Here's a TL;DR (I'm an amateur with interest in neuroscience - I have no creds and this is my personal, non-specific interpretation of the important parts - ple

Here's a TL;DR (I'm an amateur with interest in neuroscience - I have no creds and this is my personal, non-specific interpretation of the important parts - please feel free to correct me on anything I may have misinterpreted or how this explanation could be improved): There's a circuit that's fed, in an event-based manner, analog, ultrasonic data from sensors (data is filtered in a few ways first). The circuit has resistive memory which is basically non-volatile RAM. The RRAM modules can store weights, and block/allow inputs depending on its mode. The circuitry also involves LIF (Leaky integrate and fire) neurons which translate the amplitude of voltage into frequency (higher amplitude -> higher frequency @ same amplitude). Processed waves from the ultrasonic sensors are interpreted as degrees away and distance (with a relatively small error margin, on quite low energy compared to the same task on a microprocessor).