脑机接口 / BCI

Neural Signal Compression using RAMAN tinyML Accelerator for BCI Applications

Adithya Krishna, Sohan Debnath, Madhuvanthi Srivatsav, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur

专题命中 神经信号处理 ：neural signal(title,abstract)；BCI(title)；brain-computer interface(abstract)；分类 cs.LG、cs.HC

Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces

Yu Qi, Bin Liu, Yueming Wang, Gang Pan

专题命中 神经信号处理 ：brain-computer interface(title,abstract)；neural decoding(title)；neural signal(abstract)；分类 eess.SP、cs.LG

EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm

Shota Kono, Daiki Aminaka, Shoji Makino, Tomasz M. Rutkowski

专题命中 神经信号处理 ：brain-computer interface(title)；EEG(title)；BCI(abstract)；brain computer interface(abstract)

Comments 6 pages (in conference proceedings original version); 6 figures, submitted to The 9th International Conference on Signal Image Technology & Internet Based Systems, December 2-5, 2013, Kyoto, Japan; to be available at IEEE Xplore; IEEE Copyright 2013

Journal ref Proceedings of the 9th International Conference on Signal Image Technology and Internet Based Systems, (Kyoto, Japan), pp. 812-817, IEEE Computer Society, December 3-5, 2013

MindVoice: Reconstructing Intelligible Speech from Non-invasive Neural Signals with Pretrained Priors

MindVoice: 利用预训练先验从非侵入性神经信号重建可理解语音

Guangyin Bao, Taiping Zeng, Jianfeng Feng, Xiangyang Xue

机构 * Fudan University（复旦大学） 纠错

专题命中 神经信号处理 ：EEG(summary_cn,abstract)；neural signal(title)；brain-computer interface(abstract)

AI总结 提出MindVoice框架，通过解耦语义和声学路径并融合预训练生成模型与语音克隆，从EEG/MEG信号中重建出可理解语音，显著优于现有方法。

NeuroSketch: An Effective Framework for Neural Decoding via Systematic Architectural Optimization

NeuroSketch：通过系统性架构优化实现神经解码的有效框架

Gaorui Zhang, Zhizhang Yuan, Jialan Yang, Junru Chen, Li Meng, Yang Yang

机构 * College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院） ； Shanghai Institute of Microsystem and Information Technology（上海微系统与信息工程研究所） 纠错

专题命中 神经信号处理 ：neural decoding(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

AI总结 NeuroSketch通过系统性架构优化，实现了在视觉、听觉和语音等多模态下的神经解码性能提升，达到最先进的解码效果。

NeuSpeech: Decode Neural signal as Speech

Yiqian Yang, Yiqun Duan, Qiang Zhang, Hyejeong Jo, Jinni Zhou, Won Hee Lee, Renjing Xu, Hui Xiong

专题命中 神经信号处理 ：neural signal(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity

Jann Krausse, Alexandru Vasilache, Klaus Knobloch, Juergen Becker

机构 * Karlsruhe Institute of Technology, Karlsruhe, Germany（卡尔斯鲁厄理工大学） ； Infineon Technologies, Dresden, Germany（英飞凌科技） ； FZI Research Center for Information Technology, Karlsruhe, Germany（弗劳恩霍夫信息与通信技术研究中心） 纠错

专题命中 神经信号处理 ：neural decoding(title,abstract)；cortical(title,abstract)；分类 cs.LG

Comments This paper was accepted and presented at the 2025 Neuro Inspired Computational Elements (NICE) conference

Sparsity Enables Estimation of both Subcortical and Cortical Activity from MEG and EEG

Pavitra Krishnaswamy, Gabriel Obregon-Henao, Jyrki Ahveninen, Sheraz Khan, Behtash Babadi, Juan Eugenio Iglesias, Matti S. Hamalainen, Patrick L. Purdon

专题命中 神经信号处理 ：EEG(title,abstract)；cortical(title,abstract)；分类 q-bio.NC

Comments 12 pages with 6 figures

Neuroadaptive Haptics: Comparing Reinforcement Learning from Explicit Ratings and Neural Signals for Adaptive XR Systems

神经适应性触觉：比较基于显式评分和神经信号的强化学习在自适应XR系统中的应用

Lukas Gehrke, Aleksandrs Koselevs, Marius Klug, Klaus Gramann

专题命中 神经信号处理 ：neural signal(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

AI总结 本文提出利用强化学习结合脑电图信号实现自适应XR触觉反馈，通过比较显式评分与神经信号的性能，验证了隐含神经反馈在个性化触觉适应中的有效性。

Comments 15 pages, 6 figures

Journal ref https://www.frontiersin.org/journals/virtual-reality/articles/10.3389/frvir.2025.1616442/full

Brain-Muscle Atlas: A novel framework for Motor Brain-Computer Interfaces

脑-肌图谱：一种用于运动脑机接口的新框架

Ye Sun, Bowei Zhao, Dezhong Yao, Rui Zhang, Bohan Zhang, Xiaoyuan Li, Jing Wang, Mingxuan Qu, Gang Liu

专题命中 神经信号处理 ：brain-computer interface(title,abstract)；EEG(abstract)；neural signal(abstract)；cortical(abstract)

AI总结 本研究提出脑-肌图谱框架，通过EEG-EMG数据构建运动解码模型，实现对肘关节运动的高精度实时控制。

Comments 14 pages, 9 figures

Gated Uncertainty-Aware Runtime Dual Invariants for Neural Signal-Controlled Robotics

门控不确定性感知的实时双不变量框架用于神经信号控制的机器人

Tasha Kim, Oiwi Parker Jones

机构 * Oxford Robotics Institute (ORI)（牛津机器人研究所） ； Department of Engineering Science（工程科学系） ； University of Oxford（牛津大学） 纠错

专题命中 神经信号处理 ：neural signal(title,abstract)；EEG(abstract)；motor imagery(abstract)；分类 cs.LG、cs.HC、cs.RO

AI总结 GUARDIAN通过结合校准置信度的脑信号解码与符号目标接地和双层运行时监控，实现神经信号控制机器人系统的高安全性和可靠性。

Comments Embodied and Safe-Assured Robotic Systems workshop at NeurIPS 2025

Machine-Learning-Powered Neural Interfaces for Smart Prosthetics and Diagnostics

MohammadAli Shaeri, Jinhan Liu, Mahsa Shoaran

机构 * Institutes of Electrical and Micro Engineering and Neuro-X, EPFL Lausanne, Switzerland（电气与微工程学院及Neuro-X，洛桑联邦理工学院） 纠错

专题命中 神经信号处理 ：neural interface(title,abstract)；neural decoding(abstract)；neural signal(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments To appear in the 2025 IEEE International NEWCAS Conference (NEWCAS'25)

Backward Renormalization Priors and the Cortical Source Localization Problem with EEG or MEG

Leonardo S. Barbosa, Nestor Caticha

专题命中 神经信号处理 ：EEG(title,abstract)；cortical(title)；分类 q-bio.NC

Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces

Alexandru Vasilache, Jann Krausse, Klaus Knobloch, Juergen Becker

机构 * Karlsruhe Institute of Technology, Karlsruhe, Germany（卡尔斯鲁厄理工大学） ； FZI Research Center for Information Technology, Karlsruhe, Germany（弗劳恩霍夫信息与通信技术研究中心） ； Infineon Technologies, Dresden, Germany（英飞凌科技） 纠错

专题命中 神经信号处理 ：cortical(title,abstract)；neural decoding(abstract)；neuroprosthetic(abstract)；分类 q-bio.NC、cs.LG

Comments This work has been accepted at the 2024 IEEE Biomedical Circuits and Systems Conference

NeuroBind: Towards Unified Multimodal Representations for Neural Signals

Fengyu Yang, Chao Feng, Daniel Wang, Tianye Wang, Ziyao Zeng, Zhiyang Xu, Hyoungseob Park, Pengliang Ji, Hanbin Zhao, Yuanning Li, Alex Wong

专题命中 神经信号处理 ：neural signal(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 q-bio.NC、cs.LG

Simple Models, Rich Representations: Visual Decoding from Primate Intracortical Neural Signals

简单模型，丰富表征：从灵长类皮层神经信号进行视觉解码

Matteo Ciferri, Matteo Ferrante, Nicola Toschi

机构 * University of Rome, Tor Vergata Department of Biomedicine and Prevention（罗马大学Tor Vergata医学院与预防学院） ； A.A. Martinos Center for Biomedical Imaging（A.A. Martinos生物医学成像中心） ； Harvard Medical School/MGH, Boston (US)（哈佛医学院/麻省总医院，波士顿（美国）） 纠错

专题命中 神经信号处理 ：neural signal(title,abstract)；brain-computer interface(abstract)；neural decoding(abstract)；分类 q-bio.NC

AI总结 本文提出一种简单模型，通过结合时间注意力和浅层MLP，实现70%的图像检索准确率，优于传统方法，为脑机接口和语义解码提供新框架。

Comments Presented at "Foundation Models for the Brain and Body" - NeurIPS 2025 Workshop

Journal ref Imaging Neuroscience (2026) 4: IMAG.a.1299

More than a feeling: Expressive style influences cortical speech tracking in subjective cognitive decline

不仅仅是感觉：表达风格影响主观认知下降中的皮层语音追踪

Matthew King-Hang Ma, Yun Feng, Cloris Pui-Hang Li, Manson Cheuk-Man Fong

专题命中 神经信号处理 ：cortical(title,abstract)；EEG(abstract,abstract_cn)；分类 q-bio.NC

AI总结 研究主观认知下降（SCD）患者听自然语音时的神经动态，发现皮层追踪强度（CTS）对亚音节语言特征和韵律平坦语音的减弱可作为早期认知衰退的潜在神经标志。

Comments Accepted at Interspeech 2026. Contains minor updates over the last version following peer review

Control of a commercially available vehicle by a tetraplegic human using a brain-computer interface

通过脑机接口控制商用汽车的瘫痪人类

Xinyun Zou, Jorge Gamez, Meghna Menon, Phillip Ring, Chadwick Boulay, Likhith Chitneni, Jackson Brennecke, Shana R. Melby, Gracy Kureel, Kelsie Pejsa, Emily R. Rosario, Ausaf A. Bari, Aniruddh Ravindran, Tyson Aflalo, Spencer S. Kellis, Dimitar Filev, Florian Solzbacher, Richard A. Andersen

机构 * California Institute of Technology（加州理工学院） ； Ford Motor Company（福特汽车公司） ； Blackrock Neurotech（黑石神经技术公司） ； Casa Colina Hospital and Centers for Healthcare（卡萨科利纳医院与医疗中心） ； University of California Los Angeles（加州大学洛杉矶分校） ； University of Southern California（南加州大学） ； The University of Utah（犹他大学） 纠错

专题命中 神经信号处理 ：brain-computer interface(title,abstract)；BCI(abstract)；neural signal(abstract)；分类 cs.RO

AI总结 研究通过脑机接口实现瘫痪患者在模拟和真实环境中的车辆操控，证明其与正常人相当的操控速度和精度，展示了BCI在驾驶控制中的可行性与创新性。

Comments 50 pages, 7 figures, 1 table. 27 supplementary pages, 9 supplementary figures, 13 supplementary tables, 9 supplementary movies available as ancillary files

Lateral Ventricular Brain-Computer Interface System with Lantern-Inspired Electrode for Stable Performance and Memory Decoding

Yike Sun, Yaxuan Gao, Kewei Wang, Jingnan Sun, Yuzhen Chen, Yanan Yang, Tianhua Zhao, Haochen Zhu, Ran Liu, Xiaogang Chen, Bai Lu, Xiaorong Gao

专题命中 神经信号处理 ：brain-computer interface(title,abstract)；BCI(abstract)；neural signal(abstract)；分类 q-bio.NC

A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data

Shengjie Zheng, Wenyi Li, Lang Qian, Chenggang He, Xiaojian Li

专题命中 神经信号处理 ：brain-computer interface(title,abstract)；BCI(abstract)；neural signal(abstract)；分类 q-bio.NC

Comments 12pages , 9 figures

Journal ref 31st International Conference on Artificial Neural Networks 2022

Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping

Matthew J. Bryan, Linxing Preston Jiang, Rajesh P N Rao

专题命中 神经信号处理 ：cortical(title,abstract)；brain-computer interface(abstract)；neuroprosthetic(abstract)；分类 q-bio.NC

Comments 45 pages, 19 figures. Submitted the IOP Journal of Neural Engineering

Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition

Cailin Winston, Caleb Winston, Chloe N Winston, Claris Winston, Cleah Winston, Rajesh PN Rao, René Just

专题命中 神经信号处理 ：brain-computer interface(title,abstract)；BCI(abstract)；neural signal(abstract)；分类 cs.LG

Comments Accepted at International Conference on Software Engineering (ICSE-2022)

Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling

Sergio López Bernal, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Michael Taynnan Barros, Sasitharan Balasubramaniam, Gregorio Martínez Pérez

专题命中 神经信号处理 ：neural signal(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；分类 q-bio.NC

Development of a Game with a Purpose for Acquisition of Brain-Computer Interface Data

Joe T. Rexwinkle, Gregory Lieberman, Matthew Jaswa, Brent J. Lance

专题命中 神经信号处理 ：brain-computer interface(title,abstract)；BCI(abstract)；neural signal(abstract)；分类 cs.HC

Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation

Zhengwei Wang, Graham Healy, Alan F. Smeaton, Tomas E. Ward

专题命中 神经信号处理 ：neural signal(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；分类 cs.HC

Journal ref Cognitive Computation, August 2019

Reconfiguring motor circuits for a joint manual and BCI task

Benjamin Lansdell, Ivana Milovanovic, Cooper Mellema, Eberhard E Fetz, Adrienne L Fairhall, Chet T Moritz

专题命中 神经信号处理 ：BCI(title,abstract)；brain-computer interface(abstract)；cortical(abstract)；分类 q-bio.NC

Comments 17 pages, 5 figures, 2 supplementary figures. Minor revisions

Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

Jennifer Stiso, Marie-Constance Corsi, Jean M. Vettel, Javier O. Garcia, Fabio Pasqualetti, Fabrizio De Vico Fallani, Timothy H. Lucas, Danielle S. Bassett

专题命中 神经信号处理 ：brain-computer interface(title,abstract)；BCI(abstract)；motor imagery(abstract)；分类 q-bio.NC

Translating neural signals to text using a Brain-Machine Interface

Janaki Sheth, Ariel Tankus, Michelle Tran, Nader Pouratian, Itzhak Fried, William Speier

专题命中 神经信号处理 ：neural signal(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；分类 cs.HC

Comments 10 pages, 4 figures

Minimizing inter-subject variability in fNIRS based Brain Computer Interfaces via multiple-kernel support vector learning

Berdakh Abibullaev, Jinung An, Seung-Hyun Lee, Sang-Hyeon Jin, Jeon-Il Moon

专题命中 神经信号处理 ：brain computer interface(title)；BCI(abstract)；brain-computer interface(abstract)；neural signal(abstract)

Comments This paper has been withdrawn by the author due to an error in equation 19

Self-Supervised Consistency Enhanced Disentangled Learning for Neural Decoding Generalization in Brain-Machine Interface

用于脑机接口神经解码泛化的自监督一致性增强解缠学习

Jiyu Wei, Di Hong, Zhanjie Zhang, Dazhong Rong, Qinming He, Yueming Wang

机构 * College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院） ； Nanhu Brain-Computer Interface Institute（南湖脑机接口研究院） 纠错

专题命中 神经信号处理 ：neural decoding(title,abstract)；neural signal(abstract)；分类 eess.SP、cs.HC、cs.RO

AI总结 研究脑机接口因神经漂移致性能下降问题，提出自监督一致性增强解缠学习框架（SSCDL）。通过设计一致性增强神经解码器及采用互补解缠泛化机制，学习鲁棒表征，实现跨日泛化，提升解码性能，展现长期交互潜力。