کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5002936 1368459 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of Functional Connections in Biological Neural Networks Using Dynamic Bayesian Networks
ترجمه فارسی عنوان
شناسایی اتصالات عملکردی در شبکه های عصبی زیستی با استفاده از شبکه های پویا بیزی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی
Investigation of the underlying structural characteristics and network properties of biological networks is crucial to understanding the system-level regulatory mechanism of network behaviors. A Dynamic Bayesian Network (DBN) identification method is developed based on the Minimum Description Length (MDL) to identify and locate functional connections among Pulsed Neural Networks (PNN), which are typical in synthetic biological networks. A score of MDL is evaluated for each candidate network structure which includes two factors: i) the complexity of the network; and ii) the likelihood of the network structure based on network dynamic response data. These two factors are combined together to determine the network structure. The DBN is then used to analyze the time-series data from the PNNs, thereby discerning causal connections which collectively show the network structures. Numerical studies on PNN with different number of nodes illustrate the effectiveness of the proposed strategy in network structure identification.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC-PapersOnLine - Volume 49, Issue 26, 2016, Pages 178-183
نویسندگان
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