You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: Example2.m
    path of file: ./repos/CanlabCore/CanlabCore/HRF_Est_Toolbox2
    
    the code of the file until where you have to start completion: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Example code for estimating the HRF using the Inverse-Logit Model, a
% Finte Impluse Response Model and the Canonical HRF with 2 derivatives.
% Also the code illustrates our code for detecting model misspecification. 
%
% By Martin Lindquist and Tor Wager
% Created  03/09/23
% Last edited 03/09/23
% Added multi-simulus simulation to Example.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Create time course
%

mypath = which('ilogit');
if isempty(mypath), error('Cannot find directory with ilogit.m and other functions. Not on path?'); end
[mydir] = fileparts(mypath);

load(fullfile(mydir,'timecourse'))

tc = (tc- mean(tc))/std(tc);
len = length(tc);


%%
% Create HRFs

[xBF] = spm_get_bf(struct('dt', .5, 'name', 'hrf (with time and dispersion derivatives)', 'length', 32));
clear Xtrue1
for i = 1:1, xx = conv(
    
function to add onset sticks to plot. Skipping.')
end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Fit HRF using IL-function

% Choose mode (deterministic/stochastic)

mode = 0;   % 0 - deterministic aproach 
            % 1 - simulated annealing approach
            % Please note that when using simulated annealing approach you
            % may need to perform some tuning before use.

[h1, fit1, e1, param] = Fit_Logit2(tc,TR,Runc,T,mode);
[pv sres sres_ns1] = ResidScan(e1, FWHM);
[PowLoss1] = PowerLoss(e1, fit1, (len-7) , tc, TR, Runc, alpha);

hold on; han(2) = plot(fit1,'r');

disp('Summary: IL_function');

disp('Amplitude:'); disp(param(1,:));
disp('Time-to-peak:'); disp(param(2,:)*TR);
disp('Width:'); disp(param(3,:)*TR);

disp('MSE:'); disp((1/(len-1)*sum(e1.^2)));
disp('Mis-modeling:'); disp(pv);
disp('Power Loss:'); disp(PowLoss1);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Fit HRF using FIR-model

% Choose mode (FIR/sFIR)

mode = 1;   % 0 - FIR 
            % 1 - smooth FIR
            
[h2, fit2, e2, param] = Fit_sFIR(tc,TR,Runc,T,mode);
[pv sres sres_ns2] = ResidScan(e2, FWHM);
[PowLoss2] = PowerLoss(e2, fit2, (len-T) , tc, TR, Runc, alpha);

hold on; han(3) = plot(fit2,'g');

disp('Summary: FIR');

disp('Amplitude'); disp(param(1,:));
disp('Time-to-peak'); disp(param(2,:)*TR);
disp('Width'); disp(param(3,:)*TR);

disp('MSE:'); disp((1/(len-1)*sum(e2.^2)));
disp('Mis-modeling'); disp(pv);
disp('Power Loss:'); disp(PowLoss2);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Fit HRF using Canonical HRF + 2 derivatives

p=1;
      
[h3, fit3, e3, param, info] = Fit_Canonical_HRF(tc,TR,Runc,30,p);
[pv sres sres_ns3] = ResidScan(e3, FWHM);
[PowLoss3] = PowerLoss(e3, fit3, (len-p) , tc, TR, Runc, alpha);

hold on; han(4) = plot(fit3,'m');


disp('Summary: Canonical + 2 derivatives');

disp('Amplitude'); disp(param(1,:));
disp('Time-to-peak'); disp(param(2,:)*TR);
disp('Width'); disp(param(3,:)*TR);

disp('MSE:'); disp((1/(len-1)*sum(e3.^2)));
disp('Mis-modeling'); disp(pv);
disp('Power Loss:'); disp(PowLoss3);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Fit HRF using Bsplines

[h4, fit4, e4, param] = Fit_Spline(tc, TR, Runc, T);

[pv sres sres_ns4] = ResidScan(e4, FWHM);
[PowLoss4] = PowerLoss(e4, fit4, (len-p) , tc, TR, Runc, alpha);

hold on; han(5) = plot(fit4,'b');


disp('Summary: Spline');

disp('Amplitude'); disp(param(1,:));
disp('Time-to-peak'); disp(param(2,:)*TR);
disp('Width'); disp(param(3,:)*TR);

disp('MSE:'); disp((1/(len-1)*sum(e4.^2)));
disp('Mis-modeling'); disp(pv);
disp('Power Loss:'); disp(PowLoss4);


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Fit HRF using non-linear gamma

[h5, fit5, e5, param] = Fit_NLgamma(tc, TR, Runc, T);

[pv sres sres_ns5] = ResidScan(e5, FWHM);
[PowLoss5] = PowerLoss(e5, fit5, (len-p) , tc, TR, Runc, alpha);

hold on; han(6) = plot(fit5,'b');

legend