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. 2017 Mar 29;14(128):20160968. doi: 10.1098/rsif.2016.0968

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© 2017 The Authors.

Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

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Figure 4. — (a) The second classifier identifies the system as ‘in AF’ if the proportion of active cells is greater than 0.5 for more than 2 s. (b) The onset time of AF is a random time τ, and the cumulative distribution of τ is plotted for selected parameter sets. The data were fitted by an exponential function . Note that when we varied BR, the cumulative distribution was monotonically decreasing for any given time. This indicates that the second classifier identifies the transition rate to enter AF is a monotonic increasing function of BR, in contrast to figure 3 where AF is mostly induced at the intermediate regime of BR.

Inline graphic — (a) The second classifier identifies the system as ‘in AF’ if the proportion of active cells is greater than 0.5 for more than 2 s. (b) The onset time of AF is a random time τ, and the cumulative distribution of τ is plotted for selected parameter sets. The data were fitted by an exponential function . Note that when we varied BR, the cumulative distribution was monotonically decreasing for any given time. This indicates that the second classifier identifies the transition rate to enter AF is a monotonic increasing function of BR, in contrast to figure 3 where AF is mostly induced at the intermediate regime of BR.