Barreto Ernest, Cressman John R
Center for Neural Dynamics, Department of Physics & Astronomy, and The Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA 22030 USA.
J Biol Phys. 2011 Jun;37(3):361-73. doi: 10.1007/s10867-010-9212-6. Epub 2011 Jan 11.
We describe a simple conductance-based model neuron that includes intra- and extracellular 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.
我们描述了一个基于电导的简单模型神经元，该模型包含细胞内和细胞外离子浓度动态变化，并表明此模型呈现周期性爆发。这种爆发的产生是由于神经元的快速放电行为受到离子浓度变量中缓慢振荡行为的调制，反之亦然。通过分离这些时间尺度并研究神经元的分岔结构，我们梳理出几种在性质上不同的爆发模式，它们与实验准备中观察到的模式惊人地相似。我们的工作表明，离子浓度动态变化可能在调节真实生物系统中的神经元兴奋性方面发挥重要作用。
