کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408503 679031 2007 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Statistical analysis of spatially embedded networks: From grid to random node positions
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Statistical analysis of spatially embedded networks: From grid to random node positions
چکیده انگلیسی

Many conceptual studies of local cortical networks assume completely random wiring. For spatially extended networks, however, such random graph models are inadequate. The geometry of neuronal dendrites and axons induces distance-dependent connectivity. Here, we investigated several types of spatial embedding that are widely used in modeling. Both regarding the spatial positions of nodes and in terms of node connectivity, we considered the full range between regularity and randomness, and characterized the various networks in the framework of stochastic graph theory. We found that many characteristic network properties are highly sensitive to the degree of randomness in the spatial arrangement of nodes, especially in the case of networks dominated by local connections. Our findings have potentially important implications for the design of large-scale network models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 70, Issues 10–12, June 2007, Pages 1833–1837
نویسندگان
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