11 citations · 49 across the 8 of their papers we have counts for
3 papers · 1 filter
Inhibition enhances the coherence in the Jacobi neuronal model
Giuseppe D'Onofrio, Petr Lansky, Massimiliano Tamborrino
The output signal is examined for the Jacobi neuronal model which is characterized by input-dependent multiplicative noise. The dependence of the noise on the rate of inhibition tu…
The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model
Petr Lansky, Laura Sacerdote, Cristina Zucca
Statistical properties of spike trains as well as other neurophysiological data suggest a number of mathematical models of neurons. These models range from entirely descriptive one…
Information transfer with small-amplitude signals
Lubomir Kostal, Petr Lansky
We study the optimality conditions of information transfer in systems with memory in the low signal-to-noise ratio regime of vanishing input amplitude. We find that the optimal mut…