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- W2049028093 abstract "Abstract This article presents a comprehensive approach to the generation of morphologically realistic 2D and 3D neural cells. Statistical descriptions of key morphological parameters (such as dendritic lengths, widths and branching angles) are extracted from biological cells by using image analysis techniques and used to define probability density functions, conditional or not, which are subsequently used to produce neural structures through Monte Carlo simulation and a graphic language. An application of the reported approach to the simulation of neurogenesis and neural reorganization processes considering attractive and repulsive interaction fields is also included." @default.
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- W2049028093 title "Realistic neuromorphic models and their application to neural reorganization simulations" @default.
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- W2049028093 doi "https://doi.org/10.1016/s0925-2312(01)00628-2" @default.
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