Lower Motor Control Modeled by Neuron With Fuzzy Synapses

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412200

Entities

People

  • C. Bigan
  • M. Ungureanu
  • R. Strungaru
  • V. Lazarescu

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Brain
  • Computational Complexity
  • Feature Extraction
  • Fuzzy Sets
  • Integrals
  • Motor Neurons
  • Muscles
  • Nervous System
  • Neurons
  • Parallel Computing
  • Parallel Processing
  • Pattern Recognition
  • Recognition
  • Spinal Cord
  • Systems Biology

Readers

  • Computational Linguistics
  • Neuroscience
  • Robotics and Automation.