MILO, VALERIO
MILO, VALERIO
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP)
2018-01-01 Milo, V.; Pedretti, G.; Carboni, R.; Calderoni, A.; Ramaswamy, N.; Ambrogio, S.; Ielmini, D.
A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems
2020-01-01 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
2020-01-01 Pedretti, G.; Milo, V.; Hashemkhani, S.; Mannocci, P.; Melnic, O.; Chicca, E.; Ielmini, D.
A volatile RRAM synapse for neuromorphic computing
2019-01-01 Covi, E.; Ielmini, D.; Lin, Y. -H.; Wang, W.; Stecconi, T.; Milo, V.; Bricalli, A.; Ambrosi, E.; Pedretti, G.; Tseng, T. -Y.
Accurate Program/Verify Schemes of Resistive Switching Memory (RRAM) for In-Memory Neural Network Circuits
2021-01-01 Milo, Valerio; Glukhov, Artem; Perez, Eduardo; Zambelli, Cristian; Lepri, Nicola; Mahadevaiah, Mamathamba Kalishettyhalli; Quesada, Emilio Perez-Bosch; Olivo, Piero; Wenger, Christian; Ielmini, Daniele
Analytical Modeling of Current Overshoot in Oxide-Based Resistive Switching Memory (RRAM)
2016-01-01 Ambrogio, Stefano; Milo, Valerio; Wang, Zhongqiang; Balatti, Simone; Ielmini, Daniele
Analytical Modeling of Organic-Inorganic CH3 NH3 PbI3 Perovskite Resistive Switching and its Application for Neuromorphic Recognition
2018-01-01 Ren, Yanyun; Milo, Valerio; Wang, Zhongqiang; Xu, Haiyang; Ielmini, Daniele; Zhao, Xiaoning; Liu, Yichun
Attractor networks and associative memories with STDP learning in RRAM synapses
2017-01-01 Milo, V.; Ielmini, D.; Chicca, E.
Brain-Inspired Memristive Neural Networks for Unsupervised Learning
2019-01-01 Ielmini, Daniele; Milo, Valerio
Brain-inspired recurrent neural network with plastic RRAM synapses
2018-01-01 Milo, Valerio; Chicca, Elisabetta; Ielmini, Daniele
Computing of temporal information in spiking neural networks with ReRAM synapses
2019-01-01 Wang, W.; Pedretti, G.; Milo, V.; Carboni, R.; Calderoni, A.; Ramaswamy, N.; Spinelli, A. S.; Ielmini, D.
Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity
2016-01-01 Milo, V.; Pedretti, G.; Carboni, R.; Calderoni, A.; Ramaswamy, N.; Ambrogio, S.; Ielmini, D.
End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays
2022-01-01 Glukhov, A; Lepri, N; Milo, V; Baroni, A; Zambelli, C; Olivo, P; Perez, E; Wenger, C; Ielmini, D
Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses
2018-01-01 Wang, Wei; Pedretti, Giacomo; Milo, Valerio; Carboni, Roberto; Calderoni, Alessandro; Ramaswamy, Nirmal; Spinelli, Alessandro S; Ielmini, Daniele
Low-energy inference machine with multilevel HfO2 RRAM arrays
2019-01-01 Milo, V.; Zambelli, C.; Olivo, P.; Perez, E.; Ossorio, O. G.; Wenger, C.; Ielmini, D.
Memristive and CMOS Devices for Neuromorphic Computing
2020-01-01 Milo, Valerio; Malavena, Gerardo; Monzio Compagnoni, Christian; Ielmini, Daniele
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
2017-01-01 Pedretti, G.; Milo, V.; Ambrogio, S.; Carboni, R.; Bianchi, S.; Calderoni, A.; Ramaswamy, N.; Sottocornola Spinelli, A.; Ielmini, D.
Memristive/CMOS devices for neuromorphic applications
2023-01-01 Milo, V.; Malavena, G.; Monzio Compagnoni, C.; Ielmini, D.
Modeling and Compensation of IR Drop in Crosspoint Accelerators of Neural Networks
2022-01-01 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
2017-01-01 Pedretti, G.; Bianchi, S.; Milo, V.; Calderoni, A.; Ramaswamy, N.; Ielmini, D.