Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and
technology. For example, adaptive couplings appear in various real-world systems, such as …

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 a detailed analysis on the emergence of bursting in a recently developed neural
mass model that includes short-term synaptic plasticity. Neural mass models can mimic the …

Bottom-up models of functionally relevant patterns of neural activity provide an explicit link
between neuronal dynamics and computation. A prime example of functional activity …

Networks of spiking neurons with adaption have been shown to be able to reproduce a wide
range of neural activities, including the emergent population bursting and spike synchrony …

Mean-field theory links the physiological properties of individual neurons to the emergent
dynamics of neural population activity. These models provide an essential tool for studying …

Understanding the effect of spike-timing-dependent plasticity (STDP) is key to elucidating
how neural networks change over long timescales and to design interventions aimed at …

Pulse-coupled spiking neural networks are a powerful tool to gain mechanistic insights into
how neurons self-organize to produce coherent collective behavior. These networks use …

A method for controlling the coupling strength is proposed for pulsed coupled active
chemical micro-cells. The method is consistent with Hebb's rules. The effect of various …

A network of four excitable cells with the Belousov–Zhabotinsky (BZ) reaction is considered
both theoretically and experimentally. All cells are coupled by pulses with time delays τnj …