| The building blocks of a brain-inspired computer JD Kendall, S Kumar Applied Physics Reviews 7 (1), 2020 | 163 | 2020 |
| Training end-to-end analog neural networks with equilibrium propagation J Kendall, R Pantone, K Manickavasagam, Y Bengio, B Scellier arXiv preprint arXiv:2006.01981, 2020 | 64 | 2020 |
| Memristive nanofiber neural networks JC Nino, J Kendall US Patent 10,198,691, 2019 | 28 | 2019 |
| Memristive nanowires exhibit small-world connectivity RD Pantone, JD Kendall, JC Nino Neural Networks 106, 144-151, 2018 | 21 | 2018 |
| Activity-difference training of deep neural networks using memristor crossbars S Yi, JD Kendall, RS Williams, S Kumar Nature Electronics 6 (1), 45-51, 2023 | 16 | 2023 |
| Evaluation of the computational capabilities of a memristive random network (MN3) under the context of reservoir computing LE Suarez, JD Kendall, JC Nino Neural Networks 106, 223-236, 2018 | 14 | 2018 |
| Systems and methods for efficient matrix multiplication J Kendall US Patent 10,430,493, 2019 | 13 | 2019 |
| Deep learning in memristive nanowire networks JD Kendall, RD Pantone, JC Nino arXiv preprint arXiv:2003.02642, 2020 | 5 | 2020 |
| A gradient estimator for time-varying electrical networks with non-linear dissipation J Kendall arXiv preprint arXiv:2103.05636, 2021 | 4 | 2021 |
| Simplified sol-gel processing method for amorphous TiOx Memristors E Nassar Moreira, J Kendall, H Maruyama, JC Nino Journal of Electroceramics 44 (1-2), 52-58, 2020 | 3 | 2020 |
| Deep learning in bipartite memristive networks JD Kendall, JC Nino, LE Suarez US Patent App. 15/985,212, 2018 | 3 | 2018 |
| Learning algorithms for oscillatory memristive neuromorphic circuits JD Kendall, JC Nino US Patent App. 16/345,551, 2019 | 2 | 2019 |
| Energy-Based Learning Algorithms: A Comparative Study B Scellier, M Ernoult, J Kendall, S Kumar ICML Workshop on Localized Learning (LLW), 2023 | 1 | 2023 |
| Memristive nanofiber neural networks JC Nino, J Kendall US Patent App. 17/342,096, 2021 | 1 | 2021 |
| Publisher's Note: “The building blocks of a brain-inspired computer” [Appl. Phys. Rev. 7, 011305 (2020)] JD Kendall, S Kumar Applied Physics Reviews 7 (2), 029901, 2020 | 1 | 2020 |
| Energy-based learning algorithms for analog computing: a comparative study B Scellier, M Ernoult, J Kendall, S Kumar Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
| Deep learning in bipartite memristive networks JD Kendall, JC Nino, LE Suarez US Patent App. 18/138,984, 2023 | | 2023 |
| Lithographic memristive array S Kumar, JD Kendall, AA Conklin US Patent App. 18/093,269, 2023 | | 2023 |
| Local training of neural networks S Kumar, AA Conklin, JD Kendall US Patent App. 17/977,991, 2023 | | 2023 |
| Learning in time varying, dissipative electrical networks JD Kendall US Patent App. 18/077,184, 2023 | | 2023 |
