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. 2011 Nov 17;7(11):e1002281. doi: 10.1371/journal.pcbi.1002281

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Kilpatrick, Ermentrout.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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A network of 200 excitatory and 40 inhibitory neurons with supports four clusters here for a population rhythm of about 45 Hz. A Spike times of neurons where index is sorted according to their spike times soonest after . After 60 s, neurons have become thoroughly mixed with other clusters. B Histogram showing frequency of interspike interval (ISI) for all excitatory neurons in network. Large peak is just above the calcium time constant , but smaller peak occurs at a higher ISI. C By zooming the scale of the frequency into , the small peak at larger ISIs is more visible. This suggests neurons switch clusters by skipping one cycle of the fast rhythm. D Correlation coefficient plotted over the domain of to ( to ). Over long time intervals, correlations degrade, due to noise-induced cycle skipping or (rarer) early spiking. E For a tighter lag domain, to ( to ), the ringing at discrete lag intervals due to consistent cluster time intervals is apparent. Same parameters are used here as in Fig. 1.

Inline graphic — A network of 200 excitatory and 40 inhibitory neurons with supports four clusters here for a population rhythm of about 45 Hz. A Spike times of neurons where index is sorted according to their spike times soonest after . After 60 s, neurons have become thoroughly mixed with other clusters. B Histogram showing frequency of interspike interval (ISI) for all excitatory neurons in network. Large peak is just above the calcium time constant , but smaller peak occurs at a higher ISI. C By zooming the scale of the frequency into , the small peak at larger ISIs is more visible. This suggests neurons switch clusters by skipping one cycle of the fast rhythm. D Correlation coefficient plotted over the domain of to ( to ). Over long time intervals, correlations degrade, due to noise-induced cycle skipping or (rarer) early spiking. E For a tighter lag domain, to ( to ), the ringing at discrete lag intervals due to consistent cluster time intervals is apparent. Same parameters are used here as in Fig. 1.