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 Brain-Inspired Homeostatic Neuron Based on Phase-Change Memories for Efficient Neuromorphic Computing
2021-01-01 Munoz-Martin, I.; Bianchi, S.; Hashemkhani, S.; Pedretti, G.; Melnic, O.; 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 Drift-Resilient Hardware Implementation of Neural Accelerators Based on Phase Change Memory Devices
2021-01-01 Munoz-Martin, I.; Bianchi, S.; Melnic, O.; Bonfanti, A. G.; Ielmini, D.
A Multilayer Neural Accelerator With Binary Activations Based on Phase-Change Memory
2023-01-01 Bertuletti, Marco; Munoz-Martin, Irene; Bianchi, Stefano; Bonfanti, Andrea G.; Ielmini, Daniele
A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing
2023-01-01 Bianchi, S; Muñoz-Martin, I; Covi, E; Bricalli, A; Piccolboni, G; Regev, A; Molas, G; Nodin, J F; Andrieu, F; 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.
Bio-Inspired Techniques in a Fully Digital Approach for Lifelong Learning
2020-01-01 Bianchi, S.; MUÑOZ MARTÍN, Irene; Ielmini, D.
Combining accuracy and plasticity in convolutional neural networks based on resistive memory arrays for autonomous learning
2021-01-01 Bianchi, S.; Munoz-Martin, I.; Covi, E.; Bricalli, A.; Piccoloni, G.; Regev, A.; Molas, G.; Nodin, J. F.; Andrieu, F.; 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.
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
2017-01-01 Pedretti, G.; Milo, V.; Ambrogio, S.; Carboni, R.; Bianchi, S.; Calderoni, A.; Ramaswamy, N.; Sottocornola Spinelli, A.; 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.
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity with RRAM Synapses
2018-01-01 Pedretti, Giacomo; Milo, Valerio; Ambrogio, Stefano; Carboni, Roberto; Bianchi, Stefano; Calderoni, Alessandro; Ramaswamy, Nirmal; Spinelli, Alessandro S.; Ielmini, Daniele
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.