Robustness of gamma-oscillation in networks of excitatory and inhibitory neurons with conductance-based synapse

Authors:
Haibo Shi;Zhijie Wang;Jinli Xie;Chongbin Guo
Affiliations:
College of Information Science and Technology, Donghua University, Shanghai, China;College of Information Science and Technology, Donghua University, Shanghai, China;College of Information Science and Technology, Donghua University, Shanghai, China;College of Information Science and Technology, Donghua University, Shanghai, China
Venue:
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Year:
2011

Citing 2
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Abstract

The stability of synchronization in E/I networks (networks of excitatory and inhibitory neurons) has been explored in many studies. However, how the robust synchronization occurs in highly heterogeneous real neural circuits has not been studied sufficiently. This paper considers the robustness of the synchronization in E/I network, and found that both the frequency and the synchrony of the network are highly dependent on the parameter settings. A short but indispensable inhibition delay, sufficiently fast decay of inhibitory synapses, and strong connections are critical to turn the E/I networks into robust gamma frequency oscillators. The networks under these conditions can achieve a level of robustness against heterogeneity as high as 30%, which is comparable to the level of heterogeneity observed in real neural systems.