sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
89273bcc221fbb4771ae8d2c5a62b6e0bc8a38c30e77a9ec13651748210280a5 | MATLAB | 431 | 17 | function [ paddeddata ] = NanPadJumps( timestamps,data,minjump )
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
jumpstarts = find(diff(timestamps)>minjump);
jumpstops = jumpstarts+1;
paddeddata = data;
paddeddata([jumpstarts jumpstops]) = nan;
%%
% figure
% plot(timestamps,paddeddata... |
cab999d074df984929ea44682186160473923663f74a9abe0fe5125d6ee116d1 | MATLAB | 431 | 24 | % gauss() - return a smooth Gaussian window
%
% Usage:
% >> outvector = gauss(frames,sds);
%
% Inputs:
% frames = window length
% sds = number of +/-std. deviations = steepness
% (~0+ -> flat; >>10 -> spike)
function outvec = gauss(frames,sds)
outvec = [];
if nargin < 2
help gauss
return
end
... |
fd74e33bc9507194dee36c39479e4000444fdf589d1a0ad3b7727f8e34689dbb | MATLAB | 431 | 15 | function [maxes positions] = getBumpPos(ang,sine)
% This function computes the bump position for all timepoints in some
% columnar imaging data. ang and sine are outputs from
% sinefit_columnardata()
% example script:
% [x2 s2] = sinefit_columnardata(d);
% [m2 pos2] = getBumpPos(x2,s2);
% figure; scatter([1:l... |
945de07ba5cf1fcc5040f82c65207e111dd5e66445ad789a39f5a4c02eff0cb8 | MATLAB | 432 | 30 | % load a trial of mic data
% 1000 Hz sample rate assumed
load(trialname);
figure; plot(trial)
figure; spectrogram(trial,500,250,'yaxis')
%%
[b a] = butter(4,[180 360]/1000);
filttrial = filtfilt(b,a,trial);
figure; plot(filttrial)
[up,lo] = envelope(filttrial);
figure; plot(up)
figure; sp... |
0c4ee1d64ebe79754c77ab9efb22a3f0e937acc2a664a21b7313ae20eb19e8a2 | MATLAB | 434 | 15 | function [avgfluor,stdfluor]=averagedirections(fluordata)
fn=fieldnames(fluordata);
for k=1:5
if isnan(fluordata.(fn{k}))
avgfluor.(fn{k})=NaN;
stdfluor.(fn{k})=NaN;
else
avgfluor.(fn{k})=nanmean(fluordata.(fn{k}));
stdfluor.(fn{k})=nanstd(fluordata.(fn{k}));
end
end
end
%yo... |
44066e61745ae09f973a3aacdc455b02b6808aaea313331b2ef603ebdf0480b6 | MATLAB | 435 | 10 | function [HbO_pred, HbR_pred, Hb_all] = predict_channel_hb_from_muA(J_chrom_brain, mu_a760, mu_a850)
%PREDICT_CHANNEL_HB_FROM_MUA Apply spectral J to brain µa vectors → channels.
% [HbO_pred, HbR_pred, Hb_all] = PREDICT_CHANNEL_HB_FROM_MUA(Jc_brain, mu760, mu850)
mu_vec = [mu_a760(:); mu_a850(:)];
Hb_all = J_ch... |
67e38701a3dad36bcfbb51d5e89acc3f0a4cdcf94e8442bfef3f8b763b80e2b8 | MATLAB | 435 | 10 | function [Zx] = find_zc(x,y,threshold)
% positive slope "zero" crossing detection, using linear interpolation
y = y - threshold;
zci = @(data) find(diff(sign(data))>0); %define function: returns indices of +ZCs
ix=zci(y); %find indices of + zero crossings of x
ZeroX = @(x0,y0,x1,y1) x0 - (y... |
630207f652aba7f02654d96558fd95afe29d1e8333e34ae64d4842a923436b75 | MATLAB | 436 | 20 | function b = padImage( a , vpad , hpad )
if ( nargin == 2 )
hpad = vpad;
end
u = repmat( a(1,:) , [ vpad 1 ] );
b = repmat( a(end,:) , [ vpad 1 ] );
l = repmat( a(:,1) , [ 1 hpad ] );
r = repmat( a(:,end) , [ 1 hpad ] );
ul = repmat( a(1,1) , [ vpad hpad ] );
ur = repmat( a(1,end) , [ vpad hpad ] );
bl = repmat( ... |
12bc276d75dcba1b5cafa3fd86d976b0cd68b887086648a3d54bee23d04dfb12 | MATLAB | 437 | 23 | function [trans check full2sparse] = get_matlab_bgl_options(varargin)
%
% Internal private function.
%
% Example:
% Don't use this function!
%
%% History
% 2008-09-26: Changed to use merge_options instead
%%
doptions = set_matlab_bgl_default();
if nargin>0
options = merge_options(doptions,varargin{:});
else
... |
ca9914a8533f8dabc367bb39e557b18a4ad8166ecc673ba1cc76ff99062266f8 | MATLAB | 437 | 18 | function nsols = numevalsol(sols,varargin)
for k = 1:(nargin-1)/2,
eval(sprintf('%s = varargin{%i}; ',varargin{2*k-1},2*k));
end;
nsols = struct;
fn = fieldnames(sols);
strr = @(x) strrep(strrep(strrep(x,'*','.*'),'^','.^'),'/','./');
for k = 1:length(fn),
f = getfield(sols,fn{k});
clear res
for ... |
48cd3a2b382627b79095db253b0fe203301a1c94b439b29a6ea9fe508be6d826 | MATLAB | 438 | 13 | function disp( x, prefix )
if nargin < 2,
prefix = '';
end
disp( [ prefix, 'cvx ', cvx_class( x, true, true, true ), ' expression (', type( x ), ')' ] );
dual = cvx_getdual( x );
if ~isempty( dual ),
disp( [ prefix, ' tied to dual variable: ', dual.subs ] );
end
% Copyright 2005-2016 CVX Research, Inc.
% See... |
7e134218726fcc5e9802c852b186dc536b1baa88d2bfd2d107ef2a077780e8c9 | MATLAB | 438 | 17 | function T1D_dic=cal_T1d_dictionary(Rdosl, B1, dictionary)
all_inhom_b1=dictionary.all_inhom_b1;
all_jtmt=dictionary.all_jtmt;
var_T1d=dictionary.var_T1d;
% match B1
b1_check = abs(B1 - all_inhom_b1);
num_b1 = find(b1_check == min(b1_check));
% match T1D
if (Rdosl > 0) && (Rdosl < 5)
yy_check = abs(Rdo... |
ea68ce43f318c83becbf22bfba8049df75b5e917a778149ae42ed9216ce29ba7 | MATLAB | 439 | 17 | function xfit = lfmarg(fit)
% computes grid margins from a locfit object, used for plotting.
% this function is called from lfplot and lfband, will not normally
% be called directly by users.
box = fit.fit_points.fit_limits;
d = size(box,1);
xfit = cell(1,d);
mg = 10*ones(1,d);
if (d==1) mg = 200; end;
if ... |
4e67933a24c1355e53f9bd08fad5d18c0c4e1ce4087d83a2a250984b7def3968 | MATLAB | 440 | 13 | function tf = isfield(this,field)
% Isfield method for GIfTI objects
% FORMAT tf = isfield(this,field)
% this - GIfTI object
% field - string of cell array
% tf - logical array
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimagi... |
47e0317a3e175d767878742422f8adca5addce3b6696ba698edb592e3c042cf0 | MATLAB | 441 | 18 | function formatCCF(ARfactor, fontSize, leftOffset, bottomOffset)
if nargin < 2
fontSize = 6;
end
% Set sizes
% Paper ready figure/axis formatting
panelWidth = 1.699*ARfactor;
panelHeight = 2.2*ARfactor; % This is the only way to get the right aspect ratio from the paper
if nargin < 3
leftOffset = 0.5;
end
if ... |
54896b79e018a9cd16d79d43bfee2ff2ab7abe3f5a523caed9400d999e93baca | MATLAB | 442 | 15 | function hm = makeSpeedHeatmap(ivc)
% [7:9] AF slow
% [10:12] AF mid
% [13:15] AF fast
% For each row, first column is slowest OF and last/third column is fastest
% OF speed.
a = [mean(ivc(:,7)), mean(ivc(:,8)), mean(ivc(:,9))];
b = [mean(ivc(:,10)), mean(ivc(:,11)), mean(ivc(:,12))];
c = [mean(ivc(:,13)), me... |
a39a0dbc0a012169aa7a912e98786712390a65e05187d6f0e65ddbc6a4302c88 | MATLAB | 442 | 12 | function data_out = Trinh_freq_normalize(data_in, mean_freq)
% removes background noise from each frequency bin by subtracting the
% averaged amplitude measured at neighboring frequency bins from each
% frequency bin as seen in Moureaux et al., 2011, Norazadan et al., 2012,
% Cirelli et al., 2019
% Trinh Jan 24
d... |
3d2a442c021007dd55082b753d0df3fcc8fca39cf702597b0a20e40e53096354 | MATLAB | 443 | 14 | function [n,samplecounts] = plx_adchan_samplecounts(filename)
import CMBHOME.PLX2Mat.*
% plx_adchan_samplecounts(filename): Read the per-channel sample counts for analog channels from a .plx file
%
% [n,samplecounts] = plx_adchan_samplecounts(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialo... |
8d1cf7c873ade90638951a875fd2f5075a3296d0ae0e2caeed3526e4c72b0ab7 | MATLAB | 443 | 14 | function rsquared = getRsquared(data,model)
%%% A function to calculate Rsquared even though it's invalid for nonlinear
%%% regression. Can use alongside other tests of goodness of fit. data is
%%% the observations; model are the model predictions from the same
%%% independent variable values as data.
SSR = su... |
c4be2297d688a3e4f32bd6d7295bf6ffbc4802ddcb28b46b97e07f8dc605d6be | MATLAB | 443 | 12 | function [ data_out ] = Trinh_MovingMeanSpectra(data_in, window )
%
% This function computes a moving window of the data (FT format) calling
% another function 'movingmean'.
%
%% Giacomo Novembre
data_out = data_in;
for tr = 1:length(data_in.trial)
data_out.trial{tr} = movingmean( data_in.trial{t... |
ceb7da6752370bbfcb07272b44b9f2206d5e98eb0528e7f9b9c07152a0031d5f | MATLAB | 443 | 19 | function [Cleaned,beta_hat,nnanix]=ea_regressout(S,Cova)
% simple function that regresses out one variable from another
nnanix=any(isnan(Cova),1);
nnanix=nnanix+(isnan(S));
nnanix=~nnanix;
Cleaned=S;
Cova=Cova(:,nnanix);
S=S(nnanix);
Cova=zscore(Cova')';
S=zscore(S);
beta_hat = (Cova*Cova')\Cova*squeeze(S'); % or... |
56e5bca2b5442aa0b4c7e9f434d9b483ef873797cc2c888c6692b2cd2611fd8e | MATLAB | 444 | 19 | function [p] = get_line_xyz(h)
% File: get_line_xyz.m
% Author: Ioannis Filippidis, jfilippidis@gmail.com
% Date: 2012.06.15
% Language: MATLAB R2012a
% Purpose: get line point coordinates and fix z if empty
% Copyright: Ioannis Filippidis, 2012-
% get defined data-points
x = get(h, 'XData');
... |
3eb9e8efbef0bdaf1d2985706a64cfddba52e903f29f2b322b2a93be893b9ac5 | MATLAB | 445 | 12 | function outDir = ea_connectome_normparams_dir(directory)
% Return directory where Lead-Connectome SPM norm params (y_ea_*.nii) are stored.
% BIDS: normalization/transformations; legacy: subject root.
if nargin < 1 || isempty(directory)
outDir = '';
return;
end
if contains(directory, 'derivatives') || contains(... |
de5db6f7f663da911b89764bc0a1a4f90026c9d076809aaa68a905d758cdc54e | MATLAB | 445 | 15 | %% getFilenameFromWildcard
%
% Florian Bernard
% Centre Hospitalier de Luxembourg, Dep. of Neurosurgery /
% University of Luxembourg - Luxembourg Centre for Systems Biomedicine
% 2014 - 2017
function filepath=getFilenameFromWildcard(folder, wildcard)
theFile=[folder filesep wildcard];
filepath=dir(theFile);
... |
3120dda6f4f01d607a353df67f13a68f025b6e05be63d82a76ed3e99817991b8 | MATLAB | 446 | 12 | masterscriptdir = what(fullfile('CANlab_help_examples', 'Second_level_analysis_template_scripts'));
if isempty(masterscriptdir)
error('Add Second_level_analysis_template_scripts folder from CANlab_help_examples repository to your path');
else
masterscriptdir = masterscriptdir.path;
end
if isempty(masterscri... |
88b41f507521f75ca58f678075b776dcc5e8375d832bcf7d2abdcbf15138bda5 | MATLAB | 446 | 15 | function plugin_remove(foldername);
% get plugin path
% ---------------
fullpluginfolder = fullfile(fileparts(which('eeglab.m')), 'deactivatedplugins', foldername);
if ~exist(fullpluginfolder)
error([ 'Could not find folder ' foldername ' in deactivatedplugins folder' ]);
end;
disp([ '... |
19087b061c6c38ab11897a7967f4d5ebf3bc1e502f248f8d9f682cb8cfb366f9 | MATLAB | 447 | 20 | function [no,el]=fillsurf(node,face)
%
% [no,el]=fillsurf(node,face)
%
% calculate the enclosed volume for a closed surface
%
% author: Qianqian Fang, <q.fang at neu.edu>
%
% input:
% node: node coordinates
% face: surface triangle list
%
% output:
% vol: total volume of the enclosed space
%
% -- this func... |
bcf59dc719b8e6ac3afea900c7c99cf2468810a7916b99f4a9143b9296bb4af1 | MATLAB | 447 | 22 | function [L, Lnorm] = calc_LaplacianMatrix(W)
% calc_LaplacianMatrix.m
%
% Calculate Laplacian and normalized Laplacian
%
% Input: W : connectivity matrix [NxN]
%
% Outputs: L : Laplacian matrix [NxN]
% Lnorm : normalized Laplacian matrix [NxN]
%
% Original: James Pang, Monash University, 2021
%%
d... |
0190f866aea7da5429f9c76fee0b9e7340e8cf62d3a5edeac7146807c3ebc144 | MATLAB | 448 | 24 | %% Plot
close all;
sourceArea = 'AC';
targetArea = 'PFC';
topoArea = 'AC';
section_granger_subplotImpl_population;
close all;
sourceArea = 'AC';
targetArea = 'PFC';
topoArea = 'PFC';
section_granger_subplotImpl_population;
close all;
sourceArea = 'PFC';
targetArea = 'AC';
topoArea = 'AC';
section_granger_subplo... |
0756a817883150d946564e38e120f6cc0f9ff4604997589719e881a70b5cd465 | MATLAB | 448 | 26 | function volume=CheckVolumeTetraMesh(V,T)
volume=0;
for i=1:size(T,1)
a=V(T(i,1),:);
b=V(T(i,2),:);
c=V(T(i,3),:);
d=V(T(i,4),:);
a=a-d;
b=b-d;
c=c-d;
k=cross(b,c);
v = abs(a(1)*k(1)+a(2)*k(2)+a(3)*k(3))/6;
volume=volume+v;
end
function c=cross(a,b)
a=a(:... |
821468e81b9eb64a8fd45356f6878d3d71fbfa8474d759441803435d5bcfa2d9 | MATLAB | 448 | 14 | function [pks, locs, varargout] = ea_findpeaks(data, varargin)
has_findpeaks = ~isempty(which('has_findpeaks'));
if has_findpeaks
[pks, locs, w, p] = findpeaks(data, varargin{:});
varargout = {w, p};
else
slope_sign = sign(diff(data));
locs = 1 + find(slope_sign(1:end-1) > 0 & slope_sign(2:end) < 0);
... |
d2823d4c4c643c5373b5a146c8244b19e679ef856b398d62af1714cf3e075b03 | MATLAB | 448 | 20 | function res = bumpmdl_de(params,thetavec,t,h,init)
% thetavec and res are now in radians
% parameters as of 20231017 (from fitting or no?)
% [ 2 ] % tau only
% x = [ 10/26:10/26:10 ]
% parameters
tau = params(1);
res(1) = thetavec(1)*h(1);
res(1) = init;
for i = 1:length(t)-1
coeff = -wrapToPi(th... |
09632b8d7d093c4fbc1d0d4fd189c19b42febabe45a7decb5cbeedd5f5fa9463 | MATLAB | 450 | 14 | function metadata = cifti_metadata_remove(metadata, key)
%function metadata = cifti_metadata_remove(metadata, key)
% Remove a metadata key and its value.
%
% >> cifti.metadata = cifti_metadata_remove(cifti.metadata, 'Provenance');
%looping over length handles empty just fine
for i = 1:l... |
b951bc3ad85fbb5f3d49faa768bedfd785866f5553f6619e5207d8d4c71c9697 | MATLAB | 451 | 13 | function y=rot2d_nf(im,rang,itype,rtype)
% Usage ... y=rot2d_nf(im,rang,itype,rtype)
%
% rang is [theta] in degrees (positive is CCW, rot2d_f is CW)
% (based on imrotate; x=+elevates-left,y=+elevates-top)
% itype is interpolation type -- default is linear
% rtype is rotation option -- cropping is default
if ... |
cb91b80c51cbfd78f7a9fb5b8407f35041e3d611d87a0e6f0ed85f51b027fc53 | MATLAB | 451 | 19 | function [ OutGeneSym ] = subfun_replace_dateGenes( DateSym )
tmploc = find(DateSym=='-');
if isempty(tmploc)
tmploc = find(DateSym=='.');
end
switch DateSym(tmploc+1:end)
case 'Mar'
OutGeneSym = ['MARCH' DateSym(1:tmploc-1)];
case 'Jun'
OutGeneSym = ['JUN' DateSym(1:tmploc-1)];
case 'S... |
498e4f2612b8d639a1873f72c1d13a0d3ab5f177121f6824d6a69dc3f2286adc | MATLAB | 452 | 16 | function y = testall( func, x )
y = do_test( func, x.value_ );
function y = do_test( func, x )
switch class( x ),
case 'struct',
y = do_test( func, struct2cell( x ) );
case 'cell',
y = all( cellfun( func, x ) );
otherwise,
y = feval( func, x );
end
% Copyright 2005-2016 CVX Researc... |
937d4c5fa90876df91b0ac4cba09ac407727b087bacb2a713689923f63440a82 | MATLAB | 453 | 13 | function tf = isfield(this,field)
% Isfield method for GIfTI objects
% FORMAT tf = isfield(this,field)
% this - GIfTI object
% field - string of cell array
% tf - logical array
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neu... |
eb5bba08679764e8dffff467994d53d1d739155dfda5af534a68ba17e1940f3f | MATLAB | 453 | 18 | function imgShift = shiftImage( img , theta )
Worig = size(img,2);
Horig = size(img,1);
pad = 2;
imgpad = padImage(img,pad);
W = size(imgpad,2);
H = size(imgpad,1);
xi = repmat( [ 1 : W ] , [ H 1 ] );
yi = repmat( [ 1 : H ]', [ 1 W ] );
dx = cos(theta * pi / 180 );
dy = -sin(theta * pi / 180);
imgpa... |
f4cdb0eef65acf650dc070cc504c822c78d3eb7cffd69e983f64bf3659e3863d | MATLAB | 453 | 20 | function cmap = cmapTargs()
% A simple turbo/jet-like colormap for motorGrab reaching targets
cmap = [[0.705, 0.000, 0.000];
[0.873, 0.138, 0.000];
[1.000, 0.399, 0.000];
[0.806, 0.436, 0.000];
[0.899, 0.663, 0.000];
[0.957, 0.918, 0.000];
[0.000, 0.572, 0.027];
[0.143, 0.775, 0.000];
[0.502, 0.944, 0.000];
[0.000, 0.... |
4d62ff0a18b94f5f04ecb13407612bd65a155cd62acfc6d0fb74aa99a843c039 | MATLAB | 455 | 13 | function cvx_optval = sum_square( x, varargin )
%SUM_SQUARE Internal cvx version.
narginchk(1,2);
if ~isreal( x ),
error( 'Disciplined convex programming error:\n The argument to SUM_SQUARE must be real and affine.', 1 ); %#ok
end
cvx_optval = quad_over_lin( x, 1, varargin{:} );
% Copyright 2005-2016 CVX Res... |
bc0174cc04ae5eca2ea2b5bc897e976aa38d698091ca9d83ba337f12b6f12651 | MATLAB | 455 | 12 | function y = conj( x )
%Disciplined convex/geometric programming information for CONJ:
% CONJ(X) imposes no convexity restrictions on its arguments. However,
% since CONJ(X)=X when X is real, it is only useful for complex
% affine expressions.
y = cvx( x.size_, conj( x.basis_ ) );
% Copyright 2005-2016 CVX Res... |
f1a6181f67d919ebff1341f145d218ab75ba20eeefad8e4e7d8956de692bcd3c | MATLAB | 455 | 23 |
% T-tests for each condition separately
% ------------------------------------------------------------------------
k = length(DATA_OBJ);
t = cell(1, k);
for i = 1:k
t{i} = ttest(DATA_OBJ{i});
t{i} = threshold(t{i}, .01, 'unc');
end
o2 = canlab_results_fmridisplay([], 'multirow', 2);
for i = 1:k
... |
3eb5d677dd5bea6dc5c1be0a9802f461467b1ae20145a603b38eca18570097ed | MATLAB | 456 | 22 | clear;
clc;
close all;
addpath(genpath('../functions/'));
SUBINFO_FILE = '../../subInfo/rid_sex_mDoB_yDoB_mExam_yExam_ageExam_dx_icv_bl.csv';
GMICV_FILE = '../../vbm_810bl/gmVolAndICV/rid_gmVol_icv_bl.csv';
K = 3;
% Requirement for x-axis: auto, auto-center, or manual-center
xlimCmd = 'auto-center';
if K == 2
... |
72879d8d83cbea6c6505caf5f656a746e751259a5690f006da77c024d9583bc9 | MATLAB | 456 | 13 | function z = logitSafe(p)
% logitSafe Logit transform guarded against 0 and 1.
%
% z = logitSafe(p)
%
% Clamps p away from the open-interval endpoints before taking
% log(p./(1-p)), so probabilities of exactly 0 or 1 give large finite values
% rather than -Inf or +Inf. Used when converting Elastic Net predicte... |
d5b5bf9df1eaa72005c928ed39186d7c859a63a3bb24abb61dea3a977381de58 | MATLAB | 456 | 16 | function [ results ] = pass_index( self, varargin )
% How far through the field?
if isempty(self.cel)
self.cel = varargin{1};
varargin = varargin(2:end);
end
if isempty(self.active_lfp)
self.active_lfp = self.cel(1);
varargin = varargin(2:end);
end
results = CMBHOME.PASS_INDEX.pass_in... |
b032df4ccadb09f6e2b12f3fcfaf6fdc1856318995c5d92977e42530558dac80 | MATLAB | 457 | 22 | function s = CBIG_MMLDA_pvalue2str(p)
% s = CBIG_MMLDA_pvalue2str(p)
%
% Convert p value to string
%
% Input:
% - p : double number
%
% Output:
% - s : string
%
% Example:
% s = CBIG_MMLDA_pvalue2str(0.0001);
%
% Written by Nanbo Sun and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/m... |
e628b49ab8050deab6d60f6d7f80fedc3feb989dc932b04839fcfb0fdf2ab481 | MATLAB | 457 | 19 | function uisettxt(fig, tag, str, varargin);
alltmpobj = findobj(fig, 'tag', tag);
for tmpobj = alltmpobj'
tmppos = get(tmpobj, 'position');
delete(tmpobj);
axes('position', tmppos);
axis('off');
if ~iscell(str), str = { str }; end;
maxX = 0;
for index = 1:length(str)
tmp = text... |
0817cf9f3b1d5d0372cb52a418594b20ec1c4be17f4d181f3c1b7067444312c1 | MATLAB | 458 | 16 | function ftr = selectCortexFibers(finame,gm,oversamp,Nsz)
gm = nifti(gm);
gm = double(gm.dat);
ftr = ftrstruct_read(finame);
fibs = ftr.curveSegCell;
terms = cellfun(@(x) [x(1,:); x(end,:)]-1,fibs,'UniformOutput',false);
terms = cat(1,terms{:})'*oversamp;
idxbol = SelectCorticalFibers(single(gm),double(Nsz),single... |
1010f8d87a5ca741b8ef12210046dfa51d5647bc620992d40e968e76aa32d3b5 | MATLAB | 458 | 13 | clear;
%Motion corrected tiff stacks must all have the same name, defined in line
%10 of register_rois2.m
baseFolder = ''; % Folder with your reference motion corrected tiff stack and RoiSet.zip
otherFolders = {''; % Folders to register the ROIs to. Each needs to contain a motion corrected tiff stack... |
30a311851418d8621a2fd0efadcd63b8f0b32f60d6e0e538b778ca199080af6e | MATLAB | 458 | 14 | % Local Regression and Likelihood, Figure 11.5.
% Author: Catherine Loader
%
% Local Adaptive Smooth - Dopler example.
% Adaptive fitting using Katkovnik (et al) ICI criterion.
%
% NEED: Improve plot - curve is hard to see.
x = (0:2047)'/2047;
m = 20*sqrt(x.*(1-x)) .* sin(2*pi*1.05 ./ (x+0.05));
y = m + normrnd(0,1,20... |
628541f023f6178f4d5b7d1ce5e2916a1a858da9fb3f43da9cfb407fb24650d6 | MATLAB | 458 | 20 | function F = isfield(tree,uid,parameter)
% XMLTREE/ISFIELD Is parameter a field of tree{uid} ?
% FORMAT F = isfield(tree,uid,parameter)
%
% tree - a tree
% uid - uid of the element
% parameter - a field of the root tree
% F - 1 if present, 0 otherwise
%
% Is parameter a field of tree{uid} ?
%
% See ... |
e6b9918e7b3260f0a3cde48869f82c5164604d7ce049acdb5906fa701c6ffe4e | MATLAB | 459 | 15 | function [new_clu log] =renumberclu(clu,log)
% re-orders clu to start from index 1 and iterate through the number of
% clusters
% rewritten by David Tingley, 2017
new_clu = zeros(length(clu),1);
cluster_names = unique(clu);
for i=1:length(cluster_names)
if cluster_names(i) ~= 0 % keep cluster 0 (noise) as 0
... |
3ea8f3945e6a8f543c6b3195c94264c9893cf8ecb915079326a3cb24c151c871 | MATLAB | 460 | 16 | function [ outData ] = subfun_GlobalMeanOffsetCorrection( inData )
% correct left-right bias (Global Mean Offset Correction)
globalMean = nanmean(inData,1);
leftMean = nanmean(inData(1:end/2,:),1);
rightMean = nanmean(inData(end/2+1:end,:),1);
leftOffset = leftMean - globalMean;
rightOffset = rightMean - globalMean;
... |
86a227f20755c4079a3e684f7650319a8d9facfcc84fcff23258562cb749c0f9 | MATLAB | 460 | 23 | function ifcell=ea_checknoerrorfolders(ifcell)
cnt=1;
ecnt=1;
for f=1:length(ifcell)
errfiles=dir([ifcell{f},filesep,'*.err']);
for e=1:length(errfiles)
fid = fopen([ifcell{f},filesep,errfiles(e).name]);
A=textscan(fid,'%s');
A=A{1};
fclose(fid);
if length(A)<2 ... |
8e21061152754a028a355f1ab73ba92691b4f9edf33ac5c72dc763792ac9cca0 | MATLAB | 460 | 16 | %% Abstract Class - configurablem marker interface
%
% A subclass has to implement a config panel to allow
% graphical confiuration of it's features
%
% Andreas Husch
% Centre Hospitalier de Luxembourg, Dep. of Neurosurgery /
% University of Luxembourg - Luxembourg Centre for Systems Biomedicine
% 2013 - 2017
% mail@a... |
f4acaddbc3f5d6c648c3f629508197ab9f17443fb4bef8c2ce34a9274e06d63e | MATLAB | 460 | 18 | % This function calculates the threshold for Holm (stepdown Bonferroni)
% multiple testing correction based on the following inputs
%
% base_alpha alpha value you want to start from, typically 0.05
% num_dvs number of dependent variables/univariate tests
function threshold = holmthreshold(base_alpha,n... |
255b7eec93420b99e90d23a9615cc1c6ae39751afb17f8d37cb09934ef1ec908 | MATLAB | 461 | 14 | function z = norm_nuc( x )
%NORM_NUC Nuclear norm of a matrix.
% NORM_NUC(X) = SUM(SVD(X)). X must be a 2-D matrix, real or complex.
%
% Disciplined convex programming information:
% NORM_NUC(X) is convex and nonmontonic in X, so X must be affine.
narginchk(1,1);
z = sum(svd(x));
% Copyright 2005-2016 CV... |
7c03fe8134cfface6b1795f0109e372cd1cd5886a5269fdd96ffe4d1ef540bc1 | MATLAB | 461 | 14 | function varargout = FNN(varargin)
%FNN (deprecated) Use fnn instead.
% FNN has been renamed to fnn. This shim forwards every argument and
% output unchanged, so existing scripts keep working, and warns once per
% session.
%
% Silence with: warning('off','FNN:deprecated')
%
% See also FNN.
warning('FNN:depre... |
354c7688f09aaf3ad2c878791f2a8e1df132085d57a6061915f266c39d399607 | MATLAB | 463 | 23 | function [ STATEints ] = IDStateEpisode(STATEints,maxintdur,minSTATEdur)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%
%INPUTS
% STATEints
% maxintdur maximum interruption
% minSTATEdur minimum state duration
%%
%SWSints = stateintervals{2};
[STATEints] = MergeSeparatedInt... |
b17a38bc7a28fd0e51da72f2b68d5fe103a10bf38145a0b0e8e34ccf8eaa23c7 | MATLAB | 463 | 20 | function is_planar = test_planar_graph(G)
% TEST_PLANAR_GRAPH Test if a graph is planar
%
% This function is just a convinence wrapper around
% boyer_myrvold_planarity_test.
%
% Example:
% A = clique_graph(5);
% test_planar_graph(A)
% A(4,5)=0; A(5,4)=0; % make K_5 into a planar graph
% test_planar_graph(A)
% ... |
327d4c32894982ba8368ba0b9b5d92a8b340ad498111e6b5df249c7bcd0478f6 | MATLAB | 464 | 20 | function eeg_files = dacq_eeg(basePath, prefix)
%Provides list of eeg files with the defined prefix int eh defined datapath
%folder.
file_list = listfiles(basePath);
file_list = alphabetizeEEGfnames(file_list);
required = [prefix,'.eeg'];
count=1;
for i = 1:length(file_list)
iseeg = strfind(file_... |
c6b72906d69b85b54543eeb1d9090841052bba937073314d247db26b207c243d | MATLAB | 464 | 21 | function root = FixTime(root)
% Aligns the session to start at time 0.
%
% root = root.FixTime;
for i = 1:numel(root.spike)
root.spike(i).ts = root.spike(i).ts - root.b_ts(1);
end
for i = 1:numel(root.b_lfp)
root.b_lfp(i).ts = root.b_lfp(i).ts - root.b_ts(1);
end
root.... |
6580a3085f454a4d83d2108d3d0a9ea8a22f7555a4ed224aceded272a7ff612e | MATLAB | 465 | 25 | function out=locfit_all(varargin)
% Smoothing noisy data using Local Regression and Likelihood.
%
% This is a combination of the locfit and predict functions
%
% Minimal input validation
if nargin < 1
error( 'At least one input argument required' );
end
predict_args = {};
locfit_args = varargin{1};
if nargi... |
b5a473ae021c02a2991fea1e7cddd31427a0f349f55e5a0973d1f6d8d23d6b89 | MATLAB | 465 | 19 | function bz_RunAnimalMetadata(basepath)
%% Initial variable parsing
if ~exist('basepath','var')
basepath = cd;
elseif isempty(basepath)
basepath = cd;
end
basename = bz_BasenameFromBasepath(basepath);
%%
bz_EditAnimalMetadata(basepath)
%%
notesname = [basename,'_AnimalMetadataText'];
notesfullpath = fullfil... |
e92370a749a45ddcba2d4a0942fefa06f22aa8e415d2a5267592c89033733424 | MATLAB | 465 | 5 | function CBIG_outof_limit()
% Written by Nanbo Sun and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb... |
29b01465895776834144489528f7c300e3e07784a02adc52154c430c86cd2120 | MATLAB | 466 | 11 | load('/Users/tor/Dropbox/A_A_CURRENT_DRAFTS_TO_REVIEW/Anjali_BMRK4_painTasteVision_extracted_pexp/bmrk4_pain_specific_PTV_overall.mat')
XX = X_pain_all;
YY = Y_pain;
names = [{'Intercept'} X_col_names {'Interaction'}];
% mean-center and create interaction
XX = cellfun(@(x) scale(x, 1), XX, 'UniformOutput', false);
XX... |
36d972194ba31498b63bc299190bd860194d3c86764ac2c772d9d2955caa3fa2 | MATLAB | 467 | 15 | function [nch, npoints, freq, d] = ddt_v(filename)
import CMBHOME.PLX2Mat.*
% ddt_v(filename) Read data from a .ddt file returning samples in mV
%
% [nch, npoints, freq, d] = ddt_v(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialog
%
% OUTPUT:
% nch - number of channels
% npoints - numbe... |
60c8bd94da928a0f1a79de13ae7b06e6c4902b57ab98791f77e76bd2a352dbc2 | MATLAB | 467 | 15 | function [angle, intensity,vectornew] = ea_diode_intensityprofile(artifact,center,pixdim,radius)
radius = radius * 2;
vector = [0 1] .* (radius / pixdim(1));
vectornew = [];
for k = 1:360
theta = (2*pi/360) * (k-1);
rotmat = [cos(theta) sin(theta); -sin(theta) cos(theta)];
vectornew =vertcat(vectornew,... |
c0f12b246244498846e5a89792dd973a443f0acf30cad70673bedd0714980c32 | MATLAB | 467 | 24 | function [ WS , DS ] = SparseMatrixtoCounts( WD )
%% Function SparseMatrixtoCounts
%%
% [ WS , DS ] = SparseMatrixtoCounts( WD )
%%
%
[ ii , jj , ss ] = find( WD );
ntokens = full( sum( sum( WD )));
WS = zeros( 1,ntokens );
DS = zeros( 1,ntokens );
startindex = 0;
for i=1:length( ii )
nt = ss(... |
f0e555458c533ce23d3d9923cc1874893741abf34d7378513591ca7083f92aa9 | MATLAB | 467 | 15 | function COG = ea_diode_calculateCOG(data,Xslice,Yslice,Zslice)
data(isnan(data)) = 0;
values = data(:)';
% [x,y] = ind2sub(size(data),[1:numel(data)]);
% xval = Xslice(x,y).*values;
% yval = Yslice(x,y).*values;
% zval = Zslice(x,y).*values;
xval = Xslice(:)'.*values;
yval = Ysl... |
7029d2e0d73c3df26caee07c56d21704749e4381a6f9e6b7258f5085c6f0ecc2 | MATLAB | 469 | 15 | files = dir('*stack.mat');
for n = 1:length(files)
load(files(n).name);
figure;
subplot(4,1,1); plot(leftstack); ylim([-5 5])
subplot(4,1,2); plot(rightstack); ylim([-5 5])
subplot(4,1,3); plot(rawstack'); ylim([-5 5])
subplot(4,1,4); plot(turns); ylim([-3 3])
figure; set(gcf,'Posit... |
7d9bff4c1e8cfdffa3ebae6628059fb96408309bbbe085cf845cb6ec8aab82b7 | MATLAB | 469 | 19 | function data=padNaN(data)
% Creates a padded data matrix from input structural array of spike times
% pads with NaN
% Usage: data=padNaN(data)
% Input:
% data : structural array of spike times
% Output:
% data : data matrix (zero padded)
NC=length(data);
fnames=fieldnames(data);
for c=1:NC;
eval(['Nsp(c)=length(da... |
94b3afcfbeed28b54ecb50e3a7f09f1a300d6fe9fbba698b8994bc668b59192d | MATLAB | 470 | 25 |
function writeNPY(var, filename)
% function writeNPY(var, filename)
%
% Only writes little endian, fortran (column-major) ordering; only writes
% with NPY version number 1.0.
%
% Always outputs a shape according to matlab's convention, e.g. (10, 1)
% rather than (10,).
shape = size(var);
dataType = class(var);
hea... |
b9b195f14e123a97ca3a33e229ba1d7557c4843aff7a7c3f57296fa79a657609 | MATLAB | 472 | 14 | % Local Regression and Likelihood, Figure 11.5.
% Author: Catherine Loader
%
% Local Adaptive Smooth - Dopler example.
% Adaptive fitting using Katkovnik (et al) ICI criterion.
%
% NEED: Improve plot - curve is hard to see.
x = (0:2047)'/2047;
m = 20*sqrt(x.*(1-x)) .* sin(2*pi*1.05 ./ (x+0.05));
y = m + norm... |
b4dba9f668612a064731ccedfd2e7ad967d5a08f7f757e89e3d5da1e72697118 | MATLAB | 473 | 19 | % Local Regression and Likelihood, Figure 7.3.
%
% Censored local regression.
%
% Author: Catherine Loader
%
% NEEDS: Kaplan-Meier based estimate. Identify curves and cens/uncens. data
load heart;
fit = locfit(age,log(0.5+surv));
figure('Name','fig7_3: censored local regression Kaplan-Meier based;' );
lfplot(fit);
xla... |
171324e707813b5b6d6a55a039213d23f93da9591f994f1278df0f1b81cb52c4 | MATLAB | 474 | 21 | function showROI_3D(Ly, Lx, rois, Img, rin)
if max(Img(:)) - min(Img(:))>0
Img = imadjust(Img);
Img = Img + 0.2;
Img(Img>1) = 1;
end
Sat = ones(Ly, Lx);
% r = [0.1 1];
rois2 = bsxfun(@times, rois, reshape(1:size(rois,3),1,1,[]));
ROImap = max(rois2,[],3);
if nargin <5
r = rand(size(rois,3)+1,1);
else
... |
3ca9a808b91e137dfa4552c508f38680cbf82d4aeb6029f6bc5098f5502e189b | MATLAB | 474 | 21 | function needstobebuilt=ea_checktpmresolution
options.earoot=ea_getearoot;
options.prefs=ea_prefs('');
needstobebuilt=1;
if ~exist([ea_space,'TPM.nii'],'file')
return
end
load([ea_space,'spacedef']);
if isfield(spacedef,'tpm')
if strcmp(spacedef.tpm,'custom_fixed')
needstobebuilt=0;
return
end
... |
95f3268b5615e4935fdbd8792ca9e2177fedf1c94a10e8fee22f91941f9b1aac | MATLAB | 474 | 14 | function outstring = cifti_metadata_get(metadata, key)
%function outstring = cifti_metadata_get(metadata, key)
% Get the value for a specified metadata key.
%
% >> provenance = cifti_metadata_get(cifti.metadata, 'Provenance');
outstring = '';
%looping over length handles empty just fine
... |
e611fe7fb407e1801d1d51da39a19d0f3498956ad2aac47c5bf38d15501ed4f2 | MATLAB | 474 | 12 | function T = read_main_text_source_table(sheetName)
% Read a source-data table from the consolidated manuscript workbook.
%
% The workbook is generated by:
% manuscript_figure_source_data/code/build_source_data_workbook.py
matlabDir = fileparts(mfilename('fullpath'));
dawnRoot = fullfile(matlabDir, '..', '..', '..')... |
a0828175dd38d7dbc39392fb8ebc7d8876652e37d3f664ca17d83d2879f785a4 | MATLAB | 475 | 12 | %% SETUP_PACER - add all PaCER subdirectories to your MATLAB path
%
% Andreas Husch
% Centre Hospitalier de Luxembourg, Dep. of Neurosurgery /
% University of Luxembourg - Luxembourg Centre for Systems Biomedicine
% 2017
% mail@andreashusch.de, husch.andreas@chl.lu
%% RUN this file once (F5) to automatically make sure... |
cb5622fff1e17670b3ce40f2e8204b0dffb0e7b07a5592a986b9054bdafa7ebf | MATLAB | 476 | 20 | function noisemap = normalize_noisemap(noisemap_filename, data_filename, mask_filename, bvalues_filename)
tmp = load_untouch_nii(noisemap_filename);
noisemap = double(tmp.img);
tmp = load_untouch_nii(mask_filename);
mask = double(tmp.img);
se = strel('cube',9);
mask = imerode(mask, se);
tmp = load_untouch_nii(data_f... |
4e0eceb605e9bbe3c02774a620f4333e04bdb883b8964a73e84fec967694d5fd | MATLAB | 478 | 14 | function disp( x, prefix, iname )
if nargin < 2, prefix = ''; end
if nargin < 3, iname = ''; end
nm = cvx_subs2str( x.name_ );
nm = nm(2:end);
if ~isequal( nm, iname ),
disp( [ prefix, 'cvx dual variable ', nm, ' (', type( x ), ')' ] );
else
disp( [ prefix, 'cvx dual variable (', type( x ), ')' ] );
end
% Copy... |
6d25a78456b0ef1a5604a0064b421541ec8670a9378bb518bb7a1def7e1f2754 | MATLAB | 478 | 20 | % Local Regression and Likelihood, Figure 2.5.
%
% Using different smoothing parameters.
load ethanol;
alp = [0.2 0.4 0.6 0.8];
f=['a','b','c','d'];
for (i=1:4)
figure('Name', sprintf( 'figure2_5%c: Smoothing parameters', f(i) ) );
fit = locfit(E,NOx,'alpha',alp(i));
res = residuals(fit);
fit2 = locfit(E,res,... |
cedeedfc2f3228ec23de2413781c72a592f03e5564c6c31c2341ae423cbff975 | MATLAB | 478 | 17 | function CBIG_plotSetup
% CBIG_plotSetup
%
% Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
set(0, 'DefaultAxesTickDir', 'out');
% Change default axes fonts.
set(0, 'DefaultAxesFontName', 'Arial');
set(0, 'DefaultAxesFontSize', 16);
% Change default text fonts.
set(0,... |
d94651b9a06a22fedf23d637fd061ee91a0ba77b70baf50bd6a7f8f480fec6b9 | MATLAB | 478 | 13 | %% polyval3 - evaluate an (independent component) polynomial in R3
%
% Andreas Husch
% Centre Hospitalier de Luxembourg, Dep. of Neurosurgery /
% University of Luxembourg - Luxembourg Centre for Systems Biomedicne
% 2014 - 2017
% mail@andreashusch.de, husch.andreas@chl.lu
function val = polyval3(polyCoeffs, evalAt)
... |
dd981d1d6ba48cf8b6c0dbeb4b6da5f5ffc862e3bbe793e0a80373df64d0f49b | MATLAB | 478 | 19 | function cvx_optval = quad_pos_over_lin( x, y, varargin ) %#ok
%QUAD_POS_OVER_LIN Internal cvx version.
narginchk(2,3);
if ~isreal( x ),
error( 'First input must be real.' );
end
x2 = [];
cvx_begin
variable x2( size(x) )
minimize quad_over_lin( x2, y, varargin{:} );
x2 >= x; %#ok
cvx_end
% Copyri... |
f8dab5f2b6eb6e84cf72a8096275b9a8a7f09a7cc55bb868f9729fcf3c8887b2 | MATLAB | 478 | 18 | function ea_add_trajectory(~,~,options,pobj,side)
d=load([options.root,options.patientname,filesep,'reconstruction',filesep,options.patientname,'_desc-reconstruction.mat']);
if ~exist('side', 'var')
if isfield(d.reco,'electrode')
side=length(d.reco.electrode)+1;
else
options=ea_detsides(options... |
9ac541602ed5cd94be2e9651a26dc7cfae5d05f832b10b86b57b2fab453d46fb | MATLAB | 480 | 15 | function signal_filtered = DeltaFilter(signal, Fs)
%% Takes 'signal' and bandpasses it for delta frequencies (2 to 4 Hz)
% Arguments
% signal - arbitrary signal to be filtered
% Fs - sample frequency (specific to your recording rig) ex. Mark's
% Neuralynx system has a sampling period of .000528, or 1893.9393... Hz
... |
e8594be2e3a880cea1f9d2ddfffa37f58b977c0da91182f2eee232e5b484668d | MATLAB | 480 | 14 | function pos_and_neg = ea_check_for_SSE_tracts(connectomeFolder,slider_names)
% check for which symptoms negative tracts were also exported
pos_and_neg = zeros(size(slider_names,2),1);
pathways_files = dir([connectomeFolder,filesep,'*.mat']);
for slider_i = 1:size(slider_names,2)
for pathway_i = 1:size(pathways_f... |
14c5610d0d287f0bd59522274a44ca2ba5fb3902758ca69ad3b68d0a6b31bdba | MATLAB | 482 | 18 | function z=scb(x,y,varargin)
% Simultaneous Confidence Bands
%
% Example:
% load ethanol;
% z = scb(E,NOx,'h',0.5);
%
% result (z) is a matrix with four columns: evaluation points,
% fitted values, lower confidence limit, upper confidence limit.
% Most locfit arguments should work.
fit = locfit(x,y,'ev','grid','m... |
2020dc03cde7a434e496393d606dbae4ddeba53081d7fde3179ccd718b55d0b3 | MATLAB | 482 | 19 | function [ varargout ] = nanInterp1( varargin )
%function [ varargout ] = nanInterp1( varargin )
% Detailed explanation goes here
import CMBHOME.Utils.*
varargin(cellfun(@isnumeric,varargin)) = cellfun(@nanInterp,varargin(cellfun(@isnumeric,varargin)),'UniformOutput',false);
varargout = cell(1,nargout);
[~,temp]=... |
a384df54a7eb0b4750dcab67ed820285d6365cb1cc6beb6c85f63042ba20d583 | MATLAB | 482 | 13 | function [ROI, names] = readRoiSet(filename, height, width)
[sROI, ROI] = ReadImageJROI_C(filename, [height, width]);
ROI = zeros(size(ROI));
[aa,bb] = meshgrid(1:height,1:width);
for i_roi = 1:size(ROI,3)
temp = inpolygon(bb(:),aa(:),sROI{i_roi}.mnCoordinates(:,1),sROI{i_roi}.mnCoordin... |
ff8968eb17695524fb02c503b992b858e9c80ccdd7b774b14973e78ec9276523 | MATLAB | 482 | 15 | function [n, ts] = plx_ts(filename, channel, unit)
import CMBHOME.PLX2Mat.*
% plx_ts(filename, channel, unit): Read spike timestamps from a .plx file
%
% [n, ts] = plx_ts(filename, channel, unit)
%
% INPUT:
% filename - if empty string, will use File Open dialog
% channel - 1-based channel number
% unit - unit n... |
1218660dd0f3ad40a01260ca77e85c38f21ece30df155f20e31de306ac50264c | MATLAB | 483 | 23 | function [ ] = UnityLine( varargin )
%Makes a unity line in a plot
%Options
% 'linetype'
% 'linecolor'
% 'negative'
%%
p = inputParser;
addParameter(p,'linetype',':')
addParameter(p,'linecolor','k')
parse(p,varargin{:})
linetype = p.Results.linetype;
linecolor = p.Results.linecolor;
%%
xrange = get(gca,'xlim');... |
4fbeeb5cb33d25a6ab9569c5fe83ccbdc588a9aa85612eb890962d2eef7b03bc | MATLAB | 483 | 18 | function elem=delendelem(elem,mask)
%
% elem=delendelem(elem,mask)
%
% delete elements whose nodes are all edge nodes
%
% author: Qianqian Fang, <q.fang at neu.edu>
% date: 2007/11/24
%
% input/output:
% elem: input/output, surface/volumetric element list
% mask: of length of node number, =0 for internal nod... |
5bedb9da91d630e7b3460ff127c4215b16301859a4742f40c1f10ec68dfcde9b | MATLAB | 483 | 14 | function varargout = LyE_R(varargin)
%LYE_R (deprecated) Use lye_r instead.
% LyE_R has been renamed to lye_r. This shim forwards every argument and
% output unchanged, so existing scripts keep working, and warns once per
% session.
%
% Silence with: warning('off','LyE_R:deprecated')
%
% See also LYE_R.
warn... |
8eae4d332e50a04ebde5519c8791152db108a557344a66192533e4c166eed423 | MATLAB | 483 | 20 | function cwt = loadCwtOneChannelCrop_(filePath, trialIdx, fIdx, tIdx, useSingle)
% Return: nTrialSelected x 1 x nFreqSelected x nTimeSelected
if islogical(trialIdx)
trialIdx = find(trialIdx);
end
m = matfile(filePath);
info = whos(m, "cwtres");
if max(trialIdx) > info.size(1)
erro... |
bdf24823617591b80f87509f3208fbc4fa99adc6e7d7bfda3d54d8716b47c196 | MATLAB | 483 | 14 | function varargout = LyE_W(varargin)
%LYE_W (deprecated) Use lye_w instead.
% LyE_W has been renamed to lye_w. This shim forwards every argument and
% output unchanged, so existing scripts keep working, and warns once per
% session.
%
% Silence with: warning('off','LyE_W:deprecated')
%
% See also LYE_W.
warn... |
c08bef02c9a8cad83ffefe01469bc31ea72f92a7e87086d618ab625d6dae09f8 | MATLAB | 484 | 29 | function data = data_IFNAGRKO_raw()
% TOTAL NSC COUNTS (FACS)
data.NSC.times = [60 180 660];
data.NSC.raw = {
% 60 days
[584, 691, 1022.5, 601.5, 378, 494, 383, 393], ...
% 180 days
[178, 255, 113], ...
% 660 days
[119, 162, 196]
};
% FRACTION OF ACTIVE NSCs (IHC)
data.fr... |
0e541534cf2a066e9ca436dfd92ce08db13c1fd9170e37a09162ea60b97a8805 | MATLAB | 486 | 18 | function folder = layoutRoot()
%layoutRoot Folder containing the GUI Layout Toolbox
%
% folder = layoutRoot() returns the full path to the folder containing
% the GUI Layout Toolbox.
%
% Examples:
% >> folder = layoutRoot()
% folder = 'C:\tools\layouts2\layout'
%
% See also: layoutVersion
% Copyright 200... |
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