Noise appears in the brain due to various sources, such as ionic channel fluctuations and
synaptic events. They affect the activities of the brain and influence neuron action potentials …

Nonlinear oscillators have been used to model neurons that fire periodically in the absence
of input. These oscillators, which are called neuronal oscillators, share some common …

Previous experimental and theoretical studies suggest that first-spike latency is an efficient
information carrier and may contain more amounts of neural information than those of other …

Oscillations of the membrane potential are a prominent feature of several neurons in the
central and peripheral nervous system. Evidences exist that neurons combine intrinsic …

Noise-induced firing activity in the form of bursts of spikes is usually described by means of
excitable systems that combine deterministic subthreshold oscillations with noise. In this …

This work shows that noise can enhance the discharge time reliability in Hodgkin-Huxley
neuron models stimulated by weak periodic and aperiodic inputs. By expanding the Fokker …

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 …

Biological systems are notoriously noisy. Noise, therefore, also plays an important role in
many models of neural impulse generation. Noise is not only introduced for more realistic …

The reproducibility of neural spike train responses to an identical stimulus across different
presentations (trials) has been studied extensively. Reliability, the degree of reproducibility …

Motivated by an attractive biophysical problem related to revealing the underlying
mechanisms of complex oscillatory forms of neural activity, we study a three-dimensional …