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github | lcnbeapp/beapp-master | compplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/compplot.m | 5,162 | utf_8 | 07cf31546d5dbdf48bfb29cba43e9408 | % compplot() - plot a data epoch and maps its scalp topography at a given time
%
% Usage: To plot the projection of an ICA component onto the scalp
% >> projdata = icaproj(data,weights,compindex);
%
% then >> compplot(projdata);
%
% else to plot an EEG epoch with a topoplot at one selected time point
% ... |
github | lcnbeapp/beapp-master | gradmap.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/gradmap.m | 3,370 | utf_8 | 98c074ff6b72e6334c66c7e0ee2d3a31 | % gradmap() - compute the gradient of an EEG spatial distribution.
%
% Usage:
% >> [gradX, gradY ] = gradmap( map, filename, draw )
%
% Inputs:
% map - level of activity (size: nbelectrodes x nbChannel)
% filename - filename (.loc file) countaining the coordinates
% of the electrodes, or arr... |
github | lcnbeapp/beapp-master | fillcurves.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/fillcurves.m | 3,697 | utf_8 | 45bdc3bae6abe81f3eb865ff508ed4aa | % fillcurves() - fill the space between 2 curves
%
% Usage:
% h=fillcurves( Y1, Y2);
% h=fillcurves( X, Y1, Y2, color, transparent[0 to 1]);
%
% Example:
% a = rand(1, 50);
% b = rand(1, 50)+2; b(10) = NaN;
% figure; fillcurves([51:100], a, b);
%
% Author: A. Delorme, SCCN, INC, UCSD/CERCO, CNRS
% Copyright ... |
github | lcnbeapp/beapp-master | timefrq.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/timefrq.m | 13,419 | utf_8 | ad65c647dd826b2a55590fc457103cb5 | % timefrq() - progressive Power Spectral Density estimates on a single
% EEG channel using out-of-bounds and muscle activity rejection
% tests. Uses Matlab FFT-based psd().
% Usage:
% >> [Power,frqs,times,rejections] = timefrq(data,srate,subwindow);
% >> [Power,frqs,times,rejections] = ..... |
github | lcnbeapp/beapp-master | imagescloglog.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/imagescloglog.m | 4,970 | utf_8 | 88feced6e3b718c968cee7ee9cce24f6 | % imagescloglog() - make an imagesc(0) plot with log y-axis and
% x-axis values
%
% Usage: >> imagescloglog(times,freqs,data);
% Usage: >> imagescloglog(times,freqs,data,clim,xticks,yticks,'key','val',...);
%
% Inputs:
% times = vector of x-axis values (LOG spaced)
% freqs = vector of y-axis val... |
github | lcnbeapp/beapp-master | envproj.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/envproj.m | 12,184 | utf_8 | 39c255194bd438d2939c0ab3b8c748d1 | % envproj() - plot envelopes of projections of selected ICA component
% projections against envelope of the original data
%
% Usage: >> [envdata] = envproj(data,weights,compnums);
% >> [envdata] = envproj(data,weights,compnums, ...
% title,limits,chanlist,compn... |
github | lcnbeapp/beapp-master | difftopo.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/difftopo.m | 2,957 | utf_8 | 65dc45bf74bc5bcc5cc398b529f2d026 | % difftopo - compute and plot component decomposition for the difference ERP
% between two EEG datasets. Plots into the current axis (gca);
% plot into a new empty figure as below.
% Usage:
% >> figure; difftopo(ALLEEG,eeg1,eeg2,interval);
% Inputs:
% ALLEEG - array of leaded EE... |
github | lcnbeapp/beapp-master | testica.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/testica.m | 8,781 | utf_8 | d0cf00d8dae57fbf21e94fd22542c1bf | % testica() - Test the runica() function's ability to separate synthetic sources.
% Use the input variables to estimate the (best) decomposition accuracy
% for a given data set size.
% Usage:
% >> testica(channels,frames); % No return variable -> plot results
% >> [testresult] = ... |
github | lcnbeapp/beapp-master | promax.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/promax.m | 4,345 | utf_8 | 82f2ef61454eb31fd54b2edd42f8cc47 | % promax() - perform Promax oblique rotation after orthogonal Varimax
% rotation of the rows of the input data. A method for
% linear decomposition by "rotating to simple structure."
% Usage:
% >> [R] = promax(data,ncomps);
% >> [R,V] = promax(data,ncomps,maxit);
%
% Inputs:
% ... |
github | lcnbeapp/beapp-master | eegplotsold.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/eegplotsold.m | 7,020 | utf_8 | 391a73c20463597978977b106bb495f5 | % eegplotsold() - display data in a clinical format without scrolling
%
% Usage:
% >> eegplotsold(data, srate, 'chanfile', 'title', ...
% yscaling, epoch, linecolor,xstart,vertmark)
%
% Inputs:
% data - data matrix (chans,frames)
% srate - EEG sampling rate in Hz (0 -> 256 Hz)... |
github | lcnbeapp/beapp-master | show_events.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/show_events.m | 7,188 | utf_8 | d36cd636e2fbb7e2a1aeab8faef8155d | % show_events() - Display events in epochs. Events selected by
% make_timewarp() function can be optionally highlighted.
% Each epoch is visualized as a row in the output image with
% events marked by colored rectangles.
%
% Usage:
% >> im = show_events(EEG, 'key1'... |
github | lcnbeapp/beapp-master | crossfold.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/crossfold.m | 19,968 | utf_8 | 33b019ccc97af482fda0f0b153baab64 | % crossf() - Returns estimates and plot of event-related coherence (ERC) changes
% between data from two input channels. The lower panel gives the
% coherent phase difference between the processes. In this panel, for Ex.
% -90 degrees (blue) means xdata leads ydata by a quarter cycle... |
github | lcnbeapp/beapp-master | fastregress.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/fastregress.m | 1,523 | utf_8 | bbb515bd19057f7c8745299174526222 | % fastregress - perform fast regression and return p-value
%
% Usage:
% [ypred, alpha, rsq, B] = myregress(x, y, plotflag);
%
% Inputs
% y - y values
% x - x values
% plotflag - [0|1] plot regression
%
% Outputs
% ypred - y prediction
% alpha - significance level
% R^2 - r square
% slope - slope of the fit
%
%... |
github | lcnbeapp/beapp-master | rmsave.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/rmsave.m | 723 | utf_8 | a701a295277a4b69da6facca32c0fc41 | % rmsave() - return the RMS in each channel, epoch
%
% Usage:
% >> ave = rmsave(data,frames);
% Scott Makeig, CNL/Salk Institute, La Jolla, 9/98
function ave = rmsave(data,frames)
if nargin<1
help rmsave
return
end
if nargin<2
frames = size(data,2);
data = reshape(data, size(data,1), size(data,2)*size... |
github | lcnbeapp/beapp-master | read_rdf.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/read_rdf.m | 1,904 | utf_8 | e9f06b48010db91ad052b73482eb6e32 | % read_rdf() - read RDF-formatted EEG files.
%
% Usage:
% >> [eeg,ev,header] = read_rdf(filename);
%
% Inputs:
% filename - EEG data file in RDF format
%
% Outputs:
% eeg - eeg data (array in size of [chan_no timepoint];
% ev - event structure
% ev.sample_offset[] - event offsets in samples
% ... |
github | lcnbeapp/beapp-master | hist2.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/hist2.m | 2,077 | utf_8 | e482d20c2cf737a382391c4f4063eed7 | % hist2() - draw superimposed histograms
%
% Usage:
% >> hist2(data1, data2, bins);
%
% Inputs:
% data1 - data to plot first process
% data2 - data to plot second process
%
% Optional inputs:
% bins - vector of bin center
%
% Author: Arnaud Delorme (SCCN, UCSD)
% Copyright (C) 2003 Arnaud Delorme, Salk ... |
github | lcnbeapp/beapp-master | erpregoutfunc.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/erpregoutfunc.m | 1,315 | utf_8 | 028d72b1a69b5f79ce7f9c6a5f00b554 | % erpregoutfunc() - sub function of erpregout() used to regress
% out the ERP from the data
%
% Usage:
% totdiff = erpregout(fact, data, erp);
%
% Inputs:
% fact - factor
% data - [float] 1-D data (time points).
% erp - [float] 1-D data (time points).
%
% Outputs:
% totdif - res... |
github | lcnbeapp/beapp-master | dprime.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/dprime.m | 22,037 | utf_8 | 4af65f989db5375361e682677d16b31f | % DPRIME - Signal-detection theory sensitivity measure.
%
% d = dprime(pHit,pFA)
% [d,beta] = dprime(pHit,pFA)
%
% PHIT and PFA are numerical arrays of the same shape.
% PHIT is the proportion of "Hits": P(Yes|Signal)
% PFA is the proportion of "False Alarms": P(Yes|Noise)
% All numbers involved must be b... |
github | lcnbeapp/beapp-master | setfont.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/setfont.m | 3,688 | utf_8 | 8ce4efce63ece1dbc7e024a86dd41a60 | % setfont() - Change all the fonts properties of a figure.
%
% Usage:
% >> newdata = setfont( handle, 'key', 'val');
% >> [newdata chlab] = setfont( handle, 'key' , 'val', ... );
% >> [newdata chlab] = setfont( handle, 'handletype', handletypevalue, 'key' , 'val', ... );
%
% Inputs:
% handle - [gcf,gca... |
github | lcnbeapp/beapp-master | makeelec.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/makeelec.m | 4,102 | utf_8 | 9b8707861db861dad7e9c657c46b011c | % makeelec() - subroutine to make electrode file in eegplot()
%
% Usage: >> makeelec(chans)
% >> [channames] = makeelec(chans)
%
% Inputs:
% chans - number of channels
%
% Author: Colin Humprhies, CNL / Salk Institute, 1996
%
% See also: eegplot()
% Copyright (C) Colin Humphries, CNL / Salk Institute, A... |
github | lcnbeapp/beapp-master | gradplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/miscfunc/gradplot.m | 5,524 | utf_8 | 06af207aeee2691a8ac50369845dfc65 | % gradplot() - Compute the gradient of EEG scalp map(s) on a square grid
%
% Usage:
% >> [gradX, gradY] = gradplot(maps,eloc_file,draw)
% Inputs:
% maps - Activity levels, size (nelectrodes,nmaps)
% eloc_file - Electrode location filename (.loc file) containing electrode
% - coordinat... |
github | lcnbeapp/beapp-master | std_comppol.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_comppol.m | 2,105 | utf_8 | 90c72a999241b33865a1419e64117e0f | % std_comppol() - inverse component polarity in a component cluster
%
% Usage: [compout pol] = std_comppol(compin);
%
% Inputs:
% compin - component scalp maps, one per column.
%
% Outputs:
% compout - component scalp maps some of them with inverted
% polarities, one per column.
% pol - logic... |
github | lcnbeapp/beapp-master | std_readdata.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_readdata.m | 32,955 | utf_8 | dec4496e7d4fbed868b76072fa81e3fe | % std_readdata() - LEGACY FUNCTION, SHOULD NOT BE USED ANYMORE. INSTEAD
% USE std_readerp, std_readspec, ...
% load one or more requested measures
% ['erp'|'spec'|'ersp'|'itc'|'dipole'|'map']
% for all components of a specified cluster.
% ... |
github | lcnbeapp/beapp-master | std_readerp.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_readerp.m | 17,780 | utf_8 | decd78437277c085adf823d8a08c9d23 | % std_readerp() - load ERP measures for data channels or
% for all components of a specified cluster.
% Called by plotting functions
% std_envtopo(), std_erpplot(), std_erspplot(), ...
% Usage:
% >> [STUDY, datavals, times, setinds, cinds] = ...
% ... |
github | lcnbeapp/beapp-master | std_rmalldatafields.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_rmalldatafields.m | 2,441 | utf_8 | b3f42cacc34383569006753be9c6d82b | % std_rmalldatafields - remove all data fields from STUDY (before saving
% it for instance.
%
% Usage:
% STUDY = std_rmalldatafields(STUDY, type);
%
% Input:
% STUDY - EEGLAB study structure
%
% Optional input:
% type - ['chan'|'clust'|'both'] remove from changrp channel loc... |
github | lcnbeapp/beapp-master | std_rejectoutliers.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_rejectoutliers.m | 5,458 | utf_8 | 5295d178e50afb94a6b71303a3d9aaa9 | % std_rejectoutliers() - Commandline function, to reject outlier component(s) from clusters.
% Reassign the outlier component(s) to an outlier cluster specific to each cluster.
% Usage:
% >> [STUDY] = std_rejectoutliers(STUDY, ALLEEG, clusters, th);
% Inputs:
% S... |
github | lcnbeapp/beapp-master | std_makedesign.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_makedesign.m | 21,798 | utf_8 | cb55ff0cc27d3f482c16ebd6fd1c8d31 | % std_makedesign() - create a new or edit an existing STUDY.design by
% selecting specific factors to include in subsequent
% 1x2 or 2x2 STUDY measures and statistical computations
% for this design. A STUDY may have many factors
% (task or... |
github | lcnbeapp/beapp-master | std_readspec.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_readspec.m | 3,551 | utf_8 | 0315bf04416f115f6af90007ab60704e | % std_readspec() - load spectrum measures for data channels or
% for all components of a specified cluster.
% Called by plotting functions
% std_envtopo(), std_erpplot(), std_erspplot(), ...
% Usage:
% >> [STUDY, specdata, allfreqs, setinds, cinds] = ...
% ... |
github | lcnbeapp/beapp-master | pop_erpparams.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_erpparams.m | 10,477 | utf_8 | 68e8b342681fb13cd747c25aa1e5582f | % pop_erpparams() - Set plotting and statistics parameters for cluster ERP
% plotting
% Usage:
% >> STUDY = pop_erpparams(STUDY, 'key', 'val');
%
% Inputs:
% STUDY - EEGLAB STUDY set
%
% Input:
% 'topotime' - [real] Plot ERP scalp maps at one specific latency (ms).
% ... |
github | lcnbeapp/beapp-master | eeglabciplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/eeglabciplot.m | 1,171 | utf_8 | a54755e9a50c126bf4fd48d251eff99e | % eeglabciplot(lower,upper)
% eeglabciplot(lower,upper,x)
% eeglabciplot(lower,upper,x,colour)
%
% Plots a shaded region on a graph between specified lower and upper confidence intervals (L and U).
% l and u must be vectors of the same length.
% Uses the 'fill' function, not 'area'. Therefore multiple shaded plo... |
github | lcnbeapp/beapp-master | std_selectdesign.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_selectdesign.m | 1,989 | utf_8 | b3048a1a88ea00503584ee7c9c6d418b | % std_selectdesign() - select an existing STUDY design.
% Use std_makedesign() to add a new STUDY.design.
%
% Usage:
% >> [STUDY] = std_selectdesign(STUDY, ALLEEG, designind);
%
% Inputs:
% STUDY - EEGLAB STUDY structure
% STUDY - EEGLAB ALLEEG structure
% designind - desired (exis... |
github | lcnbeapp/beapp-master | std_getdataset.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_getdataset.m | 7,391 | utf_8 | 30fe56beb0eae5a9d470402fc8ae35a2 | % std_getdataset() - Constructs and returns EEG dataset from STUDY design.
%
% Usage:
% >> EEG = std_getdataset(STUDY, ALLEEG, 'key', 'val', ...);
%
% Inputs:
% STUDY - EEGLAB STUDY set
% ALLEEG - vector of the EEG datasets included in the STUDY structure
%
% Optional inputs:
% 'design' - [n... |
github | lcnbeapp/beapp-master | std_readpac.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_readpac.m | 9,664 | utf_8 | 969615c6dc80b8442761d8a892ebdef1 | % std_readpac() - read phase-amplitude correlation
%
% Usage:
% >> [STUDY, clustinfo] = std_readpac(STUDY, ALLEEG);
% >> [STUDY, clustinfo] = std_readpac(STUDY, ALLEEG, ...
% 'key', 'val');
% Inputs:
% STUDY - studyset structure containing some or all... |
github | lcnbeapp/beapp-master | std_pvaf.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_pvaf.m | 3,535 | utf_8 | 3244c50b0ea6577e8f51f7107250c283 | % std_pvaf() - Compute 'percent variance accounted for' (pvaf) by specified
% ICA component clusters. This function computes eeg_pvaf on each
% of the component of the cluster and then average them. See
% eeg_pvaf for more information. This function uses the
% Usage:
% ... |
github | lcnbeapp/beapp-master | std_mergeclust.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_mergeclust.m | 3,678 | utf_8 | 8a328c6df1c40cfc3d89f72eb8af8a11 | % std_mergeclust() - Commandline function, to merge several clusters.
% Usage:
% >> [STUDY] = std_mergeclust(STUDY, ALLEEG, mrg_cls, name);
% Inputs:
% STUDY - EEGLAB STUDY set comprising some or all of the EEG datasets in ALLEEG.
% ALLEEG - global EEGLAB vector of EEG stru... |
github | lcnbeapp/beapp-master | std_findoutlierclust.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_findoutlierclust.m | 599 | utf_8 | 5cf670b56c3d2178f15c05b6c8482328 | % std_findoutlierclust() - determine whether an outlier cluster already exists
% for a specified cluster. If so, return the outlier cluster index.
% If not, return zero. This helper function is called by
% pop_clustedit(), std_moveoutlier(), std_renameclust().
funct... |
github | lcnbeapp/beapp-master | std_indvarmatch.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_indvarmatch.m | 2,411 | utf_8 | 5902a4b72dc6351b4f1b4c26c2975ab8 | % std_indvarmatch - match independent variable value in a list of values
%
% Usage:
% indices = std_indvarmatch(value, valuelist);
%
% Input:
% value - [string|real|cell] value to be matched
% valuelist - [cell array] cell array of string, numerical values or
% cell array
%
% Output:... |
github | lcnbeapp/beapp-master | std_renamestudyfiles.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_renamestudyfiles.m | 3,659 | utf_8 | 4f9bcafcb1c0e952fab0e36174fc66b2 | % std_renamestudyfiles() - rename files for design 1 if necessary. In design
% 1, for backward compatibility, files could have
% legacy names. For consistency these files now
% need to be renamed. Note that the STUDY is
% ... |
github | lcnbeapp/beapp-master | pop_specparams.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_specparams.m | 10,715 | utf_8 | 027537cb2c61d5a0c4c36d1e4010028c | % pop_specparams() - Set plotting and statistics parameters for computing
% STUDY component spectra.
% Usage:
% >> STUDY = pop_specparams(STUDY, 'key', 'val');
%
% Inputs:
% STUDY - EEGLAB STUDY set
%
% Plot options:
% 'topofreq' - [real] Plot Spectrum scalp maps at one spec... |
github | lcnbeapp/beapp-master | std_erp.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_erp.m | 10,470 | utf_8 | f3a709fb521ddae8ca35a36c72b67d97 | % std_erp() - Constructs and returns channel or ICA activation ERPs for a dataset.
% Saves the ERPs into a Matlab file, [dataset_name].icaerp, for
% data channels or [dataset_name].icaerp for ICA components,
% in the same directory as the dataset file. If such a file
% ... |
github | lcnbeapp/beapp-master | pop_erpimparams.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_erpimparams.m | 8,436 | utf_8 | 239b2e9f4a563e64fe4a3d7d631a5b62 | % pop_erpimparams() - Set plotting and statistics parameters for
% computing and plotting STUDY mean ERPimages and measure
% statistics. Settings are stored within the STUDY
% structure (STUDY.etc.erpimparams) which is used
% whenever plotti... |
github | lcnbeapp/beapp-master | std_dipoleclusters.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_dipoleclusters.m | 13,236 | utf_8 | 6bbd84189c57ef6ab08de937ebf62583 | % std_dipoleclusters - Plots clusters of ICs as colored dipoles in MRI
% images (side, rear, top and oblique angles possible)
%
% std_dipoleclusters(STUDY,ALLEEG,'key1',value1, 'key2',value2, ... );
%
% Inputs:
% STUDY - EEGLAB STUDY set
% ALLEEG - vector of the EEG datasets included in the STUD... |
github | lcnbeapp/beapp-master | std_readtopo.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_readtopo.m | 5,758 | utf_8 | 200d8ea0bad1829dc48821eb15ac629b | % std_readtopo() - returns the scalp map of a specified ICA component, assumed
% to have been saved in a Matlab file, [dataset_name].icatopo,
% in the same directory as the dataset file. If this file does
% not exist, use std_topo() to create it, else a pre-clusterin... |
github | lcnbeapp/beapp-master | std_erspplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_erspplot.m | 19,648 | utf_8 | cb3030aac38bf825bfc6510c39e5d9cc | % std_erspplot() - plot STUDY cluster ERSPs. Displays either mean cluster ERSPs,
% or else all cluster component ERSPs plus the mean cluster
% ERSP in one figure per condition. The ERSPs can be plotted
% only if component ERSPs were computed and saved in the
% ... |
github | lcnbeapp/beapp-master | std_readtopoclust.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_readtopoclust.m | 4,978 | utf_8 | d3ea827af1511d8ae06298bd66565857 | % std_readtopoclust() - Compute and return cluster component scalp maps.
% Automatically inverts the polarity of component scalp maps
% to best match the polarity of the cluster mean scalp map.
% Usage:
% >> [STUDY clsstruct] = std_readtopoclust(STUDY, ALLEEG, cluste... |
github | lcnbeapp/beapp-master | std_readcustom.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_readcustom.m | 5,376 | utf_8 | ab9dee0bfcae0ccce1ff1c97d5d14089 | % std_readcustom() - Read custom data structure for file save on disk.
%
% Usage:
% >> data = std_readcustom(STUDY, ALLEEG, fileext, 'key', 'val', ...);
%
% Required inputs:
% STUDY - an EEGLAB STUDY set of loaded EEG structures
% ALLEEG - ALLEEG vector of one or more loaded EEG dataset structures
... |
github | lcnbeapp/beapp-master | std_ersp.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_ersp.m | 20,553 | utf_8 | 41dd4eed5c09acca4f4c7b9a30289ea8 | % std_ersp() - Compute ERSP and/or ITC transforms for ICA components
% or data channels of a dataset. Save results into Matlab
% float files.
%
% Function description:
% The function computes the mean ERSP or ITC for the selected
% dataset ICA components or data c... |
github | lcnbeapp/beapp-master | std_setcomps2cell.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_setcomps2cell.m | 3,998 | utf_8 | 6f637e1842fe051b8c6772049b76f035 | % std_setcomps2cell - convert .sets and .comps to cell array. The .sets and
% .comps format is useful for GUI but the cell array
% format is used for plotting and statistics.
%
% Usage:
% [ struct setinds allinds ] = std_setcomps2cell(STUDY, clustind);
% [ struct ... |
github | lcnbeapp/beapp-master | pop_study.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_study.m | 32,837 | utf_8 | 7f2812b93e1ee6f7b6b9cca9dacc7844 | % pop_study() - create a new STUDY set structure defining a group of related EEG datasets.
% The STUDY set also contains information about each of the datasets: the
% subject code, subject group, experimental condition, and session. This can
% be provided interactively i... |
github | lcnbeapp/beapp-master | std_convertdesign.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_convertdesign.m | 1,356 | utf_8 | 186f56b44af9306eb22e85b0ccd8896b | % std_convertdesign - temporary function converting STUDY design legacy
% format to new format.
function STUDY = std_convertdesign(STUDY,ALLEEG);
for index = 1:length(STUDY.design)
design(index).name = STUDY.design(index).name;
design(index).variable(1).label = STUDY.design(in... |
github | lcnbeapp/beapp-master | std_renameclust.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_renameclust.m | 4,375 | utf_8 | 0daee3bdeeb5edb5b7c913f30868434b | % std_renameclust() - Commandline function, to rename clusters using specified (mnemonic) names.
% Usage:
% >> [STUDY] = std_renameclust(STUDY, ALLEEG, cluster, new_name);
% Inputs:
% STUDY - EEGLAB STUDY set comprising some or all of the EEG datasets in ALLEEG.
% ALLEEG - global ... |
github | lcnbeapp/beapp-master | toporeplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/toporeplot.m | 32,771 | utf_8 | a2d2fb39ae360df3cbefbd0d42f15e4a | % toporeplot() - re-plot a saved topoplot() output image (a square matrix)
% in a 2-D circular scalp map view (as looking down at the top
% of the head). May also be used to re-plot a mean topoplot()
% map for a number of subjects and/or components without all
% ... |
github | lcnbeapp/beapp-master | std_selectdataset.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_selectdataset.m | 3,936 | utf_8 | 6c9ce8182feee7b5ddbbe5eb2f9d979b | % std_selectdataset() - select datasets and trials for a given independent
% variable with a given set of values.
%
% Usage:
% >> [STUDY] = std_selectdataset(STUDY, ALLEEG, indvar, indvarvals);
%
% Inputs:
% STUDY - EELAB STUDY structure
% ALLEEG - EELAB dataset structure
% indv... |
github | lcnbeapp/beapp-master | pop_clust.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_clust.m | 17,403 | utf_8 | 0c86a64fc1bc38103e1e67f0c4b204a9 | % pop_clust() - select and run a clustering algorithm on components from an EEGLAB STUDY
% structure of EEG datasets. Clustering data should be prepared beforehand using
% pop_preclust() and/or std_preclust(). The number of clusters must be
% specified in advance. If called i... |
github | lcnbeapp/beapp-master | pop_erspparams.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_erspparams.m | 8,995 | utf_8 | 670aed78afeb3667c344e153cf8879fc | % pop_erspparams() - Set plotting and statistics parameters for
% computing and plotting STUDY mean (and optionally
% single-trial) ERSP and ITC measures and measure
% statistics. Settings are stored within the STUDY
% structure (STUDY.etc.... |
github | lcnbeapp/beapp-master | std_detachplots.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_detachplots.m | 9,167 | utf_8 | 27fdb5491e2d54fe4e5fb76418c35ef2 | % std_detachplots() - Given a figure with subplots and several lines per axis, will add a callback to
% each axis specified in the 'figtitles' input. The callback consist in a figure with all the detached
% individuals lines.
%
% Usage:
% >> std_detachplots('','','data',data 'figtitles', alltitlestmp,'sbtitles',sb... |
github | lcnbeapp/beapp-master | std_specplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_specplot.m | 5,582 | utf_8 | a9230bd77bad7d1ec5ac55b5c61beed8 | % std_specplot() - plot STUDY component cluster spectra, either mean spectra
% for all requested clusters in the same figure, with spectra
% for different conditions (if any) plotted in different colors,
% or spectra for each specified cluster in a separate figure
... |
github | lcnbeapp/beapp-master | std_movecomp.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_movecomp.m | 6,804 | utf_8 | a592dff7e0ffc5b384d4dcc8b41d55b6 | % std_movecomp() - Move ICA component(s) from one cluster to another.
%
% Usage:
% >> [STUDY] = std_movecomp(STUDY, ALLEEG, from_cluster, to_cluster, comps);
% Inputs:
% STUDY - STUDY structure comprising all or some of the EEG datasets in ALLEEG.
% ALLEEG - vector of EEG structures in t... |
github | lcnbeapp/beapp-master | std_plottf.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_plottf.m | 14,853 | utf_8 | 309b1ebe75a277c0130cf64bc514b243 | % std_plottf() - plot ERSP/ITC images a component
% or channel cluster in a STUDY. Also allows plotting scalp
% maps.
% Usage:
% >> std_plottf( times, freqs, data, 'key', 'val', ...)
% Inputs:
% times - [vector] latencies in ms of the data points.
% freqs - [vector] frequencies in H... |
github | lcnbeapp/beapp-master | std_getindvar.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_getindvar.m | 7,332 | utf_8 | 6ae9d669af217a88f9cf15ea2478d5c6 | % std_getindvar - get independent variables of a STUDY
%
% Usage:
% [indvar indvarvals] = std_getindvar(STUDY);
% [indvar indvarvals] = std_getindvar(STUDY, mode, scandesign);
%
% Input:
% STUDY - EEGLAB STUDY structure
% mode - ['datinfo'|'trialinfo'|'both'] get independent variables
% linked to STU... |
github | lcnbeapp/beapp-master | std_uniformsetinds.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_uniformsetinds.m | 1,311 | utf_8 | 8c693e38166509a1a4f3be6994c4eb1e | % std_uniformsetinds() - Check uniform channel distribution accross datasets
%
% Usage:
% >> boolval = std_uniformsetinds(STUDY);
% Inputs:
% STUDY - EEGLAB STUDY
%
% Outputs:
% boolval - [0|1] 1 if uniform
%
% Authors: Arnaud Delorme, SCCN/UCSD, CERCO/CNRS, 2010-
% Copyright (C) Arna... |
github | lcnbeapp/beapp-master | std_topoplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_topoplot.m | 14,420 | utf_8 | a3141fe7504cf37ab41fb362f25aedd8 | % std_topoplot() - Command line function to plot cluster component and mean scalp maps.
% Displays either mean cluster/s scalp map/s, or all cluster/s components
% scalp maps with the mean cluster/s scsalp map in one figure.
% The scalp maps can be visualized only if ... |
github | lcnbeapp/beapp-master | std_centroid.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_centroid.m | 14,174 | utf_8 | f1be77fa82ecbcda91a416c38ccf6fb1 | % std_centroid() - compute cluster centroid in EEGLAB dataset STUDY.
% Compute and store the centroid(s) (i.e., mean(s))
% for some combination of six measures on specified
% clusters in a STUDY. Possible measures include: scalp
% maps, ERPs, spectra,... |
github | lcnbeapp/beapp-master | std_loadalleeg.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_loadalleeg.m | 7,104 | utf_8 | 377b0d5ee639622ea35859ef5af323cf | % std_loadalleeg() - constructs an ALLEEG structure, given the paths and file names
% of all the EEG datasets that will be loaded into the ALLEEG
% structure. The EEG datasets may be loaded without their EEG.data
% (see the pop_editoptions() function), so many... |
github | lcnbeapp/beapp-master | std_propplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_propplot.m | 8,354 | utf_8 | e7b216945a5dab56aa4be65b1672f850 | % std_propplot() - Command line function to plot component cluster
% properties for a STUDY set.
% Displays mean cluster scalp map, ERP, ERSP;
% dipole model, spectrum, and ITC in one figure
% per cluster. Only meaasures computed during
% ... |
github | lcnbeapp/beapp-master | robust_kmeans.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/robust_kmeans.m | 2,982 | utf_8 | b864201b216bd48106be885d09d04273 | % robust_kmeans() - an extension of Matlab kmeans() that removes outlier
% components from all clusters.
% This is a helper function called from pop_clust().
function [IDX,C,sumd,D,outliers] = robust_kmeans(data,N,STD,MAXiter,method)
% data - pre-clustering data matrix.
% N - number of wanted cluster... |
github | lcnbeapp/beapp-master | std_interp.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_interp.m | 6,657 | utf_8 | 7117e3e4255231bb8538847cbb3531b2 | % std_interp() - interpolate, if needed, a list of named data channels
% for all datasets included in a STUDY. Currently assumes
% that all channels have uniform locations across datasets.
%
% Usage: >> [STUDY ALLEEG] = std_interp(STUDY, ALLEEG, chans, method);
%
% Inputs:
% STU... |
github | lcnbeapp/beapp-master | std_chaninds.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_chaninds.m | 2,244 | utf_8 | f67a5b8ff7e1719881c3267bb7140eba | % std_chaninds() - look up channel indices in a STUDY
%
% Usage:
% >> inds = std_chaninds(STUDY, channames);
% >> inds = std_chaninds(EEG, channames);
% >> inds = std_chaninds(chanlocs, channames);
% Inputs:
% STUDY - studyset structure containing a changrp substructure.
% EE... |
github | lcnbeapp/beapp-master | pop_statparams.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_statparams.m | 24,437 | utf_8 | 8a9b2a040c4a54b5cca5cf657871b47b | % pop_statparams() - helper function for pop_erspparams, pop_erpparams, and
% pop_specparams.
%
% Usage:
% >> struct = pop_statparams(struct, 'default');
% >> struct = pop_statparams(struct, 'key', 'val', ...);
%
% Inputs:
% struct - parameter structure. When called with the 'default'
% ... |
github | lcnbeapp/beapp-master | std_maketrialinfo.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_maketrialinfo.m | 5,118 | utf_8 | 4ca496b66ab94b2ec129cd988851b1d7 | % std_maketrialinfo() - create trial information structure using the
% .epoch structure of EEGLAB datasets
%
% Usage:
% >> STUDY = std_maketrialinfo(STUDY, ALLEEG);
%
% Inputs:
% STUDY - EEGLAB STUDY set
% ALLEEG - vector of the EEG datasets included in the STUDY structure
%
% ... |
github | lcnbeapp/beapp-master | std_topo.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_topo.m | 5,582 | utf_8 | 1b9b523a881bf168a2748a5049883851 | % std_topo() - uses topoplot() to get the interpolated Cartesian grid of the
% specified component topo maps. The topo map grids are saved
% into a (.icatopo) file and a pointer to the file is stored
% in the EEG structure. If such a file already exists,
% load... |
github | lcnbeapp/beapp-master | std_stat.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_stat.m | 11,198 | utf_8 | 5f23c07e5c7ae572b7612768a93018be | % std_stat() - compute statistics for ERP/spectral traces or ERSP/ITC images
% of a component or channel cluster in a STUDY.
% Usage:
% >> [pcond, pgroup, pinter, statscond, statsgroup, statsinter] = std_stat( data, 'key', 'val', ...)
% Inputs:
% data - [cell array] mean data for each subject g... |
github | lcnbeapp/beapp-master | std_selcomp.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_selcomp.m | 3,156 | utf_8 | 00aa637c4e0c27267077e0bd01c2d8c6 | % std_selcomp() - Helper function for std_erpplot(), std_specplot()
% and std_erspplot() to select specific
% components prior to plotting.
% Usage:
% >> std_selcomp( STUDY, data, cluster, setinds, compinds, comps)
%
% Inputs:
% STUDY - EEGLAB STUDY structure.
% data -... |
github | lcnbeapp/beapp-master | neural_net.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/neural_net.m | 507 | utf_8 | 0511a54c57462633b86130c890cfbb4d | % neural_net() - computes clusters using Matlab Neural Net toolbox.
% Alternative clustering algorithm to kmeans().
% This is a helper function called from pop_clust().
function [IDX,C] = neural_net(clustdata,clus_num)
nmin = min(clustdata);
nmax = max(clustdata);
net = newc([nmin ;nmax].',clus_num);
... |
github | lcnbeapp/beapp-master | std_spec.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_spec.m | 17,403 | utf_8 | 0785a60da38cc843ec475bdac86f8574 | % std_spec() - Returns the ICA component spectra for a dataset. Updates the EEG structure
% in the Matlab environment and in the .set file as well. Saves the spectra
% in a file.
% Usage:
% >> [spec freqs] = std_spec(EEG, 'key', 'val', ...);
%
% Computes the mean s... |
github | lcnbeapp/beapp-master | std_precomp_worker.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_precomp_worker.m | 2,834 | utf_8 | 35f7db94f3bde2742d8ec681fae164f1 | % std_precomp_worker() - allow dispatching ERSP to be computed in parallel
% on a given cluster.
% Usage:
% >> feature = std_precomp_worker(filename, varargin);
%
% Inputs:
% filename - STUDY file name
%
% Optional inputs:
% Optional inputs are the same as for the std_precomp function. No... |
github | lcnbeapp/beapp-master | pop_studyerp.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_studyerp.m | 8,206 | utf_8 | b0813e4eb5cf7b6f15ee9f45028b7261 | % pop_studyerp() - create a simple design for ERP analysis
%
% Usage:
% >> [STUDY ALLEEG] = pop_studyerp; % pop up interface
%
% Outputs:
% STUDY - an EEGLAB STUDY set of loaded EEG structures
% ALLEEG - ALLEEG vector of one or more loaded EEG dataset structures
%
% Author: Arnaud Delorme, SCCN, ... |
github | lcnbeapp/beapp-master | std_itcplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_itcplot.m | 2,459 | utf_8 | 5d31d5576a555fc6e0ea524887479c2c | % std_itcplot() - Commandline function to plot cluster ITCs. Either displays mean cluster
% ITCs, or else all cluster component ITCs, plus the mean cluster ITC, in
% one figure per cluster and condition. ITCs can be visualized only if
% component ITCs were calculated a... |
github | lcnbeapp/beapp-master | std_readerpimage.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_readerpimage.m | 1,501 | utf_8 | 0c21798407bdacd79f5ef9bfe0c4110d | % std_readerpimage() - load ERPimage measures for data channels or
% for all components of a specified cluster.
% Usage:
% >> [STUDY, erpimagedata, times, trials, events] = std_readerpimage(STUDY, ALLEEG, varargin);
%
% Note: this function is a helper function that contains a call to the
% st... |
github | lcnbeapp/beapp-master | std_fileinfo.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_fileinfo.m | 3,535 | utf_8 | e6de7fbc6e0b582bd20aabb2d0afafbf | % std_fileinfo() - Check uniform channel distribution accross datasets
%
% Usage:
% >> [struct filepresent] = std_fileinfo(ALLEEG);
% Inputs:
% ALLEEG - EEGLAB ALLEEG structure
%
% Outputs:
% struct - structure of the same length as the ALLEEG variable
% containing all the fields in... |
github | lcnbeapp/beapp-master | std_clustread.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_clustread.m | 12,094 | utf_8 | fc68f0aa97d01ad111040de7a802cc1e | % std_clustread() - this function has been replaced by std_readdata() for
% consistency. Please use std_readdata() instead.
% load one or more requested measures
% ['erp'|'spec'|'ersp'|'itc'|'dipole'|'map']
% for all components of a specified clus... |
github | lcnbeapp/beapp-master | std_erpimageplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_erpimageplot.m | 7,319 | utf_8 | 5073f5d9c0bdd1e64fab8c87596d6553 | % std_erpimageplot() - Commandline function to plot cluster ERPimage or channel erpimage.
%
% Usage:
% >> [STUDY] = std_erpimageplot(STUDY, ALLEEG, key1, val1, key2, val2);
% >> [STUDY data times freqs pgroup pcond pinter] = ...
% std_erpimageplot(STUDY, ALLEEG ...);
% Inputs:
% STUDY - EEGLAB... |
github | lcnbeapp/beapp-master | std_checkset.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_checkset.m | 15,270 | utf_8 | 198e4cb3540ff8db426b902da6f4f092 | % std_checkset() - check STUDY set consistency
%
% Usage: >> [STUDY, ALLEEG] = std_checkset(STUDY, ALLEEG);
%
% Input:
% STUDY - EEGLAB STUDY set
% ALLEEG - vector of EEG datasets included in the STUDY structure
%
% Output:
% STUDY - a new STUDY set containing some or all of the datasets in ALLEEG,
... |
github | lcnbeapp/beapp-master | std_checkfiles.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_checkfiles.m | 7,593 | utf_8 | 6ac22d4c5d62c3eaf4f9a4888c9fa0a9 | % std_checkfiles() - Check all STUDY files consistency
%
% Usage:
% >> boolval = std_checkfiles(STUDY, ALLEEG);
% Inputs:
% STUDY - EEGLAB STUDY set comprising some or all of the EEG datasets in ALLEEG.
% ALLEEG - All EEGLAB datasets
%
% Outputs:
% boolval - [0|1] 1 if uniform
%
% A... |
github | lcnbeapp/beapp-master | std_specgram.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_specgram.m | 14,400 | utf_8 | c47a0f3d1446e9f4aa6ccb9446dc533a | % std_specgram() - Returns the ICA component or channel spectrogram for a dataset.
% Saves the spectra in a file.
% Usage:
% >> [spec freqs] = std_specgram(EEG, 'key', 'val', ...);
%
% Inputs:
% EEG - a loaded epoched EEG dataset structure.
%
% Optional inputs:
% 'components' - [nume... |
github | lcnbeapp/beapp-master | pop_preclust.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_preclust.m | 35,559 | utf_8 | 18c27f006ac8293d4a4fdf78bb6cc55b | % pop_preclust() - prepare STUDY components' location and activity measures for later clustering.
% Collect information in an interactive pop-up query window. To pre-cluster
% from the commandline, use std_preclust(). After data entry into the pop window,
% selected me... |
github | lcnbeapp/beapp-master | std_selsubject.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_selsubject.m | 2,842 | utf_8 | 6466ff23a5fb9b15112c7274c77f6ea5 | % std_selsubject() - Helper function for std_erpplot(), std_specplot()
% and std_erspplot() to select specific subject when
% plotting channel data.
% Usage:
% >> data = std_selsubject( data, subject, setinds, allsubjects);
%
% Inputs:
% data - [cell array] mean data for each ... |
github | lcnbeapp/beapp-master | std_pac.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_pac.m | 12,743 | utf_8 | 9fc01e1de80025c52deebe220a9c0b20 | % std_pac() - Compute or read PAC data (Phase Amplitude Coupling).
%
% Usage:
% >> [X times logfreqs ] = std_pac(EEG, 'key', 'val', ...);
% Inputs:
% EEG - an EEG dataset structure.
%
% Optional inputs:
% 'components1'- [numeric vector] components in the EEG structure used
% for spec... |
github | lcnbeapp/beapp-master | compute_ersp_times.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/compute_ersp_times.m | 2,069 | utf_8 | 444923a87f00e754398384b467789b6d | % compute_ERSP_times() - computes the widest possible ERSP/ITC time window,
% which depends on requested ERSP/ITC parameters such as epoch limits,
% frequency range, wavelet parameters, sampling rate and frequency
% resolution that are used by timef().
% This helper function is called ... |
github | lcnbeapp/beapp-master | std_dipplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_dipplot.m | 27,155 | utf_8 | 7aa203b7ca134c606fdce5feeeca46e8 | % std_dipplot() - Commandline function to plot cluster component dipoles. Dipoles for each
% named cluster is displayed in a separate figure. To view all the clustered
% components in the STUDY on the same figure (in a separate subplot), all
% STUDY clusters must be req... |
github | lcnbeapp/beapp-master | std_erpplot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_erpplot.m | 20,955 | utf_8 | e91aa1b81b5b2cecf07ce04d70e28dac | % std_erpplot() - Command line function to plot STUDY cluster component ERPs. Either
% displays grand mean ERPs for all requested clusters in the same figure,
% with ERPs for different conditions (if any) plotted in different colors.
% Else, displays ERP for each speci... |
github | lcnbeapp/beapp-master | std_preclust.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_preclust.m | 27,008 | utf_8 | 90006ebed95a949b1fd306df6e5d0454 | % std_preclust() - select measures to be included in computation of a preclustering array.
% This array is used by pop_clust() to find component clusters from a
% specified parent cluster.
% Selected measures (dipole location, ERPs, spectra, scalp maps, ERSPs,
% ... |
github | lcnbeapp/beapp-master | std_filecheck.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_filecheck.m | 8,785 | utf_8 | ed6e134b227c42300f92308c99c82ecc | % std_filecheck() - Check if ERSP or SPEC file contain specific parameters.
% This file must contain a Matlab structure with a field
% named 'parameter'. The content of this field will be
% compared to the 'params' input. If they are identical
% the o... |
github | lcnbeapp/beapp-master | std_changroup.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_changroup.m | 5,933 | utf_8 | 3ec8fa1b075f3697d4a1c1970be1031b | % std_changroup() - Create channel groups for plotting.
%
% Usage:
% >> STUDY = std_changroup(STUDY, ALLEEG);
% >> STUDY = std_changroup(STUDY, ALLEEG, chanlocs, 'interp');
% Inputs:
% ALLEEG - Top-level EEGLAB vector of loaded EEG structures for the dataset(s)
% ... |
github | lcnbeapp/beapp-master | std_reset.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_reset.m | 1,619 | utf_8 | 72ffdfcbfcf2b3d338ff1b59bcf6d6d5 | % std_reset() - Remove all preloaded measures from STUDY
%
% Usage:
% >> STUDY = std_reset(STUDY);
%
% Inputs:
% STUDY - EEGLAB STUDY structure
%
% Outputs:
% STUDY - EEGLAB STUDY structure
%
% Author: Arnaud Delorme, CERCO/CNRS & SCCN, INC, UCSD, 2009-
% Copyright (C) Arnaud Delorme, arno@sccn.ucsd.edu
%
% This... |
github | lcnbeapp/beapp-master | std_substudy.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_substudy.m | 5,138 | utf_8 | d57013b3c25ff4a8d8588e247f07bd61 | % std_substudy() - create a sub-STUDY set by removing datasets, conditions, groups, or
% subjects.
% Usage:
% >> [ STUDY ALLEEG ] = std_substudy(STUDY, ALLEEG, 'key', 'val', ...);
%
% Optional Inputs:
% STUDY - existing study structure.
% ALLEEG - vector of EEG da... |
github | lcnbeapp/beapp-master | std_plot.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_plot.m | 1,013 | utf_8 | c20379b5799cb761b42ccc8e155eb139 | % std_plot() - This function is outdated. Use std_plottf() to plot time/
% frequency decompositions and function std_plotcurve() to
% plot erp and spectrum.
% Copyright (C) 2006 Arnaud Delorme
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the... |
github | lcnbeapp/beapp-master | pop_precomp.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/pop_precomp.m | 21,303 | utf_8 | 3635c5fd488f6a3f81aadbc21962c9c5 | % pop_precomp() - precompute measures (spectrum, ERP, ERSP) for a collection of data
% channels. Calls std_precomp().
% Usage:
% >> [STUDY, ALLEEG] = pop_precomp(STUDY, ALLEEG); % pop up interactive window
% Inputs:
% STUDY - STUDY set structure containing (loaded) EEG datas... |
github | lcnbeapp/beapp-master | std_prepare_neighbors.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_prepare_neighbors.m | 4,382 | utf_8 | a4a473e9fb500e8887f25e81a5641d93 | % std_prepare_neighbors() - prepare Fieldtrip channel neighbor structure.
% Only prepare the structure if necessary based
% on statistical options in STUDY.etc.statistics.
% Use the 'force' option to force preparing the
% ... |
github | lcnbeapp/beapp-master | std_savedat.m | .m | beapp-master/Packages/eeglab14_1_2b/functions/studyfunc/std_savedat.m | 1,752 | utf_8 | 32ee6d94f325818156111da795834c6d | % std_savedat() - save measure for computed data
%
% Usage: std_savedat( filename, structure);
%
% Authors: Arnaud Delorme, SCCN, INC, UCSD, 2006-
% Copyright (C) Arnaud Delorme, SCCN, INC, UCSD, October 11, 2004, arno@sccn.ucsd.edu
%
% This program is free software; you can redistribute it and/or modify
% it under t... |
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