Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks

17 September 2020

Papers citing "Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks"

6 / 56 papers shown

Title
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 50 209 0 12 Mar 2021
The Yin-Yang dataset Laura Kriener Julian Goltz Mihai A. Petrovici 3DH 35 19 0 16 Feb 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 12 20 0 12 Feb 2021
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 35 24 0 30 Mar 2020
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 119 481 0 26 Mar 2018
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 132 257 0 16 Dec 2016