| Biological underpinnings for lifelong learning machines D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ... Nature Machine Intelligence 4 (3), 196-210, 2022 | 145 | 2022 |
| SIRNet: understanding social distancing measures with hybrid neural network model for COVID-19 infectious spread N Soures, D Chambers, Z Carmichael, A Daram, DP Shah, K Clark, ... arXiv preprint arXiv:2004.10376, 2020 | 46 | 2020 |
| Deep liquid state machines with neural plasticity for video activity recognition N Soures, D Kudithipudi Frontiers in neuroscience 13, 457929, 2019 | 46 | 2019 |
| Neuromemristive systems: boosting efficiency through brain-inspired computing C Merkel, R Hasan, N Soures, D Kudithipudi, T Taha, S Agarwal, ... Computer 49 (10), 56-64, 2016 | 34 | 2016 |
| Robustness of a memristor based liquid state machine N Soures, L Hays, D Kudithipudi 2017 international joint conference on neural networks (ijcnn), 2414-2420, 2017 | 30 | 2017 |
| Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks AM Zyarah, N Soures, L Hays, RB Jacobs-Gedrim, S Agarwal, ... 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 26 | 2017 |
| Digital neuromorphic design of a liquid state machine for real-time processing A Polepalli, N Soures, D Kudithipudi 2016 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2016 | 25 | 2016 |
| Reconfigurable digital design of a liquid state machine for spatio-temporal data A Polepalli, N Soures, D Kudithipudi Proceedings of the 3rd ACM International Conference on Nanoscale Computing …, 2016 | 16 | 2016 |
| Tacos: task agnostic continual learning in spiking neural networks N Soures, P Helfer, A Daram, T Pandit, D Kudithipudi Theory and Foundation of Continual Learning Workshop at ICML’2021, 2021 | 11 | 2021 |
| Reservoir computing in embedded systems: Three variants of the reservoir algorithm N Soures, C Merkel, D Kudithipudi, C Thiem, N McDonald IEEE Consumer Electronics Magazine 6 (3), 67-73, 2017 | 11 | 2017 |
| On-device STDP and synaptic normalization for neuromemristive spiking neural network N Soures, L Hays, E Bohannon, AM Zyarah, D Kudithipudi 2017 IEEE 60th International Midwest Symposium on Circuits and Systems …, 2017 | 10 | 2017 |
| Neuro-MMI: a hybrid photonic-electronic machine learning platform N Soures, J Steidle, S Preble, D Kudithipudi 2018 IEEE Photonics Society Summer Topical Meeting Series (SUM), 187-188, 2018 | 9 | 2018 |
| Spiking reservoir networks: brain-inspired recurrent algorithms that use random, fixed synaptic strengths N Soures, D Kudithipudi IEEE Signal Processing Magazine 36 (6), 78-87, 2019 | 7 | 2019 |
| Approximating large scale arbitrary unitaries with integrated multimode interferometers M Van Niekerk, JA Steidle, GA Howland, ML Fanto, N Soures, FT Zohora, ... Quantum Information Science, Sensing, and Computation XI 10984, 146-152, 2019 | 7 | 2019 |
| Deep liquid state machines with neural plasticity and on-device learning NM Soures Rochester Institute of Technology, 2017 | 7 | 2017 |
| Metaplasticity in multistate memristor synaptic networks FT Zohora, AM Zyarah, N Soures, D Kudithipudi 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 6 | 2020 |
| On-device learning in memristor spiking neural networks AM Zyarah, N Soures, D Kudithipudi 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 6 | 2018 |
| Scolar: A spiking digital accelerator with dual fixed point for continual learning V Karia, FT Zohora, N Soures, D Kudithipudi 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 1372-1376, 2022 | 5 | 2022 |
| Enabling on-device learning with deep spiking neural networks for speech recognition N Soures, D Kudithipudi, RB Jacobs-Gedrim, S Agarwal, M Marinella ECS Transactions 85 (6), 127, 2018 | 4 | 2018 |
| How Neural Plasticity Boosts Performance of Spiking Neural Networks. N Soures, A Zyarah, KD Carlson, JB Aimone, D Kudithipudi Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | 4 | 2017 |
