SuperSpike: Supervised learning in multi-layer spiking neural networks

31 May 2017

Friedemann Zenke

Papers citing "SuperSpike: Supervised learning in multi-layer spiking neural networks"

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Title
Neko: a Library for Exploring Neuromorphic Learning Rules Zixuan Zhao Nathan Wycoff N. Getty Rick L. Stevens Fangfang Xia 12 2 0 01 May 2021
SpikE: spike-based embeddings for multi-relational graph data Dominik Dold J. Garrido GNN 11 10 0 27 Apr 2021
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning Haowen Fang Brady Taylor Ziru Li Zaidao Mei Hai Helen Li Qinru Qiu 30 10 0 21 Apr 2021
A contrastive rule for meta-learning Nicolas Zucchet Simon Schug J. Oswald Dominic Zhao João Sacramento MLT 27 19 0 04 Apr 2021
Time Series Analysis and Modeling to Forecast: a Survey F. Dama Christine Sinoquet AI4TS 16 27 0 31 Mar 2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 31 209 0 12 Mar 2021
Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization Hyeryung Jang Osvaldo Simeone 28 0 0 05 Feb 2021
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 34 17 0 15 Dec 2020
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks Melika Payvand M. Fouda Fadi J. Kurdahi A. Eltawil Emre Neftci 19 29 0 21 Nov 2020
Temporal Surrogate Back-propagation for Spiking Neural Networks Yukun Yang 6 1 0 18 Nov 2020
One-Shot Federated Learning with Neuromorphic Processors Kenneth Stewart Yanqi Gu FedML 11 2 0 01 Nov 2020
Spiking Neural Networks -- Part II: Detecting Spatio-Temporal Patterns N. Skatchkovsky Hyeryung Jang Osvaldo Simeone 8 17 0 27 Oct 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 33 87 0 22 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation Tielin Zhang Shuncheng Jia Xiang Cheng Bo Xu 25 47 0 09 Oct 2020
Finite Meta-Dynamic Neurons in Spiking Neural Networks for Spatio-temporal Learning Xiang Cheng Tielin Zhang Shuncheng Jia Bo Xu AI4CE 19 14 0 07 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 13 13 0 05 Oct 2020
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks Timo C. Wunderlich Christian Pehle 12 117 0 17 Sep 2020
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence N. Skatchkovsky Hyeryung Jang Osvaldo Simeone 27 23 0 03 Sep 2020
Supervised Learning with First-to-Spike Decoding in Multilayer Spiking Neural Networks Brian Gardner André Grüning 14 5 0 16 Aug 2020
Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach Sandro Baumgartner Alpha Renner Raphaela Kreiser Dongchen Liang Giacomo Indiveri Yulia Sandamirskaya 9 6 0 08 Aug 2020
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition Fuqiang Gu Weicong Sng Tasbolat Taunyazov Harold Soh 9 38 0 01 Aug 2020
Supervised Learning in Temporally-Coded Spiking Neural Networks with Approximate Backpropagation A. Stephan Brian Gardner S. Koester André Grüning 9 0 0 27 Jul 2020
Online Spatio-Temporal Learning in Deep Neural Networks Thomas Bohnstingl Stanislaw Wo'zniak Wolfgang Maass A. Pantazi E. Eleftheriou 21 43 0 24 Jul 2020
Multi-Sample Online Learning for Probabilistic Spiking Neural Networks Hyeryung Jang Osvaldo Simeone 11 0 0 23 Jul 2020
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier MQ AI4CE 20 75 0 08 Jul 2020
Multivariate Time Series Classification Using Spiking Neural Networks Haowen Fang Amar Shrestha Qinru Qiu 11 16 0 07 Jul 2020
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks Jibin Wu Chenglin Xu Daquan Zhou Haizhou Li Kay Chen Tan 14 110 0 02 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 19 106 0 12 Jun 2020
Training Deep Spiking Neural Networks Eimantas Ledinauskas J. Ruseckas Alfonsas Jursenas Giedrius Burachas 19 54 0 08 Jun 2020
Brain-inspired global-local learning incorporated with neuromorphic computing Yujie Wu R. Zhao Jun Zhu F. Chen Mingkun Xu ... Hao Zheng Jing Pei Youhui Zhang Mingguo Zhao Luping Shi 24 86 0 05 Jun 2020
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks Jinseok Kim Kyungsu Kim Jae-Joon Kim 4 49 0 04 Jun 2020
Artificial neural networks for neuroscientists: A primer G. R. Yang Xiao-Jing Wang 16 242 0 01 Jun 2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin Federico Corradi Sander M. Bohté 10 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 124 293 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 56 113 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 A. Sebastian Bipin Rajendran Osvaldo Simeone Eleni Vasilaki A. Kenyon 14 200 0 30 Apr 2020
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures Richard C. Gerum A. Schilling AI4CE 11 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 22 11 0 20 Apr 2020
The Operating System of the Neuromorphic BrainScaleS-1 System Eric Müller Sebastian Schmitt Christian Mauch Sebastian Billaudelle Andreas Grübl ... H. Schmidt Bernhard Vogginger Jonas Weidner Christian Mayr Johannes Schemmel 22 23 0 30 Mar 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 7 21 0 26 Mar 2020
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System Andreas Grübl Sebastian Billaudelle Benjamin Cramer V. Karasenko Johannes Schemmel 19 33 0 25 Mar 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy AAML 114 85 0 23 Mar 2020
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators Clemens J. S. Schaefer Patrick Faley Emre Neftci S. Joshi 20 2 0 05 Mar 2020
Event-Based Angular Velocity Regression with Spiking Networks Mathias Gehrig S. Shrestha Daniel Mouritzen Davide Scaramuzza 10 85 0 05 Mar 2020
Embodied Synaptic Plasticity with Online Reinforcement learning Jacques Kaiser M. Hoff Andreas Konle J. C. V. Tieck David Kappel ... Anand Subramoney R. Legenstein A. Rönnau Wolfgang Maass Rüdiger Dillmann OffRL 6 16 0 03 Mar 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang Peng Li 14 210 0 24 Feb 2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network Haowen Fang Amar Shrestha Ziyi Zhao Qinru Qiu 14 119 0 19 Feb 2020
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design Yusuke Sakemi K. Morino Takashi Morie Kazuyuki Aihara 6 31 0 08 Jan 2020
Structural plasticity on an accelerated analog neuromorphic hardware system Sebastian Billaudelle Benjamin Cramer Mihai A. Petrovici Korbinian Schreiber David Kappel Johannes Schemmel K. Meier 21 21 0 27 Dec 2019
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 22 124 0 24 Dec 2019