Simplicial RTD-based cellular nonlinear networks

Author

Julián, Pedro ; Dogaru, Radu ; Itoh, Makoto ; Hänggi, Martin ; Chua, Leon O.

Author_Institution

Dept. of Appl. Electron. & Inf. Eng., Polytech. Univ. of Bucharest, Romania

Volume

50

Issue

4

fYear

2003

fDate

4/1/2003 12:00:00 AM

Firstpage

500

Lastpage

509

Abstract

Recently, a novel structure called the simplicial cellular neural network (CNN) has been introduced , which permits one to implement any Boolean/Gray-level function of any number of variables. This paper is devoted to explore novel circuit architectures for the implementation of the simplicial CNN based on resonant tunneling diodes. The final objective is to implement a fully programmable CNN in a hardware platform based on nanoelectronic devices.

Keywords

Boolean functions; cellular neural nets; nanoelectronics; neural chips; neural net architecture; piecewise linear techniques; resonant tunnelling diodes; Boolean function; Gray-level function; RTD-based cellular nonlinear networks; circuit architectures; fully programmable CNN; nanoelectronic device based hardware platform; resonant tunneling diodes; simplicial PWL algorithm; simplicial RTD CNN; simplicial cellular neural network; Boolean functions; Cellular networks; Cellular neural networks; Diodes; Hardware; Nanoscale devices; Neural networks; Nonlinear equations; RLC circuits; Resonant tunneling devices;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/TCSI.2003.809819

Filename

1196448