{"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}
引用次数: 6
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.