Obiettivo Functional neuro-imaging is a lively field in contemporary science, with a large number of open research problems and many clinical applications including the non-invasive diagnosis and monitoring of brain conditions such as epilepsy, Alzheimer, Parkinson’s, and brain cancer. In this context, Magnetoencephalography is characterized by an outstanding temporal resolution, and is currently the best available technique for investigating the activity of different brain regions on a millisecond time scale. However, a key open problem for MEG data analysis is the lack of a robust framework for automatic source detection and parameter estimation using MEG data; these are in fact routinely analyzed using labour-intensive manual methods heavily relying on the expertise of the user. The NIMBLE project (Neuromagnetic Imaging: Multiobject Bayesian Localisation and Estimation) aims at developing novel Bayesian methodology for automatic source estimation from MEG data, based on stochastic geometry and point processes. The project is consistent with the research profile of the candidate, who has developed a significant experience with MEG and has obtained preliminary results on estimating MEG sources with Bayesian filtering. The Host Institution was selected by the Fellow in light of its rich research environment in neuroscience including, among others, a world-renowned expert in stochastic geometry and several young researchers with expertise in statistical modeling for neuroimaging, Bayesian inference and sequential Monte Carlo methods for Bayesian filtering. The NIMBLE project is highly multidisciplinary, involving the statistics of point processes, the modeling of neural sources and the efficient implementation of high-dimensional sequential Monte Carlo filters. Should the NIMBLE project be funded, it would contribute to strengthen the EU position in the strategic field of neuroimaging, where competition is currently strong with the United States and Japan. Campo scientifico natural sciencesbiological sciencesneurobiologynatural sciencescomputer and information sciencesdata sciencenatural sciencesmathematicsapplied mathematicsstatistics and probabilitybayesian statisticsnatural sciencescomputer and information sciencescomputational sciencenatural sciencesmathematicspure mathematicsgeometry Programma(i) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Argomento(i) FP7-PEOPLE-2009-IEF - Marie Curie Action: "Intra-European Fellowships for Career Development" Invito a presentare proposte FP7-PEOPLE-2009-IEF Vedi altri progetti per questo bando Meccanismo di finanziamento MC-IEF - Intra-European Fellowships (IEF) Coordinatore THE UNIVERSITY OF WARWICK Contributo UE € 173 403,20 Indirizzo Kirby Corner Road - University House CV4 8UW Coventry Regno Unito Mostra sulla mappa Regione West Midlands (England) West Midlands Coventry Tipo di attività Higher or Secondary Education Establishments Contatto amministrativo Peter Hedges (Dr.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato
