脑机接口 / BCI

High-performance cVEP-BCI under minimal calibration

Yining Miao, Nanlin Shi, Changxing Huang, Yonghao Song, Xiaogang Chen, Yijun Wang, Xiaorong Gao

专题命中 BCI数据与评测 ：BCI(title,abstract)；brain-computer interface(abstract)；分类 q-bio.NC、eess.SP、cs.HC

Comments 35 pages, 5 figures

A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface

Jingcong Li, Fei Wang, Haiyun Huang, Feifei Qi, Jiahui Pan

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 eess.SP、cs.LG、cs.HC

Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition

Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou

专题命中 BCI数据与评测 ：EEG(title,abstract)；motor imagery(abstract)；分类 eess.SP、cs.LG、cs.HC

Student Teaching and Research Laboratory Focusing on Brain-computer Interface Paradigms - A Creative Environment for Computer Science Students -

Tomasz M. Rutkowski

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 q-bio.NC、cs.HC、cs.RO

Comments 4 pages, 4 figures, accepted for EMBC 2015, IEEE copyright

Zero-calibration cVEP BCI using word prediction: a proof of concept

Federica Turi, Nathalie Gayraud, Maureen Clerc

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

Comments BCI 2018 - 7th International BCI Meeting, May 2018, Pacific Grove, California, United States

Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees

D Hübner, T Verhoeven, K Schmid, K-R Müller, M Tangermann, P-J Kindermans

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

Comments The EEG data of 13 subjects is freely available online at: http://doi.org/10.5281/zenodo.192684

Transfer Learning in Brain-Computer Interfaces

Vinay Jayaram, Morteza Alamgir, Yasemin Altun, Bernhard Schölkopf, Moritz Grosse-Wentrup

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

Comments To be published in IEEE Computational Intelligence Magazine, special BCI issue on January 15th online

Airborne Ultrasonic Tactile Display BCI

Katsuhiko Hamada, Hiromu Mori, Hiroyuki Shinoda, Tomasz M. Rutkowski

专题命中 BCI数据与评测 ：BCI(title,abstract)；brain computer interface(abstract)；分类 q-bio.NC、cs.HC；brain-computer interface(journal_ref)

Comments arXiv admin note: substantial text overlap with arXiv:1404.4184

Journal ref Brain-Computer Interface Research - A State-of-the-Art Summary 4. SpringerBriefs in Electrical and Computer Engineering. 2015. p. 57-65

Airborne Ultrasonic Tactile Display Brain-computer Interface Paradigm

Katsuhiko Hamada, Hiromu Mori, Hiroyuki Shinoda, Tomasz M. Rutkowski

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

Comments 5 pages, 3 figures, submitted to 6th International Brain-Computer Interface Conference 2014, Graz, Austria

SSAS: Cross-subject EEG-based Emotion Recognition through Source Selection with Adversarial Strategy

SSAS: 通过对抗策略进行源选择的跨主体基于EEG的情感识别

Yici Liu, Qi Wei Oung, Hoi Leong Lee

专题命中 BCI数据与评测 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG

AI总结 本文提出一种通过源选择与对抗策略进行的跨主体基于EEG的情感识别方法，旨在解决个体间变异性及负迁移问题，提升分类性能。

Comments Accepted by Expert Systems With Applications

HEDN: A Hard-Easy Dual Network with Source Reliability Assessment for Cross-Subject EEG Emotion Recognition

HEDN：一种具有源可靠性评估的硬易双网络用于跨受体EEG情绪识别

Qiang Wang, Liying Yang, Jiayun Song, Yifan Bai, Jingtao Du

机构 * School of Computer Science and Technology, Xidian University（电子科技大学计算机科学与技术学院） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 cs.LG、cs.HC

AI总结 HEDN通过引入源可靠性评估机制，提出了一种轻量级的多源域适应框架，有效提升跨受体EEG情绪识别的性能与效率。

Comments This work has been submitted to the IEEE for possible publication

Cross-Subject and Cross-Montage EEG Transfer Learning via Individual Tangent Space Alignment and Spatial-Riemannian Feature Fusion

Nicole Lai-Tan, Xiao Gu, Marios G. Philiastides, Fani Deligianni

机构 * UKRI Centre for Doctoral Training in Socially Intelligent Artificial Agents（UKRI社会智能人工代理博士培训中心） ； EPSRC（工程与物理科学研究委员会） ； Academy of Medical Sciences（医学科学院） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG

Comments 12 pages, 5 figures

Tailoring deep learning for real-time brain-computer interfaces: From offline models to calibration-free online decoding

Martin Wimpff, Jan Zerfowski, Bin Yang

机构 * Institute of Signal Processing and System Theory, University of Stuttgart（信号处理与系统理论研究所，斯图加特大学） ； Clinical Neurotechnology Laboratory, Department of Psychiatry and Neurosciences, Charité Campus Mitte (CCM), Charité - Universitätsmedizin Berlin（临床神经技术实验室，精神病学与神经科学系，Charité-柏林大学医学院） 纠错

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.LG、cs.HC

M3D: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition

Ting Luo, Jing Zhang, Yingwei Qiu, Li Zhang, Yaohua Hu, Zhuliang Yu, Zhen Liang

机构 * School of Biomedical Engineering, Medical School, Shenzhen University（生物医学工程学院，医学学院，深圳大学） ； School of Public Health, Shenzhen University Medical School（公共卫生学院，深圳大学医学学院） ； Department of Radiology, Nanshan Hospital of Shenzhen University（放射科，深圳大学南山医院） ； School of Mathematical Sciences, Shenzhen University（数学科学学院，深圳大学） ； Shien-Ming Wu School of Intelligent Engineering, South China University of Technology（申明武智能工程学院，华南理工大学） ； Institute for Super Robotics, Guangzhou, Guangdong, China（超机器人研究所，广州，广东，中国） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 cs.LG、cs.HC

Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data

Christian Flores, Marcelo Contreras, Ichiro Macedo, Javier Andreu-Perez

专题命中 BCI数据与评测 ：BCI(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG

Journal ref IEEE Trans Neural Syst Rehabil Eng. 2024;32:3794-3803

Source Data Selection for Brain-Computer Interfaces based on Simple Features

Frida Heskebeck, Carolina Bergeling, Bo Bernhardsson

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；motor imagery(abstract)；分类 cs.LG、cs.HC

Comments 10 pages, 3 figures, This work has been submitted to the IEEE for possible publication

BDAN: Mitigating Temporal Difference Across Electrodes in Cross-Subject Motor Imagery Classification via Generative Bridging Domain

Zhige Chen, Rui Yang, Mengjie Huang, Chengxuan Qin, Zidong Wang

专题命中 BCI数据与评测 ：motor imagery(title,abstract)；EEG(abstract)；分类 cs.LG、cs.HC

Emotion Detection from EEG using Transfer Learning

Sidharth Sidharth, Ashish Abraham Samuel, Ranjana H, Jerrin Thomas Panachakel, Sana Parveen K

专题命中 BCI数据与评测 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG

Comments Preprint of the manuscript accepted for presentation in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. DOI will be updated soon

Journal ref 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space

Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.LG、cs.HC

Comments draft submission

Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces

Jan Sosulski, Michael Tangermann

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 q-bio.NC、cs.LG

Comments Updated references, changed layout

BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation

Tommy Hosman, Marco Vilela, Daniel Milstein, Jessica N. Kelemen, David M. Brandman, Leigh R. Hochberg, John D. Simeral

专题命中 BCI数据与评测 ：BCI(title)；brain computer interface(abstract)；cortical(abstract)；分类 cs.LG、cs.HC

Comments Accepted for the 9th International IEEE EMBS Conference on Neural Engineering

The Influence of Decoding Accuracy on Perceived Control: A Simulated BCI Study

Pouyan R. Fard, Moritz Grosse-Wentrup

专题命中 BCI数据与评测 ：BCI(title,abstract)；brain-computer interface(abstract)；分类 q-bio.NC、cs.HC

ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding

ASPEN：跨受试者脑解码的频谱-时间融合

Megan Lee, Seung Ha Hwang, Inhyeok Choi, Shreyas Darade, Mengchun Zhang, Kateryna Shapovalenko

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Kyung Hee University（Kyung Hee大学） ； Korea Advanced Institute of Science and Technology（韩国科学技术院） ； University of Pittsburgh（匹兹堡大学） 纠错

专题命中 BCI数据与评测 ：brain-computer interface(abstract)；EEG(abstract)；neural signal(abstract)；motor imagery(abstract)

AI总结 ASPEN通过频谱-时间融合实现跨受试者脑解码，利用乘法融合提升跨模态一致性，有效提升未见受试者准确率。

PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition

PRISM: 基于优先级通道重要性与半监督域适应的跨被试脑电情绪识别

Xin Zhou, Xiang Zhang, Hao Deng, Lijun Yin

机构 * School of Computing, T. J Watson College of Engineering and Applied Science, Binghamton University - State University of New York（计算学院、T.J Watson工程与应用科学学院、宾夕法尼亚州立大学宾夕法尼亚州立大学） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG

AI总结 提出PRISM框架，通过可微分通道加权和置信度过滤伪标签的半监督域适应，解决脑电情绪识别中的通道冗余和跨被试差异问题，在三个数据集上超越现有方法。

Toward Robust, Reproducible, and Widely Accessible Intracranial Language Brain-Computer Interfaces: A Comprehensive Review of Neural Mechanisms, Hardware, Algorithms, Evaluation, Clinical Pathways and Future Directions

迈向稳健、可重复和广泛可及的颅内语言脑机接口：神经机制、硬件、算法、评估、临床路径及未来方向的综合性综述

Dongyi He, Wai Ting Siok, Nizhuan Wang

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；neural decoding(abstract)；分类 q-bio.NC

AI总结 综述探讨了颅内语言脑机接口在恢复严重运动和语言障碍患者交流中的潜力，分析了神经机制、硬件、算法等核心方法，并提出未来发展方向。

CRCC: Contrast-Based Robust Cross-Subject and Cross-Site Representation Learning for EEG

CRCC: 基于对比的跨受试者和跨站点表示学习

Xiaobin Wong, Zhonghua Zhao, Haoran Guo, Zhengyi Liu, Yu Wu, Feng Yan, Zhiren Wang, Sen Song

机构 * Tsinghua Laboratory of Brain（清华大学脑科学实验室） ； School of Biomedical Engineering, Tsinghua University（清华大学生物医学工程学院） ； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； University of Chinese Academy of Sciences（中国科学院大学） ； Weixian College, Tsinghua University（清华大学魏先学院） ； School of Artificial Intelligence, Beijing University of Posts（北京邮电大学人工智能学院） ； School of Computer Science（计算机科学学院） ； Technology, Northwestern Polytechnical University, Xi'an, China（技术，西北工业大学，西安，中国） ； Beijing Huilongguan Hospital, Capital Medical University（北京回龙观医院，首都医科大学） ； Peking University Huilongguan Clinical Medical School（北京大学回龙观临床医学院） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；neural decoding(abstract)；分类 q-bio.NC

AI总结 CRCC通过对比学习和对抗优化提升跨站点EEG表示学习的泛化能力，实现10.7个百分点的准确率提升。

Comments First edition

A New Generation of Brain-Computer Interface Based on Riemannian Geometry

基于黎曼几何的新一代脑机接口

Marco Congedo, Alexandre Barachant, Anton Andreev

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

AI总结 基于黎曼几何的新一代BCI框架，无需训练即可快速适应用户，具备跨会话和跨受试者泛化能力，适用于多种BCI信号类型。

Comments 33 pages, 9 Figures, 17 equations/algorithms

SDC-Net: A Domain Adaptation Framework with Semantic-Dynamic Consistency for Cross-Subject EEG Emotion Recognition

Jiahao Tang, Youjun Li, Xiangting Fan, Yangxuan Zheng, Siyuan Lu, Xueping Li, Peng Fang, Chenxi Li, Zi-Gang Huang

专题命中 BCI数据与评测 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 cs.HC

When Brain-Computer Interfaces Meet the Metaverse: Landscape, Demonstrator, Trends, Challenges, and Concerns

Sergio López Bernal, Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Gregorio Martínez Pérez, Alberto Huertas Celdrán

专题命中 BCI数据与评测 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

SDA-DDA Semi-supervised Domain Adaptation with Dynamic Distribution Alignment Network For Emotion Recognition Using EEG Signals

Jiahao Tang

专题命中 BCI数据与评测 ：EEG(title,abstract)；brain-computer interface(abstract)；分类 cs.HC