Publications
Journals
- Baccetti, V., Zhu, R., Kuncic, Z., Caravelli, F., 2024. Ergodicity, lack thereof, and the performance of reservoir computing with memristive networks, Nano Express 5, 015021.
- Zhu, R.† , Lilak, S.†, Loeffler, A., Lizier, J., Stieg, A., Gimzewski, J., Kuncic, Z., 2023. Online dynamical learning and sequence memory in neuromorphic nanowire networks, Nature Communications 14, 6697 (Featured in Editor’s Highlight).
- Loeffler, A.†, Diaz-Alvarez, A.†, Zhu, R., Ganesh, N., Shine, J.M., Nakayama, T., Kuncic, Z., 2023. Neuromorphic learning, working memory, and metaplasticity in nanowire networks, Science Advances 9, eadg3289.
- Dunham, C. S., Lilak, S., Hochstetter, J., Loeffler, A., Zhu, R., Chase, C., Stieg, A. Z., Kuncic, Z., Gimzewski, J.K., 2021. Nanoscale neuromorphic networks and criticality: a perspective, Journal of Physics: Complexity 2, 042001.
- Loeffler, A., Zhu, R., Hochstetter, J., Diaz-Alvarez, A., Nakayama, T., Shine, J. M., Kuncic, Z., 2021. Modularity and multitasking in neuro-memristive reservoir networks, Neuromorphic Computing and Engineering 1, 014003.
- Hochstetter, J., Zhu, R., Loeffler, A., Diaz-Alvarez, A., Nakayama, T., Kuncic, Z., 2021. Avalanches and edge-of-chaos learning in neuromorphic nanowire networks, Nature Communications 12, 4008.
- Zhu, R., Hochstetter, J., Loeffler, A.,Diaz-Alvarez, A., Nakayama, T., Lizier, J. T., Kuncic, Z., 2021. Information dynamics in neuromorphic nanowire networks, Scientific Reports 11, 13047.
- Li, Q., Diaz-Alvarez, A., Iguchi, R., Hochstetter, J., Loeffler, A., Zhu, R., Shingaya, Y., Kuncic, Z., Uchida, K., Nakayama, T., 2020. Dynamic Electrical Pathway Tuning in Neuromorphic Nanowire Networks, Advanced Functional Materials 30, 2003679.
- Loeffler, A., Zhu, R., Hochstetter, J., Li, M., Fu, K., Diaz-Alvarez, A., Nakayama, T., Shine, J. M., Kuncic, Z., 2020. Topological Properties of Neuromorphic Nanowire Networks, Frontiers in Neuroscience 14, 184.
- Zhu, R., Osburn, T., 2018. Inspirals into a charged black hole, Physical Review D 97, 104058.
†: Equal contributions.
Conference Proceedings
- Zhu, R., Eshraghian, J., Kuncic, Z., 2023. Memristive Reservoirs Learn to Learn, Proceedings of the 2023 International Conference on Neuromorphic Systems (ICONS 2023).
- Zhu, R., Loeffler, A., Hochstetter, J., Diaz-Alvarez, A., Nakayama, T., Stieg, A., Gimzewski, J., Lizier, J., Kuncic, Z., 2021. MNIST classification using Neuromorphic Nanowire Networks, Proceedings of the 2021 International Conference on Neuromorphic Systems (ICONS 2021).
- Zhu, R., Hochstetter, J., Loeffler, A., Diaz-Alvarez, A., Stieg, A., Gimzewski, J., Nakayama, T., Kuncic, Z., 2020. Harnessing adaptive dynamics in neuro-memristive nanowire networks for transfer learning, Proceedings of the 2020 International Conference on Rebooting Computing (ICRC 2020).
- Kuncic, Z., Kavehei, O., Zhu, R., Loeffler, A., Fu, K., Hochstetter, J., Li,M.,Shine, J.M., Diaz-Alvarez, A., Stieg, A., Gimzewski, J., Nakayama, T., 2020. Neuromorphic Information Processing with Nanowire Networks, Proceedings of the 2020 IEEE International Symposium on Circuits and Systems (ISCAS2020).
- Fu, K., Zhu, R., Loeffler, A., Hochstetter, J., Diaz-Alvarez, A., Stieg, A., Gimzewski, J., Nakayama, T., Kuncic, Z.,2020. Reservoir Computing with Neuromemristive Nanowire Networks, Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN 2020).
Manuscripts Accepted or Under Review
Gunasekaran, S., Zhu, R., Kuncic, Z., Eshraghian, J., 2024. Knowledge Distillation Through Time For Future Event Prediction, International Conference on Learning Representations (ICLR) 2024, accepted.
Roman, A., Zhu, R., Nemenman, I., 2022. Ballistic deposition with memory: a new universality class of surface growth with a new scaling law, under review, on arXiv.