Cognitive Aspects of Chaos in Random Networks

Gaetano L. Aiello

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Cognitive Aspects of Chaos in Random Networks

机译：随机网络中混沌的认知方面

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A special case of deterministic chaos that is independent of the architecture of the connections has been observed in a computer model of a purely excitatory neuronal network. Chaos onsets when the level of connectivity is critically low. The results indicate a typical period-doubling route to chaos as the connectivity decreases. A cognitive interpretation of such type of chaos, based on information theory and phase-transitions, is proposed.

机译：在纯粹的兴奋性神经元网络的计算机模型中，已经观察到一种确定性混乱的特殊情况，它与连接的结构无关。当连接级别严重降低时，就会出现混乱。结果表明，随着连通性的降低，典型的周期增加到混乱的周期。提出了一种基于信息论和相变的混沌解释方法。

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《Nonlinear dynamics, psychology and life sciences》 |2012年第1期|p.23-35|共13页
作者
Gaetano L. Aiello;
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作者单位

Dip.to di Fisica, Viale delle Scienze Ed.18, 90128, Palermo, Italy;

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原文格式 PDF
正文语种 eng
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关键词
connectivity; time series; cobweb diagrams; bifurcations; sleep stages;

机译：连接性;时间序列;蜘蛛网图;分叉;睡眠阶段;

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Cognitive Aspects of Chaos in Random Networks

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