脑机接口 / BCI

Enabling Rapid Calibration of BCI Systems that Detect Movement-Related Cortical Potentials in Children with Cerebral Palsy

实现对患有脑瘫的儿童检测与运动相关的皮层电位的脑机接口系统的快速校准

R. Saadatyar, D. Damiano, A. Behboodi

专题命中 BCI数据与评测 ：BCI(title,summary_cn)；cortical(title,abstract)；EEG(abstract,abstract_cn)；brain-computer interface(abstract)

AI总结 研究针对脑瘫儿童脑机接口系统校准时间长的问题，开发深度学习框架，采用双向长短期记忆网络及七种训练策略，经实验表明累积学习和迁移学习可大幅降低校准要求并保持高解码性能，助力实用儿科BCI系统发展。

What Holds Back Brain-Computer Interfaces? Uncovering Challenges and Opportunities in BCI-controlled Games for Cerebral Palsy Rehabilitation

什么阻碍了脑机接口？揭示脑瘫康复中BCI控制游戏的挑战与机遇

Bastian Ilsø Hougaard, Kirstine Schultz Dalgaard, Kirstine Johanne Stougaard Klebæk, Hendrik Knoche, Mads Jochumsen

专题命中 BCI数据与评测 ：BCI(title,title_cn)；brain-computer interface(title,abstract)；分类 cs.HC

AI总结 本研究通过临床治疗师和10名脑瘫患者的体验，揭示BCI游戏在脑瘫康复中面临的控制感、辅助机制等挑战与机遇。

Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline

Dongrui Wu, Xue Jiang, Ruimin Peng, Wanzeng Kong, Jian Huang, Zhigang Zeng

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；motor imagery(title,abstract)；BCI(abstract)；EEG(abstract)

Journal ref Neural Networks, 153:235-253, 2022

Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016

Dongrui Wu, Yifan Xu, Bao-Liang Lu

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；EEG(title,abstract)；BCI(abstract)；motor imagery(abstract)

Journal ref IEEE Trans. on Cognitive and Developmental Systems, 14(1):4-19, 2022

A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification

Jie Jiao, Meiyan Xu, Qingqing Chen, Hefan Zhou, Wangliang Zhou

专题命中 BCI数据与评测 ：EEG(title,abstract)；motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)

Comments 10 pages,4 figures,journal

Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface

Yonghao Song, Lie Yang, Xueyu Jia, Longhan Xie

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；EEG(title,abstract)；BCI(abstract)；motor imagery(abstract)

Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces

Kaixi Tian, Shengjia Zhao, Yuhan Zhang, Shan Yu

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；neural decoding(title,abstract)；BCI(abstract)；cortical(abstract)

Speed-enhanced Subdomain Adaptation Regression for Long-term Stable Neural Decoding in Brain-computer Interfaces

Jiyu Wei, Dazhong Rong, Xinyun Zhu, Qinming He, Yueming Wang

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；neural decoding(title,abstract)；BCI(abstract)；neural signal(abstract)

EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification

Xiao-Cong Zhong, Qisong Wang, Dan Liu, Zhihuang Chen, Jing-Xiao Liao, Jinwei Sun, Yudong Zhang, Feng-Lei Fan

专题命中 BCI数据与评测 ：EEG(title,abstract)；motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)

End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces

Maryam Alimardani, Steven Kocken, Nikki Leeuwis

专题命中 BCI数据与评测 ：motor imagery(title,abstract)；brain computer interface(title)；BCI(abstract)；brain-computer interface(abstract)

Revisiting Euclidean Alignment for Transfer Learning in EEG-Based Brain-Computer Interfaces

Dongrui Wu

机构 * Ministry of Education Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, 430074 China（教育部长图像处理与智能控制重点实验室，华中科技大学，武汉，430074中国） ； Zhongguancun Academy, Beijing, 100084 China（中关村学院，北京，100084中国） 纠错

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；EEG(title,abstract)；BCI(abstract)；分类 cs.LG、cs.HC

Journal ref Journal of Neural Engineering, 22: 031005, 2025

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification

Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park

专题命中 BCI数据与评测 ：EEG(title,abstract)；motor imagery(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG

Comments Early Accepted at MICCAI 2024

Fuzzy normed BCK-algebras and BCI-algebras

模糊赋范BCK-代数和BCI-代数

Young Bae Jun, Ravikumar Bandaru

专题命中 BCI数据与评测 ：BCI(title,title_cn)

AI总结 将经典赋范代数结构推广到模糊环境，引入模糊赋范BCK/BCI-代数，建立基本性质并研究同态下的传递条件。

Dimensionality reduction based on Distance Preservation to Local Mean (DPLM) for SPD matrices and its application in BCI

基于距离保持到局部均值的距离降维（DPLM）的SPD矩阵及其在BCI中的应用

Alireza Davoudi, Saeed Shiry Ghidary, Khadijeh Sadatnejad

专题命中 BCI数据与评测 ：BCI(title,title_cn)

AI总结 本文提出了一种非线性降维算法，用于对对称正定（SPD）矩阵流形进行处理，通过保持数据的局部结构和局部均值距离（DPLM）来提供高类间区分的低维表示。实验表明，DPLM在BCI竞赛IV的多类数据集IIa上优于其他方法，因其对异常值具有鲁棒性。

Integrating Language-Image Prior into EEG Decoding for Cross-Task Zero-Calibration RSVP-BCI

将语言-图像先验整合到EEG解码中以实现跨任务零校准RSVP-BCI

Xujin Li, Wei Wei, Shuang Qiu, Xinyi Zhang, Fu Li, Huiguang He

专题命中 BCI数据与评测 ：BCI(title,abstract)；EEG(title,abstract)；brain-computer interface(abstract)；分类 cs.HC

AI总结 本研究提出ELIPformer模型，通过融合语言-图像先验知识提升跨任务零校准RSVP-BCI的解码性能。

Comments 15 pages, 11 figures

Journal ref Machine Intelligence Research (2026)

Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding

Xiaoxi Wei, Pablo Ortega, A. Aldo Faisal

专题命中 BCI数据与评测 ：EEG(title,abstract)；motor imagery(title,abstract)；BCI(abstract)；分类 cs.LG

Comments Accepted manuscript IEEE/EMBS Neural Engineering (NER) 2021

Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson's Disease patients

Aleksandar Miladinović, Miloš Ajčević, Pierpaolo Busan, Joanna Jarmolowska, Giulia Silveri, Manuela Deodato, Sussana Mezzarobba, Piero Paolo Battaglini, Agostino Accardo

专题命中 BCI数据与评测 ：BCI(title,abstract)；motor imagery(title)；brain-computer interface(abstract)；EEG(abstract)

Journal ref 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models

OmniEEG-Bench: 脑电图基础模型的标准化评估基准

Ziling Lu, Zongsheng Li, Xinke Shen, Kexin Lou, Yingyue Xin, Xiaoqi Chen, Shinan Wang, Xiang Chen, Jiahao Fan, Chenyu Huang, Xin Xu, Zhoujie Hou, Chen Wei, Quanying Liu

机构 * Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China（南方科技大学生物医学工程系，深圳，中国） ； School of Computer Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China（香港中文大学（深圳）计算机科学与工程学院，深圳，中国） ； Omni-Intelligence, Shenzhen, China（奥米智能，深圳，中国） ； Shenzhen Loop Area Institute, Shenzhen, China（深圳环城研究院，深圳，中国） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；BCI(abstract,abstract_cn)；brain-computer interface(abstract)；分类 cs.LG

AI总结 针对脑电图基础模型评估碎片化问题，提出统一基准OmniEEG-Bench，涵盖六类任务、54个数据集，并揭示预训练数据多样性和模型大小与性能的缩放律关系。

Comments 28 pages, 13 figures, 8 tables; benchmark of EEG foundation models

Dendrite: A Real-Time Python Application for Online Brain-Computer Interface Research and Development

Dendrite：用于在线脑机接口研究与开发的实时Python应用程序

Niko Kroflic, Jan Babič

专题命中 BCI数据与评测 ：BCI(summary_cn,abstract)；brain-computer interface(title,abstract)；分类 cs.HC

AI总结 研究旨在开发在线脑机接口软件，核心方法是用Python编写Dendrite应用程序，它整合信号采集、解码器训练与实时推理，能同时记录多信号流并并发处理，可重现且开源，为在线BCI范式开发评估提供了系统。

Comments 15 pages, 5 figures

Federated deep transfer learning for EEG decoding using multiple BCI tasks

Xiaoxi Wei, A. Aldo Faisal

专题命中 BCI数据与评测 ：BCI(title,abstract)；EEG(title,abstract)；分类 eess.SP、cs.LG

Comments 4 pages, 3 figures

Overcoming the BCI Calibration Bottleneck: A Clinically-Grounded Architecture using Riemannian Alignment and Stochastic Weight Averaging

克服脑机接口校准瓶颈：一种基于黎曼对齐和随机权重平均的临床基础架构

Immanuvel Prathap Sagayaraju

机构 * University of Bern（伯恩大学） 纠错

专题命中 BCI数据与评测 ：BCI(title,abstract)；brain-computer interface(abstract)；motor imagery(abstract)；分类 q-bio.NC、eess.SP、cs.LG

AI总结 研究针对脑机接口校准瓶颈问题，构建结合逐会话独立成分分析、黎曼欧几里得对齐和随机权重平均稳定EEGNet的深度学习管道，在基准测试和案例研究中取得高准确率，验证了对二元运动想象的硬件无关零样本有效性。

Comments 10 pages, 8 figures

Pseudo-online framework for BCI evaluation: A MOABB perspective

Igor Carrara, Théodore Papadopoulo

专题命中 BCI数据与评测 ：BCI(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；motor imagery(abstract)

Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders

Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；BCI(abstract)；EEG(abstract)；motor imagery(abstract)

Comments 9th International IEEE EMBS Conference on Neural Engineering (NER'19)

Federated Transfer Learning for EEG Signal Classification

Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan

专题命中 BCI数据与评测 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；motor imagery(abstract)

Comments 6 pages, 2 figures, Accepted for IEEE Engineering in Medicine and Biology Society (EMBC) 2020 GitHub: https://github.com/DashanGao/Federated-Transfer-Leraning-for-EEG

Journal ref 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 2020, pp. 3040-3045

ChineseEEG-2: An EEG Dataset for Multimodal Semantic Alignment and Neural Decoding during Reading and Listening

Sitong Chen, Beiqianyi Li, Cuilin He, Dongyang Li, Mingyang Wu, Xinke Shen, Song Wang, Xuetao Wei, Xindi Wang, Haiyan Wu, Quanying Liu

专题命中 BCI数据与评测 ：EEG(title,abstract)；neural decoding(title,abstract)；分类 eess.SP

Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions

脑机接口中的合成数据生成：概述、基准测试与未来方向

Ziwei Wang, Zhentao He, Xingyi He, Hongbin Wang, Tianwang Jia, Jingwei Luo, Siyang Li, Xiaoqing Chen, Dongrui Wu

机构 * School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China（华中科技大学人工智能与自动化学院，武汉，中国） ； Zhongguancun Academy, Beijing, China（中关村学院，北京，中国） 纠错

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；BCI(abstract,abstract_cn)；motor imagery(abstract)；分类 eess.SP、cs.LG

AI总结 本文综述了用于脑机接口的合成脑数据生成方法，讨论了不同生成方法的分类、基准实验、评估指标和应用，以及未来研究方向，旨在提升数据效率和隐私保护的脑机接口系统。

Comments 33 pages, 8 figures

Online Adaptation via Dual-Stage Alignment and Self-Supervision for Fast-Calibration Brain-Computer Interfaces

Sheng-Bin Duan, Jian-Long Hao, Tian-Yu Xiang, Xiao-Hu Zhou, Mei-Jiang Gui, Xiao-Liang Xie, Shi-Qi Liu, Zeng-Guang Hou

机构 * School of Information, Shanxi University of Finance and Economics（山西财经大学信息学院） ； Chinese Academy of Sciences（中国科学院） ； State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation（多模态人工智能系统国家重点实验室，自动化研究所） ； University of Chinese Academy of Sciences（中国科学院大学） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） ； CAS Center for Excellence in Brain Science and Intelligence Technology（中国科学院脑科学与智能技术卓越创新中心） ； Joint Laboratory of Intelligence Science and Technology, Institute of Systems Engineering, Macau University of Science and Technology（澳门科技大学智能科学与技术联合实验室） 纠错

专题命中 BCI数据与评测 ：brain-computer interface(title)；BCI(abstract)；brain computer interface(abstract)；EEG(abstract)

TFOC-Net: A Short-time Fourier Transform-based Deep Learning Approach for Enhancing Cross-Subject Motor Imagery Classification

Ahmed G. Habashi, Ahmed M. Azab, Seif Eldawlatly, Gamal M. Aly

专题命中 BCI数据与评测 ：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset

Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee

专题命中 BCI数据与评测 ：BCI(title,abstract)；brain-computer interface(abstract,comments)；EEG(abstract)；motor imagery(abstract)

Comments Submitted to 2023 11th IEEE International Winter Conference on Brain-Computer Interface

Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of Datasets

Pierre Guetschel, Michael Tangermann

专题命中 BCI数据与评测 ：motor imagery(title,abstract)；BCI(abstract,comments)；brain-computer interface(abstract)；分类 cs.LG、cs.HC

Comments Keywords: EEG, BCI, Motor Imagery, Deep Learning, Transfer Learning, Cross-Dataset. 3 figures, 2 tables