Spiking Neural P Systems with Extended Channel Rules.

Journal: International journal of neural systems
Published Date: Aug 18, 2020

Abstract

This paper discusses a new variant of spiking neural P systems (in short, SNP systems), spiking neural P systems with extended channel rules (in short, SNP-ECR systems). SNP-ECR systems are a class of distributed parallel computing models. In SNP-ECR systems, a new type of spiking rule is introduced, called ECR. With an ECR, a neuron can send the different numbers of spikes to its subsequent neurons. Therefore, SNP-ECR systems can provide a stronger firing control mechanism compared with SNP systems and the variant with multiple channels. We discuss the Turing universality of SNP-ECR systems. It is proven that SNP-ECR systems as number generating/accepting devices are Turing universal. Moreover, we provide a small universal SNP-ECR system as function computing devices.

Authors

  • Zeqiong Lv
    School of Computer and Software Engineering, Xihua University, Chengdu, Sichuan 610039, P. R. China.
  • Tingting Bao
    School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.
  • Nan Zhou
    Department of Radiology, the Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Hong Peng
    1 Center for Radio Administration and Technology Development, School of Computer and Software Engineering, Xihua University, Chengdu 610039, P. R. China.
  • Xiangnian Huang
    School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.
  • Agustín Riscos-Núñez
    6 Research Group of Natural Computing, Department of Computer Science and Artificial Intelligence, University of Seville, Sevilla 41012, Spain.
  • Mario J Pérez-Jiménez
    6 Research Group of Natural Computing, Department of Computer Science and Artificial Intelligence, University of Seville, Sevilla 41012, Spain.

Keywords

External Resources

Popular Topics
Recent Journals