A CNN UNIVERSAL CHIP IN CMOS TECHNOLOGY
S. ESPEJO, R. CARMONA, Rafael Domínguez-Castro, Angel Rodriguez-Vazquez · International Journal of Circuit Theory and Applications · 1996
This paper describes the design of a programmable cellular neural network (CNN) chip with added functionalities similar to those of the CNN universal machine. The prototype contains 1024 cells and has been designed in a 1·0 μm, n-well CMOS technology. Careful selection of the topology and design parameters has resulted in a cell density of 31 cells mm−2 and around 7–8 bits accuracy in the weight values. Adaptive techniques have been employed to ensure accurate external control and system robustness against process parameter variations.