sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ac12573df8c6389f85706ca010e9fb69f8ac58df55a6adf10a52fba93108ac81 | MATLAB | 911 | 22 | function [matched_tips, unknown_tips, known_tips] = assign_tips(known_tips, unknown_tips, threshold_distance)
%loop until all known or unknown are assigned, or until
%threshold_distance is reached
matched_tips = zeros(size(known_tips));
known_indecies = 1:size(known_tips,1);
while ~isempty(kno... |
b586526fcdd86311614b2c581e7ebc622c54c678f24455e76bec137387b9ea73 | MATLAB | 911 | 38 | function error_area(X,Y,barlength,color,alpha,varargin)
X = X(:);
Y = Y(:);
barlength = barlength(:);
if nargin == 6
linestyle = varargin{1};
linewidth = 1;
elseif nargin == 7
linestyle = varargin{1};
linewidth = varargin{2};
else
linestyle = '-';
linewidth = 1;
end
Yab... |
de376d646a0a7bd4b9da730ddc139ebecbdb0a476c714e399cd6c7178e1f6a53 | MATLAB | 911 | 29 | function OPT_S = had_step(SC,OPT_S,HAD_S)
ind_it=OPT_S.ind_it;
OPT_S.las_SLM_flag = 1;
OPT_S.cam_SLM_flag = 1;
f_fin = OPT_S.f_fin;
num_phases = OPT_S.num_phases;
phases = OPT_S.phases;
%% fit sinus
ind_mask=mod(ind_it-1,HAD_S.total_its)+1;
mask_f = had_get_mask(SC,HAD_S,ind_mask);
for p=2:num_phases
f0=f_fin.*(m... |
007e90e96bfb50cc3b40f3444f0516e5e888b7a367f753bd2a941fb7fb3b4830 | MATLAB | 912 | 36 | function saveSepFigures( fileType, location )
%% Save each open figure as the specified file type in a specified location
%
%
%
% Maxwell Gagnon 11/17/2017
% This returns the list of all open figures
figHandles = findobj('Type', 'figure');
% Loop through each figure and save each
for i = 1:length(figHandles)
... |
010756beb23e2d545e0566441cda361aeb099458951a48fb1c1bb8dd9683ba3d | MATLAB | 912 | 28 | function bn = bacon_numbers(A,u)
% BACON_NUMBERS Compute the Bacon numbers for a graph.
%
% bn = bacon_numbers(A,u) computes the Bacon numbers for all nodes in the
% graph assuming that Kevin Bacon is node u.
% allocate storage for the bacon numbers
% the ipdouble call allocates storage that can be modified in place.... |
2eb8bda53a0b37b0b04e6475ec216640f32860cdeed4e5c2b4abd421ff704410 | MATLAB | 912 | 48 | test = round(50*rand(50));
bg = mean2(test)
test2 = test;
for i = 1:(2+round(5*rand(1)))
diameter = 3+round(3*rand(1))
blob = round(bg + (1+(5*rand(1)))*(25*rand(diameter)))
x = 9+round(32*rand(1));
y = 9+round(32*rand(1));
test2(x:(x+diameter-1),y:(y+diameter-1)) = blob;
end
sd = stdfilt(test2);
weight ... |
a8d3f397caab41fb395aa444f790e154c21097cadb18e3b05a384d9c634e6679 | MATLAB | 912 | 31 | function H = vl_histmarg(H, dims)
% VL_HISTMARG Marginal of histogram
% H = VL_HISTMARG(H, DIMS) marginalizes the historgram H w.r.t the
% dimensions DIMS. This is done by summing out all dimensions not
% listed in DIMS and deleting them.
%
% Remark::
% If DIMS lists only one dimension, the returned histog... |
d6b736159fbd5031e027ce9b25b42c4a463384f430ebbf9a42c1d8e29103fe85 | MATLAB | 914 | 29 | function bgtraces=generate_outtraces_from_masks_exclude(video,masks)
% Generate background traces for each neuron from ground truth masks.
% Background intensity is the median of the intensity in the nearby
% region of the neuron, but excluding the neuron itself.
[Lx,Ly,T]=size(video);
[Lxm,Lym,ncells]=size(masks);
[... |
82f8000faa9f1c4b236ae712f56e6d375903bfe19769abc72c50cc59e84bdef4 | MATLAB | 915 | 30 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [hFig] = bfo90table_plot_all_prob(MeanTable, ErrorTable, showExcluded)
colours4 = colour_matrix_blue_red_yellow_purple();
Y = MeanTable.all_prob;
E = ErrorTable.all_prob;
if showExcluded
Y(:,5) ... |
a24ba7b5aaeae64d125a209278aaa24102ee3606432f9aaeb5d79fbaa6d82377 | MATLAB | 915 | 27 | % SONDATETIME gets or sets the creation data/time data in a SON file
% The date/time are returned in standard MATLAB format
%
% Implemented through SONDateTime.dll
%
% DATEVECTOR = SONDATETIME(FH)
% returns the creation date/time from the file
% DATEVECTOR1 = SONDATETIME(FH, DATEVECTOR2)
% set... |
de00cc3a03f038d5f8525f1b79199828b63416df7f23dc6b354a93a57a0f654d | MATLAB | 915 | 25 | function scores = PascalOverlap(targetBox, testBoxes)
% scores = PascalOverlap(targetBox, testBoxes)
%
% Function obtains the pascal overlap scores between the targetBox and
% all testBoxes
%
% targetBox: 1 x 4 array containing target box
% testBoxes: N x 4 array containing test boxes
%
%... |
21962a3e97b0e11be037bce3db3dc1836baac15cf306de44f91e7651a27f4631 | MATLAB | 916 | 34 | function y = Wfilt(x,f1, f2);
%
% filter signal at the Whisking range (1 - 50 Hz)
% for now only the low-pass works...
%Normalized (0 to 1), where 1 corresponds to the Nyquist frequency
globals;
if nargin < 3
f1 = 1; %Hz, whisking range filtering
f2 = 50; %Hz, whisking range filtering
end
x=cast... |
94bd50149370adbe64a0e52df711476d4d09a571b2fd88c3730776f10e1186fb | MATLAB | 916 | 42 |
function a=cronbach(X)
%Syntax: a=cronbach(X)
%_____________________
%
% Calculates the Cronbach's alpha of a data set X.
%
% a is the Cronbach's alpha.
% X is the data set.
%
%
% Reference:
% Cronbach L J (1951): Coefficient alpha and the internal structure of
% tests. Psychometrika 16:297-333
%
%
% Alexandros Leonti... |
917aa65ed3768d479c4803119c7e6aafecfb9cdffba504bb4dea96bd43a31c4e | MATLAB | 918 | 30 | function [Spos Sneg vpos vneg] = strengths_und_sign(W)
%STRENGTHS_UND_SIGN Strength and weight
%
% [Spos Sneg] = strengths_und_sign(W);
% [Spos Sneg vpos vneg] = strengths_und_sign(W);
%
% Node strength is the sum of weights of links connected to the node.
%
% Inputs: W, undirected conne... |
e2a632c78c468c96886d28cd8eda5718fa7648c7db6c487fe83a447354080741 | MATLAB | 918 | 37 | function isArgEven = aedes_iseven(inarg)
% AEDES_ISEVEN - Check if input is even
%
%
% Synopsis:
%
% Description:
%
% Examples:
%
% See also:
%
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Juha-Pekka Niskanen <Juha-Pekka.Niskanen@uku.fi>
%
% Departme... |
11e69ba41260905ddb73a80bdcd8481a7da43804da3a3629ef39030b86933e1f | MATLAB | 919 | 37 | function [im, scale] = readImage(imagePath)
% READIMAGE Read and standardize image
% [IM, SCALE] = READIMAGE(IMAGEPATH) reads the specified image file,
% converts the result to SINGLE class, and rescales the image
% to have a maximum height of 480 pixels, returing the corresponding
% scaling factor SCALE.... |
148e297d9f0a92e6a62ea003f8e4da0943b2849f4da422d9ebb907eaa059de34 | MATLAB | 919 | 36 | function fun = InvProbV1(x,Imat_t,dsr_t,ni,nh,no,tn,delta,data)
wh = reshape(x(1:ni*nh),[ni,nh]);
wo = reshape(x(ni*nh+1:ni*nh+nh*no),[nh,no]);
bh = (x(ni*nh+nh*no+1:ni*nh+nh*no+nh))';
bo = (x(ni*nh+nh*no+nh+1:ni*nh+nh*no+nh+no))';
y_r = reshape(x(ni*nh+nh*no+nh+no+1:ni*nh+nh*no+nh+no+no*tn),[tn,no]);
bhmat =... |
9c061ff4603317b4427203f13d0f3fc5032810771fee890237fd458f51d15dec | MATLAB | 919 | 20 | %% calculate the topological properties of morphological WM networks
path = pwd;
cd ..
data_path = [pwd '\step0_network_construction'];
cd(path)
[Net_para, Node_para] = gretna_batch_networkanalysis_bin([data_path '\VBM_smooth'], 'JS', 0.09, 0.3, 0.02, 100, 'pos', 's');
save('VBM_Net_para_bin_smooth.mat','Net_para','No... |
ced8f1440b2fdd62a94ed0bd56a5c3dade6951c263acf9fd8d31ead1cb925eb5 | MATLAB | 919 | 35 | function [avercc, cci] = gretna_node_clustcoeff(A)
%==========================================================================
% This function is used to nodal clustering coefficient of a binary graph G.
%
%
% Syntax: [avercc, cci] = gretna_clustcoeff(A)
%
% Input:
% A:
% The binary adjacency matrix of ... |
50d3c56cacd89f25085c24c04560136e0cd4b763fe04b24e7eeabed174a6eeec | MATLAB | 921 | 27 | function [report_data] = report_print(report_data, state)
% Example of iteration reporting function.
% Prints some information about the component.
%
% Copyright (C) 2004, 2005 DSS MATLAB package team (dss@cis.hut.fi).
% Distributed by Laboratory of Computer and Information Science,
% Helsinki University of Technology... |
6bd21f7bbb7364a6240ce8cd8a080df0ad8d059016735bbd1781b2173ab28077 | MATLAB | 921 | 41 | function [ynn_t,nn_dyn,Xi,Ai] = TrainNLD(Imat_t,dsr_t,nh,no,tn)
X = tonndata(Imat_t,true,false);
T = tonndata(dsr_t,true,false);
trainFcn = 'trainscg';
inputDelays = 0;
feedbackDelays = 1;
hiddenLayerSize = nh;
netnarx_d = narxnet(inputDelays,feedbackDelays,hiddenLayerSize,'closed',trainFcn);
netnarx_... |
0005b5d1ea698960563213b676a2aefeeb6230c1195fe0f63571d12e797df4ac | MATLAB | 922 | 39 | % Hannah Payne
% raster.m
% Makes a raster plot
% 11/22/11
%{
raster(t) Plots vector of spike times t at a default height of 1.
raster(t,y) Plots spike times t at height y. If y is a scalar, all spikes are plotted at same height. If y is a vector (must be same length as t) spikes are plotted at corresponding height.
... |
476933faa8741d2ebca1fd8f90be36facc8255ecb6b2275c734f7e47fd3e353f | MATLAB | 922 | 28 | function [HistSpl] = OneModifiedCardinalSpline(lag,c_pt)
%6/19/22
% adapting method from Sarmashghi et al. paper for one MC spline
assert(numel(c_pt) == 2,'this function only handles two control points')
HistSpl = zeros(lag,length(c_pt));
%for each 1 ms timepoint, calculate the corresponding row of the glm input matr... |
5a75a580e0fd5ba8d620d7b70202952a4af59abd703a3e96b07f7147d81baeda | MATLAB | 922 | 31 | function [newList] = interpret_image_list(oldList)
% takes an old stimulus list in cell-array form and returns an equivalent
% list column with stimulus image file names in the new format
nTrials = size(oldList,1);
fprintf('List contains %d trials.\n',nTrials);
newList = cell(nTrials,1);
% loop over trials
for i = 1:... |
c03ddaf09d90284a14e5ebc997d96ff6e8b70f0edc3d0a66de3e4b1a47820f80 | MATLAB | 922 | 50 | %
% Preferential attachment tests.
%
% PARAMETERS
% $network
%
% INPUT
% dat/pa.$NETWORK.mat
% dat/pa_data.$NETWORK.mat
% dat/info.$NETWORK
%
% OUTPUT
% plot/pa.[a][auv].$NETWORK.eps
%
network = getenv('network')
consts = konect_consts();
info = read_info(network)
pa = load(sprintf('dat/pa.%s.mat', network)); ... |
41191af8807213c0c136dcac6a7f42420caf951b7810b01ed329975e95e1081b | MATLAB | 923 | 20 | function [filteredTracks, track_indecies_preserved] = FilterTracksByTime(Tracks, startFrame, endFrame, entire_duration_required)
%Takes a list of tracks and filters them based on start and end frames.
% Detailed explanation goes here
%fps = 14;
if nargin < 4
entire_duration_required = false;
end
... |
aae174389d7195f0b8179f294371d54918ecf3f9993ec3a941f5625df7a942a2 | MATLAB | 924 | 25 | % mglLines2.m
%
% $Id$
% usage: mglLines(x0, y0, x1, y1,size,color,<anti-aliasing>)
% by: justin gardner
% date: 04/03/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: mex function to plot lines on an OpenGL screen opened with mglOpen.
% ... |
d119241dcfe93505b49732abcd8b2745cce0fd20053e65fcc03d8bda2e1afb59 | MATLAB | 924 | 29 | function [CIJ] = maketoeplitzCIJ(N,K,s)
%MAKETOEPLITZCIJ A synthetic directed network with Gaussian drop-off of
% connectivity with distance
%
% CIJ = maketoeprandCIJ(N,K,s)
%
% This function generates a directed network with a Gaussian drop-off in
% edge density with increasing distance fro... |
13218dcad589fc2735e1fca724d45e05d57f46f3962181b9d145b1d2e718a058 | MATLAB | 925 | 33 | %% Misc Calibration code
clear;clc;close all
expmtDataFolder = 'G:\My Drive\Expmt Data\Amin\LTD Project Final Raw Data';
allFiles = dir([expmtDataFolder, '\**\*.mat']);
allFiles(contains({allFiles.name}, {'settings'})) = [];
allFiles(contains({allFiles.name}, {'time'})) = [];
allFiles(contains({allFiles.name}, {'vid... |
7098dbcf98258ae1145c8707f89d0c6a525bdb5f75c19df9b42777e699f70614 | MATLAB | 925 | 25 | function [ISI,LV,CV2] = getLV_CV2 (X)
%%% Inter-spike intervals (ISI) & Co-efficient of Variation 2 (CV2)
%%% - ISI are the inter-spike intervals
%%% - LV and CV2 shows two metrics regarding the variation in spiking intrinsic to the neuron
%%% Input:
%%% X = spike times
j = length(X);
ISI = diff(X);
fo... |
f761dd6eb5c072b3c72075ecbbe61daf26415d3402aa7b3ca80a79c36e0fff88 | MATLAB | 925 | 31 | function [units, points, preTrig]=SONGetExtMarkInfo(fh, chan)
% SONGETEXTMARKINFO returns details about an extended marker channel
%
% [UNITS, POINTS, PRETRIG]=SONGETEXTMARKINFO(FH, CHAN)
%
% INPUTS: FH the SON file handle
% CHAN channel number (0 - SONMaxChans()-1)
%
% OUTPUTS: UNITS a string with... |
4339cc790c6476025943485caac07f6308472f304ca9c44b5db3c400cc9d64b2 | MATLAB | 926 | 26 | function allFrames = ml_cai_io_scopereadavi_all(videoFolder, videoPrefix, videoSuffix)
fileList = dir(fullfile(videoFolder, sprintf('%s*%s', videoPrefix, videoSuffix)));
if isempty(fileList)
error('No video files to process');
end
numFiles = length(fileList);
fprintf('Found %d files to proc... |
324e7a147b1a18cf4cb959255add2bb098b5b610e7dc2729b30f4bf654fb3746 | MATLAB | 927 | 48 | function [pnt, tri] = read_vtk(fn)
% READ_VTK reads a triangulation from a VTK (Visualisation ToolKit) format file
% Supported are triangles.
%
% Use as
% [pnt, tri] = read_vtk(filename)
%
% See also WRITE_VTK
% Copyright (C) 2002, Robert Oostenveld
%
% $Id: read_vtk.m 8962 2013-12-05 07:48:46Z roboos $
fid = fope... |
05497121b075a07e85cb2c6f300e9f69b951063a50a6a761ba311955d39b4dff | MATLAB | 928 | 62 |
function class_info=gen_class_info_nyud()
class_info=[];
class_info.class_names={
'wall'
'floor'
'cabinet'
'bed'
'chair'
'sofa'
'table'
'door'
'window'
'bookshelf'
'picture'
'counter'
'blinds'
'desk'
'shelves'
'curtain'
'dresser'
'pillow'
'm... |
7075e7adf39d321215b623b50febf955f3edb9ed95f9b0739df72224c813857a | MATLAB | 928 | 34 | function simulation_create_directories(outdir, simulation_name, voxel_positions, snrs)
folder_simulation_data = [outdir filesep 'simulation_data' ];
if ~exist(folder_simulation_data,'dir')
status = mkdir(folder_simulation_data);
end
folder_simulation_name = [ folder_simulation_data filesep simulatio... |
b430669a92ad3495bbb28068cd860c813fd23a1d780f3f983a91ec209c394d07 | MATLAB | 928 | 31 | function mglEyelinkEDFGetFile(fileName, fileDestination)
% program: mglPrivateEyelinkEDFGetFile.c
% by: eric dewitt and eli merriam
% date: 02/08/09
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Receives a data file from the EyeLink tracker PC.
% usage: mglEyelinkEDFGetF... |
ccac8c553696c08e669c17d3e50bcf86bde501244b33491674f64585a71b349f | MATLAB | 929 | 34 | function disp(obj)
% Display a file_array object
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: disp.m 8776 2013-11-14 09:04:48Z roboos $
if numel(struct(obj))>1,
fprintf(' %s object: ', class(obj));
sz = si... |
93d9a37dd54c55bfde6e1d84613d5c6d0c6a40735f1c634bf73f6482d7d93306 | MATLAB | 930 | 25 | function timepoints = getTimePointsTrialToAverage(selectionType, timeWindow, data)
switch selectionType
case 'simpleOnset'
[~,timepoints] = intersect(timeWindow,[4:12]);
timepoints = timepoints';
case 'variableOnset'
[~,zeroIdx] = find(timeWindow==0);
threshOnset = 0.1;
... |
1fd3ddbdac729f359f88b1b0b6d3bc04a43b7e1b3c62bdb36bc950892cfd5996 | MATLAB | 932 | 28 | function [] = plot_triangle(centers_x, centers_y, areas, colors, point_down)
%plots any number of triangles
number_of_triangles = length(centers_x);
if nargin < 5
point_down = false(number_of_triangles,1);
end
hold on
for triangle_index = 1:number_of_triangles
base_length = sqrt(4*ar... |
51f8740685dc494e83198cdb83cc5470518fdec50c84f407ddc439c99ba7a811 | MATLAB | 932 | 20 | function mltp_compute_bfo_90_placey(obj, session)
outputFolder = fullfile(session.getAnalysisDirectory(), obj.Config.best_fit_orientations_placey.outputFolder);
rotDeg = 90;
numContexts = obj.Experiment.getNumContexts();
mirrorContexts = zeros(1,numContexts); % Set entry to 1 to mirror the context... |
6961ed1c969942a2c817f98f650cd543bc1130643cd00e4617e77ba09b2c318d | MATLAB | 932 | 32 | function plotresults(results)
%% Plot raw data
clf;
alldata = [results.pupil1(:,1) results.cr1a(:,1:2)...
results.pupil2(:,1) results.cr2b(:,1:2)];
ylims = [min(alldata(:)) max(alldata(:))];
%% Camera 1
h(1)=subplot(2,1,1);
hp(3) = plot(results.time1, results.cr1a(:,2),'b-'); hold on;
hp(1) = plot(results.... |
bf7fe03870527696f0c5f0a7c02036320ce9f57f357328e0ac1b04af4aedd003 | MATLAB | 932 | 21 | function [mySquareKernel] = ml_util_compute_rect_compressed_kernel(arenaLengthRatio, smoothingKernelGaussianSize_cm, sigma_cm, cmperbin_square_smallest)
% This compute an asymmetric gaussian kernel used for the compressed
% rectangle
% arenaLengthRatio is length_x / length_y in physical lengths. eg. 20 / 30... |
353fac246dc2a2fc45d981b786d9fac8aa0ac642b89fe598cd69693ebf3cd544 | MATLAB | 933 | 41 | function [ynn_t,nn_dyn,Xi,Ai] = TrainNLD4ParMCNN(Imat_t,dsr_t,nh,no,tn)
X = tonndata(Imat_t,true,false);
T = tonndata(dsr_t,true,false);
trainFcn = 'trainbfg';
inputDelays = 0;
feedbackDelays = 1;
hiddenLayerSize = 2*nh;
netnarx_d = narxnet(inputDelays,feedbackDelays,hiddenLayerSize,'closed',trainFcn);
... |
dc808d18b13435d5a627b841827e799b0e5e00af9b665cf6c4291fdf6fda7f27 | MATLAB | 933 | 42 | %
% Plot precisions for one network/method combination.
%
% PARAMETERS
% $NETWORK
% $METHOD
%
% INPUT
% dat/precision.$METHOD.$NETWORK.mat
%
% OUTPUT
% plot/precision.one.[a].$MEASURE.$METHOD.$NETWORK.eps
% for all $MEASURE
%
network = getenv('NETWORK');
method = getenv('METHOD');
precision = load(sprintf('dat/p... |
e16b7396536f26800ad523726b49b9480aba0452e52ec3c394229562f1683874 | MATLAB | 933 | 41 | function [ynn_t,nn_dyn,Xi,Ai] = TrainNLD4ParECNN(Imat_t,dsr_t,nh,no,tn)
X = tonndata(Imat_t,true,false);
T = tonndata(dsr_t,true,false);
trainFcn = 'trainbfg';
inputDelays = 0;
feedbackDelays = 1;
hiddenLayerSize = 2*nh;
netnarx_d = narxnet(inputDelays,feedbackDelays,hiddenLayerSize,'closed',trainFcn);
... |
fdde5c6a0b37f1efc0ca655bfefeb9163d3e2eac26e7302cb5ec07eaf189be66 | MATLAB | 934 | 23 | function h=plotCI(data_GA, channel, N, color, varargin)
% Plots grand average data with confidence intervals
% h = plotCI(data_GA, channel, N, color, varargin)
% options:
var=ft_getopt(varargin, 'variance'); % this provides the option to manually add the variance matrix if not available in data_GA
chanidx=strcmp(data... |
07a7bc2d33d19a68949fc7266106c75ccd4640cccfc04adb6aae39ac000586fc | MATLAB | 936 | 32 | function [] = Fig01_Example_RawTraces_WT
% Fig01_Example_RawTraces_WT.m: Code for plotting the example song trace in Fig. 1a.
load('Mic_20210923_02_1.mat')
%% parameters
RecDur = 1320; % 1320 s = 22 min
DAQrate = 5000;
%%
Target_Range = [0:5000*6.15]+5757000; % 6.15 s
figure('Position',[100,100,180,180])
hold on
pl... |
7c7c23943499aaf42c64a2526a0cee1feb6cb10086ee2e39ff42c46910126277 | MATLAB | 936 | 42 | % mglTestLines: an automated and/or interactive test for rendering.
%
% usage: mglTestLines(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test rendering some lines.
% usage:
% % You can... |
8dc4a9ed517e5225008a7786a690e2aaead46418854061d4a3bdaa7764e33d33 | MATLAB | 936 | 33 | %% how many points are within d and how many within d+d?
load('markerCoordinates');
for r= [10 20 30 40 50];
%%
smallRadius = r;
bigRadius = 2*smallRadius; % gives same area
for iSynapse= 1:size(vglut1XY,1);
%% within small circle
% circle center is iSynapse X and Y
circleCenter = [vglut1... |
eb0cddac0b8ea3e7de7afd740ead3b99fb4f7c5b936c9140fb884c626b97a58f | MATLAB | 936 | 29 | % clear;
addpath(genpath('.'))
addpath(genpath(fullfile('..','ANE')))
%%
dir_video=fullfile('..','data','data_TENASPIS','added_refined_masks');
list_Exp_ID={'Mouse_1K', 'Mouse_2K', 'Mouse_3K', 'Mouse_4K', ...
'Mouse_1M', 'Mouse_2M', 'Mouse_3M', 'Mouse_4M'};
num_Exp = length(list_Exp_ID);
eid = 1;
Exp_ID = ... |
df012f6336c1163f1e7226c09d8c0f18526e4b4131c7425da5d84c20d3daac4a | MATLAB | 937 | 33 | function B = internal_energy(alpha,beta,gamma,nPoints)
%find the implicit relaxation matrix
% Penta diagonal matrix, one row:
b(1)=beta;
b(2)=-(alpha + 4*beta);
b(3)=(2*alpha + 6 *beta);
b(4)=b(2);
b(5)=b(1);
% Make the penta matrix (for every contour point)
A=b(1)*circshift(eye(nPoints),2);
A=A+b(2)*circshift(eye(nP... |
66bd0a4be0bfc69b687c1dd88c27795a8b56180b763bd5d69d4c8faf43ad42e5 | MATLAB | 938 | 39 | function [x y]=ml_egomaps_bresenham(x1,y1,x2,y2)
%Matlab optmized version of Bresenham line algorithm. No loops.
%Format:
% [x y]=bham(x1,y1,x2,y2)
%
%Input:
% (x1,y1): Start position
% (x2,y2): End position
%
%Output:
% x y: the line coordinates from (x1,y1) to ... |
74bcdca23e35555eb30b545c40a12c274f6a960a3a80fbdc39f3522a00388aff | MATLAB | 938 | 29 | function motion = motionfile_parse(prefix)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% VERSION: SPI April 10th 2014
% prefix is the directory and file name of the movement file for each run
% EG: W:\NIGG\Anal... |
aadddd94e1143e0fb86a8d6577ff45a7ffae49eade2e15ad589b79ff3eb21ca5 | MATLAB | 938 | 32 | clear
file=dir('ACC*stable*.mat');
k=1;lick_onset=[];neuron_oneset=[];
for jj=1:length(file)
load(file(jj).name)
totalevent=sort([Events.C1S3;Events.C1S5]);
hit=find(outcome(:,1)==1);
licktime=[];
for i=1:length(hit)
cuetime=totalevent(hit(i),1);
tp=find(Events.IN1>=cue... |
ff7fbf3ef27187a6d54c82face3f13bdff379c76efde276ba6a7caf0f42301b3 | MATLAB | 939 | 39 | function ret=SONChanDelete(varargin)
% SONCHANDELETE deletes a channel from a SON file
% RET=SONCHANDELETE(FH, CHAN {,QUERY})
% FH = file handle
% CHAN = channel number 0 to SONMAXCHANS-1
% QUERY (if present) = 0 Do not query
% <> 0 Query before deleting (de... |
0dc055ae744a30e8a9bb2f3d8f68cfea5288e417d0328399b1bd2278da884277 | MATLAB | 940 | 40 | function [pos]=bresenham(x1,y1,x2,y2)
%Matlab optmized version of Bresenham line algorithm. No loops.
%Format:
% [x y]=bham(x1,y1,x2,y2)
%
%Input:
% (x1,y1): Start position
% (x2,y2): End position
%
%Output:
% x y: the line coordinates from (x1,y1) to (x2,y2)
%
%... |
813620af0631657242eca6840d9ec567c8723f9190c0e397ed73fdfdf1e8eb68 | MATLAB | 940 | 46 | function [fCorr]=interp_f(F,Fneu,bad_frames)
%INPUTS
% bad_frames: 2 x #stims array. First column is first bad_frame, second
% colummn is last bad_frame
%OUTPUTS
% fCorr: Neuropil corrected and interpolated F
count= size(F,1);
fCorr=F-Fneu*.7;
intervals= zeros(size(bad_frames,1),2);
intervals(:,1)=... |
2546edc86711eb701d1d6500a6afe64623ebeccbc4bfc507c0528e15f2cf4b02 | MATLAB | 941 | 24 | function [cut] = cut_timestamps(vector_stamps, vector_marker, m_t, p_t, n_marker)
%% Function to cut timestamps based on a specified marker and time window
%% authors: Stefano Diomedi
%% date: 22nd February 2024
%
%% Inputs:
% vector_stamps: Vector of timestamps
% vector_marker: Vector of markers
% ... |
fa30f445192eace264a2a2d337507d21511e856460080b78d576bdce87917509 | MATLAB | 941 | 37 | function angles = ml_alg_center_out_angle_discrete_bias(nX, nY)
% This computes the samples of center out angles when points are
% picked uniformly at random from rectangular maps of size nX by nY
if mod(nX,2) == 0
centerX = nX/2;
else
centerX = 1 + (nX-1)/2;
end
if mod(nY, 2) == 0
... |
20fab7577ee401812daa7db2fca98c5bb455881b8ef380ea5fd59c5df7e3bb22 | MATLAB | 942 | 28 | function [A, W] = dss_fastica(Y, wM, dwM, params)
% DSS with FastICA-like interface
% [A, W] = dss_fastica(Y, wM, dwM, params)
% Y Whitened data
% wM Whitening matrix
% dwM De-whitening matrix
% params DSS algorithm parameters (optional)
% A Mixing matrix (de-whitened) Y = A... |
92f5e0644b7293cb69a7f4618c8a4032ebb6f467041edbbe89d0672a45ebd990 | MATLAB | 942 | 49 | function [dirv] = ml_alg_placemap_dirvector(mapA)
% Some maps can be all zeros or all nan or empty, so check
if all(mapA == 0, 'all') || all(isnan(mapA), 'all') || isempty(mapA)
dirv = [];
return
end
nX = size(mapA,2);
nY = size(mapA,1);
if mod(nX,2) == 0
cent... |
e21abfc1a43aa98f9ccacd80caa1ccd29da08e967b2ba2aa0cc275f229eba976 | MATLAB | 942 | 35 | function [VelSineFit, amp, phase] = desaccadeAndSineFit(eye_pos_raw)
%% PARAMETERS
samplerate = 1000;
presaccade = 50;
postsaccade = 50;
freq = 1;
segLength = length(eye_pos_raw);
segTime = (1:segLength)/samplerate;
eyeVel = diff(eye_pos_raw);
params.saccadeThresh = 10000;
params.NoiseAnalysis = 0;
%% REMOVE OBVIOU... |
335b9558c892a394b4a62359a169038f3d7653b25644d896f5db75e1e584d34d | MATLAB | 943 | 41 | function files = checkMinNumSamplePerInd(files)
%init
indexrem = [];
numSamplePerInd = zeros(numel(files), 1); %larger init to be sure
%loop on files to compute num of samples for each ind
for i = 1 : numel(files)
filename = files(i).name;
ind = str2double(getIndName(filename)); %IITD
numSample... |
abdafa72dc707f241df1da6de5d652fbebd0e19715914cef710c14596020842b | MATLAB | 944 | 45 |
function output_info=cnn_layer_path_merge_forward(input_info, layer, work_info_batch)
assert(input_info.is_group_data);
input_info_child_groups=input_info.data_child_groups;
child_num=length(input_info_child_groups);
input_info_paths=cell(0);
for g_idx=1:child_num
one_input_info=input_info_child_groups{... |
d35b832027f96429c0200e58ec0e324b4864cbd9ac5d98482da4bc148083baff | MATLAB | 944 | 35 | function output_info=move_output_info_gpu(output_info)
if output_info.is_group_data
data_child_groups=output_info.data_child_groups;
output_valid_flags=output_info.child_valid_flags;
data_child_groups=data_child_groups(output_valid_flags);
child_num=length(data_child_groups);
for g_idx=... |
d75d89849871a809e97460f8ab41baf9db7eb422664be703912c5b8ea6857a71 | MATLAB | 944 | 49 | function [d dt pred] = bfs_in_mbgl(A,u)
% BFS_IN_MBGL Reimplement the BFS function with MatlabBGL visitors.
%
% [d dt pred] = bfs_in_mbgl(A,u)
%
% See BFS
%
% Example:
% load ../graphs/bfs_example.mat
% d = bfs_in_mbgl(A,1)
ip_d = ipdouble(-ones(num_vertices(A),1));
ip_dt = ipdouble(-ones(num_vertices(A),1));
... |
dd431b368e09497961f8652f7a543d65da8b173d62903577a41952d23c0cfbbf | MATLAB | 944 | 39 | function points_new = Renum_from_center(points,center,width)
%RENUM_FROM_CENTER
% 詳細説明をここに記述
D = pdist2(center,points);
figure;
histogram(D);
N = ceil(max(D/width));
points_new = zeros(size(points));
%id = D<width;
%a = SolvingTSP(points(id,:));
id = D<width;
b = points(id,:);
a = SolvingTSP(b);
point... |
f5f0c601d24e7eb83a0c15efa967126b30dc24187839117dc2ea91095091c942 | MATLAB | 944 | 22 | function [task myscreen] = mglEyelinkCallbackTrialStart(task, myscreen)
% mglEyelinkCallbackTrialStart -
%
% Usage: mglEyelinkCallbackTrialStart(task, myscreen)
% program: mglEyelinkCallbackTrialStart.m
% by: eric dewitt
% date: 04/03/06
% copyright: (c) 2009,2006 Eric DeWitt, Justin Gardner, Jon... |
f8be8bc6a179e62014cc1b516841ea466d8fcc245543f7c438bd5e54189a7928 | MATLAB | 944 | 23 | % SONFMODE creates a filter mask structure and/or
% sets the mode for marker filtering
%
% Implemented though SONFMode.dll
%
% FILTERMASK=SONFMODE(MODE)
% FILTERMASK=SONFMODE(FILTERMASK, MODE)
%
% INPUTS: FILTERMASK, if present, is a filter mask structure that will be
% copied to the output
% ... |
88e1bc3e06fd9cb486c5c9f3b70afa91b7c8477f6b6ff92164bd2c28f165b5dd | MATLAB | 945 | 35 | function [] = ExtDataFig01_Example_TimeCourse_OptStim_Song_TN1A
% TargetFileID = 2;
load('../Data/Summary/Mic_20211129_02_3.mat')
load('../Data/Summary/OptStim_20211129_02.mat')
TargetTrial = 1; % 4-2, 3-1, 3-5
load('../Data/Summary/EthogramComb_dPR1_Chr.mat')
%% parameters
nStim = 6;
RecDur = 1320; % 1320 s = 22 m... |
ba4c1c7f270d0fc043c3028a02f6bada2bb026e6bae89025ddf852c1e72962f0 | MATLAB | 945 | 39 | function [rotSeqRec, rotSeqVal] = ml_compute_best_map_rot_sequence(pmSet)
nMaps = size(pmSet,3);
R = nan(nMaps, nMaps);
rho = nan(nMaps, nMaps);
for iMap1 = 1:nMaps
for iMap2 = 1:nMaps
m1 = pmSet(:,:,iMap1);
m2 = pmSet(:,:,iMap2);
m2Rot = rot90(m2,2);
... |
9943aa1ddea6cd6f088fb64c7276f011a840ba0f646c36aac77a809b43ae7938 | MATLAB | 946 | 19 | classdef ContractPinTest < matlab.unittest.TestCase
% The client's copy of the shared contract (upload_contract.json, from tests/web/ in the
% server repo) must be the version pinned here. To change the contract, copy the new file
% in, update the hash below, and update tests/web/upload_contract.sha256 in t... |
d9cdc3f9aad7211457b603b366a8150901797d52c19a3e45a34516d9a6913175 | MATLAB | 946 | 41 | function varargout = getarg( args, id, varargin )
if isstruct(id) || isobject(id)
for f = fieldnames(id)'
[args,val] = getarg(args,f{1});
if ~isempty(val)
id.(f{1}) = val{1};
end
end
if nargout == 1
varargou... |
e3083a9eb72136ba7505b68fc9f0d308249129089797afad75ddad6ebcc92700 | MATLAB | 946 | 37 |
function output_info=move_output_info_cpu(output_info)
if output_info.is_group_data
data_child_groups=output_info.data_child_groups;
output_valid_flags=output_info.child_valid_flags;
data_child_groups=data_child_groups(output_valid_flags);
child_num=length(data_child_groups);
for g_idx... |
3aa508ea89ebada7cc7da55ece32da66c1735aa8a582ad3a3389048be3cb5a33 | MATLAB | 947 | 27 | function tree = set(tree,uid, parameter, value)
% XMLTREE/SET Method (set object properties)
% FORMAT tree = set(tree,uid,parameter,value)
%
% tree - XMLTree object
% uid - array (or cell) of uid's
% parameter - property name
% value - property value
%____________________________________________________... |
7718fa11614aa5df575851503423251af7442315824981dd4debc3feb8dd7752 | MATLAB | 947 | 29 | function [eyevelOut, omitCenters] = desaccadeVel(eyevelIn, threshold, presaccade, postsaccade, ploton)
%% Find saccades in eye movement and blank out an interval on either side
%find regions of data outside threshold;
omitCenters = abs(eyevelIn) > threshold;
%remove points around omit centers as defined by pre- & p... |
bab9b9df95d9fa7203e1f3eafe885f8732fe7ed0e620f068313f98a2cd206ae7 | MATLAB | 948 | 33 | % smoLegPos.m
%
% Function that takes in shifted, rotated, and normalized leg position and
% smooths it using Gaussian process smoothing.
%
% INPUTS:
% srnLeg - shifted, rotated, normalized leg position matrix (output of
% shiftRotateNormalizeLegPos())
% smoParams - parameters for Gaussian process smoothing
% ... |
c803484f18175b5b7e17949ce2078508a0d39d222f51fc6e139b915c6b0e63ca | MATLAB | 948 | 32 | function [traces]=generate_traces_from_masks_mm(mm,masks)
% Generate background traces for each neuron from ground truth masks
[Lx,Ly,ncells]=size(masks);
T=mm.Format{2}(2);
% [xx, yy] = meshgrid(1:Ly,1:Lx);
% r_bg=sqrt(mean(sum(sum(masks)))/pi)*2.5;
% if Lx==Lxm && Ly==Lym
% video=reshape(video,[Lxm*Lym,T]);
% ... |
ecf136a0383e25e88b162b7e60efe20b3c6d140c5b9f95e24026e99d9749e880 | MATLAB | 949 | 29 | function nii_deface_TRACE
%dirs = dirVisible('/Users/chris/SOOP/bids/sub-*');
%dirs = dirVisible('/Volumes/SOOP/soup/sub-*');
dirs = dirVisible('/Users/chris/SOOP/sooper/sub-*');
dirs = dirVisible('/Users/chris/fx/bids/sub-*');
for i = 1 : length(dirs)
folder = fullfile(dirs(i).folder, dirs(i).name, 'anat');
fl... |
377e9492263a5e3b03c4b14cf7486b4b3e255d0c9cd2a0d6e7ccc22f5f9eb131 | MATLAB | 950 | 62 | %%
i=2;% participant
j=3;% surviving frames
k=[3 1 2];
%
parcel='HCP_subcortical';
f=filesep;
list=dir([parcel f 'fconn*']);
load([pwd f parcel f list(k(j)).name])
load([pwd f parcel f 'raw_timecourses.mat'])
%
clc
cellfun(@sum,mask)
ix=find(mask{i,j});
x=raw_tc{i};
whos ix x
R=corr(x(ix,:));
RR=fconn(:,:,i);
c... |
872bbe07e7e9108003716a2b99700685ede4b91f100f1a55794c93389fec91dc | MATLAB | 950 | 27 | function log_entry = update_logs(folder_name, script_name, status, job_ID, comment)
% update the logs on cluster
try
master_log_name = '/tigress/LEIFER/Mochi/logs/masterlog.csv';
error_log_name = '/tigress/LEIFER/Mochi/logs/errorlog.csv';
log_name = [folder_name,filesep,'status.csv'];
... |
28a95a3a6cf8cd376886ce1c34687e024bb260cc491b4531d0648183e4b7a8ce | MATLAB | 952 | 24 | function AI = calculate_atonia_index(n_MiniEpochs,Fs,toConsider,averageEMGMiniEpochs_corrected)
%Help function to calculate the atonia index
% Create a vector with the miniEpochs to consider
include_miniEpochs = zeros(n_MiniEpochs,1);
for i = 1:n_MiniEpochs
theseSamples = (i-1)*Fs+1:i*Fs;
if sum(toConsi... |
383b3a5205464d03b027c54a5df0d2faaf936bc6800dfd66431b2ae655d9fcef | MATLAB | 952 | 28 | function [x_max y_max A]=crit_interp_p(y,x)
%[x_max y_max A]=crit_interp_p(y,x)
%fits a parabola to three points: y=[y(x(1)) y(x(2)) y(x(3))].
%Returns the position (x_max) and value (y_max) of the
%interpolated critical point (peak or trough).
%If x is omitted, it is assumed to be [-1 0 1]
%y=A(1)*x.^2+A(2)*x+... |
bde4b8d3a8f1357b221bbd71e01e10611ddb4a717ed273737783617f1d92ea57 | MATLAB | 952 | 34 | %
% Determine the median distance in the network, from the hop
% distribution.
%
% In case the atcual median value would be a non-integer, because we are
% averaging between two values, the result is rounded up, to always
% result in an integer. There must always be one pair of nodes for each
% possible distance betwe... |
c5024da1a108b1e62e630bb5fc833db847b661078e60aa405bfbb79861c9082a | MATLAB | 952 | 28 | function [seq] = make_sequence(data_set)
%% Function to generate emission sequence for a given trial across neurons
%% authors: Stefano Diomedi
%% date: 22nd February 2024
%
%% Inputs:
% data_set: Binned timestamps matrix (n_neu x n_bin)
%% Outputs:
% seq: Emission sequence generated for the trial
... |
08e77fb41700362117a223e50d301d4b35cd64c0e889c6a1c79f866704476018 | MATLAB | 953 | 35 | % sankey demo1
% -----------------------
% @author : slandarer
% 公众号 : slandarer随笔
% 知乎 : slandarer
figure('Name','sankey demo1','Units','normalized','Position',[.05,.2,.5,.56])
links={'a1','A',1.2;'a2','A',1;'a1','B',.6;'a3','A',1; 'a3','C',0.5;
'b1','B',.4; 'b2','B',1;'b3','B',1; 'c1','C',1;
'c2',... |
2dab781ce142e99640b863b1bcdb4eeff961eadff25e960bb1687d34131be369 | MATLAB | 953 | 31 | function [cnmfe, p] = ml_cai_cnmfe_compute( cnmfeOptions, alignedScopeFilenameFull, varargin )
p = inputParser;
p.CaseSensitive = false;
addRequired(p,'cnmfeOptions', @isstruct);
addRequired(p,'alignedScopeFilenameFull', @isstr);
addParameter(p,'verbose', false, @islogical);
parse... |
8623eaafcfe0d57081d035d5aae64bf05d7f0fd5b1a7a0011755f3bc864642e3 | MATLAB | 953 | 33 |
close all
addpath("matlabPyrTools");
addpath("matlabPyrTools/MEX");
warning('off', 'Octave:possible-matlab-short-circuit-operator');
im0 = pgmRead('reptil_skin.pgm'); % im0 is a double float matrix!
Nsc = 4; % Number of scales F: 4
Nor = 4; % Number of orientations F: 4
Na = 9; % Spatial neighborhood is ... |
93df9436c1a755953fe769a7a38c731c130556b3916dce326d8dfb0727f406e4 | MATLAB | 954 | 36 | function [AUC] = gretna_auc(Netpara,Delta)
%==========================================================================
% This function is used to calculate area under curve.
%
%
% Syntax: function [AUC] = gretna_auc(Netpara,Delta)
%
% Inputs:
% Netpara:
% Network parameters (m*n, m = observ... |
9f676cd814a87451654a6420402ea2faf16958442fcea895c73715eaa1ab2296 | MATLAB | 954 | 47 | %
% Return suitable values for the parameters of axis() given the
% range.
%
% Given X axis values, it returns values of axis(1) and axis(2).
% Given Y axis values, it returns values of axis(3) and axis(4).
%
% PARAMETERS
% x (n*1) Values to be plotted
% is_log (0/1) Whether a logarithmic axis is used
%
% RESULTS
%... |
f9d1938ec0bd6b63bc5ffb35b92bf559aff1d9d46f6a139d901003598134d535 | MATLAB | 954 | 28 | % Ehud, you'll need to change the paths here. I've put all of the files
% you'll need to run this up on the storWIS.
files=dir(fullfile('D:\Tracking\Thalamus\Thalamus36\20150906Thalamus36\PhaseII','*.mat'));
centerAll=importdata('C:\\Users\\bnoram\\Desktop\\Phase\\Center\\center_all.mat');
for ii=1:length(fil... |
b0fecc78e642aafb7f932320cad35d293063dab97bfcda88e8bfe5f9b71f17c2 | MATLAB | 955 | 29 | %
% Whether statistics should go up or down according to the shrinking diversity hypothesis.
%
function [updown_statistic] = get_updown_statistic()
updown_statistic.diameter = -1;
updown_statistic.network_rank_sq = -1;
updown_statistic.network_rank_norm4 = -1;
updown_statistic.gini = +1;
updown_statistic.cont... |
38f2146e6abdc464220ca9e5fa3a91099a154fee58510af6e7ba17f214390e59 | MATLAB | 956 | 31 | function [units, points, preTrig]=SONGetExtMarkInfo(fh, chan)
% SONGETEXTMARKINFO returns details about an extended marker channel
%
% [UNITS, POINTS, PRETRIG]=SONGETEXTMARKINFO(FH, CHAN)
%
% INPUTS: FH the SON file handle
% CHAN channel number (0 - SONMaxChans()-1)
%
% OUTPUTS: UNITS a str... |
6725a1cec21d37b6ede3fec455fcc801025ef545dbea3efbc39c8355bf009080 | MATLAB | 956 | 37 | function [s] = stderr(data, varargin)
%stderr.m
% history
% 9/28/20 updated to add omitnan
% 2nd optional arg is dim
% 3rd option arg is nanflag
% 10/23/20: noticed header line said se, changed to stderr
% to match file name
% 5/7/23 updating so default dim is largest input dim
dropnan = false;
if nargin >= 2 && ~... |
a67f5075c08a83137229e0c9dc934560a8e1463e6300c59549110423dc513a46 | MATLAB | 956 | 38 | function dxdt = GBMFuncidentifiable(t,x,fixed,params,indexchooseparam)
% This is our model of treatment free glioblastoma-immune dynamics to
% be used for practical identifiability analysis (GBM_identifiability_main.m).
% The code allows certain parameters to be fixed while others are
% varied in ord... |
c4ac04777fd31e82da0a3f7f1a541896a422a0fde7b364668ba08dcc8c3f63bc | MATLAB | 956 | 27 | function [ns_RESULT, LastError] = ns_GetLastErrorMsg();
%ns_GetLastErrorMsg Retrieves the extended error message for the last
%error
%
% Usage:
% [ns_RESULT, LastError] = ns_GetLastErrorMsg
%
% Description:
% Returns the last error message in text form to LastError. This
% function should be cal... |
e37d9885b30f98fc1bcd3859c4c03c780adac65c378a2bba381a6ee09de663d8 | MATLAB | 956 | 31 | function [params,X,means,wX,wM,dwM] = pre_sphere(params, X, dim)
% Spheres the data with the eigenvalue decomposition of the covariance matrix
% [params,X,means,wX,wM,dwM] = pre_sphere(params, X, dim)
% X Data to be sphered
% dim Requested result data dimension
% wX Sphered data
% wM Sphering ... |
026bb5634ca2773989d3d63a3dc6d6e88f5f546fae79fa4c5c162366afad1be2 | MATLAB | 957 | 30 | function [params,X,means,wX,wM,dwM] = pre_sphere_symm(params, X, dim)
% Spheres the data with covarianve matrix eigenvalue decomposition.
% [params,X,means,wX,wM,dwM] = pre_sphere_symm(params, X, dim)
% X Data to be sphered
% dim Requested result data dimension
% wX Sphered data
% wM Sphering ... |
020c81da66f2df4397c1fadbeafe1d0efdc4cdf167038f78c179c642d7c30431 | MATLAB | 958 | 40 | %
% The means by linear regression.
%
function [U,V] = means_regr(T, m, n)
r = size(T, 1);
s = round(r * .8);
val = (1+s) : r;
A_training = konect_spconvert(T(1:s, :), m, n);
A_training_mask = (A_training ~= 0);
A_testtraining = konect_spconvert(T, m, n);
A_testtraining_mask = (A_testtraining ~= 0);
meane ... |
1609b3f7a6ee55e21006d5236179bc4690e2c4a2ba83024ecd9fbd0b353f8249 | MATLAB | 958 | 26 | function [ text ] = getPatientInformation( obj )
% Display information about patient.
%
% Syntax:
% GETPATIENTINFORMATION( obj );
%
% Input parameters:
% * obj - object containg data
%
% Example:
% GETPATIENTINFORMATION( );
%
% Available at: https://github.com/NCN-Lab/DBScope
% For referencing, please use: Andre... |
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