We also demonstrate that our model can explain Pavlovian eyelid conditioning, in which the cerebellar internal clock plays an important role.


Purkinje Cell Granule Cell Cerebellar Nucleus Nucleus Neuron Internal Clock 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Mauk, M.D., Donegan, N.H.: A model of Pavlovian eyelid conditioning based on the synaptic organization of the cerebellum. Learning & Memory 3, 130–158 (1997)CrossRefGoogle Scholar
  2. 2.
    Yamazaki, T., Tanaka, S.: Neural modeling of an internal clock. Neural Computation 17, 1032–1058 (2005)zbMATHCrossRefGoogle Scholar
  3. 3.
    Ito, M.: Long-term depression. Ann. Rev. Neurosci. 12, 85–102 (1989)CrossRefGoogle Scholar
  4. 4.
    Ito, M.: The Cerebellum and Neuronal Control. Raven Press, New York (1984)Google Scholar
  5. 5.
    Gerstner, W., Kistler, W.M.: Spiking Neuron Models. Cambridge University Press, Cambridge (2002)zbMATHGoogle Scholar
  6. 6.
    Tsukahara, N., et al.: Properties of cerebello-precerebellar reverberating circuits. Brain Res. 274, 249–259 (1983)CrossRefGoogle Scholar
  7. 7.
    Berthier, N.E., Moore, J.W.: Cerebellar purkinje cell activity related to the classically conditioned nictitating membrane response. Exp. Brain Res. 63(2), 341–350 (1986)CrossRefGoogle Scholar
  8. 8.
    Medina, J.F., Mauk, M.D.: Computer simulation of cerebellar information processing. Nature Neurosci. 3, 1205–1211 (2000)CrossRefGoogle Scholar
  9. 9.
    Medina, J.F., et al.: Timing mechanisms in the cerebellum: Testing predictions of a large-scale computer simulation. J. Neurosci. 20(14), 5516–5525 (2000)MathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Tadashi Yamazaki
    • 1
  • Shigeru Tanaka
    • 1
  1. 1.Laboratory for Visual Neurocomputing, RIKEN Brain Science InstituteSaitamaJapan

Personalised recommendations