plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | lcnhappe/happe-master | test_ft_preprocessing.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_preprocessing.m | 2,987 | utf_8 | b83998ddf8d5db1bb3dbea7d4905cd8f | function test_ft_preprocessing(datainfo, writeflag, version)
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_ft_preprocessing
% TEST ft_preprocessing ref_datasets
% writeflag determines whether the output should be saved to disk
% version determines the output directory
if nargin<1
datainfo = ref_datasets;
end
if na... |
github | lcnhappe/happe-master | test_bug2377b.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_bug2377b.m | 3,684 | utf_8 | 6609cf02d809a7ed643457946040bee9 | function test_bug2377b
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_bug2377b
% TEST ft_senslabel ft_senstype ft_chantype ft_chanunit ft_datatype_sens
[pnt, tri] = icosahedron162;
pnt = pnt .* 10; % convert to cm
sel = find(pnt(:,3)>0); % take the upper hemisphere
nchan = length(sel); ... |
github | lcnhappe/happe-master | test_bug1786.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_bug1786.m | 28,790 | utf_8 | 888eea2bc9b55eb9bbd83a5d3f474e8d | function test_bug1786
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_bug1786
% TEST ft_channelrepair ft_prepare_neighbours
% Original report:
% Hello,
%
% When I run sphericalSplineInterpolate.m on my data it gets stuck on line 55 at:
% "iC = pinv(C);".
%
% Thanks
% Yoel
%
% http://bugzilla.fcdonders.nl/show_bug.cgi... |
github | lcnhappe/happe-master | test_bug2761.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_bug2761.m | 516 | utf_8 | 40e8c6fcd9af682c490acf41bf40d317 |
function test_bug2761
% WALLTIME 00:10:00
% MEM 1GB
% TEST test_bug2761
% TEST ft_connectivityanalysis ft_connectivity_corr
data = [];
for i=1:5
data.label{i} = num2str(i);
end
for i=1:13
data.trial{i} = randn(5,300);
data.time{i} = (1:300)/300;
end
cfg = [];
cfg.covariance = 'yes';
timelock = ft_timelocka... |
github | lcnhappe/happe-master | test_csp.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_csp.m | 2,280 | utf_8 | 6749925fb2418cf2a37607668d16c4c7 | function test_suite = test_csp
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_csp
% TEST ft_component_analysis
% Please beware of notations mistakes in [1]. For example equation (1) does not
% compute the t by t channel covariance, but an n by n time covariance matrix.
%
% [1] Zoltan J. Koles. The quantitative extract... |
github | lcnhappe/happe-master | test_bug1925.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_bug1925.m | 1,259 | utf_8 | 3822edac5639686e3eb5ab751e54276d | function test_bug1925
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_bug1925
% TEST surface_nesting ft_headmodel_bemcp
[ftver, ftpath] = ft_version;
cd(fullfile(ftpath, 'forward/private')); % this is where the surface_nesting function is located
[pos, tri] = icosahedron162;
bnd10.id = 10;
bnd10.pos = pos*10;
bnd10.... |
github | lcnhappe/happe-master | test_ft_timelockanalysis_new.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_timelockanalysis_new.m | 15,554 | utf_8 | 25776f063c3317b6ed7bb48c417064d8 | function test_ft_timelockanalysis_new(datainfo,writeflag)
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_ft_timelockanalysis_new
% ft_timelockanalysis_new ft_timelockanalysis ref_datasets
% this is a function for testing ft_timelockanalysis_new, which is not official yet
% the optional writeflag determines whether th... |
github | lcnhappe/happe-master | test_bug2225.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_bug2225.m | 219 | utf_8 | cd5a86e01c4737d10a1bf2c4f91cde09 | function test_bug2225
% WALLTIME 00:10:00
% MEM 1gb
tic
for i=1:10000
issue_warning
end % for
toc
end % main function
function issue_warning
ft_warning('this warning should not show too often');
end % subfunction
|
github | lcnhappe/happe-master | test_tutorial_coherence.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_tutorial_coherence.m | 7,081 | utf_8 | a00ebdbf1a5ecf3f6ec67bfaa67876d8 | function test_tutorial_coherence
% MEM 4500mb
% WALLTIME 00:20:00
% TEST test_tutorial_coherence
% TEST ft_freqanalysis ft_connectivityanalysis ft_multiplotER ft_singleplotER ft_topoplotER ft_sourceanalysis ft_sourceinterpolate ft_prepare_sourcemodel headsurface
addpath('/home/common/matlab/fieldtrip/data/ftp/tutori... |
github | lcnhappe/happe-master | inspect_qsubcellfun3.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/inspect_qsubcellfun3.m | 1,266 | utf_8 | 34dab50806cd673f776e8cd5752e5702 | function inspect_qsubcellfun3
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_qsubcellfun3
% TEST qsubcellfun qsubfeval qsubget
% this should not run in the automated batch, because the torque queue
% will be completely full with other jobs, causing this job to timeout
if isempty(which('qsubcellfun'))
[ftver, ftpath... |
github | lcnhappe/happe-master | test_printstruct.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_printstruct.m | 2,606 | utf_8 | a851c70161c6ff3f6b68993939ce7bca | function test_printstruct
% MEM 4096mb
% WALLTIME 00:20:00
% the above requirements are quite big, but this script is inherently
% unpredictable
numtests = 10;
fprintf('generating %d random deep nested structures to test printstruct() serialization\n', numtests);
for k = 1:numtests
% generate some deep structure
... |
github | lcnhappe/happe-master | test_bug2639.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_bug2639.m | 5,224 | utf_8 | c9dcca414ad6ef237af60845013ff6f9 | function test_bug2639
% TEST test_bug2639
% TEST ft_checkdata
% MEM 2gb
% WALLTIME 00:10:00
shufflechan = [1 3 2]';
channelcmb = {
'1' '2'
'1' '3'
'2' '3'
};
%%
freq1o = [];
freq1o.freq = 1;
freq1o.label = {'1', '2', '3'}';
freq1o.dimord = 'chan_freq';
freq1o.powspctrm = reshape([1 2 ... |
github | lcnhappe/happe-master | test_tutorial_headmodel_meg.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_tutorial_headmodel_meg.m | 1,927 | utf_8 | 8075bf65196420c5b808e6585988c6ee | function test_tutorial_headmodel_meg(datadir)
% MEM 2000mb
% WALLTIME 00:45:00
% TEST test_tutorial_headmodel_meg
% TEST ft_read_mri ft_volumesegment ft_prepare_headmodel ft_plot_vol
% TEST ft_convert_units ft_read_sens ft_plot_sens
% intial version by Lilla Magyari
if nargin==0
datadir = '/home/common/matlab/fiel... |
github | lcnhappe/happe-master | test_ft_freqanalysis.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_freqanalysis.m | 8,404 | utf_8 | 1befb77d0d1d1b8a05ebc8a98d591d04 | function test_ft_freqanalysis(datainfo, writeflag, version)
% MEM 8000mb
% WALLTIME 01:30:00
% TEST test_ft_freqanalysis
% TEST ft_freqanalysis ref_datasets
% writeflag determines whether the output should be saved to disk
% version determines the output directory
if nargin<1
datainfo = ref_datasets;
end
if narg... |
github | lcnhappe/happe-master | test_warning_once.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_warning_once.m | 1,458 | utf_8 | 2b8f09a3ad31a7f8ae5279e661006211 | function test_warning_once
% MEM 1500mb
% WALLTIME 00:10:00
ft_warning('-clear');
warning1 = 'hululu';
warning2 = 'aloah hey';
for i=1:2
[output] = evalc(['warning_caller(warning1, warning2)']);
w1size = strfind(output, warning1);
w2size = strfind(output, warning2);
if numel(w1size)~=2 || numel(w2size)~=2
... |
github | lcnhappe/happe-master | test_ft_connectivity_powcorr_ortho.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_connectivity_powcorr_ortho.m | 985 | utf_8 | ab81c598019efd18451700831a55be59 | function test_ft_connectivity_powcorr_ortho
% MEM 1500mb
% WALLTIME 00:10:00
% TEST: test_ft_connectivity_powcorr_ortho
% TEST: ft_connectivity_powcorr_ortho
mom1 = randn(1,100)+1i*randn(1,100);
mom2 = randn(1,100)+1i*randn(1,100);
c = ft_connectivity_powcorr_ortho([mom1;mom2], 'refindx', 1);
c = c(2,:);
[c1, c2] ... |
github | lcnhappe/happe-master | test_ft_timelockanalysis.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_timelockanalysis.m | 2,917 | utf_8 | 544f3d9ad6b049dc2e929a3fd9bf8ec1 | function test_ft_timelockanalysis(datainfo, writeflag, version)
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_ft_timelockanalysis
% ft_timelockanalysis ref_datasets
% writeflag determines whether the output should be saved to disk
% version determines the output directory
if nargin<1
datainfo = ref_datasets;
end
i... |
github | lcnhappe/happe-master | test_ft_prepare_mesh.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_prepare_mesh.m | 6,496 | utf_8 | 1509c54e1eea7cffc5bf32566f1d1a85 | function test_ft_prepare_mesh
% MEM 1500mb
% WALLTIME 00:10:00
% test ft_prepare_mesh also used for constructing SIMBIO FEM head models
% see also http://bugzilla.fcdonders.nl/show_bug.cgi?id=1815
% TEST test_ft_prepare_mesh
% TEST ft_prepare_mesh ft_datatype_segmentation ft_plot_mesh
%% segmentations
example.dim ... |
github | lcnhappe/happe-master | trialfun_affcog.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/trialfun_affcog.m | 1,267 | utf_8 | 559386a8dcd6b0a2b6966552240ca5f9 |
function [trl, event] = trialfun_affcog(cfg)
%% the first part is common to all trial functions
% read the header (needed for the samping rate) and the events
hdr = ft_read_header(cfg.headerfile);
event = ft_read_event(cfg.headerfile);
%% from here on it becomes specific to the experiment and the data fo... |
github | lcnhappe/happe-master | test_bug1397.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_bug1397.m | 3,150 | utf_8 | 0a032e78d8becf9f7f3c7c25f069b8b3 | function test_bug1397
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_bug1397
% TEST ft_preprocessing ft_appenddata
% the following code was obtained from http://www.fieldtriptoolbox.org/tutorial/coherence
% on Wed Mar 28 15:36:40 CEST 2012
% find the interesting epochs of data
cfg = [];
% MODIFICATION, use trialfun h... |
github | lcnhappe/happe-master | test_bug1618.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_bug1618.m | 449 | utf_8 | 76ec9df5e64a5bca83b6011dbde758b8 | function test_suite = test_bug1618
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_bug1618
% add xunit to path
ft_hastoolbox('xunit',1);
initTestSuite; % for xUnit
function test_no_nan
% TODO: load example data, test for absence of NAN.
h = ft_read_header('data_bug1618/bug1618.dat');
h
h.chanunit
h.chantype... |
github | lcnhappe/happe-master | test_ft_crossfrequencyanalysis.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_crossfrequencyanalysis.m | 6,513 | utf_8 | d38e768a1f5937af96f9a351237c54a5 | function test_ft_crossfrequencyanalysis
% MEM 2gb
% WALLTIME 0:15:00
% TEST test_ft_crossfrequencyanalysis
% TEST ft_crossfrequencyanalysis
clear all;
close all;
%%%%%% generate simulation data %%%%%%%%%%%%%
% channels
N = 2;
s = zeros(N,4000);
for i = 1:N
num = 45; % number of alpha cyc... |
github | lcnhappe/happe-master | test_ft_selectdata.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_selectdata.m | 25,710 | utf_8 | 8c3047968d7baeba558f3d6580c426e9 | function test_ft_selectdata
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_ft_selectdata
% TEST ft_selectdata ft_selectdata_old ft_selectdata_new ft_appendfreq
timelock1 = [];
timelock1.label = {'1' '2'};
timelock1.time = 1:5;
timelock1.dimord = 'chan_time';
timelock1.avg = randn(2,5);
cfg = [];
cfg.channel = 1;
tim... |
github | lcnhappe/happe-master | test_ft_channelcombination.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_channelcombination.m | 7,145 | utf_8 | 92126b1e575f43f578016080f381e561 | function test_ft_channelcombination
% MEM 1500mb
% WALLTIME 00:10:00
% TEST test_ft_channelcombination
% TEST ft_channelcombination
% this function tests the new implementation of ft_channelcombination
load(fullfile(dccnpath('/home/common/matlab/fieldtrip/data/test/latest/raw/meg'),'preproc_ctf151.mat'));
label = d... |
github | lcnhappe/happe-master | test_ft_analysispipeline.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_analysispipeline.m | 2,685 | utf_8 | 9466e08ec41682a2c6b7afc284babec1 | function test_ft_analysispipeline
% MEM 1500mb
% WALLTIME 02:53:11
% TEST test_ft_analysispipeline
% TEST ft_analysispipeline
% the style of this test script is also used in test_ft_datatype and test_bug2185
global ft_default
ft_default.trackusage = 'no'; % this calls ft_analysispipeline more than 6000 times, those... |
github | lcnhappe/happe-master | test_ft_componentanalysis.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_componentanalysis.m | 3,273 | utf_8 | b0c2b5a3a4fc97828c4305a836bde27c | function test_ft_componentanalysis(datainfo, writeflag, version)
% MEM 2gb
% WALLTIME 00:10:00
% TEST test_ft_componentanalysis
% ft_componentanalysis ref_datasets
% writeflag determines whether the output should be saved to disk
% version determines the output directory
if nargin<1
datainfo = ref_datasets;
end
i... |
github | lcnhappe/happe-master | test_prepare_freq_matrices.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_prepare_freq_matrices.m | 15,003 | utf_8 | 08bea5d768d5aeaaa4ad0938cac4ce3b | function test_prepare_freq_matrices
% WALLTIME 00:10:00
% MEM 1000mb
% TEST test_prepare_freq_matrices
% TEST prepare_freq_matrices
% TEST ft_sourceanalysis
datadir = dccnpath('/home/common/matlab/fieldtrip/data/test/latest/freq/meg');
curdir = pwd;
cd(dccnpath('/home/common/matlab/fieldtrip'));
% fourier data, mu... |
github | lcnhappe/happe-master | test_ft_checkdata.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/test_ft_checkdata.m | 7,907 | utf_8 | 342cc383141a15f393ff7aedcbb493a4 | function test_ft_checkdata
% MEM 1500mb
% WALLTIME 00:20:00
% TEST test_ft_checkdata
% TEST ft_checkdata
%% converting raw data to timelock data
% make some raw data with unequal time-axis, excluding 0
data = [];
data.label = {'1', '2'};
for m=[eps exp(1) pi 1:20]
for n=.1:.1:m
data.time{1} = -.5:(n/m):-.1;
... |
github | lcnhappe/happe-master | getdimord.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/getdimord.m | 20,107 | utf_8 | 706f4f45a5d4ae7535c204b8c010f76b | function dimord = getdimord(data, field, varargin)
% GETDIMORD
%
% Use as
% dimord = getdimord(data, field)
%
% See also GETDIMSIZ, GETDATFIELD
if ~isfield(data, field) && isfield(data, 'avg') && isfield(data.avg, field)
field = ['avg.' field];
elseif ~isfield(data, field) && isfield(data, 'trial') && isfield(dat... |
github | lcnhappe/happe-master | normals.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/normals.m | 2,528 | utf_8 | 96701c7ebda7e6efca8095b3adb6081c | function [nrm] = normals(pnt, tri, opt)
% NORMALS compute the surface normals of a triangular mesh
% for each triangle or for each vertex
%
% [nrm] = normals(pnt, tri, opt)
% where opt is either 'vertex' or 'triangle'
% Copyright (C) 2002-2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fiel... |
github | lcnhappe/happe-master | csp.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/csp.m | 1,702 | utf_8 | 3eb6c73192bc8163344c9b5e70a04877 | function [W] = csp(C1, C2, m)
% CSP calculates the common spatial pattern (CSP) projection.
%
% Use as:
% [W] = csp(C1, C2, m)
%
% This function implements the intents of the CSP algorithm described in [1].
% Specifically, CSP finds m spatial projections that maximize the variance (or
% band power) in one condition (... |
github | lcnhappe/happe-master | hcp_dirlist.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/hcp_dirlist.m | 1,228 | utf_8 | b0501179c448a08e78e771ff578fa072 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SUBFUNCTION
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [list, numdirs, numfiles] = hcp_dirlist(basedir, recursive)
if nargin<2
recursive = true;
end
if ~isdir(basedir)
error('directory "%s" does not exist', basedir)
end
list = dir... |
github | lcnhappe/happe-master | ft_platform_supports.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/ft_platform_supports.m | 9,557 | utf_8 | eb0e55d84d57e6873cce8df6cad90d96 | function tf = ft_platform_supports(what,varargin)
% FT_PLATFORM_SUPPORTS returns a boolean indicating whether the current platform
% supports a specific capability
%
% Usage:
% tf = ft_platform_supports(what)
% tf = ft_platform_supports('matlabversion', min_version, max_version)
%
% The following values are allowe... |
github | lcnhappe/happe-master | ft_warning.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/ft_warning.m | 7,789 | utf_8 | d832a7ad5e2f9bb42995e6e5d4caa198 | function [ws, warned] = ft_warning(varargin)
% FT_WARNING will throw a warning for every unique point in the
% stacktrace only, e.g. in a for-loop a warning is thrown only once.
%
% Use as one of the following
% ft_warning(string)
% ft_warning(id, string)
% Alternatively, you can use ft_warning using a timeout
% ... |
github | lcnhappe/happe-master | benchmark.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/benchmark.m | 3,925 | utf_8 | c57855145ed5e0e6dcce46f2eac7ad03 | function benchmark(funname, argname, argval, m_array, n_array, niter, varargin)
% BENCHMARK a given function
%
% Use as
% benchmark(funname, argname, argval, m_array, n_array, niter, ...)
%
% Optional input arguments should come in key-value pairs and may include
% feedback = none, figure, text, table, all
% ... |
github | lcnhappe/happe-master | identical.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/identical.m | 6,335 | utf_8 | 75a144da8012630d9a34dca990228677 | function [ok, message] = identical2(a, b, varargin)
% IDENTICAL compares two input variables and returns 1/0
% and a message containing the details on the observed difference.
%
% Use as
% [ok, message] = identical(a, b)
% [ok, message] = identical(a, b, ...)
%
% This works for all possible input variables a and b... |
github | lcnhappe/happe-master | getdimsiz.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/getdimsiz.m | 2,235 | utf_8 | 340d495a654f2f6752aa1af7ac915390 | function dimsiz = getdimsiz(data, field)
% GETDIMSIZ
%
% Use as
% dimsiz = getdimsiz(data, field)
%
% If the length of the vector that is returned is smaller than the
% number of dimensions that you would expect from GETDIMORD, you
% should assume that it has trailing singleton dimensions.
%
% Example use
% dimord... |
github | lcnhappe/happe-master | hcp_filelist.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/test/private/hcp_filelist.m | 447 | utf_8 | 71aed91ab0ef231e13aba8c62e7b1661 |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SUBFUNCTION
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function list = hcp_filelist(basedir)
dirlist = hcp_dirlist(basedir, true);
dirlist{end+1} = basedir;
list = {};
for i=1:length(dirlist)
f = dir(dirlist{i});
f = f(~[f.isdir]);
f = {... |
github | lcnhappe/happe-master | beamformer_pcc.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/inverse/beamformer_pcc.m | 13,262 | utf_8 | c6189828cfd87b980fb6d6c6f69ae63d | function [dipout] = beamformer_pcc(dip, grad, headmodel, dat, Cf, varargin)
% BEAMFORMER_PCC implements an experimental beamformer based on partial
% canonical correlations or coherences. Dipole locations that are outside
% the head will return a NaN value.
%
% Use as
% [dipout] = beamformer_pcc(dipin, grad, headmod... |
github | lcnhappe/happe-master | beamformer_dics.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/inverse/beamformer_dics.m | 26,041 | utf_8 | d4c1f578b6725dbeb67c9a09c2ae2dd0 | function [dipout] = beamformer_dics(dip, grad, headmodel, dat, Cf, varargin)
% BEAMFORMER_DICS scans on pre-defined dipole locations with a single dipole
% and returns the beamformer spatial filter output for a dipole on every
% location. Dipole locations that are outside the head will return a
% NaN value.
%
% Use as... |
github | lcnhappe/happe-master | ft_sloreta.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/inverse/ft_sloreta.m | 16,166 | utf_8 | 80ba97c0f6bbf9828825f37d58664d9f | function [dipout] = ft_sloreta(dip, grad, headmodel, dat, Cy, varargin)
% ft_sloreta scans on pre-defined dipole locations with a single dipole
% and returns the sLORETA spatial filter output for a dipole on every
% location. Dipole locations that are outside the head will return a
% NaN value. Adapted from beamformer... |
github | lcnhappe/happe-master | beamformer_lcmv.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/inverse/beamformer_lcmv.m | 17,369 | utf_8 | 2cfd8f53b59635586786d35fb121f695 | function [dipout] = beamformer_lcmv(dip, grad, headmodel, dat, Cy, varargin)
% BEAMFORMER_LCMV scans on pre-defined dipole locations with a single dipole
% and returns the beamformer spatial filter output for a dipole on every
% location. Dipole locations that are outside the head will return a
% NaN value.
%
% Use as... |
github | lcnhappe/happe-master | dipole_fit.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/inverse/dipole_fit.m | 14,489 | utf_8 | b89f3d077a26265e017c4fd90d2fb7ac | function [dipout] = dipole_fit(dip, sens, headmodel, dat, varargin)
% DIPOLE_FIT performs an equivalent current dipole fit with a single
% or a small number of dipoles to explain an EEG or MEG scalp topography.
%
% Use as
% [dipout] = dipole_fit(dip, sens, headmodel, dat, ...)
%
% Additional input arguments should b... |
github | lcnhappe/happe-master | mesh_spectrum.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/inverse/private/mesh_spectrum.m | 1,370 | utf_8 | 94ec5a0ad9c740bd99c6d6a415702be9 | % Mesh spectrum
function [L,H,d] = mesh_spectrum(S,n,varargin)
%[L,H,d] = ct_mesh_spectrum(S,n,mode)
% Compute the mesh laplace matrix and its spectrum
% input,
% S: mesh file, it has to have a pnt and a tri field
% n: number of mesh harmonic functions
% mode: 'full' for the full graph, 'half' if you want to do the f... |
github | lcnhappe/happe-master | ft_hastoolbox.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/inverse/private/ft_hastoolbox.m | 24,831 | utf_8 | 43bae19e25ce108f013f1c401e497630 | function [status] = ft_hastoolbox(toolbox, autoadd, silent)
% FT_HASTOOLBOX tests whether an external toolbox is installed. Optionally
% it will try to determine the path to the toolbox and install it
% automatically.
%
% Use as
% [status] = ft_hastoolbox(toolbox, autoadd, silent)
%
% autoadd = 0 means that it will ... |
github | lcnhappe/happe-master | ft_inverse_beamformer_dics.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/inverse/new/ft_inverse_beamformer_dics.m | 13,353 | utf_8 | 79c230d4fcdc8529ee9f1f03b205f5fd | function [estimate] = ft_inverse_beamformer_dics(leadfield, Cf, varargin)
% FT_INVERSE_BEAMFORMER_DICS estimates the source power or source
% coherence according to the Dynamic Imaging of Coherent Sources
% method.
%
% Use as
% estimate = ft_inverse_beamformer_dics(leadfield, Cf, ...)
% where
% leadfield = leadfi... |
github | lcnhappe/happe-master | firfiltdcpadded.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/firfiltdcpadded.m | 2,137 | utf_8 | b21b4207bf032e32cc6f0597db3cb4fe | % firfiltdcpadded() - Pad data with DC constant and filter
%
% Usage:
% >> data = firfiltdcpadded(data, b, causal);
%
% Inputs:
% data - raw data
% b - vector of filter coefficients
% causal - boolean perform causal filtering {default 0}
%
% Outputs:
% data - smoothed data
%
% Note:
% f... |
github | lcnhappe/happe-master | minphaserceps.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/minphaserceps.m | 1,275 | utf_8 | 7b751637e7eed71e29f91a4ef6b586e6 | % rcepsminphase() - Convert FIR filter coefficient to minimum phase
%
% Usage:
% >> b = minphaserceps(b);
%
% Inputs:
% b - FIR filter coefficients
%
% Outputs:
% bMinPhase - minimum phase FIR filter coefficients
%
% Author: Andreas Widmann, University of Leipzig, 2013
%
% References:
% [1] Smith III, O. J. (20... |
github | lcnhappe/happe-master | firws.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/firws.m | 3,219 | utf_8 | 0ab4c517238d31712ba1d97ab2497f45 | %firws() - Designs windowed sinc type I linear phase FIR filter
%
% Usage:
% >> b = firws(m, f);
% >> b = firws(m, f, w);
% >> b = firws(m, f, t);
% >> b = firws(m, f, t, w);
%
% Inputs:
% m - filter order (mandatory even)
% f - vector or scalar of cutoff frequency/ies (-6 dB;
% pi rad / sample)
%
% O... |
github | lcnhappe/happe-master | pop_firma.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/pop_firma.m | 3,356 | utf_8 | e6d49147b8406a5ac3fed31ab0809194 | % pop_firma() - Filter data using moving average FIR filter
%
% Usage:
% >> [EEG, com] = pop_firma(EEG); % pop-up window mode
% >> [EEG, com] = pop_firma(EEG, 'forder', order);
%
% Inputs:
% EEG - EEGLAB EEG structure
% 'forder' - scalar filter order. Mandatory even
%
% Outputs:
% EEG - filtered ... |
github | lcnhappe/happe-master | pop_firpm.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/pop_firpm.m | 7,885 | utf_8 | c7719de703135804f12c5877e899956b | % pop_firpm() - Filter data using Parks-McClellan FIR filter
%
% Usage:
% >> [EEG, com, b] = pop_firpm(EEG); % pop-up window mode
% >> [EEG, com, b] = pop_firpm(EEG, 'key1', value1, 'key2', ...
% value2, 'keyn', valuen);
%
% Inputs:
% EEG - EEGLAB EEG structure
% 'fcutoff' -... |
github | lcnhappe/happe-master | pop_eegfiltnew.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/pop_eegfiltnew.m | 8,458 | utf_8 | 568c652401a53a0b370d55e248775e5a | % pop_eegfiltnew() - Filter data using Hamming windowed sinc FIR filter
%
% Usage:
% >> [EEG, com, b] = pop_eegfiltnew(EEG); % pop-up window mode
% >> [EEG, com, b] = pop_eegfiltnew(EEG, locutoff, hicutoff, filtorder,
% revfilt, usefft, plotfreqz, minphase);
%
% Inputs:
% EEG ... |
github | lcnhappe/happe-master | pop_xfirws.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/pop_xfirws.m | 10,425 | utf_8 | d0777a1329eeb3b766e505a0b61242c9 | % pop_xfirws() - Design and export xfir compatible windowed sinc FIR filter
%
% Usage:
% >> pop_xfirws; % pop-up window mode
% >> [b, a] = pop_xfirws; % pop-up window mode
% >> pop_xfirws('key1', value1, 'key2', value2, 'keyn', valuen);
% >> [b, a] = pop_xfirws('key1', value1, 'key2', value2, 'keyn', valuen);
%... |
github | lcnhappe/happe-master | firfiltsplit.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/firfiltsplit.m | 2,363 | utf_8 | 8e58b4fa2694a8b1d55b8fcddcf94b4f | % firfiltsplit() - Split data at discontinuities and forward to dc padded
% filter function
%
% Usage:
% >> EEG = firfiltsplit(EEG, b);
%
% Inputs:
% EEG - EEGLAB EEG structure
% b - vector of filter coefficients
% causal - scalar boolean perform causal filtering {d... |
github | lcnhappe/happe-master | eegplugin_firfilt.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/eegplugin_firfilt.m | 2,667 | utf_8 | 681ba5e0933cafd6bb95672f910816cd | % eegplugin_firfilt() - EEGLAB plugin for filtering data using linear-
% phase FIR filters
%
% Usage:
% >> eegplugin_firfilt(fig, trystrs, catchstrs);
%
% Inputs:
% fig - [integer] EEGLAB figure
% trystrs - [struct] "try" strings for menu callbacks.
% catchstrs - [struct] "catc... |
github | lcnhappe/happe-master | windows.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/windows.m | 2,876 | utf_8 | 581c2f660f641935667a234f9b024f3a | % windows() - Returns handle to window function or window
%
% Usage:
% >> h = windows(t);
% >> h = windows(t, m);
% >> h = windows(t, m, a);
%
% Inputs:
% t - char array 'rectangular', 'bartlett', 'hann', 'hamming',
% 'blackman', 'blackmanharris', or 'kaiser'
%
% Optional inputs:
% m - scalar window len... |
github | lcnhappe/happe-master | pop_firpmord.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/pop_firpmord.m | 3,145 | utf_8 | f4dae3b8e73f8ab3d73c2d207506ddd8 | % pop_firpmord() - Estimate Parks-McClellan filter order and weights
%
% Usage:
% >> [m, wtpass, wtstop] = pop_firpmord(f, a); % pop-up window mode
% >> [m, wtpass, wtstop] = pop_firpmord(f, a, dev);
% >> [m, wtpass, wtstop] = pop_firpmord(f, a, dev, fs);
%
% Inputs:
% f - vector frequency band edges
% ... |
github | lcnhappe/happe-master | firfilt.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/firfilt.m | 4,262 | utf_8 | d5703bbd52180bfb0661e6db5e649967 | % firfilt() - Pad data with DC constant, filter data with FIR filter,
% and shift data by the filter's group delay
%
% Usage:
% >> EEG = firfilt(EEG, b, nFrames);
%
% Inputs:
% EEG - EEGLAB EEG structure
% b - vector of filter coefficients
%
% Optional inputs:
% nFrames -... |
github | lcnhappe/happe-master | pop_firws.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/pop_firws.m | 10,634 | utf_8 | 830347cf85c318140462a11e9257b53b | % pop_firws() - Filter data using windowed sinc FIR filter
%
% Usage:
% >> [EEG, com, b] = pop_firws(EEG); % pop-up window mode
% >> [EEG, com, b] = pop_firws(EEG, 'key1', value1, 'key2', ...
% value2, 'keyn', valuen);
%
% Inputs:
% EEG - EEGLAB EEG structure
% 'fcutoff' - v... |
github | lcnhappe/happe-master | plotfresp.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/plotfresp.m | 3,898 | utf_8 | 71a74a912328b37353e1523b662840fa | % plotfresp() - Plot FIR filter's impulse, step, frequency, magnitude,
% and phase response
%
% Usage:
% >> plotfresp(b, a, n, fs);
%
% Inputs:
% b - vector filter coefficients
%
% Optional inputs:
% a - currently unused, reserved for future compatibility with IIR
% filters {defaul... |
github | lcnhappe/happe-master | pop_firwsord.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/pop_firwsord.m | 5,354 | utf_8 | 5150d668b377feb0d9e95b49486978ca | % pop_firwsord() - Estimate windowed sinc filter order depending on
% window type and requested transition band width
%
% Usage:
% >> [m, dev] = pop_firwsord; % pop-up window mode
% >> m = pop_firwsord(wtype, fs, df);
% >> m = pop_firwsord('kaiser', fs, df, dev);
%
% Inputs:
% wtype - char arra... |
github | lcnhappe/happe-master | pop_kaiserbeta.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/pop_kaiserbeta.m | 2,315 | utf_8 | 9a8a6636653865493068a0e901deeda6 | % pop_kaiserbeta() - Estimate Kaiser window beta
%
% Usage:
% >> [beta, dev] = pop_kaiserbeta; % pop-up window mode
% >> beta = pop_kaiserbeta(dev);
%
% Inputs:
% dev - scalar maximum passband deviation/ripple
%
% Output:
% beta - scalar Kaiser window beta
% dev - scalar maximum passband devi... |
github | lcnhappe/happe-master | findboundaries.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/firfilt1.6.2/findboundaries.m | 1,867 | utf_8 | b4b28dadb5f28c802c41266f791d942c | % findboundaries() - Find boundaries (data discontinuities) in event
% structure of continuous EEG dataset
%
% Usage:
% >> boundaries = findboundaries(EEG.event);
%
% Inputs:
% EEG.event - EEGLAB EEG event structure
%
% Outputs:
% boundaries - scalar or vector of boundary event latencies... |
github | lcnhappe/happe-master | pop_dipfit_manual.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/pop_dipfit_manual.m | 1,755 | utf_8 | eba5714bbc90a749dad3cbbf6d51a4d7 | % pop_dipfit_manual() - interactively do dipole fit of selected ICA components
% Function deprecated. Use pop_dipfit_nonlinear()
% instead
% Usage:
% >> OUTEEG = pop_dipfit_manual( INEEG )
%
% Inputs:
% INEEG input dataset
%
% Outputs:
% OUTEEG output dataset... |
github | lcnhappe/happe-master | eeglab2fieldtrip.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/eeglab2fieldtrip.m | 5,810 | utf_8 | bebbd3c516538fee4fe6182dcd06e54c | % eeglab2fieldtrip() - do this ...
%
% Usage: >> data = eeglab2fieldtrip( EEG, fieldbox, transform );
%
% Inputs:
% EEG - [struct] EEGLAB structure
% fieldbox - ['preprocessing'|'freqanalysis'|'timelockanalysis'|'companalysis']
% transform - ['none'|'dipfit'] transform channel locations for DIPFIT
% ... |
github | lcnhappe/happe-master | dipfit_reject.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/dipfit_reject.m | 1,823 | utf_8 | 7d157ab7d3da320a78bb851d5d3b5669 | % dipfit_reject() - remove dipole models with a poor fit
%
% Usage:
% >> dipout = dipfit_reject( model, reject )
%
% Inputs:
% model struct array with a dipole model for each component
%
% Outputs:
% dipout struct array with a dipole model for each component
%
% Author: Robert Oostenveld, SMI/FCDC, Nijmegen 2003
... |
github | lcnhappe/happe-master | pop_dipplot.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/pop_dipplot.m | 8,649 | utf_8 | f0e67d40c3bd34a95443673ebb76b95b | % pop_dipplot() - plot dipoles.
%
% Usage:
% >> pop_dipplot( EEG ); % pop up interactive window
% >> pop_dipplot( EEG, comps, 'key1', 'val1', 'key2', 'val2', ...);
%
% Graphic interface:
% "Components" - [edit box] enter component number to plot. By
% all the localized components are plotted. Comma... |
github | lcnhappe/happe-master | dipplot.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/dipplot.m | 61,455 | utf_8 | 1bc351e760494d6b9df714acf3a089ed | % dipplot() - Visualize EEG equivalent-dipole locations and orientations
% in the MNI average MRI head or in the BESA spherical head model.
% Usage:
% >> dipplot( sources, 'key', 'val', ...);
% >> [sources X Y Z XE YE ZE] = dipplot( sources, 'key', 'val', ...);
%
% Inputs:
% sources - structure a... |
github | lcnhappe/happe-master | fieldtripchan2eeglab.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/fieldtripchan2eeglab.m | 1,612 | utf_8 | 0328813bbaaba65a3bcfde10ecb26e8b | % fieldtripchan2eeglab() - convert Fieldtrip channel location structure
% to EEGLAB channel location structure
%
% Usage:
% >> chanlocs = fieldtripchan2eeglab( fieldlocs );
%
% Inputs:
% fieldlocs - Fieldtrip channel structure. See help readlocs()
%
% Outputs:
% chanlocs - EEGLAB channel... |
github | lcnhappe/happe-master | sph2spm.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/sph2spm.m | 3,331 | utf_8 | 67c8de53ef88fdbaa69eea504e17997b | % sph2spm() - compute homogenous transformation matrix from
% BESA spherical coordinates to SPM 3-D coordinate
%
% Usage:
% >> trans = sph2spm;
%
% Outputs:
% trans - homogenous transformation matrix
%
% Note: head radius for spherical model is assumed to be 85 mm.
%
% Author: Robert Oostenveld, SMI/FC... |
github | lcnhappe/happe-master | homogenous2traditional.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/homogenous2traditional.m | 5,576 | utf_8 | 1cd0a7b795501f24b35360ecec62e420 | function f = homogenous2traditional(H)
% HOMOGENOUS2TRADITIONAL estimates the traditional translation, rotation
% and scaling parameters from a homogenous transformation matrix. It will
% give an error if the homogenous matrix also describes a perspective
% transformation.
%
% Use as
% f = homogenous2traditional(H)
... |
github | lcnhappe/happe-master | electroderealign.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/electroderealign.m | 26,943 | utf_8 | c09b21089e582b6d28a1fc065011b317 | function [norm] = electroderealign(cfg);
% ELECTRODEREALIGN rotates and translates electrode positions to
% template electrode positions or towards the head surface. It can
% either perform a rigid body transformation, in which only the
% coordinate system is changed, or it can apply additional deformations
% to the i... |
github | lcnhappe/happe-master | pop_dipfit_nonlinear.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/pop_dipfit_nonlinear.m | 19,264 | utf_8 | 38b5b9d5f0129b1a4aaf3230c2578eac | % pop_dipfit_nonlinear() - interactively do dipole fit of selected ICA components
%
% Usage:
% >> EEGOUT = pop_dipfit_nonlinear( EEGIN )
%
% Inputs:
% EEGIN input dataset
%
% Outputs:
% EEGOUT output dataset
%
% Author: Robert Oostenveld, SMI/FCDC, Nijmegen 2003
% Arnaud Delorme, SCCN, La Jolla... |
github | lcnhappe/happe-master | dipfit_1_to_2.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/dipfit_1_to_2.m | 2,252 | utf_8 | 1a1a49c9adb0d94ff59b4a2206a3f2f4 | % dipfit_1_to_2() - convert dipfit 1 structure to dipfit 2 structure.
%
% Usage:
% >> EEG.dipfit = dipfit_1_to_2(EEG.dipfit);
%
% Note:
% For non-standard BESA models (where the radii or the conductances
% have been modified, users must create a new model in Dipfit2 from
% the default BESA model.
%
% Author: Arnaud D... |
github | lcnhappe/happe-master | dipfit_gridsearch.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/dipfit_gridsearch.m | 4,519 | utf_8 | cc77806c9d0a7de350e540a72dc1c033 | % dipfit_gridsearch() - do initial batch-like dipole scan and fit to all
% data components and return a dipole model with a
% single dipole for each component.
%
% Usage:
% >> EEGOUT = dipfit_gridsearch( EEGIN, varargin)
%
% Inputs:
% ...
%
% Optional inputs:
% 'com... |
github | lcnhappe/happe-master | eegplugin_dipfit.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/eegplugin_dipfit.m | 4,444 | utf_8 | 2bcef6898d8184014480e6ed4f2e170b | % eegplugin_dipfit() - DIPFIT plugin version 2.0 for EEGLAB menu.
% DIPFIT is the dipole fitting Matlab Toolbox of
% Robert Oostenveld (in collaboration with A. Delorme).
%
% Usage:
% >> eegplugin_dipfit(fig, trystrs, catchstrs);
%
% Inputs:
% fig - [integer] eegla... |
github | lcnhappe/happe-master | pop_multifit.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/pop_multifit.m | 10,370 | utf_8 | dd98129d0df98fcdfc6532ff87983696 | % pop_multifit() - fit multiple component dipoles using DIPFIT
%
% Usage:
% >> EEG = pop_multifit(EEG); % pop-up graphical interface
% >> EEG = pop_multifit(EEG, comps, 'key', 'val', ...);
%
% Inputs:
% EEG - input EEGLAB dataset.
% comps - indices component to fit. Empty is all components.
%... |
github | lcnhappe/happe-master | pop_dipfit_gridsearch.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/pop_dipfit_gridsearch.m | 4,833 | utf_8 | 39566131e1f04827a5eaf4dd7994f07f | % pop_dipfit_gridsearch() - scan all ICA components with a single dipole
% on a regular grid spanning the whole brain. Any dipoles that explains
% a component with a too large relative residual variance is removed.
%
% Usage:
% >> EEGOUT = pop_dipfit_gridsearch( EEGIN ); % pop up interactive window
% >> EEGO... |
github | lcnhappe/happe-master | dipfit_erpeeg.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/dipfit_erpeeg.m | 3,634 | utf_8 | c387b5b84e9f4ee03b832f289837c1a2 | % dipfit_erpeeg - fit multiple component dipoles using DIPFIT
%
% Usage:
% >> [ dipole model EEG] = dipfit_erpeeg(data, chanlocs, 'key', 'val', ...);
%
% Inputs:
% data - input data [channel x point]. One dipole per point is
% returned.
% chanlocs - channel location structure (returned by ... |
github | lcnhappe/happe-master | pop_dipfit_batch.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/pop_dipfit_batch.m | 2,342 | utf_8 | 349fbd140a3ba8c11fce24b8db9fa20c | % pop_dipfit_batch() - interactively do batch scan of all ICA components
% with a single dipole
% Function deprecated. Use pop_dipfit_gridsearch()
% instead
%
% Usage:
% >> OUTEEG = pop_dipfit_batch( INEEG ); % pop up interactive window
% >> OUTEEG = pop... |
github | lcnhappe/happe-master | dipfit_nonlinear.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/dipfit_nonlinear.m | 4,979 | utf_8 | 74c08245e5fcd0c004b5c7b3357238cf | % dipfit_nonlinear() - perform nonlinear dipole fit on one of the components
% to improve the initial dipole model. Only selected dipoles
% will be fitted.
%
% Usage:
% >> EEGOUT = dipfit_nonlinear( EEGIN, optarg)
%
% Inputs:
% ...
%
% Optional inputs are specified in key/value ... |
github | lcnhappe/happe-master | adjustcylinder2.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/adjustcylinder2.m | 2,197 | utf_8 | 34ff5cb12c3fc11a2456e7d82aedd980 | % adjustcylinder() - Adjust 3d object coordinates to match a pair of points
%
% Usage:
% >> [x y z] = adjustcylinder( x, y, z, pos1, pos2);
%
% Inputs:
% x,y,z - 3-D point coordinates
% pos1 - position of first point [x y z]
% pos2 - position of second point [x y z]
%
% Outputs:
% x,y,z - up... |
github | lcnhappe/happe-master | pop_dipfit_settings.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/dipfit2.3/pop_dipfit_settings.m | 20,001 | utf_8 | 7ef22305183621c09beb2691d0250fd9 | % pop_dipfit_settings() - select global settings for dipole fitting through a pop up window
%
% Usage:
% >> OUTEEG = pop_dipfit_settings ( INEEG ); % pop up window
% >> OUTEEG = pop_dipfit_settings ( INEEG, 'key1', 'val1', 'key2', 'val2' ... )
%
% Inputs:
% INEEG input dataset
%
% Optional inputs:
% 'hdmfile' ... |
github | lcnhappe/happe-master | eegplugin_cleanline.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/eegplugin_cleanline.m | 2,154 | utf_8 | 00012f272d3f6c21e4885de250f6e0ef | % eegplugin_cleanline() - EEGLAB plugin for removing line noise
%
% Usage:
% >> eegplugin_cleanline(fig, trystrs, catchstrs);
%
% Inputs:
% fig - [integer] EEGLAB figure
% trystrs - [struct] "try" strings for menu callbacks.
% catchstrs - [struct] "catch" strings for menu callbacks.
%
% Notes:
% T... |
github | lcnhappe/happe-master | cleanline.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/cleanline.m | 27,439 | utf_8 | db2d5fa2e56fb92bf9e5165018650537 | function [EEG, Sorig, Sclean, f, amps, freqs, g] = cleanline(varargin)
% Mandatory Information
% --------------------------------------------------------------------------------------------------
% EEG EEGLAB data structure
% ---------------------------------------------------------------... |
github | lcnhappe/happe-master | para_dataflow.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/para_dataflow.m | 15,079 | utf_8 | bdf197e6b019efdde172f215e4e5933b | function result = para_dataflow(varargin)
% Generic Signal Processing -> Feature Extraction -> Machine Learning BCI framework.
% Result = para_dataflow(FilterSetup, FeatureExtractionArguments, FeatureExtractionSetup, MachineLearningSetup, DialogSetup, ForwardedParameters...)
%
% Most BCI paradigms are implemented as a ... |
github | lcnhappe/happe-master | env_showmenu.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/environment/env_showmenu.m | 16,401 | utf_8 | e922dbf8b0926a434e2012cc7cf148ee | function env_showmenu(varargin)
% Links the BCILAB menu into another menu, or creates a new root menu if necessary.
% env_showmenu(Options...)
%
% In:
% Options... : optional name-value pairs; names are:
% 'parent': parent menu to link into
%
% 'shortcuts': whether to enable keyboard s... |
github | lcnhappe/happe-master | env_startup.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/environment/env_startup.m | 21,807 | utf_8 | 100127e2a96b4156d68b8af7fec6c1ef | function env_startup(varargin)
% Start the BCILAB toolbox, i.e. set up global data structures and load dependency toolboxes.
% env_startup(Options...)
%
% Does all steps necessary for loading the toolbox -- the functions bcilab.m and eegplugin_bcilab.m
% are wrappers around this function which provide a higher level o... |
github | lcnhappe/happe-master | strsetmatch.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/strsetmatch.m | 928 | utf_8 | 73f5541ad337bbbc7179cf71004b7062 | % Indicator of which elements of a universal set are in a particular set.
%
% Input arguments:
% strset:
% the particular set as a cell array of strings
% struniversal:
% the universal set as a cell array of strings, all elements in the
% particular set are expected to be in the universal set
%
% Output argume... |
github | lcnhappe/happe-master | helptext.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/helptext.m | 1,593 | utf_8 | bd49205fc50aeae5a909c8b58a47be6d | % Help text associated with a function, class, property or method.
% Spaces are removed as necessary.
%
% See also: helpdialog
% Copyright 2008-2010 Levente Hunyadi
function text = helptext(obj)
if ischar(obj)
text = gethelptext(obj);
else
text = gethelptext(class(obj));
end
text = texttrim(text);
function t... |
github | lcnhappe/happe-master | javaclass.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/javaclass.m | 3,635 | utf_8 | 7165e1fd27bd4f5898132023dc04662b | % Return java.lang.Class instance for MatLab type.
%
% Input arguments:
% mtype:
% the MatLab name of the type for which to return the java.lang.Class
% instance
% ndims:
% the number of dimensions of the MatLab data type
%
% See also: class
% Copyright 2009-2010 Levente Hunyadi
function jclass = javaclass(mt... |
github | lcnhappe/happe-master | helpdialog.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/helpdialog.m | 3,397 | utf_8 | f16f23c1b608a247bc5298f5ebc6d321 | % Displays a dialog to give help information on an object.
%
% Examples:
% helpdialog char
% gives information of character arrays
% helpdialog plot
% gives help on the plot command
% helpdialog(obj)
% gives help on the MatLab object obj
%
% See also: helptext, msgbox
% Copyright 2008-2010 Levente Hunyadi
fun... |
github | lcnhappe/happe-master | getdependentproperties.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/getdependentproperties.m | 907 | utf_8 | 5f87bb7115d9bcacd8556d89a4492c44 | % Publicly accessible dependent properties of an object.
%
% See also: meta.property
% Copyright 2010 Levente Hunyadi
function dependent = getdependentproperties(obj)
dependent = {};
if isstruct(obj) % structures have no dependent properties
return;
end
try
clazz = metaclass(obj);
catch %#ok<CTCH>
retur... |
github | lcnhappe/happe-master | example_matrixeditor.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/example_matrixeditor.m | 471 | utf_8 | 637b619421d215e7270f8502574e4ff7 | % Demonstrates how to use the matrix editor.
%
% See also: MatrixEditor
% Copyright 2010 Levente Hunyadi
function example_matrixeditor
fig = figure( ...
'MenuBar', 'none', ...
'Name', 'Matrix editor demo - Copyright 2010 Levente Hunyadi', ...
'NumberTitle', 'off', ...
'Toolbar', 'none');
editor = Matr... |
github | lcnhappe/happe-master | example_propertyeditor.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/example_propertyeditor.m | 473 | utf_8 | 49faa2989b2f9c32c26f366e77eaf0b2 | % Demonstrates how to use the property editor.
%
% See also: PropertyEditor
% Copyright 2010 Levente Hunyadi
function example_propertyeditor
% create figure
f = figure( ...
'MenuBar', 'none', ...
'Name', 'Property editor demo - Copyright 2010 Levente Hunyadi', ...
'NumberTitle', 'off', ...
'Toolbar', ... |
github | lcnhappe/happe-master | nestedfetch.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/nestedfetch.m | 1,000 | utf_8 | 1f3b58597c8ee6879bc2650defb0799d | % Fetches the value of the named property of an object or structure.
% This function can deal with nested properties.
%
% Input arguments:
% obj:
% the handle or value object the value should be assigned to
% name:
% a property name with dot (.) separating property names at
% different hierarchy levels
% value... |
github | lcnhappe/happe-master | findobjuser.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/findobjuser.m | 1,391 | utf_8 | 3275be54ee6c453c85fd950bb6ac56b5 | % Find handle graphics object with user data check.
% Retrieves those handle graphics objects (HGOs) that have the specified
% Tag property and whose UserData property satisfies the given predicate.
%
% Input arguments:
% fcn:
% a predicate (a function that returns a logical value) to test against
% the HGO's Use... |
github | lcnhappe/happe-master | javaStringArray.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/javaStringArray.m | 628 | utf_8 | fe0389e3b0d1933d49c1a78c416a279c | % Converts a MatLab cell array of strings into a java.lang.String array.
%
% Input arguments:
% str:
% a cell array of strings (i.e. a cell array of char row vectors)
%
% Output arguments:
% arr:
% a java.lang.String array instance (i.e. java.lang.String[])
%
% See also: javaArray
% Copyright 2009-2010 Levente H... |
github | lcnhappe/happe-master | var2str.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/var2str.m | 441 | utf_8 | 5588acb0d18dcfac8183caf10a3b5675 | % Textual representation of any MatLab value.
% Copyright 2009 Levente Hunyadi
function s = var2str(value)
if islogical(value) || isnumeric(value)
s = num2str(value);
elseif ischar(value) && isvector(value)
s = reshape(value, 1, numel(value));
elseif isjava(value)
s = char(value); % calls java.lang.Objec... |
github | lcnhappe/happe-master | getclassfield.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/tmullen-cleanline-696a7181b7d0/external/bcilab_partial/dependencies/PropertyGrid-2010-09-16-mod/getclassfield.m | 376 | utf_8 | e3b87866af8da4dd40243e750a7e53f6 | % Field value of each object in an array or cell array.
%
% See also: getfield
% Copyright 2010 Levente Hunyadi
function values = getclassfield(objects, field)
values = cell(size(objects));
if iscell(objects)
for k = 1 : numel(values)
values{k} = objects{k}.(field);
end
else
for k = 1 : numel(valu... |
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