脑机接口 / BCI

A Powered Prosthetic Hand with Vision System for Enhancing the Anthropopathic Grasp

Yansong Xu, Xiaohui Wang, Junlin Li, Xiaoqian Zhang, Feng Li, Qing Gao, Chenglong Fu, Yuquan Leng

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

Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions

Seo-Hyun Lee, Young-Eun Lee, Seong-Whan Lee

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

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

Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces

Milind Rao, Anirudh Raju, Pranav Dheram, Bach Bui, Ariya Rastrow

专题命中 语音与意图解码 ：neural interface(title)

Comments Proceedings of INTERSPEECH

Journal ref Proc. Interspeech 2020, 876-880 (2020)

ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis

ALIGN：对抗学习用于通用性语音神经假体

Zhanqi Zhang, Shun Li, Bernardo L. Sabatini, Mikio Aoi, Gal Mishne

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

AI总结 本文提出ALIGN框架，通过多域对抗神经网络实现跨会话适应，提升脑机接口在新会话中的语音解码性能。

Error-related Potential Variability: Exploring the Effects on Classification and Transferability

Benjamin Poole, Minwoo Lee

机构 * The Department of Computer Science University of North Carolina at Charlotte（计算机科学系北卡罗来纳大学夏洛特分校） 纠错

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

Comments Published in 2022 IEEE Symposium Series on Computational Intelligence (SSCI)

Journal ref 2022 IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, Singapore, 2022, pp. 193-200

The feasibility of combining communication BCIs with FES for individuals with locked-in syndrome

Evan Canny, Mariska J. Vansteensel, Sandra M. A. van der Salm, Gernot R. Müller-Putz, Julia Berezutskaya

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

Sequence-to-Sequence Voice Reconstruction for Silent Speech in a Tonal Language

Huiyan Li, Haohong Lin, You Wang, Hengyang Wang, Ming Zhang, Han Gao, Qing Ai, Zhiyuan Luo, Guang Li

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

Generating Music and Generative Art from Brain activity

Ricardo Andres Diaz Rincon

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

A Word Communication System with Caregiver Assist for Amyotrophic Lateral Sclerosis Patients in Completely and Almost Completely Locked-in State

Kuniaki Ozawa, Masayoshi Naito, Naoki Tanaka, Shiryu Wada

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

Comments 8 pages, 3 figures, 1 table

SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning

Pramit Saha, Muhammad Abdul-Mageed, Sidney Fels

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

Comments Under review in INTERSPEECH 2019. arXiv admin note: text overlap with arXiv:1904.04358

User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities

S. Stirenko, Yu. Gordienko, T. Shemsedinov, O. Alienin, Yu. Kochura, N. Gordienko, A. Rojbi, J. R. López Benito, E. Artetxe González

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

Comments 10 pages, 11 figures, 1 table, submitted to Future of Information and Communication Conference (FICC) 2018, 5-6 April 2018, Singapore

Journal ref In: Arai K., Kapoor S., Bhatia R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 886, pp.612-631. Springer, Cham

Lightweight Diffusion-based Framework for Online Imagined Speech Decoding in Aphasia

轻量级扩散框架用于脑卒中患者在线想象言语解码

Eunyeong Ko, Soowon Kim, Ha-Na Jo

机构 * Dept. of Artificial Intelligence（人工智能系） ； Korea University（韩国大学） 纠错

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

AI总结 本文提出了一种轻量级扩散模型，用于实时解码脑卒中患者想象言语，通过优化架构实现高效推理，实验结果显示在真实场景中具有较高的准确率。

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

Magnetoencephalography (MEG) Based Non-Invasive Chinese Speech Decoding

Zhihong Jia, Hongbin Wang, Yuanzhong Shen, Feng Hu, Jiayu An, Kai Shu, Dongrui Wu

机构 * Ministry of Education Key Laboratory of Image Processing and Intelligent Control（教育部图像处理与智能控制重点实验室） ； School of Artificial Intelligence and Automation（人工智能与自动化学院） ； Huazhong University of Science and Technology（华中科技大学） ； Department of Neurosurgery（神经外科科） ； Tongji Hospital（同济医院） ； Tongji Medical College（同济医学院） 纠错

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

Decoding Linguistic Representations of Human Brain

Yu Wang, Heyang Liu, Yuhao Wang, Chuan Xuan, Yixuan Hou, Sheng Feng, Hongcheng Liu, Yusheng Liao, Yanfeng Wang

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

EidetiCom: A Cross-modal Brain-Computer Semantic Communication Paradigm for Decoding Visual Perception

Linfeng Zheng, Peilin Chen, Shiqi Wang

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

A Framework for Preserving Privacy and Cybersecurity in Brain-Computer Interfacing Applications

Maryna Kapitonova, Philipp Kellmeyer, Simon Vogt, Tonio Ball

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

Visual Semantic Decoding of Electrocorticography from Video Stimuli using End-to-End Deep Learning

使用端到端深度学习对视频刺激的脑电信号进行视觉语义解码

Stella Ho, Joel Villalobos, Joseph West, Jingyang Liu, Weijie Qi, Haruhiko Kishima, Ryohei Fukuma, Takufumi Yanagisawa, Sam E. John, David B. Grayden

机构 * The University of Melbourne（墨尔本大学） ； Bionics Institute（仿生研究所） ； The University of Osaka（大阪大学） 纠错

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

AI总结 研究利用端到端深度学习框架对视频刺激的脑电信号进行视觉语义解码，在每个视觉类别训练样本少的情况下评估多种方法，分析最佳方法依赖的信息，所选系统有良好性能且模型行为可解释，与神经科学知识相符。

Comments This is a preprint and has not yet undergone peer review

Assessing Neuromorphic Computing for Fingertip Force Decoding from Electromyography

评估神经形态计算在从肌电信号解码指尖力中的应用

Abolfazl Shahrooei, Luke Arthur, Om Patel, Derek Kamper

机构 * Department of Electrical and Computer Engineering, NC State University, USA（电气与计算机工程系，北卡罗来纳州立大学） ； Lampe Joint Department of Biomedical Engineering, NC State University / University of North Carolina at Chapel Hill, USA（拉姆佩联合生物医学工程系，北卡罗来纳州立大学 / 北卡罗来纳大学教堂山分校） 纠错

专题命中 语音与意图解码 ：neural interface(abstract)；分类 eess.SP、cs.LG

AI总结 本文评估了脉冲神经网络在从肌电信号解码指尖力中的应用，发现TCN在精度上优于SNN，但SNN作为神经形态架构具有潜在的改进空间。

Comments 5 pages, 6 figures. Poster included as ancillary file (IEEE_NER2025_NeuromorphicEMG_poster.pdf). Presented at IEEE EMBS NER 2025, also at NC State College of Engineering Applied AI Symposium and NC State ECE Graduate Research Symposium (tied for Best Poster)

Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review

Dongrui Wu, Jiaxin Xu, Weili Fang, Yi Zhang, Liuqing Yang, Xiaodong Xu, Hanbin Luo, Xiang Yu

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

Comments National Science Open, 2022

Journal ref J. Xu, W. Fang, Y. Zhang, L. Yang, X. Xu, H. Luo and X. Yu, "Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review," National Science Open, 2(1):20220023, 2023

Subject-Independent Classification of Brain Signals using Skip Connections

Soowon Kim, Ji-Won Lee, Young-Eun Lee, Seo-Hyun Lee

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

Comments 4 pages, 3 figures, IEEE BCI winter conference 2023 accepted

From Dyad to Triad: Eliciting XAI Requirements in Stroke Rehabilitation

从二元组到三元组：中风康复中可解释人工智能需求的引出

Param Rajpura, Yogesh Kumar Meena

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

AI总结 研究针对中风康复中引出可解释人工智能需求的挑战，提出基于视频的支架协议，包含类比桥接等四种方法，揭示了参与者的需求及引导偏差，为康复中引出面向患者的XAI需求提供可复用方法，是可靠人机系统设计前提。

Comments AI and Cognitive Computing for Trustworthy Human Machine Systems Session, IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2026)

Machine Learning Methods for Studying Latent Neural Activity Dynamics

研究潜在神经活动动力学的机器学习方法

Shufeng Kong, Fumei Deng, Xinyi Dong, Caihua Liu, Weiwei Chen, Yingheng Wang, Daniel Cao, Azahara Oliva, Antonio Fernandez-Ruiz, Carla Gomes

机构 * School of Software Engineering, Sun Yat-sen University（中山大学软件工程学院） ； Department of Computer Science, Cornell University（康奈尔大学计算机科学系） ； Department of Neurobiology and Behavior, Cornell University（康奈尔大学神经生物学与行为学系） ； Department of Ecology and Evolutionary Biology, Cornell University（康奈尔大学生态学与进化生物学系） ； School of Computer Science and Artificial Intelligence, Foshan University（佛山大学计算机科学与人工智能学院） 纠错

专题命中 语音与意图解码 ：neural decoding(abstract)；分类 cs.LG

AI总结 综述从状态空间模型到深度生成模型的潜在变量模型，涵盖单区域动力学、多区域通信和行为对齐建模，并讨论大规模神经基础模型及未来挑战。

Comments Accepted by IJCAI 2026 survey track

End-to-End Intracortical Speech Decoding from Neural Activity

从神经活动进行端到端的脑皮层内语音解码

Owais Mujtaba Khanday, Jose A. Gonzalez-Lopez, Marc Ouellet, Alberto Galdon, Gonzalo Olivares Granados

机构 * Brain, Mind, and Behavior Research Center（脑、心智与行为研究中心） 纠错

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

AI总结 提出基于Conformer的端到端神经解码器，无需外部语言模型即可从肌萎缩侧索硬化症（ALS）患者的脑皮层内记录中实现字符级解码，字符错误率（CER）为23.80%。

Comments Accepted at Odyssey 2026 (Lisbon)

The Bicameral Model: Bidirectional Hidden-State Coupling Between Parallel Language Models

双通道模型：并行语言模型之间双向隐藏状态耦合

Cedric Flamant, Udaya Ghai, Kanna Shimizu

机构 * AWS Agentic AI（AWS智能AI） 纠错

专题命中 语音与意图解码 ：neural interface(abstract)；分类 cs.LG

AI总结 本文提出双通道模型，通过可训练的神经接口在两个预训练语言模型的中间隐藏状态之间建立双向耦合，实现任务驱动与工具执行的协同，提升多任务性能。

Comments 9 pages main text, 5 figures, 24 pages appendix

Scalable Mamba-Based Message-Passing Neural Decoder for Error-Correcting Codes

可扩展的基于Mamba的消息传递神经解码器用于纠错码

Rostislav Gusev, Nikita Aleksandrov, Artem Solomkin, Dmitry Artemasov

机构 * Skolkovo Institute of Science and Technology（斯克洛夫诺研究所） 纠错

专题命中 语音与意图解码 ：neural decoding(abstract)；分类 cs.LG

AI总结 本文提出一种基于Mamba的消息传递神经解码器，用于二进制线性码，通过局部配对聚合和双向Mamba状态空间块实现高效长距离信息传播，实验显示在(1056, 880) LDPC码上比现有解码器性能提升0.45 dB并减少内存消耗。

Comments This work has been submitted to the IEEE for possible publication

Neural-Inspired Multi-Agent Molecular Communication Networks for Collective Intelligence

神经启发式多智能体分子通信网络用于群体智能

Boran A. Kilic, Ozgur B. Akan

专题命中 语音与意图解码 ：cortical(abstract)；分类 eess.SP

AI总结 本文提出基于生物大脑皮层网络的神经启发式多智能体分子通信网络，通过去中心化架构和阈值放电机制实现群体智能，验证了系统在混沌边缘最大化信息传播与处理能力。

Comments 5 pages, 4 figures, submitted for MOLCOM 26 Workshop

From Muscle to Text with MyoText: sEMG to Text via Finger Classification and Transformer-Based Decoding

从肌肉到文本：MyoText：通过手指分类和基于Transformer的解码实现sEMG到文本

Meghna Roy Chowdhury, Shreyas Sen, Yi Ding

机构 * Purdue University（普渡大学） 纠错

专题命中 语音与意图解码 ：neural interface(abstract)；分类 cs.LG

AI总结 MyoText通过手指分类和Transformer解码实现sEMG到文本的高效转换，提升无键盘打字的准确性和可行性。

Comments 25 pages, 11 tables, 11 figures

Reconstructing Unseen Sentences from Speech-related Biosignals for Open-vocabulary Neural Communication

Deok-Seon Kim, Seo-Hyun Lee, Kang Yin, Seong-Whan Lee

专题命中 语音与意图解码 ：EEG(abstract)；分类 cs.HC

Comments Accepted for publication in IEEE Transactions on Neural Systems and Rehabilitation Engineering

Speech Neurophysiology in Realistic Contexts: Big Hype or Big Leap?

Giovanni M. Di Liberto, Emily Y. J. Ip

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

SACM: SEEG-Audio Contrastive Matching for Chinese Speech Decoding

Hongbin Wang, Zhihong Jia, Yuanzhong Shen, Ziwei Wang, Siyang Li, Kai Shu, Feng Hu, Dongrui Wu

机构 * Hongbin Wang（王宏斌） ； Zhihong Jia（贾志宏） ； Yuanzhong Shen（沈元中） ； Ziwei Wang（王子伟） ； Siyang Li（李思阳） ； Kai Shu（舒凯） ； Feng Hu（胡峰） ； Dongrui Wu（吴东瑞） 纠错

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