Research on the Cross-modal Cognitive Neural Computing Framework of the Brain and Mind Inspired Intelligence

Abstract To address the problems of scientific theory of brain and mind, common technology and engineering application of nature-inspired intelligence, this paper is focused on research in the semantic-oriented computing framework design for multimedia and multimodal information. The multimedia neural cognitive computing model of brain-inspired computing was designed based on the brain mechanism of nervous system and mind architecture of cognitive system. Furthermore, the semantic-oriented hierarchical cross-modal cognitive neural computing framework of brain-like computing was proposed based on multimedia neural cognitive computing model. Furthermore, the formal description and analysis of cross-modal cognitive neural computing framework was given. It would effectively improve the performance of semantic processing of multimedia and cross-modal information such as target detection, classification and recognition in high-resolution remote sensing image, and has far-reaching significance for exploration and realization brain and mind inspired computing.