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. 2018 May 23;12:331. doi: 10.3389/fnins.2018.00331

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Copyright © 2018 Wu, Deng, Li, Zhu and Shi.

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 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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Static dataset experiments. (A) A custom dataset for object detection. This dataset is a two-category image set built by our lab for pedestrian detection. By detecting whether there is a pedestrian, an image sample is labeled by 0 or 1. The images in the yellow boxes are labeled as 1, and the rest ones are marked as 0. (B) MNIST dataset. (C) Raster plot of the spike pattern converted from the center patch of 5 × 5 pixels of a sample in the object detection dataset (up) and MNIST (down). (D) Raster plot presents the comparison of output spike pattern over a digit 9 in MNIST dataset before and after the STBP training.