CLOSED-LOOP CONTROL OF THE THALAMOCORTICAL RELAY NEURON'S PARKINSONIAN STATE BASED ON SLOW VARIABLE-Reference-Cited by-同舟云学术

CLOSED-LOOP CONTROL OF THE THALAMOCORTICAL RELAY NEURON'S PARKINSONIAN STATE BASED ON SLOW VARIABLE

Published:2013-06-09 Issue:04 Volume:23 Page:1350017
ISSN:0129-0657
Container-title:International Journal of Neural Systems
language:en
Short-container-title:Int. J. Neur. Syst.

Author:

LIU CHEN¹,WANG JIANG¹,CHEN YING-YUAN¹,DENG BIN¹,WEI XI-LE¹,LI HUI-YAN²

Affiliation:

1. School of Electrical Engineering and Automation, Tianjin University, 300072, Tianjin, China

2. School of Automation and Electrical Engineering, Tianjin University of Technology and Educations, 300222, Tianjin, China

Abstract

A novel closed-loop control strategy is proposed to control Parkinsonian state based on a computational model. By modeling thalamocortical relay neurons under external electric field, a slow variable feedback control is applied to restore its relay functionality. Qualitative and quantitative analysis demonstrates the performance of feedback controller based on slow variable is more efficient compared with traditional feedback control based on fast variable. These findings point to the potential value of model-based design of feedback controllers for Parkinson's disease.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications,General Medicine

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0129065713500172

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