A VLSI implementation of a neuromorphic network for scene segmentation

A VLSI implementation of a network of locally coupled oscillators for scene segmentation is presented. The circuit is based on LEGION (locally excitatory, globally inhibitory, oscillator network) algorithm and significant simplifications were made in order to reduce the silicon area overhead. We present the circuits for an analog VLSI implementation of the algorithm in a reduced area. The ability of the proposed implementation to segmentate simple images using oscillatory correlation is shown.