In vitro neuronal models have become an important tool to study healthy and diseased
neuronal circuits. The growing interest of neuroscientists to explore the dynamics of …

Epilepsy is a neurological condition characterised by the recurrence of seizures. During
seizures multiple brain areas can behave abnormally. Rather than considering each …

Large amounts of multimodal neuroimaging data are acquired every year worldwide. In
order to extract high-dimensional information for computational neuroscience applications …

Alzheimer's disease (AD) is marked by cognitive dysfunction emerging from
neuropathological processes impacting brain function. AD affects brain dynamics at the local …

Here we present the Digital Brain (DB)—a platform for simulating spiking neuronal networks
at the large neuron scale of the human brain on the basis of personalized magnetic …

While human brains are specialized for complex and variable real world tasks, most
neuroscience studies reduce environmental complexity, which limits the range of behaviours …

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 …

Noise driven exploration of a brain network's dynamic repertoire has been hypothesized to
be causally involved in cognitive function, aging and neurodegeneration. The dynamic …

We simulate the human brain at the scale of up to 86 billion neurons, ie, digital twin brain
(DTB), which mimics certain aspects of its biological counterpart both in the resting state and …

There currently remains considerable variability in stroke survivor recovery. To address this,
developing individualized treatment has become an important goal in stroke treatment. As a …