Programmable optoelectronic memristors for energy-efficient adaptive binarized spiking neural networks.
- DOI
- 10.1039/d6nr01710j
- Published
- 2026 Jul 30
- Container
- Nanoscale
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1039/d6nr01710j,
title = {Programmable optoelectronic memristors for energy-efficient adaptive binarized spiking neural networks.},
author = {Zhang Z and Yan J and Gu J and Chen X and Shen W and Bao C and Lu M and Qiu J and Guo H and Jiang S},
year = {2026},
journal = {Nanoscale},
doi = {10.1039/d6nr01710j},
url = {https://doi.org/10.1039/d6nr01710j}
}RIS
TY - JOUR TI - Programmable optoelectronic memristors for energy-efficient adaptive binarized spiking neural networks. AU - Zhang Z AU - Yan J AU - Gu J AU - Chen X AU - Shen W AU - Bao C AU - Lu M AU - Qiu J AU - Guo H AU - Jiang S PY - 2026 JO - Nanoscale DO - 10.1039/d6nr01710j UR - https://doi.org/10.1039/d6nr01710j ER -
APA
Z, Z., J, Y., J, G., X, C., W, S., C, B., M, L., J, Q., H, G., & S, J. (2026). Programmable optoelectronic memristors for energy-efficient adaptive binarized spiking neural networks.. Nanoscale. https://doi.org/10.1039/d6nr01710j
Source records
- pubmed · retrieved 2026-09-25T05:19:21.156Z