[ANbinPredictions, weightedPredictions, mappingData] = ... kelvasa2015_localize(mappingData, SpkDiffPerBin, SpkSumPerBin, varargin)
mappingData | Structure containing the necessary data to map bilateral spike rate differences to a predicted azimuthal angle. |
SpkDiffPerBin | N x M matrix of chan2 - chan1 spike rate differences in spikes/sec where N are user defined AN frequency bands and M are time bins over the entire signal. |
SpkSumPerBin | N x M matrix of chan2 + chan1 spike rate sums in spikes/sec where N are user defined AN frequency bands and M are time bins over the entire signal. |
ANbinPredictions | N x M matrix of bin azimuthal angle predictions in degrees with N being the number of user defined AN frequency bands and M being the number of time windows. |
weightedPredictions | |
1 x M vector of bin weighted azimuthal angle predictions in degrees with M being the number of time windows. |
KELVASA2015_localize(APvec,sigLengthSec,varargin)implements a user defined localization model as detailed in (Kelvasa & Dietz (2015)) to map bilateral spike rate differences to a predicted azimuithal source angle.
D. Kelvasa and M. Dietz. Auditory model-based sound direction estimation with bilateral cochlear implants. Trends in Hearing, 19:2331216515616378, 2015. [ DOI ]