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
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;
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
DOI :
10.1109/CNNA.2000.876843