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 | 340 | 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 | 257 | 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 | 198 | 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 | 177 | 2012 |
Advances in neuromorphic memristor science and applications R Kozma, RE Pino, GE Pazienza Springer Science & Business Media, 2012 | 171 | 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 | 151 | 2012 |
Exploiting Intrinsic Variability of Filamentary Resistive Memory for Extreme Learning Machine Architectures M Suri, V Parmar IEEE, 2015 | 41 | 2015 |
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 | 38 | 2021 |
Recent trends in neuromorphic engineering S Soman, M Suri Big Data Analytics 1, 1-19, 2016 | 38 | 2016 |
Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices M Suri Springer 31, 210, 2017 | 37 | 2017 |
Recent trends in hardware security exploiting hybrid CMOS-resistive memory circuits S Sahay, M Suri Semiconductor Science and Technology 32 (12), 123001, 2017 | 35 | 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, ... | 35 | 2013 |
Stochastic neuron design using Conductive Bridge RAM G Palma, M Suri, D Querlioz, E Vianello, B De Salvo | 34 | 2013 |
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 | 30 | 2016 |
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 |
Network of artificial neurons based on complementary memristive devices O Bichler, B Desalvo, C Gamrat, S Manan US Patent 9,396,431, 2016 | 26 | 2016 |
Probabilistic neuromorphic system using binary phase-change memory (PCM) synapses: Detailed power consumption analysis D Garbin, M Suri, O Bichler, D Querlioz, C Gamrat, B DeSalvo Nanotechnology (IEEE-NANO), 2013 13th IEEE Conference on, 91-94, 2013 | 23 | 2013 |
Interface Engineering of PCM for Improved Synaptic Performance in Neuromorphic Systems M Suri, O Bichler, Q Hubert, L Perniola, V Sousa, C Jahan, D Vuillaume, ... Memory Workshop (IMW), 2012 4th IEEE International, 1-4, 2012 | 22 | 2012 |
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 | 21 | 2020 |
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 | 21 | 2019 |