神经元爆发的离子浓度动力学机制
Ion Concentration Dynamics as a Mechanism for Neuronal Bursting
摘要：
我们描述了一个简单的基于电导的模型神经元，包括细胞内和细胞外离子浓度动态，并表明该模型具有周期性的爆发。当神经元的快速尖峰行为被离子浓度变量中的缓慢振荡行为调制时，爆发出现，反之亦然。通过分离这些时间尺度和研究的神经元的分叉结构，我们编目几个定性不同的爆裂配置文件是惊人的相似，在实验准备。我们的工作表明，离子浓度动力学可能在调节神经元兴奋性在实际的生物系统中发挥重要作用。
英文摘要：
We describe a simple conductance-based model neuron that includes intra- and extra-cellular ion concentration dynamics and show that this model exhibits periodic bursting. The bursting arises as the fast spiking behavior of the neuron is modulated by the slow oscillatory behavior in the ion concentration variables, and vice versa. By separating these time scales and studying the bifurcation structure of the neuron, we catalog several qualitatively different bursting profiles that are strikingly similar to those seen in experimental preparations. Our work suggests that ion concentration dynamics may play an important role in modulating neuronal excitability in real biological systems.
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