Extracting Synergies in Nonlinear Dynamics and Investigating their Neural Basis

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Bayati, Hamid Reza | 2009

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 39328 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Vosoughi Vahdat, Bijan
Abstract:
The existence of motor synergies in motor system as a tool for reducing degrees of freedom has been always debated. In the last two decades some experiments in vertebrates show the existence of motor primitives in spinal cord. In additional by recording electromyogram from frog some regular patterns have been shown. Recently, a motor coordination model based on stochastic optimal feedback control has extracted synergies by mathematical formulation. In addition, according to this model synergies are the optimal solution of the problem and not for simplifying it. However, this model is investigated in linear dynamics. In this thesis, first, an inverse method for extracting synergies is proposed. Then, the characteristics of extracted synergies are compared with experimental and physiological evidences. In fact, the goal of this thesis is exploring the neural basis of the theory. Our results show the compatibility between model and experimental evidences
Keywords:
Optimal Feedback Control Theory ; Locomotion Control ; Motor Coordination ; Motor Primitives ; Synergy

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