脑机接口 / BCI

SAFE: Secure and Accurate Federated Learning for Privacy-Preserving Brain-Computer Interfaces

SAFE: 用于隐私保护脑机接口的安全且准确的联邦学习

Tianwang Jia, Xiaoqing Chen, 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） 纠错

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

AI总结 SAFE通过联邦学习在保护隐私的同时提升脑机接口的解码准确性和对抗鲁棒性，无需使用目标受试者的校准数据。

Comments 12 pages, 9 figures

A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration

用于解码皮层脑电信号的综合通道方法：通过空间信息整合提升精度

Maryam Ostadsharif Memar, Navid Ziaei, Behzad Nazari

专题命中 EEG解码 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；neural decoding(abstract)

AI总结 本文提出了一种用于解码皮层脑电信号的综合通道方法，通过整合多脑区空间信息提升解码精度，并在多个数据集上验证了其优越性能。

Journal ref 2025 33rd International Conference on Electrical Engineering (ICEE)

GCMCG: A Clustering-Aware Graph Attention and Expert Fusion Network for Multi-Paradigm, Multi-task, and Cross-Subject EEG Decoding

GCMCG：一种面向多范式、多任务和跨受试者的EEG解码图注意力与专家融合网络

Yiqiao Chen, Zijian Huang, Juchi He, Fazheng Xu, Zhenghui Feng

机构 * Faculty of frontier sciences, Harbin Institute of Technology, Shenzhen（前沿科学学院，哈尔滨工业大学深圳校区） ； Doumaomao NetTech Co., Ltd.（杜马莫莫网络技术有限公司） ； University of Melbourne（墨尔本大学） ； The University of New South Wales（新南威尔士大学） 纠错

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

AI总结 GCMCG通过图注意力与专家融合网络提升多范式、多任务和跨受试者EEG解码的准确性和泛化能力。

Comments 46 pages, 11 figures

CAT-Net: A Cross-Attention Tone Network for Cross-Subject EEG-EMG Fusion Tone Decoding

Yifan Zhuang, Calvin Huang, Zepeng Yu, Yongjie Zou, Jiawei Ju

专题命中 EEG解码 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；neural decoding(abstract)

Comments This is the extended version with technical appendices. The version of record appears in AAAI-26. Please cite the AAAI version

RatioWaveNet: A Learnable RDWT Front-End for Robust and Interpretable EEG Motor-Imagery Classification

Marco Siino, Giuseppe Bonomo, Rosario Sorbello, Ilenia Tinnirello

机构 * Department of Electrical, Electronics and Informatics Engineering, University of Catania（电子、电子与信息工程系，卡塔尼亚大学） ； Department of Engineering, University of Palermo（工程系，巴勒莫大学） 纠错

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

NeuroTTT: Bridging Pretraining-Downstream Task Misalignment in EEG Foundation Models via Test-Time Training

Suli Wang, Yangshen Deng, Zhenghua Bao, Xinyu Zhan, Yiqun Duan

机构 * Technical University of Darmstadt（达姆斯塔特技术大学） ； University of Edinburgh（爱丁堡大学） ； University of Technology Sydney（悉尼技术大学） 纠错

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

DLGE: Dual Local-Global Encoding for Generalizable Cross-BCI-Paradigm

Jingyuan Wang, Junhua Li

机构 * School of Computer Science and Electronic Engineering, University of Essex（计算机科学与电子工程学院，埃塞克斯大学） 纠错

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

EEG Study of the Influence of Imagined Temperature Sensations on Neuronal Activity in the Sensorimotor Cortex

Anton Belichenko, Daria Trinitatova, Aigul Nasibullina, Lev Yakovlev, Dzmitry Tsetserukou

专题命中 EEG解码 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；cortical(abstract)

Comments Accepted to the IEEE International Conference on Systems, Man, and Cybernetics 2025 (IEEE SMC 2025), 6 pages, 6 figures, 1 table

Mind2Matter: Creating 3D Models from EEG Signals

Xia Deng, Shen Chen, Jiale Zhou, Lei Li

专题命中 EEG解码 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；neural decoding(abstract)

EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters

Taveena Lotey, Aman Verma, Partha Pratim Roy

专题命中 EEG解码 ：EEG(title,abstract)；brain computer interface(abstract)；neural decoding(abstract)；motor imagery(abstract)

EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method

Wei Peng, Kang Liu, Jiaxi Shi, Jianchen Hu

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

Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs

Xiaoqing Chen, Ziwei Wang, Dongrui Wu

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

Journal ref IEEE Trans. on Neural Systems and Rehabilitation Engineering, 32:1703-1714, 2024

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs

Yisheng Li, Shuqiang Wang

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

Comments 11 pages, 5 figures

Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance

Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena

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

Comments 8 pages, 3 figures, 3 tables, draft of the accepted work at IJCNN, WCCI 2024

Neuro-GPT: Towards A Foundation Model for EEG

Wenhui Cui, Woojae Jeong, Philipp Thölke, Takfarinas Medani, Karim Jerbi, Anand A. Joshi, Richard M. Leahy

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

Comments Paper accepted by the 2024 IEEE International Symposium on Biomedical Imaging (ISBI)

CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals

Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi

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

Comments 4 pages, 1 table

Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface

Chin-Teng Lin, Kuan-Chih Huang, Yu-Ting Liu, Yang-Yin Lin, Tsung-Yu Hsieh, Nikhil R. Pal, Shang-Lin Wu, Chieh-Ning Fang, Zehong Cao

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

Comments The current version is accepted by iFuzzy 2020

Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI

Jesse A. Livezey, Joshua I. Glaser

专题命中 EEG解码 ：neural decoding(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；neural signal(abstract)

Comments 22 pages, 3 figures

Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy

Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee

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

Comments Accepted to IEEE EMBC 2020

A novel multimodal approach for hybrid brain-computer interface

Zhe Sun, Zihao Huang, Feng Duan, Yu Liu

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

A novel approach to classify natural grasp actions by estimating muscle activity patterns from EEG signals

Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee

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

Comments 4 pages, 4 figures, conference

Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces

Michael Hersche, José del R. Millán, Luca Benini, Abbas Rahimi

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

Riemannian geometry applied to detection of respiratory states from EEG signals: the basis for a brain-ventilator interface

X Navarro-Sune, A. L. Hudson, F. De Vico Fallani, J. Martinerie, A. Witon, P. Pouget, M. Raux, T. Similowski, M. Chavez

专题命中 EEG解码 ：EEG(title,abstract)；BCI(abstract)；brain computer interface(abstract)；cortical(abstract)

Comments 14 pages, 7 figures

Journal ref IEEE Transactions on Biomedical Engineering, 2016

Advantages of EEG phase patterns for the detection of gait intention in healthy and stroke subjects

Andreea Ioana Sburlea, Luis Montesano, Javier Minguez

专题命中 EEG解码 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；cortical(abstract)

Comments 18 pages, 5 figures

Operation of a Brain-Computer Interface Walking Simulator by Users with Spinal Cord Injury

Christine E. King, Po T. Wang, Luis A. Chui, An H. Do, Zoran Nenadic

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

Comments 17 pages, 7 figures, 5 tables, supplementary video link (http://www.youtube.com/watch?v=K4Frq9pwAz8)

Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals

Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee

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

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

A generic framework for adaptive EEG-based BCI training and operation

Jelena Mladenović, Jérémie Mattout, Fabien Lotte

专题命中 EEG解码 ：BCI(title,abstract)；EEG(title,journal_ref)；分类 cs.HC；brain-computer interface(journal_ref)

Journal ref Chapter 33: ''A generic framework for adaptive EEG-based BCI training and operation'' , 1, CRC Press: Taylor \& Francis Group, 2017, Brain-Computer Interfaces Handbook: Technological and Theoretical Advances

Universal BCI Personalization: One API for Frozen EEG Trunks and Foundation Models

通用脑机接口个性化：用于冻结脑电图主干和基础模型的单一应用程序编程接口

Sergey Musienko

机构 * NimbusBCI 纠错

专题命中 EEG解码 ：EEG(title,abstract)；BCI(title)；分类 q-bio.NC、cs.LG、cs.HC

AI总结 研究针对冻结脑电图编码器微调难的问题，提出Nimbus Personalizer，通过与主干无关的API，可在异构冻结主干上运行，在多数据集和基础编码器上验证，相比传统方法成本低且能恢复精度增益，结果具探索性。

Comments 20 pages, 12 figures. Companion paper on the control layer forthcoming

Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing

解码多模态思维：通过多模态对齐和自适应路由实现可泛化的脑到文本翻译

Chunyu Ye, Yunhao Zhang, Jingyuan Sun, Chong Li, Yang Zhao, Shaonan Wang

机构 * State Key Laboratory of Multimodal Artificial Intelligence System, Institute of Automation, Chinese Academy of Sciences（多模态人工智能系统国家重点实验室，中国科学院自动化研究所） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） ； Department of Computer Science, The University of Manchester（曼彻斯特大学计算机科学系） ； Department of Language Science and Technology, Hong Kong Polytechnic University（香港理工大学语言科学与技术系） 纠错

专题命中 EEG解码 ：EEG(summary_cn,abstract)；BCI(abstract,abstract_cn)；brain-computer interface(abstract)

AI总结 该研究针对脑机接口从人脑解码语言的挑战，提出利用多模态大语言模型和路由模块的统一框架，通过多模态对齐和自适应路由将脑信号与多模态语义空间对齐，在fMRI等数据集实验中性能领先，还扩展到EEG和MEG数据，为现实应用提供灵活方案。

Comments Accepted to ACL 2026 Findings

Tracking EEG Thalamic and Cortical Focal Brain Activity using Standardized Kalman Filtering with Kinematics Modeling

Veikka Piispa, Dilshanie Prasikala, Joonas Lahtinen, Alexandra Koulouri, Sampsa Pursiainen

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