Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization. - Tommaso Boccato; Alberto Testolin; Marco Zorzi (Entropy, 2021)

Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer. - Marianna Inglese; Andrea Duggento; Tommaso Boccato; Matteo Ferrante; Nicola Toschi (EMBC, 2022)

BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks. - Matteo Ferrante; Tommaso Boccato; Nicola Toschi (CoRR, 2022)

Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli. - Matteo Ferrante; Tommaso Boccato; Nicola Toschi (CoRR, 2022)

Contrastive learning for unsupervised medical image clustering and reconstruction. - Matteo Ferrante; Tommaso Boccato; Andrea Duggento; Simeon E. Spasov; Nicola Toschi (NLDL, 2023)

Breaking the Structure of Multilayer Perceptrons with Complex Topologies. - Tommaso Boccato; Matteo Ferrante; Andrea Duggento; Nicola Toschi (TAG-ML, 2023)

Multimodal decoding of human brain activity into images and text. - Matteo Ferrante; Tommaso Boccato; Furkan Ozcelik; Rufin VanRullen; Nicola Toschi (UniReps, 2023)

Brain Captioning: Decoding human brain activity into images and text. - Matteo Ferrante; Furkan Ozcelik; Tommaso Boccato; Rufin VanRullen; Nicola Toschi (CoRR, 2023)

Through their eyes: multi-subject Brain Decoding with simple alignment techniques. - Matteo Ferrante; Tommaso Boccato; Nicola Toschi (CoRR, 2023)

VAESim: A probabilistic approach for self-supervised prototype discovery. - Matteo Ferrante; Tommaso Boccato; Simeon E. Spasov; Andrea Duggento; Nicola Toschi (Image Vis. Comput., 2023)

Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models. - Matteo Ferrante; Tommaso Boccato; Stefano Bargione; Nicola Toschi (Comput. Biol. Medicine, 2024)

Optimizing Genetically-Driven Synaptogenesis. - Tommaso Boccato; Matteo Ferrante; Nicola Toschi (CoRR, 2024)

Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification. - Matteo Ferrante; Tommaso Boccato; Nicola Toschi (Frontiers Neuroinformatics, 2024)

Beyond multilayer perceptrons: Investigating complex topologies in neural networks. - Tommaso Boccato; Matteo Ferrante; Andrea Duggento; Nicola Toschi (Neural Networks, 2024)

4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs. - Tommaso Boccato; Matteo Ferrante; Andrea Duggento; Nicola Toschi (Neurocomputing, 2024)

Genetic Motifs as a Blueprint for Mismatch-Tolerant Neuromorphic Computing. - Tommaso Boccato; Dmitrii Zendrikov; Nicola Toschi; Giacomo Indiveri (ISCAS, 2025)

Training Neural Networks by Optimizing Neuron Positions. - Laura Erb; Tommaso Boccato; Alexandru Vasilache; Jürgen Becker 001; Nicola Toschi (CoRR, 2025)

Towards neural foundation models for vision: Aligning EEG, MEG, and fMRI representations for decoding, encoding, and modality conversion. - Matteo Ferrante; Tommaso Boccato; Grigorii Rashkov; Nicola Toschi (Inf. Fusion, 2026)