脑机接口 / BCI - arXivDaily 专题

2004.14185 2020-05-04 eess.SP cs.LG q-bio.NC 82%

Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data

Simon Van Eyndhoven, Patrick Dupont, Simon Tousseyn, Nico Vervliet, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi

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

2002.10988 2020-02-26 eess.AS 82%

An LSTM Based Architecture to Relate Speech Stimulus to EEG

Mohammad Jalilpour Monesi, Bernd Accou, Jair Montoya-Martinez, Tom Francart, Hugo Van Hamme

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

Comments 3 figures, 6 pages

2002.08354 2020-02-20 cs.RO cs.HC cs.NE q-bio.NC 82%

Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots

Neelesh Kumar, Konstantinos P. Michmizos

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

Comments 6 pages, 3 figures, 3 tables. arXiv admin note: text overlap with arXiv:2002.07541

2002.07541 2020-02-20 cs.RO cs.HC cs.NE q-bio.NC 82%

Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots

Neelesh Kumar, Konstantinos P. Michmizos

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

Comments 6 pages, 6 figures, 1 table

2002.01925 2020-02-06 cs.LG eess.SP q-bio.NC 82%

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review

Khansa Rasheed, Adnan Qayyum, Junaid Qadir, Shobi Sivathamboo, Patrick Kwan, Levin Kuhlmann, Terence O'Brien, Adeel Razi

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

1910.10489 2019-10-24 cs.HC eess.SP q-bio.NC 82%

Continuous Emotion Recognition during Music Listening Using EEG Signals: A Fuzzy Parallel Cascades Model

Fatemeh Hasanzadeh, Mohsen Annabestani, Sahar Moghimi

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

1910.09719 2019-10-23 cs.LG cs.HC eess.SP stat.ML 82%

Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening

Panayu Keelawat, Nattapong Thammasan, Masayuki Numao, Boonserm Kijsirikul

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

1710.08269 2019-07-23 stat.AP 82%

A Potts-Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data

Yin Song, Farouk S. Nathoo, Arif Babul

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

1907.05674 2019-07-15 eess.SP cs.HC cs.LG 82%

Deep Learning with ConvNET Predicts Imagery Tasks Through EEG

Apdullah Yayık, Yakup Kutlu, Gökhan Altan

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

Comments 5 pages, 2 figures, springer

1906.07899 2019-06-20 q-bio.NC cs.LG eess.SP 82%

Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm

Tomasz M. Rutkowski, Marcin Koculak, Masato S. Abe, Mihoko Otake-Matsuura

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

Comments In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8578-8582, May 2019

1903.05636 2019-03-15 cs.HC cs.LG eess.SP 82%

A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results

Negin Manshouri, Temel Kayikcioglu

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

1902.01799 2019-02-06 cs.LG cs.HC eess.SP stat.ML 82%

Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals

Seyedroohollah Hosseini, Xuan Guo

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

Comments 4 pages, 3 figures, 4 tables

1812.06594 2018-12-18 q-bio.NC cs.LG eess.SP q-bio.QM stat.ML 82%

Computational EEG in Personalized Medicine: A study in Parkinson's Disease

Sebastian Mathias Keller, Maxim Samarin, Antonia Meyer, Vitalii Kosak, Ute Gschwandtner, Peter Fuhr, Volker Roth

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

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:811.07216

1809.06697 2018-09-19 q-bio.NC cs.LG eess.SP 82%

EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD

Luis Alfredo Moctezuma, Marta Molinas

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

1806.01875 2018-06-07 eess.SP cs.LG q-bio.NC stat.ML 82%

EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball

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

Comments 6 pages, 6 figures

1604.08201 2016-04-28 cs.NE stat.ML 82%

Interpretable Deep Neural Networks for Single-Trial EEG Classification

Irene Sturm, Sebastian Bach, Wojciech Samek, Klaus-Robert Müller

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

Comments 5 pages, 1 figure

1308.5609 2014-01-17 stat.ML 82%

Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis

Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki

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

Journal ref International Journal of Neural Systems, 2014, vol.24, no.2, pp.1450013 (14 pages)

cs/0510083 2009-12-01 cs.AI 82%

Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages

Nizar Kerkeni, Frederic Alexandre, Mohamed Hedi Bedoui, Laurent Bougrain, Mohamed Dogui

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

2510.21969 2025-10-28 eess.SP cs.LG cs.NE 82%

Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification

Weiyu Chen, Arnaud Delorme

机构 * Swartz Center for Computational Neuroscience（斯瓦茨计算神经科学中心）； Institute for Neural Computation（神经计算研究所）； University of California San Diego（加州大学圣地亚哥分校）； The Department of Electronic and Electrical Engineering（电子与电气工程系）； Southern University of Science and Technology（南方科技大学）； Centre de recherche Cerveau et Cognition（脑与认知研究中心）； Paul Sabatier University（保罗·萨巴蒂尔大学）

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

Comments 8 pages, 5 figures. Submitted to IEEE BIBM 2025 Workshop on Machine Learning for EEG Signal Processing (MLESP)

2509.02568 2025-09-04 eess.SP cs.LG 82%

EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration

Mohammad Mehedi Hasan, Pedro G. Lind, Hernando Ombao, Anis Yazidi, Rabindra Khadka

机构 * Department of Computer Science, Oslo Metropolitan University（计算机科学系，奥斯陆 Metropolitan 大学）； King Abdullah University of Science and Technology（国王 Abdullah 科学与技术大学）； Department of Informatics, University of Oslo（信息学系，奥斯陆大学）； Kristiania University of Applied Sciences（Kristiania 应用科学大学）

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

Comments Dementia, EEG, Microstates, Explainable, SHAP

2311.08703 2023-11-16 q-bio.NC cs.HC 82%

Impact of Nap on Performance in Different Working Memory Tasks Using EEG

Gi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak, Ha-Na Jo, Seong-Whan Lee

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

Comments Submitted to 2024 12th IEEE International Winter Conference on Brain-Computer Interface

2311.07868 2023-11-15 cs.LG cs.AI eess.SP 82%

Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography

Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Ha-Na Jo, Seong-Whan Lee

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

Comments Proc. 12th IEEE International Winter Conference on Brain-Computer Interface

2212.05654 2022-12-13 q-bio.NC cs.HC 82%

Changes in Power and Information Flow in Resting-state EEG by Working Memory Process

Gi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak

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

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

2209.11233 2022-10-18 eess.SP cs.LG 82%

Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts

Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Yogatheesan Varatharajah

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

Comments NeurIPS 2022 camera ready version. Code available at https://github.com/neerajwagh/evaluating-eeg-representations. tl;dr - We develop model diagnostic measures to identify failure modes of EEG-ML models before deployment without access to out-of-distribution data. Keywords - dataset shift, EEG, representation learning, robustness, latent space, uncertainty quantification, distribution shift

1801.02476 2018-01-09 eess.SP cs.DB cs.LG stat.ML 82%

Semi-automated Annotation of Signal Events in Clinical EEG Data

Scott Yang, Silvia Lopez, Meysam Golmohammadi, Iyad Obeid, Joseph Picone

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

Comments Published in IEEE Signal Processing in Medicine and Biology Symposium. Philadelphia, Pennsylvania, USA

Journal ref S. Yang, S. Lopez, M. Golmohammadi, I. Obeid and J. Picone, "Semi-automated annotation of signal events in clinical EEG data," 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Philadelphia, PA, 2016, pp. 1-5

1301.6360 2013-05-14 q-bio.NC cs.HC 82%

Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms

M. Chang, N. Nishikawa, Z. R. Struzik, K. Mori, S. Makino, D. Mandic, T. M. Rutkowski

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

Comments Proceedings of the Fifth International Brain-Computer Interface Meeting 2013, 2 pages, 1 figure

2608.14847 2026-08-18 cs.LG 新提交 81%

M-LINKX: Multiview Graph Learning for Brain Cognitive Disease Detection

M-LINKX：用于脑部认知疾病检测的多视图图学习框架

An Phan, Yufei Jin, Xingquan Zhu

机构 * Florida Atlantic University（佛罗里达大西洋大学）

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

AI总结本研究提出多视图图学习框架M-LINKX，通过构建多视图功能连接图并融合表示，在CAUEEG和AHEAP两类EEG数据集的痴呆分类任务中取得最优性能。

Comments Accepted at the 25th IEEE International Conference on Machine Learning and Applications (ICMLA 2026). 8 pages, 5 figures

2608.10647 2026-08-12 cs.HC 新提交 81%

ProtoGIB-Workload: Learning Workload-Specific Neural Topology Prototypes across Subjects

ProtoGIB-Workload：跨被试学习特定工作负载的神经拓扑原型

Yuzhe Zhang, Yixi Zhang, Shengdian Jiang, Chengxi Xie, Jihong Wang, Huan Liu, Man Yao, Minnan Luo, Chao Shen

专题命中 EEG解码：EEG(summary_cn,abstract)；分类 cs.HC

AI总结本文针对EEG工作负载识别中跨被试泛化差的问题，提出ProtoGIB-Workload框架，结合SGIB和CTS实现稳定的神经拓扑原型学习，在多数据集LOSO实验中提升跨被试Macro-F1分数平均5.15%。

2608.05882 2026-08-07 q-bio.NC 新提交 81%

Complexity and Stability of Neural Activity Across Aging and Neurodegenerative Disease

衰老与神经退行性疾病中神经活动的复杂性与稳定性

Junjie Yu, Jianyu Zhang, Zian Pei, Xue Shi, Yumei Liu, Xin Jiang, Quanying Liu, Yi Guo

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

AI总结该研究以EEG为对象，用Wasserstein距离和内在维度分别量化神经活动的稳定性与复杂性，发现健康衰老、轻度认知障碍及阿尔茨海默病的神经表征稳定性与复杂性存在特征性变化，为相关研究提供了新框架。

2608.05966 2026-08-07 cs.HC 新提交 81%

A Modular Workflow for Multimodal Reading Experiments

多模态阅读实验的模块化工作流程

Thomas Krämer, Thomas Kosch, Dagmar Kern, Daniel Hienert

专题命中 EEG解码：EEG(summary_cn,abstract)；分类 cs.HC

AI总结该研究提出一种基于网络的模块化工作流程，整合眼动、EEG等多模态数据，可适配不同实验设置，用于在线阅读的多模态研究，支持生态情境下的实证验证。

Comments In Proceedings of the 30th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems

1. EEG解码 3883 篇

Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data

An LSTM Based Architecture to Relate Speech Stimulus to EEG

Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots

Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review

Continuous Emotion Recognition during Music Listening Using EEG Signals: A Fuzzy Parallel Cascades Model

Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening

A Potts-Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data

Deep Learning with ConvNET Predicts Imagery Tasks Through EEG

Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm

A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results

Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals

Computational EEG in Personalized Medicine: A study in Parkinson's Disease

EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD

EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

Interpretable Deep Neural Networks for Single-Trial EEG Classification

Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis

Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages

Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification

EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration

Impact of Nap on Performance in Different Working Memory Tasks Using EEG

Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography

Changes in Power and Information Flow in Resting-state EEG by Working Memory Process

Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts

Semi-automated Annotation of Signal Events in Clinical EEG Data

Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms

M-LINKX: Multiview Graph Learning for Brain Cognitive Disease Detection

ProtoGIB-Workload: Learning Workload-Specific Neural Topology Prototypes across Subjects

Complexity and Stability of Neural Activity Across Aging and Neurodegenerative Disease

A Modular Workflow for Multimodal Reading Experiments