v1v2 (latest)

Gradient Descent for Spiking Neural Networks

14 June 2017

Papers citing "Gradient Descent for Spiking Neural Networks"

50 / 108 papers shown

Title
Spiking Graph Neural Network on Riemannian Manifolds Li Sun Zhenhao Huang Qiqi Wan Hao Peng Philip S. Yu GNN AI4CE 48 2 0 23 Oct 2024
Spiking Convolutional Neural Networks for Text Classification Changze Lv Jianhan Xu Xiaoqing Zheng 93 32 0 27 Jun 2024
Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification Mateusz Pabian D. Rzepka Miroslaw Pawlak 71 2 0 03 Jun 2024
Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks Julia Gygax Friedemann Zenke 98 4 0 23 Apr 2024
EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm Lakshmi Annamalai Chetan Singh Thakur 41 0 0 28 Jan 2024
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network Changze Lv Tianlong Li Changze Lv Yufei Gu Jianhan Xu Cenyuan Zhang Muling Wu Xiaoqing Zheng Xuanjing Huang CLIP VLM 158 3 0 10 Oct 2023
Smooth Exact Gradient Descent Learning in Spiking Neural Networks Christian Klos Raoul-Martin Memmesheimer 143 7 0 25 Sep 2023
Learning Spiking Neural Network from Easy to Hard task Lingling Tang Jiangtao Hu Hua Yu Surui Liu Jielei Chu 59 1 0 09 Sep 2023
Persistent learning signals and working memory without continuous attractors Il Memming Park Ábel Ságodi Piotr Sokól 100 9 0 24 Aug 2023
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding Yusuke Sakemi Kakei Yamamoto T. Hosomi Kazuyuki Aihara 62 7 0 24 Jul 2023
High-performance deep spiking neural networks with 0.3 spikes per neuron A. Stanojević Stanislaw Wo'zniak G. Bellec G. Cherubini A. Pantazi W. Gerstner 114 19 0 14 Jun 2023
Spike-based computation using classical recurrent neural networks Florent De Geeter D. Ernst G. Drion 49 1 0 06 Jun 2023
SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks Henrique Branquinho Nuno Lourenço Ernesto Costa 35 1 0 18 May 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 103 44 0 28 Feb 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential Zecheng Hao Tong Bu Jianhao Ding Tiejun Huang Zhaofei Yu 119 62 0 04 Feb 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway Guangyao Chen Peixi Peng Guoqi Li Yonghong Tian 120 27 0 27 Jan 2023
An Exact Mapping From ReLU Networks to Spiking Neural Networks A. Stanojević Stanislaw Wo'zniak G. Bellec G. Cherubini A. Pantazi W. Gerstner 92 24 0 23 Dec 2022
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks Thomas Nowotny J. Turner James C. Knight 84 15 0 02 Dec 2022
Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions Kakei Yamamoto Yusuke Sakemi Kazuyuki Aihara 57 2 0 29 Nov 2022
Intelligence Processing Units Accelerate Neuromorphic Learning P. Sun A. Titterton Anjlee Gopiani Tim Santos A. Basu Wei D. Lu Jason K. Eshraghian 47 8 0 19 Nov 2022
A noise based novel strategy for faster SNN training Chunming Jiang Yilei Zhang 27 3 0 10 Nov 2022
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation Jane Lee Saeid Haghighatshoar Amin Karbasi 64 0 0 18 Oct 2022
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks Yu-Zhu Guo Liwen Zhang Y. Chen Xinyi Tong Xiaode Liu Yinglei Wang Xuhui Huang Zhe Ma 70 32 0 13 Oct 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 62 18 0 29 Aug 2022
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware Anmol Biswas V. Saraswat U. Ganguly AAML 45 1 0 20 Jul 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules Yuhan Helena Liu Arna Ghosh Blake A. Richards E. Shea-Brown Guillaume Lajoie 88 10 0 02 Jun 2022
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity Thomas Limbacher Ozan Özdenizci Robert Legenstein 85 2 0 23 May 2022
EXODUS: Stable and Efficient Training of Spiking Neural Networks F. Bauer Gregor Lenz Saeid Haghighatshoar Sadique Sheik BDL 113 16 0 20 May 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 82 142 0 01 May 2022
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks Werner van der Veen 67 1 0 05 Jan 2022
Improving Spiking Neural Network Accuracy Using Time-based Neurons Hanseok Kim Woo-Seok Choi 45 7 0 05 Jan 2022
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
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning Bleema Rosenfeld Osvaldo Simeone Bipin Rajendran GAN 64 16 0 02 Nov 2021
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency Sayeed Shafayet Chowdhury Nitin Rathi Kaushik Roy 83 41 0 01 Oct 2021
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework Zhuowen Zou H. Alimohamadi Farhad Imani Yeseong Kim Mohsen Imani 110 19 0 01 Oct 2021
Spiking neural networks trained via proxy Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier 75 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 133 465 0 27 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
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks Yukun Yang Wenrui Zhang Peng Li AAML 170 27 0 22 Jun 2021
Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks Yusuke Sakemi Takashi Morie T. Hosomi Kazuyuki Aihara 29 2 0 18 Jun 2021
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware Alpha Renner F. Sheldon Anatoly Zlotnik L. Tao A. Sornborger 67 41 0 13 Jun 2021
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence Charlotte Frenkel D. Bol Giacomo Indiveri 85 36 0 02 Jun 2021
A Differentiable Point Process with Its Application to Spiking Neural Networks Hiroshi Kajino 14 5 0 02 Jun 2021
Efficient Spiking Neural Networks with Radix Encoding Zhehui Wang Xiaozhe Gu Rick Siow Mong Goh Qiufeng Wang Yaoyu Zhang 65 23 0 14 May 2021
Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms James FitzGerald KongFatt Wong-Lin 17 2 0 14 May 2021
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data Lakshmi Annamalai Vignesh Ramanathan Chetan Singh Thakur 63 15 0 10 May 2021
SpikE: spike-based embeddings for multi-relational graph data Dominik Dold J. Garrido GNN 42 10 0 27 Apr 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 231 502 0 08 Feb 2021
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 76 17 0 15 Dec 2020
Skip-Connected Self-Recurrent Spiking Neural Networks with Joint Intrinsic Parameter and Synaptic Weight Training Wenrui Zhang Peng Li 74 13 0 23 Oct 2020