[1]逯鹏,张微,李亚萍,等.基于网络的视觉皮层演化博弈研究[J].郑州大学学报(工学版),2018,39(02):18-22.
 Research On Evolutionary Game of Visual Cortex Networks [J].Journal of Zhengzhou University (Engineering Science),2018,39(02):18-22.
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基于网络的视觉皮层演化博弈研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
39
期数:
2018年02期
页码:
18-22
栏目:
出版日期:
2018-03-30

文章信息/Info

Title:
Research On Evolutionary Game of Visual Cortex Networks 
作者:
逯鹏张微李亚萍刘素杰
文献标志码:
A
摘要:
从网络角度研究视觉是一种新思路。视觉皮层网络存在传播效率和布线代价的矛盾,从“经济性”的原则入手,通过对视觉皮层网络的模拟、演化,研究有限能量限制下视觉皮层网络代价和效率的博弈演化规律。以V1区脑沟15mm构建空间视觉网络模型;以异质性视觉皮层网络演化,证实信息传播效率和布线代价存在矛盾;以效率和代价两种混合动力学博弈策略产生合作簇,验证布线代价和效率的博弈演化规律。结果表明,视觉皮层网络存在类复杂网络的动态博弈演化机制,该结果为一般视觉信息处理研究提供了新途径和方法。
Abstract:

Research on vision from the perspective of network was a new direction. There was a contradiction between transmission efficiency and wiring cost in visual cortex network. Based on the principle of economy, the evolutionary game laws were proposed between the cost and efficiency under the limitation of energy by simulating the visual cortex network. The visual network model was built upon the sulci of 15mm in V1. The heterogeneous evolution of the visual cortex network confirmed the existence of contradiction between information transmission efficiency and wiring cost. The collaboration cliques generated by mixing the dynamic game strategies of efficiency and wiring cost validate the evolutionary game laws. The evolutionary game laws showed that there existed a dynamic evolutionary mechanism of class complex network in visual cortex network, and provided a new way for ordinary vision information management.

更新日期/Last Update: 2018-04-02