Effects of passive dendritic tree properties on the firing dynamics of a leaky-integrate-and-fire neuron

被引:6
|
作者
Saparov, Abulhair [1 ]
Schwemmer, Michael A. [2 ]
机构
[1] Carnegie Mellon Univ, Machine Learning Dept, Pittsburgh, PA 15213 USA
[2] Ohio State Univ, Math Biosci Inst, Columbus, OH 43210 USA
基金
美国国家科学基金会;
关键词
Integrate-and-fire neuron; Dendritic branching; Multi-compartment model; Bistability; Map reduction; MODEL; NETWORK;
D O I
10.1016/j.mbs.2015.08.014
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We study the effects of dendritic tree topology and biophysical properties on the firing dynamics of a leaky-integrate-and-fire (LIF) neuron that explicitly includes spiking dynamics. We model the dendrites as a multicompartment tree with passive dynamics. Owing to the simplicity of the system, we obtain the full analytical solution for the model which we use to derive a lower dimensional return map that captures the complete dynamics of the system. Using the map, we explore how biophysical properties and dendritic tree architecture affect firing dynamics. As was first reported in earlier work by one of the authors, we also find that the addition of the dendritic tree can induce bistability between periodic firing and quiescence. However, we go beyond their results by systematically examining how dendritic tree topology affects the appearance of this bistable behavior. We find that the structure of the dendritic tree can have significant quantitative effects on the bifurcation structure of the system, with branchier topologies tending to promote bistable behavior over unbranched chain topologies. We also show that this effect occurs even when the input conductance at the soma is held fixed, indicating that the topology of the dendritic tree is mainly responsible for this quantitative change in the bifurcation structure. Lastly, we demonstrate how our framework can be used to explore the effect of biophysical properties on the firing dynamics of a neuron with a more complex dendritic tree topology. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:61 / 75
页数:15
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