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PhD school in Biomedical Sciences
NEUROPHYSIOLOGY LABORATORY
Neuronal mechanisms of synaptic plasticity and learning rules
Microcircuit functioning investigated with high-density multielectrode arrays and two-photon calcium imaging ex vivo, to address network dynamics and plasticity
Neuron activity in vivo using microelectrode arrays and optogenetics
Neuron activity during motor learning and control in vivo using microendoscopic calcium imaging
Multilevel characterization of CNS activity alterations in disease models
NEUROCOMPUTATION LABORATORY
Single neuron modelling and simulation
Computational modelling of neurons and circuits of the rodent and human brain
Computational models of cerebellar dysfunctions in pathology (ataxia, dystonia, paroxysmal dyskinesia, autism, schizophrenia)
Cerebellar networks in hybrid virtual brain models
The computational basis of learning in the cerebellar circuit
Closed-loop robotic controllers for motor learning and coordination: predictive brain circuits
NEUROIMAGING AND BRAIN MODELLING LABORATORY
Neuroimaging and electrophysiological recording for multimodal virtual brain models
Neuroimaging analysis and virtual brain modelling of the human and rodent brain
Mean field models of the cerebellar network for specific pathological states (ataxia, dystonia, paroxysmal dyskinesia, autism, schizophrenia)
Digital Brain Twins of patients to predict the evolution of pathology (dementia, ataxia, schizophrenia, Parkinson
Bayesian modelling to predict functional causality in motor and cognitive tasks.
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Human outperform mouse Purkinje cells in dendritic complexity and computational capacity
hpurk 2023
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