{"title":"基于电导的突触输入的Hodgkin和Huxley模型动力学","authors":"Priyanka Bajaj, A. Garg","doi":"10.1109/IJCNN.2013.6706900","DOIUrl":null,"url":null,"abstract":"The original Hodgkin and Huxley equations are landmark equations explaining the generation of action potential in a biological neuron. Moreover, many studies have been done on the Hodgkin and Huxley model with constant injected current. Here we present an Extended Hodgkin and Huxley model with conductance based excitatory and inhibitory synaptic inputs. It is asserted that the Hodgkin and Huxley model remains robust with the all kinds of synaptic inputs. Moreover, this model is more tractable to a biological neuron.","PeriodicalId":376975,"journal":{"name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dynamics of Hodgkin and Huxley model with conductance based synaptic input\",\"authors\":\"Priyanka Bajaj, A. Garg\",\"doi\":\"10.1109/IJCNN.2013.6706900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The original Hodgkin and Huxley equations are landmark equations explaining the generation of action potential in a biological neuron. Moreover, many studies have been done on the Hodgkin and Huxley model with constant injected current. Here we present an Extended Hodgkin and Huxley model with conductance based excitatory and inhibitory synaptic inputs. It is asserted that the Hodgkin and Huxley model remains robust with the all kinds of synaptic inputs. Moreover, this model is more tractable to a biological neuron.\",\"PeriodicalId\":376975,\"journal\":{\"name\":\"The 2013 International Joint Conference on Neural Networks (IJCNN)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2013 International Joint Conference on Neural Networks (IJCNN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.2013.6706900\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2013 International Joint Conference on Neural Networks (IJCNN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.2013.6706900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamics of Hodgkin and Huxley model with conductance based synaptic input
The original Hodgkin and Huxley equations are landmark equations explaining the generation of action potential in a biological neuron. Moreover, many studies have been done on the Hodgkin and Huxley model with constant injected current. Here we present an Extended Hodgkin and Huxley model with conductance based excitatory and inhibitory synaptic inputs. It is asserted that the Hodgkin and Huxley model remains robust with the all kinds of synaptic inputs. Moreover, this model is more tractable to a biological neuron.