Stochastic Phase Resetting : A Theory for Deep Brain Stimulation

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概要

• 論文の詳細を見る

• The basic principles of a stochastic approach to phase resetting in populations of interacting phase oscillators are presented in this article.This theory explains how synchronization and desynchronization processes are caused by a pulsatile stimulus.It is a central goal of this approach to establish a theoretical basis for the design of efficient and intelligent new deep brain stimulation techniques.Accordingly, the theory is used to design a new deep brain stimulation technique with feedback control in patients suffering from Parkinson's disease or essential tremor.

• 理論物理学刊行会の論文
• 2000-07-14

著者

• Tass Peter

  Institute Of Medicine Research Centre Julich Germany

• Tass Peter

  Institute Of Medicine Research Centre Julich

関連論文

• Inferring Asymmetric Relations between Interacting Neuronal Oscillators
• Inferring Asymmetric Relations between Interacting Neuronal Oscillators
• Desynchronization by Means of a Coordinated Reset of Neural Sub-Populations : A Novel Technique for Demand-Controlled Deep Brain Stimulation
• Desynchronization by Means of a Coordinated Reset of Neural Sub-Populations : A Novel Technique for Demand-Controlled Deep Brain Stimulation
• Stochastic Phase Resetting : A Theory for Deep Brain Stimulation

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