DocumentCode
2534714
Title
A simple RTD-based circuit for Boolean CNN cells
Author
Hänggi, Martin ; Chua, Leon O. ; Dogaru, Radu
Author_Institution
Nonlinear Electron. Lab., California Univ., Berkeley, CA, USA
fYear
2000
fDate
2000
Firstpage
189
Lastpage
194
Abstract
We investigate the use of resonant tunneling diodes (RTDs) in circuits for Boolean cellular neural networks (CNNs). RTDs excel in their electronic properties, their size, and switching speed, and can readily be integrated together with GaAs FETs. A simple RTD-based circuit is proposed and shown to be capable of realizing linearly separable Boolean functions. To implement the network parameters, the transconductances of the FETs are used. Hence, the cell is not programmable or universal, but application-specific. The theoretical results are confirmed by Spice simulations, and an example is given
Keywords
Boolean functions; SPICE; cellular neural nets; field effect transistor circuits; logic circuits; neural chips; resonant tunnelling diodes; Boolean function; GaAs FET; Spice simulations; cellular neural network; resonant tunneling diodes; transconductance; Cellular neural networks; Circuit simulation; Diodes; Equations; FETs; Gallium arsenide; Nanoelectronics; Resonant tunneling devices; Transient analysis; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location
Catania
Print_ISBN
0-7803-6344-2
Type
conf
DOI
10.1109/CNNA.2000.876843
Filename
876843
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