Studying response to external driving in a model of thalamocortical system with specialized neuron equations

A. Kapustnikov, M. Sysoeva, I. Sysoev
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引用次数: 0

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.
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
在这项工作中,考虑了一个由28个连接的神经振荡器组成的集合来模拟癫痫。在这个集合中有五种类型的神经元,每种类型的模型都有特定的生理上证明的神经元模型,并选择了生理上合理的参数。此外,由于网络中存在兴奋性和抑制性连接,我们决定分别使用AMPA和GABA受体的生理突触模型。结果表明,这样的系统能够证明长瞬态模拟癫痫样活动类似于先前考虑的模型。这证实了网络结构在癫痫发作发生中起关键作用的假设,并基于生理学证明的模型和参数验证了这一观点,并增加了潜在观点的科学意义。
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