sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
c3315e04ce5b824a7d0f5009cccb45ca3b8eef3d7dd84f10817ad151671c4a53 | MATLAB | 1,221 | 47 | function hauk_map = zef_sensitivity_map_dipoleScan( ...
project_struct, ...
n_reconstructions, ...
noise_level, ...
diff_type, ...
dispersion_radius ...
)
arguments
project_struct (1,1) struct
n_reconstructions (1,1) double { mustBeInteger, mustBePositive } = 10
noise... |
131ab31ea8078cb5cc68304245e9f742616b079d482439fcb2394bce43fc181f | MATLAB | 1,223 | 56 | function Ytest = tslda(Ctest,Ctrain,Ytrain,varargin)
if isempty(varargin)
method_mean = 'riemann';
update = 0;
else
method_mean = varargin{1};
update = varargin{2};
end
labels = unique(Ytrain);
Nclass = length(labels);
% Tangent space mapping
C = me... |
505d6bd0b370ce29441cad732d4a3849e5172956812527715fc98b55481aab05 | MATLAB | 1,225 | 40 | %%%% computes the same state probabilities of a population of electrodes
%%%% input "PR_MAT" is a matrix of PR values where rows=> trials and columns => electrodes
function [p_vals] = same_state_probability_dist(PR_MAT)
[t_num, e_num] = size(PR_MAT);
%%% normalize all the Prs between 0 and 1
... |
a948151a84c32e585e3529460f73f04f9c8611e2a36b4316426663905bb5325b | MATLAB | 1,228 | 50 |
%--------------------------------------------------------------------------------
% mdp_init.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_engine... |
d68300a0d84cbb7d833d5929e6f9a57bf746cb2e97ec4fdd7adc990a9b704a5e | MATLAB | 1,229 | 15 | zef_data = zef_github_updater;
zef_assign_data;
zef.h_github_updater.Name = 'ZEFFIRO Interface: GitHub pusher tool';
zef.h_github_message.Value = 'A regular push adding the changes made in the current local repository to the remote origin. Contents of the folders ./data/ and ./profile/ are ignored. The update necessita... |
d86c8efa07bdd072211b1bca008fd53b7245e64c8281b92450a4cc0ea73d5230 | MATLAB | 1,229 | 39 | function zef = zef_nse_interpolate(zef,type)
if ismember(type,zef.nse_field.reconstruction_type_list{1})
for i = 1 : length(zef.compartment_tags)
eval(['zef.' zef.compartment_tags{i} '_sources = 0;'])
end
for i = 1 : length(zef.nse_field.artery_domain_ind)
eval(['zef.' zef.compartment_ta... |
bebe028da73da31d1d75d24f013fea310674febf393b346a85b17d1dfad511f0 | MATLAB | 1,231 | 22 | % Adapted from ncomp_tools -- see below. Free license given on this software:
function mre = maxrelerr(X,Y)
% Return maximum relative error of X with respect to Y
% We must be careful with zero elements of Y...
%************************************************************************%
% ... |
233723367a6f45bcac4f0540886b3d6540b1ec1a4d5bddf656fe97996792e0c4 | MATLAB | 1,232 | 45 | function zef_plot_3D_stem_synthetic_source(varargin)
%A static plot showing the active synthetic sources
arrow_scale = 1;
arrow_type = 1;
arrow_color = 0.5*[1 1 1];
arrow_shape = 10;
arrow_length = 1;
arrow_head_size = 2;
arrow_n_polygons = 100;
if not(isempty(varargin))
arrow_scale = varargin{1};
if length(v... |
3b91a30822200a5b454a971b61d0326eb1c643a7cb46c07e24995bc9bc7bf278 | MATLAB | 1,233 | 80 | function [x,y,z,D] = zef_3by3_solver(a,b,c,d,D)
%
% zef_3by3_solver
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - a
%
% TODO: explanation.
%
% - b
%
% TODO: explanation.
%
% - c
%
% TODO: explanation.
%
% - d
%
% TODO: explanation.
%
% - D
%
% TODO: explanation.
%
% Outputs:
%
% - x
%
% TODO: exp... |
5457f6a85df1f8f30bbf0bca3d54ae36f5cda6787864fe503fbd48a88fee7a81 | MATLAB | 1,233 | 45 | function zef_plot_3D_arrow_synthetic_source(varargin)
%A static plot showing the active synthetic sources
arrow_scale = 1;
arrow_type = 2;
arrow_color = 0.5*[1 1 1];
arrow_shape = 10;
arrow_length = 1;
arrow_head_size = 2;
arrow_n_polygons = 100;
if not(isempty(varargin))
arrow_scale = varargin{1};
if length(... |
a641c2af3be5920ce3412d946567dbdfae13740ae07a9ca4340fe01417745d67 | MATLAB | 1,235 | 21 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_ramus_window(zef)
zef_ramus_app;
set(zef.h_ramus_ias_map_estimation,'Position',[ 0.5764 0.2944 0.15 0.5])
set(zef.h_ramus_ias_map_estimation,'Name','ZEFFIRO Interface: RA... |
7686ed50fd1c3f81ca2a59f85274c56268a648e3a95ff64480cfffd1d62258ba | MATLAB | 1,236 | 52 | function [smoothed_nodes] = zef_smooth_surface(nodes,triangles,smoothing_parameter,n_smoothing)
smoothing_param = smoothing_parameter;
smoothing_steps_surf = n_smoothing;
N = size(nodes,1);
if N > 0
A = sparse(N, N, 0);
for i = 1 : 3
for j = i+1 : 3
A_part = sparse(triangles(:,i),triangl... |
23bbbe37673d0df066de2e1501f022f13d4858f9f02a4fd9dadd4a9aca701b33 | MATLAB | 1,243 | 54 | function [S,assig, gamma1] = getGammaSimilarity (gamma1, gamma2)
% Computes a measure of similarity between two sets of state time courses.
% These can have different number of states, but they must have the same
% number of time points.
% If gamma2 is a cell, then it aggregates the similarity measures across
% elemen... |
7b1d913787e7393e527eb7f07073749220f0edb8c9893d4a789dd9ba137a47a7 | MATLAB | 1,244 | 37 | function matImage = imfilt(matImageIn,matFilt,strPadVal)
%imfilt ND image filtering. Syntax:
% matData = imfilt(matImage,matFilt,strPadVal)
%
% input:
% - matImage; [X by Y] image matrix (can be gpuArray)
% - matFilt: [M by N] filter matrix (can be gpuArray)
% - strPadVal: optional (default: 'symmetric'), padd... |
e63395c17e369d5ebb721b9ffe208f729fb75245a3ea0b988c853085f8b78ade | MATLAB | 1,244 | 38 | function imRotated = imrot(imIn,dblAngle)
%imrot Rotates an image using nearest-neighbour assignment
% imRotated = imrot(imIn,dblAngle)
%
%This function rotates the input image coordinates, assigning new
%nearest-neighbour values to the rotated frame. The output image is the
%same size as the input image. dblA... |
a499ac78f57585e5265f6c0c3ebf89a9da168821daed8bc87391f2f64ccf4ae5 | MATLAB | 1,245 | 44 | function x = L1_optimization(A,sigma,y,gamma,x,maxiter,estimation_type)
%MAP estimate using EM algorithm
%L1 norm minimization problem (LASSO):
%0.5|1/sigma(Lx-y)\|_2^2+0.5*\sum_i [gamma_i |x_i|]
% L : lead field matrix
% sigma: noise variance
% y: measurements
%for gamma->0 we have less sparse solutions...
%Output:... |
8826be3213004403c81ad3b28a2a14cec4ec8714fcab72d38523da9294f1e676 | MATLAB | 1,250 | 53 | function ETP_ROICallback(hObject,eventdata,strLocation)
%get globals
global sETP;
global sFigETP;
%check which slider
dblVal = get(hObject,'Value');
if strcmp(strLocation,'LT')
%start x
intType = 11;
elseif strcmp(strLocation,'RT')
%stop x
intType = 13;
elseif strcmp(strLocation,'LB')
%start y
i... |
4b6f48eb48cfac9d7b211bca88110de20d9cbbf4bd477a800da4b37170f8fbc5 | MATLAB | 1,252 | 33 | for zef_i = 1 : size(zef.parameter_profile,1)
for zef_j = 1 : length(zef.compartment_tags)
if isequal(zef.parameter_profile{zef_i,8},'Segmentation') && isequal(zef.parameter_profile{zef_i,6},'On')
if not(eval(['isfield(zef,' '''' zef.compartment_tags{zef_j} '_' zef.parameter_profile{zef_i,2} ... |
9904952a508f7d3e5fa177012e62b5f75984acc2c43cbd53d9750b169fd28def | MATLAB | 1,253 | 39 | function matGrid = getFillGrid(matGrid,vecRow,vecCol,vecVals)
%getFillGrid Adds values in vecVals to the paired locations [vecRow
%vecCol] in the 2D matrix matGrid
%
% SYNTAX
% matGrid = getFillGrid(matGrid,vecRow,vecCol,vecVals)
%
% INPUT
% matGrid: 2D input matrix
% vecRow: vector that determines in ... |
778c274e3c4fe13368d40f2eed6c092113085b65923c33e543263b2404dfdc63 | MATLAB | 1,254 | 45 | %Copyright © 2021- Sampsa Pursiainen & GPU-ToRRe-3D Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre-3D
function [nodes,tetra,interp_vec] = refine_mesh(nodes,tetra)
tetra_sort = [tetra(:,[1 2]);
tetra(:,[2 3]);
tetra(:,[3 1]);
tetra(:,[1 4]);
tetra(:,[2 4]);
tetra(:,[3 4]);
... |
d0fb2f967461b6c710bc050e3d3a4b93c5562bba713a22512ea3508dd3044267 | MATLAB | 1,254 | 32 | function [Spikes_jumbled] = Jumble_spikes(Spikes,stimDur)
%This function will jumble up spike times to generate noise floors for a
%Systems ID type analysis. This function does it by taking a randomizing
%the ISIs of the measured Spikes. Also look at stimDur, to only jumble
%spikes during driven part of stimulus
%Spi... |
697a0a90cb32c5c2d4820566ba13bebe5b3c2cb8facb98b6f95cc7e002f7120e | MATLAB | 1,256 | 39 | function zef_set_size_change_function(h_window,type,scale_positions,exclude_cell)
if nargin < 2
type = 2;
end
if nargin < 3
scale_positions = 1;
end
if isempty(scale_positions)
scale_positions = 1;
end
if nargin < 4
exclude_cell = 'cell(0)';
end
if isprop(h_window,'AutoResizeChildren')
set(h_wi... |
656de0f72ab308664d519c21883861c15f56eb13bf5203d465ea058aa49bbb48 | MATLAB | 1,257 | 42 | function [P_s_store, m_s_store, G_store] = RTS_smoother_normal2standardized(P_store, z_inverse, A, Q, H, R, standardization_exponent, number_of_frames)
P_s_store = cell(0);
m_s_store = cell(0);
G_store = cell(0);
h = zef_waitbar(0,'Smoothing');
for f_ind = number_of_frames:-1:1
zef_waitbar(1 - f_ind/number_of_frame... |
9c7a52cbf9127c5955f2285e84584f5e3338a7f32b8c4b0ff59bcc1623ed2064 | MATLAB | 1,257 | 37 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if not(isfield(zef,'bf_sampling_frequency'))
zef.bf_sampling_frequency = zef.inv_sampling_frequency;
end
if not(isfield(zef,'bf_low_cut_frequency'))
zef.bf_low_cut_frequency = zef.inv_low_cut... |
c714b8f70abde6ec8f045d4e9577dfa9514bfd9d16f7109e2bf7d29a9deda35b | MATLAB | 1,257 | 36 |
function manualVTA(varargin)
p = inputParser;
pathExists = @(x) exist(x,'dir');
addRequired(p,'patientfolder', pathExists);
parse(p,varargin{:});
leadFolder = fullfile(p.Results.patientfolder,'lead_recon/')
load(fullfile(leadFolder,'all_VTAs.mat'))
fn = fieldnames(all_VTAs);
for k=1... |
cb7fff0704dc06b0d61235d38a3803bf7765350d3f98f370679178ce6f111952 | MATLAB | 1,257 | 31 | function dblOptimPupilT = ETC_FitPupilThreshold(dblPupilT0,matFrame,imPupil,gMatFilt,dblReflT,objSE,vecPrevLoc,boolUseGPU)
%ETC_FitPupilThreshold Calculates optimal pupil threshold for an image given a ground-truth pupil area
% dblOptimPupilT = ETC_FitPupilThreshold(dblPupilT0,matFrame,imPupil,gMatFilt,dblReflT,obj... |
5e7704cb3290e50a73e85734c220712b99409d5ea65d80caf3ed543d9fadb73e | MATLAB | 1,263 | 36 | function [vecRefinedT,vecIntervalError] = SC_refineDiffT(vecReferenceT,vecNoisyHighResT)
%OT_refineT As OT_getStimT, but no text. Refines event times
% [vecRefinedT,vecIntervalError] = SC_refineDiffT(vecReferenceT,vecNoisyHighResT)
%
%vecReferenceT is the default: these times are known to be correct, but inaccurate... |
f72f91cb1fc92f129d046e2fa0ca49b53005df0e30a3dca54760df25245d5a26 | MATLAB | 1,263 | 52 | function [orientations_roi,s_roi] = zef_get_normal_ori(procFile,s_o,varargin)
if nargin<3
s_roi = procFile.s_ind_0;
interp_ind = 1:size(procFile.s_ind_0,1);
else
s_roi = varargin{1};
%only indices that are interpolated
s_roi = intersect(s_roi,procFile.s_ind_0);
if isempty(s_roi)
erro... |
68747bc04df8bd95e1424e785ae1530438f97be24af34dabab3944fc3949ed7e | MATLAB | 1,265 | 34 | % tuto2_FFT_filter_Uninitialize.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 25 May 2012
%
% The function tuto2_FFT_filter_Uninitialize is called when pressing 'stop' in the scenario.
% We compute the mean FFT and plot it.
%
function box_out = tuto2_FFT_filter_Uninitialize(box_in)
... |
df609d0085ae11dcb956419ce05bd77d22ae529bd7f8661493375ef67e26c945 | MATLAB | 1,265 | 36 | function zef_plot_GMModel(varargin)
%Plots a red sphere showing the maximizer of the reconstruction.
%The optional argument is the scale of the radius. This
%function can be either static or dynamical.
[X_0,Y_0,Z_0] = sphere(50);
h_axes = evalin('caller','h_axes_image');
f_ind = evalin('caller','f_ind');
delete(find... |
455688bc419a1c3431cc5bbcbca72d0168fcd8be7fbc13fd57ddafa4ff17e2b7 | MATLAB | 1,266 | 1 | % MLFIT -- Maximum Likelihood Fitting procedure
% MLFIT attempts to find the best fit of a function through a set
% of points by minimizing chi-square.
%
% Usage:
% [paramBest, mse] = mlfit('fn', params0, xvals, yvals, stdev);
%
% where 'fn' is a function defined in an M-file as 'y=fn(x, p)'.
%
% Alternativ... |
3402ca4b87682881219359474435617e176c1bb3e4dc8f58e5b3a09a2ce1173a | MATLAB | 1,270 | 48 | classdef LossDice < dagnn.ElementWise
properties
weights = true;
end
properties (Transient)
average = 0
numAveraged = 0
end
methods
function outputs = forward(obj, inputs, params)
outputs{1} = vl_nnlossDice(inputs{1}, inputs{2}, obj.weights) ;
n = obj.numAveraged ;
m = n + siz... |
bc9a4b211335de33d70ea3a874c81dfffe6f5a96e1916418057e5dca55f900f1 | MATLAB | 1,271 | 40 | function [z,mu,sigma] = nanzscore(x,flag,dim)
%NANZSCORE Standardized z score with nans.
% Z = NANZSCORE(X) returns a centered, scaled version of X, the same size
% as X. For vector input X, Z is the vector of z-scores (X-NANMEAN(X)) ./
% NANSTD(X). For matrix X, z-scores are computed using the mean and
% stand... |
c6949084e2349965adff6f9a25eb025ab662f9792f90ae33b38cc0dd141b2922 | MATLAB | 1,272 | 13 | zef.h_compartment_table.ColumnName(1:zef.compartment_table_size) = {'Index','On','Name','Visible','Surface nodes','Surface triangles','Merge','Invert normal','Activity' };
zef.h_compartment_table.ColumnEditable(1:zef.compartment_table_size) = logical([1 1 1 1 0 0 1 1 1]);
zef.h_compartment_table.ColumnEditable(zef.... |
ede7aea499ad16ad3fa1913d64df6d61662869687319be82e13a998d3f51745b | MATLAB | 1,273 | 46 | function [hmm,fe] = dropstate(hmm,k,X,T)
K = length(hmm.state);
% if isfield(hmm.train,'grouping')
% Q = length(unique(hmm.train.grouping));
% else
% Q = 1;
% end
Q = 1;
no_k = setdiff(1:K,k);
K = K - 1;
hmm.state(k) = [];
hmm.K = K;
hmm.prior.Dir2d_alpha = hmm.prior.Dir2d_alpha(no_k,no_k);
hmm.prior.Dir_al... |
ccd55c08c46f567eae205c6b410aeebc0395ea1286ce8cb9f7a96ac45c17d217 | MATLAB | 1,274 | 54 | %
% A matlab example of sending data to OpenViBE via LabStreamingLayer. You need to have the LSL matlab stuff recursively on Matlab's Path.
%
% At the time of writing this, OpenViBE only supports numeric markers.
%
nChannels = 8;
samplingFreq = 100;
disp('Loading LSL library...');
lib = lsl_loadlib();
% make a new st... |
91f315126b7b9c52c80dc5077703c87b2a621e584408f71b3f24b452147119bb | MATLAB | 1,276 | 41 | function [Y_mult,classlabels] = convertToMultinomial(Y)
% takes data object with mutually exclusive classes and converts to the
% format of multinomial classification. NOTE THAT TEST SET is unchanged
% first check if data_in is a single vector of class labels, in which case
% revert to binary matrix format:
vals = uni... |
b013af0574268fada2cc4faeaaa85c3a528ad9a84c958e64f8871e5f5f17a3ab | MATLAB | 1,277 | 37 | function [nodes] = zef_distance_smoothing(tetra, nodes, distance_vec, smoothing_exponent, smoothing_strength, smoothing_steps_dist)
N = size(nodes,1);
B = sparse(N,N,0);
distance_smoothing = exp(-smoothing_exponent*mean(distance_vec(tetra),2));
for i = 1 : 4
for j = i+1 : 4
B... |
b0da24008a4c2fd684fa978ec9c860414199b838667e5934c801c2bfaf39950b | MATLAB | 1,277 | 21 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_find_synthetic_source_ROI_window(zef)
zef_find_synthetic_source_ROI_app;
set(zef.h_find_synthetic_source_ROI,'Name','ZEFFIRO Interface: Find synthetic source ROI');
set(findobj(zef... |
816314b70fbc7bd5bed31f49e69c65c6638a380a12b1d54fc77337335f6cdb8e | MATLAB | 1,279 | 48 | function [Evec, Ndata] = sq_error_spike_vec(tau, data)
% square error vector for spike windows
% [Evec, Ndata] = sq_error_spike_vec(tau, data)
% ---
% data.a : spike amplitude
% data.b : bias
% data.y : y(k,n)
% data.Dt : Dt(k,n) = t(k,n) - T(k)
% --- double exponential function
% g(t) = ( 1 - ... |
f72c94a81b428f9be372f0e60d3be5f50a022d923bf8b83f358ba97ac32f4876 | MATLAB | 1,279 | 19 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef.exp_em_q = get(zef.h_exp_em_q,'value');
zef.exp_em_hyper_type = get(zef.h_exp_em_hyper_type,'value');
zef.exp_em_beta = str2num(get(zef.h_exp_em_beta,'string'));
zef.exp_em_theta0 = str2num(get(zef... |
646d86f6d80d5db54861e440cdb1db8f3e0dc5409dbb71a13cc46e61c2f8ddc5 | MATLAB | 1,280 | 33 | for zef_i = 1 : size(zef.parameter_profile,1)
for zef_j = 1 : length(zef.compartment_tags)
if isequal(zef.parameter_profile{zef_i,8},'Segmentation') && isequal(zef.parameter_profile{zef_i,6},'On')
% if not(evalin('base',['isfield(zef,' '''' zef.compartment_tags{zef_j} '_' zef.parameter_profil... |
a600703e80549f74578e5c0ec83015c7215ed0d2e33937965fb09ca0596e6797 | MATLAB | 1,280 | 48 | classdef Loss_TVReg < dagnn.ElementWise
properties
weights = 0.05;
end
properties (Transient)
average = 0
numAveraged = 0
end
methods
function outputs = forward(obj, inputs, params)
outputs{1} = vl_nnloss_TVReg(inputs{1}, inputs{2}, obj.weights) ;
n = obj.numAveraged ;
m = ... |
f813fa1f2534e2f0d3d7d85f3388757f9a8dbd4a1899ef6d6e8419fc7ea31352 | MATLAB | 1,280 | 30 | function [best_model_index] = get_best_model(model_collection)
models = numel(model_collection.models);
p_lambda = [];
s_lambda = [];
test_likelihood = [];
valid_likelihood = [];
train_likelihood = [];
for i = 1:models
p... |
98f9a1f9bc542c79003f065363b4df6853efac22c1abd2c58909652022bbd9df | MATLAB | 1,281 | 61 |
tree.all=zef.dataBank.tree;
for iii=1:3
switch iii
case 1
typ='Prob';
case 2
typ='Comp';
case 3
typ='kmeans';
end
dltType='gmm';
onlyIn='node';
allHashes=fieldnames(zef.dataBank.tree);
allHashes=allHashes(startsWith(allHashes, onl... |
2cdfc093f0530c114a89d5e41f624d3276964dcd58b08c20915c103d1f4358f4 | MATLAB | 1,285 | 37 | function out_cell = zef_bst_default_fem_mesh_create(run_type,input_mode,settings_file_name,project_file_name,zef_bst)
if nargin < 4
zef_bst = struct;
end
if isequal(run_type,0)
out_cell = cell(0);
out_cell{1} = [];
out_cell{2} = [];
out_cell{3} = [];
return;
end
zef_bst = utilities.brainstorm2zef.m.zef_bst_get_s... |
5019c7be2a2ab445326ff44b5ffb796cd7a1cb056f8d77227779ef940be3f0fa | MATLAB | 1,286 | 48 | classdef LossSemantic < dagnn.ElementWise
properties
weights = true;
end
properties (Transient)
average = 0
numAveraged = 0
end
methods
function outputs = forward(obj, inputs, params)
outputs{1} = vl_nnlossSemantic(inputs{1}, inputs{2}, obj.weights) ;
n = obj.numAveraged ;
m =... |
0bf56979ae02d30ad99b122cab9463716102cbd3c63e45e43caf1a768cfe8fbd | MATLAB | 1,287 | 40 | function zef = zef_build_compartment_table(zef)
if nargin == 0
zef = evalin('base','zef');
end
zef.aux_field_1 = cell(0);
zef_i = 0;
for zef_j = length(zef.compartment_tags) : -1 : 1
zef_i = zef_i + 1;
zef_init_fields_compartment_table;
zef_n = 0;
for zef_k = 1 : size(zef.parameter_profile,... |
811cb5e50314b654910201dee0cddb3d2564cfca6ffba4c2b6a2bd03f88262a0 | MATLAB | 1,287 | 45 | function [P_s_store, m_s_store, G_store] = sample_RTS_smoother(P_store, D_store, z_inverse, A, number_of_frames, filter_type)
P_s_store = cell(0);
m_s_store = cell(0);
G_store = cell(0);
z_inverse = cell2mat(z_inverse);
if (isdiag(A) && all(diag(A) - 1) < eps)
Q = cov((z_inverse(:,2:number_of_frames)-z_inverse(:,1... |
e597980e427604b98e66c6b3a6d3c43c10cf7308f01ed0f346a16d78217fbf96 | MATLAB | 1,288 | 30 |
zef.aux_data_1 = cell(0);
zef.aux_data_2 = {{'Scaling','scaling'},{'X-shift','x_correction'},{'Y-shift','y_correction'},{'Z-shift','z_correction'},{'Xy-rotation','xy_rotation'},{'Yz-rotation','yz_rotation'},{'Zx-rotation','zx_rotation'},{'Affine transform','affine_transform'}};
zef_i = evalin('base','zef.current_trans... |
25da33d976bbb99e09831892d2ed76d337f463c15deb0e63dbbc6a59fed3df29 | MATLAB | 1,291 | 69 | function y = interleave(dim,varargin)
%INTERLEAVE Interleave data
%---
% function y = interleave(dim,x1,x2,...[,'push'])
%---
% Similar syntax to Matlab function CAT, but interleaves the data.
% The 'push' flag results in having all dimensions more than dim 'pushed'
% rightward.
%
% Example:
% a = reshape(1:6,2,3);... |
ac1df94a221c5012eb74680ad69694b95aa3f6a6f930e12d53269715d7da10ab | MATLAB | 1,291 | 46 | function [tri_ind, lambda_1, lambda_2, lambda_3] = zef_find_intersecting_triangle(p_1, p_2,sign_val,tri_ref,nodes_tri_ref,varargin)
search_type = 'convex';
if not(isempty(varargin))
search_type = varargin{1};
end
tri_ind = [];
lambda_1 = [];
lambda_2 = [];
lambda_3 = [];
vec_1_aux = p_2 - p_1;
ones_vec_tri = on... |
262947be60ce032b8b0f29f06252c97cbdce5232622b2d10659cc7e67cf39c54 | MATLAB | 1,292 | 41 | function [dat]=sw_rectify_csc(dat,av,noise,sd)
% [dat]=sw_rectify_csc(dat,band,av,noise,sd)
% rectify single csc
% uses eeglab eegfilt function!
% inputs: dat = single csc channel as vector
% cFs = samplig rate in Hz, eg >> cFs=1024;
% band = filter band values in Hz, eg >> band=[8 15];
% ... |
beda849ece85f0916807df7424ef1f32592eb5f425b509d4bf03f9432c75a254 | MATLAB | 1,292 | 26 |
%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... |
4091dcae2b3ee6992a8c71d30ed1b3c3b57b4509e01c3bfb2ad9e448497a1c27 | MATLAB | 1,293 | 39 | function ptrWaitbarHandleLocal = UpdateWaitbar(~)
%UpdateWaitbar Updates waitbar for (parfor) loop once per second
% ptrWaitbarHandle = UpdateWaitbar(~)
%
%for a parfor looping over i=1:n, put the following before the loop:
% global intWaitbarTotal;
% intWaitbarTotal = n;
% ptrProgress = parallel.pool.DataQueu... |
63fa8241406f407f58cf7bf4a4f87377f3f5550cac9e4ba37b1158817724589d | MATLAB | 1,294 | 30 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if not(isempty(zef.save_file_path)) & not(zef.save_file_path==0)
[zef.file zef.file_path] = uiputfile('*.mat','Save as...',[zef.filter_save_file_path zef.filter_save_file]);
else
[zef.file zef... |
59f7fc758ebe37912e16d4e46e6ccf4e7dfacdc10d4778f6b6e1f91e90822b66 | MATLAB | 1,298 | 39 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [c_table,c_points] = zef_parcellation_roi_embed(zef)
c_table = cell(0);
c_points = cell(0);
if eval('zef.parcellation_merge')
c_table = eval('zef.parcellation_colortable');
c_points ... |
f5fd5ee6653c830480ad7c5d3cb776e7851230b857992d446ccac1713bf17eac | MATLAB | 1,299 | 45 | % myobj = SetParams( myobj, params_struct )
%
% The inverse of GetParams.m, this sets run parameters.
% Alternatively, you can pass the parameters to StartRun()
% which calls this in turn. Run parameters are a struct of
% name/value pairs. The call will fail with an error if a
% run is currently in ... |
9fc308ced93df7bf686beed14b71f9b3b06bb71bb8870c298636ad2fc8c324ae | MATLAB | 1,300 | 19 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef.exp_ias_q = get(zef.h_exp_ias_q,'value');
zef.exp_ias_hyper_type = get(zef.h_exp_ias_hyper_type,'value');
zef.exp_ias_beta = str2num(get(zef.h_exp_ias_beta,'string'));
zef.exp_ias_theta0 = str2num(... |
c0ecc43c0e4cb0b0d4874755c803d26ce4ee5a8b6065c43bdea35e08aef545c7 | MATLAB | 1,300 | 38 | % tuto3_sinus_generator_Initialize.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 25 May 2012
%
function box_out = tuto3_sinus_generator_Initialize(box_in)
% we display the setting values
disp('Box settings are:')
for i=1:size(box_in.settings,2)
fprintf('\t%s : %s\n',box_... |
d56478e2d20ffa13c1ea96669097a6c732078a130f58dd4734dc5b7bfe5a5822 | MATLAB | 1,300 | 34 | function [X,T] = read_spm_file(spm_file,mat_file)
% Load an (continuous data) SPM file with filename specified in the spm_file
% input parameter, and put the data into X in matrix format ready to be used by
% the HMM. If mat_file is specified, X is saved in the file mat_file
% Importantly, if there are bad time poi... |
deaaba2a4911392cf9c2914a94f30eecbd3fe33bf89871cdac03e8f829b720df | MATLAB | 1,301 | 52 | function pval = permtest_aux_NPC(X,D,Nperm,confounds)
% permutation testing routine, integrating tests through the NPC algorithm
% X: data
% D: design matrix
% Nperm: no. of permutations
% confounds
% grouping: the first grouping(1) rows belong to one group,
% the next grouping(2) rows belong to the second group,
... |
c0d5698e2dd06ad292dff11ee6df726a5f9c951cb1c689a5de94676d5fa52865 | MATLAB | 1,305 | 50 | function [f] = zef_getFilteredData(zef)
%zef_getFilteredData reads the datafrom zef.measurement and applies the
%filter that are specified in zef.inv_low_cut_frequency and
%zef.inv_low_cut_frequency at a sampling frequency of
%zef.inv_sampling_frequency.
% f has the same size as the measurement
if (nargin == 0)
zef = ... |
ec0eb66b86d4d169aabe69e98d9c119445d372f71e787e99021979cfb5aad80d | MATLAB | 1,307 | 48 | function vecLim = normaxes(varargin)
%normaxes Sets the same axis limits for selected subplots
% vecLim = normaxes(hFig,strAxis,vecSubplots)
%
%Note: subplots is given in children IDs, not in subplot numbers
%set defaults
%drawnow;
hFig=gcf;
vecSubplots = 1:numel(hFig.Children);
strAxis = 'y';
cellCheckAx... |
d99bae30875696d8ffed2c7384e85656f9a04dd3d74c031c45f34a4248de15d9 | MATLAB | 1,311 | 48 | function options = make_options(opts_in)
% Initialize options structure
options = struct ;
% Deal with case of no options in
if isempty(opts_in)
return
end
% Deal with structure options
if length(opts_in) == 1 && isstruct(opts_in{1})
opts_in = opts_in{1} ;
... |
b9a2619bfc2f7b6bde64c9b64f0fecc344a4e9542b46c3c1250641d31c7ac2a4 | MATLAB | 1,313 | 35 | function passFail = checkThresholds( signal )
%
% checkThresholds
%
% Check the single channel signal against some simple thresholds to
% determine if it should be removed.
%
% Note, output, passFail (0 = fail, 1 = pass).
%
% Author: Ian Daly, 2012
%
% License:
... |
e267fa839b692824ba90ea4a2b6cc2ea022a095688f6b7c7c86644848ce6012d | MATLAB | 1,313 | 60 | % A = riemann_mean(B,epsilon,tol)
%
% Calcul du barycentre des matrice de covariances.
% A : baricentre des K matrices NxN
%
% B : Matrice NxNxK
% epsilon : Pas de la descente de gradient
% tol : arret de la descente si le crit�re < tol
function [A critere niter] = riemann_diag_mean(B,args)
N_itermax = 10;
if (nargi... |
0e53355605263803a4b6eb3d5ac0cdce35ed9811fb0fd74717d3c902fa3ff48c | MATLAB | 1,316 | 43 | function sEyeFig = ET_populateFigure(handles,boolInit,sFigIn)
%OT_populateFigure Populates global figure structure
%check for initial run
if ~exist('boolInit','var') || isempty(boolInit)
boolInit = true;
end
%which defaults to save
cellDefaults = {'String','Value'};
%populate button pointers
cellFields = ... |
912fcbdb8f39904999f848150ea452e2f75f2694216c18347600af0c18c7b50e | MATLAB | 1,317 | 24 |
zef.reconstructionTool.bankSize=zef.reconstructionTool.bankSize+1;
zef.reconstructionTool.bankInfo(zef.reconstructionTool.bankSize, 1:6)=zef.reconstructionTool.currentInfo;
if iscell(zef.reconstruction)
zef.reconstructionTool.bankReconstruction{zef.reconstructionTool.bankSize,1}.reconstruction=zef.reconstruction... |
d88ba4ebcef973b35b2d4c95e56ea9426a0102d1247ba5ce9703cadc41baab74 | MATLAB | 1,319 | 46 |
load('sleep_deprivation_RT')
mean_value=[];
std_value=[];
sizes=size(mean_RT);
for j=1:sizes(2)
mean_value=[mean_value;mean(mean_RT(:,j))];
std_value=[std_value;std(mean_RT(:,j))];
end
figure
bar([mean_value(1),mean_value(2)],'EdgeColor','w','FaceColor',[207/255,234/255,241/255],'linewidth',... |
a7cc25b6cf43b8ba7e699a3b4fdfc80bf9fc2941837f421b8d9a7a82866259be | MATLAB | 1,320 | 61 | function zef = zef_import_mat_struct(zef,varargin)
mat_struct = [];
extension = [];
if not(isempty(varargin))
if not(isempty(varargin{1}))
[folder_name, file_name_1,file_name_2] = fileparts(varargin{1});
file_name = [file_name_1 file_name_2];
end
if length(varargin) > 1
extension =... |
c25085e877c0da588a39bdc86d8cce3c6823b20f779baded97fa80340fadffcb | MATLAB | 1,321 | 43 | function output = TDnoise2(data,dt,source)
% returns various noise estimates
% output.keys = { "SD", "diffSD", "MLspike_sigmaest", "CaImAn_Sn", "cascade" };
% returns a single value, or a struct containing all estimates
if nargin==1
dt=0.1;
source="all";
end
if nargin==2
source="all";
end
if size(data,1)==1... |
fc08485afaa811a642f6a9cba05799bdde0ec931ee4d63a597fdd0f2866d126b | MATLAB | 1,321 | 37 | function [ wind ] = hann(windowLength)
% --------------------------------------------------------------------------
% COPYRIGHT 2014 BLACK CAT SCIENCE, INC.
% CONTACT INFORMATION: STEM@BLACKCATSCIENCE.COM
% WEBSITE: WWW.BLACKCATSCIENCE.COM
% -----------------------------------------------------------------... |
cc1fd8c3c22516eb2ca3ed787521c2ee1e11b56014369bec295e6afd9ab81778 | MATLAB | 1,329 | 84 | function M = zef_volume_scalar_matrix_DD(nodes, tetra, g_i_ind, g_j_ind, scalar_field, weighting)
%
% zef_volume_scalar_matrix_DD
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - g_i_ind
%
% TODO: explanation.
%
% - g_j_ind
%
% TODO: ... |
2a2668bc2d72e19ebf71ca921e9b576a20007afea4e03511c36a03f3da4a609e | MATLAB | 1,330 | 50 | function [Model] = estimate_nonlinear_model(data, Model, mode, plot_flag)
if nargin<4, plot_flag = 0; end
% compute model prediction
t_model = data.t(1):0.001:data.t(end);
y_model = calc_linear_response(data.spike_time, t_model, Model);
[~,idx] = findClosest(data.t,t_model);
y_model = y_model(idx);
% find index o... |
ef5269efce741a4a75441938f6c2f586a42461baeddb36a0c95050b9188c2bb2 | MATLAB | 1,330 | 59 | % -------------------------------------------------------
%
% f_writeJson - Write ECG data into json files
%
% Ver. 1.0.0
%
% Created: Claudia Nagel (13.10.2022)
% Last modified: Claudia Nagel (13.10.2022)
%
% Institute of Biomedical Engineering
% Karlsruhe Institute of Technology
%
% ... |
3111dfcbd6d9f530e67e36c43959cf47288a903fd0ad0bd02e06a5efbb770781 | MATLAB | 1,333 | 47 | function [data, udf, nil_neurons, nil_frames] = secondary_validation_dataset(data, udf)
%Grab Data Size
[data_samples, num_nodes] = size(data);
% should be samples x features
if data_samples < num_nodes
data = data';
[data_samples, num_nodes] = size(data);
end
assert(d... |
4708bac78d3eb5e321fbde957842ee83ad1d08713c56fb1351c46b3bb2580f86 | MATLAB | 1,333 | 27 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if ismac
zef.h_exp_em_map_estimation = open('exp_em_map_estimation.fig');
elseif ispc
zef.h_exp_em_map_estimation = open('exp_em_map_estimation.fig');
else
zef.h_exp_em_map_estimation = op... |
3f02c0da305784840c08cf6fc0a233b0481d5df3a15a484a87a9fbf4d74df4c7 | MATLAB | 1,334 | 103 | clear all
close all
clc
addpath('./tools/')
% load training data
load('./save_file/all_traj_06282022.mat')
%%
traj_set = ["infty", "circle", "astroid", "fermat", ...
"lissajous", "talbot", "heart", "lorenz", "chua", "rossler", ...
"sprott_1", "sprott_4", "mg17", "mg30", "epitrochoid"];
order = randperm(le... |
e33bdd50ef687b8dab81c815ece4cdce3bb3085a8e5e55146748259e631a890a | MATLAB | 1,335 | 41 | function obj = stats_duration(obj)
% Calculate durations of microstates
% Check inputs
if isempty(obj.time) || isempty(obj.label)
error('To calculation microstate duration, properties time and label are required')
end
if length(obj.time) ~= length(obj.label)
error('microstate.labe... |
eb901ec8bbea77fb819265f185514bbfe8b1d6b0851d222c9f0e8eb9a0cddc08 | MATLAB | 1,335 | 27 | function clipped_nodes_ind = zef_clipping_plane(nodes, clipping_plane, varargin)
clipped = 0;
if length(varargin) > 0
aux_node_ind = varargin{1};
clipped = 1;
end
if length(clipping_plane{4}) == 1
if clipped
clipped_nodes_ind = intersect(aux_node_ind,find(sum(nodes.*repmat([clipping_plane{1} clip... |
2de0e657befe26cc39fc5c98dcf3607e9e618d1e1e0d32db9911669b0d87f4e3 | MATLAB | 1,336 | 24 |
%zef_LeadFieldProcessingTool_TableUpdate_index has to be set
zef_LeadFieldProcessingTool_TableUpdate_index=zef.LeadFieldProcessingTool.bankPosition;
if zef_LeadFieldProcessingTool_TableUpdate_index > size(zef.LeadFieldProcessingTool.app.BankTable.Data,1) %new data
zef.LeadFieldProcessingTool.TableData={'', '', '... |
88bed95f1a8a2c5f5a7c87bdb3d74c3d5e6bf414cd196323d0eb44f9188ff060 | MATLAB | 1,336 | 48 | function [f] = zef_getFilteredDataClassObj(zef,ClassObj)
%zef_getFilteredData reads the datafrom zef.measurement and applies the
%filter that are specified in zef.inv_low_cut_frequency and
%zef.inv_low_cut_frequency at a sampling frequency of
%zef.inv_sampling_frequency.
% f has the same size as the measurement
if (na... |
249250cbea34a9836f9237c81548c42c3a371fc4633a1854d981eb99050bb3a9 | MATLAB | 1,337 | 53 | % estimate the center of the ROI and the theeshold given a set of
% covariances matrices.
function [C th dist art Ci thi] = potato_estimation_adaptive(COV,method_mean,method_distance,window,C)
I = size(COV,3);
if nargin <2
method_mean = 'riemann';
method_distance = 'riemann';
window = I;... |
7db566c72cd17ab8a017227be3f911a88c3c99d125e4370cdef2b2ae232deefa | MATLAB | 1,337 | 27 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if ismac
zef.h_exp_ias_map_estimation = open('exp_ias_map_estimation.fig');
elseif ispc
zef.h_exp_ias_map_estimation = open('exp_ias_map_estimation.fig');
else
zef.h_exp_ias_map_estimation... |
9e1bcb10ec70aa7863669a4be99481bf192dccb40c05d6253ff8e801fdaf3f23 | MATLAB | 1,338 | 17 | %Copyright © 2021- Sampsa Pursiainen & GPU-ToRRe-3D Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre-3D
parameters;
load([torre_dir '/system_data/mesh_' int2str(system_setting_index) '.mat'])
interpolation_radius = 1.15*s_radius;
lattice_resolution = round(4*lattice_oversampling_rate*(signal_highe... |
077ceb8c6beed4f4f9f32397ddcf00adeb0474d7fb2799f0d56af2cf51e3fe4c | MATLAB | 1,339 | 85 | function M = zef_surface_scalar_matrix(nodes, tetra, scalar_field, weighting)
%
% zef_surface_scalar_matrix
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% - weighting
%
% TODO: explanation.
%
... |
12a356a84bf63ffb164016d075e762f9a90d340690a3cc78e9e6efccb7ba39c8 | MATLAB | 1,340 | 47 | % -------------------------------------------------------
%
% f_filterECG.m - This function applies high- and lowpass filters and
% removes isoline offset from ECGs
%
% Ver. 1.0.0
%
% Created: Claudia Nagel (13.10.2022)
% Last modified: Claudia Nagel (13.10.2022)
%
% Institute of Biomed... |
15853cac299d8d919fc97576d20196466281bea120bb5586d4a394778c39f2f0 | MATLAB | 1,340 | 27 | %Script for add synthetic source button of find_synthetic_source_app.
%Display Initial parameters on the list
zef.find_synth_source.h_source_parameters.Data=zef.synth_source_init;
%Define a possible index for banked method name and add it to the list of selected inversion methods
if isfield(zef,'synth_source_data')
... |
269e70b56ad45e8541f9f8cd5ef088680e2b1d38c6d6c523ba7c059b9ecf58f5 | MATLAB | 1,347 | 43 | load('postprandial_somnolence_RT')
mean_RT=[mean(RT_wakefulness),mean(RT_drowsiness)];
std_RT=[std(RT_wakefulness),std(RT_drowsiness)];
figure
hold on
bar(mean_RT,'EdgeColor','w','FaceColor',[190/255,184/255,220/255],'linewidth',3);
hold on
for t=1:77
r=normrnd(0,0.1);
plot([1,2],[RT_wakefuln... |
80ae13f952232515cb74f24e098029bff0c5ce2a48108fbf98ce7cffcb7943b6 | MATLAB | 1,350 | 36 |
%--------------------------------------------------------------------------------
% conditional_expectations.m
%
% This analysis is included in
% Experimental validation of the free-energy principle with in vitro neural networks
% Takuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo, Karl Friston
%
% Copyright (C) 2022 Taku... |
99a10a413546a3bd6186482455e250aaf126ed7500415043915d6c38b5735089 | MATLAB | 1,351 | 29 |
[~, indexOfMinimumTrueElement]=max(cell2mat( zef.reconstructionTool.bankInfo(:,7)));
zef.reconstruction=zef.reconstructionTool.bankReconstruction{indexOfMinimumTrueElement,1}.reconstruction;
zef.reconstructionTool.currentInfo=zef.reconstructionTool.bankInfo(indexOfMinimumTrueElement,1:6);
%set every checkbox to fal... |
cbc35b3553351ffaa6194b60323130b8f44cc7c92d0972ad80fd4ed04bc86683 | MATLAB | 1,353 | 26 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if ismac
zef.h_ias_map_estimation = open('ramus_sampler.fig');
elseif ispc
zef.h_ias_map_estimation = open('ramus_sampler.fig');
else
zef.h_ias_map_estimation = open('ramus_sampler.fig');
... |
0e8a06fc0cd72a944afc5071bcac0dbbde08968999548994b6b8aefc86161efc | MATLAB | 1,358 | 46 | function [vecMeans,vecBinEdges,cellValues] = getQuintiles(vecIn,vecBinEdges,intSegments)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%calc edges (if necessary)
vecIn = vecIn(:);
if nargin < 2 || isempty(vecBinEdges)
if nargin < 3 || isempty(intSegments)
intSegments = ... |
2399313e8f7ab88784203cb676a6c9eae516a4bb3bb399b307ba458649a18540 | MATLAB | 1,363 | 77 | function [x, function_val, flag_val] = zef_cvx_linprog(z,A,b,Aeq,beq,lb,ub,varargin)
%Finds the minimum of z'*x with respect to x and with the constraint A x - b <= 0
%Outputs: x (size: [n x 1]), flag_val (1 if the solution was found -2
%otherwise)
%Arguments: z (size: [n x 1]), A (size: [m x n]), b
%(size: [m x 1])
%... |
1b6ddc353c08295a131e8e9072ef642e7860d0beee224859e3ca778bb7c00cbd | MATLAB | 1,365 | 49 | function output = TDnoise2(data,dt,source)
% returns various noise estimates
% output.keys = { "SD", "diffSD", "MLspike_sigmaest", "CaImAn_Sn", "cascade" };
% returns a single value, or a struct containing all estimates
if any(isnan(data))
disp('NaN!!')
end
if nargin==1
dt=0.1;
source="all";
end
if nargin... |
b6ca2b73d92ec80141d45d1ff13ae6a8312ef43256c0048f6007eef526713756 | MATLAB | 1,367 | 40 | function [M, multigrid_perm_output] = zef_block_diagonal_preconditioner(L, multigrid_dec, multigrid_ind, multigrid_perm,varargin)
if not(isempty(varargin))
reg_param = varargin{1};
end
multigrid_perm_output = cell(0);
n_sources_aux = length(multigrid_perm{1});
n_system_aux = length(multigrid_perm{2});
n_system ... |
c169af9e273ad618fac22322a5876eb7fc544fbb6fcb5c52f4258599641640f4 | MATLAB | 1,367 | 46 | function [zef] = zef_dataBank_hash2tree(zef)
if nargin == 0
zef = evalin('base','zef')
end
%this builds a uiTree in the databank.app from the databank.tree node
%hashcodes
%zef.dataBank.tree=zef_dataBank_reorderTree(zef.dataBank.tree);
%zef.dataBank.tree=zef_dataBank_sortTree(zef.dataBank.tree);
% if strcmp(zef... |
dc91c09e525798774e799669ff350d1b21930530f1ccd87502e2bbd5fe59d18a | MATLAB | 1,368 | 51 | numObj = 4;
numObjRepPerRun = numObj;
objNums = repmat((1:numObj)',[numObjRepPerRun,1]);
numParLoop = 24;
minVals = zeros(numParLoop,1);
minOrders = zeros(numObjRepPerRun*numObj+1,numParLoop);
maxI = 1000; %
parfor np = 1:numParLoop
minVal = 10^10;
minOrder = zeros(numObjRepPerRun*numObj+1,1);
aa = zeros... |
630aa490cc6f15b6a7ff0df1c89a746acb3adb25f0f5020b205889fed32eb08e | MATLAB | 1,369 | 27 | function strip_struct = zef_create_strip(strip_struct)
strip_struct = zef_get_strip_parameters(strip_struct);
[triangles{1}, points{1}] = zef_simple_cylinder_generator(strip_struct.strip_radius,strip_struct.strip_n_sectors,strip_struct.strip_length);
[triangles{2}, points{2}] = zef_simple_cylinder_generator(strip_stru... |
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