Accurate design of analog CNN in CMOS digital technologies
A. Rodriquez-Vazques, Rafael Domínguez-Castro, J.L. Huertas · IEEE International Workshop on Cellular Neural Networks and their Applications · 2002
Explores the design of cellular neural networks (CNN) by using sampled-data analog current-mode techniques which neither requires capacitors nor resistors but just MOS transistors. The feature makes the proposed technique well suited for implementation in conventional VLSI MOS technologies. A set of building blocks is presented and their performance validated by device-level simulation results. Also, guidelines are given concerning the choice of the circuit parameters for optimum operation.>