Evolution of Heterogeneous Network Modules via Maximization of Bidirectional Information Transmission
Evolution of Heterogeneous Network Modules via Maximization of Bidirectional Information Transmission
复制标题
通过最大化双向信息传输实现异构网络模块的演进
DOI：
10.1007/978-94-017-9548-7_87
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Yutaka Yamaguti
中科院分区：
文献类型：
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作者：
Yutaka Yamaguti;Ichiro Tsuda;Yutaka Yamaguti
在理论研究中，已经提出子系统之间信息传输最大化可以作为复杂脑网络发展和进化的一个原则。在本文中，我们研究了在选择压力是最大化双向信息传输的耦合映射网络中，异构模块是如何通过进化过程发展起来的。异构结构的出现表明，交互模块之间双向信息传递的最大化可以作为选择压力，增强交互模块之间的差异化。
In theoretical studies, it has been proposed that maximizing information transmission between subsystems can be a principle for the development and evolution of complex brain networks. In this article, we study how heterogeneous modules develop in coupled-map networks through evolutionary processes, where selection pressure is to maximize bidirectional information transmission. Emergence of heterogeneous structure is demonstrated, showing that maximization of bidirectional information transmission between interacting modules can act as selection pressure to enhance differentiation between interacting modules.