sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ca8601b1a4c2fc1592d1f378e0a8b99fd11eda288678f26be4c6904293ab725e | MATLAB | 1,510 | 64 | function [dat_rs]=sw_dsample_lfp(dat,reFs)
% resample_eeg changes the the sampling rate of a csc trace and generates
% new timestamps
% Example [re_csc,re_cts,reFs2]=sw_dsample_lfp(dat,reFs)
% inputs: csc = csc samples vector as loaded with load_eeg
% cts = originals timestamps vector
% cFs = ori... |
e4269adac4642d99696091c271611fd3ee4ab5691d25d259e3c5dab60ca28a60 | MATLAB | 1,512 | 51 | function [data] = zef_dataBank_getData(zef, type)
data=[];
data.type=type;
switch type
case 'data'
data.measurements=zef.measurements;
case 'noisedata'
data.noisedata=zef.noise_data;
case 'reconstruction'
if iscell(zef.reconstruction)
data.reconstruction=zef.reconstr... |
2aca36d5e308a9ce263e218a30854a82d4ba171c5550d45fc412e578d2da5674 | MATLAB | 1,515 | 24 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef_data = zef_relax;
zef.fieldnames = fieldnames(zef_data);
for zef_i = 1:length(zef.fieldnames)
zef.(zef.fieldnames{zef_i}) = zef_data.(zef.fieldnames{zef_i});
end
clear zef_data;
set(zef.h_rel... |
dbb10e64f3c5b64f4a6c5c5189d841406b1316651a449677f1e3b866baf88ebd | MATLAB | 1,516 | 51 | function [z] = zef_postProcessInverseClassObj(z_inverse, procFile)
%zef_postProcessInverse reorders the inverse output z_inverse to fit the
%visibility options. The procFile is given by zef_processLeadfield
source_direction_mode=procFile.source_direction_mode;
source_directions=procFile.source_directions;
s_ind_1=trans... |
66f886e340b44893b27a35c4052dff368305496ad4666b43af9c52bf7228fb5c | MATLAB | 1,518 | 43 | % Add options
function old_options = add_options(old_options,new_options,overwrite)
% Check whether to overwrite
if nargin < 3
overwrite = false ;
end
validateattributes(overwrite,{'logical'},{'scalar'})
% new options can be in one of three formats
if isstruct(new_options)
... |
7068e42d60dc1046c4df444fc88df956c395dc46e16bf69352c0f16c1f5ec158 | MATLAB | 1,519 | 41 | %Copyright © 2018, Sampsa Pursiainen
function [inv_roi_sphere,h_roi_sphere] = zef_plot_gravity_roi
h_inv_roi_sphere_1 = evalin('base','zef.h_inv_roi_sphere_1');
h_inv_roi_sphere_2 = evalin('base','zef.h_inv_roi_sphere_2');
h_inv_roi_sphere_3 = evalin('base','zef.h_inv_roi_sphere_3');
h_inv_roi_sphere_4 = evalin('base',... |
6c427749669c8b24530a41c14c6539c895bb98645b150edb49893e6473ee375c | MATLAB | 1,523 | 59 | function [vertices, faces, surface_data, surface] = zef_bst_2_zef_surface(varargin)
surface_data = struct;
surface_ind_aux = [];
vertices = [];
faces = [];
surface = [];
subject = [];
surface_properties = [];
scaling_constant = 1000;
if not(isempty(varargin))
subject = varargin{1};
if length(varargin)>1
... |
019e2df88bab10dbbab3065844a77dcfd234d7db0d783ea668ffe5ea9bfe2ac8 | MATLAB | 1,524 | 46 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef_make_butterfly_plot(zef,h_axes_image)
if nargin < 2
if evalin('caller','exist(''h_axes_image'',''var'')')
h_axes_image = evalin('caller','h_axes_image');
else
h_ax... |
4693a903b4e7b68c68d25190571c34b1782bcd3472e9cebf6faa24130214096a | MATLAB | 1,526 | 30 | function DataOut = arrayResize(DataIn,bin)
% Function to downsample an image stack based on averaging through a symmetric box filter.
% Usage: DataOut = arrayResize(DataIn,bin)
% DataIn = x*y matrix to be downsampled. Additional dimensions won't be affected.
% bin = size of the box filter. Downsampled image will consis... |
825906676557b590b1c3e98e75da1f221a368821990c8218c4005f950bc40592 | MATLAB | 1,526 | 54 | % params = GetParams( myobj )
%
% Get the most recently used run parameters.
% These are a struct of name/value pairs.
%
function ret = GetParams( s )
ret = struct();
res = DoGetResultsCmd( s, 'GETPARAMS' );
% res is a cell array, each cell containing a string of form
% '<parameter name> =... |
f017806476e975c1529fd073d48f67ee4d8edd25e7a0e43f0c4695a07483a954 | MATLAB | 1,530 | 45 | function [cv_acc_perm,acc_perm,genplot_perm] = standard_decoding_permutations(X,Y,T,options,binsize,nperms)
% This function computes a null distribution for decoding by randomly
% permuting the labels nperms times. This code is designed to be run
% immediately following a call to standard_decoding, such that the data a... |
47664c3b3518b0bcbefd193a619d1f556b7895f0bbb31ee7fa90fdfbd2ac2c83 | MATLAB | 1,536 | 65 | function M = constantfactory(A)
% Returns a manifold struct representing the singleton.
%
% function M = constantfactory(A)
%
% Given an array A, returns M: a structure describing the singleton {A} as
% a zero-dimensional manifold suitable for Manopt. The only point on M is
% the array A, and the only tangent vector at... |
87cee99c85d9be7f26524c916cf690d60fbc00000604128fb383a3abcafaf2c3 | MATLAB | 1,536 | 43 | function [list] = zef_insideGMM(GMM, points, numberOfModels)
%evaluates whether the points (p*3) are inside the elipsoid(s) of the GMM. If
%there are N elipsoids, numberOfModels (1-N) decides how many of those are
%evaluated. The Evaluation will be sorted according to the maximum power
%inside?
%the return value is a l... |
dbdcf8c79caa4edb1068ad5c89f6331d0779af56ee860157b832bd40a4404680 | MATLAB | 1,536 | 53 | function [I, distance_vec, label_vec] = zef_solid_angle_labeling(zef, tetra, nodes, h)
if nargin < 4
h = zef_waitbar(0,'Mesh labeling.')
close_waitbar = true;
else
close_waitbar = false;
end
I = zeros(size(nodes,1), 1);
distance_vec = zeros(size(nodes,1), 1);
I_2 = [1 : length(I)]';
compartment_counter =... |
903096cb05e1a7abb02d30cdb5bed40d762426f7c83fa1e22bae2cef1d9c4d2a | MATLAB | 1,539 | 58 | function Gamma = initGamma_random(T,K,D,Pstructure,Pistructure)
% Return a Gamma timecourse corresponding to random transitions with a given
% dirichletdiag (i.e. the transition probability prior)
%
% Author: Romesh Abeysuriya, University of Oxford (2017)
rng('default')
rng('shuffle') % make this "truly" random
% For... |
4a9ebfb44d258f108a0ee24d4146f88b35a3d960709b35fed4dcc7205d754ec4 | MATLAB | 1,546 | 56 | TiffFolder='/network/lustre/iss01/wyart/rawdata/mathilde.lapoix/SCAPE/tiff_stacks/220210/F2_run5subset_for_volumeavg/';
SaveFolder='/network/lustre/iss01/wyart/analyses/mathilde.lapoix/SCAPE/Illustrations/Volume_Avg/';
cd(TiffFolder)
%Find all tif files in the initial directory.
list=dir('*/pla*.tiff');
NPlanes=... |
676f64bb18258adc37c9dcfcf41c2e9f2ab3c1ed786793d8b5071b96355523e3 | MATLAB | 1,546 | 68 |
function zef_nse_plot_histogram(zef, plot_vec, x_label, legend_text)
if nargin < 4
legend_text = cell(0);
end
p = [0.8 0.5];
p_legend = {'IDR','IQR'};
alpha = 0.5;
legend_cell = cell(0);
h_axes = zef.h_axes1;
axes(h_axes);
hold off;
c_map = lines(size(plot_vec,2));
c_map = c_map + 0.1;
c_map = c_map/max(c_m... |
8a64f7dedc0ba3e141a8e6c555e7371718d391e9cc4b61dc985ebd626e2feb2d | MATLAB | 1,549 | 44 | addpath('scripts');
% Examples tuned to save the simulations in the AI, Iso, BS, and SZ regimes
% AI
regime_type = 'AI'; % select either AI/Iso/BS/SZ
durtn = 1; % provide the duration of the simulation
outdirpath = './output_dir'; % provide the output directory to save the simulation output;
tic; % for getting ru... |
9551da93c0b3efe18a113d67ba467aad0855e93f878c05e6d26860f74b15d47c | MATLAB | 1,552 | 52 | function realign_all_niftis_unused(outputfolder, suffix)
%% main
if nargin < 1
outputfolder = '/data2/MRI_PET_DATA/processed_images_final';
end
if nargin < 2
suffix = '';
end
MRI_folder_init = ['/data2/MRI_PET_DATA/raw_data/MRI_nii' suffix filesep];
MRI_folder_new = [outputfolder '/ADNI_MRI_nii_recenter' suffi... |
37c148eaa527ab5fb46e3fc55229f1343924abdac4b3cdc7cd3da225e6a2d084 | MATLAB | 1,553 | 33 | function [vecProjectedLocation,matProjectedPoints,vecProjLocDimNorm] = getProjOnLine(matPoints,vecRef)
%getProjOnLine Summary of this function goes here
% [vecProjectedLocation,matProjectedPoints,vecProjLocDimNorm] = getProjOnLine(matPoints,vecRef)
%
%vecProjectedLocation: norm of projected points along reference... |
b9425b2d6ad80273af32ebdd8fe6ce02500e9e4431760f2b462ab955dbff60dc | MATLAB | 1,553 | 42 |
if not(isfield(zef,'strip_struct'))
zef.strip_struct = struct;
end
if not(isfield(zef.strip_struct,'center_point'))
zef.strip_struct.center_point = [0 0 0;0 0 0];
end
if not(isfield(zef.strip_struct,'dir_vec'))
zef.strip_struct.dir_vec = [0 0 1; 0 0 1];
end
if not(isfield(zef.strip_struct,'strip_type'))
zef.strip_... |
43d1395db548e868d35e03a0825cb55617dbdd24c86323cec1b3f2b228610ad1 | MATLAB | 1,556 | 53 | function [f,t] = zef_getTimeStep(f_data, f_ind, zef)
%zef_getTimeStep gets the time windows and segments of f_data that are
%specified in the zef.inv_time* parameters. f_ind gives the number of the given window (first, second, third ...)
% if there is only one time step, f_data is returned.
%Should the specified time s... |
d8c394656072e9c43e1c533243e07f4e23d338c5687d3cdeebeab59f818b7950 | MATLAB | 1,556 | 39 |
%--------------------------------------------------------------------------------
% behavior_analysis.m
%
% Copyright (C) 2024 Takuya Isomura
% (RIKEN Center for Brain Science)
%
% 2024-10-28
%--------------------------------------------------------------------------------
function bhv = behavior_analysis(data,Ttrial... |
6ac789dbaccac512e41192fc8211d34f5797b4e407d2d1ec8d37e000d1bd227c | MATLAB | 1,558 | 41 | function [log_likelihood_ratio] = calculate_log_likelihood_neuronal_blockwise(params, best_model, blocks)
%% set up
num_original_nodes = params.num_neurons;
num_udf_nodes = params.num_udf;
num_nodes = num_original_nodes + num_udf_nodes;
x_train = params.x_train;
x_test = params.x_test;
x_valid = params.x_valid;
datase... |
77484d7596f498353973fe9ed1cd3c48abe9693c11b27ddbc17087c60b4a0d1a | MATLAB | 1,564 | 49 | function S = openETSui2()
% open dataset
%ets = '/Users/defazio/Documents/ciatah/TDciatah/data/_20220210a_04_/stack1/frame_t_0.ets';
%name = '20220210_a_m0_kiss.h5';
[file,path] = uigetfile('*.ets');
if isequal(file,0)
disp('User selected Cancel');
return;
else
disp(['U... |
1396ac8ba310a68a5ac295524b99dcd7251d2fcdafba498c3ec617527c384e9b | MATLAB | 1,567 | 49 | function obj = preprocess_ampenv(obj,varargin)
% Calculate amplitude envelope of data
% check inputs
options = microstate.functions.make_options(varargin) ;
% default options
defaults = {'bpfilter',[] ;
'resample',[]} ;
options = microstate.functions.add_options(opt... |
7db8707d170b05f11b9c42f0c99243ca03675f8f58ee034b56a5942353af96cf | MATLAB | 1,570 | 57 | function [w,ITDt,dur_real] = MakeMSeqMovingNoiseStim(dur,Fsample,RandSeed,mseq_ITDstart,mseq_ITDend,Rho,Seq_Step_Duration,N,ContraChan)
%Generate an MLS 2^N-1 long
mseq = mls_mark(N,0,RandSeed);
%The number of samples for each ITD token
SegSamps = round(Seq_Step_Duration*1e-3*Fsample);
ChunkSamps = SegSamps*... |
c2c828c4fe54e050df1841fe40fb85269c4c54147b490396ec8e971e00d077a9 | MATLAB | 1,575 | 66 | function s = num2str(x,varargin)
%NUM2STR Convert numeric to char, unless input is already char!, can return a cell array
%---
% function s = num2str(x[,'cell'][,'quotestrings'][,'format'])
%---
% convert numerical value x into a string representation... unless s is
% already a character array!
%
% use the 'cell' flag... |
b3df3d95236f03512f3409eefde48ee4a8fcb60e5c0ef4b9cdae575eb3aae89b | MATLAB | 1,578 | 42 | function generate_components(app)
% Generate the following array of components
components = {
@generate_roi_preview,...
@generate_data_preview,...
@generate_max_degree_structural_learning,...
@generate_mean_degree_structural_learning,...
@generate_median_degree_structural_learning,...
@generate... |
fee12cc5776d69769daf83350a6455fb5f326025a11b231a487ac3405674c224 | MATLAB | 1,578 | 46 | function data = standardisedata(data,T,standardise,valid_dims)
N = length(T);
if standardise
for i = 1:N
t = (1:T(i)) + sum(T(1:i-1));
if isstruct(data)
data.X(t,:) = bsxfun(@minus,data.X(t,:),mean(data.X(t,:)));
sdx = std(data.X(t,:));
if any(sdx==0)
... |
a7af2fbf27d187a10588450eb8f82364146f14e5df92f74a6cb09b979aa34429 | MATLAB | 1,579 | 38 | zef.reconstruction = cell(0);
z_max_points = zeros(length(z_inverse_results),3);
z_cluster_centres = zeros(length(z_inverse_results),3);
z_max_deviations = zeros(length(z_inverse_results),1);
z_mean_deviations = zeros(length(z_inverse_results),1);
for k = 1 : length(z_inverse_results)
z_max_points(k,:) = example... |
f15b7df0693f5d3bdaaae958fb93158c33fb54bd930a1779048a17d2dd76569b | MATLAB | 1,581 | 37 | function kl = symm_kl_div(m1,m2,Sind,covtype)
% symmetric kullback leibler divergence between MVN m1.W and m2.W
fullcovtype = strcmp(covtype,'full') || strcmp(covtype,'uniquefull');
if isfield(m1,'W') && ~isempty(m1.W.Mu_W)
[nprec,ndim] = size(m1.W.Mu_W);
kl = 0;
for n=1:ndim
if fullcovtype || ndi... |
17e32eb3c3fea182339bc60edd4f461204dcb06251726a7ad7b91c7b79302de2 | MATLAB | 1,583 | 46 | function [matMean,matStd,cellVals] = getMatrixBlockMeans(matIn,vecIdentities)
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
%create selection vectors
vecIDTypes = unique(double(vecIdentities));
intNumIDs = length(vecIDTypes);
vecFirstVal = ones(1,length(vecIDTypes));
vecLastV... |
d7439a7c4c0f81448ba81efcb19d6d8ac23ce4ffc06a5b99a44fc031e3c66202 | MATLAB | 1,587 | 45 | function [M, multigrid_perm_output] = zef_block_diagonal_preconditioner_uniform_prior(L, multigrid_dec, multigrid_perm)
multigrid_perm_output = cell(0);
n_sources_aux = length(multigrid_perm{1});
n_system_aux = length(multigrid_perm{2});
n_system = 3*n_system_aux;
M = sparse(n_system, n_system, 0);
snr_val = evalin... |
bf67de1cbeaf5ace7a5d17470b0ac6db5c82a8447fa39b526222deae79b7865d | MATLAB | 1,590 | 99 | clear all
close all
clc
%% change the frequency of infty symbol
addpath('./tools/')
time_today = datestr(now, 'mmddyyyy');
% traj_frequency_set = round(exp(linspace(log(1), log(500), 10)));
traj_frequency_set = round(linspace(1, 400, 20));
iteration = 50;
val_length_all = 300000;
disturbance = 0.00;
measurement_n... |
7b75b9c36a2270ffaa20b8e74a10d11dae26538e70e7fff09ceb1193eaf6d22f | MATLAB | 1,591 | 41 | function ROIstats = processDFoF0(ROIstats, t1, t2, t4 ) %, minminBF)
% based on processROIs2!
% note all functions within are using frames not time!
% t1 = 50;
% t2 = inf;
% t4 = 2000;
% dt is time step "interval"
%n = size( ROIstats, 2 ); % number of ROIs
nROIs = ROIstats.nROIs; % ROIsta... |
1218401f67da079d1f8a4e627d64edbe53a0816622c8747e3245d7a97f0cfd28 | MATLAB | 1,593 | 42 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [inv_roi_sphere,h_roi_sphere] = zef_plot_roi
h_inv_roi_sphere_1 = evalin('base','zef.h_inv_roi_sphere_1');
h_inv_roi_sphere_2 = evalin('base','zef.h_inv_roi_sphere_2');
h_inv_roi_sphere_3 = ev... |
09caf62703633f48d468b5ea633ad7964ad1a305a5cf6030e4bf51c6da2c614d | MATLAB | 1,597 | 45 | %training_data_file_name = 'training_dataset_p1_10dB.mat';
%credibility_data_file_name = 'credibility_dataset_p1_10dB.mat';
examples.studies.decision_making.zef_parameters_focal_epilepsy
load(training_data_file_name);
if not(exist('zef','var'))
zef = zeffiro_interface('start_mode','nodisplay','open_project',proje... |
db6c903a37a6e48ff6a078a616c5dae8059c9494ea12fdebc189538a0b88d748 | MATLAB | 1,603 | 28 | function zef_set_sliders_plot(mode)
if mode == 1
evalin('base','zef.h_axes1.Colormap = zef_colormap(zef.h_update_colormap.Value);');
evalin('base','zef_update_colorscale;');
evalin('base','zef_update_ambience;');
evalin('base','zef_update_diffusion;');
evalin('base','zef_update_specular;');
ev... |
a4b1cb999ee28385f736e35f8698d983011bbc9d4dcf4d7f0a27d061ba14a6b8 | MATLAB | 1,604 | 63 | function [indexList,indexLow,indexHigh] = getOutliers(data,stdCutOff)
%getOutliers Get indices of values outside specified bounds
%syntax: [indexList,indexLow,indexHigh] = getOutliers(data[,stdCutOff])
% input:
% - data: vector containing values
% - stdCutOff: number of standard deviations from mean that is
% co... |
b0112fc252716641b3d7fd16556536bf4a8d28efdcea2558dc5ae5e01a211163 | MATLAB | 1,606 | 45 | function hmm = updatePCAparam (hmm,Gammasum,XXGXX,Tfactor)
K = length(hmm.state); ndim = hmm.train.ndim;
if nargin<5, Tfactor = 1; end
p = hmm.train.lowrank;
for k = 1:K
% unlike Bishop's mixture of PCA, we don't have a mean vector per state here
v = hmm.Omega.Gam_rate / hmm.Omega.Gam_shape;
W = hmm... |
ccdaa21eaee2e8bb813075df7a7aeb967188dd48423d3aedd7a6398fe4ab07de | MATLAB | 1,608 | 39 | zef.h_compartment_table.Data = [];
zef.compartment_tags = cell(0);
zef.compartment_transform_name = cell(0);
zef.compartment_structure_aux = cell(0);
if not(zef.new_empty_project)
zef.segmentation_profile_aux = readcell([zef.program_path '/profile/' zef.profile_name '/zeffiro_segmentation.ini'],'filetype','text... |
f2125d5eae931e1fcde6f9fc865b9401cf2574a452f8aa4dfc78baf1fc58f444 | MATLAB | 1,608 | 40 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [nodes,tetrahedra,sigma,brain_ind,surface_triangles] = zef_import(void)
if not(isempty(evalin('base','zef.save_file_path'))) & not(evalin('base','zef.save_file_path')==0)
[file file_path]... |
3074690e619c507d0e3948640c2f636a4bd4849871601af5fd073ff5b7907dd7 | MATLAB | 1,614 | 40 | % RemoveSubplotWhiteArea: È¥³ýsubplotÖÜΧµÄ¿Õ°×²¿·Ö
% RemoveSubplotWhiteArea(gca, sub_row, sub_col, current_row, current_col)
% ÊäÈë
% gca :axes¾ä±ú
% sub_row :subplotµÄÐÐÊý
% sub_col :subplotµÄÁÐÊý
% current_row :µ±Ç°ÁÐÊý
% current_col :µ±Ç°ÐÐÊý
%
% ×¢Òâ:ʹÓÃÈçÏÂÓï¾ä,print±£´æͼƬµÄʱºòʹÆä°´ÕÕÉèÖÃ... |
f914b6d253eb086b41271318c330dc6182cc412005f7cebe3328bf437040ea7d | MATLAB | 1,616 | 57 | function FileNamesForSubjects = Fun_ReadSubjectsToFileNamesMapping(Path,...
InputFileName)
%% Written and updated by M. Nollet (Aug 2023)
% Adapted from a script written by R. Winsky-Sommerer (DE_Jan2013)
%
% Read information in Input file listing for each subject (listed as a
% number) the raw files
%
%... |
87afe980241bbe1d4dd3d236db4fc5b214e21c415db387a3320fd63593067573 | MATLAB | 1,621 | 62 | function h = slice3(vol, I2X, slicedim, sliceidx, handle)
% Display a slice from a volume in 3-D
% h = slice3(vol, I2X, slicedim, sliceidx, handle)
%
% Vol is either a scalar or RGB volume, e.g. N x M x K or N x M x K x 3.
% I2X is a transformation matrix from volume coordinates to xyz 3-D world
% coordinates, similar... |
c7de04f6d76e3d941a53afc44c287c33c584595d7a6f2657bc5df3cbd9671cac | MATLAB | 1,623 | 40 | function features = extractFeaturesMultiChsWaveAMI( signalSet, Fs )
%
% extractFeaturesMultiChs
%
% Calculate auto-mutual information (AMI).
%
% Author: Ian Daly, 2013
%
% License:
%
% This program is free software; you can redistribute it and/or modify it under
%... |
1efd533572a7f57a9bf30e39800abb25370ba07b81ccde4cd1457406c1cdf8dd | MATLAB | 1,625 | 37 | function gd = zef_init_signal_general_data()
%ZEF_INIT_SIGNAL_GENERAL_DATA Default global signal parameters (new naming).
gd = struct();
%% --------------------------------------------------------------------
%% General signal parameters
gd.samplingRate_Hz = nv('samplingRate_Hz', 1000);
gd.gau... |
9530ea0d99185a8abc5334c26a59a702781c6c0857e7bc328f989fe723e640de | MATLAB | 1,625 | 54 | function zef = zef_remove_object_handles(zef, node_name, h_list)
skip_class_list = {'matlab.io.MatFile'};
if nargin < 2
node_name = 'zef';
end
if isempty(node_name)
node_name = 'zef';
end
if nargin < 3
h_list = [];
end
fields = fieldnames(eval(node_name));
for i = 1 : length(fields)
aux_string = [n... |
f3280b9ad23f4bfebb6757284e4cd064e7385f87c99e5d51e907ecb5174d0fae | MATLAB | 1,630 | 58 | function [aux_compartment_ind, aux_brain_ind, property_compartment, property_brain] = zef_get_active_compartments(zef,varargin)
property_name = cell(0);
property_compartment = cell(0);
property_brain = [];
if not(isempty(varargin))
property_name = varargin{1};
end
compartment_tags = eval('zef.compartment_tags');... |
38ff497de46069954e16a91edb6e6853a25094881034c566d8fa5b2503800200 | MATLAB | 1,632 | 67 | % Compare original admUI with admUI with acceleration;
% Generate data for Fig. 4 in paper
clear all;
addpath(genpath('../'))
% pregenerated 300 distributions
load('../../data/dataPy.mat')
ns = 2; nz = 2 ; ny = 2;
% read only a part of the full set of distributions
ndist=250;
neps = linspace(1,12,12);
eps = 10.... |
685a08dc482a3cbab9a1cde76ed9dca267bac5654f88fb3e409844f7dd55597b | MATLAB | 1,634 | 44 | classdef PoolingInd < dagnn.Filter
properties
method = 'max'
poolSize = [2 2]
opts = {'cuDNN'}
kernel = parallel.gpu.CUDAKernel('kernel_pooling.ptx','kernel_pooling.cu','my_poolingIndices');
lastIndices = [];
end
methods
function outputs = forward(self, inputs, params)
% kernel set... |
ee240a053ede7b2248ff917470afab386bd1558be08a1ddb23649de2b651b274 | MATLAB | 1,636 | 53 | function [X, Y, Z, pml_ind] = zef_pml_mesh(inner_radius,outer_radius,lattice_size,max_size)
growth_param = 1 + 1e-15;
convergence_value = Inf;
while convergence_value > 1e-5
extra_layers = round(log(((outer_radius-inner_radius)*(growth_param - 1))/(lattice_size*growth_param) + 1)/log(growth_param));
growth... |
aaeb8cfd10cc62d25055042365a0a1dded1f1a32e3f28081b8f2a9224c93e417 | MATLAB | 1,641 | 46 | % tuto3_sinus_generator_Process.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 25 May 2012
%
function box_out = tuto3_sinus_generator_Process(box_in)
channel_count = box_in.settings(1).value;
samples_per_buffer = box_in.settings(2).value;
amplitude = box_in.settings(3).v... |
a15dfd2ea4d3c1c5f65a204136156a308432b2e5068d3e34b9f037911a498a6d | MATLAB | 1,644 | 44 | function [ data, feature ] = ha_time_test( data, classifier, model, parm )
% Descriptions for the ha_time_test
% + Input
% - data: test data
% - data.t [1 x Nt]: sampling time vector
% - data.y [1 x Nt]: observed Ca response
% - classifier: the trained classifier
% - model: the estimated Ca ... |
d49fa384a08940834739e965740c545a9cb29faf7aa2e8636bcbd9239ce0f2b1 | MATLAB | 1,647 | 50 | function twoPairs = localFWHdelta1D2( xprofile, yprofile, profile, r )
twoPairs = zeros(2,2);
% each pair is based on FWHdelta, full width at half delta
% where delta = max - min of image subregion
% defined by win and location of click
% img is a 2d image array; note smoothing in preprocessing
% xx, yy is the locati... |
0a47e6f7832f32e1f5fd5996059e31e92f1d7646091c4772b59c30b732c304e8 | MATLAB | 1,649 | 21 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef.exp_multires_n_levels = str2num(get(zef.h_exp_em_multires_n_levels,'string'));
zef.exp_multires_sparsity = str2num(get(zef.h_exp_em_multires_sparsity,'string'));
zef.exp_multires_n_decompositions =... |
ed28bda0a60d5a77b2d6ed65d1f4a5e43578b9dac33091dbe8b3e3bbc561fc4d | MATLAB | 1,652 | 63 | function [matW, dblMSE, intRank, sSuppOut] = doRidgeRRR(matX,matY,intRank,dblLambda)
% Y = X*matW subject to Ridge regularisation
%% initialize
% Make sure matrices are the same length
assert(size(matX,1)==size(matY,1), 'X and Y must have the same number of observations.')
% Define prima facie constants.
intR... |
57457b9c13b2f0b1dee857437dd474035db2ddac863634a2b34211e985030dde | MATLAB | 1,653 | 54 |
tic;
if zef.source_direction_mode == 1
zef.lf_param.direction_mode = 'cartesian';
end
if zef.source_direction_mode == 2
zef.lf_param.direction_mode = 'normal';
end
if zef.source_direction_mode == 3
zef.lf_param.direction_mode = 'basis';
end
if isfield(zef,'preconditioner')
if zef.preconditioner == 1
... |
1671071932e3916e8976787002820af7e3388b3281c7ee6d9454594845b6dde4 | MATLAB | 1,654 | 82 | function dti_tensor = zef_dti_tensor(data_dir, bvec_file, bval_file, scale_value)
if nargin < 4
scale_value = 1;
end
bvec_file = fullfile(data_dir, bvec_file);
bval_file = fullfile(data_dir, bval_file);
bvals = dlmread(bval_file);
bvals = bvals(:);
bvecs = dlmread(bvec_file);
if size(bvecs,1)==3
G = bvec... |
3a0773008787da01beeb6bc04995bcfc74ef0f2cff899931c2611005dc3afceb | MATLAB | 1,656 | 47 | function sCat = catfields(sIn,cellFields,boolRemNans)
%catfields Concatenates fields in structure
% Syntax: sCat = catfields(sIn,cellFields,boolRemNans)
%get fieldnames to run
if nargin < 2 || isempty(cellFields)
cellFields = fieldnames(sIn);
end
if nargin < 3 || isempty(boolRemNans)
boolRemNans = true;
... |
4c05cbe49b64a1c8da3153509b41e0504321a64c5d80795e5fb0274fce5b0f25 | MATLAB | 1,661 | 44 | function [nbn] = makeNBNfft_binaural_V2(flow,fhigh,dur,fs,rho,ITD)
%flow,fhigh, and fs in Hz
%dur in secs
%implement later maybe: adjust samples via pow2 to increase computational speed ...
if flow <0 || fhigh > fs/2
error('flow || fhigh is not cool')
end
if abs(rho) ~=1
error('Currently rho can onl... |
33540433fa1372f69365ff567200fb1d0407840305f684ae3c8aa5032157d099 | MATLAB | 1,664 | 57 | function zef_strip_tool_plot(zef)
strip_struct = zef.([zef.current_sensors '_strip_cell']){zef.strip_tool.current_strip};
[strip_struct] = zef_create_strip(strip_struct);
points = zef_strip_coordinate_transform(strip_struct,'forward');
axes(zef.h_axes1)
h_strip = findobj(zef.h_axes1.Children,'Tag','additional: strip... |
b984e5e2399d4c001ab65d0f4bd15b8e6be0a8c5f3167bce2d86cbbac831b4a9 | MATLAB | 1,665 | 39 | z_inverse_info = [z_inverse_info repmat({'Maximum point'},size(z_inverse_info,1),1); z_inverse_info repmat({'Cluster centre'},size(z_inverse_info,1),1) ];
z_inverse_results = [z_inverse_results z_inverse_results];
z_mean_deviations = [zeros(size(z_max_deviations)); z_mean_deviations];
z_max_deviations = [zeros(size(z_m... |
29e2d05558ed73a28f5c843a4d45eefb0ae51afce795735a608eedaac98fbd53 | MATLAB | 1,668 | 67 | function str = strcat(c,varargin)
%STRCAT Concatenate strings and numbers into a single string, with optional separator sequence
%---
% function str = strcat(c)
% function str = strcat(c,sep)
% function str = strcat(c,left,sep,right)
%---
% Concatenate strings in cell array c, adding the separator sep between
% each el... |
40623180dfb630c5c2cf6144e9cc1d56dfaacb8201838f1dbe788a5c4eb65908 | MATLAB | 1,669 | 99 | function M = zef_surface_scalar_matrix_Dn(nodes, tetra, g_i_ind, n_ind, scalar_field, weighting)
%
% zef_surface_scalar_matrix_Dn
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - g_i_ind
%
% TODO: explanation.
%
% - n_ind
%
% TODO: ex... |
9cc4767c39192965e33c20006272ffcb2b1a2771d1c84a6400888b43da77a780 | MATLAB | 1,672 | 21 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef.exp_multires_n_levels = str2num(get(zef.h_exp_ias_multires_n_levels,'string'));
zef.exp_multires_sparsity = str2num(get(zef.h_exp_ias_multires_sparsity,'string'));
zef.exp_multires_n_decompositions... |
bd0c547b2e292567e11da3db07dc2515e053500c20f3ab06d278f20945f29f31 | MATLAB | 1,680 | 35 |
%reads the current data into the aux field and adds it to the bank
zef.LeadFieldProcessingTool.auxData.source_interpolation_ind = zef.source_interpolation_ind;
zef.LeadFieldProcessingTool.auxData.parcellation_interp_ind = zef.parcellation_interp_ind;
zef.LeadFieldProcessingTool.auxData.source_positions = zef.source_po... |
a9f9a088e30d15fe6bc585ecee980ccd0d26b9f53c4a7d0f1debf03c03d8d162 | MATLAB | 1,682 | 69 | function [P_store, z_inverse] = double_kf_sL(m,P,A,Q,L,R,timeSteps, number_of_frames, smoothing, sL, standardization_exponent,burn_in)
P_store = cell(0);
z_inverse = cell(0);
h = zef_waitbar(0,1, 'Filtering');
zero_m=zeros(size(A,1));
L_zero=zeros(size(L,1),size(L,2));
A=cell2mat({A,(1/number_of_frames)*A;zero_m,A})... |
d3315e96a2efdbdde99ff353a512cfadb51c3bad3233a110ff17efcb7a30a71a | MATLAB | 1,683 | 25 | zef.h_create_dipolar_pair_table.Data = cell(0);
zef.h_create_dipolar_pair_table.Data{1,1} = 'x coordinate';
zef.h_create_dipolar_pair_table.Data{2,1} = 'y coordinate';
zef.h_create_dipolar_pair_table.Data{3,1} = 'z coordinate';
zef.h_create_dipolar_pair_table.Data{1,2} = zef.create_dipolar_pair_x;
zef.h_create_dipolar_... |
bd016470e90cc13dd0aae10523bdfac21dc45dbc1b6a560d8cd63329e53c63f1 | MATLAB | 1,684 | 106 | % clear all
% close all
% clc
addpath('./tools/')
%%
load('./save_file/all_traj_06282022.mat')
time_today = datestr(now, 'mmddyyyy');
plot_val_and_update = 0;
blur.blur = 0;
plot_movie = 0;
traj_type = 'infty';
if exist('traj_type','var') == 0
traj_type = 'infty';
end
traj_type = 'infty';
failure.type = 'a... |
d2bb4d361a543597cc174adcd94fd7aeb0a6f5eeeb5876e3516046bf22899347 | MATLAB | 1,684 | 29 | function update_decoding_text(app)
v = app.StimulusEM.Value;
dataset = app.ViewPerfButtonGroup.SelectedObject.Text;
if strcmp(dataset, 'FULL')
dataset = 'full_performance';
elseif strcmp(dataset, 'TEST')
dataset = 'test_performance';
elseif strcmp(dataset, 'TRAIN')
dataset = 'training_perform... |
d29a27a6e318ae50691707be86f625e84efd75cb58ab9d3ffc7c13fa583f2374 | MATLAB | 1,685 | 27 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if ismac
zef.h_exp_em_map_estimation_multires = open('exp_em_map_estimation_multires.fig');
elseif ispc
zef.h_exp_em_map_estimation_multires = open('exp_em_map_estimation_multires.fig');
else
... |
29d6e871963695d5621a285be3e109887fcb1f7ad69ee3da824e161b7f156edd | MATLAB | 1,686 | 53 | function vecFilledData = fillfromtrough(vecData)
%fillfromtrough Fills valleys bidirectionally outward from lowest trough
% vecFilledData = fillfromtrough(vecData)
%
%This function will return a u-curve shaped output with a unique
%minimum and strictly non-decreasing values outward from the trough. In
%essence,... |
1f668bf92beaea69fbbbc176bd5cf21c30d4d12f3e3d2a370290ee4d30158bad | MATLAB | 1,687 | 45 | %Copyright © 2018- Joonas Lahtinen, Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [amp] = GMM2amplitude(dipoles,ind,frame,type)
amp = ones(size(dipoles,1),1);
L = evalin('base','zef.L');
f = zef_getFilteredData;
f=zef_getTimeStep(f, frame);
n_interp = leng... |
452231ed03f7dde427fa8ebd3ea1ab92fbe2874d161179c8bc4540105c9b387a | MATLAB | 1,689 | 47 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [iasroi_roi_sphere,h_roi_sphere] = zef_iasroi_plot_roi(zef)
if nargin == 0
zef = eval('base','zef');
end
h_iasroi_roi_sphere_1 = eval('zef.h_iasroi_roi_sphere_1');
h_iasroi_roi_sphere_2 ... |
9c5b777de9550cbe6cd30a6551579551789bdb406713a1c2a4ad91d550820844 | MATLAB | 1,690 | 43 | function [acc,acc_star,Ypred,Ypred_star,Gammapred,acc_Gamma,AUC,expLL] = tucacv(X,Y,T,options)
% Wrapper function to perform temporally unconstrained classification
% Analysis (TUCA). This function is now merely a wrapper function with core
% functionality maintained in tudacv.
if ~isfield(options,'classifier')
opt... |
cc8e17da1ea51ad3ee8508c11be6ee3dec3742315307220f8d4d6a804deb1606 | MATLAB | 1,690 | 36 | function zef = zef_start_log(zef)
if zef.use_log
if not(exist([zef.program_path filesep 'data' filesep 'log'],'dir'))
mkdir([zef.program_path filesep 'data' filesep 'log']);
end
zef.current_log_file = [zef.program_path filesep 'data' filesep 'log' filesep zef.zeffiro_log_file_name '_' num2str(leng... |
6c8dd4d58c607e6746e460cfe8ee14af46346da25ccdd097d2e8cf7f022f796b | MATLAB | 1,691 | 57 | function ETP_ImportFrames(handles,dummy,boolInit)
%get globals
global sETP;
global sFigETP;
%get import #
sETP.intImportPoints = str2double(sFigETP.ptrEditImportPoints.String);
sETP.intImportStretch = str2double(sFigETP.ptrEditImportStretch.String);
% message
ptrMsg = dialog('Position',[600 400 250 50],'N... |
c7bb4753469e51e613bbdf87c91742449e1f3b6729bcb7c1c83435d22917393f | MATLAB | 1,694 | 39 | function zef_sensors_table_selection(hObject,eventdata,handles)
sensors_selected = eventdata.Indices(1);
sensor_tags = evalin('base','zef.sensor_tags');
imaging_method_cell = evalin('base', ['zef.imaging_method_cell']);
imaging_method_name = evalin('base', ['zef.' sensor_tags{sensors_selected} '_imaging_method_name'... |
8d580d81dc3394df8238bc4333699b671a4427d554bec8e64761054f42735168 | MATLAB | 1,695 | 47 |
%--------------------------------------------------------------------------------
% param_norm.m
%
% This demo is included in
% Canonical neural networks perform active inference
% Takuya Isomura, Hideaki Shimazaki, Karl J. Friston
%
% The MATLAB scripts are available at
% https://github.com/takuyaisomura/reverse_engi... |
fd55cf5d7c8ed14065975e5f84dad38fee456bf876e06ea7e18f6800400d6d10 | MATLAB | 1,697 | 58 | function obj = stats_gev(obj,addprocess) ;
% Calculate GEV of microstates
% check we have GFP, maps, and labels
if isempty(obj.gfp)
obj = obj.calculate_gfp ;
end
if isempty(obj.maps)
error('Maps are required to calculate GEV')
end
if isempty(obj.label)
obj = o... |
c6dda3331dcaafc19b221156ac3e2b97d4d4c66b3f9390f35f328956dd2e80f8 | MATLAB | 1,700 | 42 | %% Format the data into a microstate cohort
% For a within-individual design, each participant and each condition is an
% individual. Importantly for within-individual design, in the cohort you
% MUST make sure to upload one of each condition for each participant *in
% the same order for all conditions*, e.g. if th... |
71f250548aab80937752150b7d8286c012d7063e45e17c106adfd97e45f9ccf8 | MATLAB | 1,701 | 65 | function plotTube( mat3Resp )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%
%mat3Resp: [intNeuron x intType x intRep]
mat3Mean = xmean(mat3Resp,3);
vecW = xstd(mat3Resp,3)/2;
vecX = mat3Mean(1,:);
vecY = mat3Mean(2,:);
vecZ = mat3Mean(3,:);
%plot wide tube
%clo... |
c4ce55920fcc460bf02fd5b1f96c85160cfd07dfb981cf8e1bf8525eb97b5452 | MATLAB | 1,707 | 52 | function [ind]=next_peak(csc_part,ind0,flag)
% next_peak finds the closest local maximum or minimum to the end or
% begining in a csc trace part
switch flag
case 'maxback'
[~,k]=findpeaks( csc_part ); %max
if ~isempty(k)
ind=ind0-(length(csc_part)-max(k)); %closes... |
c14d1ffa10b58eb0e2795c786f10abd8cd042d5b0a7c06cefb5e1194309e7298 | MATLAB | 1,712 | 50 | function zef_store_cdata(varargin)
data_status = 1;
cdata_info.frame_start = evalin('base','zef.frame_start');
cdata_info.frame_stop = evalin('base','zef.frame_stop');
cdata_info.frame_step = evalin('base','zef.frame_step');
if not(isempty(varargin))
data_status = varargin{1};
if length(varargin)>1
cd... |
64a2516df4a9f36956de8b7ef91e639f5d8fbc5844219c01ffc8988c81533b85 | MATLAB | 1,714 | 48 | function [M, multigrid_perm_output] = zef_diagonal_preconditioner_uniform_prior(L, multigrid_dec, multigrid_perm)
multigrid_perm_output = cell(0);
n_sources_aux = length(multigrid_perm{1});
n_system_aux = length(multigrid_perm{2});
n_system = 3*n_system_aux;
M = sparse(n_system, n_system, 0);
snr_val = evalin('base... |
70c3eb472b1306f34843b9a55844468bbdf23463d8fc55e3ca095c48f4556866 | MATLAB | 1,715 | 42 | function hmm_out = logisticMergeHMM(hmm_marg,hmm_full,iY)
% This function takes a multiple logistic strcuture HMM and returns the
% equivalent HMM with only the marginalised component iY of the
% logisticYdim components.
Xfulldim = hmm_full.train.ndim;
Xdim = Xfulldim - hmm_full.train.logisticYdim;
Xfulldim_new=Xdim+1... |
661789284f89328a8229885cda67a22895867555813384c3fee2325e803bbab8 | MATLAB | 1,716 | 45 | function [processed_data] = zef_manual_epoching(f, epoch_points, start_time, end_time, sampling_frequency)
%Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
%This function processes the N-by-M data array f for N channels and M time
%steps. The other a... |
819dd308cb9fcf94132c0aef48fc2d32199fd5f90b791495d9d0a578e20f7833 | MATLAB | 1,717 | 27 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if ismac
zef.h_exp_ias_map_estimation_multires = open('exp_ias_map_estimation_multires.fig');
elseif ispc
zef.h_exp_ias_map_estimation_multires = open('exp_ias_map_estimation_multires.fig');
e... |
0762331d37470970063c6963b5b8968219d98d0a692ff69abcefe3e9ece08c8e | MATLAB | 1,719 | 41 | zef_ES_update_parameter_values;
zef.ES_opt_solver = zef.h_ES_opt_solver.Value;
zef.ES_opt_method = zef.h_ES_opt_method.Value;
zef.ES_opt_algorithm = lower(zef.ES_opt_algorithm_list{zef.h_ES_opt_algorithm.Value});
zef.ES_obj_fun = zef.h_ES_obj_fun.Value;
zef.ES_o... |
7e6f50939c75d9095e63773bf1d1f838b4f84a8196ba4eacbe5a6e551ebe3ccc | MATLAB | 1,719 | 54 | function S = openETSui2()
% open dataset
%ets = '/Users/defazio/Documents/ciatah/TDciatah/data/_20220210a_04_/stack1/frame_t_0.ets';
%name = '20220210_a_m0_kiss.h5';
% fig = uifigure;
% d = uiprogressdlg( fig, 'Title','reading ETS','Indeterminate', 'on');
% drawnow
[file,path] = uigetfile('*.ets');
... |
3685f03a6408e9a75c373cdc8276c281237bc2915b12b7ac947c4c6912523524 | MATLAB | 1,721 | 57 | function zef = zef_apply_system_settings(zef)
if nargin == 0
zef = evalin('base','zef');
end
zef.ini_cell = readcell([zef.program_path '/profile/zeffiro_interface.ini'],'FileType','text');
for zef_i = 1 : size(zef.ini_cell,1)
if isequal(zef.ini_cell{zef_i,4},'number')
if not(isnumeric(zef.ini_cell{z... |
fa40b81e92b0fa1a5034f8a20d3f143861d93739d9210e39c19a9bf74faa2ecb | MATLAB | 1,723 | 58 | function zef = zef_plot_source_ROI(zef)
%easiest way to get all information, but overkill if we just want to plot a
%sphere
[~,roi_source_pos,s_o,dip_amp,n_multiple_sources,roi_specs_all] = zef_find_source_ROI(zef);
h_axes1 = zef.h_axes1;
hold(h_axes1,'on');
axes(h_axes1)
%using the same handle as regular so... |
471cd41f93ceffbb751e745431ad2e4bd470ee8a4890cc897f9d0e8db7fcc6c4 | MATLAB | 1,725 | 77 | function [p,Dxy] = paired_tanova(X,Y,modality,Nperm)
% Check this is paired data
if size(X,2) ~= size(Y,2)
error('paired_tanova can only be used for paired data')
end
if nargin < 4
Nperm = 5000 ;
end
switch modality
case 'eeg'
X = X-mean(X) ; % re-reference to average
Y = Y-mean(Y) ;
... |
a003c165b92f4cbafb2bfd466891fd9e37c569f926f2d7784c9d714f8cb44841 | MATLAB | 1,726 | 62 | function save_all(app, varargin)
% matlab recommends not to do this because matlab thinks extensibility is
% lame and hardcoding rulez - doing it anyway DAO 04/4/2023
update_log(app, 'Saving... Please Wait');
absolute_params = app.params; % hotfix for relative paths
app.params = convert_paths_to_relative(app.param... |
2e9e21bacd5bc902c2259d1bcb8576cee7b68e66a1828bd401ab913831b19579 | MATLAB | 1,727 | 47 | function [vecMeanX,vecSemX,vecMeanY,vecSemY,vecQuantileAssignment,cellValsX,cellValsY]=getQuantiles(vecX,vecY,intQuantileNum)
%getQuantiles Split X and Y data into equal quantiles of X
% [vecMeanX,vecSemX,vecMeanY,vecSemY,vecQuantileAssignment,cellValsX,cellValsY]=getQuantiles(vecX,vecY,intQuantileNum)
%default nu... |
abad70490ddc9d3ac790f22da2982e60760417beb04f0fad449dc0b929eb2681 | MATLAB | 1,730 | 47 | function [SamePics, SameStim, SameUnit] = FindSamePics(data)
% this function will find data (pics) takn on the same fiber with the same
% stimulus. sometimes one may run a certain stimuli on a fiber and then
% stop, run a different stimuli and come back and run the other stimuli. To
% analyze all that data together, th... |
1e4433c73b42a98b97038ad2bc8686645259efb45eea5d7cc50df8fab478bbbf | MATLAB | 1,734 | 49 |
if isfield(zef,'source_positions_original_field')
if isempty(zef.source_positions_original_field)
zef.source_positions_original_field = zef.source_positions;
zef.source_directions_original_field = zef.source_directions;
zef.L_original_field = zef.L;
zef.source_interpolation_ind_ori... |
d2f355f1d5d530a54819cc9eff429619f423e4791582b0b6bdbf593f987da5a9 | MATLAB | 1,735 | 51 | function dblR = calcVectorOfAssociation(matData,vecY,vecZ)
%calcVectorOfAssociation Measure of correlation for binned grid data
% dblR = calcVectorOfAssociation(matData)
if nargin == 1 && all(size(matData) > 2) %compute grid-based VoA
%get center of mass
vecCoM = calcCenterOfMass(matData);
%calculate ve... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.