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Building the Cerebellum in a Computer

  • Conference paper
Artificial Neural Networks: Biological Inspirations – ICANN 2005 (ICANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3696))

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Abstract

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 integrate-and-.re 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.

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Author information

Authors and Affiliations

  1. Laboratory for Visual Neurocomputing, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan

    Tadashi Yamazaki & Shigeru Tanaka

Authors
  1. Tadashi Yamazaki
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  2. Shigeru Tanaka
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Editor information

Editors and Affiliations

  1. Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

    Włodzisław Duch

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01–447, Warsaw, Poland

    Janusz Kacprzyk

  3. Adaptive Informatics Research Centre, Helsinki University of Technology, P.O. Box 5400, 02015 HUT, Finland

    Erkki Oja

  4. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Sławomir Zadrożny

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© 2005 Springer-Verlag Berlin Heidelberg

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Yamazaki, T., Tanaka, S. (2005). Building the Cerebellum in a Computer. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_12

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  • DOI: https://doi.org/10.1007/11550822_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28752-0

  • Online ISBN: 978-3-540-28754-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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