脑机接口 / BCI

An optimization approach for well-targeted transcranial direct current stimulation

Sven Wagner, Martin Burger, Carsten H. Wolters

专题命中 神经假体 ：cortical(abstract)

A model of fractional-order diffusion in the glial scar

Dimiter Prodanov, Jean Delbeke

专题命中 神经假体 ：neuroprosthetic(abstract)

Comments Figures excluded due to technical issues

Quantitative analysis by renormalized entropy of invasive electroencephalograph recordings in focal epilepsy

K. Kopitzki, P. C. Warnke, J. Timmer

专题命中 神经假体 ：EEG(abstract)

Comments 10 pages, 5 figures

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