Spiking neural P systems

Mihai Ionescu, Gheorghe Pǎun*, Takashi Yokomori

*この研究の対応する著者

研究成果: Article査読

645 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)279-308
ページ数30
ジャーナルFundamenta Informaticae
71
2-3
出版ステータスPublished - 2006 1月 1

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • 代数と数論
  • 情報システム
  • 計算理論と計算数学

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