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"

21 / 21 papers shown

Title
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks Yulong Huang Xiaopeng Lin Hongwei Ren Haotian Fu Yue Zhou Zunchang Liu Biao Pan Bojun Cheng 93 15 0 20 Feb 2025
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity Jamie Lohoff Anil Kaya Florian Assmuth Emre Neftci 134 1 0 20 Jan 2025
Expressivity of Neural Networks with Random Weights and Learned Biases Ezekiel Williams Avery Hee-Woon Ryoo Thomas Jiralerspong Alexandre Payeur M. Perich Luca Mazzucato Guillaume Lajoie 100 2 0 01 Jul 2024
Delving Deeper Into Astromorphic Transformers Md. Zesun Ahmed Mia Malyaban Bal Abhronil Sengupta 121 1 0 18 Dec 2023
Smooth Exact Gradient Descent Learning in Spiking Neural Networks Christian Klos Raoul-Martin Memmesheimer 113 6 0 25 Sep 2023
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks Thomas Nowotny J. Turner James C. Knight 74 15 0 02 Dec 2022
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection Flavio Martinelli Giorgia Dellaferrera Pablo Mainar Milos Cernak 36 31 0 22 Oct 2019
Gradient Descent for Spiking Neural Networks Dongsung Huh T. Sejnowski 61 257 0 14 Jun 2017
Pattern representation and recognition with accelerated analog neuromorphic systems Mihai A. Petrovici Sebastian Schmitt Johann Klähn Robert D. St. Louis A. Schroeder ... Wolfgang Maass R. Schüffny Christian Mayr Johannes Schemmel K. Meier 45 15 0 17 Mar 2017
Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network Aditya Gilra W. Gerstner 42 80 0 21 Feb 2017
Deep Learning Models of the Retinal Response to Natural Scenes Lane T. McIntosh Niru Maheswaranathan Aran Nayebi Surya Ganguli S. Baccus 62 254 0 06 Feb 2017
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity Thomas Mesnard W. Gerstner Johanni Brea 46 17 0 09 Dec 2016
Learning in the Machine: Random Backpropagation and the Deep Learning Channel Pierre Baldi Peter Sadowski Zhiqin Lu AAML 51 16 0 08 Dec 2016
Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding Brian Gardner André Grüning 31 52 0 14 Jan 2016
Representational Distance Learning for Deep Neural Networks Patrick McClure N. Kriegeskorte 52 48 0 12 Nov 2015
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units Zhibin Liao G. Carneiro 46 63 0 03 Aug 2015
Encoding Spike Patterns in Multilayer Spiking Neural Networks Brian Gardner Ioana Sporea André Grüning AI4CE 31 42 0 31 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 246 16,361 0 30 Apr 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 381 3,135 0 15 Aug 2013
Supervised Learning in Multilayer Spiking Neural Networks Ioana Sporea André Grüning 100 194 0 10 Feb 2012