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. 2015 Jan 12;5:2. doi: 10.1186/2190-8567-5-2

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© S.J. Moon et al.; licensee Springer 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 4 — The same type of snapshot for 40 neurons as in Fig. 2, but when the heterogeneity exists in the current, , where and ’s are uniformly drawn from . The other parameters that were heterogeneous in the previous figures, g and τ are kept at 3.0 and 1.0 throughout the neurons, respectively. In this case, a slightly different type of double-cluster states form, as well as the single cluster states. While the correlation still exists, only a specific portion of ω (of positive values) breaks up to form double clusters

Inline graphic — The same type of snapshot for 40 neurons as in Fig. 2, but when the heterogeneity exists in the current, , where and ’s are uniformly drawn from . The other parameters that were heterogeneous in the previous figures, g and τ are kept at 3.0 and 1.0 throughout the neurons, respectively. In this case, a slightly different type of double-cluster states form, as well as the single cluster states. While the correlation still exists, only a specific portion of ω (of positive values) breaks up to form double clusters