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Proceedings Paper

Self-organized criticality in neural networks
Author(s): Vladimir I. Makarenkov; A. B. Kirillov
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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)

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