Crotty Patrick, Lasker Eric, Cheng Sen
Department of Physics and Astronomy, Colgate University, 13 Oak Drive, Hamilton, New York 13346, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jul;86(1 Pt 1):011908. doi: 10.1103/PhysRevE.86.011908. Epub 2012 Jul 10.
Synchronized oscillations of large numbers of central neurons are believed to be important for a wide variety of cognitive functions, including long-term memory recall and spatial navigation. It is therefore plausible that evolution has optimized the biophysical properties of central neurons in some way for synchronized oscillations to occur. Here, we use computational models to investigate the relationships between the presumably genetically determined parameters of stellate cells in layer II of the entorhinal cortex and the ability of coupled populations of these cells to synchronize their intrinsic oscillations: in particular, we calculate the time it takes circuits of two or three cells with initially randomly distributed phases to synchronize their oscillations to within one action potential width, and the metabolic energy they consume in doing so. For recurrent circuit topologies, we find that parameters giving low intrinsic firing frequencies close to those actually observed are strongly advantageous for both synchronization time and metabolic energy consumption.
大量中枢神经元的同步振荡被认为对多种认知功能很重要，包括长期记忆回忆和空间导航。因此，进化以某种方式优化中枢神经元的生物物理特性以实现同步振荡是合理的。在这里，我们使用计算模型来研究内嗅皮层第二层星状细胞的可能由基因决定的参数与这些细胞的耦合群体同步其固有振荡的能力之间的关系：特别是，我们计算了两个或三个初始相位随机分布的细胞电路将其振荡同步到一个动作电位宽度内所需的时间，以及它们在此过程中消耗的代谢能量。对于循环电路拓扑结构，我们发现，给出接近实际观察到的低固有放电频率的参数对于同步时间和代谢能量消耗都非常有利。
