PEDRETTI, GIACOMO

PEDRETTI, GIACOMO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Risultati 1 - 15 di 15 (tempo di esecuzione: 0.031 secondi).
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 Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making 1-gen-2020 Pedretti, G.Milo, V.Hashemkhani, S.Mannocci, P.Melnic, O.Chicca, E.Ielmini, D.
A volatile RRAM synapse for neuromorphic computing 1-gen-2019 Covi E.Ielmini D.Wang W.Stecconi T.Milo V.Bricalli A.Ambrosi E.Pedretti G. +
Accelerating massive MIMO in 6G communications by analog in-memory computing circuits 1-gen-2023 Mannocci, PiergiulioPedretti, GiacomoVilla, CorradoSancandi, FlavioSpagnolini, UmbertoIelmini, Daniele +
An SRAM-based reconfigurable analog in-memory computing circuit for solving linear algebra problems 1-gen-2023 Mannocci, P.Pedretti, G.Villa, C.Sancandi, F.Spagnolini, U.Ielmini, D. +
Brain-inspired neuromorphic computing with phase change memory (PCM) synapses 1-gen-2017 M. LaudatoG. PedrettiD. Ielmini
Computing of temporal information in spiking neural networks with ReRAM synapses 1-gen-2019 Wang W.Pedretti G.Milo V.Carboni R.Spinelli A. S.Ielmini D. +
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. +
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-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devices 1-gen-2020 Sun Z.Pedretti G.Ambrosi E.Bricalli A.Ielmini D.
Modeling-based design of brain-inspired spiking neural networks with RRAM learning synapses 1-gen-2017 Pedretti, G.Bianchi, S.Milo, V.Ielmini, D. +
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks 1-gen-2018 MILO, VALERIOPEDRETTI, GIACOMOLaudato, M.BRICALLI, ALESSANDROAMBROSI, ELIABIANCHI, STEFANOCHICCA, ELISABETTAIelmini, D.