文章基本信息

标题：Automatic Estimation of the Dynamics of Channel Conductance Using a Recurrent Neural Network
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作者：Masaaki Takahashi ; Kiyohisa Natsume
期刊名称：Advances in Artificial Neural Systems
印刷版ISSN：1687-7594
电子版ISSN：1687-7608
出版年度：2009
卷号：2009
DOI：10.1155/2009/724092
出版社：Hindawi Publishing Corporation
摘要：In order to simulate neuronal electrical activities, we must estimate the dynamics of channel conductances from physiological experimental data. However, this approach requires the formulation of differential equations that express the time course of channel conductance. On the other hand, if the dynamics are automatically estimated, neuronal activities can be easily simulated. By using a recurrent neural network (RNN), it is possible to estimate the dynamics of channel conductances without formulating the differential equations. In the present study, we estimated the dynamics of the Na