ANALOG TO DIGITAL CONVERSION USING RECURRENT NEURAL NETWORKS

A system for converting an analog signal into a digital data stream includes a recurrent network with a plurality of converter circuits that individually receive the same analog signal as input. The circuits then generate a plurality of spike outputs that exhibit characteristics of the analog signal. Interconnecting feedback loops from each circuit output to the input of neighboring circuits queues the plurality of spike outputs to thereby self-organize the network. A digital clock is then used to establish predetermined time intervals for counting the spike outputs to create the digital data stream.