| The building blocks of a brain-inspired computer JD Kendall, S Kumar Applied Physics Reviews 7 (1), 2020 | 229 | 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 | 104 | 2020 |
| 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 | 94 | 2023 |
| Memristive nanofiber neural networks JC Nino, J Kendall US Patent 10,198,691, 2019 | 37 | 2019 |
| Systems and methods for efficient matrix multiplication J Kendall US Patent 10,430,493, 2019 | 23 | 2019 |
| Energy-based learning algorithms for analog computing: a comparative study B Scellier, M Ernoult, J Kendall, S Kumar Advances in Neural Information Processing Systems 36, 52705-52731, 2023 | 22 | 2023 |
| Memristive nanowires exhibit small-world connectivity RD Pantone, JD Kendall, JC Nino Neural Networks 106, 144-151, 2018 | 22 | 2018 |
| 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 | 19 | 2018 |
| Deep learning in bipartite memristive networks JD Kendall, JC Nino, LE Suarez US Patent App. 18/138,984, 2023 | 7 | 2023 |
| Simplified sol-gel processing method for amorphous TiOx Memristors E Nassar Moreira, J Kendall, H Maruyama, JC Nino Journal of Electroceramics 44 (1), 52-58, 2020 | 7 | 2020 |
| A gradient estimator for time-varying electrical networks with non-linear dissipation J Kendall arXiv preprint arXiv:2103.05636, 2021 | 6 | 2021 |
| Energy-based learning algorithms: A comparative study B Scellier, M Ernoult, J Kendall, S Kumar ICML Workshop on Localized Learning (LLW), 2023 | 4 | 2023 |
| Deep learning in memristive nanowire networks JD Kendall, RD Pantone, JC Nino arXiv preprint arXiv:2003.02642, 2020 | 4 | 2020 |
| Training end-to-end analog neural networks with equilibrium propagation. arXiv 2020 J Kendall, R Pantone, K Manickavasagam, Y Bengio, B Scellier arXiv preprint arXiv:2006.01981, 2006 | 4 | 2006 |
| Memristive device JD Kendall, S Kumar, N Gaur US Patent 11,450,712, 2022 | 3 | 2022 |
| Memristive nanofiber neural networks JC Nino, J Kendall US Patent 11,055,614, 2021 | 3 | 2021 |
| Memristive nanofiber neural networks JC Nino, J Kendall US Patent 10,614,358, 2020 | 3 | 2020 |
| 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), 2020 | 2 | 2020 |
| Deep learning in bipartite memristive networks JD Kendall, JC Nino, LE Suarez US Patent App. 15/985,212, 2018 | 1 | 2018 |
| Systems and methods for efficient matrix multiplication JD Kendall US Patent 12,223,009, 2025 | | 2025 |