Designing a deep brain stimulator to suppress pathological neuronal synchrony |
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Affiliation: | 1. Advanced Control Systems Laboratory, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. Department of Systems Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany;3. Advanced Control Systems Laboratory, Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran;4. Human Motor Control and Computational Neuroscience Laboratory, Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran;1. School of Science, Harbin Institute of Technology, Weihai, 264209, PR China;2. College of Information Science and Engineering, Ocean University of China, Qingdao, 266071, PR China;3. Department of Engineering, Faculty of Technology and Science, University of Agder, N-4898 Grimstad, Norway;1. Department of Computer Science, University of Maryland, College Park, MD 20742, United States;2. Department of Kinesiology, University of Maryland, College Park, MD 20742, United States;3. Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20742, United States;4. Maryland Robotics Center, University of Maryland, College Park, MD 20742, United States;5. University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, United States;1. School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510006, China;2. SYSU-CMU Shunde International Joint Research Institute, Shunde, China;3. Guangdong Province Key Laboratory of Computational Science, Guangzhou 510275, China;4. Guangdong Province Key Laboratory of Information Security, China |
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Abstract: | Some of neuropathologies are believed to be related to abnormal synchronization of neurons. In the line of therapy, designing effective deep brain stimulators to suppress the pathological synchrony among neuronal ensembles is a challenge of high clinical relevance. The stimulation should be able to disrupt the synchrony in the presence of latencies due to imperfect knowledge about parameters of a neuronal ensemble and stimulation impacts on the ensemble. We propose an adaptive desynchronizing deep brain stimulator capable of dealing with these uncertainties. We analyze the collective behavior of the stimulated neuronal ensemble and show that, using the designed stimulator, the resulting asynchronous state is stable. Simulation results reveal the efficiency of the proposed technique. |
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Keywords: | Adaptive structure Desynchronizing stimulation Hindmarsh–Rose neural networks |
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