Optimal coupling in noisy feed forward leaky integrate and fire network
BMC Neuroscience volume 10, Article number: P302 (2009)
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.
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.
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.
This study was supported by the grant EU FP6 Programme IST-4-027819-IP.
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Zalányi, L., Somogyvári, Z. & Érdi, P. Optimal coupling in noisy feed forward leaky integrate and fire network. BMC Neurosci 10 (Suppl 1), P302 (2009). https://doi.org/10.1186/1471-2202-10-S1-P302