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Inhibition of rhythmic spiking by colored noise in neural systems

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Abstract

We study the effect of colored noise on the rhythmic spiking activity of neural systems in this paper. The phenomenon of the so-called inverse stochastic resonance , that is, noise with appropriate intensity suppresses the spiking activity in neural systems, is clearly observed in a special parameter regime. We find that the inhibition effect of colored noise is stronger than that of Gaussian white noise. Furthermore, our simulation results show that the inhibition effect of colored noise provides a useful mechanism for the generation of synchronized burst in type-2 mixed-feed-forward-feedback loop neuronal network motif, which indicates that such inhibition effect might have some biological implications.

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Acknowledgements

We sincerely thank Prof. Chunguang Li and Feng Chen for valuable comments on an early version of this manuscript. This work is supposed by the award of the ongoing best PhD thesis support from the University of Electronic Science and Technology of China as well as the Chinese Universities Scientific Fund (Grant No. 2010QNA5031).

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Correspondence to Daqing Guo.

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Guo, D. Inhibition of rhythmic spiking by colored noise in neural systems. Cogn Neurodyn 5, 293–300 (2011). https://doi.org/10.1007/s11571-011-9160-2

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  • DOI: https://doi.org/10.1007/s11571-011-9160-2

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