脉冲神经系统-一个快速调查和一些研究课题

2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing Pub Date : 2014-09-01 DOI:10.1109/SYNASC.2014.11

G. Paun

{"title":"脉冲神经系统-一个快速调查和一些研究课题","authors":"G. Paun","doi":"10.1109/SYNASC.2014.11","DOIUrl":null,"url":null,"abstract":"After presenting the basic definition of spiking neural P systems (SN P systems), illustrated with two examples, we recall some results concerning the computing power and the size of universal SN P systems. We end this note with a couple of research topics.","PeriodicalId":150575,"journal":{"name":"2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spiking Neural P Systems - A Quick Survey and Some Research Topics\",\"authors\":\"G. Paun\",\"doi\":\"10.1109/SYNASC.2014.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"After presenting the basic definition of spiking neural P systems (SN P systems), illustrated with two examples, we recall some results concerning the computing power and the size of universal SN P systems. We end this note with a couple of research topics.\",\"PeriodicalId\":150575,\"journal\":{\"name\":\"2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2014.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2014.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

在给出了脉冲神经系统(snp系统)的基本定义之后，用两个例子来说明，我们回顾了关于通用snp系统的计算能力和大小的一些结果。我们以几个研究课题来结束这篇文章。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Spiking Neural P Systems - A Quick Survey and Some Research Topics

After presenting the basic definition of spiking neural P systems (SN P systems), illustrated with two examples, we recall some results concerning the computing power and the size of universal SN P systems. We end this note with a couple of research topics.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

自引率

0.00%

发文量