脑机接口 / BCI

On using AI for EEG-based BCI applications: problems, current challenges and future trends

Thomas Barbera, Jacopo Burger, Alessandro D'Amelio, Simone Zini, Simone Bianco, Raffaella Lanzarotti, Paolo Napoletano, Giuseppe Boccignone, Jose Luis Contreras-Vidal

机构 * University of Milano-Bicocca（米兰-比科卡大学） ； University of Milan（米兰大学） ； University of Houston（休斯敦大学） 纠错

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

Minimally Invasive Brain Computer Interfaces: Evaluating the Impact of Tissue Layers on Signal Quality of Sub-Scalp EEG

Timothy B Mahoney, JingYang Liu, Huakun Xin, David B Grayden, Sam E John

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

Comments 20 pages, 8 figures, 2 tables

Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals

Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Md. Anik Hasan, Sumaiya Kabir

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

Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study

Martin Wimpff, Bruno Aristimunha, Sylvain Chevallier, Bin Yang

专题命中 EEG解码 ：EEG(title,abstract)；motor imagery(title,abstract)；BCI(abstract)；分类 cs.LG

Professor X: Manipulating EEG BCI with Invisible and Robust Backdoor Attack

Xuan-Hao Liu, Xinhao Song, Dexuan He, Bao-Liang Lu, Wei-Long Zheng

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

Comments 27 pages,13 figures

Novel BCI paradigm for ALS patients based on EEG and Pupillary Accommodative Response

Davide D'Adamo, Emiliano Robert, Cristina Gena, Silvestro Roatta

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

BCI-Walls: A robust methodology to predict success or failure in brain computer interfaces

Bernd Porr, Lucía Muñoz Bohollo

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

Comments 22 pages, 6 figures

Comparison of Sub-Scalp EEG and Endovascular Stent-Electrode Array for Visual Evoked Potential Brain-Computer Interface

Timothy B. Mahoney, Po-Chen Liu, David B Grayden, Sam E. John

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

Comments Copyright 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Fabrizio De Vico Fallani

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

Comments This is the version of the article before editing, as submitted by an author to the Journal of Neural Engineering. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online athttp://iopscience.iop.org/article/10.1088/1741-2552/abef39

Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI

Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason D. Connolly, Toby P. Breckon

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

Comments Accepted as a full paper at the 25th International Conference on Pattern Recognition (ICPR2020)

An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing

Aras R. Dargazany, Mohammadreza Abtahi, Kunal Mankodiya

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

A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems

Samira Vafay Eslahi, Nader Jafarnia Dabanloo, Keivan Maghooli

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

Comments 12 pages, 4 figures, 1 table

Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI

Pablo Ortega, Cedric Colas, Aldo Faisal

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

Simulation Experiment of BCI Based on Imagined Speech EEG Decoding

Kang Wang, Xueqian Wang, Gang Li

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

Steady State Visually Evoked Potentials detection using a single electrode consumer-grade EEG device for BCI applications

Enrico Calore

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

Comments Work conducted between 2013 and 2014

Exploring Two Novel Features for EEG-based Brain-Computer Interfaces: Multifractal Cumulants and Predictive Complexity

Nicolas Brodu, Fabien Lotte, Anatole Lécuyer

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

Comments Updated with more subjects. Separated out the band-power comparisons in a companion article after reviewer feedback. Source code and companion article are available at http://nicolas.brodu.numerimoire.net/en/recherche/publications

Not All EEG Moments Are Equal: Position-Adaptive Time Scheduling for EEG Generation

并非所有脑电（EEG）时刻都平等：面向脑电生成的位置自适应时间调度

Boheng Liu, Ziyu Li, Chenghua Duan, Qing Li, Xia Wu

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

AI总结 针对现有脑电生成方法忽略脑电时刻异质性的问题，提出基于条件流匹配的自适应框架，引入位置自适应时间调度等模块，在三类脑电数据集上优于基线，提升生成质量与下游任务性能。

Deep Learning CNN and Recurrence Analysis for Alpha Gamma EEG Biomarkers in Fragile X Syndrome

用于脆性X综合征α和γ脑电学生物标志物的深度学习CNN与递归分析

Zag ElSayed, Payton Siekierski, Jack Yanchen Liu, Ernest Pedapati

机构 * School of Information Technology (SoIT), University of Cincinnati（辛辛那提大学信息技术学院） ； Division of Child and Adolescent Psychiatry Cincinnati Children’s Hospital Medical Center（辛辛那提儿童医院医学中心儿童与青少年精神病学科） 纠错

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

AI总结 本研究提出整合CNN、LSTM与RP分析的多表征深度学习框架，通过分析FXS患者α、γ频段EEG信号，实现优于单模态基线的自动表型表征，为FXS生物标志物开发提供了可扩展方法。

Comments 14 pages, 4 figures, conference

Journal ref Springer ISBCom 2026

Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation

迈向实用的情感识别：一种用于脑电领域自适应的无监督无源方法

Md Niaz Imtiaz, Naimul Khan

机构 * Toronto Metropolitan University（多伦多 Metropolitan 大学） 纠错

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

AI总结 该研究针对基于EEG的情感识别在跨域设置中的难题，提出无监督无源方法。构建多阶段框架，用双损失自适应正则化和局部一致性学习解决域转移及噪声伪标签问题，实验表明该方法显著优于现有方法，适用于实际情感识别应用。

Comments Accepted: IEEE Transactions on Affective Computing

A spectral audit framework reveals task-dependent aperiodic reliance across EEG and ECG deep learning

频谱审计框架揭示EEG和ECG深度学习中任务依赖的非周期性依赖

Jasmeet Singh Bindra, Siddharth Panwar

机构 * Indian Knowledge Systems and Mental Health Applications (IKSMHA) Center, Indian Institute of Technology Mandi（印度理工学院曼迪分校印度知识体系与心理健康应用中心） ； School of Computing and Electrical Engineering, Indian Institute of Technology Mandi（印度理工学院曼迪分校计算与电气工程学院） 纠错

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

AI总结 提出频谱审计框架，结合非周期/周期分解、相位保持傅里叶干预等，发现深度学习模型对非周期成分的依赖是任务依赖且架构通用的，在睡眠-觉醒分类中影响显著，临床异常检测中中等，运动想象中最小，并扩展到ECG。

Comments 25 pages, being prepared for submission to peer-reviewed journal

Exploring Deep Learning Models for EEG Neural Decoding

Laurits Dixen, Stefan Heinrich, Paolo Burelli

机构 * IT University of Copenhagen, Denmark（丹麦哥本哈根信息技术大学） 纠错

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

Geometric Neural Network based on Phase Space for BCI-EEG decoding

Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y. de Camargo, Sylvain Chevallier, Théodore Papadopoulo

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

Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces

Jian Cui, Liqiang Yuan, Zhaoxiang Wang, Ruilin Li, Tianzi Jiang

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

EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks

Lubin Meng, Jian Huang, Zhigang Zeng, Xue Jiang, Shan Yu, Tzyy-Ping Jung, Chin-Teng Lin, Ricardo Chavarriaga, Dongrui Wu

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

Journal ref IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023

Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces

Xinbin Liang, Yaru Liu, Yang Yu, Kaixuan Liu, Yadong Liu, Zongtan Zhou

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

Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signals

Tonatiuh Hernández-Del-Toro, Carlos A. Reyes-García, Luis Villaseñor-Pineda

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

Comments 10 pages, 14 figures

Journal ref Biomedical Signal Processing and Control. Volume 65 (2021), 102351

Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)

Aung Aung Phyo Wai, Yangsong Zhang, Heng Guo, Ying Chi, Lei Zhang, Xian-Sheng Hua, Seong Whan Lee, Cuntai Guan

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

Comments Further improvements or modifications required to algorithm design

Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces

Xue Jiang, Xiao Zhang, Dongrui Wu

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

Single-trial EEG Discrimination between Wrist and Finger Movement Imagery and Execution in a Sensorimotor BCI

A. K. Mohamed, T. Marwala, L. R. John

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

Comments 33rd Annual International IEEE EMBS Conference 2011

SingLEM: Single-Channel Large EEG Model

SingLEM：单通道脑电大模型

Jamiyan Sukhbaatar, Satoshi Imamura, Ibuki Inoue, Shoya Murakami, Kazi Mahmudul Hassan, Seungwoo Han, Ingon Chanpornpakdi, Toshihisa Tanaka

机构 * Department of Electronic and Information Engineering, Tokyo University of Agriculture and Technology（电子信息工程系，东京农业科技大学） ； Department of Electronics and Communication Engineering, National University of Mongolia（电子与通信工程系，蒙古国立大学） 纠错

专题命中 EEG解码 ：EEG(title,summary_cn)；motor imagery(abstract)；分类 cs.LG

AI总结 SingLEM是一种自监督单通道EEG基础模型，通过71个公开EEG数据集预训练，在6项任务的严格评估中表现优于对比方法，支持灵活的EEG特征提取与空间分析。