Addressing the multiscale organization of the brain, which is fundamental to the dynamic
repertoire of the organ, remains challenging. In principle, it should be possible to model …

Decades of neurobiological research have disclosed the diverse manners in which the
response properties of neurons are dynamically modulated to support adaptive cognitive …

Hallmarks of neural dynamics during healthy human brain states span spatial scales from
neuromodulators acting on microscopic ion channels to macroscopic changes in …

Mean-field (MF) models are computational formalism used to summarize in a few statistical
parameters the salient biophysical properties of an inter-wired neuronal network. Their …

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 …

Epilepsy is a complex disease that requires various approaches for its study. This short
review discusses the contribution of theoretical and computational models. The review …

Modeling the dynamics of neural masses is a common approach in the study of neural
populations. Various models have been proven useful to describe a plenitude of empirical …

To simulate whole brain dynamics with only a few equations, biophysical, mesoscopic
models of local neuron populations can be connected using empirical tractography data …

Neural mass models (NMMs) are designed to reproduce the collective dynamics of neuronal
populations. A common framework for NMMs assumes heuristically that the output firing rate …

Epilepsies are characterized by paroxysmal electrophysiological events and seizures, which
can propagate across the brain. One of the main unsolved questions in epilepsy is how …