The paper is devoted to the review of the coherence resonance phenomenon in excitable
neural networks. In particular, we explain how coherence can be measured and how noise …

We present a novel modular, scalable and adaptable modelling framework to accurately
model neuronal networks composed of neurons with different dynamic properties and …

The signal detection ability of nervous system is highly associated with nonlinear and
collective behaviors in neuronal medium. Neuronal noise, which occurs as natural …

We investigated the effects of noise on periodic firing in the Hodgkin-Huxley nonlinear
system. With mean input current μ as a bifurcation parameter, a bifurcation to repetitive …

The effects of noise on neuronal dynamical systems are of much current interest. Here, we
investigate noise-induced changes in the rhythmic firing activity of single Hodgkin–Huxley …

Inverse stochastic resonance (ISR) is a recently pronounced phenomenon that is the
minimum occurrence in mean firing rate of a rhythmically firing neuron as noise level varies …

Noise can have beneficial effects as shown by the stochastic resonance (SR) phenomenon
which is characterized by performance improvement when an optimal noise is added …

We systematically investigate the stochastic dynamics of a single Hodgkin–Huxley neuron
driven by stochastic excitatory and inhibitory input spikes via unreliable synapses in this …

We study the probabilistic behavior of the Hodgkin–Huxley neuron model in the presence of
random forcing of the external current parameter. The stochastic excitement in the zone of …

We consider the response of the classical Hodgkin–Huxley (HH) spatial system in the weak
to intermediate noise regime near the bifurcation to repetitive spiking. The deterministic …