Extending Simulation of Asynchronous Spiking Neural P Systems in P-Lingua

被引：17
|
作者：
Macias-Ramos, Luis F. [1 ]
Perez-Jimenez, Mario J. [1 ]
Song, Tao [2 ]
Pan, Linqiang [2 ]
机构：
[1] Univ Seville, Dept Comp Sci & Artificial Intelligence, Res Grp Nat Comp, E-41012 Seville, Spain
[2] Huazhong Univ Sci & Technol, Sch Automat, Key Lab Image Informat Proc & Intelligent Control, Wuhan 430074, Hubei, Peoples R China
来源：
FUNDAMENTA INFORMATICAE | 2015年 / 136卷 / 03期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Membrane computing; Spiking neural P system; Asynchronous mode; P-Lingua;
D O I：
10.3233/FI-2015-1156
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Spiking neural P systems (SN P systems for short) are a class of neural-like computing models in the framework of membrane computing. Inspired by the neurophysiological structure of the brain, SN P systems have been extended in various ways. P-Lingua is a standard language for the definition of P systems, where pLinguaCore library provides particular implementations of parsers and simulators for the models specified in P-Lingua. A support for simulating SN P systems in P-Lingua was introduced recently and soon expanded to cover further features of these systems. In this paper, we present an extension of P-Lingua related to asynchronous SN P systems, in order to incorporate simulation capabilities for limited asynchronous SN P systems and asynchronous SN P systems with local synchronization.
引用
收藏
页码：253 / 267
页数：15
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