arXivDaily arXiv每日学术速递 周一至周五更新

科学与医疗

脑机接口 / BCI

脑机接口、EEG、神经信号解码、神经假体和脑控交互。

共收录 2241 信号源:q-bio.NC, eess.SP, cs.LG, cs.HC, cs.RO

1. 神经信号处理 2241 篇

2104.07062 2021-04-16 q-bio.NC 83%

Decoding of the Walking States and Step Rates from Cortical Electrocorticogram Signals

Po T. Wang, Colin M. McCrimmon, Susan J. Shaw, Hui Gong, Luis A. Chui, Payam Heydari, Charles Y. Liu, An H. Do, Zoran Nenadic

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

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1902.10455 2019-02-28 q-bio.QM q-bio.NC 83%

Cortical recruitment and functional dynamics in postural control adaptation and habituation during vibratory proprioceptive stimulation

KJ Edmunds, H Petersen, M Hassan, S Yassine, A Olivieri, F Barollo, R Friðriksdóttir, P Edmunds, MK Gíslason, A Fratini, P Gargiulo

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

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1902.04812 2019-02-14 stat.ML cs.LG 83%

Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates

Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort

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

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1708.05931 2017-08-24 stat.ME q-bio.NC q-bio.QM 83%

Innovations orthogonalization: a solution to the major pitfalls of EEG/MEG "leakage correction"

Roberto D. Pascual-Marqui, Rolando J. Biscay, Jorge Bosch-Bayard, Pascal Faber, Toshihiko Kinoshita, Kieko Kochi, Patricia Milz, Keiichiro Nishida, Masafumi Yoshimura

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

Comments preprint, technical report, under license "Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)", https://creativecommons.org/licenses/by-nc-nd/4.0/

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1708.00525 2017-08-03 q-bio.NC 83%

Characterization of cortical motor function and imagery-related cortical activity: Potential application for prehabilitation

Milena Korostenskaja, Christoph Kapeller, Ki H Lee, Christoph Guger, James Baumgartner, Eduardo M. Castillo

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

Comments 6 pages, 3 figures; IEEE SMC 2017: IEEE International Conference on Systems, Man, and Cybernetics

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1605.02609 2017-07-05 q-bio.NC stat.ML 83%

Dynamic Decomposition of Spatiotemporal Neural Signals

Luca Ambrogioni, Marcel A. J. van Gerven, Eric Maris

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

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1510.00642 2017-02-08 q-bio.NC 83%

Identifying anatomical origins of coexisting oscillations in the cortical microcircuit

Hannah Bos, Markus Diesmann, Moritz Helias

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

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1601.03214 2016-12-22 cs.IT math.IT nlin.CD q-bio.NC 83%

Neural Signal Multiplexing via Compressed Sensing

Nithin Nagaraj, K. R. Sahasranand

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

Comments 6 pages, 4 figures

Journal ref 2016 International Conference on Signal Processing and Communications (SPCOM), Bangalore, pp. 1-5

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1611.07677 2016-11-24 q-bio.QM q-bio.NC 83%

A statistical method for analyzing and comparing spatiotemporal cortical activation patterns

Patrick Krauss, Claus Metzner, Achim Schilling, Konstantin Tziridis, Maximilian Traxdorf, Holger Schulze

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

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1502.05169 2015-12-03 q-bio.NC 83%

Heterogeneity and dynamics of cortical populations coding visual detection

Jorrit S. Montijn, Pieter M. Goltstein, Cyriel M. A. Pennartz

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

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1511.03726 2015-11-13 stat.AP q-bio.NC q-bio.QM 83%

An Analysis of How Spatiotemporal Dynamic Models of Brain Activity Could Improve MEG/EEG Inverse Solutions

Camilo Lamus, Matti S. Hamalainen, Emery N. Brown, Patrick L. Purdon

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

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1411.1949 2014-11-18 q-bio.NC q-bio.QM 83%

The resting microstate networks (RMN): cortical distributions, dynamics, and frequency specific information flow

Roberto D Pascual-Marqui, Dietrich Lehmann, Pascal Faber, Patricia Milz, Kieko Kochi, Masafumi Yoshimura, Keiichiro Nishida, Toshiaki Isotani, Toshihiko Kinoshita

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

Comments pre-print, technical report, The KEY Institute for Brain-Mind Research (Zurich), Kansai Medical University (Osaka)

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1302.4051 2013-02-19 q-bio.NC nlin.CD 83%

On-off intermittency of thalamo-cortical oscillations in the electroencephalogram of rats with genetic predisposition to absence epilepsy

Evgenia Sitnikova, Alexander E. Hramov, Alexey A. Ovchinnikov, Alexey A. Koronovskii

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

Comments 15 pages, 5 figures

Journal ref Brain research. 1436 (2012) 147-156

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1108.0251 2011-08-20 stat.AP physics.bio-ph q-bio.NC stat.ME 83%

Cortical current source connectivity by means of partial coherence fields

Roberto D. Pascual-Marqui, Rolando J. Biscay, Pedro A. Valdes-Sosa, Jorge Bosch-Bayard, Jorge J. Riera-Diaz

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

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2312.15889 2025-05-23 cs.LG cs.HC cs.NE q-bio.NC 83%

Combining SNNs with Filtering for Efficient Neural Decoding in Implantable Brain-Machine Interfaces

Biyan Zhou, Pao-Sheng Vincent Sun, Arindam Basu

机构 * City University of Hong Kong(香港城市大学)

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

Journal ref Biyan Z, Sun P S V, Basu A. Combining SNNs with filtering for efficient neural decoding in implantable brain-machine interfaces[J]. Neuromorphic Computing and Engineering, 2025, 5(1): 014013

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2606.14866 2026-06-16 cs.NE 新提交 82%

Test-Time Adaptation of Spiking Neural Networks for Intracortical Neural Decoding using Membrane Potential Alignment

基于膜电位对齐的脉冲神经网络测试时自适应用于皮层内神经解码

Guangzhi Tang

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

AI总结 提出膜电位对齐(MPA)方法,通过KL散度匹配膜电位分布,仅更新低秩(LoRA)权重(<9%参数),实现脉冲神经网络测试时自适应,在非人灵长类任务中性能媲美NoMAD,且架构更简单、时间分辨率更高(4 ms vs 20 ms)。

Comments Accepted at ICANN 2026

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2603.00362 2026-03-03 cs.CV 82%

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

具有血管避让的感知-aware 神经外科手术规划用于视觉皮层假体

Galen Pogoncheff, Alvin Wang, Jacob Granley, Michael Beyeler

机构 * Department of Computer Science, University of California Santa, Barbara School of Computer Science, Carnegie Mellon University Department of Psychological \& Brain Sciences, University of California, Santa Barbara

专题命中 神经信号处理 :cortical(title,abstract);neural interface(abstract)

AI总结 本文提出了一种基于感知的皮层视觉假体手术规划框架,通过优化电极放置以提高视觉重建保真度并确保血管安全。

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2602.23960 2026-03-02 cs.SD cs.AI 82%

SHINE: Sequential Hierarchical Integration Network for EEG and MEG

SHINE:用于EEG和MEG的顺序分层集成网络

Xiran Xu, Yujie Yan, Xihong Wu, Jing Chen

机构 * Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University(北京大学智能科学与技术学院语音与听觉研究中心) Center for BioMed-X Research, Academy for Advanced Interdisciplinary Studies, Peking University(北京大学先进跨学科研究 academy 生物医学-X 研究中心) National Key Laboratory of General Artificial Intelligence, China(中国通用人工智能国家重点实验室)

专题命中 神经信号处理 :EEG(title,abstract);cortical(abstract)

AI总结 SHINE网络通过整合EEG和MEG信号,实现了高精度的语音检测,其集成方法在LibriBrain竞赛中取得优异成绩。

Comments ranked second at LibriBrain Competition 2025 https://neural-processing-lab.github.io/2025-libribrain-competition/prizes/

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2601.21948 2026-01-30 cs.CV 82%

Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding

深度模型,浅层对齐:揭示神经解码中的粒度不匹配

Yang Du, Siyuan Dai, Yonghao Song, Paul M. Thompson, Haoteng Tang, Liang Zhan

机构 * Dept. of Electrical & Computer Engineering, University of Pittsburgh, USA(宾夕法尼亚大学电气与计算机工程系) Dept. of Biomedical Engineering, Tsinghua University, China(清华大学生物医学工程系) Dept. of Neurology, University of Southern California, USA(美国南加州大学神经病学系) Dept. of Computer Science, University of Texas Rio Grande Valley, USA(德克萨斯理工大学里奥格兰德谷分校计算机科学系)

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

AI总结 本文提出浅层对齐方法,通过对比学习策略解决神经解码中的粒度不匹配问题,显著提升解码性能。

Comments 29 pages, 13 figures

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2512.18635 2025-12-23 cs.CV 82%

Uni-Neur2Img: Unified Neural Signal-Guided Image Generation, Editing, and Stylization via Diffusion Transformers

Uni-Neur2Img:通过扩散变换器实现神经信号引导的图像生成、编辑和风格化

Xiyue Bai, Ronghao Yu, Jia Xiu, Pengfei Zhou, Jie Xia, Peng Ji

机构 * Fudan University(复旦大学) Zhejiang University(浙江大学) National University of Singapore(新加坡国立大学)

专题命中 神经信号处理 :neural signal(title,abstract);EEG(abstract)

AI总结 Uni-Neur2Img通过扩散变换器实现神经信号引导的图像生成、编辑和风格化,提供统一且高效的解决方案。

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2112.01261 2025-10-14 cs.NE cs.AI 82%

ViF-SD2E: A Robust Weakly-Supervised Method for Neural Decoding

Jingyi Feng, Yong Luo, Shuang Song

专题命中 神经信号处理 :neural decoding(title,abstract);neural signal(abstract)

Comments 13 pages, 9 figures, 4 tables

Journal ref Neural Comput & Applic 37 (2025)

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2507.23525 2025-08-01 nlin.AO 82%

Wave Turbulence and Cortical Dynamics

Gerald Kaushallye Cooray

专题命中 神经信号处理 :cortical(title,abstract);EEG(abstract)

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2506.02433 2025-06-04 cs.CV 82%

Empowering Functional Neuroimaging: A Pre-trained Generative Framework for Unified Representation of Neural Signals

Weiheng Yao, Xuhang Chen, Shuqiang Wang

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

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2411.16449 2025-02-11 math.DS 82%

Alpha-Delta Transitions in Cortical Rhythms as grazing bifurcations

Huda Mahdi, Jan Sieber, Krasimira Tsaneva-Atanasova

专题命中 神经信号处理 :cortical(title,abstract);EEG(abstract)

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2409.01762 2024-09-04 q-bio.NC cs.HC cs.LG cs.NE 82%

Decoding finger velocity from cortical spike trains with recurrent spiking neural networks

Tengjun Liu, Julia Gygax, Julian Rossbroich, Yansong Chua, Shaomin Zhang, Friedemann Zenke

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

Comments 5 pages, 2 figures. This work has been submitted to the IEEE BioCAS 2024 conference

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2310.00185 2023-10-03 q-bio.QM 82%

CARLA: Adjusted common average referencing for cortico-cortical evoked potential data

Harvey Huang, Gabriela Ojeda Valencia, Nicholas M. Gregg, Gamaleldin M. Osman, Morgan N. Montoya, Gregory A. Worrell, Kai J. Miller, Dora Hermes

专题命中 神经信号处理 :cortical(title,abstract);EEG(abstract)

Comments 29 pages, 8 main figures, 3 supplemental figures. For associated code, see https://github.com/hharveygit/CARLA_JNM

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2211.07867 2022-11-16 cs.LG eess.SP q-bio.NC 82%

Machine Learning Methods Applied to Cortico-Cortical Evoked Potentials Aid in Localizing Seizure Onset Zones

Ian G. Malone, Kaleb E. Smith, Morgan E. Urdaneta, Tyler S. Davis, Daria Nesterovich Anderson, Brian J. Phillip, John D. Rolston, Christopher R. Butson

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

Comments Extended Abstract presented at Machine Learning for Health (ML4H) symposium 2022, November 28th, 2022, New Orleans, United States & Virtual, http://www.ml4h.cc, 6 pages

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1906.09717 2020-04-29 physics.bio-ph nlin.PS 82%

Emergence of localized persistent weakly-evanescent cortical brain wave loops

Vitaly L. Galinsky, Lawrence R. Frank

专题命中 神经信号处理 :cortical(title,abstract);EEG(abstract)

Journal ref Phys. Rev. Research 2, 023061 (2020)

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1608.00148 2016-08-02 cs.CV 82%

Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy

Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer G. Dy, Carla E. Brodley

专题命中 神经信号处理 :cortical(title,abstract);EEG(abstract)

Comments Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA

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physics/0512050 2009-12-01 physics.med-ph physics.bio-ph 82%

Time delay and partial coherence analyses to identify cortical connectivities

R. B. Govindan, J. Raethjen, K. Arning, F. Kopper, G. Deuschl

专题命中 神经信号处理 :cortical(title,abstract);EEG(abstract)

Comments Accepted for publication in Biological Cybernetics

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