Lower Motor Control Modeled by Neuron With Fuzzy Synapses.

摘要

This 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.