神经元同步性和皮质-皮质连接的稀疏性

S. Kbah, N. Sengor
{"title":"神经元同步性和皮质-皮质连接的稀疏性","authors":"S. Kbah, N. Sengor","doi":"10.1109/TIPTEKNO50054.2020.9299299","DOIUrl":null,"url":null,"abstract":"The effect of network connections on the synchronization is an area of interest in different disciplines. Several well-known methods have been developed as Kuramoto model. Recently, the relations between synchronization in the cortex and cognitive processes as selective attention, perception begin to draw attention in computational neuroscience. Also, there are works focusing on the relation between neurodegenerative diseases and synchronization in the cortex. Here, we focused on the role of connection sparseness in the cortex. To investigate the effect of sparseness, we built networks inspired by the structure of the cortex using Izhikevich Neuron model.","PeriodicalId":426945,"journal":{"name":"2020 Medical Technologies Congress (TIPTEKNO)","volume":"516 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neuronal Synchronization and The Sparseness of The Cortico-cortical Connections\",\"authors\":\"S. Kbah, N. Sengor\",\"doi\":\"10.1109/TIPTEKNO50054.2020.9299299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effect of network connections on the synchronization is an area of interest in different disciplines. Several well-known methods have been developed as Kuramoto model. Recently, the relations between synchronization in the cortex and cognitive processes as selective attention, perception begin to draw attention in computational neuroscience. Also, there are works focusing on the relation between neurodegenerative diseases and synchronization in the cortex. Here, we focused on the role of connection sparseness in the cortex. To investigate the effect of sparseness, we built networks inspired by the structure of the cortex using Izhikevich Neuron model.\",\"PeriodicalId\":426945,\"journal\":{\"name\":\"2020 Medical Technologies Congress (TIPTEKNO)\",\"volume\":\"516 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Medical Technologies Congress (TIPTEKNO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TIPTEKNO50054.2020.9299299\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Medical Technologies Congress (TIPTEKNO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIPTEKNO50054.2020.9299299","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

网络连接对同步的影响是不同学科感兴趣的领域。许多著名的方法都被发展为Kuramoto模型。近年来,皮层同步与选择性注意、知觉等认知过程的关系开始引起计算神经科学的关注。此外,也有工作集中在神经退行性疾病和皮层同步之间的关系。在这里,我们关注的是连接稀疏在大脑皮层中的作用。为了研究稀疏性的影响,我们利用Izhikevich神经元模型建立了受皮层结构启发的网络。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Neuronal Synchronization and The Sparseness of The Cortico-cortical Connections
The effect of network connections on the synchronization is an area of interest in different disciplines. Several well-known methods have been developed as Kuramoto model. Recently, the relations between synchronization in the cortex and cognitive processes as selective attention, perception begin to draw attention in computational neuroscience. Also, there are works focusing on the relation between neurodegenerative diseases and synchronization in the cortex. Here, we focused on the role of connection sparseness in the cortex. To investigate the effect of sparseness, we built networks inspired by the structure of the cortex using Izhikevich Neuron model.
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
期刊最新文献
Multiclass Classification of Brain Cancer with Machine Learning Algorithms Digital Filter Design Based on ARDUINO and Its Applications Use of Velocity Vectors for Cell Classification Under Acoustic Drifting Forces Development of a Full Face Mask during the COVID-19 Epidemic Spread Period TIPTEKNO 2020 Index
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1