脑机接口 / BCI

SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal

SleepExplain: 基于EEG信号的可解释非快速眼动和快速眼动睡眠阶段分类

Rafsan Jany, Md. Hamjajul Ashmafee, Iqram Hussain, Md Azam Hossain

机构 * Islamic University of Technology（伊斯兰科技大学） ； Seoul National University（首尔国立大学） 纠错

专题命中 EEG解码 ：EEG(title,title_cn)；分类 cs.LG

AI总结 提出SleepExplain模型，使用集成学习（随机森林、XGBoost、梯度提升）对NREM和REM睡眠阶段进行分类，准确率达94.30%，并利用SHAP提供可解释性。

Comments 6 pages, 7 figures, 2022 25th International Conference on Computer and Information Technology (ICCIT)

Journal ref 2022 25th International Conference on Computer and Information Technology (ICCIT), pp. 248-253, 2022

Decoding Stimulus Reconstruction-Based Auditory Attention Robustly in Unbalanced EEG Datasets

在不平衡EEG数据集中基于刺激重建的听觉注意力鲁棒解码

Yuanming Zhang, Yayun Liang, Zhibin Lin, Jing Lu

机构 * Key Lab of Modern Acoustics, Nanjing University（南京大学现代声学国家重点实验室） ； Horizon Robotics 纠错

专题命中 EEG解码 ：EEG(title,title_cn)；分类 cs.LG

AI总结 研究不平衡数据集对基于刺激重建的听觉注意力解码性能的影响，提出留一对包交叉验证协议以防止解码准确率膨胀。

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis

光谱先验 vs. 注意力：探究注意力机制在基于脑电图的诊断中的效用

Tawsik Jawad, Gowtham Atluri, Vikram Ravindra

机构 * University of Cincinnati（辛辛那提大学） 纠错

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

AI总结 本文提出一种基于频带选择的光谱特征构建方法，证明在小型EEG数据集中，传统机器学习模型性能可匹敌或超越SOTA深度学习模型，而注意力机制无法提取稳定的光谱特征。

Black Hole-Inspired Horizon Model for Neural Signal Dynamics

黑洞启发式神经信号动力学视界模型

E. Canessa

专题命中 EEG解码 ：EEG(summary_cn,abstract)；neural signal(title)；分类 q-bio.NC

AI总结 提出一个受黑洞视界启发的框架，将EEG信号建模为受有效边界约束的类波表示投影，通过重整化群标度关系和谱熵参数化可观测模式，建立熵、尺度依赖动力学与神经振荡的联系。

Comments 4 pages, 2 figures

SIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding

SIMON: 基于显著性感知的多视角对象中心神经解码

YuSheng Lin, Ji-Hwa Tsai, Chun-Shu Wei

机构 * National Yang Ming Chiao Tung University（阳明交通大学） 纠错

专题命中 EEG解码 ：EEG(summary_cn,abstract)；neural decoding(title)；分类 q-bio.NC

AI总结 SIMON提出一种基于显著性感知的多视角框架，用于零样本EEG到图像检索，通过显著性感知采样选择注视点，生成强调信息对象区域的视网膜化视角，提升检索性能。

Personalized Spiking Neural Networks with Ferroelectric Synapses for EEG Signal Processing

具有铁电突触的个性化脉冲神经网络用于EEG信号处理

Nikhil Garg, Anxiong Song, Niklas Plessnig, Nathan Savoia, Laura Bégon-Lours

机构 * Integrated Systems Laboratory, Department of Information Technology and Electrical Engineering, ETH Zürich（集成系统实验室，信息科技与电气工程系，苏黎世联邦理工学院） 纠错

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

AI总结 本文提出利用铁电突触实现个性化EEG信号处理，通过设备感知训练和权重迁移策略，在资源受限平台实现高效自适应SNN解码。

System Filter-Based Common Components Modeling for Cross-Subject EEG Decoding

基于系统滤波器的跨受体EEG解码共同成分建模

Xiaoyuan Li, Xinru Xue, Bohan Zhang, Ye Sun, Shoushuo Xi, Gang Liu

机构 * college of Electrical and Information Engineering, Zhengzhou University（郑州大学电气与信息工程学院） ； School of Computer Science and Engineering, University of New South Wales（新南威尔士大学计算机科学与工程学院） 纠错

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

AI总结 本文提出基于系统滤波器的跨受体EEG解码共同成分建模方法，通过分离共同成分提升解码性能。

Comments 12 pages, 11 figures

Motor Imagery Classification Using Feature Fusion of Spatially Weighted Electroencephalography

Abdullah Al Shiam, Md. Khademul Islam Molla, Abu Saleh Musa Miah, Md. Abdus Samad Kamal

机构 * Department of Computer Science and Engineering, Netrokona University（计算机工程系，纳特罗科纳大学） ； Department of Computer Science and Engineering, University of Rajshahi（计算机工程系，拉贾沙希大学） ； Graduate Dept. of Computer Science and Engineering, University of Aizu（计算机工程研究生系，爱izu大学） ； Cluster of Electronics and Mechanical Engineering, Graduate School of Science and Technology, Gunma University（电子与机械工程集群，科学技术研究生学校，枪ma大学） 纠错

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

EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation

Junzhe Wang, Jiarui Xie, Pengfei Hao, Zheng Li, Yi Cai

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

Comments 8 pages, 14 figures, submitted to ICRA 2026

NeuroPilot: A Realtime Brain-Computer Interface system to enhance concentration of students in online learning

Asif Islam, Farhan Ishtiaque, Md. Muhyminul Haque, Farhana Sarker, Ravi Vaidyanathan, Khondaker A. Mamun

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

Comments V2: Author list updated with consent from all authors. Minor grammatical errors fixed. This work has been submitted to the IEEE for possible publication

PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding

Changhong Jing, Yan Liu, Shuqiang Wang, Bruce X. B. Yu, Gong Chen, Zhejing Hu, Zhi Zhang, Yanyan Shen

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

Uncovering the EEG Temporal Representation of Low-dimensional Object Properties

Jiahua Tang, Song Wang, Jiachen Zou, Chen Wei, Quanying Liu

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

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Yuchen Zhou, Jiamin Wu, Zichen Ren, Zhouheng Yao, Weiheng Lu, Kunyu Peng, Qihao Zheng, Chunfeng Song, Wanli Ouyang, Chao Gou

机构 * Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； Sun Yat-sen University（中山大学） ； The Chinese University of Hong Kong（香港中文大学） ； Karlsruher Institut fur Technologie（卡尔斯鲁厄理工学院） 纠错

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

Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program

Camilla Mannino, Pierpaolo Sorrentino, Mario Chavez, Marie-Costance Corsi

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

Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG

Siavash Shams, Richard Antonello, Gavin Mischler, Stephan Bickel, Ashesh Mehta, Nima Mesgarani

机构 * Columbia University（哥伦比亚大学） ； The Feinstein Institutes for Medical Research（费森特医学研究所） 纠错

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

Comments Accepted at Interspeech 2025 Code at https://github.com/SiavashShams/neuro2semantic

PlugSelect: Pruning Channels with Plug-and-Play Flexibility for Electroencephalography-based Brain Computer Interface

Xue Yuan, Keren Shi, Ning Jiang, Jiayuan He

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

Geometric Machine Learning on EEG Signals

Benjamin J. Choi

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

Comments Accepted in Proceedings of Machine Learning Research (PMLR), 2025

Towards Optimising EEG Decoding using Post-hoc Explanations and Domain Knowledge

Param Rajpura, Yogesh Kumar Meena

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

Comments 5 pages, 4 figures, 1 table, accepted draft for IEEE EMBC 2024

Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research

Maryna Kapitonova, Tonio Ball

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

Comments 13 pages, 5 figures

Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?

Rishan Mehta, Param Rajpura, Yogesh Kumar Meena

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

Multiagent Copilot Approach for Shared Autonomy between Human EEG and TD3 Deep Reinforcement Learning

Chun-Ren Phang, Akimasa Hirata

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

Comments 14 pages, 6 figures

Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals

Young-Eun Lee, Seo-Hyun Lee, Soowon Kim, Jung-Sun Lee, Deok-Seon Kim, Seong-Whan Lee

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

Comments 5 pages, 2 figures

SSVEP-Based BCI Wheelchair Control System

Ce Zhou

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

Comments 108 pages

EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG

Andac Demir, Iya Khalil, Bulent Kiziltan

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

Novel EEG-based BCIs for Elderly Rehabilitation Enhancement

Aurora Saibene, Francesca Gasparini, Jordi Solé-Casals

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

Journal ref Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2021 co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021) Vol-3108 26-40

Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis

Pranali Kokate, Sidharth Pancholi, Amit M. Joshi

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

Comments 41 Pages, Figures 32, Table 9

Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation

Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon

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

Comments Accepted as a full paper at the 2019 International Conference on Robotics and Automation (ICRA)

Feature Learning from Incomplete EEG with Denoising Autoencoder

Junhua Li, Zbigniew Struzik, Liqing Zhang, Andrzej Cichocki

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

Comments The paper was accepted for publication by Neurocomputing

Journal ref Neurocomputing, 2015, 165: 23-31

Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals

Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang

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

Comments 10 pages

Towards gaze-independent c-VEP BCI: A pilot study

S. Narayanan, S. Ahmadi, P. Desain, J. Thielen

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

Comments 6 pages, 3 figures, 9th Graz Brain-Computer Interface Conference 2024

Journal ref 9th Graz Brain-Computer Interface Conference (2024) 343-348