A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights

28 February 2019

Papers citing "A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights"

7 / 7 papers shown

Title
Interpreting CNNs via Decision Trees Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu FAtt 70 323 0 01 Feb 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,881 0 10 Apr 2017
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 92 946 0 31 Aug 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 251 4,681 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 314 7,316 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,902 0 12 Nov 2013
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems Emre Neftci Srinjoy Das Bruno U. Pedroni Ken Kreutz-Delgado Gert Cauwenberghs BDL 87 209 0 05 Nov 2013