MILO, VALERIO

MILO, VALERIO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Risultati 1 - 20 di 32 (tempo di esecuzione: 0.031 secondi).
Titolo Data di pubblicazione Autori File
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP) 1-gen-2018 Milo V.Pedretti G.Carboni R.Ambrogio S.Ielmini D. +
A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems 1-gen-2020 Pedretti G.Mannocci P.Hashemkhani S.Milo V.Melnic O.Chicca E.Ielmini D.
A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making 1-gen-2020 Pedretti, G.Milo, V.Hashemkhani, S.Mannocci, P.Melnic, O.Chicca, E.Ielmini, D.
A volatile RRAM synapse for neuromorphic computing 1-gen-2019 Covi E.Ielmini D.Wang W.Stecconi T.Milo V.Bricalli A.Ambrosi E.Pedretti G. +
Accurate Program/Verify Schemes of Resistive Switching Memory (RRAM) for In-Memory Neural Network Circuits 1-gen-2021 Milo, ValerioZambelli, CristianLepri, NicolaIelmini, Daniele +
Analytical Modeling of Current Overshoot in Oxide-Based Resistive Switching Memory (RRAM) 1-gen-2016 Ambrogio, StefanoMilo, ValerioWang, ZhongqiangBalatti, SimoneIelmini, Daniele
Analytical Modeling of Organic-Inorganic CH3 NH3 PbI3 Perovskite Resistive Switching and its Application for Neuromorphic Recognition 1-gen-2018 Milo, ValerioWang, ZhongqiangIelmini, Daniele +
Attractor networks and associative memories with STDP learning in RRAM synapses 1-gen-2017 Milo, V.Ielmini, D. +
Brain-Inspired Memristive Neural Networks for Unsupervised Learning 1-gen-2019 Ielmini, DanieleMilo, Valerio
Brain-inspired recurrent neural network with plastic RRAM synapses 1-gen-2018 Milo, ValerioChicca, ElisabettaIelmini, Daniele
Computing of temporal information in spiking neural networks with ReRAM synapses 1-gen-2019 Wang W.Pedretti G.Milo V.Carboni R.Spinelli A. S.Ielmini D. +
Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity 1-gen-2016 Milo, V.Pedretti, G.Carboni, R.Ambrogio, S.Ielmini, D. +
End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays 1-gen-2022 Glukhov, ALepri, NMilo, VIelmini, D +
Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses 1-gen-2018 Wang, WeiPedretti, GiacomoMilo, ValerioCarboni, RobertoSpinelli, Alessandro SIelmini, Daniele +
Low-energy inference machine with multilevel HfO2 RRAM arrays 1-gen-2019 Milo V.Olivo P.Ielmini D. +
Memristive and CMOS Devices for Neuromorphic Computing 1-gen-2020 Milo, ValerioMalavena, GerardoMonzio Compagnoni, ChristianIelmini, Daniele
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity 1-gen-2017 Pedretti, G.Milo, V.Ambrogio, S.Carboni, R.Bianchi, S.Sottocornola Spinelli, A.Ielmini, D. +
Memristive/CMOS devices for neuromorphic applications 1-gen-2023 V. MiloG. MalavenaC. Monzio CompagnoniD. Ielmini
Modeling and Compensation of IR Drop in Crosspoint Accelerators of Neural Networks 1-gen-2022 Lepri N.Baldo M.Mannocci P.Glukhov A.Milo V.Ielmini D.
Modeling-based design of brain-inspired spiking neural networks with RRAM learning synapses 1-gen-2017 Pedretti, G.Bianchi, S.Milo, V.Ielmini, D. +