A programmable cellular neural network circuit
Michel Leong, Pedro Vasconcelos, Jorge Ribeiro Fernandes, Leonel A. Sousa · 2004
In this paper we propose and develop a fully programmable CNN circuit. The CNN coefficients are digitally programmable using a Digital to Analog Converter (DAC), resulting in added flexibility.CNNs with 4x4 and 16x16 cells are designed and tested, exhibiting good accuracy when compared with Matlab and Java applications for computing CNNs.All circuits are designed and implemented with a 0.35um CMOS technology. The layout of a full 4x4 CNN was designed using Cadence Design Framework II. The circuits are simulated with Pspice/Spectre.