Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves
Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves
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DOI：
10.1007/s00422-008-0259-4
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发表时间：
2008-11-01
影响因子：
1.9
通讯作者：
Richardson, Magnus J. E.
中科院分区：
文献类型：
--
作者：
Badel, Laurent;Lefort, Sandrine;Richardson, Magnus J. E.
动态I-V曲线法是近年来提出的一种有效的神经元简化模型的实验生成方法。该方法提取神经元的响应特性，同时它受到模仿体内波动突触驱动的自然刺激。由此产生的历史依赖性，跨膜电流，然后投射到一个一维的电流-电压关系，提供了一个易处理的非线性积分和火灾模型的基础。该方法的一个有吸引力的特点是，它可以用于尖峰触发模式，以量化不同类别的皮层神经元后尖峰不应性的不同模式。该方法首先使用基于电导的模型来说明，然后在注入电流和注入电导协议中通过实验应用于生成皮质层5锥体细胞和中间神经元的简化模型。由此产生的低维神经元模型的耐火指数积分和消防型提供高度准确的预测尖峰时间。因此，该方法提供了一个有用的工具，易于处理的模型的建设和快速的实验分类皮层神经元。
The dynamic I-V curve method was recently introduced for the efficient experimental generation of reduced neuron models. The method extracts the response properties of a neuron while it is subject to a naturalistic stimulus that mimics in vivo-like fluctuating synaptic drive. The resulting history-dependent, transmembrane current is then projected onto a one-dimensional current-voltage relation that provides the basis for a tractable non-linear integrate-and-fire model. An attractive feature of the method is that it can be used in spike-triggered mode to quantify the distinct patterns of post-spike refractoriness seen in different classes of cortical neuron. The method is first illustrated using a conductance-based model and is then applied experimentally to generate reduced models of cortical layer-5 pyramidal cells and interneurons, in injected-current and injected- conductance protocols. The resulting low-dimensional neuron models-of the refractory exponential integrate-and-fire type-provide highly accurate predictions for spike-times. The method therefore provides a useful tool for the construction of tractable models and rapid experimental classification of cortical neurons.