脑机接口 / BCI

Modeling Grasp Motor Imagery through Deep Conditional Generative Models

Matthew Veres, Medhat Moussa, Graham W. Taylor

专题命中 运动想象 ：motor imagery(title,abstract)；分类 cs.RO

Comments Accepted for publication in Robotics and Automation Letters (RA-L)

Transferring Spatial Filters via Tangent Space Alignment in Motor Imagery BCIs

Tekin Gunasar, Virginia de Sa

机构 * Cognitive Science（认知科学） ； Halicioglu Data Science Institute UC San Diego（哈利奇奥格卢数据科学研究所UC圣地亚哥） 纠错

专题命中 运动想象 ：motor imagery(title,abstract)

Security in Brain-Computer Interfaces: State-of-the-art, opportunities, and future challenges

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

专题命中 运动想象 ：brain-computer interface(title)；BCI(abstract)

Low count of optically pumped magnetometers furnishes a reliable real-time access to sensorimotor rhythm

Nikita Fedosov, Daria Medvedeva, Oleg Shevtsov, Alexei Ossadtchi

专题命中 运动想象 ：BCI(abstract)；brain-computer interface(abstract)；motor imagery(abstract)；分类 q-bio.NC

Comments 16 pages, 14 figures, 2 tables

Visual Motion Imagery Classification with Deep Neural Network based on Functional Connectivity

Byoung-Hee Kwon, Ji-Hoon Jeong, Seong-Whan Lee

专题命中 运动想象 ：BCI(abstract)；brain-computer interface(abstract)；motor imagery(abstract)；分类 cs.HC

Comments Research has advanced further

Towards Multi-class Pre-movement Classification

Hao Jia, Zhe Sun, Feng Duan, Yu Zhang, Cesar F. Caiafa, Jordi Solé-Casals

专题命中 运动想象 ：brain-computer interface(abstract)；EEG(abstract)；cortical(abstract)；分类 cs.HC

A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs

Yang Li, Mengying Lei, Weigang Cui, Yuzhu Guo, Hua-Liang Wei

专题命中 运动想象 ：EEG(abstract)；motor imagery(abstract)；cortical(abstract)；分类 eess.SP

Decoding Complex Imagery Hand Gestures

Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus

专题命中 运动想象 ：brain computer interface(abstract)；EEG(abstract)；motor imagery(abstract)；分类 cs.HC

Comments This work has been submitted to EMBC 2017

Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys

猴子自然全身运动的神经-行为表征

Jieshi He, Puzhe Li, Yanan Sui, Mu-ming Poo

机构 * Center for Excellence in Brain Science and Intelligence Technology, CAS（脑科学与智能技术 excellence 中心，中国科学院） ； Tsinghua University（清华大学） 纠错

专题命中 运动想象 ：neural signal(abstract)；cortical(abstract)；分类 q-bio.NC、cs.LG

AI总结 通过大规模皮层信号与多视角运动捕捉，结合自回归编码器-解码器模型，实现了对自由运动猴子全身运动的准确解码。

Neural Control and Learning of Simulated Hand Movements With an EMG-Based Closed-Loop Interface

基于EMG的闭环接口的神经控制与学习：模拟手部运动

Balint K. Hodossy, Dario Farina

专题命中 运动想象 ：neural signal(abstract)；neural interface(abstract)；分类 q-bio.NC、cs.HC

AI总结 本文提出了一种结合肌肉骨骼模拟、强化学习和在线肌电合成的神经机械模型，用于模拟手部运动并评估神经控制器。

SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding

Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy Orsborn, Uygar Sümbül, Eli Shlizerman

机构 * University of Washington（华盛顿大学） ； University of California, Los Angeles（加州大学洛杉矶分校） ； Tsinghua University（清华大学） ； Allen Institute（艾伦研究所） 纠错

专题命中 运动想象 ：brain-computer interface(abstract)；neural decoding(abstract)；分类 q-bio.NC、cs.LG

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Gorriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya

专题命中 运动想象 ：BCI(abstract)；brain-computer interface(abstract)；分类 eess.SP、cs.LG

Journal ref Computers in Biology and Medicine, 2022, 106053

Identification of Intended Arm Movement Using Electrocorticographic Signals

Amin Behdad, Amro Nour, Arash Zereshkian, Cesar Marquez Chin, Milos Popovic

专题命中 运动想象 ：BCI(abstract)；brain computer interface(abstract)；分类 q-bio.NC、cs.HC

Nonsmooth Formulation of the Support Vector Machine for a Neural Decoding Problem

支持向量机在神经解码问题中的非光滑形式

Cary Humber, Kazufumi Ito, Chad Bouton

专题命中 运动想象 ：neural decoding(title)

AI总结 本文提出一种广义分类算法，应用于解码大脑神经活动，通过非光滑支持向量机形式处理神经放电数据，识别与不同想象运动相关的神经元及其放电模式变化。

A cell membrane model that reproduces cortical flow-driven cell migration and collective movement

Katsuhiko Sato

专题命中 运动想象 ：cortical(title)

Comments 5 figures

Towards simultaneous decoding of kinetic and kinematic movement parameters during grasp and lift task by noninvasive brain imaging

通过无创脑成像在抓握和举起任务中同时解码动力学和运动学运动参数

Parth G. Dangi, Yogesh Kumar Meena

专题命中 运动想象 ：EEG(abstract,abstract_cn)；分类 cs.HC

AI总结 研究旨在通过无创脑成像在抓握和举起任务中同时解码运动参数，提出偏最小二乘回归器、多层感知器和基于注意力的回归器三种模型，以脑电图信号解码，在特定数据集上评估，基于注意力的回归器在多参数解码表现最佳，为BMI系统发展助力。

Comments 6 pages, 3 figures, 2 tables, selected to be presented at Brain-Machine Interface (BMI) Systems Session, IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2026)

BrainDistill: Implantable Motor Decoding with Task-Specific Knowledge Distillation

BrainDistill: 可植入式运动解码与任务特定知识蒸馏

Yuhan Xie, Jinhan Liu, Xiaoyong Ni, Fei Tan, Icare Sakr, Thibault Collin, Shiqi Sun, Alejandro Rodriguez Guajardo, Demon Fanny, Charles-francois Vincent Latchoumane, Henri Lorach, Jocelyne Bloch, Gregoire Courtine, Mahsa Shoaran

机构 * Neuro-X Institute, EPFL, Geneva, Switzerland（Neuro-X研究所，EPFL，瑞士日内瓦） ； NeuroRestore, Defitech Center for Interventional Neurotherapies, EPFL/CHUV/UNIL, Lausanne, Switzerland（NeuroRestore，介入神经治疗中心，EPFL/CHUV/UNIL，瑞士洛桑） ； Department of Medicine, University of Fribourg, Fribourg, Switzerland（医学系，弗里堡大学，瑞士弗里堡） ； Department of Clinical Neuroscience, Lausanne University Hospital (CHUV)（临床神经科学系，洛桑大学医院（CHUV）） ； University of Lausanne (UNIL), Lausanne, Switzerland（洛桑大学（UNIL），瑞士洛桑） ； Department of Neurosurgery, CHUV, Lausanne, Switzerland（神经外科系，CHUV，瑞士洛桑） 纠错

专题命中 运动想象 ：BCI(abstract)；brain-computer interface(abstract)；分类 cs.LG

AI总结 BrainDistill通过整合可植入神经解码器与任务特定知识蒸馏框架，实现了在电力受限环境下高效运动解码。

Comments 21 pages,7 figures

Auditory Conversational BAI: A Feasibility Study

Michal Robert Žák, Moritz Grosse-Wentrup

专题命中 运动想象 ：BCI(abstract)；brain-computer interface(abstract)；分类 cs.HC

Comments Created for the NAT conference 2025 (https://neuroadaptive.org/conference/2025/)

Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface

Diu Khue Luu, Anh Tuan Nguyen, Ming Jiang, Markus W. Drealan, Jian Xu, Tong Wu, Wing-kin Tam, Wenfeng Zhao, Brian Z. H. Lim, Cynthia K. Overstreet, Qi Zhao, Jonathan Cheng, Edward W. Keefer, Zhi Yang

专题命中 运动想象 ：neuroprosthetic(abstract)；分类 q-bio.NC、cs.LG、cs.HC

Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks

Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee

专题命中 运动想象 ：EEG(abstract)；motor imagery(abstract)；分类 cs.HC

Comments 6 pages, 3 figures

AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video

Nancy Xin Ru Wang, Ali Farhadi, Rajesh Rao, Bingni Brunton

专题命中 运动想象 ：neural decoding(abstract)；neural signal(abstract)；分类 q-bio.NC

Journal ref Thirty-Second AAAI Conference On Artificial Intelligence (2018)

Electrocorticogram encoding of upper extremity movement trajectories

Po T. Wang, Christine E. King, Andrew Schombs, Jack J. Lin, Mona Sazgar, Frank P. K. Hsu, Susan J. Shaw, David E. Millett, Charles Y. Liu, Luis A. Chui, Zoran Nenadic, An H. Do

专题命中 运动想象 ：BCI(abstract)；brain computer interface(abstract)；分类 q-bio.NC

Comments Preliminary report. We have not completed full analyses

Bias in Surface Electromyography Features across a Demographically Diverse Cohort

表面肌电特征在人口多样化群体中的偏见

Aditi Agrawal, Celine John Philip, Giancarlo K. Sagastume, Marcus A. Battraw, Wilsaan M. Joiner, Jonathon S. Schofield, Lee M. Miller, Richard S. Whittle

机构 * Graduate Group in Computer Science, University of California, Davis（计算机科学研究生组，加州大学戴维斯分校） ； Department of Electrical and Computer Engineering, University of California, Davis（电气与计算机工程系，加州大学戴维斯分校） ； Department of Mechanical and Mechatronic Engineering and Advanced Manufacturing, California State University, Chico（机械与机电工程及先进制造系，加州州立大学奇科分校） ； Department of Neurobiology, Physiology & Behavior, University of California, Davis（神经生物学、生理学与行为系，加州大学戴维斯分校） ； Department of Otolaryngology / Head & Neck Surgery, University of California, Davis（耳鼻喉科/头颈外科系，加州大学戴维斯分校） ； Center for Mind & Brain, University of California, Davis（心智与大脑中心，加州大学戴维斯分校） ； Department of Mechanical & Aerospace Engineering, University of California, Davis（机械与航空航天工程系，加州大学戴维斯分校） 纠错

专题命中 运动想象 ：neural interface(abstract)；分类 cs.LG、cs.HC

AI总结 研究探讨了人口差异对肌电信号的影响及其对基于机器学习的手势解码的 implications，发现33%的常用肌电特征与人口特征显著相关，有助于开发公平的神经接口。

Comments 17 pages, 4 Figures

RPNT: Robust Pre-trained Neural Transformer -- A Pathway for Generalized Motor Decoding

RPNT：鲁棒预训练神经变换器——通用运动解码的路径

Hao Fang, Ryan A. Canfield, Tomohiro Ouchi, Beatrice Macagno, Eli Shlizerman, Amy L. Orsborn

机构 * University of Washington（华盛顿大学） ； Washington National Primate Research Center（华盛顿国家灵长类研究中心） 纠错

专题命中 运动想象 ：cortical(abstract)；分类 eess.SP、cs.LG

AI总结 本文提出RPNT模型，通过预训练实现鲁棒泛化，提升多任务、多主体和多会话的运动解码性能。

Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition

Ryohei Fukuma, Kei Majima, Yoshinobu Kawahara, Okito Yamashita, Yoshiyuki Shiraishi, Haruhiko Kishima, Takufumi Yanagisawa

专题命中 运动想象 ：neural decoding(abstract)；分类 eess.SP、cs.LG

A pilot study of the Earable device to measure facial muscle and eye movement tasks among healthy volunteers

Matthew F. Wipperman, Galen Pogoncheff, Katrina F. Mateo, Xuefang Wu, Yiziying Chen, Oren Levy, Andreja Avbersek, Robin R. Deterding, Sara C. Hamon, Tam Vu, Rinol Alaj, Olivier Harari

专题命中 运动想象 ：EEG(abstract)；分类 eess.SP、cs.HC

Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings

Sabera Talukder, Jennifer J. Sun, Matthew Leonard, Bingni W. Brunton, Yisong Yue

专题命中 运动想象 ：neural decoding(abstract)；分类 q-bio.NC、cs.LG

T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis

Minhao Liu, Ailing Zeng, Qiuxia Lai, Qiang Xu

专题命中 运动想象 ：brain-computer interface(abstract)；分类 eess.SP、cs.LG

Multistep Model for Predicting Upper-Limb 3D Isometric Force Application from Pre-Movement Electrocorticographic Features

Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele, Jared D. Olson, Rajesh P. N. Rao, Jeffrey G. Ojemann

专题命中 运动想象 ：cortical(abstract)；分类 q-bio.NC、cs.HC

Comments 4 pages, 3 figures, accepted to EMBC 2016 (38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society)

A sub-Riemannian model of neural states in the primary motor cortex

初级运动皮层神经状态的一个子黎曼模型

Caterina Mazzetti, Jawad Ali, Alessandro Sarti, Giovanna Citti

专题命中 运动想象 ：cortical(abstract)；分类 q-bio.NC

AI总结 基于子黎曼几何框架，通过运动学参数定义片段空间，引入几何核模拟皮层连接，成功从皮层活动模型中恢复出神经状态，验证了运动学变量和距离度量足以解释神经状态形成。

Journal ref Mathematical Neuroscience and Applications, Volume 6, Applications (June 25, 2026) mna:15057