超立方体上的梨状(嗅觉)皮质模型

J. Bower, M. Nelson, M. Wilson, G. Fox, W. Furmanski
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引用次数: 12

摘要

我们提出了一个并发的超立方体实现的神经生理模型的梨状(嗅觉)皮层。该项目是在超立方体上构建通用神经网络模拟器的第一步,适用于应用和生物网络。本文提出的方法有望用于一类具有长距离连通性和非均匀活动模式的复杂且计算成本高的网络模型。利用先前针对并发矩阵代数问题构建的折叠算法有效地实现了完全互联情况下的超立方体通信,而通过分散分解成功地实现了局部活动的负载平衡。我们还简要讨论了与稀疏连接和可变连接相关的其他通信策略。本文给出的示例数值结果是在加州理工学院的NCUBE超立方体上得出的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Piriform (Olfactory) cortex model on the hypercube
We present a concurrent hypercube implementation of a neurophysiological model for the piriform (olfactory) cortex. The project was undertaken as the first step towards constructing a general neural network simulator on the hypercube, suitable both for applied and biological nets. The method presented here is expected to be useful for a class of complex and computationally expensive network models with long range connectivity and non-homogeneous activity patterns. The hypercube communication for the fully interconnected case is efficiently realized by the fold algorithm, constructed previously for problems in concurrent matrix algebra whereas the patchy activity is successfully load balanced by the scattered decomposition. We discuss also briefly other communication strategies, relevant for sparse and variable connectivities. Sample numerical results presented here were derived on the NCUBE hypercube at Caltech.
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