Natural-gradient learning for spiking neurons

23 November 2020

Papers citing "Natural-gradient learning for spiking neurons"

15 / 15 papers shown

Title
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons Paul Haider B. Ellenberger Laura Kriener Jakob Jordan Walter Senn Mihai A. Petrovici 29 24 0 27 Oct 2021
A Riemanian Approach to Blob Detection in Manifold-Valued Images Aleksei Shestov Mikhail Kumskov 74 24 0 31 May 2019
Fisher Information and Natural Gradient Learning of Random Deep Networks S. Amari Ryo Karakida Masafumi Oizumi 54 36 0 22 Aug 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 58 237 0 23 May 2018
Dendritic error backpropagation in deep cortical microcircuits João Sacramento Rui Ponte Costa Yoshua Bengio Walter Senn 34 47 0 30 Dec 2017
Natural Langevin Dynamics for Neural Networks Gaétan Marceau-Caron Yann Ollivier BDL 58 30 0 04 Dec 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 35 15 0 17 Mar 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 39 138 0 06 Mar 2017
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 189 6,179 0 15 Sep 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 61 715 0 28 Mar 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,842 0 22 Dec 2014
New insights and perspectives on the natural gradient method James Martens ODL 66 619 0 03 Dec 2014
Riemannian metrics for neural networks I: feedforward networks Yann Ollivier 65 103 0 04 Mar 2013
Revisiting Natural Gradient for Deep Networks Razvan Pascanu Yoshua Bengio ODL 119 388 0 16 Jan 2013
Supervised Learning in Multilayer Spiking Neural Networks Ioana Sporea André Grüning 86 194 0 10 Feb 2012