An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset-Reference-Cited by-同舟云学术

An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset

Author:

Zhang Shu¹^ORCID,Wu Lin²^ORCID,Yu Sigang¹^ORCID,Shi Enze¹^ORCID,Qiang Ning³^ORCID,Gao Huan²^ORCID,Zhao Jingyi⁴^ORCID,Zhao Shijie²^ORCID

Affiliation:

1. School of Computer Science, Center for Brain and Brain-Inspired Computing Research, Northwestern Polytechnical University, Xi’an, China

2. School of Automation, Northwestern Polytechnical University, Xi’an, China

3. School of Physics and Information Technology, Shaanxi Normal University, Xi’an, China

4. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China

Funder

Key-Area Research and Development Program of Guangdong Province

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

High-Level Researcher Start-Up Projects

Science and Technology Support Project of Guizhou Province

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

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