脑机接口 / BCI

Impact of EEG biofeedback on event-related potentials (ERPs) in attention-deficit hyperactivity (ADHD) children

Sophio Bakhtadze, Marine Janelidze, Nana Khachapuridze

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

Comments 31 pages, 4 tables, 10 figures

Nonlinear aspects of the EEG during sleep in children

Matthew J. Berryman, Scott W. Coussens, Yvonne Pamula, Declan Kennedy, Kurt Lushington, Cosma Shalizi, Andrew Allison, A. James Martin, David Saint, Derek Abbott

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

Comments 9 pages, 2 figures, 4 tables

Journal ref Proc. SPIE: Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems, Austin, Texas, USA, May 24-26, 2005, vol. 5841, pp. 40-48

Zwanzig-Mori projection operators and EEG dynamics: deriving a simple equation of motion

David Hsu, Murielle Hsu

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

Comments Revised, e-published Jul 13, 2009

Journal ref PMC Biophysics 2009; 2:6

Mental States as Macrostates Emerging from EEG Dynamics

Carsten Allefeld, Harald Atmanspacher, Jiri Wackermann

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

Comments corrected typos, added journal reference

Journal ref published as: Mental states as macrostates emerging from brain electrical dynamics. Chaos, 19(1):015102, 2009

Filter Out High Frequency Noise in EEG Data Using The Method of Maximum Entropy

Chih-Yuan Tseng, HC Lee

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

Comments 8 pages and 1 figure. Presened at the 27rd International workshop on Bayesian Inference and Maximum Entropy Methods in science and ngineering, July 8-13, 2007, Saratoga Springs, NY, USA

Journal ref Bayesian Inference and Maximum entropy methods in Science and Engineering, ed. by K. Knuth, A. Caticha, J. L. Center, A. Giffin, and C. C. Rodriguez, AIP Conf. Proc 954, 386 (2007)

Some Theoretical Investigations in EEG Studies

I. Mitra

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

Comments 12 pages

Activity-dependent brain model explaining EEG spectra

Lucilla de Arcangelis, Hans J. Herrmann, Carla Perrone-Capano

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

Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks

Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim

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

Comments 4 pages, 3 figures, 1 table, Name of Conference: International Winter Conference on Brain-Computer Interface

HappyQuokka System for ICASSP 2023 Auditory EEG Challenge

Zhenyu Piao, Miseul Kim, Hyungchan Yoon, Hong-Goo Kang

专题命中 EEG解码 ：EEG(title,abstract)

Comments First Place in Task 2 of Auditory EEG decoding Challenge, which is part of ICASSP Signal Processing Grand Challenge (SPGC) 2023

Difficulties applying recent blind source separation techniques to EEG and MEG

Kevin H. Knuth

专题命中 EEG解码 ：EEG(title,abstract)

Comments 14 pages, 5 figures; Knuth K. H. 1998. Difficulties applying recent blind source separation techniques to EEG and MEG. In: G.J. Erickson, J.T. Rychert and C.R. Smith (eds.), Maximum Entropy and Bayesian Methods, Boise 1997, Kluwer, Dordrecht, pp. 209-222

ERP-XTTN: Interpretable Prototype-Guided Cross-Attention for Cross-Subject ERP Classification

ERP-XTTN: 可解释的原型引导跨注意力用于跨被试ERP分类

Charlotte Genevier Wyman, Leanne Hirshfield

机构 * University of Colorado Boulder（科罗拉多大学波得尔分校） 纠错

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

AI总结 提出ERP-XTTN，一种基于原型引导跨注意力的架构，在无需校准的跨被试条件下实现可解释的ERP分类，并揭示分类错误的神经生理学原因。

Advancing Brainwave Modeling with a Codebook-Based Foundation Model

Konstantinos Barmpas, Na Lee, Yannis Panagakis, Dimitrios A. Adamos, Nikolaos Laskaris, Stefanos Zafeiriou

机构 * Imperial College London（帝国理工学院伦敦分校） ； Cogitat ； National and Kapodistrian University of Athens（国家与资本主义大学雅典分校） ； Archimedes Research Unit（阿奇米德研究单位） ； Aristotle University of Thessaloniki（亚里士多德大学塞萨洛尼基分校） 纠错

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

Neuro-Informed Joint Learning Enhances Cognitive Workload Decoding in Portable BCIs

Xiaoxiao Yang, Chao Feng, Jiancheng Chen

机构 * Peiyang Brain-Computer Interface & Smart Health Inst.（坪洋脑机接口与智能健康研究所） 纠错

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

Comments 2 pages short paper

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems

Bikash K. Behera, Saif Al-Kuwari, Ahmed Farouk

机构 * Bikash’s Quantum (OPC) Pvt. Ltd.（Bikash的量子（OPC）私人有限公司） ； Qatar Center for Quantum Computing（卡塔尔量子计算中心） ； College of Science and Engineering, Hamad Bin Khalifa University（哈马德·本·卡西姆大学科学与工程学院） ； Department of Computer Science, Faculty of Computers and Artificial Intelligence, Hurghada University（胡尔加达大学计算机科学系，计算机与人工智能学院） 纠错

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

Comments 12 pages, 7 Figures, 7 Tables

PHemoNet: A Multimodal Network for Physiological Signals

Eleonora Lopez, Aurelio Uncini, Danilo Comminiello

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

Comments The paper has been accepted at RTSI 2024

ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals

Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Anne-Mei Bessas

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

High Performance P300 Spellers Using GPT2 Word Prediction With Cross-Subject Training

Nithin Parthasarathy, James Soetedjo, Saarang Panchavati, Nitya Parthasarathy, Corey Arnold, Nader Pouratian, William Speier

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

Deep Learning Architecture for Motor Imaged Words

Vimal W, Akshansh Gupta

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

Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning

Umang Goenka, Param Patil, Kush Gosalia, Aaryan Jagetia

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

Comments Paper presented in IEEE 23rd International Conference on Information Reuse and Integration for Data Science

DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis

Raika Karimi, Arash Mohammadi, Amir Asif, Habib Benali

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

Towards the Classification of Error-Related Potentials using Riemannian Geometry

Yichen Tang, Jerry J. Zhang, Paul M. Corballis, Luke E. Hallum

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

Comments 4 pages, 3 figures, 1 table, submitted to and accepted by the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), this is the accepted version

Detecting Driver's Distraction using Long-term Recurrent Convolutional Network

Chang Wei Tan, Mahsa Salehi, Geoffrey Mackellar

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

Comments 3 pages 2 figures

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials

Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel

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

Comments Accepted for publication at the Journal of Neural Engineering

Automated Classification of Hand-grip action on Objects using Machine Learning

Anju Mishra, Shanu Sharma, Sanjay Kumar, Priya Ranjan, Amit Ujlayan

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

Comments This is a report on an ongoing project

Transferring Subspaces Between Subjects in Brain-Computer Interfacing

Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller

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

Journal ref W. Samek, F. C. Meinecke and K-R. Müller, Transferring Subspaces Between Subjects in Brain-Computer Interfacing, IEEE Transactions on Biomedical Engineering, 2013

Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals

Xiran Xu, Bo Wang, Boda Xiao, Yadong Niu, Yiwen Wang, Xihong Wu, Jing Chen

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

Journal ref Xu, X., Wang, B., Xiao, B., Niu, Y., Wang, Y., Wu, X., Cheng, H., Chen, J., 2026. The impacts of temporal autocorrelations on EEG decoding. Biomed. Signal Process. Control 113, 108783

Real-Time EEG Cap Electrode Detection for Guided Point-of-Care Placement

用于即时护理放置引导的实时脑电图帽电极检测

William Lehn-Schiøler, Mads Sverker Nilsson, Nicki Skafte Detlefsen

专题命中 EEG解码 ：EEG(title,abstract)

AI总结 该研究提出两阶段视觉系统，用单类YOLO检测器定位脑电图帽电极，经几何阶段验证位置。通过留一法交叉验证评估，介绍了不同帽尺寸及增强方法对检测的影响，还提及骨干网络保持实时吞吐量，能实时检测并验证电极位置。

Comments Preprint. 13 pages, 7 figures, 4 tables

FSDBN: Foreground-Aware EEG-Visual Alignment via Dynamic Brain Networks

FSDBN：通过动态脑网络实现前景感知的脑电图-视觉对齐

Yiheng Liu, Chuhang Zheng, Peiliang Gong, Jingtao Liu, Daoqiang Zhang, Qi Zhu

机构 * College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics（人工智能学院，南京航空航天大学） 纠错

专题命中 EEG解码 ：EEG(title,abstract)

AI总结 研究基于脑电图的视觉解码问题，提出FSDBN框架，通过语义一致显著对齐和语义先验动态门控前景融合，结合自适应时空脑网络建模，实现前景感知的脑电图-视觉对齐，在零样本脑到图像检索实验中取得优异成绩。

Decoding EEG Signals to Explore Next-Word Predictability in the Human Brain

解码脑电信号以探索人类大脑中的下一个单词可预测性

Boi Mai Quach, Binh T. Nguyen, Cathal Gurrin, Graham Healy

机构 * Dublin City University（都柏林城市大学） ； VNUHCM – University of Science（越南国立大学胡志明市科学大学） 纠错

专题命中 EEG解码 ：EEG(title,abstract)

AI总结 该研究利用脑电图探索大脑中单词可预测性的神经机制，重点关注N400时间窗口内不同词汇和语法类别情况。发现实词N400差异更明显，动词差异大于名词，名词可预测性信息更独特，且解码技术在捕捉认知过程表征上比传统分析更有效。

Encoding EEG Signals to Examine Human-Like Next-Word Prediction Behaviour in Language Models

编码脑电信号以研究语言模型中类人下一个单词预测行为

Boi Mai Quach, Binh T. Nguyen, Cathal Gurrin, Graham Healy

机构 * Dublin City University（都柏林城市大学） ； VNUHCM – University of Science（越南国立大学胡志明市科学大学） 纠错

专题命中 EEG解码 ：EEG(title,abstract)

AI总结 研究探讨语言模型下一词预测准确率与人类阅读理解认知信号的关系，基于两种信息度量为人类和模型生成回归器预测脑电信号的事件相关电位，发现只有意外性与语言处理电位相关，挑战了模型参数和预算增加必改善与人类语言处理收敛的假设。