Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method-Reference-Cited by-同舟云学术

Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method

Published:2023-01 Issue:1 Volume:27 Page:445-456
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Li Ziyu¹,Zhu Zhiyuan¹^ORCID,Li Qing²^ORCID,Wu Xia¹^ORCID

Affiliation:

1. School of Artificial Intelligence, Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing Normal University, Beijing, China

2. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China

Funder

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10006388/09894677.pdf?arnumber=9894677

Reference51 articles.

1. A predictive model of the cat cortical connectome based on cytoarchitecture and distance

2. Multi-scale graph principal component analysis for connectomics;winter,2021

3. Representing the dynamics of high-dimensional data with non-redundant wavelets

4. Information decomposition of target effects from multi-source interactions: Perspectives on previous, current and future work;lizier;Entropy,2018

5. Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Scale Spatio-Temporal Fusion With Adaptive Brain Topology Learning for fMRI Based Neural Decoding;IEEE Journal of Biomedical and Health Informatics;2024-01