Training Deep Spiking Neural Networks

Training Deep Spiking Neural Networks

8 June 2020

Eimantas Ledinauskas

Alfonsas Jursenas

Giedrius Burachas

Papers citing "Training Deep Spiking Neural Networks"

13 / 13 papers shown

Title
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks Hanqi Chen Lixing Yu Shaojie Zhan Penghui Yao Jiankun Shao 42 1 0 31 Dec 2024
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL Lang Qin Ziming Wang Runhao Jiang Rui Yan Huajin Tang 36 0 0 24 Apr 2024
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks Yu-Zhu Guo Y. Chen Liwen Zhang Xiaode Liu Xinyi Tong Yuanyuan Ou Xuhui Huang Zhe Ma AAML 39 3 0 10 Jul 2023
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities Shristi Das Biswas Adarsh Kosta C. Liyanagedera M. Apolinario Kaushik Roy 29 18 0 19 Nov 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 24 46 0 04 Jul 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 21 88 0 23 Jan 2022
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding Gourav Datta Souvik Kundu P. Beerel 40 27 0 26 Jul 2021
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 20 170 0 05 Oct 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 47 503 0 11 Jul 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 121 293 0 04 May 2020
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks Seongsik Park Seijoon Kim Hyeokjun Choe Sungroh Yoon 13 94 0 10 Sep 2018
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 205 1,019 0 26 Mar 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 116 481 0 26 Mar 2018