Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning. - Daniele Ielmini; Stefano Ambrogio; Valerio Milo; Simone Balatti; Zhongqiang Wang (ISCAS, 2016)

Brain-inspired recurrent neural network with plastic RRAM synapses. - Valerio Milo; Elisabetta Chicca; Daniele Ielmini (ISCAS, 2018)

Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks. - Valerio Milo; Giacomo Pedretti; Mario Laudato; Alessandro Bricalli; Elia Ambrosi; Stefano Bianchi; Elisabetta Chicca; Daniele Ielmini (ISCAS, 2018)

Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses. - Giacomo Pedretti; Valerio Milo; Stefano Ambrogio; Roberto Carboni; Stefano Bianchi; Alessandro Calderoni; Nirmal Ramaswamy; Alessandro S. Spinelli; Daniele Ielmini (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP). - Valerio Milo; Giacomo Pedretti; Roberto Carboni; Alessandro Calderoni; Nirmal Ramaswamy; Stefano Ambrogio; Daniele Ielmini (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Brain-Inspired Memristive Neural Networks for Unsupervised Learning. - Daniele Ielmini; Valerio Milo (Handbook of Memristor Networks, 2019)

Low-energy inference machine with multilevel HfO2 RRAM arrays. - Valerio Milo; Cristian Zambelli; Piero Olivo; Eduardo Pérez; Oscar Gonzalez Ossorio; Christian Wenger; Daniele Ielmini (ESSDERC, 2019)

A Volatile RRAM Synapse for Neuromorphic Computing. - Erika Covi; Daniele Ielmini; Y.-H. Lin; Wei Wang 209; Tommaso Stecconi; Valerio Milo; Alessandro Bricalli; Elia Ambrosi; Giacomo Pedretti; Tseung-Yuen Tseng (ICECS, 2019)

Modeling and simulation of spiking neural networks with resistive switching synapses. - Valerio Milo (2019)

A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making. - Giacomo Pedretti; Valerio Milo; S. Hashemkhani; Piergiulio Mannocci; Octavian Melnic; Elisabetta Chicca; Daniele Ielmini (ISCAS, 2020)

Optimized programming algorithms for multilevel RRAM in hardware neural networks. - Valerio Milo; Francesco Anzalone; Cristian Zambelli; Eduardo Pérez; Mamathamba Kalishettyhalli Mahadevaiah; Oscar Gonzalez Ossorio; Piero Olivo; Christian Wenger; Daniele Ielmini (IRPS, 2021)

Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators. - Artem Glukhov; Valerio Milo; Andrea Baroni; Nicola Lepri; Cristian Zambelli; Piero Olivo; Eduardo Pérez; Christian Wenger; Daniele Ielmini (IRPS, 2022)

Reliability of Non-Volatile Memory Devices for Neuromorphic Applications: A Modeling Perspective (Invited). - Andrea Padovani; Milan Pesic; Federico Nardi; Valerio Milo; Luca Larcher; Mondol Anik Kumar; Zunaid Baten (IRPS, 2022)

End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays. - Artem Glukhov; Nicola Lepri; Valerio Milo; Andrea Baroni; Cristian Zambelli; Piero Olivo; Eduardo Pérez; Christian Wenger; Daniele Ielmini (VLSI-SoC, 2022)

Towards a Universal Model of Dielectric Breakdown. - Andrea Padovani; Paolo La Torraca; Jack Strand; Alexander L. Shluger; Valerio Milo; Luca Larcher (IRPS, 2023)