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Dendrite P Systems Toolbox: Representation, Algorithms and Simulators

delete2020-11-16
delete14
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OA
AI
D
David Orellana-Martín
M
Miguel Ángel Martínez del Amor
L
Luis Valencia–Cabrera *
I
Ignacio Pérez–Hurtado
A
Agustín Riscos–Núñez
M
Mario J. Pérez-Jímenez
DOI:10.1142/S0129065720500719delete
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摘要

摘要

En 中文
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.
Keyword:
Dendrite P systems
spiking neural P systems
simulation
P-Lingua
MeCoSim

期刊

International Journal of Neural Systems 封面图
International Journal of Neural Systems
IF:
6.4
论文数:
1.2K
被引数:
3.3K

机构

U
University of Sevilla
学者数:
1.9W
论文数: 1.7W
被引数: 15
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