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. 2018 Jan 23;8:1403. doi: 10.1038/s41598-018-19462-3

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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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Classification accuracy depends on sufficient connectivity and conjunctive neurons in the network. (a) Number of distinguishable classes (of 56) and (b) Number of groups which show correct novel pattern identification when degree of connectivity in the network is changed. It can be seen that with low connectivity resulting in less number of conjunctive neurons the classification behavior is not observed. These results are in agreement with data presented in Fig. 4.