Statistical properties of cellular automata in the context of learning and recognition: Part 1, Introduction
Conference
·
OSTI ID:6525312
In this lecture the map from a cellular automaton to a sequence of analytical approximations called the local structure theory is described. Connections are drawn between cellular automata and neural network models. It is suggested that the process by which a cellular automaton holds particular probability measures invariant is an appropriate model for biological memory. 20 figs.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 6525312
- Report Number(s):
- LA-UR-88-3926; CONF-8809268-2; ON: DE89005446
- Resource Relation:
- Conference: Conference on learning and recognition - a modern approach, Beijing, China, 1 Sep 1988; Other Information: Portions of this document are illegible in microfiche products
- Country of Publication:
- United States
- Language:
- English
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