MUÑOZ MARTÍN, IRENE

MUÑOZ MARTÍN, IRENE  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
A bio-inspired recurrent neural network with self-adaptive neurons and PCM synapses for solving reinforcement learning tasks 1-gen-2020 S. BianchiI. Muñoz MartínS. HashemkhaniG. PedrettiD. Ielmini
A Compact Model for Stochastic Spike-Timing-Dependent Plasticity (STDP) Based on Resistive Switching Memory (RRAM) Synapses 1-gen-2020 Bianchi, StefanoPedretti, GiacomoMunoz-Martin, IreneIelmini, Daniele +
A SiOx RRAM-based hardware with spike frequency adaptation for power-saving continual learning in convolutional neural networks 1-gen-2020 I. Muñoz MartínS. BianchiE. CoviA. BricalliD. ielmini +
Bio-Inspired Techniques in a Fully Digital Approach for Lifelong Learning 1-gen-2020 Bianchi S.MUÑOZ MARTÍN IRENEIelmini D.
Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators 1-gen-2024 L. PistolesiA. GlukhovA. RedaelliIrene Muñoz MartínS. BianchiA. BonfantiD. Ielmini +
Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators 1-gen-2024 L. PistolesiA. GlukhovA. RedaelliIrene Muñoz MartínS. BianchiA. BonfantiD. Ielmini +
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses 1-gen-2019 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 1-gen-2020 I. Muñoz MartínS. BianchiS. HashemkhaniG. PedrettiD. Ielmini
Unsupervised Learning to Overcome Catastrophic Forgetting in Neural Networks 1-gen-2019 Munoz-Martin I.Bianchi S.Pedretti G.Melnic O.Ambrogio S.Ielmini D.