sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a8c0cdcbcaa5480a538291d237d86caf8da5425cc50da344aac2ca4aa23d4e5f | MATLAB | 2,473 | 65 | function ff = fixfocus(msg)
%FIXFOCUS Properly open a selection dialog box in presence of a 'uifigure'.
% FIXFOCUS provides a workaround to an annoying, long-running MATLAB bug
% that opens a selection dialog box (such as a file selection dialog box
% called with 'uigetfile') *behind* an app or 'uifigure' window ... |
ed60dcfa85e6de4995d6f37acaa294028778b0ef2bd1d081728d264e39e5dcb8 | MATLAB | 2,479 | 92 | function [W_est Ms crit]=wedge(M,H,W_est0,maxnumit)
%
% Weighted Exhaustive Diagonalization using Gauss itEration (WEDGE)
%
% Coded by Petr Tichavsky, March 2008
%
% Please cite
%
% P. Tichavsky, A. Yeredor and J. Nielsen,
% "A Fast Approximate Joint Diagonalization Algorithm
% Using a Criterion with a Block ... |
a9f013a9b16ddc21a5187f6e32a923df262720ce2c22b60cde75b5ea0f085da3 | MATLAB | 2,482 | 60 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function h_source = zef_plot_source(source_type)
if source_type == 1
h_axes1 = evalin('base','zef.h_axes1');
if isfield(evalin('base','zef'),'h_synth_source')
h_synth_source = evalin('... |
fddcdf463d46e6002323532407d20cabf519a2bce250871598719313ee43f817 | MATLAB | 2,482 | 70 | %% 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... |
f3680d058439f9c2464ac68980a3e560949a1c5ada2a4ebe0a2be1fc93dae01f | MATLAB | 2,487 | 67 | function s=semblance(t,y1,y2,nscales)
% SEMBLANCE(t,y1,y2,nscales)
% Produces a cross-correlation plot between two timeseries as a function of
% both time and wavelength
% *** Requires Matlab wavelet toolbox
% Type semblance; for demo with synthetic data
% Inputs;
% t Time axis
% y1,y2 Datasets to... |
b0c68e4b36f3726e09dc5b6668752dc5aa680b5944f95efefcf936e2c6b74178 | MATLAB | 2,488 | 57 | function Fun_ExportRawData(Path, Subject, NumberOfFilesPerSubject,...
FileNamesForSubjects, NumberOfEpochs, NumberOfSpectrumValues,...
Spectra, Scorings, Frequencies, ExportRawCSV)
%% Written and updated by M. Nollet (Aug 2023)
%
% Function to be used to export raw EEG data for each file
%
% Requires F... |
acca47c6410bcf8015f0a61b8b1616c192b1614ffbb9dea1f13e8b46bfbd6e80 | MATLAB | 2,492 | 59 | function [omega,omega_t] = tudaomega(tuda,Gamma_mean)
% Given a precomputed TUDA model, it returns the precision matrix of the
% noise (the inverse of the covariance matrix of the residuals)
%
% INPUT
% tuda: Estimated TUDA model, using tudatrain
% Gamma_mean: (Optional) if time-resolved coefficients are desired,
% ... |
7db1f5f59a23f78219d9674b1cbd116a6888c189c21cbb0e2e5525819809a16d | MATLAB | 2,493 | 78 | clear all;close all;clc
% Set the directory containing the text files
dir_path = 'C:\lbs\TMS2021\mauscript\codes_for_dataprocess\Exp2_RT';
% Get a list of all files in the directory
% dir_contents = dir(fullfile(dir_path, '*cTBS*.csv'));
dir_contents = dir(fullfile(dir_path, '*iTBS*.csv'));
dir_contents2=dir_co... |
ad3e9c14cadbfec515388afac9ba84ec26985f4d0d5c73dd03d9c2538509cc3f | MATLAB | 2,494 | 67 | clear all
close all
addpath('utility/')
addpath('hatime_func/')
addpath('hb_func/')
%% config simulation parameter
sim_parm.fs_raw = 20000; % raw sampling rate [Hz]
sim_parm.fs = 50; % acquired sampling rate [Hz]
sim_parm.p = 1; % nonlinearity parameter: 1-'linear',
... |
b8a9617e3935c7077617ae7d9f6890a5b29c0dc5b07ae89687d26276456e8096 | MATLAB | 2,494 | 61 | function matFilteredSignal = imfiltreflectpad(matSignal,matFilter)
%buildConvolutedMatrix applies 2D convolution of matFilter to matSignal
%with edge-reflected copies of the signal matrix
% matFilteredSignal = imfiltreflectpad(matSignal,matFilter)
%
% Version history:
% 2.0 - July 20 2015
% Created by Jorrit M... |
a4d5ccd42f21f7438e067c8d28741cd44c36b5a28ee36c82d205062ee7801f84 | MATLAB | 2,498 | 54 | function [vecPseudoOri,matWhitePseudoData,matPseudoData] = buildPseudoData(cellLabels,cellData,intUseReps)
%buildPseudoData Builds pseudo data
%[vecPseudoOri,matWhitePseudoData,matPseudoData] = buildPseudoData(cellLabels,cellData,intMinRep)
%
%Input:
%-cellLabel{i} is a vector with trial labels (e.g., stim orienta... |
2444c1eccdbedbd0e5837e7102956cc32db1591e6fdd9447685993eff4964457 | MATLAB | 2,501 | 69 | %% 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... |
ae68f1566cdc6bf21ad94489c904e4f57e43a498692791ad6f0efd19def3a776 | MATLAB | 2,504 | 79 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef.lf_item_selected = get(zef.h_lf_item_list,'value');
zef.aux_field = get(zef.h_source_interpolation_on,'value');
for zef_i = 1:length(zef.lf_bank_storage)
if ismember(zef.lf_item_list{zef_i},... |
6f6d3bf7e99fd9a1d7139e9d74939535e0e1594a9cc91fc9e8feef79e4812016 | MATLAB | 2,506 | 107 | % zef_mpo_system
%
% A function for generating a matrix of interpolation coefficients via mean
% position and orientation- or MPO-optimization.
%
% Input:
%
% - arg_locs
%
% An N × 3 dipole location matrix needed in interpolation.
%
% - arg_dirs
%
% An N × 3 dipole direction matrix needed in interpolation.
%
% - ar... |
b1255f882cd89aa1e15c8f97c3762eb2963006ef5022eec96c668790a5daf32e | MATLAB | 2,515 | 73 | function dblDeltaPrime = getDeltaPrime(vecResp,vecAngles,boolBiasCorrection)
%getDeltaPrime Calculates the orientation selectivity metric \(delta)'
% dblDeltaPrime = getDeltaPrime(varResp,vecOri)
%
%Inputs:
% - vecResp; [1 x Trial] response vector
% - vecAngles; [1 x Trial] stimulus orientation vector [in radian... |
0ebea107e110ab457cddca8e1f669a089e74b2fdce6fdf94f9acbb9210b0cd02 | MATLAB | 2,521 | 89 | function [X,XX,Y,T] = loadfile(file,T,options)
% load the file and does some optional preprocessing
if iscell(file) % T needs to be cell too
T = cell2mat(T);
for j = 1:length(file)
if ischar(file{j})
fsub = file{j};
loadfile_sub;
else
X = file{j};
end... |
194f470f68d95830298f4b29295bdd2545a05caffabf0ce878bd5d2a37f649b0 | MATLAB | 2,521 | 90 | clear
path = '../../CommonExperiment';
p = genpath(path);
addpath(p);
path = '../Stim_Dev';
p = genpath(path);
addpath(p)
diotic = 0;
folder_loc = '/media/ravinderjit/Data_Drive/Data/Stimuli_WavMat/FMphi/';
folder_loc = '/home/ravinderjit/Documents/OnlineStim_WavFiles/FMphi/';
if diotic
folder_loc = '/home/rav... |
14c43c3a6427f2b1ea15bf3d42b4db95af4df5ea7eaf491be678a589cd0fa331 | MATLAB | 2,529 | 69 | %% 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... |
61fe09a7198f1447f0bb368ce759277e57ca5d86ae822dd05a0c633397c48694 | MATLAB | 2,542 | 78 | function S = getStartFinish_StateVisits (vp,T,options)
% Decomposes a Viterbi path into a list of visits, each characterised by
% start time point and finish time point.
%
% S is a (N x K) cell, where N is the number of data time series
% (length of T) and K is the number of states; each element of S contains
% a m... |
9c11f953cb36f434c9f1a3dcfb078162dc9ee6436e59d38be1a9e4076437aa50 | MATLAB | 2,544 | 82 | % Code used in Vidaurre et al. (2017) PNAS
%
% Detailed documentation and further examples can be found in:
% https://github.com/OHBA-analysis/HMM-MAR
% This pipeline must be adapted to your particular configuration of files.
%%%%%%%%%%%%%%%%%%%%%%%%%
%% SETUP THE MATLAB PATHS AND FILE NAMES
mydir = '/home/diegov/MATL... |
a1aa99dcb2e94bc3f2098c43e9f0d9bca7a453fe567e5d526a85bf7d804f5ee3 | MATLAB | 2,544 | 65 | function [X,flips] = aligntotask(X,T,events,window)
% Assuming that the sign ambiguity across channels has been resolved using
% findflip/flipdata.m, we might need to go one step further, under
% the condition that we have a task or a stimulus to lock to.
% If our interest is for example to get the stimulus-locked ave... |
6ad5f78a0adba3bb9778abe99369a9b0288fe588b744b93adca365fd8add6d0a | MATLAB | 2,550 | 74 | %Copyright © 2021- Sampsa Pursiainen & GPU-ToRRe-3D Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre-3D
function [I] = tetra_in_compartment(reuna_p,reuna_t,nodes,compartment_info)
max_x = max(reuna_p(:,1));
min_x = min(reuna_p(:,1));
max_y = max(reuna_p(:,2));
min_y = min(reuna_p(:,2));
max_z = ma... |
5a7b2558111bc1069290a6c5fa1c092034c93eb92deddcedef2282aab695e06a | MATLAB | 2,557 | 75 | function [evokedGamma,t] = evokedStateProbability(stimulus,T,Gamma,window,options)
% Gets the evoked state relative to a stimulus
%
% INPUT
% stim A (time x 1 = sum(T) x 1) boolean indicating when the stimulus occurs
% T Length of series
% Gamma State time course
% window Window len... |
5ff1099a3c5f2e0272631272dc31273c7a3e3285068955ef81f1b88a4774dbe4 | MATLAB | 2,557 | 78 | function [log_likelihoods_each_frame, model_performance] = assess_decoding(params, best_model)
% returns both ll & perf so we can do other things if we want
model_performance = struct();
true_udf_labels = params.udf';
num_original_nodes = size(params.data, 2);
num_udf = size(true_udf_labels,1);
total_frames = siz... |
30a09322323052499149d59de264875fc2ce2eab801b1f4b58ac413a89bc9217 | MATLAB | 2,570 | 72 | function gamma = mymcs_gamma_lutkenhoner ( headmodel, order )
% Returns the Gamma series expansion for EEG leadfields.
%
% Use as:
% Gamma = mymcs_gamma ( headmodel, order );
%
% where:
% headmodel FieldTrip concentric spheres definition:
% headmodel.r Radius of the spheres.
% headmodel.cond Con... |
5ad3c3738481874b3f46ccc7f86b7da920b06adb7af22af9ef1beadfc6e584fc | MATLAB | 2,575 | 95 | function pvalues = hmmtest_epoched(Gamma,T,Y,Nperm)
% Statistical testing on how the probability of the states is modulated
% by a stimulus, time point by time point.
% For statistical testing on differences between groups of
% the average time spent on the different states,
% or how quickly state switching happens, ... |
f00c6e5e875c1af5c103a55ba2edab0907927e8edca3c091504b4bf6c010e5d7 | MATLAB | 2,575 | 74 | function egrad = getPartialEuclideanGradient(problem, x, I, storedb, key)
% Computes the Euclidean gradient of a subset of terms in cost function.
%
% function egrad = getPartialEuclideanGradient(problem, x, I)
% function egrad = getPartialEuclideanGradient(problem, x, I, storedb)
% function egrad = getPartialEuclidean... |
2d94b3f150949855038e07339b069f323406a0b2922d176c5e07058e9ddffaf5 | MATLAB | 2,578 | 72 | function [data, udf] = secondary_validation_dataset_balance(udf, data)
% rule of thumb is to consider 1 - 10 positive-negative probability as sufficiently imbalanced
% however if num udf is greater than 10 we'll make an exception in this such that all classes ought to be no
% less than (1 - num_udf) / 2
num_samples... |
706327aa1520a3e0abe5adca741cbd7508db3cc2a2e25ad02d142ac221600986 | MATLAB | 2,581 | 92 | function pg = pulsogram(eeg, pulseon, sniplen, pperiod)
%% Calculate Pulsogram for eeg
% pg = pulsogram(eeg, pulseon, sniplen)
% eeg - tdt stream data (with fs and data)
% pulseon - Pulse onset timestamps (sec)
% sniplen - length in milliseconds relative to each pulse to snip
if ~exist('sniplen','var') ||isem... |
45c60d41c9aef880f63ed1778b1b09535d385b8d77c6c6b797a21fe37bc51206 | MATLAB | 2,582 | 70 | function [domain_labels, subcompartment_labeling_priority_vec, compartment_labeling_priority_vec] = zef_choose_domain_labels(zef, label_array, use_labeling_priority, ordinal_index)
if nargin < 3
priority_mode = 1;
end
if nargin < 4
ordinal_index = 1;
end
domain_labels = [];
submesh_vec = cell2mat(zef.reun... |
a33612200f19a918961ce53be4127d879ad97222a5da07fa0c6b3a066065c758 | MATLAB | 2,586 | 103 | function [g, dg1, dg2] = spike_func_evaluate(tau, data)
% spike_func_evaluate
% ---
% [g, dg1, dg2] = spike_func_evaluate(tau, data)
% --- data in spike window
% data.y(k,:) : y(k,t) : observed data in k-th window (Nwin x Nt)
% data.Dt{k} : spike onset in k-th window [sec] (1 x Nspike)
% data.dt ... |
2e0cb927c0cc5349a482c68ccca170984307e1b4bb7cff3de6f76d006a8e8a68 | MATLAB | 2,594 | 68 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_init_ias(zef)
zef = zef_ias_map_estimation_window(zef);
set(zef.h_ias_map_estimation,'Position',[ 0.5764 0.2944 0.15 0.40]);
set(zef.h_ias_map_estimation,'Name','ZEFFIRO ... |
fab9fdd1534e4d442842d784557f2590392951b48f345d138e0496dc845222b0 | MATLAB | 2,597 | 69 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [multires_dec, multires_ind, multires_count] = zef_make_multires_dec(varargin)
if not(isempty(varargin))
n_decompositions = varargin{1};
n_levels = varargin{2};
multires_sparsity ... |
7635d33819f475ca4ea28d9d2aedfd23c5ff42db456038e5119b44f3631d9761 | MATLAB | 2,600 | 76 | function zef = zef_update_fss_ROI(zef)
%the number of entries in x coord defines our number of sources
%if there is eg only one radius, that will be applied for all source coords
size_1 = size(str2num(get(zef.h_synth_source_ROI_x,'string')), 2);
% Define all fields and whether they should be repeated (true) or reshap... |
d8ea00491498f59102b5920f6e0a2e486a38a2ae0457f3c1586a077ebc5588e2 | MATLAB | 2,603 | 39 |
% %adds the leadfield and data in the aux field to the bank
%
% zef.LeadFieldProcessingTool.bank{zef.LeadFieldProcessingTool.bankPosition}.source_interpolation_ind = zef.LeadFieldProcessingTool.auxData.source_interpolation_ind;
% zef.LeadFieldProcessingTool.bank{zef.LeadFieldProcessingTool.bankPosition}.parcellation_i... |
33b3160dee24f27eb526874f0f09998780a8a7757ac71a457875e9b581c991d0 | MATLAB | 2,605 | 78 | function params = create_params_struct(regime_type, durtn, outdirpath)
switch regime_type
case 'AI'
params.outdirname = fullfile(outdirpath,'AI');
params.KBuff{1} = 3.5;
params.O2Buff{1} = 32;
ICfilename = './ICs/AI_IC.mat';
ca... |
5a745d72403924835e21eb183210be90d59ffe775356e828e9ae343b3b97580f | MATLAB | 2,608 | 60 | function [ptrPanelParent,ptrSlider,ptrPanel,sPointers] = ETO_genQuadSliders(ptrMainGUI,vecLocation,strName)
%error 'add description of entries (vertical?), add tracking parameter button+gui, and add "run all" button'
%% set constants
%unpack location vector
dblPanelX = vecLocation(1);
dblPanelY = vecLocation(2... |
e9af536b658cdea5e2224055a0b54bfd3add3e365927efc8a98e6289a8d5e008 | MATLAB | 2,608 | 90 | function [dat,opt] = sw_load_scoring (dat, opt)
% beta version use with caution! some hardcoded params in here!
% function to add sleep scoring to sleepwalker dat structure
% sleep scoring come in many formats, this will likely to be customised
% this function can only import sleepsign scoring (rodents) for now
if is... |
ef2b4997630be3c622138ab4c23e58ab20bee280b5ee02e839c00d69eb8f19d2 | MATLAB | 2,612 | 75 | % tuto2_FFT_filter_Process.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 25 May 2012
%
function box_out = tuto2_FFT_filter_Process(box_in)
for i = 1: OV_getNbPendingInputChunk(box_in,1)
if(~box_in.user_data.is_headerset)
% The output is the input + noise, only on fir... |
007259faabff92019a8768310a9476b21496a3249c21e74fc922d5400e3e4bbb | MATLAB | 2,613 | 82 | function [XX,Y] = formautoregr(X,T,orders,maxorder,zeromean,single_format,B,V)
%
% form regressor and response for the autoregression;
% residuals are assumed to have size T(in)-order in each trial
%
% Author: Diego Vidaurre, OHBA, University of Oxford
N = length(T); ndim = size(X,2);
if nargin<5, zeromean = 1; end... |
c288f5462821e48fdc318cb670dbafcfef0f207ae2fce826fbb83e52ebee13c4 | MATLAB | 2,613 | 68 | zef.aux_field_1 = zef.h_sensors_name_table.Data;
zef.aux_field_2 = [];
zef.aux_field_3 = [];
for zef_i = 1 : size(zef.aux_field_1,1)
if not(isnan(zef.aux_field_1{zef_i,1}))
zef.aux_field_2 = [zef.aux_field_2 zef_i];
zef.aux_field_3 = [zef.aux_field_3 zef.aux_field_1{zef_i,1}];
end
end
[~, ze... |
4324c2c76139a00a577666803646696213b3bf686f5e28cdf59acb5581020a49 | MATLAB | 2,615 | 68 | function [log_likelihood_ratio] = calculate_log_likelihood_neuronal(params, best_model)
%% set up
num_original_nodes = params.num_neurons;
num_udf_nodes = params.num_udf;
num_nodes = num_original_nodes + num_udf_nodes;
x_train = params.x_train;
x_test = params.x_test;
x_valid = params.x_valid;
dataset = [x_train; x_v... |
76adb7b8b58eb6977b1c66f3d427d3a670a802090c56ed137e23d5e37f8d56e2 | MATLAB | 2,619 | 68 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_init_sl1(zef)
zef = zef_sl1_map_estimation_window(zef);
set(zef.h_sl1_map_estimation,'Position',[ 0.5764 0.2944 0.15 0.40]);
set(zef.h_sl1_map_estimation,'Name','ZEFFIRO ... |
fd98e596d7578ba8eacd9508bdb1a4416b75d0155cd141a20f123190cb571748 | MATLAB | 2,625 | 83 | function Gamma = simgamma_ltd(T,P,Pi,rate,L,refractory_period,grouping)
%
% Simulate state time courses with longer-than-markov time dependencies
%
% INPUTS:
%
% T Number of time points for each time series
% P Transition probability matrix (K by K)
% Pi Initia... |
2dec9fa6c14f2c6eb420aafec6f0f948e15719f049af163e1e4a989c386e95e0 | MATLAB | 2,630 | 81 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [c_table,c_points] = zef_parcellation_default(zef)
c_table = cell(0);
c_points = cell(0);
c_ind = 0;
submesh_ind = eval('zef.submesh_ind');
if isempty(submesh_ind)
submesh_ind = ones(siz... |
9ae7dd069cce44ce50d803a5c0c47ded81ae8e34fbbdea6f91e962086254e4f8 | MATLAB | 2,630 | 72 | function [vecParams,matFit,resnorm,residual,exitflag] = getFitGauss2D(matDataGrid,vecParam0)
%% getFitGauss2D Fit a 2D gaussian to data
% Syntax: [vecParams,resnorm,residual,exitflag,matFit] = getFitGauss2D(matDataGrid,x0)
%
% Inputs:
% matDataGrid: 2D data matrix
% vecParam0 = [z0, gain, x0, x-width, y0, y-w... |
5a6b89e1a1b409bd0f0b65d222fc7faa4f2de9f27c69529b2faf1b4650547b95 | MATLAB | 2,631 | 48 | function hmm = states_supdate(hmm,hmm_noisy,rho,update)
% update==1, W; update==2, Omega; update==3, sigma; update==4, alpha
K = length(hmm_noisy.state);
Sind = hmm.train.Sind==1;
regressed = sum((hmm.train.S==1),1)>0;
for k = 1:K
if update==1 && isfield(hmm_noisy.state(1),'W') && ~isempty(hmm_noisy.state(1).W.Mu_... |
fa879fe93d2aca16a0562149a42a62f48a9c5279ac3bc5b928450fe3cc6b97b1 | MATLAB | 2,631 | 57 |
%--------------------------------------------------------------------------------
% fig3_figure_output.m
%
% This analysis is included in
% Experimental validation of the free-energy principle with in vitro neural networks
% Takuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo, Karl Friston
%
% Copyright (C) 2022 Takuya Iso... |
1528e93c5d3b0fcdfd3f34baff7f74d54af856e6f11f6b930bcd4ba7da293d8f | MATLAB | 2,632 | 100 | function h_arrow_vec = zef_plot_3D_arrow(x,y,z,u,v,w,varargin)
h_axes = gca;
hold_state = ishold(h_axes);
arrow_scale = 1;
arrow_type = 1;
arrow_color = 0.5*[1 1 1];
arrow_shape = 10;
arrow_length = 1;
arrow_head_size = 2;
arrow_n_polygons = 100;
if not(isempty(varargin))
arrow_scale = varargin{1};
if length... |
25db4c1eb332d0998c3edaddbd8c1593809e944bf458cabf3f7d4f9095322b64 | MATLAB | 2,637 | 90 | function [stensil, signs, source_moments, source_directions, source_locations, n_of_adj_nodes] = zef_ew_dipoles( ...
nodes ...
, ...
tetrahedra ...
, ...
brain_ind ...
)
% zef_ew_dipoles: generates the vectors related to edgewise dipoles in the
% tetrahedral... |
cde5a649d3909a772d4eb85921fe9ccecca71c6d496f873b5a80962b78214339 | MATLAB | 2,643 | 88 | function [G, dipole_locations] = zef_lead_field_interpolation( ...
p_nodes, ...
p_tetrahedra, ...
p_brain_inds, ...
p_source_model, ...
p_intended_source_inds, ...
p_nearest_neighbour_inds, ...
p_optimization_system_type, ...
p_regparam ...
)
% Chooses the interpolation method base... |
b51069e3e995cfd9b1a3e3be11b68188f6acfd4c28135bdd151b73a92ff2fe69 | MATLAB | 2,644 | 83 | function hmm = hmmhsinit(hmm,GammaInit,T)
% Initialise variables related to the Markov chain
%
% hmm hmm data structure
%
% OUTPUT
% hmm hmm structure
%
% Author: Diego Vidaurre, OHBA, University of Oxford
% if isfield(hmm.train,'grouping')
% Q = length(unique(hmm.train.grouping));
% else
% Q = 1;
%... |
215a3b33a9602e15d0b40bce9daece36ebd08191062da05d5e990ef2750f3205 | MATLAB | 2,646 | 60 |
% Load NIfTI toolbox
addpath('/Users/....');
% List your input NIfTI files
input_files = {
'/Volumes/Data/Data2/MRI/fMRI/projects/marmoset_awake_bruker/Vocalization_Azadeh/1.MYPAPER/SingleSubjects/SingleSubject_m1_Vocal_vs_Nonvocal_Tstat.nii';
'/Volumes/Data/Data2/MRI/fMRI/projects/marmoset_awake_bruker/Vocal... |
cf9b78b889e83709719e38c626adc3643f66a9a8f046fd0fae3fa8f26eef03bb | MATLAB | 2,646 | 77 | function subgrad = getSubgradient(problem, x, tol, storedb, key)
% Computes a subgradient of the cost function at x, up to a tolerance
%
% function subgrad = getSubgradient(problem, x)
% function subgrad = getSubgradient(problem, x, tol)
% function subgrad = getSubgradient(problem, x, tol, storedb)
% function subgrad =... |
fd3f03a0fd988571581880fd6e51b10e2b774fde012c3f8c968ea571cc19c474 | MATLAB | 2,648 | 84 | function [y,ty,x,tx] = ode_LL(P,M,U)
% Performs integration using Local Linearization for a system of the
% form:
%
% df/dx = f(x,u,P,M)
% y = g(integral(f)) + e
%
% Inputs:
% P - model parameters [Np x 1]
% M.x - starting values for hidden states ... |
b4fadfbfac3485a0a8d49d729bdaa1c2957f6bc661d9cd881b023a5bb10d5eed | MATLAB | 2,653 | 76 | function [sr, sc] = zef_ES_objective_function(varargin)
%% Check for zef
switch nargin
case {0, 1, 2}
if nargin == 0
zef = evalin('base','zef');
warning('ZI: No zef were called as an input argument.')
else
zef = varargin{1};
end
obj1 = zef.ES_ob... |
97d0a9e2b97e2158ca82e7872d486644d53266beb03901d7d18b72cfc187ac00 | MATLAB | 2,655 | 61 | function plot_pcn_coordinates_style_2(app)
v = app.Stimulus_PCN.Value;
ROI_contours = app.rois;
num_rois = size(ROI_contours.xpix,1);
newcolors = app.newcolors;
udf_label = app.params.udf_labels{v};
app.pattern_completion_coordinates.Title.String = strcat(udf_label, ': Pattern Completion Neuron Coordinates');
pcn_... |
e0ed4606fc4e2f4d78cb79f2ed1fe64ce3226afb4be0499b28c8819e670866c3 | MATLAB | 2,655 | 52 | function [relax_preconditioner, relax_preconditioner_permutation] = zef_relax_find_preconditioner
relax_multires_sparsity = evalin('base','zef.relax_multires_sparsity');
relax_multires_n_decompositions = evalin('base','zef.relax_multires_n_decompositions');
relax_multires_n_levels = evalin('base','zef.relax_multires_n... |
4ff2c55cad2f78411bfce8d641799186e93a51f04d5063fa42f172084994e4a6 | MATLAB | 2,656 | 66 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if not(isfield(zef,'relax_preconditioner'));
zef.relax_multires_precondtioner = [];
end;
if not(isfield(zef,'relax_multires_n_decompositions'));
zef.relax_multires_n_decompositions = 1;
end;
if... |
3e90992ae60ed04e3913da0d93b1d4b43c35da453b493a61763619892a54e1a8 | MATLAB | 2,657 | 91 | function [vecOptimParams,dblEdgeHardness,imPupil] = getCircleFitWrapper(matIn,vecApproxCentroid,dblApproxRadius,imIgnore,imBW)
%getCircleFitWrapper Optimizes a circular or ellipsoid fit on an input image (range: 0-1)
% [vecOptimParams,dblEdgeHardness,imPupil] = getCircleFitWrapper(matIn,vecApproxCentroid,dblApproxRad... |
95841973d636ebc532e5281fcc2d63b3cc3452f5ece809250106f9013aa77e07 | MATLAB | 2,659 | 84 | function [p_vec_window,relative_size] = zef_change_size_function(object_handle, current_size, varargin)
relative_size = [];
exclude_type = cell(0);
scale_positions = 1;
if not(isempty(varargin))
if length(varargin) > 0 %#ok<ISMT>
relative_size = varargin{1};
end
if length(varargin) > 1
excl... |
ac97db738b4cc77a6f188ff5a86c80af688d24e3014510394ff8fdfb6dedb837 | MATLAB | 2,664 | 101 | classdef VirtualKeyCode < uint32
% https://msdn.microsoft.com/de-de/library/windows/desktop/dd375731(v=vs.85).aspx
enumeration
VK_LBUTTON (1) % Left mouse button
VK_RBUTTON (2) % Right mouse button
VK_CANCEL (3) % Control-break processing
VK_MBUTTON (4) ... |
43e168220971b232d79a33601299fce6d6d0703d8904ab00cd5f5ab049eea9bb | MATLAB | 2,667 | 116 | function [maxsl,maxsli]=max_slope(cscf,ts,startind,flag)
%simple numerical slope estimation from selected parts of the wave
% 2 slopes: positive (DOWN>UP) and negative (UP>DOWN) with in each wave
% each slope type has two types
% a type: from superthreshold peak to superthreshold peak
% b type: from superthreshold to ... |
0230672a734b1de57f9860c395e83994f4de8a36677fe62b929647d6f2b012d5 | MATLAB | 2,668 | 98 | function h=plot_parameters(Ep,Cp,gP,xlabels)
% Plots the estimated parameters of a model, optionally in a grouped
% bar plot with the parameters used to generate the data.
%
% Ep - vector of expected values of estimated parameters
% Cp - covariance matrix of estimated parameters
% gP ... |
8d1d71570f305b9520dacd70e65d221212c7a2483e4ad67cca43373eb1b4efc0 | MATLAB | 2,670 | 96 | function train_info = train_information(data, parm)
% train_information of spike data
% train_info = train_information(data, parm)
%
% --- train_info
% train_info.spike_num(n) = spike number of n-th window
% train_info.spike_time{n} = spike peak time
% of n-th window [sec]
% ... |
24f10fed8eefef708dc4d3b04cf1cd5e4cd079b36dd5b211e64b8aee7c4ae228 | MATLAB | 2,674 | 27 | zef_data = zef_segmentation_profile;
zef_assign_data;
zef.h_segmentation_profile_table.Data = readcell([zef.program_path '/profile/' zef.profile_name '/zeffiro_segmentation.ini'],'filetype','text','delimiter',',');
set(zef.h_segmentation_profile_table,'CellSelectionCallback',@zef_segmentation_profile_table_selection)... |
2bac7ee039d4335c85ca777c80a6661a411329b5d1df893718087cfdcba1435b | MATLAB | 2,676 | 110 | function spike_time = generate_poisson_spike(parm)
% ----- Poisson spike generation
% spike_time = generate_poisson_spike(parm)
%
% spike_time = time of spike firing [sec] (Nspike x 1)
% ----- Poisson spike generation setting
% parm.Nspike = number of spikes
% parm.fs_spike = spike freq [Hz]
% ----- mult... |
7cd3758f3bf456862cfd00f3148d39d8d81997c57363a7ec631711e04d4ac855 | MATLAB | 2,682 | 83 | function avLL = GammaavLL(hmm,Gamma,Xi,T)
% average loglikelihood for state time course
% if isfield(hmm.train,'grouping') % DEPRECATED
% Q = length(unique(hmm.train.grouping));
% else
% Q = 1;
% end
Q = 1;
N = length(T);
order = (sum(T) - size(Gamma,1))/N;
avLL = 0; K = size(Gamma,2);
do_clustering = isfield(... |
c2c11b780f1e2edb0e0a7090adeff973cd693bacda4d4113809d6b0840fa2135 | MATLAB | 2,683 | 68 | function [log_likelihood_ratio] = calculate_log_likelihood_udf_only(params, best_model)
%% set up
num_original_nodes = params.num_neurons;
num_udf_nodes = params.num_udf;
num_nodes = num_original_nodes + num_udf_nodes;
x_train = params.x_train;
x_test = params.x_test;
x_valid = params.x_valid;
dataset = [x_train; x_va... |
db94b794555365a6aa8fcf347bcbde6e2934ac6929dbdec43954a2370944aa0d | MATLAB | 2,698 | 69 | %% 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... |
6362525c695076af64f3755230229ccee8726567e75711ce02dd69abd0c62c14 | MATLAB | 2,711 | 96 | /*
Magma code to randomly generate 150000 weights corresponding to terminal
weighted projective space, in dimensions 1..10. The resulting weights are
written to the files "rank_1_dim_N.txt", where N is the dimension.
*/
// Returns true iff PP(wts) is terminal. Assumes that the weights wts are
// well-formed.
// "Bound... |
11a064543d5d290e59ba8aefae6d63936d92774c188e50d7cf3c1167b20cc13f | MATLAB | 2,713 | 81 | function grad = getPartialGradient(problem, x, I, storedb, key)
% Computes the gradient of a subset of terms in the cost function at x.
%
% function grad = getPartialGradient(problem, x, I)
% function grad = getPartialGradient(problem, x, I, storedb)
% function grad = getPartialGradient(problem, x, I, storedb, key)
%
%... |
598c4526ba0a1f6e4c59b9e34492b4dc581aefd099ff7041935891fec9ced0c2 | MATLAB | 2,713 | 72 | function [vecCounts,vecMeans,vecSDs,cellVals,cellIDs] = makeBins(vecIdx,vecVals,vecBins)
%makeBins Bins an indexed vector and returns the mean/sd/etc per bin
% syntax: [vecCounts,vecMeans,vecSDs,cellVals,cellIDs] = makeBins(vecIdx,vecVals,vecBins)
% description: bins using vecIdx and returns
% the number (vecCoun... |
705dc3ff32f9c1ea0a91b2f3305c1946f53b968edecdaa3caf1c3b5539bad00a | MATLAB | 2,714 | 60 | function [ptrPanel,ptrSliderLeftTop,ptrSliderRightTop,ptrSliderLeftBot,ptrSliderRightBot] = ETP_genQuadSliders(ptrMainGUI,vecLocation,strName)
%ETP_genQuadSliders Generates quad sliders
% [ptrPanel,ptrSliderLeftTop,ptrSliderRightTop,ptrSliderLeftBot,ptrSliderRightBot] = ETP_genQuadSliders(ptrMainGUI,vecLocation,str... |
421323e2dd1eccdb4a6ee63062cae86c54e564f3be3951c40a0a1032cbf5a687 | MATLAB | 2,716 | 114 | %% VL Scheme - Single exponential example
% define model
% -------------------------------------------------------------------------
M = struct();
f = @(x,u,P,M) -exp(P) * x; % Exponential decay of variable x
g = @(x,u,P,M) x; % Observation model (x is fully observed)
M.f = f;
M.g = g;
M.x = 1; ... |
199e6fcd1f4e86b7abf6cb20607bc7ea3a7b1b0029bb813dee354a5af3d84b4a | MATLAB | 2,719 | 72 | function N = tangentspacefactory(M, x)
% Returns a manifold structure representing the tangent space to M at x.
%
% N = tangentspacefactory(M, x)
%
% N defines a (linear) manifold that is the tangent space to M at x. Points
% are represented as tangent vectors to M at x. Tangent vectors are also
% represented as tangen... |
a99e45607be8e1e4b08888e113dd4ebcdd732c68839feaa95187d16f344ba592 | MATLAB | 2,721 | 76 | function [seed, Nmax]=SetRandState(OldSeed)
% SetRandState - set random generator in arbitrary but reproducible state
% seed = SetRandState;
% sets the MatLab random generator of RAND and RANDN in
% an arbitrary but reproducible state.
%
% The state of the random generator is reproduced by calling
% ... |
0efe0edcbac28dfd3975a848877f1571a7c5a1537e30b72fc0173262fd2b6499 | MATLAB | 2,723 | 100 | function [a,b] = update_spike_amplitude(tau, data)
% update_spike_amplitude & bias for spike model
% ---
% [a,b] = update_spike_amplitude(tau, data);
% --- data in spike window
% data.y(k,:) : y(k,t) : observed data in k-th window
% data.Dt{k} : spike onset in k-th window [sec] (1 x Nspike)
% data.d... |
fe41d87706cd6b9eabb8d2bd407fecb990176b95233f87cdca18e99f6f0b2194 | MATLAB | 2,730 | 79 | function gamma = mymcs_gamma_yao2003_err ( headmodel, order )
% Returns the Gamma series expansion for EEG leadfields.
%
% Use as:
% Gamma = mymcs_gamma ( headmodel, order );
%
% where:
% headmodel FieldTrip concentric spheres definition:
% headmodel.r Radius of the spheres.
% headmodel.cond Con... |
9c2deb75b1aa155eec32534fc72ec4a9867bcf0d9d9accbfa359196110f2a657 | MATLAB | 2,735 | 92 | function [posOri, magnetometerLabel, gradiometerLabel, tra] = getMagnetometerPositions(MEGdata, OptionalName, OptionalPlace, OptionalSave1or0)
%getMagnetometerPositions extracts the important information about the MEG
%gradiometers of fieldtrip processed MEGdata.
%It extracts the postion and orientations of the magneto... |
a3ca46f184c8f6afd3122044899d5ee12e14c2c592beb34bfd52f607b9d7a894 | MATLAB | 2,735 | 84 | clear all
close all
clc
addpath('./tools/')
%% test for network size, training length,
% reset time and noise level
% please record the rmse and running time
% network_set = round(exp(linspace(log(20), log(270), 10)));
% training_length_set = round(exp(linspace(log(2000), log(150000), 10)));
reset_t_set = round(li... |
e11babd58ed4365b6e3d52f07c546eaa57c545e487467a360916e361129f958a | MATLAB | 2,736 | 92 | function hPanelDatimex = ETP_genDataPanel(ptrMainGUI,vecLocation)
%get globals
global sETP;
global sFigETP;
%% set constants
%nr of frames to import
sETP.intImportPoints = 25;
sETP.intImportStretch = 100;
%unpack location vector
vecX = [0.01 0.3 0.55 0.8];
dblButtonWidth = 0.2;
dblTextW = 0.13;
dblEdi... |
8b3b837554fafc4936b75ab2524b97857e2db2f2ab47daaf655ffd4165a36c02 | MATLAB | 2,738 | 89 | function sp_fit = spectbands(sp_fit,bands)
%
% From a multitaper or MAR estimation of the states spectra,
% it decomposes the spectral information (which is given by frequency bin)
% into a set of frequency bands in order to facilitate interpretation
% and visualisation
%
% INPUTS:
%
% sp_fit The ou... |
1e5700df1a409e8f6cea453c0bfe863d55299de8323ba58dad30787bee28a118 | MATLAB | 2,739 | 102 | function sp_fit = relspect(sp_fit,standardise)
%
% Computes the relative spectra for a number of states' estimations.
% This is done by substracting, for each frequency bin (or frequency
% component, as returned by spectdecompose) and region, the mean of the
% estimation across states.
%
%
% INPUTS:
%
% sp_fit ... |
cce5e3ab8a7f179132af769653db984810915a0176005a22755d141ecc6cfefd | MATLAB | 2,739 | 58 | function zef = zef_axes_popup(zef)
if nargin == 0
zef = evalin('base','zef');
end
zef.h_figure_aux = gcf;
zef.h_zeffiro_axes_popup = figure(...
'PaperUnits',get(0,'defaultfigurePaperUnits'),...
'Units','normalized',...
'Position',[zef.h_zeffiro.Position(1)+zef.h_zeffiro.Position(3) zef.h_zeffiro.Posit... |
e2ad4a4ee96addd3f67bff384e7661dd6085de714bb8042f8ee8552d4924aae3 | MATLAB | 2,749 | 83 | %% Nat Comms Ictogenesis Figure 3
clear
CONFIG = struct();
CONFIG.SZID = 'SZ_OP141_D210415-1211_T0600';
CONFIG.offset_adjust__ms = 7;
CONFIG.pre_pulse__ms = 20;
%% Calculate pulsogram and spectrogram
szdat = load(CONFIG.SZID);
% Pulsogram
eegdat = struct('data',szdat.EEG.EEG_filt,... |
4bcccaa6a8144812b7ed9d62c84a87fbc5898abaf047f2b70aca60dfe4cba3bb | MATLAB | 2,754 | 110 | classdef DipoleScanInverter < inverse.CommonInverseParameters & handle
%
% DipoleScanInverter
%
% A class which defines the properties needed by the Dipole Scan inversion method,
% and the method itself.
%
properties
%
%The inverse algorithm used. The options are currently... |
94c7281d28abc457b6ac7f1baad181a78a9a4120a06c58a63921862d7b365bf8 | MATLAB | 2,755 | 97 | function M = shapefitfactory(VJt)
% Linear manifold structure for optimization over the ShapeFit search space
%
% function M = shapefitfactory(VJt)
%
% Input: VJt is a matrix of size dxn, such that VJt * ones(n, 1) = 0.
%
% Returns M, a structure describing the Euclidean space of d-by-n matrices
% equipped with the sta... |
4f9f2698c2a6d51e6c11f037659b750a9f161c01df1298fd375383eb18941aaa | MATLAB | 2,763 | 118 | function [labels, colors] = read_ascii_label_file ( fname )
%
% read_ascii_label_file ( fname )
%
% Reads a given FreeSurfer-generated ASCII label file.
%
% Inputs:
%
% - fname
%
% The ASCII label file.
%
% Outputs:
%
% - labels
%
% The labels as a column vector of integers.
%
% - colors
%
% The RGB color values ... |
150cbb323b2855384f316b4633ba4ab6d92c26d90abb8557580c3091ae1d9712 | MATLAB | 2,771 | 51 | %This is the startup script for KF app. One must add this as launch
%script to zeffiro_plugins file:
%Beamformer, inverse_tools, zef_KF_start
zef.KF = zef_kf_app;
%_ Initial values _
zef.KF.inv_snr.Value = '30';
zef.KF.inv_sampling_frequency.Value = '1025';
zef.KF.inv_low_cut_frequency.Value = '7';
zef.KF.inv_high_cu... |
52434ab55e081ed285ae2f17edac8fc078bd3f6d6b96670ecb17aeca81244132 | MATLAB | 2,776 | 103 | function M = euclideanfactory(m, n)
% Returns a manifold struct to optimize over real matrices.
%
% function M = euclideanfactory(m)
% function M = euclideanfactory(m, n)
% function M = euclideanfactory([n1, n2, ...])
%
% Returns M, a structure describing the Euclidean space of real matrices,
% equipped with the standa... |
5ab46b7fd3116ce80e6068605200c1995e0b28a66ba3b6d0737c0a4c27808402 | MATLAB | 2,780 | 77 | %% Nat Comms Ictogenesis Figure S7
clear
% Uncomment the mouse to plot
% % load('20230715_ExampleSeizures_OP141.mat');
% % load('20230715_ExampleSeizures_OP138.mat');
load('20230715_ExampleSeizures_OP126.mat');
CONFIG = struct();
CONFIG.smooth_eeg__ms = 2;
CONFIG.smooth_pulso__sec = 0.2;
CONFIG.offset... |
7f2857ad5da29b6f0fb4cc05a5cda5a073a1d1bbdb04ea3afa56a4243194ae2d | MATLAB | 2,783 | 75 | classdef SingleModel
%SingleModel On single model (generated by one combination of
%regularization parameters and density).
properties
% training and test sets
x_train, x_test; x_valid;
% struct with
% F (2xnode_count matrix with node weights)
% ... |
7f3f3ed1b09562bfda7d9f7614be2479e9cceb1f262e038847927c33589bf9ec | MATLAB | 2,788 | 73 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function h_source = zef_plot_source(zef, source_type)
arrow_scale = 1;
arrow_type = 1;
arrow_color = 0.5*[1 1 1];
arrow_shape = 10;
arrow_length = 1;
arrow_head_size = 2;
arrow_n_polygons = 100;
if ... |
eecc444cea1768a2be66874aa20db784c631cffd9c18c9ceaa656b4fddf3ad8d | MATLAB | 2,789 | 54 |
%--------------------------------------------------------------------------------
% This demo is included in
% Reverse engineering neural networks to characterise their cost functions
% Takuya Isomura, Karl Friston
%
% Copyright (C) 2020 Takuya Isomura
% (RIKEN Center for Brain Science)
%
% 2020-05-08
%---------------... |
853c6fb79ccc9328afbfec10129985f442441a25d6c4b6919a2204e247b5b453 | MATLAB | 2,791 | 62 | function y = fun_generate_connRange_pdf2(ind_connRange,ind_pdf,edge,convergence_range)
switch ind_connRange
case 1 % rand ( = all range )
switch ind_pdf
case 1 % uniform
x = edge;
pd = makedist('Uniform','Lower',x(1),'Upper',x(end))... |
d136c806fc5f6cc088509187bd4e0e7ec1c11417e61b7fead40334788906078d | MATLAB | 2,795 | 99 | function M = euclideancomplexfactory(m, n)
% Returns a manifold struct to optimize over complex matrices.
%
% function M = euclideancomplexfactory(m)
% function M = euclideancomplexfactory(m, n)
% function M = euclideancomplexfactory([n1, n2, ...])
%
% Returns M, a structure describing the vector space of complex matri... |
1943f989c5bcef6582341880d396281cde5249cac41e52ba16edceec7ac7848c | MATLAB | 2,804 | 69 | function zef_load_GMM(struct)
if evalin('base','isfield(zef,''GMM'')')
GMM = evalin('base','zef.GMM');
if strcmp(GMM.parameters.Tags{end},'saved')
n_params = 36;
else
n_params = 35;
end
else
if isfield(struct,'parameters')
GMM_Tags ={'clustnum','MaxIter','covtype','covident'... |
27b3a794eab6f034cc8c42dfe8a7b32053a1e634ca0c5092e5cbb43175310e6d | MATLAB | 2,804 | 78 | function [obj,additionalout] = cluster_global(obj,k,varargin)
% Perform group level microstate clustering
options = microstate.functions.make_options(varargin) ;
% default options
defaults = {'clustermethod','kmeans'; % kmeans, aahc, pca, ica, hmm
'kmeans_maxiter',100 ;
... |
6d332ccf15bb617388efac3dfede44a9f01df52c8486f71de7e9a88f850431e0 | MATLAB | 2,804 | 92 | function boolAddedEpoch = ETC_SetBlinkEpoch(hObject,eventdata,strType)
%globals
global sFigETC;
%get temporary epoch
sEpoch = sFigETC.sEpochTemp;
%get modifier
boolControlPressed = getAsyncKeyState(VirtualKeyCode.VK_CONTROL);
boolAltPressed = getAsyncKeyState(VirtualKeyCode.VK_MENU);
%if not new, create new... |
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