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A Note on Small Universal Spiking Neural P Systems

  • Linqiang Pan
  • Xiangxiang Zeng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5957)

Abstract

In the “standard” way of simulating register machines by spiking neural P systems (in short, SN P systems), one neuron is associated with each instruction of the register machine that we want to simulate. In this note, a new way is introduced for simulating register machines by SN P systems, where only one neuron is used for all instructions of a register machine; in this way, we can use less neurons to construct universal SN P systems. Specifically, a universal system with extended rules (without delay) having 10 neurons is constructed.

Keywords

Turing Machine Regular Expression Output Neuron Standard Rule Register Machine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Linqiang Pan
    • 1
  • Xiangxiang Zeng
    • 1
  1. 1.Key Laboratory of Image Processing and Intelligent Control, Department of Control Science and EngineeringHuazhong University of Science and TechnologyHubeiPeople’s Republic of China

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