{"title":"小脑浦肯野神经元钠离子通道电流的马尔可夫模型","authors":"V. Ozkaner, T. Kayikçioglu","doi":"10.1109/SIU.2006.1659758","DOIUrl":null,"url":null,"abstract":"In this study, a Markov model for gating kinetics of sodium channel currents in dissociated cerebellar Purkinje neurons is developed. The model is based on voltage-clamped, resurgent and action potential evoked currents, known as macroscopic currents. It is different from previously developed models. In this model, some modifications are made in the number of states and channel rate constants. The model parameters are determined using trial and error procedure to minimizing the error between model responses and three experimental data sets. The developed sodium channel model reproduces quantitatively all features of the experimental data sets, with minor discrepancies","PeriodicalId":415037,"journal":{"name":"2006 IEEE 14th Signal Processing and Communications Applications","volume":"182 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Markov Model Developed For Sodium Channel Currents In Cerebellar Purkinje Neurons\",\"authors\":\"V. Ozkaner, T. Kayikçioglu\",\"doi\":\"10.1109/SIU.2006.1659758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, a Markov model for gating kinetics of sodium channel currents in dissociated cerebellar Purkinje neurons is developed. The model is based on voltage-clamped, resurgent and action potential evoked currents, known as macroscopic currents. It is different from previously developed models. In this model, some modifications are made in the number of states and channel rate constants. The model parameters are determined using trial and error procedure to minimizing the error between model responses and three experimental data sets. The developed sodium channel model reproduces quantitatively all features of the experimental data sets, with minor discrepancies\",\"PeriodicalId\":415037,\"journal\":{\"name\":\"2006 IEEE 14th Signal Processing and Communications Applications\",\"volume\":\"182 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE 14th Signal Processing and Communications Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2006.1659758\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE 14th Signal Processing and Communications Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2006.1659758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Markov Model Developed For Sodium Channel Currents In Cerebellar Purkinje Neurons
In this study, a Markov model for gating kinetics of sodium channel currents in dissociated cerebellar Purkinje neurons is developed. The model is based on voltage-clamped, resurgent and action potential evoked currents, known as macroscopic currents. It is different from previously developed models. In this model, some modifications are made in the number of states and channel rate constants. The model parameters are determined using trial and error procedure to minimizing the error between model responses and three experimental data sets. The developed sodium channel model reproduces quantitatively all features of the experimental data sets, with minor discrepancies