Automatic Estimation of the Dynamics of Channel Conductance Using a Recurrent Neural Network

作者:Masaaki Takahashi; Kiyohisa Natsume
来源:Advances in Artificial Neural Systems, 2009, 2009: 1-10.
DOI:10.1155/2009/724092

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

  • 出版日期2009

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