sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
5191736a21c8c7a03115e7919dd4ab9bcec21e8d2a3570dc9953bfbc4e6ae2fc | MATLAB | 496 | 16 | function Y = prepStack4SingleGauss(Y)
% remove baseline trend, normalize
Y = single(Y);
Y = subMinStack( Y );
Y = normStack( Y );
% gaussian filter below stolen from normCorr
gSig = 3; %7;
gSiz = 3*gSig;
psf = fspecial('gaussian', round(2*gSiz), gSig);
ind_nonzero = (psf(:)... |
6d614fbe1074a89cb2236627e127ed8989e1bcc499819364af3f54899c777ece | MATLAB | 496 | 35 | function M = zef_volume_scalar_matrix_GFu(nodes,tetra,g_i_ind,scalar_field)
%
% zef_volume_scalar_matrix_Gfu
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - g_i_ind
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
%... |
81046ba402f6278e1452a3becd90b9cef102df5df962361443619ad4c1f4ff91 | MATLAB | 496 | 22 |
%--------------------------------------------------------------------------------
% logit.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 Isomura
% (RIKEN... |
4097485eb0cde8942023c45f66b91ee477d42fa5ff0884bf9019d21767811c7f | MATLAB | 497 | 17 | function [d,ib] = findClosest(a,b)
% for each element of vector a find the nearest element in vector b based
% on absolute difference
% a and b must be row vectors
% d ... difference vector
% id ... indices of the differences recorded in d
m = size(a,2); n = size(b,2);
[~,p] = sort([a,b]);
q = 1:m+n; q(p) = q... |
894a375749881913f318b465d6cbfe4334a615d8f5a80fdf8519ec41f0e1f4eb | MATLAB | 499 | 35 | function M = zef_volume_scalar_matrix_FF(nodes, tetra, scalar_field)
%
% zef_volume_scalar_matrix_FF
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% Outputs:
%
% - M
%
% TODO: explanation.
%
i... |
609c86e3035388620795f9a168d7319b0a63b3a2f40716ea765970c12070eb13 | MATLAB | 500 | 36 | function M = zef_volume_scalar_matrix_FFG(nodes, tetra, g_i_ind, scalar_field)
%
% zef_volume_scalar_matrix_FFG
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - g_i_ind
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
... |
7f92e6c24c9e0d72a6d8520e7f72c0200f53c89f6ab0bd23ed078396ac1c323e | MATLAB | 500 | 18 | % myobj = SetRecordingEnable( myobj, bool_flag )
%
% Set triggering (file writing) on/off for current run.
% This command has no effect if not running.
%
function [s] = SetRecordingEnable( s, b )
if( ~isnumeric( b ) )
error( 'SetRecordingEnable arg 2 should be a Boolean value {0,1}.' );
end
... |
a275483bf882fa983ef2e952748843efd8a3db92f243c1b08a58083ef41a3805 | MATLAB | 500 | 11 | function [y_vals, plot_mode] = zef_max_energy_no_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... |
ee3e521a4fb2c609e96c52aa81aaf1a03fcaa55fd1d99fca4e41145d5456899d | MATLAB | 500 | 9 | function window_handle = zef_window_visible(zef,window_handle)
window_handle.Position(1) = zef.h_zeffiro_menu.Position(1)+zef.h_zeffiro_menu.Position(3)-window_handle.Position(3);
window_handle.Position(2) = zef.h_zeffiro_menu.Position(2)+zef.h_zeffiro_menu.Position(4)-window_handle.Position(4);
window_handle.Visible ... |
98657697992ad951df31a7d1606be160a180257def8d54c6f36d3e8707617cec | MATLAB | 501 | 35 | function M = zef_surface_scalar_matrix_FFn(nodes,tetra,n_ind,scalar_field)
%
% zef_surface_scalar_matrix_FFn
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - n_ind
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% O... |
bce0026a97c37a7a9b808bc127d143f0e0efe4e1889e0cd392197430567aee81 | MATLAB | 501 | 16 | function connection_lrc = fun_add_Lateral_pdf(length_matrix,addNumLength)
[s1,s2] = size(length_matrix);
connection_lrc = zeros(s1,s2);
for ii = 1:length(addNumLength)
Num_length = addNumLength(ii);
if Num_length == 0; continue; end
ind_length = find(length_matrix == ii);
ind_add_length... |
33e7078ac7e438be2cb8ea7121d413c05b0e0fcac44b86648308de58aea4f86c | MATLAB | 502 | 27 | function S_mat = zef_simple_smoothing_matrix(tetra, nodes)
n_nodes = size(nodes,1);
c_ave = 1/size(tetra,2);
S_mat = spalloc(n_nodes,n_nodes,0);
for i = 1 : size(tetra,2)
for j = i : size(tetra,2)
S_part = sparse(tetra(:,i),tetra(:,j),ones(size(tetra,1),1),n_nodes,n_nodes);
if i == j
S_mat = S_mat + S_par... |
821bc81ba0c6c7335f44058d99fa986c23e65bfba26d3fd6bcd4d70b54b9e831 | MATLAB | 502 | 19 | function h_struct = zef_gather_object_handles(zef,window_name)
if nargin == 1
window_name = 'ZEFFIRO Interface';
end
h_groot = findall(groot,'-regexp','Name',window_name);
h_struct = zef_find_object_handles(zef, h_groot);
fields = fieldnames(h_struct);
for i = 1 : length(fields)
if ismember('Children',prope... |
181527ea7e473d68e4b195feada36ec0f006d22da027f2abb876b4a6976d228b | MATLAB | 503 | 18 | function zef = zef_dataBank_saveFolderButtonPush(zef)
if nargin == 0
zef = evalin('base','zef')
end
zef.dataBank.folder=uigetdir('', 'select folder for the databank');
zef.dataBank.folder=strcat(zef.dataBank.folder, filesep);
zef.dataBank.folder(strfind(zef.dataBank.folder,'\'))='/'; %ubuntu system works in wind... |
edc9c0750c5f536e250c1fc2288be30eed219ad313d5b93138a7000dfd86556c | MATLAB | 503 | 29 | function [stim] = OSCOR(dur,fs,fm,filt_struct,no_filt)
%dur=duration of stim
%fs=sampling rate
%fm = frequency of OSCOR
%filt_struct = filter structure
%no_filt = boolean, if 1 then no filtering
nn = randn(2,round(dur*3*fs));
t = 0:1/fs:size(nn,2)/fs-1/fs;
A = cos(2*pi*fm.*t);
B = sqrt(1-A.^2);
nn(2,:) = A.*nn(1,:) ... |
e0b172a812b0bb3ddb307702c33c4c6d15f2a58799aefab6d6a37ace14f5edff | MATLAB | 504 | 17 | function [data] = ExtractData(Pic_nums, Dataname,directory)
%extracts pictures from nel data and turns it into cell structure called
%data
cd(directory)
data = cell(1,Pic_nums(end));
for i = Pic_nums
[pic fname] = loadPic2(i);
if exist([fname '_ADdata.mat']) == 2
load([fname '_A... |
109e6ff0f34a2e1df2f8d3bf8f8d1ce518bcac8321f5a6b7932f283bdec45c13 | MATLAB | 505 | 22 | function vecV = getGaussMV(vecParams,matGrid)
%getGaussMV Summary of this function goes here
% vecV = getGaussMV(vecParams,matGrid)
%transform parameter vector to mu/covar
intDims = ndims(matGrid);
[vecMu,matSigma] = getMuSigma(vecParams,intDims);
%ensure S is positive definite
dblMinVal = 10^-10;
if d... |
b733fd9c2bf1e2a7440085009695eb7bd1bdc52949156e4a8366aeca33871f5b | MATLAB | 505 | 35 | function M = zef_surface_scalar_matrix_FG(nodes,tetra,g_i_ind,scalar_field)
%
% zef_surface_scalar_matrix_FG
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - g_i_ind
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
%... |
fa41dd2918416f88aa1fcc7ea4114b79243c2a7dc96762a2aa1c55a49a899e30 | MATLAB | 505 | 10 | function obj = preprocess(obj)
% Wrapper function for a default preprocessing pipeline.
% The pipeline will filter 1-30 Hz, re-reference to average (EEG only), and
% resample at 256 Hz (unless sampling rate is lower than this value).
obj = obj.preprocess_filter(1,30) ; % filter 1-30 Hz
obj = obj.preproc... |
41eb958cf0953d0e79d59ccdc65067f98d55f181f6a7972137126b542c4e3d4c | MATLAB | 506 | 17 | app = pat_map();
dataset = 'example_datasets/drifting_gratings/visual_cortex_';
default_path = pwd;
app.file_data = strcat(default_path, '/', dataset, 'data.mat');
app.file_udf = strcat(default_path, '/', dataset, 'udf.mat');
app.file_rois = strcat(default_path, '/', dataset, 'rois.mat');
app.file_params = strcat(de... |
cc3cdb4138950dcc0c7c43fefcdb6f8346bfe57d9fa3b5e1ee8641cc9f5fb76b | MATLAB | 506 | 14 | function [colormap_vec] = zef_blue_brain_1_colormap(colortune_param, colormap_size)
c_aux_1 = floor(colormap_size/2);
colormap_vec = [[c_aux_1:-1:1]/c_aux_1 zeros(1,colormap_size-c_aux_1); ...
[1:c_aux_1]/c_aux_1 [colormap_size-c_aux_1:-1:1]/(colormap_size-c_aux_1); ...
zeros(1,c_aux_1) [1:colormap_size-c_aux... |
f858a5aeb2df280bd08dd5faea3d64ed0b13ce85400f1facb27682f55beaeeba | MATLAB | 506 | 15 | function Xi = approximateXi(Gamma,T,hmm)
[~,order] = formorders(hmm.train.order,hmm.train.orderoffset,...
hmm.train.timelag,hmm.train.exptimelag);
K = size(Gamma,2);
Xi = zeros(sum(T-1-order),K,K);
for j = 1:length(T)
indG = (1:(T(j)-order)) + sum(T(1:j-1)) - (j-1)*order;
indXi = (1:(T(j)-order-1)) + sum(T... |
e60bf551aa10d0e1cca1221e0018427e18acaf782a4600e0db6207709505c998 | MATLAB | 507 | 19 | function zef_logarithmic_distribution(parameter_vec)
%Logarithmic histogram
axes(evalin('base','zef.h_axes1'));
h_axes = evalin('base','zef.h_axes1');
cla(h_axes,'reset');
h_hist = histogram(log10(parameter_vec),200);
h_hist.FaceColor = [0.5 0.5 0.5];
hist_y = (h_hist.Values);
hist_x = 0.5*(h_hist.BinEdges(1:end-1)+... |
8e80619dccf1f3589fd0ad8f9fdf02c60736d09b1bdb676e5f9be2d12f97d1c6 | MATLAB | 508 | 17 |
app = pat_map();
dataset = 'example_datasets/drifting_gratings/visual_cortex';
default_path = pwd;
app.file_data = strcat(default_path, '/', dataset, '_data.mat');
app.file_udf = strcat(default_path, '/', dataset, '_udf.mat');
app.file_rois = strcat(default_path, '/', dataset, '_rois.mat');
app.file_params = strcat(... |
b0bb1a2b3b3c96e4dadf918d57eccc9ad2d44d24233b87cd2341605883558a28 | MATLAB | 510 | 21 | function [new_text] = add_timestamp(new_text)
%% Documentation Contents
% Darik O'Neil 1-11-2022
% Function to timestamp log text
%% Function Contents
%Make Pads
%L = length(new_text);
%spacing = round(L/2);
%cntr = 118;
%spacingLeft = blanks(cntr-spacing);%-offset);
%spacingLeft = blanks(spacing-offset);
%spacingRi... |
c5ce41d9cfb536e7ec91b5d6287bfeb1002c75b036a3391e70ea6f6ced5374c5 | MATLAB | 510 | 22 | function dblP = chiSquare(x,y)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%get unique values
vecValTypes = getUniqueVals([getUniqueVals(x) getUniqueVals(y)]);
k = length(vecValTypes);
%transform to equal-length count
M = length(x);
N = length(y);
m = histc(x,vecValTypes... |
ac8df06f3bbfd1c7fa0ac6a7cfd89df19a6969349123deac32709519dcffd901 | MATLAB | 511 | 13 | function maxFO = getMaxFractionalOccupancy(Gamma,T,options)
% Finds the maximum fractional occupancy for each subject/trial.
% This is a useful statistic to diagnose whether the HMM solution is
% "mixing well" or states are assigned to describe entire subjects (in
% which case the HMM is doing a poor job in finding the... |
52cacc83d8b9b3014c833f9948ba636c835e6b34cfa68b7da8e8da2cd9e1e327 | MATLAB | 513 | 13 | function [vecLinCoeffs,vecLinCoeffFunctions] = gnmcell2lin(cellCoeffs)
%gnmcell2lin Transform cell-based coefficients to linear vectors
% [vecLinCoeffs,vecLinCoeffFunctions] = gnmcell2lin(cellCoeffs)
vecLinCoeffs = [];
vecLinCoeffFunctions = [];
for intPred = 1:numel(cellCoeffs)
vecCoeffs = cellCoeffs{1,intPre... |
de7e0dd588f77fefbdd1097e118be8db838287f0cb077627e3d72fb133821a94 | MATLAB | 517 | 29 | function [data,T] = cleandata4hmm (data,T)
if iscell(T) || iscell(data)
error('X and T are expected to be matrices here. Run subject by subject.')
end
N = length(T);
ind1 = true(size(data,1),1);
ind2 = true(N,1);
for j = 1:N
t = (1:T(j)) + sum(T(1:j-1));
if isstruct(data)
c = any(std(data.X(t,:))... |
57989ef361c853d2bac841faff0294324410ef0cedc9fe1c555ecec71d8e5347 | MATLAB | 518 | 23 | function zef_nse_plot_pulse(zef,nse_field,type)
if nargin < 3
type = 'single_pulse';
end
axes(zef.h_axes1);
cla(zef.h_axes1);
if isequal(type,'single_pulse')
t = nse_field.cycle_length*[0:0.001:1];
elseif isequal(type,'full_data')
t = [0:nse_field.time_step_length:nse_field.time_length];
end
y = zef_nse_... |
d98e671ab3dc857bede644139d6074753c214d10a1e26e8b55a58fa1ca7144f9 | MATLAB | 518 | 11 | function [y_vals, plot_mode] = zef_time_series_plot_sqrt(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... |
bafd37816d3dde828fc0decc2ca57eca55271e58ebf6feaf45905cf836554a2c | MATLAB | 521 | 12 | function [y_vals, plot_mode] = zef_corr_no_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 ... |
51e3b67d4dd38282607c9e4f47006bc8a2ee64fe240ba53ca4c7ca7c932a55aa | MATLAB | 522 | 17 | function obj = preprocess_rereference(obj) ;
% Re-reference data to average
if isempty(obj.modality)
return
end
switch obj.modality
case 'eeg'
obj.data = obj.data-mean(obj.data,2) ;
msg = 'Re-referenced to average' ;
case {'meg','source','ampenv'}
... |
773ca0a9f5c2272b0180566a1ddba1e2d44c2885e4cd1c0b984fb260f3d471cd | MATLAB | 522 | 33 | function ENV_VARS = FREESURFER_ENV_VARS()
%
% FREESURFER_ENV_VARS
%
% A constant function, which returns a list of the environment variable names
% needed by FreeSurfer.
%
% Inputs:
%
% - None.
%
% Outputs:
%
% - ENV_VARS
%
% The list of environment variable names.
%
arguments end
ENV_VARS = [
"SUB... |
c2fc644f4f2f34bd6918099708617723f76e04420b2ac568562c6c15b2b24063 | MATLAB | 522 | 7 | zef.inv_hyperprior_weight = str2num(get(zef.h_inv_hyperprior_weight,'Value'));
zef.inv_hyperprior = get(zef.h_inv_hyperprior,'Value');
zef.inv_hyperprior_tail_length_db = str2num(get(zef.h_inv_hyperprior_tail_length_db,'Value'));
zef.inv_snr = str2num(get(zef.h_inv_snr,'Value'));
zef.inv_prior_over_measurement_db = str... |
b0009dbda81d85e929ac9d8342aa72c4aba21cdef6ace6592fb560286145f758 | MATLAB | 524 | 19 | function hPlot = plotRect(varargin)
%plotRect Plot rectangle box
% hPlot = plotRect(handle,vecRect,vararg)
if numel(varargin{1}) == 4
handle = gca;
vecRect = varargin{1};
vararg = {varargin(2:end)};
else
handle = varargin{1};
vecRect = varargin{2};
vararg = varargin(3:end);
end
vecX = [vecRect(1... |
77145bc32175732bf62af1d0b4253856f4f179393939e4a50aea1f47b9eaface | MATLAB | 525 | 23 | % Example of artefact detection with the riemannian potato.
% load data
clear all;
load('./data/Artefacts.mat');
Nt = size(data.data,1);
window = 3*data.fs; % 3 second window
overlap = 3*data.fs-data.fs/8;
COV=eeg2cov(data.data',window,overlap);
[C, th] = potato_estimation_iterativ(COV);
[~,d] = potato_detection(CO... |
d01181a7ed4642b59a65f8af01b1fe77f0770aba2e6cc754ab2c54fe8480781b | MATLAB | 526 | 35 | function M = zef_volume_scalar_diagonal_matrix_FF(nodes, tetra, scalar_field)
%
% zef_volume_scalar_diagonal_matrix_FF
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% Outputs:
%
% - M
%
% TODO:... |
82232a5e5ffb85d73188391e10553e69ec7da13b1784a31e40fa6f4bb3d1d4d9 | MATLAB | 528 | 21 | if isvalid(zef.h_zeffiro_menu)
set(zef.h_zeffiro_menu,'DeleteFcn','');
end
zef.current_log_file = zef.h_zeffiro_menu.ZefCurrentLogFile;
zef.zeffiro_task_id = zef.h_zeffiro_menu.ZefTaskId;
zef.zeffiro_restart_time = zef.h_zeffiro_menu.ZefRestartTime;
delete(zef.h_zeffiro_menu);
zef_menu_tool;
zef = zef_update(z... |
14f7e27cb04b29d837138b94fd49df251334537c6caf3b9f8500b38c220dbc45 | MATLAB | 529 | 9 | if isequal(zef.lock_transforms_on,0)
zef.h_transform_table.ColumnEditable = logical(ones(1,size(zef.h_transform_table.Data,2)));
zef.h_menu_lock_transforms_on.Text = 'Toggle ''On'' unlocked';
zef.h_menu_lock_transforms_on.ForegroundColor = [0 0 0];
elseif isequal(zef.lock_transforms_on,1)
zef.h_transfor... |
a926530bc41a31a31f2c885fdf58efab3ebb9ac189fa6fa94289a19c4a74488a | MATLAB | 529 | 21 | function generate_roi_preview(app)
app.roi_preview = axes('Parent', app.IOModelPanel, 'Units', 'pixels',...
'OuterPosition', [51 23 256 256], 'InnerPosition', [56 28 246 231.7],...
'Box', 'on');
app.roi_preview.Title.String = 'ROI Coordinates';
app.roi_preview.Title.FontNa... |
6e054d2a561510cf99a19314c50d17656486be8cbf50dd7e20ff0232b6da54db | MATLAB | 530 | 21 | function ES_active_electrodes = zef_ES_fix_active_electrodes(zef)
if not(zef.h_ES_fixed_active_electrodes.Value)
ES_active_electrodes = [];
else
try
[sr, sc] = zef_ES_objective_function(zef);
catch
ES_active_electrodes = [];
return
end
if isempty(sr)
ES_active_e... |
d0f0e032ffe0cfe5d3cf6429c0de621d322f099a3697b6bd4005ae62aa1681b4 | MATLAB | 530 | 16 | clear;
%h = waitbar(0, 'processing...');
root = './dvs-cifar10';
dirs = dir(root);
for i = 1: length(dirs)
data = dir([root, '/', dirs(i).name, '/*.aedat']);
for j = 1: length(data)
data(j).name
str = [num2str((j+(i-4)*1000) / 1e+4), '%']
%waitbar(((i-4)*1000+j-3) / 1e+4, str);
[... |
6a54afdaaf4bbb21190be61b6115641aa2b6ec968d7a0d0ab45d34c9c9714f9f | MATLAB | 531 | 11 | function zef = zef_GMModel_update(zef)
zef.GMModel.max_n_clusters = str2num(zef.GMModel.h_max_n_clusters.String);
zef.GMModel.credibility = str2num(zef.GMModel.h_credibility.String);
zef.GMModel.n_dynamic_levels = str2num(zef.GMModel.h_n_dynamic_levels.String);
zef.GMModel.reg_param = str2num(zef.GMModel.h_reg_param.S... |
0ec5038daf0f66f8eab22a7299d6fb1220421aa467fc7b5bf495a74add06b777 | MATLAB | 532 | 17 | function h = imagesc3(varargin)
% Display a 2-D image in Matlab xyz 3-D space and scale the colors.
% % h = image3(C, IJ2XYZ, handle)
%
% Uses the whole colormap, similar to imagesc. The syntax is otherwise the
% same as for image3.
%
% This function is provided for convenience, manipulation of the handle h
% from the... |
4092ca9cdd00c42a75f44fd4c13d39ea42e7b23b6d81f78a0acf987ed8d9524d | MATLAB | 532 | 19 | function zef_segmentation_tool_toggle(zef,h_button)
if isequal(h_button.UserData,1)
h_button.UserData = 0;
position_vec = zef.h_zeffiro_window_main.Position;
position_vec(3) = 0.505*position_vec(3);
else
h_button.UserData = 1;
position_vec = zef.h_zeffiro_window_main.Position;
position_vec(3) =... |
a1172582cc1020c9fb5af2f83120154b145c92cd98526746b8a88ef3321510f8 | MATLAB | 533 | 12 | function outmat=bsliang_getDDindex(inmat)
% ¼ÆËãË«·ÖÀëÖ¸Êý£¬¼ÆËãµÄ·½Ê½Îª£º·Ö±ð¶ÔÓÚÇåÎúºÍÔëÉùÌõ¼þ£º
% DD=(TONE_TONGUE_¦¤rTMS-TONE_LARYNX_¦¤rTMS)+(PHONEME_LARYNX_¦¤rTMS-PHONEME_TONGUE_¦¤rTMS)
% (TT-LT)+(LP-TP)£¬ÖµÔ½´óË«·ÖÀëÔ½Ã÷ÏÔ
% inmat - block(TC PC TN PN)*turn(L T)*subj(197)
% outmat - block(C N)*subj(197)
out... |
913bb16d06cd206dfed54a9d0221a9ac3be328555fe8a38e550bf674ef88cff3 | MATLAB | 535 | 16 | function c = cold(m)
%COOL Shades of cyan and blue color map
% COOL(M) returns an M-by-3 matrix containing a "cool" colormap.
% COOL, by itself, is the same length as the current figure's
% colormap. If no figure exists, MATLAB creates one.
%
% For example, to reset the colormap of the current figure:
%
% ... |
96b8bc22998b7de97d5b064a0aeb4b59df9ac4dbe528163aa0546a57df31a02e | MATLAB | 535 | 12 | function [y_vals, plot_mode] = zef_cov_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... |
a04504ea0ab9c36d5dd027fa31347c4f1038a8c28e68f272dbb61876df96f414 | MATLAB | 535 | 41 | function M = zef_volume_scalar_matrix_CC(nodes, tetra, scalar_field)
%
% zef_volume_scalar_matrix_CC
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% Outputs:
%
% - M
%
% TODO: explanation.
%
K... |
edb805f5161c3fb2a20408ed6506b7d8eb7bc823e2aea7a462bc355e7e96bc06 | MATLAB | 536 | 12 | function [y_vals, plot_mode] = zef_cov_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 ... |
87388871dff50b39d7dfa1bc6e0385c72420ed5ac334076c1c1a0d6061db7602 | MATLAB | 537 | 23 | function zef_export_fem_mesh_as(zef)
if nargin == 0
zef = evalin('base','zef');
end
if eval('zef.use_display')
[file path] = uiputfile('*.mat','Export FEM mesh as...',eval('zef.save_file_path'));
else
file = eval('zef.file');
path = eval('zef.file_path');
end
if not(isequal(file,0))
tetra = eval... |
0d60ba64e608925082b573afb0118ff1887d8baf1ff836cbb9b2b0a84ff98b99 | MATLAB | 538 | 22 | function [] = zef_dataBank_uiTreeDeleteHash(node, hashList)
%deleting nodes in the uitree when the hash is known, but the nodes are not
%selected. Moves through the tree and deletes when the hash(es) is(are)
%found
if isprop(node, 'NodeData')
for i=1:length(hashList)
if strcmp(node.NodeData, hashList{i})
... |
29764473bd50be4be558d706eb2ad6f0b66f306e28d2b3ccedff3fd4f25c11c5 | MATLAB | 539 | 19 | function events = getEvents( data, locs, pre, post )
% data contains one traces
% locs contains a list of indices of peaks in "Data"
% pre and post are the durations in points before and after the loc
nevents = size(locs,1);
events = zeros(nevents,pre+post+1);
for i = 1:nevents
is = locs(i)-pre;
... |
85be4790a35d1d67e4d910628086ad42211182ec7aafe6c9f51b6e890fb2a5a6 | MATLAB | 539 | 14 | function update_best_model_text(app)
best_model = app.best_model;
app.sLambdaEM.Value = best_model.s_lambda;
app.pLambdaEM.Value = best_model.p_lambda;
app.TrainEM.Value = best_model.train_likelihood;
app.TestEM.Value = best_model.test_likelihood;
app.MaxEM.Value = best_model.max_degree;
app.MeanEM.Value = best_model.... |
a90033160a5704f9f426579e5f2cffdfac8a2a2bcd66b1d98ba2c3d10d11526f | MATLAB | 539 | 17 | function [vicinity_set] = zef_boundary_vicinity(tetrahedra,nodes,sub_ind,vicinity_distance)
tetrahedra = tetrahedra(sub_ind,:);
[b_t, b_n] = zef_surface_mesh(tetrahedra,nodes);
t_c = 0.25*(nodes(tetrahedra(:,1),:)+nodes(tetrahedra(:,2),:)+nodes(tetrahedra(:,3),:)+nodes(tetrahedra(:,4),:));
MdlKDT = KDTreeSearcher(b... |
4f549b2d084dc179b5457375f688ae67f883e4ed425a40351f80ba1647cd31e9 | MATLAB | 540 | 25 | function [nanx_ALL,X]=interpNANs(signal, time, method)
if isempty(time)
time=[1: length(signal)];
end
if isempty(method)
method='linear'
end
[nSensors nSamples]=size(signal)
if nSensors>=nSamples
signal=signal';
[nSensors nSamples]=size(signal)
end
for i_sensor=1:nSensors
temp_s... |
c760ae2ea34b9a95a3f64b5a0cd508e0707c11fc458943ba69cce02f90a31c8a | MATLAB | 540 | 12 | function [y_vals, plot_mode] = zef_mean_energy_no_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 Z... |
c9610fbc2320072a363eca7a1e0a8715a7128569b9344c0e3a4033aa0fdcac2a | MATLAB | 540 | 23 | function dispErr(sME)
%dispErr Shows error without cancelling script
% dispErr(sME)
strID = sME.identifier;
strMsg = sME.message;
%try error as warning
try
fprintf('%s: %s\n',strID,strMsg);
catch
end
%show stack
intStackLength = numel(sME.stack);
for intDepth=1:intStackLength
strFilePath = sME.stac... |
217402fee9db965ca178d538c8aaf2b79ce6431ceab24d251316ffb7030c77cb | MATLAB | 541 | 19 | %% structure ROIs derived from previous ROIs
function h = structureROIs( hROI, fax, im, r, offset, pen, bonus )
% hROI is a set of ROI handles
% test first ROI
%r=10;
%offset = 4;
if nargin<7
bonus = 0;
end
nROIs = size(hROI,2);
for i=1:nROIs
M = mean( hROI(i).ROI ); %hROI(i).handles.ROI.Position ... |
3809024dfb7330164b30501950989870fe3438b5832f7291d4d84c7515e6f472 | MATLAB | 541 | 18 | function [dblLambda,dblR2Optim] = getOptimRidgeLambda(matX1N,matY1N,intFoldK,dblInitLambda)
%getOptimRidgeLambda Find optimal regularisation parameter for ridge regression
% [dblLambda,dblR2Optim] = getOptimRidgeLambda(matX1N,matY1N,intFoldK,dblInitLambda)
%set globals
global gMatX;
global gMatY;
global gIntF... |
4596cc5ff1e5255175b22c74b37bbaa9a670e69e4fadef7bb0ca7cd16ae97600 | MATLAB | 542 | 26 | function load_udf(app)
% function to load udf matrix
udf_labels = [];
try
app.udf = load(app.file_udf,'udf');
app.udf = app.udf.udf;
update_log(app, 'Retrieved UDFs');
catch
update_log(app, 'Unable to Retrieve UDFs');
end
try
udf_labels = load(app.file_udf, 'udf_labels');
app.udf_labels = udf... |
8ca1e21dc8aebcded16f69852b1f7c945ce1887a86ba647e3c68dc27adac9d54 | MATLAB | 542 | 28 | function [S_C,orj] = zef_subspace_corr(A,B,chararcter)
[U_A,S_A,V_A]=svd(A,'econ');
U_A = U_A(:,abs(diag(S_A))>0);
V_A = V_A(:,abs(diag(S_A))>0);
S_A = S_A(abs(diag(S_A))>0,abs(diag(S_A))>0);
[U_B,S_B,V_B]=svd(B,'econ');
U_B = U_B(:,abs(diag(S_B))>0);
V_B = V_B(:,abs(diag(S_B))>0);
S_B = S_B(abs(diag(S_B))>0,abs(diag(... |
a666610630e951859f82bf9f7dbf67ffb99bc92de516ee779a26e434567204bc | MATLAB | 542 | 15 | function generate_ensemble_coordinates(app)
app.ensemble_coordinates = axes('Parent', app.EnsID_IDENS, 'Units', 'pixels',...
'OuterPosition', [21 19 860 670], 'InnerPosition', [ 60.4000 54.4000 812.1000 615.3000],...
'Box', 'on');
set_common_plot_settings(ap... |
e09928b22b9f440e3638ee89ebf9b3072f6a3fae9a059327cb27e1d820b0235c | MATLAB | 543 | 12 | function [y_vals, plot_mode] = zef_mean_energy_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 ... |
dad89e31e2f218e617eda00c7c4742efe9a73c4d35f1fdbb92517263620f4dfc | MATLAB | 544 | 12 | function [y_vals, plot_mode] = zef_std_no_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 i... |
1768800421176468fad5f0b0af66532ddd17bb3a8eb061fb452c04f938569e22 | MATLAB | 545 | 13 | % get the ideal display range for an image
function disp_range = cleanDisplayRange( image_array, crop_pixels )
% image_array is any bw image data set, m x n pixels
% crop_pixels, number of pixels to ignore around edge of image
cropped_image = image_array( crop_pixels:end-crop_pixels, crop_pixels:end-crop_pixels );
... |
18068c614fb8d09c98d1093fa88542c1bdfc985cc57b818c4b5aa11ca599b18e | MATLAB | 545 | 18 | function browse_udf(app)
q = figure('Renderer', 'painters', 'Position', [-100 -100 0 0]); %create a dummy figure so that uigetfile doesn't minimize our GUI
% see
% https://www.mathworks.com/matlabcentral/answers/296305-appdesigner-window-ends-up-in-background-after-uigetfile
% Onur Ozdemir solution
% Hacky but whatev... |
38b2fb59c5c93961260298f5edf27fdb2b799c000965fc9ca1b788eecfeb0f94 | MATLAB | 546 | 39 | function M = zef_volume_scalar_matrix_GG(nodes,tetra,g_i_ind,g_j_ind,scalar_field)
%
% zef_volume_scalar_matrix_GG
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - g_i_ind
%
% TODO: explanation.
%
% - g_j_ind
%
% TODO: explanation.
%
... |
436fda13e336eac0ddb5361c51b7d776146ca704ee14ad724ab5b90eff7c35a3 | MATLAB | 546 | 12 | function [y_vals, plot_mode] = zef_mean_energy_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... |
bc3147121a72ff001808d8265adf8154106002d72ef370d6675fcfc72ba43e8d | MATLAB | 546 | 18 | function browse_models(app)
q = figure('Renderer', 'painters', 'Position', [-100 -100 0 0]); %create a dummy figure so that uigetfile doesn't minimize our GUI
% see
% https://www.mathworks.com/matlabcentral/answers/296305-appdesigner-window-ends-up-in-background-after-uigetfile
% Onur Ozdemir solution
% Hacky but wha... |
73d30f491f5bd59357634f9b8935783c2f879e361ad6a6687f408253142871b6 | MATLAB | 547 | 15 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if not(isempty(zef.save_file_path)) & not(zef.save_file_path==0)
[zef.file zef.file_path] = uiputfile('*.mat','Save processed data as...',[zef.filter_save_file_path zef.filter_save_file]);
else
... |
e3b7808b94d98623d230818ea9942931904686459b33a1c1df00eefe0fad7c01 | MATLAB | 547 | 26 |
%--------------------------------------------------------------------------------
% softmax_a.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... |
501b715e84ba81f94a840a0a897577b10cb282d65ae183ff8d007bcd6dd05480 | MATLAB | 548 | 12 | function [y_vals, plot_mode] = zef_std_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... |
66fcf67ff8b543d46007c536372e27cb2fa23833fa68d59ac7553e04e3d094c9 | MATLAB | 548 | 12 | function [y_vals, plot_mode] = zef_max_energy_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 ... |
a5af5db906a62e13307418a42acb16a8e625d69992c6a779f013b5ae746155aa | MATLAB | 548 | 14 | function identify_ensembles_run_all_button_pushed(app)
update_log(app, 'Initiating Identification of Ensembles');
evaluate_neuronal_contributions_button_pushed(app);
app.params.stage = 6;
evaluate_node_performance_button_pushed(app);
compare_to_random_ensembles_button_pushed(app);
recompare_ran... |
b94cfe070a9e44e4cf157648fe2e658d5dd0742f2f918da31be30b0d3ede8678 | MATLAB | 548 | 24 | function zef = zef_add_bounding_box(zef,name_str)
if nargin == 0
zef = evalin('base','zef');
end
if nargin < 2
name_str = 'Box';
end
zef = zef_add_compartment(zef);
zef.([zef.compartment_tags{1} '_name']) = name_str;
zef.([zef.compartment_tags{1} '_sources']) = -1;
zef.([zef.compartment_tags{1} '_visible']) ... |
47425b16d03656c8755b01ee1a107ab6adb7103b7fce11d2d13e736e52dae6af | MATLAB | 549 | 21 | function zef_bst = zef_bst_get_settings(settings_file_name,zef_bst)
if nargin < 2
zef_bst = struct;
end
zef_bst_aux = zef_bst;
utilities.brainstorm2zef.m.zef_bst_init;
[~, settings_file_name] = fileparts(settings_file_name);
eval(['utilities.brainstorm2zef.settings.' settings_file_name]);
fieldnames_aux = fieldnames... |
832a8cebeecae0c52fdbbda1010eba9afc3f7f00a7fb28810ec025ad207e8303 | MATLAB | 550 | 6 | if isfield(zef,'h_scroll_bar')
delete(zef.h_scroll_bar);
end
zef.h_scroll_bar=uicontrol(zef.h_zeffiro,'style','slider','units',zef.h_axes1.Units,'position',[zef.h_axes1.Position(1:3) 0.05*zef.h_axes1.Position(4)]);
zef.h_scroll_bar.Position(2) = zef.h_axes1.Position(2)-0.1*zef.h_axes1.Position(4);
set(zef.h_scroll_... |
a9656b6a10a8968daa9309d60dbe012601047dcd22ea7f4c64d651c74d42d6b8 | MATLAB | 551 | 12 | function [y_vals, plot_mode] = zef_max_energy_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 Z... |
16ed4b3f34307caa9947fd847d235d34b1de521575d58f194bd23bb2e605aab2 | MATLAB | 552 | 21 | % subtract min value from each frame
function [nst, Smin] = subMinStack( st )
% assumes 3rd
%Smean = squeeze(mean(st, [1 2]));
%Smin = squeeze( min( st, [], [1 2] ) );
sz = size( st );
Smin = squeeze(zeros(1,sz(3)));
nst = zeros(sz);
for i=1:sz(3)
% frame = squeeze( st( :, :, i) );
Smin(i) = min( st( :, :, ... |
8a7e936f416835d121836cc629346f85ea6786210fc926b6cf3ac1aadaf5b00f | MATLAB | 552 | 17 | function ET_lock(handles)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%Enable,'off'
cellNames = fieldnames(handles);
for intPtr=1:numel(cellNames)
if (~isempty(strfind(cellNames{intPtr},'ptrButton')) || ...
~isempty(strfind(cellNames{intPtr},'ptrList')) || ...
~isemp... |
109f0d31054eaeb3bfd2744a04adc7cf21b033b9672a69eda96a8148c4c2faa6 | MATLAB | 553 | 8 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
set(zef.h_inv_roi_sphere_1 ,'string',num2str(zef.inv_roi_sphere(:,1)'));
set(zef.h_inv_roi_sphere_2 ,'string',num2str(zef.inv_roi_sphere(:,2)'));
set(zef.h_inv_roi_sphere_3 ,'string',num2str(zef.inv_ro... |
ef484b94e4fb4c99c2819e31bc842ad844e63a8de95a50c55374b35f66640524 | MATLAB | 553 | 25 |
%--------------------------------------------------------------------------------
% binary_to_decimal.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
%
% Copy... |
3b8ea4fd03ad82a51800265673675a1a5d482f2eaf67caa43acc18338665c23c | MATLAB | 554 | 17 | function y = logisticfit0(beta,x)
%logisticfit0 Logistic growth centered at (x=0,y=0)
% Syntax: y = logisticfit0(beta,x)
% beta(1) = L (asymptote) [default 1]
% beta(2) = k (slope) [default 1]
% beta(3) = y0 (y-offset) [default 0]
%define parameters
if length(beta) < 1, L=1; else L = beta(1);end %asymptote
... |
e682357ff08841cf9c167d57d5d7fe8651696bbda8211cbd29cf27c756b65ecb | MATLAB | 554 | 18 | function browse_params(app)
q = figure('Renderer', 'painters', 'Position', [-100 -100 0 0]); %create a dummy figure so that uigetfile doesn't minimize our GUI
% see
% https://www.mathworks.com/matlabcentral/answers/296305-appdesigner-window-ends-up-in-background-after-uigetfile
% Onur Ozdemir solution
% Hacky but wha... |
57900833a3067b6b076c31f4c042330b1641a17615b7b85f95430f3b422646c3 | MATLAB | 555 | 14 | function generate_ensemble_evaluation_coordinates(app)
app.ensemble_evaluation_coordinates = axes('Parent', app.EnsembleCoordinates, 'Units', 'pixels',...
'OuterPosition', [61.4 58.4 299.1 234.3], 'InnerPosition', [22 23 347 289], 'Box', 'on');
set_common_plot_settings(app.ensemble_evaluation_coordinates);
set_n... |
5c761dc2c0a3cc8ad1f3b268be6ef303ea0cadfe31b25ccb8a2c6cc38b679e47 | MATLAB | 556 | 28 | function zef_plot_strips(strip_struct)
hold on
if nargin == 0;
strip_struct = evalin('caller','zef.strip_struct');
end
haxes = evalin('caller','zef.h_axes1');
axes(haxes);
hold on
for i=1:strip_struct.probe_num
tri1 = strip_struct.faces{i};
x1 = strip_struct.vertices{i}(:,1);
y1 = strip_struc... |
d9cbf1e5062d4fb61adb9daae6a56ca60c55d52964cad603cca0e52c5d433532 | MATLAB | 556 | 10 | [vertices,label,colortable]=read_annotation([dir_name '/label/lh.aparc.a2009s.annot']);
save color_table_lh_76.mat colortable label vertices;
[vertices,label,colortable]=read_annotation([dir_name '/label/rh.aparc.a2009s.annot']);
save color_table_rh_76.mat colortable label vertices;
[vertices,label,colortable]=read_ann... |
220ac5564361d1a54ab7435499569a4da8885d98fb88175240e643a60542fc9f | MATLAB | 557 | 21 | % Generate a set of covariance matrices according to a Wishart distrib.
% Inputs :
% N : the size of the matrices
% I : the number of matrices
% Df : the degee of freedom
% Sig : the parameter of the wishart disrib
%
% Outputs :
% COV : a set of I covariance matrices
% Sig : the parameter of the wishart di... |
320311abfdaea64a294783b3d1149f85462517bccd153f7158c975068126acac | MATLAB | 557 | 16 | function [BF, BC] = bimodalitycoeff(x)
% check if x is vector and if it is -
% represent it as a column-vector
if isvector(x), x = x(:); end
% determine the data size along its first dimension
N = size(x, 1);
% determine the data skewness (unbiased)
S = skewness(x, 0);
% determine the data kurtosis (unbiased)
% (the n... |
552b04c9b7f346cfa923e697e94d85985e039e1845bc59503e09122b66930288 | MATLAB | 557 | 36 | function weighting = zef_barycentric_weighting(weighting_type)
%
% zef_barycentric_weighting
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - weighting_type
%
% TODO: explanation.
%
% Outputs:
%
% - weighting
%
% TODO: explanation.
%
switch weighting_type
case 'FF'
weighting = [1/10 1/20];
... |
5d44e12d9da9c04b447bc5fad26a13886d2fad6d31199659e8ead9dd6600d399 | MATLAB | 557 | 15 | function find_pattern_completion(app)
update_log(app, 'Finding Pattern Completion Neurons');
[app.pattern_completion_nodes, app.auc_threshold,app.node_threshold, app.node_scores] = identify_motifs(app.params, app.best_model, app.node_performance, app.random_ensemble_performance, app.ensemble_nodes, app.params.node_th... |
0e10e6b06c078fef1e6e913a8cf5f77f0a8185450ed9bdf387b0a30c8b7c549e | MATLAB | 558 | 39 | function M = zef_surface_scalar_matrix_FGn(nodes,tetra,g_i_ind,n_ind,scalar_field)
%
% zef_surface_scalar_matrix_FGn
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - g_i_ind
%
% TODO: explanation.
%
% - n_ind
%
% TODO: explanation.
%
... |
9f2d3533254a323a21bc9423207aeb7b82b15ebdac23642f2e0587109078fbc0 | MATLAB | 558 | 18 | function browse_rois(app)
q = figure('Renderer', 'painters', 'Position', [-100 -100 0 0]); %create a dummy figure so that uigetfile doesn't minimize our GUI
% see
% https://www.mathworks.com/matlabcentral/answers/296305-appdesigner-window-ends-up-in-background-after-uigetfile
% Onur Ozdemir solution
% Hacky but whate... |
f1f0e40122284365b7815746421cec160b99e4a18254b23193d45b6f0006f55a | MATLAB | 558 | 18 | function t = iseuclidean(D)
% D is (1 by pairs)
m = size(D,2);
% make sure it's a valid dissimilarity matrix
n = ceil(sqrt(2*m)); % (1+sqrt(1+8*m))/2, but works for large m
if n*(n-1)/2 == m && all(D >= 0)
D = squareform(D);
else
warning(message('stats:iseuclidean:NotDistanceMatrix'))
t = false;
return
... |
405593200bf8df6eebb27c7d68d49d406a062c7f203a3d8a86062300b9ae51d0 | MATLAB | 560 | 8 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef.inv_roi_sphere(:,1) = str2num(get(zef.h_inv_roi_sphere_1,'string'))';
zef.inv_roi_sphere(:,2) = str2num(get(zef.h_inv_roi_sphere_2,'string'))';
zef.inv_roi_sphere(:,3) = str2num(get(zef.h_inv_roi_s... |
9ef3afc4c4f4b926288eca67af5e975d6ab995c2ce51798402772d6c17c413e6 | MATLAB | 561 | 18 | function ET_unlock(handles)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%Enable,'off'
cellNames = fieldnames(handles);
for intPtr=1:numel(cellNames)
if ~isempty(strfind(cellNames{intPtr},'ptrButton')) ||...
~isempty(strfind(cellNames{intPtr},'ptrList')) ||...
~isempt... |
f2b233805c4cf36726259e8d71049d34dab361f322b9e36a51ebc4ef651ef516 | MATLAB | 561 | 14 | function angles_list = zef_ES_find_valid_separation_angle
% Function that evaluates all possible separation angles in order to obtain
% 5 different electrodes for a HD-TDCS 4+1 montage.
% Returns a list in the form of a table.
ell = zeros(360,6);
for i = 0:359;
ell(i+1) = i;
ell(i+1,2:6) = zef_ES_4x1_sensors(i... |
40009018186cbb7b82c3a2739314afcbcbaccda59867210683b526bf8a2c368c | MATLAB | 562 | 22 | function ETO_Scrollwheel(hObject,eventdata)
global sFigETO;
if ~isfield(sFigETO,'ptrSliderLibrary') || isempty(sFigETO.ptrSliderLibrary),return;end
%calculate new position
dblMove = eventdata.VerticalScrollCount*eventdata.VerticalScrollAmount;
dblNewVal = sFigETO.ptrSliderLibrary.Value - dblMove/100;
if dblNe... |
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