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
A computer model of intermediate cerebellum dynamic operations in motor control
β Scribed by Flora Licata; Vincenzo Perciavalle; Salvatore Sapienza; Antonio Urbano; Antonino Viscuso
- Publisher
- Springer-Verlag
- Year
- 1979
- Tongue
- English
- Weight
- 740 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0340-1200
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β¦ Synopsis
An intermediate cerebellum theoretical model for processing central programming discharges and muscle force signals is described which can perform a correct motor task under different peripheral perturbations (loads). An indispensable condition is that the simulated interpositus nucleus cells controlling a given effector (muscle) are inhibited by impulses coming from that effector (negative feedback from muscle force detectors). The hypothesis is proposed that the intermediate cerebellum can act via the rubrospinal tract as an interface between programming and executing motor structures.
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