脑机接口 / BCI - arXivDaily 专题

2311.16109 2023-11-29 cs.CV cs.AI cs.HC cs.LG 87%

Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of Datasets

Pierre Guetschel, Michael Tangermann

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

Comments Keywords: EEG, BCI, Motor Imagery, Deep Learning, Transfer Learning, Cross-Dataset. 3 figures, 2 tables

2507.21037 2026-03-26 cs.LG 87%

When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding

当脑基础模型遇见柯西-施瓦茨散度：一种跨受体运动想象解码的新框架

Jinzhou Wu, Baoping Tang, Qikang Li, Yi Wang, Cheng Li, Shujian Yu

机构 * State Key Laboratory of Mechanical Transmission, College of Mechanical and Vehicle Engineering, Chongqing University（机械传动国家重点实验室，重庆大学）

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

AI总结本文提出一种新的多源域适应框架，利用预训练的脑基础模型进行动态源受体选择，并结合柯西-施瓦茨散度实现特征和决策层面对齐，以提高跨受体运动想象解码的准确率。

Comments This work has been submitted to Elsevier for possible publication

2507.09882 2025-08-06 cs.LG 87%

AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications

Jiamin Wu, Zichen Ren, Junyu Wang, Pengyu Zhu, Yonghao Song, Mianxin Liu, Qihao Zheng, Lei Bai, Wanli Ouyang, Chunfeng Song

机构 * Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）； The Chinese University of Hong Kong（香港中文大学）； Tsinghua University（清华大学）； North China Electric Power University（华北电力大学）

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；EEG(abstract)；neural decoding(abstract)

2112.09243 2022-02-08 cs.HC cs.AI cs.LG eess.SP 87%

Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface

Dong-Kyun Han, Serkan Musellim, Dong-Young Kim, Ji-Hoon Jeong

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

Comments Submitted to 2022 10th IEEE International Winter Conference on Brain-Computer Interface

2404.15350 2024-04-25 eess.SP cs.HC cs.LG 87%

Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface

Anupam Sharma, Krishna Miyapuram

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

Comments Accepted in IJCNN 2024

2202.09559 2023-07-27 cs.CV cs.AI 87%

Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework

Zhengqing Miao, Xin Zhang, Carlo Menon, Yelong Zheng, Meirong Zhao, Dong Ming

专题命中 BCI数据与评测：motor imagery(title,abstract)；BCI(abstract)；brain computer interface(abstract)；EEG(abstract)

Comments 17 pages, 5figures

2209.03789 2022-09-09 eess.SP cs.LG q-bio.NC 87%

Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance

Maciej Śliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova

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

2111.12071 2021-11-26 eess.SP cs.HC cs.LG 87%

Minimizing subject-dependent calibration for BCI with Riemannian transfer learning

Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs

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

Comments 4 pages, 2 figures, 1 table, Conference on Neural Engineering

1904.11950 2019-04-29 eess.SP cs.AI cs.HC cs.LG 87%

Attention-based Transfer Learning for Brain-computer Interface

Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang

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

Comments In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019, 12 - 17 May, 2019, Brighton, UK

1808.05464 2019-04-03 cs.LG cs.HC q-bio.NC stat.ML 87%

Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach

He He, Dongrui Wu

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

2605.22893 2026-05-25 eess.SP cs.LG 86%

L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark

L-FAME：纵向专注冥想脑电图数据集与基准

Angqi Li, Ab Basit Rafi Syed, Hamzeh Alzweri, Taosheng Liu, Barry H. Cohen, Saiprasad Ravishankar

机构 * Department of CMSE（计算机科学与工程系）； Department of CSE（计算机科学与工程系）； Michigan State University（密歇根州立大学）； Department of Psychology（心理学系）； Department of Applied Psychology（应用心理学系）； New York University（纽约大学）； Department of BME（生物医学工程系）

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

AI总结提出纵向专注冥想脑电图数据集L-FAME及基准，包含74名参与者六周训练前后的脑电图记录和心理评估，设计三项分类任务用于冥想研究。

Comments Code and dataset available at: https://huggingface.co/datasets/L-FAME-Dataset-Benchmark/L-FAME

2605.18897 2026-05-20 eess.SP cs.AI cs.LG 86%

Cross-Subject Intracranial EEG Reconstruction from Scalp Recordings Using Multi-Scale Cross-Attention Transformers

基于多尺度交叉注意力变换器的跨受试者颅内脑电重构（使用头皮记录）

Tien-Dat Pham, Xuan-The Tran

机构 * HAI-Smartlink Research Lab, Anchi STE Company（HAI-Smartlink研究实验室、Anchi STE公司）； School of Mechanical Engineering, Vietnam Maritime University（越南海事大学机械工程学院）

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

AI总结本文提出了一种基于多尺度交叉注意力变换器（CAST）的方法，通过两阶段迁移学习策略，从头皮脑电中重建未见过的受试者的颅内脑电信号，实现了无需患者特定训练的跨受试者颅内脑电重构。

2604.09649 2026-04-14 cs.HC cs.AI eess.SP 86%

WearBCI Dataset: Understanding and Benchmarking Real-World Wearable Brain-Computer Interfaces Signals

WearBCI 数据集：理解和评估真实世界可穿戴脑机接口信号

Haoxian Liu, Hengle Jiang, Lanxuan Hong, Xiaomin Ouyang

机构 * Hong Kong University of Science and Technology（香港科技大学）

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

AI总结本文提出WearBCI数据集，通过同步多模态记录和系统性评估，研究运动伪影对可穿戴BCI信号的影响，并探索跨模态信号增强和多维行为理解的新应用。

Comments Accepted by Sensys 2026

2511.02848 2025-11-06 eess.SP cs.AI cs.LG 86%

EEGReXferNet: A Lightweight Gen-AI Framework for EEG Subspace Reconstruction via Cross-Subject Transfer Learning and Channel-Aware Embedding

Shantanu Sarkar, Piotr Nabrzyski, Saurabh Prasad, Jose Luis Contreras-Vidal

机构 * IUCRC BRAIN Center, Cullen College of Engineering, University of Houston（IUCRC BRAIN中心、工程学院、休斯顿大学）； Department of Computer Engineering, Purdue University（计算机工程系、普渡大学）

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

Comments Accepted for presentation at the NeurIPS 2025 Workshop on Foundation Models for the Brain and Body

2507.11911 2025-07-17 cs.HC cs.IR cs.LG 86%

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding

Xiaoqing Chen, Siyang Li, Dongrui Wu

机构 * Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology（教育部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）； Zhongguancun Academy（中关村学院）

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

2410.12267 2024-10-17 cs.HC cs.LG 86%

iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System

Xiaowei Jiang, Beining Cao, Liang Ou, Yu-Cheng Chang, Thomas Do, Chin-Teng Lin

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

2403.15415 2024-06-28 eess.SP cs.LG 86%

Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets

Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis Engemann, Alexandre Gramfort

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

2306.13109 2024-05-27 eess.SP cs.LG 86%

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks

Jinpei Han, Xiaoxi Wei, A. Aldo Faisal

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

Comments 19 pages, 4 figures

Journal ref J. Neural Eng. 20 066027 (2023)

2210.01081 2023-07-11 cs.LG eess.SP 86%

On The Effects Of Data Normalisation For Domain Adaptation On EEG Data

Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete

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

Comments Published in its final version on Engineering Applications of Artificial Intelligence (EAAI) https://doi.org/10.1016/j.engappai.2023.106205

2301.12322 2023-01-31 cs.LG cs.AI cs.HC 86%

Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface

Chad Mello, Troy Weingart, Ethan M. Rudd

专题命中 BCI数据与评测：brain-computer interface(title)；BCI(abstract)；brain computer interface(abstract)；EEG(abstract)

Comments Postprint of a manuscript accepted to the International Conference on Pattern Recognition (ICPR) 2022

2206.01323 2022-10-14 cs.LG eess.SP 86%

SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

Reinmar J Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe

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

Comments 10 pages, accepted at NeurIPS 2022

2202.12950 2022-03-01 eess.SP cs.AI cs.LG 86%

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets

Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Śliwowski, Vincent Rouanne, Piotr Tempczyk

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

Comments PrePrint of the NeurIPS2021 BEETL Competition Submitted to Proceedings of Machine Learning Research (PMLR)

1910.07747 2020-08-24 cs.LG cs.HC stat.ML 86%

Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI

Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk

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

Comments 10 pages, 4 figures

1912.01166 2020-05-12 cs.HC cs.AI cs.LG 86%

Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach

He He, Dongrui Wu

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

Comments IEEE Trans. on Neural Systems and Rehabilitation Engineering, 2020

Journal ref IEEE Trans. on Neural Systems and Rehabilitation Engineering, 28(5), pp. 1091-1108, 2020

1910.05878 2020-05-12 cs.HC cs.LG 86%

Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces

Wen Zhang, Dongrui Wu

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

Journal ref IEEE Trans. on Neural Systems and Rehabilitation Engineering, 28(5), pp. 1117-1127, 2020

1805.05781 2020-04-02 cs.LG cs.HC stat.ML 86%

Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration

Dongrui Wu

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

Comments IEEE Int'l. Conf. on Systems, Man and Cybernetics, Banff, Canada, 2017. arXiv admin note: substantial text overlap with arXiv:1702.02897

2002.11754 2020-03-17 cs.HC q-bio.NC 86%

MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware

Matthias R. Hohmann, Lisa Konieczny, Michelle Hackl, Brian Wirth, Talha Zaman, Raffi Enficiaud, Moritz Grosse-Wentrup, Bernhard Schölkopf

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

Comments 9 pages, 5 figures. Submitted to PNAS. Minor revision

1702.02901 2020-02-13 cs.LG cs.HC 86%

Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)

Dongrui Wu, Vernon J. Lawhern, Stephen Gordon, Brent J. Lance, Chin-Teng Lin

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

Comments in press

Journal ref IEEE Trans.on Fuzzy Systems, 25(6), pp. 1522-1535, 2017

1702.02897 2020-02-13 cs.LG cs.HC 86%

Online and Offline Domain Adaptation for Reducing BCI Calibration Effort

Dongrui Wu

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

Comments in press

Journal ref IEEE Trans. on Human-Machine Systems, vol. 47, no. 4, pp. 550-563, 2017

1808.05853 2018-08-20 cs.HC cs.CV cs.LG 86%

Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach

He He, Dongrui Wu

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

1. BCI数据与评测 503 篇

Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of Datasets

When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding

AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications

Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface

Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface

Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework

Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance

Minimizing subject-dependent calibration for BCI with Riemannian transfer learning

Attention-based Transfer Learning for Brain-computer Interface

Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach

L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark

Cross-Subject Intracranial EEG Reconstruction from Scalp Recordings Using Multi-Scale Cross-Attention Transformers

WearBCI Dataset: Understanding and Benchmarking Real-World Wearable Brain-Computer Interfaces Signals

EEGReXferNet: A Lightweight Gen-AI Framework for EEG Subspace Reconstruction via Cross-Subject Transfer Learning and Channel-Aware Embedding

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding

iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System

Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks

On The Effects Of Data Normalisation For Domain Adaptation On EEG Data

Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface

SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets

Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI

Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach

Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces

Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration

MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware

Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)

Online and Offline Domain Adaptation for Reducing BCI Calibration Effort

Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach