Stefano Bargione

PhD Student

s.bargione@campus.unimib.it

Biography

Stefano Bargione is a Ph.D. student in the National Ph.D. in AI, Health and Life Sciences track.

He has a BSc in Psychological Sciences and Techniques from LUMSA University and an M.Sc. in Applied Experimental Psychological Sciences from the University of Milano-Bicocca.

Stefano has experience in research internships and aims to master AI techniques for designing computational brain and behavior models.

His research interests include computational modeling approaches and cutting-edge technologies (e.g., VR, AR, XR) for designing customized computer-simulated scenarios based on subject-specific responses to multisensory experiences.

Profiles

Pubmed

Scopus

Google Scholar

Last 5 articles (Scopus)

Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models; Computers in Biology and Medicine; August 2024; DOI: 10.1016/j.compbiomed.2024.108701

Linking Brain Signals to Visual Concepts: CLIP based knowledge transfer for EEG Decoding and visual stimuli reconstruction; 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023; 2023; DOI: 10.1109/IEEECONF58974.2023.10404307

Last 5 articles (PubMed)

Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models
on 20 June 2024
Decoding visual representations from human brain activity has emerged as a thriving research domain, particularly in the context of brain-computer interfaces. Our study presents an innovative method that employs knowledge distillation to train an EEG classifier and reconstruct images from the ImageNet and THINGS-EEG 2 datasets using only electroencephalography (EEG) data from participants who have viewed the images themselves (i.e. "brain decoding"). We analyzed EEG recordings from 6...