Simulation and implementation of an analog VLSI pulse-coupled neural network for image segmentation

Abstract

We present a massively parallel VLSI realization of a pulse-coupled neural network for image segmentation. The network comprises 128 /spl times/ 128 simple nonleaky integrate-and-fire (IAF) neurons with self-organizing inter-neural connections. The prototype implementation also contains analog memories for image storing and a digital readout circuit using an address-event-representation (AER) protocol. The chip has been designed in an Infineon 0.13 /spl mu/m standard CMOS technology.