High-performance deep spiking neural networks with 0.3 spikes per neuron
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DOI: 10.1038/s41467-024-51110-5
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- Simone Carlo Surace & Jean-Pascal Pfister & Wulfram Gerstner & Johanni Brea, 2020. "On the choice of metric in gradient-based theories of brain function," PLOS Computational Biology, Public Library of Science, vol. 16(4), pages 1-13, April.
- Gang Yu & Kai Sun & Chao Xu & Xing-Hua Shi & Chong Wu & Ting Xie & Run-Qi Meng & Xiang-He Meng & Kuan-Song Wang & Hong-Mei Xiao & Hong-Wen Deng, 2021. "Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
- Yan Zhang & Lin An & Jie Xu & Bo Zhang & W. Jim Zheng & Ming Hu & Jijun Tang & Feng Yue, 2018. "Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
- Libin Jiao & Rongfang Bie & Hao Wu & Yu Wei & Jixin Ma & Anton Umek & Anton Kos, 2018. "Golf swing classification with multiple deep convolutional neural networks," International Journal of Distributed Sensor Networks, , vol. 14(10), pages 15501477188, October.
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