Artificial visual neuron based on threshold switching memristors

Abstract The human visual system encodes optical information perceived by photoreceptors in the retina into neural spikes and then processes them cortex, with high efficiency low energy consumption. Inspired this processing mode, an universal artificial neuron constructed a resistor ( R s ) threshold switching memristor can realize rate coding modulating pulse parameters resistance of . Owing to absence external parallel capacitor, has minimized chip area. In addition, is proposed replacing photo-resistor. oscillation frequency depends on distance between photo-resistor light, which fundamental acquiring depth perception for precise recognition learning. A accurately conceptually emulate self-regulation process speed control driverless automobile. Therefore, efficiently sensory data, reduce or eliminate data transfer conversion at sensor/processor interfaces, expand its application field intelligence.