Literature DB >> 26335555

Implementation of Arithmetic Operations With Time-Free Spiking Neural P Systems.

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

Abstract

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.

Entities:  

Mesh:

Year:  2015        PMID: 26335555     DOI: 10.1109/TNB.2015.2438257

Source DB:  PubMed          Journal:  IEEE Trans Nanobioscience        ISSN: 1536-1241            Impact factor:   2.935


  4 in total

1.  On the Computational Power of Spiking Neural P Systems with Self-Organization.

Authors:  Xun Wang; Tao Song; Faming Gong; Pan Zheng
Journal:  Sci Rep       Date:  2016-06-10       Impact factor: 4.379

2.  An improved DBSCAN algorithm based on cell-like P systems with promoters and inhibitors.

Authors:  Yuzhen Zhao; Xiyu Liu; Xiufeng Li
Journal:  PLoS One       Date:  2018-12-17       Impact factor: 3.240

3.  A Novel Protein Subcellular Localization Method With CNN-XGBoost Model for Alzheimer's Disease.

Authors:  Long Pang; Junjie Wang; Lingling Zhao; Chunyu Wang; Hui Zhan
Journal:  Front Genet       Date:  2019-01-18       Impact factor: 4.599

4.  Overlapping Community Detection based on Network Decomposition.

Authors:  Zhuanlian Ding; Xingyi Zhang; Dengdi Sun; Bin Luo
Journal:  Sci Rep       Date:  2016-04-12       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.