sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
27294e0ce8232ffbbb47288d53297ce36426438c5048f7983a9d1c007a4f4421 | MATLAB | 973 | 30 | function zef = zef_dataBank_startNameChange(zef)
if nargin == 0
zef = evalin('base','zef');
end
zef.dataBank.app.Tree.Enable='off';
zef.dataBank.selectMultiple=false;
zef = zef_dataBank_getHashForMenu(zef);
zef.dataBank.nameChangeapp=zef_dataBank_nameChange_app;
zef.dataBank.nameChangeapp.Label_oldName.Text=z... |
bc85ba562381077e5a8f9a7da75abc33af07ba4834f3fed73a00392f11e00cc8 | MATLAB | 973 | 43 | function [C,I] = findmin(A,minnum)
%findmin Finds the lowest n values from a vector
% syntax: [C,I] = findmin(A,n)
% input:
% - A: data vector
% - n: number of lowest values to be returned
% output:
% - C: Vector containing lowest values
% - I: Vector containing indices of lowest values
%
% Note: findmin is just an e... |
fb718a759e6839f66073f258c06c36fbe9adfdc8ad1bca3a8c0819dcd3337488 | MATLAB | 973 | 40 | function [varargout] = iff(cond, evalTrue, evalFalse)
%IFF 'if' expression implementation
% v = IFF(cond, evalTrue, evalFalse) returns 'evalTrue' if 'cond' is true,
% otherwise returns 'evalFalse'.
%
% This enables you to write succint one-liners like:
% signstr = iff(x > 0, 'positive', 'negative');
%
% Eith... |
025806818a208e704931805e15dec70b3c0bf42600679f7b956a814907aa1445 | MATLAB | 976 | 21 | function [colormap_vec] = zef_monterosso_colormap(colortune_param, colormap_size)
color_mat = [26 26 26; 0.2 11.8 13.2; 42.5 98.5 108.5; 203 203 100];
color_mat = color_mat';
c_aux_1 = floor(colortune_param*colormap_size/3);
c_aux_2 = floor(colormap_size - colortune_param*colormap_size/3);
colormap_vec_aux = [... |
3f6ffea6d7be8714b235056b719f938fb73d6db1b1b5510c12bfa5305d53e458 | MATLAB | 976 | 23 | function [conditional_probability] = calculate_frame_conditional_probability(frame, edge_potentials, node_potentials, z)
[num_frames, num_nodes] = size(frame);
log_likelihood = zeros(num_frames, 1);
%add nodes
log_likelihood = log_likelihood + sum(frame.*node_potentials',2);
%limit edge_potentials to one triangular... |
c420c8c0c551e463c490c84702661b52a64d2535b3c3ae4345cb2b6412bcf44d | MATLAB | 977 | 16 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if not(isfield(zef,'inv_synth_source'));
zef.inv_synth_source = [0 0 0 1 0 0 10 0 3 1];
end;
set(zef.h_inv_synth_source_1 ,'string',num2str(zef.inv_synth_source(:,1)'));
set(zef.h_inv_synth_source... |
45af4b2557ebdb950546d324ebc2c97de4ef5de7a577f0b2c99a66318c1c2f7e | MATLAB | 978 | 47 | % A = riemann_mean(B,epsilon,tol)
%
% Calcul du barycentre des matrice de covariances.
% A : baricentre des K matrices NxN
%
% B : Matrice NxNxK
% epsilon : Pas de la descente de gradient
% tol : arret de la descente si le crit�re < tol
function [A, critere, niter] = riemann_mean(B,args)
N_itermax = 100;
if (nargin<... |
c460e2d344f511913b858bf79fa794dcd41bb877b7d621982a8957f22c80ab8b | MATLAB | 979 | 33 | function KLdiv = KLtransition(hmm)
KLdiv = 0;
if length(size(hmm.Dir2d_alpha))==3
Q = size(hmm.Dir2d_alpha,3);
else
Q = 1;
end
% KL divergence for the transition and initial probabilities
if Q > 1
for i = 1:Q
kk = hmm.train.Pistructure;
KLdiv = KLdiv + dirichlet_kl(hmm.Dir_alpha(kk,i)',hmm.... |
077db37ae439c6c2dedf34dcbe2ff5ae61141b5ae9f9c298b5cdc4613c8b7edb | MATLAB | 980 | 32 | function S = openETSbatch( full_path_filename )
% open dataset
ets = full_path_filename; % fullfile( path, file );
exp = '\d{8}[a-z]_\d*';
name = regexp(ets,exp,'match','once');
data = bfopen(ets); % creates cell array, frames x 2
metadata = data{ 1, 2 };
[timing,interval] = bfTime( metadata )... |
605a7d8252e91057c098ca786906da53a7ca799edf47a424f74006679387cf04 | MATLAB | 980 | 27 | function [neighborhoods] = initialize_neighborhoods(num_neurons, num_udf, edge_constraints)
% Reviewed Darik A O'Neil 04-15-2023
%
% Inputs:
% num_neurons is a scalar indicating total number of neuronal nodes
% num_udf is a scalar indicating total number of udf nodes
% edge_constraints is a boolean indicating whether ... |
32730c8bc2dae66865658440abe746576698a9d16cc6cc98564410fc26dff274 | MATLAB | 981 | 33 | function [valueVector,yVector,xVector] = mat2idx(matrix)
%mat2idx Transforms a matrix into a triple of indexed vectors; one
% vector containing x-locations; one vector containing y-locations;
% and one vector containing the value so that v(i) corresponds the
% original value of the input matrix at y-location y(i) a... |
54c2209a7adb61eddbe4a28d11321ab379dc3f0f3a497ed258be47b71b1ed32d | MATLAB | 981 | 52 | % A = riemann_mean(B,epsilon,tol)
%
% Calcul du barycentre des matrice de covariances.
% A : baricentre des K matrices NxN
%
% B : Matrice NxNxK
% epsilon : Pas de la descente de gradient
% tol : arret de la descente si le crit�re < tol
function [A critere niter] = opttransp_mean(B,args)
Imat = size(B,3);
N_itermax =... |
592014307a0f90c03d7078f4b2a4a9ec2ce1bbfaf733ae8395e40a4bd5aec684 | MATLAB | 981 | 48 | % A = riemann_median(B,epsilon,tol)
%
% Calcul du barycentre des matrice de covariances.
% A : baricentre des K matrices NxN
%
% B : Matrice NxNxK
% epsilon : Pas de la descente de gradient
% tol : arret de la descente si le critère < tol
function [A critere niter] = riemann_median(B,args)
N_itermax = 100;
if (nargi... |
76647f5baaa6cfacff0b70b8711235d5cfd86b5b3d981db5a3c476afd5a4ea68 | MATLAB | 982 | 42 | function [node_scores] = grab_node_scores(graph_structure,overcomplete_edges,metric,num_original_nodes,node_score_neurons_only)
% Function to grab node scores
% Darik O'Neil 12-14-2021 Rafael Yuste Laboratory
%
% Metric Order: 00(1) 01(2) 10(3) 11(4)
if node_score_neurons_only
graph_structure = graph_structure(1:... |
d402c18c3995f76937ba510d1db5c407ff37fd36b3e0852bad0cc36c58527c77 | MATLAB | 982 | 38 | function ret = run_cluster_job(file_path, profiler_on)
try
if profiler_on
profile on
end
ret = cell(0);
ret{1} = maxNumCompThreads;
%file_path = '/scratch/project_2002680/Kalman/Noise14dB/data/';
%file_path = '/media/datadisk/paavo/thesis_results/TestProject/';
orig_file = 'P20N20_SEP_withbig.mat';
save_file = 'P2... |
652d2cb6c35efefbafbdcb52c29f71ff32fbf62398d6503999102cd6bdcd486a | MATLAB | 983 | 41 | function zef = zef_dataBank_setData(zef)
if nargin == 0
zef = evalin('base','zef')
end
dbFieldNames=fieldnames(zef.dataBank.tree.(zef.dataBank.hash).data);
for dbi=1:length(dbFieldNames)
if strcmp(zef.dataBank.tree.(zef.dataBank.hash).type, 'gmm')
zef_load_GMM(zef.dataBank.tree.(zef.dataBank.hash).d... |
99516ef12e7a2774ff9cf99ea26de9adf9ced27452935c16e8cb241b66619d76 | MATLAB | 983 | 22 | function EEG = converterET2EEG (ET, ET_stream, EEG_stream)
for ss=1:length(fieldnames(ET))
slide_id = strcat('Page',int2str(ss));
for bb=1:length(fieldnames(ET.(slide_id)))
BB_id = strcat('Product',int2str(bb));
seg_dur=[];
for iter=1:size(ET.(slide_id).(BB_id),1)
ET_i... |
50bc38dddd8057df3ae1c60e0f992f7998b43b39b10be5723427b95f0f1ab61d | MATLAB | 984 | 29 | % OV_MATLAB toolkit
% OV_popOutputBuffer.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
% pops the last chunk in the output buffer
% MEANT TO BE USED IN OPENVIBE
function [box_out, start_time, end_time, linear_matrix_size, linear_data] = OV_popOutputBuffer(box_in, output_i... |
d0bd6b2b8f6b565639db999ca61964f0bf260dedb5f4e34ea0039339e5727b6b | MATLAB | 984 | 36 | % res = VerifySha1( myobj, filename )
%
% Verifies the SHA1 sum of the file specified by filename.
% If filename is relative, it is appended to the run dir.
% Absolute path/filenames are also supported. Since this is
% a potentially long operation, it uses the 'disp' command
% to print progress info... |
75917238f1136bb927a6cc618cc0d2002803baac473c68d7e80911158c815327 | MATLAB | 986 | 33 | function [valueVector,yVector,xVector] = mat2index(matrix)
%mat2index Transforms a matrix into a triple of indexed vectors; one
% vector containing x-locations; one vector containing y-locations;
% and one vector containing the value so that v(i) corresponds the
% original value of the input matrix at y-location y(... |
b97832943e887da62abcf4c1f813dc6f215ba6a7464247806a5284beb1fd05d7 | MATLAB | 989 | 25 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if not(isempty(zef.s_points))
zef_process_meshes;
end
zef_i = length(zef.lf_bank_storage)+1;
zef.lf_bank_storage{zef_i}.source_interpolation_ind = zef.source_interpolation_ind;
zef.lf_bank_stora... |
4d1067ed95cdfbb098eff17c24c73dc0235f51650a652adf5b4c909257af62ca | MATLAB | 990 | 44 | function distance_vec = zef_distance_to_mesh(p,nodes,triangles)
nodes = nodes';
c = nodes(:,triangles(:,1));
p = p';
v_1 = nodes(:,triangles(:,2))-nodes(:,triangles(:,1));
v_2 = nodes(:,triangles(:,3))-nodes(:,triangles(:,1));
v_3 = cross(v_1,v_2);
v_3 = v_3./repmat(sqrt(sum(v_3.^2)),3,1);
distance_vec = zeros(1,siz... |
89f66b1c81c2614e0c98e73524e1afebb91602687d72272cb9c63ba6c50d79d0 | MATLAB | 995 | 19 | function zef = zef_fix_sensors_get_functions_array_size(zef)
n_sensors = size(zef.([zef.current_sensors '_points']),1);
if isequal(n_sensors,0)
n_sensors = 1;
end
if not(isfield(zef,[zef.current_sensors '_get_functions']))
zef.([zef.current_sensors '_get_functions']) = cell(1,n_sensors);
end
zef.([zef.current_sensors... |
19040c0324d912de319cf92d005efd31458341cd7350c2e1eb6046b7dc674c68 | MATLAB | 996 | 28 | function erp_TANOVA_plot(info_TANOVA,plottype)
if nargin<2
plottype = 'clusterperm' ;
end
hold on
switch plottype
case 'clusterperm'
area(info_TANOVA.time,info_TANOVA.DISS) ; % plot the DISS vs time
plot([info_TANOVA.time(1),info_TANOVA.time(end)],...
[info_TANOVA.thres... |
f83ae960c01fe4a5657dce308be1f4b1366d607c17ebc26ebdfe97d59bef5375 | MATLAB | 996 | 39 | function h_output = zef_find_object_handles(zef, h_input, h_output, node_name)
if nargin < 3
h_output = struct;
end
if nargin < 4
node_name = 'zef';
end
fields = fieldnames(eval(node_name));
for i = 1 : length(fields)
aux_string = [node_name '.' fields{i}];
aux_field = eval(aux_string);
try
... |
1405c0d259cfb00718d108000f5f5ae3db50c489b25bd06a34ed8017d6429269 | MATLAB | 997 | 30 |
load('postprandial_somnolence_branching_parameter')
figure
for t=1:77
r=normrnd(0,0.1);
plot([1.2,1.8],[wakefulness_ratio(t),drowsiness_ratio(t)],'--o','linewidth',1,'color',[0.7+r,0.7+r,0.7+r],'MarkerFaceColor',[0.7+r,0.7+r,0.7+r])
hold on
end
h=boxplot(wakefulness_ratio','positions',[1.2],'colors... |
8868573b529244af9d1756f956d4117ca5c67dcc34a9f9e4bbb79207301b9f54 | MATLAB | 997 | 29 | function [models] = pre_allocate_models(params)
z=1;
for j = 1:numel(params.s_lambda_sequence)
for k=1:numel(params.p_lambda_sequence)
model.s_lambda = params.s_lambda_sequence(j);
model.p_lambda = params.p_lambda_sequence(k);
model.structure = params.learned_structu... |
10b8dc66cca2ed4d52ed2e2475c4e643bdc7baaaa8d5814afffc1642dd7f5554 | MATLAB | 998 | 14 | function [colormap_vec] = zef_contrast_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);
c_aux_3 = floor(colormap_size/2);
colormap_vec = [([20*[c_aux_3:-1:1] zeros(1,colormap_size-c_aux_3)]); ([15*(colormap_si... |
b10851db19714ba977325eb0d961c8a09164e6b9a712aa605d3c20753cdf779f | MATLAB | 998 | 33 | function strGreek = getGreek(intChar,strUpLow)
%getGreek Get Greek letter; 1=alpha,25=omega
% strGreek = getGreek(intChar,strUpLow); e.g., "getGreek(1,'lower')"
%OR:
% strGreek = getGreek(strChar,strUpLow); e.g., "getGreek('rho','upper')"
if ~exist('strUpLow','var') || isempty(strUpLow)
if ischar(intChar)
... |
41ccfb939354aee0b521385f99dc89cb0c13f407f2a6f6312b2343470fe75d23 | MATLAB | 999 | 30 | function vec = zef_ES_error_criteria(zef)
if nargin == 0
zef = evalin('base','zef');
end
%% Variables and parameters setup
load_aux = eval('zef.y_ES_interval');
B = cell2mat(load_aux.residual);
B = B/max(abs(B(:)));
E = cell2mat(load_aux.field_source.relative')';
F = cell2mat(load_aux.field_source.magnitud... |
c4aca752022263b5c28c2335723530c6e6327e7c6f5e1e8312c835a5d6fdf15d | MATLAB | 999 | 37 | function h = scatterim2(X,Y,images,scales)
% Make a 2-D scatterplot using one or several images as glyphs
%
% h = scatterim2(X,Y,images,scales)
%
% Images are painted at the locations of pairs (x,y) from the vectors X and
% Y. Images can be either a cell array of images or a single image. An
% image can either be scala... |
2edfd77fcf8588bb7fd853ecfa82f7c5ff453285b300196c4c0384b0f7b5546e | MATLAB | 1,001 | 33 | function zef = zef_strip_tool_delete(zef)
struct_aux_1 = cell(0);
struct_aux_2 = zef.([zef.current_sensors '_strip_cell']);
strip_id = struct_aux_2{zef.strip_tool.current_strip}.strip_id;
domain_type = 'sensor_info';
if isfield(zef, zef.([zef.current_sensors '_get_functions']))
for i_ind = 1 : length(zef.([zef.curre... |
2080f7b377c3a7fdd2fdfa842f35c1f378353be83a5eb3b5ea8916d185461b47 | MATLAB | 1,002 | 42 | function slider_value_new = zef_update_colorscale_max(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,'Chi... |
49ef2175ecd531aba77f7e42f61bcf6a5c4f66899a8a0aa419ccf0f2235672ab | MATLAB | 1,003 | 25 | zef_create_dipolar_pair_update_struct;
if isfield(zef,'h_create_dipolar_pair_arrow')
delete(zef.h_create_dipolar_pair_arrow);
end
zef.aux_field = sqrt(zef.create_dipolar_pair_ori_x.^2 + zef.create_dipolar_pair_ori_y.^2 + zef.create_dipolar_pair_ori_z.^2);
zef.create_dipolar_pair_ori_x = zef.create_dipolar_pair_or... |
9fc9fcbe67c819ac0c739b201cc73ca51c2e78e7e4cfc02c326c89ee58139b1c | MATLAB | 1,004 | 38 | function [residuals,W] = getresiduals (X,T,Sind,maxorder,order,orderoffset,...
timelag,exptimelag,zeromean,W)
%
% Compute residuals - useful when using a global model to remove global trends
%
% INPUT
% X time series
% T length of series
%
%
% OUTPUT
% residuals
% W
%
% Author: Diego Vidaurr... |
72cde67da390a4419420d815ef40a1db837da9df69d2cc1493d2eef51a14fed7 | MATLAB | 1,006 | 32 | % crop in x-y plane: get crop from max/sd projection, crop stack
function [ cstack, rectout ] = cropStack( stack )
% cstack is the cropped stack
% J are the coordinates selected by the user
%maxpro = projectMax( stack );
[meanp,maxp,stdp]=projMeanMaxSTD(stack);
%maxpro = histeq( maxpro );
minp = min(meanp,[],'all');
im... |
e070f4bdcff93907c175943ef90344534635b6118269b05555e0c16d8814e64d | MATLAB | 1,007 | 32 | %%
load('postprandial_somnolence_lifetime')
figure
for t=1:77
r=normrnd(0,0.1);
plot([1.2,1.8],[wakefulness_life_time(t),drowsiness_life_time(t)],'--o','linewidth',1,'color',[0.7+r,0.7+r,0.7+r],'MarkerFaceColor',[0.7+r,0.7+r,0.7+r])
hold on
end
h=boxplot(wakefulness_life_time','positions',[1.2],'c... |
f0f4d074bd42c4aaaa1e0b6362b21205214ff3cdc4a6a7a8290e2a497a57a364 | MATLAB | 1,008 | 31 | function plot_training_optimization_structural_learning(app)
%need
models = app.model_collection.models;
model_stats=characterize_learned_models(app.model_collection.models);
interpolated_s_lambda = linspace(min(model_stats.s_lambda), max(model_stats.s_lambda), 100);
interpolated_p_lambda = linspace(min(model_sta... |
25866717c0b5c7dfa75a33f5091d5ad881b4b6d9ca515a5fc42c1577a773cabe | MATLAB | 1,009 | 23 | function [frame_log_likelihoods] = compute_log_likelihood_no_loop_by_frame(nodePotentials,edgePotentials,logZ,samples)
%Function to compute frame-wise log_likelihood
%Initialize
[sampleCount,nodeCount] = size(samples);
log_likelihood = zeros(sampleCount,1);
%add nodes
log_likelihood = log_likelihood + sum(samples.*no... |
289fe236c1a28bdf1ea0f9a225d6da0773671658ceec82a40f0ea37c711e68d7 | MATLAB | 1,012 | 26 | function [p_lambda_sequence,s_lambda_sequence_glm,glm_options] = generate_lambda_sequences(p_lambda_count,p_lambda_min,p_lambda_max,p_lambda_distribution,s_lambda_count,s_lambda_min,s_lambda_max,s_lambda_distribution,params)
%Generate pLambda Sequence
if p_lambda_distribution
p_lambda_min_exp = log10(p_lambda_min)... |
8427a784524eed3d5099c9835410c43a76d01943aa1e1945e4dfd816d9e2545b | MATLAB | 1,013 | 47 | function zef_set_lights(lights_vec,varargin)
if isequal(evalin('caller','exist(''zef'')'),1)
zef = evalin('caller','zef');
else
zef = evalin('base','zef');
end
if not(isempty(varargin))
h_1 = varargin{1};
else
h_1 = eval('zef.h_axes1');
end
delete(findobj(h_1.Children,'Type','Light'));
for i = 1 : l... |
43cd1e59e7fe4e2554fadfa03949f582ceccf94a49ec2dfc678ee1c89b7083d5 | MATLAB | 1,014 | 29 | % OV_MATLAB toolkit
% OV_popOutputBufferReshape.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
% pops the last chunk in the output buffer
% MEANT TO BE USED IN OPENVIBE
function [box_out, start_time, end_time, linear_matrix_size, linear_data] = OV_popOutputBufferReshape(bo... |
96b6d4ecdc291566bbb1a61340998cfab7123079df4fc8cd73e98554658ec1fa | MATLAB | 1,015 | 35 | function List = adjMatrixToList(A, listForLinksIn)
%% Convert the adjacency matrix A to an adjacency list of who the connected nodes are,
% for connections into each node iff listForLinksIn == true, else
% for connections out of each node iff listForLinksIn == false.
% Node pair is considered connected iff A(i,j) ~= 0... |
3af726ff8d7cc91b6dcedb3eeb64ec1187aacdf21e1eb7f684f0365b84f458f5 | MATLAB | 1,017 | 28 | classdef BCFW < AbstractFW
methods
function th = BCFW(objective, varargin)
th = th@AbstractFW(objective, varargin{:});
th.algo_name = 'BCFW';
end
function step_size = iter(th, t)
m = randi(th.objective.M);
... |
76ef35f82b1875c5f949ad78b06710520a413c0e485ff1d7b4c52c14726a53de | MATLAB | 1,017 | 38 | function varargout = dimfun(intSplitDim,hFunc,matData,varargin)
%dimfun Performs hFunc over matrix split by supplied dimension
% varargout = dimfun(intSplitDim,hFunc,matData,varargin)
%split into cells
vecSize = size(matData);
strSplit = '';
for intDim=1:numel(vecSize)
if intDim==intSplitDim
strSplit = s... |
945b550c18352d8311291ee059308bd958d727dac159a2bfb8dc1c4952e4a69e | MATLAB | 1,017 | 35 | function V = pcapred_decomp (X,T,options)
% it assumes that X is centered
is_cell_strings = iscell(X) && ischar(X{1});
is_cell_matrices = iscell(X) && ~ischar(X{1});
is_struct = ~is_cell_strings && ~is_cell_matrices && isstruct(X);
orders = formorders(options.order,options.orderoffset,options.timelag,options.exptimel... |
0950169ccc8742d19e1684179c0199172a59d38eb96384ce531dfab4c4e13f0e | MATLAB | 1,019 | 15 | zef.use_gpu_graphic = get(zef.h_use_gpu_graphic,'Value');
zef.parcellation_type = get(zef.h_parcellation_type,'Value');
zef.parcellation_quantile = str2num(get(zef.h_parcellation_quantile,'Value'));
zef.cone_lattice_resolution = str2num(get(zef.h_cone_lattice_resolution,'Value'));
zef.cone_scale = str2num(get(zef.h_con... |
74a62d66247536881b3855de0dbfa4546321a0706028609bc044845034289410 | MATLAB | 1,022 | 47 | function ETC_preload(varargin)
%get globals
global sETC;
global sFigETC;
%% lock
uilock(sFigETC);
sFigETC.ptrButtonPreload.UserData = 'closed';
sFigETC.ptrButtonPreload.Enable = 'off';
sFigETC.ptrButtonPreload.Value = 1;
%% redraw image
%msg
hWaitbar = waitbar(0,sprintf('Loading frame %d/%d',1,sETC.int... |
5a6ce78cf6dbe6f9ed11b020830a301fa68d872abdbb552adc7a43d359e7f0d8 | MATLAB | 1,024 | 36 | function sETO = ETO_populateStructure(sETO)
%ET_populateStructure Prepares EyeTracker parameters by loading ini file,
% or creates one with default values
%check for ini file
strPathFile = mfilename('fullpath');
cellDirs = strsplit(strPathFile,filesep);
strPath = strjoin(cellDirs(1:(end-2)),filesep);
strI... |
683889743302e7f47ba3144e9f351304deaa9f4983d9e2f912a45f0597dca102 | MATLAB | 1,025 | 33 | %% make all reconstructions
%set all parameters!
% beamformer app needs to be open and set to 'Locations'
%choose node to add to
%enjoy!
%mne
[zef.reconstruction, zef.reconstruction_information]=zef_find_mne_reconstruction;
zef_dataBank_addButtonPress;
%sLoreta
[zef.reconstruction, zef.reconstruction_information]=z... |
b69385be4b9e9993f8fdb438d7f56b517cb85711e5f69105f4bc76b1309e5b22 | MATLAB | 1,025 | 30 | function expl_var = explainedvar_singleMAR(X,T,options)
% Tells how much variance (between 0 and 1) explains a (maximum-likelihood)
% MAR model on data X, parametrised by options
%
% Author: Diego Vidaurre, OHBA, University of Oxford (2016)
ndim = size(X,2); N = length(T);
if ~isfield(options,'order'), error('order w... |
5cda3bc46e2fbf3c8e7d12e3beed47056c6bd583100e0743ce5f7fd67cd150af | MATLAB | 1,026 | 37 | function c = redgreen(m)
%redgreen Shades of red and green color map
% redgreen(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... |
1684ed6306b79952bec5cfc530c53f766999b5a801083c09fb6ad9cfe2ee2454 | MATLAB | 1,030 | 40 | function wrapped_startup(app)
params = app.params; %pull current params
filename = app.file_data;
[~,name,~] = fileparts(filename);
data_directory=pwd;
data_directory = strcat(data_directory, filesep);
%Source Directory
%source_directory = uigetdir(pwd,'Select Programs Directory');
source_directory=pwd;
source_dir... |
b89d872ee0624adc85461a5d2ee2421ebc75f650689656361bc0775e59f9de4f | MATLAB | 1,030 | 40 |
z_inverse_results = cell(0);
data_tree = zef.dataBank.tree;
rec_ind = 1;
fn = fieldnames(data_tree);
for k=1:numel(fn)
node = data_tree.(fn{k});
if (strcmp(node.type, 'reconstruction'))
rec = node.data.reconstruction;
z_inverse_results{rec_ind} = rec;
rec_ind = rec_ind + 1;
end
en... |
0465ab98cc72a826efabe832f6b62e7467ca153056f50882ebf7bbf5d9ea6ceb | MATLAB | 1,033 | 39 | function zef = zef_ES_find_currents_recursive(varargin)
switch nargin
case {0,1}
if nargin == 0
zef = evalin('base','zef');
else
zef = varargin{1};
end
% UnFixing Electrodes
zef.h_ES_fixed_active_electrodes.Value = 0;
zef_ES_optimization_update;
zef.ES_active_electrodes = zef_ES_fix_active_electrodes(zef);
% 1st s... |
c19e7d69b476547a6308ef2e2765c960bd8528c30f3b6f60facfd48c4de367a7 | MATLAB | 1,033 | 23 | function [processed_data] = zef_simple_downsampling_filter(f, downsampled_frequency, sampling_frequency)
%Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
%This function processes the N-by-M data array f for N channels and M time
%steps. The other arg... |
ffb0c2c67979caa35c4d9339391b549852319e4cf7428f942a59d0a603bd6407 | MATLAB | 1,034 | 34 | % Display measured/predicted/corrected EMI spectra
% =========================================================================
clear all;close all;clc;
root = '~\Deep Learning based EMI Elimination Codes and Data\';
dir = [root 'demo\results\'];
sub_file = {'label','output'};
Nfile = size(sub_file,2);
ksize = [128 ... |
baa24661c0c14814150acca9debd0c6414392d6f317958963230a81d66c54355 | MATLAB | 1,035 | 31 | function [varDataOut,vecUnique,vecCounts,cellSelect,vecRepetition] = label2idx(varData)
%label2idx Transforms label-entries to consecutive integer-based data
%Syntax: [varDataOut,vecUnique,vecCounts,cellSelect,vecRepetition] = label2idx(varData)
varDataOut = nan(size(varData));
vecUnique = uniquetol(varData,1e-10... |
217cc5d2cd30f87d328282038736762cb815d8408e6588b6ccd1f73cf088fed6 | MATLAB | 1,036 | 21 | function [dataOUT]=correct_bad_lines(dataIN)
%%R.S: Modified on 09/25/18
if isempty(dataIN.Stimuli.bad_lines) || isfield(dataIN.Stimuli, 'bl_status')
dataOUT = dataIN;
else
bad_lines = dataIN.Stimuli.bad_lines(end:-1:1);
dataOUT=dataIN;
%Remove the bad lines
lines=dataIN.spikes{1}(~ismember(... |
746fa8423c899b620f64d874aa16cabcce9a3f76111dde65cd98dc63c6b62013 | MATLAB | 1,036 | 37 | function [sx, b0] = update_model_variance(tau, data)
% update variance for spike model
% ---
% [sx, b0] = update_model_variance(tau, data);
% --- data in spike window
% data.a : spike amplitude
% data.b : bias of spike data
% data.y : y(k,n) : window data
% data.Dt : Dt(k,n) = t(k,n) - T(k)
% -... |
9f877e9405b1c6a9463fa4e68b889ab7f64583ce916023814a296ffbfd5e86b8 | MATLAB | 1,037 | 35 | function zef_simple_plot_sphere_max(varargin)
%Plots a red sphere showing the maximizer of the reconstruction.
%The optional argument is the scale of the radius. This
%function can be either static or dynamical.
if not(isempty(varargin))
radius_val = varargin{1};
if length(varargin) > 1
color_val = vara... |
dd830814f3f1bcd642aa37097d82380c82a1a546870c2d8e6c4976fe0489eeb1 | MATLAB | 1,037 | 29 | function [hmm,Gamma,order] = hmmorder(hmm,Gamma,T,indexes)
% Reorder the states according to their mean ocurrence
%
% Author: Diego Vidaurre, OHBA, University of Oxford (2019)
exponent = 5; % this is to boost the main peak
K = size(Gamma,2);
mGamma = getFractionalOccupancy (Gamma,T,[],1);
if nargin>3, mGamma = mGamma(... |
804e0e1effa855fedff282676cb1bcdbae24f8265443de70f159864053390eed | MATLAB | 1,038 | 28 | function fnames = realign_nifti(raw_nifti_folder, folder_name, rid_list, modality)
if ~exist(folder_name,'dir')
mkdir(folder_name);
end
listing = dir(raw_nifti_folder);
fnames = {};
for i=1:length(listing)
if ~listing(i).isdir && strcmp(listing(i).name(end-3:end), '.nii')
rid = regexp(listing(i).name,'... |
c98ca1a7f29e306e3cbfe6613b3bac7b1a160f50e5627bdfb5fc18b9ac01e029 | MATLAB | 1,038 | 62 | function v = zef_surface_scalar_vector_Fn(nodes, tetra, n_ind, scalar_field)
%
% zef_surface_scalar_vector_Fn
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - n_ind
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% ... |
eb12b6fc8944f98b571ef646aca01992bdfc2e90721e88cf3af1098f2a87fba2 | MATLAB | 1,038 | 36 | function [data,M] = leakcorr (data,T,order)
% Correction for volume conduction, when working with source space M/EEG
% If order > 0, it performs Pasqual-Marqui's method (order refers to the MAR order)
% Pascual-Marqui et al. (2017)
% If order < 1, it performs symmetric orthogonalisation as specified in
% Colclough... |
c2a62b0897af4dddc2a602935953ac054cf0bfdc858f8d2220ca85e341c34407 | MATLAB | 1,039 | 32 | function [spike_num] = evaluate_spike_number(spike_info)
% evaluate spike number at evaluation sampling frequency
% [spike_num] = evaluate_spike_number(spike_info)
% --- Estimated spike info for overlap window
% spike_info.spike_num(n) = estimated spike number of n-th overlap window
% spike_info.twin{n} = tim... |
ad001f11d0c512cd4d7dd77a510a6d77a57e9dbaf0f43f1f39ded2b3539569d5 | MATLAB | 1,040 | 25 | function [ptrPanel,ptrSliderFrame,ptrEditFrame] = ETP_genMovieSlider(ptrMainGUI,vecLocation,sETP,sFigETP,fCallback)
%% set constants
%unpack location vector
dblSliderWidth = 0.8;
dblSliderHeight = 0.5;
%% make panel
ptrPanel = uipanel('Parent',ptrMainGUI);
vecColor = get(ptrMainGUI,'Color');
set(ptrPanel,'P... |
c2a6369c70701f526dfcc04223d93c4cf1652cc9caa9378152c21f332c51e04d | MATLAB | 1,044 | 37 | function c = redgreenyellow(m)
%redgreenyellow Shades of red and green color map
% redgreenyellow(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 len... |
c1f97323f4b0a4631dc7079eb9a9d755a9197253e5702850aa779e8ed264ac67 | MATLAB | 1,045 | 35 | function zef_simple_plot_sphere_min(varargin)
%Plots a red sphere showing the maximizer of the reconstruction.
%The optional argument is the scale of the radius. This
%function can be either static or dynamical.
if not(isempty(varargin))
radius_val = varargin{1};
if length(varargin) > 1
color_val = vara... |
1a60ee40d79882d410a42485357c0172dd574b173bd2adadb3ed69d4168db39f | MATLAB | 1,049 | 31 | function perDISRIB=bsliang_generatepermuteDISTRIB(inmat,LR_ind,Npermute)
perDISRIB=nan(4,2,2,Npermute); % 4*block, 2*turn, 2*LR_ind, Npermute
% inmat: block(4)*turn(3)*subj(197)
% permute inmat
wb=waitbar(0,'permuting');
for nper=1:Npermute
wb=waitbar(nper/Npermute,wb,'permuti... |
a0d8ac0d3932b3d239aa28481c08ec2b29380ef1b638c51e4f3b21d55aec3fad | MATLAB | 1,049 | 26 |
for zef_LeadFieldProcessingTool_index=1:zef.LeadFieldProcessingTool.bankSize
if zef.LeadFieldProcessingTool.app.BankTable.Data{zef_LeadFieldProcessingTool_index, 6}
zef.LeadFieldProcessingTool.bank2auxIndex=zef_LeadFieldProcessingTool_index;
zef_LeadfieldProcessingTool_bank2aux_bank2auxIndex;
... |
6112597c2bd6879e4dbe4e613adbf07d913c030c7d21dcc4b97329793320952b | MATLAB | 1,050 | 39 | function vp = padVP(vp,T,options)
% Unless a Gaussian distribution is used to describe the states, the state
% time courses are shorter than the data time series.
% This function adjusts the Viterbi path to have the same size than
% the data time series, padding the Viterbi Path with NaN.
%
% Author: Diego Vidaurre,... |
9f7b919d32b205064e8dab623a447c40c0fb00d2565c75374a6eef185ca3a76d | MATLAB | 1,053 | 42 |
%--------------------------------------------------------------------------------
% create_maze.m
%
% This demo is included in
% Canonical neural networks perform active inference
% Takuya Isomura, Hideaki Shimazaki, Karl J. Friston
%
% The MATLAB scripts are available at
% https://github.com/takuyaisomura/reverse_eng... |
e376f61e9d571221d52253b942133a94da074d6f72aa8a663a9b6dfc9fe1e3d5 | MATLAB | 1,053 | 32 | function simfun = map_similarity_funhandle(modality,keeppolarity)
if nargin < 2
keeppolarity = false ;
end
if keeppolarity
switch modality
case 'eeg'
simfun = @(x,c) ( (x./vecnorm(x,2,2)) * ((c-mean(c,2))./vecnorm((c-mean(c,2)),2,2))' )' ;
case 'meg'
simfun = @(x,c) ... |
4894067edd4a8cb36e5e71f8595256bb02f047ffc30c3eab3705656ac4ae4dd8 | MATLAB | 1,056 | 30 | function matD = getCohensD(mat1,mat2,intDim)
%getCohensD Calculates Cohen's d measure of effect size
% matD = getCohensD(mat1,mat2,intDim)
%check input format
matD = nan;
if isempty(mat1) || isempty(mat2),warning([mfilename ':InputEmpty'],'Input empty; returning NaN');return; %if empty
elseif ndims(mat1) == 2... |
21b8ea0f5e0830a29194776c293d8fc4f999dad3a8d6fd056e014c6ad1a06af2 | MATLAB | 1,059 | 17 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef.mne_prior = get(zef.h_mne_prior ,'value');
zef.mne_type = get(zef.h_mne_type ,'value');
zef.mne_likelihood_snr = zef.inv_snr;
zef.mne_sampling_frequency = str2num(get(zef.h_mne_sampling_frequency,'... |
4a8b42a400c8d5c4e47b795189b1d85615e97102d84f94e389b648ebf568ee21 | MATLAB | 1,059 | 48 | function [Ytest d C] = kmeanscov(Ctest,Ctrain,Nclass,varargin)
if isempty(varargin)
method_mean = 'riemann';
method_dist = 'riemann';
else
method_mean = varargin{1};
method_dist = varargin{2};
end
% initialisation
Ntrial = size(Ctrain,3);
Y_old = zeros(Ntr... |
c70781e0b282079c93604d52762738330b44e2e93959579ed7dfe93d586c76d2 | MATLAB | 1,059 | 25 | if get(zef.h_iasroi_roi_mode,'value')==1;
set(zef.h_iasroi_plot_roi,'enable','on');
set(zef.h_iasroi_plot_source,'enable','on');
set(zef.h_iasroi_roi_sphere_1,'enable','on');
set(zef.h_iasroi_roi_sphere_2,'enable','on');
set(zef.h_iasroi_roi_sphere_3,'enable','on');
set(zef.h_iasroi_roi_sphere_4... |
17a82ea6c3437e449df1af57a05187e311ae5ee18f17aa89d37a772d550e0d8b | MATLAB | 1,060 | 38 | function matOut = imcontrastx(matIn,dblContrast,dblBaseline)
%imcontrast Change contrast of image
% matOut = imcontrast(matIn,dblContrast,dblBaseline)
%
% matIn can be matrix of class uint8 or double in range [0-1];
% dblContrast will change contrast by this factor (0.5 will half the
% contrast); dblBaseline is... |
3ed1bc354b59c0e04965df3e75f4f28c26db28c4ca212737e2fb1d43db1a9f6a | MATLAB | 1,061 | 39 | %Script for initializing possibly invisible advanced plotting options for GMM app.
if ~isfield(zef,'GMM_comp_ord')
zef.GMM_comp_ord = 1;
end
if ~isfield(zef,'GMM_dip_comp')
zef.GMM_dip_comp = [];
end
if ~isfield(zef,'GMM_ellip_comp')
zef.GMM_ellip_comp = [];
end
if ~isfield(zef,'GMM_dip_num')
if isfiel... |
460577bb1024090dcbf9fde3756c69aaa9c1602027d019938275d1126884c4b7 | MATLAB | 1,062 | 44 | %% initialize
clear; clc;
disp(' Copy original files >> ');
pathCurrent = pwd;
cd ../temp
load('tempFileForAnalysis.mat');
cd(pathBIDS);
cd derivatives
dirPrep = 'spm-preproc';
mkdir(dirPrep); cd(dirPrep);
pathPrep = pwd;
cd(pathCurrent);
%% make directories
BIDS = spm_BIDS(pathBIDS);
subdir = BIDS.participants... |
838592d7f1dc5086601373d5c4bc42b5a938a0478b8af98fd214a7f1c0332b3c | MATLAB | 1,064 | 49 | % A = riemann_trimmed_mean(B,epsilon,tol)
%
% Calcul du barycentre des matrice de covariances.
% A : baricentre des K matrices NxN
%
% B : Matrice NxNxK
% epsilon : Pas de la descente de gradient
% tol : arret de la descente si le critère < tol
function [A critere niter] = riemann_trimmed_mean(B,args)
N_itermax = 10... |
8bed6cba92d38647fc9bfcf763e7fa14a265dc32cb9e8a0066b36c9669b3261c | MATLAB | 1,067 | 46 | function [tetra_ind_out, face_ind_out] = zef_find_adjacent_tetra(tetra,tetra_ind,face_ind)
tetra_ind = tetra_ind(:);
face_ind = face_ind(:);
ind_m = [ 2 4 3 ;
1 3 4 ;
1 4 2 ;
1 2 3 ];
tetra_ind_out = tetra_ind;
face_ind_out = face_ind;
triangles = zeros(length(tetra_ind),3);
for i = 1 : 3
I = sub2i... |
e7a8142d535c2b6e1d70a9df223cbfaf28481d5f9e95416db58f9447ce67a043 | MATLAB | 1,067 | 43 |
if not(isfield(zef,'GMModel'))
zef.GMModel = struct;
end
if not(isfield(zef.GMModel,'frame_number'))
zef.GMModel.frame_number = 1;
end
if not(isfield(zef.GMModel,'max_n_clusters'))
zef.GMModel.max_n_clusters = 20;
end
if not(isfield(zef.GMModel,'credibility'))
zef.GMModel.credibility = 0.90;
end
i... |
5668a504fafa794427718b3b0b2ed1570078a19b7c84ab95c7f090dce8f14647 | MATLAB | 1,068 | 35 | function zef_plot_GMModel_max(varargin)
%Plots a red sphere showing the maximizer of the reconstruction.
%The optional argument is the scale of the radius. This
%function can be either static or dynamical.
if not(isempty(varargin))
color_val = varargin{1};
else
color_val = 0.7*[0 1 1];
end
[X_0,Y_0,Z_0] = sph... |
360061c3f6e3c594d5edef36e725d7776180b215d87c207ec12e88e7416a8ba2 | MATLAB | 1,071 | 24 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if isfield(zef,'h_lf_bank_tool')
if isvalid(zef.h_lf_bank_tool)
set(zef.h_lf_item_list,'Value',cell(0),'Items',cell(0),'Multiselect','on');
end
end
zef.lf_item_list = cell(0);
for zef_... |
981eb5044aaf4e91b32fe2ab9943a5d323a78210ccc09eea7c67e8e2231adc5b | MATLAB | 1,071 | 27 | function wrap_seeds_into_optimization(app)
params = app.params;
model_collection = app.model_collection;
model_stats = characterize_learned_models(model_collection.models);
s_lambda = optimizableVariable('s_lambda', [params.s_lambda_min, params.s_lambda_max], 'Type', 'real');
p_lambda = optimizableVariable('p_lambda'... |
45410c0ab4345fffdd5bc77f1700b2d46ecb8f49c807223531c0ecd57a584b13 | MATLAB | 1,073 | 39 | % myobj = SetMetaData( myobj, metadata_struct )
%
% If a run is in progress, set meta data to be added to the
% next output file set. Meta data must be in the form of a
% struct of name/value pairs.
%
function [s] = SetMetaData( s, meta )
if( ~isstruct( meta ) )
error( 'Argument to SetMetaData ... |
d90e0f189c8b7919720fc7571ec6377055a892d371dc987faa92906bbd8d22ef | MATLAB | 1,073 | 46 | function [plv, f] = PLV_nerve(spikes,stim,fs,TW)
%% Calculate PLV from spike data
%Sooo, how should I do this ....
%Gonna start with treating each spike like a delta function and see how
%well this train of deltas phase lock to a stimulus
%fs = sampling rate of stimulus
%spikes = in Nel format
%stim = vertical vector
%... |
03fb4bbdaef4781e969f88e65ffb40783128300978f2362bb234eb886e6dd5f9 | MATLAB | 1,074 | 31 | function strPath = ET_getIniPath()
try
if isdeployed && ismac
NameOfDeployedApp = 'EyeTracker'; % do not include the '.app' extension
[~, result] = system(['top -n100 -l1 | grep ' NameOfDeployedApp ' | awk ''{print $1}''']);
result=strtrim(result);
[status, result] = system(['ps xuwww -p ' result ' | t... |
1ce16a1ec47ad31e7dd7bd245225ed50ee23bd7a7d1ca6542b2a6759a4eb7bdc | MATLAB | 1,074 | 36 | %Copyright © 2019- Sampsa Pursiainen & GPU-ToRRe Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre
function [nodes,triangles,interp_vec] = zef_triangular_mesh_refinement(nodes,triangles)
eps_val = 15;
n_nodes = size(nodes,1);
n_triangles = size(triangles,1);
nodes = [nodes;
(1/2)*(nodes(trian... |
a6277f423a7fc83c70382b616b96c495cbf2cea4a9bde81e9364ca61cd06f8b7 | MATLAB | 1,076 | 34 | %Copyright © 2018- Joonas Lahtinen, Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef_GMM_export(save_file_path,GMM,saved_ones)
if not(isempty(save_file_path)) && prod(not(save_file_path==0))
[zef_aux_file,zef_aux_path] = uiputfile('*.mat','Select Gaus... |
24756d0f811cad95e8dba047726243fd9d6ca99d4abe5c524f1aa1545fd5e5ff | MATLAB | 1,079 | 18 | function [condition_number, volume, longest_edge] = zef_condition_number(nodes, tetra)
ind_m = [1 4 7; 2 5 8 ; 3 6 9];
Aux_mat = [nodes(tetra(:,1),:)'; nodes(tetra(:,2),:)'; nodes(tetra(:,3),:)'] - repmat(nodes(tetra(:,4),:)',3,1);
volume = (Aux_mat(ind_m(1,1),:).*(Aux_mat(ind_m(2,2),:).*Aux_mat(ind_m(3,3),:)-Aux_mat(... |
4bff212f9cf576ae0ca2736a92842ba735e2beaa126b09d1ca282c4635a3ccac | MATLAB | 1,079 | 27 | function zef = zef_ES_recursive_search(zef, num_lattice)
zef.ES_step_size = num_lattice;
zef_ES_find_currents;
adapted_y_ES{1} = zef.y_ES_interval;
original_window = zef.ES_step_size;
adapt_instances = zef.ES_step_size; % M = Number of adaptive instances
adapt_window = 40; % K = Size of the adaptive wi... |
7e3b2842ef4aa2cc81a83e88d63cfb9c36aed0eb1334a5216ebb91410835b1de | MATLAB | 1,079 | 30 | function generate_optimization_plot(app)
app.optimization_plot = axes('Parent',...
app.OptimizationPanel, 'Units', 'pixels', 'OuterPosition',...
[21 192 860 518], 'InnerPosition', [60.4 27.4 815.6 663.3],...
'Box', 'on');
app.optimization_plot.Title.FontName = 'Arial';
app.optimization_plot.Title.Font... |
0d8d8bdbe23971571e4228f7298e8ed49abbc001021b5ba794bfc290d1a60044 | MATLAB | 1,082 | 38 | function [residuals,W] = getresidualslogistic (X,T,Ydim)
%
% Compute residuals - for logistic models this amounts to just saving the
% data Y values (class labels) being predicted.
%
% INPUT
% X time series
% T length of series
%
%
% OUTPUT
% residuals
%
% Author: Diego Vidaurre, OHBA, Universit... |
9540c61ac9494225f1432ebe8fe482b4d7fa106fe0568b8bad961a6def06c2c2 | MATLAB | 1,082 | 31 | % ´ÓÊý¾ÝÀï»ñÈ¡steps£º
% load DATA
% steps=sort(DATA(5).Id_Di.data(1,1,1).rawdata(:,1))';
steps=[1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,5,5,5];
ls=length(steps);
sim_n=10000;
curves=nan(5,sim_n);
slopes=... |
c6aec701f0a56a41167b263aab147fb6a28f738fddc7f5f920d87a88044da9dd | MATLAB | 1,086 | 51 | clear
load('Mseq_IAC_ITD.mat')
EEG_fs=4096;
Sound_fs = 48828.125;
IAC_val = 1;
ITD_val = 500e-6;
EachPoint = 2441/Sound_fs; %each point in M_seq is roughly 50ms
AddPoints_ideal = EachPoint*EEG_fs;
AddPoints = round(EachPoint*EEG_fs);
CompensateEvery = ceil(1/(AddPoints - AddPoints_ideal));
Mseq_sig =... |
4f859e1991716d5a87f1ad1ebaf94e25fea698c3e1d854f8eafcd0342865f9f6 | MATLAB | 1,089 | 74 | function M = zef_volume_scalar_matrix(nodes, tetra, scalar_field, weighting)
%
% zef_volume_scalar_matrix
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% - weighting
%
% TODO: explanation.
%
% ... |
77c5db7a02b6d19e8035414837e8da516fd8e4e6f4fd5414262e3c27a8866724 | MATLAB | 1,089 | 42 | function wrapped_run_all(app)
% panel one
if isempty(app.is_validated)
validate_data_button_pushed(app);
end
unlock_buttons(app, app.params.stage);
% panel two A
app.TabGroup.SelectedTab = app.SLTab_2;
app.TabGroup2.SelectedTab = app.StructuralLearningTab;
perform_stru... |
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