| Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses W Wang, G Pedretti, V Milo, R Carboni, A Calderoni, N Ramaswamy, ... Science advances 4 (9), eaat4752, 2018 | 276 | 2018 |
| Neuromorphic learning and recognition with one-transistor-one-resistor synapses and bistable metal oxide RRAM S Ambrogio, S Balatti, V Milo, R Carboni, ZQ Wang, A Calderoni, ... IEEE Transactions on Electron Devices 63 (4), 1508-1515, 2016 | 252 | 2016 |
| 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 |
| Physical unbiased generation of random numbers with coupled resistive switching devices S Balatti, S Ambrogio, R Carboni, V Milo, Z Wang, A Calderoni, ... IEEE Transactions on Electron Devices 63 (5), 2029-2035, 2016 | 134 | 2016 |
| Stochastic memory devices for security and computing R Carboni, D Ielmini Advanced Electronic Materials 5 (9), 1900198, 2019 | 125 | 2019 |
| Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity V Milo, G Pedretti, R Carboni, A Calderoni, N Ramaswamy, S Ambrogio, ... 2016 IEEE International Electron Devices Meeting (IEDM), 16.8. 1-16.8. 4, 2016 | 89 | 2016 |
| 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 |
| Novel RRAM-enabled 1T1R synapse capable of low-power STDP via burst-mode communication and real-time unsupervised machine learning S Ambrogio, S Balatti, V Milo, R Carboni, Z Wang, A Calderoni, ... 2016 IEEE Symposium on VLSI Technology, 1-2, 2016 | 42 | 2016 |
| Computing of temporal information in spiking neural networks with ReRAM synapses W Wang, G Pedretti, V Milo, R Carboni, A Calderoni, N Ramaswamy, ... Faraday discussions 213, 453-469, 2019 | 35 | 2019 |
| A 4-transistors/1-resistor hybrid synapse based on resistive switching memory (RRAM) capable of spike-rate-dependent plasticity (SRDP) V Milo, G Pedretti, R Carboni, A Calderoni, N Ramaswamy, S Ambrogio, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (12 …, 2018 | 33 | 2018 |
| Understanding cycling endurance in perpendicular spin-transfer torque (p-STT) magnetic memory R Carboni, S Ambrogio, W Chen, M Siddik, J Harms, A Lyle, W Kula, ... 2016 IEEE International Electron Devices Meeting (IEDM), 21.6. 1-21.6. 4, 2016 | 31 | 2016 |
| Random number generation by differential read of stochastic switching in spin-transfer torque memory R Carboni, W Chen, M Siddik, J Harms, A Lyle, W Kula, G Sandhu, ... IEEE Electron Device Letters 39 (7), 951-954, 2018 | 27 | 2018 |
| Modeling of breakdown-limited endurance in spin-transfer torque magnetic memory under pulsed cycling regime R Carboni, S Ambrogio, W Chen, M Siddik, J Harms, A Lyle, W Kula, ... IEEE Transactions on Electron Devices 65 (6), 2470-2478, 2018 | 25 | 2018 |
| A physics-based compact model of stochastic switching in spin-transfer torque magnetic memory R Carboni, E Vernocchi, M Siddik, J Harms, A Lyle, G Sandhu, D Ielmini IEEE Transactions on Electron Devices 66 (10), 4176-4182, 2019 | 13 | 2019 |
| Applications of resistive switching memory as hardware security primitive R Carboni, D Ielmini Applications of Emerging Memory Technology: Beyond Storage, 93-131, 2020 | 7 | 2020 |
| Characterization and Modeling of Spin-Transfer Torque (STT) Magnetic Memory for Computing Applications R Carboni Special Topics in Information Technology, 51-62, 2021 | 4 | 2021 |
| A compact model of stochastic switching in STT magnetic RAM for memory and computing R Carboni, E Vernocchi, M Siddik, J Harms, A Lyle, G Sandhu, D Ielmini 2019 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 1-6, 2019 | 3 | 2019 |
| 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, 2018 | 1 | 2018 |
| Characterization and modeling of spin-transfer torque (STT) magnetic memory for computing applications R Carboni Politecnico di Milano, 2020 | | 2020 |
| 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 |
Daniele IelminiProfessor of ElectronicsEmail verificata su elet.polimi.it