Analog velocity sensing circuits based on bio-inspired correlation neural networks

We propose simple analog MOS circuits producing one-dimensional optical flows aiming at the realization of compact motion-sensing circuits. In the proposed circuit, the optical flow is computed by a number of local motion sensors, as in biological motion-sensing systems. Mimicking the structure of biological motion detectors made the circuit structure quite simple, compared with conventional velocity sensing circuits. Extensive simulation results using SPICE and experimental results indicated that the proposed circuits could compute local velocities of a moving light spot and showed direction selectivity for the moving spot, which implies that a high-resolution motion-sensing chip can be realized using standard analog very large-scale integration technology