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

Macías-Ramos L. F., Pérez-Jiménez M. J., Song T., Pan L.

Fundamenta Informaticae

2015

Vol. 136, nr 3

253--267

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.

Sevilla Carpets Revisited : Enriching the Membrane Computing Toolbox

Orellana-Martín D., Graciani C., Macías-Ramos L.-F., Martínez-del-Amor M. A., Riscos-Núñez A., Romero-Jiménez A., Valencia-Cabrera L.

Fundamenta Informaticae

2014

Vol. 134, nr 1/2

153--166

Sevilla carpets have already been used to compare different solutions of the Subset Sum problem: either designed in the framework of P systems with active membranes (both in the case of membrane division and membrane creation), and in the framework of tissue-like P systems with cell division. Recently, the degree of parallelism and other descriptive complexity details have been found to be relevant when designing parallel simulators running on GPUs. We present here a new way to use the information provided by Sevilla carpets in this context, and a script that allows to generate them automatically from P-Lingua files.