felsheim2024_sampledistribution
Samples distributions from the aLIFP model

Usage:

samples = felsheim2024_sampledistribution(spike_struct, num_samples)

Input parameters:

`dists`	Structure array describing the spike distributions as returned by the aLIFP model felsheim2024.
`num_samples`	Number of samples to be drawn from each distribution.

Output parameters:

samples

Time points of the spikes samples from the distributions

Description:

felsheim2024_sampledistribution(..) samples each distribution (in dists) num_samples times. The interdependencies between facilitation and refractory periods of subsequent pulses is not considered. Therefore, sampling from the distribution is only meaningful for a large number of samples. A discussion on this can be found in Felsheim et al. (2024).

References:

R. C. Felsheim and M. Dietz. An adaptive leaky integrate and firing probability model of an electrically stimulated auditory nerve fiber. Trends in Heaaring, 2024. submitted.