Spiking neural P systems

Mihai Ionescu, Gheorghe Pǎun, Takashi Yokomori

    研究成果: Article

    497 引用 (Scopus)


    This paper proposes a way to incorporate the idea of spiking neurons into the area of membrane computing, and to this aim we introduce a class of neural-like P systems which we call spiking neural P systems (in short, SN P systems). In these devices, the time (when the neurons fire and/or spike) plays an essential role. For instance, the result of a computation is the time between the moments when a specified neuron spikes. Seen as number computing devices, SN P systems are shown to be computationally complete (both in the generating and accepting modes, in the latter case also when restricting to deterministic systems). If the number of spikes present in the system is bounded, then the power of SN P systems falls drastically, and we get a characterization of semilinear sets. A series of research topics and open problems are formulated.

    ジャーナルFundamenta Informaticae
    出版物ステータスPublished - 2006


    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Software
    • Applied Mathematics
    • Safety, Risk, Reliability and Quality


    Ionescu, M., Pǎun, G., & Yokomori, T. (2006). Spiking neural P systems. Fundamenta Informaticae, 71(2-3), 279-308.