Title
S $^3$ NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks Kazuma Suetake Shin-ichi Ikegawa Ryuji Saiin Yoshihide Sawada 88 4 0 26 Jan 2022
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks Werner van der Veen 77 1 0 05 Jan 2022
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time Wenzhe Guo M. Fouda A. Eltawil K. Salama 51 12 0 13 Dec 2021
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment M. Filipovich Zhimu Guo M. Al-Qadasi Bicky A. Marquez Hugh Morison V. Sorger Paul R. Prucnal S. Shekhar B. Shastri 69 56 0 12 Nov 2021
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks Alex Vicente-Sola D. L. Manna Paul Kirkland G. D. Caterina Trevor Bihl University of Strathclyde 53 22 0 10 Nov 2021
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment Weixin Xu Zipeng Feng Shuangkang Fang Song Yuan Yi Yang Shuchang Zhou MQ 49 1 0 01 Nov 2021
BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks Guangzhi Tang Neelesh Kumar Ioannis E. Polykretis Konstantinos Michmizos 46 6 0 27 Oct 2021
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators Alexander Shekhovtsov MQ 88 5 0 07 Oct 2021
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision Julian Buchel Gregor Lenz Yalun Hu Sadique Sheik M. Sorbaro AAML 92 15 0 06 Oct 2021
Spiking neural networks trained via proxy Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier 81 16 0 27 Sep 2021
Training Spiking Neural Networks Using Lessons From Deep Learning Jason K. Eshraghian Max Ward Emre Neftci Xinxin Wang Gregor Lenz Girish Dwivedi Bennamoun Doo Seok Jeong Wei D. Lu 137 467 0 27 Sep 2021
AI Accelerator Survey and Trends Albert Reuther Peter Michaleas Michael Jones V. Gadepally S. Samsi J. Kepner 98 81 0 18 Sep 2021
Spike time displacement based error backpropagation in convolutional spiking neural networks M. Mirsadeghi Majid Shalchian Saeed Reza Kheradpisheh T. Masquelier 50 15 0 31 Aug 2021
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware Philipp Plank A. Rao Andreas Wild Wolfgang Maass 88 105 0 08 Jul 2021
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware Alpha Renner F. Sheldon Anatoly Zlotnik L. Tao A. Sornborger 77 41 0 13 Jun 2021
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications Yaoyu Zhang Wai Teng Tang Matthew Kay Fei Lee Chuping Qu Weng-Fai Wong Rick Siow Mong Goh 64 0 0 25 May 2021
Sparse Spiking Gradient Descent Nicolas Perez Nieves Dan F. M. Goodman 71 86 0 18 May 2021
Hessian Aware Quantization of Spiking Neural Networks H. Lui Emre Neftci MQ 51 15 0 29 Apr 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks Sayeed Shafayet Chowdhury Isha Garg Kaushik Roy 67 40 0 26 Apr 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 250 710 0 24 Jan 2021
ItNet: iterative neural networks with small graphs for accurate, efficient and anytime semantic segmentation Thomas Pfeil GNN 38 0 0 21 Jan 2021
Natural-gradient learning for spiking neurons Elena Kreutzer Walter Senn Mihai A. Petrovici 48 13 0 23 Nov 2020
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks Melika Payvand M. Fouda Fadi J. Kurdahi A. Eltawil Emre Neftci 61 30 0 21 Nov 2020
RANC: Reconfigurable Architecture for Neuromorphic Computing J. Mack Ruben Purdy K. Rockowitz Michael Inouye Edward Richter ... Nirmal Kumbhare M. S. Hassan Kaitlin L. Fair John Mixter Ali Akoglu 78 23 0 01 Nov 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 130 90 0 22 Oct 2020
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks Timo C. Wunderlich Christian Pehle 94 122 0 17 Sep 2020
Survey of Machine Learning Accelerators Albert Reuther Peter Michaleas Michael Jones V. Gadepally S. Samsi J. Kepner 67 137 0 01 Sep 2020
Floating-Point Multiplication Using Neuromorphic Computing Karn Dubey Urja Kothari Shrisha Rao 25 3 0 30 Aug 2020
Data-driven effective model shows a liquid-like deep learning Wenxuan Zou Haiping Huang 71 2 0 16 Jul 2020
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier MQ AI4CE 106 76 0 08 Jul 2020
Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network Zihan Pan Malu Zhang Jibin Wu Haizhou Li 45 9 0 07 Jul 2020
Surrogate gradients for analog neuromorphic computing Benjamin Cramer Sebastian Billaudelle Simeon Kanya Aron Leibfried Andreas Grubl ... Korbinian Schreiber Yannik Stradmann Johannes Weis Johannes Schemmel Friedemann Zenke 79 110 0 12 Jun 2020
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks Alexander Shekhovtsov Dmitry Molchanov MQ 81 16 0 11 Jun 2020
Training Deep Spiking Neural Networks Eimantas Ledinauskas J. Ruseckas Alfonsas Jursenas Giedrius Burachas 98 55 0 08 Jun 2020
Recurrent and Spiking Modeling of Sparse Surgical Kinematics N. Getty Zixuan Zhou S. Gruessner Liaohai Chen Fangfang Xia 56 3 0 12 May 2020
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures Richard C. Gerum A. Schilling AI4CE 32 17 0 28 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 99 21 0 26 Mar 2020
A Power-Efficient Binary-Weight Spiking Neural Network Architecture for Real-Time Object Classification Pai-Yu Tan Po-Yao Chuang Yen-Ting Lin Cheng-Wen Wu Juin-Ming Lu MQ 28 7 0 12 Mar 2020
Event-Based Angular Velocity Regression with Spiking Networks Mathias Gehrig S. Shrestha Daniel Mouritzen Davide Scaramuzza 55 86 0 05 Mar 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network Bing Han G. Srinivasan Kaushik Roy 109 322 0 25 Feb 2020
Recognizing Images with at most one Spike per Neuron Christoph Stöckl Wolfgang Maass 62 12 0 30 Dec 2019
Optimizing the energy consumption of spiking neural networks for neuromorphic applications M. Sorbaro Li-Yu Daisy Liu Massimo Bortone Sadique Sheik 100 69 0 03 Dec 2019
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip Bo Wang Jun Zhou Weng-Fai Wong L. Peh 43 25 0 25 Nov 2019
Technical report: supervised training of convolutional spiking neural networks with PyTorch Romain Zimmer Thomas Pellegrini S. Singh T. Masquelier 71 32 0 22 Nov 2019
Implementation of Optical Deep Neural Networks using the Fabry-Perot Interferometer Benjamin D. Steel 50 0 0 22 Nov 2019
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
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection Flavio Martinelli Giorgia Dellaferrera Pablo Mainar Milos Cernak 66 31 0 22 Oct 2019
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron Saeed Reza Kheradpisheh T. Masquelier 80 192 0 21 Oct 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 91 100 0 24 Sep 2019
Reservoirs learn to learn Anand Subramoney Franz Scherr Wolfgang Maass 45 20 0 16 Sep 2019