{"title":"基于特殊神经元方程的丘脑皮质系统模型对外部驱动的响应研究","authors":"A. Kapustnikov, M. Sysoeva, I. Sysoev","doi":"10.1109/DCNA56428.2022.9923221","DOIUrl":null,"url":null,"abstract":"In this work, an ensemble of 28 connected neurooscillators for modeling epilepsy was considered. There were five types of neurons in this ensemble, with specific physiologically proved neuron models with physiologically reasonable parameters selected for each type of models. In addition, due to the presence of excitatory and inhibitory connections in the network, it was decided to use physiological synapse models for AMPA and GABA receptors, respectively. As a result, it was shown that such a system is capable of demonstrating long transients simulating epileptiform activity similarly to the previously considered models. This confirms the hypothesis of the network structure, key role in the occurrence of epileptic seizures, with validating this idea based on physiologically proved models and parameters and increasing the scientific significance of the underlying idea.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Studying response to external driving in a model of thalamocortical system with specialized neuron equations\",\"authors\":\"A. Kapustnikov, M. Sysoeva, I. Sysoev\",\"doi\":\"10.1109/DCNA56428.2022.9923221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, an ensemble of 28 connected neurooscillators for modeling epilepsy was considered. There were five types of neurons in this ensemble, with specific physiologically proved neuron models with physiologically reasonable parameters selected for each type of models. In addition, due to the presence of excitatory and inhibitory connections in the network, it was decided to use physiological synapse models for AMPA and GABA receptors, respectively. As a result, it was shown that such a system is capable of demonstrating long transients simulating epileptiform activity similarly to the previously considered models. This confirms the hypothesis of the network structure, key role in the occurrence of epileptic seizures, with validating this idea based on physiologically proved models and parameters and increasing the scientific significance of the underlying idea.\",\"PeriodicalId\":110836,\"journal\":{\"name\":\"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCNA56428.2022.9923221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCNA56428.2022.9923221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Studying response to external driving in a model of thalamocortical system with specialized neuron equations
In this work, an ensemble of 28 connected neurooscillators for modeling epilepsy was considered. There were five types of neurons in this ensemble, with specific physiologically proved neuron models with physiologically reasonable parameters selected for each type of models. In addition, due to the presence of excitatory and inhibitory connections in the network, it was decided to use physiological synapse models for AMPA and GABA receptors, respectively. As a result, it was shown that such a system is capable of demonstrating long transients simulating epileptiform activity similarly to the previously considered models. This confirms the hypothesis of the network structure, key role in the occurrence of epileptic seizures, with validating this idea based on physiologically proved models and parameters and increasing the scientific significance of the underlying idea.