A VLSI Implementation of Mixed-Signal mode Bipolar Neuron Circuitry

Abstract —Neuron circuits have parallel operation features. VLSI implemented Neuron networks are suitable for high speed and low power consumption applications. Digital implementations have good noise immunity while analog neuron circuits have smaller size. This paper presents a mixed-signal neuron design. It uses digital input, output, and weight signals while keeps analog internal operation. Thus, this circuit has both good noise immunity and small size features. Clock signal is used to synchronize the neuron circuit operation. Simulation shows it has sigmoid activation function. This circuit is suitable for being used in feed-forward type neural networks.