Computational model of electrically coupled, intrinsically distinct pacemaker neurons
Computational model of electrically coupled, intrinsically distinct pacemaker neurons
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DOI：
10.1152/jn.00013.2005
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发表时间：
2005-07-01
影响因子：
2.5
通讯作者：
Nadim, F
中科院分区：
文献类型：
--
作者：
Soto-Treviño, C;Rabbah, P;Nadim, F
具有相似性质的神经元之间的电耦合经常被研究。尽管如此，具有广泛不同的内在特性的神经元之间的电耦合的作用也会发生，但不太清楚。受甲壳动物幽门神经网络起搏器组的启发，我们开发了一个多室，基于电导的模型，一个小的网络，本质上不同的，电耦合的神经元。在幽门神经网络中，一个小的内在爆发神经元，通过缝隙连接，驱动2个较大的，紧张性尖峰神经元与它同步爆发。每个模型神经元有2个隔室，一个负责产生尖峰，另一个负责产生缓慢的，大幅度的振荡。我们说明了这些隔间如何相互作用，并确定模型神经元的动力学。我们的模型捕获的动态振荡范围测量从孤立和耦合的生物神经元。在网络层面上，我们探索的范围内的耦合强度同步爆发振荡是可能的。离子电流的空间分离显著增强了2个神经元同步爆发的能力，并且模型起搏器网络的振荡范围不仅取决于电突触的强度，而且还取决于接收输入的神经元的身份。我们还比较了电耦合的，不同的神经元与耦合相同的爆裂神经元的网络的活动。对于小到中等的耦合强度，相同元件的网络在接收不对称输入时，可以具有比其隔离的组成神经元更小的振荡动态范围。
Electrical coupling between neurons with similar properties is often studied. Nonetheless, the role of electrical coupling between neurons with widely different intrinsic properties also occurs, but is less well understood. Inspired by the pacemaker group of the crustacean pyloric network, we developed a multicompartment, conductance-based model of a small network of intrinsically distinct, electrically coupled neurons. In the pyloric network, a small intrinsically bursting neuron, through gap junctions, drives 2 larger, tonically spiking neurons to reliably burst in-phase with it. Each model neuron has 2 compartments, one responsible for spike generation and the other for producing a slow, large-amplitude oscillation. We illustrate how these compartments interact and determine the dynamics of the model neurons. Our model captures the dynamic oscillation range measured from the isolated and coupled biological neurons. At the network level, we explore the range of coupling strengths for which synchronous bursting oscillations are possible. The spatial segregation of ionic currents significantly enhances the ability of the 2 neurons to burst synchronously, and the oscillation range of the model pacemaker network depends not only on the strength of the electrical synapse but also on the identity of the neuron receiving inputs. We also compare the activity of the electrically coupled, distinct neurons with that of a network of coupled identical bursting neurons. For small to moderate coupling strengths, the network of identical elements, when receiving asymmetrical inputs, can have a smaller dynamic range of oscillation than that of its constituent neurons in isolation.