脑机接口 / BCI

What Causes Performance Degradation in Cross-Subject EEG Classification?

跨主体脑电分类中性能下降的原因是什么？

Yihe Wang, Taida Li, Yujun Yan, Wenzhan Song, Xiang Zhang

专题命中 EEG解码 ：EEG(title,abstract)；motor imagery(abstract)

AI总结 本文研究了跨主体脑电分类性能下降的原因，发现主体间差异和捷径学习是主要因素，针对不同任务提出改进方法。

Comments Accepted by the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2026)

Temporal Feature Extractors in EEG Foundation Models: A Controlled Comparison Including a Pretrained Time-Series Model

脑电图基础模型中的时间特征提取器：包含预训练时间序列模型的受控比较

Ayşe Betül Yüce, Chris Joey Leffler, Sarun Varghese, Myra Spiliopoulou, Sebastian Stober

专题命中 EEG解码 ：EEG(title,abstract)；motor imagery(abstract)

AI总结 本文在统一脑电图基础模型框架下，受控比较了三种时间特征提取策略（线性基线、卷积编码器、冻结预训练时间序列模型MOMENT），发现预训练TSFM可作为有效的时间特征提取器，但效果因下游任务而异。

When VR Meets BCI: (Un)Observable Brainwave-aware Privacy Reconstruction in the Metaverse via Unrestricted Inbuilt Motion Sensors

当VR遇上BCI：通过无限制内置运动传感器在元宇宙中实现（不可）观察的脑电波感知隐私重建

Tao Ni, Zehua Sun, Qingchuan Zhao, Wei-Bin Lee, Cong Wang

专题命中 EEG解码 ：BCI(title,title_cn)；EEG(abstract)

AI总结 利用VR头显内置运动传感器捕捉瞳孔反应引起的细微振动，重建脑电信号，首次在元宇宙中揭示不可观察的隐私泄露，实现52.0%-67.2%的感知图像识别准确率。

Channel-Oriented Design for EEG-to-Music Reconstruction

面向脑电到音乐重建的通道导向设计

Jiaxin Qing, Junwei Lu, Lexin Li

机构 * UC Berkeley（加州大学伯克利分校） ； Harvard University（哈佛大学） 纠错

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；neural signal(abstract)

AI总结 针对脑电信号弱、易受噪声和通道变异影响的问题，提出通道导向设计（包括通道级标记化、多视角自蒸馏和数据增强），在编码-对齐-解码流水线中实现稳定的音乐语义空间对齐，显著提升重建性能。

DECODE: Dual-Enhanced Conditioned Diffusion for EEG Forecasting

DECODE：双增强条件扩散用于脑电波预测

Mehran Shabanpour, Sadaf Khademi, Konstantinos N Plataniotis, Arash Mohammadi

机构 * Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Canada. Department of Electrical ； Computer Engineering, University of Toronto, Canada 纠错

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG、cs.HC

AI总结 DECODE通过结合自然语言描述与历史信号的时序动态，实现对认知事件特定神经响应的预测，达到亚微伏精度。

Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface

基于贝叶斯信号匹配的ERP脑机接口迁移学习

Tianwen Ma, Jane E. Huggins, Jian Kang

专题命中 EEG解码 ：brain computer interface(title)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

AI总结 本文提出贝叶斯信号匹配框架，用于ERP脑机接口中的迁移学习，通过分层混合模型提升EEG信号校准的准确性和泛化能力。

Comments 35 pages, 6 figures, 2 tables

NeuroLex: A Lightweight Domain Language Model for EEG Report Understanding and Generation

Kang Yin, Hye-Bin Shin

机构 * Dept. of Artificial Intelligence Korea University Seoul, Republic of Korea（人工智能系韩国大学首尔共和国韩国） 纠错

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；neural decoding(abstract)

NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment

Wenjiang Zhang, Sifeng Wang, Yuwei Su, Xinyu Li, Chen Zhang, Suyu Zhong

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；neural decoding(abstract)

Comments AAAI 2026

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

Jiquan Wang, Sha Zhao, Zhiling Luo, Yangxuan Zhou, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan

机构 * State Key Laboratory of Brain-machine Intelligence（脑机智能国家重点实验室） ； College of Computer Science and Technology（计算机科学与技术学院） ； Alibaba Group（阿里巴巴集团） ； Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine（神经生物学系、附属心理健康中心及杭州第七人民医院，浙江大学医学院） ； MOE Frontier Science Center for Brain Science and Brain-machine Integration（教育部脑科学与脑机集成前沿科学中心） 纠错

专题命中 EEG解码 ：EEG(title,abstract)；BCI(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments Accepted by The Thirteenth International Conference on Learning Representations (ICLR 2025)

EEG-Driven Image Reconstruction with Saliency-Guided Diffusion Models

Igor Abramov, Ilya Makarov

机构 * Ivannikov Institute for System Programming of the Russian Academy of Sciences（俄罗斯科学院伊万诺夫系统编程研究所） ； Research Center for Trusted Artificial Intelligence（可信人工智能研究中心） ； AI Talent Hub, ITMO University（ITMO大学人工智能人才中心） ； Moscow, Russia（俄罗斯莫斯科） 纠错

专题命中 EEG解码 ：EEG(title,abstract)；neural decoding(abstract)；neural signal(abstract)

Comments Demo paper

Repetitive TMS-based Identification of Methamphetamine-Dependent Individuals Using EEG Spectra

Ziyi Zeng, Yun-Hsuan Chen, Xurong Gao, Wenyao Zheng, Hemmings Wu, Zhoule Zhu, Jie Yang, Chengkai Wang, Lihua Zhong, Weiwei Cheng, Mohamad Sawan

专题命中 EEG解码 ：EEG(title,abstract)；neural signal(abstract)；分类 q-bio.NC、eess.SP、cs.LG

IMU-Enhanced EEG Motion Artifact Removal with Fine-Tuned Large Brain Models

Yuhong Zhang, Xusheng Zhu, Yuchen Xu, ChiaEn Lu, Hsinyu Shih, Gert Cauwenberghs, Tzyy-Ping Jung

机构 * Shu Chien-Gene Lay Department of Bioengineering and Institute for Neural Computation, University of California, San Diego (UCSD), La Jolla, CA 92093, USA（Shu Chien-Gene Lay 生物工程系和神经计算研究所，加州大学圣地亚哥分校（UCSD）） 纠错

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments Accepted to IEEE EMBS 12th International Conference on Neural Engineering (NER 2025)

3D-Telepathy: Reconstructing 3D Objects from EEG Signals

Yuxiang Ge, Jionghao Cheng, Ruiquan Ge, Zhaojie Fang, Gangyong Jia, Xiang Wan, Nannan Li, Ahmed Elazab, Changmiao Wang

机构 * Hangzhou Dianzi University（杭州电子科技大学） ； Macau University of Science（澳门科学技术大学） ； Shenzhen University（深圳大学） ； Shenzhen Research Institute of Big Data（深圳大数据研究院） 纠错

专题命中 EEG解码 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)

Consumer-grade EEG-based Eye Tracking

Tiago Vasconcelos Afonso, Florian Heinrichs

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG、cs.HC

Comments Data descriptor, 13 pages, 8 figures, 5 tables

Imagined Speech and Visual Imagery as Intuitive Paradigms for Brain-Computer Interfaces

Seo-Hyun Lee, Ji-Ha Park, Deok-Seon Kim

专题命中 EEG解码 ：brain-computer interface(title,abstract)；BCI(abstract)；EEG(abstract)

Comments 4 pages

Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition

Xinke Shen, Runmin Gan, Kaixuan Wang, Shuyi Yang, Qingzhu Zhang, Quanying Liu, Dan Zhang, Sen Song

专题命中 EEG解码 ：EEG(title,abstract)；neural signal(abstract)；分类 q-bio.NC、eess.SP、cs.HC

Comments 14 pages, 6 figures

ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters

Hazem Darwish, Abdalrahman Al Malah, Khloud Al Jallad, Nada Ghneim

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG、cs.HC

Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder

Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang

专题命中 EEG解码 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)

Comments 8 pages (excluding references), accepted by ACL 2024 Main Conference

Journal ref Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, Volume 1, pages 7278-7292, August 2024, Bangkok, Thailand

A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces

Yuntian Cui, Xinke Shen, Dan Zhang, Chen Yang

专题命中 EEG解码 ：brain-computer interface(title,abstract)；EEG(abstract)；分类 eess.SP、cs.LG、cs.RO

Comments 5 pages, 2 figures, 2 tables

EEG decoding with conditional identification information

Pengfei Sun, Jorg De Winne, Paul Devos, Dick Botteldooren

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG、cs.HC

Comments Accepted by 6th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2024)

Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification

Takuto Fukushima, Ryusuke Miyamoto

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；motor imagery(abstract)

CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction

Pin-Hua Lai, Bo-Shan Wang, Wei-Chun Yang, Hsiang-Chieh Tsou, Chun-Shu Wei

专题命中 EEG解码 ：EEG(title,abstract)；cortical(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Bayesian Inference on Brain-Computer Interfaces via GLASS

Bangyao Zhao, Jane E. Huggins, Jian Kang

专题命中 EEG解码 ：brain-computer interface(title,abstract)；BCI(abstract)；EEG(abstract)

Comments 32 pages, 5 figures

A Convolutional Network Adaptation for Cortical Classification During Mobile Brain Imaging

Benjamin Cichy, Jamie Lukos, Mohammad Alam, J. Cortney Bradford, Nicholas Wymbs

专题命中 EEG解码 ：cortical(title)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Estimating and approaching maximum information rate of noninvasive visual brain-computer interface

Nanlin Shi, Yining Miao, Changxing Huang, Xiang Li, Yonghao Song, Xiaogang Chen, Yijun Wang, Xiaorong Gao

专题命中 EEG解码 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 q-bio.NC、eess.SP、cs.HC

Time delay multi-feature correlation analysis to extract subtle dependencies from EEG signals

Jarek Duda

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments 7 pages, 7 figures

End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities

Quentin Barthélemy, Sylvain Chevallier, Raphaëlle Bertrand-Lalo, Pierre Clisson

专题命中 EEG解码 ：BCI(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG、cs.HC

Comments 9 pages, 7 figures, 3 tables

MAtt: A Manifold Attention Network for EEG Decoding

Yue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure

Phoebe M Asquith, Hisham Ihshaish

专题命中 EEG解码 ：EEG(title,abstract)；motor imagery(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Journal ref In Proceedings of the 23rd International Database Applications & Engineering Symposium IDEAS 2019

Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network

Md. Kamrul Hasan, Sifat Redwan Wahid, Faria Rahman, Shanjida Khan Maliha, Sauda Binte Rahman

专题命中 EEG解码 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.HC、cs.RO

Comments Accepted in https://icaeee2022.com/