We build multiscale modelling, spanning from neurons and microcircuits to large-scale networks and the whole brain. Atlas-based information is used to reconstruct brain circuits, in rodents and humans, and to cosimulate multiple brain regions in whole-brain scaffolds. Multicompartment morphology-based and single-point neuron models, and synaptic plasticity models are developed and used in the networks. We develop andmaintain ad-hoc neuroinformatic frameworks.
We especially focus on cerebellar regions, in physiological or pathological conditions. These adaptive neural models are also embodied in closed-loop systems to shed light on neural correlates of behavior.
Overall, this approach contributes to brain-inspired technologies and treatments for brain diseases.