{"title":"FMRI成像中湍流流动与动作电位相互作用的神经回路表征","authors":"Sarah R. Stanley, B. Kuhr","doi":"10.1109/SIEDS58326.2023.10137827","DOIUrl":null,"url":null,"abstract":"Simulation of neural circuits in the brain has been the focus of research from several academic disciplines. In this paper, preliminary comparisons are made between brain activity and turbulent fluid flow. The interplay correlation is drawn from the mathematics of turbulent flow in fluid dynamics, and action potential from FMRI mapping of the brain. The results are drawn from the correlation of the analysis of kinetic energy in the two processes. This work requires heavy analysis of FMRI mapping data, to strengthen the interplay correlation. The results from this study may be able to inform more accurate physical models, and thus more accurate and robust simulations of the brain","PeriodicalId":267464,"journal":{"name":"2023 Systems and Information Engineering Design Symposium (SIEDS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural Circuit Representation Through the Interplay Correlation of Turbulent Fluid Flow and Action Potential from FMRI Mapping\",\"authors\":\"Sarah R. Stanley, B. Kuhr\",\"doi\":\"10.1109/SIEDS58326.2023.10137827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Simulation of neural circuits in the brain has been the focus of research from several academic disciplines. In this paper, preliminary comparisons are made between brain activity and turbulent fluid flow. The interplay correlation is drawn from the mathematics of turbulent flow in fluid dynamics, and action potential from FMRI mapping of the brain. The results are drawn from the correlation of the analysis of kinetic energy in the two processes. This work requires heavy analysis of FMRI mapping data, to strengthen the interplay correlation. The results from this study may be able to inform more accurate physical models, and thus more accurate and robust simulations of the brain\",\"PeriodicalId\":267464,\"journal\":{\"name\":\"2023 Systems and Information Engineering Design Symposium (SIEDS)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 Systems and Information Engineering Design Symposium (SIEDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIEDS58326.2023.10137827\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Systems and Information Engineering Design Symposium (SIEDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIEDS58326.2023.10137827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural Circuit Representation Through the Interplay Correlation of Turbulent Fluid Flow and Action Potential from FMRI Mapping
Simulation of neural circuits in the brain has been the focus of research from several academic disciplines. In this paper, preliminary comparisons are made between brain activity and turbulent fluid flow. The interplay correlation is drawn from the mathematics of turbulent flow in fluid dynamics, and action potential from FMRI mapping of the brain. The results are drawn from the correlation of the analysis of kinetic energy in the two processes. This work requires heavy analysis of FMRI mapping data, to strengthen the interplay correlation. The results from this study may be able to inform more accurate physical models, and thus more accurate and robust simulations of the brain