David Reid, Emanuele Lindo Secco. Temporal Convolution in Spiking Neural Networks: A Bio-mimetic Paradigm. In Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das, editors, Soft Computing for Problem Solving 2019 - Proceedings of SocProS 2019, Volume 2, Liverpool Hope University, UK, 2-4 September 2019. Volume 1139 of Advances in Intelligent Systems and Computing, pages 211-222, Springer, 2019. [doi]
@inproceedings{ReidS19,
title = {Temporal Convolution in Spiking Neural Networks: A Bio-mimetic Paradigm},
author = {David Reid and Emanuele Lindo Secco},
year = {2019},
doi = {10.1007/978-981-15-3287-0_17},
url = {https://doi.org/10.1007/978-981-15-3287-0_17},
researchr = {https://researchr.org/publication/ReidS19},
cites = {0},
citedby = {0},
pages = {211-222},
booktitle = {Soft Computing for Problem Solving 2019 - Proceedings of SocProS 2019, Volume 2, Liverpool Hope University, UK, 2-4 September 2019},
editor = {Atulya K. Nagar and Kusum Deep and Jagdish Chand Bansal and Kedar Nath Das},
volume = {1139},
series = {Advances in Intelligent Systems and Computing},
publisher = {Springer},
isbn = {978-981-15-3287-0},
}