文章基本信息

标题：Application of a “Staggered Walk” Algorithm for Generating Large-Scale Morphological Neuronal Networks
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作者：Jack Zito ; Heraldo Memelli ; Kyle G. Horn 等
期刊名称：Computational Intelligence and Neuroscience
印刷版ISSN：1687-5265
电子版ISSN：1687-5273
出版年度：2012
卷号：2012
DOI：10.1155/2012/876357
出版社：Hindawi Publishing Corporation
摘要：Large-scale models of neuronal structures are needed to explore emergent properties of mammalian brains. Because these models have trillions of synapses, a major problem in their creation is synapse placement. Here we present a novel method for exploiting consistent fiber orientation in a neural tissue to perform a highly efficient modified plane-sweep algorithm, which identifies all regions of 3D overlaps between dendritic and axonal projection fields. The first step in placing synapses in physiological models is neurite-overlap detection, at large scales a computationally intensive task. We have developed an efficient “Staggered Walk” algorithm that can find all 3D overlaps of neurites where trillions of synapses connect billions of neurons.