sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
45b16ea3634e9aa361cb262d5d1f1b17eef28242a297064b50df6b7c8aeb59ea | MATLAB | 652 | 22 | function SIG=mour_Psig_v1(input,CaCBVTime)
% input=[LgFlow,LgLambda,delay]; Ca->AIF+CBV+time
log_F=input(1); LgLambda=input(2); delay=input(3);
estCBV=CaCBVTime(1,end);
t=CaCBVTime(2,1:length(CaCBVTime)-1);
Ca=CaCBVTime(1,1:length(CaCBVTime)-1);
Sig0=CaCBVTime(3,1); k=CaCBVTime(3,2); TE=CaCBVTime(3,3);
% F(F<0)=0;
... |
645705a46fdf59822d511e0dd594652833cb0e52ab08b1ad07c91d129d79fa07 | MATLAB | 652 | 32 | function y = contrast2(x,varargin)
%
% y = contrast(x)
% makes values of matrix y lying in the range [0 1] from the input matrix x
%
% y = contrast(x,maxVal,minVal)
% makes values of y lying in the range [minVal maxVal]. Any value outside
% those boundaries will be set to boundary value
%
% Adrien Peyrache 2012
if ... |
a9450380db3c222decae4ebe0eb47c6b30026c3fc1541120f90203d70692d1cf | MATLAB | 652 | 19 | function startup_MVPA_Light
% Adds MVPA-Light and its subfolders to the MATLAB path
MVPA_path = fileparts(fileparts(mfilename('fullpath')));
addpath(MVPA_path);
addpath(fullfile(MVPA_path,'examples'));
addpath(fullfile(MVPA_path,'external'));
addpath(fullfile(MVPA_path,'kernel'));
addpath(fullfile(MVPA_path,'model'))... |
8355506fd8ade1c2e1bc7a6b44a9daf1210076c3e34b10bd1d3bf7727f816d4f | MATLAB | 653 | 20 | function wave_clus_GUI_quick_open_211004(folder_address)
% This function opens the times files in the Wave Clus GUI for manual
% fixing of clusters. Upon closing the Wave Clus GUI this function will
% open a the next times files specified in folder_address. The input
% folder_address should be a string or char vector p... |
4e8bb718adcfb27031eb4d0289cd229a5994825456f100450dd074a6bbb22250 | MATLAB | 654 | 26 | function [M, SM, B, center, R] = PETH(X, Y)
binsize = 40 * 10;
nbins = 160 + 1;
M = zeros(nbins, 1);
SM = zeros(nbins, 1);
B = -(nbins - 1) * binsize / 2: binsize: (nbins - 1) * binsize / 2;
B = B / 10;
R = zeros(nbins, length(Y));
for i = 1: length(Y)
edges = Y(i)- nbins * binsize / 2: binsize : Y(i) + nbins * ... |
769075c15637e94970d2910382cae0db90aae24075ccde5740ce85f48fa829c3 | MATLAB | 654 | 30 | function dat = octFromTifCash(filePath, yI)
%This fuction returns an OCT plane but reads it slowly from cash
persistent gFilePath;
persistent gCashData;
%% Make sure cash is up to date
if isempty(gFilePath) || ~strcmp(filePath,gFilePath)
% Time to clear cash
gCashData = {};
gFilePath = filePath;... |
e94b52c336a322f7d65a4f079e1bf22d531061db47d0b803fc115a673934cf1e | MATLAB | 654 | 23 | function setupParpolOCTPreprocess()
%Setup parallel pool, attach everything we need
p=gcp('nocreate');
if ~isempty(p)
%kill prev parpool before starting this one if it has SpmdEnabled flag
if (p.SpmdEnabled)
delete(p);
end
end
if isempty(p)
%Parpool didnt start yet, start it
p... |
0e5d659e72bb12597ae45cefe3f55a34697b1580a6f05a3b05359c3c376490c4 | MATLAB | 655 | 30 | function matrix_math(x,Ylabel,pic_size,output_path)
x = x([(size(x,1):-1:1)],:);
x = [x zeros(size(x,1),1)];
x = [x;zeros(1,size(x,2))];
figure;
m=pcolor(x);
m.LineWidth = 3;
J = customcolormap(linspace(0,1,2), {'#000000','#ffffff'});
h=colormap(J);
l=colorbar('southoutside','FontSize',15,'Box','on','LineWidth',1... |
a1ae850f3ed36880ed4c8267e38c2e763538710671d29a048aaa0d8731ca5078 | MATLAB | 655 | 20 | function tracks_out = ApplyMaxAngleDeviation(tracks_in,max_angle_dev)
tracks_out = tracks_in;
a = unique(tracks_in(:,4));
for i = 1:length(a)
b = tracks_in(tracks_in(:,4) == a(i),[1,2]);
c = nan;
for j = 2:size(b,1)-1
p1 = b(j - 1,:);
p2 = b(j,:);
... |
e46ba35817d35491e53e5fe3abc506823edacb73cbe630a2fa9ad6242bd8d528 | MATLAB | 655 | 20 | function [new_idx] = exclude(idx, N)
% function [new_idx] = exclude(idx, N)
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the GPL. See http://www.csbmb.princeton.edu/mvpa for more
% information.
%
% The Princeton MVPA... |
b0d37bf57209c3c546d416f6082a93d08235be94ca4b2d4059ba869fac7f970b | MATLAB | 656 | 21 | function [dirmap,exy,jxy] = anaskel(wsk);
% Performs some analysis on the skeleton provided,
% which should be thinned to a single pixel width.
%
% dirmap returns a cell array with masks of the skeleton
% pixels that are north, northeast, east, and southeast
% or opposite.
%
% exy and jxy return the pixel coo... |
0d1daed2811e831e05b3914c7efc202efe57c5397ed7cbedf1cc7c5644247677 | MATLAB | 657 | 28 | % allS is trials x 1. doubles
% stim.state is
function [movieList] = updateMovieListStates(movieList,rejTrOp,stim)
movieList(:,7) = ones(1,size(movieList,1));
if rejTrOp
numStimClasses = length(stim);
for stimClassI = 1:numStimClasses
thisStimClass = stim(s... |
8d0f6a5d13d2a98e72a505d548b2eaa61fd1696b8a7f8aade03cf5624c4ad2b2 | MATLAB | 657 | 36 | function S = End(O, TimeUnits)
% Ending time of the intervalSet object
%
% USAGE:
% S = End(O, TimeUnits)
%
% INPUTS:
% O - a ts object
% TimeUnits - a units object or the abbreviation string
% copyright (c) 2004 Francesco P. Battaglia
% This software is released under the GNU GPL
% www.gnu.org/copyl... |
c7ad7bfca541713942d9ab49af0a7cd370f9af24428a27a46e18affeef618338 | MATLAB | 657 | 26 |
function [mod_val,fit_val]= plot_sel_fit(mod,fit,flag,num)
%% Plot Sel Fit
n_fit=sum(sum(fit));
n_mod=sum(sum(mod));
cnt=1;
for iRow=1:5
for iCol=1:5
hold on
if (flag(iRow,iCol)==0)
figure(num)
scatter(log(mod(iRow,iCol).... |
f7fef3b16a334a2cc0fce7bcb2d7803940879b04d2da7e5a1f1ac7e0d433a493 | MATLAB | 658 | 17 | function [AFR_vec, time_vec] = compute_AFR_200722 (peak_train, bin_s, fs)
% Computes Average firing rate from the peak_train vector given by
% spike_train within time-bin of width bin_s (sec)
binsample = bin_s*fs; % bin [# of samples]
bin_num = floor(length(peak_train)/binsample);
len_s = length(peak_... |
9729fabdad8c8cd6b5f8992ab7c8908633ab03c30cde29eabcd2cdde3a1d1e23 | MATLAB | 659 | 23 | function ave_accuracy = trainAndTestClassifier...
(classifierType,response,labels,crossValSets,PD)
kFold = size(crossValSets,1);
accuracy = nan(kFold,1);
for k = 1:kFold
training_set = response(:,crossValSets{k,2});
training_labels = labels(crossValSets{k,2});
test_set = response(:,crossValSets{k,1});... |
ab0b682746eb8d9743d09aab2f84febfc4d42f2ce296a30c9fc8750abe129e35 | MATLAB | 659 | 38 | function pv=plot_SignificantMark(X1,X2,Y,Txt_dist,pVal)
%plot_pValLine
pv=plot([X1 X2],[Y Y],'k','linewidth',2); hold on;
th=.03;
% th=.015;
ns=0;
p=pVal;
if p>.05
ns=1;
mark='n.s.';
Txt_dist=Txt_dist*.8;
th=th*11;
elseif p<=.05 & p>.01
mark='*';
th=th*4;
Txt_dist=Txt_... |
44ae86f03205ec9012534b33c4e53ce06e2c44f46348626ab3539b32aec33ffe | MATLAB | 660 | 22 | function [y] = cellcolselect(x, cols)
% [Y] = CELLCOLSELECT(X, COLS) outputs cell-array Y with the same dimensionality as X
% Each cell in Y only contains the columns COLS from the original corresponding cell in X
%
% X (and Y) should be linear cell-array(s) of matrices for which the number of rows
% should be the s... |
71c1e69f3816683cc9aabc21e810ec1e819dab0b5a3cfe396992ef0ba5222798 | MATLAB | 660 | 34 | % MYDETREND remove DC and detrend columns of a matrix/3D array
%
% Y = mydetrend( Y, dflag )
%
% dflag {1}; dc removal flag (if off, only detrends)
% 28-mar-11 ES
% revisions
% 28-apr-11 fast matrix implementation
% 03-sep-13 dflag added
function Y = mydetrend( Y, dflag )
[ M N ] = size( Y );
if nargin ... |
976615e36de68025eec36bab43f9ab10f6cc35b149ae0fc7d0adb57ec1417d19 | MATLAB | 661 | 27 | function out = sampleParameters(mstruct,nSamples,option)
out = [];
if strcmp(option,'empprior')
display('sampling from empirical priors...')
for i = 1:nSamples
draw = mstruct.samplehandle_empprior(1);
while any(draw>mstruct.ub) || any(draw<mstruct.lb)
draw = mstruct.sa... |
30a1f115d42005e71de65a73d3f24c272cd5579ff74dc39d9fdc068a7cc3f84f | MATLAB | 662 | 23 | function y_pred = test_kernel_ridge(model, X)
% Applies an kernel ridge regression model to test data and outputs
% predicted responses.
%
% Usage:
% y_hat = test_kernel_ridge(model, X)
%
%Parameters:
% model - struct describing the regression model obtained from training
% data.
% X ... |
89955dcbb8cda2af90f242546b77aeb0e81544659ddcd03ebe78cff2cdcc4b7f | MATLAB | 664 | 24 | % Test Significance of Linear Regression Model of firing rate vs.
% grid3score.
% A small p-value indicates that the model fits significantly better than a
% degenerate model consisting of only an intercept term.
% This is a linear hypothesis test on linear regression model coefficients.
% reference: https://www.mathw... |
90c6c215f1eb34f86e23d7e37d1ee53b63e2303b9d0b7cfa531174d79eb9ddd6 | MATLAB | 664 | 24 | function line_pre_post(pre,post,doc_color,mean_color,Ylim_range,YTick,YTicklabel, XTicklabel, pic_title,y_label, output_path)
data_mean = [mean(pre) mean(post)];
data = [pre post];
% pics for dis
c=plot(data','LineWidth',3,'Color',doc_color) ;
hold on
d=plot(data_mean','LineWidth',4,'Color',mean_color) ;
set(gca,'YLi... |
d911d2e698b518d88993d6e011ff65eb77c647e5d6d8b4d8a25857aa1015f88d | MATLAB | 664 | 32 | function [d] = lbfgsProd(g,S,Y,YS,lbfgs_start,lbfgs_end,Hdiag)
% BFGS Search Direction
%
% This function returns the (L-BFGS) approximate inverse Hessian,
% multiplied by the negative gradient
% Set up indexing
[nVars,maxCorrections] = size(S);
if lbfgs_start == 1
ind = 1:lbfgs_end;
nCor = lbfgs_end-lbfgs_start+1;
e... |
3efef25ce10b603f6208a6ea9782a60aee6c6f3dcc8070db083b541d66fe47a1 | MATLAB | 665 | 23 | function cca_mode_scatter(x,y,Xlabel1,Ylabel1,output_path)
figure('position',[100,100,430,420],'PaperPositionMode','auto')
scatter(x, y, 120, 'MarkerEdgeColor','k','MarkerFaceColor',[217,237,232]./255,'LineWidth',1.5);
hold on
set(gca,'FontSize',25);
set(gca,'LineWidth',4);
xlabel(Xlabel1);
ylabel(Ylabel1);
xticks([-3... |
76be77433212c2b84166665a98b1c3987688c0ae97f33a7f98a70a5351475824 | MATLAB | 665 | 22 | %%
addpath(genpath('.\functions\'))
%% generate KSD and PSTHs from spike times
createKSDs; % trial-averaged KSD (for PCA) and individual-trial KSD for model
createPSTHs; % PSTHs for display and PCA
%% perform diff PCA
performDiffPCA; % perform diff PCA with different inputs
%% Model
% simulate response latencies w... |
c4b574a64d55b3f499b6fed872142d9d9d6aa935f67cfc9cb21da61148dc97fb | MATLAB | 665 | 25 | function net = mdnunpak(net, w)
%MDNUNPAK Separates weights vector into weight and bias matrices.
%
% Description
% NET = MDNUNPAK(NET, W) takes an mdn network data structure NET and a
% weight vector W, and returns a network data structure identical to
% the input network, except that the weights in the MLP sub-stru... |
0b57da25c2841c94a7043a2698f481746fcb097455bf9af9d4d9785d00d89447 | MATLAB | 667 | 21 | function msBatchSegmentCentroids( dirName )
%MSBATCHSEGMENTCENTROIDS Summary of this function goes here
% Detailed explanation goes here
dataFolders = msBatchFindDataFolders(dirName,[]);
for folderNum = 1:length(dataFolders)
currentFolder = dataFolders{folderNum};
temp = load([currentFolder '... |
eb6ce7ab97371ca0f9353922424883934929736908af5ef6c139431612ec4aa6 | MATLAB | 667 | 38 | function T1 = EndTime(tsa, tsflag)
% Returns last timestamp
%
% USAGE:
% T1 = EndTime(tsa, tsflag)
%
% OPTIONS:
% tsflag - if 'ts' returns time in timestamps (default),
% if 'sec' returns time in sec
% if 'ms' returns time in ms
% ADR 1998
% version L4.0
% status PROMOTED
T1 = tsa.t(end);
unit... |
60b76b2f079ca1cb523fe1b06b40e4e6bf75757dcd7cf308762cd4fefc2be40f | MATLAB | 668 | 29 | function p = TimeExcludeRanges(tInc,t)
p=[];
mdiff = diff(tInc);
tidx1 = find(mdiff==-1);
tidx2 = find(mdiff==1);
% If excluded time points are at the extremes of the time range,
% then add inflections at the beginning or end.
if tInc(1)==0
tidx1 = [1;tidx1];
end
if tInc(end)==0
tidx2 = [tidx2;length(tInc)];... |
83b6eab7daadcc81d32537bfec933b3825a4abbb3d86d6d9bdaa80f856804654 | MATLAB | 670 | 29 | %% 22-7-2017 Steady state SGPR for MT
function Mss = ssSPGR_MT(theta,b1sqrdtau, TR, T1x,f,ka,G)
M0b = f;
M0a = (1-f);
kb = ka * M0a/M0b;
R1a = 1/T1x(1);
R1b = 1/T1x(2);
%%% Relaxation-exchange matrix for Longitudinal components
Lambda_L = [[-R1a-ka kb];[ka -R1b-kb]];
Xi_L = expm(TR*Lambda_L);
% For inh... |
338031f57feaba5fa887f7111de28250ed3fb04be2429adbb566475a760d6c12 | MATLAB | 671 | 31 | function r = MD_multrnd(p,N)
% _
% Random Numbers from the Multinomial Distribution
% FORMAT r = MD_multrnd(p,N)
%
% p - a 1 x K vector with multinomial probabilities
% N - an integer specifying the number of samples
%
% r - an N x 1 vector with multinomial random numbers
%
% Author: Joram Soch, BCCN Be... |
8c37d8e8094640be28f60873f87051235a4de37dff9cb463f5056abedad2826c | MATLAB | 671 | 28 | function Residual=MRes(CBV,F,LgLambda,t)
% Mouridsen Residual Function (2006, Neuroimage);
% it is a gamma cumulative distribution function from t>Inf
% typical values: CBV=2; CBF=10; Lglambda=0; t=0:99;
% CBV=2; CBF=10;Lglambda=4.65;t=0:99;
lambda=exp(LgLambda);
CBF=F;
alfa=lambda; beta=CBV./(lambda*CBF);
for i1=1:... |
947decc47b5d0dca68c279f4262ff4437e1a68c3546b335aacbf4d10cb0a3149 | MATLAB | 674 | 36 | function [nll,g,H,T] = LogisticLoss(w,X,y)
% w(feature,1)
% X(instance,feature)
% y(instance,1)
[n,p] = size(X);
Xw = X*w;
yXw = y.*Xw;
nll = sum(mylogsumexp([zeros(n,1) -yXw]));
if nargout > 1
if nargout > 2
sig = 1./(1+exp(-yXw));
g = -X.'*(y.*(1-sig));
else
%g = -X.'*(y./(1+exp(yX... |
a5d5d36256273bb18cbd81eea4c884dded6d1bd11273536c2ab3522d7d42ffb2 | MATLAB | 679 | 27 | function Snirf2Nirs(rootdir, options)
if ~exist('rootdir','var')
rootdir = pwd;
end
if ~exist('options','var')
options = 'sort';
end
rootdir = filesepStandard(rootdir);
files = DataFilesClass(rootdir, 'snirf');
files = files.files;
for ii = 1:length(files)
if files(ii).IsDir()
continue
end
f... |
02d2eb3203033c1da162c59519a92d2d814868cb1c0917bb9aa7ff974424ee0f | MATLAB | 680 | 30 | function [gap, res, fmt] = detGap(actigraphy, epoch)
%DETGAP detection gap
%
% GAP = DETGAP(ACTIGRAPHY, EPOCH) detects gaps in ACTIGRAPHY with epoch
% length EPOCH second
%
% $Author: Peng Li
%
minDuration = 60 / epoch * 60 * 2;
gapseries = actigraphy <= 0;
if any(gapseries)
gap = ... |
4d98bc8c4a3f59c315b355a22ea8231e059d95c56064608de8c51bf5f56c46be | MATLAB | 680 | 34 | % y = Filter0(b, x)
%
% filters x with a fir filter so it has zero phase, i.e. shifts the
% filtered signal to the right half of the length of b.
%
% for now it zero pads the original signal
% later it might also do reflecton boundary conditions.
%
% be careful about the order of b!
% for even filters it is not exact ... |
e4968303fe8242e63155c18472daf691082b6cf06402f3d02f585bb29284f7bf | MATLAB | 680 | 24 | const char * UnityAdsCopyString(const char * string) {
char * copy = (char *)malloc(strlen(string) + 1);
strcpy(copy, string);
return copy;
}
/**
* Returns the size of an Il2CppString
*/
size_t Il2CppStringLen(const ushort* str) {
const ushort* start = str;
while (*str) ++str;
return str - st... |
273278c3784a872c3fb3dc212f7a17ea2f7dcc0fdb71f5fa7276d2b9acebc5bf | MATLAB | 681 | 26 | function [y] = cellvecmult(x, v)
% [Y]= CELLVECMULT(X, V) - multiply vectors in cell-array V
% to all rows or columns of each matrix in cell-array X
% V can be a vector or a cell-array of vectors
nx = size(x);
if ~iscell(x) || length(nx)>2 || all(nx>1)
error('incorrect input for cellvecmult');
end
if ~iscell(v)
... |
da136e88fd93ec92ff50fffaf407d2760fd7d37e2dbd0d8c5f20ec1b42539c4c | MATLAB | 683 | 28 | function bool = CheckTS(varargin)
% bool = [c]tsd/CheckTS(X0, X1, X2, ...)
%
% checks to make sure that all timestamps are identical for all tsds included.
% works with combinations of ctsd and tsd
% ADR 1998
% version L4.0
% status: PROMOTED
adrlib;
R0 = Range(varargin{1},'ts');
for iX = 2:length(varargin)
R1 =... |
710ac2748145d9533d226702326d669aedefb0f5356cf5bf1dcc3d587e6b1b54 | MATLAB | 684 | 27 | function mags = gtmmag(net, latent_data)
%GTMMAG Magnification factors for a GTM
%
% Description
% MAGS = GTMMAG(NET, LATENTDATA) takes a GTM structure NET, and
% computes the magnification factors for each point the latent space
% contained in LATENTDATA.
%
% See also
% GTM, GTMPOST, GTMLMEAN
%
% Copyright (c) Ian T... |
332db7f98c48591d6a0c1c86e35506cffdb744b926fd124062cf994aaff5671e | MATLAB | 685 | 21 | function [tracks,keepTracks] = initializeTracks()
% create an empty array of tracks
tracks = struct(...
'id', {}, ...
'bbox', {}, ...
'kalmanFilter', {}, ...
'age', {}, ...
'totalVisibleCount', {}, ...
'consecutiveInvisibleCount... |
5b24f0d2c55fc0dce242360d99746ae42e822e9d620ffe1322958f469449023c | MATLAB | 685 | 22 | function [] = dispf(varargin)
% Like calling disp(sprintf(X)), or fprintf('...\n')
%
% function [] = dispf(...)
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the GPL. See http://www.csbmb.princeton.edu/mvpa ... |
9ce1885b3901f529e39196a35f9fc3358b4162def8eaac3cb82e270c45c69a59 | MATLAB | 685 | 26 | function [fpath,fname,suffix,fext] = tdt_fileparts(fullfname)
% This function is like fileparts, but with a third output suffix which is
% important for AFNI (e.g. +orig). If no + exists in the filename, suffix
% will be empty.
% Martin Hebart 16/07/06
% History:
% 2017-02-05: replaced strsplit with regexp for downw... |
00393604f2b4ba69334e383c2b2bccb13b7d0fbe70504c839ed946ad929f952a | MATLAB | 686 | 26 | function [post, a] = gtmpost(net, data)
%GTMPOST Latent space responsibility for data in a GTM.
%
% Description
% POST = GTMPOST(NET, DATA) takes a GTM structure NET, and computes
% the responsibility at each latent space sample point NET.X for each
% data point in DATA.
%
% [POST, A] = GTMPOST(NET, DATA) also return... |
0e040e45498dfd0887b9708571e1fa5cc7ed07e0238560b9191836c1b01bdcf4 | MATLAB | 686 | 27 | prompt='Enter path: '
path=input(prompt,'s');
path=strcat(path,'\')
prompt='Enter filename: '
filename=input(prompt,'s');
file=strcat(path,filename);
[header,Aout,imgInfo,rawStream] = scanimage.util.opentif(file);
%frameTimestamps_sec=header.frameTimestamps_sec;
starttime=string(datetime(header.epoch{... |
999194afe9682523dd5e3617e914d8869d7d05cdb6a9498ed28fa1bf9eddd105 | MATLAB | 686 | 22 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Authors : CHATENET Louis
% Date : 24/05/2018
% Version : V1.0
%
% Description : AMPA current calculation
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Isyn, r, T] = IsynAMPA(dt, Vpre, Vpost, rpre)
... |
0c027757c049d58a9303a6792ccf06f771bb71089afc230febf8ca5695d44aca | MATLAB | 687 | 36 | function s = vertcat(a, b, varargin);
% Vertical concatenation of TS objects (overload of the [a; b] operator)
%
% USAGE:
%
% s = vertcat(a, b)
%
% INPUTS:
%
% a, b (and eventually as many other ts as needed): TS objects
%
% OUTPUTS:
%
% s: the concatenated TS object
%
% copyright (c) 2004 Francesco P. Battag... |
9da95369954913c96ffa516940c4ad465a3d423e80ddf8373c9c176674e08d45 | MATLAB | 687 | 31 | function [n,J] = dyadlength(x)
% dyadlength -- Find length and dyadic length of array
% Usage
% [n,J] = dyadlength(x)
% Inputs
% x array of length n = 2^J (hopefully)
% Outputs
% n length(x)
% J least power of two greater than n
%
% Side Effects
% A warning is issued if n is not a power of 2... |
335b326d0060958141a09fe323823b0752757e38d2241a13d17dbe780e74d147 | MATLAB | 688 | 38 | function pf = sx_fx_perf_ftr(Feature,data)
%%%% a simple function to compute conjunction (mixed) and per-fearture
%%%% performance (i.e. probability correct)
global data
ProbCorr=[];
for i=1:size(data,1)
OS=data(i,1);
CS=data(i,2);
Tru_C=data(i,3);
Sb_C=data(i,4);
rew_t=data(i,end)... |
8b729ade7278b57b9a77a36a40471eae71f997b799ea6a7fa44c2c5f7dbe54fd | MATLAB | 688 | 19 | function out = RenormalizeImageStacks(input, varargin)
input = double(input);
[l, w] = size(input);
if isempty(varargin)
minMat = min(min(input, [], 1), [], 2);
maxMat = max(max(input, [], 1), [], 2);
out = (input - repmat(minMat, [l, w, 1]))./(repmat(maxMat - minMat, [l, w, 1]));
else
minMat = zeros(1,... |
aa951177872eadc77341f79765a737383e1f010818a97a1fe445dd884f7c0dc6 | MATLAB | 688 | 28 | function tsa = ts(t, varargin)
% Constructor of TS object
% A TS object represents a time series of events. It is a subclass of tsd, with empty Data, reimplements only the Data
% function, for compatibility issues.
%
% USAGE
% ts = ts(t)
%
% INPUTS:
% t: a sorted (in ascending order) vertical vector of timesta... |
3d5fa2b2123d3278ce7acd5b396567155bb221a416f6919c810718e0a806a45d | MATLAB | 689 | 26 | function [cellx_spchecked] = check_spiking(binActivity,CellDif,explap,ObjBin)
%CHECK_SPIKING ´Ë´¦ÏÔʾÓйش˺¯ÊýµÄÕªÒª
% ´Ë´¦ÏÔʾÏêϸ˵Ã÷
neuronBinLapS = binActivity.neuronBinLapS;
neuronBinL = CellDif.neuronBinL;
cellX1 = CellDif.cellXid;
n1 = numel(explap.explap1);
cellx_spchecked = [];
for j = 1:numel(ce... |
d120203f0f5e8af8ca39885bd3124260bd2afd185300910e245185002b1fa4ef | MATLAB | 689 | 20 | %Calculates significance value using repeated shuffling of trials.
%2024/02/25
function p_value=pval_randomshuffle(two_col_vector,num_shuffles)
x=0;
for i=1:num_shuffles %for number of shufflings
%randomize trials conditions
temp=two_col_vector(:);
temp=temp(randperm(length(temp)));
... |
b5288aa3780bed5e7520b95bc83181337c565609e828c6d54496c7ba0c7edbbc | MATLAB | 690 | 31 | function awsSetRegion(newRegion, level)
%This function sets the active region used by AWS
%For the meaning of levels see awsSetCredentials
if ~exist('level','var')
level = 0;
end
%Set environment varible
setenv('AWS_REGION', newRegion);
if (level > 0)
%Set for CLI
%Create a temporary f... |
c096cf326d54d26775cda18189dea24cb6bc4a5e93213f24f6d7efb35df5f38f | MATLAB | 690 | 32 | % firFreqs frequencies from fir filter
% 04-apr-13 ES
function freqs = firFreqs( hBP, Fs )
if isa( hBP, 'numeric' )
hBP{ 1 } = hBP;
end
nfBins = length( hBP );
T = zeros( nfBins, 1 );
for i = 1 : nfBins
ah = abs( hBP{ i } );
minval = max( ah ) / 2;
iStart = max( find( ah > minval, 1, 'first'... |
6b0e15254d2b1b1b10307b06592755b15a7ae2960594c92e9cd7941e4770ba96 | MATLAB | 691 | 19 | function compareOutputs_subjs(group_h2, group_h3, type)
prec = -10;
if isempty(group_h2) || isempty(group_h3)
return;
end
for qq=1:length(group_h3.group.subjs)
yavg_h2 = eval( sprintf('group_h2.group.subjs(qq).procResult.%s;', type) );
yavg_h3 = eval( sprintf('group_h3.group.subjs(qq).procStream.output.%s;... |
0e0e6d2d45cc75ad8840f1c0f24ed08103f197d5f88d8c1d893a1e60363b278e | MATLAB | 692 | 36 | function [errmsgs warnmsgs] = unit_volumize_pattern()
% Tests VOLUMIZE_PATTERN
%
% [ERRMSGS WARNMSGS] = UNIT_VOLUMIZE_PATTERN()
%
% Assumes you've run the confirm_number_of_voxels
% function built in to volumize_pattern
errmsgs = {};
warnmsgs = {};
nVox = 10;
nTimepoints = 20;
pat = rand(nVox,nTimepoints);
vol_len... |
6bc17a8605bc7055d0095d54aeae4b644d53137fa45808625a6c970fd305e9a5 | MATLAB | 692 | 19 | % output = transres_other_meandist(decoding_out, varargin)
%
% This function averages other output that was generated across decoding
% steps (in the field decoding_out.opt), but works only if this other
% output is numerical. This is useful if you have a similarity matrix per
% cross-validation step and want to avera... |
82995130978b293be119a1c35c3d682114effd55bf23b94529f4f3efe9661c0b | MATLAB | 692 | 29 | function [data,dim] = yOCTFromMat (filepath)
%This function loads a mat file if it is in the cloud or on local
%directory. Opposit of yOCT2Mat
%OUTPUTS:
% data - data saved from tif
% dim - dimention structure, if present as meta data
%% Do we need AWS?
if (awsIsAWSPath(filepath))
%Load Data from AWS
... |
f1be12172af4a83195c98b9229e40826d207c6e1931e00b999f0d847091b3d58 | MATLAB | 692 | 24 | function r_i = computeFRatEtaEpsVal(eta_val, eps_val, J_i)
n_neur = length(J_i);
% J_i = randn(n_neur, 1);
prob_s_fun = @(h, J1) 1./(1 + exp(eta_val*J1*h + eps_val));
%% Compute, for fixed eta, epsilon, J, h_MLE and SE_h_MLE as h_true varies.
% fixed parameters
% h_true_vals = linspa... |
8949c4fc1a24515629cdf49af6432ef913c78eac2dc526e9a48cf33ffa44eba9 | MATLAB | 695 | 18 | function b_pdf = binopdf_approx(n, T, p)
% shape variables
rep_n = repmat(reshape(n, numel(n), 1), 1, numel(p));
rep_p = repmat(reshape(p, 1, numel(p)), numel(n), 1);
b_pdf = 0*rep_p;
% condition for normal approximation to be good
n_a_inds = rep_n > 9*(1 - rep_p)./rep_p & rep_n > 9*(rep_p... |
95b4ecb32f2b60e01ccf8608a5ee8f13b812f59b5c78b9526723ffae14768f15 | MATLAB | 697 | 18 | % This file is part of the Matlab Toolbox for Dimensionality Reduction v0.7.2b.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code in any way you
% want for non-commercial purposes. However, it is appreciated if you
% maintain the name of th... |
d314c55953222b18741f15dce15dfe6b8d9b7463fe177aff4c42abbb3bb9e94d | MATLAB | 697 | 23 | function [allTracks,fileName,obj] = motionTracking(MinSize,MaxSize,bkgProb,MotionThresh,vid,roi)
obj = setupSystemObjects(MinSize,MaxSize,bkgProb,vid);
fileName = obj.reader.Name;
[tracks,keepTracks] = initializeTracks(); % Create an empty array of tracks.
nextId = 1; % ID of the next track
% Detect moving objects, and... |
8da181513670f69a40e312b96a7b5fb1abe36ae7c55d0c85de23f8c9e492591c | MATLAB | 698 | 24 | function [roi_data, roi_mask] = load_fmri(sub_id, p)
roi_data = [];
roi_mask = [];
% Load fMRI data
sub_str = num2str(sub_id,'%02i');
data_dir = fullfile(p.dirs.data, 'analysis', ['sub-' sub_str], 'fmri');
data_file = fullfile(data_dir, ['fmri_' p.psvr.roi '.mat']);
if exist(data_file, 'file')
% Load ROI data
... |
f930c48c128a834ca6dda06d7163beb26539800ec3ced07384939e146d4c17af | MATLAB | 698 | 23 | function varargout = read_image(software,varargin)
% function varargout = read_image(software,varargin)
% IN
% software: String with software to read header in cfg.software (e.g. 'SPM8')
% varargin: header (struct variable generated with read_header) and
% potentially more
%
% OUT
% im... |
e31a0a291a34c96c72f7be775ae989e3d357f1898828e611e7df0b6d49a57ca5 | MATLAB | 699 | 26 | function [v,V]=tangvelocity(A,sigma)
% TANGVELOCITY: calculates the tangential velocity from position data
% Synopsis
% [v,V]=tangvelocity(A,sigma)
% Description
% A is a two (x,y) or three-column (x,y,z) matrix of position data
% if sigma is given, the data will be smoothed with
% a gaussian kernel (SD=sigma)
% ... |
2ba0e042cb38fee81c28e0ca5528caeed81d4e38f5c804c6947dbe4a8228e5ec | MATLAB | 700 | 20 | function varargout = read_image_spm12(varargin)
% read_image:
% input: header (struct variable generated with read_header)
% output: image in neurological space (left = left, view from top)
hdr = varargin{1};
if nargin >= 2 % if subvolumes in 4D file should be selected
if any(varargin{2}>s... |
8e6cefaeda621c9431a90e606cb316ba36502d65ae7624135456d62bb15f4dda | MATLAB | 700 | 20 | function varargout = read_image_spm8b(varargin)
% read_image:
% input: header (struct variable generated with read_header)
% output: image in neurological space (left = left, view from top)
hdr = varargin{1};
if nargin >= 2 % if subvolumes in 4D file should be selected
if any(varargin{2}>s... |
b10d58e4b8a62bbd49b281a2739b91e523f4523dc8982622c1298c05a3b6b61f | MATLAB | 700 | 24 | function [Idx, minid] = kmeancluster(X, distType)
if nargin == 1
distType = 'sqeuclidean';
end
nIter = 20;
nX = size(X, 1);
nd = size(X, 2);
maxk = round(sqrt(nX)*10);
maxk = min([maxk 200]);
kranges = 1:1:maxk;
for k = 1:length(kranges)
[idx, C, sumd] = kmeans(X, kranges(k), 'Distance', distType, 'R... |
34bbe1369b571e216e914a3f297f90963b840165358e8521b76f92563fb5c1de | MATLAB | 701 | 24 | function [r,p_val] = NB_corr_with_prev_outcome...
(data,raster_params,directions,ind)
spikes =[];
RTs =[];
boolFail = [data.trials.fail] | ~[data.trials.previous_completed];
boolFail(1) = true;
[~,match_d] = getDirections (data);
% substract RT average in direction to reduce directional variance
for d = 1:length(... |
c58ed0dda892d619f08a12fd4b2d5808c37ec6bc5bfd39998bdb7f473a4d2b0c | MATLAB | 701 | 30 | function [x, Y, E] = fss_sim_generate_data(v, t)
% 1. Generate labels
x = MD_unirnd(0, 2*pi, t);
% 2. Generate data
L = gamrnd(2,2,[1 v]); % tuning smoothness
prec = 1; % prediction precision
x0 = [(prec/180)*pi:(prec/180)*pi:2*pi]';
Yt = zeros(numel(x0),v);
for i = 1:v
K0 = ME_GPR_... |
46f493c9a9ca68a9741ae409b4e7400feb75d119160a4f9360c13afc0e67c17f | MATLAB | 702 | 25 | %kl = klgamma(pa,pb,qa,qb);
%
%Calculates KL(P||Q) where P and Q are Gamma distributions with
%parameters {pa,pb} and {qa,qb}.
%
% KL(P||Q) = \int d\pi P(\pi) ln { P(\pi) / Q(\pi) }.
%
%This routine handles factorised P distributions, if their parameters
%are specified multiply in either 'pa' or 'pb', as elements of a ... |
261e5597065f9c52db29bfadc0e6ab356504a9e35c2f1d2faf4c203a2053c0e7 | MATLAB | 703 | 30 | function A=movload(fname)
% movload: loads a mov file, parsed into single trials
% checks for consequtive numbering of the trials
% and warns if trials are missing or out of order
% Synopsis
% M=movload(fname)
% Description
% fname: filename
fid=fopen(fname,'rt');
if (fid==-1)
error(sprint... |
8233d8ed2ac482d2f44a8f1a58f9cc0cfabac7c521a3524e98979d2d14d015ad | MATLAB | 703 | 37 | function pv=plot_SignificantMark(X1,X2,Y,Txt_dist,pVal)
%plot_pValLine
pv=plot([X1 X2],[Y Y],'k','linewidth',2); hold on;
th=.002; %% change to adjust significant mark level on the line
ns=0;
p=pVal;
if p>.05
ns=1;
mark='n.s.';
Txt_dist=Txt_dist*.8;
th=th*6;
elseif p<=.05 & p>.01
... |
84bfbd0e0b6b6aa2c5766578fdc172f7e34a27f47bf220d1132c29510593a552 | MATLAB | 703 | 27 | function O = find(tsa, find_string)
% Selects points in a TSD object based on conditions
%
% USAGE:
% O = find(tsa, find_string)
%
% INPUTS:
% tsa - a tsd object
% find_string - a string that represent a condition, in which the data is
% substituted by the symbol 'Td', and the timestamps
%... |
a86b767b82469cb74d977f669286d58fd2f44b1a7afa7af1815a9b3c37afac3e | MATLAB | 703 | 20 | function varargout = read_image_spm8(varargin)
% read_image:
% input: header (struct variable generated with read_header)
% output: image in neurological space (left = left, view from top)
hdr = varargin{1};
if nargin >= 2 % if subvolumes in 4D file should be selected
if any(varargin{2}>si... |
fd97a868562b2f6bbd7e85e84fc7d1e0e90815411e30609af0a13c6c7a68012d | MATLAB | 703 | 29 | function varargout = read_image_afni(varargin)
% read_image:
% input:
% header (struct variable generated with read_header)
% volume range (optional, starting to count at 1)
% output: image in neurological space (left = left, view from top)
hdrname = varargin{1}.RootName;
... |
27db58ab268bf090299efbb6b6a221643669b6ee3332224c88fc78be3a3c0d05 | MATLAB | 705 | 20 | function varargout = read_image_spm12b(varargin)
% read_image:
% input: header (struct variable generated with read_header)
% output: image in neurological space (left = left, view from top)
hdr = varargin{1};
if nargin >= 2 % if subvolumes in 4D file should be selected
if any(varargin{2}>... |
22ca88bf16c669057812f8ece981f6921dd0dd5a3e9a051d7bc30dd02b67662b | MATLAB | 708 | 30 | %clear all;
addpath /comp_neuro/Software/Github/CMBHOME_github/
time_convert=1/0.02; % 1/<sampling_rate_in_ms>
Xs=[];Ys=[];spk_t=[];spk_x=[];spk_y=[];
fprintf("Using T:%d C:%d\n",tetrodes(file_number),cells(file_number));
% load file
load(filenames(file_number));
% load epoch
root.epoch=lightON;
% load cell
root.cel... |
be87cfe486346fbebaf0c28aa261aa607e7765832f6c59a2b00d2a6285416354 | MATLAB | 708 | 21 | function [t] = titlef(varargin)
% Like calling title(sprintf(X),'Interpreter','None')
%
% This is just a shortcut for plotting graphs.
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the GPL. See http://www.csbmb.prince... |
629b2e8c863125b65689f94b6d4a7e522eaddf2bc280481cf51f737917bac97f | MATLAB | 709 | 36 | function Y = geninv(G)
% Returns the Moore-Penrose inverse of the argument
% Transpose if m < n
[m,n]=size(G); transpose=false;
if m<n
transpose=true;
A=G*G';
n=m;
else
A=G'*G;
end
% Full rank Cholesky factorization of A
dA=diag(A); tol= min(dA(dA>0))*1e-9;
L=zeros(size(A));
r=0;
for k=1:n
r=r+1;
... |
1f850548f5a9d44df2519addde3110336f1a8e2ca9894789abe34d0c68f08108 | MATLAB | 710 | 25 | function [errmsgs warnmsgs] = test_extent()
errmsgs = {};
warnmsgs = {};
fakedata = zeros(10,10,10);
fakedata(1,2,2) = 1; % size 1
fakedata(1,2,4:5) = 1; % size 2
fakedata(1,2,7:9) = 1; % size 3
fakedata(3,2:3,2:3) = 1; % size 4
fakedata(3:4,5:6,5:6) = 1; % size 8
fakedata(6:9,1:4,4:8) = 1; % size 80
subj = init_su... |
3195b331c887c84006c38b756e1ea34fe14455c75cad5110e6b3a795cbf6a56a | MATLAB | 711 | 21 | % find connectivity
thresh=.001;%.002;
%weights=readmatrix('/home/nmsutton/Dropbox/CompNeuro/gmu/research/sim_project/code/gc_can_1/scripts/generate_params/synapse_weights.csv');
weights=readmatrix('/home/nmsutton/Dropbox/CompNeuro/gmu/research/sim_project/code/gc_can_1/data/synapse_weights.csv');
%tot_conn=find(weig... |
c835b79473ec6f8e868971614b7a767638659a04bf5f4c842998ec7528e1bec6 | MATLAB | 712 | 17 | function [ YVal_LAremoved ] = RemovingLightArtifacts( YVals, start_frames, end_frames)
%% RemovingLightArtifacts removes the light artifact in a fluorescence trace, given that the light artifact is the brightest thing in the t-series
% YVals = the raw fluorescence trace
% start_frames = # of frames to remove before ... |
eed2cdb0d88f28a05181c7cad2fb878783880a2436724ec4835ef4e1de180259 | MATLAB | 714 | 32 | function out = boxplotrule(x, dim, k)
% BOXPLOTRULE identifies outliers according to the boxplotrule described in
% Wilcox 3.13.2. It uses the ideal fourths, rather than the interquartile
% range from the actual data.
%
% Use as:
% out = boxplotrule(x, dim)
%
% Input arguments:
% x = data matrix
% dim = dimens... |
1bbbc2f61ee7da96d5fa58eef70d9d4dd340c6a0d7e9e44151bf2e466c9f5e66 | MATLAB | 715 | 38 | % psine pulsed sine waveform
%
% x = psine( n, f )
%
% a psine with (n,0) is a perfect sine wave
% a psine with (n,1) is a perfect pulse
% a psine with (n,0.5) is a n/2 pulse flanked by an n/2 sine cut into two halfs
%
% all are scaled to the 0-1 range
% 03-feb-13 ES
function x = psine( n, f )
x = [];
... |
2c4f988ff7bcbee51b3f71e18f0d3eedf609cd8668dfe6640cacd24646234d3a | MATLAB | 715 | 36 | function lt = LastTime(O, TimeUnits)
% Returns last time of an intervalSet
%
% USAGE:
% lt = LastTime(is, TimeUnits)
%
% INPUTS:
% O - an intervalSet object
% TimeUnits - a units object or the abbreviation string
%
% OUTPUTS:
% lt - the last time of the intervalSet
% copyright (c) 2004 Franc... |
511ecf3c0d1951500f25c5bc1185275cc5ce81cfcb92079c584697f02184e00a | MATLAB | 715 | 45 | function [R rdw rup] = Clinear(linVar,theta)
nbIterations = 1000;
n = length(theta);
C = cos(theta);
S = sin(theta);
r12 = corrcoef([linVar C]);
r12 = r12(1,2);
r13 = corrcoef([linVar S]);
r13 = r13(1,2);
r23 = corrcoef([C S]);
r23 = r23(1,2);
R = (r12^2+r13^2-2*r12*r13*r23)/(1-r23^2);
Rrand = [];
for i=1:nbIter... |
35dc88bdc4f6a93578244ba297707b3988c083bd5c79e9e24447f58591491d22 | MATLAB | 716 | 30 | function out = madmedianrule(x, dim, k)
% MADMEDIANRULE identifies outliers according to the madmedianrule described in
% Wilcox 3.13.4.
%
% Use as:
% out = madmedianrule(x, dim, k)
%
% Input arguments:
% x = data matrix
% dim = dimension along which to operate, default: first non-singleton dimension
% k ... |
581509c9dd1d0ef5b41617b2b358046068f390d20feeb405bfb5bbd66f2b13ce | MATLAB | 716 | 18 | function checked = check_software_spm8b(software)
if length(software)>=3 && strcmpi(software(1:3),'spm')
try
spm_ver = spm('ver');
catch %#ok<CTCH>
error('SPM is not in your path!\nPlease add a version of SPM to your path or change cfg.software to another software')
end
if ~strcmpi(spm_... |
b2bda9f6cb26d4e9235dcdb2f025ac141722cc7b001a2a59f3d326948ef732e0 | MATLAB | 716 | 18 | function checked = check_software_spm12(software)
if length(software)>=3 && strcmpi(software(1:3),'spm')
try
spm_ver = spm('ver');
catch %#ok<CTCH>
error('SPM is not in your path!\nPlease add a version of SPM to your path or change cfg.software to another software')
end
if ~strcmpi(spm_... |
097ab3cfa4dc16896987abf450088bb079325c14bbd846c17f6b9c45d7bacc67 | MATLAB | 717 | 19 | function msBatchCleanSegments(dirName,corrThresh,distThresh,overlapThresh)
%MSBATCHCELANSEGMENTS Summary of this function goes here
% Detailed explanation goes here
dataFolders = msBatchFindDataFolders(dirName,[]);
for folderNum = 1:length(dataFolders)
currentFolder = dataFolders{folderNum};
... |
371ff66d7028a5004c2ee856d8446e7abea53320eeee6eb85d9c1b5dc5c1cb81 | MATLAB | 717 | 17 | function cleanupSharedLibs()
submodules = parseGitSubmodulesFile();
for ii = 1:size(submodules,1)
submodulepath = submodules{ii,3};
[~, submodulename] = fileparts(submodules{ii,1});
if ispathvalid_startup(submodulepath)
if ispathvalid_startup([submodulename, '.old/'])
fprintf('Dele... |
670c18ddfa4e8badfb9f6fc006253fd11f7b0760858c8a01d400adaf20e6677e | MATLAB | 717 | 18 | function checked = check_software_spm12b(software)
if length(software)>=3 && strcmpi(software(1:3),'spm')
try
spm_ver = spm('ver');
catch %#ok<CTCH>
error('SPM is not in your path!\nPlease add a version of SPM to your path or change cfg.software to another software')
end
if ~strcmpi(spm... |
a7fbc0e74a0ce2a1f1cc582682c187cd2da912af7bfb3510a46d665b087f2049 | MATLAB | 717 | 33 | function ir = instantRate(tsa, TimeUnits)
% Computes instantaneous rate as the inverse of inter-event interval
%
% USAGE:
% ir = instantRate(tsa, TimeUnits)
%
% INPUTS:
% tsa - a tsd object
% TimeUnits - a units object or the abbreviation string
%
% OUTPUT:
% ir - a tsd object where the data... |
9bf83ba96041827cbe0cbb34bb1d276b2e11b350c8ba0f2aa68e02466690d92e | MATLAB | 718 | 29 | function [fx] = f_fictious(x,P,u,in)
if VBA_isWeird (u) % e.g., 1st trial
fx = x;
return;
end
o = u(1); % opponent's last choice (o)
a = u(2); % agent's last choice (a)
p0_game1 = VBA_sigmoid(x(1)); % previous estimate of P(o=1|game1)
eta = VBA_sigmoid(P(1)); % weight of PE
% derive first-o... |
abe7aca3c31759af7fb89fed610b7dbeba911a5c5494a7ad05de8271639125d6 | MATLAB | 718 | 25 | function K = getK(n,epsilon)
%GETK n, epsilon
% Returns a coupling matrix with given characteristics.
% n number of vertices within each group
% epsilon coupling between groups of vertices
k = length(n); % number of groups
N = sum(n); % number of vertices
s = size(epsilon);
... |
b547fd532dece7ea26d40ded256c57e222f1d40e92ee05f6b2d4edcc63ea4bb3 | MATLAB | 718 | 24 |
n = size(Y,2);
p = size(Y,1);
s = size(Lm,2);
nSubjs = length(Ycell);
for ns = 1:nSubjs
col = 0; logQns = [];
for t = 1:s
col = col + 1;
kt = size(Lm{t},2);
LmpsiiLm = Lm{t}'*diag(psii+eps)*Lm{t};
temp = LmpsiiLm + reshape(reshape(Lcov{t},kt*kt,p)*psii,kt,kt);
tempXm = Xm{t}(:,1+(ns-1)*n/nSubjs:(ns*n/nSubjs)... |
5f124eb4e2feaed4793cf3b597ca11abfca3bac5678bcce61ecba3940b1eb7e1 | MATLAB | 719 | 18 | function checked = check_software_spm2(software)
if length(software)>=3 && strcmpi(software(1:3),'spm')
try
spm_ver = spm('ver');
catch %#ok<CTCH>
error('SPM is not in your path!\nPlease add a version of SPM to your path or change cfg.software to another software')
end
if ~strcmpi(spm_v... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.