Share Email Print

Proceedings Paper

Self-organized criticality in neural networks
Author(s): Vladimir I. Makarenkov; A. B. Kirillov
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Possible mechanisms of creating different types of persistent states for informational processing are regarded. It is presented two origins of criticalities - self-organized and phase transition. A comparative analyses of their behavior is given. It is demonstrated that despite a likeness there are important differences. These differences can play a significant role to explain the physical issue of such highest functions of the brain as a short-term memory and attention. 1.

Paper Details

Date Published: 1 August 1991
PDF: 3 pages
Proc. SPIE 1469, Applications of Artificial Neural Networks II, (1 August 1991); doi: 10.1117/12.45022
Show Author Affiliations
Vladimir I. Makarenkov, Research Computing Ctr. (Russia)
A. B. Kirillov, Research Computing Ctr. (Russia)

Published in SPIE Proceedings Vol. 1469:
Applications of Artificial Neural Networks II
Steven K. Rogers, Editor(s)

© SPIE. Terms of Use
Back to Top