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. 2018 Jun 13;9:2331. doi: 10.1038/s41467-018-04482-4

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© The Author(s) 2018

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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Fig. 4 — Multilayer perceptron classifier. a A perceptron diagram showing portions of the crossbar circuits involved in the experiment. b Graph representation of the implemented network; c Equivalent circuit for the first layer of the perceptron. For clarity, only one hidden layer neuron is shown; d A complete set of training patterns for the 4-class experiment, stylistically representing letters “A”, “T”, “V” and “X”