Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
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DOI：
10.1152/jn.00686.2005
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发表时间：
2005-11-01
影响因子：
2.5
通讯作者：
Gerstner, W
中科院分区：
文献类型：
--
作者：
Brette, R;Gerstner, W
基于最近的理论发现，我们引入了一个二维的综合火灾模型，该模型结合了指数尖峰机制和适应方程。我们描述了一种系统的方法来估计其参数与简单的电生理协议（电流钳注入脉冲和斜坡），并将其应用于一个详细的基于电导的规则尖峰神经元模型。我们的简单模型正确地预测了详细模型中96%的峰值（+/- 2 ms）的时间，以响应噪声突触传导的注入。该模型在高电导状态下特别可靠，这是体内皮层活动的典型状态，在这种状态下，发现固有电导在形成尖峰序列中的作用减弱。这些结果是有希望的，因为这个简单的模型有足够的表达能力来定性地再现体外描述的几种电生理类别。
We introduce a two-dimensional integrateand- fire model that combines an exponential spike mechanism with an adaptation equation, based on recent theoretical findings. We describe a systematic method to estimate its parameters with simple electrophysiological protocols (current-clamp injection of pulses and ramps) and apply it to a detailed conductance-based model of a regular spiking neuron. Our simple model predicts correctly the timing of 96% of the spikes ( +/- 2 ms) of the detailed model in response to injection of noisy synaptic conductances. The model is especially reliable in high-conductance states, typical of cortical activity in vivo, in which intrinsic conductances were found to have a reduced role in shaping spike trains. These results are promising because this simple model has enough expressive power to reproduce qualitatively several electrophysiological classes described in vitro.