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. 2010 Dec 16;6(12):e1001026. doi: 10.1371/journal.pcbi.1001026

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Schwalger et al.

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 ISI densities in the case of deterministic adaptation () for different noise intensities . Gray bars show the histograms obtained from simulations of Eq. (2); solid lines display the mean-adaptation approximation, Eq. (64) (inverse Gaussian density). B ISI densities in the case of stochastic adaptation () for different as indicated in the panels. The adaptation current was modeled either by the channel model (gray bars), Eq. (20), or by the diffusion model (circles), Eq. (1). The theory, Eq. (69), is displayed as a solid line. Parameters are chosen as in Fig. 2.

Inline graphic — A ISI densities in the case of deterministic adaptation () for different noise intensities . Gray bars show the histograms obtained from simulations of Eq. (2); solid lines display the mean-adaptation approximation, Eq. (64) (inverse Gaussian density). B ISI densities in the case of stochastic adaptation () for different as indicated in the panels. The adaptation current was modeled either by the channel model (gray bars), Eq. (20), or by the diffusion model (circles), Eq. (1). The theory, Eq. (69), is displayed as a solid line. Parameters are chosen as in Fig. 2.