A bioinspired recursive analog VLSI network for 3D spatiotemporal receptive fields

This work presents the use of a two-layered recursive network to produce biomimetic visual spatiotemporal bandpass receptive fields. Simulation results of the transistor network based on an array of spatially coupled polyphase Gm-C filters are also included. Our bioinspired approach captures the essence of efficient processing in recursive cortical networks and at the same time backed by the vigorous analytical tools found in cellular neural network theory within the CAS community.