AN ITERATED NET MODEL OF THE VERTEBRATE COMMAND AND CONTROL SYSTEM.

Abstract

An eigenstate approach to the problem of stable biosynthetic mode points in cells is considered. This problem is cybernetically dual to the reticular formation one of passing from stable mode point to stable mode point under input provocation. The report also discusses a theory of the reticular formation. Throughout the life of the vertebrates, the core of the central nervous system, sometimes called the reticular formation, has retained the power to commit the whole animal to one mode of behavior rather than another. Its anatomy, or wiring diagram, is fairly well known, but to date no theory of its circuit action has been proposed that could possibly account for its known performance. Its basic structure is that of a string of similar modules, wide but shallow in computation everywhere, and connected not merely from module to adjacent module, but by long jumpers between distant modules. Analysis of its circuit actions heretofore proposed in terms of finite automata or coupled nonlinear oscillators has failed. Nonlinear, probabilistic hybrid computers are proposed as proper modules, and a behavioral simulation of an anastomatically-coupled linear array of 12 such computers is described. The model contains about 2200 wires, yet still behaves as an integral unit, rolling over from stable mode to stable mode according to abductive logical principles, and as directed by its succession of input 60-tuples. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1966
Accession Number
AD0636322

Entities

People

  • W. L. Kilmer

Organizations

  • Michigan State University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Anatomy
  • Brain
  • Central Nervous System
  • Circuits
  • Command And Control
  • Command And Control Systems
  • Computers
  • Control Systems
  • Hybrid Computers
  • Linear Arrays
  • Nervous System
  • Simulations
  • Simulators
  • Wiring Diagrams

Readers

  • Computational Linguistics
  • Mathematical Modeling and Probability Theory.
  • Neuroscience

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control