Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity
نویسندگان
چکیده
منابع مشابه
Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity
Vector auto-regressive (VAR) models typically form the basis for constructing directed graphical models for investigating connectivity in a brain network with brain regions of interest (ROIs) as nodes. There are limitations in the standard VAR models. The number of parameters in the VAR model increases quadratically with the number of ROIs and linearly with the order of the model and thus due t...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2013
ISSN: 1662-5188
DOI: 10.3389/fncom.2013.00159