sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ac4aa92f9e3bbf773abe57656304175809528148dadad039e2ebccbb5afe9008 | MATLAB | 7,298 | 253 | %% Copyright © 2025- Joonas Lahtinen and Alexandra Koulouri
function [z_vec, self] = invert(self, f_data, L, procFile, source_direction_mode, source_positions, opts)
%
% invert
%
% Builds a reconstruction of source dipoles from a given lead field with
% the GroupLasso method.
%
% Inputs:
%
... |
9cc13992a7456dabb84eaf7fe3d0cd88e4e616fa8187dd58374ca8899fc18326 | MATLAB | 7,340 | 250 | classdef ZefSourceModel
% An enumeration of the different source- or interpolation models used by
% Zeffiro Interface.
enumeration
Hdiv
Whitney
StVenant
ContinuousHdiv
ContinuousWhitney
ContinuousStVenant
Error
end
methods
function ... |
2a65949bf7abba2f9d4843798c765d5da9e1e7970eed3500f6fac67747fcf24c | MATLAB | 7,341 | 257 | function M = spherefactory(n, m, gpuflag)
% Returns a manifold struct to optimize over unit-norm vectors or matrices.
%
% function M = spherefactory(n)
% function M = spherefactory(n, m)
% function M = spherefactory(n, m, gpuflag)
%
% Manifold of n-by-m real matrices of unit Frobenius norm.
% By default, m = 1, which c... |
2ad6692c153264eb719f1eab566e2b41168bf792c2461c130769a769d69b5d03 | MATLAB | 7,353 | 258 | % The idea of this script is that everytime someone changes something in
% the core code, runs it to check everything is still alright.
% That is: we won't update stuff to git without running this script first
% gen data
X = randn(4000,3); T = 500*ones(8,1);
B = rand(3);
for i=1:length(T)
X((1:250)+sum(T(1:i-1... |
6cbe0470a7bf391f9e1cd902061cbf8cf47587e96835d31144db131978c3a9c5 | MATLAB | 7,379 | 171 | function [z,Var_loc,reconstruction_information] = RAP_MUSIC_iteration
%Based on
%- "Source Localization Using Recursively Applied and Projected (RAP) MUSIC" (1999)
%- "EEG and MEG Source Localization using Recursively Applied (RAP) MUSIC" (1997)
%by John C. Mosher and Richard M. Leahy
h = zef_waitbar(0,1,['RAP MUSIC.'... |
8acac0f6689bbe8a4437fb5f579dbf78f08159728cf4e8797f52c8fda7436065 | MATLAB | 7,385 | 222 | function [dblClustP,sClustPos,sClustNeg] = clustertest(matCond1,matCond2,intReps,vecT,dblClusterCutOff)
%clustertest Cluster-based statistical test for paired data; Maris and Oostenveld (2007)
% [dblClustP,sClustPos,sClustNeg] = clustertest(matCond1,matCond2,intReps,vecT,dblClusterCutOff)
%% check inputs
if nar... |
7351977e0c66dccddf6f498e4bc7b5207383d714d39500e12dcb22eb8275a6a0 | MATLAB | 7,387 | 130 | function plot_ensemble_coordinates_style_2(app)
cla(app.ensemble_coordinates);
app.ensemble_coordinates.NextPlot = 'replacechildren';
% 1
udf_id = app.StimulusEditField.Value;
udf_label = app.params.udf_labels{udf_id};
neuron_id = app.HighlightedEnsNode.Value;
% 1
app.ensemble_coordinates.Title.String = strcat(udf_lab... |
164976a092d71a5613522b50c1f502e049f2759239db75124a87ea60ea276f75 | MATLAB | 7,408 | 252 | function M = obliquefactory(n, m, transposed)
% Returns a manifold struct to optimize over matrices w/ unit-norm columns.
%
% function M = obliquefactory(n, m)
% function M = obliquefactory(n, m, transposed)
%
% Oblique manifold: deals with matrices of size n x m such that each column
% has unit 2-norm, i.e., is a poin... |
fc8b15e79ba915844841a8122ac5b52af7c6435b18118e7b3305b75ac22772fc | MATLAB | 7,422 | 174 | classdef ModelCollection
properties
%Properties & Definitions
models; % individual models in collection
x_train; % training dataset
x_valid; % validation dataset
x_test; % testing dataset
end
methods
function self = ModelCollection(models,para... |
85b8a2f32ee994ec628c2e77946cd307787bb325b3d47a292d7dc788e793c67d | MATLAB | 7,441 | 143 | %This is the startup script for GMModel app. One must add this as launch
%script to zeffiro_plugins file:
%GMMclustering, inverse_tools, GMModel_start
zef.GMMclustering = GMMclustering_app;
%_ Initial values _
if ~isfield(zef,'GMMcluster_clustnum')
zef.GMMcluster_clustnum = 3;
end
if ~isfield(zef,'GMMcluster_reg... |
227bf0ad6a5109d813947d7f14f79afaab8810fca572b672012190a0282863b1 | MATLAB | 7,472 | 233 | %Copyright © 2018, Sampsa Pursiainen
function [eit_data_vec] = zef_compute_gravity_data(nodes,elements,rho,electrodes,varargin)
N = size(nodes,1);
L = size(electrodes,1);
if iscell(elements)
tetrahedra = elements{1};
prisms = [];
K2 = size(tetrahedra,1);
waitbar_length = 4;
if length(elements)>1
... |
ece93d75e0425647a4f6d24a9a994081fabc8706fccd9cb263237c7ff05c24d5 | MATLAB | 7,472 | 233 | %Copyright © 2018, Sampsa Pursiainen
function [eit_data_vec] = zef_compute_gravity_data(nodes,elements,rho,electrodes,varargin)
N = size(nodes,1);
L = size(electrodes,1);
if iscell(elements)
tetrahedra = elements{1};
prisms = [];
K2 = size(tetrahedra,1);
waitbar_length = 4;
if length(elements)>1
... |
a4d0a72226793099c0da73cf44e881b021780acb1e1105390a4ba923fa767312 | MATLAB | 7,491 | 228 | function Gamma = cluster_decoding(X,Y,T,K,cluster_method,...
cluster_measure,Pstructure,Pistructure,GammaInit,repetitions,nwin)
% clustering of the time-point-by-time-point regressions, which is
% temporally constrained unlike TUDA
% INPUT
% X,Y,T are as usual
% K is the number of states
% cluster_method is 'regre... |
c4f203d1c1785aeb1fd56b4968ab693e65a1971d908272688cb194bee7b52624 | MATLAB | 7,491 | 220 | function [Y, R, E] = Isomap(D, n_fcn, n_size, options);
% ISOMAP Computes Isomap embedding using the algorithm of
% Tenenbaum, de Silva, and Langford (2000).
%
% [Y, R, E] = isomap(D, n_fcn, n_size, options);
%
% Input:
% D = N x N matrix of distances (where N is the number of data points)
% n_... |
d4fe51ee1eeb56fe19678f8fc674f0ace4ca7d4551fe4cafb0034a945d42d52b | MATLAB | 7,495 | 120 | if isfield(zef,'h_mesh_tool')
if isvalid(zef.h_mesh_tool)
delete(zef.h_mesh_tool)
end
end
zef_data = zef_mesh_tool_app_exported;
%zef_data.h_mesh_tool.Visible=zef.use_display;
zef = zef_assign_data(zef, zef_data);
zef.h_mesh_tool.CloseRequestFcn = 'zef.h_mesh_tool.Visible=''off'';';
zef.h_mesh_tool.De... |
a872beaa229a3f836d466725a3de0a6b7dd223f1c69f27735ecb7de07cbe8de5 | MATLAB | 7,499 | 137 | function zef = zef_ES_optimization_window(zef)
zef_ES_optimization_init;
zef_data = zef_ES_optimization_app;
%% zef_data
% Figure
zef.h_ES_workbench = zef_data.h_ES_workbench;
% DropDown
zef.h_ES_opt_solver = zef_data.h_ES_opt_solver;
zef.h_ES_opt_method = zef_data.h_ES_opt_method;... |
363dcb3ce6b50072271e4ced8dc90c122e7c50bc8c75f14f3961f3ba38cb9923 | MATLAB | 7,518 | 172 | function [z,Var_loc,reconstruction_information] = RAP_MUSIC_iteration
%Based on
%- "Source Localization Using Recursively Applied and Projected (RAP) MUSIC" (1999)
%- "EEG and MEG Source Localization using Recursively Applied (RAP) MUSIC" (1997)
%by John C. Mosher and Richard M. Leahy
h = zef_waitbar(0,1,['RAP MUSIC.'... |
426cd6665ff01d71a62fb12a180f160e2d57c084fbd7b172605eada2e562a9d7 | MATLAB | 7,542 | 243 | function [sTrackParams,sLabels] = getEyeTrackingParameters(sFile,strTempPath,boolAutoRun,boolOnlyLabels)
%getEyeTrackingParameters Run offline pupil detection parameter setter
% sTrackParams = getEyeTrackingParameters(sFile)
%sFile=sETO.sFiles(intFile);
%strTempPath=sETO.strTempPath;
%% globals
global sFigE... |
4b2bc280a7ffc3e7d2d591bf245f5257a02ed9213bfba8ed91739b15943ec3fa | MATLAB | 7,550 | 224 | function [mcv,cv,rmcv_rand,rcv_rand,rmcv_train,rcv_train] = cvhmmmar(data,T,options)
%
% Obtains the cross-validated sum of prediction quadratic errors.
%
% INPUT
% data observations, either a struct with X (time series) and C (classes, optional)
% or just a matrix containing the ti... |
63b1daa8e24b5b06e7ecff81dddaf0adb03d2801f29445f3a886d6cb6fe75d65 | MATLAB | 7,558 | 189 | function detection = moelle_spindle_detection(C3_N2,C3,fs)
% MOLLE Detect sleep spindles using the Moelle algorithm.
% M. Molle et al. "Grouping of Spindle Activity during Slow Oscillations
% in Human Non-Rapid Eye Movement Sleep", J Neurosc 22(24), 2002, pp
% 10941-10947
%
% First input is a structure containing EEG f... |
72e58acf17b7658d33a073050f8eef38393165bdc85df39655dd0f238f365921 | MATLAB | 7,580 | 212 | function [bandwidth,density,X,Y]=kde2d(data,n,MIN_XY,MAX_XY)
% fast and accurate state-of-the-art
% bivariate kernel density estimator
% with diagonal bandwidth matrix.
% The kernel is assumed to be Gaussian.
% The two bandwidth parameters are
% chosen optimally without ever
% using/assuming a parametric model f... |
802d87dbca73ed8fa0651c2c07e98f8c22e47e153ed7e3890c02025897a0c8d1 | MATLAB | 7,598 | 213 |
%--------------------------------------------------------------------------------
% maze.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_engineerin... |
eb32f8525e905ae7c0ea4285380918a75d029e31138ef74b50f6701106aeb4dd | MATLAB | 7,623 | 180 | function [hScrollPanel, hPanel] = attachScrollPanelTo(hObject)
% attachScrollPanelTo Places the input control/panel in a scrollpanel
%
% Syntax:
% [hScrollPanel, hPanel] = attachScrollPanelTo(hObject);
%
% Description:
% attachScrollPanelTo places the specified control/uipanel handle in
% a scroll-panel (a Jav... |
94eb23ad5d4f3c4e257ba5bf892f6cd3d4f7df2b12f88df4fe28c4286d4fcbc3 | MATLAB | 7,645 | 256 | function info = erp_chi2stateprobs(obj,expectedConditions,observedConditions,varargin)
% Perform chi2 test for responses
%% Check inputs
% Check multiple conditions appear in the data
if length(obj.conditionlabels) == 1
error('The cohort structure must contain multiple conditions');
end
% Check if numbe... |
92d023e7c21e51c989e90e6e2454bf28c02091f23b6af6daa0267b41ed0037bb | MATLAB | 7,657 | 196 | function [ptrPanelParent,ptrSlider,ptrPanelTitle,sPointers] = ETO_genSliderPanel(ptrMasterFigure,vecLocation,sFiles)
%% set constants
%unpack location vector
dblTitleHeight = 0.15;
dblTitleY = vecLocation(2)+vecLocation(4)-dblTitleHeight;
dblPanelX = vecLocation(1);
dblPanelY = vecLocation(2);
dblPanelWidth = ... |
72fc486d3feb4e2da31b41c5d88342829842b9694d98c83dfeec37f3aa4ce7da | MATLAB | 7,669 | 296 | load('postprandial_somnolence_avalanche')
wakefulness_value=[];
drowsiness_value=[];
drowsiness_mean_ratio=[];
drowsiness_std_ratio=[];
wakefulness_mean_ratio=[];
wakefulness_std_ratio=[];
for t=1:20
drowsiness_mean_ratio(t)=mean(drowsiness_ratio(:,t));
drowsiness_std_ratio(t)=std(drowsiness_ratio(... |
5e1951064fadbdd60844c0d2a50484e6b6bc87da935594b037a177371a57824d | MATLAB | 7,704 | 180 | %% Fieldtrip processing
% NOTE: This script does not contain any tutorials for +microstate toolbox,
% and is just used for pre-processing the data. For the tutorial on
% +microstate, see the script example_script_EEGcanonicalmaps.m
%
% This script follows the Fieldtrip tutorial for cluster permutation
% analysis... |
70a20c0034876814488b501d2ff5cd5a0d59dde13b8d04ca34a5ddad7e9011a4 | MATLAB | 7,712 | 123 | % NLX2MATNRD Imports data from Neuralynx NRD files to Matlab variables.
%
% [Timestamps, Samples, Header] = Nlx2MatNRD( Filename, ChannelNumber,
% FieldSelectionFlags, HeaderExtractionFlag,
% ExtractMode, ExtractionModeVector);
%
% Version 6.0.0
%
%... |
f5b75cd0c5dcbdae2bc993b1ced2a887837adf97ecb0db53c39ebe8cfc5c039e | MATLAB | 7,729 | 172 | %% Result 3 : Long-Range Connections for Balancing Performance and Wiring Cost (Figure 4)
%% Generate dataset
if ~exist('IMAGE_nat')
tic
disp('generating gray-scale CIFAR-10 ...(~ 1 min)')
img_dim = x_dim;
[IMAGE_nat,LABEL_nat] = fun_generate_grayCIFAR10(img_dim,numTrain_nat);
toc
end
%... |
1a8d7c3adc9f7b740c58b9a47de6681dd4fb3de113fb97f9ae99dab103a4c58f | MATLAB | 7,733 | 199 | function M = sympositivedefinitefactory(n)
% Manifold of n-by-n symmetric positive definite matrices with
% the bi-invariant geometry.
%
% function M = sympositivedefinitefactory(n)
%
% A point X on the manifold is represented as a symmetric positive definite
% matrix X (nxn). Tangent vectors are symmetric matrices of ... |
13b736cc754067c7e7c1eb38f702c32cc891692109a065f40ed84f8ca6de036e | MATLAB | 7,740 | 188 | function d = stoi(x, y, fs_signal)
% d = stoi(x, y, fs_signal) returns the output of the short-time
% objective intelligibility (STOI) measure described in [1, 2], where x
% and y denote the clean and processed speech, respectively, with sample
% rate fs_signal in Hz. The output d is expected to have a mono... |
b3a43540656faf1b219ad852bf9f16c53067616e1a0851268d7ba46b0364c5e7 | MATLAB | 7,746 | 188 | function d = stoi(x, y, fs_signal)
% d = stoi(x, y, fs_signal) returns the output of the short-time
% objective intelligibility (STOI) measure described in [1, 2], where x
% and y denote the clean and processed speech, respectively, with sample
% rate fs_signal in Hz. The output d is expected to have a mono... |
6ebb526eb95e98114cdf5f3f9d2ae074e9083574903ab7de96e7dcee285c9a4d | MATLAB | 7,774 | 189 | function detection = wamsley_spindle_detection(C3_N2,C3,fs)
% WAMSLEY Detect sleep spindles using the Wamsley algorithm.
% E. Wamsley et al. "Reduced Sleep Spindles and Spindle Coherence in
% Schizophrenia: Mechanisms of Impaired Memory Consolidation",
% Biol Psychiatry 71, 2012, pp 154-161
%
% First input is a struc... |
7d68b446b450c689305c7e72abb71b137672e15b4d504fdda94d3759c060adff | MATLAB | 7,822 | 164 | if isfield(zef,'h_mesh_visualization_tool')
if isvalid(zef.h_mesh_visualization_tool)
delete(zef.h_mesh_visualization_tool)
end
end
zef_data = zef_mesh_visualization_tool_app_exported;
%zef_data.h_mesh_visualization_tool.Visible = zef.use_display;
zef.fieldnames = fieldnames(zef_data);
for zef_i = 1:l... |
bceb2128e362d6eb34086b939dc559919bc095eb4393c9c989bbe3bdb1004bdf | MATLAB | 7,836 | 206 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [z,reconstruction_information] = zef_CSM_iteration
h = waitbar(0,['CSM MAP iteration.']);
[s_ind_1] = unique(evalin('base','zef.source_interpolation_ind{1}'));
n_interp = length(s_ind_1);
snr... |
c3e7f646d65bbc5dc00962af47d01a55dd93b39f6d0d8ae9451bba041368e01a | MATLAB | 7,907 | 251 | function [P,Psession,D] = permtestFC(data,T,options)
%
% Test the how different are the states in terms of FC
%
% INPUT
% data observations, either a struct with X (time series) and C (classes, optional)
% or just a matrix containing the time series
% T length of series
... |
f313c609d128488d16cfc3ff4570bbca4d1b2171d5bd3960d028d355a2ca7bbf | MATLAB | 7,909 | 127 | % NLX2MATEV Imports data from Neuralynx NEV files to Matlab variables.
%
% [TimeStamps, EventIDs, TTLs, Extras, EventStrings, Header] =
% Nlx2MatEV( Filename, FieldSelection, ExtractHeader,
% ExtractMode, ModeArray );
%
% Version 6.0.0
%
% Requires MATLAB R2012b... |
5dfb0de8510d44b7dbfa96777dece5ac8cda3746b3b77320aa929b83afcbc681 | MATLAB | 7,946 | 209 | function plotErrorInEmpiricalSyncResults(varargin)
%% function plotErrorInEmpiricalSyncResults(N, b, c, undirected, discretized, repeats, networkType, p, d, S, maxMotifLength, folder, MaxK, dt)
%function plotErrorInEmpiricalSyncResults(parameters)
%
% Plot the error between analytic and empirical synchronisation versus... |
f3358f678b893eff0b274e7ee310e142f6fc19ba066fe8e84492dc62025ae777 | MATLAB | 7,947 | 128 |
function varargout = zef_bst_plugin_start(folder_name,zef_bst,open_dialog)
if nargin < 2
zef_bst = struct;
end
if nargin < 3
open_dialog = 1;
end
varargout = cell(0);
zef.program_path = folder_name;
addpath(fullfile(folder_name,'m'));
zef = zef_apply_system_settings(zef);
position_vec = zef.segmentation_tool_de... |
a1ea4a0bed40b47b2304eced3742738e0381b812235914affbb476e1d34de9fa | MATLAB | 7,965 | 268 | function [A, B, C] = zef_build_electrodes(nodes, electrode_model, impedance_vec, impedance_inf, ele_ind, A)
% zef_build_elecrodes: constructs the matrices B and C [*] from given nodes,
% impedances, a stiffness matrix A and electrode indices. Notice that the
% stiffness matrix A is also returned from the function, to ... |
31d873485f7e2117ac6975da3c220d29c0633ffcee6c4e5bb0890a88217210be | MATLAB | 8,009 | 226 | %Copyright © 2018, Sampsa Pursiainen
function [L_gravity, bg_data, source_locations, source_directions] = lead_field_gravity(nodes,elements,rho,sensors,varargin)
% function [L_eeg, source_locations, source_directions] = lead_field_gravity(nodes,elements,rho,sensors,gravity_ind,source_ind,additional_options)
%
% Input:... |
8a5ff8feeeb039346abd00ee51cb988d507c31c070c88c68c0a000d9d90ad6dc | MATLAB | 8,014 | 196 | function detection = martin_spindle_detection(C3_N234,C3,fs)
% MARTIN_SPINDLE_DETECTION Detect sleep spindles using the Martin algorithm.
% N. Martin et al. "Topography of age-related changes in sleep spindles",
% Neurobio Aging 34(2), 2013, pp 468-476
% First input is a structure containing EEG from C3-M2 during all N... |
6ef4b20790251aac251631aabc46a0bde8fc872b7c93ec9281d7da464c1ecf65 | MATLAB | 8,030 | 214 | % eegfilt() - (high|low|band)-pass filter data using two-way least-squares
% FIR filtering. Optionally uses the window method instead of
% least-squares. Multiple data channels and epochs supported.
% Requires the MATLAB Signal Processing Toolbox.
% Usage:
% >> [smoothdata] = ... |
e2ec72b749b9f73abc6b793a300c4e9032ca947dd9a35a367c4b2c9e80ebedf3 | MATLAB | 8,031 | 226 | function obj = simulate_data(obj,varargin)
% Simulate time series data
% check inputs
options = microstate.functions.make_options(varargin) ;
% default options
defaults = {'params',struct ;
'fsample',[]} ;
options = microstate.functions.add_options(options,defaults) ;... |
65216a7228d34226b1255af303237833c1730bc57e55391320ffa30204de717c | MATLAB | 8,048 | 231 | function x = beeswarm(x,y,varargin)
%function xbee = beeswarm(x,y)
%
% Input arguments:
% x column vector of groups (only tested for integer)
% y column vector of data
%
% Optional input arguments:
% sort_style ('nosort' - default | 'up' | 'down' | 'fan' | 'rand' | 'square' | 'hex... |
13423f81fe1872aabb2014dd2c43cc770474b9d1460048da98e06eecd11a1d02 | MATLAB | 8,073 | 188 | %% DOES NOT NAME FILES RELIABLY!
%% ZERO FOR NON-RIGID MOCO
rigid = 0; % set to zero for non-rigid
crop = 0;
minFrames=2999;
target_binWidth = 150;
force_frame_count = 1; %33450; % 33450; % prime numbers crash the moco
force_resize = 0; % checking if changing size of frame helps with crash
% moco settings
bounds = 10... |
25b368903386a64475fa4353d52d637a64a0669ee39e9209c9f835ee43950a98 | MATLAB | 8,083 | 128 | % NLX2MATCSC Imports data from Neuralynx NCS files to Matlab variables.
%
% [Timestamps, ChannelNumbers, SampleFrequencies, NumberOfValidSamples,
% Samples, Header] = Nlx2MatCSC( Filename, FieldSelectionFlags,
% HeaderExtractionFlag, ExtractMode, ExtractionModeVector);
%
% Version 6.0.0
%
% ... |
fb0143bd895d80add06312127a3e4eff37575bfe00ed71f5df811a57745019ec | MATLAB | 8,110 | 284 | function varargout=shadedErrorBar(varargin)
% function varargout=shadedErrorBar(x,y,errBar,varargin)
% generate continuous error bar area around a line plot
%
% function H=shadedErrorBar(x,y,errBar, ...)
% function H=shadedErrorBar(ax,x,y,errBar, ...)
%
% Purpose
% Makes a 2-d line plot with a pretty shaded er... |
c8f0349a21f99a98a20d1084aebc904b8e759afde55c6d980a20b8d862f2ddc6 | MATLAB | 8,111 | 128 | % MAT2NLXTS Exports data from Matlab into a Neuralynx NTS file.
%
% Mat2NlxTS(Filename, AppendToFileFlag, ExportMode, ExportModeVector,
% FieldSelectionFlags, TimeStamps, Header);
%
% Version 6.0.0
%
% Requires MATLAB R2012b (8.0) or newer
%
%
% Notes on export data:
% 1. Each export variable'... |
4ba825f1ecad6338e08f7edabf07b77e4db787b445bc541cc949078800d84644 | MATLAB | 8,147 | 304 | function [dip,xl,xu, ifault, gcm, lcm, mn, mj] = HartigansDipTest(xpdf)
% function [dip,xl,xu, ifault, gcm, lcm, mn, mj]=HartigansDipTest(xpdf)
%
% This is a direct translation by F. Mechler (August 27 2002)
% into MATLAB from the original FORTRAN code of Hartigan's Subroutine DIPTST algorithm
% Ref: Algorithm AS 217... |
741414e3aa73b98f8e730e88db6e7884b79a0c9b1400218d775cfb6f586ad819 | MATLAB | 8,150 | 207 | %% initialize
clear; clc;
pathCurrent = pwd;
cd ../temp
load('tempFileForAnalysis.mat');
cd(pathBIDS);
cd derivatives
pathDeriv = pwd;
cd(pathDeriv);
cd('rawdata');
pathRaw = pwd;
cd(pathDeriv);
mkdir('behavior');cd('behavior');
pathBehav = pwd;
outlier_idx = 16;
%% load data
cd(pathBIDS);
subdir = dir('sub-*');
... |
20a6cbd8bd7c4e65ef12a631cc787fe3d13db7c61d25bca99e23d8ba55f430aa | MATLAB | 8,179 | 338 | %% clear all
disp('Preparing for clearing all and restart...')
m=input('Do you want to continue, Y/N [Y]:', 's');
if m ~= 'Y'
return
end
clear all
close all
clc
addpath('./tools/')
%% pre training
dt=0.01;
% input_infor={'q'};
input_infor={'xy', 'qdt'};
% input_infor={'q', 'qdt'};
% input_inf... |
9f8f7bd518969f38f1a62f34523e539d7e79d302ae9ba43697ff365e37bcadc5 | MATLAB | 8,209 | 322 | function [G, interpolation_positions] = zef_whitney_interpolation( ...
p_nodes, ...
p_tetrahedra, ...
p_brain_inds, ...
p_intended_source_inds, ...
p_nearest_neighbour_inds, ...
p_optimization_system_type ...
)
% Documentation
%
% Produces a lead field interpolation matrix G with position-b... |
a9745341e873fe78de26704123ee3e669c7df58f1b270f10d30e9981fb030ebf | MATLAB | 8,217 | 212 | function model = standard_classifier_train(X,Y,T,options,binsize)
% Fit a classifier to the data given in X with labels Y of the type
% specified in the options - see below for details
%
% INPUT
% X: Brain data, (total time by regions) or (time by trials by regions)
% Y: Stimulus, (total time by q). This variable can e... |
a50bad84ec535202b9099fb4b378c699999d3c3082ac211e5ade30d7547ef805 | MATLAB | 8,221 | 235 | function [hmm,fehist,feterms,rho] = hmmstrain(Xin,T,hmm,info,options)
% Stochastic HMM variational inference
%
% INPUTS
% Xin: cell with strings referring to the files containing each subject's data,
% or cell with with matrices (time points x channels) with each
% subject's data
% T: cell of vectors, wher... |
3ac448dbdeb0f6ca3080b0522ff07766692e37d867e69137779159ee4360e26f | MATLAB | 8,230 | 241 | clcl
clear all
rednumber=0; %redundant to analyse. if 0, use all.
t1=250; t2=799; t3=800; t4=1350;%times of analysis; longer lead-ins bc need buffer times on teh edges
for fileload=1;
files1={};%
files2={};%;
end
ft_defaults
load dataTEMPLATE_for_fieldtrip
%control
for fila=1:size(files1,1);
da... |
94b2ac48dd970e594b2fe161ebc89bb87333a90ca2231e9a3d3b6cf9ce07dc99 | MATLAB | 8,231 | 133 | function cat12_slice_and_dice_all_job(nyrs)
%-----------------------------------------------------------------------
% Job saved on 09-Nov-2020 12:54:55 by cfg_util (rev $Rev: 7345 $)
% spm SPM - SPM12 (7771)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
addpat... |
1afc60ddf8f281d7ce1397e832357e3033e23f10f69d60b3987a152a5b7a3727 | MATLAB | 8,232 | 266 | function [meshStruct,tissueTable] = main(meshFile, tissueListingFile, kwargs)
%
% [meshStruct, tissueTable] = utilities.simnibsToZef.main(meshFile, tissueListingFile, kwargs)
%
% Loads a mesh and a related tissue data table from a set
% of given mesh file and a tissue listing file generated
% by the charm pipeline of ... |
8edd2c86aa834cd160d2dc8a068ba9f2148d46efaf625a265fe2b6975ea8b5e4 | MATLAB | 8,232 | 131 | % NLX2MATVT Imports data from Neuralynx NVT files to Matlab variables.
%
% [TimeStamps, ExtractedX, ExtractedY, ExtractedAngle, Targets, Points] =
% Nlx2MatVT( Filename, FieldSelection, ExtractHeader,
% ExtractMode, ModeArray );
%
% Version 6.0.0
%
% Requires M... |
f3a9734e865f41b017555fe90accc101ab860fe3057327b8ca1bfe3c53ec9177 | MATLAB | 8,259 | 255 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_postprocess_fem_mesh(zef)
if nargin==0
zef = evalin('base','zef');
end
if isempty(zef)
zef = evalin('base','zef');
end
h = zef_waitbar(0,1,'Mesh post-processing');
parame... |
c169c2b96f2031b7193657b9c767256316daea76b74a9806a2666d0c03ad1458 | MATLAB | 8,267 | 132 | % NLX2MATSPIKE Imports data from Neuralynx NSE, NST and NTT files to Matlab variables.
%
% [Timestamps, ScNumbers, CellNumbers, Features, Samples, Header] =
% Nlx2MatSpike( Filename, FieldSelectionFlags,
% HeaderExtractionFlag, ExtractMode, ExtractionModeVector);
%
% Versio... |
e098cb3d0dd76d350897f3f5277e7b7574dee3901145ac5416e036ae8c647f41 | MATLAB | 8,280 | 207 | function [stepsize, newx, newkey, lsstats] = ...
linesearch(problem, x, d, f0, df0, options, storedb, key)
% Standard line-search algorithm (step size selection) for descent methods.
%
% function [stepsize, newx, newkey, lsstats] =
% linesearch(problem, x, d, f0, df0, options, storedb... |
3d2c38a7ec8d1620ca46225356ffaba51f8ca90490cba95771c5df8958781d25 | MATLAB | 8,329 | 123 | function batch_mrionly_job_nacc(suffix)
addpath(genpath('/home/mfromano/spm/spm12/'));
BASE_DIR = ['/data2/MRI_PET_DATA/processed_images_final' suffix filesep];
MRI_folder_new = [BASE_DIR 'ADNI_MRI_NACC_recenter' suffix filesep];
maxNumCompThreads = 1;
spm('defaults', 'PET');
spm_jobman('initcf... |
853cab2f31c8a66e672bb29c914a08964b20496b632f03322b2a36c509ae8dfb | MATLAB | 8,344 | 227 | function [GMModel,GMModelDipoles,GMModelAmplitudes,GMModelTimeVariables] = zef_GMModeling_K
h = zef_waitbar(0,1,['Gaussian mixature model.']);
GMModelTimeVariables = [];
if evalin('base','isfield(zef,''reconstruction_information'')')
reconstruction_information = evalin('base','zef.reconstruction_information');
... |
065e16905e1f9a91330a87758be00a66acc5c6158ab5b7d1729759a59658e075 | MATLAB | 8,387 | 125 | function batch_mrionly_job(suffix)
addpath(genpath('/home/mfromano/spm/spm12/'));
BASE_DIR = ['/data2/MRI_PET_DATA/processed_images_final' suffix filesep];
MRI_folder_new = [BASE_DIR 'ADNI_MRI_nii_recenter' suffix filesep];
fnames = dir(MRI_folder_new);
fnames = {fnames.name};
maxNumCompThreads... |
661c818b2d5f27108ae88614f5f740b57c69a2bb6822517127d1bf173a9a66e2 | MATLAB | 8,396 | 310 |
%%
load('sleep_deprivation_avalanche')
drowsiness_mean_ratio=[];
drowsiness_std_ratio=[];
wakefulness_mean_ratio=[];
wakefulness_std_ratio=[];
for t=1:20
drowsiness_mean_ratio(t)=mean(drowsiness_value(:,t));
drowsiness_std_ratio(t)=std(drowsiness_value(:,t));
wakefulness_mean_ratio(t)=mean(... |
8ba0103a49ded6e2656afdbd87e481c2c12f0d6bde7159f703ba364972ce43e4 | MATLAB | 8,401 | 125 | function batch_mrionly_job(suffix)
addpath(genpath('/home/mfromano/spm/spm12/'));
BASE_DIR = ['/data2/MRI_PET_DATA/processed_images_final' suffix filesep];
MRI_folder_new = [BASE_DIR 'ADNI_MRI_nii_recenter_NL' suffix filesep];
fnames = dir(MRI_folder_new);
fnames = {fnames.name};
maxNumCompThre... |
708e65fa3323a30887d061d27681cb944b36a1050348c1c305df6cbdecd1c4e7 | MATLAB | 8,408 | 229 | function low_rank_matrix_completion()
% Given partial observation of a low rank matrix, attempts to complete it.
%
% function low_rank_matrix_completion()
%
% This example demonstrates how to use the geometry factory for the
% embedded submanifold of fixed-rank matrices, fixedrankembeddedfactory.
% This geometry is des... |
0560e73550de617f63da67b4bfa8acbde30946f11283114177a3ca57a5fa57a8 | MATLAB | 8,459 | 234 | % pop_eegfiltnew() - Filter data using Hamming windowed sinc FIR filter
%
% Usage:
% >> [EEG, com, b] = pop_eegfiltnew(EEG); % pop-up window mode
% >> [EEG, com, b] = pop_eegfiltnew(EEG, locutoff, hicutoff, filtorder,
% revfilt, usefft, plotfreqz, minphase);
%
% Inputs:
% EEG ... |
02c847081d8553d169fb6d8a51930c67fc2b4e98c7304537ce89c76644243e7e | MATLAB | 8,479 | 242 | %%Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [L_eeg, dipole_locations, dipole_directions] = lead_field_eeg_fem(nodes,elements,sigma,electrodes,varargin)
% function [L_eeg, source_locations, source_directions] = lead_field_eeg_fem(nodes,... |
c97bdffab1f26ada46fa05890f853296d28b856ce316ee608ba3d250643e8dd0 | MATLAB | 8,480 | 296 | function [Model, state] = estimate_multispike_em(Model,Data,Spike_state)
% Estimate multispike state
% [Model, state] = estimate_multispike_state(Model,Data,Spike_state)
% --- Model parameters (input: fixed parameter)
% Model.tau
% --- Model parameters (input/output: update parameter)
% Model.a
% Model.b
% ... |
5d524756ec2d192e2656c8fb5fc1d8ce5fb307500d69385beb663f636ec28fb1 | MATLAB | 8,519 | 189 | function zef = zef_strip_tool_init(zef)
if not(isfield(zef.strip_tool,'current_strip'))
zef.strip_tool.current_strip = 1;
end
if not(isfield(zef,[zef.current_sensors '_strip_cell']))
zef.([zef.current_sensors '_strip_cell']) = cell(0);
zef.([zef.current_sensors '_strip_cell']){1} = struct;
zef.([zef.current_sensors '... |
154ed95e6eb193759c4aadf4b68b69820cfb3231f2a9a4054c9afb484803c9f7 | MATLAB | 8,526 | 247 | function M = rotationsfactory(n, k)
% Returns a manifold structure to optimize over rotation matrices.
%
% function M = rotationsfactory(n)
% function M = rotationsfactory(n, k)
%
% Special orthogonal group (the manifold of rotations): deals with matrices
% R of size n x n x k (or n x n if k = 1, which is the default)... |
906184641b43a6974c2f99577f671fa1ab6523134e874f89aee38b576f1892e9 | MATLAB | 8,571 | 248 | function M = stiefelfactory(n, p, k, gpuflag)
% Returns a manifold structure to optimize over orthonormal matrices.
%
% function M = stiefelfactory(n, p)
% function M = stiefelfactory(n, p, k)
% function M = stiefelfactory(n, p, k, gpuflag)
%
% The Stiefel manifold is the set of orthonormal nxp matrices. If k
% is larg... |
e80b5628cbe3b6005aab180503dd23bdb3581de0d60147ac6a52091d3535c89e | MATLAB | 8,596 | 144 |
%--------------------------------------------------------------------------------
% fig1.m
%
% Copyright (C) 2025 Takuya Isomura
% (RIKEN Center for Brain Science)
%
% 2025-06-18
%--------------------------------------------------------------------------------
% initialization
clear
Tinit = 20; ... |
3d2b27f86983060256cdac38e1939dc8e6df86fc2d420648aaf42b733874a7b8 | MATLAB | 8,601 | 213 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [z,reconstruction_information] = zef_ramus_iteration(zef)
h = zef_waitbar([0 0 0], [1 1 1],['RAMUS iteration.']);
[s_ind_1] = unique(eval('zef.source_interpolation_ind{1}'));
n_interp = lengt... |
c248e4a8ebbce10479f1ea64d31a9936b515fee21d7b321f7a7dab8e56cb1d7a | MATLAB | 8,611 | 178 | %% initialize
clear; clc;
currentPath = pwd;
cd ../temp
load('tempFileForAnalysis.mat');
cd(pathBIDS);
cd derivatives
pathDeriv = pwd;
cd(pathDeriv);
cd('spm-preproc'); % For saving preprocessed file from SPM
pathPrepFile = pwd;
prepSubjFolders = dir('sub*');
cd(pathDeriv);
cd('behavior');
pathBehav = pwd;
load('be... |
96d8045529fc94a0c5988a09b0f6a618f26eaa85ed6b78cf9d63a84c17ac4e32 | MATLAB | 8,612 | 166 | function [signal,sample_mask] = clean_windows(signal,max_bad_channels,zthresholds,window_len,window_overlap,max_dropout_fraction,min_clean_fraction,truncate_quant,step_sizes,shape_range)
% Remove periods with abnormally high-power content from continuous data.
% [Signal,Mask] = clean_windows(Signal,MaxBadChannels,Power... |
7c6e813507dec61eac14e67e672e1aa79ec19fd77a3506134379e417ab7c9bff | MATLAB | 8,635 | 217 | function hmm = mlhmmmar (X,T,hmm0,Gamma,completelags)
% Given the state time courses estimation, does a last estimation of each MAR using (local) ML
%
% INPUT
% X observations
% T length of series
% hmm0 HMM-MAR structure
% Gamma p(state given X) - has to be fully defined
% comp... |
9fa9e765c364e75a40716e23b4d992654267bca109380651b8f965001aef05b2 | MATLAB | 8,643 | 292 | function zef = zef_GMModel_window(zef)
h1 = figure(...
'PaperUnits',get(0,'defaultfigurePaperUnits'),...
'Units','normalized',...
'Position',[0.43 0.52 0.20 0.45],...
'Visible',get(0,'defaultfigureVisible'),...
'Color',get(0,'defaultfigureColor'),...
'IntegerHandle','off',...
'Colormap',[0... |
e3450334dc765fe1dd1abe579cd962a7178d1a2ee2d40d2f15932d6d82777354 | MATLAB | 8,684 | 143 | % NLX2MATNDE Imports data from Neuralynx NDE files to Matlab variables.
%
% [StartTimeStamps, EndTimeStamps, SamplesLost, DataTypes, ObjectNames, Header] =
% Nlx2MatNDE( Filename, FieldSelection, ExtractHeader,
% ExtractMode, ModeArray );
%
% Version 6.0.0
%
% R... |
e0f35baa8da2258d64b5eb8e18e7bca214e67c4492b32260a239594ce2cd4807 | MATLAB | 8,736 | 152 | %% initialize
clear; clc;
currentPath = pwd;
cd ../temp
load('tempFileForAnalysis.mat');
cd(pathBIDS);
cd derivatives
pathDeriv = pwd;
cd(pathDeriv);
cd('spm-preproc'); % For saving preprocessed file from SPM
pathPrepFile = pwd;
subjFolders = dir('sub*');
subjFolderNames = {subjFolders.name};
clear subjFolders
%% p... |
9b7b27dbf3c1c2a40d9ae89c022782a11c06b319c3848e5498d4a0ffb5ed3331 | MATLAB | 8,753 | 248 | classdef RAMUSInverter < inverse.CommonInverseParameters & dynamicprops
%
% RAMUSInverter
%
% A class which defines the properties needed by the RAMUS inversion method,
% and the method itself.
%
properties
%These three objects are either empty numerics or nested cells.
%F... |
93adfc59329a3b392803b8ce4619557ff493d2f1b6624107b6b0223232262977 | MATLAB | 8,768 | 297 | %% Copyright © 2025- Joonas Lahtinen
function [z_vec, self] = invert(self, f_data, L, procFile, source_direction_mode, source_positions, opts)
%
% invert
%
% Builds a reconstruction of source dipoles from a given lead field with
% the HALpR method.
%
% Inputs:
%
% - self
%
% An... |
fac24e69d76210b5d0353207be8bc8c89aa4bb324585724e6f838cb03583c04f | MATLAB | 8,771 | 216 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_save(zef,file_name,path_name,save_switch)
if nargin == 0
zef = evalin('base','zef');
end
if nargin == 3
zef.save_switch = 1;
elseif nargin == 4
zef.save_switch = save_s... |
67ad02bc134d24125fba30715b9eefff1525f40c9a6a7667e5080423f26ae345 | MATLAB | 8,786 | 254 | function run_simulation_helper0(params)
params = get_final_params_struct_rk4(params);
param = params(1);
HHWUIS_solver_NCexamples_RK4(param);
isdeletebin = 1;
merge_all_parts_binfile_NC(param, isdeletebin);
end
function params = get_final_params_struct_rk4(params)
% function params = get_final_params_struct(para... |
8321843a7b6f81a06177948eeace44fb32d90bfa53ae34de9168311c31e7a71c | MATLAB | 8,844 | 276 | function [dat] = sw_load_EEG (opt)
% [dat] = detect_load_EEG (opt)
%--------------------------------------------------------------------------
% function to load LFP data
% add custom load routines as needed
%
% inputs: 1) structure opt with fields
% opt.pat : path to data file in string
% ... |
f7cca140c966bf16c69285933344b8c792c1343ebfd75dbdbc1a58ab2a0cfe21 | MATLAB | 8,870 | 138 | % MAT2NLXEV Exports data from Matlab into a Neuralynx NEV file.
%
% Mat2NlxEV( Filename, AppendToFileFlag, ExportMode, ExportModeVector,
% FieldSelectionFlags, TimeStamps, EventIDs, TTLs, Extras, EventStrings, Header);
%
% Version 6.0.0
%
% Requires MATLAB R2012b (8.0) or newer
%
%
% Notes on e... |
9d496214b8970d8651fa56359d90f64ee064d9af142ccb5595bcf113eaad1601 | MATLAB | 8,875 | 196 | function [connection_w0, connection_w0_len, ...
connection_long_range_hidden1, connection_long_range_len,num_LRC,num_SRC,...
connection_w1, connection_w1_len] = fun_generate_conn_conv_addLRC_SRC_random(input_cell_num,hidden_cell_num,output_cell_num,...
... |
acb104339ae64d7fd9f95c447e777608f165187ad0cf2903ff86b73a5f37b09e | MATLAB | 8,909 | 282 | classdef KalmanInverter < inverse.CommonInverseParameters
%
% KalmanInverter, Copyright © 2025- Joonas Lahtinen
%
% A class which defines the properties needed by the Kalma filter / Standardized Kalman filter inversion method,
% and the method itself.
% The method is based on the article:
%... |
7a8b5e54ec9aec223c3dee9308fc0c604ef6d481ca37bf1f93c190be60a8a2d7 | MATLAB | 8,923 | 148 | function batch_mrionly_job_errors(suffix)
addpath(genpath('/usr/local/spm/spm12/'));
BASE_DIR = ['/data2/MRI_PET_DATA/processed_images_final' suffix filesep];
MRI_folder = [BASE_DIR 'ADNI_MRI_nii_recenter_NL' suffix filesep];
maxNumCompThreads = 1;
spm('defaults', 'PET');
spm_jobman('initcfg');... |
fca73c293fcd58f5b5b615192a454628f286f0f302ef12e47087f88717fb796a | MATLAB | 8,978 | 214 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [z,reconstruction_information] = exp_ias_iteration_multires(void)
h = zef_waitbar(0,1,['IAS MAP iteration for EP.']);
n_multires = evalin('base','zef.exp_multires_n_levels');
sparsity_factor ... |
04a8431224c37b48314cd629ad3a41a2edb9cbcff1659df7a4a0277195df7116 | MATLAB | 8,993 | 230 | function SleepFrag = Fun_ComputeSleepFrag(NumberOfFilesPerSubject,...
Scorings, EpochLength, WepochsSkip, SepochsSkip, NepochsSkip,...
RepochsSkip)
%% Written and updated by M. Nollet (Aug 2023)
%
% Function to be used to compute sleep fragmentation and consolidation
% data
%
% Requires runlength.m w... |
5a0033517dcf758bff813d99ca4f23e2b6f0a031ea992c20a4864781d722ab85 | MATLAB | 9,001 | 189 | %% initialize
clear; clc;
currentPath = pwd;
cd ../temp
load('tempFileForAnalysis.mat');
cd(pathBIDS);
cd derivatives
pathDeriv = pwd;
cd(pathDeriv);
cd('spm-preproc'); % For saving preprocessed file from SPM
pathPrepFile = pwd;
prepSubjFolders = dir('sub*');
cd(pathDeriv);
cd('behavior');
pathBehav = pwd;
load('be... |
b8bb4dc169251606fee5156b58e58fc417ea7ef61b141b4d97e7b0a05575b3bc | MATLAB | 9,009 | 140 | % MAT2NLXCSC Exports data from Matlab into a Neuralynx NCS file.
%
% Mat2NlxCSC(FileName, AppendToFileFlag, ExportMode, ExportModeVector,
% FieldSelectionFlags, Timestamps, ChannelNumbers,
% SampleFrequencies, NumberOfValidSamples, Samples, Header);
%
% Version 6.0.0
%
% Requires MATLAB... |
2982f62d69cc08e38eef4c9a5bdbbcd7be8a4592541f1c6bcc6209b11e302502 | MATLAB | 9,030 | 241 | %Copyright © 2018, Sampsa Pursiainen
function [L_eit, bg_data, source_locations, source_directions] = lead_field_gravity_grad(nodes,elements,rho,sensors,varargin)
% function [L_eeg, source_locations, source_directions] = lead_field_gravity_grad(nodes,elements,rho,sensors,gravity_ind,source_ind,additional_options)
%
% ... |
b3bcb8ac0390e7b66896ab37bd338b635b758bfb01d1cf7f258ad2cdc50a9076 | MATLAB | 9,110 | 245 | %Asteroid wireframe modeling package for complex microwave analogue object generation.
%Copyright © 2019- Sampsa Pursiainen, Liisa-Ida Sorsa, Christelle Eyraud, Jean-Michel Geffrin.
%This function generates a wireframe corresponding to a given tetrahedral mesh.
%given as argument.
%INPUT: tetra (M-by-4), points (K-by-3... |
57e6e25a89650085597b51b8ac4f1d1f2a32204bf99ed8ac6440c69015ba5472 | MATLAB | 9,155 | 282 | close all
clear;
clc;
tic;
%% histogram of the distances of the vessels found in the image
% read the image
im = imread('veins1.tif');
% flip the image horizontally
% Convert to a binary image
bw = imbinarize(im);
% Sum up all the pixel values
total_sum = sum(bw(:));
% Display the result
disp(total_sum... |
0de19fe623164d0d0809de3f544110e41c45c60ce6f91079098666a16c365c5b | MATLAB | 9,175 | 219 | function [data_Processed] = AnalyzeNerveDataMseq(data,Num_dummies,MaxISI,TC_stuff,data_date)
% this function will estimate system functions for the NOSCOR mseq stim and
% MOVN mseq stim with noise floors. This is data from the nerve,so does a
% coincidence detection b/t left and right stim
%data should be only OSCOR or... |
d25d3d2e410aadcca479aeba1350d9ff40bf58530240563b193fe13a0fe5aac3 | MATLAB | 9,187 | 143 | % MAT2NLXVT Exports data from Matlab into a Neuralynx NVT file.
%
% Mat2NlxVT( Filename, AppendToFileFlag, ExportMode, ExportModeVector,
% FieldSelectionFlags, TimeStamps, ExtractedX, ExtractedY, ExtractedAngle, Targets,
% Points, Header);
%
% Version 6.0.0
%
% Requires MATLAB R2012b... |
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