• DocumentCode
    2623035
  • Title

    Model of four regions of the cerebellum

  • Author

    Kawato, M. ; Gomi, H.

  • Author_Institution
    ATR Auditory & Visual Perception Res. Lab., Kyogo, Japan
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    410
  • Abstract
    The authors propose computationally coherent models of the four regions of the cerebellum based on the feedback-error-learning scheme. They assume that climbing fiber responses represent efference copy of motor commands generated by premotor networks such as feedback controllers at the spinal, brain stem, and cerebral levels. Based on the long-term depression in Purkinje cells, which tends to decrease the premotor-network activity, different regions of the cerebellum learn to execute predictive and coordinative control of different types of movements and complement crude control by the premotor networks
  • Keywords
    brain models; neural nets; neurophysiology; Purkinje cells; brain model; cerebellum; climbing fiber responses; feedback-error-learning scheme; motor commands; neural nets; neurophysiology; premotor networks; Biological neural networks; Brain modeling; Circuits; Computational modeling; Indium tin oxide; Inverse problems; Laboratories; Nonlinear dynamical systems; Supervised learning; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170436
  • Filename
    170436