| Opportunities for neuromorphic computing algorithms and applications CD Schuman, SR Kulkarni, M Parsa, JP Mitchell, P Date, B Kay Nature Computational Science 2 (1), 10-19, 2022 | 769 | 2022 |
| Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization SR Kulkarni, B Rajendran Neural Networks 103, 118-127, 2018 | 197 | 2018 |
| A review of non-cognitive applications for neuromorphic computing JB Aimone, P Date, GA Fonseca-Guerra, KE Hamilton, K Henke, B Kay, ... Neuromorphic Computing and Engineering 2 (3), 032003, 2022 | 58 | 2022 |
| Building brain-inspired computing systems: Examining the role of nanoscale devices SR Nandakumar, SR Kulkarni, AV Babu, B Rajendran IEEE Nanotechnology Magazine 12 (3), 19-35, 2018 | 48 | 2018 |
| Benchmarking the performance of neuromorphic and spiking neural network simulators SR Kulkarni, M Parsa, JP Mitchell, CD Schuman Neurocomputing 447, 145-160, 2021 | 30 | 2021 |
| Neuromorphic computing for autonomous racing R Patton, C Schuman, S Kulkarni, M Parsa, JP Mitchell, NQ Haas, C Stahl, ... International conference on neuromorphic systems 2021, 1-5, 2021 | 26 | 2021 |
| Evolutionary vs imitation learning for neuromorphic control at the edge C Schuman, R Patton, S Kulkarni, M Parsa, C Stahl, NQ Haas, JP Mitchell, ... Neuromorphic Computing and Engineering 2 (1), 014002, 2022 | 22 | 2022 |
| Neuromorphic hardware accelerator for SNN inference based on STT-RAM crossbar arrays SR Kulkarni, DV Kadetotad, S Yin, JS Seo, B Rajendran 2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019 | 21 | 2019 |
| Spiking neural networks—Algorithms, hardware implementations and applications SR Kulkarni, AV Babu, B Rajendran 2017 IEEE 60th International Midwest Symposium on Circuits and Systems …, 2017 | 17 | 2017 |
| A software framework for comparing training approaches for spiking neuromorphic systems CD Schuman, JS Plank, M Parsa, SR Kulkarni, N Skuda, JP Mitchell 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 14 | 2021 |
| Semi-supervised graph structure learning on neuromorphic computers G Cong, SH Lim, S Kulkarni, P Date, T Potok, S Snyder, M Parsa, ... Proceedings of the International Conference on Neuromorphic Systems 2022, 1-4, 2022 | 11 | 2022 |
| Learning and real-time classification of hand-written digits with spiking neural networks SR Kulkarni, JM Alexiades, B Rajendran 2017 24th IEEE International Conference on Electronics, Circuits and Systems …, 2017 | 11 | 2017 |
| An on-chip learning accelerator for spiking neural networks using stt-ram crossbar arrays SR Kulkarni, S Yin, J Seo, B Rajendran 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 10 | 2020 |
| On-sensor data filtering using neuromorphic computing for high energy physics experiments S R. Kulkarni, A Young, P Date, N Rao Miniskar, J Vetter, F Fahim, ... Proceedings of the 2023 International Conference on Neuromorphic Systems, 1-8, 2023 | 9 | 2023 |
| Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning J Yoo, J Dickinson, M Swartz, G Di Guglielmo, A Bean, D Berry, ... Machine Learning: Science and Technology 5 (3), 035047, 2024 | 8 | 2024 |
| Multi-objective hyperparameter optimization for spiking neural network neuroevolution M Parsa, SR Kulkarni, M Coletti, J Bassett, JP Mitchell, CD Schuman 2021 IEEE Congress on Evolutionary Computation (CEC), 1225-1232, 2021 | 8 | 2021 |
| Training spiking neural networks with synaptic plasticity under integer representation S Kulkarni, M Parsa, JP Mitchell, C Schuman International Conference on Neuromorphic Systems 2021, 1-7, 2021 | 7 | 2021 |
| Avoiding excess computation in asynchronous evolutionary algorithms EO Scott, M Coletti, CD Schuman, B Kay, SR Kulkarni, M Parsa, ... Expert Systems 40 (5), e13100, 2023 | 6 | 2023 |
| Evolving ensembles of spiking neural networks for neuromorphic systems D Elbrecht, SR Kulkarni, M Parsa, JP Mitchell, CD Schuman 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1989-1994, 2020 | 5 | 2020 |
| Scalable digital CMOS architecture for spike based supervised learning SR Kulkarni, B Rajendran International Conference on Engineering Applications of Neural Networks, 149-158, 2015 | 5 | 2015 |
