脑机接口 / BCI

Exploring the Impact of Cochlear Implant Stimulation Artefacts in EEG Recordings: Unveiling Potential Benefits

Hongmei Hu, Ben Williges, Deborah Vickers

专题命中 神经假体 ：EEG(title,abstract)

Comments This paper has been submitted for the 32nd European Signal Processing Conference EUSIPCO 2024 in Lyon

Feedback-assisted Femtosecond Pulsed Laser Ablation of Non-Planar Metal Surfaces: Fabrication of Optical Apertures on Tapered Fibers for Optical Neural Interfaces

Antonio Balena, Marco Bianco, Filippo Pisano, Marco Pisanello, Leonardo Sileo, Bernardo Sabatini, Massimo De Vittorio, Ferruccio Pisanello

专题命中 神经假体 ：neural interface(title,abstract)

Comments 15 pages, 5 figures

Design and Simulation of Memristor-Based Artificial Neural Network for Bidirectional Adaptive Neural Interface

Sergey Shchanikov, Anton Zuev, Ilya Bordanov, Sergey Danilin, Dmitry Korolev, Alexey Belov, Yana Pigareva, Alexey Pimashkin, Alexey Mikhaylov, Victor Kazantsev

专题命中 神经假体 ：neural interface(title,abstract)

Comments 24 pages, 8 figures, Supplementary Material

Physiological Noise Augmentation Improves Non-Invasive Brain-to-Speech

生理噪声增强提升非侵入式脑语音解码性能

Benjamin Ballyk, Teyun Kwon, Miran Özdogan, Oiwi Parker Jones

机构 * PNPL Department of Engineering Science（PNPL工程科学系） 纠错

专题命中 神经假体 ：EEG(abstract,abstract_cn)；BCI(abstract_cn)；分类 cs.LG

AI总结 针对非侵入式脑语音解码信噪比低、字错误率高的问题，提出生理噪声增强数据增强方法，生成符合生物物理特性的训练样本，大幅提升解码准确率与脑机接口鲁棒性。

Comments 18 pages, 10 figures

Antenna System for Simultaneous Wireless Power and Information Transfer to Brain Implants

用于脑植入物同时无线功率和信息传输的天线系统

Ali Khaleghi, Aminolah Hassanvand, Ilangko Balasingham

专题命中 神经假体 ：BCI(abstract,abstract_cn)；brain-computer interface(abstract)；分类 eess.SP

AI总结 提出一种无电池无线脑机接口系统，采用双功能天线实现感应耦合无线供电和背散射高速数据传输（32 Mbps），消除导线并保持能效。

Comments Published at IMBioC 2024. Part of the B-CRATOS project, Horizon 2020 FET-OPEN, grant 965044

Journal ref 2024 18th European Conference on Antennas and Propagation (EuCAP), Glasgow, United Kingdom, 2024, pp. 1-5

Sense of Agency in Closed-loop Muscle Stimulation

Lukas Gehrke, Leonie Terfurth, Klaus Gramann

专题命中 神经假体 ：BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 cs.HC

Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding

Jingyuan Li, Yansen Wang, Nie Lin, Dongsheng Li

专题命中 神经假体 ：BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 eess.SP

Towards an End-to-End Framework for Invasive Brain Signal Decoding with Large Language Models

Sheng Feng, Heyang Liu, Yu Wang, Yanfeng Wang

专题命中 神经假体 ：BCI(abstract)；brain-computer interface(abstract)；neural signal(abstract)；分类 q-bio.NC

Journal ref Proceedings of Interspeech2024

More Electrodes, Faster Minds? Rethinking Bandwidth in Brain-Computer Interfaces

更多电极，更快思维？重新思考脑机接口中的带宽

Boxuan Jiang

专题命中 神经假体 ：brain-computer interface(title)；分类 q-bio.NC、cs.HC

AI总结 探讨脑机接口中人类有意义输入/输出增益与接口容量的关系，区分多种相关概念，指出缓慢更新任务状态的演变方式及可解码神经活动的作用，表明缩放关系可能非线性，高容量接口有收益但极端增加会遇限制。

On the Identifiability of User Adaptation in Co-Adaptive Neural Interfaces

关于共适应神经接口中用户适应性的可识别性研究

Philip Waggoner

机构 * Stanford University（斯坦福大学） 纠错

专题命中 神经假体 ：neural interface(title)；分类 cs.HC

AI总结 分析共适应人机系统的可识别性，证明闭环编码器估计不能唯一识别用户适应性，而反映联合系统特性，讨论行为适应解释的含义并提出识别条件。

Comments 4 pages, 6 equations, 1 theorem, 1 proof

Decoding Neural Signals: Invasive BMI Review

Rezwan Firuzi, Ayub Bokani, Jahan Hassan, Hamed Ahmadyani, Mohammad Foad Abdi, Dana Naderi, Diako Ebrahimi

专题命中 神经假体 ：neural signal(title)；分类 cs.HC

Comments We have made significant changes to this article

Masked Autoencoders Learn Perception-Relevant Representations from Resting State Neural Data

掩码自动编码器从静息态神经数据中学习与感知相关的表示

Aleksandr Kovalev, Antonio Lozano, Fabrizio Grani, Cristina Soto Sanchez, Leili Soo, Rocío López-Peco, Adrian Villamarin-Ortiz, Roberto Morollón Ruiz, María del Mar Ayuso Arroyave, Alfonso Rodil, Eduardo Fernández

专题命中 神经假体 ：neural decoding(abstract)；cortical(abstract)；分类 q-bio.NC、cs.LG

AI总结 研究利用自监督学习，通过在盲人参与者V1区的自发神经活动上预训练掩码自动编码器，测试能否改善感知解码。结果显示该方法有效，表明自发皮层活动有价值，无监督预训练是改善神经解码的好策略。

Comments 6 papers, 4 figures. NeuroAI Workshop, AAAI 2026

Journal ref Proceedings of the First Workshop on NeuroAI Multimodal Intelligence @ AAAI 2026, PMLR 308:93-98, 2026

What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval

我们究竟在解码什么？非侵入式脑到语言检索的源归因

Xinyu Zhang, Sichao Liu, Runhao Lu, Alexandra Woolgar, Lihui Wang

机构 * KTH（瑞典皇家理工学院） ； University of Cambridge（剑桥大学） ； EPFL（苏黎世联邦理工学院） ； Karolinska Institutet（Karolinska研究所） ； McGill University（麦吉尔大学） 纠错

专题命中 神经假体 ：EEG(abstract,abstract_cn)；分类 q-bio.NC、cs.LG

AI总结 针对非侵入式神经语言解码中结果被非刺激诱发源（如解码器先验、嵌入度量、信号时长等）膨胀的问题，提出一个审计框架，通过结构捷径、窗口级刺激锁定证据和跨窗口上下文聚合三种源分离，并引入组上下文偏差（GCB）作为可控的源归因干预，实现性能的源归因而非仅报告。

Comments 35 pages, 7 figures, 25 tables

Brain-to-Text Decoding: A Non-invasive Approach via Typing

Jarod Lévy, Mingfang Zhang, Svetlana Pinet, Jérémy Rapin, Hubert Banville, Stéphane d'Ascoli, Jean-Rémi King

专题命中 神经假体 ：brain-computer interface(abstract)；EEG(abstract)；分类 eess.SP、cs.HC

Comments 15 pages, 5 figures

MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System

Maha Nawaz, Abdul Basit, Muhammad Shafique

专题命中 神经假体 ：brain computer interface(abstract)；EEG(abstract)；分类 cs.HC、cs.RO

Comments 8 pages, 22 figures, Paper accepted at ICARCV 2024, funded by CAIR

A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures

一种用于癫痫发作渐进预测的多模态非侵入式深度学习框架

Ali Saeizadeh, Douglas Schonholtz, Joseph S. Neimat, Pedram Johari, Tommaso Melodia

机构 * Institute for the Wireless Internet of Things, Northeastern University, Boston, MA, U.S.A.（无线物联网研究所，东北大学，波士顿，马萨诸塞州，美国） ； University of Louisville, Louisville, KY, U.S.A.（路易斯维尔大学，路易斯维尔，肯塔基州，美国） 纠错

专题命中 神经假体 ：EEG(abstract,abstract_cn)；分类 eess.SP

AI总结 本文提出一种基于非侵入式多模态传感器网络的深度学习框架，用于癫痫发作的渐进预测，通过提高预测精度和实时处理能力，实现95%的灵敏度和98%的特异度。

Comments 4 pages, 5 figures, Proceedings of the IEEE 20th International Conference on Body Sensor Networks (BSN), October 2024

Journal ref 2024 IEEE 20th International Conference on Body Sensor Networks (BSN)

A region-specific brain dysfunction underlies cognitive impairment in long COVID brain fog

特定区域的脑功能障碍导致长期新冠脑雾的认知障碍

Jinhao Yang, Shaojiong Zhou, Zhibin Wang, Jiahua Xu, Jia Chen, Zhouqian Yin, Tao Wei, Chaofan Geng, Xiaoduo Liu, Xiang Li, Xiaoyu Zhou, Kun Li, Ruolei Gu, Raymond Dolan, Yi Tang, Yunzhe Liu

专题命中 神经假体 ：EEG(abstract)；cortical(abstract)；分类 q-bio.NC

AI总结 研究发现右下顶叶岛叶功能障碍导致长期新冠认知障碍，通过非侵入性神经调节可改善感知缺陷。

Comments 58 pages, 6 figures

Towards Electrophysiological and Histological Mapping of Upper Limb Nerves in Pigs Using Epineural Stimulation

Jonathan Baum, Chamot-Nonin Manon, Oppelt Vera, David Guiraud, Christine Azevedo Coste, Thomas Guiho

专题命中 神经假体 ：neuroprosthetic(abstract)；neural interface(abstract)；分类 eess.SP

Comments FESWS 2025 - 15th Vienna International Workshop on Functional Electrical Stimulation & 30 years IFESS Anniversary, IFESS, Sep 2025, Vienna, Austria

Theoretical framework of passive ME antenna arrays enabling in-vivo monitoring: A pathway to smart implants

Kalpesh Jaykar, Prasanth Velvaluri, Nian X. Sun, Richard D. James

专题命中 神经假体 ：BCI(abstract)；brain-computer interface(abstract)；分类 eess.SP

A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings

Yi Guo, Yihang Dong, Michael Kwok-Po Ng, Shuqiang Wang

机构 * Shenzhen Institute of Advanced Technology（深圳先进技术研究院） ； Chinese Academy of Sciences（中国科学院） ； University of Chinese Academy of Sciences（中国科学院大学） ； Hong Kong Baptist University（香港 Baptist大学） 纠错

专题命中 神经假体 ：BCI(abstract)；brain-computer interface(abstract)；分类 q-bio.NC

Early Assessment of Artificial Lower Extremity Sensory Response Times and Proprioceptive Acuity via Sensory Cortex Electrical Stimulation

Won Joon Sohn, Jeffrey Lim, Po T. Wang, Susan J. Shaw, Michelle Armacost, Hui Gong, Brian Lee, Darrin Lee, Payam Heydari, Richard A. Andersen, Charles Y. Liu, Zoran Nenadic, An H. Do

专题命中 神经假体 ：brain computer interface(abstract)；cortical(abstract)；分类 q-bio.NC

Comments 6 page conference proceeding pre-print, 3 figures, 4 tables

Unlocking Non-Invasive Brain-to-Text

Dulhan Jayalath, Gilad Landau, Oiwi Parker Jones

专题命中 神经假体 ：BCI(abstract)；brain-computer interface(abstract)；分类 cs.LG

Comments 27 pages, 10 figures, 10 tables. Under review

Variability in Grasp Type Distinction for Myoelectric Prosthesis Control Using a Non-Invasive Brain-Machine Interface

Corentin Piozin, Lisa Bouarroudj, Jean-Yves Audran, Brice Lavrard, Catherine Simon, Florian Waszak, Selim Eskiizmirliler

专题命中 神经假体 ：EEG(abstract)；motor imagery(abstract)；分类 eess.SP

Beyond Sight: Probing Alignment Between Image Models and Blind V1

Jacob Granley, Galen Pogoncheff, Alfonso Rodil, Leili Soo, Lily Marie Turkstra, Lucas Gil Nadolskis, Arantxa Alfaro Saez, Cristina Soto Sanchez, Eduardo Fernandez Jover, Michael Beyeler

专题命中 神经假体 ：cortical(abstract)；neural interface(abstract)；分类 q-bio.NC

Comments Accepted preprint version

Closed-loop control of gamma oscillations in the brain connections through the transcranial stimulations

Xuan Zhang, Duoyu Feng, Djibrina Barry, Jiajia Li

专题命中 神经假体 ：EEG(abstract)；cortical(abstract)；分类 q-bio.NC

Assessing Rate limits Using Behavioral and Neural Responses of Interaural-Time-Difference Cues in Fine-Structure and Envelope

Hongmei Hu, Stephan Ewert, Birger Kollmeier, Deborah Vickers

专题命中 神经假体 ：EEG(abstract)；cortical(abstract)；分类 q-bio.NC

NeuralTree: A 256-Channel 0.227-$μ$J/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC

Uisub Shin, Cong Ding, Bingzhao Zhu, Yashwanth Vyza, Alix Trouillet, Emilie C. M. Revol, Stéphanie P. Lacour, Mahsa Shoaran

专题命中 神经假体 ：EEG(abstract)；neural interface(abstract)；分类 eess.SP

Journal ref IEEE Journal of Solid-State Circuits, vol. 57, no. 11, pp. 3243-3257, Nov. 2022

A Survey on Brain-Computer Interaction

Bosubabu Sambana, Priyanka Mishra

专题命中 神经假体 ：BCI(abstract)；brain-computer interface(abstract)；分类 cs.HC

Comments 13 Pages, 6 Figures

Journal ref arXiv:2201.00997v3 [cs.HC] 03 January 2022

Brain Co-Processors: Using AI to Restore and Augment Brain Function

Rajesh P. N. Rao

专题命中 神经假体 ：brain-computer interface(abstract)；neural decoding(abstract)；分类 q-bio.NC

Comments arXiv admin note: text overlap with arXiv:1811.11876

A Cyclic Adaptation-Generalization Framework with Uncertainty-Guided Self-Paced Learning for Long-Term Brain-Machine Interfaces

一种用于长期脑机接口的具有不确定性引导自步学习的循环适应-泛化框架

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（南湖脑机接口研究所） 纠错

专题命中 神经假体 ：neural decoding(abstract)；分类 eess.SP、cs.HC、cs.RO

AI总结 针对侵入性脑机接口因神经漂移面临的长期部署挑战，提出UnSPC框架，通过UnSPL机制协同DA和DG，利用噪声鲁棒排序策略挖掘可靠伪标签样本，引入CycAG策略整合DA和DG，经实验验证其有效性和鲁棒性，为长期BMI控制铺路。