Title :
Lower motor control modeled by neuron with fuzzy synapses
Author :
Bigan, C. ; Strungaru, R. ; Ungureanu, M. ; Lazarescu, V.
Author_Institution :
Electron. & Telecommun. Fac., Univ. Politehnica of Bucharest, Romania
Abstract :
The paper presents a model of information flow through the sensors to muscle system in regard to the control of output. The model takes into account both the logical and emotional action components. The emotional components depend on the current needs of the organism. Actions resulting in a positive change in the emotional analysis of the world activate the reward component that enables the action of logical analysis of the situation. The principal component of the system, which provides input to most muscle fibers of human body, is called lower motor neuron (LMN). The control of LMN is modeled via a set of fuzzy rules. The principles of processing seem applicable to artificial systems.
Keywords :
biocontrol; closed loop systems; feedback; fuzzy control; inference mechanisms; mechanoception; muscle; neurophysiology; physiological models; sensor fusion; time series; artificial systems; closed-loop feedback system; emotional action components; fuzzy control; fuzzy rules; fuzzy synapses; goal-directing system; high-priority operation; information flow model; logical action components; lower motor control; lower motor neuron; multisensorial fusion; muscular contractions; nocioceptor; output control; pain receptor; parallel processing; positive change; protective spinal reflex; reward component; robotics; time series; Biological system modeling; Communication system control; Control systems; Fuzzy control; Humans; Motor drives; Muscles; Neurons; Robots; Spinal cord;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1019074
