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Dendrite P Systems Toolbox: Representation, Algorithms and Simulators
International Journal of Neural Systems ( IF 8 ) Pub Date : 2020-10-06 , DOI: 10.1142/s0129065720500719
David Orellana-Martín 1 , Miguel Á Martínez-Del-Amor 1 , Luis Valencia-Cabrera 1 , Ignacio Pérez-Hurtado 1 , Agustín Riscos-Núñez 1 , Mario J Pérez-Jiménez 1
Affiliation  

Dendrite P systems (DeP systems) are a recently introduced neural-like model of computation. They provide an alternative to the more classical spiking neural (SN) P systems. In this paper, we present the first software simulator for DeP systems, and we investigate the key features of the representation of the syntax and semantics of such systems. First, the conceptual design of a simulation algorithm is discussed. This is helpful in order to shade a light on the differences with simulators for SN P systems, and also to identify potential parallelizable parts. Second, a novel simulator implemented within the P-Lingua simulation framework is presented. Moreover, MeCoSim, a GUI tool for abstract representation of problems based on P system models has been extended to support this model. An experimental validation of this simulator is also covered.

中文翻译:

Dendrite P Systems Toolbox:表示、算法和模拟器

Dendrite P 系统(DeP 系统)是最近引入的一种类似神经的计算模型。它们为更经典的脉冲神经 (SN) P 系统提供了替代方案。在本文中,我们介绍了第一个用于 DeP 系统的软件模拟器,并研究了此类系统的语法和语义表示的关键特征。首先,讨论了仿真算法的概念设计。这有助于揭示与 SN P 系统模拟器的差异,也有助于识别潜在的可并行化部分。其次,提出了一种在 P-Lingua 仿真框架内实现的新型仿真器。此外,基于 P 系统模型抽象表示问题的 GUI 工具 MeCoSim 已扩展为支持该模型。该模拟器的实验验证也包括在内。
更新日期:2020-10-06
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