| Slayer: Spike layer error reassignment in time SB Shrestha, G Orchard Advances in neural information processing systems 31, 2018 | 872 | 2018 |
| Efficient neuromorphic signal processing with loihi 2 G Orchard, EP Frady, DBD Rubin, S Sanborn, SB Shrestha, FT Sommer, ... 2021 IEEE Workshop on Signal Processing Systems (SiPS), 254-259, 2021 | 188 | 2021 |
| Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing E Ceolini, C Frenkel, SB Shrestha, G Taverni, L Khacef, M Payvand, ... Frontiers in neuroscience 14, 637, 2020 | 175 | 2020 |
| Event-based angular velocity regression with spiking networks M Gehrig, SB Shrestha, D Mouritzen, D Scaramuzza 2020 IEEE International Conference on Robotics and Automation (ICRA), 4195-4202, 2020 | 98 | 2020 |
| Adaptive learning rate of SpikeProp based on weight convergence analysis SB Shrestha, Q Song Neural Networks 63, 185-198, 2015 | 66 | 2015 |
| Online few-shot gesture learning on a neuromorphic processor K Stewart, G Orchard, SB Shrestha, E Neftci IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (4 …, 2020 | 49 | 2020 |
| Kernel online learning with adaptive kernel width H Fan, Q Song, SB Shrestha Neurocomputing 175, 233-242, 2016 | 40 | 2016 |
| On-chip few-shot learning with surrogate gradient descent on a neuromorphic processor K Stewart, G Orchard, SB Shrestha, E Neftci 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 35 | 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 | 28 | 2021 |
| Robustness to training disturbances in SpikeProp learning SB Shrestha, Q Song IEEE transactions on neural networks and learning systems 29 (7), 3126-3139, 2017 | 28 | 2017 |
| The intel neuromorphic DNS challenge J Timcheck, SB Shrestha, DBD Rubin, A Kupryjanow, G Orchard, L Pindor, ... Neuromorphic Computing and Engineering 3 (3), 034005, 2023 | 26 | 2023 |
| Robust spike-train learning in spike-event based weight update SB Shrestha, Q Song Neural Networks 96, 33-46, 2017 | 25 | 2017 |
| Robust learning in SpikeProp SB Shrestha, Q Song Neural Networks 86, 54-68, 2017 | 21 | 2017 |
| Online learning with kernel regularized least mean square algorithms H Fan, Q Song, SB Shrestha Knowledge-Based Systems 59, 21-32, 2014 | 18 | 2014 |
| Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G …, 2023 | 15 | 2023 |
| A 2.1 pJ/SOP 40nm SNN accelerator featuring on-chip transfer learning using Delta STDP MM Wong, SB Shrestha, VP Nambiar, A Mani, YK Lee, EK Koh, W Jiang, ... ESSDERC 2021-IEEE 51st European Solid-State Device Research Conference …, 2021 | 15 | 2021 |
| Efficient video and audio processing with Loihi 2 SB Shrestha, J Timcheck, P Frady, L Campos-Macias, M Davies ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 14 | 2024 |
| Efficient Neuromorphic Signal Processing with Resonator Neurons EP Frady, S Sanborn, SB Shrestha, DBD Rubin, G Orchard, FT Sommer, ... Journal of Signal Processing Systems, 2022 | 14 | 2022 |
| Adaptive delay learning in SpikeProp based on delay convergence analysis SB Shrestha, Q Song 2016 International Joint Conference on Neural Networks (IJCNN), 277-284, 2016 | 13 | 2016 |
| Weight Convergence of SpikeProp and Adaptive Learning Rate SB Shrestha, Q Song Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton …, 2013 | 12 | 2013 |
