NDLI: Investigating the properties of optimal sensory and motor synergies in a nonlinear model of arm dynamics

Content Provider	IEEE Xplore Digital Library
Author	Bayati, H. Vahdat, S. Vahdat, B.V.
Copyright Year	2009
Description	Author affiliation: Department of Kinesiology and Physical Education, McGill University, USA (Vahdat, S.) \|\| Department of Electrical Engineering, Sharif University of Technology, Iran (Bayati, H.; Vahdat, B.V.)
Abstract	The vertebrate nervous system produces a wide range of movements flexibly and efficiently, in spite of high complexity and nonlinearity of their motor system. The existence of building blocks in motor system known as synergies can be a convincing solution to overcome the computational complexity. In mathematical perspective, optimal feedback control as a theory of motor coordination provides a coherent framework that leads to optimal synergies. Alternatively, some experiments in vertebrates have shown the involvement of spinal motor primitives in movement execution. The goal of this study is first extracting optimal synergies in nonlinear dynamics case and then investigating their biological plausibility according to reported experimental evidences. We investigated the theoretical properties of optimal synergies of reaching tasks in a 2-joint 6-muscle arm model. Our results show that optimal motor synergies have properties similar to the properties of motor primitives.
Starting Page	272
Ending Page	279
File Size	2430120
Page Count	8
File Format	PDF
ISBN	9781424435487
ISSN	10987576
DOI	10.1109/IJCNN.2009.5178941
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nonlinear dynamical systems Feedback control Nervous system Computational modeling Cost function Computational complexity Stochastic processes Biological neural networks Systems engineering education Biological system modeling
Content Type	Text
Resource Type	Article

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