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