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: spm_induced_optimise.m
    path of file: ./repos/spm12/toolbox/Neural_Models
    
    the code of the file until where you have to start completion: function spm_induced_optimise(Ep,model)
% Demo routine that computes transfer functions for free parameters
%==========================================================================
%
% This an exploratory routine that computes the modulation transfer function
% for a range of parameters and states to enable the spectral responses to 
% be optimised with respect to the model parameters of neural mass models 
% under different hidden states.
%
% By editing the script, one can change the neuronal model or the hidden
% neuronal states that are characterised in terms of induced responses
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
 
% Karl Friston
% $Id: spm_induced_optimise.m 6937 2016-11-20 12:30:40Z karl $
 
 
% Model specification
%==========================================================================
if nargin < 2
    model = 'CMC';
end

% number of regions in coupled map lattice
%--------------------------------------------------------------------------
Nc    = 1;
Ns    = 1;
options.spatial  = 'LFP';
options.model    = upper(model);
M.dipfit.model = options.model;
M.dipfit.type  = options.spatial;
M.dipfit.Nc    = Nc;
M.dipfit.Ns    = Ns;

% within-trial effects: adjust onset relative to pst
%----------------------------------------------------------------------
M.ns   = 64;
M.ons  = 64;
M.dur  = 16;
U.dt   = 1/256;

 
 
% get priors
%--------------------------------------------------------------------------
pE  = spm_dcm_neural_priors({0 0 0},{},1,options.model);
pE  = spm_L_priors(M.dipfit,pE);
pE  = spm_ssr_priors(pE);

%++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

% specify hidden state
%--------------------------------------------------------------------------
% pE.J    = pE.J*0;
% pE.J(3) = 1;

%++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
P   = fieldnames(pE);
P   = {'G','T','S'};

    
function spm_induced_optimise(Ep,model)
% Demo routine that computes transfer functions for free parameters
%==========================================================================
%
% This an exploratory routine that computes the modulation transfer function
% for a range of parameters and states to enable the spectral responses to 
% be optimised with respect to the model parameters of neural mass models 
% under different hidden states.
%
% By editing the script, one can change the neuronal model or the hidden
% neuronal states that are characterised in terms of induced responses
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
 
% Karl Friston
% $Id: spm_induced_optimise.m 6937 2016-11-20 12:30:40Z karl $
 
 
% Model specification
%==========================================================================
if nargin < 2
    model = 'CMC';
end

% number of regions in coupled map lattice
%--------------------------------------------------------------------------
Nc    = 1;
Ns    = 1;
options.spatial  = 'LFP';
options.model    = upper(model);
M.dipfit.model = options.model;
M.dipfit.type  = options.spatial;
M.dipfit.Nc    = Nc;
M.dipfit.Ns    = Ns;

% within-trial effects: adjust onset relative to pst
%----------------------------------------------------------------------
M.ns   = 64;
M.ons  = 64;
M.dur  = 16;
U.dt   = 1/256;

 
 
% get priors
%--------------------------------------------------------------------------
pE  = spm_dcm_neural_priors({0 0 0},{},1,options.model);
pE  = spm_L_priors(M.dipfit,pE);
pE  = spm_ssr_priors(pE);

%++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

% specify hidden state
%--------------------------------------------------------------------------
% pE.J    = pE.J*0;
% pE.J(3) = 1;

%++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
P   = fieldnames(pE);
P   = {'G','T','S'};
%++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 
% use input argument if specified
%--------------------------------------------------------------------------
if nargin, pE = Ep; end