DocumentCode
2668021
Title
Effect of hybrid synapses on vibrational resonance in neuron populations with small-world topology
Author
Sun, Jianbing ; Deng, Bin ; Wei, Xile ; Wang, Jiang ; Zhao, Jia
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear
2012
fDate
23-25 May 2012
Firstpage
1172
Lastpage
1177
Abstract
The response of fifty coupled FitzHugh-Nagumo neurons with small-world topology, under high-frequency driving, to a subthreshold signal is investigated. We demonstrate the occurrence of vibrational resonance and it is shown that optimal amplitude of the high-frequency driving enhances the response of neuron populations to a subthreshold low-frequency input. Simulation results show that chemical coupling is more efficient than electrical coupling in signal detection and electrical coupling is better in signal transmission for local input. Networks with hybrid synaptic couplings combine the advantages in signal detection and propagation. By altering the ratio of the two types of synapse in hybrid coupled neuron population, it is shown that no matter what its ratio in a neuron population is, the chemical synapses will improve the ability of weak signal detection of neuron populations all the time. And the larger ratio of the electrical coupling in a neuron population is, the better the signal is propagated.
Keywords
bioelectric phenomena; neural nets; neurophysiology; resonance; signal detection; topology; FitzHugh-Nagumo neurons; chemical coupling; electrical coupling; high-frequency driving; hybrid coupled neuron population; hybrid synaptic couplings; local input; optimal amplitude; signal detection; signal propagation; signal transmission; small-world topology; subthreshold low-frequency input; vibrational resonance; Chemicals; Couplings; Neurons; Oscillators; Signal detection; Synchronization; Topology; Hybrid Synapses; Small-world Network; Vibrational Resonance;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244187
Filename
6244187
Link To Document