Optimizing the energy consumption of spiking neural networks for neuromorphic applications. - Martino Sorbaro 001; Qian Liu; Massimo Bortone; Sadique Sheik (CoRR, 2019)

Statistical modelling of neuronal population activity: from data analysis to network function. - Martino Sorbaro Sindaci (2019)

Optimal Encoding in Stochastic Latent-Variable Models. - Michael Everett Rule; Martino Sorbaro 001; Matthias H. Hennig (Entropy, 2020)

Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision. - Julian Büchel; Gregor Lenz; Yalun Hu; Sadique Sheik; Martino Sorbaro 001 (CoRR, 2021)

carpentries/instructor-training: The Carpentries Instructor Training Februrary 2023. - Sarah M. Brown; Karen Word; Maneesha Sane; Kelly Barnes; Nathaniel Porter; Philipp Matthias Schaefer; Aleksandra Nenadic; Toby Hodges; Giordano Lipari; Andrzej Aleksander Romaniuk; Martino Sorbaro Sindaci; Aman Goel; et al. (Zenodo, 2023)

Bio-inspired, task-free continual learning through activity regularization. - Francesco Lässig; Pau Vilimelis Aceituno; Martino Sorbaro 001; Benjamin F. Grewe (Biol. Cybern., 2023)

Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. - Ravi Francesco Srinivasan; Francesca Mignacco; Martino Sorbaro 001; Maria Refinetti; Avi Cooper; Gabriel Kreiman; Giorgia Dellaferrera (ICLR, 2024)