### 抄録

This work deals with several aspects concerning the formal verification of SN P systems and the computing power of some variants. A methodology based on the information given by the transition diagram associated with an SN P system is presented. The analysis of the diagram cycles codifies invariants formulae which enable us to establish the soundness and completeness of the system with respect to the problem it tries to resolve. We also study the universality of asynchronous and sequential SN P systems and the capability these models have to generate certain classes of languages. Further, by making a slight modification to the standard SN P systems, we introduce a new variant of SN P systems with a special I/O mode, called SN P modules, and study their computing power. It is demonstrated that, as string language acceptors and transducers, SN P modules can simulate several types of computing devices such as finite automata, a-finite transducers, and systolic trellis automata.

元の言語 | English |
---|---|

ページ（範囲） | 475-491 |

ページ数 | 17 |

ジャーナル | Natural Computing |

巻 | 9 |

発行部数 | 2 |

DOI | |

出版物ステータス | Published - 2010 6 |

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### ASJC Scopus subject areas

- Computer Science Applications

### これを引用

*Natural Computing*,

*9*(2), 475-491. https://doi.org/10.1007/s11047-009-9159-3

**On spiking neural P systems.** / Ibarra, Oscar H.; Pérez-Jiménez, Mario J.; Yokomori, Takashi.

研究成果: Article

*Natural Computing*, 巻. 9, 番号 2, pp. 475-491. https://doi.org/10.1007/s11047-009-9159-3

}

TY - JOUR

T1 - On spiking neural P systems

AU - Ibarra, Oscar H.

AU - Pérez-Jiménez, Mario J.

AU - Yokomori, Takashi

PY - 2010/6

Y1 - 2010/6

N2 - This work deals with several aspects concerning the formal verification of SN P systems and the computing power of some variants. A methodology based on the information given by the transition diagram associated with an SN P system is presented. The analysis of the diagram cycles codifies invariants formulae which enable us to establish the soundness and completeness of the system with respect to the problem it tries to resolve. We also study the universality of asynchronous and sequential SN P systems and the capability these models have to generate certain classes of languages. Further, by making a slight modification to the standard SN P systems, we introduce a new variant of SN P systems with a special I/O mode, called SN P modules, and study their computing power. It is demonstrated that, as string language acceptors and transducers, SN P modules can simulate several types of computing devices such as finite automata, a-finite transducers, and systolic trellis automata.

AB - This work deals with several aspects concerning the formal verification of SN P systems and the computing power of some variants. A methodology based on the information given by the transition diagram associated with an SN P system is presented. The analysis of the diagram cycles codifies invariants formulae which enable us to establish the soundness and completeness of the system with respect to the problem it tries to resolve. We also study the universality of asynchronous and sequential SN P systems and the capability these models have to generate certain classes of languages. Further, by making a slight modification to the standard SN P systems, we introduce a new variant of SN P systems with a special I/O mode, called SN P modules, and study their computing power. It is demonstrated that, as string language acceptors and transducers, SN P modules can simulate several types of computing devices such as finite automata, a-finite transducers, and systolic trellis automata.

KW - Asynchronous

KW - Finite automaton

KW - Finite state transducer

KW - Formal verification

KW - Sequential

KW - Spiking neural P system

KW - Systolic trellis automaton

KW - Universality

UR - http://www.scopus.com/inward/record.url?scp=77955920050&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77955920050&partnerID=8YFLogxK

U2 - 10.1007/s11047-009-9159-3

DO - 10.1007/s11047-009-9159-3

M3 - Article

AN - SCOPUS:77955920050

VL - 9

SP - 475

EP - 491

JO - Natural Computing

JF - Natural Computing

SN - 1567-7818

IS - 2

ER -