Current reconstruction using Bayesian inverse filter.
[syntax]
[Zact,Jinfo,bayes_parm,vb_parm,MEGinfo] ...
= vbmeg_current_reconstruct_z_tr(proj_root,curr_parm)
[input]
proj_root: <<string>> VBMEG project root directory.
curr_parm: <<struct>> Parameters for current estimation.
--- fields of curr_parm
bayesfile : <<string>> Model parameter file (.bayes.mat).
currfile : <<string>> Cortical current file (.curr.mat), created
by this function.
jactdir : <<string>> Directory for saving trial current
files. Relative path from cortical current file.
trial_average: <optional> <<bool>> If true,
= [ON] : average current over all sessions
= OFF : current for each session
ix_area : <optional> Vertex indices to calculate estimated
current. If 'ix_area' is empty or not given, cortical
currents in the active region are calculated.
tsubsmpl : <optional> <bosolete> Specify subsampled time
index. If 'tsubsmpl' is empty or not given, time
subsampling is not done.
dsampf : <optional> <<int>> Specify frequency of
downsampling. This value must be smaller than the
original sampling frequency of M/EEG data.
overlap_mode : <optional> <<int>>
= 0 : current is averaged over overlapped time window
= 1 : current is not averaged for overlapped window
current time series of each time windows
are concatenated sequentially for spectral analysis
ix_trial : <optional> Trial indices for which currents are
reconstructed.
verbose : <<bool>> Verbose flag.
---
[note] If following field is given, these values are used instead of
bayes_parm field in result file:
---
curr_parm.basisfile
curr_parm.megfile
curr_parm.twin_meg
curr_parm.Tperiod
curr_parm.Tnext
---
[output]
Zact : active current
Zact(n,t,:) is the current at the vertex 'ix_act(n)' & the time 't'
Zact(Nact,Nsample) for trial_average = ON
Zact(Nact,Nsample,Ntrials) for trial_average = OFF
Nact : # of active region,
Nsample : # of time sample,
Ntrials : # of trials in all session]
Jinfo: <<struct>> Information of cortical current.
--- fields of Jinfo
version : <<string>> Version of cortical current file.
curr_type : <<string>> 'Z-current'. It can be 'J-current' for VBMEG
version 0.8 or older.
Wact : <<float matrix>> Smoothing Gaussian filter, mapping from
Z-current to J-current.
ix_act : <<int vector>>: Vertex indices of Z-current.
ix_act_ex : <<int vector>>: Vertex indices of J-current.
Lact : <<int>> Number of current direction at one vertex.
Tsample : <<int vector>> Time sample indices of the original MEG
data. length(Tsample) == size(Zact,2) == size(Jact,2).
Tmsec : <<float vector>> Time in msec.
SampleFreq: <<float>> Sample frequency of cortical current, not
original M/EEG signal [Hz].
Pretrigger: <<int>> Time points of the length of the pretrigger
period of cortical current data. It is neither actual time
nor time points of the original M/EEG signal.
Ntrial : <<int>> Number of trials of estimated current.
patch_norm: <<bool>> Cortical current is patch size normalized
(Am/m^2) or not (Am).
Tix : <<L x 1 cell>> Time sample indices of each time window.
Zact(:,Tix{n},:) is the set of Z-current within the n-th
time window.
---
[history]
2006-09-03 M. Sato
* Non-overlapped concatenation mode is added for spectral analysis
2008-08-25 Taku Yoshioka
Extra dipole support
2008-09-30 Taku Yoshioka
Minor change for variables in Jinfo
2008-10-23 Taku Yoshioka
Bug fix for current estimation without extra dipoles
2009-04-02 Taku Yoshioka
Parameter name changed within this code for readability
(just replacing 'resultfile' to bayesfile)
2010-03-01 M. Sato
Bug fix for Wact index and fieldname(tsubsamp->tsubsmpl)
2010-05-26 Taku Yoshioka
Message display changed
2010-12-06 taku-y
[enhancement] curr_parm.dsampf supported.
[minor] Following fields of Jinfo set in this function:
SampleFreq
Pretrigger
Tmsec
[trivial] Jinfo.version = vb_version.
2010-12-07 taku-y
[trivial] Jinfo.version = vbmeg('version');
2011-05-11 takiu-y
[debug] Jinfo.Tmsec corrected.
2011-06-28 taku-y
[minor] Jinfo.Tix added.
Copyright (C) 2011, ATR All Rights Reserved.
License : New BSD License(see VBMEG_LICENSE.txt)0001 function [Zact_ave,Jinfo,bayes_parm,vb_parm,MEGinfo,Jext_ave,Pointlist] ... 0002 = vb_current_reconstruct_z_tr(proj_root,curr_parm); 0003 % Current reconstruction using Bayesian inverse filter. 0004 % 0005 % [syntax] 0006 % [Zact,Jinfo,bayes_parm,vb_parm,MEGinfo] ... 0007 % = vbmeg_current_reconstruct_z_tr(proj_root,curr_parm) 0008 % 0009 % [input] 0010 % proj_root: <<string>> VBMEG project root directory. 0011 % curr_parm: <<struct>> Parameters for current estimation. 0012 % --- fields of curr_parm 0013 % bayesfile : <<string>> Model parameter file (.bayes.mat). 0014 % currfile : <<string>> Cortical current file (.curr.mat), created 0015 % by this function. 0016 % jactdir : <<string>> Directory for saving trial current 0017 % files. Relative path from cortical current file. 0018 % trial_average: <optional> <<bool>> If true, 0019 % = [ON] : average current over all sessions 0020 % = OFF : current for each session 0021 % ix_area : <optional> Vertex indices to calculate estimated 0022 % current. If 'ix_area' is empty or not given, cortical 0023 % currents in the active region are calculated. 0024 % tsubsmpl : <optional> <bosolete> Specify subsampled time 0025 % index. If 'tsubsmpl' is empty or not given, time 0026 % subsampling is not done. 0027 % dsampf : <optional> <<int>> Specify frequency of 0028 % downsampling. This value must be smaller than the 0029 % original sampling frequency of M/EEG data. 0030 % overlap_mode : <optional> <<int>> 0031 % = 0 : current is averaged over overlapped time window 0032 % = 1 : current is not averaged for overlapped window 0033 % current time series of each time windows 0034 % are concatenated sequentially for spectral analysis 0035 % ix_trial : <optional> Trial indices for which currents are 0036 % reconstructed. 0037 % verbose : <<bool>> Verbose flag. 0038 % --- 0039 % 0040 % [note] If following field is given, these values are used instead of 0041 % bayes_parm field in result file: 0042 % --- 0043 % curr_parm.basisfile 0044 % curr_parm.megfile 0045 % curr_parm.twin_meg 0046 % curr_parm.Tperiod 0047 % curr_parm.Tnext 0048 % --- 0049 % 0050 % [output] 0051 % Zact : active current 0052 % 0053 % Zact(n,t,:) is the current at the vertex 'ix_act(n)' & the time 't' 0054 % Zact(Nact,Nsample) for trial_average = ON 0055 % Zact(Nact,Nsample,Ntrials) for trial_average = OFF 0056 % Nact : # of active region, 0057 % Nsample : # of time sample, 0058 % Ntrials : # of trials in all session] 0059 % Jinfo: <<struct>> Information of cortical current. 0060 % --- fields of Jinfo 0061 % version : <<string>> Version of cortical current file. 0062 % curr_type : <<string>> 'Z-current'. It can be 'J-current' for VBMEG 0063 % version 0.8 or older. 0064 % Wact : <<float matrix>> Smoothing Gaussian filter, mapping from 0065 % Z-current to J-current. 0066 % ix_act : <<int vector>>: Vertex indices of Z-current. 0067 % ix_act_ex : <<int vector>>: Vertex indices of J-current. 0068 % Lact : <<int>> Number of current direction at one vertex. 0069 % Tsample : <<int vector>> Time sample indices of the original MEG 0070 % data. length(Tsample) == size(Zact,2) == size(Jact,2). 0071 % Tmsec : <<float vector>> Time in msec. 0072 % SampleFreq: <<float>> Sample frequency of cortical current, not 0073 % original M/EEG signal [Hz]. 0074 % Pretrigger: <<int>> Time points of the length of the pretrigger 0075 % period of cortical current data. It is neither actual time 0076 % nor time points of the original M/EEG signal. 0077 % Ntrial : <<int>> Number of trials of estimated current. 0078 % patch_norm: <<bool>> Cortical current is patch size normalized 0079 % (Am/m^2) or not (Am). 0080 % Tix : <<L x 1 cell>> Time sample indices of each time window. 0081 % Zact(:,Tix{n},:) is the set of Z-current within the n-th 0082 % time window. 0083 % --- 0084 % 0085 % [history] 0086 % 2006-09-03 M. Sato 0087 % * Non-overlapped concatenation mode is added for spectral analysis 0088 % 2008-08-25 Taku Yoshioka 0089 % Extra dipole support 0090 % 2008-09-30 Taku Yoshioka 0091 % Minor change for variables in Jinfo 0092 % 2008-10-23 Taku Yoshioka 0093 % Bug fix for current estimation without extra dipoles 0094 % 2009-04-02 Taku Yoshioka 0095 % Parameter name changed within this code for readability 0096 % (just replacing 'resultfile' to bayesfile) 0097 % 2010-03-01 M. Sato 0098 % Bug fix for Wact index and fieldname(tsubsamp->tsubsmpl) 0099 % 2010-05-26 Taku Yoshioka 0100 % Message display changed 0101 % 2010-12-06 taku-y 0102 % [enhancement] curr_parm.dsampf supported. 0103 % [minor] Following fields of Jinfo set in this function: 0104 % SampleFreq 0105 % Pretrigger 0106 % Tmsec 0107 % [trivial] Jinfo.version = vb_version. 0108 % 2010-12-07 taku-y 0109 % [trivial] Jinfo.version = vbmeg('version'); 0110 % 2011-05-11 takiu-y 0111 % [debug] Jinfo.Tmsec corrected. 0112 % 2011-06-28 taku-y 0113 % [minor] Jinfo.Tix added. 0114 % 0115 % Copyright (C) 2011, ATR All Rights Reserved. 0116 % License : New BSD License(see VBMEG_LICENSE.txt) 0117 0118 if ~isempty(proj_root) 0119 bayesfile = [proj_root filesep curr_parm.bayesfile]; 0120 else 0121 bayesfile = curr_parm.bayesfile; 0122 end 0123 0124 % 0125 % Verbose level setting 0126 % (note: 'verbose_level' is not related to input variable 0127 % 'curr_parm.verbose'. So two configurations relating to message display 0128 % are coexisting in this function.) 0129 % 0130 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0131 global vbmeg_inst 0132 verbose_const = vb_define_verbose; 0133 0134 if isempty(vbmeg_inst) | ~isfield(vbmeg_inst,'verbose_level'), 0135 verbose_level = verbose_const.VERBOSE_LEVEL_NOTICE; 0136 else 0137 verbose_level = vbmeg_inst.verbose_level; 0138 end 0139 0140 % 0141 % load VBMEG estimated result 0142 % 0143 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0144 load(bayesfile, 'bayes_parm','Model','vb_parm','Model_ext','Pointlist'); 0145 0146 % 0147 % check parameter of 'curr_parm' 0148 % 0149 % Values of 'curr_parm' fields dominates over 0150 % those of 'bayes_parm' in bayesfile 0151 % 0152 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0153 [bayes_parm,ix_area,trial_average,tsubsamp,overlap_mode,verbose,dsampf] ... 0154 = check_arg(bayes_parm,curr_parm); 0155 0156 if ~isempty(proj_root); 0157 bayes_parm_abs = vb_parm_absolute_path(proj_root, bayes_parm); 0158 else 0159 bayes_parm_abs = bayes_parm; 0160 end 0161 0162 % current file directory 0163 if ~isempty(proj_root) 0164 currfile = [proj_root '/' curr_parm.currfile]; 0165 else 0166 currfile = [curr_parm.currfile]; 0167 end 0168 0169 % jactdir is relative path from current file 0170 jactdir = curr_parm.jactdir; 0171 curr_root = fileparts(currfile); 0172 jactdir_ab = [curr_root '/' jactdir]; 0173 0174 %check directory 0175 if exist(jactdir_ab,'dir') ~= 0 0176 if verbose_level>=verbose_const.VERBOSE_LEVEL_NOTICE, 0177 msg = [ 'jact_dir : ' jactdir_ab ' exists. Do you over write?']; 0178 btn = questdlg(msg, 'confirm', 'Yes', 'No', 'Yes'); 0179 if strcmp(btn, 'No') 0180 error('processing aborted.'); 0181 return; 0182 end 0183 else 0184 vb_disp(['jact_dir : ' jactdir_ab ' exists. \nSo files in this ' ... 0185 'directory are overwritten with new ones.\n'], ... 0186 verbose_const.VERBOSE_LEVEL_WARNING); 0187 end 0188 else 0189 res = mkdir(curr_root, jactdir); 0190 if res~= 1, error('mkdir failed.'); end 0191 end 0192 0193 % Trial indices 0194 if isfield(bayes_parm_abs,'ix_trial'), 0195 bayes_parm_abs.ix_trial = bayes_parm_abs.ix_trial; 0196 elseif isfield(curr_parm,'ix_trial'), 0197 bayes_parm_abs.ix_trial = curr_parm.ix_trial; 0198 else 0199 bayes_parm_abs.ix_trial = []; 0200 end 0201 0202 % 0203 % MEG data preparation 0204 % B : MEG data 0205 % 0206 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0207 [B,Ntrials,Nch,Tsample,Twindow,Tmsec] ... 0208 = vb_megdata_preparation(bayes_parm_abs); 0209 MEGinfo = vb_load_meg_info(bayes_parm_abs.megfile{1}); 0210 0211 % 0212 % Preparation of lead fields 0213 % Gact : leadfield of focal window 0214 % ix_act : Vertex index corresponding to active current Zact 0215 % ix_act_ex : Vertex index corresponding to active current Jact 0216 % Wact : Spatial smoothing matrix of focal window 0217 % 0218 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0219 0220 % Focal window 0221 vb_disp('Lead field matrix of focal window \n'); 0222 0223 lf_parm.brainfile = bayes_parm_abs.brainfile; 0224 lf_parm.areafile = bayes_parm_abs.areafile; 0225 lf_parm.patch_norm = bayes_parm_abs.patch_norm; 0226 lf_parm.expand_spatial_filter = bayes_parm_abs.expand_spatial_filter; 0227 lf_parm.basisfile = bayes_parm_abs.basisfile; 0228 lf_parm.area_key = bayes_parm_abs.area_key; 0229 lf_parm.reduce = bayes_parm_abs.reduce; 0230 lf_parm.Rfilt = bayes_parm_abs.Rfilt; 0231 lf_parm.remove_area_key = []; 0232 0233 [Gact, ix_act, ix_act_ex, Wact, Lact] = ... 0234 vb_leadfield_preparation(lf_parm); 0235 0236 % Extra dipole 0237 if isfield(bayes_parm_abs,'extra') & ~isempty(bayes_parm_abs.extra), 0238 vb_struct2vars(bayes_parm_abs,{'extra'}); 0239 vb_disp('Lead field matrix of extra dipoles \n'); 0240 for n=1:length(extra.basisfile) 0241 tmp = vb_load_basis(extra.basisfile{n}); 0242 Gext{n} = tmp'; 0243 end 0244 else 0245 Gext = []; 0246 end 0247 0248 % 0249 % Area index in which current is calculated 0250 % 0251 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0252 if ~isempty(ix_area), 0253 % Select vertex index 'ix_area' within the active current region 0254 [jx_area_ex, ix_area_ex] = vb_index2indexsub(ix_area, ix_act_ex); 0255 else 0256 jx_area_ex = 1:length(ix_act_ex); 0257 end 0258 0259 Wact = Wact(jx_area_ex,:); 0260 jx_act = find( sum(Wact, 1) > 0); 0261 Wact = Wact(:,jx_act); 0262 0263 % active index of Z-current 0264 ix_act = ix_act(jx_act); 0265 % active index of J-current 0266 ix_act_ex = ix_act_ex(jx_area_ex); 0267 0268 % # of active vertex 0269 Njact_area = length(jx_act); 0270 0271 % # of extra dipoles 0272 if ~isempty(Gext), Njext = size(Gext{1},2); 0273 else Njext = 0; end 0274 0275 % 0276 % Constant 0277 % 0278 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0279 Nsession = length(B); % Number of sessions 0280 Ntotal = sum(Ntrials); % Total number of trials in all sessions 0281 0282 % 0283 % Temporal subsampling index 0284 % 0285 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0286 sampf = MEGinfo.SampleFreq; 0287 0288 if ~isempty(dsampf), 0289 tsubsamp = ceil(1:sampf/dsampf:Tsample); 0290 Jinfo.SampleFreq = dsampf; 0291 elseif isempty(tsubsamp), 0292 tsubsamp = 1:Tsample; 0293 Jinfo.SampleFreq = sampf; 0294 end 0295 0296 Jinfo.Tmsec = Tmsec(tsubsamp); 0297 [tmp,ix] = min(abs(Tmsec(tsubsamp))); 0298 Jinfo.Pretrigger = ix; 0299 0300 % 0301 % Temporal smoothing window weight 0302 % 0303 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0304 [Tweight,Tindex,Nindex,Nsample] = ... 0305 vb_overlapped_timewindow_weight(Twindow,Tsample,tsubsamp, ... 0306 overlap_mode); 0307 0308 Nwindow = length(Nindex); % # of time window 0309 Jinfo.Tix = Nindex; 0310 0311 if overlap_mode == 1, 0312 vb_disp('Non-overlapped concatenation mode\n'); 0313 end 0314 0315 % 0316 % Initialization 0317 % 0318 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0319 0320 % Current averaged over trials 0321 Zact_ave = zeros(Njact_area,Nsample); 0322 Jext_ave = zeros(Njext,Nsample); 0323 0324 % 0325 % Estimated current variance 0326 % 0327 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0328 a_inv = Model.a; 0329 Cov = Model.Cov; 0330 if ~isempty(Model_ext), e_inv = Model_ext.a; 0331 else e_inv = []; end 0332 0333 % 0334 % Time window loop 0335 % 0336 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0337 Ntrial_all = 0; 0338 0339 % Current Info 0340 Jinfo.version = '1.0-0.a.5'; %vbmeg('version'); 0341 Jinfo.curr_type = 'Z-current'; 0342 0343 Jinfo.tindex = tsubsamp; 0344 Jinfo.Lact = Lact; 0345 Jinfo.Wact = Wact; 0346 Jinfo.ix_act = ix_act; 0347 Jinfo.ix_act_ex = ix_act_ex; 0348 Jinfo.NJact = Njact_area; 0349 0350 % MEG time window index 0351 Tstart = bayes_parm.twin_meg(1); 0352 Tend = bayes_parm.twin_meg(2); 0353 if isempty(tsubsamp) 0354 Jinfo.Tsample = Tstart:Tend; 0355 else 0356 Jinfo.Tsample = tsubsamp + Tstart - 1; 0357 end 0358 0359 % Session loop 0360 for n=1:Nsession 0361 Ntry = size(B{n},3); 0362 Ntrials(n) = Ntry; 0363 0364 % Lead field for each session 0365 G = Gact{n}; % Ga 0366 if ~isempty(Gext), Ge = Gext{n}; else Ge = []; end 0367 Covs = Cov{n}; % Sg 0368 Nch = size(G,1); 0369 0370 %%%% Calculate Inverse filter for all time window 0371 for j=1:Nwindow 0372 Nid = Nindex{j}; % index in the total subsampled data 0373 if isempty(Nid), continue; end 0374 0375 if ~isempty(e_inv), 0376 [KW{j},KW_ext{j}] ... 0377 = vb_invfilter_z(a_inv(:,j),G,Covs,jx_act,e_inv(:,j),Ge); 0378 else 0379 [KW{j},KW_ext{j}] ... 0380 = vb_invfilter_z(a_inv(:,j),G,Covs,jx_act,[],[]); 0381 end 0382 end % Timewindow loop END 0383 0384 %%%% Current reconstruction 0385 for m=1:Ntry 0386 Zact = zeros(Njact_area,Nsample); 0387 Jext = zeros(Njext,Nsample); 0388 0389 for j=1:Nwindow 0390 % Subsampling time index 0391 Tid = Tindex{j}; % subsampled time index 0392 Nid = Nindex{j}; % index in the total subsampled data 0393 0394 if isempty(Nid), continue; end 0395 0396 %%%% Time window smoothing 0397 Bt = vb_repmultiply( B{n}(:,Tid,m) , Tweight{j}); 0398 0399 Zact(:,Nid) = Zact(:,Nid) + (KW{j} * Bt); 0400 if ~isempty(KW_ext{j}), 0401 Jext(:,Nid) = Jext(:,Nid) + (KW_ext{j} * Bt); 0402 end 0403 end % Timewindow loop END 0404 0405 % Trial average current 0406 Zact_ave = Zact_ave + Zact; 0407 Jext_ave = Jext_ave + Jext; 0408 Ntrial_all = Ntrial_all + 1; 0409 0410 fname = sprintf('data_s%04dt%04d',n,m); 0411 vb_fsave([jactdir_ab '/' fname], 'Zact','Jinfo','Jext','Pointlist', ... 0412 'MEGinfo','bayes_parm','vb_parm'); 0413 if verbose==1, 0414 fprintf('.') 0415 if rem(m, 20) == 0 % linefeed per 20 0416 fprintf('\n'); 0417 end 0418 elseif verbose==2, 0419 fprintf('progress... session:%04d/%04d, trial:%04d/%04d\n',... 0420 n,Nsession,m,Ntry); 0421 end 0422 end % Trial loop END 0423 end % Session loop END 0424 0425 Zact_ave = Zact_ave/Ntrial_all; 0426 Jext_ave = Jext_ave/Ntrial_all; 0427 0428 Jinfo.Ntrial = Ntrials; 0429 Jinfo.Nsession = Nsession; 0430 Jinfo.jactdir = jactdir; 0431 0432 % ix_act : Vertex index corresponding to active current Zact 0433 % ix_act_ex : Vertex index corresponding to active current Jact 0434 % Wact : Spatial smoothing matrix of focal window 0435 % Jact = Wact * Zact 0436 0437 % Actual time corresponding to columns of Zact, supporting overlap mode 0438 % and non-overlapped concatenation mode 0439 Tid_all = []; 0440 Nid_all = []; 0441 for j=1:Nwindow 0442 Tid_all = [Tid_all Tindex{j}]; 0443 Nid_all = [Nid_all Nindex{j}]; 0444 end 0445 0446 if overlap_mode==false, 0447 ix = unique(Tid_all); 0448 Jinfo.Tmsec = Tmsec(ix); 0449 else 0450 Jinfo.Tmsec = Tmsec(Tid_all); 0451 end 0452 0453 %Tstart = bayes_parm.twin_meg(1); 0454 %Tend = bayes_parm.twin_meg(2); 0455 %if isempty(tsubsamp) 0456 % Jinfo.Tsample = Tstart:Tend; 0457 %else 0458 % Jinfo.Tsample = tsubsamp + Tstart - 1; 0459 %end 0460 0461 if verbose==1, 0462 fprintf('\n') 0463 end 0464 0465 return; 0466 0467 %%%% --------------- 0468 function [bayes_parm,ix_area,trial_average,tsubsamp,overlap_mode,verbose,dsampf]= ... 0469 check_arg(bayes_parm,curr_parm) 0470 0471 if isfield(curr_parm,'basisfile'), 0472 bayes_parm.basisfile = curr_parm.basisfile; 0473 end; 0474 if isfield(curr_parm,'megfile'), 0475 bayes_parm.megfile = curr_parm.megfile ; 0476 end; 0477 if isfield(curr_parm,'twin_meg'), 0478 bayes_parm.twin_meg = curr_parm.twin_meg ; 0479 end; 0480 if isfield(curr_parm,'Tperiod'), 0481 bayes_parm.Tperiod = curr_parm.Tperiod ; 0482 end; 0483 if isfield(curr_parm,'Tnext'), 0484 bayes_parm.Tnext = curr_parm.Tnext ; 0485 end; 0486 0487 if ~isfield(curr_parm,'trial_average'), 0488 trial_average = ON; 0489 else 0490 trial_average = curr_parm.trial_average; 0491 end; 0492 0493 bayes_parm.trial_average = trial_average; 0494 0495 if ~isfield(curr_parm,'ix_area'), 0496 ix_area = []; 0497 else 0498 ix_area = curr_parm.ix_area; 0499 end; 0500 if ~isfield(curr_parm,'tsubsmpl'), 0501 tsubsamp = []; 0502 else 0503 tsubsamp = curr_parm.tsubsmpl; 0504 end; 0505 if ~isfield(curr_parm,'overlap_mode'), 0506 overlap_mode = 0; 0507 else 0508 overlap_mode = curr_parm.overlap_mode; 0509 end; 0510 if ~isfield(curr_parm,'verbose'), 0511 verbose = 1; 0512 else 0513 verbose = curr_parm.verbose; 0514 end; 0515 0516 if isfield(curr_parm,'extra'), 0517 if isfield(curr_parm.extra,'basisfile'), 0518 bayes_parm.extra.basisfile = curr_parm.extra.basisfile; 0519 end; 0520 end; 0521 0522 if ~isfield(curr_parm,'dsampf'), 0523 dsampf = []; 0524 else 0525 dsampf = curr_parm.dsampf; 0526 end 0527 0528 return;