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
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;
Conference_Titel :
Semiconductor Conference, 2003. CAS 2003. International
Print_ISBN :
0-7803-7821-0
DOI :
10.1109/SMICND.2003.1252461
