At our lab you can apply for 3 different reserach areas
NEUROPHYSIOLOGY LABORATORY
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.
- 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
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.
- 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
PIs: Claudia Gandini, Fulvia Palesi, Egidio D’Angelo
Research group: Anita Monteverdi, Doris Pischedda, Roberta Lorenzi, Marta Gaviraghi, Eleonora Lupi, Gokce Korkmaz, Elena Grosso
- 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