BIANCHI, STEFANO
BIANCHI, STEFANO
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
A bio-inspired recurrent neural network with self-adaptive neurons and PCM synapses for solving reinforcement learning tasks
2020-01-01 Bianchi, S.; Muñoz Martín, I.; Hashemkhani, S.; Pedretti, G.; Ielmini, D.
A SiOx RRAM-based hardware with spike frequency adaptation for power-saving continual learning in convolutional neural networks
2020-01-01 Muñoz Martín, I.; Bianchi, S.; Covi, E.; Piccolboni, G.; Bricalli, A.; Regev, A.; Molas, G.; Nodin, J. F.; Nowak, E.; Ielmini, D.
Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators
2024-01-01 Pistolesi, L.; Glukhov, A.; de Gracia Herranz, A.; Lopez-Vallejo, M.; Carissimi, M.; Pasotti, M.; Rolandi, P.; Redaelli, A.; MUÑOZ MARTÍN, Irene; Bianchi, S.; Bonfanti, A.; Ielmini, D.
Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators
2024-01-01 Pistolesi, L.; Glukhov, A.; de Gracia Herranz, A.; Lopez-Vallejo, M.; Carissimi, M.; Pasotti, M.; Rolandi, P.; Redaelli, A.; MUÑOZ MARTÍN, Irene; Bianchi, S.; Bonfanti, A.; Ielmini, D.
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses
2019-01-01 Bianchi, S.; Munoz-Martin, I.; Pedretti, G.; Melnic, O.; Ambrogio, S.; Ielmini, D.
Hardware implementation of PCM-based neurons with self-regulating threshold for homeostatic scaling in unsupervised learning
2020-01-01 Muñoz Martín, I.; Bianchi, S.; Hashemkhani, S.; Pedretti, G.; 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.
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.