Current reconstruction using Bayesian inverse filter.
[syntax]
[Zact,Jinfo,bayes_parm,vb_parm,MEGinfo,Jext,Pointlist] ...
= vbmeg_current_reconstruct_z(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.
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
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
curr_parm.extra.basisfile (for extra dipole)
---
[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]
--- 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.
---
* Inverse filter calculation is done in vb_invfilter_calc
[history]
2006-09-03 M. Sato
* Non-overlapped concatenation mode is added for spectral analysis
2008-08-19 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)
2010-12-06 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.
2017-03-16 rhayashi
spatial_smoother is added.
2017-12-8 rhayashi
[debug] The specified eegfile not used.
Copyright (C) 2011, ATR All Rights Reserved.
License : New BSD License(see VBMEG_LICENSE.txt)0001 function [Zact,Jinfo,bayes_parm,vb_parm,MEGinfo,Jext,Pointlist] ... 0002 = vb_current_reconstruct_z_meeg(proj_root, curr_parm) 0003 % Current reconstruction using Bayesian inverse filter. 0004 % 0005 % [syntax] 0006 % [Zact,Jinfo,bayes_parm,vb_parm,MEGinfo,Jext,Pointlist] ... 0007 % = vbmeg_current_reconstruct_z(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 % trial_average: <optional> <<bool>> If true, 0017 % = [ON] : average current over all sessions 0018 % = OFF : current for each session 0019 % ix_area : <optional> Vertex indices to calculate estimated 0020 % current. If 'ix_area' is empty or not given, cortical 0021 % currents in the active region are calculated. 0022 % tsubsmpl : <optional> <bosolete> Specify subsampled time 0023 % index. If 'tsubsmpl' is empty or not given, time 0024 % subsampling is not done. 0025 % dsampf : <optional> <<int>> Specify frequency of 0026 % downsampling. This value must be smaller than the 0027 % original sampling frequency of M/EEG data. 0028 % overlap_mode : <optional> <<int>> 0029 % = 0 : current is averaged over overlapped time window 0030 % = 1 : current is not averaged for overlapped window 0031 % current time series of each time windows 0032 % are concatenated sequentially for spectral analysis 0033 % verbose : <<bool>> Verbose flag. 0034 % --- 0035 % 0036 % [note] If following field is given, these values are used instead of 0037 % bayes_parm field in result file: 0038 % --- 0039 % curr_parm.basisfile 0040 % curr_parm.megfile 0041 % curr_parm.twin_meg 0042 % curr_parm.Tperiod 0043 % curr_parm.Tnext 0044 % curr_parm.extra.basisfile (for extra dipole) 0045 % --- 0046 % 0047 % [output] 0048 % Zact : active current 0049 % 0050 % Zact(n,t,:) is the current at the vertex 'ix_act(n)' & the time 't' 0051 % Zact(Nact,Nsample) for trial_average = ON 0052 % Zact(Nact,Nsample,Ntrials) for trial_average = OFF 0053 % Nact : # of active region, 0054 % Nsample : # of time sample, 0055 % Ntrials : # of trials in all session] 0056 % --- fields of Jinfo 0057 % version : <<string>> Version of cortical current file. 0058 % curr_type : <<string>> 'Z-current'. It can be 'J-current' for VBMEG 0059 % version 0.8 or older. 0060 % Wact : <<float matrix>> Smoothing Gaussian filter, mapping from 0061 % Z-current to J-current. 0062 % ix_act : <<int vector>>: Vertex indices of Z-current. 0063 % ix_act_ex : <<int vector>>: Vertex indices of J-current. 0064 % Lact : <<int>> Number of current direction at one vertex. 0065 % Tsample : <<int vector>> Time sample indices of the original MEG 0066 % data. length(Tsample) == size(Zact,2) == size(Jact,2). 0067 % Tmsec : <<float vector>> Time in msec. 0068 % SampleFreq: <<float>> Sample frequency of cortical current, not 0069 % original M/EEG signal [Hz]. 0070 % Pretrigger: <<int>> Time points of the length of the pretrigger 0071 % period of cortical current data. It is neither actual time 0072 % nor time points of the original M/EEG signal. 0073 % Ntrial : <<int>> Number of trials of estimated current. 0074 % patch_norm: <<bool>> Cortical current is patch size normalized 0075 % (Am/m^2) or not (Am). 0076 % Tix : <<L x 1 cell>> Time sample indices of each time window. 0077 % Zact(:,Tix{n},:) is the set of Z-current within the n-th 0078 % time window. 0079 % --- 0080 % 0081 % * Inverse filter calculation is done in vb_invfilter_calc 0082 % 0083 % [history] 0084 % 2006-09-03 M. Sato 0085 % * Non-overlapped concatenation mode is added for spectral analysis 0086 % 2008-08-19 Taku Yoshioka 0087 % Extra dipole support 0088 % 2008-09-30 Taku Yoshioka 0089 % Minor change for variables in Jinfo 0090 % 2008-10-23 Taku Yoshioka 0091 % Bug fix for current estimation without extra dipoles 0092 % 2009-04-02 Taku Yoshioka 0093 % Parameter name changed within this code for readability 0094 % (just replacing 'resultfile' to bayesfile) 0095 % 2010-03-01 M. Sato 0096 % Bug fix for Wact index and fieldname(tsubsamp->tsubsmpl) 0097 % 2010-12-06 taku-y 0098 % [enhancement] curr_parm.dsampf supported. 0099 % [minor] Following fields of Jinfo set in this function: 0100 % SampleFreq 0101 % Pretrigger 0102 % Tmsec 0103 % [trivial] Jinfo.version = vb_version. 0104 % 2010-12-07 taku-y 0105 % [trivial] Jinfo.version = vbmeg('version'); 0106 % 2011-05-11 takiu-y 0107 % [debug] Jinfo.Tmsec corrected. 0108 % 2011-06-28 taku-y 0109 % [minor] Jinfo.Tix added. 0110 % 2017-03-16 rhayashi 0111 % spatial_smoother is added. 0112 % 2017-12-8 rhayashi 0113 % [debug] The specified eegfile not used. 0114 % Copyright (C) 2011, ATR All Rights Reserved. 0115 % License : New BSD License(see VBMEG_LICENSE.txt) 0116 0117 if ~isempty(proj_root) 0118 bayesfile = fullfile(proj_root, curr_parm.bayesfile); 0119 else 0120 bayesfile = curr_parm.bayesfile; 0121 end 0122 0123 % 0124 % Verbose level setting 0125 % (note: 'verbose_level' is not related to input variable 0126 % 'curr_parm.verbose'. So two configurations relating to message display 0127 % are coexisting in this function.) 0128 % 0129 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0130 global vbmeg_inst 0131 verbose_const = vb_define_verbose; 0132 0133 if isempty(vbmeg_inst) | ~isfield(vbmeg_inst,'verbose_level'), 0134 verbose_level = verbose_const.VERBOSE_LEVEL_NOTICE; 0135 else 0136 verbose_level = vbmeg_inst.verbose_level; 0137 end 0138 0139 % 0140 % load VBMEG estimated result 0141 % 0142 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0143 load(bayesfile, 'bayes_parm','Model','vb_parm','Model_ext','Pointlist'); 0144 0145 % 0146 % check parameter of 'curr_parm' 0147 % 0148 % Values of 'curr_parm' fields dominates over 0149 % those of 'bayes_parm' in bayesfile 0150 % 0151 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0152 [bayes_parm,ix_area,trial_average,tsubsamp,overlap_mode,dsampf] ... 0153 = check_arg(bayes_parm, curr_parm); 0154 0155 if ~isempty(proj_root) 0156 bayes_parm_abs = vb_parm_absolute_path(proj_root, bayes_parm); 0157 else 0158 bayes_parm_abs = bayes_parm; 0159 end 0160 0161 % 0162 % MEG data preparation 0163 % B : MEG data 0164 % 0165 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0166 [B0,Ntrials,Nch,Tsample,Twindow,Tmsec] ... 0167 = vb_megdata_preparation(bayes_parm_abs); 0168 MEGinfo = vb_load_meg_info(bayes_parm_abs.megfile{1}); 0169 0170 % EEG data 0171 for n = 1:length(bayes_parm_abs.eegfile) 0172 bayes_parm_abs.eegfile{n} = fullfile(proj_root, bayes_parm_abs.eegfile{n}); 0173 end 0174 tmp_parm = bayes_parm_abs; 0175 tmp_parm.megfile = tmp_parm.eegfile; 0176 E = vb_megdata_preparation(tmp_parm); 0177 0178 for n = 1:length(B0) 0179 B{n} = [B0{n}./Model.bsnorm_meg; E{n}./Model.bsnorm_eeg]; 0180 end 0181 % 0182 % Preparation of lead fields 0183 % Gact : leadfield of focal window 0184 % ix_act : Vertex index corresponding to active current Zact 0185 % ix_act_ex : Vertex index corresponding to active current Jact 0186 % Wact : Spatial smoothing matrix of focal window 0187 % 0188 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0189 0190 % Focal window 0191 vb_disp('--- Lead field matrix of focal window'); 0192 0193 %MEG 0194 lf_parm.basisfile = fullfile(proj_root, bayes_parm_abs.basisfile_meg); 0195 0196 lf_parm.brainfile = bayes_parm_abs.brainfile; 0197 lf_parm.areafile = bayes_parm_abs.areafile; 0198 lf_parm.patch_norm = bayes_parm_abs.patch_norm; 0199 lf_parm.expand_spatial_filter = bayes_parm_abs.expand_spatial_filter; 0200 lf_parm.spatial_smoother = bayes_parm_abs.spatial_smoother; 0201 lf_parm.area_key = bayes_parm_abs.area_key; 0202 lf_parm.reduce = bayes_parm_abs.reduce; 0203 lf_parm.Rfilt = bayes_parm_abs.Rfilt; 0204 lf_parm.remove_area_key = []; 0205 0206 [Gact_b, ix_act, ix_act_ex, Wact, Lact] = vb_leadfield_preparation(lf_parm); 0207 0208 %EEG 0209 lf_parm.basisfile = fullfile(proj_root, bayes_parm_abs.basisfile_eeg); 0210 Gact_e = vb_leadfield_preparation(lf_parm); 0211 0212 for n = 1:length(Gact_b) 0213 Gact{n} = [Gact_b{n}./Model.bsnorm_meg; Gact_e{n}./Model.bsnorm_eeg]; 0214 end 0215 0216 % Extra dipole 0217 if isfield(bayes_parm_abs,'extra') & ~isempty(bayes_parm_abs.extra), 0218 vb_struct2vars(bayes_parm_abs,{'extra'}); 0219 fprintf('--- Lead field matrix of extra dipoles \n'); 0220 for n=1:length(extra.basisfile) 0221 tmp = vb_load_basis(extra.basisfile{n}); 0222 Gext{n} = tmp'; 0223 end 0224 else 0225 Gext = []; 0226 end 0227 0228 % 0229 % Area index in which current is calculated 0230 % 0231 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0232 if ~isempty(ix_area), 0233 % Select vertex index 'ix_area' within the active current region 0234 [jx_area_ex, ix_area_ex] = vb_index2indexsub(ix_area, ix_act_ex); 0235 else 0236 jx_area_ex = 1:length(ix_act_ex); 0237 end 0238 0239 Wact = Wact(jx_area_ex,:); 0240 jx_act = find( sum(Wact, 1) > 0); 0241 Wact = Wact(:,jx_act); 0242 0243 % active index of Z-current 0244 ix_act = ix_act(jx_act); 0245 % active index of J-current 0246 ix_act_ex = ix_act_ex(jx_area_ex); 0247 0248 % # of active vertex 0249 Njact_area = length(jx_act); 0250 0251 % # of extra dipoles 0252 if ~isempty(Gext), Njext = size(Gext{1},2); 0253 else Njext = 0; end 0254 0255 % 0256 % Constant 0257 % 0258 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0259 Nsession = length(B); % Number of sessions 0260 Ntotal = sum(Ntrials); % Total number of trials in all sessions 0261 0262 % 0263 % Temporal subsampling index 0264 % 0265 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0266 sampf = MEGinfo.SampleFreq; 0267 0268 if ~isempty(dsampf), 0269 tsubsamp = ceil(1:sampf/dsampf:Tsample); 0270 Jinfo.SampleFreq = dsampf; 0271 else 0272 if isempty(tsubsamp), tsubsamp = 1:Tsample; end 0273 Jinfo.SampleFreq = sampf; 0274 end 0275 0276 %Jinfo.Tmsec = Tmsec(tsubsamp); 0277 [tmp,ix] = min(abs(Tmsec(tsubsamp))); 0278 Jinfo.Pretrigger = ix; 0279 0280 % 0281 % Temporal smoothing window weight 0282 % 0283 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0284 [Tweight ,Tindex, Nindex, Nsample] = ... 0285 vb_overlapped_timewindow_weight(Twindow, Tsample, tsubsamp, overlap_mode); 0286 0287 Nwindow = length(Nindex); % # of time window 0288 Jinfo.Tix = Nindex; 0289 0290 if overlap_mode == 1, 0291 vb_disp('Non-overlapped concatenation mode'); 0292 end 0293 0294 % 0295 % Initialization 0296 % 0297 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0298 if trial_average == ON 0299 % Current averaged over trials 0300 Zact = zeros(Njact_area,Nsample); 0301 Jext = zeros(Njext,Nsample); 0302 else 0303 % Current for each trial 0304 Zact = zeros(Njact_area,Nsample,Ntotal); 0305 Jext = zeros(Njext,Nsample,Ntotal); 0306 end 0307 0308 % 0309 % Estimated current variance 0310 % 0311 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0312 a_inv = Model.a; 0313 Cov = Model.Cov; 0314 if ~isempty(Model_ext), e_inv = Model_ext.a; 0315 else e_inv = []; end 0316 0317 % 0318 % Time window loop 0319 % 0320 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0321 for j=1:Nwindow 0322 % Subsampling time index 0323 Tid = Tindex{j}; % subsampled time index 0324 Nid = Nindex{j}; % index in the total subsampled data 0325 Nt = length(Tid); 0326 0327 if Nt == 0, continue; end 0328 0329 % Session loop 0330 ntrial = 1; 0331 0332 for n=1:Nsession 0333 Ntry = Ntrials(n); 0334 0335 G = Gact{n}; % Ga 0336 if ~isempty(Gext), Ge = Gext{n}; else Ge = []; end 0337 Covs = Cov{n}; % Sg 0338 Nch = size(G,1); 0339 0340 %%%% Calculate Inverse filter for current reconstruction 0341 if ~isempty(e_inv), 0342 [KW,KW_ext] ... 0343 = vb_invfilter_z(a_inv(:,j),G,Covs,jx_act,e_inv(:,j),Ge); 0344 else 0345 [KW,KW_ext] ... 0346 = vb_invfilter_z(a_inv(:,j),G,Covs,jx_act,[],[]); 0347 end 0348 0349 %%%% Time window smoothing 0350 weight = Tweight{j}; 0351 0352 if trial_average == ON 0353 % MEG trial_average 0354 Bt = vb_repmultiply(B{n}(:,Tid), weight); 0355 % Current reconstruction 0356 Zact(:,Nid) = Zact(:,Nid) + (KW * Bt); 0357 if ~isempty(KW_ext), Jext(:,Nid) = Jext(:,Nid) + (KW_ext * Bt); end 0358 else 0359 % MEG for each trial 0360 Bt = B{n}(:,Tid,:); 0361 for m=1:Ntry 0362 Bt(:,:,m) = vb_repmultiply(Bt(:,:,m) , weight); 0363 end 0364 % Trial index 0365 ix_try = [ntrial:ntrial+Ntry-1]; 0366 ntrial = ntrial+Ntry; 0367 0368 % Current reconstruction 0369 Zact(:,Nid,ix_try) = Zact(:,Nid,ix_try) ... 0370 + reshape( KW * reshape( Bt, [Nch, Nt*Ntry]), ... 0371 [Njact_area, Nt, Ntry]); 0372 if ~isempty(KW_ext), 0373 Jext(:,Nid,ix_try) = Jext(:,Nid,ix_try) ... 0374 + reshape( KW_ext * reshape( Bt, [Nch, Nt*Ntry]), ... 0375 [Njext, Nt, Ntry]); 0376 end 0377 end 0378 end % Session loop END 0379 end % Timewindow loop END 0380 0381 if trial_average == ON 0382 Zact = Zact/Nsession; 0383 Jext = Jext/Nsession; 0384 end 0385 0386 % 0387 % Current Info 0388 % 0389 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0390 Jinfo.version = '2.0-0.b.9'; %vbmeg('version'); 0391 Jinfo.curr_type = 'Z-current'; 0392 0393 Jinfo.Lact = Lact; 0394 Jinfo.Wact = Wact; 0395 Jinfo.ix_act = ix_act; 0396 Jinfo.ix_act_ex = ix_act_ex; 0397 Jinfo.NJact = Njact_area; 0398 Jinfo.Nsession = Nsession; 0399 Jinfo.jactdir = []; 0400 Jinfo.Ntrial = Ntrials; 0401 0402 % ix_act : Vertex index corresponding to active current Zact 0403 % ix_act_ex : Vertex index corresponding to active current Jact 0404 % Wact : Spatial smoothing matrix of focal window 0405 % Jact = Wact * Zact 0406 0407 % Actual time corresponding to columns of Zact, supporting overlap mode 0408 % and non-overlapped concatenation mode 0409 Tid_all = []; 0410 Nid_all = []; 0411 for j=1:Nwindow 0412 Tid_all = [Tid_all Tindex{j}]; 0413 Nid_all = [Nid_all Nindex{j}]; 0414 end 0415 0416 if overlap_mode==false, 0417 ix = unique(Tid_all); 0418 Jinfo.Tmsec = Tmsec(ix); 0419 else 0420 Jinfo.Tmsec = Tmsec(Tid_all); 0421 end 0422 0423 %Tstart = bayes_parm.twin_meg(1); 0424 %Tend = bayes_parm.twin_meg(2); 0425 %if isempty(tsubsamp) 0426 % Jinfo.Tsample = Tstart:Tend; 0427 %else 0428 % Jinfo.Tsample = tsubsamp + Tstart - 1; 0429 %end 0430 0431 return; 0432 0433 %%%% --------------- 0434 function [bayes_parm, ix_area, trial_average, tsubsamp, overlap_mode,dsampf] = ... 0435 check_arg(bayes_parm,curr_parm) 0436 0437 if isfield(curr_parm,'basisfile'), 0438 bayes_parm.basisfile = curr_parm.basisfile; 0439 end; 0440 if isfield(curr_parm,'megfile'), 0441 bayes_parm.megfile = curr_parm.megfile ; 0442 end; 0443 if isfield(curr_parm,'eegfile'), 0444 bayes_parm.eegfile = curr_parm.eegfile ; 0445 end; 0446 if isfield(curr_parm,'twin_meg'), 0447 bayes_parm.twin_meg = curr_parm.twin_meg ; 0448 end; 0449 if isfield(curr_parm,'Tperiod'), 0450 bayes_parm.Tperiod = curr_parm.Tperiod ; 0451 end; 0452 if isfield(curr_parm,'Tnext'), 0453 bayes_parm.Tnext = curr_parm.Tnext ; 0454 end; 0455 0456 if ~isfield(curr_parm,'trial_average'), 0457 trial_average = ON; 0458 else 0459 trial_average = curr_parm.trial_average; 0460 end; 0461 0462 bayes_parm.trial_average = trial_average; 0463 0464 if ~isfield(curr_parm,'ix_area'), 0465 ix_area = []; 0466 else 0467 ix_area = curr_parm.ix_area; 0468 end; 0469 if ~isfield(curr_parm,'tsubsmpl'), 0470 tsubsamp = []; 0471 else 0472 tsubsamp = curr_parm.tsubsmpl; 0473 end; 0474 if ~isfield(curr_parm,'overlap_mode'), 0475 overlap_mode = 0; 0476 else 0477 overlap_mode = curr_parm.overlap_mode; 0478 end; 0479 0480 if isfield(curr_parm,'extra'), 0481 if isfield(curr_parm.extra,'basisfile'), 0482 bayes_parm.extra.basisfile = curr_parm.extra.basisfile; 0483 end; 0484 end; 0485 0486 if ~isfield(curr_parm,'dsampf'), 0487 dsampf = []; 0488 else 0489 dsampf = curr_parm.dsampf; 0490 end; 0491 0492 return;