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Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

21 May 2018

Yingyezhe Jin

Wenrui Zhang

Peng Li

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Papers citing "Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks"

23 / 73 papers shown

Title
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks Malu Zhang Jiadong Wang Burin Amornpaisannon Zhixuan Zhang VPK Miriyala ... Hong Qu Jibin Wu Yansong Chua Trevor E. Carlson Haizhou Li 93 21 0 26 Mar 2020
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding Seongsik Park Seijoon Kim Byunggook Na Sungroh Yoon 82 124 0 26 Mar 2020
Event-Based Angular Velocity Regression with Spiking Networks Mathias Gehrig S. Shrestha Daniel Mouritzen Davide Scaramuzza 55 86 0 05 Mar 2020
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow Ruthvik Vaila John N. Chiasson V. Saxena 78 22 0 26 Feb 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network Bing Han G. Srinivasan Kaushik Roy 109 320 0 25 Feb 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang Peng Li 85 223 0 24 Feb 2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network Haowen Fang Amar Shrestha Ziyi Zhao Qinru Qiu 73 120 0 19 Feb 2020
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design Yusuke Sakemi K. Morino Takashi Morie Kazuyuki Aihara 50 33 0 08 Jan 2020
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient Ling Liang Xing Hu Lei Deng Yujie Wu Guoqi Li Yufei Ding Peng Li Yuan Xie AAML 122 63 0 01 Jan 2020
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization Lei Deng Yujie Wu Yifan Hu Ling Liang Guoqi Li Xing Hu Yufei Ding Peng Li Yuan Xie 78 85 0 03 Nov 2019
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance Shibo Zhou Li Xiaohua Ying-Cong Chen S. T. Chandrasekaran A. Sanyal OOD 91 99 0 24 Sep 2019
Bifurcation Spiking Neural Network Shao-Qun Zhang Zhao-Yu Zhang Zhi Zhou 40 8 0 18 Sep 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks Wenrui Zhang Peng Li 74 124 0 18 Aug 2019
Reinforcement Learning with Low-Complexity Liquid State Machines Wachirawit Ponghiran G. Srinivasan Kaushik Roy 45 14 0 04 Jun 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 60 33 0 03 Jun 2019
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation Deboleena Roy Priyadarshini Panda Kaushik Roy 46 22 0 24 May 2019
Deep Convolutional Spiking Neural Networks for Image Classification Ruthvik Vaila John N. Chiasson V. Saxena 63 31 0 28 Mar 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda G. Srinivasan Kaushik Roy 104 398 0 15 Mar 2019
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection Seijoon Kim Seongsik Park Byunggook Na Sungroh Yoon ObjD 88 422 0 12 Mar 2019
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing G. Srinivasan Kaushik Roy 72 61 0 11 Feb 2019
Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients Bleema Rosenfeld Osvaldo Simeone Bipin Rajendran 58 17 0 23 Oct 2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 82 665 0 16 Sep 2018
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain Laxmi R. Iyer Yansong Chua Haizhou Li 68 54 0 03 Jul 2018