Analysis of brain cognition in artificial intelligence

Yi Liu; Jinjian Li

doi:10.1117/12.3036833

13 July 2024 Analysis of brain cognition in artificial intelligence

Yi Liu, Jinjian Li

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 132082T (2024) https://doi.org/10.1117/12.3036833
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

Artificial intelligence (AI) and brain networks are two very broad and complex research fields. They each have different priorities, but there are also intersections. Some AI systems, especially neural networks and deep learning models, are inspired by the structure of the human brain. These models attempt to process information by mimicking neurons and their connections. On the other hand, simulating and understanding human cognitive processes through AI models can help us better understand the working principles of the brain. Both fields are rapidly developing and providing us with profound insights into the essence of intelligence and how the brain works.

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

Citation Download Citation

Yi Liu and Jinjian Li "Analysis of brain cognition in artificial intelligence", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 132082T (13 July 2024); https://doi.org/10.1117/12.3036833

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