HfO2-based memristors for neuromorphic applications. - Erika Covi; Stefano Brivio; Alexantrou Serb; Themistoklis Prodromakis; M. Fanciulli; Sabina Spiga (ISCAS, 2016)

Physical Implementation of a Tunable Memristor-based Chua's Circuit. - Manuel Escudero; Sabina Spiga; Mauro Di Marco; Mauro Forti; Giacomo Innocenti; Alberto Tesi; Fernando Corinto; Stefano Brivio (ESSCIRC, 2022)

Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. - Filippo Moro; Eduardo Esmanhotto; Tifenn Hirtzlin; Niccolo Castellani; Ahmed Trabelsi; Thomas Dalgaty; Gabriel Molas; François Andrieu; Stefano Brivio; Sabina Spiga; Giacomo Indiveri; Melika Payvand; et al. (ISCAS, 2022)

Physics-based compact modelling of the analog dynamics of HfO x resistive memories. - Francesco Vaccaro; Stefano Brivio; Simona Perotto; Aurelio Giancarlo Mauri; Sabina Spiga (Neuromorph. Comput. Eng., 2022)

HfO2-based resistive switching memory devices for neuromorphic computing. - Stefano Brivio; Sabina Spiga; Daniele Ielmini (Neuromorph. Comput. Eng., 2022)

Chua's Circuit With Tunable Nonlinearity Based on a Nonvolatile Memristor: Design and Realization. - Manuel Escudero; Sabina Spiga; Mauro Di Marco; Mauro Forti; Giacomo Innocenti; Alberto Tesi; Fernando Corinto; Stefano Brivio (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Memristive chaotic circuit for information processing through time. - Manuel Escudero; Sabina Spiga; Stefano Brivio (CoRR, 2025)