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Numerical Analysis of Parkinson’s Disease in a Basal Ganglia Network Model

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Advances in Cognitive Neurodynamics (III)

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Abstract

The paper constructed a network of basal ganglia and considered the normal state, Parkinson Disease (PD) state and Deep Brain Stimulation (DBS) therapy in this basal ganglia (BG) model. The membrane potential of neurons in BG are obtained with the help of Winnerless Competition (WLC) model. The indexes of EI (Error Index) and phase plane are used in normal state, PD state and DBS therapy state respectively to show the validity of the DBS therapy. In the end, we add the receptor and effector to this network to discuss the neural network information processing of BG and explore what effect that different kinds of connectivity strength between the cortical neurons bring to the network information processing.

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Acknowledgments

This work is supported by the National Nature Science Foundation of China under Grant Nos. 10872069.

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Authors and Affiliations

  1. College of Automation Science and Engineering, South China University of Technology, Guangzhou, 510640, People’s Republic of China

    Xiaofeng Xie

  2. Department of Mathematics, South China University of Technology, Guangzhou, 510640, People’s Republic of China

    Shenquan Liu & Lei Wang

  3. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510640, People’s Republic of China

    Xuemiao Pan

Authors
  1. Xiaofeng Xie
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  2. Shenquan Liu
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  3. Xuemiao Pan
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  4. Lei Wang
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Corresponding author

Correspondence to Shenquan Liu .

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Editors and Affiliations

  1. Lab. for Dynamics of Emergent Intelligen, RIKEN Brain Science Institute Lab. for Dynamics of Emergent Intelligen, Wako City, Japan

    Yoko Yamaguchi

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Xie, X., Liu, S., Pan, X., Wang, L. (2013). Numerical Analysis of Parkinson’s Disease in a Basal Ganglia Network Model. In: Yamaguchi, Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4792-0_109

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