MUÑOZ MARTÍN, IRENE
MUÑOZ MARTÍN, IRENE
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 Compact Model for Stochastic Spike-Timing-Dependent Plasticity (STDP) Based on Resistive Switching Memory (RRAM) Synapses
2020-01-01 Bianchi, Stefano; Pedretti, Giacomo; Munoz-Martin, Irene; Calderoni, Alessandro; Ramaswamy, Nirmal; Ambrogio, Stefano; Ielmini, Daniele
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.
Bio-Inspired Techniques in a Fully Digital Approach for Lifelong Learning
2020-01-01 Bianchi, S.; MUÑOZ MARTÍN, Irene; Ielmini, D.
Differential Phase Change Memory (PCM) Cell for Drift-Compensated In-Memory Computing
2024-01-01 Pistolesi, L.; Ravelli, L.; Glukhov, A.; de Gracia Herranz, A.; Lopez-Vallejo, M.; Carissimi, M.; Pasotti, M.; Rolandi, P. L.; Redaelli, A.; Muñoz Martín, I.; 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.
Unsupervised Learning to Overcome Catastrophic Forgetting in Neural Networks
2019-01-01 Munoz-Martin, I.; Bianchi, S.; Pedretti, G.; Melnic, O.; Ambrogio, S.; Ielmini, D.