| A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses N Qiao, H Mostafa, F Corradi, M Osswald, F Stefanini, D Sumislawska, ... Frontiers in neuroscience 9, 141, 2015 | 794 | 2015 |
| NullHop: A flexible convolutional neural network accelerator based on sparse representations of feature maps A Aimar, H Mostafa, E Calabrese, A Rios-Navarro, R Tapiador-Morales, ... IEEE transactions on neural networks and learning systems 30 (3), 644-656, 2018 | 334 | 2018 |
| Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks B Yin, F Corradi, SM Bohté Nature Machine Intelligence 3 (10), 905-913, 2021 | 229 | 2021 |
| Neuromorphic architectures for spiking deep neural networks G Indiveri, F Corradi, N Qiao 2015 IEEE International Electron Devices Meeting (IEDM), 4.2. 1-4.2. 4, 2015 | 201 | 2015 |
| A neuromorphic event-based neural recording system for smart brain-machine-interfaces F Corradi, G Indiveri IEEE transactions on biomedical circuits and systems 9 (5), 699-709, 2015 | 144 | 2015 |
| Steering a predator robot using a mixed frame/event-driven convolutional neural network DP Moeys, F Corradi, E Kerr, P Vance, G Das, D Neil, D Kerr, T Delbrück 2016 Second international conference on event-based control, communication …, 2016 | 139 | 2016 |
| μBrain: An event-driven and fully synthesizable architecture for spiking neural networks J Stuijt, M Sifalakis, A Yousefzadeh, F Corradi Frontiers in neuroscience 15, 664208, 2021 | 135 | 2021 |
| Effective and efficient computation with multiple-timescale spiking recurrent neural networks B Yin, F Corradi, SM Bohté International Conference on Neuromorphic Systems 2020, 1-8, 2020 | 126 | 2020 |
| A sensitive dynamic and active pixel vision sensor for color or neural imaging applications DP Moeys, F Corradi, C Li, SA Bamford, L Longinotti, FF Voigt, S Berry, ... IEEE transactions on biomedical circuits and systems 12 (1), 123-136, 2017 | 110 | 2017 |
| DHP19: Dynamic vision sensor 3D human pose dataset E Calabrese, G Taverni, C Awai Easthope, S Skriabine, F Corradi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 95 | 2019 |
| Live demonstration: Convolutional neural network driven by dynamic vision sensor playing RoShamBo IA Lungu, F Corradi, T Delbrück 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-1, 2017 | 72 | 2017 |
| ECG-based heartbeat classification in neuromorphic hardware F Corradi, S Pande, J Stuijt, N Qiao, S Schaafsma, G Indiveri, F Catthoor 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 68 | 2019 |
| Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time B Yin, F Corradi, SM Bohté Nature Machine Intelligence, 1-10, 2023 | 61 | 2023 |
| A 132 by 104 10μm-Pixel 250μW 1kefps dynamic vision sensor with pixel-parallel noise and spatial redundancy suppression C Li, L Longinotti, F Corradi, T Delbruck 2019 Symposium on VLSI Circuits, C216-C217, 2019 | 60 | 2019 |
| Wearable monitoring and interpretable machine learning can objectively track progression in patients during cardiac rehabilitation H De Cannière, F Corradi, CJP Smeets, M Schoutteten, C Varon, ... Sensors 20 (12), 3601, 2020 | 57 | 2020 |
| Key technologies for safe and autonomous drones M Hussein, R Nouacer, F Corradi, Y Ouhammou, E Villar, C Tieri, ... Microprocessors and Microsystems 87, 104348, 2021 | 47 | 2021 |
| Improving the accuracy of spiking neural networks for radar gesture recognition through preprocessing A Safa, F Corradi, L Keuninckx, I Ocket, A Bourdoux, F Catthoor, ... IEEE Transactions on Neural Networks and Learning Systems 34 (6), 2869-2881, 2021 | 47 | 2021 |
| An Implantable Neuromorphic Sensing System Featuring Near-Sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves Y He, F Corradi, C Shi, S Ven, M Timmermans, J Stuijt, P Detterer, ... IEEE Journal of Solid-State Circuits, 1-13, 2022 | 46 | 2022 |
| Power-accuracy trade-offs for heartbeat classification on neural networks hardware A Balaji, F Corradi, A Das, S Pande, S Schaafsma, F Catthoor Journal of low power electronics 14 (4), 508-519, 2018 | 46 | 2018 |
| Radar-based hand gesture recognition using spiking neural networks IJ Tsang, F Corradi, M Sifalakis, W Van Leekwijck, S Latré Electronics 10 (12), 1405, 2021 | 42 | 2021 |
Giacomo IndiveriInstitute of Neuroinformatics, University of Zurich and ETH ZurichVerified email at ini.uzh.ch