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 …

Due to the diversity in excitability and some intrinsic parameters, these neurons present
different firing patterns and energy diversity becomes distinct. As a result, flexible synapses …

We focus on the emergence of extreme events in a collection of aperiodic neuronal maps,
under local diffusive coupling, as well as global mean-field coupling. Our central finding is …

We investigate the transition to synchronization in a two-layer network of oscillators with time-
switching inter-layer links. We focus on the role of the number of inter-layer links and the …

We show how multiplexing influences propagating fronts in multilayer networks of coupled
bistable oscillators. Using numerical simulation, we investigate both deterministic and noise …

Stochastic resonance is a well-known phenomenon that intermediate amount of noise can
enhance the signal-to-noise ratio of systems subjected to weak signals. Since the discovery …

Recently, the stabilization of chaos by chaos has attracted the attention of researchers. A
small deviation between the natural frequencies of unidirectionally coupled chaotic …

Event-related synchronization and desynchronization (ERS/ERD) are well-known features
found experimentally in brain signals during cognitive tasks. Their understanding promises …

Noise is ubiquitous in various systems. In systems with multiple timescales, noise can
induce various coherent behaviors. Self-induced stochastic resonance (SISR) is a typical …

Noise is ubiquitous and has been verified to play constructive roles in various systems,
among which the inverse stochastic resonance (ISR) has aroused much attention in contrast …