sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
cc3b1e0c2559139153e10690b8c4345fd4b53a8b9a7b0bac5d246ca0d8e24c1e | MATLAB | 450 | 19 | function BackupAnnotations(self)
t = now;
d = datetime(t,'ConvertFrom','datenum');
d.Format = 'yyyy-MM-dd_HH-mm-ss';
backup_folder = fullfile(self.ProjectPath, 'annotations_backup', char(d));
mkdir(backup_folder)
if self.VerboseLevel > 1
fprintf('Backing up annotations to ./annotations_backup/%s... ', char(d))
e... |
5e7a88cec7c6a58f7944f78fecc1c72741d702a8518051a9c3db7f54bd80c985 | MATLAB | 453 | 18 | function mptag = ModifyParamTag(ptag,c)
% mptag = ModifyParamTag(ptag)
%
% Helper function that takes a string and replaces non-alphanumeric values
% with underscores (or optionally, c).
%
% Daniel.Stolzberg@gmail.com
if nargin == 2
assert(ischar(c) && isscalar(c), 'If specified, c must be a single char... |
0aa20079c1061e71875cc776a65c8d40ee39e58f2b1d297cae0d2d4f89e5c199 | MATLAB | 454 | 18 | function [f,g,nh_2] = poissSoftRecLL(x, y, dt)
if(nargout > 2)
[rate,drate,d2rate] = kgmlm.utils.softrec(x);
g = -drate*dt + y.*(drate./rate);
nh_2 = sqrt(max(0, -1 * (-d2rate*dt + y.*((d2rate.*rate - drate.^2)./(rate.*rate)))));
elseif(nargout > 1)
[rate,drate] = kgmlm.utils.softrec(x);
g = -drat... |
d5d6499d04395dfb9609c18e6e5b8362d685f44b45552f95f02e0f8204e82e63 | MATLAB | 455 | 12 | function [svm_predict_TGM,tst_target_TGM,svm_scores_TGM] = f_test_all_times_TGM(blockDat_filtData,blockNum,train_b,mdl,tstl)
for t_test = 1:size(blockDat_filtData,3)
dataAtTest = squeeze(mean(blockDat_filtData(:,:,t_test),3));
tstD = dataAtTest(blockNum==train_b,:);
[preds, scores] = predict(mdl, tstD... |
842519ec75281483a85f61eca5c5719599cf885db551b69f9dec4069bc3a92dd | MATLAB | 456 | 23 |
datadir = 'E:\RawData\PPP_236393\';
filenames = dir(fullfile(datadir,'*.mat'));
filenames = {filenames.name};
for ii = 1:numel(filenames)
load(fullfile(datadir,filenames{ii}));
if isfield(epData.epocs,'DLAM')
epData.epocs.dBSP = epData.epocs.DLAM;
epData.epocs = rmfield(epData.epocs... |
e8e75343bbe5391501d6f0eda60cb346fb7a015cb061c6df6432da2860637992 | MATLAB | 456 | 15 | function [control, cooled] = filterByTemperature(X, options)
if isempty(X)
[control, cooled] = deal([]); return
end
% Split by temperature
coolThreshold = options.coolThreshold;
warmThreshold = options.warmThreshold;
controlRows = X.LeftTemperature >= warmThreshold & X.RightTemperature >= warmThreshold;
cooledRo... |
54d7b5e1ac57c1e3c49d1e04855bda2ccf9e0930bbbdfa9d99cd7e81e272aeb8 | MATLAB | 458 | 18 | cd('/data/hammer/space0/model/nz_goals/tests/mgTask/')
clear all
mgNet;
mgRunTrial(n, e, 1, 2, 2);
plotItems = {'state', 'adjFuture', 'proxPast', 'next', 'stateSim', 'goalOut',...
'qIn', 'qStore', 'qOut', 'n_bg', 'motorIn', 'motorOut', 'conjDes',...
'conjObs', 'conjOut'};
times = [.05,30];
fileName = '';
%... |
6a26da5d99846b6ed3c7fcd34b6c29e2a69e192d8e72cd3f8daa6aebafa77fd1 | MATLAB | 458 | 18 | function UpdateAnnotationsFromClipTable(self, varargin)
if nargin == 2
clipTable = varargin{1};
else
clipTable = self.ClipTable;
end
uniqueVids = unique(clipTable.Video);
for i = 1:length(uniqueVids)
isCurrVid = strcmp(clipTable.Video, uniqueVids{i});
currVidT = clipTable(isCurrVid, :);
currAnnotT... |
7978e5fa9018127a078f9a2e2aec8774f9eeddd990e8339e9a3a1055ba78a42e | MATLAB | 458 | 15 | function build_neuron_dll(nrnModel)
pathToModFiles = ['neuron-demo\neuron\' nrnModel];
pathToDLL = fullfile(pathToModFiles, 'nrnmech.dll');
if ~isfile(pathToDLL)
pathToNrnivmodl = '%NEURONHOME%\bin\nrnivmodl.bat';
[status, cmdout] = system(sprintf('cd %s & %s', pathToModFiles, pathToNrnivmodl));
if status =... |
cc7c1e72254c8571c00cf3fae4c71d5a71388137c97b6de251470bb4ac9cd5e2 | MATLAB | 458 | 18 | % Textual representation of any MatLab value.
% Copyright 2009 Levente Hunyadi
function s = var2str(value)
if islogical(value) || isnumeric(value)
s = num2str(value);
elseif ischar(value) && isvector(value)
s = reshape(value, 1, numel(value));
elseif isjava(value)
s = char(value); % calls java.... |
1644ddb5abe06e387b74476c5b6d7a8ecb4edd8bb8d709615ac651a375e8a1fc | MATLAB | 459 | 22 | function self = Load(self, varargin)
% Load annotation table from file
if nargin == 2
includeAll = true;
else
includeAll = false;
end
if ~isfile(self.FilePath)
return
end
s = load(self.FilePath, 'AnnotationTable');
self.AnnotationTable = s.AnnotationTable;
if self.MultiCam && ~includeAll
ts = self.A... |
9e6757615e3d576c0952bfe140d9bac75806a14bb6d8ac2d485c21b5e5dbe05d | MATLAB | 459 | 25 | function ind = findColumnIndex_SanesLab(handles,colnames,colstr)
%Custom function for SanesLab epsych
%
%This function finds the index of colstr in colnames
%Inputs:
% colnames: cell array of column names
% colstr: string containing column name of interest
%
%
%Written by ML Caras 8.4.2016
global RUNTIME
if RUN... |
3516168ce2b3517f1a6584e30db50f2347ddbd93cfdf414a07ac003e0fcc09dc | MATLAB | 460 | 20 | function handles = updateNextTrial_SanesLab(handles)
%handles = updateNextTrial_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function updates the GUI Next Trial Table
%Input:
% handles: GUI handles structure
%
%Written by ML Caras 7.27.2016
global USERDATA
%Create a cell array containing the in... |
6c8b407759c92fee3c47151511233c03ec5a404fdb4e7eae185a410d69ede076 | MATLAB | 460 | 17 | function plot_nerve_section(model, args)
[pgonEpi, pgonEndo, pgonElec, geomAS] = nerve_cross_section(model, args);
figure;
hold on;
axis equal;
plot(pgonEpi);
plot(pgonEndo);
plot(pgonElec);
cellfun(@(as) plot(as(:,1),as(:,2), 'r', 'LineWidth', 3), geomAS);%plot(pgonAS);
% for iLineAS = find(lineAS)
% ... |
fd9f11312c0b3cebb231ddca2001b6ea24e535997297508f6c243103d629e80d | MATLAB | 461 | 16 | function folder = make_dated_folder(parentFolder, baseName)
if ~isfolder(parentFolder); mkdir(parentFolder); end
if exist('baseName', 'var')
folder = fullfile(parentFolder, [baseName ' ' datestr(now, 'yyyy-mm-dd HH.MM.SS')]);
else
folder = fullfile(parentFolder, datestr(now, 'yyyy-mm-dd HH.MM.SS'));
end
... |
756c4cb30c8deb15ef573e16bd1993e7b46b833c73e4538889782dea6c356afe | MATLAB | 462 | 9 | function myelinfiber_density = builtin(nerve)
myelinfiber_density_file = dir([get_base_paths().dist 'myelinfiber_density*' nerve '*.mat']);
if isempty(myelinfiber_density_file)
fiber_distribution.builtin.myelinfiber_densityVSage_generator;
myelinfiber_density_file = dir([get_base_paths().dist 'myelinfiber_d... |
27af6e9b9bd2da0f66eb9a02ca03f8317277d5c124815bbe462be45ca511a82f | MATLAB | 463 | 26 | function x = correctAzi_1D(FASTRAK)
% x = correctAzi_1D(FASTRAK)
%Corrects azimuth based on translations of the head
%
% See also pollFastrak2, pollFastrak_InTrial2
%
% Stephen Gordon 2016
x = FASTRAK;
sideA = FASTRAK(9);
if abs(sideA) < 1
return
end
if sideA > 0
angleB = 90 + FASTRAK(5);
angleA = asi... |
ec26243d085702023bcc8bd1bdc42484650359e20e4be26aa08f4570da2454b6 | MATLAB | 463 | 15 | function [annotIdxs, unannotIdx] = GetAnnotationIndices(self)
self = self.Load();
if isempty(self.AnnotationTable)
annotIdxs = [];
unannotIdx = [];
return
end
isAnnot = self.AnnotationTable.Type == categorical({'I'}) | ...
self.AnnotationTable.Type == categorical({'A'}) | ...
self.Anno... |
4094935d9135747fb1e80b527c613453faee9627a7d64a07b060bad09e0c6974 | MATLAB | 466 | 20 | function runspksorter(Pname)
clear all
close all force
clc
% Run spike sorting functions. This is for after preprocessing steps.
% Created 23 April 2016 JDY
if( nargin < 1 )
subject = '231516';
session = 'B';
Pname = '/Users/justinyao/Sanes Lab/Experiments/PROJECTS/AM RATE/Ephys/processed_data/';
end
H = Spi... |
9b52c625e13a1fb56533057d55d0311898f8ec153115741b881c43fa8c8361e2 | MATLAB | 466 | 18 | function x = compareHeading(curHeading,Headings,Tol)
% x = compareHeading(curHeading,Headings,Tol)
%
% Compare the current heading value to a 1xN vector of target Headings +/-
% a specified tolerance.
%
% Stephen Gordon 2016
Hvec = repmat(Headings,2,1)+Tol*[-ones(size(Headings)); ones(size(Headings))];
for x = 1:le... |
fd6587c43979acec2ef89c3983adb4a4abb3b18e733d4432910dcbd75cc41820 | MATLAB | 466 | 20 | function dnrg = video_differentialEnergy(videofile)
% Function calculates the difference between voxels between adjacent frames
% Estimate of "movement/change" of image
%
% Severi Santavirta & Juha Lahnakoski
vidIn = VideoReader(videofile);
dnrg = zeros(vidIn.NumFrames,1);
imLast=zeros(vidIn.Height,vidIn.Width,3);
t... |
8e44fc9b7179e05be274f219ebfc55e1353a29b7cdfeec6b68bc8316ab532dfc | MATLAB | 467 | 13 | function [im,fname]=tpreadframe(dirname,fnameprefix,cycle,channel,frame)
%TPREADFRAME
% read frame from multitiff
%
% 2008, Alexander Heimel
% 2017, Steve Van Hooser
%
fname=fullfile(dirname,tpfilename(fnameprefix,cycle,channel,frame));
cycle_string = ['Cycle_' int2str(cycle)];
%im=imread(fname,frame,'inf... |
39aa4c78fc35c51e3123e02dee817a7739f4042716b558ffa2995f732f34d74a | MATLAB | 468 | 13 | function [subjects, electrodes] = scrape_stored_data()
subjects = {dir('data\Nerve\*_noElectrode').name};
subjects = cellfun(@(n) n(1:end-12), subjects, 'UniformOutput', false);
electrodes = cell(1, numel(subjects));
for iSubject = 1:numel(subjects)
subj = subjects{iSubject};
electrodes{iSubject} = {dir(['dat... |
22c094ba52e593203807c36f9e92f111726bad6fc17eeb9184009103eabc5c65 | MATLAB | 469 | 23 | function testFASTRAK()
try
if isempty(FASTRAK) || ~isa(FASTRAK,'serial') || isequal(FASTRAK.Status,'closed')
FASTRAK = startFastrak;
set(FASTRAK,'BaudRate',115200);
%fprintf(FASTRAK,'u');
end
catch me
if isequal(me.identifier,'MATLAB:serial:get:invalidOBJ')
FASTRAK = startFa... |
1090a56b388c22a65028d71837dcf7c696aeb8d6950c54a83426dfc1b7c052a2 | MATLAB | 470 | 15 | function [ci] = getBootCI(vals, alpha)
%getBootCI Calculation of bootstrap confidence intervals for 'vals'
%times, 10000 bootstrap samples per default
% 'vals' are the input values. First dimension are observations
% (e.g.trials): vals = [trials x time]
nBoots = 10;
bootType = 'per'; % 'per' or 'bca' (slow)
f =... |
151f62078b32d7d0c28017fdc425430cc0d7b5d23d323f09faac3958cd7744ef | MATLAB | 470 | 15 | close all hidden;
exportResults = true;
[swEsts, nswEsts, swLabels, nswLabels, bias_means, bias_stdevs] = simulateSwitchNoSwitch(runParallel=true);
plotFrame = 34;
plotSwitchInitHeadingBias(plotFrame, swLabels, bias_means, bias_stdevs);
if exportResults
expPath = 'results/switchExp';
% Labels
writet... |
2af91799b2c018e8ba7ba85c98f7469980aca7755d451853a097c01ffc530d42 | MATLAB | 470 | 18 | function RUNTIME = ep_TimerFcn_Error(RUNTIME, AX)
% ep_TimerFcn_Error(RUNTIME, RP)
% ep_TimerFcn_Error(RUNTIME, DA)
%
% Default Error timer function
%
% Use ep_PsychConfig GUI to specify custom timer function.
%
% Daniel.Stolzberg@gmail.com 2014
% Copyright (C) 2016 Daniel Stolzberg, PhD
% not doing a... |
29690728712e0319f32fc545e0808909c25f5c864d1becc50c86c6aaee35c62a | MATLAB | 471 | 10 | function SeeProgress(i)
% SeeProgress(i) outputs i without performing carriage return
% This function is designed to be used in slow for-loops to show how the calculations progress
% If the first call in the loop is not with i=1, it's convenient to call SeeProgress(1) before the loop.
if i==1 | i==0, fprintf('\n ... |
cb483390a5d04a01ef78e45dbfbce4e496c07025c19a87cc1449af0a5b682d7f | MATLAB | 471 | 16 | function AddFloatElement( DOM, Node, Name, Matrix )
%ADDFLOATELEMENT Summary of this function goes here
% Detailed explanation goes here
ChildNode = DOM.createElement(Name);
numCols = size(Matrix, 1);
if(numCols > 1)
ChildNode.appendChild(DOM.createTextNode(num2str(reshape(Matrix', 1,[]), '%g ') ... |
2d13c6131d872f6c88ed8c880b472fc6759a0147aa28fee09f18483242588c70 | MATLAB | 472 | 26 |
function diffStr = f_setdiffstr(StrLarger,StrSmall)
diffStr = '';
S_index = [];
count = 0;
for Numofstr = 1:length(StrSmall)
[C,IA] = ismember_bc2(StrSmall{Numofstr},StrLarger);
if C==1 && IA<=length(StrLarger)
count = count+1;
S_index(count) = IA;
end
end
diff_index = setdiff([1:len... |
5300548313ef7e2e8b9b0dfe1cb5a3cebec1f0d732303d11c7c5ba78bf5473eb | MATLAB | 472 | 14 | function [region_info] = get_region_info()
%GET_REGION_INFO return region info
m = load(fullfile(util.get_paths().data_versioned,'region_info',...
'initial.mat'));
region_info = m.initial;
region_info.RGB_normalized = region_info.RGB ./ 255;
region_info.Properties.RowNames = cellstr(region_info.Name);
% Merge, X, ... |
686b15e35f15ed16680d5148a053d06d319f3863efd269c9d67befa08005ed58 | MATLAB | 472 | 19 | function auto_reorient(p)
if ~nargin
[p,sts] = spm_select(Inf,'image');
if ~sts, return; end
end
p = cellstr(p);
vg = spm_vol(fullfile(spm('Dir'),'canonical','avg152T1.nii'));
tmp = [tempname '.nii'];
for i=1:numel(p)
spm_smooth(p{i},tmp,[12 12 12]);
vf = spm_vol(tmp);
M = spm_affreg(vg,vf,struct('... |
9137aea7aeb37da7589332ec9be2d3831b4b9d386de43a412eadf56d7b3dc104 | MATLAB | 472 | 11 | function fn = analyzetpstack_getrawfilename(ds,stackname,dirname)
% ANALYZESTPACK_GETRAWFILENAME - Returns the filename of the raw F analysis
%
% FN = ANALYZETPSTACK_GETRAWFILENAME(DS,STACKNAME,DIRNAME)
%
% Where DS is a DIRSTRUCT for the experiment directory, STACKNAME is the
% ANALYZETPSTACK stack name, and DIRN... |
4dc68f6becd1da6a72eb3a93e85486eab33d2ec596a3cac93437262525b80f0e | MATLAB | 473 | 18 | function tpcheckroidriftls_matchx(tagname)
% TPCHECKROIDRIFTLS_MATCHX - Matches X axis on all windows that match tagname
%
% tpcheckroidriftsls_matchx(tagname)
%
% Checks the figure that was clicked on and matches the X axis for all
% figures that share the name 'tagname'.
fig = gcbf;
ax = findobj(fig,'type','axes'... |
5546751bb808a699c231c4c12e3be7b914cd9b7bbc4587bc549caa94ae2ae4e1 | MATLAB | 473 | 12 | util.clearAll;
outdir = fullfile(util.get_paths().data_versioned, 'betas');
util.mkdir(outdir)
%% load the data and combine betas
% Read beta values and calculate their correlation
beta_tables_taste = util.load.all_taste_betas();
beta_merged = connect.preprocess.merge_into_large_tbl...
(beta_tables_taste.sep_table)... |
c07952bec407adc84aeeab583c7d9e1585afaec1a3f189587f2164ca3b9cdf5a | MATLAB | 474 | 18 | function [x, y, z, x_idx, y_idx, z_idx] = x_y_z_from_idx(idx, G)
%[x, y, z, x_idx, y_idx, z_idx] = x_y_z_from_idx(idx, G)
x_idx = rem((idx-1), G.Nx)+1;
y_idx = rem(floor((idx-1)/G.Nx), G.Ny)+1;
z_idx = floor((idx-1)/(G.Nx*G.Ny))+1;
x = zeros(length(idx), 1);
y = zeros(length(idx), 1);
z = zeros(length(idx), 1);
for n... |
ac78b4fbec0d18e410bcdbc4b4fc71372debd1b28f659f1f5c92447babd97ebd | MATLAB | 475 | 18 | function nontp = nontpdirname(dirname)
% NONTPDIRNAME - Return test directory associated with a given two-photon directory
%
% NONTPDIR = NONTPDIRNAME(DIRNAME)
%
% Given a 2-photon directory name DIRNAME, return the associated test directory,
% which may or may not be the same. This is the inverse of the functio... |
05730399130ca1e6daf8bd0606856a468531014eb3135e5f7262cacf2dc2ecc5 | MATLAB | 476 | 11 | function fn = analyzetpstack_getsavedfilename(ds,stackname,dirname)
% ANALYZESTPACK_GETSAVEDFILENAME - Returns the filename of the saved F analysis
%
% FN = ANALYZETPSTACK_GETSAVEDFILENAME(DS,STACKNAME,DIRNAME)
%
% Where DS is a DIRSTRUCT for the experiment directory, STACKNAME is the
% ANALYZETPSTACK stack name, ... |
0ec7267da839db10781b54d7d317284f5f2adc60dd1b35e47b210f14669cdc47 | MATLAB | 477 | 17 | function TRIALS = TrialFcn_AMRate_SanesLab(TRIALS)
global NOISE_CAL
%If it's the start
if TRIALS.tidx == 1
%Load noise calibration file
[fn,pn,fidx] = uigetfile('C:\gits\epsych\UserFiles\SanesLab\SpeakerCalibrations\*.cal','Select noise calibration file');
noise_calfile = fullfile(pn,fn);
dis... |
376bba501ee81e2b9914e8a7ea2ce9e4ac5de85aecc0778aaafb127eeda512b1 | MATLAB | 477 | 17 | function TRIALS = TrialFcn_FreqTuning_SanesLab(TRIALS)
global TONE_CAL
%If it's the start
if TRIALS.tidx == 1
%Load tone calibration file
[fn,pn,fidx] = uigetfile('C:\gits\epsych\UserFiles\SanesLab\SpeakerCalibrations\*.cal','Select tone calibration file');
tone_calfile = fullfile(pn,fn);
d... |
79702f41ddf7a26a1de4b51446aa2e3f31a7534bb88dcb4465217c771295e1b8 | MATLAB | 479 | 17 | function TRIALS = TrialFcn_AMRate_jitter_SanesLab(TRIALS)
global NOISE_CAL
% if it's the start
if TRIALS.tidx == 1
% Load noise calibration file
[fn,pn,fidx] = uigetfile('C:\gits\epsych\UserFiles\SanesLab\SpeakerCalibrations\*.cal','Select noise calibration file');
noise_calfile = fullfile(pn,fn);
... |
864d3b304b8409d53fcbe955fd796b30bafb4ee934778c72e6b2d899e18d3640 | MATLAB | 479 | 8 | function [startend epidur]=VsEpisodes(vs,maxep,mindur,ba)
vs=find(vs>0);
vs=[vs maxep]; dif=diff(vs); dif1=find(dif>ba); endvs=vs(dif1);
startvs=dif1+1; startvs=[1 startvs maxep];
nepivs=diff(startvs); nepi1vs=find(nepivs>mindur); % episodes longer than interruption
epidurvs=nepivs(nepi1vs); startep=vs(start... |
ee16102f0e267bca23b628d27034ec4792e73e896569ca8b9a7279f1f056c6d0 | MATLAB | 481 | 17 | function TRIALS = TrialFcn_HarmsTuning_SanesLab(TRIALS)
global TONE_CAL
%If it's the start
if TRIALS.tidx == 1
%Load tone calibration file
[fn,pn,fidx] = uigetfile('C:\gits\epsych\UserFiles\SanesLab\SpeakerCalibrations\*.cal','Select tone calibration file');
tone_calfile = fullfile(pn,fn);
di... |
440f71dec2aa8a22088f670a37005f6995cf1eb8cacc87d0ed6983bddb6e0e1e | MATLAB | 482 | 15 | % part of https://github.com/LudgerS/MRSartifactRemoval
function line = doubleVoigtSpectrum(specAxis, areas, centers, fwhms, mixingRatios, phases, pCorr1)
% add two complex voigt lines
line = complex(zeros(size(specAxis)));
for ii = 1:2
line = line + areas(ii)*exp(-1i*phases(ii)*pi/180)*...
... |
62148c04a26e46baecc86ba4b0ef11d616f1cb83ea1c45cb80e718510c4b87ba | MATLAB | 482 | 23 | function coef = find_coeff(x, y, prec)
% FIND_COEFF Finds polynome coefficient for a set of x and y values and a
% given precision.
%
% coef = find_coeff(x, y, prec)
%
% Inputs: - x: input values
% - y: output values
% - prec: precision of coefficient
%
% Outputs: - coef: vector of polyn... |
a3d39b66aea33b8b1f09eafd67d6471c58d23060b4fec11d22efe7fa4b88db65 | MATLAB | 482 | 19 | % X: data matrix, each row is one observation, each column is one feature
% D: pair-wise distance matrix
% Copyright by Quan Wang, 2011/05/10
% Please cite: Quan Wang. Kernel Principal Component Analysis and its
% Applications in Face Recognition and Active Shape Models.
% arXiv:1207.3538 [cs.CV], ... |
41469e8041bb6332aa17c2b9e11e279cb3703ca9e0e5f1d92ec1f852c59358c6 | MATLAB | 483 | 29 | function remove_motion_artifact(fn)
%%
noisy_f = load([fn '.txt']);
[nNodes, nSamples] = size(noisy_f);
%% Step 1: remove motion artifact
ma_corrected_f = nan(size(noisy_f));
for i = 1:nNodes
ma_corrected_f(i,:) = filloutliers(noisy_f(i,:),'linear','movmedian',5);
end
%%
fn2 = [fn '_ma_corrected.txt'];
fp2 ... |
e00d6b8b0276af777e6474374e798e90d48d70b9cbbbfd488ccbd9e6b974dec4 | MATLAB | 483 | 17 | function [s, trials_resp] = load_extract_sequence_info(fn_test)
% Load the useful information about the sequence of stimuli.
% Similar to load_extract_ratings.m, but without loading the ratings and
% without fitting any model.
%
% s: sequence with entries in {1, 2}.
% trials_resp: vector of the indices of the ... |
153aaf11abf47e37b240a6ed324a1da628071cc809295099904375cc881640b9 | MATLAB | 486 | 12 | function clips = clip_signals3(multichannel_signal, time_stamps, sample_rate, clip_length)
n_samples = round(clip_length * sample_rate);
clips = nan(size(multichannel_signal,1), n_samples, length(time_stamps));
i_time_stamps = round(time_stamps * sample_rate);
for i = 1:length(time_stamps)
... |
3cdfcbf3405b62bbafc515c9e7df8e285511cbf05e0e22b520fcef5d70449c02 | MATLAB | 486 | 14 | function [detr_data] = detrendData(data, poly_num)
% Detrends inputed data based on the polynomial order input
num_cells = size(data,2); % number of cels
detr_data = cell(1,num_cells); % preallocate space for vargOut
t = data{1}(:,2); % time vector
% Detrend each trace using the polynomial input ... |
3d2923d6ad98eefe36f77bf2ef88b3e171530d1f033eaa2e030c21571215a406 | MATLAB | 486 | 17 | function mae = CalMAE(smap, gtImg)
% Code Author: Wangjiang Zhu
% Email: wangjiang88119@gmail.com
% Date: 3/24/2014
if size(smap, 1) ~= size(gtImg, 1) || size(smap, 2) ~= size(gtImg, 2)
error('Saliency map and gt Image have different sizes!\n');
end
if ~islogical(gtImg)
gtImg = gtImg(:,:,1) > 128;
end
smap = ... |
717f5bff95d5b07c2dec2f0a6a41ff4a19a6882dc8b914d75bc201924bc63dd2 | MATLAB | 486 | 17 | function [volume] = sub_volume(volume, hemisphere)
%SUB_VOLUME select the hemispheres to keep in the volume
lateral_size = size(volume, 2);
assert(rem(lateral_size, 2) == 0);
center_line = lateral_size / 2;
switch hemisphere
case 'right'
volume(:, 1: center_line, :) = 0;
case 'left'
volume(:, ce... |
8464b61fb9b1271c8864b2f679c5a39774a745f589a5da8c70d7180a36348f23 | MATLAB | 486 | 14 | function studyTag = find_study(FEM, elecIdOrLabel, asId)
if nargin == 3
pattern = sprintf('%d.%d$', elecIdOrLabel, asId);
else
assert(nargin == 2);
pattern = ['^' elecIdOrLabel '$'];
end
studyTags = FEM.study().tags;
studyLabels = arrayfun(@(tag) char(FEM.study(tag).label), studyTags, 'uni', false);... |
01ea4a3a3b87b61c4a887199c70b92946a6053870e6d70bac1f39e4251525424 | MATLAB | 487 | 17 | function save_stack(stacks, filename)
%SAVE_STACK saves stack in uint8 format
% save_stack(stacks, filename)
% Inputs:
% stacks: data(uint8) to save
% filename: filepath+filename to save
assert(max(stacks(:)) <= 255, 'image data to be saved must be in 8-bit')
stacks = uint8(stacks);
depth ... |
4f633c12587f585365b667024c10b8cc0c35d924256b192732533c7b27fc7830 | MATLAB | 487 | 16 | % part of https://github.com/LudgerS/MRSartifactRemoval
%
function line = tripleVoigtSpectrum(specAxis, areas, centers, fwhms, mixingRatios, phases, pCorr1)
% add three complex voigt lines
line = complex(zeros(size(specAxis)));
for ii = 1:3
line = line + areas(ii)*exp(-1i*phases(ii)*pi/180)*...
... |
6d49cf4442b9828e18e730d3734734320a1174ec1a2e23c73c384983f9667030 | MATLAB | 488 | 20 | function Vars = getQdecVars(Qdec)
% Vars = getQdecVars(Qdec)
%
% Returns a one dimensional cell string array with the name of the variables
% in Qdec.
%
% Input
% Qdec: Two dimensional cell string array of Qdec data.
%
% Output
% Vars: One dimensional cell string array.
%
% $Revision: 1.2 $ $Date: 2015/01/06 17:14:53 ... |
b68852e8a769ac0ce44b2862cc0c8ee1c962b0ea26f2c060b5d9876b4e9bd0c6 | MATLAB | 488 | 18 | function e = enow(n2,n1)
% e = enow(n2,n1)
%
% Helper function to compute elapsed time between scalar values returned
% from calls to NOW function.
%
% Inputs can also be matrices of equal number of elements.
%
% Converts NOW values to [y,m,d,h,min,s] and calls ETIME.
%
% Daniel.Stolzberg@gmail.com 2015
assert(num... |
c1c4d0a7b386ea1bdb16650af98d949fd93360cf4291a0a945d5d49416400851 | MATLAB | 488 | 17 | % Demonstrates how to use the matrix editor.
%
% See also: MatrixEditor
% Copyright 2010 Levente Hunyadi
function example_matrixeditor
fig = figure( ...
'MenuBar', 'none', ...
'Name', 'Matrix editor demo - Copyright 2010 Levente Hunyadi', ...
'NumberTitle', 'off', ...
'Toolbar', 'none');
e... |
dbb6c950b1f21e033abf5af2a96ac154a435a16ec01951aaade28dc1f60fad5b | MATLAB | 490 | 14 | function basePaths = get_base_paths()
conf = get_conf();
dataPath = conf.dataDir;
basePaths = struct();
basePaths.data = dataPath;
basePaths.MRG = fullfile(dataPath, 'MRG', filesep);
basePaths.models = fullfile(dataPath, 'Models', filesep);
basePaths.dist = fullfile(dataPath, 'Dist', filesep);
basePaths.compa... |
dde10767e7da85a21b5d5205bff6d9121ab0ad74d1a48d5a8ac40b75b2013fbb | MATLAB | 490 | 17 | % Demonstrates how to use the property editor.
%
% See also: PropertyEditor
% Copyright 2010 Levente Hunyadi
function example_propertyeditor
% create figure
f = figure( ...
'MenuBar', 'none', ...
'Name', 'Property editor demo - Copyright 2010 Levente Hunyadi', ...
'NumberTitle', 'off', ...
... |
009133db1accfbfffb95338920461fbb94bf29d0f5622e245aa635886857ea71 | MATLAB | 491 | 17 | function [gradient_c] = colors_modules()
%COLOR_SHADE Create the color map for regions involved in the modules
% get colors and module names for each module
regions = util.str.chord_ROIs().modules;
colors = util.plot.getColors().modules;
gradient_c = cell(size(regions));
% Color gradient for each module
for i = 1:le... |
1e2f3e4813eee964a9c46290c22e096d771c78b5b0194fae72337c9e544dd5bd | MATLAB | 491 | 28 | %% PROJECT CONFIG
PROJECT_DIR = pwd ; % put base path to project her
cd(PROJECT_DIR)
%% add to the path
projPathDirs = {
'src'
'data'
'bin'
} ;
for idx=1:length(projPathDirs)
addpath(genpath(strcat(PROJECT_DIR,'/',projPathDirs{idx})))
end
clear projPathDirs
%% setup global vars
OUTSTR = 'run1' ... |
1c4fc4b4fd77a46260c0a81706d8a968338e2483f39c720866b85ce0d2554c2b | MATLAB | 493 | 19 | function [EEG,com]=pop_epochs2continuous(EEG)
com = ''; % this initialization ensure that the function will return something
% if the user press the cancel button
% display help if not enough arguments
% ------------------------------------
if nargin < 1
help pop_epochs2continuous;
return;
en... |
28cb564527fb28b01e2cc8de5fc3bb506f6210d6b837720313038ae7362e6c53 | MATLAB | 494 | 22 | function i = findincell(m,n)
% i = findincell(m)
% i = findincell(m,n)
%
% Helper function finds first n indicies of values in cell array m where
% there may be empty cells. CELL2MAT is ineffective in this case because it
% can not translate the empty cells to a numerical (logical) matrix.
%
%
% Daniel.Stol... |
af3d5898ad50f8881428f2d91699eb02f4af60bcf2971f2e7c84c8ab9fdca0ad | MATLAB | 494 | 21 | function mask = Bits2Mask(bits)
% mask = Bits2Mask(data)
%
% Converts an array of bits to a bitmask.
%
% Input must be a 1xn or nx1 array of integers or logical values.
%
% Output is a scalar unsigned integer (uint32).
%
% ex: bits = [0 1 1 1 0];
% mask = Bits2Mask(bits)
%
% See also, Mask2Bits
%... |
e460f56f4a7830dd2cdb1fe47626a07458b59cedd05d6bbb2a21a71759586024 | MATLAB | 494 | 21 | function [chan_idx_pos, all_pts_pos] = keep_positive_clusters(chan_idx, all_pts,time_vec)
% Onle keep cell entries in chan_idx and all_pts when clusters are across
% positive times.
[~,idx_0] = min(abs(time_vec-0)) ;
n_cells = length(all_pts) ;
chan_idx_pos = {} ;
all_pts_pos = {} ;
for i_c=1:n_cells
... |
2cb4a3383dcd616cb25b674ef5096dc899e46640a567733c43a5d1ee4d17995c | MATLAB | 495 | 20 | function [ step_init ] = bb_init(problem, w)
%
% Barzilai-Borwein step-size initialization:
%
%
% This file is part of SGDLibrary, GDLibrary and SparseGDLibrary.
%
% This file originally comes from https://github.com/bodono/apg.
% Modifeid by H.Kasai on Apr. 17, 2017
grad = problem.full_grad(w);
step = 1 / no... |
123e28b38d96e5d562692fb0b268d7f5e29cc9ac092b018d9cd05e971fd032b7 | MATLAB | 497 | 15 | function [out_data] = channel_zpos(data, ch_request, z_request)
%CHANNEL_ZPOS extracts the image from the data structure "data" for a
%particular channel "ch_request" and z-plane "z_request". data structure
%is that comming from bioformats
im_info_list = data(:,2);
tmp = cellfun(@(x) isRightZ(x, z_request),... |
9e5eb25ecc1d56888903bf6b707282b3d342bc092e52ae05b128803ec0f31561 | MATLAB | 497 | 12 | %% README
% Codes related to Karkali et al Developmental Cell 2022
% Contact:
% Sham Tlili <krystalysham@gmail.com>
% Timothy Saunders <timothy.saunders@warwick.ac.uk>
% Jose Munoz <j.munoz@upc.edu>
% if you have questions. Test data sets are provided.
% Test sets should be unzipped prior to use.
% Provides code for... |
af139e652ccc6af63d32ba6901110bd5c1c2571935b9f7a5176a38c68ee2e9ad | MATLAB | 497 | 30 | %%
Vb= spm_vol(Pn{1});
Yb= spm_read_vols(Vb);
V = spm_vol(Dn{1});
Y = spm_read_vols(V);
x = 20:size(Y,1)-20;
y = 20:size(Y,2)-20;
colormap gray
% colormap jet
for i = 1:size(Y,3)
% imagesc(Yb(x,y,i));
% set(gca,'clim',[0 1e6]);
% contour(Y(x,y,i),-6:0.5:6);
% set(gca,'clim',[-6 6])
%... |
7cf5fef5907c0f46a9d482e6403e4588faed292fac01afe1fadd10affc0a737e | MATLAB | 498 | 15 | function sensation = group_sensations(sensation)
%GROUP_SENSATIONS Summary of this function goes here
% Group sensations in macro areas
sensationNew = sensation;
sensationNew(ismember(sensation, [1 3 5 6])) = 1;
sensationNew(ismember(sensation, [2 4 7])) = 2;
sensationNew(ismember(sensation, [8 9 12])) = 3;
... |
04e3c2519f1320dace9d6f492ac104dab26d8c7d3217b8e9aa887a1dbbf1997a | MATLAB | 499 | 19 | function [ccStudyTag, ccSolTag, ccDsetTag] = find_cc_tags(FEM)
ccStudyLabel = 'CC study';
ccStudyTag = find_study(FEM, ccStudyLabel);
if nargout > 1
if isempty(ccStudyTag)
ccSolTag = [];
else
ccSolTag = find_sol(FEM, ccStudyTag);
end
if nargout > 2
if isempty(ccSolTag)
... |
a364e5d80a99a49a00678d421bb8bfd0a987352293a89b0bf45deadae6bdf57d | MATLAB | 499 | 12 | function [avg_corr] = write_matrix_from_table(beta_tbl, ...
var_string, f_name)
%WRITE_MATRIX_FROM_TABLE write table from table of beta values
avg_corr = connect.correlations(beta_tbl, ...
{{'L', 'R'}, {'L', 'R'}}, [], var_string);
avg_corr = avg_corr.full;
% necessary for the community detection that matrices ... |
7f8c81fbe1b05f66d4d03b29e4992c1bab6e9674857058f1f9aa5e65966137c9 | MATLAB | 501 | 16 | function xyoffset = analyzetpstack_getxyoffset(ud,dirname)
% Return the X/Y offset of a slice relative to the stack as a whole
%
% [X Y] = ANALYZETPSTACK_GETXYOFFSET(UD, DIRNAME)
%
% Where UD is USERDATA for analyzetpstack window and
% DIRNAME is the directory name to examine.
myparent = analyzetpstack_getrefdirna... |
272511cd67ec6a36f10348dc7d7ba1dbae65aee79ae9ac8b4df6423307838231 | MATLAB | 502 | 18 | function sp = create_figure( file_name);
% New figure
figure('name',file_name)
sp(1) = subplot(2,3,1); title('Signal Only')
sp(2) = subplot(2,3,2); title('Colocalized')
sp(3) = subplot(2,3,3); title('Separated')
sp(4) = subplot(2,3,4); title('Across Attn')
sp(5) = subplot(2,3,5); title('Control')
sp(6) = subplot(2,3,... |
e1bdce23a788d622027073b6f2dfc686e3496698e43c2c64575aff0af771a3ac | MATLAB | 502 | 13 | util.clearAll;
beta = util.load.beta_table();
beta = renamevars(beta, {'reset_session_index', 'session_index', ...
'only_animal_idx', 'animal_idx'}, ...
{'session_index', 'old_session_index', ...
'animal_index', 'date_tag'});
%% write beta table to mat and csv files
outdir = fullfile(util.get_paths().data_... |
fcc173faf125d0e6030532056387c80c2a761b20428efa9cba9319c194b9f2f0 | MATLAB | 502 | 12 | function [high_low_betas] = get_conc_array(tbl)
%GET_CONC_ARRY Concatenate the high and low taste betas into an array
high_low_betas = cellfun(@(x) {x.high_Betas(:), x.low_Betas(:)}, ...
tbl.beta_table, 'UniformOutput', false);
% turn it into an array
high_low_betas = cat(1, high_low_betas{:});
high_low_betas = ...... |
21a1439fbcabde5208f003d000e026c593b94b5761561d6a795ed94a893a60f1 | MATLAB | 503 | 30 | function zscore_f(fn)
%%
ma_corrected_f = load([fn '_ma_corrected.txt']);
[nNodes, nSamples] = size(ma_corrected_f);
%% Step 1: remove motion artifact
zs_f = nan(size(ma_corrected_f));
for i = 1:nNodes
zs_f(i,:) = (ma_corrected_f(i,:) - mean(ma_corrected_f(i,:))) ...
/ std(ma_corrected_f(i,:)) ;
end
... |
0149bcf5edabf4008b9e76c5c0ad7ddd19848e9392da3641e2387114149bba44 | MATLAB | 504 | 16 | % Filter elements of array that meet a condition.
% Copyright 2010 Levente Hunyadi
function array = arrayfilter(fun, array)
validateattributes(fun, {'function_handle'}, {'scalar'});
if isobject(array)
filter = false(size(array));
for k = 1 : numel(filter)
filter(k) = fun(array(k));
end... |
9f0fafaa330dd7475e2e3f18e53e4c3fb8c6aec639fd7c4a42f06dcd0c7c2f48 | MATLAB | 505 | 14 | function[names] = dblist
% dblist List MySQL databases [mym utilities]
% Example dbs = dblist
if ~myisopen
error('No MySQL connection active; use ''myopen'' to connect')
else
% new compilation of mym returns structure DJS 1/2013
dbs = mym('show databases');
names = dbs.Database;
... |
4bd66c40bdf42492ab6a3395d82ceb9a09db844395c8d6f785e20eeb57b2ed53 | MATLAB | 506 | 16 | function [compartSelectedV, nNodeSelected, varargout] = select_v_comparts(V, nNodesMax, nComparts)
% if there are more voltage values than allowed compartments ...
nNodesAvailable = (length(V) - 1) / nComparts + 1;
if nNodesAvailable > nNodesMax
[compartSelectedV, I] = max_v_comps(V, nNodesMax, nComparts);
nNode... |
b77fd900afb62393ec99d3567012c606d523eab4ee8943f7d806fdad874c241a | MATLAB | 506 | 24 | function [lp_log_x, dlp_log_x, d2lp_log_x] = inverseGaussianPrior(log_x, a, b)
% x = exp(log_x) is an inverse Gaussian
%
%when nu = 1, is half cauchy
lp_log_x = zeros(size(log_x));
log_x = log_x(:);
nx = DMC.utils.boundedExp(-log_x);
a = a(:);
b = b(:);
lp_log_x(:) = a .* gammaln(b_c) - (a+1).*log_x - b.*nx + lo... |
ed196bfb9add4477cc3466ae36d32066d76af16625d1000153a33b357004c305 | MATLAB | 506 | 17 | function [ FixedIndicies ] = AdjustVerticies( ValidIndicies, IndiciesToChange )
%ADJUSTVERTICIES Input is a set of valid indicies which is a subset of
%indicies to change.
FixedIndicies = IndiciesToChange;
memberVerts = ismember(ValidIndicies, IndiciesToChange);
nonmemberVerts = ~memberVerts;
indexToSkip = iSorted... |
43609cd516c393bcae0df9458aa000d9c5bd41a84e2021e0476d6878abd4389d | MATLAB | 507 | 14 | function [ Locs ] = ScaleLocations( Locs, scale_struct )
%SCALELOCATIONS Scale the locations structure
%Keep a copy of the original data and scale the coordinates.
[Locs(:).UnscaledX] = Locs.X;
[Locs(:).UnscaledY] = Locs.Y;
[Locs(:).UnscaledZ] = Locs.Z;
[Locs(:).UnscaledRadius] = Locs.Radius;
... |
da52f4931820ba9df87954cb3feb6037ff074a5ad57eab522ae61c8f9ee579fc | MATLAB | 507 | 14 | function [A, b, x0, lambda, lambda_max] = generate_lasso_data(n, d, k, noise_level)
[A,~] = qr(randn(n,d),0);
A = A';
p = randperm(n);
p = p(1:k); % select location of k nonzeros
x0 = zeros(n,1);
x0(p) = ra... |
15dec7ec967627c1c0596f03b3f1a9bb212f7b9a8d5ff6719701b664fc00d089 | MATLAB | 508 | 15 | function self = TrainConfidenceScorer(self)
method = self.ConfigFile.GetParams('ScoringMethod');
confScorer = ConfidenceScorer(self, method);
if strcmp(method, 'TemperatureScaling')
isSet = self.ClipTable.Set == categorical({'Validate'});
confScorer = TrainConfidenceScorer(confScorer, self.ClipTable(isSet, :... |
ae914a92ad0c7e941f37141d613ba451514fe6e986fb593f77002ef2030e5cb8 | MATLAB | 509 | 14 | function result = objectEDT(constructor, varargin)
% Auto-delegate Java object method calls to Event Dispatch Thread (EDT).
% Copyright 2010 Levente Hunyadi
error(nargchk(1, 256, nargin));
validateattributes(constructor, {'char'}, {'nonempty','row'});
v = sscanf(version, '%u.%u'); % major and minor version ... |
f4fad6262cbdc488864278bfa5c8d0262a2b8f9e1b35aa7b477523650527de82 | MATLAB | 509 | 23 | function [lp_log_x, dlp_log_x, d2lp_log_x] = inverseGammaPrior(log_x, a, b)
% x = exp(log_x) is an inverse Gamma
%
lp_log_x = zeros(size(log_x));
log_x = log_x(:);
invx = DMC.utils.boundedExp(-log_x);
a = a(:);
b = b(:);
lp_log_x(:) = a .* log(b) - gammaln(a) + (-a-1).*log_x - b.*invx + log_x;
if(nargout > 1)
... |
b25549d7bf715710dd8c9d77ec72a1e2ba9f422f888c4921b1a43a9d92832c7f | MATLAB | 510 | 18 | function G = rgb2gray1(X,datatype)
% function G = rgb2gray1(X) Convert RGB-like real data to gray-like output.
if size(X,3)==1; G=X; return, end
if nargin<2, datatype = 'double'; end
[M,N,three] = size(X);
X = reshape(X,[M*N,three]);
% Calculate transformation matrix
T = inv([1.0 0.956 0.621; 1.0 -0.272 -0.6... |
5c24843b69c51735aefa87c2a7aa835addd8d8b7a6413141261efb12924a5001 | MATLAB | 511 | 15 | % PURPOSE: subroutine for pop_continuousartdet.m
%
% Author: Javier Lopez-Calderon
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2011
function [WinRej chanrej] = movesegments(WinRej, chanrej, winoffsetsam, pnts)
fprintf('\nWARNING: Marked segments will be displaced in %g samples.\n\n', w... |
f678526c82c0a7b09875bd325643697d22a93bbda5d5e5792a3f29c7e59b44b6 | MATLAB | 511 | 14 | function [ um,vm ] = resizeFlow( um,vm,new_size )
%RESIZEFLOW Summary of this function goes here
% Detailed explanation goes here
% resize flow
scaling = single([new_size(1)/size(um,1),new_size(2)/size(um,2)]);
a = linspace(1,size(um,2),new_size(2));
b = linspace(1,size(um,1),new_size(1));
[xi,yi]... |
031c1e9c2f6be52bf8d4bf7349572276e3458484edd48b6daf44efb81d90f907 | MATLAB | 513 | 27 | % Get data from a figure
function t = getDataFromFigure(fn,name1,name2)
fig = openfig(fn);
axObjs = fig.Children;
dataObjs = axObjs.Children;
x = dataObjs(3).XData;
y = dataObjs(3).YData;
% This is the age data from the previous experiment
[tmp1,tmp2] = xlsread('subjectdata_previous.xlsx');
t = table;
t.age = x'; %... |
35f90974cd9f85e4ec2abb5130f9500dee058f13db83ff1d137154f53d7badaf | MATLAB | 513 | 13 | function [pgon, line] = slice_obj(model, object, planeP, planeV, roundPrec)
arguments
model (1,1) Model
object (1,:) char
planeP (1, 3) % Point in plane, if given scalar it is auto-broadcasted to vector
planeV (1, 3) = [0, 0, 1] % Vector perpendicular to plane
roundPrec (1, 1) = 3;
end
% Ca... |
4c5368af38fad8e4bda51bb27a94729cc6e90b94ff9f2f6a02436faa55702321 | MATLAB | 513 | 26 | function L = laplacian(A)
% NLAPLACIAN Compute the normalized Laplacian matrix for a graph.
%
% L = nlaplacian(A) computes the weighted normalized Laplacian matrix for a
% symmetric adjacency matrix A.
%
% If A has unit weights, then the Laplacian is unweighted.
%
%
% David Gleich
% October 29th, 2005
%
%
% Histor... |
d8433bb88c5b345078b88d73075ccdad67b5f7cea0d67dcb690576a3472f9231 | MATLAB | 514 | 14 | function [region_order] = ROI_name_consistency(corr_atanh)
%ROI_NAME_CONSISTENCY Get the roi names after checking they are consistent
% across tastes
% row and column order the same
assert(all(cellfun(@(x) isequal(x.Properties.RowNames,...
x.Properties.VariableNames'), corr_atanh)));
% compare across tastants to b... |
3c34f25cfee397f30c10e74689ca25eac8e4a0594950b3d16d4d564817f20b6d | MATLAB | 516 | 22 | % gets the number of hyperparams for the horseshoe prior
function [dim_H] = getDimH(R, prior_setup)
dim_H = R + 2;
D = numel(prior_setup.T) + 1; % order
for ss = 1:D
if(ss == 1)
prior_setup_ss = prior_setup.V;
else %T{ss-1}
prior_setup_ss = prior_setup.T(ss-1);
end
if(prior_setup_ss.o... |
4c419fb2c43b509ef3b22da694a3c1dfc2a07cf46a526c6649e427568c7ae549 | MATLAB | 516 | 22 | function subpath = getSubpath(loc,subj,niipath)
% structpath = getPath2Structurals(loc [,subj] [,niipath])
%
% ** NEEDS IMPROVEMENT AND ERROR HANDLING
%
% Daniel.Stolzberg@gmail.com 2016
narginchk(1,3);
assert(ischar(loc));
loc = upper(loc);
if nargin < 3, niipath = fullfile(pwd,'NII'); end
if nargin < 2 || isempty... |
7bb3728328ffe54876d52eff5d0bad620b3d4e5fd3ebcb15d8c2ee3dd79b8d74 | MATLAB | 516 | 20 | function SyncAnnotationCategories(self)
folders = GetValidSubFolders(fullfile(self.ProjectPath, 'annotations'));
behaviors = {};
for i = 1:size(folders,1)
currVideo = folders.name{i};
currAnnot = Annotation(self, currVideo);
currBehaviors = currAnnot.GetBehaviors();
behaviors = [behaviors; currBehavi... |
dd006789ebaf91b706564a979fce6605a1719232d84ed29e4cb82c4e0e34162d | MATLAB | 517 | 13 | function [paths] = get_paths()
%GET_PATHS Summary of this function goes here
% Detailed explanation goes here
paths.main_dir = '/Users/karimia/code/Brain_Network/';
paths.main_code_dir = '/Users/karimia/code/Brain_Network/matlab';
paths.figs = fullfile(paths.main_code_dir, 'figs');
paths.data_versioned = fullfile(pat... |
16aae50f8356dc9417d487a204112142167420b64b82ea33a88c3c7b89182158 | MATLAB | 518 | 21 | function shiftdriftcorrect(dirname, x, y)
% SHIFTDRIFTCORRECT - manually move the drift correct results
%
% SHIFTDRIFTCORRECT(DIRNAME, Xshift, Yshift)
%
% Perform a manual shift of the drift correct results for a
% two-photon directory.
% Example:
%
% SHIFTDRIFTCORRECT('e:\myexper\mydir-001',0,0)
%
% ma... |
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