Department of Physics, University of Ottawa Ottawa, ON, Canada.
Cortical Dynamics and Multisensory Processing Team, Unit of Neuroscience Information and Complexity, CNRS UPR-3239 Gif-sur-Yvette, France.
Front Comput Neurosci. 2014 Aug 13;8:90. doi: 10.3389/fncom.2014.00090. eCollection 2014.
A complete single-neuron model must correctly reproduce the firing of spikes and bursts. We present a study of a simplified model of deep pyramidal cells of the cortex with active dendrites. We hypothesized that we can model the soma and its apical dendrite with only two compartments, without significant loss in the accuracy of spike-timing predictions. The model is based on experimentally measurable impulse-response functions, which transfer the effect of current injected in one compartment to current reaching the other. Each compartment was modeled with a pair of non-linear differential equations and a small number of parameters that approximate the Hodgkin-and-Huxley equations. The predictive power of this model was tested on electrophysiological experiments where noisy current was injected in both the soma and the apical dendrite simultaneously. We conclude that a simple two-compartment model can predict spike times of pyramidal cells stimulated in the soma and dendrites simultaneously. Our results support that regenerating activity in the apical dendritic is required to properly account for the dynamics of layer 5 pyramidal cells under in-vivo-like conditions.
一个完整的单神经元模型必须正确地再现尖峰和爆发的发放。我们提出了一个对具有活性树突的皮质深锥体神经元的简化模型的研究。我们假设,我们可以用仅两个隔室来模拟胞体及其顶树突,而不会在尖峰时间预测的准确性上有显著的损失。该模型基于可测量的实验脉冲响应函数,该函数将在一个隔室中注入的电流的效果传递到到达另一个隔室的电流。每个隔室都用一对非线性微分方程和少量参数进行建模,这些参数近似于 Hodgkin-Huxley 方程。该模型的预测能力在同时向胞体和顶树突注入噪声电流的电生理实验中进行了测试。我们的结论是,一个简单的两隔室模型可以预测同时刺激胞体和树突的锥体神经元的尖峰时间。我们的结果支持,为了在类似于体内的条件下正确地解释 5 层锥体神经元的动力学,需要在顶树突中再生活动。