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. 2017 Jul 13;7:5288. doi: 10.1038/s41598-017-05480-0

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Pattern recognition. (a,b,c) The pattern that was submitted during the training phase, the corresponding synaptic weights after 300 training epochs, and one of the possible 1820 test patterns that were submitted during the recognition phase. (d) Cumulative distribution of the internal potential values measured after the presentation of the recognition patterns. Each sub-distribution corresponds to a given number of pixels shared with the training pattern. By adopting a threshold voltage V_rec = 1.7 V during recognition, only one pattern, i.e., the training pattern, could trigger fire in the POST, thus preventing any false positive.