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 7326 信号源:q-bio.NC, eess.SP, cs.LG, cs.HC, cs.RO

1. 其他BCI 135 篇

2011.09831 2021-07-02 cs.HC cs.CV cs.NA math.NA 79%

Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface

Javier Fumanal-Idocin, Zdenko Takáč, Javier Fernández Jose Antonio Sanz, Harkaitz Goyena, Ching-Teng Lin, Yu-Kai Wang, Humberto Bustince

专题命中 其他BCI :brain computer interface(title,abstract);分类 cs.HC

详情

展开后加载摘要…

URL PDF HTML 收藏
2009.07951 2020-09-18 cs.HC 79%

Brain-Computer Interfaces and the Dangers of Neurocapitalism

Srdjan Lesaja, Xavier-Lewis Palmer

专题命中 其他BCI :brain-computer interface(title,abstract);分类 cs.HC

详情

展开后加载摘要…

URL PDF HTML 收藏
1910.05695 2019-10-15 stat.ML cs.LG 79%

Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method

Tian Chen, Lingge Li, Gabriel Elias, Norbert Fortin, Babak Shahbaba

专题命中 其他BCI :neural decoding(title,abstract);分类 cs.LG

详情

展开后加载摘要…

URL PDF HTML 收藏
1808.05143 2019-01-21 q-bio.NC 79%

Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings

Amelia J. Solon, Stephen M. Gordon, Jonathan R. McDaniel, Vernon J. Lawhern

专题命中 其他BCI :brain-computer interface(title);brain computer interface(abstract);分类 q-bio.NC

Comments 6 pages, 6 figures

Journal ref 2018 IEEE International Conference on Systems, Man and Cybernetics, pp. 970-975

详情

展开后加载摘要…

URL PDF HTML 收藏
1608.05343 2017-07-04 cs.LG 79%

Decoupled Neural Interfaces using Synthetic Gradients

Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu

专题命中 其他BCI :neural interface(title,abstract);分类 cs.LG

详情

展开后加载摘要…

URL PDF HTML 收藏
1703.00522 2017-03-03 cs.LG cs.NE 79%

Understanding Synthetic Gradients and Decoupled Neural Interfaces

Wojciech Marian Czarnecki, Grzegorz Świrszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu

专题命中 其他BCI :neural interface(title,abstract);分类 cs.LG

详情

展开后加载摘要…

URL PDF HTML 收藏
1211.0886 2012-11-06 cs.HC cs.ET 79%

Brain Computer Interface Technologies in the Coming Decades

Brent J. Lance, Scott E. Kerick, Anthony J. Ries, Kelvin S. Oie, Kaleb McDowell

专题命中 其他BCI :brain computer interface(title);brain-computer interface(abstract);分类 cs.HC

Comments 41 pages, 3 figures

Journal ref Proceedings of the IEEE, vol.100, no.Special Centennial Issue, pp.1585-1599, May 13 2012

详情

展开后加载摘要…

URL PDF HTML 收藏
2502.12536 2025-02-19 cs.NE cs.AI 78%

An Algorithm Board in Neural Decoding

Jingyi Feng, Kai Yang

专题命中 其他BCI :neural decoding(title,abstract)

Comments 16 pages, 10 figures, 2 tables

详情

展开后加载摘要…

URL PDF HTML 收藏
2312.17012 2023-12-29 cs.SI 78%

A Generalization of the Sugeno integral to aggregate Interval-valued data: an application to Brain Computer Interface and Social Network Analysis

Javier Fumanal-Idocin, Zdenko Takac, Lubomira Horanska, Thiago da Cruz Asmus, Carmen Vidaurre, Graçaliz Dimuro, Javier Fernandez, Humberto Bustince

专题命中 其他BCI :brain computer interface(title);brain-computer interface(abstract)

Journal ref Fuzzy Sets and Systems 451 (2022): 320-341

详情

展开后加载摘要…

URL PDF HTML 收藏
2106.04968 2021-06-10 cs.CR 78%

Eight Reasons Why Cybersecurity on Novel Generations of Brain-Computer Interfaces Must Be Prioritized

Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez

专题命中 其他BCI :brain-computer interface(title,abstract)

详情

展开后加载摘要…

URL PDF HTML 收藏
1502.02309 2016-10-30 stat.ML 78%

Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces

Ricardo Pio Monti, Romy Lorenz, Christoforos Anagnostopoulos, Robert Leech, Giovanni Montana

专题命中 其他BCI :brain-computer interface(title,abstract)

Comments 37 pages

详情

展开后加载摘要…

URL PDF HTML 收藏
2206.00786 2022-08-12 cs.IT cs.AI cs.LG eess.SP math.IT 76%

Neural Decoding with Optimization of Node Activations

Eliya Nachmani, Yair Be'ery

专题命中 其他BCI :neural decoding(title);分类 eess.SP、cs.LG

Comments IEEE Communications Letters

详情

展开后加载摘要…

URL PDF HTML 收藏
1705.07109 2017-06-16 q-bio.NC cs.LG stat.ML 76%

Deep adversarial neural decoding

Yağmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander Bosch, Rob van Lier, Marcel van Gerven

专题命中 其他BCI :neural decoding(title);分类 q-bio.NC、cs.LG

Comments Added appendix and updated figures

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.21446 2026-02-26 stat.ML cs.LG 74%

ConformalHDC: Uncertainty-Aware Hyperdimensional Computing with Application to Neural Decoding

ConformalHDC:具有应用神经解码的不确定性感知超维计算

Ziyi Liang, Hamed Poursiami, Zhishun Yang, Keiland Cooper, Akhilesh Jaiswal, Maryam Parsa, Norbert Fortin, Babak Shahbaba

机构 * Department of Statistics, UC Irvine(统计学系,加州大学伊文思分校) Department of Electrical and Computer Engineering, George Mason University(电气与计算机工程系,乔治·马歇尔大学) Center for the Neurobiology of Learning and Memory, UC Irvine(学习与记忆神经生物学中心,加州大学伊文思分校) Department of Neurobiology and Behavior, UC Irvine(神经生物学与行为系,加州大学伊文思分校) Department of Electrical and Computer Engineering, University of Wisconsin Madison(电气与计算机工程系,威斯康星大学麦迪逊分校)

专题命中 其他BCI :neural decoding(title);分类 cs.LG

AI总结 ConformalHDC通过结合统计保证与高效计算,提升神经解码任务中的鲁棒性和不确定性估计能力。

详情

展开后加载摘要…

URL PDF HTML 收藏
2510.06257 2025-10-09 quant-ph cs.IT cs.LG math.IT 74%

Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes

Xiangjun Mi, Frank Mueller

机构 * Department of Computer Science(计算机科学系) North Carolina State University(北卡罗来纳州立大学)

专题命中 其他BCI :neural decoding(title);分类 cs.LG

详情

展开后加载摘要…

URL PDF HTML 收藏
2310.06256 2023-10-11 eess.SP 74%

Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach

Yukun Cheng, Wei Chen, Lun Li, Bo Ai

专题命中 其他BCI :neural decoding(title);分类 eess.SP

详情

展开后加载摘要…

URL PDF HTML 收藏
2002.04091 2020-06-11 math.OC eess.SP 74%

Learning to Solve Network Flow Problems via Neural Decoding

Yize Chen, Baosen Zhang

专题命中 其他BCI :neural decoding(title);分类 eess.SP

Comments In submission

详情

展开后加载摘要…

URL PDF HTML 收藏
2607.20060 2026-07-30 quant-ph 版本更新 71%

Physics-Informed Graph-Neural Decoding of the Surface Code: the Logical Signal as an Exact Topological Pairing

基于离散外微积分的用于表面码解码的物理信息图神经网络

P. E. Trevisanutto, S. Dhanpal, S. Basak, L. Petit, J. Thiyagalingam

专题命中 其他BCI :neural decoding(title)

AI总结 研究针对表面码解码问题,提出基于离散外微积分的物理信息图神经网络解码器,通过离散泊松方程学习边权重,利用可微求解器获取电流,证明特定电流差值为拓扑配对,该方法在旋转表面码解码中表现良好,能精确读出逻辑信号。

详情

展开后加载摘要…

URL PDF HTML 收藏
2505.16487 2026-04-23 math.NA cs.CV cs.NA 71%

Generative Prior-Guided Neural Interface Reconstruction for 3D Electrical Impedance Tomography

生成先验引导的神经接口重建用于3D电阻抗断层成像

Haibo Liu, Junqing Chen, Guang Lin

机构 * Department of Mathematical Sciences, Tsinghua University(清华大学数学科学系) Department of Mathematics, School of Mechanical Engineering, Purdue University(帕克大学机械工程学院数学系)

专题命中 其他BCI :neural interface(title)

AI总结 本文提出一种结合预训练3D生成先验与严格边界积分方程求解器的框架,解决3D电阻抗断层成像中复杂界面重建问题,通过数据驱动先验实现高精度几何重建。

详情

展开后加载摘要…

URL PDF HTML 收藏
2509.03815 2025-09-05 quant-ph 71%

Learning Neural Decoding with Parallelism and Self-Coordination for Quantum Error Correction

Kai Zhang, Situ Wang, Linghang Kong, Fang Zhang, Zhengfeng Ji, Jianxin Chen

专题命中 其他BCI :neural decoding(title)

Comments 21 pages, 11 figures

详情

展开后加载摘要…

URL PDF HTML 收藏
1710.10279 2017-11-28 stat.ME stat.AP 71%

Wavelet Shrinkage and Thresholding based Robust Classification for Brain Computer Interface

Taposh Banerjee, John Choi, Bijan Pesaran, Demba Ba, Vahid Tarokh

专题命中 其他BCI :brain computer interface(title)

详情

展开后加载摘要…

URL PDF HTML 收藏
2601.13866 2026-01-21 q-bio.NC 70%

Audio Outperforms Text for Visual Decoding

音频在视觉解码中表现优于文本

Zhengdi Zhang, Hao Zhang, Wenjun Xia

专题命中 其他BCI :brain-computer interface(abstract);neural decoding(abstract);分类 q-bio.NC

AI总结 本研究提出利用听觉表示替代文本描述,发现听觉模态在视觉解码中更高效且准确,揭示了听觉语义在解码视觉认知中的关键作用。

详情

展开后加载摘要…

URL PDF HTML 收藏
2211.02629 2022-11-07 eess.SP cs.AI cs.HC cs.LG q-bio.NC 70%

Multi-view Multi-label Fine-grained Emotion Decoding from Human Brain Activity

Kaicheng Fu, Changde Du, Shengpei Wang, Huiguang He

专题命中 其他BCI :brain-computer interface(abstract);分类 q-bio.NC、eess.SP、cs.LG

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

详情

展开后加载摘要…

URL PDF HTML 收藏
2605.19279 2026-05-20 cs.CV 67%

FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decoding

FPED: 一种基于功能网络先验的可解释性脑解码混合专家框架

Yudan Ren, Pengcheng Shi, Zihan Ma, Xiaowei He, Xiao Li

机构 * School of Electronic Information (School of Artificial Intelligence), Northwest University(电子信息学院(人工智能学院),西北大学)

专题命中 其他BCI :brain-computer interface(abstract);neural decoding(abstract)

AI总结 本文提出FPED框架,通过建模不同的功能脑网络作为专家,利用自适应路由机制捕捉其对视觉语义理解的互补贡献,实现可解释的脑解码。

Comments 15 pages,4 figures

详情

展开后加载摘要…

URL PDF HTML 收藏
2502.15786 2025-06-10 q-bio.NC cs.AI cs.LG eess.SP 67%

MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding

Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Rex Ying

专题命中 其他BCI :brain-computer interface(abstract);分类 q-bio.NC、eess.SP、cs.LG

Comments Forty-Second International Conference on Machine Learning (ICML 2025)

详情

展开后加载摘要…

URL PDF HTML 收藏
2410.22283 2024-11-04 eess.SP cs.LG q-bio.NC 67%

Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings

Yuanxi Wang, Zuowen Wang, Shih-Chii Liu

专题命中 其他BCI :neural decoding(abstract);分类 q-bio.NC、eess.SP、cs.LG

详情

展开后加载摘要…

URL PDF HTML 收藏
2012.06075 2020-12-14 eess.SP cs.CL cs.LG q-bio.NC 67%

An algorithm for onset detection of linguistic segments in continuous electroencephalogram signals

Tonatiuh Hernández-Del-Toro, Carlos A. Reyes-García

专题命中 其他BCI :brain computer interface(abstract);分类 q-bio.NC、eess.SP、cs.LG

Journal ref Proceedings of the 11th Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA), pages 249-252, Florence, Italy, 2019. Firenze University Press

详情

展开后加载摘要…

URL PDF HTML 收藏
2504.18882 2026-08-24 cs.LG cs.AI eess.IV q-bio.NC 版本更新 62%

SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges

神经影像分析中的SPD矩阵学习:视角、方法与挑战

Ce Ju, Reinmar Kobler, Antoine Collas, Motoaki Kawanabe, Cuntai Guan, Bertrand Thirion

机构 * Inria(法国国家信息与自动化研究所) CEA(法国国家原子能与替代能源委员会) Université Paris-Saclay(巴黎萨克雷大学) Advanced Telecommunications Research Institute International (ATR)(国际先进电信研究机构) RIKEN Artificial Intelligence Project(理化学研究所人工智能项目) College of Computing and Data Science (CCDS) and Centre of AI in Medicine (C-AIM)(计算与数据科学学院和医学人工智能中心)

专题命中 其他BCI :brain-computer interface(abstract);分类 q-bio.NC、cs.LG

AI总结 本文提出SPD矩阵学习作为神经影像分析的新方法,通过统一视角整合多种模态数据,结合几何统计与AI技术,解决传统分析与新兴AI范式之间的桥梁问题。

Comments 18 pages, 2 figures, 2 tables; This work was accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) in 2026. Copyright may be transferred without notice, after which this version may no longer be accessible

详情

展开后加载摘要…

URL PDF HTML 收藏
2508.11657 2026-07-07 eess.SP cs.LG 版本更新 62%

Robust Sparse Bayesian Learning Based on Minimum Error Entropy for Noisy High-Dimensional Brain Activity Decoding

基于最小误差熵的鲁棒稀疏贝叶斯学习用于噪声高维脑电活动解码

Yuanhao Li, Badong Chen, Wenjun Bai, Yasuharu Koike, Okito Yamashita

机构 * Department of Computational Brain Imaging, ATR Neural Information Analysis Laboratories(计算脑成像部门,ATR神经信息分析实验室)

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

AI总结 研究旨在构建鲁棒稀疏贝叶斯学习框架解决噪声高维脑电活动解码问题。基于最小误差熵学习准则,在广义贝叶斯范式下重构框架,所提算法在解码任务中性能更优且模式更具生理可解释性。

详情

展开后加载摘要…

URL PDF HTML 收藏
2605.25868 2026-05-26 cs.HC cs.LG 62%

The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams

信任的时间依赖性:人机团队中的速度、准确性与cBCI神经解耦

Christopher Baker, Stephen Hinton, Akashdeep Nijjar, Riccardo Poli, Caterina Cinel, Tom Reed, Stephen Fairclough

机构 * School of Electronics, Electrical Engineering and Computer Science(电子工程与计算机科学学院) Queen's University Belfast(贝尔法斯特女王大学) School of Psychology(心理学学院) Liverpool John Moores University(利物浦约翰摩尔斯大学) School of Computer Science and Electronic Engineering(计算机科学与电子工程学院) University of Essex(埃塞克斯大学) Defence Science Technology Laboratory(国防科学技术实验室)

专题命中 其他BCI :brain-computer interface(abstract);分类 cs.LG、cs.HC

AI总结 本研究通过比较快速低准确率(FLA-AI)与慢速高准确率(SA-AI)两种AI助手,利用协作脑机接口(cBCI)和自适应黎曼Oracle,揭示了AI响应时间决定了团队失败机制:快速AI引发盲目服从,慢速AI导致延迟认知冲突,并通过混合融合方法有效提升了团队性能。

详情

展开后加载摘要…

URL PDF HTML 收藏