Title :
VLSI implementation of a reconfigurable cellular neural network containing local logic (CNNL)
Author :
Halonen, K. ; Porra, V. ; Roska, T. ; Chua, L.
Author_Institution :
Dept. of Electr. Eng., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
A new integrated circuit cellular neural network implementation having digitally or continuously selectable template coefficients is presented. Local logic and memory is added into each cell providing a simple dual computing structure (analog and digital). The variable-gain operational transconductance amplifier (OTA) is used as voltage controlled current sources to program the weighting factors of the template elements. A 4-by-4 CNN circuit is realized using the 2 μm analog CMOS-process. The circuit with different template configurations has been simulated with HSPIC
Keywords :
CAD; CMOS integrated circuits; VLSI; cellular arrays; hybrid computers; neural nets; parallel architectures; 2 micron; CMOS IC; HSPIC; VLSI; local logic; operational transconductance amplifier; reconfigurable cellular neural network; template coefficients; voltage controlled current sources; weighting factors; Analog computers; Cellular neural networks; Circuit simulation; Computational modeling; Digital integrated circuits; Operational amplifiers; Reconfigurable logic; Transconductance; Very large scale integration; Voltage control;
Conference_Titel :
Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on
Conference_Location :
Budapest
DOI :
10.1109/CNNA.1990.207526
