Artículo
A Simulation Software Tool for Cell-like Spiking Neural P Systems
Autor/es | Valencia Cabrera, Luis
Wu, TingFang Zhang, ZhiQiang Pan, Linqiang Pérez Jiménez, Mario de Jesús |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2017 |
Fecha de depósito | 2021-04-22 |
Publicado en |
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Resumen | Spiking neural P systems (SN P systems, for short) constitute
a class of computing models in the research eld of membrane computing. Inspired
by the interactions among neurons in the brain, they have attracted much
attention ... Spiking neural P systems (SN P systems, for short) constitute a class of computing models in the research eld 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 di erent 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. |
Agencias financiadoras | National Natural Science Foundation of China |
Identificador del proyecto | 61320106005
61033003 |
Cita | Valencia Cabrera, L., Wu, T., Zhang, Z., Pan, L. y Pérez Jiménez, M.d.J. (2017). A Simulation Software Tool for Cell-like Spiking Neural P Systems. Romanian Journal of Information Science and Technology (ROMJIST), 20 (1), 71-84. |
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