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 $17.00 $21.00

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
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?