Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks

13 December 2016

Bodo Rueckauer

Iulia-Alexandra Lungu

Yuhuang Hu

Michael Pfeiffer

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Papers citing "Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks"

26 / 26 papers shown

Title
Spiking Neural Network: a low power solution for physical layer authentication Jung Hoon Lee Sujith Vijayan 17 0 0 19 May 2025
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation Pranav Ramesh Gopalakrishnan Srinivasan 36 0 0 03 May 2025
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons Luke Taylor Andrew J. King N. Harper 32 6 0 19 Nov 2023
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient Yuhang Li Youngeun Kim Hyoungseob Park Priyadarshini Panda 36 16 0 25 Apr 2023
SEENN: Towards Temporal Spiking Early-Exit Neural Networks Yuhang Li Tamar Geller Youngeun Kim Priyadarshini Panda 26 38 0 02 Apr 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks Tong Bu Wei Fang Jianhao Ding Penglin Dai Zhaofei Yu Tiejun Huang 113 197 0 08 Mar 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
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks Zhanglu Yan Jun Zhou Weng-Fai Wong 38 2 0 27 Oct 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li Youngeun Kim Hyoungseob Park Tamar Geller Priyadarshini Panda 36 75 0 11 Mar 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 133 250 0 24 Feb 2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 106 89 0 03 Feb 2022
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware Shihao Song Harry Chong Adarsha Balaji Anup Das J. Shackleford Nagarajan Kandasamy 24 28 0 04 Aug 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration Yuhang Li Shi-Wee Deng Xin Dong Ruihao Gong Shi Gu 30 185 0 13 Jun 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks Jianhao Ding Zhaofei Yu Yonghong Tian Tiejun Huang 33 153 0 25 May 2021
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks Adarsha Balaji Shihao Song Twisha Titirsha Anup Das J. Krichmar N. Dutt J. Shackleford Nagarajan Kandasamy F. Catthoor 34 24 0 04 May 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 126 200 0 28 Feb 2021
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
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking Zheyu Yang Yujie Wu Guanrui Wang Yukuan Yang Guoqi Li Lei Deng Jun Zhu Luping Shi 31 42 0 15 Sep 2019
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data Hananel Hazan D. J. Saunders Darpan T. Sanghavi H. Siegelmann R. Kozma 13 17 0 04 Jun 2019
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks Seongsik Park Seijoon Kim Hyeokjun Choe Sungroh Yoon 23 94 0 10 Sep 2018
Deep Learning in Spiking Neural Networks A. Tavanaei M. Ghodrati Saeed Reza Kheradpisheh T. Masquelier Anthony Maida 12 1,059 0 22 Apr 2018
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification A. Sironi Manuele Brambilla Nicolas Bourdis Xavier Lagorce R. Benosman 37 442 0 21 Mar 2018
Efficient Computation in Adaptive Artificial Spiking Neural Networks Davide Zambrano Roeland Nusselder H. Scholte S. Bohté 28 22 0 13 Oct 2017
Algorithm and Hardware Design of Discrete-Time Spiking Neural Networks Based on Back Propagation with Binary Activations Shihui Yin S. Venkataramanaiah Gregory K. Chen R. Krishnamurthy Yu Cao C. Chakrabarti Jae-sun Seo 28 59 0 19 Sep 2017
Gradient Descent for Spiking Neural Networks Dongsung Huh T. Sejnowski 21 256 0 14 Jun 2017