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Stochastic neurodynamics

  • Kunio Yasue
  • Mari Jibu
  • Tetsuya Misawa
  • Jean-Claude Zambrini
Models

Abstract

Stochastic dynamics of relative membrane potential in the neural network is investigated. It is called stochastic neurodynamics. The least action principle for stochastic neurodynamics is assumed, and used to derive the fundamental equation. It is called a neural wave equation. A solution of the neural wave equation is called a neural wave function and describes stochastic neurodynamics completely. Linear superposition of neural wave functions provides us with a mathematical model of associative memory process. As a simple application of stochastic neurodynamics, a mathematical representation of static neurodynamics in terms of equilibrium statistical mechanics of spin system is derived.

Key words and phrases

Neurodynamies neural holography neural wave equation neural network associative memory 

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Copyright information

© The Institute of Statistical Mathematics, Tokyo 1988

Authors and Affiliations

  • Kunio Yasue
    • 1
  • Mari Jibu
    • 1
  • Tetsuya Misawa
    • 2
  • Jean-Claude Zambrini
    • 3
  1. 1.Research Institute for Informatics and ScienceNotre Dame Seishin UniversityOkayamaJapan
  2. 2.Department of Applied Mathematics and Physics, Faculty of EngineeringKyoto UniversityKyotoJapan
  3. 3.Mathematics InstituteUniversity of WarwickCoventryEngland

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