Valerio Milo
Valerio Milo
Postdoctoral Researcher, Politecnico di Milano
Verified email at polimi.it
Title
Cited by
Cited by
Year
Neuromorphic learning and recognition with one-transistor-one-resistor synapses and bistable metal oxide RRAM
S Ambrogio, S Balatti, V Milo, R Carboni, ZQ Wang, A Calderoni, ...
IEEE Transactions on Electron Devices 63 (4), 1508-1515, 2016
1042016
Unsupervised learning by spike timing dependent plasticity in phase change memory (PCM) synapses
S Ambrogio, N Ciocchini, M Laudato, V Milo, A Pirovano, P Fantini, ...
Frontiers in neuroscience 10, 56, 2016
942016
Physical unbiased generation of random numbers with coupled resistive switching devices
S Balatti, S Ambrogio, R Carboni, V Milo, Z Wang, A Calderoni, ...
IEEE Transactions on Electron Devices 63 (5), 2029-2035, 2016
622016
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
Scientific reports 7 (1), 1-10, 2017
562017
Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses
W Wang, G Pedretti, V Milo, R Carboni, A Calderoni, N Ramaswamy, ...
Science advances 4 (9), eaat4752, 2018
442018
Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity
V Milo, G Pedretti, R Carboni, A Calderoni, N Ramaswamy, S Ambrogio, ...
2016 IEEE International Electron Devices Meeting (IEDM), 16.8. 1-16.8. 4, 2016
362016
Stochastic learning in neuromorphic hardware via spike timing dependent plasticity with RRAM synapses
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 …, 2017
292017
Novel RRAM-enabled 1T1R synapse capable of low-power STDP via burst-mode communication and real-time unsupervised machine learning
S Ambrogio, S Balatti, V Milo, R Carboni, Z Wang, A Calderoni, ...
2016 IEEE Symposium on VLSI Technology, 1-2, 2016
232016
Analytical Modeling of Organic–Inorganic CH3NH3PbI3 Perovskite Resistive Switching and its Application for Neuromorphic Recognition
Y Ren, V Milo, Z Wang, H Xu, D Ielmini, X Zhao, Y Liu
Advanced Theory and Simulations 1 (4), 1700035, 2018
172018
Analytical modeling of current overshoot in oxide-based resistive switching memory (RRAM)
S Ambrogio, V Milo, ZQ Wang, S Balatti, D Ielmini
IEEE Electron Device Letters 37 (10), 1268-1271, 2016
172016
Attractor networks and associative memories with STDP learning in RRAM synapses
V Milo, D Ielmini, E Chicca
2017 IEEE International Electron Devices Meeting (IEDM), 11.2. 1-11.2. 4, 2017
142017
Modeling-based design of brain-inspired spiking neural networks with RRAM learning synapses
G Pedretti, S Bianchi, V Milo, A Calderoni, N Ramaswamy, D Ielmini
2017 IEEE International Electron Devices Meeting (IEDM), 28.1. 1-28.1. 4, 2017
122017
Multilevel HfO2-based RRAM devices for low-power neuromorphic networks
V Milo, C Zambelli, P Olivo, E Pérez, M K. Mahadevaiah, O G. Ossorio, ...
APL Materials 7 (8), 081120, 2019
112019
Computing of temporal information in spiking neural networks with ReRAM synapses
W Wang, G Pedretti, V Milo, R Carboni, A Calderoni, N Ramaswamy, ...
Faraday discussions 213, 453-469, 2019
92019
Physics-based modeling approaches of resistive switching devices for memory and in-memory computing applications
D Ielmini, V Milo
Journal of Computational Electronics 16 (4), 1121-1143, 2017
92017
A 4-transistors/1-resistor hybrid synapse based on resistive switching memory (RRAM) capable of spike-rate-dependent plasticity (SRDP)
V Milo, G Pedretti, R Carboni, A Calderoni, N Ramaswamy, S Ambrogio, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (12 …, 2018
82018
Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning
D Ielmini, S Ambrogio, V Milo, S Balatti, ZQ Wang
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 1386-1389, 2016
82016
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks
V Milo, G Pedretti, M Laudato, A Bricalli, E Ambrosi, S Bianchi, E Chicca, ...
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
52018
Brain-inspired recurrent neural network with plastic RRAM synapses
V Milo, E Chicca, D Ielmini
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
42018
Memristive and CMOS devices for neuromorphic computing
V Milo, G Malavena, C Monzio Compagnoni, D Ielmini
Materials 13 (1), 166, 2020
22020
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Articles 1–20