| Training spiking neural networks using lessons from deep learning JK Eshraghian, M Ward, EO Neftci, X Wang, G Lenz, G Dwivedi, ... Proceedings of the IEEE, 2023 | 631 | 2023 |
| The developing human connectome project neonatal data release AD Edwards, D Rueckert, SM Smith, S Abo Seada, A Alansary, J Almalbis, ... Frontiers in neuroscience 16, 886772, 2022 | 109 | 2022 |
| Event-based face detection and tracking using the dynamics of eye blinks G Lenz, SH Ieng, R Benosman Frontiers in Neuroscience 14, 587, 2020 | 64* | 2020 |
| Tonic: event-based datasets and transformations G Lenz, K Chaney, SB Shrestha, O Oubari, S Picaud, G Zarrella Documentation available under https://tonic. readthedocs. io, 2021 | 44* | 2021 |
| Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing JE Pedersen, S Abreu, M Jobst, G Lenz, V Fra, FC Bauer, DR Muir, ... Nature Communications 15 (1), 8122, 2024 | 29 | 2024 |
| Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... arXiv 2023, 2304.04640 v2, 2023 | 23 | 2023 |
| The neurobench framework for benchmarking neuromorphic computing algorithms and systems J Yik, K Van den Berghe, D den Blanken, Y Bouhadjar, M Fabre, ... Nature Communications 16 (1), 1545, 2025 | 20 | 2025 |
| Exodus: Stable and efficient training of spiking neural networks FC Bauer, G Lenz, S Haghighatshoar, S Sheik Frontiers in Neuroscience 17, 1110444, 2023 | 18 | 2023 |
| Adversarial attacks on spiking convolutional neural networks for event-based vision J Büchel, G Lenz, Y Hu, S Sheik, M Sorbaro Frontiers in Neuroscience 16, 1068193, 2022 | 18* | 2022 |
| Training spiking neural networks using lessons from deep learning. arXiv JK Eshraghian, M Ward, E Neftci, X Wang, G Lenz, G Dwivedi, ... arXiv preprint arXiv:2109.12894, 2021 | 11 | 2021 |
| Event-based visual gesture recognition with background suppression running on a smart-phone JM Maro, G Lenz, C Reeves, R Benosman 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 11 | 2019 |
| A sampling-based approach for efficient clustering in large datasets G Exarchakis, O Oubari, G Lenz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| A mixed-signal spatio-temporal signal classifier for on-sensor spike sorting G Haessig, DG Lesta, G Lenz, R Benosman, P Dudek 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 7 | 2020 |
| Efficient spatio-temporal feature clustering for large event-based datasets O Oubari, G Exarchakis, G Lenz, R Benosman, SH Ieng Neuromorphic Computing and Engineering 2 (4), 044004, 2022 | 1 | 2022 |
| A Framework for Event-based Computer Vision on a Mobile Device G Lenz, S Picaud, SH Ieng arXiv preprint arXiv:2205.06836, 2022 | 1 | 2022 |
| Neuromorphic algorithms and hardware for event-based processing G Lenz Sorbonne Université, 2021 | 1 | 2021 |
| Four-dimensional (space and time) lightning reconstruction with Neuromorphic event cameras A Marcireau, G Lenz, P Kirkland, A Wabnitz, N Ralph, SN Qadri, ... AGU24, 2024 | | 2024 |
| Low-power Ship Detection in Satellite Images Using Neuromorphic Hardware G Lenz, D McLelland arXiv preprint arXiv:2406.11319, 2024 | | 2024 |
| Ultra-low-power Image Classification on Neuromorphic Hardware G Lenz, G Orchard, S Sheik arXiv preprint arXiv:2309.16795, 2023 | | 2023 |
| REGULAR PAPERS ISSUE JK Eshraghian, M Ward, EO Neftci, X Wang, G Lenz, G Dwivedi, ... | | |
Jason K. EshraghianUniversity of California, Santa Cruz, Assistant Professorucsc.edu üzerinde doğrulanmış e-posta adresine sahip