脑机接口 / BCI

Neural Spelling: A Spell-Based BCI System for Language Neural Decoding

神经拼写：一种基于拼写的BCI系统用于语言神经解码

Xiaowei Jiang, Charles Zhou, Yiqun Duan, Ziyi Zhao, Thomas Do, Chin-Teng Lin

机构 * Brain Computer Interface Lab, School of Computer Science, Faculty of Engineering ； Information Technology, University of Technology Sydney 纠错

专题命中 语音与意图解码 ：BCI(title,abstract)；neural decoding(title,abstract)；brain-computer interface(abstract)；EEG(abstract)

AI总结 本文提出一种基于EEG的BCI系统，结合课程神经拼写框架和生成式AI，实现高准确率的字母识别和文本生成，提升残障人士的交流能力。

Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication

基于脑机接口的沉浸式通信的脉冲个性化联邦学习

Chen Shang, Dinh Thai Hoang, Diep N. Nguyen, Jiadong Yu

机构 * School of Electrical and Data Engineering, University of Technology Sydney（悉尼技术大学电气与数据工程学院） ； Thrust of Internet of Things, The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）物联网研究所） 纠错

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；BCI(abstract,abstract_cn)；分类 eess.SP、cs.LG

AI总结 本文提出了一种利用脑机接口获取脑信号以推断用户中心状态（如意图和感知相关不适）的沉浸式通信框架，通过个性化联邦学习模型处理脑信号，以适应神经多样性数据并防止敏感脑信号信息泄露，同时通过嵌入脉冲神经网络降低能耗，实验表明在真实脑信号数据集上识别准确率最高且能耗降低6.46倍。

Comments 6 pages, 3 figures

Journal ref INFOCOM Workshop, 2026

Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding

拼凑心灵的拼图：迈向EEG语义意图解码

Jiahe Li, Junru Chen, Fanqi Shen, Jialan Yang, Jada Li, Zhizhang Yuan, Baowen Cheng, Meng Li, Yang Yang

机构 * Zhejiang University（浙江大学） ； University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences（中国科学院上海微系统与信息工程研究所） ； Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Southern Medical University（粤港澳大湾区脑科学与脑启发智能中心，南方医科大学） ； INSIDE Institute for NeuroAI（神经AI研究所） 纠错

专题命中 语音与意图解码 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；分类 q-bio.NC、cs.LG

AI总结 本文提出SID框架和BrainMosaic模型，通过语义组合和深度学习实现EEG信号的自然语言解码，提升脑机接口的可解释性和表达能力。

Eye-Tracking and BCI Integration for Assistive Communication in Locked-In Syndrome: Pilot Study with Healthy Participants

Ana Patrícia Pinto, Rute Bettencourt, Urbano J. Nunes, Gabriel Pires

专题命中 语音与意图解码 ：BCI(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 eess.SP、cs.HC

Comments 4 pages, 4 figures, accepted for the 8th IEEE ENBENG 2025 Conference

Pushing the Communication Speed Limit of a Noninvasive BCI Speller

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

专题命中 语音与意图解码 ：BCI(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 q-bio.NC、cs.HC

EEG-Based Imagined Speech Decoding Using a Hybrid CNN-SNN Architecture

基于脑电图的想象语音解码：使用混合卷积神经网络-脉冲神经网络架构

Fatima Shalhoub, Mariam Al Mawla, Kabalan Chaccour, Iván López-Espejo, Hoda Fares

机构 * Doctoral School of Science, Technology, and Engineering, University of Granada（格拉纳达大学科学、技术与工程博士学院） ； University of Technology Belfort-Montbéliard, SINERGIES（贝尔福-蒙贝利亚尔技术大学，协同实验室） ； Department of Signal Theory, Telematics and Communications, University of Granada（格拉纳达大学信号理论、电信与通信系） ； Department of Chemical Engineering, Stanford University（斯坦福大学化学工程系） ； Department of Electrical and Computer Engineering, Aarhus University（奥尔胡斯大学电气与计算机工程系） 纠错

专题命中 语音与意图解码 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；分类 cs.HC

AI总结 研究针对脑电图信号想象语音解码难题，提出用卷积神经网络提取时间表征，再经脉冲神经网络进行生物启发式时间分类的混合解码方法，在基准测试中取得高准确率，证明该方法有效性。

Comments Accepted to IEEE EMBC 2026

Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins

将脑机接口与类脑计算整合用于人类数字孪生

Chen Shang, Jiadong Yu, Dinh Thai Hoang

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；BCI(abstract,abstract_cn)；分类 cs.HC

AI总结 本文提出了一种生物启发的HDT框架，利用脑机接口传感器捕捉脑信号，以构建个性化HDT，并结合类脑计算模型和联邦学习策略，提高数据处理效率和隐私保护。

Comments 7 pages, 3 figures,

Journal ref IEEE Communications Magazine, 2026

Revisiting Privacy Preservation in Brain-Computer Interfaces: Conceptual Boundaries, Risk Pathways, and a Protection-Strength Grading Framework

重新审视脑机接口中的隐私保护：概念边界、风险路径及保护强度分级框架

Lei Sun, Xiuqing Mao, Shuai Zhang, Qingyu Zeng, Min Zhao, Jiyuan Li, Wenle Dong

机构 * PLA Information Engineering University（中国人民解放军信息工程大学） 纠错

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；BCI(abstract,abstract_cn)

AI总结 本文探讨了脑机接口中隐私保护的边界、风险路径及保护强度分级框架，分析了神经数据、模型资产等在不同生命周期阶段的隐私风险，并提出四级保护强度分类方法。

Pretraining Large Brain Language Model for Active BCI: Silent Speech

Jinzhao Zhou, Zehong Cao, Yiqun Duan, Connor Barkley, Daniel Leong, Xiaowei Jiang, Quoc-Toan Nguyen, Ziyi Zhao, Thomas Do, Yu-Cheng Chang, Sheng-Fu Liang, Chin-teng Lin

专题命中 语音与意图解码 ：BCI(title,abstract)；brain-computer interface(abstract)；EEG(abstract)

Multimodal Brain-Computer Interfaces: AI-powered Decoding Methodologies

Siyang Li, Hongbin Wang, Xiaoqing Chen, Dongrui Wu

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 q-bio.NC、cs.LG、cs.HC

Progress in Brain Computer Interfaces: Challenges and Trends

Simanto Saha, Khondaker A. Mamun, Khawza Ahmed, Raqibul Mostafa, Ganesh R. Naik, Ahsan Khandoker, Sam Darvishi, Mathias Baumert

专题命中 语音与意图解码 ：brain computer interface(title,abstract)；BCI(abstract)；分类 q-bio.NC、cs.HC

A Personalized and Adaptable User Interface for a Speech and Cursor Brain-Computer Interface

面向语音和光标脑机接口的个性化和可适应用户界面

Hamza Peracha, Carrina Iacobacci, Tyler Singer-Clark, Leigh R. Hochberg, Sergey D. Stavisky, David M. Brandman, Nicholas S. Card

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

AI总结 本文提出了一种针对严重瘫痪用户的个性化和可适应的BCI用户界面，通过长期部署和迭代设计，实现了用户与计算机的独立交互，展示了个性化和适应性在日常生活中提升独立性的作用。

Comments 18 pages, 6 figures

A Review of Brain-Computer Interface Technologies: Signal Acquisition Methods and Interaction Paradigms

Yifan Wang, Cheng Jiang, Chenzhong Li

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

Comments 12 figures,20 pages

BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM

Xiaoyu Chen, Changde Du, Che Liu, Yizhe Wang, Huiguang He

专题命中 语音与意图解码 ：neural decoding(title,abstract)；brain-computer interface(abstract)；分类 cs.HC

Comments arXiv admin note: substantial text overlap with arXiv:2405.07840

EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models

Soowon Kim, Ha-Na Jo, Eunyeong Ko

专题命中 语音与意图解码 ：EEG(title)；brain-computer interface(abstract)；neural signal(abstract)；分类 eess.SP

Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM

Xiaoyu Chen, Changde Du, Che Liu, Yizhe Wang, Huiguang He

专题命中 语音与意图解码 ：neural decoding(title,abstract)；brain-computer interface(abstract)；分类 cs.HC

Is controlling a brain-computer interface just a matter of presence of mind? The limits of cognitive-motor dissociation

Perrine Seguin, Emmanuel Maby, Fabien Perrin, Alessandro Farnè, Jérémie Mattout

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 q-bio.NC

Comments 3 tables

Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity

Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

Comments Accepted by IEEE Internet of Things Journal (http://ieee-iotj.org/). arXiv admin note: substantial text overlap with arXiv:1804.05493

Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface

Ji-Ha Park, Seo-Hyun Lee, Soowon Kim, Seong-Whan Lee

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；neural signal(abstract)

Comments 4 pages, 2 figures, 1 table, Name of Conference: International Conference on Brain-Computer Interface

Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication

Chaofei Fan, Nick Hahn, Foram Kamdar, Donald Avansino, Guy H. Wilson, Leigh Hochberg, Krishna V. Shenoy, Jaimie M. Henderson, Francis R. Willett

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；分类 q-bio.NC、cs.LG、cs.HC

Adapting Transformer Language Models for Predictive Typing in Brain-Computer Interfaces

Shijia Liu, David A. Smith

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；BCI(abstract)

A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations

Masakazu Inoue, Motoshige Sato, Kenichi Tomeoka, Nathania Nah, Eri Hatakeyama, Kai Arulkumaran, Ilya Horiguchi, Shuntaro Sasai

机构 * Araya Inc.（Araya公司） 纠错

专题命中 语音与意图解码 ：EEG(title,abstract)；分类 q-bio.NC、cs.LG

Comments Accepted for presentation at Interspeech 2025. 5 pages, 4 figures, 2 tables

iPhoneme: Brain-to-Text Communication for ALS Using ConformerXL Decoding

iPhoneme：基于ALS的脑-文本通信系统使用ConformerXL解码

Yoonmin Cha, Dawit Chun, Sung Park

机构 * School of Data Science and Artificial Intelligence（数据科学与人工智能学院） ； Taejae University（泰雅大学） 纠错

专题命中 语音与意图解码 ：EEG(abstract,abstract_cn)；brain-computer interface(abstract)；neural decoding(abstract)

AI总结 iPhoneme通过集成建模和交互设计，解决ALS患者脑机接口中的解码准确性和输入接口限制问题，实现高精度的脑-文本通信。

Towards Predictive Communication with Brain-Computer Interfaces integrating Large Language Models

Andrea Caria

专题命中 语音与意图解码 ：brain-computer interface(title)；BCI(abstract)；分类 cs.HC

Comments needs major revision

Network neuroscience for optimizing brain-computer interfaces

Fabrizio De Vico Fallani, Danielle S. Bassett

专题命中 语音与意图解码 ：brain-computer interface(title,abstract)；分类 q-bio.NC

Journal ref Physics of Life Reviews 2019

Online classification of imagined speech using functional near-infrared spectroscopy signals

Alborz Rezazadeh Sereshkeh, Rozhin Yousefi, Andrew T Wong, Tom Chau

专题命中 语音与意图解码 ：BCI(abstract)；brain-computer interface(abstract)；motor imagery(abstract)；分类 q-bio.NC、cs.HC

$i$MIND: Insightful Multi-subject Invariant Neural Decoding

Zixiang Yin, Jiarui Li, Zhengming Ding

专题命中 语音与意图解码 ：neural decoding(title,abstract)

Comments The Thirty-Ninth Annual Conference on Neural Information Processing Systems

A Robust Multi-Scale Framework with Test-Time Adaptation for sEEG-Based Speech Decoding

Suli Wang, Yang-yang Li, Siqi Cai, Haizhou Li

专题命中 语音与意图解码 ：BCI(abstract)；brain-computer interface(abstract)；neural signal(abstract)；分类 cs.HC

BrainLLM: Generative Language Decoding from Brain Recordings

Ziyi Ye, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Min Zhang, Christina Lioma, Tuukka Ruotsalo

机构 * Tsinghua University, Beijing, China（清华大学） ； University of Amsterdam, Amsterdam, Netherlands（阿姆斯特丹大学） ； University of Copenhagen, Copenhagen, Denmark（哥本哈根大学） ； Lappeenranta-Lahti University of Technology, Lappeenranta, Finland（拉普兰塔-拉赫蒂技术大学） 纠错

专题命中 语音与意图解码 ：BCI(abstract)；brain-computer interface(abstract)；cortical(abstract)

Comments Nature Communications Biology

Journal ref Communications Biology, 2025, 8(1): 346

Driver-Intention Prediction with Deep Learning: Real-Time Brain-to-Vehicle Communication

基于深度学习的驾驶员意图预测：实时脑机通信

Niloufar Alavi, Swati Shah, Rezvan Alamian, Stefan Goetz

专题命中 语音与意图解码 ：brain-computer interface(abstract)；EEG(abstract)；分类 eess.SP、cs.HC

AI总结 本研究利用深度学习通过EEG信号预测驾驶员意图，实现实时脑机通信，准确率达83.7%。

Comments 6 pages, 7 figures