A critical study of network models for neural networks and their dynamics

被引:1
|
作者
Govan, G. [1 ]
Xenos, A. [1 ]
Frisco, P. [1 ]
机构
[1] Heriot Watt Univ, Sch Math & Comp Sci, Edinburgh EH14 4AS, Midlothian, Scotland
关键词
Network model; Small world; Topology; Dynamics; SMALL-WORLD; SPIKING; OSCILLATIONS; TOPOLOGY;
D O I
10.1016/j.jtbi.2013.07.005
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We use three network models, Erdos-Renyi, Watts-Strogatz and structured nodes, to generate networks sharing several topological features with the neural network of C. elegans (our target network). A new topological measurement, incoming and outgoing edges heat maps, is introduced and used to compare the considered networks. We run these networks as random recurrent neural networks and study their dynamics. We find out that none of the considered network models generates networks similar to the target one both in their topological features and dynamics. Moreover, we find that the dynamics of the target network are very robust to the rewiring of its edges. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 10
页数:10
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