Agmon-Snir H
Department of Neurobiology, Institute of Life Sciences, Hebrew University, Jerusalem, Israel.
Biophys J. 1995 Nov;69(5):1633-56. doi: 10.1016/S0006-3495(95)80038-X.
A novel theoretical framework for analyzing dendritic transients is introduced. This approach, called the method of moments, is an extension of Rall's cable theory for dendrites. It provides analytic investigation of voltage attenuation, signal delay, and synchronization problems in passive dendritic trees. In this method, the various moments of a transient signal are used to characterize the properties of the transient. The strength of the signal is measured by the time integral of the signal, its characteristic time is determined by its centroid ("center of gravity"), and the width of the signal is determined by a measure similar to the standard deviation in probability theory. Using these signal properties, the method of moments provides theorems, expressions, and efficient algorithms for analyzing the voltage response in arbitrary passive trees. The method yields new insights into spatiotemporal integration, coincidence detection mechanisms, and the properties of local interactions between synaptic inputs in dendritic trees. The method can also be used for matching dendritic neuron models to experimental data and for the analysis of synaptic inputs recorded experimentally.
介绍了一种用于分析树突瞬态的新颖理论框架。这种方法称为矩量法，是拉氏电缆理论对树突的扩展。它为无源树突树中的电压衰减、信号延迟和同步问题提供了分析研究。在这种方法中，瞬态信号的各个矩用于表征瞬态的特性。信号强度通过信号的时间积分来测量，其特征时间由其质心（“重心”）确定，信号宽度由类似于概率论中标准差的量度确定。利用这些信号特性，矩量法提供了用于分析任意无源树中电压响应的定理、表达式和高效算法。该方法为时空整合、巧合检测机制以及树突树中突触输入之间局部相互作用的特性提供了新的见解。该方法还可用于将树突神经元模型与实验数据进行匹配，以及分析实验记录的突触输入。
