h_basis: Create "basis-functions" that make up the pupil spline.

In JoKra1/papss: What the package does (short line)

Create "basis-functions" that make up the pupil spline.

Description

The basis is calculated using the pupil response function originally described by Hoeks & levelt (1993). Wierda et al. (2012) refined it by adding an additional scaling paramter (f). The code here makes use of the convolution operation between a spike unit vector and said pupil response function and is based on the code provided by Wierda et al (2012) in their supplementary materials.

Usage

h_basis(i, expanded_time, expand_by, time, pulse_locations, fact, n, t_max, f)

Arguments

i	An integer representing index of a basis function.
expanded_time	A numeric vector containing positive time values in ms, expanded by a certain amount of ms
expand_by	Expansion time in ms passed to papss::pupil_solve(expand_by=) divided by sample length in ms
time	A numeric vector containing positive time values in ms
pulse_locations	A numeric vector containing index values of pulse loc.
fact	The factor column from the data-frame passed to papss::pupil_solve()
n	Parameter defined by Hoeks & Levelt (number of laters)
t_max	Parameter defined by Hoeks & Levelt (response maximum in ms)
f	Parameter defined by Wierda et al. (scaling factor)

Details

See: Wierda, S. M., van Rijn, H., Taatgen, N. A., & Martens, S. (2012). Pupil dilation deconvolution reveals the dynamics of attention at high temporal resolution. Proceedings of the National Academy of Sciences of the United States of America, 109(22), 8456–8460. https://doi.org/10.1073/pnas.1201858109 See: Hoeks, B., & Levelt, W. (1993). Pupillary dilation as a measure of attention: A quantitative system analysis. Behav. Res. Meth. Ins. C., 25, 16–26.

JoKra1/papss documentation built on June 15, 2022, 8:57 a.m.