Techniques: Computational modelling in NEURON-Python environmentReaserch
Research field: Realistic computational reconstruction of the cerebellar granular layer network
Stefano Masoli holds a degree in cellular biology (1996 regulation – 5 years), a degree in neurobiology (new regulation – 2 years) and a PhD in Biomedical Sciences. The scientific interest is the development of realistic computational models, with the main focus on the reconstruction of the Purkinje cell, one of the most complex neuron of the Central Neurvous System. The techniques used are the programming language Python and the simulator NEURON.Currently is working with the Human Brain Project (HBP) in the optimization, with genetic algorithm, of the Purkinje cell model to be used in the future complete cerebellar network.
Techniques: in vitro patch-clamp cerebellar recordings.
Research field: Plasticity on cerebellar granular layer.”
Techniques: Whole cell patch-clamp recordings on rodent cerebellar slices and image analysis of vascular reactivity.
Research field: Synaptic Plasticity in cerebellar cortex in a new model of autism, the IB2 KO mouse. Neurovascular Coupling.
Techniques: Two-photon microscopy, calcium imaging, patch clamp
Research field: Long-term plasticity at the mossy fibers-granule cells synapses