Volume 121, Number 1, January 2018
|Number of page(s)||7|
|Published online||07 March 2018|
Degree of synchronization modulated by inhibitory neurons in clustered excitatory-inhibitory recurrent networks
School of Science, Beijing University of Posts and Telecommunications - No. 10 Xitucheng Road, 100876 Beijing, China
Received: 22 November 2017
Accepted: 15 February 2018
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.
PACS: 05.45.Xt – Synchronization; coupled oscillators / 87.18.Sn – Neural networks and synaptic communication / 05.45.-a – Nonlinear dynamics and chaos
© EPLA, 2018
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