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  • Open Access

Optimal coupling in noisy feed forward leaky integrate and fire network

BMC Neuroscience200910 (Suppl 1) :P302

https://doi.org/10.1186/1471-2202-10-S1-P302

  • Published:

Keywords

  • Animal Model
  • Output Signal
  • Coupling Strength
  • Minor Role
  • Network Size
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.
Figure 1
Figure 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.

Declarations

Acknowledgements

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

Authors’ 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

References

  1. Shimokawa T, Rogel A, Pakdaman K, Sato S: Stochastic resonance and spike-timing precision in an ensemble of leaky integrate and fire neuron models. Phys Rev E. 1999, 59: 3461-3470. 10.1103/PhysRevE.59.3461.View ArticleGoogle Scholar
  2. Zhangcai L, Youguo Q: Stochastic resonance driven by time-modulated neurotransmitter random point trains. Phys Rev Lett. 2003, 91: 208103-10.1103/PhysRevLett.91.208103.PubMedView ArticleGoogle Scholar

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