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.
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
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
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.
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.
Multilevel HfO2-based RRAM devices for low-power neuromorphic networks
2019-01-01 Milo, V.; Zambelli, C.; Olivo, P.; Perez, E.; K. Mahadevaiah, M.; G. Ossorio, O.; Wenger, C.; Ielmini, D.
Neuromorphic Learning and Recognition With One-Transistor-One-Resistor Synapses and Bistable Metal Oxide RRAM
2016-01-01 Ambrogio, Stefano; Balatti, Simone; Milo, Valerio; Carboni, Roberto; Wang, Zhong Qiang; Calderoni, Alessandro; Ramaswamy, Nirmal; Ielmini, Daniele
Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices
2016-01-01 Balatti, Simone; Ambrogio, Stefano; Carboni, Roberto; Milo, Valerio; Wang, Zhongqiang; Calderoni, A.; Ramaswamy, N.; Ielmini, Daniele
Physics-based modeling approaches of resistive switching devices for memory and in-memory computing applications
2017-01-01 Ielmini, D.; Milo, V.
Reliability of Logic-in-Memory Circuits in Resistive Memory Arrays
2020-01-01 Zanotti, Tommaso; Zambelli, Cristian; Puglisi, Francesco Maria; Milo, Valerio; Perez, Eduardo; Mahadevaiah, Mamathamba K.; Ossorio, Oscar G.; Wenger, Christian; Pavan, Paolo; Olivo, Piero; Ielmini, Daniele
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity with RRAM Synapses
2018-01-01 Pedretti, Giacomo; Milo, Valerio; Ambrogio, Stefano; Carboni, Roberto; Bianchi, Stefano; Calderoni, Alessandro; Ramaswamy, Nirmal; Spinelli, Alessandro S.; Ielmini, Daniele
Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses
2016-01-01 Ambrogio, Stefano; Ciocchini, Nicola; Laudato, Mario; Milo, Valerio; Pirovano, Agostino; Fantini, Paolo; Ielmini, Daniele