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    Tommaso Boccato

    PhD Student

    Email

    tommaso.boccato@studenti.unipd.it

    Biography

    Tommaso Boccato is a student in the Italian National Ph.D. Program in Artificial Intelligence at the Tor Vergata Medical Physics Section.

    He holds a bachelor’s degree in Information Engineering and a master’s degree in ICT, both from the University of Padova.

    His interests include neural networks, deep learning, network science, and computer vision.

    Tommaso’s current research focuses on neuromorphic architectures and generative therapeutic “telepathy.”

    Profiles

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    Scopus

    Pubmed

    Orcid

    Google Scholar

    Gomp

    Teaching

    A. Y. 2024 - 2025
    A. Y. 2023 - 2024

    Last 5 articles (Scopus)

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    Towards neural foundation models for vision: Aligning EEG, MEG, and fMRI representations for decoding, encoding, and modality conversion; Information Fusion; February 2026; DOI: 10.1016/j.inffus.2025.103650
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    Training Neural Networks by Optimizing Neuron Positions; Lecture Notes in Computer Science; 2026; DOI: 10.1007/978-3-032-07448-5_23
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    Evidence for compositionality in fMRI visual representations via Brain Algebra; Communications Biology; December 2025; DOI: 10.1038/s42003-025-08706-4
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    Genetic Motifs as a Blueprint for Mismatch-Tolerant Neuromorphic Computing; Proceedings IEEE International Symposium on Circuits and Systems; 2025; DOI: 10.1109/ISCAS56072.2025.11043755
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    Genotype Characterization in Primary Brain Gliomas via Unsupervised Clustering of Dynamic PET Imaging of Short-Chain Fatty Acid Metabolism; IEEE Transactions on Radiation and Plasma Medical Sciences; 2025; DOI: 10.1109/TRPMS.2024.3514087
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    Last 5 articles (PubMed)

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