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Complex Symptomatology Simulated By Unstructured Neural Nets

Published online by Cambridge University Press:  18 September 2015

R.A. Cyrulnik ,
P.A. Anninos  and
R. Marsh
R.A. Cyrulnik
Affiliation:
Department of Anatomy and Biomathematics School of Medicine and The Mental Retardation Program, Neuropsychiatric Institute, University of California, Los Angeles, California 90024
P.A. Anninos*
Affiliation:
Department of Anatomy and Biomathematics School of Medicine and The Mental Retardation Program, Neuropsychiatric Institute, University of California, Los Angeles, California 90024
R. Marsh
Affiliation:
Department of Anatomy and Biomathematics School of Medicine and The Mental Retardation Program, Neuropsychiatric Institute, University of California, Los Angeles, California 90024
*
Dept. of Physics, Dawson College, 350 Selby St., West-mount, P.Q, Canada
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Summary

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A neural net model with random interconnections is shown capable of exhibiting the features of Parkinson’s disease, including cogwheel rigidity, resting tremor, and dysdiadochokinesis. These properties are simulated uniquely for extrapyramidal disease, with spasticity and hypereflexia predicted for other upper motoneuron lesions.

Type
Research Article
Information
Canadian Journal of Neurological Sciences , Volume 1 , Issue 1 , February 1974 , pp. 17 - 22
Copyright
Copyright © Canadian Neurological Sciences Federation 1974

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