Stefano Bargione

Dottorando

s.bargione@campus.unimib.it

Biografia

Stefano Bargione è uno studente di dottorato nel National Ph.D. in AI, Health and Life Sciences.

Ha conseguito una laurea in Scienze e tecniche psicologiche presso l’Università LUMSA e un master in Scienze psicologiche sperimentali applicate presso l’Università di Milano-Bicocca.

Stefano ha esperienza di stage di ricerca e mira a padroneggiare le tecniche di AI per la progettazione di modelli computazionali del cervello e del comportamento.

I suoi interessi di ricerca includono approcci di modellazione computazionale e tecnologie all’avanguardia (ad esempio, VR, AR, XR) per la progettazione di scenari personalizzati simulati al computer basati sulle risposte specifiche dei soggetti alle esperienze multisensoriali.

Profili

Pubmed

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Scopus

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Ultimi 5 articoli (Scopus)

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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
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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
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Ultimi 5 articoli (PubMed)

  • Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models
    on 20 Giugno 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...

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