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: demo_Qlearning.m
    path of file: ./repos/PsPM/src/ext/VBA/subfunctions
    
    the code of the file until where you have to start completion: % Q-learning demo
% In psychological terms, motivation can be defined as the set of processes
% that generate goals and thus determine behaviour. A goal is nothing else
% than a ???state of affairs???, to which people attribu
    
function (Q-learning)
g_fname = @g_softmax; % observation function (softmax mapping)
h_fname = @h_randOutcome; % feedback function (reward schedule)

% allocate feedback struture for simulations
fb.inH.er = 1;
fb.inH.vr = 0;
fb.h_fname = h_fname;
fb.indy = 1;
fb.indfb = 2;
u0 = [randn(1,25)>-0.25]; % possible feedbacks
fb.inH.u0 = [u0,~u0,u0,~u0,u0,~u0]; % with reversals

% simulation parameters
theta = sigm(0.75,struct('INV',1)); % learning rate = 0.75
phi = log(2); % inverse temperature = 2
x0 = zeros(2,1);
n_t = size(fb.inH.u0,2)+1; % number of trials
options.binomial = 1;
options.skipf = zeros(1,n_t);
options.skipf(1) = 1; % apply identity mapping from x0 to x1.
[y,x,x0,eta,e,u] = simulateNLSS_fb(n_t,f_fname,g_fname,theta,phi,zeros(2,n_t),Inf,Inf,options,x0,fb);
hf = figure('color',[1 1 1]);
ha = axes('parent',hf,'nextplot','add');
plot(ha,y,'kx')
plot(ha,y-e,'r')
legend