Citations refer to the original publication, not to a Scieee localized version.
Domínguez Morales, J. P., Liu, Q., James, R., Gutiérrez Galán, D., Jiménez Fernández, Á. F., Davidson, S., & Furber, S. B. (2018). Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach. IEEE Computer Society. https://doi.org/10.1109/IJCNN.2018.8489381
Domínguez Morales, Juan Pedro, et al. Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach. IEEE Computer Society, 2018. https://doi.org/10.1109/IJCNN.2018.8489381.
Domínguez Morales, Juan Pedro, Qian Liu, Robert James, Daniel Gutiérrez Galán, Ángel Francisco Jiménez Fernández, Simón Davidson, and Steve B. Furber. Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach. IEEE Computer Society, 2018. https://doi.org/10.1109/IJCNN.2018.8489381.
Domínguez Morales, J. P. et al. (2018) Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach. IEEE Computer Society. Available at: https://doi.org/10.1109/IJCNN.2018.8489381.
J. P. Domínguez Morales et al., “Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach,” IEEE Computer Society, 2018, doi: 10.1109/IJCNN.2018.8489381.
@misc{dominguezmorales2018deep,
author = {Domínguez Morales, Juan Pedro and Liu, Qian and James, Robert and Gutiérrez Galán, Daniel and Jiménez Fernández, Ángel Francisco and Davidson, Simón and Furber, Steve B.},
title = {Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach},
year = {2018},
publisher = {IEEE Computer Society},
doi = {10.1109/IJCNN.2018.8489381},
url = {https://doi.org/10.1109/IJCNN.2018.8489381}
}
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