Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks

22 June 2021

Papers citing "Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks"

8 / 8 papers shown

Title
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention Boxun Xu Hejia Geng Yuxuan Yin Peng Li 23 2 0 15 Nov 2023
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry Yukun Yang Peng Li ODL 33 1 0 01 Dec 2022
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks Xing-Hua Yao Fanrong Li Zitao Mo Jianguo Cheng 24 82 0 25 Oct 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 24 134 0 01 May 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 129 243 0 24 Feb 2022
Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold Changqin Xu Yi Liu Yintang Yang 10 12 0 25 Nov 2021
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks Yukun Yang Peng Li 22 3 0 14 Nov 2021
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 119 481 0 26 Mar 2018