

Author: Li Huiyan Sun Xiaojuan Xiao Jinghua
Publisher: Edp Sciences
E-ISSN: 1286-4854|121|1|10003-10003
ISSN: 0295-5075
Source: EPL (EUROPHYSICS LETTERS), Vol.121, Iss.1, 2018-04, pp. : 10003-10003
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
An excitatory-inhibitory recurrent neuronal network is established to numerically study the effect of inhibitory neurons on the synchronization degree of neuronal systems. The obtained results show that, with the number of inhibitory neurons and the coupling strength from an inhibitory neuron to an excitatory neuron increasing, inhibitory neurons can not only reduce the synchronization degree when the synchronization degree of the excitatory population is initially higher, but also enhance it when it is initially lower. Meanwhile, inhibitory neurons could also help the neuronal networks to maintain moderate synchronized states. In this paper, we call this effect as modulation effect of inhibitory neurons. With the obtained results, it is further revealed that the ratio of excitatory neurons to inhibitory neurons being nearly 4 : 1 is an economic and affordable choice for inhibitory neurons to realize this modulation effect.
Related content




Bursting synchronization in clustered neuronal networks
By Hai-Tao Yu Jiang Wang Bin Deng Xi-Le Wei
Chinese Physics B, Vol. 22, Iss. 1, 2013-01 ,pp. :




Pattern formation and firing synchronization in networks of map neurons
New Journal of Physics, Vol. 9, Iss. 10, 2007-10 ,pp. :


General scaling of maximum degree of synchronization in noisy complex networks
New Journal of Physics, Vol. 16, Iss. 11, 2014-11 ,pp. :