A Simulation Software Tool for Cell-like Spiking Neural P Systems
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 gr...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/107575 |
| Acceso en línea: | https://hdl.handle.net/11441/107575 |
| Access Level: | acceso abierto |
| Palabra clave: | Bio-inspired computing Membrane Computing Spiking neural P Systems Cell-like P system P-Lingua |
| Sumario: | 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. |
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