| Avalanches and edge-of-chaos learning in neuromorphic nanowire networks J Hochstetter, R Zhu, A Loeffler, A Diaz-Alvarez, T Nakayama, Z Kuncic Nature Communications 12 (1), 4008, 2021 | 125 | 2021 |
| Topological properties of neuromorphic nanowire networks A Loeffler, R Zhu, J Hochstetter, M Li, K Fu, A Diaz-Alvarez, T Nakayama, ... Frontiers in Neuroscience 14, 184, 2020 | 47 | 2020 |
| Reservoir computing with neuromemristive nanowire networks K Fu, R Zhu, A Loeffler, J Hochstetter, A Diaz-Alvarez, A Stieg, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 43 | 2020 |
| Dynamic electrical pathway tuning in neuromorphic nanowire networks Q Li, A Diaz‐Alvarez, R Iguchi, J Hochstetter, A Loeffler, R Zhu, ... Advanced Functional Materials 30 (43), 2003679, 2020 | 41 | 2020 |
| Information dynamics in neuromorphic nanowire networks R Zhu, J Hochstetter, A Loeffler, A Diaz-Alvarez, T Nakayama, JT Lizier, ... Scientific reports 11 (1), 13047, 2021 | 37 | 2021 |
| Neuromorphic learning, working memory, and metaplasticity in nanowire networks A Loeffler, A Diaz-Alvarez, R Zhu, N Ganesh, JM Shine, T Nakayama, ... Science Advances 9 (16), eadg3289, 2023 | 29 | 2023 |
| Modularity and multitasking in neuro-memristive reservoir networks A Loeffler, R Zhu, J Hochstetter, A Diaz-Alvarez, T Nakayama, JM Shine, ... Neuromorphic Computing and Engineering 1 (1), 014003, 2021 | 29 | 2021 |
| Nanoscale neuromorphic networks and criticality: a perspective CS Dunham, S Lilak, J Hochstetter, A Loeffler, R Zhu, C Chase, AZ Stieg, ... Journal of Physics: Complexity 2 (4), 042001, 2021 | 22 | 2021 |
| Neuromorphic information processing with nanowire networks Z Kuncic, O Kavehei, R Zhu, A Loeffler, K Fu, J Hochstetter, M Li, ... 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 22 | 2020 |
| Harnessing adaptive dynamics in neuro-memristive nanowire networks for transfer learning R Zhu, J Hochstetter, A Loeffler, A Diaz-Alvarez, A Stieg, J Gimzewski, ... 2020 International Conference on Rebooting Computing (ICRC), 102-106, 2020 | 15 | 2020 |
| MNIST classification using neuromorphic nanowire networks R Zhu, A Loeffler, J Hochstetter, A Diaz-Alvarez, T Nakayama, A Stieg, ... International Conference on Neuromorphic Systems 2021, 1-4, 2021 | 12 | 2021 |
| Inspirals into a charged black hole R Zhu, T Osburn Physical Review D 97 (10), 104058, 2018 | 9 | 2018 |
| Online dynamical learning and sequence memory with neuromorphic nanowire networks R Zhu, S Lilak, A Loeffler, J Lizier, A Stieg, J Gimzewski, Z Kuncic Nature Communications 14 (1), 6697, 2023 | 4 | 2023 |
| Memristive reservoirs learn to learn R Zhu, J Eshraghian, Z Kuncic Proceedings of the 2023 International Conference on Neuromorphic Systems, 1-7, 2023 | 1 | 2023 |
| Avalanches and the edge-of-chaos in neuromorphic nanowire networks JT Hochstetter | 1 | 2021 |
| Ergodicity, lack thereof, and the performance of reservoir computing with memristive networks V Baccetti, R Zhu, Z Kuncic, F Caravelli Nano Express, 2024 | | 2024 |
| Ballistic deposition with memory: a new universality class of surface growth with a new scaling law A Roman, R Zhu, I Nemenman arXiv preprint arXiv:2202.11224, 2022 | | 2022 |
| Gravitational Waves from Charged-Black Hole Binaries J Burton, R Zhu, T Osburn APS April Meeting Abstracts 2019, L16. 009, 2019 | | 2019 |
| Knowledge Distillation Through Time For Future Event Prediction S Gunasekaran, J Eshraghian, R Zhu, Z Kuncic The Second Tiny Papers Track at ICLR 2024, 0 | | |
Zdenka KuncicUniversity of SydneyPotvrđena adresa e-pošte na sydney.edu.au
