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Complex Symptomatology Simulated By Unstructured Neural Nets
Published online by Cambridge University Press: 18 September 2015
Summary
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.
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- Research Article
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- Copyright © Canadian Neurological Sciences Federation 1974
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