sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a57028eeca1737c1848cbe99e1c85f8ff84958d482d0123b33623660cbe6010e | MATLAB | 712 | 40 | function x = zef_QinvMQ(x,Q_1,Q_2,Q_3,M,tol,maxit,DM,use_gpu)
if use_gpu
x = gpuArray(x);
Q_1 = gpuArray(Q_1);
Q_2 = gpuArray(Q_2);
Q_3 = gpuArray(Q_3);
M = gpuArray(M);
DM = gpuArray(DM);
end
x_1 = Q_1*x;
x_2 = Q_2*x;
x_3 = Q_3*x;
if use_gpu
[x_1] = pcg_iteration_gpu(M,x_1,tol,maxit,DM,x... |
c547ce44e667be120fdde5d14995be627561ce806b540077e680c40a9a44c05b | MATLAB | 712 | 19 | function [model_collection,params] = estimate_parameters_collection_implementation(params,models)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Default Function for Parameter Estimation
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
d86734fefd4ac1131ff96eb98e90c0e3efa2bfc9ff0a6f4a799af260d4b98940 | MATLAB | 713 | 23 | function c = redwhite(m)
%REDBLUE Shades of red and blue color map
% REDBLUE(M), is an M-by-3 matrix that defines a colormap.
% The colors begin with bright blue, range through shades of
% blue to white, and then through shades of red to bright red.
% REDBLUE, by itself, is the same length as the curren... |
2c15bb743ef1b6ebf5187add8508081d4a27903832b2d53401c9e6df09b0e005 | MATLAB | 714 | 30 | function colorscale_val = zef_update_colorscale(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_figure,'Children... |
bc1f661c06551023083ef4a9b5a23627149ddb6c26ba6896495e34f63b7f91d8 | MATLAB | 714 | 23 | function c = bluewhite(m)
%REDBLUE Shades of red and blue color map
% REDBLUE(M), is an M-by-3 matrix that defines a colormap.
% The colors begin with bright blue, range through shades of
% blue to white, and then through shades of red to bright red.
% REDBLUE, by itself, is the same length as the curre... |
beb901ee88966a5e05e79b7e80aaaf1f46c96ee8e1368c84c9ab73501bc16805 | MATLAB | 714 | 25 | function p = kolmpdf(x)
% KOLMPDF Kolmogorov probability distribution function (pdf).
% P = KOLMPDF(X) computes the Kolmogorov pdf at the values in X.
%
% The size of P is the common size of X. A scalar input
% functions as a constant matrix of the same size as the other inputs.
% Author: Sergiy Iglin
%... |
d58514bd243d7e7616d77fe600c7888c413e305907f41d8a38acafdf4726b04c | MATLAB | 715 | 35 | % OV_MATLAB toolkit
% OV_createBoxInstance.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
%
% This file is meant to be executed prior to any user defined script.
% It construct the objects used by the other functions of the toolkit
% MEANT TO BE USED BY OPENVIBE
%
%out
fu... |
9b9109c9a978f563bd4c1e2dc4a702fff4aba99bdc9384571be3668e080b1058 | MATLAB | 716 | 22 | function CovMats = getCovMats(X,T,maxlag,partial,Flips)
% Get the autocorrelation matrices up to lag maxlag, for each trial
N = length(T); ndim = size(X,2);
if nargin<5, Flips = zeros(N,ndim); end
CovMats = zeros(ndim,ndim,2*maxlag+1,N);
eps = 1e-8;
t0 = 0;
for j = 1:N
t1 = t0 + T(j);
Xj = X(t0+1:t1,:); t0 = t... |
75432d018ed7ed822790318e1d8d296c911b0dfe9a91493d3c3b3b46cb247e66 | MATLAB | 717 | 26 | function compartment_tag = zef_find_compartment(property_name,property_value)
compartment_tags = evalin('base','zef.compartment_tags');
compartment_tag = '';
compartment_found = 0;
compartment_counter = 0;
if ischar(property_value)
property_value = ['''' property_value ''''];
else
property_value = char(strin... |
8001443b9eaad6f00e55859a5ca91983cdd794e3c12c7c795c2ff0de3f81119b | MATLAB | 717 | 27 | function [wmean,wcov]=weightmecov(data,weights)
%WEIGHTMECOV computes the reweighted mean and covariance matrix of multivariate data.
%
% Required input arguments:
% data : data matrix
% weights : weights of the observations
%
% This function is part of LIBRA: the Matlab Library for Robust Analysis,
% availabl... |
97b20985854400f95c51dda08f2dba24067d50552a558d711372cbfea9a2a881 | MATLAB | 717 | 13 | zef.fields_to_be_removed = {'gpu_count','compartment_activity','start_mode','colormap_cell','path_cell','use_display','current_version','matfile_object','zeffiro_restart','verbose_mode','use_waitbar','zeffiro_task_id'};
zef.ini_cell = readcell([zef.program_path '/profile/zeffiro_interface.ini'],'FileType','text');
zef... |
e166df9670ba95c9bf3ee61c76051aef514d9909783687625e8ca01102bf5368 | MATLAB | 719 | 29 | function preview_s_lambda_button_pushed(app)
sLambda = app.AddStructuresPreviewField.Value;
temp_params = app.params;
[temp_params] = addSpecificStructure(temp_params, sLambda);
learned_structure = temp_params.learned_structures{end};
xLimits = [1 size(learned_structure,1)];
yLimits = [1 size(learned_structure,2)... |
0a68502d105bc21155f8ff3a17456a81abb60fa72652a77aecb3bd723ac59091 | MATLAB | 720 | 28 | function nhist = spike_hist(fs_spike, Twin, Nmax, Nspike)
% Poisson distribution histogram
% spike_hist(fs_spike, Twin, Nmax, Nspike)
% ---
% fs_spike : spike firing freq [Hz]
% Twin : time window length [sec]
% --- optional
% Nmax : max number of spikes in Twin
% Nspike : total number of spikes
%... |
8869d351cfb2278d976da080183e4adf974dca98de82760ef59b75f378e50388 | MATLAB | 720 | 35 | function [pruned_hmm,fe,fehist] = chain_dropstates(hmm,X,T,verbose)
% pruned_hmm: best model of the chain
% fe: free energy of pruned_hmm
% fehist: history of all the chain
K = length(hmm.state);
fehist = []; fe = []; pruned_hmm = hmm;
if nargin<4, verbose = 0; end
if K==2
return
end
fe = Inf;
for k = 1:K
[... |
d29aabc652907ca298e8b178d31bec6ae54fffcd57dd92d022ed1daf850ab2d5 | MATLAB | 720 | 25 | % THIS FUNCTION IS PRIVATE AND SHOULD NOT BE CALLED BY OUTSIDE CODE!
%
function [res] = DoFastQueryCmd( sm, cmd )
ok = CalinsNetMex( 'sendstring', sm.handle, sprintf( '%s\n', cmd ) );
if( isempty( ok ) )
error( '[%s] error: cannot send string.', cmd );
end
lines = CalinsNetMex( 'readlines', s... |
d03bd359bdf1c4a9cfd5898c1a6a90e01760c192ff975a40f0f338353639c792 | MATLAB | 722 | 17 | function [y_vals, plot_mode] = zef_dtw_mean_scaling(time_series)
%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 via the ZI user... |
f4326563a80f0216836d55f23ceeb892c23eca5e7b24954b712e6584ba950d8f | MATLAB | 722 | 25 | function vecVals = getMatVals(matGrid,vecRow,vecCol)
%getMatVals Description
%
% SYNTAX
% vecVals = getMatVals(matGrid,vecRow,vecCol)
%
% INPUT
% matGrid: data matrix (2D)
% vecRow: vector that determines in which row the corresponding value of
% vecVals will be entered
% vecCol: vector that d... |
5c2f8241aa4a231bf084d3c6fb9814ced62ec28cde05743a0761d11785aca8d1 | MATLAB | 723 | 20 |
% ChatGPT was used to assist writing code. The authors reviewed, edited, and take full responsibility for the content.
% Add path to the location of reference-feature-extraction
addpath("/Podcast/Encoding_v5/Feature_Codes/reference-feature-extraction")
% Change this path to the location of podcast.wav
[wav, fs] = au... |
7a7d9d2747acfded73149d1a7518c1a8d831086b098983ae6d95ad229a334a14 | MATLAB | 723 | 24 | function c = blackgreen(m)
%blackgreen Shades of green color map
% blackgreen(M), is an M-by-3 matrix that defines a colormap.
% The colors begin with bright blue, range through shades of
% blue to white, and then through shades of red to bright red.
% redgreen, by itself, is the same length as the current f... |
923f0f918c2b127c76780216259465323447845e67e822729e53ea710198d4c3 | MATLAB | 723 | 30 | function [W C] = fgda(Ctrain,Ytrain,METHOD_MEAN,ARG_MEAN,METHOD_COV,ARG_COV)
labels = unique(Ytrain);
Nclass = length(labels);
C = mean_covariances(Ctrain,METHOD_MEAN,ARG_MEAN);
Strain = Tangent_space(Ctrain,C);
Nelec = size(Strain,1);
mu = zeros(Nelec,Nclass);
Covclass = zeros(Nelec,Nelec,Nclass);
for ... |
1368b327ea4bdc3032ba0afed43dde6b25d2cc9787cef9efc4703c4cbf654524 | MATLAB | 724 | 23 | function c = greenwhite(m)
%REDBLUE Shades of red and blue color map
% REDBLUE(M), is an M-by-3 matrix that defines a colormap.
% The colors begin with bright blue, range through shades of
% blue to white, and then through shades of red to bright red.
% REDBLUE, by itself, is the same length as the curr... |
6df446f9af44a6420dab1191e26a5e5727fe9fa2fd32a8735538c8dd91de66ef | MATLAB | 724 | 15 | function generate_pattern_completion_scatter(app)
app.pattern_completion_scatter = axes('Parent', app.PCNScatter, 'Units', 'pixels',...
'OuterPosition', [106.4000 93.4000 573.1000 560.3000], 'InnerPosition', [67 58 621 615],...
'Box', 'on');
set_common_plo... |
bc56a7809f318a51ccb865357a0d35a50b76615b2d1a43496b609ae15504dfd8 | MATLAB | 724 | 28 | function vecMahal=getMahal(matThisData,vecMu,matThisCovInv)
%UNTITLED8 Summary of this function goes here
% Detailed explanation goes here
%get number of trials
intTrials=size(matThisData,1);
%loop is faster....
vecMahal=nan(1,intTrials);
for intTrial = 1:intTrials %can be used as parfor
vecXY = (matTh... |
d10defe3b28d7035048525c04c30a8b4d95e52d1776eb5b018ca66edcc50bb98 | MATLAB | 724 | 17 | function [y_vals, plot_mode] = zef_dtw_max_scaling(time_series)
%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 via the ZI user ... |
d20f8b85a54633496f123c0d07dbb4b63e4fbf5461107f95df7496837ba77e06 | MATLAB | 724 | 19 | function zef_parcellation_roi_plot(zef)
[s_x,s_y,s_z] = sphere(100);
h_axes1 = zef.h_axes1;
hold(h_axes1,'on');
h_parcellation_roi_sphere = findobj(h_axes1,'Tag','additional: parcellation roi');
delete(h_parcellation_roi_sphere);
for i = 1 : size(zef.parcellation_roi_center,1)
s_x_2 = zef.parcellation_roi_radius(i)*s_... |
97d57193a922974655cec00f97aecd78235a94ded7807a1ce1ab40c92d649782 | MATLAB | 726 | 27 | function indUseFiles = ETO_CheckSelection(sFigETO)
%get checked
if isfield(sFigETO,'sPointers') && isfield(sFigETO.sPointers,'CheckRun')
indUseFiles = cellfun(@(x) x.Value==1,{sFigETO.sPointers.CheckRun});
else
indUseFiles = [];
end
%check if any
if ~any(indUseFiles)
ptrMsg = dialog('Position',[600 400 25... |
fd7e9878f029ad26e9adb9df99403a1c7983ed23800110c36f41511dd9cd6256 | MATLAB | 726 | 16 | function vecNewIdx = groupInto(cellOldNames,cellGroupInto)
%groupInto Groups names in cellOldNames into groups defined by cellGroupInto
% vecNewIdx = groupInto(cellOldNames,cellGroupInto)
[cellUnique,a,vecOldIdx] = unique(cellOldNames);
cellGrouped = cellfun(@(x,y) find(contains(x,y,'IgnoreCase',true)),cellfill(c... |
0d66b15d953929591a63ff6386f979d2f4ee0f563c9802507e610814bbb10f88 | MATLAB | 731 | 21 | function m = nanprod(x,dim)
%NANPROD Product over x, ignoring NaNs.
% M = NANPROD(X) returns the sample prod of X, treating NaNs as missing
% values. For vector input, M is the prod value of the non-NaN elements
% in X. For matrix input, M is a row vector containing the prod value of
% non-NaN elements i... |
3bf7c2ed8766430594c3d2a14045bd82aac6c2695d8d3a3a8c1aa6e43f11791d | MATLAB | 732 | 29 | function [triangles_out] = zef_triangles_2_sensor_boundary(zef,compartment_tag,triangles_in)
triangles_out = [];
points_ind = [];
if isfield(zef,[zef.current_sensors '_boundary_cell'])
boundary_cell = zef.([zef.current_sensors '_boundary_cell']);
points_ind = zeros(length(boundary_cell)+1,1);
... |
6147c57f8317a1b92f5ba9d99231482532e3b6dd0e8e5ed63376d36276c530be | MATLAB | 732 | 23 | function dblValue = getFractionalEntry(vecList,dblFractionalEntry)
%getFractionalEntry Returns fractional entry from input list
% dblValue = getFractionalEntry(vecList,dblFractionalEntry)
%
%Inputs:
% - vecList; [1 x N] data vector
% - dblFractionalEntry; [scalar] fractional entry (e.g., 2.345)
%
%Output:
% - ... |
1e6d164d1ffe92aabe5cc52ee257b4787c68b7e3cfffd56df509964642fc1cad | MATLAB | 735 | 29 | function zef = zef_set_position(zef)
if nargin == 0
zef = evalin('base','zef');
end
position_vec = zef.h_zeffiro_window_main.Position;
if zef.h_segmentation_tool_toggle.UserData == 1
position_vec(3) = 0.505*position_vec(3);
end
zef.ini_cell = readcell([zef.program_path '/profile/zeffiro_interface.ini'],'File... |
89048c3375b8033a5cf1a95a3ff30b85910fcaf2980520dfce9d689b1130c1a3 | MATLAB | 735 | 32 | %%% Gives individual SEM and p value for difference in mean of unpaired
%%% distributions
function [p, sem1, sem2] = bootstrap_p_sem_unpaired(x,y)
n = length(x);
m = length(y);
t = ( mean(x) - mean(y) ) / sqrt( var(x)/n + var(y)/m );
z = [x y];
itr_num = 1000000;
t2 = zer... |
f351fb99a235e76a9dde67c59bc5c20ef06b182e5b503eca33bd4b8c4eae4ff1 | MATLAB | 736 | 29 | function rids = realign_all_niftis(outputfolder, suffix)
%% main
if nargin < 1
outputfolder = '/data2/MRI_PET_DATA/processed_images_final';
end
if nargin < 2
suffix = '';
end
MRI_folder_init = ['/data2/MRI_PET_DATA/raw_data/MRI_nii' suffix filesep];
fnames = dir(MRI_folder_init);
fnames = {fnames.name};
rids =... |
875070408ed40961a41a569342e2412a477e3bb45ceb2b632568ff5a0a9fa744 | MATLAB | 737 | 30 | function [out] = sw_rem_temporary_data(opt)
% function to remove temporary data from data directories
temp_dat_fns={'_bandpass', '_widepass', '_mfigure'};
warning off all
if isfield(opt,'pat')
fn0= [opt.pat opt.fn '_' opt.detect '_bandpass.mat'];
else
fn0='';
end
fns=dir(opt.pat);
for i=1:3
for ... |
d026e6f24e04cd015c210debdd8226ce232978b4bb18add79434447d1e488d95 | MATLAB | 737 | 16 | function zef = zef_update_parameter_distributions(zef)
parameter_profile = eval('zef.parameter_profile');
for zef_j = 1 : size(parameter_profile,1)
if isequal(parameter_profile{zef_j,8},'Segmentation') && isequal(parameter_profile{zef_j,3},'Scalar') && isequal(parameter_profile{zef_j,6},'On')
eval(['zef.'... |
06eba5f59f1f1aebaf664afeaa1cbc2e0b9d1c0f35ea96ef258e0718e9179931 | MATLAB | 738 | 27 | function [prediction] = make_predictions(frames, num_udf, best_model)
[num_frames, num_nodes] = size(frames);
node_potentials = best_model.theta.node_potentials;
edge_potentials = best_model.theta.edge_potentials;
z = exp(best_model.theta.logZ);
cp_udf = zeros(num_frames, num_udf);
udf_nodes = num_nodes+1-num_udf:... |
f2475627421be4d72718e53d1c93fe807d341315d5091ae02833a4d83f45e4da | MATLAB | 738 | 12 | function [colormap_vec] = zef_contrast_4_colormap(colortune_param, colormap_size)
c_aux_1 = floor(colormap_size - colortune_param*colormap_size/2);
colormap_vec = [10*(colormap_size/3)*[c_aux_1:-1:1]/c_aux_1 zeros(1,colormap_size-c_aux_1); 3*(colormap_size/3)*[1: c_aux_1]/c_aux_1 3*(colormap_size/3)*[colormap_size-c_a... |
20fda0d1d31d796fa379fb33b7aa7a7a26ca6964b491de65243db43f84f9879e | MATLAB | 739 | 25 | function result = isdiagonalizable(C)
%% function result = isdiagonalizable(C)
%
% Quick check of whether the connectivity matrix is diagonlizable
%
% Inputs:
% - C - connectivity matrix to check
%
%% Linear Sync Toolkit (linsync)
% Copyright (C) 2023 Joseph T. Lizier
% Distributed under GNU General Public License v3
... |
2c2b8346abd41623d5c968ebed2ce40a462e5502b60699c82e6f796879930058 | MATLAB | 739 | 33 | function [m, P, K, D] = kf_sL_update_approx(m,P,y,H,R)
% Approximating the inverse of square root matrix
N = 5; M = 1;
Z = eye(length(m));
Y = P;
invY = Z;
invZ = Z;
for n = 1:N
for k = 1:M
invY = 2*invY-invY*Y*invY;
invZ = 2*invZ-invZ*Z*invZ;
end
... |
61c512efb05ee9e606d564a4599290a102fac9ddeadd4ccc45c97f2c9555f0c0 | MATLAB | 740 | 22 |
%%%% design a Chebyshev-Type-II bandpass ( f1 to f2 Hz) filter
function Hd = bandp_filter(f1, f2, fs)
Fstop1 = f1-0.3; % First Stopband Frequency
Fpass1 = f1; % First Passband Frequency
Fpass2 = f2; % Second Passband Frequency
Fstop2 = f2+0.3; % Second Stopband Frequency
A... |
6a7a0eade4f151cc62813c998cfac030890d60793e1942e38bb47450c9dc268a | MATLAB | 740 | 28 | function zef = zef_delete_all_compartments(zef)
if nargin == 0
zef = evalin('base','zef');
end
if not(isempty(zef.h_compartment_table.Data))
for zef_i = 1 : length(zef.h_compartment_table.Data(:,2))
zef.h_compartment_table.Data{zef_i,2} = 0;
end
for zef_i = 1 : length(zef.h_sensors_table.Data(... |
64eb3c781dcecb1c1f6d7d10694e9e5f1a4b49f8461dba82afe8fe1717e21583 | MATLAB | 742 | 34 | %% Copyright © 2025- Joonas Lahtinen
function self = initialize(self,L,f_data)
%
% initialization function
%
% Initialize recursively updated variables before the computation of
% the first time step.
%
% Inputs:
%
% - self
%
% An instance of CSMInverter with the method-spe... |
070cd50ea06c3eebd76a2e7b892c491f14d823d3adc0701bf26192fdeebb6f82 | MATLAB | 743 | 23 | if ~isempty(strfind(fsub,'.mat'))
dat = load(fsub);
if isfield(dat,'X')
X = dat.X;
else
X = getfield(dat,char(fieldnames(dat)));
end
clear dat
elseif ~isempty(strfind(fsub,'.txt'))
X = dlmread(fsub);
else % no extension - assumed to be an SPM file
try % Note that we are not t... |
27633fccb97ba0f9b497bb50f1934146e5429f55fe874c762a679488c3930fce | MATLAB | 743 | 25 | function [model_stats] = characterize_learned_models(models)
last_model = models{end};
last_model = rmfield(last_model, "structure");
last_model = rmfield(last_model, "absolute");
last_model = rmfield(last_model, "converged");
last_model = rmfield(last_model, "pending_parameter_estimation");
last_model = rmfield(last_... |
94014d2002c219e49a6889c49b99c55c2b4ff05b81f61dd6724dee4065fc5df5 | MATLAB | 743 | 29 |
function zef_nse_plot_signal_pulse(zef, nse_field)
h_axes = zef.h_axes1;
axes(h_axes);
c_map = lines(1);
c_map = c_map + 0.1;
c_map = c_map/max(c_map(:));
mmhg_conversion = 101325/760;
plot_data_time = [0:nse_field.time_step_length:nse_field.cycle_length];
plot_vec = zef_nse_signal_pulse(plot_data_time,nse_field... |
49c7730cb7c47745ddb6fd56bbee677d08c5792d12c3a8c84c231b97b0a565c4 | MATLAB | 744 | 27 | function obj = stats_coverage(obj)
% Calculate coverage of microstates
% Check inputs
if isempty(obj.label)
error('To calculation microstate coverage, property label is required')
end
% Number of states
if ~isempty(obj.maps)
Nstates = size(obj.maps,2) ;
else
... |
9c270e82172e628b2ba9ca6cddde62e94a7c506b6e63da90a6983241d282c5bd | MATLAB | 745 | 18 | function generate_parameter_space_structural_learning(app)
app.parameter_space_structural_learning = axes('Parent',...
app.ParameterSpacePanel_SL, 'Units', 'pixels', 'OuterPosition',...
[15 9 235 200], 'InnerPosition',...
[36.7333 33.7333 205.7667 164.9667], 'Box', 'on');
app.parameter_space_structural... |
20cc2447bba1e8d33ba3014605c2bfa08e2c005f4e83bf3fc06ed26b9eed0420 | MATLAB | 746 | 18 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [void] = zef_color_label(tag_str)
void = [];
switch_val_1 = evalin('base',['zef.' tag_str '_on']);
switch_val_2 = evalin('base',['zef.' tag_str '_visible']);
if isvalid(evalin('base','zef.h... |
0fa89ce8843b5d7c8f4d305e4d35ce618df80b4548ebeb177d3db173594b4be8 | MATLAB | 747 | 31 | function [Ytest d C] = mdm(COVtest,COVtrain,Ytrain,varargin)
if isempty(varargin)
method_mean = 'riemann';
method_dist = 'riemann';
else
method_mean = varargin{1};
method_dist = varargin{2};
end
labels = unique(Ytrain);
Nclass = length(labels);
C = cell(... |
0a3f2c97a4580df01c2ef5d199790eb46936ec49b428d3b47977acc9a1cf1ee8 | MATLAB | 748 | 26 | function err = shape_error(data,Model,parm)
Ntau = length(Model.tau);
decayRate = 100;
[tpeak, gpeak, tdecay] = spike_func_peak(parm.tau, decayRate);
Nt = ceil(tdecay*parm.fs);
dt = 1/parm.fs;
data_eval.dt = dt;
data_eval.Dt = 0;
data_eval.y = zeros(1,Nt);
switch Ntau
case 2
g1 = spike_func_evalua... |
202110eb0dcff6622d8497eded2ab810165c6e0c45ff6f2267ff208669cccbd8 | MATLAB | 748 | 24 | function ET_SwitchRecordVideo(strSelected)
%% globals
global sET
global sEyeFig
%% update switch
if strcmpi(strSelected,'On')
if isfield(sET,'objVidWriter') && isprop(sET.objVidWriter,'Filename') && ~isempty(sET.objVidWriter.Filename)
sET.boolSaveToDisk = true;
open(sET.objVidWriter);
if isfield(sET,'... |
1193fac6d8d26190acb2a86993904c07becd829b38194dbca1869d9d941b69ab | MATLAB | 749 | 35 | function self = initialize(self,L,f_data)
%
% initialization function
%
% Initialize recursively updated variables before the computation of
% the first time step.
%
% Inputs:
%
% - self
%
% An instance of DipoleScanInverter with the method-specific parameters.
%
% ... |
47765a68936f1fd46123213712a0196cda96912c0915ff29345114247940194f | MATLAB | 749 | 31 | function [p,z] = bino2test(k1,n1,k2,n2,boolForceFloat)
%bino2test Two-sample binomial test
% [p,z] = bino2test(k1,n1,k2,n2)
%input
if nargin==1
vecIn = k1;
k1 = vecIn(1);
n1 = vecIn(2);
k2 = vecIn(3);
n2 = vecIn(4);
end
if ~exist('boolForceFloat','var')
boolForceFloat = false;
end
if ~boolForceFl... |
7abbae08716e46dc74c4818eac99eb7833f989bfa2b1d6619235d0fd78d3dc92 | MATLAB | 750 | 17 | function [colormap_vec] = zef_easter_colormap(colortune_param,colormap_size)
c_aux_1 = floor(colormap_size/2);
colormap_vec = zeros(colormap_size,3);
colormap_vec(1:c_aux_1+1,:) = [zeros(c_aux_1+1,1),2*(1:c_aux_1+1)',3*(c_aux_1:-1:0)'];
c_aux_2 = c_aux_1+floor(colormap_size/4);
c_aux_1 = c_aux_1+1;
colormap_vec(c_aux_... |
94e9034e8c8d4683b322a86f42959233937254b39c98906cfcc51aba87ac7ff0 | MATLAB | 750 | 38 | function visualize_classification(opts)
change_current_figure(opts.hand); clf;
stats = opts.stats;
epoch = opts.epoch;
plots = setdiff(cat(2, fieldnames(stats.train)', fieldnames(stats.val)'), {'num', 'time'}) ;
for p = plots
p = char(p) ;
values = zeros(0, epoch) ;
leg = {} ;
for f = {'train', 'val'}
... |
c32f52c621358086c983573924bfb7957ffade0cf80ad66d1d26803acd0ac456 | MATLAB | 750 | 26 | function I = localperm(N,R)
% I = localperm(N,R)
% I is a random permutation of the integers from 1:N. However,
% unlike RANDPERM, the indices remain somewhat local.
% Specifically, the displacement I(x) - x has a gaussian
% distribution with standard deviation R.
% 2010-11-13 Dan Ellis dpwe@ee.columbia.ed... |
87dc23b928bcd54de183caf4a28a4898d6ec7ec266f18d6d0d88b76b171af87e | MATLAB | 751 | 20 | % OV_MATLAB toolkit
% OV_setSignalInputHeader.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
% Set the header information on a signal input.
function box_out = OV_setSignalInputHeader(box_in, input_index, nb_channel, nb_samples_per_buffer, channel_names, sampling_rate)
... |
62aba42a6c806aa03211b6cf962af54eab8c90157220668addc2bc303add3113 | MATLAB | 752 | 32 | function zef = zef_dataBank_init(zef)
if nargin == 0
zef = evalin('base','zef')
end
if not(isfield(zef.dataBank,'var_starttime'))
zef.dataBank.var_starttime = 0;
end
if not(isfield(zef.dataBank,'var_endtime'))
zef.dataBank.var_endtime = 0;
end
if not(isfield(zef.dataBank,'workingHashes'))
zef.dataBa... |
a758b4c098a52997ff78208eee56da6d9ad6f70fa6e510863b4c7bdb59bcd44c | MATLAB | 752 | 20 | % if data is a cell, transform into matrix format
if iscell(data)
if size(data,1)==1, data = data'; end
if iscellstr(data) % if comes in file name format
dfilenames = data; t0 = 0;
for i = 1:length(dfilenames)
fsub = dfilenames{i};
loadfile_sub;
if i==1, data ... |
f372b58d94b99307cd16559262efd2207600082c7de078901252aa8af78a50dc | MATLAB | 752 | 27 | % THIS FUNCTION IS PRIVATE AND SHOULD NOT BE CALLED BY OUTSIDE CODE!
%
function [res] = DoQueryCmd( sm, cmd )
ChkConn( sm );
ok = CalinsNetMex( 'sendstring', sm.handle, sprintf( '%s\n', cmd ) );
if( isempty( ok ) )
error( '[%s] error: cannot send string.', cmd );
end
lines = CalinsNetMex... |
0b801de8c535504afbd028ac6f16370d55300fd71d8da3a2ae4e584e6d06d4b8 | MATLAB | 753 | 34 | function slider_value_new = zef_update_transparency_cones(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_figure,... |
0cf1de74eced9873d259cd92705cd6d3a07cce1e281fe6b8418bdde501f85b9d | MATLAB | 753 | 56 | function v = zef_volume_scalar_vector(nodes, tetra, scalar_field, weighting)
%
% zef_volume_scalar_vector
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% - weighting
%
% TODO: explanation.
%
% ... |
3b237d6b047ed598e4d0c0cb330262eb8b4abb21675aec91a93565942e38c016 | MATLAB | 753 | 30 | function [P,T,L,r,centerX,cX]=classSVD(x);
%CLASSSVD performs the singular value decomposition of a matrix with more
% rows than columns (uses svd.m)
%
% Required input:
% x : data matrix of size n by p where n>p
%
% This function is part of LIBRA: the Matlab Library for Robust Analysis,
% available at:
% ... |
bc83572f9d42fdeb9037caea4be5b4ab9ab98c1eaf975bc03767b18bbb9518c2 | MATLAB | 753 | 17 |
h_axes = gca;
if isempty(findobj(allchild(h_axes),'Type','DataTip'))~=1
h_datatip = findobj(allchild(h_axes),'Type','DataTip');
zef.nse_field.nvc_source_x = [];
zef.nse_field.nvc_source_y = [];
zef.nse_field.nvc_source_z = [];
for i=1:size(h_datatip)
zef.nse_field.nvc_source_x = [zef.nse_field.... |
4ac81c5463664bda650647374d49f62a179fd92e79a467a4c390d8428655da49 | MATLAB | 754 | 35 | % Implementation of shrinkage covariance matrices as describes in :
% [1] B. Blankertz, S. Lemm, M. Treder, S. Haufe, et K. Müller,
% “Single-trial analysis and classification of ERP components - A tutorial,”
% NeuroImage, Jun. 2010.
function [Cov gamma] = shcov(X)
N = size(X,2);
T = size(X,1);
% Classical covaria... |
5be1382fbb93fd11ccea8030066124ee9ab119bc2ba2499e2eac18f3649a6d43 | MATLAB | 755 | 25 | function sqnorm = multisqnorm(A)
% Returns the squared Frobenius norms of the slices of a 3D matrix.
%
% function sqnorm = multisqnorm(A)
%
% Given a 3-dimensional matrix A of size n-by-m-by-N, returns a column
% vector of length N such that sqnorm(i) = norm(A(:, :, i), 'fro')^2.
%
% See also: multiprod multitransp mul... |
1328b57506ba80710a5916a6d4ec2ae69b9c84623833a469745f607f256bc440 | MATLAB | 756 | 24 | % openvibe toolbox for Matlab
% OV_getSignalOutputHeader.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, dynamic] = OV_getChannelLocalisationOutpu... |
15ee05a48ed69d37d91e95754e27768fd8bda970e4cba12d02d050a6e8be455b | MATLAB | 756 | 19 | function generate_node_performance_distribution(app)
app.node_performance_distribution = axes('Parent', app.NodePerformance_IDENS, 'Units', 'pixels',...
'OuterPosition', [ 21 19 410 440], 'InnerPosition', [60.4000 54.4000 362.1000 385.3000],...
'Box', 'on');
... |
9ae81463abe65b47933138852b2741446b9fd7fd2cbe79155bd6041be30cf3b9 | MATLAB | 756 | 26 | function zef_git_push(my_key,varargin)
message = '"Regular push."';
if not(isempty(varargin))
zef_i = 1;
while zef_i <= length(varargin)
aux_var = varargin {zef_i + 1};
if isequal(varargin {zef_i},'message')
aux_var = char(join(string(aux_var)));
end
eval([varargin{... |
b769f0f24546e9e18a7b3ca2327b11dc5091c24eeba14841b9cc2168f450fd0d | MATLAB | 756 | 45 | function mfiles = get_mfile_paths(folder)
%
% get_mfile_paths
%
% Returns a list of Matlab code file paths in a given folder and its
% subdirectories.
%
% Inputs:
%
% - folder
%
% The root folder from which the m-files are to be searched from.
%
% Outputs:
%
% - mfiles
%
% The paths to the located m-files.
%
a... |
0eb39164c0b24832609b05ab7d8fade589af22e83e8f3dec04abfc49d08836bd | MATLAB | 757 | 34 | function slider_value_new = zef_update_transparency_sensor(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_figure... |
82432174b505393eadafab24288b496ee32bfee5d6b9bba9a117d6f741730872 | MATLAB | 758 | 24 |
%% set options
sOptions = struct;
sOptions.Solver='lsqcurvefit';
sOptions.MaxIterations = 1000;
%% no gauss
vecY = vecActivity;
cellCoeffs01 = {0,0,0,0,0,0};
[cellCoeffs1,matOutX,cellBasisFunctions,vecLinCoeffs,vecLinCoeffFunctions] = gnmfit(matX,vecY,cellCoeffs01,sOptions);
vecPredY1 = gnmval(cellCoeffs1,matOutX,cel... |
98727bcb57e22781f5f3d895c41f5d178add432588008de2898aa8cc54a73df9 | MATLAB | 758 | 33 | function slider_value_new = zef_update_transparency_surface(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_figur... |
aa8fced663d7628274ba458b301d07b0921c7d35add18bac56a0ee5e85af8540 | MATLAB | 758 | 10 | function direction = zef_nse_vel_dir(zef,nse_field)
% roi_ind = zef_nse_roi_ind(str2double(zef.nse_field.h_roi_x),str2double(zef.nse_field.h_roi_y),str2double(zef.nse_field.h_roi_z));
roi_ind = find(sqrt(sum((zef.source_positions - repmat([str2double(nse_field.h_roi_x.Value) str2double(nse_field.h_roi_y.Value) str2dou... |
446df47b825d768b690f9b4808d92bdb84f3b86efa2c11f58c9350361b242bea | MATLAB | 759 | 29 | function [gcc] = find_global_cluster_coeff(graph_structure)
% Function for finding global cluster coefficient
% Shuting Han Date Unknown, adapted Darik O'Neil 05/18/2022
num_node = size(graph_structure,1);
num_tric = 0;
num_ftric = 0;
% make sure the diagnal is zero
graph_structure = graph_structure-diag(diag(grap... |
6419da26433d047311cc5bc292f9502d9db6e3c6359f35b16464fc8f7e7f3a3b | MATLAB | 759 | 17 | function generate_node_weight_parameter_estimation(app)
app.node_weight_parameter_estimation = axes('Parent', app.Potentials_PE, 'Units', 'pixels',...
'OuterPosition', [21 19 420 190], 'InnerPosition', [60.4000 54.4000 372.1000 135.3000],...
'Box', 'on');
set_common_plot_s... |
aedc11428691a102555a3d21fcfe6f8e1ad667b95b5cdf67d737779df2a88566 | MATLAB | 759 | 31 | function specular_val = zef_update_specular(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_figure,'Children'),'... |
fc3470cb8bf64a3feb852b122a57ea5af6b0394375a9fdf296205548f20dce12 | MATLAB | 759 | 24 | training_data_file_name = '';
credibility_data_file_name = 'credibility_dataset_p0857_10dB';
project_file_name = '~/Dropbox/ResearchData/PerEpi_material/Patients/p0803.mat';
supervised_clustering = 'on';
frame_number = 1;
max_iter = 10000;
training_data_size = 50;
snr_vec = [10];
frame_number = 1;
cred_val_rec = 0.95;... |
0b6dbfeaf2f44d8365a3a3f91a734c5f0614c24a7359d2c611af34d24165e7bd | MATLAB | 760 | 32 | function [x_sil y_sil] = removeSilentFrames(x, y, range, N, K)
x = x(:);
y = y(:);
frames = 1:K:(length(x)-N);
w = hanning(N);
msk = zeros(size(frames));
for j = 1:length(frames)
jj = frames(j):(frames(j)+N-1);
msk(j) = 20*log10(norm(x(jj).*w)./sqrt(N));
end
msk = (msk-max(m... |
6d1283c865205c5201d67ec96c395873babf96571897f5d1e21f4d5de6406c82 | MATLAB | 760 | 32 | if zef.current_version <= 2.2
for zef_i = 1 : 22
eval(['zef.d' num2str(zef_i) '_priority =' num2str(28-zef_i) ';']);
end
end
clear zef_i
if zef.current_version < 4
if isempty(zef.active_compartment_ind) && isfield(zef,'brain_ind')
zef.active_compartment_ind = zef.brain_ind;
end
i... |
6d705d4ea93c131a16423a78afd82d248c5188912961030a47cf0d192924c0a8 | MATLAB | 762 | 37 | function self = initialize(self,L,f_data)
%
% initialization function
%
% Initialize recursively updated variables before the computation of
% the first time step.
%
% Inputs:
%
% - self
%
% An instance of RAMUSInverter with the method-specific parameters.
%
% Outpu... |
184e571124ec401d863861b4c90a48088a047eed8e9be882d4b55b3b4df3bb32 | MATLAB | 763 | 33 | function ambience_val = zef_update_ambience(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_figure,'Children'),'... |
82d1748350c2d32101658198c6354ce17da2fe5422d97c4aef8238bcfa77f3b4 | MATLAB | 763 | 31 | function diffusion_val = zef_update_diffusion(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_figure,'Children')... |
b88ecc0d4bc647c1baa0c0fe61238381f97c30225cc094232bab92f928e6f14e | MATLAB | 763 | 35 | function zef = zef_dataBank_getHasForMenu(zef)
if nargin == 0
zef = evalin('base','zef');
end
if isempty(zef.dataBank.app.Tree.SelectedNodes) %either no selected or no node in tree, either way start on first level
disp('please select nodes');
return;
else
if size(zef.dataBank.app.Tree.SelectedNodes,... |
4ddb22ba6dfde8b05ce9e1b1fb430b523365c5b3f6f2979e5967b91e93a75438 | MATLAB | 764 | 12 | function [colormap_vec] = zef_contrast_3_colormap(colortune_param, colormap_size)
c_aux_1 = floor(colormap_size - colortune_param*colormap_size/2);
colormap_vec = [10*(colormap_size/3)*[c_aux_1:-1:1]/c_aux_1 zeros(1,colormap_size-c_aux_1); 3*(colormap_size/3)*[1: c_aux_1]/c_aux_1 3*(colormap_size/3)*[colormap_size-c_a... |
70275924ad5cead1d17b93ee536e7975b2b052877124a18c9608c3141e11a01e | MATLAB | 764 | 32 | function [x_sil, y_sil] = removeSilentFrames(x, y, range, N, K)
x = x(:);
y = y(:);
frames = 1:K:(length(x)-N);
w = ml_hanning(N);
msk = zeros(size(frames));
for j = 1:length(frames)
jj = frames(j):(frames(j)+N-1);
msk(j) = 20*log10(norm(x(jj).*w)./sqrt(N));
end
msk = (msk-m... |
92295965c61d099d6e72653fc785523b2cc7540913acf34c32b38477e529b544 | MATLAB | 764 | 14 | function [colormap_vec] = zef_intensity_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 = zeros(3,colormap_size);
colormap_vec(1,:) =10*([colormap_size:-1:1]/colormap_size);
colormap_vec(2,:) = ... |
cc8b6ecc85d0a7fb44bc54fd2afbd775faee760266922f98d6c7db966fef7546 | MATLAB | 764 | 33 | function zef_nse_plot_sphere(h_axes,nse_field)
if nargin == 0
h_axes = evalin('base','gca');
nse_field = evalin('base','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');
delete(h_sphere... |
487232c20d81dc9f2efbffb91693ebb2664b893e7d5b8313fb44e0358b1dfaab | MATLAB | 765 | 14 | function [colormap_vec] = zef_intensity_3_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 = zeros(3,colormap_size);
colormap_vec(3,:) = 10*([colormap_size:-1:1]/colormap_size);
colormap_vec(2,:) =... |
9ca53d3fcc576be25c913c7fbcf9a557c1149940e5794827576b5222cd10514f | MATLAB | 765 | 14 | function [colormap_vec] = zef_intensity_2_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 = zeros(3,colormap_size);
colormap_vec(2,:) = 10*([colormap_size:-1:1]/colormap_size);
colormap_vec(1,:) =... |
8314034c1fc2893fc0c4f54f9966692d3938b4dcda235496d6f6a4da6ae5cd0b | MATLAB | 767 | 25 | function [htest,P,rank] = bsliang_permutationtest(Morgi,Mi,alpha,tail)
% do permutation test
Mi_Morgi=[Mi,Morgi];
nBOOT=length(Mi);
if isequal(tail,'both')
if Morgi<mean(Mi,'omitnan')
Mi_Morgi=sort(Mi_Morgi);
rank=find(Mi_Morgi==Morgi,1);
P=(rank+1)/(nBOOT+1);
elseif Morgi>mean(... |
221a8df4981f79ef0843d352eaa6494c15dcc0c23441977c3e1153f52eb36eba | MATLAB | 768 | 25 | function bad_samples = artifacts_json2badsamples(filename)
artfctdef_jsonstr = fileread(filename) ;
artfctdef = jsondecode(artfctdef_jsonstr) ;
bad_samples = [] ;
for mthd = {'clip','jump','zscore'}
[m,artfctdef] = size_artfctdef(artfctdef,mthd{1}) ;
for i = 1:m
bad_samples = [bad_samples , (artfctd... |
45b7fae5cc1ff36c56bc8ee79d507efb96328112a9dee86aaf7696760bf4cf73 | MATLAB | 768 | 15 | function generate_edge_weight_parameter_estimation(app)
app.edge_weight_parameter_estimation = axes('Parent', app.Potentials_PE, 'Units', 'pixels',...
'OuterPosition', [481 19 420 190], 'InnerPosition', [520.4000 54.4000 372.1000 135.3000],...
'Box', 'on');
s... |
8911d18b4b09a4ef9703758d6e2ca90ba8bf08d1e32b5407e77b04b6a154fc89 | MATLAB | 768 | 35 | %### If you have a vocal it has 2 columns so please modify code based on
%line 15 or 24, one of them must be used when you want to normalize
[x, fs] = audioread('nonmarmoset4.wav');
y= abs(max(x));
ampMax= y(1);
t=linspace(0,length(x)/fs,length(x));
plot(t,x)
xlabel('time')
ylabel('x[n]')
hold on
%%
%###... |
e7e7763aac34adf640c4386d714aa3199b7fa10380e87a31747024ba4d3d1812 | MATLAB | 768 | 31 |
%--------------------------------------------------------------------------------
% softmax_b.m
%
% This demo is included in
% Triple equivalence for the emergence of biological intelligence
% Takuya Isomura
%
% The MATLAB scripts are available at
% https://github.com/takuyaisomura/reverse_engineering
%
% Copyright (C... |
2ae470f14589120b0791afb4e7a2f79840521b70e79df2754cff5d2e8fd56675 | MATLAB | 769 | 46 | function indent_mfiles ( filename )
%
% indent_mfile
%
% Programmatically indents a given Matlab source file. Requires that Java is
% available, meaning Matlab cannot be started with -nodesktop.
%
% NOTE 1: this function requires that Matlab was opened with the Java
% components enabled.
%
% Inputs:
%
% - filename
%
% ... |
acf67c78889c83e1d16195d1ccb9446214e3771ea7468d5401286d65789acc1c | MATLAB | 769 | 24 | function vecGaussian = getGaussian(params,xVector)
%singleGaussian builds a Gaussian with inputs: (params,xVector)
%params is a vector: [mu sigma peak baseline]
%define parameters
if length(params) < 1, mu=0; else mu = params(1);end %mu
if length(params) < 2, sigma=1; else sigma = params(2);end %sigma
if length... |
ff812474e6658fad801edf6d85d8aba9d152395bfc5296558d2e2758e2528829 | MATLAB | 769 | 40 | function indent_mfiles(folder)
%
% indent_mfiles
%
% Programmatically indents matlab source files in a given folder and its
% subdirectories. Requires that Java is available, meaning Matlab cannot be
% started with -nodesktop.
%
% NOTE 1: this function requires that Matlab was opened with the Java
% components enabled.... |
7812f2d1945c3084c02a3588b5ac9a210f08fa8878d031e4188bb74eecaa8fb9 | MATLAB | 771 | 30 |
%--------------------------------------------------------------------------------
% accuracy.m
%
% Copyright (C) 2025 Takuya Isomura
% (RIKEN Center for Brain Science)
%
% 2025-05-12
%--------------------------------------------------------------------------------
function rate = accuracy(x,y)
Nx = size(x,1);
N... |
76c9e2eb32f83d8d7dc483b94606a61b64cdd811550cfcdd7c25a016cbec8720 | MATLAB | 772 | 32 | function intNewFrame = ETP_GetCurrentFrame(handle,dummy,strType)
%get globals
global sETP;
global sFigETP;
%% get frame
if ~exist('strType','var')
strType = '';
end
intOldFrame = sFigETP.intCurFrame;
intNewFrame = intOldFrame;
if strcmpi(strType,'Edit')
intNewFrame = round(str2double(sFigETP.ptrEditFra... |
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