How Noisy Adaptation of Neurons Shapes Interspike Interval Histograms and Correlations

doi:10.1371/journal.pcbi.1001026

How Noisy Adaptation of Neurons Shapes Interspike Interval Histograms and Correlations

Figure 5

Shape parameters of the ISIH for deterministic and stochastic adaptation.

A Rescaled skewness for deterministic adaptation (white squares) and for stochastic adaptation (channel model – white circles, diffusion model – black circles, colored noise approximation – gray circles). Different CVs were obtained by varying or . The dashed line depicts the theoretical curve, Eq. (7), and the solid line depicts the semi-analytical result obtained from the moments of the ISI density, Eq. (69), using numerical integration. B The corresponding plot for the rescaled kurtosis . The adaptation time constant was . All other parameters as in Fig. 2.

doi: https://doi.org/10.1371/journal.pcbi.1001026.g005