Editorial: Computational modeling methods for naturalistic neuroimaging data

Yudan Ren; Huan Liu; Shu Zhang; Jinglei Lv

doi:10.3389/fncom.2023.1117945

Editorial: Computational modeling methods for naturalistic neuroimaging data

Front Comput Neurosci. 2023 Jan 18:17:1117945. doi: 10.3389/fncom.2023.1117945. eCollection 2023.

Authors

Yudan Ren¹, Huan Liu², Shu Zhang³, Jinglei Lv⁴

Affiliations

¹ School of Information Science and Technology, Northwest University, Xi'an, China.
² School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, Jiangsu, China.
³ Department of Computer Science, Center for Brain and Brain-Inspired Computing Research, Northwestern Polytechnical University, Xi'an, China.
⁴ School of Biomedical Engineering and Brain and Mind Center, University of Sydney, Sydney, NSW, Australia.

No abstract available

Keywords: brain disorder; deep learning; machine learning; naturalistic paradigm; neuroimaging.

Publication types

Editorial

Grants and funding

This work was supported by the National Natural Science Foundation of China (Grant No. 62006187), the Youth Innovation Team Foundation of Education Department of Shaanxi Provincial Government (Grant No. 21JP119), and the China Postdoctoral Science Foundation Funded Project (Grant No. 2021M702650).