sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 17k | content stringlengths 1 200k |
|---|---|---|---|---|
db26769df4a983883f30b447311cc0ad366e496a072adc747dc9ae11aa8a9b83 | MATLAB | 1,303 | 27 | function [all_valid_reaction_times, all_reaction_times, all_hit_reaction_times] = tc_get_reaction_times(parameters)
%% all_valid_reaction_times = tc_get_reaction_times(parameters)
[...
~, ...
all_trigger_values_vec, ...
all_reaction_times,...
sampling_rate] = tc_get_event_times_from_eeg(...
paramete... |
8772754539b0797853b4c6869bfc4f8c2d2cdfd323fa783649c7477af5b5d235 | MATLAB | 1,308 | 26 | function points = genArcSegment(origin, angles, radius, n)
%GENARCSEGMENT Generate n points on an arc segment of a given radius
% from angle A to angle B around the given origin point
% origin: x and y coordinates point the arc is centered around (the
% center of the circle the arc is a segment ... |
7cde94ebaad0448ab7dde6179f569dda7ba8e3aeaa42bdaa6e01c82a5a386fde | MATLAB | 1,312 | 41 | % CURRY 8 M-file, Platform: PCWIN, Created on: 3/2/2018 5:20:36 PM
%
% curryloc contains mesh locations
% currytri contains triangle vertex indices
% currylfd(1:3,:) contains leadfield locations
% currylfd(4:6,:) contains leadfield orientations
% currylfd(7:end,:) contains leadfield
%
% load mat file
load ('LFD_Fxd_Ver... |
bd9f2beacbf9c9728e9da1a53ffb410ae9d8c9a0a5ca12adaaa55b6f6eb4aa02 | MATLAB | 1,312 | 41 | % CURRY 8 M-file, Platform: PCWIN, Created on: 3/2/2018 5:20:24 PM
%
% curryloc contains mesh locations
% currytri contains triangle vertex indices
% currylfd(1:3,:) contains leadfield locations
% currylfd(4:6,:) contains leadfield orientations
% currylfd(7:end,:) contains leadfield
%
% load mat file
load ('LFD_Rot_Ver... |
8795c1a809fb857b449c97dcbfec794963930904f367145a7b1a248afe64b9a8 | MATLAB | 1,318 | 31 | clear
data_cube = nan(2,2048,100); % initiate empty 3D matrix
for j = 1:100
% Set the pseudo-EEG signal
data_cube(1,:,j) = [zeros(1,1024) linspace(0,-4,1024)]; % set the exact same pseudo-RP for all trials
% Set the phase signal per trial
% At each if-statement the last item added inside the circshif... |
cfc61d6a037a3d592af10e8f610bedcf4c60ec19a5421420b75439d1d5fb57a4 | MATLAB | 1,318 | 33 | function data_load = spt_simulate_confined_brownian_motion()
input_values = inputdlg({'number of particles:','time step:','number of time steps:','diffusion coefficient: (um^2/s)','size:','trap diameter (um)'},'',1,{'100','0.05','200','0.001','5','0.05'});
if isempty(input_values)==1
data_load = [];
else
n... |
8cbf4beba36c3fce555d676cf72af8fcc0b2719e97277d6af3c95a3bd6e14148 | MATLAB | 1,321 | 50 | function [ Dofl ] = extracting_data_LBPD_D( listfl )
% Extracts data from each subject (SPM objects) and store it (with a
% corresponding label) in a single file.
% The SPM object should be a 2D or 3D data (channels x time-points x
% trials).
% This function is thought to be used before preparing_baseline_from_resting... |
57118f345b4c5ea20c249fc1825322db422851397ad85e17da643da562e9d84e | MATLAB | 1,322 | 32 | function Show_GC_coef_subfun(R,P3,NROI,colormapshow,enhanind,outdir,outname,width1,width2)
Hsize = get(0,'ScreenSize');
Bsize = min(Hsize(3),Hsize(4))*0.9;
Bsize2 = Bsize;
POSm1 = [20,20,Bsize2,Bsize2];
Hm1 = figure('pos',POSm1);
R(isnan(R)) = 0;
R(isinf(R)) = 0;
maxv = max(abs(R(:)));
axHm1_1 = axes('parent',... |
86e68a01b0648224241b7c1284a5ce3c0e61bf8ffdba55ade376be0d7c78cb49 | MATLAB | 1,333 | 25 | function [data_above,data_below] = loc_list_voronoi_seperate_based_on_percentile(data)
answer = inputdlg({'Voronoi Area Percentile Value (%):'},'Input',[1 50],{'40'});
if isempty(answer)~=1
percentile = str2double(answer{1});
for i = 1:length(data)
threshold_val = prctile(data{i}.vor.vorono... |
c01c96f81fb8ef481f22a1c513d29fe52d7e6b6d61f1cf2dbe1ddb58627838f3 | MATLAB | 1,339 | 45 | function [v,data,namelist] = Dynamic_read_dir_NIFTI(sub_dir,filter_str)
if nargin==1
filter_str = '';
end
flag = 0;
[fpath,name,ext] = fileparts(sub_dir);
if strcmp(ext,'.nii')||strcmp(ext,'.img')||strcmp(ext,'.hdr')
if strcmp(ext,'.hdr')
niiname.name = [name,'.img'];
else
niiname.... |
04fa9beea26ee806aa0b6f1b4939c0cdd1df8103edd9891344ca08d746b43fd3 | MATLAB | 1,340 | 44 | function surf = SurfStatAvSurf( filenames, fun );
%Average, minimum or maximum of surfaces.
%
% Usage: surf = SurfStatAvSurf( filenames [, fun] );
%
% filenames = n x k cell array of names of files.
% fun = function handle to apply to two surfaces, e.g.
% = @plus (default) will give the averag... |
6a16eae64490b6016f0dcdd48509cca7d127c1fe992e95bc287a058848c3473c | MATLAB | 1,341 | 49 | function [CIJ,K] = makefractalCIJ(mx_lvl,E,sz_cl)
%MAKEFRACTALCIJ Synthetic hierarchical modular network
%
% [CIJ,K] = makefractalCIJ(mx_lvl,E,sz_cl);
%
% This function generates a directed network with a hierarchical modular
% organization. All modules are fully connected and connection density
% decays ... |
5e0ccde4048f1f6195d36c9d001eb446290bb2c9e199f1f1506033e212808fe4 | MATLAB | 1,342 | 39 | function fig = createFigure(w, h)
%CREATEFIGURE Create and return a figure, with appropriate title,
%toolbar, etc. settings.
% w: width in pixels
% h: height in pixels
fig = figure('Color', 'w', 'Resize', 'off', 'Name', 'NLA Figure', 'NumberTitle','off');
%fig.Icon = [findRootPath() 'th... |
6d0784d17370a1a5f94c0bb706f8240807d8e1c0c259f611d19504d08de18126 | MATLAB | 1,345 | 50 | function [t,p]=emart2(I,NI, m1, s1, m2, s2, m0, s0)
w0=0.001;
w1=0.6;
w2=0.399;
N=sum(NI);
%disp([m1, s1, m2, s2, m0, s0, w0, w1, w2]);
iter=0;
while iter<80,
p0=exp(-1/2*((I-m0)/s0).^2)/sqrt(2*pi*s0^2);
p1=exp(-1/2*((I-m1)/s1).^2)/sqrt(2*pi*s1^2);
p2=exp(-1/2*((I-m2)/s2).^2)/sqrt(2*pi*s2^2);
p0o... |
7e8e3c12b37c889d1424dec7179b18efe5ac3359993d484efbcd931542dbfb5b | MATLAB | 1,349 | 46 | track(:,1) = [3,9];
track(:,2) = [10,50];
image = zeros(50,50);
track_intp = interpolate_track_inside(track);
track_intp = unique(track_intp,'rows');
tracks_image = zeros(size(image,1),size(image,2));
for i = 1:size(track_intp,1)
tracks_image(track_intp(i,2),track_intp(i,1)) = 255;
end
figure()
x = 0:... |
27951090c5498e58ed8ffa848251b22f5006829b01fdfc810ea35d416124da43 | MATLAB | 1,352 | 46 | %%%% EXTERNAL FUNCTION
% function taken from the LiNGAM package
% complete software may be downloaded from http://www.cs.helsinki.fi/group/neuroinf/lingam/
function [Bopt,optperm] = sltprune( B )
% Finds an identical row and column permutation so that the permuted
% B is approximately strictly lower triangul... |
b2de630f87b95b11410525203f8b1b8ba8969eeb6b47916e73b99909c53966c1 | MATLAB | 1,359 | 44 | function filepath = getPathToFileContainingString(folderPath, searchStr, extension, omit)
% Author: Milena Capiglioni
% Check if an extension is provided
if nargin < 3
extension = ''; % Default to empty string if not provided
end
if nargin < 4
omit = '';
end
% List all fi... |
955f36883539aa9ab2aaaf0f1f575386e4dd52405cdbf18abdab24c33f57aff4 | MATLAB | 1,368 | 42 | %% Make results files for all subjects
if ~exist('mainpath','var')
clearvars
% current working directory needs to be /path/to/scripts
mainpath = pwd;
else
clearvars -except mainpath
end
addpath([mainpath filesep 'toolboxes' filesep 'fieldtrip'])
addpath([mainpath filesep 'toolboxes' filesep 'tc_functio... |
e260469d32fd6cc4d807a0aeb5d982f14d67bd12a4c560a269829484aaacf677 | MATLAB | 1,371 | 39 | function loc_list_clusters_scatter_no_of_locs_area(data)
counter = 0;
for i = 1:length(data)
data_to = unique(data{i}.area);
if length(data_to)>1
counter = counter+1;
data_to_send{counter} = data{i};
end
end
if exist('data_to_send','var')
scatter_locs_area(data_to_send)
el... |
6b9d7ec11a238a264250dfef53c6c54f0a248f53728b288ac0f5c70c48ecae83 | MATLAB | 1,372 | 50 | %% IDENTIFICATION OF STRICTLY CAUSAL MVAR MODEL: Y(n)=A(1)Y(n-1)+...+A(p)Y(n-p)+U(n)
% makes use of autocovariance method (vector least squares)
%%% input:
% Y, M*N matrix of time series (each time series is in a row)
% p, model order
% Mode, determines estimation algorithm (0:builtin least squares, else other m... |
555d50fa3871875948e64e3b59d13365800fdaad9999676be1cbae19fa82dacd | MATLAB | 1,381 | 33 | function s_counts = getGeneCounts(s_sam_file, genes, chrs)
% Return a cell array of vectors containing the read counts.
% s_sam_file - Sorted SAM file name
% genes - DataMatrix object containing these columns in such order:
% gene names or ids,
% chromosome name,
% gene ... |
98da523799f5e2c6b76c2ae728ab0828a7d33001e5f774bedd4b866837029661 | MATLAB | 1,381 | 48 | % Expand a multiple-scan NIFTI file into multiple single-scan NIFTI files
%
% Usage: expand_nii_scan(multi_scan_filename, [img_idx], [path_to_save])
%
% NIFTI data format can be found on: http://nifti.nimh.nih.gov
%
% - Jimmy Shen (jimmy@rotman-baycrest.on.ca)
%
function expand_nii_scan(filename, img_idx, n... |
e32019c0db95ebf1f68ba056302a124023bc57b1b0c1d4d794147673131ada60 | MATLAB | 1,381 | 33 | function [cellMap,nROI] = cellDetectFun(tiffData,minSiz,Tbin)
% This function takes a TIF stack in input and detects the active ROIs
% (such as astrocytes or neurons) present over the entire recording.
% ----------------------------------------------------------------------- %
% *** Inputs ***
% * tiffData * = TIF file... |
a34513d4e334cdd2e085c69f7a06743151256e942a4e5a5d57d03a8064b72a09 | MATLAB | 1,382 | 52 | %% generation of vector FT surrogates (phase randomization)
% Note: the length of the series should be not be odd
%%% input:
% Y, M*N matrix of time series (each time series is in a row)
%%% output:
% Ys, M*N matrix of surrogate time series (each time series is in a row)
function Ys=surrVFT(Y)
Y=Y'; %tra... |
a861136aa9f3ccd46533aba507bbc0ab829e85f1c699a00011630200e3e46098 | MATLAB | 1,383 | 58 | function imagesc_all_units=Ripple_Colorplot(Ripple_Variable, Treatment, bins)
if strcmp(Treatment,'RGS')
a=2;
b=3;
else
a=4;
b=6;
end
imagesc_all_units=[];
numbin=bins;
% start loop here
for index=1:length(Ripple_Variable)
disp(index)
Unit=Ripple_Variable(index).Ripple_Spike_Tim... |
9b07c2ef657409642d2eed06a0c79db3f144f41e0e135cb87d68bb24562f9f7f | MATLAB | 1,385 | 38 | function loc_list_save_bin(data)
path = uigetdir(pwd);
if path~=0
for i = 1:length(data)
f = waitbar(0,['Saving .bin File',num2str(i),'/',num2str(length(data))]);
save_to = fullfile(path,[data{i}.name,num2str(i),'.bin']);
data_save(:,1) = data{i}.x_data; %x
data_save(:,2) ... |
f4f43652d980807fca77014f3d745ad1dd0fa1aadb1a9ab9e125c5c19a0385cb | MATLAB | 1,386 | 33 | function plotNetTriMatrix(fig_h, net_atlas, plot_data, sig_matrix, plot_settings)
% color_map: [1001×3 double]
% statistic_plot_matrix: [1×1 nla.TriMatrix]
% p_value_plot_max: 0.0500
% name_label: "Welch's T-test Full Connectome Method↵Network vs. Connectome Significance↵Unco... |
71e8ca2cc22afece1029f9e56ecd1808003090ca9d588a4d004224c9f8460975 | MATLAB | 1,389 | 40 | %% run time figure
loglog([1 10 100 1000 10000 100000],[64/60 104/60 129/60 141/60 8 111],'b-o')
hold on
loglog([1 10 100 1000 10000 100000],[90.8/60 102.4/60 103.8/60 138.7/60 48 144],'r-o') % waiting for original results
title('COMET: Running Time')
xlabel('# Spectra');
ylabel('# Minutes');
legend('Classic',... |
a149af6b6471c0fe84fca1d45488118693553403b2be9bfdeeccc6aa6f1af27e | MATLAB | 1,389 | 37 | %% read
pep=xlsread('L:\Qexactive\Ani\PepMixWJPT.xlsx');
prot=xlsread('L:\Tony\121116_CSR_SILAC_Qexactive\SILACproteinGroupsQE.xlsx');
lfq=pep(:,[16:20]);
ibaq=pep(:,[21:40]);
int=pep(:,[1:4]);
%% protein abundance
hist((prot(prot(:,33)>0,33)),[100]) % raw intensities, area under curve?
hist(log2(prot(prot(:... |
02c6bd5ba4fe9ba1cfac49cefc50fbd0dae21fa32c9de46369eea4cdac375e65 | MATLAB | 1,391 | 37 | function viewSilhouetteCoeff(fig, input_struct, remove_index)
prog = uiprogressdlg(fig, 'Title', 'Generating figures', 'Message', 'Calculating silhouette coefficient');
prog.Value = 0.02;
%% Remove selected network (usually, the 'None'/unspecified network)
plot_label = 'FC Average (Fisher Z(R)... |
500df8e6ca8f50c5b64a7a488e8fb19d0114dec6c5a13b89598bbd2c7657ca05 | MATLAB | 1,397 | 48 | function [info, data]=read4dfp(filename)
%
% Program to read 4dfp format data.
%
% Yi Su, Jan 2011
%Processing filename
[path,name1,ext1]=fileparts(filename);
[dum,name2,ext2]=fileparts(name1);
if (isempty(ext1))
name=[name1 '.4dfp.img'];
nameroot=name1;
elseif (isempty(ext2)&&strcmp(ext1,'.4dfp'))
nam... |
98cad35962f680d91dc0ec3fee9060268a2bc971ffbc247a71a4408ddabe995e | MATLAB | 1,397 | 53 | classdef ArFitTest < matlab.unittest.TestCase
properties
sigma
N
end
methods(TestMethodSetup)
function setup(testCase)
testCase.sigma = sqrt(0.2);
testCase.N = 1024;
end
end
methods(Test)
functi... |
58c8582a1a93ffd0d4ca9f939034abbfadf8a42031cb467d98b98425bc607089 | MATLAB | 1,402 | 52 | function varargout = process_memo( varargin )
eval(macro_method);
end
function sProcess = GetDescription() %#ok<DEFNU>
sProcess.options.text.Comment = 'Text: ';
sProcess.options.text.Type = 'text';
sProcess.options.text.Value = 'the text';
sProcess.options.flag.Comment = 'Check box';
sProcess.options.flag.Type... |
cb29f67d089eb96ddc0a87de182febabe303156c4972d018543826338e6af783 | MATLAB | 1,402 | 41 | %
% perform a quick sanity check
%
uint64(4) + uint64(2)
uint64(4) - uint64(2)
uint64(4) ./ uint64(2)
uint64(4) .* uint64(2)
%% read
prot=xlsread('L:\Elite\LARS\2014\juni\Pseudomonas\PesudoSproteinGroups.xls');
prot=prot(:,5:8);
%% check
plot(prot)
histfit(prot(~isnan(prot)))
data=dataset('XLSFile','L:\Results\I... |
abcfaa000dad97956a967b815145406d1445920e4e700a38e5fb1e2734977bfc | MATLAB | 1,403 | 38 | function v=dynamicBC_Reslice_forshow(PI,hld,TargetSpace)
% PI - input filename
% PO - output filename
% NewVoxSize - 1x3 matrix of new vox size.
% hld - interpolation method. 0: Nearest Neighbour. 1: Trilinear.
% TargetSpace - Define the target space. 'ImageItself': defined by the image itself (correspon... |
16536ce0c2accd2fcba0181e4a9bc1301ac307f2936bd77de34a6c674a1a5ec1 | MATLAB | 1,404 | 45 | function [Erange,eta,Eshort,fs] = erange(CIJ)
%ERANGE Shortcuts
%
% [Erange,eta,Eshort,fs] = erange(CIJ);
%
% Shorcuts are central edges which significantly reduce the
% characteristic path length in the network.
%
% Input: CIJ, binary directed connection matrix
%
% Outputs: Erange, ra... |
13072b3b03d1bf261cd26ee722828324be9d6a1fb2335e19d14b2c8db7fda124 | MATLAB | 1,417 | 48 | function shape_classification_save_results_selected_clusters(data)
classes = data.classes;
for i = 1:size(classes,1)
colors{i} = unique(cell2mat(classes{i,4}));
end
colors = unique(vertcat(colors{:}));
c_map = colormap(jet);
c_map = interp1(1:256,c_map,linspace(1,256,max(colors)));
path = uigetdir();
... |
3b367a69be7659e43058dc5f4693f7cd78b4fd488db51ed3b6e7f6a7b42f3f52 | MATLAB | 1,422 | 43 | function MCmoduleStream = Pick_MCModuleStream(dFCstream, Modules, m)
% FUNCTION MCmoduleStream = Pick_MCModuleStream(dFCstream, Modules, m)
%
% This function takes as input: i) dFCstream is a dFCstream object generated by
% TS2dFCstream, in either stream or 3D formats (with N regions);
% ii) a vector Modules of size N... |
dd90962cd06f949d237f2129bce11034c02ff8cd225cb9dcc4308b578efe511a | MATLAB | 1,424 | 64 | function demo_lcmv(sim,type)
path_ = pwd;
addpath(genpath(strcat(path_,'/MVAR_simu')));
addpath(genpath(strcat(path_,'/two_step_est')));
addpath(genpath(strcat(path_,'/misc')))
meas_snr=5;
bio_snr_vals=[1 3 5 10];
bio_snr_arr=repmat(bio_snr_vals, [50 1]);
T=5000;
num_bio_ns=1000;
num_sources = 3;
dist_thr = 30;
%loa... |
f78464e5b11eca026e734a26f8c8569701328cdde0cca00f2c7d348f5cf38bc4 | MATLAB | 1,425 | 37 | function shape_classification_filter_area(data)
classes = data.classes;
input_values = inputdlg({'Area Filter Value:'},'',1,{'10'});
if isempty(input_values)~=1
min_area = str2double(input_values{1});
for i=1:size(classes,1)
for j = 1:length(classes{i})
area(j,1) = classes{i,2}(j,2);
... |
da605d3552e8ea8fe7d51d4785d906309626b2cbd9007def27995ac012bc530f | MATLAB | 1,426 | 37 | function shape_classification_filter_mass(data)
classes = data.classes;
input_values = inputdlg({'Mass Filter Value:'},'',1,{'100'});
if isempty(input_values)~=1
min_mass = str2double(input_values{1});
for i=1:size(classes,1)
for j = 1:length(classes{i})
mass(j,1) = classes{i,2}(j,1);... |
9d57e7e192efecfea24b7e7c23d2539f7c4c705fb7d27461aeab404029d7bfa6 | MATLAB | 1,428 | 59 | %% PORTMANTEAU TEST FOR AUTOCORRELATION [from Luetkepohl 2005, New introduction to multiple time series analysis]
% null hypothesis: joint whiteness
% if pp<alpha, reject -> non white
function [pp,Qh,critlo,crithi,crit1tail,C0,stringout,stringflag]=test_whiteness(u,p,h,alpha);
% %%% input: u, p, alpha, h
% u: ... |
a3000717032cc5b354e0c6a5097cc6724b983f3e929c351c27a2bad9a94f8f48 | MATLAB | 1,428 | 34 | function [si_vals] = silhouetteCoeff(fc_avg, networks)
%SILHOUETTECOEFF Calculate silhouette coefficient
% fc_avg: TriMatrix of average functional connectivity values
% networks: Vector of objects which must implement IndexGroup, ie:
% have a name, color, and a vector of indices corresponding ... |
6d2b85ed27423189ca8f7ca65a6764fc2823fe5ef29d8db28b5487936afa8038 | MATLAB | 1,430 | 65 | function [t] = fl_cell_tstat(Cell,w)
% Computes a 1-sample t-statistic using cells
%
% The variables are expressed in cells for speed
% This function is part of the permutationlab software:
% Author: Dimitrios Pantazis
% The code is currently under development, please do not share
wflag = exist('w'); %w is ... |
4a60bb42cd2e64498009db3510468e7c3755cf6966be6e9e844ba3c87783fb36 | MATLAB | 1,433 | 33 | function shape_classification_features_box_plot(data)
clf(figure())
set(gcf,'name','Features Info','NumberTitle','off','color','w','units','normalized','position',[0.1 0.2 0.4 0.6],'menubar','none','toolbar','none')
no_of_classes = size(data.classes,1);
slider_one_value = 1;
if no_of_classes>1
slider_one_st... |
06aec7dbff8cbb27b269e1cc3fa9419635771965dd8d414307137b1394d40dba | MATLAB | 1,436 | 68 | function [T, m_vol] = mipp_time_2_commonTime_v2(T, refID)
% function [T, m_vol] = mipp_time_2_commonTime(T, refID)
%
% Creates a t_shift that is the time that matches starting-time volumes.
% Set t from start
uID = unique(T.ID);
T = addvars(T, ones(size(T.Vol_cm3)),'NewVariableNames', 't_from_start');
for i = 1:numel... |
0dbad4f5f41e4644df277cdae2a76ab25b2179c1e103fe9e2b0133f88c13dcd2 | MATLAB | 1,438 | 48 | function [J,J_od,J_id,J_bl] = jdegree(CIJ)
%JDEGREE Joint degree distribution
%
% [J,J_od,J_id,J_bl] = jdegree(CIJ);
%
% This function returns a matrix in which the value of each element (u,v)
% corresponds to the number of nodes that have u outgoing connections
% and v incoming connections.
%
% Input... |
891fbc7960fb889d217e2edac5ff8ae0df755957eba7f8fe05bfbb4e35777a66 | MATLAB | 1,445 | 35 | function C=clustering_coef_bd(A)
%CLUSTERING_COEF_BD Clustering coefficient
%
% C = clustering_coef_bd(A);
%
% The clustering coefficient is the fraction of triangles around a node
% (equiv. the fraction of node's neighbors that are neighbors of each other).
%
% Input: A, binary directed c... |
11c5a0081e3af32fe4ebcf4536d7108321a931af1225f86ace6476ed02ff6c17 | MATLAB | 1,448 | 44 | function maskROI = SurfStatROI( centre, radius, surf );
%ROI on the surface or volume with a given centre and radius.
%
% Usage: ROImask = SurfStatROI( centre, radius, surf );
%
% centre = id number of vertex, or
% 3 x 1 vector of [x; y; z] coordinates in mm.
% radius = radius, mm.
%... |
2597b4fe43e49d4ede3eb5de61735382eba3bd162f707be40feb8ea559173ce2 | MATLAB | 1,452 | 36 | function []=Writeifh(filename, ifhdr)
%Processing filename
[path,name1,ext1]=fileparts(filename);
[dum,name2,ext2]=fileparts(name1);
if (isempty(ext1))
name=[name1 '.4dfp.ifh'];
elseif (isempty(ext2)||~strcmp(ext2,'.4dfp')||~strcmp(ext1,'.ifh'))
error('Invalid File');
else
name=[name2 '.4dfp.ifh'];
end
... |
2d6b0e1b0e667ccbe08df4eaec6307dc3a877d326b6f43476f03747b7f7dee63 | MATLAB | 1,454 | 48 | function [data_crop,data_outofcrop,Int] = loc_list_roi_DualChannel(data,Int)
global Int
if isempty(Int)
Int = 0;
end
try
coordinates = getline();
data_crop = cell(1,length(data));
data_outofcrop = cell(1,length(data));
for i = 1:length(data)
[data_crop{i},data_outofcrop{i}] =... |
8e18cde18824a31b7aa705c11678707b8670c8f240a1e0fdf10d74cfe59b0bff | MATLAB | 1,454 | 31 | classdef PermutationTree < handle
%PERMUTATIONTREE Base class for permutation groups. This just bundles all the permutation nodes
% together for ease.
%
% tree = PermutationTree(input_data, permutation_groups)
% tree = The tree object. Consists of the raw permutation groups along with the raw data ... |
1dec4938389b0f03a0e9e992baba9fd92b02c3ae2f41f1099d3dcfdd254514e6 | MATLAB | 1,457 | 53 |
% current working directory needs to be /path/to/scripts
mainpath= pwd;
addpath([mainpath filesep 'toolboxes' filesep 'fieldtrip'])
addpath([mainpath filesep 'toolboxes' filesep 'tc_functions'])
ft_defaults
%%
close all
for subject=1:52
%%
tfData = dataTF;
figure
%load([mainpath '/../subjectData/S' num2... |
fbb4645d0b59252d1061657a87dd786e1c0831d4cf2209909166b8e423d2ebd3 | MATLAB | 1,458 | 49 | function data_out = calcArea(data)
clusters = extract_clusters(data);
xRef = cellfun(@(x) x(:,1),clusters,'UniformOutput',false);
yRef = cellfun(@(x) x(:,2),clusters,'UniformOutput',false);
shpRef = cellfun(@(x,y) alphaShape(x,y),xRef,yRef,'UniformOutput',false);
CritAlpha = cellfun(@(x) criticalAlpha(x,'one-r... |
51ce6b5003c2eda5b4d1db803be3db7e7422ef017f75466e0598de6d1d584405 | MATLAB | 1,460 | 35 | function conn_matrices = load_group_fc(name,parcel_number,group)
% LOAD_GROUP_FC loads group level connectivity matrices.
%
% conn_matrices = LOAD_GROUP_FC(name,parcel_number,group) loads sample
% group level connectivity matrices of the HCP dataset. Name can be set
% to 'vosdewael' for a subparcellation of the... |
a4c8f6bcfbe821ab1aca2f82205b4f1003faaef30fcf8923b1425952293cf9d1 | MATLAB | 1,471 | 40 | function spm_batch = tc_make_spm_fmri_batch
%% spm_batch = tc_make_spm_fmri_batch
% creates spm_batch which is a template file for running spm_jobman()
% creat SPM batch file (note that some fields must be present in order to make SPM tun even tough they are not used here)
spm_batch = {[]};
spm_batch{1}.spm = [];
spm_... |
ffef8575ed01018ad08f7dc3f95c66a6fd9378ed0d1925597799efb8cd59e23f | MATLAB | 1,471 | 50 | function M=find_motif34(m,n)
%FIND_MOTIF34 Motif legend
%
% Motif_matrices = find_motif34(Motif_id,Motif_class);
% Motif_id = find_motif34(Motif_matrix);
%
% This function returns all motif isomorphs for a given motif id and
% class (3 or 4). The function also returns the motif id for a given
% ... |
b12ba64a36b88475e846a0aa2b3175cbd144d1cdde93a460db308a0223fbae15 | MATLAB | 1,472 | 39 | classdef BaseTest < nla.Test
%BASETEST Base class of tests performing edge-level analysis
% The intended behavior of the run function of an edge-leve test is that
% it creates a new result object on the nonpermuted run and accepts
% said result as previous_result on all subsequent permuted runs,
% m... |
480806a4bfbb812beac9b1cded624600343ad2e08e77379de5cdc1ed2d83a5ef | MATLAB | 1,476 | 48 | function shape_classification_save_results_jpg(data)
classes = data.classes;
path = uigetdir();
if path~=0
mass = classes(:,3);
mass = vertcat(mass{:});
mass = mass(:,1);
[~,I] = mink(mass,size(classes,1));
classes = classes(I,:);
for p=1:size(classes,1)
mkdir(fullfile(path,num... |
dd9cb9d15e29ce5b26a6397f45d4fa474a4e7afd90ad6211b1d37a1faeecbbb2 | MATLAB | 1,477 | 32 | function [cr,corrCurve,corThresh] = pairCrossCorr(diffToBaseAll,varList,dT)
% This function builds the correlation curve based on the pairwise Pearson
% correlation coefficient (computed by the Matlab function corr) of all the
% corrected signals in *diffToBaseAll*
% ----------------------------------------------------... |
d6b985dfa0513e5ae82d4cda44f8619d3169ec1e8d83380db0606b1cb1d1dec5 | MATLAB | 1,478 | 56 | classdef Button < nla.inputField.InputField
properties
name
display_name
callback = false
plot_figure = false
label = false
field = false
end
properties (Constant)
padding = 12
end
methods
function obj = Button(name, display_nam... |
d345db198e35ef0a8862d88b9224e0684a9f28d1936a8bcfad8e7a8bde12d2d6 | MATLAB | 1,480 | 41 | function [prop, error_list] = nst_get_tissues_optical_properties(tissues, wavelength, FilesTissuesProperty)
if nargin < 3 || isempty(FilesTissuesProperty)
FilesTissuesProperty = fullfile(fileparts(which('nst_get_tissues_optical_properties')), 'tissues_property.json');
end
% [mua, mus, g, n]... |
b6b1bbcb0945e1980bb53e0259964333d5eca9ace50ac1246f2e30b991a7b714 | MATLAB | 1,491 | 48 | function ind = SurfStatCoord2Ind( coord, surf );
%Converts a vertex index to x,y,z coordinates.
%
% Usage: coord = SurfStatInd2Coord( ind, surf );
%
% coord = c x 3 matrix of coordinates for finding indices thereof.
% surf.coord = 3 x v matrix of coordinates.
% or
% surf.lat = 3D logical array, ... |
1cd84284ce4510b79d48f3559de9b5aee9beb43fd981d80ea17bed69d38268ed | MATLAB | 1,493 | 54 | clear all
clc
%% NEW GSH FILE TESTER
[fname,pathname]=uigetfile('*.gsh')
filename=[pathname,fname]
fid=fopen(filename,'r','b')
fstr=fread(fid,'int8=>char'); %string of chars held in .rsh file
fstr=fstr';
fclose(fid);
fstr;
%% get info from header file
k = strfind(fstr,'Data Size =')
xs=str2num(fstr(... |
861bd24af3bf1c7bb925b08dd0380a44847c7f41759ed31e1031ee12d71464a3 | MATLAB | 1,494 | 55 | function [pdc_delta, pdc_theta, pdc_alpha, pdc_beta, PDC,f] = get_significant_pdc_mr(x,Am,S, numsurr, nfft, fc, Ns, p)
%function [pdc_mean, PDC,f] = get_significant_pdc_mr(x,Am,S, numsurr, nfft, fc, Ns, p)
%generate surrogates
for is=1:numsurr
% surrogates for DC and PDC
for ii=1:Ns
for jj=1:Ns
... |
a0b04b7d98a13f49aebeb855a61ec64178830ed67aef9637d2ca2b44a69070ec | MATLAB | 1,495 | 48 | function [ ] = LBPD_startup_D( pathl )
%It adds some required paths and startup OSL..
% INPUT: -pathl: path to functions (character)
%
% OUTPUT: -starting up..
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% leonardo.bonetti@clin.au.dk
% Leonardo Bonetti, Aarhus, ... |
621dc5761e93c384d49b862cf40b6f8734dd81986196a676277be8e809f936a5 | MATLAB | 1,498 | 36 | function loc_list_voronoi_clusters_boundary_points_plot(data)
figure()
set(gcf,'name','Voronoi Segmentation Clusters','NumberTitle','off','color','w','units','normalized','position',[0.3 0.2 0.4 0.55],'menubar','none')
set(1,'defaultfiguretoolbar','figure');
if length(data)>1
slider_step=[1/(length(data)-1),... |
604fbc7fc86662e29a2c6eef03f3469981b7ad4b9702c77de9a8a567cf6aeb55 | MATLAB | 1,503 | 47 | function [Ppos,Pneg]=participation_coef_sign(W,Ci)
%PARTICIPATION_COEF_SIGN Participation coefficient
%
% [Ppos Pneg] = participation_coef_sign(W,Ci);
%
% Participation coefficient is a measure of diversity of intermodular
% connections of individual nodes.
%
% Inputs: W, undirected connect... |
0cb4fe7d38cdd25c2ea25d2a71579eb80da3665f1a0d5f8a5645218be76c91a2 | MATLAB | 1,510 | 39 | function loc_list_density_plot_voronoi_areas(data)
answer = inputdlg({'Maximum Number of Localizations for Down Sampling:'},'Input',[1 50],{'1000'});
if isempty(answer)~=1
num_points = str2double(answer{1});
f=waitbar(0,'Please wait...');
voronoi_data = cell(1,length(data));
for i=1:length(data)
... |
9573887241a13b7754a28327bbb74b526db7aee40db2c5809971f2c380ac8265 | MATLAB | 1,513 | 53 | function t=tquant(n, p)
%TQUANT Quantiles of Student's t distribution
%
% TQUANT(n, p) is the p-quantile of a t distributed random variable
% with n degrees of freedom; that is, TQUANT(n, p) is the value below
% which 100p percent of the t distribution with n degrees of freedom
% lies.
% Modified 13-Jul-06
% ... |
5e0eb09abc502759c4c8ae674ebfc7e7a72932a02538870fd83225a428524e1a | MATLAB | 1,515 | 50 | function [view_angles,surf_id] = process_views(obj)
% Converts the input views character arrays to actual view angles and
% defines which surfaces to include. Valid views contains the view angle(s)
% in the top row, and the surface index (1,2, 3 for both surfaces) in the
% bottom row.
%
% View priority is as follows:
%... |
de9b99007bbe2476f67e7aed17d4da27b9fda0a89a53a36cab4ffeaadf23f70c | MATLAB | 1,515 | 49 | function P=participation_coef(W,Ci,flag)
%PARTICIPATION_COEF Participation coefficient
%
% P = participation_coef(W,Ci);
%
% Participation coefficient is a measure of diversity of intermodular
% connections of individual nodes.
%
% Inputs: W, binary/weighted, directed/undirected connection ... |
94d0889c00f7cda62dc8da9c30ed7fb2b20a1a9bbced786e9446e113e84d0fff | MATLAB | 1,517 | 33 | prot = tblread('L:\Elite\Camilla\2016\juni\log2LFQvalues.txt','\t');
[data,id,idx]=xlsread('L:\Results\Ishita\Log2abs0.5.xlsx');
data=dataset('XLSFile','L:\Results\Ishita\Log2abs0.5.xlsx');
prot = tblread('L:\Results\Ishita\Copy of Log2abs0.5 GO.txt','\t');
idx(:,1)
protcl=data(:,8:19);
clustergram((protcl), 'Col... |
8cb253ddae13bde0a63f58678b949e90b45f5c37f2c128348a95a8fc9c92bf01 | MATLAB | 1,520 | 50 | function nii_path = create_nii__(data_path,output_folder,varargin)
aux = strsplit(data_path,filesep);
% Default values for your optional parameters
name = aux{end-1};
dummy_scans = 0;
% Parse the varargin input
for i = 1:2:length(varargin)
param_name = varargin{i};
param_value... |
dbc1b600702ed4338f9c43fd812c6db8d33776b85ed8298004701a17e9f496da | MATLAB | 1,522 | 59 | clear all
parpool(60)
tic
Gm = .01:.01:.45; % basline connectivity
Gn = 0.005:0.002:0.05;
fs = 1;
% Preallocate an array for storing results (flattened for compatibility with parfor)
num_combinations = length(Gm) * length(Gn);
feat = ones(num_combinations, 9);
parfor idx = 1:num_combinations
% Convert linea... |
c252f0108d9080e60b5cafd1b6bf5348e5d0ca1685cd0ad896bf0506e684b850 | MATLAB | 1,525 | 52 | function piled_data = pile_data(data,name,delname)
delname = cellfun(@(x) append("_",x),delname,'UniformOutput',false);
delname = horzcat(delname{:});
x = cell(1,length(data));
y = cell(1,length(data));
area = cell(1,length(data));
Channel = cell(1,length(data));
for i = 1:length(data)
if ~isempty(data{... |
d13ffc3994bad0782674b53e5fb6d7d7e113020d549c573dee0a33725fac13d8 | MATLAB | 1,538 | 53 | function [X,Y,Z] = adjacency_plot_und(aij,coor)
%ADJACENCY_PLOT_UND Quick visualization tool
%
% [X,Y,Z] = ADJACENCY_PLOT(AIJ,COOR) takes adjacency matrix AIJ and node
% spatial coordinates COOR and generates three vectors that can be used
% for quickly plotting the edges in AIJ. If no coordinates are sp... |
4106690107823384bc677a17b265d33c283285b1a92aed6d9b9d14b7df2ef99b | MATLAB | 1,539 | 59 | classdef CheckBox < nla.inputField.InputField
properties
name
display_name
default_value = false
plot_figure = false
label = false
field = false
end
properties (Constant)
BOX_WIDTH = 12
end
methods
function obj = CheckBox(name, disp... |
30a4218b444e2f71588b67e6639bc795efe58c9b8433ce0c794aba2bcc8b6824 | MATLAB | 1,542 | 59 | load('svm_mat555');
[s v t]=size(svm_mat);
sn=Design_Para(:,6)';
mn=Design_Para(:,4)';
corrcoef(mn,sn)
for i = 1:size(svm_mat,1)
for j = 1:size(svm_mat,3)
%svm_mat_norm(i,:,j)=mat2gray(svm_mat(i,:,j));
svm_mat_std(i,:,j)=(svm_mat(i,:,j)-mean(svm_mat(i,:,j)))/std(svm_mat(i,:,j));
end
end
voxmode_std=resh... |
2e6448d0103b3edc6d5290661acdb411ae7ab78bbacfe446de8f7d3ee1c3a200 | MATLAB | 1,556 | 41 | function full_data = parcel2full(parcellated_data,parcellation)
% PARCEL2FULL Upsamples parcel data to vertex data.
%
% full_data = parcel2full(parcellated_data,parcellation) takes n-by-1
% vector parcellated_data and creates a new m-by-1 vector full_data,
% where each value in full data corresponds to the parc... |
0916d7e03ab5e61508dfdd71ab37aa9dc27a51c13a6ced31b94eb92a0bce0e6c | MATLAB | 1,557 | 45 | function [fcyc,pcyc] = cycprob(Pq)
% CYCPROB Cycle probability
%
% [fcyc,pcyc] = cycprob(Pq);
%
% Cycles are paths which begin and end at the same node. Cycle
% probability for path length d, is the fraction of all paths of length
% d-1 that may be extended to form cycles of length d.
%
% Input: ... |
e67145a53cef38c565168f2c8fa71d516ef64984d047086f44b578779d6d04cc | MATLAB | 1,558 | 45 | function [conv_regs, all_conv_regs_raw] = tc_conv_regs(regs, reg_names, config, inds)
%% conv_regs = tc_conv_regs(regs, config, inds)
%
% regs: cell array with different regressors
% config: configuration to be forwarded to spm_jobman in order to perform
% the convolution
% inds: indices of volumes to be selected (e.g.... |
30efaa4c46f2fe2cf78f1a318372b441437d3a61f6d7d6b1702a3a57dc59e1a5 | MATLAB | 1,560 | 48 | % plot thresholds as function of week
if ~exist('DATA_ROOT','var'), run(fullfile(pwd, 'matlab', 'config.m')); end
load(FIG2_DATA);
weeks = [];
thresholds = [];
for animal_index = 1:6
dayThresholds = daysThresholdsAll{animal_index}(:);
daysTrained = ones(3, 1) * daysTrainedAll{animal_index};
daysTrained = d... |
a0357a271eb67575f513b746fce28156116c3e830e5fa98446a91b33d79e380a | MATLAB | 1,566 | 46 | function [X,Y,indsort] = grid_communities(c)
% GRID_COMMUNITIES Outline communities along diagonal
%
% [X Y INDSORT] = GRID_COMMUNITIES(C) takes a vector of community
% assignments C and returns three output arguments for visualizing the
% communities. The third is INDSORT, which is an ordering of the ... |
a69313ecdac44af3265ea32b0b972b938acf744e24d51c4ff2e8beff2495f705 | MATLAB | 1,572 | 49 | function new_scout_sel = bst_create_scout(subject_name, surface_type, scout_name, scout_seed, scout_size, atlas_name)
assert(isvarname(scout_name));
if strcmp(surface_type, 'scalp')
s_isurf = 'iScalp';
elseif strcmp(surface_type, 'cortex')
s_isurf = 'iCortex';
else
disp('ERROR: surf_type must either be "sc... |
ca7b76494c62ecbeac859aab4ccda42039601c8b863ffb10eb471ee61bde834c | MATLAB | 1,572 | 31 | function GloEvMat = globalEvtActiv(GlobalEventsTime,realEvts,varList)
% This function builds a cell array containing the list of active ROIs and
% their peak time for each global event based on *GlobalEventsTime* from
% the function globalEvSeg
% ----------------------------------------------------------------------- %... |
60281829fc2996d33e2d431c6211b37c7d5350e65889ba80a57f55fa4e2131a1 | MATLAB | 1,575 | 68 | clear
maindir =[path_ludisc 'Data\MIPCART pilot\Pilot MRI\\'];
% maindir = '\\uw.lu.se\research\msf_fsz\Data\MIPCART pilot\Pilot MRI\MouseReference_Pilot_Feb2023\230206\';
% NOTES
dir_name = 'analysis_perWf_';
fnl = fix_findFiles(maindir, '*mcw_DWEpiWavev7_MAGNITUDE_dn_mc.nii.gz');
%%
opt = mdm_opt;
opt = mio_opt... |
84a373a5ee2e4805de28e18ad620dc9d4eb82bee708e4e302d238f63edfdf08f | MATLAB | 1,576 | 53 | function A = randomize_graph_partial_und(A,B,maxswap)
% RANDOMIZE_GRAPH_PARTIAL_UND Swap edges with preserved degree sequence
%
% A = RANDOMIZE_GRAPH_PARTIAL_UND(A,B,MAXSWAP) takes adjacency matrices A
% and B and attempts to randomize matrix A by performing MAXSWAP
% rewirings. The rewirings will avoid... |
a0efc2fabda1ab63982daeaf1ce54f2f7388a6ce75e1ef70dc2c1bc3429c3f49 | MATLAB | 1,576 | 62 | S1= {[1:240], []};
S2= {[1:60] []};
S3= {[] [149]};
S4= {[55] []};
S5= {[105:109] []};
S6= {[61 223:240] [5 61 167 218 227 230 ]};
S7= {[] []};
S8= {[1:9 18 61:73 102:107 169 236] []};
S9= {[1:11 36:52 72:118 134:178 197:239] []};
S10= {[] [18 26 46 167]};
S11= {[239] []};
S12= {[] []};
S13= {[19:48 70:190 163:180] [98... |
e03e41ee1260c028f72f63015332234e303138e88348f5058fff169439977fd9 | MATLAB | 1,587 | 38 | function [count_off,duration_off,rate_off,count_on,duration_on,rate_on,NonREMdur]=find_off_period(BI,fn,duration_min)
%BI: Binary vector representing continuous timestamps with 1 meaning a
%spike was detected for this timestamp.
% fn: sampling rate
NonREMdur=length(BI)/fn; %sec
[spikes]=myFind... |
f91159abad41b1db3e617efb011c6b5571cf32c4a247a1c5637ab6fd8e332ab5 | MATLAB | 1,588 | 60 | function f = gl( varargin );
%Generates levels for a factor.
%
% Usage: f = gl( levels, m, n );
%
% levels = a single scalar, p, or
% = a cell array of p strings {'F1', 'F2', ..., 'Fp'} for the level
% names, or
% = a string 'F', followed by a single scalar p, so that the call is
% ... |
6f762c524f66db1eaa1b977c1f13c114ef020bf844468c7e2a6ee3f5ccf7885a | MATLAB | 1,589 | 53 | function Substream = Pick_SubgraphStream(dFCstream, links)
% FUNCTION SubgraphStream = Pick_SubgraphStream(dFCstream, links)
% This function takes as input: i) dFCstream is a dFCstream object generated by
% TS2dFCstream, in either 2D or 3D formats;
% ii) list of links to include in the subgraph, in either vector ---fr... |
f5c223aea65a5850db92867d1868073a8615a50402394c28f321ef1b93284dde | MATLAB | 1,594 | 51 | function [tracks_image,track_intp] = spt_convert_tracks_to_image(tracks,image,pixel_size)
tracks_norm = cellfun(@(x) x(:,2:3)/pixel_size,tracks,'UniformOutput',false);
track_intp = cell(length(tracks),1);
for i = 1:length(tracks)
track_intp{i} = interpolate_track(tracks_norm{i});
end
track_intp_all ... |
6447296acc8b3dcc9abc61da8641951bbd05e487935abe4439e850cb7fdc5b96 | MATLAB | 1,598 | 42 | function C=clustering_coef_wd(W)
%CLUSTERING_COEF_WD Clustering coefficient
%
% C = clustering_coef_wd(W);
%
% The weighted clustering coefficient is the average "intensity"
% (geometric mean) of all triangles associated with each node.
%
% Input: W, weighted directed connection matrix
% ... |
cffc306e020ab12936f4a6c1aec32956c6980c961ba4d9c095f05b33806d38ed | MATLAB | 1,599 | 57 | function Y = SurfStatReadData1( filename )
%Reads data (e.g. thickness) from a single .txt or FreeSurfer file.
%
% Usage: Y = SurfStatReadTxt( filename );
%
% filename = .txt or FS file name, either new version binary or ASCII.
%
% Y = n x v vector of data, v=#vertices.
[pathstr,name,ext] = fileparts(file... |
e7cccb86e2e8690fb3c77b62b61d9d039c80b3585e10e349e73a50586af02788 | MATLAB | 1,600 | 36 | clc;close all;clear
% Do not change from this point on
Continue = 1; % Ignore this
while(Continue)
[file,path] = uigetfile('*.mat','Select the file you want to load'); % Open a dialog so you can specify how to save it. For safety, we don't show any mat files so there is no confusion during loading/sav... |
821a11bc570ff84e030e59f81b6c3d279dca993076b36ccb58a8d624ce93abf0 | MATLAB | 1,603 | 37 | function drawNetworkROIs(net_atlas, ctx, mesh_alpha, ROI_radius, surface_parcels)
%DRAWNETWORKROIS View ROIs on cortex mesh, colored by network, 3 views
% net_atlas: relevant NetworkAtlas object
% ctx: MeshType object determining what mesh inflation value to use
% mesh_alpha: transparency of corte... |
806f1f8072655b88191e755d2c275a00db363cd693b6a90cbfd74b6198c77e54 | MATLAB | 1,611 | 51 | function [fc,FC,total_flo] = flow_coef_bd(CIJ)
%FLOW_COEF_BD Node-wise flow coefficients
%
% [hc,HC,total_flo] = flow_coef_bd(CIJ)
%
% Computes the flow coefficient for each node and averaged over the
% network, as described in Honey et al. (2007) PNAS. The flow coefficient
% is similar to betweenness c... |
5987049380d19fe13a8ffb2e5cb84ba72217bda7635d1b8269420af1ecf3f67e | MATLAB | 1,613 | 53 | function Starstream = Pick_StarStream(dFCstream, region)
% FUNCTION Starstream = Pick_StarStream(dFCstream, region)
% This function takes as input: i) dFCstream is a dFCstream object generated by
% TS2dFCstream, in either 2D or 3D formats;
% ii) region is the index of a region which is the center of the sequence of st... |
fe29df9742d2743aabadd3c82f234dda9a4ef9242bae7962337e8c3fc168941d | MATLAB | 1,621 | 41 | function varargout = split_surfaces(S)
% SPLIT_SURFACES splits disconnected surfaces into separate variables.
%
% varargout = SPLIT_SURFACES(S) takes the surface in S and returns all
% connected components in separate variables. Order of the output
% surfaces is identical to their order in the coordinate matrix... |
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