function[trials] = calculate_statistics(trials)

item_struct = struct('time', [], 'value', []);
stats_struct = struct('max', item_struct, ...
    'mean', [], ...
    'median', [], ...
    'mode', [], ...
    'std', [], ...
    'q1', [],...
    'q2', [],...
    'q3', [],...
    'auc', []);
for t = 1:length(trials)
    trial = trials(t);
    eyes = fieldnames(trial.data);
    
    for e = 1:length(eyes)
        try            
            eye = eyes{e};
            trial.stats.(eye) = stats_struct;
            
            signal = trial.data.(eye).baseline_corrected.filtered;
            
            if isempty(signal)
                continue;
            end
            
            % only relevant after stimulus onset
            trial_after_so  = trial.data.(eye).baseline_corrected.filtered(find(trial.time > trial.stimulus_onset));
            trial_before_so = trial.data.(eye).baseline_corrected.filtered(find(trial.time <= trial.stimulus_onset));
            
            % calculate stats from trial trace
            max_after_so = max(trial_after_so);
            max_ind = length(trial_before_so) + find(trial_after_so==max_after_so);
            delta_t = trial.time(max_ind(1)) - trial.stimulus_onset;
            
            mean_after_so = mean(trial_after_so);
            std_after_so =  std(trial_after_so);
            mode_after_so = mode(trial_after_so);
            median_after_so = median(trial_after_so);
            
            q1 = prctile(trial_after_so, 25);
            q2 = median_after_so;
            q3 = prctile(trial_after_so, 75);
            
            % store values in trial
            trial.stats.(eye).max.value = max_after_so;
            trial.stats.(eye).max.time = delta_t;
            trial.stats.(eye).median = median_after_so;
            trial.stats.(eye).mean = mean_after_so;
            trial.stats.(eye).std = std_after_so;
            trial.stats.(eye).mode = mode_after_so;
            trial.stats.(eye).q1 = q1;
            trial.stats.(eye).q2 = q2;
            trial.stats.(eye).q3 = q3;
            trial.stats.(eye).auc = trapz(trial_after_so);
            
        catch
            warning('No statistics generated for trial');
        end
    end
    % store trial back in array
    trials(t) = trial;
end

end