Implementation of Arithmetic Operations with Time-Free Spiking Neural P Systems

Xiangrong Liu, Ziming Li, Juan Liu, Logan Liu, Xiangxiang Zeng

Research output: Contribution to journalArticlepeer-review


Spiking neural P systems (SN P systems) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In most applications of SN P systems, synchronization plays a key role which means the execution of a rule is completed in exactly one time unit (one step). However, such synchronization does not coincide with the biological fact: in biological nervous systems, the execution times of spiking rules cannot be known exactly. Therefore, a 'realistic' system called time-free SN P systems were proposed, where the precise execution time of rules is removed. In this paper, we consider building arithmetical operation systems based on time-free SN P systems. Specifically, adder, subtracter, multiplier, and divider are constructed by using time-free SN P systems. The obtained systems always produce the same computation result independently from the execution time of the rules.

Original languageEnglish (US)
Article number7114325
Pages (from-to)617-624
Number of pages8
JournalIEEE Transactions on Nanobioscience
Issue number6
StatePublished - Sep 1 2015


  • Arithmetic operation
  • Biocomputing
  • Membrane computing
  • Spiking neural P system
  • Time-freeness

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Medicine (miscellaneous)
  • Biomedical Engineering
  • Pharmaceutical Science
  • Computer Science Applications
  • Electrical and Electronic Engineering


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