Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning. - Cristiano Capone; Cosimo Lupo; Paolo Muratore; Pier Stanislao Paolucci (ICML, 2022)

Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks. - Paolo Muratore; Sina Tafazoli; Eugenio Piasini; Alessandro Laio; Davide Zoccolan (NeurIPS, 2022)

Error-based or target-based? A unified framework for learning in recurrent spiking networks. - Cristiano Capone; Paolo Muratore; Pier Stanislao Paolucci (PLoS Comput. Biol., 2022)

Synthesizing naturalistic visual textures with multiscale, nonlinear constraints using deep neural samplers. - Ludovica de Paolis; Paolo Muratore; Eugenio Piasini (DS (LB), 2024)

Learning fast changing slow in spiking neural networks. - Cristiano Capone; Paolo Muratore (CoRR, 2024)

Learning fast while changing slow in spiking neural networks. - Cristiano Capone; Paolo Muratore (Neuromorph. Comput. Eng., 2024)

Unraveling the complexity of rat object vision requires a full convolutional network and beyond. - Paolo Muratore; Alireza Alemi; Davide Zoccolan (Patterns, 2025)

Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance. - Lorenzo Tausani; Paolo Muratore; Morgan B. Talbot; Giacomo Amerio; Gabriel Kreiman; Davide Zoccolan (CoRR, 2025)