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Variants of Spiking Neural P Systems

  • Gexiang Zhang,
  • Sergey Verlan,
  • Tingfang Wu,
  • Francis George C. Cabarle,
  • Jie Xue,
  • David Orellana-Martín,
  • Jianping Dong,
  • Luis Valencia-Cabrera,
  • Mario J. Pérez-Jiménez

摘要

Following the fundamentals, computational power, and universality of SNP systems involved in previous chapters, this chapter further introduces variants of SNP systems. Underlying actually numerous variants of SNP systems, this chapter aims to discuss several general and interesting variants of spiking neural P systems. To uniformize the presentation, corresponding models are presented in terms of network of cells and the formal framework. The models are grouped in several categories: structure and rule restrictions, delays, context dependency, non-integer spike values, and other variants.