45 Statistical Network Models for Integrating Functional Connectivity with sMRI and 59:08 The Tumor Growth Paradox 46:37 A case study on stochastic games on large graphs in mean field and sparse regime 48:17 Differential Equations and Algebraic Geometry - 2 58:18 Differential Equations and ...
it caches frequently computed quantities such as the cross-spectral matrix and minimum-phase-decomposition, so that connectivity measures that use the same processing steps can be more quickly computed. it decouples the time-frequency transform and the connectivity measures so that if you already have...
However, comparison of spectral and connectivity features are not yet conducted in the aspect of stability. In this paper, we present contrast between spectral and connectivity features for EEG based authentication with signals measured in different days. Spectral features are represented as power ...
Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks in temporal lobe epilepsy (P4.102) S Chiang,E Vankov,H Yeh,... 被引量: 1发表: 2017年 High-Sensitivity Real-Time Imaging of Dual Protein-Protein Interactions in Living Subjects Using Multicolor ...
This may indicate network permeability (or connectivity), i.e. transfer of information (here synchronisation stimulus) between pedestrians. The synchronisation index for a pedestrian located directly to the side and in front of an observer is 0.02, while the synchronisation indices for all remaining ...
Using finite-difference time-domain method, we investigate phase and amplitude reflective properties Of a metallic photonic crystal slab comprising a two-dimensional array of gold disks placed on top of a thin gold film resting on a dielectric substrate. Photonic crystal slab overcladding is a gaseo...
ERPs are considered time-locked and phase-locked (evoked) activity, but we have also analyzed the non-phase but time-locked (induced) activity in the same interval by applying the temporal spectral evolution (TSE) method. Participants (N = 26) were tested in a passive task, a simple ...
Once this convergence process is essentially completed, no further observation time is needed, because no further information is required. The total amount of information that must be obtained for proper spectral estimation will be referred to as the spectral complexity of the signal (Cs). The ...
展开 关键词: magnetoencephalography medical signal processing time-frequency analysis MEG brain activity canonical correlation analysis cortical surface false discovery rate functional connectivity linear mixing DOI: 10.1007/978-1-4757-2817-0_13 年份: 1998 收藏...
spectral.fit(connectivity) labels = spectral.labels_ifupdate_flag:returnlabels label_dict = {} label_dict_count =0forlabelinlabels: label_dict[str(label_dict_count)] = float(label) label_dict_count = label_dict_count +1printlabel_dict ...