Structure-preserving model reduction of passive and quasi-active neurons
نویسندگان
چکیده
منابع مشابه
Structure-Preserving Model Reduction
A general framework for structure-preserving model reduction by Krylov subspace projection methods is developed. The goal is to preserve any substructures of importance in the matrices L, G, C, B that define the model prescribed by transfer function H(s) = L∗(G+sC)−1B. Many existing structure-preserving model-order reduction methods for linear and second-order dynamical systems can be derived u...
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ژورنال
عنوان ژورنال: Journal of Computational Neuroscience
سال: 2012
ISSN: 0929-5313,1573-6873
DOI: 10.1007/s10827-012-0403-y