Techniques: Computational modelling in NEURON-Python environmentReaserch
Research field: Realistic computational reconstruction of the cerebellar granular layer network
Martina Rizza holds a Phd in Computer Science (University of Milano-Bicocca), a Master’s degree in Neurobiology (University of Pavia) and a Bachelor’s degree in Biotechnology (University of Milano-Bicocca).
She is currently a post-doc research fellow in the Neurocomputational Laboratory, Department of Brain and Behavioral Sciences, University of Pavia.
Computational neuroscience: realistic computational model of cerebellar neurons, parameter estimation of neuron models, reconstruction of the cerebellar microcircuit.
Computational modeling and simulation with NEURON-Python, knowledge of NEURON simulation tool, Python programming language and MATLAB simulation environment.
Elisa Marenzi obtained the Ph.D. in Bioengineering and Bioinformatics from the University of Pavia in 2014. In February 2012 she won second place in the Best Student Paper contest of the IEEE Sensors Applications Symposium. In June 2012, she obtained third place in an academic competition promoted by the Pavia section of Confindustria (National Association of Manufacturing and Service Companies) and she won a national contest on social innovation and technology, the Lifebility Award – Bioengineering and Biotechnology section, promoted by Lion Club. In 2014 she obtained an award for her PhD thesis from the Rotary and the National Association for Automatic Computing (AICA). As post-doc fellow in the Custom Computing and Programmable Systems Laboratory at the University of Pavia, she worked in the fields of GPU parallel computing and the design and development of embedded systems. She is currently a post-doc research fellow in the Neurocomputational Laboratory, Department of Brain and Behavioral Sciences, at the University of Pavia. Her research interest concerns computational modeling of microcircuits of the cerebellum at different levels of detail using Python programming language and different simulators, mainly NEST and NEURON, as part of the EU FET Flagship project “The Human Brain Project”.
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
Giuseppe holds a degree in Biology (University of Palermo) and a specialization in Biomedical Sciences (University of Pavia) and a PhD in Biomedical Sciences (University of Pavia).
Research field: Investigating the neurovascular coupling at the cerebellar granular layer using electrophysiological and imaging techniques.