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

21 May 2018

Peng Li

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

40 / 40 papers shown

Title
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Boxun Xu Richard Boone Peng Li 19 0 0 18 May 2025
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing Biswadeep Chakraborty Saibal Mukhopadhyay 40 2 0 08 Jul 2024
Forward Direct Feedback Alignment for Online Gradient Estimates of Spiking Neural Networks Florian Bacho Dminique Chu 32 0 0 06 Feb 2024
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention Boxun Xu Hejia Geng Yuxuan Yin Peng Li 33 2 0 15 Nov 2023
Spike-based Neuromorphic Computing for Next-Generation Computer Vision Md. Sakib Hasan Catherine D. Schuman Zhongyang Zhang Tauhidur Rahman Garrett S. Rose 41 0 0 15 Oct 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential Zecheng Hao Tong Bu Jianhao Ding Tiejun Huang Zhaofei Yu 33 54 0 04 Feb 2023
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation Jane Lee Saeid Haghighatshoar Amin Karbasi 48 0 0 18 Oct 2022
Online Training Through Time for Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 50 61 0 09 Oct 2022
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification Biswadeep Chakraborty Saibal Mukhopadhyay 36 20 0 22 Sep 2022
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware Anmol Biswas V. Saraswat U. Ganguly AAML 29 1 0 20 Jul 2022
Spikemax: Spike-based Loss Methods for Classification S. Shrestha Longwei Zhu Pengfei Sun 34 15 0 19 May 2022
Evaluation of Neuromorphic Spike Encoding of Sound Using Information Theory Ahmad El Ferdaoussi É. Plourde Jean Rouat 19 1 0 19 Feb 2022
Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold Changqin Xu Yi Liu Yintang Yang 20 12 0 25 Nov 2021
Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules Dongcheng Zhao Yang Li Yi Zeng Jihang Wang Qian Zhang 37 28 0 15 Nov 2021
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks Guobin Shen Dongcheng Zhao Yi Zeng 41 54 0 17 Oct 2021
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks Ling Liang Zheng Qu Zhaodong Chen Fengbin Tu Yujie Wu Lei Deng Guoqi Li Peng Li Yuan Xie 27 27 0 25 Jul 2021
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks Yukun Yang Wenrui Zhang Peng Li AAML 116 25 0 22 Jun 2021
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons Dongcheng Zhao Yi Zeng Yang Li 35 40 0 27 May 2021
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor Amar Shrestha Haowen Fang D. Rider Zaidao Mei Qinru Qiu 43 26 0 08 May 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li 19 503 0 29 Oct 2020
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers Nguyen-Dong Ho I. Chang 20 48 0 11 Aug 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 74 508 0 11 Jul 2020
Long Short-Term Memory Spiking Networks and Their Applications Ali Lotfi-Rezaabad S. Vishwanath 21 62 0 09 Jul 2020
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks Jinseok Kim Kyungsu Kim Jae-Joon Kim 14 50 0 04 Jun 2020
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes Qiang Yu Chenxiang Ma Shiming Song Gaoyan Zhang J. Dang Kay Chen Tan 28 49 0 05 May 2020
Spiking Neural Networks Hardware Implementations and Challenges: a Survey Maxence Bouvier A. Valentian T. Mesquida F. Rummens M. Reyboz Elisa Vianello E. Beigné 61 113 0 04 May 2020
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences Weihua He Yujie Wu Lei Deng Guoqi Li Haoyu Wang Yang Tian Wei Ding Wenhui Wang Yuan Xie 88 125 0 02 May 2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Maryam Parsa Catherine D. Schuman Prasanna Date Derek C. Rose Bill Kay ... Steven R. Young Ryan Dellana William M. Severa T. Potok Kaushik Roy 21 4 0 21 Apr 2020
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 22 21 0 26 Mar 2020
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding Seongsik Park Seijoon Kim Byunggook Na Sungroh Yoon 31 121 0 26 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 28 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 33 310 0 25 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 16 120 0 19 Feb 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 29 61 0 01 Jan 2020
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks Wenrui Zhang Peng Li 11 124 0 18 Aug 2019
Reinforcement Learning with Low-Complexity Liquid State Machines Wachirawit Ponghiran G. Srinivasan Kaushik Roy 25 14 0 04 Jun 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 17 32 0 03 Jun 2019
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation Deboleena Roy Priyadarshini Panda Kaushik Roy 27 22 0 24 May 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 46 642 0 16 Sep 2018
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 135 258 0 16 Dec 2016