Evolution-communication spiking neural P systems with energy request rules.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date:

Abstract

Evolution-communication spiking neural P systems with energy request rules (ECSNP-ER systems) are proposed and developed as a new variant of evolution-communication spiking neural P systems. In ECSNP-ER systems, in addition to spike-evolution rules and spike-communication rules, neurons also have energy request rules. Energy request rules are used to obtain energy from the environment needed for spike evolution and communication in neurons. The definition, structure and operations of ECSNP-ER systems are presented in detail. ECSNP-ER systems are proved to have the same computing capabilities as Turing machines by using them as number generating/accepting devices and function computing devices. Working non-deterministically, ECSNP-ER systems are used to solve NP-complete problems, using the SAT problem as an example, in linear time.

Authors

  • Liping Wang
    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200011, China.
  • Xiyu Liu
    School of Management Science and Engineering, Shandong Normal University, Jinan, China.
  • Minghe Sun
    University of Texas at San Antonio, San Antonio, Texas, USA.
  • Yuzhen Zhao
    School of Management Science and Engineering, Shandong Normal University, Jinan, China.