function [SNR, SNRconservative] = get_snr(data,goodtrials,t,baselinewin)
    % this function calculates two different estimates of SNR, a normal one
    % and a conservative one. 
    % input: 
    % - data (has to be NORMALIZED so the peak response is 1)
    % - boolean array of good trials, only good trials are included in std
    % calculation
    % - time axis in same unit as baseline window
    % - [start end] baseline window
    % 
    % Rob Teeuwen 20190815

    % first average the baseline window for each trial to get a single
    % baseline value per trial. then calculate the standard deviation
    % of all baseline values. divide 1 by this std (because we
    % normalized, so 1 is the peak response). 
    bl = find(t>baselinewin(1) & t<baselinewin(2));
    
    baselines = nanmean(data(bl,goodtrials==1),1); % baselines is 1xtrls array

    SNR = 1/(std(baselines));        

    % calculate a conservative SNR as well, first calculate the std for
    % each trial, then average the stds. 
    baselinedev = std(data(bl,goodtrials==1));

    SNRconservative = 1/(mean(baselinedev));
end