| Immunity to Device Variations in a Spiking Neural Network with Memristive Nanodevices D Querlioz, O Bichler, P Dollfus, C Gamrat Nanotechnology, IEEE Transactions on 12 (3), 288-295, 2013 | 398 | 2013 |
| Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems A Vincent, J Larroque, N Locatelli, N Ben Romdhane, O Bichler, W Zhao, ... Biomedical Circuits and Systems, IEEE Transactions on, 2015 | 378 | 2015 |
| 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, ... Electron Devices Meeting (IEDM), 2011 IEEE International, 4.4. 1-4.4. 4, 2011 | 334 | 2011 |
| Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses M Suri, D Querlioz, O Bichler, G Palma, E Vianello, D Vuillaume, ... Electron Devices, IEEE Transactions on 60 (7), 2402-2409, 2013 | 249 | 2013 |
| Plasticity in memristive devices for Spiking Neural Networks S Saïghi, CG Mayr, T Serrano-Gotarredona, H Schmidt, G Lecerf, J Tomas, ... Frontiers in Neuroscience 9, 51, 2015 | 238 | 2015 |
| Simulation of a memristor-based spiking neural network immune to device variations D Querlioz, O Bichler, C Gamrat Neural Networks (IJCNN), The 2011 International Joint Conference on, 1775-1781, 2011 | 225 | 2011 |
| HfO₂-Based OxRAM Devices as Synapses for Convolutional Neural Networks D Garbin, E Vianello, O Bichler, Q Rafhay, C Gamrat, G Ghibaudo, ... Electron Devices, IEEE Transactions on 62 (8), 2494-2501, 2015 | 213* | 2015 |
| Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity O Bichler, D Querlioz, SJ Thorpe, JP Bourgoin, C Gamrat Neural Networks 32, 339-348, 2012 | 199 | 2012 |
| A Memristive Nanoparticle/Organic Hybrid Synapstor for Neuroinspired Computing F Alibart, S Pleutin, O Bichler, C Gamrat, T Serrano‐Gotarredona, ... Advanced Functional Materials 22 (3), 609-616, 2012 | 195 | 2012 |
| Visual Pattern Extraction Using Energy-Efficient “2-PCM Synapse” Neuromorphic Architecture O Bichler, M Suri, D Querlioz, D Vuillaume, B DeSalvo, C Gamrat Electron Devices, IEEE Transactions on 59 (8), 2206-2214, 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, ... Electron Devices Meeting (IEDM), 2012 IEEE International, 2012 | 169 | 2012 |
| Physical aspects of low power synapses based on phase change memory devices M Suri, O Bichler, D Querlioz, B Traoré, O Cueto, L Perniola, V Sousa, ... Journal of Applied Physics 112, 054904, 2012 | 147 | 2012 |
| Bioinspired Programming of Memory Devices for Implementing an Inference Engine D Querlioz, O Bichler, AF Vincent, C Gamrat Proceedings of the IEEE, 2015 | 130 | 2015 |
| Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors O Bichler, W Zhao, F Alibart, S Pleutin, S Lenfant, D Vuillaume, C Gamrat Neural Computation 25 (2), 549-566, 2012 | 99 | 2012 |
| Variability-tolerant Convolutional Neural Network for Pattern Recognition Applications based on OxRAM Synapses D Garbin, O Bichler, E Vianello, Q Rafhay, C Gamrat, L Perniola, ... Electron Devices Meeting (IEDM), 2014 IEEE International, 2014 | 85 | 2014 |
| Event-based, timescale invariant unsupervised online deep learning with STDP JC Thiele, O Bichler, A Dupret Frontiers in Computational Neuroscience 12, 46, 2018 | 72 | 2018 |
| Bioinspired Networks with Nanoscale Memristive Devices that Combine the Unsupervised and Supervised Learning Approaches D Querlioz, W Zhao, P Dollfus, JO Klein, O Bichler, C Gamrat Nanoscale Architectures (NANOARCH), 2012 IEEE/ACM International Symposium on, 2012 | 60 | 2012 |
| Spiking Neural Networks based on OxRAM Synapses for Real-time Unsupervised Spike Sorting T Werner, E Vianello, O Bichler, D Garbin, D Cattaert, B Yvert, B De Salvo, ... Frontiers in Neuroscience 10, 2016 | 59 | 2016 |
| Learning with memristive devices: How should we model their behavior? D Querlioz, P Dollfus, O Bichler, C Gamrat Nanoscale Architectures (NANOARCH), 2011 IEEE/ACM International Symposium on …, 2011 | 52 | 2011 |
| Fully Integrated Spiking Neural Network with Analog Neurons and RRAM Synapses A Valentian, F Rummens, E Vianello, T Mesquida, CLM de Boissac, ... 2019 IEEE International Electron Devices Meeting (IEDM), 14.3. 1-14.3. 4, 2019 | 50 | 2019 |
Christian GamratCEA, LISTAdresse e-mail validée de cea.fr
