M. C. Spencer, D. Xydas, J. Downes, M. W. Hammond, V. Becerra, K. Warwick, Benjamin J. Whalley, S. Nasuto
{"title":"神经元功能连接的时空依赖性研究","authors":"M. C. Spencer, D. Xydas, J. Downes, M. W. Hammond, V. Becerra, K. Warwick, Benjamin J. Whalley, S. Nasuto","doi":"10.1109/UKRICIS.2010.5898084","DOIUrl":null,"url":null,"abstract":"Determining how the functional connectivity in cortical cultures on multi-electrode arrays develops over time can provide new and helpful insight into how cognitive pathways form. This study uses both data- and model-driven approaches to determine what dependencies are present in and between functional connectivity networks derived from bursts of extra-cellularly recorded activity. Two models were used to capture the dynamics of individual functional connections and their consistencies were verified using surrogate data. By comparing network-wide properties between model generated networks and functional networks from data, complex interdependencies were revealed. This indicates the persistent co-activation of neuronal pathways, as can be found in whole brain structures and further supports the use of cortical cultures as a consistent model for neuronal studies.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Investigation of spatio-temporal dependencies in neuronal functional connectivity\",\"authors\":\"M. C. Spencer, D. Xydas, J. Downes, M. W. Hammond, V. Becerra, K. Warwick, Benjamin J. Whalley, S. Nasuto\",\"doi\":\"10.1109/UKRICIS.2010.5898084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Determining how the functional connectivity in cortical cultures on multi-electrode arrays develops over time can provide new and helpful insight into how cognitive pathways form. This study uses both data- and model-driven approaches to determine what dependencies are present in and between functional connectivity networks derived from bursts of extra-cellularly recorded activity. Two models were used to capture the dynamics of individual functional connections and their consistencies were verified using surrogate data. By comparing network-wide properties between model generated networks and functional networks from data, complex interdependencies were revealed. This indicates the persistent co-activation of neuronal pathways, as can be found in whole brain structures and further supports the use of cortical cultures as a consistent model for neuronal studies.\",\"PeriodicalId\":359942,\"journal\":{\"name\":\"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UKRICIS.2010.5898084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKRICIS.2010.5898084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigation of spatio-temporal dependencies in neuronal functional connectivity
Determining how the functional connectivity in cortical cultures on multi-electrode arrays develops over time can provide new and helpful insight into how cognitive pathways form. This study uses both data- and model-driven approaches to determine what dependencies are present in and between functional connectivity networks derived from bursts of extra-cellularly recorded activity. Two models were used to capture the dynamics of individual functional connections and their consistencies were verified using surrogate data. By comparing network-wide properties between model generated networks and functional networks from data, complex interdependencies were revealed. This indicates the persistent co-activation of neuronal pathways, as can be found in whole brain structures and further supports the use of cortical cultures as a consistent model for neuronal studies.