Stochastic and PWM coding for an efficient implementation of Cellular Neural Networks

This paper present the application of Pulse Stream Tech-niques (PSTs) to the hardware implementation of a Cellular Neural Network. The time differential equation of this networks suggests that the dynamic of one neuron status can be emulated by adding discretized packets of charge to a capacitor. This task can be carried out by driving a current source with a pulse stream signal