Computation with chaotic patterns

机译：用混沌模式进行计算

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The paper is focused on how chaotic patterns, occurring in nature, might be used by biological organisms to perform computations. This issue is investigated in the context of neural systems. As a simple model of chaotic patterns, the world of Sierpinski triangles is analysed. The paper introduces the Sierpinski basis functions and the Sierpinski brain, which is able to perform classification and approximation.

机译：本文重点讨论自然界中出现的混沌模式如何被生物有机体用来执行计算。在神经系统的背景下对此问题进行了研究。作为混沌模式的简单模型，对Sierpinski三角形的世界进行了分析。本文介绍了Sierpinski基函数和能够进行分类和逼近的Sierpinski脑。

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来源
《Computational Neuroscience Meeting (CNS'01) Jul, 2001 Monterey, California》|2001年|p.263-268|共6页
会议地点 Monterey CA(US);Monterey CA(US)
作者
Peter Andras;
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作者单位

Neural Systems Group, University of Newcastle upon Tyne, Department of Psychology, Ridley Building, NE1 7RU Newcastle, UK;

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会议组织
原文格式 PDF
正文语种 eng
中图分类生理学;
关键词
chaos; computation; emergent patterns; neural networks; sierpinski triangle;

机译：混沌;计算;突发模式;神经网络; Sierpinski三角;

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Computation with chaotic patterns

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