PEDRETTI, GIACOMO

PEDRETTI, GIACOMO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Risultati 1 - 20 di 39 (tempo di esecuzione: 0.11 secondi).
Titolo Data di pubblicazione Autori File
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP) 1-gen-2018 Milo V.Pedretti G.Carboni R.Ambrogio S.Ielmini D. +
Analogue In-Memory Computing with Resistive Switching Memories 1-gen-2022 Pedretti, GiacomoIelmini, Daniele
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 Brain-Inspired Homeostatic Neuron Based on Phase-Change Memories for Efficient Neuromorphic Computing 1-gen-2021 Bianchi S.Hashemkhani S.Pedretti G.Melnic O.Ielmini D. +
Brain-inspired neuromorphic computing with phase change memory (PCM) synapses 1-gen-2017 M. LaudatoG. PedrettiD. Ielmini
Brain‐Inspired Structural Plasticity through Reweighting and Rewiring in Multi‐Terminal Self‐Organizing Memristive Nanowire Networks 1-gen-2020 Pedretti, GiacomoIelmini, Daniele +
CIRCUITO DI RISOLUZIONE DI PROBLEMI MATEMATICI COMPRENDENTE ELEMENTI RESISTIVI 1-gen-2017 D. IelminiZ. SunG. Pedretti
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 +
Computing of temporal information in spiking neural networks with ReRAM synapses 1-gen-2019 Wang W.Pedretti G.Milo V.Carboni R.Ielmini D. +
Computing with nonvolatile memories for artificial intelligence 1-gen-2022 Pedretti, GiacomoIelmini, Daniele
Conductance variations and their impact on the precision of in-memory computing with resistive switching memory (RRAM) 1-gen-2021 Pedretti G.Ambrosi E.Ielmini D.
Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity 1-gen-2016 Milo, V.Pedretti, G.Carboni, R.Ambrogio, S.Ielmini, D. +
Device and Circuit Architectures for In‐Memory Computing 1-gen-2020 Ielmini, DanielePedretti, Giacomo
Dispositivo basato su nanofili per l’implementazione di un reservoir per una rete neurale 1-gen-2021 Milano G.Ielmini D.Pedretti G. +
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.
Fast solution of linear systems with analog resistive switching memory (RRAM) 1-gen-2019 Sun Z.Pedretti G.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
In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks 1-gen-2021 Pedretti G.Ricci S.Hashemkhani S.Ielmini D. +
In-memory computing with resistive memory circuits: Status and outlook 1-gen-2021 Pedretti G.Ielmini D.
In-Memory PageRank Accelerator With a Cross-Point Array of Resistive Memories 1-gen-2020 Sun, ZhongAmbrosi, EliaPedretti, GiacomoBricalli, AlessandroIelmini, Daniele