Integrated pulse neuron circuit for asynchronous pulse neural networks

We propose an integrated neuron circuit for an asynchronous pulse neural network model. This circuit is suitable for an implementation of a wide range of spatio-temporal coding networks since the circuit can function as both a coincidence detector and an integrator of the input pulses by properly setting bias voltage. We fabricate a prototype chip for the proposed circuit using MOSIS HP/Agilient 0.5 /spl mu/m CMOS semiconductor process. The experimental measurements from the chip confirm that the integrated neuron circuit qualitatively replicates the behavior of the model. Especially, coincidence detection of input pulses in a short-time window, and further, complex behavior including chaos in the internal state value and in the interspike intervals of the output pulses are illustrated.