BRIVIO, STEFANO
BRIVIO, STEFANO
Istituto per la Microelettronica e Microsistemi - IMM - Sede Secondaria Agrate Brianza
Modeling and simulation of electrochemical and surface diffusion effects in filamentary cation-based resistive memory devices
2024 Vaccaro, F.; Mauri, A. G.; Perotto, S.; Brivio, S.; Spiga, S.
Unraveling the roles of switching and relaxation times in volatile electrochemical memristors to mimic neuromorphic dynamical features
2024 Dutta, Mrinmoy; Brivio, Stefano; Spiga, Sabina
Chua’s Circuit With Tunable Nonlinearity Based on a Nonvolatile Memristor: Design and Realization
2023 Escudero, Manuel; Spiga, Sabina; Marco, Mauro Di; Forti, Mauro; Innocenti, Giacomo; Tesi, Alberto; Corinto, Fernando; Brivio, Stefano
Noise induced oscillations in a second order circuit with nonvolatile memristor
2023 Bonnin, M.; Song, K.; Corinto, F.; Bonani, F.; Traversa, F. L.; Escudero Lopez, M.; Brivio, S.; Spiga, S.
SHIP: a computational framework for simulating and validating novel technologies in hardware spiking neural networks
2023 Gemo, Emanuele; Spiga, Sabina; Brivio, Stefano
Editorial: Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions
2022 Covi, E.; Donati, E.; Brivio, S.; Heidari, H.
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks
2022 Moro, F.; Esmanhotto, E.; Hirtzlin, T.; Castellani, N.; Trabelsi, A.; Dalgaty, T.; Molas, G.; Andrieu, F.; Brivio, S.; Spiga, S.; Indiveri, G.; Payvand, M.; Vianello, E.
HfO2-based resistive switching memory devices for neuromorphic computing
2022 Brivio, S.; Spiga, S.; Ielmini, D.
Improving HfO2-Based Resistive Switching Devices by Inserting a TaOxThin Film via Engineered In Situ Oxidation
2022 Wang, T.; Brivio, S.; Cianci, E.; Wiemer, C.; Perego, M.; Spiga, S.; Lanza, M.
Neuromorphic applications using MOx-based memristors
2022 Brivio, S.; Vianello, Elisa
Physical Implementation of a Tunable Memristor-based Chua's Circuit
2022 Escudero Lopez, Manuel; Spiga, S.; Di Marco, M.; Forti, Mauro; Innocenti, G.; Tesi, A.; Corinto, F.; Brivio, S.
Physics-based compact modelling of the analog dynamics of HfOx resistive memories
2022 Vaccaro, F.; Brivio, S.; Perotto, S.; Mauri, A. G.; Spiga, S.
Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks
2021 Brivio, Stefano; Ly Denys, Rb; Vianello, Elisa; Spiga, Sabina
Fabrication of ordered Sb-Te and In-Ge-Te nanostructures by selective MOCVD
2020 Cecchini, R; Martella, C; Lamperti, A; Brivio, S; Rossi, F; Lazzarini, L; Varesi, E; Longo, M
Electrical AFM for the analysis of resistive switching
2019 Brivio, Stefano; Frascaroli, Jacopo; Lee, Min Hwan
Extended memory lifetime in spiking neural networks employing memristive synapses with nonlinear conductance dynamics
2019 Brivio, S; Conti, D; Nair, M V; Frascaroli, J; Covi, E; Ricciardi, C; Indiveri, G; Spiga, S
Stimulated Ionic Telegraph Noise in Filamentary Memristive Devices
2019 Brivio S.; Frascaroli J.; Covi E.; Spiga S.
Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing
2018 Frascaroli, Jacopo; Brivio, Stefano; Covi, Erika; Spiga, Sabina
Spike-driven threshold-based learning with memristive synapses and neuromorphic silicon neurons
2018 E Covi;R George;J Frascaroli;S Brivio;C Mayr;H Mostafa;G Indiveri;S Spiga
Resistive random access memory (RRAM) technology: From material, device, selector, 3D integration to bottom-up fabrication
2017 Chen H.Y.; Brivio S.; Chang C.C.; Frascaroli J.; Hou T.H.; Hudec B.; Liu M.; Lv H.; Molas G.; Sohn J.; Spiga S.; Teja V.M.; Vianello E.; Wong H.S.P.