PhD school in Biomedical Sciences

PIs: Francesca Prestori, Lisa Mapelli, Egidio D’Angelo

Research group: Pawan Faris, Eleonora Pali, Francesco Mainardi, Maria Conforti, Yuhe Li, Camilla Ciapponi, Danila Di Domenico, Giorgia Pellavio, Qianwen Zhang.

PIs: Claudia Casellato, Egidio D’Angelo

Research group: Danilo Benozzo, Stefano Masoli, Martina Rizza, Dimitri Rodarie, Alberto Vergani, Abdul Butt, Marialaura Degrazia, Francesco Pio Ercolino, Emiliano Buttarazzi.

PIs: Claudia Gandini, Fulvia Palesi, Egidio D’Angelo

Research group: Anita Monteverdi, Doris Pischedda, Roberta Lorenzi, Marta Gaviraghi, Eleonora Lupi, Gokce Korkmaz, Elena Grosso

• 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

• 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 analysis and virtual brain modelling of the human and rodent brain
• Neuroimaging and electrophysiological recording for multimodal virtual brain models
• 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