function sigma = baumgartner2016_comparisonprocess(tar,tem)
%baumgartner2016_comparisonprocess - Comparison with direction-specific templates
% Usage: sigma = baumgartner2016_comparisonprocess(tar,tem)
%
% Input parameters:
% tar : discharge rate profiles of target sounds (fields: tar.m for
% magnitude and tar.sd for standard deviation)
% tem : discharge rate profiles of templates (fields as for tar)
%
% Output parameters:
% sigma : internal distance metric
%
% BAUMGARTNER2016_COMPARISONPROCESS(...) compares discharge rate profiles
% on the basis of the quotient between rate difference and auditory nerve
% variance (May and Huang, 1997; Reiss et al., 2011)
%
% References:
% B. J. May and A. Y. Huang. Spectral cues for sound localization in
% cats: A model for discharge rate representation in the auditory nerve.
% J. Acoust. Soc. Am., 101:2705--2719, 1997.
%
% L. A. J. Reiss, R. Ramachandran, and B. J. May. Effects of signal level
% and background noise on spectral representations in the auditory nerve
% of the domestic cat. Journal of the Association for Research in
% Otolaryngology, 12(1):71--88, 2011. [1]http ]
%
% References
%
% 1. http://link.springer.com/article/10.1007/s10162-010-0232-5
%
%
% Url: http://amtoolbox.sourceforge.net/amt-0.10.0/doc/modelstages/baumgartner2016_comparisonprocess.php
% Copyright (C) 2009-2020 Piotr Majdak and the AMT team.
% This file is part of Auditory Modeling Toolbox (AMT) version 1.0.0
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
% AUTHOR: Robert Baumgartner
% Unbiased statistical index of rate discrimination acc. to Eq. 1 of
% may1997
sigma=zeros(size(tem.m,2),size(tar,2),size(tem.m,3),size(tem.m,4),size(tar,5)); % init
for itime = 1:size(tar.m,5)
for itang = 1:size(tar.m,2)
isd = repmat(tar.m(:,itang,:,:,itime),[1,size(tem.m,2),1,1]) - tem.m;
sd = sqrt( repmat(tar.sd(:,itang,:,:,itime),[1,size(tem.sd,2),1,1]).^2 + tem.sd.^2);
dprime = isd./sd;
sigma(:,itang,:,:,itime) = nanmean(abs(dprime),1);
end
end
end