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Updated: Jun 5, 2026

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
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低级 Tensor 融合用于基于深度学习的增强多模式大脑年龄估计.

Xia Liu1, Guowei Zheng2, Iman Beheshti3

  • 1School of Management Science and Information Engineering, Hebei University of Economics and Businesses, Shijiazhuang 050061, China.

Brain sciences
|January 8, 2025
PubMed
概括

这项研究引入了一种新的低级张量融合方法,以整合多式脑成像数据,以更准确地估计大脑年龄. 该方法增强了深度学习模型,在预测大脑年龄方面显示出有希望的结果.

关键词:
大脑年龄 大脑年龄深度学习是一种深度学习.低级张力聚变的低级张力聚变.机器学习是机器学习.这是一个多式联络模式.空间时间.

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相关概念视频

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).