Constraint-based modeling method for analyzing neural connectivity
نویسنده
چکیده
A constraint-based modeling technique is presented for analyzing neural connectivity networks. Drawing inspiration from metabolic modeling, the method considers all feasible connectivity states in a neural network based on fundamental connectivity constraints. The published connectivity network of Caenorhabditis elegans is used as an example of the method.
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تاریخ انتشار 2012