Review Cycle Records
Cognitive Neurodynamics
数据更新 2026-07-21 · 完整周期 10 篇 · 日期来源可逐条复核
Cognitive Neurodynamics已收录10篇完整论文周期样本,平均审稿138 天,中位审稿109.5 天。2025中科院4区,非OA,2025发文量207。页面含论文收到日期、录用日期、PDF、DOI和出版社网页溯源入口。
Latest Papers
最新发表论文审稿周期
审稿天数=录用日期-收到日期;保留 PDF/DOI/网页源链接
Hierarchical temporal-separable convolutional-recurrent attention network for EEG-based epileptic seizure prediction
作者Khadija Slama; Ali Yahyaouy; Jamal Riffi; Mohamed Adnane Mahraz; Hamid Tairi
作者单位1. Laboratory of Computer Science, Innovation, and Artificial Intelligence, Department of Computer Science, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco; 2. LaMSN - The House of Digital Sciences, Sorbonne Paris Nord University, Paris, France
Automated pain severity detection by using adaptive band-wise GNN technique with EEG signals
作者Farhan A. Alenizi; Tahereh Nezam; Mokhtar Mohammadi; Reza Boostani
作者单位1. Electrical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia; 2. Center of Research and Strategic Studies, Lebanese French University, Erbil, Iraq; 3. Information Technology Department, College of Engineering and Computer Science, Lebanese French University, Erbil, Iraq; 4. Center of Excellence in Precision Medicine and Digital Health, Department of Physiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand; 5. Faculty of Information Technology, Applied Science Private University, Amman, Jordan
The write-cost bottleneck: energy constraints on continual learning in brains and machines
作者Bingru Xu; Hao Shen; Yuguo Yu
作者单位1. MOE Frontiers Center for Brain Science, and State Key Laboratory of Brain Function and Disorders, Research Institute of Intelligent and Complex Systems and Institute of Science and Technology for Brain-Inspired Intelligence, Human Phenome Institute, Fudan University, Shanghai, China
Modeling the rhythmic complexity of professional drumming with an oscillation-driven reservoir computer
作者Yuji Kawai; Shinya Fujii; Minoru Asada
作者单位1. Symbiotic Intelligent Systems Research Center, Institute for Open and Transdisciplinary Research Initiatives, the University of Osaka, Suita, Japan; 2. Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan; 3. International Professional University of Technology in Osaka, Osaka, Japan; 4. Academy of Emerging Sciences, Chubu University, Kasugai, Japan
Synergistic entrainment: a multiscale neurodynamic framework for closed-loop cross-modal neuromodulation
作者Chenfei Yan; Shuo Zhang; Yingwei Li; Qianxiang Zhou; Zhongqi Liu
作者单位1. School of Biomedical Engineering, Capital Medical University, Beijing, China; 2. School of Biological Science and Medical Engineering, Beihang University, Beijing, China
Aperiodic EEG spectral features as consistent indicators of Parkinson’s disease: a machine learning approach utilizing fitting oscillations and one-over-F decomposition
作者Bihan Chi; Qing Wang
作者单位1. Southern Medical University, Guangzhou, China; 2. Neurology Department, ZhuJiang Hospital of Southern Medical University, Guangzhou, China
A lightweight CMOS-based LIF circuit: modeling and spiking regulation
作者Quan Xu; Yixuan Wang; Changfeng Li; Ning Wang; Mo Chen; Xiaoyue Li; Huagan Wu
作者单位1. Wang Zheng School of Microelectronics, Changzhou University, Changzhou, China; 2. Changzhou Mingseal Robot Technology Co., Ltd., Changzhou, China
HADANet: hybrid attentive domain adaptation for cross-subject motor imagery EEG decoding
作者Dingming Wu; Meng Tang; Shihong Liu
作者单位1. School of Computer Engineering, Chengdu Technological University, Chengdu, China; 2. School of Computer Science, Chengdu University of Information Technology, Chengdu, China
TF-JointMAE: a self-supervised multi-representation EEG learning framework for Alzheimer’s disease spectrum classification
作者Min Zuo; Hong Zhu; Zhenqiao Liu; Qingchuan Zhang; Shaoyi Song
作者单位1. National Engineering Research Center for Agri-Product Quality Traceability, Beijing Technology and Business University, Beijing, China; 2. Business School, Beijing Wuzi University, Beijing, China
Machine learning-based detection techniques for post-traumatic stress syndrome recognition
作者V. Haripriya; Anamika Tiwari; Sumitra Padmanabhan; Swapnil M. Parikh; Amandeep Kaur; Jayant Jagtap
作者单位1. Department of Computer Science and Information Technology, JAIN (Deemed-to-be University), Bangalore, India; 2. Department of Computer Science and Engineering (AIML), Noida Institute of Engineering & Technology, Greater Noida, India; 3. Department of uGDX, ATLAS SkillTech University, Mumbai, India; 4. Department of Computer Science and Engineering, Faculty of Engineering and Technology, Parul Institute of Technology, Parul University, Vadodara, India; 5. Department of Computer Science and Engineering, School of Engineering and Technology, CGC University, Mohali, India; 6. School of Computing Science and Artificial Intelligence, NIMS Institute of Engineering and Technology, NIMS University Rajasthan, Jaipur, India