Biomedical Engineering Reference
In-Depth Information
adaptive control of saccadic gain, once again with the inferior olive as an error
detector (64,65).
Summarizing, modern adaptive models and their simulation are based on
different approaches with respect to the different assumed functions of the cere-
bellum. Successful simulations are presented using different kinds of olivary
error handling as a common denominator and providing results that are in good
agreement with behavioral data.
4.
RELEVANCE FOR PATIENTS AND THERAPY
Adaptation and the general aspects of motor learning in complex nervous
systems, as in humans, are important aspects of currently applied physiotherapy.
However, since an understanding of the physiology, and particularly of the
pathophysiological basics, of, say, ataxia, is still very limited, so that adequate
pathology-related therapy is unfortunately restricted. Results using different
experimental approaches and concepts derived from theoretical considerations
support the importance of processing error signals in complex systems. There is
good evidence that the olivo-cerebellar system is critically involved in both, in
online corrections, and in longer-lasting learning processes. Understanding these
complex processes will hopefully help to overcome the current limitations in
physiotherapy.
5.
ACKNOWLEDGMENTS
We would like to thank Dr. J. Davis for helpful and critical comments. This
work was supported by grants from Wilhelm Sander-Stiftung (94.090.1-3) and
from the Deutsche Forschungsgemeinschaft (DFG Ko 903/1-1; DFG Ti 239/2-
1,2,3).
6.
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Amarenco P, Hauw JJ, Caplan LR. 1993. Cerebellar infarctions. In Handbook of cerebellar
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Arbib MA, Schweighofer N, Thach WT. 1995. Modeling of the cerebellum: from adaptation to
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Barlow JS. 2002. The cerebellum and adaptive control . Cambridge UP, Cambridge.
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