sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
62aa46881788f18ca2aa856e7e33b4c06b6bdef4760282ab24ae3e148c32caf5 | MATLAB | 859 | 25 | function data_table = zef_dpq_delete(zef)
if nargin == 0
zef = evalin('base','zef');
end
data_table = eval('zef.h_dynamical_plot_queue_table.Data');
selected_ind = eval('zef.dpq_selected');
aux_ind = setdiff([1 : size(data_table,1)]', selected_ind);
data_table = data_table(aux_ind,:);
if size(data_table,1) >= ... |
d50e0771c600b2f2e2302a363dd4346a9aac1fae9d2206f3268a05bf40a4db6b | MATLAB | 859 | 32 | function [dblAIC,dblAICc,LL] = aicfromr2(dblR2,k,n)
%aicfromr2 Calculate AIC from R^2
% [dblAIC,dblAICc,LL] = aicfromr2(dblR2,k,n)
%Inputs:
%dblR2: R^2
%k=degrees of freedom/number of model parameters
%n=number of samples
%
%Outputs:
%dblAIC: Akaike's information criterion
%dblAICc: corrected Akaike's infor... |
41c27541a93e48b14cc19d4f65f39140a3aacb2d4e6bb7e6165e0eb9f2172e36 | MATLAB | 860 | 25 | clear all;
[d,sr] = audioread('Directory');
audiowrite('Vocal4.m4a', d,sr);
%fcoefs = MakeERBFilters(sr,64,50,1.5);
fcoefs = MakeERBFilters(sr,64,50,3);
% Break the speech into subbands using the filters
% Each row of dsub is one of the 64 band-passed signals
dsub = ERBFilterBank(d,fcoefs);
% Pass each subband signa... |
ec8450b9a181ac59bb07e4dc3d408b3095594187b77ed1c94e428904a95187d6 | MATLAB | 860 | 33 | function [out, Amax] = findOutliersMAX( A, factor )
% factor = 5 seems to work at first
tic
Amax = projectMax(A);
Amax = im2single(Amax);
%sx = size( Amax, 1 );
%sy = size( Amax, 2 );
%sz = size( A, 3 );
% out = zeros( sx, sy, 'logical' );
maxmean = mean( Amax, 'all' );
maxstd = std(... |
f42f718c360fd1b2d9cb95ead70deb62bc008a1bc9dc528ffcffd3460b14f5a6 | MATLAB | 860 | 26 | function images = loadMNISTImages(filename)
%loadMNISTImages returns a 28x28x[number of MNIST images] matrix containing
%the raw MNIST images
fp = fopen(filename, 'rb');
assert(fp ~= -1, ['Could not open ', filename, '']);
magic = fread(fp, 1, 'int32', 0, 'ieee-be');
assert(magic == 2051, ['Bad magic number in ', fil... |
542e14e705e6bd9067e24c2a2d91a7f9d1603ff11b2974dda0b18167c10589c3 | MATLAB | 863 | 36 | % THIS FUNCTION IS PRIVATE AND SHOULD NOT BE CALLED BY OUTSIDE CODE!
%
%Edited by Jorrit: added identifier to connection failure to catch error
%
function [sm] = ChkConn( sm )
if( sm.in_chkconn )
return;
end
sWarn = warning('off');
sm.in_chkconn = 1;
if( sm.handle == -1 )
sm.handle = CalinsNetMex( 'crea... |
0e59f24367e57cdee143ec3dc3077141301f6b2acb74deb51793c2c4cb4bec53 | MATLAB | 864 | 28 | function hmm = hmmrotatepca(hmm,Gamma,XXGXX)
for k = 1:length(hmm.state)
% Orthogonalize W to the standard PCA subspace
W = hmm.state(k).W.Mu_W;
%[W,~] = svd(hmm.state(k).W.Mu_W,'econ');
% % Enforce a sign convention on the coefficients:
% % the largest element in each column will have a posi... |
35bfc91cbb0c16c24353e87617cc3913049ccd5c5e04d8f3ce03e50ad403d551 | MATLAB | 864 | 37 | function [intTrough,dblTrough] = findtrough(vecV,intLoc,intDirection)
%findtrough Finds nearest trough in leftward (-1) or rightward (+1) direction
% [intTrough,dblTrough] = findtrough(vecV,intLoc,intDirection)
if intDirection == -1 %left
intTrough = nan;
while isnan(intTrough) && intLoc > 2
dblDist = vec... |
413a156b6189483aab2ff06c257d64d8aae6cc28a2ad58033fdc35a3f02db59d | MATLAB | 865 | 26 | function export2igorAPP( BS, timing, fname )
% fname is a full path name, or saves to current folder
% custom function to store processed ROIs
% to be read by Igor (or MATLAB)
% S is the structure returned by roi2stats3D and processROIs
% sometimes called "baseStats"
ncells = size(BS.ROI,2);
npoints = size( BS.ROI(1... |
c3078a3a156c48944669c5c1513cf84e483c577ebd806eee78ad74c22f9a29c6 | MATLAB | 865 | 38 | function slider_value_new = zef_update_colorscale_min(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... |
d21a03d7625bbca579e0d59c0f7bdf8631d39b6930828c5b8eb1cbdb48246852 | MATLAB | 867 | 25 | function [surface_triangles] = zef_get_surface_triangles(tetra,labels,compartment_ind)
I = find(labels==compartment_ind);
tetra = tetra(I,:);
ind_m = [ 2 4 3 ;
1 3 4 ;
1 4 2 ;
1 2 3 ];
tetra_sort = [tetra(:,[2 4 3]) ones(size(tetra,1),1) [1:size(tetra,1)]';
tetra(:,[1 3 4]) 2*ones(size(tetra,1),1) [1... |
f9607462e72d665e42fc51a3abf7080f4d96575108287a37e7f821864dce0230 | MATLAB | 869 | 32 | full_address = 'exportImage';
file_name = 'butterfly_plot_auditory';
f1 = gcf;
f2 = figure();
copyobj(findobj(f1.Children, 'tag','axes1'), f2);
f2.Children.Position(2) = 40;
f2.Children.Box = 0;
% f2.Children.XTick = [0.1210 0.1220 0.1230 0.1240 0.1250 0.1260 0.1270 0.1280 0.1290 0.1300];
... |
5ef4df5b3b9768f56540dab370530e47d8cd9a8803d0c66be9138d34c848b69f | MATLAB | 870 | 23 | function zef_plot_SESAME_dipoles
%A dynamic plot of dipoles reconstructed by SESAME
zef = evalin('base','zef');
h_axes_image = evalin('caller','h_axes_image');
f_ind = evalin('caller','f_ind');
rec_vec_init = [0 0 0 0 0 0 0 str2num(zef.SESAME_App.h_inv_rec_source_8.Value) str2num(zef.SESAME_App.h_inv_rec_source_9.V... |
62f142a2e80c125c1032f014365af981b7f78ef284716c024b190071795608e3 | MATLAB | 875 | 30 | function [tabPoints tabSegments tabRidgenessSphericalnessCyclideness] = ridgesravines2(filein)
% Copyright Jean Dumoncel
fid = fopen(filein,'r');
NombreDePoints = sscanf(fgetl(fid),'%d');
NombreDeSegments = sscanf(fgetl(fid),'%d');
NombreDeLignes = sscanf(fgetl(fid),'%d');
tabPoints = fscanf(fid,'%f %f %f %d\n',[4,N... |
0d75037cff7e46d76175fee050afb504d52021c6f436a88bbb2af3abc05745bf | MATLAB | 876 | 29 | function data = data2struct(data,T,options)
if length(options.embeddedlags)>1
L = -min(options.embeddedlags) + max(options.embeddedlags);
else
L = options.maxorder;
end
if ~isstruct(data), data = struct('X',data); end
if ~isfield(data,'C')
if options.K>1, data.C = NaN(size(data.X,1)-L*length(T),options.K)... |
2349292a39caaa1a0377b0ff8645850e77d4187807e702b498940a161870b1ca | MATLAB | 876 | 26 | function data = estimate_hyperacuity_spike_time(data, model, parm)
% acquiring data
class_label = data.class_label; % classified label by SVM
% select spikes detected by SVM
str_index = data.index(class_label==1);
t = data.t;
y = data.y;
if strcmp(parm.sort_dir, 'ascend') || strcmp(parm.sort_dir, 'descend')... |
73a68b9efa8771aa3eb83c877d146ea7cbcaee340284f95d3be290c89fd76a4b | MATLAB | 878 | 22 | % OV_MATLAB toolkit
% OV_setSpectrumHeader.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
% Set the header information on a Spectrum input.
function box_out = OV_setSpectrumInputHeader(box_in, input_index, nb_channels, channel_names, nb_abscissas, abscissas_names, abscissa... |
d6ed3e17a17be2cdbc7068232c6eab17dede5aa3c62face2e39d31d2627a0684 | MATLAB | 878 | 43 | function distance_vec = zef_distance_to_mesh(p,nodes,triangles)
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,size(p,2));
f... |
14d4b85c5c2a8a7f0334e9c5c39c1d33310b090bc0ea4d5c43b28faac26ec1ae | MATLAB | 880 | 31 | function opts = generate_default_opts()
opts.expDir = '';
opts.continue = true ;
opts.batchSize = 256 ;
opts.numSubBatches = 1 ;
opts.train = [] ;
opts.val = [] ;
opts.gpus = [2] ;
opts.prefetch = false ;
opts.numEpochs = 300 ;
opts.learningRate = 0.001 ;
opts.weightDecay = 0.0005 ;
opts.momentum = 0.9 ;
o... |
e10a96a6f0eb21ba40ab73eb38db7d0a5081312758f8285f42118a07367c44d7 | MATLAB | 881 | 27 | function [f, df] = zef_nse_mollifier(r,t,t_min,t_max)
if nargin < 3
t_min = t(1);
t_max = t(end);
end
I1 = find(t < t_min + 0.5*r*(t_max - t_min));
I2 = find(t < t_max - 0.5*r*(t_max - t_min));
I3 = find(t >= t_max - 0.5*r*(t_max - t_min));
I3 = setdiff(I3,I2);
I2 = setdiff(I2,I1);
f = zeros(size(t));
f(I1) = exp(1... |
418165974be5700d8e0c392022bbfb2cebf00284746bcfd606e94eeb95664524 | MATLAB | 882 | 57 | function intDay = date2day(varargin)
%UNTITLED Summary of this function goes here
% Supported formats:
% 'YYYMMDD' (str)
% YYYYMMDD (dbl)
% 'MMDD'
% MMDD
% 'Y', 'M', 'D'
% Y, M, D
% 'M', 'D'
% M, D
%assign vals to year, month, day
if nargin == 1
date=varargin{1};
if ~ischar(date)
date = num2str(d... |
d5a2f18944c22f9d3b67f76f58be22ae600332df2adc1490701359a30fff7815 | MATLAB | 882 | 48 | function zef_plot_strip(strip_struct)
hold on
if nargin == 0;
strip_struct = evalin('caller','zef.strip_struct');
end
for i = 1:size(strip_struct.electrode,1)
if i == 1 || i == 8
r = 0.75;
else
r = 0.35;
end
[x y z] = sphere(20);
x = r*x;
y = r*y;
z = r*z;
h_s = surf(strip_... |
f90992cc7263495362917e12461513035f9cbbe2b885f6427d44493b1697ff3a | MATLAB | 882 | 22 | function [coefficients] = learn_structures(params,s_lambda)
node_count = params.num_udf + params.num_neurons;
coefficients = zeros(node_count);
for label_node = 1:node_count
feature_nodes = params.neighborhoods{label_node};
Coef = glmnetCoef(params.glm_array{label_node},s_l... |
cfd5dd82b21f3cbfe868e26260754066cd0314c0844df9bd34e5225ad0ae8ba5 | MATLAB | 885 | 20 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [meas_data] = find_source(zef)
source_positions = eval('zef.source_positions');
noise_level = eval('zef.inv_synth_source(1,8)');
s_p = eval('zef.inv_synth_source(:,1:3)');
s_o = eval('zef.inv_... |
7b609f25c7fa4bdf04ba607ad8fd04ed9e245f54006e591338dbedd92bcafc57 | MATLAB | 886 | 34 | function [P_s_store, m_s_store, G_store] = RTS_smoother(P_store, z_inverse, A, Q, number_of_frames)
P_s_store = cell(0);
m_s_store = cell(0);
G_store = cell(0);
h = zef_waitbar(0,'Smoothing');
for f_ind = number_of_frames:-1:1
zef_waitbar(1 - f_ind/number_of_frames,h, ['Smoothing ' int2str(number_of_frames -f_ind) ... |
79d18cd819759edddab1c68da9467c3eb3455c96f84a7ee7d29afc82b8374b6b | MATLAB | 887 | 41 | function s = structinit(varargin)
%STRUCTINIT Initialize a structure with no field, or with same fields as a model
%---
% function s = structinit([model,][siz])
% function s = structinit([model,][s1,s2,...])
%---
% Initializes a structure with no fields (or with same fields as a model)
% and of size siz.
% If size is a... |
937a20e733762fd2bc6ad810fbef779badaf2434781b65df4ac47167ef8fdb54 | MATLAB | 887 | 38 | function slider_value_new = zef_update_transparency_reconstruction(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(... |
881ac85fc1a3dcf8ffcea26e8a290377e041e6638375de2a62723d9975f933d8 | MATLAB | 889 | 21 | %Copyright © 2018- Joonas Lahtinen, Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
%This script checks if the core script of SESAME, 'inverse_SESAME.m', is
%already downloaded. If not, it write a .m script based on the raw form
%from the FGitHub link:
%https://raw.g... |
80401a2671105b2f5c0925896b501ef7b26d76c6bd09bf35cb716aa4a02d23ac | MATLAB | 890 | 34 | function [hit, miss, false_alarm, spike_time_err, spike_time, est_spike_time] = measure_perf(spike_time, est_spike_time, constraint_interval)
%% MAIN
hit = 0;
Nspike = length(spike_time);
Nest_spike = length(est_spike_time);
if Nest_spike>0
[ste1] = findClosest(est_spike_time', spike_time');
[ste2] = findClos... |
0994089f58f5684c9323ad9df1a551ab5c4dcd54ad709055e29ebe18669411f1 | MATLAB | 892 | 29 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [s_field_vec] = zef_smooth_field(triangulation, field_vec, n_nodes, n_iter)
if or(isempty(n_nodes),isequal(n_nodes,0))
n_nodes = max(triangulation,[],'all');
end
for i = 1 : n_iter
c... |
67842db2e57e625b20ea9fc6dcc390da721f9ef84fe732a13bb0d62c89f2ffb1 | MATLAB | 893 | 30 | function d=spkd(tli,tlj,cost)
% % d=spkd(tli,tlj,cost) calculates the "spike time" distance % (Victor & Purpura 1996) for a single cost %
% tli: vector of spike times for first spike train
% tlj: vector of spike times for second spike train
% cost: cost per unit time to move a spike %
% Copyright (c) 1999 by Danie... |
0a6d33a99f362edbc32ad9f77800ccdaccbffacc83fa317232606b6899627655 | MATLAB | 895 | 17 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if ismac
zef.h_find_synthetic_source = open('zef_find_synthetic_eit_data.fig');
elseif ispc
zef.h_find_synthetic_source = open('zef_find_synthetic_eit_data.fig');
else
zef.h_find_synthetic_... |
1eac6a5cc55220e7116e10522500ce6e4b12302c7e89221f3a18240428f4c4b3 | MATLAB | 895 | 29 | % OV_MATLAB toolkit
% OV_popInputBuffer.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 13 Jan. 2012
% Pops the first signal chunk on an input
% -------------------------------
% output = matrix data (matlab format)
% -------------------------------
% MEANT TO BE USED IN USER SCRIPT
... |
a123eede88b03e363d10b8aea558e15e7bd2aece4f2b3c63707f22158076bd55 | MATLAB | 895 | 34 | function [orders,order] = formorders(order,orderoffset,timelag,exptimelag)
%
% get vector of lags to look for the MAR
%
% Author: Diego Vidaurre, OHBA, University of Oxford
if nargin<2, orderoffset = 0; end
if nargin<3, timelag = 1; end
if nargin<4, exptimelag = 1; end
if order > 0
if exptimelag>1
orders... |
e1e197e1e72203a58814cd28ffb6156f7d8c2e9a67abb33d0a86416974a5c085 | MATLAB | 897 | 38 | function ET_setGamma(dblGamma,boolRetry)
%ET_setGamma Set camera Gamma
%get globals
global sET;
global sEyeFig;
%get input
if ~exist('dblGamma','var') || isempty(dblGamma)
dblGamma = sET.dblGamma;
end
if ~exist('boolRetry','var') || isempty(boolRetry)
boolRetry = true;
end
%set properties & suppress... |
41c624358322397798b857b117d5e2f0ecd48838cc552d96a8892c9ba3456518 | MATLAB | 898 | 16 | function srsc = zef_ES_centralize_recursive_search_window(adapt_window, original_window, param_aux, s_opt)
if adapt_window < length(param_aux)
if any(s_opt + (-floor(adapt_window/2):floor(adapt_window/2)) >= length(param_aux)) %&& ~any(s_opt + (-floor(adapt_window/2):floor(adapt_window/2)) >= original_window)
... |
7048b5f60803560d732d12a87fe4daf8ad4043a8798477f375403734f1b69c7f | MATLAB | 898 | 27 | function [params] = convert_paths_to_absolute(params)
root_dir = pwd;
params.experiment_directory = strcat(root_dir, filesep, params.experiment_directory);
if isfolder(strcat(root_dir, filesep, params.data_directory))
params.data_directory = strcat(root_dir, filesep, params.data_directory);
filename ... |
ee4a0268740f70f7e0a1c281ecc98f11df03ac161cbe183d839ef3b5ce1380de | MATLAB | 898 | 24 | function ell_idx = zef_ES_4x1_fun
separation_angle = evalin('base','zef.ES_separation_angle');
sensors = evalin('base','zef.sensors(:,1:3)');
source_pos = evalin('base','zef.inv_synth_source(1,1:3)'); % Position
source_ori = evalin('base','zef.inv_synth_source(1,4:6)'); % Orientation
'moi'
ell_idx = zef_ES_4x1_sens... |
72267a73619bf520dc6b98ece6dc6501ab713a5c3f8d91408cd4cf0a337d127a | MATLAB | 901 | 32 | function [data,T] = embeddata(data,T,embeddedlags)
tp_less = max(embeddedlags) + max(-embeddedlags);
if isstruct(data)
ndim = size(data.X,2);
shrinkC = ~(size(data.C,1)==sum(T-tp_less));
if shrinkC, C = zeros(sum(T-tp_less),size(data.C,2)); end
else % just a matrix
ndim = size(data,2);
end
X = zeros(sum... |
7ec03a2dba8519e31c83dcb594660e5cf983586616d35758e0b2397a2be86d5f | MATLAB | 901 | 35 | % calculate dF over F0
function [dFoverF0,minBF] = deltaFoverFzero( stack, t1, t2, t4 ) %, minBarF )
% bar F "smoothing"
disp('starting BarFofT');
BarF = BarFofTs2( stack, t1 ); % s version uses single precision
disp('starting minBarF. Prepare to wait a long while...');
minBF = minBarF2( BarF, t2, t4 );
% F0 is minB... |
ebb207395fe2666398ddec5678ac5a91cffd894785ddef48f0bd3ff55efb3244 | MATLAB | 901 | 25 | function [ind]=find_intervals(intervals, events)
% [ind]=find_intervals(intervals, process)
% function to find intervals (eg sleep epochs)
% that contain events (eg event timestamps)
%
% inputs :
% intervals - matrix of pairs defining edges (start/stop) of intervals
% eg: intervals = [ 1... |
0873478a5262803b08944edb98fdfd03f94869d3f2cc16bc845ec27553ed4a17 | MATLAB | 902 | 12 | zef.create_dipolar_pair_x = zef.h_create_dipolar_pair_table.Data{1,2};
zef.create_dipolar_pair_y = zef.h_create_dipolar_pair_table.Data{2,2};
zef.create_dipolar_pair_z = zef.h_create_dipolar_pair_table.Data{3,2};
zef.create_dipolar_pair_ori_x = zef.h_create_dipolar_pair_table.Data{4,2};
zef.create_dipolar_pair_ori_y = ... |
44c592d49d2922d9f9adf43925cc0b24773ec670bbf88ad5bfe7c600985f526b | MATLAB | 902 | 41 | function [app] = test_panel_1(dataset_id)
app = pat_map();
default_path = pwd;
aa_path = strcat(default_path, strcat('\example_datasets\', dataset_id));
% set files
app.file_data = strcat(aa_path, '\data.mat');
app.file_udf = strcat(aa_path, '\udf.mat');
app.file_rois = strcat(aa_path, '\rois.mat');
app.file_params ... |
1a9459cb9a3fc320eeea30bf5697c3d1b628a902272fc3139a83bba31e6df133 | MATLAB | 903 | 56 | function v = zef_surface_scalar_vector_F(nodes, tetra, scalar_field)
%
% zef_surface_scalar_vector_F
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanation.
%
% Outputs:
%
% - v
%
% TODO: explanation.
%
i... |
6f8a18f3edb73438c39ce7a33e20408e9f39626878a13e73ee41eff054eedac7 | MATLAB | 904 | 23 | % OV_MATLAB toolkit
% OV_setSpectrumOutputHeader.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
% Set the header information on a Spectrum input.
function box_out = OV_setSpectrumOutputHeader(box_in, output_index, nb_channels, channel_names, nb_abscissas, abscissas_names, ... |
abdfdf80cc292cd0680ab7609ef3587d3bd9aa8002a2f2bf348a66f80d83648d | MATLAB | 906 | 33 | % scatter 3D of the manifold for a 2x2 covariance matrices set
%
function manifold_plot(COV,label,boundary)
Nt = size(COV,3);
if nargin<2, label = ones(Nt,1); end
if nargin<3, boundary = 0; end
class_label = unique(label);
N_label = length(class_label);
clrs = hsv(N_label);
color ... |
ff6b057d1cfebd90b4c5b48767f164cee886f715add693d7bc804e0130800e3f | MATLAB | 908 | 68 | function M = zef_volume_scalar_matrix_D(nodes, tetra, g_i_ind, scalar_field, weighting)
%
% zef_volume_scalar_matrix_D
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - g_i_ind
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explan... |
ea7af550f9279c4c33d6efc59c8f5f6209c7782cc4a955ac592b24777d4131cc | MATLAB | 909 | 30 | function [tree] = zef_dataBank_importNode(tree, savePath, saveFile, parentHash, dataBank)
if ~iscell(saveFile)
node=load(strcat(savePath, saveFile));
[tree, hash]=zef_dataBank_add(tree, parentHash, node.data);
tree.(hash).name=node.name;
if strcmp(dataBank.save2disk, 'On')
folderName=strcat(da... |
0e5ea9650c16c51b2879c2b15075c870f4415ef812b801978732d87ac5b2c764 | MATLAB | 910 | 36 |
%--------------------------------------------------------------------------------
% param_norm.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 (... |
8356fc05d58483f14904a01ed4fe730cfb4409aba0b40677244463b183a5a0e1 | MATLAB | 910 | 32 | function hmm = obsinference(data,T,Gamma,hmm,residuals,XX)
N = length(T);
K = length(hmm.state);
order = hmm.train.maxorder;
if ~isstruct(data)
data = struct('X',data);
data.C = NaN(size(data.X,1)-order*length(T),K);
end
% Compute residuals
if nargin < 5 || isempty(residuals)
ndim = size(data.X,2);
i... |
790199e7d73bcb73ff98f0764cf4f75e5e360191e409a1618ae084612ce51517 | MATLAB | 911 | 37 | function zef = zef_merge_surface_mesh(zef,compartment_tag,triangles,points,varargin)
if isempty(zef)
zef = evalin('base','zef',zef);
end
if not(isempty(varargin))
merge = varargin{1};
else
merge = eval(['zef.' compartment_tag '_merge;']);
end
triangles_0 = eval(['zef.' compartment_tag '_triangles;']);
po... |
a704548f1ceadff093e07c2faecc1cb95c942c3efabb035ba456854182b98596 | MATLAB | 911 | 33 | function preview_passed_structures_button_pushed(app)
%needs
models = app.models;
numModels = length(models);
%collect stats on passed structures
% find the unique structures
sLambdas = nan(1,numModels);
for i = 1:length(models)
sLambdas(i) = models{i}.s_lambda;
end
%[uval,uidx] = sort(unique(sLambdas), 'ascend');... |
6d8b3b06214928caf4a992354624144f5c1a587faf3ab75e35081cd7d6640ffb | MATLAB | 912 | 35 | function [lead_field_id,lead_field_id_max] = zef_update_lead_field_id(lead_field_id,lead_field_id_max,varargin)
lead_field_event = 'create'; %'' would be better, or lead_field_event instead of varargin
if not(isempty(varargin))
lead_field_event = varargin{1};
end
switch lead_field_event
case 'bank_replace'
... |
a036275e9c0059426802cd60d88ead20a87b25335d8bccf1e1f537e9842bb874 | MATLAB | 912 | 20 | function y = zef_nse_signal_pulse(t,nse_field)
hgmm_conversion = 101325/760;
function bh_val = bh_fun(t, cycle_length)
bh_val = 0.35875 - 0.48829*cos(2*pi*t/cycle_length) + 0.14128*cos(4*pi*t/cycle_length) - 0.01168*cos(6*pi*t/cycle_length);
bh_val(t <= 0) = 0;
bh_val(t > cycle_length) = 0... |
b1c94f99cdc9e1d1303ee4b04480526768a5c08dbd12a3be578402285b99afbf | MATLAB | 913 | 28 | function zef_set_menu_size(zef,status)
if isequal(status,'expanded')
if isequal(zef.h_zeffiro_menu.Position(4),0)
zef.h_menu_logo.ImageClickedFcn = 'zef_set_menu_size(zef,''minimized'');';
zef.h_zeffiro_menu.Position(4) = zef.menu_expanded_size;
zef.h_zeffiro_menu.Position(2) = zef.h_zeff... |
84dcb25fa83ef851c7baab907b13ac805eeb9423e374c1bef2427647c6efdc1f | MATLAB | 915 | 42 | function ET_setGain(dblGain,boolRetry)
%ET_setGain Set camera gain
%get globals
global sET;
global sEyeFig;
%get input
if ~exist('dblGain','var') || isempty(dblGain)
dblGain = sET.dblGain;
end
if ~exist('boolRetry','var') || isempty(boolRetry)
boolRetry = true;
end
%set properties & suppress warning... |
896ad0438ece6d029696e68301e147973818c7592e0e309c1f1b874ce52e5ea7 | MATLAB | 916 | 26 | % openvibe toolbox for Matlab
% OV_getSignalOutputHeader.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
% Set the header information on a signal output.
% MEANT TO BE USED IN USER SCRIPT
function [errno, nb_channels, nb_samples_per_buffer, channel_names, sampling_rate] = O... |
6f8c6151b0c351642a7e1fb4ee46e638c8e34a14623d7f752c5660f07204c544 | MATLAB | 920 | 34 | function [P_s_store, m_s_store, G_store] = RTS_smoother_nonstandardized(P_store, z_inverse, A, Q, number_of_frames)
P_s_store = cell(0);
m_s_store = cell(0);
G_store = cell(0);
h = zef_waitbar(0,'Smoothing');
for f_ind = number_of_frames:-1:1
zef_waitbar(1 - f_ind/number_of_frames,h, ['Smoothing (non-standardized)'... |
746ce92badf882a6da555c1bbadd8b692bc9d102d1ad59fd5939ebf8d392e6ff | MATLAB | 920 | 36 | function zef_source_tree_add_child(treeObj, childText)
if nargin ~= 2
error('zef_cbtreenode_add_child:InvalidInput', ...
'Provide (CheckBoxTree, childText).');
end
if ~(ischar(childText) || (isstring(childText) && isscalar(childText)))
error('zef_cbtreenode_add_child:InvalidIn... |
ea47d9a26e9e8002a130f6b10967720c4841d72f18096b73e70a70b14cd545ec | MATLAB | 922 | 23 | function [spk_cond] = ExtractConditions(datai)
%This function will extract conditions based on the length of attens so #of
%conditions should be = to length(attens). Data assumed to be in NEL format
%and all conditions are run before they are repeated
%datai = structrue in NEL format
%spk_cond = cell array with each ce... |
f0b43db5b5b5bea3a104c7becd7c50954193edec57ee4615c423d45bdde411c3 | MATLAB | 925 | 22 | function OPTIONS = set_up_general(OPTIONS)
% set-up of the detectors
% SSW %%%%% Parameters (a priori, not to be changed) %%%%%%%%%%%%%%
OPTIONS.Sleep.SSW.method = 'Carrier016_4'; % can be Molle
OPTIONS.Sleep.SSW.Carrier.fmin_max = [0.16 4]; % Hz
OPTIONS.Sleep.SSW.Carrier.duree_min_max_Neg = [125 1500]; % m... |
25dc6d790e5571fa0f4c7f9cf5dff514bd5c7ce4c061af59cf3718cea080d3f5 | MATLAB | 926 | 30 | function J = nanjet(m)
%JET Variant of HSV
% JET(M), a variant of HSV(M), is an M-by-3 matrix containing
% the default colormap used by CONTOUR, SURF and PCOLOR.
% The colors begin with dark blue, range through shades of
% blue, cyan, green, yellow and red, and end with dark red.
% JET, by itself, is the s... |
d0a555a8226ae60ed5012d8f4fce59ea287413557bcb5e472473805212957ba2 | MATLAB | 926 | 26 | function zef_plot_outPub(outPub, pass, nodeFilter)
if nargin < 2, pass = 1; end
if nargin < 3, nodeFilter = ""; end
zef = evalin('base','zef');
axes(zef.h_axes1); cla;
hold on; grid on;
labels = {};
y_aux = [];
for k = 1:numel(outPub.nodes)
path = string(outPub.nodes(k).path);
if... |
0d0aef0fd5f16ec9f9d54cd15b30f8bac13f3f45bc7896fb76dd337c930ce949 | MATLAB | 932 | 32 | function obj = preprocess_resample(obj,fsample_new)
% Resample data
% get size of data
[m,n] = size(obj.data) ;
% get sampling frequency
fsample_old = 1/mean(diff(obj.time)) ;
if fsample_old == fsample_new
return
end
% remove mean
mx = mean(obj.data) ;
... |
716bde4b6eb51d3e729f809a80372c448ee0242399823c0df2a0639b17f9d0a2 | MATLAB | 932 | 66 | function M = zef_volume_scalar_matrix_GCC(nodes, tetra, g_i_ind, scalar_field, weighting)
%
% zef_volume_scalar_GCC
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - g_i_ind
%
% TODO: explanation.
%
% - scalar_field
%
% TODO: explanati... |
f8712cdfb8c2df0851dd98b28bf884b52f07111883d8aae17ed942c818ec44bb | MATLAB | 934 | 21 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_butterfly_plot_start(zef)
zef_butterfly_plot_app;
set(zef.h_butterfly_plot,'Name','ZEFFIRO Interface: Butterfly plot');
set(findobj(zef.h_butterfly_plot.Children,'-property','FontU... |
ae1ce99c0c98f83286bb1661a92d0edaeb6897886d2884c329fc36e4b9139603 | MATLAB | 935 | 11 | for zef_j = 1 : size(zef.parameter_profile,1)
if isequal(zef.parameter_profile{zef_j,8},'Sensors') && isequal(zef.parameter_profile{zef_j,6},'On') && isequal(zef.parameter_profile{zef_j,7},'On')
if not(isequal(evalin('base', ['size(zef.' zef.current_sensors '_points,1)']),evalin('base', ['size(zef.' zef.cur... |
28144edc6c0fad3d4c171295f5ac883e18424b4b64f141240005f73f2a1c4930 | MATLAB | 940 | 22 | number_of_points = 10000;
grey_matter_ind = 15;
surface_triangles = zef_get_surface_triangles(zef.tetra,zef.sigma(:,2),grey_matter_ind);
nodes_ind_aux = unique(surface_triangles);
nodes_ind_aux = nodes_ind_aux([1:floor(length(nodes_ind_aux)/(number_of_points-1)):length(nodes_ind_aux)],:);
distance_vec = zeros(length(... |
6942124d13cae4eda7e5adf7f207edf2b2a3bf0ea60fa2de5a093685bb4defde | MATLAB | 940 | 55 | function lf_tag = lf_tag_from_lf_type( lf_type )
%
% lf_tag_from_lf_type
%
% Converts a given lead field type integer into a human-readable lead field
% tag. This is used by the plugins in the plugins/ folder, which is why this is
% located here.
%
% Inputs:
%
% - lf_type (1,1) double { mustBemember ( [1,2,3,4,5] ) }
%... |
c53b7186ed56f044d2c497fb8eb13434b0e2704485f74af820a8faae8c9b99c7 | MATLAB | 941 | 27 | function export2igorAPP( S, fname )
% fname is a full path name, or saves to current folder
% custom function to store processed ROIs
% to be read by Igor (or MATLAB)
% S is the structure returned by roi2stats3D and processROIs
% sometimes called "baseStats"
ncells = size(S.baseStats.ROI,2);
npoints = size( S.baseSt... |
978cd52f6ed25161710b660f36f23b2c724352833d9dbb2b3e59f3c8f2345671 | MATLAB | 942 | 36 | classdef CmdLineProgressBar < handle
% class for command-line progress-bar notification.
% Use example:
% pb = CmdLineProgressBar('Doing stuff...');
% for k = 1 : 10
% pb.print(k,10)
% % do stuff
% end
%
% Author: Itamar Katz, itakatz@gmail.com
properties
last_msg_len = 0;
end
met... |
d6e9f12c6514fa714937446d452fb6ef6983a8bbb51ce1e2791773da44fa28af | MATLAB | 942 | 31 | function vecValues = getCircFitPenalty(vecOptimParams,matXY)
%getCircFit Returns values in the range 0-1 depending on x-y location
% within (1) or outside (0) circle defined by vecParams (x, y, r)
%Syntax: vecValues = getCircFit(vecParams,matXY)
%get penalty matrix
global vecP;
%get distance
vecValues = get... |
54c940d9c4b645a58eb87d773a63cc3876b631859116076808514efa6d842f0b | MATLAB | 943 | 40 | function self = initialize(self,L,f_data)
%
% initialization function
%
% Initialize recursively updated variables before the computation of
% the first time step.
%
% Inputs:
%
% - self
%
% An instance of BeamformerInverter with the method-specific parameters.
%
% ... |
84e6008335b08276e1990ae97d68ccdcf9f3abc2679b1ef1669360faf45eaa20 | MATLAB | 943 | 32 | function bsliang_processrawsham(in_mat)
%% preprocess
in_mat(in_mat==bsliang_numNAN)=nan;
%% get data
S_CT=in_mat(:,10);
S_CP=in_mat(:,11);
S_NT=in_mat(:,20);
S_NP=in_mat(:,21);
%% remove outliers
[S_CT_rm]=bsliang_rmoutlier3sd_rawsham(S_CT);
[S_CP_rm]=bsliang_rmoutlier3sd_rawsham(S_CP);
[S_NT_rm]=bslian... |
2154ac4beb0ad3d664cbf1ebe964461a5568cb03b7e83af6afa09f820d3a17ae | MATLAB | 947 | 22 | function [electrode_struct] = zef_electrode_struct(sensors_attached_volume)
electrode_struct = [];
if size(sensors_attached_volume,2) == 4
for i = 1 : max(sensors_attached_volume(:,1))
sensor_triangles = sensors_attached_volume(find(sensors_attached_volume(:,1)==i),2:4);
sensor_edges_aux = [sens... |
16313f8ee6711dda21799542cdd911616e87aab995525e00fd01482b852dc048 | MATLAB | 948 | 40 | function [X, I, L] = do_sampling(data, score, index, Npre, Npoint)
Npost = Npoint-Npre-1;
N = length(data.y);
spike_time = data.spike_time;
Nspike = numel(spike_time);
t = data.t;
dt = data.dt;
spk_flg = zeros(Nspike,1);
index( (index>=N-Npoint) | (index<=Npre) ) = [];
Nsegment = length(index);
X = zeros(Nsegme... |
82da2bf288a674eb12ae2b2bafc707edc42a907ecf957c604c63ffb3789828f5 | MATLAB | 950 | 38 | function [data_new,T_new] = downsampledata(data,T,fs_new,fs_data)
if fs_new == fs_data
data_new = data; T_new = T; return
end
T_new = ceil((fs_new/fs_data) * T);
if isstruct(data)
ndim = size(data.X,2);
data_new = struct();
data_new.X = zeros(sum(T_new),ndim);
if isfield(data,'C')
K = si... |
79d54771ca7297d669e83fd9d34b8b912329c420fad740683bfd05a4610497a5 | MATLAB | 952 | 32 | function [m, P, K, D] = kf_sL_update(m,P,y,H,R,standardization_exponent)
% Resolution matrix
method = '1';
if(method == '1')
P_sqrtm = sqrtm(P);
B = H * P_sqrtm;
G = B' / (B * B' + R);
w_t = 1 ./ ((sum(G.' .* B, 1))').^standardization_exponent;
%w_t = 1 ./ ((sum(G.' .* B, 1))');
D = w_... |
aa06a0d51590db7b8dd299e8620ca830a0913cff86f05f57eb4a1164151198ae | MATLAB | 953 | 14 | %Copyright © 2018- Joonas Lahtinen, Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef.SESAME_snr=str2double(zef.SESAME_App.h_SESAME_snr.Value);
zef.SESAME_n_sampler = str2double(zef.SESAME_App.h_SESAME_n_sampler.Value);
zef.inv_sampling_frequency = str2double(zef.S... |
9ae23139402378971a3fb4afadfe098412ebace51a1f8e90b0a4b8492cea1451 | MATLAB | 955 | 46 | if not(isfield(zef,'streamline_draw'))
zef.streamline_draw = 0;
end
if not(isfield(zef,'streamline_linestyle'));
zef.streamline_linestyle = '-';
end
if not(isfield(zef,'cone_alpha'));
zef.cone_alpha = 1;
end;
if not(isfield(zef,'contour_n_smoothing'));
zef.contour_n_smoothing = 2;
end;
if not(isfiel... |
fd5cb46663df412eaac2320ef8154976811768273b4380b14bb4263793c40a27 | MATLAB | 955 | 31 | % Installer for the Covariance toolbox
HOME = pwd;
if isunix
path([HOME,'/lib'],path);
path([HOME,'/lib/distance'],path);
path([HOME,'/lib/geodesic'],path);
path([HOME,'/lib/riemann'],path);
path([HOME,'/lib/visu'],path);
path([HOME,'/lib/estimation'],path);
path([HOME,'/lib/mean'],path);... |
a37cab60fec18d2fed71839121ad206b999495ec7791d8355270cdb18ef0cfaa | MATLAB | 958 | 25 | function ETO_redraw(sFigETOM,sIms,sPupil,matVid)
%% redraw image, boxes & detection
%redraw image
if nargin > 3
cla(sFigETOM.ptrAxesMainVid);
sFigETOM.ptrCurFrame=imshow(matVid,'Parent', sFigETOM.ptrAxesMainVid);
hold(sFigETOM.ptrAxesMainVid,'on');
end
%closed
cla(sFigETOM.ptrAxesSubVid1);
imshow(sIms.... |
f8bf13446f629981f6133eabbc82ab3aaacf78a492bbc2d7e96b70b072886df3 | MATLAB | 959 | 30 | function A = multiscale(scale, A)
% Multiplies the 2D slices in a 3D matrix by individual scalars.
%
% function A = multiscale(scale, A)
%
% Given a vector scale of length N and a 3-dimensional matrix A of size
% n-by-m-by-N, returns a matrix A of same size such that
% A(:, :, k) := scale(k) * A(:, :, k);
%
% See also:... |
232d3e3b800960313c3ad20a9cb3b98d580f784611e1432f20c098ad92969f95 | MATLAB | 960 | 41 | function bFofT = BarFofTs2( stack, t1 )
%t1 = 100;
%bFofT = zeros( height, width, frames, 'double' );
bFofT = single(stack); % double( stack );
frames = size(stack, 3);
%barFofT = smooth( cropstack(:,:,p), t1 );
%nframes = zeros( size(frames) - [0,0,1] );
ts = t1 / 2;
te = frames - ts;
tic
%temp = ones( height, width,... |
7064d2cfa14beaa1a11e4cf5c561359896c200277b6d7326c2033c8198ea2917 | MATLAB | 961 | 33 | function complex_stiefel_test()
% Minimize the complex Brockett function
% Generate the problem data.
n = 100;
p = 10;
A = randn(n)+1i*randn(n);
A = .5*(A+A');
N = diag(p:-1:1);
% Create the problem structure.
manifold = stiefelcomplexfactory(n, p);
problem.... |
2af2e3165d66e446c7812590d4eba452d865137bc679d9b085513c2a862f7593 | MATLAB | 962 | 39 | function [z_inverse] = ext_sL(timeSteps,P_store,L,R, number_of_frames, smoothing, sL,standardization_exponent)
h = zef_waitbar(0,1, 'Filtering');
z_inverse = cell(0);
L_zero=zeros(size(L,1),size(L,2));
L2=cell2mat({L,L_zero});
L3=cell2mat({L,L_zero,L_zero});
I1=eye(size(L,2),size(L,2)*sL);
for f_ind = 1: number_of... |
8da4273bf2f62a275e79721924833cf75de9f21bd552c6f4ebd6d581b5fdac63 | MATLAB | 962 | 37 | function matError = gnmnonlinfunc(vecLinCoeffs)
%gnmnonlinfunc Wrapper for lsqnonlin()
% matError = gnmnonlinfunc(vecLinCoeffs);
%
%matError is the individual error per observation n and predictor p as
%an [n x p] error matrix between Y and Y_hat(p)
%% get globals
global gMatX;
global gVecY;
matX = gMatX;
... |
041c23820e8d12ccf817aee20b822a2b2cd76f868376ed8dcb126af51a8f948d | MATLAB | 963 | 40 | function data = filterdata(data,T,Fs,freqbands)
% Filters the data using a Butterworth filter
% Author: Diego Vidaurre (2017)
Fn = Fs/2; % Nyquist frequency
filterorder = 6;
[B, A] = buttfilter(filterorder,freqbands,Fn);
for n = 1:length(T)
fo = filterorder; Bn = B; An = A;
ind = sum(T(1:n-1))+ (1:T(n));
... |
f5b34756c770071f21bac2bf4e5147483b8957dbd20ed6ddb042c2af9bab67c0 | MATLAB | 963 | 28 | function [matX,matY,matV] = idx2mat(vecX,vecY,vecV)
%idx2mat Transforms a vector 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) and
%... |
0d495c36e1a5df2d7a8447ac63b073597498aa11737d1203a0c12c3c8ebc0cd3 | MATLAB | 964 | 28 | %Copyright © 2021- Sampsa Pursiainen & GPU-ToRRe-3D Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre-3D
function [boundary_triangles, boundary_tetra_ind] = free_boundary(tetra)
ind_m = [ 2 4 3 ;
1 3 4 ;
1 4 2 ;
1 2 3 ];
tetra_sort = [tetra(:,[2 4 3]) ones(size(tetra,1),1) [1:size(tet... |
c1d97ddfc0dd156936076980fe4626a57bff5526b267c44068f65e9b3da8902a | MATLAB | 964 | 27 | function bsliang_processrawsham(in_mat,AMB)
%% preprocess
in_mat(in_mat==bsliang_numNAN)=nan;
%% get data
S_CT=in_mat(:,6);
S_CP=in_mat(:,7);
S_NT=in_mat(:,12);
S_NP=in_mat(:,13);
%% remove outliers
[S_CT_rm]=bsliang_rmoutlier3sd_rawsham(S_CT);
[S_CP_rm]=bsliang_rmoutlier3sd_rawsham(S_CP);
[S_NT_rm]=bsli... |
d44bb8890ffb946b526e1adb25c27aedd8ca50a14413618cd25ce26d796936be | MATLAB | 967 | 29 | function D = gamma_kl (shape_q,shape_p,rate_q,rate_p)
% Computes D(q||p) = | q(x)*log(q(x)/p(x)) dx
% between two Gamma probability densities
%
% Author: Diego Vidaurre, OHBA, University of Oxford (2016)
if nargin<4
error('Incorrect number of input arguments');
end
% scale_p = 1 / rate_p;
% scale_q = 1 / rate_q;% D... |
c7e999265645f2f58be2aaf77a1477ee2d615858e3fec0bdc39c174ce81bdb80 | MATLAB | 968 | 43 |
function zef_nse_plot_full(zef, nse_field, plot_vec, y_label, legend_text)
h_axes = zef.h_axes1;
axes(h_axes);
c_map = lines(size(plot_vec,2));
c_map = c_map + 0.1;
c_map = c_map/max(c_map(:));
n_time = length(plot_vec);
time_step_length_aux = (nse_field.time_length - nse_field.start_time)/(n_time-1);
plot_data_ti... |
67f23b754fa343e4192a5ebef4fe54f6139c396f10a4d437990ba5a79a0a4679 | MATLAB | 969 | 18 |
zef.LeadFieldProcessingTool.app.currentLeadfield.Data={zef.lf_tag, zef.imaging_method_cell{zef.imaging_method}, size(zef.sensors, 1), size(zef.source_positions, 1), zef.lead_field_id};
if zef.LeadFieldProcessingTool.bankSize>=1
for zef_LeadfieldProcessingTool_startIndex=1:zef.LeadFieldProcessingTool.bankSize
... |
8a1c2892cd35c9e505019f4ca1ecfe0985f855821d9910c9d4de1abe507cf6c9 | MATLAB | 969 | 32 |
load('sleep_deprivation_branching_parameter')
st=std(wakefulness_ratio_new-drowsiness_ratio_new);
m=mean(wakefulness_ratio_new-drowsiness_ratio_new);
figure
for t=1:6
r=normrnd(0,0.1);
plot([1.2,1.8],[wakefulness_ratio_new',drowsiness_ratio_new'],'--o','linewidth',3,'color',[r+0.7,r+0.7,r+0.7],'Ma... |
c0e7af8e438b9ead0d017a04f0110c441d7feb68794bcc329f1cdbffe9ef92a3 | MATLAB | 969 | 30 | 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]
%|A\... |
0878c9904d8da49a4b57e8d29592526878b99947e7bda17606f541bec6bd5565 | MATLAB | 971 | 29 | function zef = zef_dataBank_add_data_item(zef,data_type,parent_node_name,node_name)
zef = zef_dataBank_refreshTree(zef);
h_tree = zef.dataBank.app.Tree;
hash_list = zef.dataBank.hashList;
h_tree.SelectedNodes = zef_dataBank_treeSearch(h_tree, parent_node_name);
if ischar(data_type)
if eval(['ismember(''' data_typ... |
b04609edacb55251dc2564e785bd1da64af60abf275c031ca92cef04e7e0ee80 | MATLAB | 971 | 45 | function ETO_ROICallback(hObject,eventdata,strLocation)
%get globals
global sETO;
%check which slider
dblVal = get(hObject,'Value');
if strcmp(strLocation,'LT')
%start x
intType = 1;
elseif strcmp(strLocation,'RT')
%stop x
intType = 13;
elseif strcmp(strLocation,'LB')
%start y
intType = 2;
elsei... |
d154edfdf4066d6a0b4c9497dcf1b06be6d1e8d5371b3d834b767be6c50a0a05 | MATLAB | 971 | 40 | % estimate the center of the ROI and the theeshold given a set of
% covariances matrices.
function [C th dist] = potato_estimation_iterativ(COV,method_mean,method_th,method_distance,args)
if nargin <2
method_mean = 'riemann';
method_th = 'median';
method_distance = 'riemann';
end
if ... |
280d1f077b5fff18377f3b6483c67b1473b0679cb267189a321ee8c082de9b93 | MATLAB | 972 | 24 | function [istart,istop]=sw_local_threshold(env, istart0, istop0, threshwin, threshold)
%$ function to return local threshold crossing for
if istart0> threshold %min n samples from start
k1=find( env(istart0- threshold : istart0-1)<threshold & env(istart0- threshold+1 : istart0)>threshold, ... |
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