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This article is part of the supplement: Eighteenth Annual Computational Neuroscience Meeting: CNS*2009

Open Access Poster presentation

Optimal coupling in noisy feed forward leaky integrate and fire network

László Zalányi1*, Zoltán Somogyvári2 and Péter Érdi12

Author Affiliations

1 Department of Biophysics, KFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of Sciences, Budapest, Hungary

2 Center for Complex Systems Studies, Kalamazoo College, Kalamazoo, MI, USA

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BMC Neuroscience 2009, 10(Suppl 1):P302  doi:10.1186/1471-2202-10-S1-P302


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/10/S1/P302


Published:13 July 2009

© 2009 Zalányi et al; licensee BioMed Central Ltd.

Poster presentation

We study the stochastic resonance (SR) phenomenon in feed-forward networks of leaky integrate and fire (LIF) neurons. It is shown for various input frequencies, amplitudes and network sizes that the appropriate coupling strength can improve the output signal to noise ratio (SNR). We demonstrate that the value of the optimal coupling strength in the content of SR depends primarily on the absolute refractory period. Other circumstances, signal frequency, amplitude and network size play minor role to determine this value (see Figure 1), consequently it is possible to optimally pretune the system. The optimal coupling strength jumps to discrete values as the noise increases and we discuss the background of this phenomenon.

thumbnailFigure 1. Optimal coupling strength as the function of noise intensity with different absolute refractory period. Dotted lines help the comparison of the first optimal coupling values.

Acknowledgements

This study was supported by the grant EU FP6 Programme IST-4-027819-IP.

References

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  2. Zhangcai L, Youguo Q: Stochastic resonance driven by time-modulated neurotransmitter random point trains.

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