The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Near-sensor and in-sensor computing
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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
In-memory computing with resistive switching devices
Ielmini, D., & Wong, H.-S. P. (2018) · Nature Electronics · doi:10.1038/s41928-018-0092-2 · Cited by 2,298
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
A bioinspired flexible organic artificial afferent nerve
Kim, Y., Chortos, A., Xu, W., Liu, Y., Oh, J. Y., Son, D., Kang, J., Foudeh, A. M., Zhu, C., Lee, Y., et al. (2018) · Science · doi:10.1126/science.aao0098 · Cited by 1,466
Analogue signal and image processing with large memristor crossbars
Li, C., Hu, M., Li, Y., Jiang, H., Ge, N., Montgomery, E., Zhang, J., Song, W., Dávila, N., Graves, C. E., et al. (2017) · Nature Electronics · doi:10.1038/s41928-017-0002-z · Cited by 1,292
Three-dimensional integration of nanotechnologies for computing and data storage on a single chip
Shulaker, M. M., Hills, G., Park, R. S., Howe, R. T., Saraswat, K., Wong, H.-S. P., & Mitra, S. (2017) · Nature · doi:10.1038/nature22994 · Cited by 866
Artificial optic-neural synapse for colored and color-mixed pattern recognition
Seo, S., Jo, S.-H., Kim, S., Shim, J., Oh, S., Kim, J.-H., Heo, K., Choi, J.-W., Choi, C., Oh, S., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07572-5 · Cited by 731
Neuromorphic Hardware System for Visual Pattern Recognition With Memristor Array and CMOS Neuron
Chu, M., Kim, B., Park, S., Hwang, H., Jeon, M., Lee, B. H., & Lee, B.-G. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2356439 · Cited by 296
Cited by
Bioinspired in-sensor visual adaptation for accurate perception
Liao, F., Zhou, Z., Kim, B. J., Chen, J., Wang, J., Wan, T., Zhou, Y., Hoang, A. T., Wang, C., Kang, J., et al. (2022) · Nature Electronics · doi:10.1038/s41928-022-00713-1 · Cited by 609
Self-citationRecent Advances in Artificial Intelligence Sensors
Zhang, Z., Wang, L., & Lee, C. (2023) · Advanced Sensor Research · doi:10.1002/adsr.202200072 · Cited by 107
A fully hardware-based memristive multilayer neural network
Kiani, F., Yin, J., Wang, Z., Yang, J. J., & Xia, Q. (2021) · Science Advances · doi:10.1126/sciadv.abj4801 · Cited by 97
“Our fully analog-based perceptron is suited for in-sensor computing ( 52 , 53 ) that can further reduce the power consumption by processing the sensory data on-site.”
Wu, Y., Dai, S., Liu, X., Guo, P., Zhang, J., Sun, T., Guo, Z., Xu, Y., Liang, H., Xiong, L., et al. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202315175 · Cited by 52
2022 roadmap on neuromorphic computing and engineering
Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., et al. (2022) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/ac4a83
Metadata
- Authors
- Zhou, F., & Chai, Y.
- Venue
- Nature Electronics
- Published
- 2020-11-17
- Volume
- 3
- Issue
- 11
- Pages
- 664-671
- ISSN
- 2520-1131 (ISSN-L)
- OpenAlex
- W3104775050
- Cited by
- 1,090
- References
- 8
- FWCI
- 42.31
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhou, F., & Chai, Y. (2020). Near-sensor and in-sensor computing. Nature Electronics. https://doi.org/10.1038/s41928-020-00501-9
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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.
