Title
Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware Madison Cotteret Hugh Greatorex Alpha Renner Junren Chen Emre Neftci Huaqiang Wu Giacomo Indiveri Martin Ziegler Elisabetta Chicca 82 2 0 02 May 2024
Smooth Exact Gradient Descent Learning in Spiking Neural Networks Christian Klos Raoul-Martin Memmesheimer 76 6 0 25 Sep 2023
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 69 212 0 12 Mar 2021
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors Julian Büchel D. Zendrikov S. Solinas Giacomo Indiveri Dylan R. Muir 19 20 0 12 Feb 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 500 41,106 0 28 May 2020
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas Charlotte Frenkel J. Legat D. Bol 30 43 0 13 May 2020
Extending BrainScaleS OS for BrainScaleS-2 Eric Müller Christian Mauch Philipp Spilger O. Breitwieser Johann Klähn David Stöckel Timo C. Wunderlich Johannes Schemmel 57 24 0 30 Mar 2020
Accelerated Analog Neuromorphic Computing Johannes Schemmel Sebastian Billaudelle Philipp Dauer Johannes Weis 36 46 0 26 Mar 2020
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System Andreas Grübl Sebastian Billaudelle Benjamin Cramer V. Karasenko Johannes Schemmel 112 34 0 25 Mar 2020
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate Sebastian Billaudelle Yannik Stradmann Korbinian Schreiber Benjamin Cramer A. Baumbach ... V. Karasenko Walter Senn Mihai A. Petrovici Johannes Schemmel K. Meier 35 45 0 30 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 60 129 0 24 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 265 42,038 0 03 Dec 2019
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks Benjamin Cramer Yannik Stradmann Johannes Schemmel Friedemann Zenke 35 212 0 16 Oct 2019
Closing the Accuracy Gap in an Event-Based Visual Recognition Task Bodo Rückauer Nicolas Känzig Shih-Chii Liu T. Delbruck Yulia Sandamirskaya 37 22 0 06 May 2019
MorphIC: A 65-nm 738k-Synapse/mm $^2$ Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning Charlotte Frenkel J. Legat D. Bol 47 117 0 17 Apr 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 70 1,224 0 28 Jan 2019
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware Peter Blouw Xuan Choo Eric Hunsberger C. Eliasmith BDL 31 192 0 04 Dec 2018
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain Chetan Singh Thakur J. Molin Gert Cauwenberghs Giacomo Indiveri Kundan Kumar ... Jae-sun Seo Shimeng Yu Yu Cao André van Schaik R. Etienne-Cummings 52 236 0 23 May 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 170 8,807 0 25 Aug 2017
Gradient Descent for Spiking Neural Networks Dongsung Huh T. Sejnowski 45 257 0 14 Jun 2017
SuperSpike: Supervised learning in multi-layer spiking neural networks Friedemann Zenke Surya Ganguli 62 562 0 31 May 2017
A Survey of Neuromorphic Computing and Neural Networks in Hardware Catherine D. Schuman T. Potok Robert M. Patton J. Birdwell Mark E. Dean Garrett S. Rose J. Plank 71 696 0 19 May 2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System Sebastian Schmitt Johann Klaehn G. Bellec Andreas Grübl Maurice Guettler ... Robert Legenstein Wolfgang Maass Christian Mayr Johannes Schemmel K. Meier 32 138 0 06 Mar 2017
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 64 940 0 31 Aug 2016
Supervised learning based on temporal coding in spiking neural networks Hesham Mostafa 55 354 0 27 Jun 2016
Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System S. Friedmann Johannes Schemmel Andreas Grübl Andreas Hartel Matthias Hock K. Meier 40 114 0 18 Apr 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing S. K. Esser P. Merolla John V. Arthur A. Cassidy R. Appuswamy ... Pallab Datta A. Amir B. Taba M. Flickner D. Modha 3DH 45 715 0 28 Mar 2016
Spiking Deep Networks with LIF Neurons Eric Hunsberger C. Eliasmith 44 274 0 29 Oct 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 200 18,534 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 844 149,474 0 22 Dec 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 103 12,163 0 19 Dec 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 312 3,099 0 15 Aug 2013