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 …

Theta-nested gamma oscillations have been reported in many areas of the brain and are
believed to represent a fundamental mechanism to transfer information across spatial and …

Chimera states are particular trajectories in systems of phase oscillators with nonlocal
coupling that display a spatiotemporal pattern of coherent and incoherent motion. We …

Spike-frequency adaptation (SFA) is a fundamental neuronal mechanism taking into account
the fatigue due to spike emissions and the consequent reduction of the firing activity. We …

We report the phenomenon of self-organized emergence of hierarchical multilayered
structures and chimera states in dynamical networks with adaptive couplings. This process …

We study the dynamics of two symmetrically coupled populations of identical leaky integrate-
and-fire neurons characterized by an excitatory coupling. Upon varying the coupling …

We present a detailed analysis of the dynamical regimes observed in a balanced network of
identical quadratic integrate-and-fire neurons with sparse connectivity for homogeneous and …

Neurons in a network can be both active or inactive. Given a subset of neurons in a network,
is it possible for the subset of neurons to evolve to form an active oscillator by applying some …

The counterintuitive phenomenon of coherence resonance describes a nonmonotonic
behavior of the regularity of noise-induced oscillations in the excitable regime, leading to an …

Recent experimental and theoretical studies have highlighted the importance of cell-to-cell
differences in the dynamics and functions of neural networks, such as in different types of …