activity
20022023
most citedAdsorption-desorption noise can be used for improving selectivity

26 citations · 117 across the 23 of their papers we have counts for

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18 papers · 1 filter

q-bio.NC2022★ 1 cited

From chaos to clock in reverberating neural net. Case study

A. Vidybida, O. Shchur

What is the reason for complex dynamical patterns registered from real biological neuronal networks? Noise and dynamical reconfiguring of a network (functional/dynamic connectome)…

q-bio.NC2021

Distribution of interspike intervals of a neuron with inhibitory autapse stimulated with a renewal process

Olha Shchur, Alexander Vidybida

In this paper, we study analytically the impact of an inhibitory autapse on neuronal activity. In order to do this, we formulate conditions on a set of non-adaptive spiking neuron…

q-bio.NC2019★ 2 cited

Stochastic mechanism for improving selectivity of olfactory projection neurons

Alexander Vidybida

A mechanism is proposed for increasing selectivity of olfactory bulb projection neurons as compared to the olfactory receptor neurons, which could operate under low odor concentrat…

q-bio.NC2019

Trade-off between sensitivity and selectivity in olfactory receptor neuron

Alexander Vidybida

It was observed before that due to convergence in the olfactory system a possible amplification can be as large as the degree of convergence. This is in the case when a single impu…

q-bio.NC2018★ 4 cited

First passage time distribution for spiking neuron with delayed excitatory feedback

Olha Shchur, Alexander Vidybida

A class of spiking neuronal models with threshold 2 is considered. It is defined by a set of conditions typical for basic threshold-type models, such as the leaky integrate-and-fir…

q-bio.NC2017★ 7 cited

Relation between firing statistics of spiking neuron with delayed fast inhibitory feedback and without feedback

Alexander Vidybida, Olha Shchur

We consider a class of spiking neuronal models, defined by a set of conditions typical for basic threshold-type models, such as the leaky integrate-and-fire or the binding neuron m…