sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
18308d9d705f86fe25fab0c9b3a76ba3612dd6b5ddf40cf3d74085470881c77d | MATLAB | 2,283 | 80 | function [] = transformQuiver2(imgPair)
%% Figure out axis convention
% x = [10:10:50];
% y = [10:10:30];
% [x,y] = meshgrid(x,y);
% figure;
% quiver(x,y,2*ones(size(x)),ones(size(x)),0)
% set(gca,'YDir','reverse');
%% real stuff
%decimate transform field
spacing = 20;
mytform = imgPair.moving.F(256:512, 256:512,:);... |
aca321172651ba5fd130a2a45d25de234796e92703d30a4cbaa24e6b7772aa94 | MATLAB | 2,283 | 68 | function [dat] = read_brainstorm_data(filename, hdr, begsample, endsample, chanindx)
% READ_BRAINSTORM_DATA reads .EEG files that have been generated by
% the Nihon Kohden system. The function constitutes a wrapper around
% BrainStorm3 functionalities
%
% Use as
% [dat] = read_brainstorm_data(filename, hdr, begsampl... |
50a5b82603890e6d01c432f673522830ca742279439a704f9123b9fe2c6cabf8 | MATLAB | 2,284 | 76 | function [model, loglikHist] = gaussMissingFitEm(data, varargin)
% Find MLE of MVN when X has missing values, using EM algorithm
% data is an n*d design matrix with NaN values
% See emAlgo() for EM related optional args
%PMTKauthor Cody Severinski
%PMTKmodified Kevin Murphy
% This file is from pmtk3.googlecode.com
%... |
62573033ec65cb90b98e0096934c9be18590be29cbe833ed2c1bd05894955ea4 | MATLAB | 2,284 | 71 | function trl = compoundTriggerTrialFun(cfg)
%Defines a trial x from the prestim value (trigger - some specified value)
%to the start of the subsequent trial plus some poststim value (trigger x+1
%+ poststim value)
% Supports compound epoching of task related data. See epochingHelper.m for
% additional information on us... |
984e14b9b6ead06fc226aa569ca0def549bbcc811548d6646da95f5134712319 | MATLAB | 2,284 | 66 | function h_loadRefScoringData3(handles)
global jbm;
global h_img3;
%+/- color code
LOST = [1 0.5 0.5];%red
GAINED = [0.5 1 0.5];%green
TRANSIENT = [1 1 0.5];%yellow
PRESENT = [0.5 0.5 1];% blue
[fname, pname] = uigetfile();
if fname~=0
fullFileName = [pname fname];
load(fullFileName,'-mat');
... |
3e2cb156ee7839ed9665b832a01e69393adb7ae0672b3eeb32918dfa538bdf42 | MATLAB | 2,285 | 50 | %% Extract files locally using partial file name
addpath 'C:\Code\wjn_toolbox';
% Define directory that will contain all the AvgR_Fz files
% lh_AvgR_Fz_maps = 'D:\ECoG_Atlas\MRI\flipped_seeds\functional_maps\flipped_seeds_maps\left_hem_niis';
master_folder = 'C:\Users\ICN_guest\Charité - Universitätsmedizin Berlin\In... |
642058b3a16cfb9d4787b9cdcc0aba31fe2331667992ad3889e2d58bea1d5b1f | MATLAB | 2,285 | 70 | function [codename, pg, datestr] = pmlCodeRefs(codeIndFile)
% Return a list of all of the code files referenced in PML
% along with the (hard cover) pages on which they are first referenced.
%
%% Input
% codeIndFile - path to the code.ind file generated by the
% latex "makeindex code" command.
% (default = 'C:\kmurphy... |
cc413215778daf3534a95f17f5084019c9072a58600d8147650b99bc13fc7fbc | MATLAB | 2,285 | 47 | for k = 1:length(X)
clf;
x = X(k);
% Display NIFTI slice
I = round(-x/d1d2d3(1) + N1N2N3(1)/2); % minus here!
S = squeeze(VT1(I, :, :)); % choose the X cross-section
S = S(end:-1:1, :);
image([-DimensionY/2 +DimensionY/2], [-DimensionZ/2 +DimensionZ/2], S, 'CDataMapping', 'scaled... |
64a644a0e67ba3d29ba2f07ac5a4d777786926817b674d97bc53c341c55e5dfd | MATLAB | 2,286 | 74 |
function out=batch_folders(folders, option)
rexposure_exception=[]; %if you have four tracks but they are not rexposures, make this not empty...
rexposure=[]; %if not empty, assumes that there is rexposure to track
%order of running batch analysis
%EXTRACT_SPIKES_MARTA or EXTRACT_SPIKES_MARGOT
%EXTRACT_VIDEO
%PRE
%... |
f54475fc4bb3ca7224ca59eff783faa7fb98125d56f503aec5d3f62007f8cac8 | MATLAB | 2,286 | 49 | function MultiInput1 = Import_CSV_File(filename, dataLines)
%IMPORTFILE Import data from a text file
% MULTIINPUT1 = IMPORTFILE(FILENAME) reads data from text file FILENAME
% for the default selection. Returns the data as a table.
%
% MULTIINPUT1 = IMPORTFILE(FILE, DATALINES) reads data for the
% specified r... |
419df4a4d7ca30187c7f69e807461551f01559f6a47e6e15e675be411374b570 | MATLAB | 2,287 | 76 | function m = mkImMasks(opts)
%
%-----------------------------------------
% m = mkImMasks(opts)
%
% generates a family of window functions
% for use with metamer analysis and synthesis
% model (see metamerAnalysis.m and metamerSynthesis.m)
%
% opts: parameter vector (see initParams.m)
%
% m: structure containing windo... |
bfa3afb0126e04eb45f1a0fbffbe5d5ea915ea9078738ef7f76186cf17f89d0b | MATLAB | 2,287 | 58 | function M = specialeuclideanfactory(n, k)
% Returns a manifold structure to optimize over the special Euclidean group
%
% function M = specialeuclideanfactory(n)
% function M = specialeuclideanfactory(n, k)
%
% The special Euclidean group (the manifold of rigid transformations):
% This is a product manifold of... |
080a0481e8e484c85294613802d079cbb51157f1fdc8d624b75ce00c89b1ca8b | MATLAB | 2,288 | 92 | function [hEllipse,X,Y] = ellipsedraw(a,b,x0,y0,phi,lineStyle,varargin)
%ELLIPSEDRAW can draw an arbitrary ellipse with given parameters.
% The properties of that ellipse plot can be customized
% by setting the ellipse handle.
%
% hEllipse = ellipsedraw(a,b,x0,y0,phi,lineStyle)
%
% Input parameters:
% ... |
3331a1c72f07ebcfe863466f44d18f71760690c8f95b28d5c724f76bc3d153fb | MATLAB | 2,288 | 44 | %% shuffleSpikesInsideRange
% Performs N_DRAWS double-random shuffling of interspike intervals of
% provided spikes between range given by T_START and T_STOP.
% Spike time, start time, and end time should be in the same units.
% Copyright (C) 2023 Trevor S. Smith
% Drexel University College of Medicine
%
% This pro... |
0d3c7a5f09c0b8e6c3292b200b41181e73d87e460340107b7a49e1132848a08c | MATLAB | 2,289 | 72 | function err_list = spm_exec_mult_jobs(job_list)
% _
% Execute Multiple Jobs using SPM
% FORMAT err_list = spm_exec_mult_jobs(job_list)
%
% job_list - cell array of batch editor job filenames
% err_list - cell array of jobs that didn't work out
%
% FORMAT spm_exec_mult_jobs(job_list) loads the batch editor jo... |
16a2474d5a04ac12fc0450f3926da7229da504ff0ba31e27a36a01608beceffd | MATLAB | 2,289 | 92 | function main()
standardize = false; %true;
[xtrain, ytrain] = polyDataMake('sampling','thibaux');
if standardize
[xtrain] = standardizeCols(xtrain);
end
N = length(xtrain);
wBatch = [ones(N,1) xtrain] \ ytrain;
ss = [];
for i=1:N
[w(:,i),ss] = linregUpdateSS(ss, xtrain(i), ytrain(i), xtrain, ytrain);
end
figure... |
8433e5066b35d74733c30aef8c83a491f17b4ba15e875e3a6d415dafc9ebb128 | MATLAB | 2,289 | 85 |
set1 = load(data_set1); % part1\Calib_Results;
set2 = load(data_set2); % part2\Calib_Results;
shift = set1.n_ima;
for kk = 1:set1.n_ima
eval(['X_' num2str(kk) ' = set1.X_' num2str(kk) ';']);
eval(['dX_' num2str(kk) ' = set1.dX_' num2str(kk) ';']);
eval(['dY_' num2str(kk) ' = set1.dY_' num2str(kk) ';']);
eval(['wi... |
c6e70fc326b4ae8e8b43c33de4b79a57f7ef792600ecce61c7962cc6e7073a06 | MATLAB | 2,289 | 72 | function [EEG, new_events_lat] = ch_insert_events (EEG, cfg )
%% About function/script
% Name: ch_insert_events
% Version: 1.01
% Christoffer Hatlestad-Hall
% Date created: 19 Jan 2020
% Date last modified: 29 Jan 2020
% -------------------------------------------------------------------------------------------... |
cf58509c3a09e6aa8c771928f95c875f5e5b6c990fb16885d76e903bfdc4b68c | MATLAB | 2,289 | 60 | function exportToGoogleCode(package, username, passwd, summary, exclusions, createEmpty)
% Export package from svn, uploading the zip to the google code repository
%
% PACKAGE - name of svn directory
% USERNAME - your google code username, e.g. mattbdunham
% PASSWD - your autogenerated google code pas... |
ef6307bdec3d37cc83a110474f744b43bb79f46e29941262282efde12d32f8cc | MATLAB | 2,289 | 76 | function [xgp,wt] = generalized_phase( x, Fs, lp )
% *SPONTANEOUS WAVE DEMO*
%
% GENERALIZED PHASE calculate the generalized phase representation for
% each channel in a datacube
%
% INPUT:
% x - datacube (rows, cols, timepts)
% Fs - sampling rate [Hz]
% lp - low-frequency data cutoff [Hz]
%
%... |
a02f5af5df29080e31a7272f07d22665a4eeb8576c7d125089498437f04bbd7a | MATLAB | 2,290 | 71 | function [headmodel] = ft_read_vol(filename, varargin)
% FT_READ_VOL reads a volume conduction model from various manufacturer
% specific files. Currently supported are ASA, CTF, Neuromag, MBFYS
% and Matlab.
%
% Use as
% headmodel = ft_read_vol(filename, ...)
%
% Additional options should be specified in key-value ... |
263e6eb04f7254f76f0c30bba56fc55ff14662f0bad19337a3a2c0e4409ff842 | MATLAB | 2,291 | 51 | %Step 3 of CBIG Kong2019 Brain Parc Pipeline
%
%To run: 1. Open Matlab using salloc (ex: `salloc --mem-per-cpu 6G --time 2:00:00 --x11`)
% 2. source your config file containing the $CBIG_CODE_DIR variable
% 3. `cd` to the $CBIG_CODE_DIR/stable_projects/brain_parcellation/Kong2019_MSHBM/step3... folder
% 4. `cp` thi... |
c600987216246218c16379d146675d2560ad1245f88d39d28fe34a3e51d4e98d | MATLAB | 2,292 | 42 | function exp_log_likelihood = CBIG_AuthorTopicEM_ExpLogLikelihood(w, paradigm, params, q)
% exp_log_likelihood = CBIG_AuthorTopicEM_ExpLogLikelihood(w, paradigm, params, q)
%
% Compute log likelihood of a given experiment given the auxiliary parameter of the EM algorithm
% and current model's parameters.
%
% Input:
%... |
8bc53b42102b98b0072223b37aa0e8593918708d4f2e00beb4d065087e4b2766 | MATLAB | 2,294 | 87 | function [x,gpd,nu]=gdpower(N,k,c)
%GDPOWER Signal with power-law group delay.
% [X,GPD,F]=GDPOWER(N,K,C) generates a signal with a
% power-law group delay of the form tx(f) = T0 + C*f^(K-1).
% The output signal is of unit energy.
%
% N : number of points in time (must be even)
% K : degree of the power-law (defa... |
a5b9110baefc6e32e0287495fc3d897c286d5644150f6367e62b99c84991c5c6 | MATLAB | 2,294 | 65 | function outputImage = interpolateVolumeCUDA(inputImage,data_channel)
%Assumes that there are 0s in the input image where the original image was
%not able to warp into. To ensure this, a nominal f
%Add a nominal amount to the tileM for the interpolation step at the end of
%this function
%It is rounded back to integer... |
1007f35d574d6e4d658e25faea053cc890cfb61078c40c7bd14e058645a1fd1d | MATLAB | 2,295 | 91 |
fnames = {'test_minentest' 'test_minentest2' 'test_minentest3'};
temp_pm0 = [];
temp_pm1 = [];
temp_pk0 = [];
temp_pk1 = [];
temp_reps = 0;
for i = 1:length(fnames)
load(fnames{i});
temp_pm0 = cat(3,temp_pm0,pm0);
temp_pm1 = cat(3,temp_pm1,pm1);
temp_pk0 = cat(3,temp_pk0,pk0);
temp_pk1 = cat(3,temp... |
42c1dca4777bae957217f753aa5ad405fc4da0c059d7b28f0854d3edb4fc33bc | MATLAB | 2,296 | 53 | function [ feedback, point ] = utils_ApplyModel( model, classVar, slice )
% (c) Coraline Rinn Iordan 10/2017, 04/2018, 06/2018
%
% slice : numVoxels x 1
% KLE = LLR: log-likelihood ratio between classes
positiveThreshold = 70;
negativeThreshold = 1;
point.valFull = slice' / model.PCA.coeff'; % 1 x numComponents
point... |
4f971797e2c49772f03d7d944ce6593b675c803740ee72b01414efc897f2d338 | MATLAB | 2,296 | 67 | function [trl, event] = ft_trialfun_trial(cfg)
% FT_TRIALFUN_TRIAL creates a trial definition that corresponds to the
% events that are returned by FT_READ_EVENT with type='trial'
%
% You can use this function as follows
% cfg = [];
% cfg.dataset = string, containing filename or directory
% cfg.tr... |
26c97275c4f0ee6aca2fd334123f67c3cedf4854d6f467e826bd5414e865c0e4 | MATLAB | 2,298 | 99 | function wlPlot_plotMultipleExtracted(cfg, ...
wavelist, freqlist, phaselist, ...
figtitle, filelabel);
% function wlPlot_plotMultipleExtracted(cfg, ...
% wavelist, freqlist, phaselist, ...
% figtitle, filelabel);
%
% This function plots multiple time-series waveforms, multiple instantaneous
% frequency series... |
bef72ab25b13bae471b6b6598f897c8ddf7a85e32aef82b7cbf40bd30c78e280 | MATLAB | 2,298 | 75 | datRoot = '/Volumes/LaCie/Farries recordings/';
rat = 'IM1153';
%implantSide = 'L';
sesList = dir([datRoot rat '/201*']);
sesList = arrayfun(@(x) x.name, sesList, 'UniformOutput', false);
sorted = cellfun(@(s) ~isempty(dir([datRoot rat '/' s '/*sorted-raw'])), sesList);
sesList = sesList(sorted);
for i = 1:length(sesLi... |
edb440acdc1e7b5446fb220548ce190a7cdd9ffa1b6f7b1463b7ca3d7cdd2672 | MATLAB | 2,299 | 73 | function d = L2_distance(a, b)
% L2_DISTANCE - computes Euclidean distance matrix
%
% E = L2_distance(A,B)
%
% A - (DxM) matrix
% B - (DxN) matrix
%
% Returns:
% E - (MxN) Euclidean distances between vectors in A and B
%
%
% Description :
% This fully vectorized (VERY FAST!) m-file computes ... |
1bde4ccae495bff6ae072d523c5f88b706b8f2b93a79d821fbeb4b80460e3893 | MATLAB | 2,300 | 68 | classdef PulseTrainDetector < FeaturesDetector
properties
baseReporter
pulseFeatureType
maxIPI = 0.1
minPulses = 3
end
methods(Static)
function n = typeName()
n = 'Pulse Trains';
end
function ft = possib... |
bb5580f1d6247afd133c3a0db30bab17ab5fce450b4899732d6f278a1d00f8d8 | MATLAB | 2,300 | 81 | function [Image2,NbDots]=imextrac(Image,trace);
% imextrac(Image) extract and isolate dots in a binary image
%
% example:
% Image=[1 0 0 0 0 0 1 0 0 0 1 0 ;...
% 1 1 0 0 0 1 1 0 0 0 1 1 ;...
% 1 0 0 0 1 0 1 0 0 0 0 1 ;...
% 0 0 0 0 1 1 1 0 0 0 0 0 ;...
% 0 0 0 0 0 0 0 0 0 0 0 0 ];
% image2=i... |
947d5433db0bf1d2071d417d25bf99a6398f9680d7616a17b6933f3604086900 | MATLAB | 2,301 | 48 | function h_resetBLUEValues3(handles)
global h_img3
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
imageModeValue = get(handles.imageMode, 'value');
if isfield(currentStruct.internal, 'imageModeValue')
previousImgMode = currentStruct.internal.imageModeValue;
else... |
a4ea35958be75da613b5499ec21a95dd8c6b50aac62f0a9875483610bb5b39ad | MATLAB | 2,302 | 70 | datRoot = '/Volumes/LaCie/Farries recordings/';
rat = 'IM1130';
sesList = dir([datRoot rat '/201*']);
sesList = arrayfun(@(x) x.name, sesList, 'UniformOutput', false);
sorted = cellfun(@(s) ~isempty(dir([datRoot rat '/' s '/*sorted-raw'])), sesList);
sesList = sesList(sorted)
iSes = 1 % choose session
sesDir = [datRoo... |
e3799c8dc6a0b57baf3aa7bab61a72c9a29d2b612e1cd1ac4ab27cdb9807c0da | MATLAB | 2,302 | 68 | % manual_masking_loop.m
% Sarah West
% 8/23/21
% Modified from SCA_manual_masking.m, just the manual masking parts. Will
% also put in code from create_bloodvessel_masks_withbackgroundmasks.m .
% Let's you keep adding masks until you say you're done. You can return to
% it.
% Is run with RunAnalysis
function [parame... |
5ad2a78a74a1e37aaae71462382d725bd123d6b33354c084800d454c5d4966fe | MATLAB | 2,303 | 69 | function q = simpqual(p, t, type)
%SIMPQUAL Simplex quality.
% Q=SIMPQUAL(P,T,TYPE)
%
% TYPE can be
% 'Radius_Ratio' or 'Min_Sin_Dihedral'
% Copyright (C) 2004-2006 Per-Olof Persson. See COPYRIGHT.TXT for details.
%
%
% Modified by Hamid Ghadyani, 2012, Dartmouth College
% Add minimum sine of the dihedral ang... |
cd6f2913cc8bcb3f90e5ba5e9b876a078df76ffea0fab0d5bf159c004c97a121 | MATLAB | 2,303 | 50 | function PassiveNoise(MATPATH, FIGPATH, params)
%% Parameter setting
params.processFcn = @NoveltySU.preprocess.PassiveProcess_noise;
NoveltySU.utils.parseStruct(params);
temp = string(strsplit(MATPATH, "\"));
% dateStr = temp(end - 1);
protStr = temp(end - 2);
DATAPATH = MATPATH;
FIG... |
b4df776e72727ea8b831b17c89568aa9359276388c031a0f90f8d8ddeea271df | MATLAB | 2,304 | 91 | function z = le(x,y)
%LE Less than or equal for sptensors.
%
% See also SPTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
% Copyright (2015) Sandia Corporation. Under the term... |
8d3ed2ff7b72085251e61156945e4530e48dde68f16b513c1a28eb034581504f | MATLAB | 2,305 | 70 | %INSTRUCTION: use cell array for possible integer answers and for a range use a 1d array with
%the upper lower limits ex. [0:10] as one of the answers
%[Answer]=InputWithVerification('Is this the correct way to use this: ',{[],[1:10]},0)
function [Answer]=InputWithVerification(Question,PossibleAnswers,BeepOn)
warn... |
a88a29e9b6680d6738cb3c2d1751a0b12fd290cf48b1b56ae4ae9369347f1d73 | MATLAB | 2,305 | 62 | function [bValue,bAmplitude,bOsc] = HistogramGenerate(opt,PathwaySignalFirstOrder,GwaveFirstOrder,PathwaySignalHigherOrder,GwaveHigherOrder,TransFirstOrder,TransHigherOrder)
%
%Convert bLim to s/mm2
opt.bLim=opt.bLim*1000;
%Convert G to G/cm
opt.G=opt.G/10;
%%
%Initialise b array
bAmplitude=zeros([1,opt.bLim]);
%%
%Def... |
adcc735dddd46515edb7662141e3a2a68e367f29fb83427d0fdcf804d2b44413 | MATLAB | 2,305 | 45 | function [params, doc_log_likelihood, q] = CBIG_EM_doc_e_step_wc(w, paradigm, params)
% [params, doc_log_likelihood, q] = CBIG_EM_doc_e_step_wc(w, paradigm, params)
%
% Perform E-step of the Author-Topic model on each experiment (document). Note that
% compared to CBIG_EM_doc_e_step.m, this function takes in an argu... |
b8c28798ecf9887fdbb1303df85863e07213502a0f71c08edf9682585c7b6423 | MATLAB | 2,305 | 69 | % this code calculates the spearman rank correlation coefficient for the 3d glass and is window averaged.
dia=1.6;
path='D:/Rati/3d_glass/';
X=load(strcat(path,'STS_ASM385_70_2-12_6_T=0-24_PosX.dat'))/dia;
Y=load(strcat(path,'STS_ASM385_70_2-12_6_T=0-24_PosY.dat'))/dia;
Z=load(strcat(path,'STS_ASM385_70_2-12_6_T=0... |
d9d427ec4dccb5c4f5780a329e5e927630c2b1e957752eef595be0947871e00c | MATLAB | 2,305 | 45 | % The feature viewer visualizes features for the currently selected
% datapoints. It can also depict the local graph of the currently selected datapoint.
% which is helpful when exploring embeddings such as those generated by t-SNE or UMAP or other
% large scale visualizations.
%
% Below a... |
2fac249bce022ee479798f7a71c54142bc5787b02a5d8e5d4f2f60b4859e68fe | MATLAB | 2,308 | 85 | function disp(X,name)
%DISP Command window display of a sparse tensor.
%
% DISP(X) displays the tensor without printing its name.
%
% DISP(X,NAME) displays the tensor with the given name.
%
% See also SPTENSOR, SPTENSOR/DISPLAY.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB ... |
d59d1867ac1c0760fd8a0c4a4b2b19015d5b19c300fa9735591827cf3c689179 | MATLAB | 2,308 | 54 | subjlist=dir('*.COORD');
for i = 1:size(subjlist)
subj=subjlist(i).name;
fid = fopen(subj,'r');
fidw = fopen('coordinate.txt','w'); %´ò¿ªÐ½¨µÄ¿ÕÎı¾Îļþ£¬Ò²ÊǺóÐøдÈëÊý¾ÝµÄÎı¾Îļþ
filename_b=[subj '_background.txt']
fid_b = fopen(filename_b,'w'); %´ò¿ªÐ½¨µÄ¿ÕÎı¾Îļþ£¬Ð´Èë±³¾°Êý¾ÝµÄÎ... |
2eb453ad6c55bdb4ba6de72ca3ea766267b99797a6b26bae6b96d2827dd3504f | MATLAB | 2,309 | 103 | %% Gauss Imputation Demo
% PMTKneedsStatsToolbox regstats
%%
% This file is from pmtk3.googlecode.com
function gaussImputationDemo()
requireStatsToolbox
%% Make data
setSeed(1);
d = 20; n = 5; pcMissing = 0.5;
mu = randn(d,1); Sigma = randpd(d);
trueModel = struct('mu', mu, 'Sigma', Sigma);
Xfull = gaussSample(trueMo... |
358c0a91159b54d11c3599eab1465730053efa14975af30df8fc531338b9a67e | MATLAB | 2,309 | 71 | %% GENERATE CODE FOR VARIABLES
% This document demonstrates the usage of GENCODE, GENCODE_RVALUE and
% GENCODE_SUBSTRUCT to show and modify the contents of complicated MATLAB
% variables.
%%
%% A TEST VARIABLE
% The variable x is a struct with two fields: f1 and f2. f1 is a cell array
% of arbitrary items.
x.f1 ... |
be63ab29fa6d59f9b039187cd376d7159c12a391f72b82fbfcb2351732e3656f | MATLAB | 2,309 | 67 | function F = get_factorization(center,area,normals,qcorr,contrast,weight,opts)
%
% This subroutine constructs a recursive skeletonization with strong
% admissibility factorization for a laplace TE polarization problem
% the integral equation being solved is
% (1 + \kappa 2S')\sigma = f
% where \kappa is the const... |
cb5837c7dc12934e8e44f0f83ffcec0d877ac6c89f92a373774cd573b88f41b5 | MATLAB | 2,309 | 92 | function M = unwrapCell(C)
% Recursively remove superfluous cell nestings and eventually concatinate
% using cell2mat. This is an idempotent operation; calling it on a cell
% array that cannot be unwrapped any further returns the orginal cell
% array, unaltered. Full unwrapping, (using cell2mat concatination) only
%... |
65990bcdd8fa6592ba083d87644721d8aab942f9c398b62a71cbfa9d79831bf3 | MATLAB | 2,310 | 76 | function [posterior,out] = VBA_wrapup(posterior,options,dim,suffStat,u,y,it,fromPause)
% wraps up the VB inversion
% function [posterior,out] = VBA_wrapup(posterior,options,dim,suffStat,u,y,it)
% IN:
% - [VBA internal variables; see VBA_NLStateSpaceModel.m]
% OUT:
% - posterior: the final 'posterior' structure
% ... |
68b2e989b2f0aa5bd102d41a29ba1b2316403f4e360819f07b90882f99a79946 | MATLAB | 2,310 | 65 | % The Dataview (also called PropertyList) provides several slots that can hold the names
% of labels (of the datasource), graphs and the index of a currently selected
% data point. The dataview window shows the values of all slots. Right clicking
% on the blue text opens a context menu to change th... |
eda1e9166f864ddd2285a6554107980fe71493331a3b3bfb9eea84daadce49ab | MATLAB | 2,310 | 76 | function cost = plotprofile(problem, x, d, t)
% Plot the cost function along a geodesic or a retraction path.
%
% function plotprofile(problem)
% function plotprofile(problem, x)
% function plotprofile(problem, x, d)
% function plotprofile(problem, x, d, t)
% function plotprofile(problem, x, [], t)
% function p... |
ea065f0bd3992b298a900a09df5237ce58b6ea1436204dd4ebc7ddd484cc2a19 | MATLAB | 2,311 | 69 | function hfig = createSplashScreenFigure()
% Create the APT splash screen figure
%hparent = handles.figure;
hfig = nan;
splashimfilename = fullfile(APT.Root,'gfx','SplashScreen.png');
if ~exist(splashimfilename,'file'),
return
end
% oldunits = get(hparent,'Units');
% set(hparent,'Units','pixels');
% pos0 = get(hpar... |
9760e80e0c52bd7ac0cf8407ff9e314a33be9edcf85e729946d28e4c8d30b83b | MATLAB | 2,313 | 69 | function [F, J] = funfitDoGModel(params, xvals, xorder)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
gamma = params.outparams(1);
alpha = params.outparams(2);
%=================================================... |
99beabb1b04478e2bb0295eade2e037988542558508904d9bfb476d5c3a90a77 | MATLAB | 2,313 | 88 | %% Demonstrate the effect of changing the hyper-parameters for an MLP
% based on demprior from netlab, but without the GUI code
%%
% This file is from pmtk3.googlecode.com
setSeed(1);
if 0
% values from Bishop p260 - clearly not correct
aw1s = [1 1 1000 1000];
ab1s = [1 1 100 1000];
aw2s = [1 10 1 1];
ab2s = [1 1 1 1... |
7282eab5b71b94d558ea3c6ccd15143c0f8c3ae33c37d8639746fbd498c243cc | MATLAB | 2,314 | 84 | function meg_msFigs_ITPCbyITI_slopes_bar
% function meg_manuscriptFigs_ITPCbyITI_slopes_bar
% load groupITPC_ITI
% and run kt_ITPCbyITI for the model fits by jitter
load('figData/ITPC_byITI.mat')
%% Settings
plotSubjects = 1;
saveFigs = 1;
annotateStats = 1;
figFormat = 'svg';
% Figure directory
[figDir,dateSt... |
9767b7ac9c78c363b9a06fc9a617c8011026d0d794b1c6d0199957a4ea31cb0e | MATLAB | 2,314 | 71 | function HMM = fit_HMM(datadir, hmmdir, HMM_name, only_cov, only_1st, k)
% HMM = fit_HMM(datadir, hmmdir, HMM_name, only_cov, only_1st, k)
%
% fit a group-level HMM to the HCP resting state fMRI data.
% This uses a Gaussian observation model, either using the mean or pinning
% it to 0 (only_cov).
% Wrapper for hmmmar.
... |
ca8be8fb805d7aad8b53d8b3f3fa5850e1bfb0830a9e036c2a1018236565c9dc | MATLAB | 2,315 | 59 | Vapp(1:t_ar(1)) = V0; Vapp(t_ar(Nta-1)+1:t_ar(Nta)) = V0;
time_up = t_ar(2)-t_ar(1); slope_up = (V1-V0)/time_up; t_up = 1:time_up;
Vapp(t_ar(1)+1:t_ar(2)) = V0+t_up*slope_up;
time_down = t_ar(3)-t_ar(2); slope_down = (V0-V1)/time_down; t_down = 1:time_down;
Vapp(t_ar(2)+1:t_ar(3)) = V1+t_down*slope_down;
%%%%%%%%%%%%%%... |
094f33019af0975f1eb38be3de90cf5276a18ce2300f8b1398405ab647550612 | MATLAB | 2,316 | 126 | function [Irec] = rect(I,R,f,c,k,alpha,KK_new);
if nargin < 5,
k = [0;0;0;0;0];
if nargin < 4,
c = [0;0];
if nargin < 3,
f = [1;1];
if nargin < 2,
R = eye(3);
if nargin < 1,
error('ERROR: Need an image to rectify');
end;
e... |
0b04aa651129ee93993c02136fbbac06a9f2373ddd18b5755586fad37ef157b9 | MATLAB | 2,316 | 63 | function [posterior, out] = VBA_multisession_factor(posterior,out)
% [posterior, out] = VBA_multisession_factor(posterior,out)
% take a multisession model, extract within session parameters and
% trajectories (in posterior.perSession), and clean up the out structure
% by undoing the multisession wrapping performed by ... |
3f6495be083cef3849b2a1a33a0d452a604070420d6db6552d92c17f872a73ae | MATLAB | 2,317 | 62 | %% Example code for calculating z-scored log odds
% Please make sure to add example_code folder into the path or cd to the
% path
% First, we will create simulated place cells and simulated linear replay
% trajectories for two tracks
number_of_place_cells = 50;
no_of_events = 100;
[place_fields,t,replay_time,replay_sp... |
44eedbced8af47e498de33e1fe65fc3ab68e49a51000f3a1e843f45a514c30ae | MATLAB | 2,317 | 64 | function M = softMin( D, sigma )
% Calculates the softMin of a vector.
%
% Let D be a vector. Then the softMin of D is defined as:
% s = exp(-D/sigma^2) / sum( exp(-D/sigma^2) )
% The softMin is a way of taking a dissimilarity (distance) vector D and
% converting it to a similarity vector s, such that sum(s)==1. If ... |
7d9fc1b5bd40a5f3c5b277e41dffeb258be6ce5d9ac4a0a82b676f3ecdd32c52 | MATLAB | 2,317 | 87 | %% tsdata_to_autocov_debias (EXPERIMENTAL)
%
% Calculate sample autocovariance sequence from time series data with debias
%
% <matlab:open('tsdata_to_autocov_debias.m') code>
%
%% Syntax
%
% G = tsdata_to_autocov_debias(X,q)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
... |
508d7131863aafcf8b21462c5aa69a9cbed86c77d442efecdc9bda94a964fd2d | MATLAB | 2,318 | 38 | function stimulusMatrix = utils_GenerateShape( nShapes, shapeInit, manipulateDim, shapeNum, warp, sizeShape, background, Lmin )
% (c) Coraline Rinn Iordan 06/2018
% nShapes: number of shapes to generate on continuum ; should be odd number!
% shapeInit: baseline shape parameters
% manipulateDim: whic... |
92d163e3d9621a2487aa1452b3f54f8e5e1c8d73f032a7375d50d077cfb84849 | MATLAB | 2,318 | 61 | function J = convMax( I, r, nomex )
% Extremely fast 2D image convolution with a max filter.
%
% For each location computes J(y,x) = max(max(I(y-r:y+r,x-r:x+r))). The
% filtering is constant time per-window, independent of r. First, the
% filtering is separable, which brings the complexity down to O(r) per
% window fro... |
d88a10e540c908562ec2fa3a57b60a799f9b1f1ea42eb10cec61a7297c47725c | MATLAB | 2,318 | 38 | function stimulusMatrix = utils_GenerateShape( nShapes, shapeInit, manipulateDim, shapeNum, warp, sizeShape, background, Lmin )
% (c) Coraline Rinn Iordan 10/2017
% nShapes: number of shapes to generate on continuum ; should be odd number!
% shapeInit: baseline shape parameters
% manipulateDim: whic... |
f4066715246b3243896569d74f0732b677f35077600db02eb9889b14bf10a366 | MATLAB | 2,318 | 64 | % TSRMFIELD Removes all instances of a field from the specified level
% Takes two arguments, a string which is the name of the field to remove.
% Will traverse entire Experiment and remove all instances. Useful for
% removing statistics which are no longer necessary.
function TSrmfieldRev(Level,field)
if eva... |
0d7457c894e599d15e4760b48ebebe4045f0ad9e6e01596fb8abf2955d5771b3 | MATLAB | 2,319 | 68 | function [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace);
% [tfr2,OrderedSurfaces]=tfrsurf(tfr,threshold,keep,trace);
% extract from a time-frequency representation the biggest energy dots
% TFR : time-frequency representation.
% THRESHOLD : the energy threshold, in %
% KEEP : ... |
94a3231d71a2fb018b01a80edd3667b80a0646796d35e96a733d4a6663a31956 | MATLAB | 2,319 | 72 | function boxplotScatter(data, Title, yaxe, withlines, sumstats)
% this is a function to plot a box and a scatter plot of the data
% data is a table with labels corresponding to the categories
% title is the title of the plot
% yaxe is the yaxis label
% withlines is boolean to indicate if to plot with connecting lin... |
9635a7b39f5901382f1cd0dcce393b6e1f686cce2852b8c081e4dcf27a8cb11d | MATLAB | 2,319 | 59 | function [qidx, q, d] = quantizPMTK (x, table, codes)
% [qidx, q] = quantiz(x, tables, codevalues)
% Quantize a 1d signal
% table is a vector of K-1 thresholds
% codes is a vector of K valeus (default 1:K)
% See here for more info:
% http://www.mathworks.com/help/toolbox/comm/ug/fp6386.html
% Source:
% http://lasp.col... |
8d0b3d614d77d0cd5a9d8f931180f1e0a0e4a6744bc753ad4a99c23767b3e4db | MATLAB | 2,320 | 81 | function foci=AdjustFoci(foci,meshL,meshR,side,ctx)
%
% This function adjusts Foci locations to match the surface of the mesh
% in case it is inflated or rotated or otherwise adjusted.
%
% New algorithm 8/16/17, to be fixed....
% 1. deal with std vs inf or vinf first
% 2. determine home hemisphere for ROIs
% 3. keep tr... |
4e4364c22bd50be488453d7cdce31e2117c969a0fcb78ed08bd410635a74b6cc | MATLAB | 2,321 | 94 | function newevmatrix = wlFT_pruneEventsByTime(oldevmatrix, ...
padbegin, padend)
% function newevmatrix = wlFT_pruneEventsByTime(oldevmatrix, ...
% padbegin, padend)
%
% This function processes an event matrix structure and removes events with
% nominal starting or stopping times that are too close to the ends of ... |
27eede5912085194516ad09bd3f9052a791f8457cca90290595386fefc0ebb8b | MATLAB | 2,322 | 84 | function [mag vect precomp_grads yy ix] = GetGradOri_vector(pix,r,c,s, fv, sift_params, precomp_grads)
rows = sift_params.pix_size(1);
cols = sift_params.pix_size(2);
slices = sift_params.pix_size(3);
% clamp r,c,s to the bounds of the img (pix)
if r < 1
r = 1;
end
if c < 1
c = 1;
end
if s < 1
... |
362b782bf87b0c892d7b94cdf6a5b93ff2d50c454e829c1c2188589cc7473b8b | MATLAB | 2,322 | 77 | function [goodChannelList,badChannelList] = inputBADchannels(rawdata,subj_location, subj_match)
% goodChannelList contain all MEG and reference channels except the MEG channels present in badChannelList
hdr=ft_read_header(rawdata(subj_location));
sel=false(size(hdr.label));
labels = hdr.label(cell2mat(cellfun(@(x) con... |
e5fe85343ebea546f207849edda182fb982fd1cf21b69ed45c3a9ac3f689801e | MATLAB | 2,322 | 54 | %boney_eval_printCrossCorrelation
%% create figure 12
% new measures sorted by correlations
fg=12; fgh = figure(fg); clf(fg); fgh.Position(3:4) = [800 350] + [15 5] * max(0,numel(measure)-10); fgh.Color = [1 1 1];
for mi = 1:numel(measure)
for mj = 1:numel(measure)
msk = ~isnan(out.(measure{mi}){1}) ... |
0b36114a85dfe1aa61d2d788f2b54b538727e9fc1d8c4af63e7982c741e944de | MATLAB | 2,323 | 82 | function CBIG_RL2017_Figure4_toy_ex_HMM
% CBIG_RL2017_Figure4_toy_ex_HMM
% This code generates a 2-state HMM model and the corresponding autoregressive (AR) and phase
% randomized (PR) surrogates. It was used to generate Figure 4 in Liegeois et al. (NeuroImage 2017).
%
%
% Written by Raphael Liegeois and CBIG under M... |
18411180376bf761caa11e0a8c62b62447f276da186d11259f47bfe537b7a0bf | MATLAB | 2,323 | 81 | %% Lung cancer network Example
% Make DAG
% S
% / \
% v v
% CB LC
% \/ \
% v v
% SOB X
%%
%
%
%
%
% This file is from pmtk3.googlecode.com
nvars = 5;
toporder = false;
[dgm] = mkLungCancerDgm(toporder);
S = dgm.nodeNum.S; CB = dgm.nodeNum.CB; LC = dgm.nodeNum.LC;
SOB = dgm.nodeNum... |
cfb68d5529f381b4083942bd2360a42cf4123c4d90c8fa5266c67dcf98a41b5f | MATLAB | 2,323 | 72 | % AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
%
function [jd, ... |
3572313e591ffe6220d68e1e7e70e0ce3e93b4598b88082dc579c3886305e026 | MATLAB | 2,324 | 60 | function B = imResample( A, scale, method, norm )
% Fast bilinear image downsampling/upsampling.
%
% Gives similar results to imresize with the bilinear option and
% antialiasing turned off if scale is near 1, except sometimes the final
% dims are off by 1 pixel. For very small values of the scale imresize is
% faster ... |
7678200fee2ead94d24670d0883340feb92fbaf72ad10f8d54eb0f8bcc06740a | MATLAB | 2,324 | 83 | function h_searchAndAddToGroup3(handles)
global h_img3;
UData = get(handles.h_searchForGroupGUI3, 'UserData');
structName = ['I', num2str(UData.instanceInd)];
pathname = get(handles.pathName,'String');
basename = get(handles.fileBasename,'String');
fileExtension = get(handles.fileExtensionOpt,'String');
if... |
fd228306126e9f7542bff3971c52e10177b702db008a947cf31f08631d61ab10 | MATLAB | 2,324 | 72 | function [gd,fnorm]=sgrpdlay(x,fnorm);
%SGRPDLAY Group delay estimation of a signal.
% [GD,FNORM]=SGRPDLAY(X,FNORM) estimates the group delay of
% signal X at the normalized frequency(ies) FNORM.
%
% X : signal in the time-domain.
% FNORM : normalized frequency. By default, FNORM is a
% linearly spac... |
a711346bb39528aa96decccf0bd80e1b044e2a42ecc527d4fbbb41665b3e5085 | MATLAB | 2,325 | 60 | function [FRorig, FR] = getDataForDPCAAction(AllTrialData,timeWindow,Phase,varargin)
[varargin,SmoothingKernel]=Utilities.ProcVarargin(varargin,'SmoothingKernel',.55);
[varargin,meanThresh]=Utilities.ProcVarargin(varargin,'meanThresh',1.5);
[varargin,TaskLabel]=Utilities.ProcVarargin(varargin,'TaskLabel','XActionT... |
d00f2a5d54c208f83f744331ca2bc5a5039ade76e0e4bc692809b7bd1f9b5503 | MATLAB | 2,325 | 46 | function Obj=SOFAconvertARI2SOFA(hM,meta,stimPar)
% OBJ=SOFAconvertARI2SOFA(hM,meta,stimPar) converts the HRTFs described in hM, meta, and
% stimPar (see ARI HRTF format) to a SOFA object.
%
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences;
% Licensed under the EUPL, Version 1.1 or... |
e57fe810ad6f8bcf2975994125845c39a26c2be69d2a3bdc495c43a2b87f0563 | MATLAB | 2,325 | 80 | %% Get an interplated stack form an oriented membrane (Modified version for caulobacter)
%% It take sample at booth sides and keep the side with greater total density
% Author: Antonio Martinez-Sanchez
% I: original intput tomogram
% M: input binary tormogram with membranes segmented
% Ni: input oriented normals coordi... |
3e979bfed9b0c128aee79b67b426abe1bdc2099aa16059cf1dc84dbaf6069040 | MATLAB | 2,326 | 57 | function [corr, avgCorr] = CBIG_ASDf_corrTwoRuns(inputDir_best, inputDir, K, r_best, r)
% [corr, avgCorr] = CBIG_ASDf_corrTwoRuns(inputDir_best, inputDir, K, r_best, r)
%
% This function uses Hungarian matching algorithm to match factors between
% two runs (random initializations), and computes the pairwise correlation... |
460edb8e5f4bed6b1d2a170af601fbf0cd9d35b677d4d4f158ae8838e20f2dd2 | MATLAB | 2,326 | 96 |
% this function parses metadata and returns a structure
% metadata is assumed to be in this format:
%
% 1234 32 % interpeted as temperature for this file
% 1234 proctolin 1e-3 % interpreted as this conc of proctolin for all subsequent files
% 1234 decentralized % interpreted as decentralized for all subsequent files... |
7ef4bf1f0932b4695d875d439d33dc9b88a7c7d62e2c4b0dd51fec44c27a5137 | MATLAB | 2,326 | 75 | function Iout=affine_transform_2d_double(Iin,M,mode,ImageSize)
% Affine transformation function (Rotation, Translation, Resize)
% This function transforms a volume with a 3x3 transformation matrix
%
% Iout=affine_transform_2d_double(Iin,Minv,mode,ImagSize)
%
% inputs,
% Iin: The input image
% Minv: The (in... |
3fa35a598923126349b5bdb24f4ec5b6f895af543e58536aab3b8b0934e99e92 | MATLAB | 2,327 | 101 | function [hf] = displaySimulations(y,x,eta,e)
% plots simulated time series (including state-space SVD projections)
if VBA_isWeird ({y, x, eta, e})
hf = [];
return
end
dTime = [1:size(x,2)];
hf = figure;
pos = get(hf,'position');
set(hf,...
'name','Simulated time series',...
'position',[pos(1),pos(2)... |
dcf64e9c3f56871d6dfce8b89c2c6eb0fb966ddc0e6118e8047246eee265fb0e | MATLAB | 2,327 | 86 | function test_ShellToken()
% Test ShellLiteral constructor and basic functionality
lit1 = apt.ShellLiteral('hello');
if ~strcmp(lit1.char(), 'hello')
error('ShellLiteral toString failed');
end
lit2 = apt.ShellLiteral("world"); % Test string input
if ~strcmp(lit2.char(), 'world')
error('ShellLiteral string input ... |
f522581dab9e887ed1b97161113e8839c2cef0bd0fc2d5e8c09cfc24b56bc6af | MATLAB | 2,327 | 112 | function [clindx,nvox] = iimg_cluster_index(dat,xyz,k)
% Get voxel cluster indices and sizes
% :Usage:
% ::
%
% [clindx,nvox] = iimg_cluster_index(dat,xyz,[k])
%
% :Inputs:
%
% **xyz:**
% is 3 x n list of voxel coords, volInfo.xyzlist'
%
% **dat:**
% is index vector of image values
%
% Returns: cl... |
51b30c460302854085826d3d4be8bbf1124d08a119587df36cadd0834fc63de6 | MATLAB | 2,329 | 81 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
f895445ddbc9fe0ea4c51f3ac568bab8b8eec7bec64e6765bb6dd8698a9e4158 | MATLAB | 2,329 | 64 | % create_spontaneous_period_table.m
% Sarah West
% 5/20/22
% Make a table listing the spontaneous behavior periods with all the same
% fields as the motorized behavior periods table made in
% create_conditions_names.m in the motorized_treadmill_behavior_pipeline
% respository.
% First make as a structure, then use str... |
fc2f0925ea5153c46943961a46ec7470956a16024b6d0412e7d18daabd0ebf38 | MATLAB | 2,329 | 58 | function MultiInput1 = Import_Excel_File(workbookFile, sheetName, dataLines)
%IMPORTFILE Import data from a spreadsheet
% MULTIINPUT1 = IMPORTFILE(FILE) reads data from the first worksheet in
% the Microsoft Excel spreadsheet file named FILE. Returns the data as
% a table.
%
% MULTIINPUT1 = IMPORTFILE(FILE, ... |
25f59cf8530e296ff571a8300513fdeddffe006327b9a16c1d2d00a2fae5e665 | MATLAB | 2,330 | 86 |
% Relating peak to dprime
% Hypothesis: relative difference of ITPC peaks is the key determinant of
% behavioral effects
%% Setup
user = 'kantian';
p = meg_params('TANoise_ITPCsession8');
[sessionNames,subjectNames,ITPCsubject,ITPCsession] = meg_sessions('TANoise');
%% Load peak data
filename = sprintf('/Users/... |
3e3c2c691dcbac7035cddfdd87f86651493d40a49fd9796a509a07bdf06d12d2 | MATLAB | 2,330 | 57 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This script corrects the obtained results for multiple comparisons using%
% the Benjamin and Hochberg approach %
% %
% Author: ana.tr... |
695718e1a7974a9e79b406b76c4b1800d6215ed580cdee51dcf913b96cf1729d | MATLAB | 2,330 | 79 | function tbl = kinematCompileSH(kineList)
s = struct(...
'lblCat',cell(0,1),... % int enum for type of label file
'lblFile',cell(0,1),... % 3-level path
'iMov',[],... % movie index within lblFile
'movFile',[],... % [1xnview] movie fullpaths
'flyID',[],...
'frm',[],...
'pLbl',[],... % [1xnLabelPoints*2]=... |
941ee5d26cf4a90f52ec27f91b38ce82ad8af1fa69fa2c751585304bb616edea | MATLAB | 2,330 | 61 | function [orthobasis, L] = orthogonalize(M, x, basis)
% Orthonormalizes a basis of tangent vectors in the Manopt framework.
%
% function [orthobasis, L] = orthogonalize(M, x, basis)
%
% M is a Manopt manifold structure obtained from a factory.
% x is a point on the manifold M.
% basis is a cell containing n line... |
572cc24c5632223359c73951de66f2d0aa98ac72766f4537d5df259b591d1be4 | MATLAB | 2,331 | 54 | classdef CBIG_MFMem_rfMRI_unit_test < matlab.unittest.TestCase
% In this script, we perform the step_1_estimation unit test of Wang2018_MFMem project
% The content of this script is bacically the same as this file's: CBIG_MFMem_rfMRI_estimation_main_ut_test
% Here we change the test scrip's name and pu... |
7cd9b4d6eb1c3b608b02b2199e2bf5be1f66c9296c707f62370536d15e30997c | MATLAB | 2,331 | 108 | function freq_plot(LAN,cfg)
% v.0.0.1
%
% cfg.
% bl = [s1 s2] ; baseline in seconds
% nor = 'z' , 'm' or 'mdb'; Normalizacion por z-score or mean-subtraction
%
% Pablo Billeke
%
% 27.04.2010
if nargin == 0
edit freq_plot.m
help freq_plot.m
return
end
%
if nargin == 1
cfg.bl = [];
cfg.nor = '... |
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