脑机接口 / BCI

MindAU: EEG-Conditioned Facial Action Unit Editing via Dual-Stream Manifold Alignment

MindAU: 基于双流流形对齐的脑电条件面部动作单元编辑

Zhenhang Li, Xin Zhou, Hao Deng, Lijun Yin

机构 * Binghamton University（宾汉姆顿大学） ； Massachusetts General Hospital（马萨诸塞综合医院） ； Harvard Medical School（哈佛医学院） 纠错

专题命中 EEG解码 ：EEG(title,summary_cn)；neural signal(abstract)；分类 cs.LG

AI总结 提出MindAU框架，通过双流流形对齐将EEG特征与AU文本语义和视觉位移对齐，实现高保真身份保持的面部动作单元编辑。

Eccentricity Confound in EEG-based Visual Attention Decoding from Gaze-Fixated Neural Tracking of Motion in Natural Videos

EEG基于视觉注意力解码中的偏心度干扰：从固定注视点追踪自然视频中运动的神经活动

Yuanyuan Yao, Celina Salamanca Gonzalez, Simon Geirnaert, Celine R. Gillebert, Tinne Tuytelaars, Alexander Bertrand

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

AI总结 研究探讨了在控制眼动伪影的情况下，视觉偏心度对自然视频中物体运动神经响应的影响，发现偏心度干扰了神经对运动的追踪，揭示了当前解码方法的局限性。

Towards Robust EEG Decoding Based on Riemannian Self-Attention

基于黎曼自注意力的鲁棒脑电解码方法

Shaocheng Jin, Tao Zhou, Rui Wang, Ziheng Chen, Xiaoqing Luo, Xiaojun Wu, Josef Kittler

机构 * School of Artificial Intelligence and Computer Science（人工智能与计算机科学学院） ； Jiangnan University（江南大学） ； Department of Information Engineering and Computer Science（信息工程与计算机科学系） ； University of Trento（特伦托大学） ； Centre for Vision, Speech and Signal Processing (CVSSP)（视觉、语音与信号处理中心） ； University of Surrey（萨里大学） 纠错

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

AI总结 针对脑电解码中信号低信噪比和现有黎曼方法依赖特定度量的局限，提出基于Bures-Wasserstein度量的黎曼自注意力网络及其可推广版本GBWAtt，在三个数据集上验证了鲁棒性和有效性。

Comments Accepted by KDD 2026

NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction

NeuroSonic: 用于脑电图到语音重建的条件流匹配

Wenhao Gao, Yifan Wang, Yijia Ma, Carl Yang, Wen Li, Chenyu You

机构 * Stony Brook University（石溪大学） ； University of Texas Health Center at Houston（德克萨斯大学休斯顿健康科学中心） ； Emory University（埃默里大学） 纠错

专题命中 EEG解码 ：EEG(title,summary_cn)；cortical(abstract)；分类 cs.LG

AI总结 提出NeuroSonic条件流匹配框架，通过学习确定性概率流速度场将噪声声学状态传输到干净语音，解决EEG信号弱、空间弥散与语音强谐波结构之间的不匹配问题，在CineBrain和EAV基准上提升感知质量达26.3%。

Comments Accepted by MICCAI 2026

An Exploration on Brain Computer Interface and Its Recent Trends

脑机接口及其近期趋势的探索

T. Kameswara Rao, M. Rajya Lakshmi, T. V. Prasad

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

AI总结 本文通过非侵入式脑电图技术，探索脑机接口在识别物体、图像、视频及理解语言、情绪等方面的应用，并重建视觉数据，为未来研究指明方向。

Comments 6 pages

Journal ref International Journal of Advanced Research in Artificial Intelligence, 1(8), 2012, 17-22

NeurIPT: Foundation Model for Neural Interfaces

Zitao Fang, Chenxuan Li, Hongting Zhou, Shuyang Yu, Guodong Du, Ashwaq Qasem, Yang Lu, Jing Li, Junsong Zhang, Sim Kuan Goh

机构 * Xiamen University Malaysia（马来西亚厦门大学） ； Columbia University（哥伦比亚大学） ； The Hong Kong Polytechnic University（香港理工大学） ； Xiamen University（厦门大学） ； Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳）） 纠错

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

Comments Accepted by The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025). Project Page: https://ZzzitaoFang.github.io/projects/NeurIPT/

Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions

Javier Fumanal-Idocin, Yu-Kai Wang, Chin-Teng Lin, Javier Fernández, Jose Antonio Sanz, Humberto Bustince

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

Comments IEEE Transactions on Cybernetics (2021)

Calibration-free online test-time adaptation for electroencephalography motor imagery decoding

Martin Wimpff, Mario Döbler, Bin Yang

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

Comments 6 pages, 4 figures, 12th International Winter Conference on Brain-Computer Interface 2024

A Brain Wave Encodes a Thousand Tokens: Modeling Inter-Cortical Neural Interactions for Effective EEG-based Emotion Recognition

Nilay Kumar, Priyansh Bhandari, G. Maragatham

机构 * Department of Computational Intelligence, SRM Institute of Science 纠错

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

In-Ear Electrode EEG for Practical SSVEP BCI

Surej Mouli, Ramaswamy Palaniappan, Emmanuel Molefi, Ian McLoughlin

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

Comments 12 pages

DIY hybrid SSVEP-P300 LED stimuli for BCI platform using EMOTIV EEG headset

Surej Mouli, Ramaswamy Palaniappan

专题命中 EEG解码 ：BCI(title,abstract)；EEG(title,abstract)；分类 eess.SP、cs.HC

Journal ref HardwareX 2020

The Riemannian Means Field Classifier for EEG-Based BCI Data

Anton Andreev, Grégoire Cattan, Marco Congedo

专题命中 EEG解码 ：BCI(title,abstract)；EEG(title,abstract)；分类 eess.SP、cs.HC

Journal ref Sensors, 2025, 25 (7), pp.2305

PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devices

Ildar Rakhmatulin

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

Generate your neural signals from mine: individual-to-individual EEG converters

Zitong Lu, Julie D. Golomb

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

Comments Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023)

Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study

Okba Bekhelifi, Nasr-Eddine Berrached

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

Comments 24 pages, 9 figures

Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem

Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo

专题命中 EEG解码 ：EEG(title,abstract)；cortical(title,abstract)；分类 eess.SP、cs.LG

EasyBCI Agent: Towards Universal Neural Data Preprocessing for Brain-Computer Interfaces

EasyBCI Agent：面向脑机接口的通用神经数据预处理

Yu Zhu, Runkai Zhao, Zhimin Zhou, Jinyu Cai, Zhouheng Yao, Chutian Zhang, Peiyuan Li, Xiaoxing Zhang, Qihao Zheng, Jiamin Wu, Mianxin Liu, Chi Zhang, Bin Min, Lei Bai, Chengyu Li, Jingpeng Wu, Chunfeng Song

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

AI总结 EasyBCI是两阶段大语言模型智能体，可针对六种信号类型规划执行脑机接口预处理，经评估其在EEG任务中表现优于人工流程及通用编码智能体，可扩展至多模态并提升可复现性。

Comments 15 pages, 6 figures, 4 tables

An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Production

一种用于言语产生过程中发音、大脑和肌肉活动的实时MRI视频、脑电图和表面肌电图同步采集方法

Jihwan Lee, Parsa Razmara, Kevin Huang, Sean Foley, Aditya Kommineni, Haley Hsu, Woojae Jeong, Prakash Kumar, Xuan Shi, Yoonjeong Lee, Tiantian Feng, Takfarinas Medani, Ye Tian, Sudarsana Reddy Kadiri, Krishna S. Nayak, Dani Byrd, Louis Goldstein, Richard M. Leahy, Shrikanth Narayanan

机构 * Signal Analysis and Interpretation Laboratory, University of Southern California（南加州大学信号分析与解释实验室） ； Ming Hsieh Dept. of Electrical and Computer Engineering, University of Southern California（南加州大学明希斯电气与计算机工程系） ； Dept. of Linguistics, University of Southern California（南加州大学语言学系） 纠错

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

AI总结 本文首次实现了言语产生过程中实时MRI、EEG和表面EMG的同步采集，并提出了针对三模态设置的伪影抑制流程，为言语神经科学和脑机接口提供新视角。

Comments Accepted for Interspeech 2026

A 1000-hour EEG-EMG-audio dataset of Japanese speech production

1000小时日语语音产生的EEG-EMG-音频数据集

Motoshige Sato, Ilya Horiguchi, Masakazu Inoue, Kenichi Tomeoka, Eri Hatakeyama, Yuya Kita, Atsushi Yamamoto, Ippei Fujisawa, Shuntaro Sasai

机构 * National Institute of Information and Communications Technology, Japan（日本信息与通信技术研究所） 纠错

专题命中 EEG解码 ：EEG(title,title_cn)；分类 q-bio.NC、eess.SP、cs.HC

AI总结 本研究构建了一个包含1020小时同步头皮脑电图、面部肌电图和语音音频的多模态数据集，来自三名健康日语母语者在开放词汇有声语音过程中的记录，旨在支持语音解码、多模态信号处理及脑电图表示学习等研究。

STAMBRIDGE: Spectral-Temporal Amplitude-aware Mid-Feature Bridge for EEG Visual Decoding

STAMBRIDGE：用于脑电视觉解码的谱时幅度感知中间特征桥

Jiahe Meng, Weiming Zeng, Yueyang Li, Bo Chai, Hongjie Yan, Zhiguo Zhang, Wai Ting Siok, Nizhuan Wang

机构 * Lab of Digital Image and Intelligent Computation, Shanghai Maritime University（数字图像与智能计算实验室，上海 Maritime 大学） ； Department of Language Science and Technology, The Hong Kong Polytechnic University（语言科学与技术系，香港理工大学） ； Department of Neurology, Affiliated Lianyungang Hospital of Xuzhou Medical University（神经内科，徐州医学院附属连云港医院） ； Institute of Computing and Intelligence, Harbin Institute of Technology Shenzhen（计算与智能研究所，哈尔滨工业大学深圳研究院） 纠错

专题命中 EEG解码 ：EEG(title,summary_cn)；neural signal(abstract)

AI总结 提出STAMBRIDGE两阶段框架，通过谱时幅度感知调制（STAM）提取稳健脑电特征，并利用中间特征语义桥（MFSB）实现稳定的跨模态对齐，在THINGS-EEG基准上取得34.50% Top-1和65.95% Top-5的200路零样本检索准确率。

Brian Intensify: An Adaptive Machine Learning Framework for Auditory EEG Stimulation and Cognitive Enhancement in FXS

Zag ElSayed, Grace Westerkamp, Jack Yanchen Liu, Ernest Pedapati

机构 * School of Information Technology University of Cincinnati Ohio, USA（信息科技学院 奥地利辛辛那提大学 俄亥俄州, 美国） 纠错

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

Comments 7 pages, 4 figures

Large Language Models for EEG: A Comprehensive Survey and Taxonomy

Naseem Babu, Jimson Mathew, A. P. Vinod

机构 * Department of Computer Science and Engineering, Indian Institute of Technology Patna（计算机科学与工程系，印度理工学院帕纳布分校） ； Infocomm Technology Cluster, Singapore Institute of Technology（信息通信技术集群，新加坡理工学院） 纠错

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

Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types

Ali Rabiee, Sima Ghafoori, Anna Cetera, Reza Abiri

机构 * University of Rhode Island（罗德岛大学） 纠错

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

Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces

Aline Xavier Fidêncio, Felix Grün, Christian Klaes, Ioannis Iossifidis

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

Interpretable Dual-Filter Fuzzy Neural Networks for Affective Brain-Computer Interfaces

Xiaowei Jiang, Yanan Chen, Nikhil Ranjan Pal, Yu-Cheng Chang, Yunkai Yang, Thomas Do, Chin-Teng Lin

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

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion

Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Haoyang Qin, Quanying Liu

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

Latent Alignment with Deep Set EEG Decoders

Stylianos Bakas, Siegfried Ludwig, Dimitrios A. Adamos, Nikolaos Laskaris, Yannis Panagakis, Stefanos Zafeiriou

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

Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks

Qiqi Zhang, Ying Liu

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

Comments 4 pages, 5 figures

Prototyping and Evaluating a Real-time Neuro-Adaptive Virtual Reality Flight Training System

原型化与评估一个实时神经自适应虚拟现实飞行训练系统

Evy van Weelden, Jos M. Prinsen, Caterina Ceccato, Ethel Pruss, Anita Vrins, Maryam Alimardani, Travis J. Wiltshire, Max M. Louwerse

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

AI总结 本文研究了基于BCI的神经自适应飞行训练系统在VR模拟中的效果，通过对比自适应与固定难度序列，发现主观负荷和飞行表现无显著差异，但飞行员更偏好自适应系统。

Accurate linear modeling of EEG-based cortical activity during a passive motor task with input: a sub-space identification approach

Sanna Bakels, Mark van de Ruit, Matin Jafarian

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