The research of brain network structure in artificial intelligence

Jinjian Li; Yi Liu

doi:10.1117/12.3036841

13 July 2024 The research of brain network structure in artificial intelligence

Jinjian Li, Yi Liu

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 132082I (2024) https://doi.org/10.1117/12.3036841
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinjian Li and Yi Liu "The research of brain network structure in artificial intelligence", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 132082I (13 July 2024); https://doi.org/10.1117/12.3036841

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