NEW METHOD :We introduce a Matlab toolbox, HINT (Hierarchical INdependent component analysis Toolbox), that provides a hierarchical covariate-adjusted ICA (hc-ICA) for modeling and testing covariate effects and generates model-based estimates of brain networks on both the population- and individual-...
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Arnaud DelormeScott Makeig Mar 2004 We have developed a toolbox and graphic user interface, EEGLAB, running under the cross-platform MATLAB environment (The Mathworks, Inc.) for process...
MICA-A toolbox for masked independent component analysis of fMRI data. Hum. Brain Mapp. doi:10.1002/hbm.23258Moher Alsady T, Blessing EM, Beissner F... TM Alsady 被引量: 0发表: 0年 Multidimensional independent component analysis This paper proposes to generalize the notion of independent co...
Since IMAT is working on brain sources derived using Independent Component Analysis (ICA) you need to decompose the EEG data into Independent Components (ICs) using ICA decomposition before running IMAT. A description on how to preprocess EEG data and run ICA can be found in theeeglab Wiki. Fo...
Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communiti... EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
ICA of fMRI Toolbox; GIFT v1.3b; icatb.sourceforge.net). Materials and methods IVA model and learning algorithm for fMRI group data processing Fig. 1 shows an illustrative example of fMRI data acquired from multiple subjects. For each subject’s data, the measured scalar ...
to generate seed-based FC maps based on the TR group. We found that the third seed led to a resting-state language FC pattern best matching with the language meta-analysis result (generated by using the keyword “language” onhttp://neurosynth.org, a website-based meta-analysis toolbox)....
展开 关键词: EEGLAB open source EEG analysis toolbox (http://www.sccn.ucsd.edu) ERP event-related potential FP3 frontal P3 independent component cluster ICA independent component analysis PCA principal component analysis DOI: 10.1016/j.cogbrainres.2004.09.006 被引量: 331 年份...
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I would like to ask whether is it possible to... Learn more about face recognition, svm, ica, feature extraction, indepenent component analysis MATLAB, Image Processing Toolbox, Deep Learning Toolbox