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.megfile_baseline
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.
2017-10-25 Yusuke Takeda
Modified for dipoles with multiple orientations
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(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.megfile_baseline 0042 % curr_parm.twin_meg 0043 % curr_parm.Tperiod 0044 % curr_parm.Tnext 0045 % curr_parm.extra.basisfile (for extra dipole) 0046 % --- 0047 % 0048 % [output] 0049 % Zact : active current 0050 % 0051 % Zact(n,t,:) is the current at the vertex 'ix_act(n)' & the time 't' 0052 % Zact(Nact,Nsample) for trial_average = ON 0053 % Zact(Nact,Nsample,Ntrials) for trial_average = OFF 0054 % Nact : # of active region, 0055 % Nsample : # of time sample, 0056 % Ntrials : # of trials in all session] 0057 % --- fields of Jinfo 0058 % version : <<string>> Version of cortical current file. 0059 % curr_type : <<string>> 'Z-current'. It can be 'J-current' for VBMEG 0060 % version 0.8 or older. 0061 % Wact : <<float matrix>> Smoothing Gaussian filter, mapping from 0062 % Z-current to J-current. 0063 % ix_act : <<int vector>>: Vertex indices of Z-current. 0064 % ix_act_ex : <<int vector>>: Vertex indices of J-current. 0065 % Lact : <<int>> Number of current direction at one vertex. 0066 % Tsample : <<int vector>> Time sample indices of the original MEG 0067 % data. length(Tsample) == size(Zact,2) == size(Jact,2). 0068 % Tmsec : <<float vector>> Time in msec. 0069 % SampleFreq: <<float>> Sample frequency of cortical current, not 0070 % original M/EEG signal [Hz]. 0071 % Pretrigger: <<int>> Time points of the length of the pretrigger 0072 % period of cortical current data. It is neither actual time 0073 % nor time points of the original M/EEG signal. 0074 % Ntrial : <<int>> Number of trials of estimated current. 0075 % patch_norm: <<bool>> Cortical current is patch size normalized 0076 % (Am/m^2) or not (Am). 0077 % Tix : <<L x 1 cell>> Time sample indices of each time window. 0078 % Zact(:,Tix{n},:) is the set of Z-current within the n-th 0079 % time window. 0080 % --- 0081 % 0082 % * Inverse filter calculation is done in vb_invfilter_calc 0083 % 0084 % [history] 0085 % 2006-09-03 M. Sato 0086 % * Non-overlapped concatenation mode is added for spectral analysis 0087 % 2008-08-19 Taku Yoshioka 0088 % Extra dipole support 0089 % 2008-09-30 Taku Yoshioka 0090 % Minor change for variables in Jinfo 0091 % 2008-10-23 Taku Yoshioka 0092 % Bug fix for current estimation without extra dipoles 0093 % 2009-04-02 Taku Yoshioka 0094 % Parameter name changed within this code for readability 0095 % (just replacing 'resultfile' to bayesfile) 0096 % 2010-03-01 M. Sato 0097 % Bug fix for Wact index and fieldname(tsubsamp->tsubsmpl) 0098 % 2010-12-06 taku-y 0099 % [enhancement] curr_parm.dsampf supported. 0100 % [minor] Following fields of Jinfo set in this function: 0101 % SampleFreq 0102 % Pretrigger 0103 % Tmsec 0104 % [trivial] Jinfo.version = vb_version. 0105 % 2010-12-07 taku-y 0106 % [trivial] Jinfo.version = vbmeg('version'); 0107 % 2011-05-11 takiu-y 0108 % [debug] Jinfo.Tmsec corrected. 0109 % 2011-06-28 taku-y 0110 % [minor] Jinfo.Tix added. 0111 % 2017-10-25 Yusuke Takeda 0112 % Modified for dipoles with multiple orientations 0113 % 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 = [proj_root filesep 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 % save trial_average setting of bayse.mat for Cov 0153 bayes_trial_average = bayes_parm.trial_average; 0154 [bayes_parm,ix_area,trial_average,tsubsamp,overlap_mode,dsampf] ... 0155 = check_arg(bayes_parm, curr_parm); 0156 0157 if ~isempty(proj_root); 0158 bayes_parm_abs = vb_parm_absolute_path(proj_root, bayes_parm); 0159 else 0160 bayes_parm_abs = bayes_parm; 0161 end 0162 0163 % 0164 % MEG data preparation 0165 % B : MEG data 0166 % 0167 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0168 [B,Ntrials,Nch,Tsample,Twindow,Tmsec] ... 0169 = vb_megdata_preparation(bayes_parm_abs); 0170 MEGinfo = vb_load_meg_info(bayes_parm_abs.megfile{1}); 0171 0172 % 0173 % Preparation of lead fields 0174 % Gact : leadfield of focal window 0175 % ix_act : Vertex index corresponding to active current Zact 0176 % ix_act_ex : Vertex index corresponding to active current Jact 0177 % Wact : Spatial smoothing matrix of focal window 0178 % 0179 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0180 0181 % Focal window 0182 vb_disp('--- Lead field matrix of focal window'); 0183 0184 lf_parm.brainfile = bayes_parm_abs.brainfile; 0185 lf_parm.areafile = bayes_parm_abs.areafile; 0186 lf_parm.patch_norm = bayes_parm_abs.patch_norm; 0187 lf_parm.expand_spatial_filter = bayes_parm_abs.expand_spatial_filter; 0188 lf_parm.spatial_smoother = bayes_parm_abs.spatial_smoother; 0189 lf_parm.basisfile = bayes_parm_abs.basisfile; 0190 lf_parm.area_key = bayes_parm_abs.area_key; 0191 lf_parm.reduce = bayes_parm_abs.reduce; 0192 lf_parm.Rfilt = bayes_parm_abs.Rfilt; 0193 lf_parm.remove_area_key = []; 0194 0195 Norient = vb_parm.Norient; % Number of current orientation component 0196 Norient_var = vb_parm.Norient_var;% Number of current orientation component 0197 % for variance estimation 0198 Ratio = Norient/Norient_var; % = (# of orientation) 0199 % /(# of orientation in variance) 0200 0201 [Gact, ix_act, ix_act_ex, Wact, Lact] = ... 0202 vb_leadfield_preparation(lf_parm); 0203 0204 % Extra dipole 0205 if isfield(bayes_parm_abs,'extra') & ~isempty(bayes_parm_abs.extra), 0206 vb_struct2vars(bayes_parm_abs,{'extra'}); 0207 fprintf('--- Lead field matrix of extra dipoles \n'); 0208 for n=1:length(extra.basisfile) 0209 tmp = vb_load_basis(extra.basisfile{n}); 0210 Gext{n} = tmp'; 0211 end 0212 else 0213 Gext = []; 0214 end 0215 0216 % 0217 % Area index in which current is calculated 0218 % 0219 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0220 if ~isempty(ix_area), 0221 % Select vertex index 'ix_area' within the active current region 0222 [jx_area_ex, ix_area_ex] = vb_index2indexsub(ix_area, ix_act_ex); 0223 else 0224 jx_area_ex = 1:length(ix_act_ex); 0225 end 0226 0227 Wact = Wact(jx_area_ex,:); 0228 jx_act = find( sum(Wact, 1) > 0); 0229 Wact = Wact(:,jx_act); 0230 0231 % active index of Z-current 0232 ix_act = ix_act(jx_act); 0233 % active index of J-current 0234 ix_act_ex = ix_act_ex(jx_area_ex); 0235 0236 % # of active vertex 0237 Njact_area = length(jx_act); 0238 0239 % # of extra dipoles 0240 if ~isempty(Gext), Njext = size(Gext{1},2); 0241 else Njext = 0; end 0242 0243 % 0244 % Constant 0245 % 0246 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0247 Nsession = length(B); % Number of sessions 0248 Ntotal = sum(Ntrials); % Total number of trials in all sessions 0249 0250 % 0251 % Temporal subsampling index 0252 % 0253 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0254 sampf = MEGinfo.SampleFreq; 0255 0256 if ~isempty(dsampf), 0257 tsubsamp = ceil(1:sampf/dsampf:Tsample); 0258 Jinfo.SampleFreq = dsampf; 0259 else 0260 if isempty(tsubsamp), tsubsamp = 1:Tsample; end 0261 Jinfo.SampleFreq = sampf; 0262 end 0263 0264 %Jinfo.Tmsec = Tmsec(tsubsamp); 0265 [tmp,ix] = min(abs(Tmsec(tsubsamp))); 0266 Jinfo.Pretrigger = ix; 0267 0268 % 0269 % Temporal smoothing window weight 0270 % 0271 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0272 [Tweight ,Tindex, Nindex, Nsample] = ... 0273 vb_overlapped_timewindow_weight(Twindow, Tsample, tsubsamp, overlap_mode); 0274 0275 Nwindow = length(Nindex); % # of time window 0276 Jinfo.Tix = Nindex; 0277 0278 if overlap_mode == 1, 0279 vb_disp('Non-overlapped concatenation mode'); 0280 end 0281 0282 % 0283 % Initialization 0284 % 0285 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0286 if trial_average == ON 0287 % Current averaged over trials 0288 Zact = zeros(Njact_area*Ratio,Nsample); 0289 Jext = zeros(Njext*Ratio,Nsample); 0290 else 0291 % Current for each trial 0292 Zact = zeros(Njact_area*Ratio,Nsample,Ntotal); 0293 Jext = zeros(Njext*Ratio,Nsample,Ntotal); 0294 end 0295 0296 % 0297 % Estimated current variance 0298 % 0299 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0300 a_inv = Model.a; 0301 if ~isempty(Model_ext), e_inv = Model_ext.a; 0302 else e_inv = []; end 0303 0304 % Modified by M. Sato 2015-12-25 0305 %Cov = Model.Cov; 0306 % Cov = Normalized noise covariance matrix 0307 bayes_parm_abs.trial_average = bayes_trial_average; 0308 [Cov] = vb_observation_noise_specification(bayes_parm_abs); 0309 0310 % 0311 % Time window loop 0312 % 0313 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0314 for j=1:Nwindow 0315 % Subsampling time index 0316 Tid = Tindex{j}; % subsampled time index 0317 Nid = Nindex{j}; % index in the total subsampled data 0318 Nt = length(Tid); 0319 0320 if Nt == 0, continue; end 0321 0322 % Session loop 0323 ntrial = 1; 0324 0325 for n=1:Nsession 0326 Ntry = Ntrials(n); 0327 0328 G = Gact{n}; % Ga 0329 if ~isempty(Gext), Ge = Gext{n}; else Ge = []; end 0330 Covs = Cov{n}; % Sg 0331 Nch = size(G,1); 0332 0333 %%%% Calculate Inverse filter for current reconstruction 0334 if ~isempty(e_inv), 0335 [KW,KW_ext] ... 0336 = vb_invfilter_z(a_inv(:,j),G,Covs,jx_act,e_inv(:,j),Ge); 0337 else 0338 [KW,KW_ext] ... 0339 = vb_invfilter_z(a_inv(:,j),G,Covs,jx_act,[],[]); 0340 end 0341 0342 %%%% Time window smoothing 0343 weight = Tweight{j}; 0344 0345 if trial_average == ON 0346 % MEG trial_average 0347 Bt = vb_repmultiply(B{n}(:,Tid), weight); 0348 % Current reconstruction 0349 Zact(:,Nid) = Zact(:,Nid) + (KW * Bt); 0350 if ~isempty(KW_ext), Jext(:,Nid) = Jext(:,Nid) + (KW_ext * Bt); end 0351 else 0352 % MEG for each trial 0353 Bt = B{n}(:,Tid,:); 0354 for m=1:Ntry 0355 Bt(:,:,m) = vb_repmultiply(Bt(:,:,m) , weight); 0356 end 0357 % Trial index 0358 ix_try = [ntrial:ntrial+Ntry-1]; 0359 ntrial = ntrial+Ntry; 0360 0361 % Current reconstruction 0362 Zact(:,Nid,ix_try) = Zact(:,Nid,ix_try) ... 0363 + reshape( KW * reshape( Bt, [Nch, Nt*Ntry]), ... 0364 [Njact_area*Ratio, Nt, Ntry]); 0365 if ~isempty(KW_ext), 0366 Jext(:,Nid,ix_try) = Jext(:,Nid,ix_try) ... 0367 + reshape( KW_ext * reshape( Bt, [Nch, Nt*Ntry]), ... 0368 [Njext*Ratio, Nt, Ntry]); 0369 end 0370 end 0371 end % Session loop END 0372 end % Timewindow loop END 0373 0374 if trial_average == ON 0375 Zact = Zact/Nsession; 0376 Jext = Jext/Nsession; 0377 end 0378 0379 % 0380 % Current Info 0381 % 0382 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0383 Jinfo.version = '2.0-0.b.9'; %vbmeg('version'); 0384 Jinfo.curr_type = 'Z-current'; 0385 0386 Jinfo.Lact = Lact; 0387 Jinfo.Wact = Wact; 0388 Jinfo.ix_act = ix_act; 0389 Jinfo.ix_act_ex = ix_act_ex; 0390 Jinfo.NJact = Njact_area; 0391 Jinfo.Nsession = Nsession; 0392 Jinfo.jactdir = []; 0393 Jinfo.Ntrial = Ntrials; 0394 0395 % ix_act : Vertex index corresponding to active current Zact 0396 % ix_act_ex : Vertex index corresponding to active current Jact 0397 % Wact : Spatial smoothing matrix of focal window 0398 % Jact = Wact * Zact 0399 0400 % Actual time corresponding to columns of Zact, supporting overlap mode 0401 % and non-overlapped concatenation mode 0402 Tid_all = []; 0403 Nid_all = []; 0404 for j=1:Nwindow 0405 Tid_all = [Tid_all Tindex{j}]; 0406 Nid_all = [Nid_all Nindex{j}]; 0407 end 0408 0409 if overlap_mode==false, 0410 ix = unique(Tid_all); 0411 Jinfo.Tmsec = Tmsec(ix); 0412 else 0413 Jinfo.Tmsec = Tmsec(Tid_all); 0414 end 0415 0416 %Tstart = bayes_parm.twin_meg(1); 0417 %Tend = bayes_parm.twin_meg(2); 0418 %if isempty(tsubsamp) 0419 % Jinfo.Tsample = Tstart:Tend; 0420 %else 0421 % Jinfo.Tsample = tsubsamp + Tstart - 1; 0422 %end 0423 0424 return; 0425 0426 %%%% --------------- 0427 function [bayes_parm, ix_area, trial_average, tsubsamp, overlap_mode,dsampf] = ... 0428 check_arg(bayes_parm,curr_parm) 0429 0430 if isfield(curr_parm,'basisfile'), 0431 bayes_parm.basisfile = curr_parm.basisfile; 0432 end; 0433 if isfield(curr_parm,'megfile'), 0434 bayes_parm.megfile = curr_parm.megfile ; 0435 end; 0436 if isfield(curr_parm,'twin_meg'), 0437 bayes_parm.twin_meg = curr_parm.twin_meg ; 0438 end; 0439 if isfield(curr_parm,'Tperiod'), 0440 bayes_parm.Tperiod = curr_parm.Tperiod ; 0441 end; 0442 if isfield(curr_parm,'Tnext'), 0443 bayes_parm.Tnext = curr_parm.Tnext ; 0444 end; 0445 if isfield(curr_parm,'megfile_baseline'), 0446 bayes_parm.megfile_baseline = curr_parm.megfile_baseline ; 0447 end; 0448 0449 if ~isfield(curr_parm,'trial_average'), 0450 trial_average = ON; 0451 else 0452 trial_average = curr_parm.trial_average; 0453 end; 0454 0455 bayes_parm.trial_average = trial_average; 0456 0457 if ~isfield(curr_parm,'ix_area'), 0458 ix_area = []; 0459 else 0460 ix_area = curr_parm.ix_area; 0461 end; 0462 if ~isfield(curr_parm,'tsubsmpl'), 0463 tsubsamp = []; 0464 else 0465 tsubsamp = curr_parm.tsubsmpl; 0466 end; 0467 if ~isfield(curr_parm,'overlap_mode'), 0468 overlap_mode = 0; 0469 else 0470 overlap_mode = curr_parm.overlap_mode; 0471 end; 0472 0473 if isfield(curr_parm,'extra'), 0474 if isfield(curr_parm.extra,'basisfile'), 0475 bayes_parm.extra.basisfile = curr_parm.extra.basisfile; 0476 end; 0477 end; 0478 0479 if ~isfield(curr_parm,'dsampf'), 0480 dsampf = []; 0481 else 0482 dsampf = curr_parm.dsampf; 0483 end; 0484 0485 return;