The simultaneous recording and analysis of electroencephalography (EEG) and fMRI data
in human systems, cognitive and clinical neurosciences is rapidly evolving and has received …

Neural network models are potential tools for improving our understanding of complex brain
functions. To address this goal, these models need to be neurobiologically realistic …

We present The Virtual Brain (TVB), a neuroinformatics platform for full brain network
simulations using biologically realistic connectivity. This simulation environment enables the …

In this article, we describe the mathematical framework of the computational model at the
core of the tool The Virtual Brain (TVB), designed to simulate collective whole brain …

We reviewed computer models that have been developed to reproduce and explain
epileptiform activity. Unlike other already-published reviews on computer models of …

Cortical activity has distinct features across scales, from the spiking statistics of individual
cells to global resting-state networks. We here describe the first full-density multi-area …

Recent efforts to model human brain activity on the scale of the whole brain rest on
connectivity estimates of large-scale networks derived from diffusion magnetic resonance …

Alzheimer's disease (AD) appears to be a uniquely human condition, which is possibly
attributable to our expanded longevity and peculiar capacity for episodic memory. Due to a …

The occurrence of seizures is the common feature across the spectrum of epileptic
disorders. We describe how the use of mechanistic neural population models leads to novel …

In systems neuroscience, the term “connectivity” has been defined in numerous ways,
according to the particular empirical modality from which it is derived. Due to large …