| Neuromorphic silicon neuron circuits G Indiveri, B Linares-Barranco, TJ Hamilton, A Schaik, ... Frontiers in neuroscience 5, 73, 2011 | 1695 | 2011 |
| Learning through ferroelectric domain dynamics in solid-state synapses S Boyn, J Grollier, G Lecerf, B Xu, N Locatelli, S Fusil, S Girod, ... Nature communications 8 (1), 14736, 2017 | 570 | 2017 |
| 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 | 274 | 2015 |
| Real-time biomimetic central pattern generators in an FPGA for hybrid experiments M Ambroise, T Levi, S Joucla, B Yvert, S Saïghi Frontiers in neuroscience 7, 215, 2013 | 98 | 2013 |
| Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks S Renaud, J Tomas, Y Bornat, A Daouzli, S Saïghi 2007 IEEE International Symposium on Circuits and Systems (ISCAS), 3355-3358, 2007 | 96 | 2007 |
| A library of analog operators based on the Hodgkin-Huxley formalism for the design of tunable, real-time, silicon neurons S Saighi, Y Bornat, J Tomas, G Le Masson, S Renaud IEEE transactions on biomedical circuits and systems 5 (1), 3-19, 2010 | 72 | 2010 |
| Tunable neuromimetic integrated system for emulating cortical neuron models F Grassia, L Buhry, T Lévi, J Tomas, A Destexhe, S Saïghi Frontiers in NEUROSCIENCE 5, 134, 2011 | 59 | 2011 |
| Automated parameter estimation of the Hodgkin-Huxley model using the differential evolution algorithm: application to neuromimetic analog integrated circuits L Buhry, F Grassia, A Giremus, E Grivel, S Renaud, S Saïghi Neural computation 23 (10), 2599-2625, 2011 | 59 | 2011 |
| Neuromorphic silicon neuron circuits Front G Indiveri, B Linares-Barranco, TJ Hamilton, A Van Schaik, ... Neurosci 5, 1-23, 2011 | 59 | 2011 |
| Biorealistic spiking neural network on FPGA M Ambroise, T Levi, Y Bornat, S Saighi 2013 47th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2013 | 57 | 2013 |
| Real-time simulation of biologically realistic stochastic neurons in VLSI H Chen, S Saighi, L Buhry, S Renaud IEEE Transactions on Neural Networks 21 (9), 1511-1517, 2010 | 55 | 2010 |
| Multilayer spintronic neural networks with radiofrequency connections A Ross, N Leroux, A De Riz, D Marković, D Sanz-Hernández, J Trastoy, ... Nature Nanotechnology 18 (11), 1273-1280, 2023 | 54 | 2023 |
| Generation of locomotor-like activity in the isolated rat spinal cord using intraspinal electrical microstimulation driven by a digital neuromorphic CPG S Joucla, M Ambroise, T Levi, T Lafon, P Chauvet, S Saïghi, Y Bornat, ... Frontiers in neuroscience 10, 67, 2016 | 51 | 2016 |
| Optimized real-time biomimetic neural network on FPGA for bio-hybridization F Khoyratee, F Grassia, S Saïghi, T Levi Frontiers in neuroscience 13, 377, 2019 | 45 | 2019 |
| Global parameter estimation of an Hodgkin–Huxley formalism using membrane voltage recordings: Application to neuro-mimetic analog integrated circuits L Buhry, M Pace, S Saïghi Neurocomputing 81, 75-85, 2012 | 44 | 2012 |
| Digital implementation of Hodgkin–Huxley neuron model for neurological diseases studies T Levi, F Khoyratee, S Saïghi, Y Ikeuchi Artificial Life and Robotics 23, 10-14, 2018 | 43 | 2018 |
| Silicon neuron: digital hardware implementation of the quartic model F Grassia, T Levi, T Kohno, S Saïghi Artificial Life and Robotics 19, 215-219, 2014 | 42 | 2014 |
| Hardware computation of conductance-based neuron models L Alvado, J Tomas, S Saıghi, S Renaud, T Bal, A Destexhe, G Le Masson Neurocomputing 58, 109-115, 2004 | 40 | 2004 |
| PAX: A mixed hardware/software simulation platform for spiking neural networks S Renaud, J Tomas, N Lewis, Y Bornat, A Daouzli, M Rudolph, ... Neural Networks 23 (7), 905-916, 2010 | 34 | 2010 |
| Excitatory and inhibitory memristive synapses for spiking neural networks G Lecerf, J Tomas, S Saïghi 2013 IEEE International Symposium on Circuits and Systems (ISCAS), 1616-1619, 2013 | 33 | 2013 |
