Individuals with drug-resistant focal epilepsy are candidates for surgical treatment as a
curative option. Before surgery can take place, the patient must have a presurgical …

Progress in dementia research has been limited, with substantial gaps in our knowledge of
targets for prevention, mechanisms for disease progression, and disease-modifying …

To better understand how network structure shapes intelligent behavior, we developed a
learning algorithm that we used to build personalized brain network models for 650 Human …

Elucidating the intricate neural mechanisms underlying brain functions requires integrative
brain dynamics modeling. To facilitate this process, it is crucial to develop a general-purpose …

Data-driven computational models of neurons, synapses, microcircuits, and mesocircuits
have become essential tools in modern brain research. The goal of these multiscale models …

Summary The Computational Theory of Mind says that the mind is a computing system. It
has a long history going back to the idea that thought is a kind of computation. Its modern …

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

Disorders of consciousness are complex conditions characterised by persistent loss of
responsiveness due to brain injury. They present diagnostic challenges and limited options …

The cerebellum operates exploiting a complex modular organization and a unified
computational algorithm adapted to different behavioral contexts. Recent observations …

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 …