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Yan Song 0006
Person information
- affiliation: Beijing Normal University, IDG/McGovern Institute for Brain Research, Beijing, China
Other persons with the same name
- Yan Song — disambiguation page
- Yan Song 0001 — University of Science and Technology of China, National Engineering Laboratory for Speech and Language Information Processing, Hefei, China
- Yan Song 0002 — University of Shanghai for Science and Technology, Department of Control Science and Engineering, China (and 1 more)
- Yan Song 0003 — Chinese University of Hong Kong, Shenzhen (CUHK-SZ), China (and 2 more)
- Yan Song 0004 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Yan Song 0005 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Yan Song 0007 — Shandong University, Institute of Marine Science and Technology, China (and 1 more)
- Yan Song 0008 — Shanghai International Studies University, School of Business and Management, China (and 2 more)
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2020 – today
- 2023
- [j5]Dongwei Li, Yiqing Hu, Mengdi Qi, Chenguang Zhao, Ole Jensen, Jing Huang, Yan Song:
Prioritizing flexible working memory representations through retrospective attentional strengthening. NeuroImage 269: 119902 (2023) - 2021
- [j4]Xiujie Yang, Jia Zhang, Yaping Lv, Fang Wang, Guosheng Ding, Manli Zhang, Xiangzhi Meng, Yan Song:
Failure of resting-state frontal-occipital connectivity in linking visual perception with reading fluency in Chinese children with developmental dyslexia. NeuroImage 233: 117911 (2021)
2010 – 2019
- 2019
- [j3]He Chen, Yan Song, Xiaoli Li:
A deep learning framework for identifying children with ADHD using an EEG-based brain network. Neurocomputing 356: 83-96 (2019) - 2016
- [j2]Fang Wang, Jing Huang, Yaping Lv, Xiaoli Ma, Bin Yang, Encong Wang, Boqi Du, Wu Li, Yan Song:
Predicting perceptual learning from higher-order cortical processing. NeuroImage 124: 682-692 (2016) - 2015
- [j1]Jing Huang, Fang Wang, Yulong Ding, Haijing Niu, Fenghua Tian, Hanli Liu, Yan Song:
Predicting N2pc from anticipatory HbO activity during sustained visuospatial attention: A concurrent fNIRS-ERP study. NeuroImage 113: 225-234 (2015) - 2013
- [c1]Yan Song, Ping Xie, Xiaoguang Wu, Yihao Du, Xiaoli Li:
A novel method of non-stationary sEMG signal analysis and decomposition using a latent process model. ROBIO 2013: 2363-2368
Coauthor Index
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