A new brain-like visual system, comprising a retina-morphological array and a neural network, wherein the retina-morphological array is used for converting visual information into an electrical signal; and the neural network performs information processing on an input electrical signal to obtain a visual cognition result. The retina-morphological array senses and synchronously preprocesses the visual information, such that the transmission of a large amount of redundant visual information from a photoreceptor end to an image information processor is prevented, bandwidth resources are saved, and the visual information processing efficiency is improved. A neural network with a more complicated structure and more functions is configured by using a cross array, and the visual information is subjected to higher level processing by means of the neural network, thereby realizing a new brain-like visual system which integrates image recognition, dynamic tracking, and trajectory prediction.
NEW BRAIN-LIKE VISUAL SYSTEM