THE AUDITORY MODELING TOOLBOX

This documentation page applies to an outdated major AMT version. We show it for archival purposes only.
Click here for the documentation menu and here to download the latest AMT (1.6.0).

View the code

Go to function

KELVASA2015_CALIBRATEMAPPING - Produces necessary mappings for localization model

Usage

[mappingData] = kelvasa2015_calibratemapping(varargin)

Input parameters

varargin structure with all parameters required for model. If this is not included, default paramters are loaded.

The output structure "mappingData" has the following fields:
calibHRTFsig :
NxMxS matrix of signal levels in which N is the range of azimuthal angles overwhich the signal was computed, M is the number of time samples,and S are audio channels.
calSpikeDiffPerNeuronPerAzi :
NxMxS matrix of chan2 - chan1 spike rate differences in spikes/sec in which N is the range of azimuthal angles overwhich the signal was computed, M is the number of simulated AN fibers, and S is the number of time bins.
calSpikeRatePerNeuronPerLevel:
NxM matrix of spike rates in spikes/sec in which N is a range of signal levels in dB SPL and M is the number of simulated AN fibers
calParameters :
structure of model paramters used in processing calibration stimulus

kelvasa2015_calibratemapping(varargin) processes a user specified calibration wavfile and extracts the necessary data required to map simulated bilateral neural outputs onto a predicted azimuthal angle. This function computes data required by all three localization models described in (Kelvasa & Dietz(2015)) and can therefore take several hours to process.

References:

D. Kelvasa and M. Dietz. Auditory model-based sound direction estimation with bilateral cochlear implants. Trends in Hearing, 19:2331216515616378, 2015. [ DOI ]

Build with Bootstrap