Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep-mediated noise-resilience. - Bruno Golosio; Chiara De Luca; Cristiano Capone; Elena Pastorelli; Giovanni Stegel; Gianmarco Tiddia; Giulia De Bonis; Pier Stanislao Paolucci (CoRR, 2020)

A new GPU library for fast simulation of large-scale networks of spiking neurons. - Bruno Golosio; Gianmarco Tiddia; Chiara De Luca; Elena Pastorelli; Francesco Simula; Pier Stanislao Paolucci (CoRR, 2020)

Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs. - Bruno Golosio; Gianmarco Tiddia; Chiara De Luca; Elena Pastorelli; Francesco Simula; Pier Stanislao Paolucci (Frontiers Comput. Neurosci., 2021)

Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep. - Bruno Golosio; Chiara De Luca; Cristiano Capone; Elena Pastorelli; Giovanni Stegel; Gianmarco Tiddia; Giulia De Bonis; Pier Stanislao Paolucci (PLoS Comput. Biol., 2021)

NREM and REM: cognitive and energetic effects in thalamo-cortical sleeping and awake spiking model. - Leonardo Tonielli; Chiara De Luca; Elena Pastorelli; Cristiano Capone; Francesco Simula; Cosimo Lupo; Irene Bernava; Giulia De Bonis; Gianmarco Tiddia; Bruno Golosio; Pier Stanislao Paolucci (CoRR, 2022)

Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection. - Alessio Carpegna; Chiara De Luca; Federico Emanuele Pozzi; Alessandro Savino; Stefano Di Carlo; Giacomo Indiveri; Elisa Donati (BioCAS, 2024)

RED-SEA Project: Towards a new-generation European interconnect. - María Engracia Gómez; Julio Sahuquillo; Andrea Biagioni; Nikos Chrysos; Damien Berton; Ottorino Frezza; Francesca Lo Cicero; Alessandro Lonardo; Michele Martinelli; Pier Stanislao Paolucci; Elena Pastorelli; Francesco Simula; et al. (Microprocess. Microsystems, 2024)

A feedback control optimizer for online and hardware-aware training of Spiking Neural Networks. - Matteo Saponati; Chiara De Luca; Giacomo Indiveri; Benjamin F. Grewe (NICE, 2025)

Continuous signal sparse encoding using analog neuromorphic variability. - Filippo Costa; Chiara De Luca (CoRR, 2025)