脑机接口 / BCI

Temporal EigenPAC for dyslexia diagnosis

Nicolás Gallego-Molina, Marco Formoso, Andrés Ortiz, Francisco J. Martínez-Murcia, Juan L. Luque

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

OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments

Moein Razavi, Vahid Janfaza, Takashi Yamauchi, Anton Leontyev, Shanle Longmire-Monford, Joseph Orr

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

Comments 16 pages, 5 figures, 5 tables

Is the brain macroscopically linear? A system identification of resting state dynamics

Erfan Nozari, Maxwell A. Bertolero, Jennifer Stiso, Lorenzo Caciagli, Eli J. Cornblath, Xiaosong He, Arun S. Mahadevan, George J. Pappas, Dani Smith Bassett

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

Frequency Superposition -- A Multi-Frequency Stimulation Method in SSVEP-based BCIs

Jing Mu, David B. Grayden, Ying Tan, Denny Oetomo

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

Comments 4 pages, 5 figures. This work has been accepted for publication in the 2021 IEEE EMBC

Multi-Frequency Canonical Correlation Analysis (MFCCA): A Generalised Decoding Algorithm for Multi-Frequency SSVEP

Jing Mu, Ying Tan, David B. Grayden, Denny Oetomo

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

Comments 4 pages, 6 figures. This work has been accepted for publication in the 2021 IEEE EMBC

Sleep syndromes onset detection based on automatic sleep staging algorithm

Tim Cvetko, Tinkara Robek

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

Comments 12 pages, 3 figures

Markov-Switching State-Space Models with Applications to Neuroimaging

David Degras, Chee-Ming Ting, Hernando Ombao

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

REPAC: Reliable estimation of phase-amplitude coupling in brain networks

Giulia Cisotto

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

Journal ref 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology

Yurui Ming

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

Staging Epileptogenesis with Deep Neural Networks

Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch

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

Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface

Young-Eun Lee, Minji Lee, Seong-Whan Lee

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

Comments Submitted to IEEE International Conference on System, Man, and Cybernetics (SMC 2020)

Decoding Imagined Speech using Wavelet Features and Deep Neural Networks

Jerrin Thomas Panachakel, A. G. Ramakrishnan, A. G. Ramakrishnan

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

Comments Preprint of the paper presented in 2019 IEEE 16th India Council International Conference (INDICON). arXiv admin note: substantial text overlap with arXiv:2003.09374

Classification of Perceived Human Stress using Physiological Signals

Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci

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

Comments Accepted for publication in EMBC 2019

Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters

Andreas Meinel, Henrich Kolkhorst, Michael Tangermann

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

Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity

Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer, Leonard Weydemann, Heinrich Garn, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Markus Waser, Dieter Grossegger, Pengfei Zhang, Georg Dorffner, Stephen Roberts

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

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216

Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis

Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos

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

Comments 20 pages, 3 figures

Modeling Brain Connectivity with Graphical Models on Frequency Domain

Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando Ombao

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

Deep Architectures for Automated Seizure Detection in Scalp EEGs

Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah, Silvia Lopez de Diego, Iyad Obeid, Joseph Picone

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

Comments nder review in International Conference on Machine Learning, Stockholm, Sweden

Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures

Meysam Golmohammadi, Amir Hossein Harati Nejad Torbati, Silvia Lopez de Diego, Iyad Obeid, Joseph Picone

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

Comments Under review in Journal of Clinical Neurophysiology

Macroscopic and Microscopic Spectral Properties of Multilayer Brain Networks during Local and Global Synchronization

Vladimir A. Maksimenko, Annika Lüttjohann, Vladimir V. Makarov, Mikhail V. Goremyko, Alexey A. Koronovskii, Anastasia E. Runnova, Gilles van Luijtelaar, Alexander E. Hramov, Stefano Boccaletti

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

Journal ref Phys. Rev. E 96, 012316 (2017)

Information-Theoretic Analysis of Refractory Effects in the P300 Speller

Vaishakhi Mayya, Boyla Mainsah, Galen Reeves

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

Explorative Data Analysis for Changes in Neural Activity

Duncan A. J. Blythe, Frank C. Meinecke, Paul von Buenau, Klaus-Robert Mueller

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

TiA -- Documentation of TOBI Interface A

Christian Breitwieser, Christoph Eibel

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

Segmented Continuous Optimization

函数连续分解

Teymur Aghayev

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

AI总结 本文提出FCD框架，通过参数连续优化对时间序列进行分解，提升信号分析和机器学习性能。

Comments 6 pages, 4 figures, 3 tables

Sign in the Air to Unlock: An Interface for authentication in Virtual and Augmented Reality Powered by Point-Voxel Cross-Attention Network

空中签名解锁：基于点-体素交叉注意力网络的虚拟与增强现实认证接口

Neda Abdolrahimi, Thiru Siddharth, Frank Sicong chen, Vir V Phoha

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

AI总结 提出一种空中签名认证接口，利用点-体素交叉注意力网络（PV-Net）建模3D轨迹的局部运动与全局结构，在公开和自建数据集上实现低错误率，支持沉浸式环境中的自然交互认证。

Comments Changed the 2nd co-author name from FRank Sicongchen to Frank Sicong chen

Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts

设备护照：使时空预训练模型能够跨输入布局泛化

Geeling Chau, Ran Liu, Juri Minxha, Wenhui Cui, Erdrin Azemi, Ellen L. Zippi, Behrooz Mahasseni, Christopher M. Sandino

机构 * California Institute of Technology（加州理工学院） ； Apple（苹果公司） 纠错

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

AI总结 针对新设备布局缺乏大规模数据集的问题，提出Device Passport通道嵌入技术，通过功能活动与元数据混合建模，实现跨布局迁移，在耳部脑电图等任务中优于基线。

Comments Workshop on Structured Data for Health, ICML 2026

Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels

面向噪声标签的多源领域泛化睡眠分期研究

Kening Wang, Di Wen, Yufan Chen, Ruiping Liu, Junwei Zheng, Jiale Wei, Kailun Yang, Rainer Stiefelhagen, Kunyu Peng

机构 * Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） ； ETH Zurich（苏黎世联邦理工学院） ； Hunan University（湖南大学） 纠错

专题命中 EEG解码 ：EEG(abstract)；分类 cs.LG、cs.RO

AI总结 本文提出FF-TRUST框架，通过联合时间-频率早期学习正则化提升噪声标签下的睡眠分期鲁棒性，实验显示在多个数据集上取得最佳性能。

Comments The benchmark and code will be made publicly available at https://github.com/KNWang970918/FF-TRUST.git

ULW-SleepNet: An Ultra-Lightweight Network for Multimodal Sleep Stage Scoring

ULW-SleepNet: 一种超轻量级的多模态睡眠阶段评分网络

Zhaowen Wang, Dongdong Zhou, Qi Xu, Fengyu Cong, Mohammad Al-Sa'd, Jenni Raitoharju

机构 * School of Computer Science and Technology, Dalian University of Technology（大连理工大学计算机科学与技术学院） ； Faculty of Information Technology, University of Jyväskylä（于韦斯屈莱大学信息科技学院） ； Key Laboratory of Social Computing and Cognitive Intelligence, Ministry of Education（教育部社会计算与认知智能重点实验室） ； School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology（大连理工大学生物医学工程学院） ； Department of Computing Sciences, Tampere University（塔尔库大学计算机科学系） ； Faculty of Medicine, University of Helsinki（赫尔辛基大学医学学院） 纠错

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

AI总结 ULW-SleepNet通过轻量级多模态网络实现高效睡眠阶段评分，参数减少达98.6%且保持高准确率，适用于实时睡眠监测。

Comments Accepted to ICASSP 2026

sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals

sleep2vec：用于异构夜间生物信号的统一跨模态对齐

Weixuan Yuan, Zengrui Jin, Yichen Wang, Donglin Xie, Ziyi Ye, Chao Zhang, Xuesong Chen

机构 * Five Seasons Medical（五 Seasons 医疗） ； Tsinghua University（清华大学） ； Beijing Key Laboratory for Sleep Breathing Disorder（北京睡眠呼吸障碍重点实验室） ； Peking University（北京大学） ； Fudan University（复旦大学） ； Technical University of Munich（慕尼黑技术大学） 纠错

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

AI总结 sleep2vec通过统一跨模态对齐和原理化缩放，实现了对异构夜间生物信号的高效、通用建模。

CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion Recognition

CMCRD：跨模态对比表示蒸馏用于情绪识别

Siyuan Kan, Huanyu Wu, Zhenyao Cui, Fan Huang, Xiaolong Xu, Dongrui Wu

机构 * Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology（图像处理与智能控制重点实验室、教育部、自动化学院、华中科技大学） ； Wuhan Institute of Digital Engineering（武汉数字工程研究所） ； Shanghai Jiao Tong University（上海交通大学） 纠错

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

AI总结 CMCRD通过跨模态对比表示蒸馏提升情绪识别准确性，减少多模态数据需求，实验表明在EEG和眼动数据间相互辅助训练可提高分类准确率约6.2%。

Journal ref IEEE Trans. on Affective Computing, 2026