Predicting spike timings of current-injected neurons
Predicting spike timings of current-injected neurons
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DOI：
10.1016/j.neunet.2003.11.005
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发表时间：
2004-03
期刊：
影响因子：
--
通讯作者：
Y. Tsubo;T. Kaneko;S. Shinomoto
中科院分区：
文献类型：
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作者：
Y. Tsubo;T. Kaneko;S. Shinomoto
使用一组固定的参数值，对典型的神经放电模型进行了测试，考察了在各种波动电流下复制和预测生物神经元的棘波序列的能力。Hodgkin-Huxley模型的预测精度特别好，该模型增加了产生缓慢后超极化的钙依赖钾电流和/或毒鼠强敏感钾电流。在成功的参数测定方法中，有效膜时间常数估计得很短，通常约为5ms。我们研究的生物神经元根据这些离子通道的估计百分比含量被明显地分为两种类型。
Typical neurospiking models were examined on the ability to reproduce and predict the spike sequences of a biological neuron for a variety of fluctuating currents, using a fixed set of parameter values. The predicting accuracy was found to be particularly good for the Hodgkin–Huxley models augmented with the Ca2+-dependent potassium current generating slow afterhyper-polarization and/or the muscarine-sensitive potassium current. In the successful parameter determination method, the effective membrane time constant is estimated very short, typically about 5 ms. The biological neurons we examined were distinctly classified into two types according to the estimated percent contents of those ionic channels.