脑机接口 / BCI

Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction

Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Kost Elisevich, Dario Pompili

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

Comments IEEE Global Conference on Signal and Information Processing (GlobalSIP), Greater Washington, DC, Dec 7-9, 2016

Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces

Jaime Fernando Delgado Saa, Mujdat Cetin

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

Comparison of an open-hardware electroencephalography amplifier with medical grade device in brain-computer interface applications

Jérémy Frey

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

Comments PhyCS - International Conference on Physiological Computing Systems, Jul 2016, Lisbon, Portugal. SCITEPRESS, 2016

Exploring EEG for Object Detection and Retrieval

Eva Mohedano, Amaia Salvador, Sergi Porta, Xavier Giró-i-Nieto, Graham Healy, Kevin McGuinness, Noel O'Connor, Alan F. Smeaton

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

Comments This preprint is the full version of a short paper accepted in the ACM International Conference on Multimedia Retrieval (ICMR) 2015 (Shanghai, China)

Self-paced brain-computer interface control of ambulation in a virtual reality environment

Po T. Wang, Christine E. King, Luis A. Chui, An H. Do, Zoran Nenadic

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

Comments 20 pages, 7 figures, link to video supplementary material (http://youtu.be/GXmovT3BxEo)

Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition

Dong-Kyun Han, Dong-Young Kim, Geun-Deok Jang

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

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

Recognition of Tactile-related EEG Signals Generated by Self-touch

Myoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin

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

Comments Submitted to 2022 10th IEEE International Winter Conference on Brain-Computer Interface

Deep Transfer Learning for Error Decoding from Non-Invasive EEG

Martin Völker, Robin T. Schirrmeister, Lukas D. J. Fiederer, Wolfram Burgard, Tonio Ball

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

Comments 6 pages, 9 figures, The 6th International Winter Conference on Brain-Computer Interface 2018

KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretation

KAST-BAR：基于知识的语义动态拓扑脑自回归建模用于通用神经解释

Haoning Wang, Wenchao Yang, Shuai Shen, Yang Li

机构 * School of Automation Science and Electrical Engineering, Beihang University, Beijing, China.（自动化科学与电气工程学院，北航，北京，中国） ； School of Biological Science and Medical Engineering, Beihang University, Beijing, China.（生物科学与医学工程学院，北航，北京，中国） ； State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China.（虚拟现实技术与系统国家重点实验室，北航，北京，中国） ； T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.（7T磁共振成像转化医学中心，放射科，西南医院，军医大学（第三军医大学），重庆，中国） 纠错

专题命中 EEG解码 ：EEG(summary_cn,abstract)；neural decoding(abstract)；分类 eess.SP、cs.LG

AI总结 KAST-BAR通过动态对齐多层级脑拓扑的生理表示与专家级语义空间，解决EEG基础模型在复杂时空拓扑建模和模态差距问题，实现跨任务的神经解释。

Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli

Neuroprobe：评估自然刺激下的颅内脑响应

Andrii Zahorodnii, Christopher Wang, Geeling Chau, Bennett Stankovits, Charikleia Moraitaki, Eli Gross, Alexander Brady, Andrei Barbu, Boris Katz, Ila R Fiete

机构 * MIT CSAIL, CBMM（MIT CSAIL，CBMM） ； MIT McGovern Institute（MIT McGovern研究所） ； Caltech（加州理工学院） ； Columbia University（哥伦比亚大学） ； ETH Zurich（苏黎世联邦理工学院） 纠错

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

AI总结 Neuroprobe通过高分辨率颅内EEG数据研究多模态语言处理，提供评估框架比较不同模型架构，揭示语言处理在大脑中的时间与空间动态。

Comments 38 pages, 7 main figures, 16 supplementary figures, 13 tables

NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals

NAKUL-Med: 带动态核的谱-图状态空间模型用于医学信号

Badri N. Patro, Vijay S. Agneeswaran

机构 * Microsoft（微软） 纠错

专题命中 EEG解码 ：BCI(abstract,abstract_cn)；EEG(abstract,abstract_cn)；motor imagery(abstract)；分类 eess.SP、cs.LG

AI总结 NAKUL-Med通过动态核生成、谱上下文建模和图引导的空间注意力，提升多通道生理信号分析的性能，实现高准确率和高效推理。

Comments Accepted CVPR Finding Track

Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models

Guido Klein, Pierre Guetschel, Gianluigi Silvestri, Michael Tangermann

机构 * Donders Institute for Brain, Cognition and Behaviour, Radboud University（拉德堡德大学邓德斯脑、认知与行为研究所） ； OnePlanet Research Center, imec-the Netherlands（荷兰OnePlanet研究中心、imec荷兰分部） 纠错

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

Comments submitted to 9th Graz BCI conference, 6 pages, 3 figures, first figure is split into two subfigures, 1 table

Journal ref 9th Graz Brain-Computer Interface Conference (2024) 438-443

Source-free Subject Adaptation for EEG-based Visual Recognition

Pilhyeon Lee, Seogkyu Jeon, Sunhee Hwang, Minjung Shin, Hyeran Byun

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

Comments Accepted by the 11th IEEE International Winter Conference on Brain-Computer Interface (BCI 2023). Code is available at https://github.com/DeepBCI/Deep-BCI

Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks

Ji-Seon Bang, Ji-Hoon Jeong, Dong-Ok Won

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

Comments Submitted to IEEE 9th International Winter Conference on Brain-Computer Interface (BCI 2021)

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

机构 * Darmstadt University of Applied Sciences（达姆施塔特应用科学大学） ； FH Aachen - University of Applied Sciences（亚琛应用科学大学） 纠错

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

机构 * Korea University（高丽大学） 纠错

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