Artificial Intelligence''''s Fusing Representation Model Based on Dynamics of Neural System
人工智能的神经系统动力学融合表示模型研究

The problem of representation is the most kernel and most key problem in artificial intelligence. The hypothesis of inconsequence of the lower order structure is our traditional choice, and use standing instead of standing for to implement representation. Stemming from computational cognitive neuroscience, thus based on neuron information processing, massive representation by neural network and cognitive behaviors' dynamics model of neural system, this research aims to build a common and consistent groundwork within neuroscience to explain kinds of intelligent behaviors, and fuse information, system and processing procedure.together fluently. This research is great significant for the structure simulation method of AI and the probe of intelligence's neural mechanism.