Title of the Project
“Modellizzazione multimodale dell’attività cerebrale e studio della risposta a stimolazioni” (in English: “Multimodal modeling of brain activity and study of the response to stimulation”), Research Supervisor Dr. Michele Allegra
Purpose of the Research Grant
The purpose of this Research Grant, which is funded by the European Union – NextGenerationEU – through MUR PNRR fundings in the framework of the project MNESYS “A multiscale integrated approach to the study of the nervous system in health and disease” – PE00000006, Missione 4 “Istruzione e ricerca”, Componente 2 “Dalla ricerca all’impresa”, Investimento 1.3 “Creazione di Partenariati Estesi alle università, centri di ricerca, alle aziende per il finanziamento di progetti di ricerca di base”, M4C2 Spoke 2, CUP: B83C22004960002, is to grant research into:
The global aim of the research fellowship is pairing whole-brain models of neural activity, trained on multimodal data, with control and perturbation theory techniques, to determine the effect of electromagnetic stimuli on brain activity, and identify the optimal stimulation loci to obtain desired effects.
Activity: The research fellow will investigate the possibility of using whole-brain models, trained on multimodal data acquired at rest, to predict the effect of electromagnetic stimulations on neuronal activity: (i) starting from the model and exploiting numerical simulations and/or perturbation theory techniques, the research fellow will develop quantitative predictions about the local and remote effect of stimulations; (ii) the predictions will be compared with the results actually measured in subjects subjected to stimulation; (iii) using control theory techniques, the research fellow will determine the optimal stimulation points to excite/inhibit the activity of specific cortical/subcortical areas and networks.
Profile: The ideal candidate should have: (a) experience in modeling brain activity; (b) experience in using models to predict the effect of perturbations; (c) advanced programming skills in Python/Matlab.
Deadline for submitting applications
13 September 2024 at 1:00 pm CEST