Inputs_TimeCourses.m
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Inputs_TimeCourses.m
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			% iCAPs-related information
			%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

			% if set to 1, regression will be forced to run, even if already has been done
			param.force_Regression=1;

			% which type of regression should be done,
			% 'unconstrained' - as in the original paper [Karahanoglu et al., NatComm 2015]
			% 'transient-informed' - recommended (default), see [Zoeller et al, IEEE TMI 2018]
			param.regType='transient-informed';

			% parameter for soft cluster assignment in transient-informed regression,
			% can be only one value or a vector of multiple values
			% for details see [Zoeller et al., IEEE TMI 2018]
			param.softClusterThres=[1:0.2:2];

			% choose if for the evaluation of soft cluster assignment factor the
			% correlation between measured and estimated amplitudes should be computed
			% and evaluated. otherwise, only the BIC and AIC results will be evaluated
			param.evalAmplitudeCorrs=0;

			% threshold above which a z-scored iCAPs time course will be considered
			% "active" - according to Karahanoglu et al, NatComm 2015 and Zoller et
			% al., IEEE TMI 2018 we select the default z-score of \|1\|
			param.activityThres=1;