Pedro Machado, Georgina Cosma, T. Martin McGinnity. NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images. In Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis, editors, Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I. Volume 11727 of Lecture Notes in Computer Science, pages 351-362, Springer, 2019. [doi]
@inproceedings{MachadoCM19, title = {NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images}, author = {Pedro Machado and Georgina Cosma and T. Martin McGinnity}, year = {2019}, doi = {10.1007/978-3-030-30487-4_28}, url = {https://doi.org/10.1007/978-3-030-30487-4_28}, researchr = {https://researchr.org/publication/MachadoCM19}, cites = {0}, citedby = {0}, pages = {351-362}, booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I}, editor = {Igor V. Tetko and Vera Kurková and Pavel Karpov and Fabian J. Theis}, volume = {11727}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-030-30487-4}, }