Attractor Density Models with Application to Analyzing the Stability of Biological Neural Networks

  • Authors:
  • Christian Storm;Walter J. Freeman

  • Affiliations:
  • -;-

  • Venue:
  • ICCS '01 Proceedings of the International Conference on Computational Science-Part II
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

An attractor modeling algorithm is introduced which draws upon techniques found in nonlinear dynamics and pattern recognition. The technique is motivated by the need for quantitative measures that are able to assess the stability of biological neural networks which utilize nonlinear dynamics to process information.