Usage

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

Description

Input parameter:

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 parameter:

gamma : degree of selectivity in 1/dB

prior : prior expectation paramter

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);