• DocumentCode
    3301730
  • Title

    Inverse dynamics model in the cerebellum

  • Author

    Kawato, Mitsuo

  • Author_Institution
    ATR Human Inf. Process. Res. Lab., Kyoto, Japan
  • Volume
    2
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    1329
  • Abstract
    Although the input and output, and the functional roles of different regions of the cerebellum are vastly different, the neural circuit in the cerebellar cortex is rather uniform. Given this histological uniformity, Kawato and Gomi (1992) proposed a coherent model of cerebellar motor learning based on the feedback-error-learning scheme. In that model, we hypothesized that the cerebellum acquires internal models of controlled objects such as inverse dynamics model. Shidara, Kawano, Gomi and Kawato (1992,1993) reconstructed temporal firing pattern of Purkinje-cells of the ventral paraflocculus using inverse-dynamics representation based on ocular following responses in monkeys. This experimental data supports our computational model. Similar reconstruction of messy fiber firing patterns disproves local representation models for messy fiber inputs to Purkinje cells. Finally, adaptive significance of low firing frequency of climbing fibers is discussed.
  • Keywords
    brain models; dynamics; feedback; inverse problems; learning (artificial intelligence); neural nets; neurophysiology; Purkinje-cells; cerebellar cortex; cerebellum; climbing fibers; feedback-error-learning scheme; histological uniformity; internal models; inverse dynamics model; local representation models; low firing frequency; messy fiber firing patterns; neural circuit; ocular following responses; temporal firing pattern; ventral paraflocculus; Adaptive control; Brain modeling; Central nervous system; Error correction; Feedback loop; Hardware; Inverse problems; Optical fiber sensors; PD control; Proportional control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.716790
  • Filename
    716790