Biological Cybernetics

, Volume 68, Issue 2, pp 95–103 | Cite as

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

  • Mitsuo Kawato
  • Hiroaki Gomi


We propose a computationally coherent model of cerebellar motor learning based on the feedback-error-learning scheme. We assume that climbing fiber responses represent motor-command errors generated by some of the premotor networks such as the feedback controllers at the spinal-, brain stem- and cerebral levels. Thus, in our model, climbing fiber responses are considered to convey motor errors in the motor-command coordinates rather than in the sensory coordinates. Based on the long-term depression in Purkinje cells each corticonuclear microcomplex in different regions of the cerebellum learns to execute predictive and coordinative control of different types of movements. Ultimately, it acquires an inverse model of a specific controlled object and complements crude control by the premotor networks. This general model is developed in detail as a specific neural circuit model for the lateral hemisphere. A new experiment is suggested to elucidate the coordinate frame in which climbing fiber responses are represented.


Purkinje Cell Motor Learning Coordinate Frame Control Object Feedback Controller 
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.


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Copyright information

© Springer-Verlag 1992

Authors and Affiliations

  • Mitsuo Kawato
    • 1
    • 2
  • Hiroaki Gomi
    • 1
  1. 1.ATR Human Information Processing Research LaboratoriesKyotoJapan
  2. 2.Research Institute for Electronic Science, Hokkaido UniversityHokkaidoJapan

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