sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
f410e51fda825e00ff995664fe488eab48f8f60da311c6aa5e4649a93debfec0 | MATLAB | 1,089 | 41 | function [neighbours,neighboursp] = SESAMEneighbours(V)
radius = 1.5 * ((max(V(:,1))-min(V(:,1))) * (max(V(:,2))-min(V(:,2))) * (max(V(:,3))-min(V(:,3)))/ size(V,1) ) ^(1/3) ;
neighbours = compute_neighbours(V, radius);
neighboursp = compute_neigh_prob(V, neighbours, radius);
end
function [ NProb] = compute_neigh_pro... |
83f8bac317e57a59ba600533c450f5c58bb8b5e77eed73920d914e9e5e99bdaa | MATLAB | 1,092 | 47 | function [C,I] = findmax(A,maxnum)
%findmax Finds the highest n values from a vector
% syntax: [C,I] = findmax(A,maxnum)
% input:
% - A: data vector
% - maxnum: number of maximum values to be returned
% output:
% - C: Vector containing highest values
% - I: Vector containing indices of highest values
%
% Note: findma... |
1c73f24c1923650160ca185cb6791c207fd74653809d8fede100f99a50494882 | MATLAB | 1,093 | 27 | function S = getROIvalues( image, h )
% return values for ROIs, deadzones, and penumbra
% h contains handles for ROI polygons, more crucially the masks!!!
% image is the image
% S contains a value for the mean of ROI, pen and pensub
nROIs = size( h, 2 ); % number of ROIs
for j = 1 : nROIs % loop over each ROI, ... |
f65a87ba00c0c360c17ba2cfc3c172b40868e75ca1ce55cec2647d4134296174 | MATLAB | 1,093 | 35 | function zef_close_all(zef)
if nargin == 0
if evalin('base','exist(''zef'',''var'')')
zef = evalin('base','zef');
end
end
zef.h_window_aux = findall(groot,'-regexp','Name','ZEFFIRO Interface*');
%zef.h_window_aux = findall(groot,'-property','ZefTool','-or','-property','ZefFig');
set(zef.h_window_aux,... |
2754613de4f57d86efa2e7e14bed8feb153e06183ec69721f5e14cea4b780dad | MATLAB | 1,095 | 15 | function [colormap_vec] = zef_contrast_1_colormap(colortune_param, colormap_size)
c_aux_1 = floor(colortune_param*colormap_size/3);
c_aux_2 = floor(colormap_size - colortune_param*colormap_size/3);
colormap_vec = [([20*(colormap_size/3)*[c_aux_1:-1:1]/c_aux_1 zeros(1,colormap_size-c_aux_1)]); ([15*(colormap_size/3)*[1... |
28f246feaf1caaa3024b84bcfc01a7c08560d3e3c5bc213fb7fd52e0e3e22c89 | MATLAB | 1,098 | 35 | function patch_data = zef_set_surface_resolution(zef,patch_data,surface_resolution)
if not(isempty(patch_data.vertices))
mesh_res = eval('zef.mesh_resolution');
area_val = sum(sqrt(sum(cross(patch_data.vertices(patch_data.faces(:,2),:)'-patch_data.vertices(patch_data.faces(:,1),:)', patch_data.vertices(patc... |
129e6cd70a0b9b2a1064b630c073704c8e60c703afb7f9bba83cfbbecd1b64a9 | MATLAB | 1,100 | 44 |
%--------------------------------------------------------------------------------
% mdp_risk.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... |
40de7ebbbd6299bea36bda4d06a413a7d072835a45ea97d6de00d50ae196f2c5 | MATLAB | 1,100 | 28 | function [dip, p_value, xlow,xup]=HartigansDipSignifTest(xpdf,nboot)
% function [dip,p_value,xlow,xup]=HartigansDipSignifTest(xpdf,nboot)
%
% calculates Hartigan's DIP statistic and its significance for the empirical p.d.f XPDF (vector of sample values)
% This routine calls the matlab routine 'HartigansDipTest' th... |
6db290c2e627761c7789d91886d19989148392907634fc4801e55fe20b43c624 | MATLAB | 1,101 | 48 | function zef_update_signal_parameters_table(zef, signalStruct)
if isempty(signalStruct) || ...
(isstruct(signalStruct) && isempty(fieldnames(signalStruct)))
zef.h_source_tree.SignalParameters.Data = {};
return;
end
rows = signalstruct_to_rows(signalStruct);
zef.h_source_tree.Sig... |
c132dd9b6a83014543bc60dde7b0b040cd26d022c5803f1ee934271f84061a8c | MATLAB | 1,102 | 31 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_topography(zef)
if nargin == 0
zef = evalin('base','zef');
end
zef_topography_app;
set(zef.h_topography,'Name','ZEFFIRO Interface: Topography tool');
set(findobj(zef.h_topography.... |
cb3198f87a30075b47ef362361c350822c31b5ed0f6a4aa481bf6b80357e8564 | MATLAB | 1,104 | 30 | function [L, source_positions,source_directions] = zef_lead_field_filter(L,source_positions,source_directions,filter_quantile,varargin)
amp_vec = sqrt(sum(L.^2));
filter_ind = find(amp_vec > quantile(amp_vec,filter_quantile));
source_ind = [1:size(source_positions,1)]';
if isequal(size(L,2),3*size(source_positions,1... |
163034200095599f9aa5fc79cb6dcd077bc2dc19c08e6a16aff8910be5ee8d20 | MATLAB | 1,105 | 34 | function uiunlock(handles)
%uiunlock Shared Core GUI unlocker
% uiunlock(handles)
%Enable,'off'
%{
cellNames = fieldnames(handles);
for intPtr=1:numel(cellNames)
if ~isempty(strfind(cellNames{intPtr},'ptrButton')) ||...
~isempty(strfind(cellNames{intPtr},'ptrList')) ||...
~isempty(strfind(cellNames{in... |
a95885f24664c6c62af0a1993d61542d8d9e4b989bc6473e4a233febef0098d1 | MATLAB | 1,105 | 33 | function [dblR2,dblSS_tot,dblSS_res,dblT,dblP,dblR2_adjusted,dblR2_SE] = getR2(vecY,vecFitY,intK)
%getR2 Calculates R-squared
% [dblR2,dblSS_tot,dblSS_res,dblT,dblP,dblR2_adjusted,dblR2_SE] = getR2(vecY,vecFitY,intK)
%
%intK is number of regressors
%for SE: https://stats.stackexchange.com/questions/175026/form... |
7dfd58a0755dbfd1d668c6e1e054366cae867db49a3b0869928c973beabc8d0c | MATLAB | 1,107 | 74 | function M = zef_volume_scalar_diagonal_matrix(nodes, tetra, scalar_field, weighting)
%
% zef_volume_scalar_diagonal_matrix
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% - weighting
%
% TODO:... |
a3053a14d142dda2fd4676cf706b6567e7d322ed07ab6d570654de3da6387a8d | MATLAB | 1,110 | 41 | %zef.L=zef.L/max(max(abs(zef.L)));
if ~strcmp(zef.dataBank.app.Entrytype.Value, 'reconstruction')
error('wrong type');
else
datetime
for mmm=[3,1,2]
for psnr=([-50 -40-30 -20 -10 -5 0 5 10 15 20 30 40 50 6070 80 90])
zef.inv_prior_over_measurement_db=psnr;
for snr=-40:1... |
6e1dea4aff9e9e4beaead5e85536aa6bd1dacd79ab33d5a49d60b6c0facafb2d | MATLAB | 1,111 | 49 | function [alpha, epsilon] = zef_ES_find_parameters(varargin)
switch nargin
case {0,1,2}
if nargin == 0
zef = evalin('base','zef');
warning('ZI: no input argument.')
else
zef = varargin{1};
end
alpha = zef.ES_alpha;
alpha_max = zef.ES_alpha_max;
epsilon_min = zef.ES_epsilon_min;
epsilon = zef.ES_epsil... |
2608f8c83e9dd0a72ff8211ee63988be04a532a0d1d70abdec50bce9d7f9f9e3 | MATLAB | 1,113 | 34 | function [alpha_psi, epsilon_psi] = zef_ES_centralize_recursive_search(alpha, epsilon, sr, sc, original_window, s_alpha, s_epsilon, varargin)
if ismember(varargin{1}, 1)
non_floating_flag = varargin{1};
else
non_floating_flag = 1;
end
B_alpha = sqrt(( max(alpha)/min(alpha) )*s_alpha);
B_epsilon = sqrt(( max(e... |
84875ff74dde87f42184126997a841dab7800aadf0b0de213b0c2ea83bf9dfe2 | MATLAB | 1,113 | 29 | function obj = cluster_globalmaps2individual(obj,makeIndividualMaps,keep_polarity)
% Align global maps to each individual
if nargin < 3 || isempty(keep_polarity)
keep_polarity = false ;
end
if nargin<2 || isempty(makeIndividualMaps)
makeIndividualMaps = false ;
end
validateattributes(makeIndividu... |
6c7117c14c3d2dfae2475f28a86a18306af01392c77d1023162faf37c90a18b5 | MATLAB | 1,115 | 36 | function [processed_data] = zef_simple_ica_cleaning(f, ica_reference_channels)
%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 arguments can be controlled v... |
f2f82d378a22b190c70803730c9191dbd7b3aacaef615811af14b9dd4eb66b3a | MATLAB | 1,115 | 35 | function obj = stats_occurrence(obj)
% Calculate number of occurrences of a microstate per second
% Check inputs
if isempty(obj.time) || isempty(obj.label)
error('To calculation microstate occurrence, properties time and label are required')
end
if length(obj.time) ~= length(obj.label)
... |
a6bcff0d524bbde6c5f5821a5d434ffa8ab3200565a6a190e10e80ab9a75a9e8 | MATLAB | 1,116 | 34 | function [alpha_psi, epsilon_psi] = zef_ES_centralize_recursive_search(alpha, epsilon, sr, sc, original_window, s_alpha, s_epsilon, varargin)
if ismember(varargin{1}, 1)
non_floating_flag = varargin{1};
else
non_floating_flag = 1;
end
B_alpha = sqrt(( max(alpha)/min(alpha) )*s_alpha);
B_epsilon = sqrt(( max... |
b7e528cc3792fb6e2ea393b02bf4ef31204b493f3e0bda9bab7ad074aa649cd8 | MATLAB | 1,116 | 52 | function [Model] = train_shape_step(data, tau, tau_id, tau_list)
% training shape parameter using training data
% data.y(n,:) : y(n,t)
% data.Dt{n} : spike onset time of n-th window [sec]
% relative time when window onset time is t=0
% data.dt = sampling step [sec]
Ntau = length(tau);
Nlis... |
5bf958cd855336d16c67272d2692a1db6034da2ca12eb10eae6aeb017acda428 | MATLAB | 1,117 | 39 | % estimate the center of the ROI and the theeshold given a set of
% covariances matrices.
% [C th dist] = potato_estimation(COV,method_mean,method_th,method_distance,args)
% Inputs :
% * COV : a set of covariance matrices
% * method_mean : method for center of ROI estimation. 'riemann',
% 'logeucli... |
cf88817e75f527c45f4438a53426630ca04d74fdca37bc022a827a1f48c60de7 | MATLAB | 1,117 | 37 | function [file, file_path, mesh_type] = zef_import_surface_mesh_type
file = 0;
file_path = 0;
mesh_type = -1;
selection_cell = {'stl','points','triangles'};
d = dialog('Position',[300 300 350 150],'Name','Select One','Resize','on');
txt = uicontrol('Parent',d,...
'Style','text',...
'Position',[72 90 210 40],... |
15df76e40e9914b073373f130221cf314ccd26128c2f2e4fd24eb3026de9aed4 | MATLAB | 1,118 | 25 | function [Y_orth,Y_partialled] = decorrelateDesignMatrix(Y)
% Given a design matrix Y, this method decorrelates regressors using
% symmetric orthogonalisation. This approach finds the timecourse Y_orth
% with zero correlation between columns that minimises (Y-Y_orth)^2.
% This approach is best used when wanting to int... |
1dc6f4d171a085536444812d96d60a71cd0790bd91b87c1cd9f47acd8ab45381 | MATLAB | 1,119 | 22 | function [IMAGE,LABEL] = fun_generate_mMNIST(numTrain)
%% load image
%=========================================================================
array_num_train = [numTrain numTrain numTrain];
IMAGE = cell(length(array_num_train),3);
LABEL = cell(length(array_num_train),3);
%% Type 1 : shape
max_Amp = 0.0;pos_n... |
fb69466d2fba518ae52e729e611b52776a6a5c8f3b2c36d03c0227b221be41c2 | MATLAB | 1,120 | 46 | function [folder_list] = zef_add_path(import_path,varargin)
folder_list_aux = [];
subfolder_status = 0;
d = dir(import_path);
folder_list = cell(0);
if not(isempty(varargin))
if isequal(varargin{1},1) || isequal(varargin{1},'recursive')
subfolder_status = 1;
end
if length(varargin) > 1
fol... |
3b4a767e8da20a4c74153196e611b3ea287c92e10e35eb6c8b9d65bb20b35c67 | MATLAB | 1,124 | 29 | function Entr = GammaEntropy(Gamma,Xi,T,order)
% Entropy of the state time courses
Entr = 0; K = size(Gamma,2);
for tr = 1:length(T)
t = sum(T(1:tr-1)) - (tr-1)*order + 1;
Gamma_nz = Gamma(t,:);
Gamma_nz(Gamma_nz==0) = realmin;
if any(isinf(log(Gamma_nz(:)))), Gamma_nz(Gamma_nz==0) = eps; end
Entr ... |
5f4d811be9c7a4295b0f44dbcb9fd44565097b4eb44b0a4a35a1cc25b4baa61f | MATLAB | 1,124 | 17 | %-----------------------------------------------------------------------
% Job saved on 31-May-2021 14:48:01 by cfg_util (rev $Rev: 7345 $)
% spm SPM - SPM12 (7771)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
matlabbatch{1}.spm.util.imcalc.input = {
... |
d06e1ffc594ef59571aa94960500d032ec686a9d1bdaecc97ae7734371745737 | MATLAB | 1,125 | 35 | function cfArray = ERBSpace(lowFreq, highFreq, N)
% function cfArray = ERBSpace(lowFreq, highFreq, N)
% This function computes an array of N frequencies uniformly spaced between
% highFreq and lowFreq on an ERB scale. N is set to 100 if not specified.
%
% See also linspace, logspace, MakeERBCoeffs, MakeERBFilters.
%
%... |
f8d02ef827b93b23bdf0388292b4639826b347c1709d584aae911e98ea76e4ca | MATLAB | 1,125 | 35 | function [im,imBackground,vecAdjustLim,intSurroundSize] = doEnhanceContrast(im,intSurroundSize,vecAdjustLim)
%doEnhanceContrast Enhance contrast of image
% [im,imBackground,vecAdjustLim,intSurroundSize] = doEnhanceContrast(im,[intSurroundSize/imBackground],vecAdjustLim)
%normalize range
if max(im(:))>1 || min(i... |
9a3c78cfbad90c6ff294fbcb2b833b3009afed580f6136e8538ead2962de8789 | MATLAB | 1,126 | 33 | function [MSO] = Coincidence_detect(spkL, spkR, maxISI)
%spkL and spkR are trials of spikes in NEL format (2 columns, first has
%trial # and second has spike times
%maxISI = max interspike interval for conincidence detection (in seconds)
%MSO = output of coincidence detector (MSO simulation) in NEL format
%This 'if' ... |
b58d48f9face7133e1befcb61dc88edce36c2016eb1b3f296a94f228c48ea211 | MATLAB | 1,126 | 56 | function to_out = copy_fields ( from, to, kwargs )
%
% copy_fields ( from, to )
%
% Copies the fields from one struct to another.
%
% Inputs:
%
% - from
%
% The scruct fron which the fields will be copied.
%
% - to
%
% The struct that the fields will be copied to.
%
% - kwargs.error_on_overwrite = false
%
% If th... |
b0b166aeb6f77d8f518fe446b1c4e4e9f365be917f7bc323d3178b6e0ccabb1a | MATLAB | 1,128 | 47 | % res = Par2( myobj, op, filename )
%
% Create, Verify, or Repair Par2 redundancy files for
% 'filename'. Arguments:
%
% op: a string that is either 'c', 'v', or 'r' for create,
% verify or repair respectively.
%
% filename: the .par2 or .bin file to which 'op' is appled.
%
% Progress is reporte... |
1d4c575e2bc4a1a978b494c2788b199be1ac9edbcae7b2b1f305a7a61fa2bd3b | MATLAB | 1,129 | 24 | function add_header_and_save3D(flatten_voxels, reference_nii,save_path)
output_3D = reshape(flatten_voxels, size(reference_nii.img));
output_3D = make_nii(output_3D);
output_headers = output_3D;
output_headers.hdr.dime.pixdim = reference_nii.hdr.dime.pixdim;
output_headers.hdr.dime.scl_slope = ref... |
97c7dc8446b599e1e4ae6e30ed8052dd9f5650ea56252339a7703471f50f2c21 | MATLAB | 1,130 | 45 | % myobj = StartRun( myobj )
% myobj = StartRun( myobj, params )
% myobj = StartRun( myobj, runName )
%
% Start data acquisition run. Optional second argument (params)
% is a struct of name/value pairs as returned from GetParams.m.
% Alternatively, the second argument can be a string (runName).
% Last-us... |
4268086beb49c64f20f6c7c9eeee0fa6fdfc112157e94bb434e4599479d879fc | MATLAB | 1,131 | 36 | function [X, unique] = sylvester_nochecks(A, B, C)
% Solve Sylvester equation without input checks.
%
% function [X, notunique] = sylvester_nochecks(A, B, C)
%
% Solves the Sylvester equation A*X + X*B = C, where A is an m-by-m matrix,
% B is an n-by-n matrix, and X and C are two m-by-n matrices. The returned
% flag 'u... |
467e7dca33b8a6b1ed3bd67cf518c0f1d2e1f58714e2dd67e5b47f928aeb75a5 | MATLAB | 1,131 | 36 | function tetra_ind = zef_get_tetra_to_refine(domain_ind, thresh_val, k_param, nodes, tetra, domain_labels, reuna_p,reuna_t)
tetra_ind = [];
I_aux = find(sum(ismember(domain_labels,domain_ind),2));
tetra = tetra(I_aux,:);
domain_labels = domain_labels(I_aux);
for i = 1 : length(domain_ind)
u_t_ind = unique(reuna_... |
d72c5ccb79e7cfa1accb948f2405ae9afe83a3f0778d204538753250b9157d64 | MATLAB | 1,132 | 45 | function varargout = export_fig(varargin)
%wrapper for export_fig
cellExportFigs= which(mfilename,'-all');
strThisFile = mfilename('fullpath');
indOtherFiles = ~contains(cellExportFigs,strThisFile);
if any(indOtherFiles)
%invoke other function
strTarget = cellExportFigs{find(indOtherFiles,1)};
strPath=filepa... |
742005ea865dc0209bca9a66aa2482f0011df2306206d4034f5aac9bfce8501c | MATLAB | 1,134 | 16 | %Copyright © 2018, Sampsa Pursiainen
zef.h_find_synthetic_gravity_data = open('find_synthetic_gravity_data.fig');
zef_init_find_synthetic_gravity_data;
uistack(flipud([zef.h_inv_roi_sphere_1; zef.h_inv_roi_sphere_2;
zef.h_inv_roi_sphere_3; zef.h_inv_roi_sphere_4; zef.h_inv_roi_perturbation;
zef.h_inv_compute_... |
97b5c9f820815fd09e8c11a7d159f0f65698636c6d049f0cc36595258a99a8fa | MATLAB | 1,134 | 41 | % [daqData,headCt] = FetchLatest( myObj, streamID, scan_ct, channel_subset, downsample_ratio )
%
% Get MxN matrix of the most recent stream data.
% M = scan_ct = max samples to fetch.
% N = channel count...
% If channel_subset is not specified, N = current
% SpikeGLX save-channel subset.
%
%... |
97929d506e5ffed842cccc293a0bf800c6849ddc49fc2729fd721bf0529b8e3d | MATLAB | 1,142 | 45 | classdef BCFWObjective < handle
% BCFWObjective Interface for block-coordinate Frank Wolfe problems.
% Thread-safe
properties
M, xwavg
end
methods (Abstract)
step_size = line_search(th, dir, max_step);
step_size_m = line_search_block(th, m, dir, m... |
8b13c5793d8d2fdcc968cbcd7f7491ed7e0a7b61a86fcc0fec015fe25c737bb9 | MATLAB | 1,144 | 26 | % To Run the File your current directory has to be the RunFile Directory as all the paths are defined relative to it
clc
clear
close all
%% Load the Data
% Enter the path to your data
DataPath = '../SampleData/';
addpath('../QuickNAT_Networks');
% FileName
FileName = 'SampleData.mgz'; % This is a sample Data from OASI... |
17b66fef9423897fa91ddced81872ce3d2fa1c41aacd7d8101fff523f52322cd | MATLAB | 1,145 | 37 | function status = checkGamma(Gamma,T,train,subj)
% Check that the state time courses are well-defined (no NaNs)
% and that the HMM inference wasn't trapped in a trivial local minima
if nargin<4, subj = 0; end
if any(isnan(sum(Gamma,2)))
t = find(isnan(sum(Gamma,2)),1);
if train.order>0
d = train.order... |
ee51d577ea3a1228ff166f076f9d9835c8e52ed09fed7a36e8d31b3d3da50ccc | MATLAB | 1,147 | 35 | function [Release] = toolbox_chk
% Requires 3 matlab toolboxes (Released later than 2017) :
% Deep Learning Toolbox
warning('on')
matlab_version=ver;
toolbox_names={matlab_version(:).Name};
toolbox_Release={matlab_version(:).Release};
Index_matlab = find(strcmp(toolbox_names,'MATLAB'));
if ~isempty(Index_... |
45842b4d3270b1788520e69761902725ef81592e6f96c08493d7dfeea122280d | MATLAB | 1,149 | 42 | function [newtree] = zef_dataBank_rebuildTree(tree)
%nargin==1 means a normal tree that was not saved to disk. The other files
%are needed to give a new savefile and an ordered hashList
hashes=fieldnames(tree);
newtree=struct;
% list=cell(length(hashes));
if ~isempty(hashes)
newtree.(zef_dataBank_number2hash(1)... |
7789eceb52141cd5e3d003df0b7cd81eb402ececc077adf274ba85c43ebc8d46 | MATLAB | 1,149 | 32 | function [params] = learn_neighborhoods(params)
%grab necessary parameters & pre-allocate
x_train = params.x_train;
neighborhoods=params.neighborhoods;
options = params.glm_options;
node_count = params.num_neurons + params.num_udf;
glm_array=cell(node_count,1);
wb = CmdLineProgressBar('Learning Neighborhoods');
for... |
c2c684f773a68c4a4dfeaaca99e75aebf77a2b86f07117069b0e87fe759fe795 | MATLAB | 1,149 | 32 | function h = moveROIs( dx, dy, h, axe )
% dx, dy is movement in pixels
% h contains the ROI handles
% axe is the image axes handle
msize = 1;
lsize = 1;
nROIs = size(h,2);
for i = 1:nROIs
h(i).ROI = h(i).ROI + [ dx, dy ]; %h(i).handles.ROI.Position; % roi;
h(i).deadzone = h(i).deadzon... |
b6074bbcfd3426dab0b4d39219515ee76d32779e475064e274051d05d0a6f7d8 | MATLAB | 1,150 | 48 | function [pos, label] = getElectrodePositions(data, OptionalNameforElectrodeFile, OptionalNameForLabelFile, OptionalSaveToFile0or1)
if nargin==3
OptionalSaveToFile0or1=1;
end
if nargin==2
OptionalNameForLabelFile='./electrodesLabel.dat';
OptionalSaveToFile0or1=1;
end
if nargin==1
OptionalSaveToFile... |
269f96422537d8236a9b32ce1fc41fc703175b7633f7fb4b086a91fe8efae3f8 | MATLAB | 1,152 | 21 | zef_data = zeffiro_interface_create_dipolar_pair;
zef.h_create_dipolar_pair = zef_data.UIFigure;
zef.h_create_dipolar_pair_add = zef_data.h_create_dipolar_pair_add;
zef.h_create_dipolar_pair_table = zef_data.h_create_dipolar_pair_table;
zef.h_create_dipolar_pair_plot = zef_data.h_create_dipolar_pair_plot;
set(zef.h_cr... |
6154fff9982691ac00d9e3c3cee7ded856757ae68dbe6d82d8a8b90935c61359 | MATLAB | 1,154 | 73 | function M = zef_volume_scalar_matrix_Kx(nodes, tetra, h, x, u_field, volume, b_coord)
%
% zef_volume_scalar_matrix_Kx
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - h
%
% TODO: documentation.
%
% - x
%
% TODO: documentation.
%
% - ... |
f68aaef000a170df83bc63feaf7364ce5e8a7757694c707b14c0335f003e6859 | MATLAB | 1,154 | 49 | function nse_field = zef_smooth_nse_field(nse_field, n_smoothing, s_mode)
if nargin < 3
s_mode = 1;
end
if s_mode == 1
M = zef_averaging_matrix(nse_field.nodes,nse_field.tetra,nse_field.i_node_ind);
for i = 1 : n_smoothing
nse_field.u_1_field = M*nse_field.u_1_field;
nse_field.u_2_fi... |
5b83bd1109ece03d0775a193cf85b16df3988ecd1d8ef878cee9f5960d90216f | MATLAB | 1,155 | 42 | function [Xe,valid] = embedx (X,lags)
%
% Embeds a [samples x channels] array X using a vector of time lags
% resulting in a [samples x (channels x lags)] array Xe. The embedded array
% Xe is structured as:
%
% Xe = [channel 1, lag 1
% channel 1, lag 2
% channel 1, lag ...
% channel 1, lag... |
f61c58a276e2359694842292691a0359c1ffb01f570dad95a09eb1ad031f067a | MATLAB | 1,156 | 47 | function X = simgauss(T,hmm,Gamma)
if iscell(T)
if size(T,1)==1, T = T'; end
T = cell2mat(T);
end
T = sum(T);
if nargin < 3
Gamma = ones(sum(T),1);
end
ndim = size(hmm.state(1).W.Mu_W,2);
if ndim==0, ndim = size(hmm.state(1).Omega.Gam_rate,1); end
K = size(Gamma,2);
X = zeros(T,ndim);
mu = zeros(T,ndim)... |
3fddcf5fd800bb51366f1351f19c55e1c06836c7cc7eed2ad3275d2361afa4be | MATLAB | 1,158 | 41 | function [D] = gauss_kl (mu_q,mu_p,sigma_q,sigma_p)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% [D] = gauss_kl (mu_q,mu_p,sigma_q,sigma_p
%
% computes the divergence
% /
% D(q||p) = | q(x)*log(q(x)/p(x)) dx
% /
% between two k-dimensional Gaussian probability
%... |
5172c633f5456995cb56a539a6c9a290aab230a620a58c2f0681ecd0d26bb0bc | MATLAB | 1,158 | 35 | function [likelihood] = optimization_wrapped_estimator(...
s_lambda, p_lambda, params)
[coefficients] = learn_structures(params, s_lambda);
learned_structure = process_structure(coefficients,...
params.density, params.absolute, params.mode, params.neighborhoods);
model.s_lambda = s_lambda;
model.p_lambda = p... |
958256580248597de33bea343d0123176cb82ad9666f9f00bc8ee41aca6887c9 | MATLAB | 1,158 | 35 |
function dcor = distcorr(x,y)
% This function calculates the distance correlation between x and y.
% Reference: http://en.wikipedia.org/wiki/Distance_correlation
% Date: 18 Jan, 2013
% Author: Shen Liu (shen.liu@hotmail.com.au)
% Check if the sizes of the inputs match
if size(x,1) ~= size(y,1);
error('Inputs m... |
2a0bb3b7648b330009d6315873b201b5e204fffbc4014eabccbc97118188d4ff | MATLAB | 1,159 | 46 | function [data] = generate_ca_response(parm)
% generate spike train
spike_train = generate_poisson_spike(parm);
duration = max(spike_train) + 2./parm.fs_spike;
t_raw = 1/parm.fs_raw:1/parm.fs_raw:duration;
t = 1/parm.fs:1/parm.fs:duration;
[~,idxList] = findClosest(t,t_raw);
% elementary Ca transient
model.tau = [pa... |
96bdda12e51b17e617cd1dc644dfacad2803d7db76d663ad9c22651cd5987b41 | MATLAB | 1,160 | 29 | % compare white noise oscor to filtere noise oscor
clear
Data_path = '/media/ravinderjit/Data_Drive/Data/BehaviorData/IACbehavior/';
oscor_white = load('/media/ravinderjit/Data_Drive/Data/BehaviorData/IACbehavior/OSCOR_white/S211_whitenoise_OSCORfmThresh.mat');
oscor_filt = load('/media/ravinderjit/Data_Drive/Data/Beha... |
b54e3c9395a315c9978c733781b5cf3f75cb2ed1aa3edb70d864d30e1116daba | MATLAB | 1,162 | 38 | function nowVisited = runDfs(A,N,node, visited)
%
% Run a depth first search on the network A from the given node.
% This is performed recursively, and works ok on my machine up to size N = 250 -
% I suspect it will need to be rewritten iteratively for larger network sizes.
%
% Inputs
% - A - connectivity matrix (can ... |
509ee1952e8a4f508f80614f28bf5e77f694e0cfee669c67162b44b5857f1522 | MATLAB | 1,163 | 48 | function [current_score_nnz, y] = zef_ES_rwnnz(y, rwnnz, varargin)
if any(isnan(y)) || isempty(y)
y = [];
current_score_nnz = 0;
return
end
rwnnz = 1 - rwnnz;
current_score_nnz_lim = Inf;
if not(isempty(varargin))
current_score_nnz_lim = varargin{1};
end
if not(isequal(current_score_nnz_lim, 2))
... |
c6bf26048fb99b327e3b9d227cbf8a4dab7dd1affc253413156f4d78f63664ab | MATLAB | 1,164 | 42 | function zef_dpq_plot_resection(varargin)
%This function plots a convex hull enclosing a set of resection points.
alpha_value = 0;
resection_color = 'g';
if not(isempty(varargin))
resection_points = varargin{1};
if length(varargin) > 1
resection_color = varargin{2};
end
if length(varargin) > 2
... |
55bdf49aac090f77530deccf4579e27aa2e82293c3e06896eeee2efe0193f1c7 | MATLAB | 1,165 | 29 | function [processed_data] = zef_define_time_interval(f, 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 arguments ... |
6fe173b15a16d96fede385e800992c4ccd9c11581bf9c077e165519c31473bec | MATLAB | 1,171 | 45 | function n=hist2a(A,B,L)
%HIST2 Calculates the joint histogram of two images or signals
%
% Note, this is a trimmed down, speed optimised version of the hist2
% function, optimised for use in the FORCe method. Do not try to use this
% code of other purposes, it most likely won't work properly.
%
% Modified by: ... |
bd3d5ed1c79ebcc622b23d86cccbc39b86e0d017dc4185123fe459d7cef48032 | MATLAB | 1,172 | 30 | function zef_source_tree_deletenode_pushed(~, ~, ~)
%ZEF_SOURCE_TREE_DELETENODE_PUSHED Delete currently selected tree node
% (and its children) and update zef.source_tree accordingly.
zef = evalin('base','zef');
selected_node = zef_source_tree_get_selected(zef.h_source_tree.SourceTree);
if isempty(selected_nod... |
06ed1815503e7304b849ce23b892ad723a438de07486cb886cb4b957751789f3 | MATLAB | 1,174 | 47 | function ETC_DeleteFcn
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
global sETC;
global sFigETC;
%ask to quit
opts = struct;
opts.Default = 'Confirm exit?';
opts.Interpreter = 'none';
strAns = questdlg('Are you sure you wish to exit?','Confirm exit','Save & Exit','Exit & Di... |
3d1c1533fb2d4ebc96594aace8fa79b7fc0523973f2a78eb1532f3c79fddc827 | MATLAB | 1,174 | 58 | %Copyright © 2021- Sampsa Pursiainen & GPU-ToRRe-3D Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre-3D
function [x,conv_val,n_iter] = pcg_iteration(A,b,tol_val,max_it,M,x)
if nargin < 5
M = [];
end
if nargin < 6
x = zeros(size(b,1),1);
end
if isequal(class(A),'function_handle')
r =... |
5a0ff5f41a047d19c74bc8bc96c370b63a20e448879cd9ccc708f9ddf5853b5f | MATLAB | 1,174 | 39 | function [S, cfg] = getEEGSpectro(eeg, fs, cfg_)
% spectro = getEEGSpectro(eeg, fs, cfg)
%
% Input:
% eeg - eeg signal
% fs - sample rate in hz
% cfg - struct with following fields:
% spwin__s - segment window size for spectrogram(), in seconds
% spovl__pc - fraction of overlap betwee... |
adeb75a5e854c00b3c89ef24044f83160f2a5ead12c29f5d4f2ebce94c6b066e | MATLAB | 1,174 | 37 | function [contrast_val, brightness_val] = zef_update_contrast(varargin)
if isequal(evalin('caller','exist(''zef'')'),1)
zef = evalin('caller','zef');
else
zef = evalin('base','zef');
end
if not(isempty(varargin))
h_figure = varargin{1};
else
h_figure = eval('zef.h_zeffiro');
end
h = findobj(get(h_fig... |
ea02c1788bb37784124125293b0f121109d4935a8c7c30841bda1a712d2accb9 | MATLAB | 1,174 | 32 | % Get location of the toolbox and specify data directory
toolbox_path = microstate.functions.toolbox_path ; % location where the toolbox is installed
datadir = fullfile(fileparts(toolbox_path),'tutorials','tutorial4_TopographicERP') ; % path to folder containing the data
addpath(datadir) % add this to the path
% Check... |
ff15913de6d0b72c10dab130eb32e1aec282706377e044e7f554030b83aec96f | MATLAB | 1,175 | 39 | function zef = zef_dataBank_importNodeButtonPress(zef)
if nargin == 0
zef = evalin('base','zef')
end
if strcmp(zef.dataBank.app.typeDropDown.Value, 'Node')
[savefile,savepath] = uigetfile('*','Select One or More Node Files','MultiSelect', 'on');
else
[savefile,savepath] = uigetfile('*','Select a dataBank ... |
7fa67780738ed22390ae2d8f2903e9a3fc4b92096af4dd093f3489a2d5ffaa8e | MATLAB | 1,179 | 42 | function zef_nse_plot_roi(h_axes,zef,nse_field)
if nargin == 0
h_axes = evalin('base','gca');
zef = evalin('base','zef');
nse_field = zef.nse_field;
end
axes(h_axes);
hold_val = ishold(h_axes);
if not(hold_val)
hold(h_axes,'on');
end
h_sphere = findobj(h_axes.Children,'Tag','additional: nse_sphere')... |
b4c1a8ca26d781b89ddc323522131029fb782d0bd036005d09d91daaca1bba2a | MATLAB | 1,180 | 33 | function plot_potentials(app)
v = app.PlotModelEditField.Value;
p_lambda =app.model_collection.models{v}.p_lambda;
s_lambda = app.model_collection.models{v}.s_lambda;
%newcolors = app.newcolors;
%% NODES FIRST
weights = reshape(app.model_collection.models{v}.theta.node_potentials,[],1);
weights(weights==0)=[];
if ... |
1ebe4f403fa4cbdad36856d0efd7c0c938a63db2320a427e1c040676056e45dd | MATLAB | 1,181 | 37 | function runComputeSyncResults(parameters)
%
% Compute the sync results for randomly generated networks as specified in the
% parameters object (or file).
% This script is mainly intended for running on a cluster, where
% we need to set the Matlab path also and then run over multiple values of
% S (number of emp... |
650af1baf10e28f41be3a6c4c3cb69fad96d04d3494879841c15b61f16584712 | MATLAB | 1,181 | 33 | load('sleep_deprivation_lifetime')
figure
for t=1:6
r=normrnd(0,0.1);
plot([1.2,1.8],[qingxing_life_time_new',kunjuan_life_time_new'],'--o','linewidth',3,'color',[r+0.7,r+0.7,r+0.7],'MarkerFaceColor',[r+0.7,r+0.7,r+0.7])
hold on
end
h=boxplot(qingxing_life_time_new,'position',[1.2],'colors',[255/255,... |
f0a1d1028c4c949bcf39527b61b5c3b50a48e33b72d6b17c00e3e5c94e9cd7c7 | MATLAB | 1,181 | 30 | function evaluate_ensembles_button_pushed(app)
update_log(app, 'Evaluating Ensembles...');
identified_ensemble_performance = struct();
bounds = size(app.params.data, 1);
identified_ensemble_performance.full_performance = calculate_ensemble_performance(app.params, app.ensemble_nodes,...
app.log_likelihood_by_fra... |
163a2c2bb918e94a3def935d8e3f4da6a89709e6018e011e6abae5c0909e5f34 | MATLAB | 1,182 | 31 | function zef = zef_add_transform(zef)
if nargin == 0
zef = evalin('base','zef');
end
if not(eval('zef.lock_transforms_on'))
zef_i = 1 + eval(['length(zef.' zef.current_tag '_transform_name)']);
eval(['zef.' zef.current_tag '_transform_name = [zef.' zef.current_tag '_transform_name, ''Transform ' num2st... |
b462917a76122a9a033d7c5017f477eeebf5b8d36faf8e0cd9583b3373706292 | MATLAB | 1,185 | 33 | function perDISRIB=bsliang_generatepermuteDISTRIB(inmat,LT_ind,Npermute)
perDISRIB=nan(4,4,2,Npermute); % 4*block, 4*turn, 2*LT_ind, Npermute
% inmat: block(4)*turn(5)*subj(197)
% turn£º Left iTBS Left cTBS Right iTBS Right cTBS Sham
% block£ºT_CLEAR_ID P_CLEAR_ID T_NOISE_ID P_NOISE_ID
... |
06a4c5328523c01652d56384462214516437663be54731c546ccfae06331bc97 | MATLAB | 1,186 | 49 | if not(isfield(zef,'h_create_dipolar_pair_x'))
zef.create_dipolar_pair_x = 0;
end
if not(isfield(zef,'h_create_dipolar_pair_y'))
zef.create_dipolar_pair_y = 0;
end
if not(isfield(zef,'h_create_dipolar_pair_z'))
zef.create_dipolar_pair_z = 0;
end
if not(isfield(zef,'h_create_dipolar_pair_ori_x'))
zef.... |
0ce49caabbf4f4b51c17c96a18e50ae786bacb43a9021339bccd4d72cea2de72 | MATLAB | 1,186 | 46 | function G = grammatrix(M, x, vectors)
% Computes the Gram matrix of tangent vectors in the Manopt framework.
%
% function G = grammatrix(M, x, vectors)
%
% M is a Manopt manifold structure obtained from a factory.
% x is a point on the manifold M.
% vectors is a cell containing n tangent vectors at x.
%
% G is an n-by... |
a3924880b1868884a08ededbac3e2df213673af510ef20d02ba94e85309879c9 | MATLAB | 1,186 | 24 | function [ensemble_nodes] = recompare_random_ensembles(node_performance, random_ensemble_performance, num_deviations)
%grab
[num_node, num_stim] = size(node_performance);
auc = cell2mat(node_performance);
%preallocate
ensemble_nodes = cell(num_stim,1);
%fill
for ii = 1:num_stim
temp_deviations = num_deviations;
... |
bf312a60f8db5b91289730e5b625277887520295de83d631d076259d8bb7be47 | MATLAB | 1,186 | 49 | function Gamma = simgamma(T,P,Pi,nrep,grouping)
%
% Simulate data from the HMM-MAR
%
% INPUTS:
%
% T Number of time points for each time series
% P Transition probability matrix
% Pi Initial probabilities
% nrep no. repetitions of Gamma(t), fro... |
f922ebd3ff9f4badaef3ecb016380ace346b10f8c4bf033a6b3c3cf47319586f | MATLAB | 1,191 | 31 | % openvibe toolbox for Matlab
% OV_getSpectrumOutputHeader.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
% Set the header information on a signal output.
% MEANT TO BE USED IN USER SCRIPT
function [errno, nb_channels, channel_names, nb_abscissas, abscissas_names, abscissa... |
5b673aac1182cf439d46352938035bc21f9f25ee5b79c1ba7f1412234647a2f3 | MATLAB | 1,193 | 33 | % Get location of the toolbox and specify data directory
toolbox_path = microstate.functions.toolbox_path ; % location where the toolbox is installed
datadir = fullfile(fileparts(toolbox_path),'tutorials','tutorial1_RestingEEG_SingleSubj') ; % path to folder containing the data
addpath(datadir) % add this to the path
... |
7005a883cc612c7d08596140066d0a240bafc2cb23b402d00aa62715e6f090e5 | MATLAB | 1,199 | 34 | function [ll, post, logpdf]=estep(log_lh,prob_th)
%ESTEP E-STEP for Gaussian mixture distribution
% LL = ESTEP(LOG_LH) returns the loglikelihood of data in LL. LOG_LH
% is the log of component conditional density weighted by the component
% probability.
%
% [LL, POST] = ESTEP(LOG_LH) returns the posterior pro... |
1b7efb26b2b10454f48c86b1caa2b76d3fc49b39094bbe429189e9e6f9968425 | MATLAB | 1,202 | 56 | % [] = XXXX()
%
% -----------------------------Definition---------------------------------%
%
% description
%
% usage :
%
% -----------------------------Input--------------------------------------%
%
% XX : description + dimension
%
% -----------------------------Output-------------------------------------%
%
% XX : d... |
05fe71aa12395874b6a61381fde69235e2ecefccfb9a2dcb62d51340fc9e881f | MATLAB | 1,204 | 45 | function [dblBlinkiness,dblCenter] = ETO_CalcBlink(vecLum)
%fill
vecFilledData = fillfromtrough(vecLum);
%invert
vecHill = max(vecFilledData(:)) - vecFilledData;
%estimate mean + sd
vecX = (1:numel(vecHill))';
vecM = vecHill(:).*vecX;
dblMean = sum(vecM)/sum(vecHill);
vecV = vecHill(:).*((vecX-dblMean).^2)... |
fe558f36532a04930ae5ddf2fd523626dc68dd4798999ca95706d52ceb196645 | MATLAB | 1,208 | 49 | function onsets = getStateOnsets(vpath,T,Hz,K)
% Finds the onset times of the states for each session.
%
% vpath must be the Viterbi path, and T is the length of the sessions
% Hz is the sampling frequency
% onsets is a cell (subjects by states), where each element is a
% vector of onset times
% K (optional) prespeci... |
1898f119cfa53196acc2910d3a879f48a5e6b833a79b99de30742f2004f4f720 | MATLAB | 1,210 | 32 | function evaluate_best_model_button_pushed(app)
if app.params.assess_decoding
update_log(app, 'Now Assessing Decoding Performance');
[log_likelihoods_each_frame, model_performance] = assess_decoding(app.params, app.best_model);
app.model_performance = model_performance;
% make sure not to overwrite
... |
5b72464f31e69e805ce90511d6e773c25a26c1c21505ed3a69d123a9224ccc83 | MATLAB | 1,210 | 34 | function ORDERnum=bsliang_gainORDERnum(PARnum)
% tranMAT=[1:47;2:48]';
tranMAT=[1,1;... % ÕâÊÇBSLiang±¾ÈË£¬²»ÄÉÈëƽºâÐòÁкÍÊý¾Ý;
142,2;...% Larynx Å®
202,1;...% Larynx Å®
201,3;...% Larynx Å®
55,4;...% Larynx ÄÐ
104,5;...% Larynx Å®
206,6;...% Lary... |
7c438c9f4b5814e04f8f23503035755f37686d9c3ad29cd5cfc62ea6f71d3bd2 | MATLAB | 1,210 | 47 | function zef_closereq(tool_name)
if nargin==0
tool_name ='';
end
if not(isempty(tool_name))
h_tool = findall(groot,'ZefTool',tool_name);
end
% if evalin('base','exist(''zef'',''var'');')
% zef = evalin('base','zef');
%
% if not(isempty(tool_name)) & not(isempty(h_tool))
% time_val = now;
% ... |
6eec4929628571ec4d0fc50f3cd7507f68b50b8ee378714f852451d02dc83ae9 | MATLAB | 1,211 | 34 | function plot_epochs(params,EEG)
nepochs = cellfun(@length,{EEG.epoch});
nRec = length(EEG);
f = figure('units','normalized','outerposition',[0 0 1 1]);
bar(nepochs);
% Recording IDs
s_ids = cellfun(@(x) regexp(x,'.*(?=_eeg.set)','match','lineanchors'),{EEG.filename});
% For a short version of the recordings IDs: del... |
513944f6efe3b2881d6d31f4cb1b92592163963f4d9d6af761ddc2c2d69adfc0 | MATLAB | 1,213 | 15 | options = rmfield(options,'BIGNbatch');
if isfield(options,'BIGNinitbatch'), options = rmfield(options,'BIGNinitbatch'); end
if isfield(options,'BIGtol'), options = rmfield(options,'BIGtol'); end
if isfield(options,'BIGcyc'), options = rmfield(options,'BIGcyc'); end
if isfield(options,'BIGprior'), options = rmfie... |
58519db3d97247832dd0d5316cfc29b146bc34b0a577aeb4f02ce9e140378803 | MATLAB | 1,213 | 41 | function Gamma = padGamma(Gamma,T,options)
% Unless a Gaussian distribution is used to describe the states, the state
% time courses are shorter than the data time series.
% This function adjusts the state time courses to have the same size than
% the data time series, padding the state time courses with probabilities... |
7e31377c18eaeeb9877ac73ef4a85ad74aa4070862c147b59ef918fe5065ba7a | MATLAB | 1,216 | 31 | function [frame_log_likelihoods] = calculate_log_likelihood(frames, node_potentials, edge_potentials, log_z)
%Function to compute frame-wise log_likelihood
% frames is m frames x n nodes
% node_potentials is 1 x n nodes
% edge_potentials is n nodes x n nodes
% log_z is scalar
% frame_log_likelihoods is m frames x 1
%... |
c0632d2354af541394aba8759378e87839bb10b8dbb76f0227f4d3b014b01254 | MATLAB | 1,216 | 37 | function [EEG_filt, EEG_clean] = EEG_preprocessing(EEG_raw, Fs, chans)
addpath(genpath('clean_rawdata-master\'))
addpath(genpath('FORCe\'))
[b,a]=butter(3,[0.5 45]/(Fs/2));
EEG_filt=filtfilt(b,a,double(EEG_raw)')';
ALL_DATA.data=EEG_filt;
ALL_DATA.srate=Fs;
ALL_DATA.nbchan=s... |
6679ea89cdbd73f0c8fb4c78ed5253e5f2897c5a15ebdf7966292461ae0a9deb | MATLAB | 1,218 | 36 | function update_pattern_completion_text(app)
%who is now
udf_num = app.Stimulus_PCN.Value;
% who are mine
app.PCNNeuronsTextArea_PCN.Value = num2str(app.pattern_completion_nodes{udf_num});
%Who is total
all_neur = [];
for i = setdiff([1:size(app.params.udf,2)],udf_num)
all_neur = [all_neur app.pattern_completion_... |
db7052ca2de19aba1a4eca266bca6c18df2b4038e9a413a083bd681f68f31e22 | MATLAB | 1,219 | 35 | function update_ensemble_text(app)
num_udf = app.StimulusEditField.Value; %temp debug
app.EnsembleNeuronsTextArea.Value = num2str(transpose(app.ensemble_nodes{num_udf}));
%Who is total
all_neur = [];
for i = setdiff([1:size(app.params.udf,2)],num_udf)
all_neur = [all_neur transpose(app.ensemble_nodes{i})];
end
... |
67994e5b543373f1726860ed246009219303503dae9308f9ad0e9256810c59b7 | MATLAB | 1,220 | 37 | function [models] = append_additional_models(params,models)
originalL = length(models);
currentL = originalL;
numP = length(params.p_lambda_sequence);
numToBeAdded = (length(params.s_lambda_sequence)*numP)-originalL;
newL = originalL + numToBeAdded;
i = originalL/numP;
j = originalL;
while currentL < newL
i = i +... |
dbe52cba055dccc11cb9fd95ae6f0da7ff9ba3217b8e3c244fcf96e1ac5c98bd | MATLAB | 1,220 | 33 | % Performs fast detrended fluctuation analysis on a nonstationary input signal to
% obtain an estimate for the scaling exponent.
%
% Useage:
% [alpha, intervals, flucts] = fastdfa(x)
% [alpha, intervals, flucts] = fastdfa(x, intervals)
% Inputs
% x - input signal: must be a row vector
% Optional inputs
% ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.