Sfoglia per Autore
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
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.
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
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
Novel RRAM-enabled 1T1R synapse capable of low-power STDP via burst-mode communication and real-Time unsupervised machine learning
2016-01-01 Ambrogio, S.; Balatti, S.; Milo, V.; Carboni, R.; Wang, Z.; Calderoni, A.; Ramaswamy, N.; Ielmini, D.
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
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.
Attractor networks and associative memories with STDP learning in RRAM synapses
2017-01-01 Milo, V.; Ielmini, D.; Chicca, E.
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.
Physics-based modeling approaches of resistive switching devices for memory and in-memory computing applications
2017-01-01 Ielmini, D.; Milo, V.
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.
Brain-inspired recurrent neural network with plastic RRAM synapses
2018-01-01 Milo, Valerio; Chicca, Elisabetta; Ielmini, Daniele
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks
2018-01-01 Milo, Valerio; Pedretti, Giacomo; Laudato, M.; Bricalli, Alessandro; Ambrosi, Elia; Bianchi, Stefano; Chicca, Elisabetta; Ielmini, D.
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
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
Brain-Inspired Memristive Neural Networks for Unsupervised Learning
2019-01-01 Ielmini, Daniele; Milo, Valerio
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.
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.
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.
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