Synchrony in neuronal networks is crucial for cognitive functions, motor coordination, and
various neurological disorders. While traditional research has focused on pairwise …

We study the phenomenon of stochastic resonance on Newman–Watts small-world
networks consisting of biophysically realistic Hodgkin–Huxley neurons with a tunable …

Inverse Stochastic Resonance (ISR) is a phenomenon in which the average spiking rate of a
neuron exhibits a minimum with respect to noise. ISR has been studied in individual …

We observe and study a self-organized phenomenon whereby the activity in a network of
spiking neurons spontaneously terminates. We consider different types of populations …

The effect of intrinsic channel noise is investigated for the dynamic response of a neuronal
cell with a delayed feedback loop. The loop is based on the so-called autapse phenomenon …

The influence of intrinsic channel noise on the spontaneous spiking activity of poisoned
excitable membrane patches is studied by use of a stochastic generalization of the Hodgkin …

We investigate the regularity of spontaneous spiking activity on Newman-Watts small-world
networks consisting of biophysically realistic Hodgkin-Huxley neurons with a tunable …

We study the stochastic dynamics of an ensemble of N globally coupled excitable elements.
Each element is modeled by a FitzHugh–Nagumo oscillator and is disturbed by independent …

We propose a method to control noise-induced motion, based on using delayed feedback in
the form of the difference between the delayed and the current states of the system. The …

Healthy brains display a wide range of firing patterns, from synchronized oscillations during
slow-wave sleep to desynchronized firing during movement. These physiological activities …