| 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), 5288, 2017 | 176 | 2017 |
| 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 | 50 | 2017 |
| Unsupervised learning to overcome catastrophic forgetting in neural networks I Munoz-Martin, S Bianchi, G Pedretti, O Melnic, S Ambrogio, D Ielmini IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019 | 36 | 2019 |
| 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 | 28 | 2017 |
| A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing S Bianchi, I Muñoz-Martin, E Covi, A Bricalli, G Piccolboni, A Regev, ... Nature Communications 14 (1), 1565, 2023 | 23 | 2023 |
| 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, 709053, 2021 | 16 | 2021 |
| 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 | 16 | 2020 |
| 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 | 16 | 2019 |
| 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 | 16 | 2018 |
| 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 | 15 | 2020 |
| 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 | 14 | 2020 |
| A drift-resilient hardware implementation of neural accelerators based on phase change memory devices I Munoz-Martin, S Bianchi, O Melnic, AG Bonfanti, D Ielmini IEEE Transactions on Electron Devices 68 (12), 6076-6081, 2021 | 13 | 2021 |
| A multilayer neural accelerator with binary activations based on phase-change memory M Bertuletti, I Muñoz-Martín, S Bianchi, AG Bonfanti, D Ielmini IEEE Transactions on Electron Devices 70 (3), 986-992, 2023 | 11 | 2023 |
| Bio-inspired techniques in a fully digital approach for lifelong learning S Bianchi, I Muñoz-Martin, D Ielmini Frontiers in Neuroscience 14, 379, 2020 | 9 | 2020 |
| 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 | 8 | 2020 |
| The PODCAST project–optimizing distribution networks with renewable energy sources E Bessone, S Bianchi, S Massucco, CA Nucci, M Pentolini, F Raco 2018 AEIT International Annual Conference, 1-6, 2018 | 6 | 2018 |
| Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity, Sci. Rep. 7 (2017) 5288 G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ... | 6 | 2017 |
| Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators L Pistolesi, A Glukhov, A de Gracia Herranz, M Lopez-Vallejo, M Carissimi, ... 2024 IEEE International Reliability Physics Symposium (IRPS), 1-4, 2024 | 2 | 2024 |
| Budget Impact Analysis of anakinra in the treatment of patients with Still’s Disease: Analisi di budget impact di anakinra nel trattamento della Malattia di Still in Italia R Ravasio, R Giacomelli, S Bianchi Global and Regional Health Technology Assessment 7 (1), 72-80, 2020 | 2 | 2020 |
| 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 | 1 | 2021 |
Daniele IelminiProfessor of Electronics在 elet.polimi.it 的电子邮件经过验证