Citations refer to the original publication, not to a Scieee localized version.
Yousefzadeh, A., Orchard, G., Stromatias, E., Serrano Gotarredona, M. T., & Linares Barranco, B. (2018). Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISCAS.2018.8351562
Yousefzadeh, Amirreza, et al. Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network. Institute of Electrical and Electronics Engineers (IEEE), 2018. https://doi.org/10.1109/ISCAS.2018.8351562.
Yousefzadeh, Amirreza, Garrick Orchard, Evangelos Stromatias, María Teresa Serrano Gotarredona, and Bernabé Linares Barranco. Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network. Institute of Electrical and Electronics Engineers (IEEE), 2018. https://doi.org/10.1109/ISCAS.2018.8351562.
Yousefzadeh, A. et al. (2018) Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network. Institute of Electrical and Electronics Engineers (IEEE). Available at: https://doi.org/10.1109/ISCAS.2018.8351562.
A. Yousefzadeh, G. Orchard, E. Stromatias, M. T. Serrano Gotarredona, and B. Linares Barranco, “Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network,” Institute of Electrical and Electronics Engineers (IEEE), 2018, doi: 10.1109/ISCAS.2018.8351562.
@misc{yousefzadeh2018hybrid,
author = {Yousefzadeh, Amirreza and Orchard, Garrick and Stromatias, Evangelos and Serrano Gotarredona, María Teresa and Linares Barranco, Bernabé},
title = {Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network},
year = {2018},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
doi = {10.1109/ISCAS.2018.8351562},
url = {https://doi.org/10.1109/ISCAS.2018.8351562}
}
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