On synchronization in heterogeneous FitzHugh–Nagumo networks

SA Plotnikov, AL Fradkov - Chaos, Solitons & Fractals, 2019 - Elsevier
Biological systems are often composed of various heterogeneous units. It is an important
problem to investigate how this heterogeneity affects the network dynamics, namely …

Effects of network topologies on stochastic resonance in feedforward neural network

J Zhao, Y Qin, Y Che, H Ran, J Li - Cognitive Neurodynamics, 2020 - Springer
The effects of network topologies on signal propagation are studied in noisy feedforward
neural network in detail, where the network topologies are modulated by changing both the …

Practical dynamic consensus of Stuart–Landau oscillators over heterogeneous networks

E Panteley, A Loria, A El-Ati - International Journal of Control, 2020 - Taylor & Francis
ABSTRACT In Panteley and Loria (2017), a framework for the study of synchronisation and
collective behaviour of networked heterogeneous systems was introduced. It was underlined …

Effects of degree distributions on signal propagation in noisy feedforward neural networks

YM Qin, YQ Che, J Zhao - Physica A: Statistical Mechanics and its …, 2018 - Elsevier
We focus on the effects of degree distributions on signal propagation in noisy feedforward
networks (FFNs) based on the FitzHugh–Nagumo neuron model. Three FFN topologies are …

Effect of Degree Distribution on Signal Propagation Based on Heterogeneous High-frequency Stimuli in Feedforward Networks

B Xue, Y Qin, J Liu, Q Qin, C Han - Proceedings of the Fourth …, 2020 - dl.acm.org
In the feedforward neural network based on FHN neurons, heterogeneous high-frequency
signals have a promoting effect on weak low-frequency signals, and the influence of …

Effects of Degree Distribution on Signal Propagation in the Heterogeneous Feedforward Neural Network

Y Qin, B Xue, H Zheng, C Han, Q Qin… - 2019 12th International …, 2019 - ieeexplore.ieee.org
Based on the heterogeneous feedforward neural network (FFN) model, we studied the effect
of degree distribution on signal propagation in the heterogeneous neural network. Three …