Title :
Compact bistable CNNs based on resonant tunneling diodes
Author :
Hänggi, Martin ; Chua, Leon O.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Abstract :
Resonant tunneling diodes (RTDs) have intriguing properties which make them a primary nanoelectronic device for both analog and digital applications. We propose a bistable RTD-based cell for the cellular neural network (CNN) which exhibits superior performance in terms of circuit complexity, and processing speed compared to standard cells. Thanks to the negative differential resistance property of the RTD, switching occurs almost instantaneously as virtually no charge transfer is necessary, and it is possible to implement commonly used nonlinear connections in a straightforward manner
Keywords :
cellular neural nets; circuit bistability; neural chips; resonant tunnelling diodes; bistable RTD-based cell; cellular neural network; compact bistable CNNs; negative differential resistance property; nonlinear connections; resonant tunneling diodes; switched-voltage technique; Cellular neural networks; Electron emission; Energy states; Intelligent networks; Nanoscale devices; Photonic band gap; Resonance; Resonant tunneling devices; Semiconductor diodes; Voltage;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921254