Effects of Synaptic Heterogenity on Vibrational Resonance in Biological Neural Networks

被引：0
|
作者：
Agaoglu, Sukruye Nihal [1 ]
Calim, Ali [2 ]
Ozer, Mahmut [3 ]
Uzuntarla, Muhammet [2 ]
机构：
[1] Gaziosmanpasa Univ, Turhal Meslek Yuksekokulu, Elekt & Otomasyon Bolumu, Turhal Tokat, Turkey
[2] Bulent Ecevit Univ, Biyomed Muhendisligi Bolumu, TR-67100 Incivez Zonguldak, Turkey
[3] Bulent Ecevit Univ, Elekt Elekt Muhendisligi Bolumu, TR-67100 Incivez Zonguldak, Turkey
来源：
2016 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO) | 2015年
关键词：
FitzHugh-Nagumo; vibrational resonance; weighted network; STOCHASTIC RESONANCE; COHERENCE; NEURONS; NOISE;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this study, vibrational resonance phenomena is investigated for topologies of scale-free network in excitable neural system. Effect of heterogeneity which emerges from weightening synaptic conductivity in neural network on performance of weak signal detection is studied. FitzHugh-Nagumo neuron model with electrical coupling is used as excitable system. In the result of numerical simulations; it is seen that the state of the scale-free network being unweighted or weighted, synaptic conductivity and average connectivity degree play a crucial role for determining performance of information coding of neuron population based on vibrational resonance.
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页数：4
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