Biological Cybernetics

, Volume 75, Issue 1, pp 29–36 | Cite as

A model of the cerebellum in adaptive control of saccadic gain

II. Simulation results
  • Nicolas Schweighofer
  • Michael A. Arbib
  • Peter F. Dominey
Original Papers
Received:
Accepted:

Abstract

A large, realistic cerebellar neural network has been incorporated into a previously developed saccade model. Using this model, in the present paper, we simulate the complex spatiotemporal behavior of the neuronal subpopulations implicated in adaptive saccadic control. Our simulation results are in good agreement with neurophysiological and behavioral data. Furthermore, we suggest several new experiments to test the validity of our predictions on adaptive saccadic control.

Keywords

Neural Network Adaptive Control Behavioral Data Neuronal Subpopulation Spatiotemporal Behavior 
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.
This is a preview of subscription content, log in to check access.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bartha G (1993) A computer model of oculomotor and neural contributions to conditioned blink timing. PhD thesis, University of Southern CaliforniaGoogle Scholar
  2. Dominey (1993) Models of spatial accuracy and conditional behavior in oculomotor control. PhD thesis, University of Southern CaliforniaGoogle Scholar
  3. Dominey P, Arbib M (1992) A cortico-subcortical model for generation of spatially accurate sequential saccades. Cerebral Cortex 2:153–175Google Scholar
  4. Fuchs AF, Robinson FR, Straube A (1993) Role of the fastigial nucleus in saccade generation: neuronal discharge patterns. J Neurophysiol 70:1723–1740Google Scholar
  5. Gilbert P, Thach WT (1977) Purkinje cell activity during motor learning. Brain Res 128:309–328Google Scholar
  6. Goldberg ME, Musils S, Fitzgibbon E, Smith M, Olson C (1993) The role of the cerebellum in the control of saccadic eye movements. In: Mano N, Hamada I, Delong MR (eds) The role of the cerebellum and basal ganglia in voluntary movement. Excerpta Medica, Amsterdam, pp 203–211Google Scholar
  7. Houk JC, Galiana HL, Guitton D (1992) Cooperative control of gaze by the superior colliculus, brainstem and cerebellum. In: Stelmach GE, Requin J (eds) Tutorials in motor behavior II. Elsevier, AmsterdamGoogle Scholar
  8. Kase M, Miller DC, Noda H (1980) Discharges of Purkinje cells and mossy fibers in the cerebellar vermis of the monkey during saccadic eye movements and fixation. J Physiol (Lond) 300:539–555Google Scholar
  9. Lewis RF, Zee DS (1993) Oculomotor disorders associated with cerebellar lesions: pathophysiology and topical localization. Rev Neurol (Paris) 149:665–677Google Scholar
  10. McElligot JG, Keller EL (1982) Neuronal discharge in the posterior cerebellum: its relationship to saccadic eye movement generation. In: Lennerstrand G, Zee DS (eds) Functional basis of ocular mobility disorders. Pergamon Press, OxfordGoogle Scholar
  11. Ohtsuka K, Noda H (1990) Direction-selective saccadic-burst neurons in the fastigial oculomotor region of the macaque. Exp Brain Res 81:659–662Google Scholar
  12. Schweighofer N, Arbib MA, Dominey PF (1996) A model of the cerebellum in adaptive control of saccadic gain. I. The model and its biological substrate. Biol Cybern 75:19–28Google Scholar
  13. Weitzenfeld A (1991) NSL Neural Simulation Language, version 2.1. Technical report 91-02, Center for Neural Engineering, University of Southern CaliforniaGoogle Scholar

Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • Nicolas Schweighofer
    • 1
    • 2
  • Michael A. Arbib
    • 1
  • Peter F. Dominey
    • 3
  1. 1.Center for Neural Engineering, University of Southern CaliforniaLos AngelesUSA
  2. 2.ATR Human Information Processing Research LaboratoriesKyotoJapan
  3. 3.INSERM Unit 94BronFrance

Personalised recommendations