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A Digital Neural Model of Visual Deficits in Parkinson’s Disease

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Book cover Computational Methods in Neural Modeling (IWANN 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2686))

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Abstract

Visual deficits have been discovered in sufferers of Parkinson’ disease [1] and the cause of this is not clearly understood. This paper reports on a digital neuromodel that investigates a hypothesis that the deficit may be due to a projection from the Basal Ganglia to the Superior Colliculus where a shortage of Dopamine introduces noise in the oculo-motor loop. New experiments were done with Parkinson’s patients to track the deficit and the neuromodel predicts performance against oculo-motor noise. It is seen that a group Parkinson’s sufferers in whom the deficit is pronounced follow the predicted law, while controls with poor performance do not follow the law. This helps to uphold the noise hypothesis.

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© 2003 Springer-Verlag Berlin Heidelberg

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Aleksander, I., Morton, H. (2003). A Digital Neural Model of Visual Deficits in Parkinson’s Disease. In: Mira, J., Álvarez, J.R. (eds) Computational Methods in Neural Modeling. IWANN 2003. Lecture Notes in Computer Science, vol 2686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44868-3_12

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  • DOI: https://doi.org/10.1007/3-540-44868-3_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40210-7

  • Online ISBN: 978-3-540-44868-6

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