基于活动指数的神经网络节点排序方法

Sayan Biswas
{"title":"基于活动指数的神经网络节点排序方法","authors":"Sayan Biswas","doi":"10.1109/ICRCICN.2016.7813660","DOIUrl":null,"url":null,"abstract":"Neuron form the basic computation unit of brain. These cells form connection with one another in the brain and form network in which information is processed. Immense information processing ability of neural network is attributed to its exceptional parallel processing. Neuron in network fires spikes which travels and effect other neurons in the network as well. Brain cultures of rat embryos are made on multi electrode array dish. MEA dish facilitates study of network topology as it allows recording from population of neuron. Time of spike occurrences in the network was recorded along with the electrode from which activity was recorded. For analysis of network related activity of dynamic network of neurons, the proposed framework ranks nodes of network based on two paradigms and defines a parameter activity index. Activity index takes into account the activity of neuron and reports the changing of activity hub of the neuron network with time. A comparative study is done on the result of two paradigms.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"20 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Proposal for ranking nodes of neural network using activity index\",\"authors\":\"Sayan Biswas\",\"doi\":\"10.1109/ICRCICN.2016.7813660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Neuron form the basic computation unit of brain. These cells form connection with one another in the brain and form network in which information is processed. Immense information processing ability of neural network is attributed to its exceptional parallel processing. Neuron in network fires spikes which travels and effect other neurons in the network as well. Brain cultures of rat embryos are made on multi electrode array dish. MEA dish facilitates study of network topology as it allows recording from population of neuron. Time of spike occurrences in the network was recorded along with the electrode from which activity was recorded. For analysis of network related activity of dynamic network of neurons, the proposed framework ranks nodes of network based on two paradigms and defines a parameter activity index. Activity index takes into account the activity of neuron and reports the changing of activity hub of the neuron network with time. A comparative study is done on the result of two paradigms.\",\"PeriodicalId\":254393,\"journal\":{\"name\":\"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)\",\"volume\":\"20 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRCICN.2016.7813660\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRCICN.2016.7813660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

神经元是大脑的基本计算单元。这些细胞在大脑中相互连接,形成信息处理网络。神经网络巨大的信息处理能力归功于其卓越的并行处理能力。网络中的神经元发出的脉冲会传播并影响网络中的其他神经元。在多电极阵列培养皿上进行大鼠胚胎脑培养。MEA碟便于研究网络拓扑,因为它允许记录神经元群。网络中尖峰发生的时间与记录活动的电极一起被记录下来。为了分析动态神经元网络的网络相关活动,该框架基于两种范式对网络节点进行排序,并定义参数活动指数。活动指数考虑神经元的活动,反映神经元网络活动中枢随时间的变化。对两种范式的结果进行了比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposal for ranking nodes of neural network using activity index
Neuron form the basic computation unit of brain. These cells form connection with one another in the brain and form network in which information is processed. Immense information processing ability of neural network is attributed to its exceptional parallel processing. Neuron in network fires spikes which travels and effect other neurons in the network as well. Brain cultures of rat embryos are made on multi electrode array dish. MEA dish facilitates study of network topology as it allows recording from population of neuron. Time of spike occurrences in the network was recorded along with the electrode from which activity was recorded. For analysis of network related activity of dynamic network of neurons, the proposed framework ranks nodes of network based on two paradigms and defines a parameter activity index. Activity index takes into account the activity of neuron and reports the changing of activity hub of the neuron network with time. A comparative study is done on the result of two paradigms.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信