A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data
نویسندگان
چکیده
منابع مشابه
A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data
The Independent Component Analysis (ICA)-linear non-Gaussian acyclic model (LiNGAM), an algorithm that can be used to estimate the causal relationship among non-Gaussian distributed data, has the potential value to detect the effective connectivity of human brain areas. Under the assumptions that (a): the data generating process is linear, (b) there are no unobserved confounders, and (c) data h...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2014
ISSN: 1662-5188
DOI: 10.3389/fncom.2014.00125