A Simulation Software Tool for Cell-like Spiking Neural P Systems

被引：0
|
作者：
Valencia-Cabrera, Luis [1 ]
Wu, Tingfang [2 ]
Zhang, Zhiqiang [2 ]
Pan, Linqiang [2 ,3 ]
Perez-Jimenez, Mario J. [1 ]
机构：
[1] Univ Seville, Dept Comp Sci & Artificial Intelligence, Res Grp Nat Comp, Avda Reina Mercedes S-N, E-41012 Seville, Spain
[2] Huazhong Univ Sci & Technol, Sch Automat, Educ Minist China, Key Lab Image Informat Proc & Intelligent Control, Wuhan 430074, Hubei, Peoples R China
[3] Zhengzhou Univ Light Ind, Sch Elect & Informat Engn, Zhengzhou 450002, Henan, Peoples R China
来源：
ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY | 2017年 / 20卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Bio-inspired computing; Membrane computing; Spiking neural; P system; Cell-like P system; P-Lingua; PYRROSIA-LINGUA; SYMPORT/ANTIPORT RULES; CHANNEL STATES; MEMBRANES; POWER;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Spiking neural P systems (SN P systems, for short) constitute a class of computing models in the research field of membrane computing. Inspired by the interactions among neurons in the brain, they have attracted much attention since their appearance in 2006. Many variants have emerged, presenting a graph-based structure, and several software simulators were developed for them. Recently, a different approach was proposed by introducing cell-like spiking neural P systems. Unlike previous SN P systems, this new model includes a tree-based structure, taking elements from traditional rewriting rules in the original P systems. In this work, a software tool within the framework of P-Lingua and MeCoSim is presented. This software may play an important role assisting in tasks of design, simulation and experimental validation.
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页数：14
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