脑机接口 / BCI

A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery

Ce Zhang, Azim Eskandarian

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

Comments Accepted by 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society, 2020

Navigating in Virtual Reality using Thought: The Development and Assessment of a Motor Imagery based Brain-Computer Interface

Behnam Reyhani-Masoleh, Tom Chau

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

Comments 23 pages, 10 figures

On the assesment of functional connectivity in an immersive brain-computer interface during motor imagery

Myriam Alanis-Espinosa, David Gutiérrez

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

Comments Manuscript under review for Frontiers in Psychology, ID: 491168

Evaluation of a congruent auditory feedback for Motor Imagery BCI

Emmanuel Christophe, Jérémy Frey, Richard Kronland-Martinet, Jean-Arthur Micoulaud-Franchi, Jelena Mladenović, Gaëlle Mougin, Jean Vion-Dury, Solvi Ystad, Mitsuko Aramaki

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

Journal ref International BCI meeting, May 2018, Asilomar, United States. http://bcisociety.org/

Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement

用于脑电图运动想象分类的生成式增强：具有循环一致解码器优化的类条件变分自编码器

Matei Moldoveanu, Alain Sirois, Claire Ben Ali, Fabien Lotte, Florian Yger

机构 * Naqi Logix（纳奇逻辑公司） ； Inria Center at Univ. Bordeaux / LaBRI（波尔多大学/LaBRI研究所的Inria中心） ； LITIS, INSA Rouen-Normandy（鲁昂-诺曼底高等电子与电工技术工程师学校的LITIS实验室） 纠错

专题命中 运动想象 ：EEG(title,summary_cn)；motor imagery(title)；分类 cs.LG

AI总结 研究生成模型能否提供合成MI-EEG试验提高下游分类器准确性，训练带集成潜在分类器的CVAE，在两种评估协议下通过四个分类管道测试，发现合成EEG可提高MDM点估计，增益小且依赖分类器。

Motor Imagery Teleoperation of a Mobile Robot Using a Low-Cost Brain-Computer Interface for Multi-Day Validation

Yujin An, Daniel Mitchell, John Lathrop, David Flynn, Soon-Jo Chung

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

Comments IEEE Telepresence 2024

Phase/amplitude synchronization of brain signals during motor imagery BCI tasks

Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi, Danielle S. Bassett, Gaetano Scarano, Fabrizio De Vico Fallani

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

Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis

Yang Li, Mengying Lei, Xianrui Zhang, Weigang Cui, Yuzhu Guo, Ting-Wen Huang, Hua-Liang Wei

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

MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification

Dingkun Liu, Zhu Chen, Jingwei Luo, Shijie Lian, Dongrui Wu

机构 * Ministry of Education Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology（教育部长图像处理与智能控制重点实验室，人工智能与自动化学院，华中科技大学） ； School of Computer Science and Technology, Huazhong University of Science and Technology（计算机科学与技术学院，华中科技大学） ； Zhongguancun Academy（中关村学院） 纠错

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

Journal ref Knowledge-Based Systems (15 June 2026, vol. 343)

Feature Reweighting for EEG-based Motor Imagery Classification

Taveena Lotey, Prateek Keserwani, Debi Prosad Dogra, Partha Pratim Roy

机构 * Indian Institute of Technology Roorkee（印度理工学院罗尔基分校） ； Indian Institute of Technology Bhubaneswar（印度理工学院布巴内斯瓦尔分校） 纠错

专题命中 运动想象 ：EEG(title,abstract)；motor imagery(title,abstract)；BCI(abstract)；分类 eess.SP、cs.LG、cs.HC

CSP-Net: Common Spatial Pattern Empowered Neural Networks for EEG-Based Motor Imagery Classification

Xue Jiang, Lubin Meng, Xinru Chen, Yifan Xu, Dongrui Wu

专题命中 运动想象 ：EEG(title,abstract)；motor imagery(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG、cs.HC

Journal ref Knowledge Based Systems, 305:112668, 2024

On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface

Sizhen Bian, Pixi Kang, Julian Moosmann, Mengxi Liu, Pietro Bonazzi, Roman Rosipal, Michele Magno

专题命中 运动想象 ：brain-computer interface(title,abstract)；motor imagery(title,abstract)；EEG(abstract)；分类 eess.SP、cs.LG、cs.HC

Bayesian model of individual learning to control a motor imagery BCI

Côme Annicchiarico, Fabien Lotte, Jérémie Mattout

专题命中 运动想象 ：BCI(title,abstract)；motor imagery(title,abstract)；brain-computer interface(abstract,comments)；分类 cs.HC

Comments 9th International Graz Brain-Computer Interface Conference 2024, Sep 2024, Graz, Austria

Characterization of Speech Imagery in Scalp EEG and Comparison with Motor Imagery

头皮脑电中言语想象的特性及其与运动想象的比较

Bob Van Dyck, Liuyin Yang, Qiang Sun, Ang Li, Marc M. Van Hulle

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

AI总结 本研究通过头皮脑电分析言语想象的时空特征，并与手指运动想象对比，发现言语想象呈现更弱、更分散的α波增强，分类准确率较低，表明其主导模式不同于运动想象，更接近非发音任务相关活动。

Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning

Joris Suurmeijer, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea

机构 * Bernoulli Institute, University of Groningen, The Netherlands（格罗宁根大学伯努利研究所） 纠错

专题命中 运动想象 ：BCI(title,abstract)；motor imagery(title,abstract)；brain-computer interface(abstract)；分类 cs.LG

Comments 6 pages, 3 figures; fixed typos

Gamification of Motor Imagery Brain-Computer Interface Training Protocols: a systematic review

Fred Atilla, Marie Postma, Maryam Alimardani

专题命中 运动想象 ：brain-computer interface(title,abstract)；motor imagery(title,abstract)；BCI(abstract)；分类 cs.HC

RLEEGNet: Integrating Brain-Computer Interfaces with Adaptive AI for Intuitive Responsiveness and High-Accuracy Motor Imagery Classification

Sriram V. C. Nallani, Gautham Ramachandran

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

Comments 23 pages, 1 figure, 6 tables

A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm

Navid Ayoobi, Elnaz Banan Sadeghian

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

Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace

Maliheh Miri, Vahid Abootalebi, Hamid Behjat

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

Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI

Jelena Mladenović, Jeremy Frey, Smeety Pramij, Jeremie Mattout, Fabien Lotte

专题命中 运动想象 ：BCI(title,abstract)；motor imagery(title,abstract)；brain-computer interface(abstract)；分类 cs.HC

Comments IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2021

High Aptitude Motor Imagery BCI Users Have Better Visuospatial Memory

Nikki Leeuwis, Maryam Alimardani

专题命中 运动想象 ：BCI(title,abstract)；motor imagery(title,abstract)；brain computer interface(abstract)；分类 cs.HC

Comments Accepted in IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC2020)

Decoding Movement Imagination and Execution from EEG Signals using BCI-Transfer Learning Method based on Relation Network

D. -Y. Lee, J. -H. Jeong, K. -H. Shim, S. -W. Lee

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

Comments 5 pages, accepted by ICASSP 2020

Improving Motor Imagery Based Brain Computer Interfaces Using A Novel Physical Feedback Technique

Mahmoud Haroun, Mohamed Salah

专题命中 运动想象 ：brain computer interface(title,abstract)；motor imagery(title,abstract)；BCI(abstract)；分类 q-bio.NC

Meta-cognitive Multi-scale Hierarchical Reasoning for Motor Imagery Decoding

Si-Hyun Kim, Heon-Gyu Kwak, Byoung-Hee Kwon, Seong-Whan Lee

机构 * Dept. of Artificial Intelligence（人工智能系） ； Korea University（韩国大学） 纠错

专题命中 运动想象 ：motor imagery(title,abstract)；brain-computer interface(abstract,comments)；BCI(abstract)；EEG(abstract)

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

ATCNet-CIAM for Multi-Session Motor Imagery EEG Signal Classification

用于多会话运动想象脑电信号分类的 ATCNet - CIAM

Le Huu Son Hai, Nguyen Chi Hai, Truong Viet Vu, Nguyen Phuc Nguyen, Nguyen Thai Anh, Ngo Hoang Tu

机构 * Faculty of Information Technology, Van Lang School of Technology, Van Lang University（信息技术学院，范朗理工学院，范朗大学） ； Department of Computer Engineering, Ho Chi Minh City University of Transport（胡志明市交通大学计算机工程系） 纠错

专题命中 运动想象 ：motor imagery(title,abstract)；EEG(title)；BCI(abstract,abstract_cn)

AI总结 研究针对运动想象脑电信号分类因个体差异和跨会话非平稳性导致的稳健解码难题，提出将CIAM集成到ATCNet框架的ATCNet - CIAM，实验表明该模型能提升分类稳定性和稳健性，在多数据集上取得较好准确率。

Comments This manuscript has been accepted for publication in the International Conference on Intelligence Systems and Robotics for Sustainable Development (ISRSD) 2026

NeuroPB: Scaling Neural Decoding with Pretrained Behavioral Representations

NeuroPB：利用预训练行为表示扩展神经解码

Luyao Jin, Yonghao Song, Huan Zhao, Vincent C. K. Cheung, Wei-Hsin Liao

专题命中 运动想象 ：neural decoding(title,abstract)；BCI(summary_cn,abstract_cn)；brain-computer interface(abstract)；分类 cs.LG

AI总结 本文提出NeuroPB框架，通过预训练大规模行为表示并对齐有限配对神经-行为数据，提升神经解码性能，在猕猴数据集上R²提升11%与8%，且泛化能力强，为高效BCI提供可行方向。

Intentional binding enhances hybrid BCI control

Tristan Venot, Arthur Desbois, Marie-Constance Corsi, Laurent Hugueville, Ludovic Saint-Bauzel, Fabrizio De Vico Fallani

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

Comments 18 pages, 5 figures, 7 supplementary materials

Generating Ten BCI Commands Using Four Simple Motor Imageries

Nuri Korkan, Tamer Olmez, Zumray Dokur

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

Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space

脑电图运动想象解码中的受试者水平异质性：大规模基准测试和基于组合的搜索空间缩减

Xavier Vasques, Paul Barbaste, Olivier Oullier

专题命中 运动想象 ：EEG(title,abstract)；motor imagery(title,abstract)；分类 q-bio.NC、cs.LG

AI总结 研究脑电图运动想象解码中个体差异问题，通过三个公共数据集进行大规模基准测试，比较多种方法，发现受试者水平存在显著异质性，利用基准构建紧凑流程组合，Top-K均值给出最佳权衡，可利用异质性实现个性化。

Mirror contrastive loss based sliding window transformer for subject-independent motor imagery based EEG signal recognition

Jing Luo, Qi Mao, Weiwei Shi, Zhenghao Shi, Xiaofan Wang, Xiaofeng Lu, Xinhong Hei

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

Comments This paper has been accepted by the Fourth International Workshop on Human Brain and Artificial Intelligence, joint workshop of the 33rd International Joint Conference on Artificial Intelligence, Jeju Island, South Korea, from August 3rd to August 9th, 2024