Gradient Descent for Spiking Neural Networks

14 June 2017

Papers citing "Gradient Descent for Spiking Neural Networks"

46 / 46 papers shown

Title
Spiking Convolutional Neural Networks for Text Classification Changze Lv Jianhan Xu Xiaoqing Zheng 58 28 0 27 Jun 2024
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network Tianlong Li Wenhao Liu Changze Lv Jianhan Xu Jianhan Xu Cenyuan Zhang Muling Wu Xiaoqing Zheng Xuanjing Huang CLIP VLM 30 2 0 10 Oct 2023
Smooth Exact Gradient Descent Learning in Spiking Neural Networks Christian Klos Raoul-Martin Memmesheimer 48 6 0 25 Sep 2023
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding Yusuke Sakemi Kakei Yamamoto T. Hosomi Kazuyuki Aihara 45 7 0 24 Jul 2023
Spike-based computation using classical recurrent neural networks Florent De Geeter D. Ernst G. Drion 21 1 0 06 Jun 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 34 39 0 28 Feb 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
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway Guangyao Chen Peixi Peng Guoqi Li Yonghong Tian 34 23 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 38 22 0 23 Dec 2022
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks Thomas Nowotny J. Turner James C. Knight 35 15 0 02 Dec 2022
Intelligence Processing Units Accelerate Neuromorphic Learning P. Sun A. Titterton Anjlee Gopiani Tim Santos A. Basu Wei D. Lu Jason K. Eshraghian 22 8 0 19 Nov 2022
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation Jane Lee Saeid Haghighatshoar Amin Karbasi 45 0 0 18 Oct 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 38 17 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 26 1 0 20 Jul 2022
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity Thomas Limbacher Ozan Özdenizci Robert Legenstein 21 2 0 23 May 2022
EXODUS: Stable and Efficient Training of Spiking Neural Networks F. Bauer Gregor Lenz Saeid Haghighatshoar Sadique Sheik BDL 38 15 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 24 134 0 01 May 2022
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks Werner van der Veen 44 1 0 05 Jan 2022
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency Sayeed Shafayet Chowdhury Nitin Rathi Kaushik Roy 28 40 0 01 Oct 2021
Spike time displacement based error backpropagation in convolutional spiking neural networks M. Mirsadeghi Majid Shalchian Saeed Reza Kheradpisheh T. Masquelier 17 15 0 31 Aug 2021
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks Yukun Yang Wenrui Zhang Peng Li AAML 116 25 0 22 Jun 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 123 481 0 08 Feb 2021
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 37 17 0 15 Dec 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 38 89 0 22 Oct 2020
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations Erwann Martin M. Ernoult Jérémie Laydevant Shuai-shuai Li D. Querlioz Teodora Petrisor Julie Grollier 27 49 0 15 Oct 2020
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks Timo C. Wunderlich Christian Pehle 35 117 0 17 Sep 2020
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers Nguyen-Dong Ho I. Chang 17 48 0 11 Aug 2020
Towards Understanding the Effect of Leak in Spiking Neural Networks Sayeed Shafayet Chowdhury Chankyu Lee Kaushik Roy 27 56 0 15 Jun 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 26 107 0 12 Jun 2020
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks Jinseok Kim Kyungsu Kim Jae-Joon Kim 8 50 0 04 Jun 2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin Federico Corradi Sander M. Bohté 20 99 0 24 May 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 124 296 0 04 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 58 113 0 04 May 2020
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing A. Mehonic Abu Sebastian Bipin Rajendran Osvaldo Simeone Eleni Vasilaki A. Kenyon 24 200 0 30 Apr 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 32 11 0 20 Apr 2020
Fast and energy-efficient neuromorphic deep learning with first-spike times Julian Goltz Laura Kriener A. Baumbach Sebastian Billaudelle O. Breitwieser ... Á. F. Kungl Walter Senn Johannes Schemmel K. Meier Mihai A. Petrovici 40 126 0 24 Dec 2019
Technical report: supervised training of convolutional spiking neural networks with PyTorch Romain Zimmer Thomas Pellegrini S. Singh T. Masquelier 30 32 0 22 Nov 2019
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron Saeed Reza Kheradpisheh T. Masquelier 27 187 0 21 Oct 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks Wenrui Zhang Peng Li 11 124 0 18 Aug 2019
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation Iulia Comsa Krzysztof Potempa Luca Versari T. Fischbacher Andrea Gesmundo J. Alakuijala 30 174 0 30 Jul 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 10 17 0 04 Jun 2019
End-to-End Learning of Representations for Asynchronous Event-Based Data Daniel Gehrig Antonio Loquercio Konstantinos G. Derpanis Davide Scaramuzza DRL AI4TS 33 329 0 17 Apr 2019
Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system Guangzhi Tang Konstantinos Michmizos 18 41 0 05 Jul 2018
BindsNET: A machine learning-oriented spiking neural networks library in Python Hananel Hazan D. J. Saunders Hassaan Khan Darpan T. Sanghavi H. Siegelmann R. Kozma AI4CE 38 229 0 04 Jun 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
SuperSpike: Supervised learning in multi-layer spiking neural networks Friedemann Zenke Surya Ganguli 32 558 0 31 May 2017