{"title":"未确定录音的隐藏成分分析","authors":"W. Y. Leong","doi":"10.1109/ICIEA.2008.4582667","DOIUrl":null,"url":null,"abstract":"The aim of the study is to recover and detect the neglected hidden mirror neurons in the neuronal spikes recordings. The investigation and the detection of the hidden neurons were conducted using the standard and ensemble and complex Empirical Mode Decomposition (EMD). The extension to the field of complex numbers C is particularly important for the analysis of phase-dependent neuronal study. This allows us to combine the data driven nature of EMD with the power of complex algebra to model amplitude-phase relationships of the neurons. The analysis shows that the extensions of EMD to the recordings are magnificent. Simulations on trains of spiking neurons support the analysis.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hidden component analysis of undetermined recordings\",\"authors\":\"W. Y. Leong\",\"doi\":\"10.1109/ICIEA.2008.4582667\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the study is to recover and detect the neglected hidden mirror neurons in the neuronal spikes recordings. The investigation and the detection of the hidden neurons were conducted using the standard and ensemble and complex Empirical Mode Decomposition (EMD). The extension to the field of complex numbers C is particularly important for the analysis of phase-dependent neuronal study. This allows us to combine the data driven nature of EMD with the power of complex algebra to model amplitude-phase relationships of the neurons. The analysis shows that the extensions of EMD to the recordings are magnificent. Simulations on trains of spiking neurons support the analysis.\",\"PeriodicalId\":309894,\"journal\":{\"name\":\"2008 3rd IEEE Conference on Industrial Electronics and Applications\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 3rd IEEE Conference on Industrial Electronics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2008.4582667\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 3rd IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2008.4582667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hidden component analysis of undetermined recordings
The aim of the study is to recover and detect the neglected hidden mirror neurons in the neuronal spikes recordings. The investigation and the detection of the hidden neurons were conducted using the standard and ensemble and complex Empirical Mode Decomposition (EMD). The extension to the field of complex numbers C is particularly important for the analysis of phase-dependent neuronal study. This allows us to combine the data driven nature of EMD with the power of complex algebra to model amplitude-phase relationships of the neurons. The analysis shows that the extensions of EMD to the recordings are magnificent. Simulations on trains of spiking neurons support the analysis.
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