BAUMGARTNER2016_PARAMETRIZATION - Joint optimization of model parameters

Usage:

[gamma,prior] = baumgartner2016_parametrization(s,kv)

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
`prior`	prior expectation paramter

Description:

baumgartner2016_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 baumgartner2016

s = data_baumgartner2016('Long','model'); % Load the experimental data
[gamma,prior] = baumgartner2016_parametrization(s);

References:

R. Baumgartner, P. Majdak, and B. Laback. Modeling the effects of sensorineural hearing loss on auditory localization in the median plane. Trends in Hearing, 20:1--11, 2016. [ DOI ]