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Stefano Bianchi
Stefano Bianchi
R&D Scientist - AMS/RF and AI accelerators designer
Verified email at polimi.it - Homepage
Title
Cited by
Cited by
Year
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
Scientific reports 7 (1), 1-10, 2017
1352017
Stochastic learning in neuromorphic hardware via spike timing dependent plasticity with RRAM synapses
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 …, 2017
362017
Modeling-based design of brain-inspired spiking neural networks with RRAM learning synapses
G Pedretti, S Bianchi, V Milo, A Calderoni, N Ramaswamy, D Ielmini
2017 IEEE International Electron Devices Meeting (IEDM), 28.1. 1-28.1. 4, 2017
232017
Unsupervised learning to overcome catastrophic forgetting in neural networks
I Muñoz-Martín, S Bianchi, G Pedretti, O Melnic, S Ambrogio, D Ielmini
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019
202019
Biomedical data integration–capturing similarities while preserving disparities
S Bianchi, A Burla, C Conti, A Farkash, C Kent, Y Maman, A Shabo
2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009
132009
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks
V Milo, G Pedretti, M Laudato, A Bricalli, E Ambrosi, S Bianchi, E Chicca, ...
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
112018
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses
S Bianchi, I Muñoz-Martín, G Pedretti, O Melnic, S Ambrogio, D Ielmini
2019 Symposium on VLSI Technology, T172-T173, 2019
92019
Bio-inspired techniques in a fully digital approach for lifelong learning
S Bianchi, I Muñoz-Martin, D Ielmini
Frontiers in Neuroscience 14, 379, 2020
62020
A compact model for stochastic spike-timing-dependent plasticity (STDP) based on resistive switching memory (RRAM) synapses
S Bianchi, G Pedretti, I Munoz-Martin, A Calderoni, N Ramaswamy, ...
IEEE Transactions on Electron Devices 67 (7), 2800-2806, 2020
52020
Hardware implementation of PCM-based neurons with self-regulating threshold for homeostatic scaling in unsupervised learning
I Muńoz-Martín, S Bianchi, S Hashemkhani, G Pedretti, D Ielmini
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
42020
Semantic warehousing of diverse biomedical information
S Bianchi, A Burla, C Conti, A Farkash, C Kent, Y Maman, A Shabo
International Conference on Next Generation Information Technologies and …, 2009
42009
A bio-inspired recurrent neural network with self-adaptive neurons and PCM synapses for solving reinforcement learning tasks
S Bianchi, I Muńoz-Martín, S Hashemkhani, G Pedretti, D Ielmini
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
32020
A SiOx RRAM-based hardware with spike frequency adaptation for power-saving continual learning in convolutional neural networks
I Muñoz-Martin, S Bianchi, E Covi, G Piccolboni, A Bricalli, A Regev, ...
2020 IEEE Symposium on VLSI Technology, 1-2, 2020
32020
A standard based approach for biomedical knowledge representation
A Farkash, H Neuvirth, Y Goldschmidt, C Conti, F Rizzi, S Bianchi, E Salvi, ...
Conference of the European Federation of Medical Informatics (MIE): August …, 2011
32011
A brain-inspired homeostatic neuron based on phase-change memories for efficient neuromorphic computing
I Muñoz-Martin, S Bianchi, S Hashemkhani, G Pedretti, O Melnic, D Ielmini
Frontiers in Neuroscience 15, 2021
22021
Combining accuracy and plasticity in convolutional neural networks based on resistive memory arrays for autonomous learning
S Bianchi, I Muñoz-Martín, E Covi, A Bricalli, G Piccoloni, A Regev, ...
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 7 …, 2021
12021
A Drift-Resilient Hardware Implementation of Neural Accelerators Based on Phase Change Memory Devices
I Muñoz-Martín, S Bianchi, O Melnic, AG Bonfanti, D Ielmini
IEEE Transactions on Electron Devices 68 (12), 6076-6081, 2021
2021
Hardware design and implementation of memristive-based learning systems for efficient neurocomputing
S Bianchi
Italy, 2021
2021
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity (vol 7, 5288, 2017)
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
SCIENTIFIC REPORTS 8, 2018
2018
Publisher Correction: Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
Scientific Reports 8 (1), 1-1, 2018
2018
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Articles 1–20