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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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Connectivity estimates between input and output electrodes: (a) Histogram of number of input electrodes connected to an output electrode in a model generated with random connectivity to replicate the features of the experimental data. (b) Connectivity estimated from the experimental data by fitting the model where experimental data has a stimulus pairing interval of 0.5 ms and (c) with 3 ms. It can be seen that connectivity profiles look similar with an output electrode receiving connections from 3 input electrodes. Also more connectivity is seen with a 0.5 ms pairing showing that temporal integration is more effective at this level of pairing.