A neural network for scene segmentation based on compact astable oscillators

We show the feasibility of building a neural network for scene segmentation made of astable oscillators. The network is based on Wang and Terman's algorithm, LEGION . However, much simpler astable circuits have substituted the original oscillators so they meet analog microelectronic requirements and can achieve a high integration level. The correct behavior of the modified network and some of its non-idealities inherent to analog VLSI (as time delay effects) are shown by means of simulations.