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: CBIG_MFMem_rfMRI_nsolver_eul_sto_resLH.m
    path of file: ./repos/CBIG/stable_projects/fMRI_dynamics/Wang2018_MFMem/lib
    
    the code of the file until where you have to start completion: function [FC_simR, CC_check] = CBIG_MFMem_rfMRI_nsolver_eul_sto_resLH(parameter,SC,y_FC,FC_mask,Nstate,Tepochlong,TBOLD,ifHighres)

%-----------------------------------------------------------------------------
% [FC_simR, CC_check] = CBIG_MFMem_rfMRI_nsolver_eul_sto_resLH(parameter,SC,y_FC,FC_mask,Nstate,Tepochlong,TBOLD,ifHighres)
% Function to 
%  (a)solve diffitial equation of dynamic mean field and hemodynamic model using stochastic Euler method 
%  (b)caculate simulated functional connectivity (FC) from simulated BOLD
%  (c)caculate correlation between emprical FC and simulated FC 
%
% Note: This is a modified version of the original function from estimation step:
% CBIG_MFMem_rfMRI_nsolver_eul_sto.m
%
% Input: 
%     - parameter:  given model parameter
%     - SC:         structural connectivity matrix
%     - y_FC:       functional connectivity vector (after mask)
%     - FC_mask:    to select uppertragular elements
%     - Nstate:     noise randon seed
%     - Tepochlong: simulation long in [min], exclusive 2min pre-simulation(casted)
%     - TBOLD:      BOLD-signal time resolution
%     - ifHighres:  High time resolution turn on=1/off=0
%
% Output:
%     - FC_simR:  simulated FC, only entries above main diagonal, in vector form
%     - CC_check: cross correlation of 2 FCs 

    
function [FC_simR, CC_check] = CBIG_MFMem_rfMRI_nsolver_eul_sto_resLH(parameter,SC,y_FC,FC_mask,Nstate,Tepochlong,TBOLD,ifHighres)

%-----------------------------------------------------------------------------
% [FC_simR, CC_check] = CBIG_MFMem_rfMRI_nsolver_eul_sto_resLH(parameter,SC,y_FC,FC_mask,Nstate,Tepochlong,TBOLD,ifHighres)
% Function to 
%  (a)solve diffitial equation of dynamic mean field and hemodynamic model using stochastic Euler method 
%  (b)caculate simulated functional connectivity (FC) from simulated BOLD
%  (c)caculate correlation between emprical FC and simulated FC 
%
% Note: This is a modified version of the original function from estimation step:
% CBIG_MFMem_rfMRI_nsolver_eul_sto.m
%
% Input: 
%     - parameter:  given model parameter
%     - SC:         structural connectivity matrix
%     - y_FC:       functional connectivity vector (after mask)
%     - FC_mask:    to select uppertragular elements
%     - Nstate:     noise randon seed
%     - Tepochlong: simulation long in [min], exclusive 2min pre-simulation(casted)
%     - TBOLD:      BOLD-signal time resolution
%     - ifHighres:  High time resolution turn on=1/off=0
%
% Output:
%     - FC_simR:  simulated FC, only entries above main diagonal, in vector form
%     - CC_check: cross correlation of 2 FCs 
%
% Reference:
%     [1](Deco 2013), Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations.
%     [2](Friston 2000), Nonlinear responses in fMRI: the Balloon model, Volterra kernels, and other hemodynamics.
%
% Written by Peng Wang and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
%----------------------------------------------------------------------------

%caculate first [BOLD,yT,fT,qT,vT,zT,Time], then caculate FC_stim


%<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<
%(a)choose integal time  
%<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<

if size(parameter, 2) > 1
    error('Input argument ''parameter'' should be a column vector');
end