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. 2019 Mar 7;13:95. doi: 10.3389/fnins.2019.00095

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Copyright © 2019 Sengupta, Ye, Wang, Liu and Roy.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The extreme left panel depicts a particular input image from the CIFAR-10 dataset with per pixel mean (over the training set) subtracted that is provided as input to the original ANN. The middle panel represents a particular instance of the Poisson spike train generated from the analog input image. The accumulated events provided to the SNN over 1,000 timesteps is depicted in the extreme right panel. This justifies the fact that the input image is being rate encoded over time for SNN operation.