Cognitive Neural Computation Modeling of Human Brain Information Storage and Extraction Based on Intelligent Computing

With the development of neurological and brain science, human beings have more understanding memory mechanism brain. Therefore, using to store retrieve images is one most popular research fields in world. Memory an important part cognitive system, it basis for realization higher-level activities. Human perception are closely related. If people lose ability perceive, then people’s function will not be able display. The current storage extraction information mostly based on mathematical principles, without considering brain, so correctness effectiveness these methods high. this study adopts intelligent algorithm PCNN denoise, segment, identify, images. On basis, a new learning method adopted. This can realize online incremental image data predetermining size structure network. And when necessary, extracted or distance between detected versus stored data. test shows that number 25, present technique has accuracy 100% time required 2345 s. Compared with median filtering method, efficiency greater.