sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
cfc3fbfccf2b434ec3feba493031f5e37f5b69e9313ec56a547497ec862af463 | MATLAB | 337 | 18 | % trkPath.m
%
% Helper function that returns path to folder with .trk files (APT output)
%
% INPUTS:
% none
%
% OUTPUTS:
% trkDir - full path to folder containing .trk files
%
% CREATED: 9/24/21 - HHY
%
% UPDATED:
% 9/24/21 - HHY
%
function trkDir = trkPath()
trkDir = '/Users/hyang/Dropbox (HMS)/APTlegTrackin... |
28c8ccfab1e0af08386de33033954875f9e45449b1f6783f33e28271c526ac55 | MATLAB | 338 | 12 | function union = BoxUnion(a, b)
% union = BoxUnion(a, b)
%
% Creates the union box of two bounding boxes.
%
% a: Input bonding box "a"
% b: Input bounding box "b"
%
% union: Intersection of box a and b
union = [min(a(:,1),b(:,1)) min(a(:,2),b(:,2)) ...
max(a(:,3),b(:,3)) max(... |
534082e9be06bf0558135d42360ba4d17e07b4c980a99494e6d44043acefe5ac | MATLAB | 338 | 13 | function ret=SONUpdateStart(fh)
% SONUPDATESTART flushes the SON file header to disc
%
% RET=SONUPDATESTART(FH)
% where FH is the SON file handle
%
% Returns zero or a negative error
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
ret=calllib('son32', 'SONU... |
13fee737ad6a516e58c9399179153c49e8de37ca7566901b78665cf6aedb91f8 | MATLAB | 339 | 12 | % Tests a filter mask structure for active layers
%
% Implemented through SONFEqual.dll
%
% ANS=SONFEQUAL(FILTERMASK)
%
% Sets bits 1 to 4 in the output if layers 1 to 4 of the filter mask
% do anything i.e. have cleared bits
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's Colleg... |
2d65fd2cafbc5a385ddd2e69aba2c96b6bb5cbb4f45bf028800495800151acd4 | MATLAB | 339 | 7 | function vidAmp = vidTimeFcn_APP(app, tvid,vidH,freq,tscale)
varsTemp = [sin(2*pi*freq*tvid(:)/tscale) cos(2*pi*freq*tvid(:)/tscale) ones(size(tvid(:)))];
yTemp = [0; diff(vidH)]/mean(diff(tvid));
mask = abs(yTemp)<100;
bVidTemp = regress(yTemp(mask), varsTemp(mask,:));
vidAmp = -sqrt(bVidTemp(1)^2+... |
6067c62f3232ef059cdf5c5c719c7fd7fbad57057b8b2cae74da19523322bcbf | MATLAB | 339 | 9 | % mglMetalClose: Close mglMetal windows. Usually called from mglClose
%
% usage: mglMetalClose
% by: justin gardner
% date: 09/27/2021
% copyright: (c) 2021 Justin Gardner (GPL see mgl/COPYING)
% purpose: Closes an mgl Metal window - typically called from mglClose
% usage: mglMetalClose
func... |
7007dc55566243e3bce9f89dba70c039ae58fe99aab44c85d29c6344fc440b68 | MATLAB | 339 | 14 | function b = loadobj(a)
% loadobj for file_array class
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: loadobj.m 8776 2013-11-14 09:04:48Z roboos $
if isa(a,'file_array')
b = a;
else
a = permission(a, 'rw');
b =... |
95949d8277a22d35f24d8ee3080414870d666d1109e5041e2ab34160feed8eeb | MATLAB | 340 | 8 | function dspec = addCovariateRawMatrix(dspec, covLabel, desc, varargin)
% Add the continuous covariate without basis function (instantaneous rel)
if nargin < 3; desc = covLabel; end
% assert(ischar(desc), 'Description must be a string');
dspec = buildGLM.addCovariate(dspec, covLabel, desc, basisFactory.rawStim(covLa... |
a5bf4bd1ad2da2f0a8c36acef168af0a83cefafa24946675111e1f4042eb1fc5 | MATLAB | 341 | 13 | function [meanAngle] = ml_alg_circ_mean(d)
% Compute the mean angle (circularly)
rx = 0;
ry = 0;
for i = 1:length(d)
rx = rx + cosd(d(i));
ry = ry + sind(d(i));
end
meanAngle = atan2d(ry, rx); % this will be -180 to 180
if meanAngle < 0
meanAngle = meanAngle + 360;
... |
5e588cb1e50dff2027259d219b3da1670b8ea952b91eadf44a10c00011bf2e28 | MATLAB | 342 | 11 | function vfTrace_dFF0 = calc_dF_F(vfTrace)
% 'vfTrace' is a vector of raw fluorescence values for each frame. Compute
% the 'F0' value, which is the median of the trace. Then compute (F-F0)/F0,
% and return the result in a variable 'vfTrace_dFF0'.
medianVal = median(vfTrace);
vfTrace_dFF0 = (vfTrace - medianVal) / m... |
8151f8bd46a4ab4c1f72a3901e25426616944f440a037955c5171e48fa7580a8 | MATLAB | 342 | 13 | function[ds_events]= load_ds_events(type)
if strcmp(type,'standard')
if ismac
ds_events=load('/Volumes/Runyan2/Christian/Processed Data/Event Analysis/standard_ds_onsets.mat');
else
ds_events=load('Y:\Christian\Processed Data\Event Analysis\standard_ds_onsets.mat')
end
ds_events=ds_ev... |
d5dbbffd58ff5d1f27d1c386b142728057b541680d82a578358ed19f3e9b8d1a | MATLAB | 342 | 18 | % testIInj.m
function [iInjOut, iInjParams] = testIInjFn(settings, durScans)
outDur = 20000;
iInjParams = [];
out = (linspace(-2,2,outDur))';
numRep = floor(durScans / outDur);
remainder = mod(durScans, outDur);
iInjOut = repmat(out,numRep,1);
iInjOut = [iInjOut; out(1... |
58c7a5e27f24f22130f569e64b63eed25af1aba389f95a391087af53a46e47ba | MATLAB | 343 | 16 | function [list_contents] = read_list(fname)
% loads the contents of an old list to a cell array
fid = fopen(fname,'r');
finished = false;
list_contents = {};
while ~finished
thisLine = fgetl(fid);
if isnumeric(thisLine) && thisLine==(-1)
finished = true;
continue;
end
list_contents{end+... |
67660fe40eee17dc79614fd3df4474bb309b8240d57c14587a2bcaa49e2ea549 | MATLAB | 344 | 16 |
no = 6;
ss = 1;
ns = 2;
sc = sqrt(2);
el = 2;
fb = fbCreate(no,ss,ns,sc,el);
for k = [32 64 128],
tex = unitex(fb,k);
tsim = textonsim(fb,tex);
[tim,tperm] = visTextons(tex,fb);
save(sprintf('unitex_%.2g_%.2g_%.2g_%.2g_%.2g_%d.mat',...
no,ss,ns,sc,el,k),...
'fb','tex','tsim',... |
1977f039d9398a9701deabf18a53a4a05d344c0be08b824995a77eb3e6b25aac | MATLAB | 345 | 11 | function paddedData = padBlockDataWithNaNs(dataIn, nrTRs)
unevenTRs = cellfun(@(x) find(length(x)~=nrTRs), dataIn,'UniformOutput',false);
paddedData = dataIn;
for ii = 1:length(unevenTRs),
if ~isempty(unevenTRs{ii}),
diffTRs = nrTRs-length(paddedData{ii});
paddedData{ii} = cat(1,paddedData{ii},NaN... |
4f64fe937bb956c290a6f653a4fcc3fcd7a82360700d330e1f234249d0756fae | MATLAB | 345 | 18 | function Rsq = linearityScatterPlot(vec1, vec2, keep, c)
x = vec1(keep);
y = vec2(keep);
fit = polyfit(x,y,1);
range = linspace(min(x),max(x),100);
yfit = fit(1)*range + fit(2);
R = corrcoef(x,y);
Rsq = R(1,2).^2;
scatter(vec2(keep), vec1(keep), 4, c(keep), '.'); hold on
plot(yfit, range, 'k', 'lineWidth', 2);
colo... |
86e8a2f6c5b47f5a907488ea103be142b369f10b966ecaccb431fc047d838a32 | MATLAB | 345 | 11 | % Author: Zachary Chiang, Buenrostro Lab, Harvard University
% Uses BioFormats bfGetPlane to get an image given a reader, series,
% z-slice, channel, and timepoint
function[img] = readPlane(reader, series, z, c, t)
reader.setSeries(series - 1);
plane = reader.getIndex(z - 1, c -1, t - 1) + 1;
img = bfGetP... |
65d5b9284c1a75c9d09a9b3a79580faaa415c177ac6c30563ba4321e3940524d | MATLAB | 346 | 17 | function b = NormalizeArray(a)
% Normalizes array a. This means that the minimum value will become 0 and
% the maximum value 1.
%
% a: Input array.
%
% b: Normalized output array
minVal = min(a(:));
maxVal = max(a(:));
diffVal = maxVal - minVal;
b = a - minVal;
if diffVal ~= 0
... |
d7290a556265c8c995ed0264eb97d426b115b30c9e12374f72ad0d3d275d7bb2 | MATLAB | 347 | 11 | function handles = OpenFiles_cluster(fullFileName, handles)
%% Authors: Jiri van Bergen and Xu Li
% Affiliation: Radiology @ JHU - Kirby Center
% Contact via xuli@mri.jhu.edu
% cluster version
if exist(fullFileName, 'file')
handles.TableDatasets.Data = { fullFileName, handles.textReadyLoad };
handles... |
4773f12d94aac9467e296bfdcfc2bedee78def18885b60f9b3cd240ceb565f6b | MATLAB | 348 | 28 | function file_exist=my_check_file(cache_file, be_quite)
if nargin<2
be_quite=true;
end
if exist(cache_file, 'file')
file_exist=true;
if ~be_quite
fprintf('file exist:%s\n',cache_file);
end
else
file_exist=false;
if ~be_quite
fprintf('file not exist:%s\n',cache_... |
e0d0b9a4c4383ac02cbcbbc6a1832f8351e4a9dccfdf2b3a2ec66a5c7b1d38ec | MATLAB | 348 | 21 | function y=file2str(x)
%FILE2STR reads textfile intoa single long string
%
% Syntax: y=file2str(x)
%
% Description
% x is a filename
% y is the long string with all contents
%
% Jonas Almeida, almeidaj@musc.edu, 30 June 2003, MAT4NAT Tbox
fid=fopen(x,'r');
i=1;
while ~feof(fid)
y{i}=fgetl(fid);
i=i+1;
end
... |
51398da171f70de8a3b77b23d98f3b96b26de8fdc71c9dab7976148262880a90 | MATLAB | 349 | 16 | function t = fieldnames(obj)
% Fieldnames of a file-array object
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: fieldnames.m 8776 2013-11-14 09:04:48Z roboos $
t = {...
'fname'
'dim'
'dtype'
'offset'
's... |
8b1416e9347ef985d06b9b46fbf20049f0aaa8f0b45e2ead4dbfcc58ae15da5a | MATLAB | 349 | 12 | function SONCommitFile(fh, bDelete)
% SONCOMMITFILE flushes data to disc
% FH is the SON file handle
% BDELETE ,if non-zero, causes the data buffers to be deleted
%
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
calllib('son32','SONCommitFil... |
33dd2c3ccdba67198dc8c07e97acb3766aa401c59ab40c07eb18de8093ef9939 | MATLAB | 350 | 20 | %
% Computer the average distance in a network.
%
% PARAMETERS
% $network
%
% INPUT FILES
% dat/hopdistr.$network
%
% OUTPUT FILES
% dat/statistic.meandist.$network
%
network = getenv('network');
data = load(sprintf('dat/hopdistr.%s', network));
x = konect_diammean(data);
save(sprintf('dat/statistic.meandist.%... |
500ac5f070471a326b8c31a8229d671a8cfbf65d72576845f5a65af39834e0ac | MATLAB | 350 | 13 | function ret=SONUpdateStart(fh)
% SONUPDATESTART flushes the SON file header to disc
%
% RET=SONUPDATESTART(FH)
% where FH is the SON file handle
%
% Returns zero or a negative error
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
ret=calllib('s... |
f5c04a50dcdf32e708f27dd5d7338a391ae746f50d2b4787f5ce09a8849b6ec1 | MATLAB | 350 | 12 | % Tests a filter mask structure for active layers
%
% Implemented through SONFEqual.dll
%
% ANS=SONFEQUAL(FILTERMASK)
%
% Sets bits 1 to 4 in the output if layers 1 to 4 of the filter mask
% do anything i.e. have cleared bits
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & Ki... |
3b919384028d61edf4f0887a169df257aefea8ea143048b76e194a8f24832cfd | MATLAB | 351 | 11 | function [subFolders] = mulana_util_get_subfolders(searchFolder)
files = dir(fullfile(searchFolder));
subFolders = {};
for i = 1:length(files)
if ~any([strcmp(files(i).name, '.'), strcmp(files(i).name, '..')])
if files(i).isdir
subFolders{end+1} = files(i).name;
... |
6f3e716374decbccd38835d45639be808270d604e14477bdc5c93b31192e17d5 | MATLAB | 351 | 13 | function im = superpixel2im(segments, values)
labelNum = length(unique(segments));
[height, width] = size(segments);
sz = height * width;
[~,dims] = size(values);
im = zeros([height, width, dims]);
for i = 1 : labelNum,
idx = find(segments == i);
for j = 0 : dims - 1,
im(idx + j * sz) = values(... |
d9704497300becfa785b2193fa6c3357e6e64a7d6029f898ac471e920b91b788 | MATLAB | 352 | 16 | %
% This is the additive normalization used. This function also knows
% which type of networks need normalization or not.
%
function [U V] = means_best(T, m, n, weights)
%%consts = konect_consts();
[negative interval_scale] = konect_data_weights();
if interval_scale(weights)
[U V] = means_euv(T, m, n);
els... |
e04ef3b675c00a305d747cdc9b000d0889f936cb002af1134dfe10e41fde0019 | MATLAB | 352 | 13 | function success = delete_tracks(folder_name)
%delete the tracks given folders
disp(folder_name)
deletePath = [folder_name, filesep, 'analysis'];
if exist(deletePath, 'dir')
%delete the previous track variables by deleting the analysis
%folder
delete([deletePath, filesep, '*.*']);
... |
160dc6bfea627114a9317a1e0fe9cb4c24723546307f841b177ec8f172478721 | MATLAB | 353 | 13 | function rungibbscorrection(gibbsdir,root,DKIroot)
addpath(genpath(DKIroot));
addpath(gibbsdir);
nii = niftiread(fullfile(root,'dwidn.nii')); dwi = double(nii);
params = [1 3 20];
dwigc = unring(dwi,params);
info = niftiinfo(fullfile(root,'dwidn.nii'));
info.DataType = 'double';
niftiwrite(dwigc, fullfile... |
49cc4eea49669ab0ae3142224fb8dbe482a8773e48894b6d08475ddea53fc783 | MATLAB | 353 | 14 | % mydisp.m
%
% usage: mydisp(str)
% by: justin gardner
% date: 06/03/08
% purpose: prints w/out newline and with a flush
%
function mydisp(str)
% if this is being called it means the mex file doesn't exist,
% so just print out (this won't flush though--preventing updating
% text print outs like f... |
8657f4c35fd9a393cf7debf95f2a19fa4da84c3e9f263ef04358cc9dfc7842f8 | MATLAB | 353 | 16 | function [head,tail] = period(r,multiFreq)
%PERIOD Get last period
% Detailed explanation goes here
head = zeros(5,1); tail = zeros(5,1);
if multiFreq
idx = 2;
else
idx = 1;
end
for i = 1:5
[pks,locs] = findpeaks(r(1,:,i));
head(i) = locs(end-idx)-(locs(end)-locs(end-1))/2;
tail(i) = locs(end)-(lo... |
19dcb26df47d6908dcaa5a99bf181424856632b4f3beadc265d59b7368fbe740 | MATLAB | 354 | 12 | function parsave(filename, varargin)
if strcmp(filename(end-3:end), '.mat')
var_names = cell(1,length(varargin));
for i = 1:length(varargin)
eval(sprintf('%s=varargin{%d};',inputname(i+1),i));
var_names{i} = inputname(i+1);
end
save(filename,var_names{:}, '-v7.3');
else
error('filena... |
660df36fd9d66d3453d796595a5b70da588ef90f24df03562ffded9e303e466b | MATLAB | 354 | 9 | function helper_bfo_save_total(outputFolder, total, rotDeg)
if ~exist(outputFolder, 'dir')
mkdir(outputFolder)
end
outputFilename = fullfile(outputFolder, sprintf('bfo_%d_total.mat', rotDeg));
fprintf('Saving best fit orientation data (total) to file: %s\n', outputFilename);
save(output... |
6a0e86fd86f5ba79a6ae6f96379110955483a2c41ea60db8cbd56ac86b15b45c | MATLAB | 354 | 11 | <<<<<<< HEAD
function [FMR] = computeFMR_classic(imsVector, REJnira, threshold)
FMR = length(find (sort(imsVector) >= threshold)) / (length(imsVector));
=======
function [FMR] = computeFMR_classic(imsVector, REJnira, threshold)
FMR = length(find (sort(imsVector) >= threshold)) / (length(imsVector));
>>>>>>> 5aa7404... |
6dcd236e7960c9d2ac9720fb10132dfb6f1a6e8da1a4acf767a283e946f8eb0d | MATLAB | 354 | 21 | clear;
clc;
% candidate = [0.25, 0.5, 1, 2, 4, 8];
% for i = 1:length(candidate)
% ratio_sens_attn = candidate(i);
% search_reduce_L46;
% end
% candidate = [6, 12, 32, 64, 128];
% for i = 1:length(candidate)
% ratio_sens_attn = candidate(i);
% search_reduce_L4;
% end
search_onlyA_blockL6E_L4E;
clear... |
a53ffd7ae6872f6b339870ff4ffd917067a99b197ab447eace93abb2d44def1c | MATLAB | 354 | 14 | function CE_int = xls_create(MNE_out)
CE_int = readcell('16chs_rack_input.xls');
row_dis = ones(1,32);
dI_dt_fin = MNE_out.dI_dt/1e6;
int_MSO_tmp = 100*dI_dt_fin/140;
int_MSO = upsample(int_MSO_tmp,2);
CE_int(3,6:37) = mat2cell(floor(int_MSO),row_dis);
CE_int(2,1:36) = mat2cell(zeros(36,1),ones(36,1));
writecell(CE... |
669220d7b228ba96eaac61c1e8c1063d7d136e0842bac8e5447c62fd4b5c5e3b | MATLAB | 355 | 15 |
function img_data=load_img_from_ds_info(img_data_info, img_idx)
assert(~isempty(img_idx));
img_file=img_data_info.img_files{img_idx};
one_data_dir_idx=img_data_info.data_dir_idxes_img(img_idx);
one_data_dir=img_data_info.data_dirs{one_data_dir_idx};
full_img_file=fullfile(one_data_dir, img_file);
img_data=read_im... |
98aea69f514a4897992406bf53ec49ecc21c32a68bd289e08f137e04a178dbca | MATLAB | 355 | 13 | function checkSet(pname, namedprops, constraints, val)
if isempty(val)
return;
end
assert(isa(val, 'types.untyped.Set'),...
'NWB:CheckSet:InvalidType',...
'Property `%s` must be a `types.untyped.Set`', pname);
val.setValidationFcn(...
@(nm, val)types.util.checkConstraint(pname, nm, namedprops, constra... |
b71bf4f761ab79c314dab80498c798d1f2efe70ac4bf96e2755095a817e36fcd | MATLAB | 356 | 23 | function ynn_v = ValNLSNLD(Imat_v,dsr_init,nn_stat,nn_dyn,Xi,Ai,tv,no)
u = Imat_v;
y_s = sim(nn_stat,u);
X = tonndata(y_s,true,false);
yv = nn_dyn(X,Xi,Ai);
yn = zeros(no,tv-1);
for i = 1:tv-1
yn(1:no,i) = yv{i};
end
ynn_v = zeros(tv,no);
ynn_v(1,1:no) = dsr_init;
for i = 1:no
ynn_v(2:... |
592969f1fbe2cc133a3ee45d7d7c580ba764baf0c97ee91620f18947fd11a1f2 | MATLAB | 357 | 13 | function plot_wseries(wavelength_stack,info)
clims = [0 250];
colormap gray
imagesc(squeeze(wavelength_stack(length(info.pockels),length(info.wavelengths),:,:)),clims);
set(gca, 'box', 'off','XTick',[],'YTick',[],'fontsize', 14)
title(info.identities)
%%title ([num2str(info.identities{length(info.pockels),length(inf... |
9e0cc4679f91445a2a451188876c64908b4e8a9fa2275956ab15446c5bf1ed32 | MATLAB | 357 | 14 | function v = ang2vec(theta, alpha)
% v = ang2vec(theta, alpha) used to calculate the vectors from azimuth and elevation angles.
% note that 'theta' is nagative actual azimuth angle. Theta and alpha are
% in degrees.
%
% Author: Wei Zhao
%
%%
a = (cosd(alpha).*cosd(theta))';
b = (cosd(alpha).*sind(theta))';
c... |
269efddff7fb0ccd4beb2090333d887fe0e92888cf3a26131d2d7b8c3d07bfb3 | MATLAB | 358 | 15 | function y = demean(x)
% simple routine to removes the mean value from the vector X
% or the mean value from each column, if X is a matrix.
%
% Cyril Pernet
% ---------------------------------
% Copyright (C) Corr_toolbox 2014
n = size(x,1);
if n == 1
x = x(:); % If a single row, turn into column vector
end
N = si... |
570e5d3905981281e6f5dbf84138bca40b8f31ed4267bc29755ebee47aac9693 | MATLAB | 358 | 17 | function smoothed_dff_z = preprocess_pop_activity(dff,varargin)
if isempty(varargin)
dff_z = zscore(dff')';
summed_dff_z = sum(dff_z);
smoothed_dff_z = smooth(summed_dff_z,30,'boxcar');
elseif strcmp('avg',varargin{1})
dff_z = zscore(dff')';
mean_dff_z = mean(dff_z,1);
smoothed_dff_z = smooth(m... |
8f93c58a91dbdfd465f92b4a44a34d71b0edab07ea107e3b59f86d3b47eb2564 | MATLAB | 358 | 15 | function hdr = empty_hdr
% Create an empty NIFTI-1 header
% FORMAT hdr = empty_hdr
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: empty_hdr.m 8776 2013-11-14 09:04:48Z roboos $
org = niftistruc;
for i=1:length(org),
h... |
d3854c6a4f00c2dd755da33a0214f9a2f604b46fb4f08159759ab1885c29ebcf | MATLAB | 358 | 15 | function [freqs, powers] = psdPeak(signal, maxFreq)
% return two list: freqs and power. freqs contains the freqency of the
% peak. power contains the psd value of the peak.
% signal is time * conditions
% return
[f, P1] = getPSD(signal, maxFreq);
for i = 1:size(signal,2)
[pks,locs] = findpeaks(P1(:,i));
powers(i,:) =... |
f704c8a4d363a45c0b0c42fee344f2bccacbe0dfa2155e55062716168a712d28 | MATLAB | 358 | 16 | % Author: Zachary Chiang, Buenrostro Lab, Harvard University
% Sets the maximum pixel value of an image based on either an absolute or
% percentile based threshold
function[O] = capImage(I,val,type)
if type == "abs"
cap = val;
elseif type == "prc"
cap = prctile(reshape(I,[],1),val);
end
... |
d324f3dd01ab2be2c272d6042535c4658bdbca274691e7a5defa5ef43f8d4de5 | MATLAB | 360 | 20 | %
% Compute Pearson correlation error measure.
%
% RESULT
% value Correlation value
%
% PARAMETERS
% p (e*1) Predictions
% T (e*3) To be predicted
%
function [value] = measure_compute_corr(p, T)
value = corr(p, T(:,3));
if ~isfinite(value)
% An undefined Pearon correlation means constant predictions, so
%... |
b48b6000ed52e575e80fb945fd191d3fce9a8a48c036aab5da0525d30c0ee973 | MATLAB | 361 | 9 | function helper_bfo_save_total(outputFolder, total, rotDeg)
if ~exist(outputFolder, 'dir')
mkdir(outputFolder)
end
outputFilename = fullfile(outputFolder, sprintf('bfo_%d_placey_total.mat', rotDeg));
fprintf('Saving best fit orientation data (total) to file: %s\n', outputFilename);
save... |
d52d78533fc1c560310b693c375a8d59b8b48fe618df2c2970054b67702b9ede | MATLAB | 361 | 15 | %% load analysis information
try
% don't load from a file if you don't have to
mag1 = vars.mag1;
mag2 = vars.mag2;
vid = vars.vid;
catch
try
pathname = cd;
[~, filenameroot]= fileparts(pathname);
load(fullfile(cd, [filenameroot '_analysis.mat']))
catch
error('Unab... |
e48783d297be6db18ee332e3b2de644ece29a195564d77947c1ddabae44be23b | MATLAB | 361 | 16 | % f_Secs2hms.m [As a part of HFO Detection Project]
% Written by:
% Miguel G. Navarrete Mejia
% Electrical Engineering MS candidate
% UNIVERSIDAD DE LOS ANDES
% Colombia, 2012
% mnavarretem@gmail.com
function v_secs = f_HMS2Secs(pv_HMS)
if ~isvector(pv_HMS) && numel(pv_HMS)~=3
v_secs = 0;
return... |
9f77b0c33a754a0d2bface6bf72081191d0df54019209692a09aaeca65f7d870 | MATLAB | 362 | 8 | function aAngle = ml_alg_center_out_angle(centerX, centerY, ax, ay)
dy = ay - centerY;
dx = ax - centerX;
aAngle = atan2d(dy,dx);
negind = find(aAngle < 0);
aAngle(negind) = aAngle(negind) + 360;
aAngle = 360 - aAngle; % This is so that in image coordinates, which is what we plot in, the angle i... |
5f626e0fe519ccfaf9c7e1912f218f1d45c9748effcf197364757f4fc4b0c9b9 | MATLAB | 363 | 16 | function [image_data] = load_data()
filenames = dir(['.' filesep 'data' filesep '*.fig']);
for x = 1:length(filenames)
figure = hgload(['.' filesep 'data' filesep filenames(x).name]);
children = get(figure,'Children');
l=get(children,'Children');
image_data{x} = l{2}.CDat... |
7c344ccad674b5e353114f4905ddb41211eab7ac62ce275730380bcc7b6d08ce | MATLAB | 363 | 20 | function ml_cai_cnmfe_plot_cell_timeseries(cnmfe, nid)
y1 = cnmfe.RawTraces(:,nid);
y2 = cnmfe.FiltTraces(:,nid);
y3 = cnmfe.neuron.S(nid,:);
si = find(y3 ~= 0);
x1 = 1:length(y1);
x2 = x1;
x3 = x1(si);
y3 = y3(si);
figure
plot(x1,y1,'k-')
hold on
plot(x2,y2,'m-','linewidth',4)
stem(x3,y3,'r')
grid on
grid minor
titl... |
895154327d850f30a956d97e6310fef9c80cab90714e856f70791352f951d4ef | MATLAB | 363 | 20 | % ftDataDir.m
%
% Quick function that returns the full path to the data directory on the
% FicTrac computer
%
% INPUTS:
% none
%
% OUTPUTS:
% dataDir - full path to data directory on the FicTrac computer, as a
% string
%
% CREATED: 1/8/21 - HHY
%
% UPDATED:
% 1/8/21 - HHY
%
function dataDir = ftDataDir()
... |
c8df10b1546035d3d7b2502cc759751c4d81a1a0a3034b7db4a1f80489bbd866 | MATLAB | 363 | 18 |
function array_str=my_gen_array_str(values, num_pattern)
if nargin<2
num_pattern='%d';
end
array_str='[';
for f_idx=1:length(values)
if f_idx>1
array_str=cat(2, array_str, ',');
end
array_str=cat(2, array_str, sprintf(num_pattern, values(f_idx)));
end
... |
1c07e5bf53f17b72d5095f83b7fba02a8b9de74824d4369f2fa7c43470d84728 | MATLAB | 364 | 23 | function ynn_v = ValNLSNLD4SerECNN(Imat_v,dsr_init,nn_stat,nn_dyn,Xi,Ai,tv,no)
u = Imat_v;
y_s = sim(nn_stat,u);
X = tonndata(y_s,true,false);
yv = nn_dyn(X,Xi,Ai);
yn = zeros(no,tv-1);
for i = 1:tv-1
yn(1:no,i) = yv{i};
end
ynn_v = zeros(tv,no);
ynn_v(1,1:no) = dsr_init;
for i = 1:no
... |
1cf6ef3357d3b7550ee411e42b2446880916f0d5b844a60c6409f1ff303c0140 | MATLAB | 364 | 11 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [entropy] = ml_alg_entropy_image(I)
% Ia and Ib must be discrete valued
ind = double(I(:))+1;
hist = accumarray(ind, 1);
prob = hist ./ numel(ind);
indNoZero = hist ~= 0;
prob1DNoZero = prob(indNoZero);
entropy = -sum( ... |
2887a95e16493a92fdd4ec85028906b6319fac3a6a3cdfe7e751069e0ad079b1 | MATLAB | 364 | 6 | function result = escape_string_for_bash(str)
sq = '''' ; % a single quote
sq_bs_sq_sq = '''\''''' ; % single quote, backslash, single quote, single quote
str_escaped = strrep(str, sq, sq_bs_sq_sq) ; % replace ' with '\''
result = horzcat(sq, str_escaped, sq) ; % Surround with single quotes to handle... |
75a7dbaf9de2280dbfcbaf86efe7e587fcabc2899e4e8ea7be04103795e07475 | MATLAB | 364 | 9 | function [traceMap] = ml_cai_placefield_tracemap(sxi, syi, nonuniformTrace, nbinsx, nbinsy)
% Perform the counts by hand because I don't trust MATLAB
numi = length(sxi);
traceMap = zeros(nbinsy, nbinsx);
for i = 1:numi
prevCount = traceMap( syi(i), sxi(i) );
traceMap( syi(i), sxi(i) ) = ... |
a965208abc408e0065187f01a209d0bd28425573eb0397a47088f6c5bbd6b7a3 | MATLAB | 364 | 9 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [mutualInformation] = ml_alg_mutual_information_images(Ia, Ib)
% Ia and Ib must be discrete valued
Ea = ml_alg_entropy_image(Ia);
Eb = ml_alg_entropy_image(Ib);
Eab = ml_alg_joint_entropy_images(Ia, Ib);
... |
3feb4a9114a9329720da806328dbb8b0a339b1d41b95d79ddf039b4ab54473b4 | MATLAB | 365 | 9 | function helper_bfo_save_percell(outputFolder, perCell, rotDeg)
if ~exist(outputFolder, 'dir')
mkdir(outputFolder)
end
outputFilename = fullfile(outputFolder, sprintf('bfo_%d_percell.mat', rotDeg));
fprintf('Saving best fit orientation data (per cell) to file: %s\n', outputFilename);
sa... |
251bf2a756473d5c91bacbcd29a03f82c56a34e6bf90304672a6fa7f6bed1a98 | MATLAB | 366 | 16 | function [xs] = runFiltFilt(x,smooth_info)
%runFiltFilt.m
% accepts either filter designer object
% or structs w/ coefficients
if isobject(smooth_info)
% assumes FIR
xs = filtfilt(smooth_info.numerator,1,x);
elseif isstruct(smooth_info)
xs = filtfilt(smooth_info.b,smooth_info.a,x);
else
error('expe... |
37c19d3a1f3f47490df7e10304afaa65de7e28a4a298a78d7ad8865760119c80 | MATLAB | 366 | 24 |
function cnn_update_net_group(net_config, update_fn, update_opts)
assert(~isempty(net_config));
group_num=length(net_config.ref.group_infos);
for g_idx=1:group_num
one_group_info=net_config.ref.group_infos{g_idx};
one_group_info=update_fn(one_group_info, update_opts);
net_config.ref.gr... |
d459e2793c0c009e3067060fd6b6d2cecaa6a43e947291fd1b1620518006305f | MATLAB | 367 | 14 | function [position] = ml_cai_behavtrackvid_h5_read( filename )
if ~isfile(filename)
error("Cannot read from (%s) as it does not exist.", filename);
end
pi = h5read( filename, '/pos_vid_pixel_i');
pj = h5read( filename, '/pos_vid_pixel_j');
position.x = pi;
position.y = pj;
position.timestamps_ms = double(h5read(... |
d812e7901753f9f9c700483a1f219150936414879437797f96c6765192471e65 | MATLAB | 367 | 16 | function [groups] = helper_bfo_percell_get_groups(perCell)
fn = fields(perCell);
t = strfind(fn, 'prob_');
inds = [];
for i = 1:length(t)
if length(t{i}) > 0
inds(end+1) = i;
end
end
groups = {};
for i = inds
g = fn{i};
s = split(g, '_');
g... |
0eb6e9d667c967f436ac17b591e0386f3350ee4228bb70a4653bab8709828a14 | MATLAB | 368 | 8 | function [binSystem] = ml_egomaps_binsystem_create(RADIUS_CM, cm_per_bin)
% This creates a bin system for the egocentric coordinates
boundsx = [-RADIUS_CM, RADIUS_CM];
boundsy = [-RADIUS_CM, RADIUS_CM];
cm_per_bin_x = cm_per_bin;
cm_per_bin_y = cm_per_bin;
binSystem = ml_bs_create(boundsx, bound... |
3f558cb97224af423e8522f1204ffe04f11b19711e25539edecdbd614ec14b83 | MATLAB | 368 | 14 | function out = numeric(fa)
% Convert to numeric form
% FORMAT numeric(fa)
% fa - a file_array
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: numeric.m 8776 2013-11-14 09:04:48Z roboos $
[vo{1:ndims(fa)}] = deal(':');
out ... |
c99b518b1a87dfa84f577b561b04b7acaf798570d7bb4ae429be5eaeed2af254 | MATLAB | 368 | 14 | function [ax] = plotRRM(matrix)
ax = imagesc(matrix);
line([.5 .5 6.5 6.5 .5],[.5 6.5 6.5 .5 .5], 'color', 'k', 'linewidth', 3);
line([6.5 6.5 12.5 12.5 6.5],[6.5 12.5 12.5 6.5 6.5], 'color', 'k', 'linewidth', 3);
%axis ij;
daspect([1 1 1]);
yticks(1:12);
xticks(1:12);
xlabel('trial b');
ylabel('trial a');
colormap je... |
186965285b2c819c7a0bfecdb7176f0b1536f62aa3bc24f8763b741360ddfb52 | MATLAB | 369 | 19 | function d = measureLinearity(vec1, vec2, keep)
if ~exist('keep', 'var')
keep = ones(length(vec1),1);
end
d.fit = polyfit(vec1,vec2,1);
d.range = linspace(min(vec1),max(vec1),100);
d.range_Norm = d.range - d.range(1);
d.yfit = d.fit(1)*d.range + d.fit(2);
d.yfit_Norm = d.yfit - d.yfit(1);
d.R = corrcoef(vec1,v... |
fcc94950d916b4592459516327270039c48713d61217db38dc431e6397f82ba6 | MATLAB | 369 | 13 | function Tracks = FilterTracksBySize(Tracks, min_size, max_size)
selected_indecies = [];
for track_index = 1:length(Tracks)
worm_size = mean(Tracks(track_index).Size);
if worm_size > min_size && worm_size < max_size
selected_indecies = [selected_indecies, track_index];
end
... |
ab1776fe286defa6e07fec11f35bf9b43c6747b056d36a759700f95b3b31074b | MATLAB | 371 | 16 | %
% Compute zero prediction, i.e. always predict zero.
%
% PARAMETERS
% a Adjacency/biadjacency matrix
% at (e*2) Vertex pairs for which to compute predictions
% format
% weights
%
% RESULT
% predictions Struct by subname of (e*1) Predictions
%
function [predictions] = prediction_local_compute_zero(a, at, format, w... |
0f92e7dd3444671f184bc14538fc7041663658a58025312e0a4e3c78d9e12629 | MATLAB | 372 | 19 | function blocks=SONDelBlocks(fh, chan)
% SONDELBLOCKS returns the number of deleted blocks in file FH on channel CHAN
%
% BLOCKS=SONDELBLOCKS(FH, CHAN)
%
%
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
if nargin<2
blocks=-1000;
return;
end;
bloc... |
caeff917272596916b77a466b80b1b896e085515777744cd6ff8acd587f68f23 | MATLAB | 372 | 16 | function [D,entropies] = findListKLDivergences(data,data2)
%finds the KL-divergences (D) and entropies between all rows in 'data' and
%all rows in 'data2'
logData = log(data);
entropies = -sum(data.*logData,2);
clear logData;
logData2 = log(data2);
D = - data * logData2';
D = bsxfun... |
d7e18638539bea46f045fcfdd63fc5fa2a473f0603a5c5ae8dc09388d9559d98 | MATLAB | 372 | 14 |
%
% Return the types that can be passed to distrtest_plot().
%
% RESULTS
% types Cell array of all type names
%
function types = distrtest_types()
types = {'normal', 'lognormal', 'logistic', 'loglogistic', 'cauchy', 'logcauchy', ...
'gumbel', 'weibull', 'hsd', 'loghsd', 'exp', 'pareto', ...
'gamm... |
f307a49284e279dac6e1d81eabf4285150952e3591ccff962be7f935afbe1a45 | MATLAB | 372 | 23 |
classdef avalanche
properties
label
startTime
endTime
size = 1;
%event = []; %first row is the pixel second row is the time
duration = 1;
merged = false;
roots = [];
rootTime = [];
%avtime = [];
end
methods
... |
66e72634bc63e8a4ed6be57a2c5ae4b422ba4ceeafbfc363f35f5d3590d52cfb | MATLAB | 374 | 7 | function text=text_after_reading_path(handles)
text=['There are '...
num2str(handles.participants.N) ' individual studies listed in this file.',...
' Based on the naming using in the file, the data comes from ',...
num2str(handles.participants.unique_ids) ' unique ids and has been processed using ',...
num2str(han... |
95380233aa767fe27d1ce7535c4d9d9d807e51aa88d90a4efb152d720a482926 | MATLAB | 374 | 8 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [SessionsToGroups] = load_sessions_to_groups_table(analysisSettings)
if ~analysisSettings.IS_CALCIUM_DATA
SessionsToGroups = load_tetrode_sessions_to_groups_table();
else
SessionsToGroups = load_calci... |
bb82c327378be0cd5de961f0c9fb26bfd621de7c0ac06eb0d2efcc8027341ee8 | MATLAB | 374 | 13 | function [] = write_log(log_file, log_entry)
% write to a specific log file
if ~exist(log_file, 'file')
fileID = fopen(log_file,'w');
fwrite(fileID,['Script_Name,Status,Time,Folder_Name,JobID,Computer_Name,Comment', char(10)]);
else
fileID = fopen(log_file,'a');
end
fwrite(... |
5575f461a0f8814c719d0e346ffa16880f2aca23699d7fe7ef10caa982c4e86b | MATLAB | 375 | 16 | function fh=OpenMATFile(filename)
% Open MAT file for use by SON library
%
% This function is called when writing data to a standard MAT-file.
% Called from the MATLAB SON library
%
% Malcolm Lidierth 07/06
% Copyright © The Author & King's College London 2006
file=dir(filename);
if isempty(file)
MakeMATFile(filen... |
89b55704490f7e72276a0ac97a38e7b8a42e6f9d6c81d9a5f7af61f2a54b4e36 | MATLAB | 375 | 13 | function CM = SymbDistCM(NoSD)
%
% Colormap used to represent differen Symbolic Distance in
% (Di Antonio et al., bioRxiv 2023, DOI: 10.1101/2023.08.03.551859).
%
% Copyright Maurizio Mattia - Mar. 3, 2023
%
PosSD = [255 80 155]/255;
NegSD = [70 180 255]/255;
% NoSD = 4;
CM = flipud((PosSD' * lins... |
2ab864e02be5d38d7e25a10c53df2a1ad1e57b4e467512f14ba683ae13613af8 | MATLAB | 376 | 24 | % plotXYTraj.m
%
% Function to plot fly's trajectory in x-y space, where time is color coded
%
% INPUTS:
% xPos - x position
% yPos - y position
% t - time
%
% OUTPUTS:
% none, but generates plot
%
% CREATED: 12/12/18 HHY
% UPDATED: 12/12/18 HHY
%
function plotXYTraj(xPos, yPos,t)
figure;
sca... |
5d0bee4b14557c5f5182402df0c15f651bf9312d586086df828c150c5bfec410 | MATLAB | 376 | 12 | % try reading excel file
[num,txt,raw] = xlsread('opF rmap summary.xlsx');
Sesname = '20160730Thalamus43_opF_W';
CellGroupName = 'o-t nice graded';
titles = txt(1,:);
iSesCol = find(strcmp(titles,'opF Session'))
iSesname = find(strcmp(txt(:,iSesCol),Sesname))
iCellGroupCol = find(strcmp(titles,CellGroupName)... |
3021468ce4f71f298d637bd16094bd420c90c800a6a465d6da7a215491525115 | MATLAB | 377 | 16 | function SaveFigureSVG(figname,w,h)
% figname: path/name.png for the Figure
% w,h: width and height of the Figure (centimeters)
if(nargin <2)
w = 20;
h = 10;
end
%%%%%%%%%%%%%%%%%%%%
fig = gcf;
fig.PaperPositionMode = 'auto';
%fig.PaperUnits = 'inches';
fig.PaperUnits = 'centimeters';
fig.PaperPosition = [0 0 w h]... |
65afb1d56a97d05c968a5b9f5c90d4d0bdf71afdb298af948bfc18361b80822e | MATLAB | 377 | 11 | function [json] = mulana_json_read(filename)
% Read in the json file
if ~isfile( filename )
error('Cannot read the json file (%s), as it does not exist.', filename);
end
try
json = jsondecode( fileread(filename) );
catch ME
error('Error encountered while reading json from (%... |
9b966db72f795b02d961a2851e165d1434856aeddc37c0d1f2fbc8f66f4a59a7 | MATLAB | 377 | 14 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [rateVector] = calculateMfrVector(s, label)
nTrials = length(s.trial);
rateVector = nan(1, nTrials);
for tr = 1:nTrials
idx = strcmp(s.trial(tr).label, label);
if ~any(idx)
rateVector(tr) = nan;
else
... |
a7f1916571490de008312908b8dc1260da1c67c0073911343194fd66815fa5fd | MATLAB | 377 | 16 | function SaveFigurePNG(figname,w,h)
% figname: path/name.png for the Figure
% w,h: width and height of the Figure (centimeters)
if(nargin <2)
w = 20;
h = 10;
end
%%%%%%%%%%%%%%%%%%%%
fig = gcf;
fig.PaperPositionMode = 'auto';
%fig.PaperUnits = 'inches';
fig.PaperUnits = 'centimeters';
fig.PaperPosition = [0 0 w h]... |
330489e7d2263e4a78a29007f0affd59829d2bb15d115ebcdd0c431b721ced4f | MATLAB | 378 | 10 | function activate_func_had_fin(SC,OPT_S)
% activate final function on SLMs, depending on flags
f_mat = rot90(OPT_S.f_fin,2);
f_py = OPT_S.f_fin;
if(OPT_S.las_SLM_flag == 1)
las_SLM_func(f_mat,SC,SC.ramps.fx_laser,SC.ramps.fy_laser,OPT_S.SLM_flag_nearest);
end
if(OPT_S.cam_SLM_flag == 1)
cam_SLM_func(f_py,SC,SC.... |
942ab82489522389d4ac9ca2cfe21b3d7177e63bb1437f979bc49b4fb8e3289f | MATLAB | 378 | 15 | % mglDisplayCursor.m
%
% $Id$
% usage: mglDisplayCursor()
% by: Justin Gardner
% date: 02/10/07
% copyright: (c) 2007 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: display/hide cursor
% usage: mglDisplayCursor(0) hide cursor
% mglDisplayCursor(1) display c... |
9651e63d50f7cb341f137b04141514e35f97851d6ec194b9896a3759429c69a2 | MATLAB | 378 | 16 | N = 10000 ;
dimension = 2 ;
data = rand(dimension,N) ;
numClusters = 20 ;
cc=hsv(numClusters);
[centers, assignments] = vl_kmeans(data, numClusters);
figure
hold on
for i=1:numClusters
plot(data(1,assignments == i),data(2,assignments == i),'.','color',cc(i,:));
end
plot(centers(1,:),centers(2,:),'k.','Mar... |
a70cb46020f1f728bfc9b50382c3d772f87e57b6e70f42f15230f195c7a8014c | MATLAB | 378 | 17 | function [err]=SONCloseFile(fh)
% SONCLOSEFILE closes an opened SON file
% ERR=SONCLOSEFILE(FH) where FH is the SON32.DLL handle for the file
% Returns zero if all OK.
%
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
if nargin ~= 1
err=-1000;
retur... |
aa1b92c2ad165d4986f7980545212333bf7cfe8a2f9ba3f9610a9fe64c17c33c | MATLAB | 378 | 14 | % SoftThresh Algorithm
% last modified by Lijun Bao 06/23/2013
function [y,s] = SoftThresh(x,t)
s = abs(x) - t;
s = (s + abs(s))/2;
y = sign(x).*s;%
% Copyright (c) 2006. Iddo Drori
% Part of SparseLab Version:100
% Created Tuesday March 28, 2006
% This is Copyrighted Material
% For Copying permissions see... |
e4024fdb894fc0af2af1048134cc1e8c7dda130d33553042c962f51ea603a49c | MATLAB | 378 | 21 | function im = im2col_general(varargin)
%
NumInput = length(varargin);
InImg = varargin{1};
patchsize12 = varargin{2};
z = size(InImg,3);
im = cell(z,1);
if NumInput == 2
for i = 1:z
im{i} = im2colstep(InImg(:,:,i),patchsize12)';
end
else
for i = 1:z
im{i} = im2colstep(InImg(:,:,i),patchs... |
098899348bda96e84826c256dda4ccd869ed47f919991fbcf1d4bdc38d483c46 | MATLAB | 379 | 9 | function helper_bfo_save_percell_placey(outputFolder, perCell, rotDeg)
if ~exist(outputFolder, 'dir')
mkdir(outputFolder)
end
outputFilename = fullfile(outputFolder, sprintf('bfo_%d_placey_percell.mat', rotDeg));
fprintf('Saving best fit orientation data (per cell) to file: %s\n', outputFil... |
22753cb3ed24ce381dca75c1924df768e7395e17633f55cffb8cc5e10019461f | MATLAB | 379 | 12 | function [timeScaleFactor] = ml_util_timeunit_to_s_scalefactor( timeUnits )
switch timeUnits
case 'seconds'
timeScaleFactor = 1;
case 'milliseconds'
timeScaleFactor = 10^3;
case 'microseconds'
timeScaleFactor = 10^(6);
otherwise
error('... |
768dd5249a67b6d434c185b3896bf4fdae424f53bd01731db9d4c775d9665c3e | MATLAB | 379 | 13 | %% Place all *.fig files in a directory called "data" and CD in to the parent directory.
image_data = load_data();
new_image = zeros(size(image_data{1})); %create blank array to sum data in to
for x = 1:length(image_data)
new_image = new_image + image_data{x}; % Sum images
end
imagesc(ne... |
a7c3bd267b31b0b61eb829f72820e2d5b25dd656869e8f68a7eeec31285ac958 | MATLAB | 379 | 15 | function h = reduce_plot(varargin)
% h = reduce_plot(varargin)
%
% This is a light wrapper function for LinePlotReducer. It accepts exactly
% the same arguments, but returns plot handles instead of a LinePlotReducer
% object. See 'help LinePlotReducer'.
%
% Tucker McClure
% Copyright 2013, The MathWorks, Inc.
lp... |
16823f9f134f9d3b22d672e885fc04be5ba9683afe5905a3fef13a64022e86d6 | MATLAB | 380 | 11 | function remove_previous_result(path_of_script,inx_voxel,voxel_folder,index_snr,simulated_SNRs)
directory = [path_of_script filesep 'simulation_data' filesep 'simulation_of_paper_data' filesep voxel_folder{inx_voxel} filesep 'simulated_SNR_' num2str(find(simulated_SNRs==index_snr)) filesep];
try
rmd... |
e203230eee93a5be76079dc4c297ec3489ab890f21a52ff64483f362a7b6aa99 | MATLAB | 380 | 14 | function t = numel(obj)
% Number of simple file arrays involved.
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: numel.m 8776 2013-11-14 09:04:48Z roboos $
% Should be this, but it causes problems when accessing
% obj as a... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.