RTD-based cellular neural networks with multiple steady states

International Journal of Bifurcation and Chaos in Applied Sciences and Engineering

Volumn 11, Issue 12, 2001, Pages 2913-2959

  Itoh, Makoto ^a   Julián, Pedro ^b,c,d   Chua, Leon O ^b  

^a FUKUOKA INSTITUTE OF TECHNOLOGY   (Japan)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Facultad de Ciencias Naturales e Instituto M Lillo   (Argentina)

^d UNIVERSIDAD NACIONAL DEL SUR   (Argentina)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0035657216     PISSN: 02181274     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218127401004133     Document Type: Article

References (8)

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3. Hänggi, M., Simon, M., Pfaffhauser, E. & Moschytz, G. S. [1999] "Simulation and visualization of CNN dynamics," Int. J. Bifurcation and Chaos 9(7), 1237-1261.
4. Hänggi, M. & Chua, L. O. [2000] "Simulation of RTD-based CNN cells," Memorandum UCB/ERL M00/51, Electronics Research Laboratory, University of California, Berkeley.
5. Kanagawa, A., Kawabata, H. & Takahashi, H. [1996] "Cellular neural networks with multiple-valued out-puts and its application," IEICE Trans. Fundamentals E79-A(6), 1658-1663.
6. Liu, D. & Michel, A. N. [1993] "Cellular neural networks for associate memories," IEEE Trans. Circuits Syst. II 40(2), 119-121.
7. Pecora, L. & Carroll, T. [1990] "Synchronization in chaotic systems," Phys. Rev. Lett. 64(8), 821-824.
8. Tang, H. & Lin, H. C. [1996] "Multi-valued decoder based on resonant tunneling diodes in current tapping mode," Proc. 26th Int. Symp. Multi- Valued Logic, Santiago de Compostela, pp. 230-234.