BAUMGARTNER2014_PARAMETRIZATION - Joint optimization of model parameters

Usage:

[gamma,epsilon] = baumgartner2014_parametrization(s)

Input parameters:

`s`	strucure containing subject's data. It must include the following fields: Obj ... the listener's HRTF as SOFA object. itemlist ... the listener's response patterns. (See help localizationerror)

Output parameters:

`gamma`	degree of selectivity in 1/dB
`epsilon`	response scatter in degrees induced by sensorimotor mapping

Description:

baumgartner2014_parametrization(...) jointly optimizes the degree of selectivity \(\Gamma\), the response scatter \(\epsilon\) induced by sensorimotor mapping, and the listener-specific sensitivity \(S_l\).

Examples:

This example shows how to parametrize the model according to the data from baumgartner2014

s = data_baumgartner2014('baseline'); % Load the experimental data
[gamma,epsilon] = baumgartner2014_parametrization(s);

References:

R. Baumgartner, P. Majdak, and B. Laback. Modeling sound-source localization in sagittal planes for human listeners. The Journal of the Acoustical Society of America, 136(2):791--802, 2014. [ DOI ]