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 …

The cerebellum is emerging as a powerful regulator of cognitive and affective processing
and memory in both humans and animals and has been implicated in affective disorders …

With the development of technology, Moore's law will come to an end, and scientists are
trying to find a new way out in brain-like computing. But we still know very little about how …

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 …

The cerebellar network is renowned for its regular architecture that has inspired foundational
computational theories. However, the relationship between circuit structure, function and …

Dystonia is a movement disorder characterized by sustained or intermittent muscle
contractions causing abnormal, often repetitive movements, postures, or both. Although …

This work presents the first simulation of a large-scale, bio-physically constrained
cerebellum model performed on neuromorphic hardware. A model containing 97,000 …

Full-scale morphologically and biophysically realistic model networks, aiming at modeling
multiple brain areas, provide an invaluable tool to make significant scientific advances from …

Sensorimotor signals are integrated and processed by the cerebellar circuit to predict
accurate control of actions. In order to investigate how single neuron dynamics and …

It is common for animals to use self-generated movements to actively sense the surrounding
environment. For instance, rodents rhythmically move their whiskers to explore the space …