The Surface Laplacian Technique in EEG: Theory and Methods
专题命中 EEG解码 :EEG(title,abstract)
Comments 43 pages, 8 figures
科学与医疗
脑机接口、EEG、神经信号解码、神经假体和脑控交互。
专题命中 EEG解码 :EEG(title,abstract)
Comments 43 pages, 8 figures
专题命中 EEG解码 :EEG(title,abstract)
Comments Matlab codes can be downloaded at: http://dsp.ucsd.edu/~zhilin/BSBL.html, or http://sites.google.com/site/researchbyzhang/bsbl
专题命中 EEG解码 :EEG(title,abstract)
Comments 25 pages, 8 figures, 1 table
专题命中 EEG解码 :EEG(title,abstract)
Comments 13 pages
专题命中 EEG解码 :EEG(title,abstract)
专题命中 EEG解码 :EEG(title,abstract)
专题命中 EEG解码 :EEG(title,abstract)
Comments This paper has been modified to republished
专题命中 EEG解码 :EEG(title,abstract)
Comments 19 pages, 10 figures, to appear in NeuroImage
Journal ref NeuroImage 63 (2012) 698-712
专题命中 EEG解码 :EEG(title,abstract)
Comments 19 pages, 1 figures, 4 tables
专题命中 EEG解码 :EEG(title,abstract)
Comments 9 pages, 6 figures
Journal ref IEEE Trans. Biomed. Eng. 57(8) (2010) 1954 - 1963;
专题命中 EEG解码 :EEG(title,abstract)
Comments Proceedings of the 9th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED), University of Cambridge, UK, 2010, edited by L. A. Zadeh et al, pp 191 - 195
Journal ref Proceedings of the 9th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED), University of Cambridge, UK, 2010, edited by L. A. Zadeh et al, pp 191 - 195
专题命中 EEG解码 :EEG(title,abstract)
Comments 4 pages and 6 figures
Journal ref Physical Review E 76, 061903 (2007)
专题命中 EEG解码 :EEG(title,abstract)
Comments 22 pages, 7 figures, the paper is to be published in Chaos, 2005, vol.15, issue 2, see http://chaos.aip.org/
专题命中 EEG解码 :EEG(title,abstract)
Comments 12 pages, 8 figures, submitted to Phys. Rev. E, uses APS RevTeX styles
专题命中 EEG解码 :EEG(title,abstract)
专题命中 EEG解码 :EEG(title,abstract)
Comments 5 pages, 4 figures, 3 tables, based on our IEEE ICTAI'08 paper, submitted to IEEE EMBC'09
专题命中 EEG解码 :EEG(title,abstract)
专题命中 EEG解码 :EEG(title,abstract)
Comments Does the signal plus noise paradigm apply to Electroencephalograms? Detrended Fluctuations Analysis vs Diffusion Entropy
专题命中 EEG解码 :EEG(title,abstract)
Comments Published in at http://dx.doi.org/10.1214/08-AOAS185 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Journal ref Annals of Applied Statistics 2008, Vol. 2, No. 4, 1432-1451
专题命中 EEG解码 :EEG(title,abstract)
Comments 27 pages, 6 figures
专题命中 EEG解码 :EEG(title,abstract)
Comments 9 pages, 8 figures
Journal ref Brain Topography, vol. 11, no. 3, pp. 201, 1999
专题命中 EEG解码 :EEG(title,abstract)
Comments 55 PostScript pages, including 6 figures
Journal ref Mathematical Computer Modelling 27 (1998) 33-64
专题命中 EEG解码 :EEG(title,abstract)
Comments 5 PostScript pages
专题命中 EEG解码 :EEG(title,abstract)
专题命中 EEG解码 :EEG(title,abstract)
专题命中 EEG解码 :EEG(title,abstract)
Comments 44 pages, 10 pages of figures
专题命中 EEG解码 :EEG(title);分类 q-bio.NC、cs.HC;brain-computer interface(comments)
Comments Submitted to 2022 10th IEEE International Winter Conference on Brain-Computer Interface
基于皮层脑电图的帕金森病分类中改善领域泛化的交换对抗框架
机构 * Department of Computer Science and Engineering, Incheon National University(仁川国立大学计算机科学与工程系) ; Department of Nanobioengineering, Incheon National University(仁川国立大学纳米生物工程系) ; Center for Brain-Machine Interface, Incheon National University(仁川国立大学脑机接口中心) ; Department of Artificial Intelligence, Inha University(仁荷大学人工智能系)
专题命中 EEG解码 :EEG(abstract,abstract_cn);brain-computer interface(abstract);分类 cs.LG
AI总结 提出交换对抗框架,通过脑图引导的通道交换和领域对抗学习,缓解皮层脑电图数据的高变异性与小样本问题,实现跨被试、跨会话和跨数据集的鲁棒泛化。
UniMind: 激活大型语言模型的统一多任务脑解码能力
专题命中 EEG解码 :EEG(abstract,abstract_cn);neural signal(abstract);分类 cs.HC
AI总结 UniMind通过引入大型语言模型解码复杂神经模式,提升多任务脑解码的泛化能力,实验表明其在十个数据集上平均提升12%。
Comments 19pages,4 figures
FedSPDnet: 具有SPDnet的几何感知联邦深度学习
专题命中 EEG解码 :EEG(abstract,abstract_cn);motor imagery(abstract);分类 cs.LG
AI总结 本文提出两种联邦学习框架,用于在对称正定矩阵上运行经典SPDnet模型,通过ProjAvg和RLAvg策略保持几何结构,提升信号处理应用的联邦学习性能。