The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Computational event-driven vision sensors for in-sensor spiking neural networks
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Cites
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Davies, M., Srinivasa, N., Lin, T.-H., Chinya, G., Cao, Y., Choday, S. H., Dimou, G., Joshi, P., Imam, N., Jain, S., et al. (2018) · IEEE Micro · doi:10.1109/mm.2018.112130359 · Cited by 3,897
Photodetectors based on graphene, other two-dimensional materials and hybrid systems
Koppens, F. H. L., Mueller, T., Avouris, P., Ferrari, A. C., Vitiello, M. S., & Polini, M. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.215 · Cited by 3,828
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., & Strukov, D. B. (2015) · Nature · doi:10.1038/nature14441 · Cited by 3,001
Gallego, G., Delbruck, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., Leutenegger, S., Davison, A. J., Conradt, J., Daniilidis, K., et al. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.3008413 · Cited by 2,566
A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor
Lichtsteiner, P., Posch, C., & Delbruck, T. (2008) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2007.914337 · Cited by 2,485
Fully hardware-implemented memristor convolutional neural network
Yao, P., Wu, H., Gao, B., Tang, J., Zhang, Q., Zhang, W., Yang, J. J., & Qian, H. (2020) · Nature · doi:10.1038/s41586-020-1942-4 · Cited by 2,179
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
Akopyan, F., Sawada, J., Cassidy, A., Alvarez-Icaza, R., Arthur, J., Merolla, P., Imam, N., Nakamura, Y., Datta, P., Nam, G.-J., et al. (2015) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2015.2474396 · Cited by 1,687
Optoelectronic devices based on electrically tunable p–n diodes in a monolayer dichalcogenide
Baugher, B. W. H., Churchill, H. O. H., Yang, Y., & Jarillo-Herrero, P. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.25 · Cited by 1,523
Optoelectronic resistive random access memory for neuromorphic vision sensors
Zhou, F., Zhou, Z., Chen, J., Choy, T. H., Wang, J., Zhang, N., Lin, Z., Yu, S., Kang, J., Wong, H.-S. P., et al. (2019) · Nature Nanotechnology · doi:10.1038/s41565-019-0501-3 · Cited by 1,322
Self-citationUltrafast machine vision with 2D material neural network image sensors
Mennel, L., Symonowicz, J., Wachter, S., Polyushkin, D. K., Molina-Mendoza, A. J., & Mueller, T. (2020) · Nature · doi:10.1038/s41586-020-2038-x · Cited by 1,167
Cited by
Toward an AI Era: Advances in Electronic Skins
Fu, X., Cheng, W., Wan, G., Yang, Z., & Tee, B. C. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00049 · Cited by 172
Metadata
- Authors
- Zhou, Y., Fu, J., Chen, Z., Zhuge, F., Wang, Y., Yan, J., Ma, S., Xu, L., Yuan, H., Chan, M., Miao, X., He, Y., & Chai, Y.
- Venue
- Nature Electronics
- Published
- 2023-11-13
- Volume
- 6
- Issue
- 11
- Pages
- 870-878
- ISSN
- 2520-1131 (ISSN-L)
- OpenAlex
- W4388625662
- Cited by
- 283
- References
- 41
- FWCI
- 20.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Computational event-driven vision sensors for in-sensor spiking neural networks. https://app.cochat.ai/papers/10.1038/s41928-023-01055-2
- The paper
- Zhou, Y., Fu, J., Chen, Z., Zhuge, F., Wang, Y., Yan, J., Ma, S., Xu, L., Yuan, H., Chan, M., Miao, X., He, Y., & Chai, Y. (2023). Computational event-driven vision sensors for in-sensor spiking neural networks. Nature Electronics. https://doi.org/10.1038/s41928-023-01055-2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
