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Researchers from Minnesota State University Report on Findings in Neurocomputing

机译:明尼苏达州立大学的研究人员报告了神经计算的发现

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摘要

"A computational model, the bounded composite inverse-d architecture (BOA), was developed toncharacterize signaling in small-world networks with large but bounded numbers of nodes, as in humannbrains. The model is based upon an N-dimensional symmetrical grid with borders, with complete localnconnections from each node and relatively fewer long-range connections," scientists in Marshall,nMinnesota report.
机译:“一种计算模型,即有界复合逆D架构(BOA),是在具有大量但有界的节点的小世界网络(如在人类脑中)中以信号表征的方式开发的。该模型基于具有边界的N维对称网格,每个节点的本地连接完全,远程连接相对较少,”明尼苏达州马歇尔市的科学家报告。

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