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Gradient Descent for Spiking Neural Networks

14 June 2017

Papers citing "Gradient Descent for Spiking Neural Networks"

50 / 108 papers shown

Title
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 122 90 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 86 52 0 15 Oct 2020
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks Isha Garg Sayeed Shafayet Chowdhury Kaushik Roy 46 14 0 05 Oct 2020
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation Dimche Kostadinov Davide Scaramuzza SSL 62 4 0 23 Sep 2020
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks Timo C. Wunderlich Christian Pehle 90 122 0 17 Sep 2020
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence N. Skatchkovsky Hyeryung Jang Osvaldo Simeone 62 24 0 03 Sep 2020
Reinforcement Learning with Feedback-modulated TD-STDP Stephen Chung R. Kozma 18 3 0 29 Aug 2020
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers Nguyen-Dong Ho I. Chang 70 52 0 11 Aug 2020
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks Nitin Rathi Kaushik Roy 130 135 0 09 Aug 2020
Online Few-shot Gesture Learning on a Neuromorphic Processor Kenneth Stewart Garrick Orchard S. Shrestha Emre Neftci 72 38 0 03 Aug 2020
Multi-Sample Online Learning for Probabilistic Spiking Neural Networks Hyeryung Jang Osvaldo Simeone 24 0 0 23 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
Multivariate Time Series Classification Using Spiking Neural Networks Haowen Fang Amar Shrestha Qinru Qiu 48 16 0 07 Jul 2020
Towards Understanding the Effect of Leak in Spiking Neural Networks Sayeed Shafayet Chowdhury Chankyu Lee Kaushik Roy 60 59 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 79 107 0 12 Jun 2020
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks Jinseok Kim Kyungsu Kim Jae-Joon Kim 84 53 0 04 Jun 2020
Artificial neural networks for neuroscientists: A primer G. R. Yang Xiao-Jing Wang 107 254 0 01 Jun 2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin Federico Corradi Sander M. Bohté 69 104 0 24 May 2020
Training spiking neural networks using reinforcement learning Sneha Aenugu OffRL 11 2 0 12 May 2020
Advances in Quantum Deep Learning: An Overview Siddhant Garg Goutham Ramakrishnan 45 56 0 08 May 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 173 306 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 90 117 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 60 212 0 30 Apr 2020
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures Richard C. Gerum A. Schilling AI4CE 32 17 0 28 Apr 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 69 11 0 20 Apr 2020
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model Ifeatu Ezenwe Alok Joshi KongFatt Wong-Lin 11 1 0 30 Mar 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang Peng Li 85 225 0 24 Feb 2020
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions Aaron R. Voelker Daniel Rasmussen C. Eliasmith 69 17 0 10 Feb 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 137 132 0 24 Dec 2019
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks Y. Tan Yuval Elovici Alexander Binder AAML 82 3 0 08 Dec 2019
Technical report: supervised training of convolutional spiking neural networks with PyTorch Romain Zimmer Thomas Pellegrini S. Singh T. Masquelier 68 32 0 22 Nov 2019
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron Saeed Reza Kheradpisheh T. Masquelier 78 192 0 21 Oct 2019
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks Benjamin Cramer Yannik Stradmann Johannes Schemmel Friedemann Zenke 46 220 0 16 Oct 2019
Bifurcation Spiking Neural Network Shao-Qun Zhang Zhao-Yu Zhang Zhi Zhou 40 8 0 18 Sep 2019
Minibatch Processing in Spiking Neural Networks D. J. Saunders Cooper Sigrist Kenneth Chaney R. Kozma H. Siegelmann 44 3 0 05 Sep 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks Wenrui Zhang Peng Li 74 124 0 18 Aug 2019
Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory B. Plaster G. Kumar 18 6 0 11 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 83 179 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 61 17 0 04 Jun 2019
Harnessing Slow Dynamics in Neuromorphic Computation Tianlin Liu 38 0 0 28 May 2019
End-to-End Learning of Representations for Asynchronous Event-Based Data Daniel Gehrig Antonio Loquercio Konstantinos G. Derpanis Davide Scaramuzza DRL AI4TS 112 338 0 17 Apr 2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games Devdhar Patel Hananel Hazan D. J. Saunders H. Siegelmann R. Kozma OffRL 31 9 0 26 Mar 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda G. Srinivasan Kaushik Roy 104 398 0 15 Mar 2019
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation Johannes C. Thiele O. Bichler A. Dupret S. Solinas Giacomo Indiveri 43 5 0 11 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 108 1,249 0 28 Jan 2019
Training dynamically balanced excitatory-inhibitory networks Alessandro Ingrosso L. F. Abbott 42 39 0 29 Dec 2018
Deep learning incorporating biologically-inspired neural dynamics Stanisław Woźniak A. Pantazi Thomas Bohnstingl E. Eleftheriou 51 9 0 17 Dec 2018
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication William M. Severa C. Vineyard Ryan Dellana Stephen J Verzi J. Aimone 77 96 0 26 Oct 2018
Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system Guangzhi Tang Konstantinos Michmizos 48 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 81 234 0 04 Jun 2018