Seminar by Alberto Sorrentino @ MaLGa 7th February 15:00
This MaLGa Seminar is part of the Ellis Genoa activities
![Alberto_Sorrentino_ur6ltd - [Capispalla Braccio Barba]](https://res.cloudinary.com/dmzkvsfdw/image/upload/h_400,ar_16:9,c_fill,q_auto,f_auto/media_production/Alberto_Sorrentino_ur6ltd_kvfl54)
We are pleased to announce the next MaLGa Seminar Series - Analysis and Learning.
This event is part of the Ellis Genoa activities.
Speaker: Alberto Sorrentino
Affiliation: Università degli Studi di Genova, CEO of Bayesian Estimation for Engineering Solutions
Date: Monday, February 07th, 2022
Time: 15:00 p.m.
Location: room 705, via Dodecaneso 35, Genova, IT
Live streaming will be available at https://www.youtube.com/channel/UCU8upIJcI-BFUdFeYUwjJfg/featured
Title: Brain imaging with magneto/electro-encephalography: from source localization to connectivity estimation
Abstract: Electroencephalography and Magnetoencephalography (EEG/MEG) are two powerful techniques recording signals from the brain at a one-millisecond resolution. EEG/MEG data are very rich in information and are currently used in many contexts, ranging from basic neuroscience to clinical applications. In this talk I will consider two intertwined problems related to the analysis of EEG/MEG data: (1) the source localization problem, amounting to estimating the neural currents underlying recorded time series; (2) the connectivity estimation problem, amounting to characterizing the interactions between spatially distinct areas.
Bio: Alberto Sorrentino is Associate Professor of Numerical Analysis at the Mathematics Department (DIMA) of the University of Genoa, Italy, and CEO of Bayesian Estimation for Engineering Solutions, a startup recently founded as a University spinoff. His research is focused on the development of Bayesian approaches and Monte Carlo methods, with application in neuroimaging and air quality monitoring.
Bio: Alberto Sorrentino is Associate Professor of Numerical Analysis at the Mathematics Department (DIMA) of the University of Genoa, Italy, and CEO of Bayesian Estimation for Engineering Solutions, a startup recently founded as a University spinoff. His research is focused on the development of Bayesian approaches and Monte Carlo methods, with application in neuroimaging and air quality monitoring.