DocumentCode
400303
Title
An exhaustive analysis of emergent behaviors in recurrent cellular computing systems with outer-totalistic cells
Author
Dogaru, R. ; Iftime, A. ; Darloman, D. ; Glesner, M.
Author_Institution
Dept. of Appl. Electron. & Inf. Eng., Bucharest, Romania
Volume
2
fYear
2003
fDate
28 Sept.-2 Oct. 2003
Abstract
This paper introduces a set of systematic tools to identify and classify emergent behaviors in recurrent Cellular Neural Networks (CNN) emulating binary cellular automata (CA). Some relationships are established between the class of behavior and the structural complexity of a nonlinear neural cell implementing outer-totalistic local Boolean functions.
Keywords
Boolean algebra; cellular automata; cellular neural nets; emergent phenomena; binary cellular automata; emergent behaviors; exhaustive analysis; local Boolean functions; outer-totalistic cells; recurrent cellular computing systems; recurrent cellular neural networks; Biomedical computing; Biomedical engineering; Boolean functions; Cellular networks; Cellular neural networks; Computer networks; Electronic mail; Neurons; Prototypes; Semiconductor device modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Semiconductor Conference, 2003. CAS 2003. International
Print_ISBN
0-7803-7821-0
Type
conf
DOI
10.1109/SMICND.2003.1252461
Filename
1252461
Link To Document