| Phase change memory as synapse for ultra-dense neuromorphic systems: Application to complex visual pattern extraction M Suri, O Bichler, D Querlioz, O Cueto, L Perniola, V Sousa, D Vuillaume, ... 2011 International Electron Devices Meeting, 4.4. 1-4.4. 4, 2011 | 352 | 2011 |
| Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses M Suri, D Querlioz, O Bichler, G Palma, E Vianello, D Vuillaume, ... IEEE Transactions on Electron Devices 60 (7), 2013 | 269 | 2013 |
| Visual Pattern Extraction Using Energy-Efficient “2-PCM Synapse” Neuromorphic Architecture O Bichler, M Suri, D Querlioz, B DeSalvo, C Gamrat Electron Devices, IEEE Transactions on 59 (8), 2206-2214, 2012 | 217 | 2012 |
| Advances in neuromorphic memristor science and applications R Kozma, RE Pino, GE Pazienza Springer Science & Business Media, 2012 | 191 | 2012 |
| CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: auditory (cochlea) and visual (retina) cognitive processing applications M Suri, O Bichler, D Querlioz, G Palma, E Vianello, D Vuillaume, ... 2012 International Electron Devices Meeting, 10.3. 1-10.3. 4, 2012 | 174 | 2012 |
| Physical aspects of low power synapses based on phase change memory devices M Suri, O Bichler, D Querlioz, B Traore, O Cueto, L Perniola, V Sousa, ... Journal of Applied Physics 112 (5), 054904, 2012 | 165 | 2012 |
| An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation A Shaban, SS Bezugam, M Suri Nature Communications 12 (1), 4234, 2021 | 70 | 2021 |
| Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices M Suri Springer 31, 210, 2017 | 44 | 2017 |
| Exploiting Intrinsic Variability of Filamentary Resistive Memory for Extreme Learning Machine Architectures M Suri, V Parmar IEEE, 2015 | 44 | 2015 |
| Recent trends in neuromorphic engineering S Soman, M Suri Big Data Analytics 1, 1-19, 2016 | 41 | 2016 |
| Recent trends in hardware security exploiting hybrid CMOS-resistive memory circuits S Sahay, M Suri Semiconductor Science and Technology 32 (12), 123001, 2017 | 40 | 2017 |
| Impact of PCM Resistance-Drift in Neuromorphic Systems and Drift-Mitigation Strategy M Suri, D Garbin, O Bichler, D Querlioz, D Vuillaume, C Gamrat, ... | 36 | 2013 |
| Stochastic neuron design using Conductive Bridge RAM G Palma, M Suri, D Querlioz, E Vianello, B De Salvo | 33 | 2013 |
| SLIM: simultaneous logic-in-memory computing exploiting bilayer analog OxRAM devices SK Kingra, V Parmar, CC Chang, B Hudec, TH Hou, M Suri Scientific reports 10 (1), 2567, 2020 | 29 | 2020 |
| Network of artificial neurons based on complementary memristive devices O Bichler, B Desalvo, C Gamrat, S Manan US Patent 9,396,431, 2016 | 29 | 2016 |
| Neuromorphic hybrid RRAM-CMOS RBM architecture M Suri, V Parmar, A Kumar, D Querlioz, F Alibart 15th Non-Volatile Memory Technology Symposium (NVMTS), Beijing, China, 2015, 1-6, 2016 | 29 | 2016 |
| Low-power (1T1N) skyrmionic synapses for spiking neuromorphic systems T Bhattacharya, S Li, Y Huang, W Kang, W Zhao, M Suri IEEE Access 7, 5034-5044, 2019 | 28 | 2019 |
| Phase change memory for synaptic plasticity application in neuromorphic systems M Suri, V Sousa, L Perniola, D Vuillaume, B DeSalvo The 2011 International Joint Conference on Neural Networks, 619-624, 2011 | 28 | 2011 |
| OxRAM RNG Circuits Exploiting Multiple Undesirable Nanoscale Phenomena VP Shubham Sahay, Manan Suri, Ashwani Kumar IEEE Transactions on Nanotechnology, 2017 | 24* | 2017 |
| NV-BNN: An accurate deep convolutional neural network based on binary STT-MRAM for adaptive AI edge CC Chang, MH Wu, JW Lin, CH Li, V Parmar, HY Lee, JH Wei, SS Sheu, ... Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 23 | 2019 |
Damien QuerliozResearch Scientist, CNRS, Université Paris-Saclay在 u-psud.fr 的电子邮件经过验证
Damien QuerliozResearch Scientist, CNRS, Université Paris-Saclay在 u-psud.fr 的电子邮件经过验证
Olivier BichlerCEA, LIST在 cea.fr 的电子邮件经过验证