The research of brain network structure in artificial intelligence

Artificial intelligence (AI) and the brain have close connection. The brain contains a large number of brain cells, which form a complex network of brain cells and nerves. By studying the structure of brain networks, we can further understand human cognition and provide better support for artificial intelligence and brain computer interface technology. Firstly, we analyze common structures and their advantages and disadvantages. Then, we analyze the multipath problem in brain network structures, including the number of paths and the probability of path selection. Finally, we study the impact of the number of neighboring nodes. The research shows that the brain network structure is crucial for maintaining the flexibility and reliability of the brain network, and the number of neighboring nodes has significant impact.