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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. 11 — Limit cycles of a double-cluster state calculated with a coarse-grained fixed point algorithm for 100 neurons, plotted in terms of the first order PC coefficient (for V) of one cluster against that of the other cluster (). A normal distribution of ω is considered, with a standard deviation of 0.01 and . The solid line (blue) corresponds to the full integration, and the dashed line (red), which overlays the solid one, corresponds to what is obtained by the coarse fixed point algorithm. Note that these two solutions are visually indistinguishable

Inline graphic — Limit cycles of a double-cluster state calculated with a coarse-grained fixed point algorithm for 100 neurons, plotted in terms of the first order PC coefficient (for V) of one cluster against that of the other cluster (). A normal distribution of ω is considered, with a standard deviation of 0.01 and . The solid line (blue) corresponds to the full integration, and the dashed line (red), which overlays the solid one, corresponds to what is obtained by the coarse fixed point algorithm. Note that these two solutions are visually indistinguishable