sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
cc77dfc12b40fe94598e0627fcd3f7eeea0a51944f6e84cd7e4528bdf49d671d | MATLAB | 941 | 33 | %% load all data
%use psth fun to add the 10ms binned psth to the old all data.
clear
clc
%%
for i = 1:5
cd('G:\My Drive\תוצאות\PFC')
% take the old all data and add to the name
orig_exp_name{i} = uigetfile('*.mat');
selpath{i} = uigetdir('E:\2022', orig_exp_name{i});
exp_name{i} = [orig_exp_name... |
fe3af6e1a7c6fff6f341689b6d921d69509ee792791aefa303dd492096312d93 | MATLAB | 941 | 42 | function [ROISignals] = EXPext(niftiList, template, ROIIds)
% This program is intended to extract signal extraction from ROIs.
%
% input:
% niftiList: a list from nifti
% template: atlas.nii
% ROIIds: ROIs' list of atlas .nii
%
% output:
% ROISignals: [List, signalExp]
%
% by Hiroaki Hamada, oist, 2019/04/22
% extrac... |
e7c7b871ef7c2543f637339ee6cfbb115bd2978ca16794b3cdbaac92fb5d2723 | MATLAB | 943 | 35 | % Function to plot different boxpltos from several column vectors
% Input
% VC1,VC2,VCN: column vectors
% Labels=cell(N,1) Structure of NLabels
% Output
% Plot of Several Boxplots (different N data)
function columns2boxplot(varargin)
%% Setup
Nc=numel(varargin);
if iscell( varargin(end) )
Nboxes=Nc-1;
f... |
36f13c718ad140e0018424399e14e39738b236480f753872f31f0f0b76c86af0 | MATLAB | 944 | 39 | function [ dshared ] = compute_dshared( fa_model, var_exp_thresh )
%
% computes the shared dimensionality
%
% Input:
% fa_model - (struct), factor analysis model parameters
% var_exp_thresh - (scalar, [0,1]), variance explained threshold for
% determining dimensionality
%
% Output:
% dsha... |
4c2f9a49de55fa58e074fd1962d75758745c385b702074eceedb7afe77f8e8da | MATLAB | 944 | 27 | %% Example 3: Extract trial-averaged neural trajectories from PSTHs
% Perform dimensionality reduction with DimReduce and automatically
% visualize data in DataHigh. The data has 56 trials for two reach
% directions. Data is from (Yu et al., 2009).
%
% Please see User Guide and online videos for detailed instruct... |
934ddfa1fe7e98271178bd21f8f4d51d8274d5897a560d6641643740c853507f | MATLAB | 944 | 31 | %% Plot Venn Diagram
% Input
% ActivityGroups
% Output
% Plot
function plotvennCellActive(ActiveCells,Names_Conditions)
% 3 main SEPARATED groups:
KeepDoPlot=true;
if max(union(ActiveCells.AC_1,ActiveCells.AC_2))==max(ActiveCells.CellsIndx)
fprintf('>>OK')
else
fprintf('Something Wrong.\n');
KeepDoPlot... |
d39e9e2ba862382e02d52fc637b4ed10639e1c078cf436638e2b94caa1a87185 | MATLAB | 944 | 29 | function draw_histograms(handles, c2plot,USER_DATA)
%This function plot the histogram of the cluster number 'c2plot'
%handles should have the axes of that histogram. USER_DATA is the USER_DATA
%of wave_clus.
spk_times = USER_DATA{3};
classes = USER_DATA{6};
par = USER_DATA{1};
for i = c2plot
if classes == 0
... |
fed021e98cd298b68605c42e0dfafb6327e3ed6930ad1b5929cc8bcb5270223f | MATLAB | 944 | 35 | %% Please first run s1_Predict_Rsp.py to generate PRsp.mat before run this code
%% Prepare data
load('PRsp.mat')
load('../../Additional_Data/ROI.mat')
load('../../Additional_Data/imgset.mat')
%% Generate map
map = zeros(20480,20480,3,'uint8');
for ii = 1:128
ii
for jj = 1:128
xi = 129-ii;
... |
37b5e7fed30764cd8682d338c24d8c5e56559b9a1b6cc770a8d95dba2b86b3c0 | MATLAB | 947 | 35 | %% Function of mast cell travel and activation in the brain.
%mc_switch is the presence or lack of neuroinflammation,
% mc_start is the time of start of neuroinflammation, t is time.
%
function f = mc_activation(t, mc_switch, mc_start_time)
c = 1; %Amplitude of MC activation.
b = 20; %Strength of increase.
t... |
c6342c42d42fdddeaf7970419e0c248c801a09aca26b9245038595c06264cea9 | MATLAB | 947 | 18 | function [idx] = get_idx_linear(S,nSites)
% GET_IDX_LINEAR Concise index set for a single linear functional module.
% IDX = GET_IDX_LINEAR(S,NSITES) for functional module S and total number of observable components NSITES
% (without the reference variable s_ref) returns the indices of the elements of the NSIT... |
c76cc50cd548979c29c3730da398cf64ec65e28edd77ee542f959c7617305d87 | MATLAB | 947 | 51 | % Test function for subspace_mapping
%
% Reza Sameni, 2025
close all
clear
clc
% Parameters
ITR = 10;
K = 1000;
dim1 = 32;
dim2 = 3;
% Preallocate
e1 = zeros(1, K);
e2 = zeros(1, K);
tic
% Monte Carlo comparison
for k = 1:K
A = randn(dim1, dim2);
B = randn(dim1, dim2);
[~, ~, e1(k)] = subspace_mapping(A... |
ca769a9f262a5e2304ba2e370353f8e4fafd4cce8e89d621d66f4303c047ec41 | MATLAB | 947 | 21 | function [devianceResiduals,deviance] = getDeviance_null(result)
%function [devianceResiduals,deviance,samples_deviance,samples_devianceResiduals] = getDeviance(result,Nsamples)
% This function calculates the null deviance from the model. Temp function,
% Lior 2018-May-10
%
pPred = result.psiHandle(result.data(:... |
5c21b72edb049ba3d23cbe0ea63aa30377911a34cf7ce19c4196101fbfb3df9f | MATLAB | 948 | 40 | function kern = nufft1_kernel(klist, N, J, K, alpha, beta)
%function kern = nufft1_kernel(klist, N, J, K, alpha, beta)
% compute equivalent interpolation kernel (real part)
% at points in klist
if nargin < 4
help(mfilename)
J = 7; N = 100; K = 2*N;
k = linspace(-J/2-1,J/2+1,201)'; % fine sampling for display
ker ... |
dab894f63d59d4a5b808413e746e872d83c0549f950891ac9202007b0673e717 | MATLAB | 949 | 34 | %% Plot accuracy indication plots
% input: XData, YData, CData: 1*n vecter
% bounds: [lower bound, upper bound] ; can be flexible for 10%
% colorcode: [good;ok;bad] what color to indicate
% varargin: xlabels; ylabels
function [CIndi] = PlotAccu(XData, YData, CData, bounds, colorcode,TitText,varargi... |
ba0348a6f3b8306601f2e7006adeeaebb2208dc0959ebcf591ce72e4f47d9c82 | MATLAB | 952 | 39 | function [radX_c SpikeTimeX_c,first,last] = computeRadFiring(t_ECG,t_SPIKES)
% t_ECG=t_events_plus,
% t_SPIKES,
% ind_SPIKES=1:length(t_SPIKES);
t_CORTOpeak=t_SPIKES';%ECG_RESULTS.t_events; %BELT_Rpeak;
t_LUNGOpeak=t_ECG;%t_maxima(1:end);
%RR interval
rrint= diff(t_CORTOpeak);
tint=t_CORTOpeak(2:end);
tmat_c = {... |
24289390a9f641cb82fb222bdb4d7440b6292293ac44206188b9c37ae71114a8 | MATLAB | 953 | 35 | imagesize = [32 32 3];
batchsize = 10000;
batchnum = 5;
classnum = 10;
kTrainNum = batchsize * batchnum;
kTestnum = batchsize;
TrainX = zeros([imagesize kTrainNum]);
TrainY = zeros(kTrainNum, classnum);
for i = 1 : batchnum
load(['data_batch_' num2str(i) '.mat']);
curdata = double(data)' / 255;
curind = batchsi... |
2b4b7cf87810ebdcbbfb7a6d4a6b4697d8e4b52a51d8ff8d1935bd09c3a471ec | MATLAB | 953 | 26 | function V = gompertz_exp_alpha_beta_ther_gr0(param, DT_invitro, temps, tI, VI, t_start, t_end)
% param = [alpha_0, beta] parameters of Gompertz growth, according to
% dV/dt = (alpha_0-beta*log(V/Vc))*V
% hence alpha_ = relative growth rate at V = 1 cell (volume Vc)
% DTinvitro = doubling time in vitro in hou... |
9813a71e488ae41980c5cfc05edfe5b257ea7f3e356100fa4ef91a01dd1cb33e | MATLAB | 955 | 29 | function mask = XxCalMask(img, ksize, thresh)
% ------------------------------------------------------------------------
% XxCalMask: calculate the foreground mask of img
%
% usage: mask = XxCalMask(img, ksize, thresh)
% where,
% img -- 2D img to calculate foreground
% ksize -- the size of first gauss... |
1d9a004ea1f896fc0f1aeaf6b8b1d14395bc276fc6595315dbaebcfed23152ca | MATLAB | 957 | 39 | DefaultExponent = 3;
DefaultOffset = 1;
Duration = 120;
SampleRate = 250;
WelchWindow = 4;
WelchWindowOverlap = .5;
SmoothSpan = 3;
%% Test_Exponent
Exponents = -5:.3:5;
NewExponents = nan(size(Exponents));
NewOffsets = NewExponents;
for ExpIdx = 1:numel(Exponents)
[Signal, t] = cycy.sim.simulate_aperiodic_eeg(Exp... |
345f77520fafaa9821a11bb9284fdefeb70d22de0cd489aa6a5311231ddf477c | MATLAB | 958 | 37 | function saveFigures(obj, ext)
%SAVEFIGURES Save figures
prefix = sprintf('jrc4_%s_', datestr(now, 'yyyy-mm-dd-HHMM'));
dlgAns = inputdlg('Figure name prefix', 'Save figure set', 1, {prefix});
if isempty(dlgAns)
return;
end
prefix = dlgAns{1};
if obj.hCfg.verbose
fprintf('Sa... |
ecdef96c60da14f6a5ec8840df358e7a3e7fb4909e9664c5e8fa9f7b6b5bdddf | MATLAB | 958 | 21 | cd('I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\effect size\f2\g(latency)')
x = importdata("latenceys.mat")
%%
grpstats(x,"clusters","mean")
grpstats(x,"clusters","median")
x1 = x(find(~(x.clusters == 2)),:)
x1.clusters(x1.clusters == 3) = 2;
x1.clusters(x1.clusters == 4) = 3;
x1 = sortrows(x1,"cluste... |
d0f9f5d319c6a5c6ca52b335344f0abbff00948715251cfa14ddcbe9890b5625 | MATLAB | 959 | 27 | function [XV,YV] = Get_Rect_Vector(O,Angle1,Rect_Width,Rect_Length,Rect_Rotation_Origin)
% 1----------2
% 14 0 |------>
% 4----------3
% O = [x,y] is the the reference point for the rectangle's coordinates (rotation origin).
% Angle1: Orientation of the rectangle (relative to the rotation origin) in degre... |
0d279f27b8470a8e89276621caad57c6bb2398bc471c399c0c56a1dc6c9028e2 | MATLAB | 961 | 40 | function [fName] = chk_N_Analysis(data)
%Check Number of Analysis
%
% [fName] = chk_N_Analysis(data)
%
% Description: This function is a helper to the analyzeFP script. It
% parses a data structure to see how many final_x array of structures
% there are and outputs the next available final_x field name t... |
39daa58f4a71a7d7e353dff4ace1289d1aa1787939bb06cd798e43c6ef8ff02a | MATLAB | 961 | 41 |
clear
p = params_2DAA;
fpath = fullfile(p.processed_data_dir,'allData.mat');
load(fpath,'evs','tis','bvs','traces')
%% plot activity traces for multiple sessions
cellIdx = 1:10;
for sub = 3%1:p.nSubjects
len = 400;
start = 2001;
stop = start+len-1;
sep = 100;
figure('Position',[200 200 700 300... |
bfb8a712554878227906504046ddc0fbacef6269e4c0241634f06b001b2829fc | MATLAB | 962 | 30 | % Use Only if there is a Raster Plotted Already
% Input:
% THR: Cell of Threshold(s) by Condition
% Cell of Raster Lengths (frames) by Condition
% Sampling Frequency (Hz)
% Outpu:
% Segmented line of THreshold in subplot(1,3,3)
function plot_CAG_threshold(THR,LENGHTRASTER,fs)
[~,NC]=size(LENGHTRASTER);
ax=subplot... |
c66073984fa6ecae5153237edd207f4b91fd4a72b47985d91bf64d624cce2c54 | MATLAB | 962 | 27 | %Recursive Zonal Equal Area Sphere Partitioning: Properties of EQ partitions
%
% Recursive Zonal Equal Area (EQ) Sphere Partitioning Toolbox.
% Release 1.10 2005-06-01
%
%Functions by category
%=====================
%
% Diameter
% eq_diam_bound Maximum per-region diameter bound of EQ partition
% eq_vertex_di... |
eaa587399554e73b4f269102e162afc1de2f947a154840f9bd3d75474be1474e | MATLAB | 962 | 27 | function pred = classify_norm_mat(layers, weights, test_x)
layers{1} = cnnsetup(layers{1}, 0);
layers{1} = initact(layers{1}, test_x);
layers{2} = cnnsetup(layers{2}, 0);
layers{2} = setweights(layers{2}, weights{2});
assert(size(test_x, 1) == layers{1}{1}.mapsize(1) && ...
size(test_x, 2) == layers{1}{1}.ma... |
56df5b097988f3268dbfa324b930da324c9e28bb3d80a2943e1f8c08e3070935 | MATLAB | 966 | 30 | function [Blob_Skel,xe,ye] = Skeleton_Blob(Blob_Image)
Min_Branch_Length = 300;
Blob_Skel = bwskel(Blob_Image,'MinBranchLength',Min_Branch_Length);
E = bwmorph(Blob_Skel,'endpoints');
[ye,xe] = find(E);
if(length(xe) > 2) % If more than two end-points.
Pb = find(bwmorph(Blob_Skel,'branchpoints')); % Find ... |
625d005254f204360ed2391736fdced723a3e814f40071a2d8a47a25cebbe0a0 | MATLAB | 966 | 25 | function auto_etco2(app)
%AUTO_ETCO2 Summary of this function goes here
% Detailed explanation goes here
if ~isempty(find(contains(vertcat(app.data.name),'CO2 mmHg')))
if isempty(find(contains(vertcat(app.data.name),'etCO2')))
idx = find(contains(vertcat(app.data.name),'CO2 mmHg'));
[data,ts,~, ~]... |
c81b38fb667c4ba38e39b253cfae79383e82757b421ca9401d96ccc4634c041d | MATLAB | 966 | 22 | function [New_Index,Raster_Condition,RASTER_WHOLE_Clean,XY_clean]=ActivityMatrixSorted(XY)
% Call global
global RASTER;
global Experiment;
global fs;
global Names_Conditions;
% make it nested function--->
% Sort by Activation in each Condition:
[New_Index,Raster_Condition,RASTER_WHOLE]=SortNeuronsCondition(RASTER,numel... |
f8d5802dc86b45fcfb68d71d6dc4d7347f89d66870dde9fbcc4f3fd91069a8c8 | MATLAB | 969 | 26 | function V = gompertz_exp_alpha0_beta_ther_gr0(param, DT_invitro, temps, Vc, tI, VI, t_start, t_end)
% param = [alpha_0, beta] parameters of Gompertz growth, according to
% dV/dt = (alpha_0-beta*log(V/Vc))*V
% hence alpha_ = relative growth rate at V = 1 cell (volume Vc)
% DTinvitro = doubling time in vitro in... |
49708c4862d7228058cce75518bda0efa77f3f30df95a2062f7d6e24bd471abd | MATLAB | 970 | 32 | clearvars
close all
addpath(genpath('/storage/stella/MATLAB_toolboxes/'));
addpath('/storage/stella/Analysis/matlab_scripts/');
%% intersection between the two WM atlases (done with FLIRT, good in the anterior part; done with FNIRT, good in the posterior part)
FA = load_untouch_nii('dti_FA.nii.gz');
FA = double(FA.img... |
8577f9af211461b71b9cbdb7f9f00ef257658b6ce9648edde30e506b5a101e14 | MATLAB | 970 | 27 | function [d,p] = getpaths(map)
%% Calculate the shortest paths between any pair of nodes
% This function calculates the K shortest paths from any node i to node j
% in the network. The length of a path is defined by the sum of the inverse
% projection of the nodes along the path. The shortest path (i,j) is the
% p... |
a3000c55a8482925ee5fd65866689ce7f9b5700071da7737338ec0493fed0307 | MATLAB | 970 | 37 | function eeg_data(Data, SampleRate, YGap, DisplayName, Color, LineWidth)
arguments
Data
SampleRate
YGap = 20;
DisplayName = '';
Color = [.3 .3 .3];
LineWidth = 0.5;
end
% Data is ch x time matrix
% YGap is how much to space the channels. Default is 20.
[ChannelCount, TimepointCount] = size(Data... |
ad791e20182fe59a6750956ad38a4ec00601f6c143608eeea1a12b39325a4bd2 | MATLAB | 971 | 37 | %% get
clc, clear
[file, path] = uigetfile('*.mat', 'MultiSelect','on');
datafile = fullfile(path, file);
%%
for i = 8:length(datafile)
load(datafile{i})
cell_names = fieldnames(all_data);
new_path = all_data.(cell_names{1}).source_dir;
% find the relevant folder
cd(new_path)
if ~... |
e98c9e2fe2cc880955f9e416b35b5abe6a481c3c62dae433650870f34d06b477 | MATLAB | 972 | 46 | function[]=textBox2()
txtf2 = figure ('menu','none',...
'Position', [1050 700 420 150],...
'visible','on',...
'Resize', 'on');
set(txtf2,'name','Are you finished?','numbertitle','off')
AnalyzeBtn3=uicontrol('Style','pushbutton','String','Go back',...
'Position', [30 40 160 60],...
'BackgroundCo... |
f27397ae18a310fd19328b9b7ce9cb8a9b4f592341252fe80cfae2b17fac19fa | MATLAB | 972 | 48 | function M = xfm_read(fname)
% M = xfm_read(fname)
%
% xfm_read.m
%
% Original Author: Bruce Fischl
%
% Copyright © 2011 The General Hospital Corporation (Boston, MA) "MGH"
%
% Terms and conditions for use, reproduction, distribution and contribution
% are found in the 'FreeSurfer Software License Agreement' containe... |
f6f74531ca00001f00e69e0bcec30f0fd04f4ce3727c46786f12e5c6d6d9356d | MATLAB | 974 | 20 | clc;
clear;
load E:\SemanticSegmentation_Scale\CPL\GTruth_Revolve_1433.mat;
load E:\SemanticSegmentation_Scale\Results\MuliImageSS_ResNet50_SeriesClass_ResAttention\trainedNet_resnet50_5.mat;
imageDir = 'E:\SemanticSegmentation_Scale\NET_Muli_CPL_XPL_All\Revolve_Imds_Test\';
imds = imageDatastore(imageDir,...
... |
e76322c394e7aed7c68a0c0dd70996cf3eedbc62995f9c44e5e6bc6387035e6d | MATLAB | 975 | 29 | function [binary w]= threshold_abs(w, thr)
% Absolute thresholding
%
% This function thresholds the connectivity matrix by absolute weight
% magnitude. All weights below the given threshold, and all weights
% on the main diagonal (self-self connections) are set to 0.
%
%INPUTS: W = weighted (direc... |
61def39f1f47291a7dfe6ffc9a175158315751dc6b85a637e831d5687318ca70 | MATLAB | 976 | 41 | function vals = meanSubtract(vals, dim, hFun)
%MEANSUBTRACT Subtract mean (or other statistic) from vals
if nargin < 2
dim = 1;
end
if nargin < 3
hFun = @mean;
end
if ~reallyisa(vals, 'single') && ~reallyisa(vals, 'double')
vals = single(vals);
end
% have to res... |
e57cd5ddb6f354ef86674d274ac90835ba6dbbe56590a5b1090ec16eefd4991b | MATLAB | 976 | 31 | function drawTriad( vecPos, vecOrient, lengthTriad )
triadRot = calcBeamRotation( vecOrient, eye(3) ) * lengthTriad;
plot3( vecPos(1), vecPos(2), vecPos(3), '.' );
p1 = [ vecPos ];
p2 = [ vecPos + triadRot(:,1) ];
plot3( [ p1(1) p2(1) ],[ p1(2) p2(2) ], [ p1(3) p2(3) ], 'r', 'linew... |
7b6eee890b8631907807c12a509e3822595945de04fe913267139297ea272220 | MATLAB | 977 | 34 | function [U, S, V] = generalized_svd(A, X, Y)
%
% [U, S, V] = generalized_svd(A, X, Y)
% Generalized Singular Value Decomposition
%
% input:
% A: recrangular matrix (m x n)
% X: square positive definite matrix (m x m); row-wise constraints on A
% Y: square positive definite matrix (n x n); column-wise constraints on A
... |
ee49cbd5592e097e7bf3d640053b477aebd919f052aa4027d2572821f41a3073 | MATLAB | 978 | 24 | % This file is part of NYU_EffiModel, the code
% accompanying the paper "Efficient models of
% cortical activity via local dynamic equilibria
% and coarse-grained interactions," to
% submitted to PNAS.
%
% Copyright (C) 2023 by Zhuo-Cheng Xiao <zx555@nyu.edu>
%
% This program is free software; you can redistribute ... |
280f1d73fa24defa109b159549dfab5df5fd87456c27343a287c099261a712e2 | MATLAB | 979 | 34 | % RUN AFTER >>Ensemble_Sorting
XY=XY_selectedClean(Index_Ensemble,:);
C=fNet.Colors;
ColorsInd=C(Index_Ensemble,:)./255;
for i=1:size(ColorsInd,1)
actcl=ColorsInd(i,:);
axx=find(ismember(ColorState,actcl,'rows'));
if ~isempty(axx)
Iensamble(i)=axx;
else
Iensamble(i)=0;
end
end
fig... |
6e6779afda7a2d27fa7d4e4efa84cb6a8feb45d639b26884da565a86d7ca9d05 | MATLAB | 979 | 34 | function area = area_of_ideal_region(dim,N)
%AREA_OF_IDEAL_REGION Area of one region of an EQ partition
%
%Syntax
% area = area_of_ideal_region(dim,N);
%
%Description
% AREA = AREA_OF_IDEAL_REGION(dim,N) sets AREA to be the area of one of N equal
% area regions on S^dim, that is 1/N times AREA_OF_SPHERE(dim).
%
% The a... |
71b63f1622d9ae5627940cc2ac844725db7480062fb3eef2e66ff6f3aea35a17 | MATLAB | 979 | 30 | function []=mnl_TracesChannelMIPs_TracesAndSomas_NormToMaxValues(dim,data,BkgMean,MaxValues)
%function that creates normalised MIPs for each channel based on the values
%from the trace extraction
% Inputs
% dim - dimensions of the original image [x y c z]
% data - the image matrix
% BkgMean - the background values t... |
75a065e80e79d4b8fe8e77271a877be771cbae3c81859489cbe75b497e3d0f99 | MATLAB | 980 | 36 | function [tx,g]=rst_tsample(x,percent)
% function [tx]=tsample(x,percent)
% Returns the trimmed sample of x.
% x must be a vector
% percent must be a number between 0 and 100
% The trimmed sample is calculated by dropping the lower and upper g values from
% x, where g=floor((percent/100)*length(x)). If x is empty, the... |
acc667cb206b633eaaf437e42d9f7abdbab967d16ce859e5adedda31fbc02fc5 | MATLAB | 980 | 27 | % load a CTparams file
[file, path] = uigetfile('CTparameters.mat');
datafile = fullfile(path, file);
load(datafile)
%%
for i = 1:length(CTparameters.id)
figure
title(CTparameters.id(i))
subtitle({'half valley duration ' CTparameters.half_valley_duration(i) ...
'half peak: ' CTparameters... |
ad2005f480e30cf6ac7d721b93635e283cff48a4cd9dea03c0ff9017fe736696 | MATLAB | 980 | 37 | function[]=textBox1(putativeHits)
txtf1 = figure ('menu','none',...
'Position', [850 500 450 350],...
'visible','on',...
'Resize', 'off');
set(txtf1,'name','Instructions','numbertitle','off')
txtFt=uicontrol('Style','text',...
'Position',[50,240,355,55],...
'FontSize', 20,...
'String',['There... |
5bcda4ad9182e49b4132ede9ce9947667ddebaffc4f3e1b476e8b760c711c084 | MATLAB | 981 | 29 | %%%plot della conta dei neuroni nelle immagini di una stessa slices (in
%%%ordine temporale
prompt1 = {'Enter no. colture'};
dlg_title = 'No. colture'; %see help for informations
num_lines = 1;
answer = inputdlg(prompt1, dlg_title, num_lines); %coltura di cui si vuol avere il plot
answer1 = num2str(cell2m... |
69f187b01ddeae069d54999626a5667de040111f5f608401a8ded6d5981965f1 | MATLAB | 981 | 25 | function TrackingData = even_TData(TrackingData)
% Ensures that TrackingData and neural time are of the same length
% Input:
% TrackingData - Structure containing tracking data
% Output:
% TrackingData - Modified tracking data with equal length
% Check if the length of TrackingDat... |
588ba5c94f7c7a1f003725b316d8d68ed327c6496c9b88bdc3c4c6b935438a29 | MATLAB | 982 | 27 | function [prVecs1, prVecs2, prVecs3] = getPVSpikes(sampledWindows)
%GETPVSPIKES Get first 3 principal vectors for sampledWindows on each site
% input: sampledWindows is nSamples x nSpikes x nSites
% output: prVecs{1,2,3} is nSamples x nSites
% mrPv_global = get_(S0, 'mrPv_global');
% if ~isempt... |
bf999947dc4ca11108f200fb8bcee72de36baa637e381eef360aa038a5142be0 | MATLAB | 983 | 45 | % A naive implementation of Householder's 1958 algorithm for nulling
% non-diagonal matrix entries (row-wise or column-wise).
% Ref: Householder, Alston S. "Unitary triangularization of a nonsymmetric
% matrix." Journal of the ACM (JACM) 5.4 (1958): 339-342.
%
% Reza Sameni 3/1/2019
% email: reza.sameni@gmail.com
clc... |
2180ff24331ff5d2f119ec9fca29b5f81399478e186fffc849c16aac014ed20d | MATLAB | 985 | 30 | function n_regions = round_to_naturals(N,r_regions)
%ROUND_TO_NATURALS Round off a given list of numbers of regions
%
% Given N and r_regions, determine n_regions,
% a list of the natural number of regions in each collar and the polar caps.
% This list is as close as possible to r_regions, using rounding.
% The number ... |
cd65edce9c307683160fd0c2aaefacb66dc1fd668418deebe270c8e5364ab002 | MATLAB | 986 | 32 | function out = spmup_smooth_boostedfiles(P,K)
% smooth the data in P with a Gaussian kernel of FHWM [x y z]
% and masks out using the mask located in folder above your boosted files
%
% FORMAT: out = spmup_smooth_boostedfiles(P,[x y z]);
%
% INPUT: P names of files to be smmothed
% x y z the FWHM of the Gaussia... |
d7e99e54ad6432434f3b2e3cd6a49fc946fe9ff9d392827b9a0e9a219eb002ba | MATLAB | 987 | 32 | % Function to detect empty tables and empty columns of netowrok fetures
%
%
function [ExsitFeature,EXPLIST]=emptycolnettables(GEPHIDATA,Names_Conditions,ActualFeature)
% Init Output
[NE,NC]=size(GEPHIDATA); % Number of Experiments & Conditions
ExsitFeature=zeros(NE,NC);
EXPLIST=cell(NE,NC);
for e=1:NE
for c=1:NC
... |
1848a95f84d615d86965b4e7c4c75168dafcefbf15b4d4e833b721132b497fc7 | MATLAB | 990 | 30 | function [Starts, Ends] = data2windows(Array, Threshold)
% Takes an array of numbers. If the data is not 1s and 0s, then it uses the
% threshold to convert into windows above the threshold. If no threshold is
% provided, then it will take all positive values as above threshold. If
% you want everything below a threshol... |
4375876e0fd98694e18786b357f1fca7734fee0bba88e560ab00f3dea7e95c26 | MATLAB | 990 | 30 | function ind = ChannelIndex15(x, ff, fs, wlen, guard, th)
% Channel selection based on periodicity of local energies
%
% Reza Sameni
% February 2019
N = size(x,1);
T = size(x,2);
nfft = T;
ind = zeros(N, 1);
for l = 1 : N
envelope = sqrt(filtfilt(ones(1, wlen), wlen, x(l,:).^2));
% envelope_pulse = ze... |
7394eb3948697dfd44e988d572253dfdabd1a1d24d1fe2e22272949081491b82 | MATLAB | 991 | 31 | for n =1:3
cells = fieldnames(all_data);
for j = 1:length(cells)
current_cell = all_data.(cells{j});
x = current_cell.x;
y = current_cell.new_fit(n).y;
curve1 = current_cell.new_fit(n).original_curve;
gof1 = current_cell.new_fit(n).original_gof;
original_rmse = current_cell.new_fit(n).or... |
a8a298885d3333ef2c8399f17a25487289613c53f4b8f7568802edc951c49fe0 | MATLAB | 992 | 21 | function [D,Fin] = Scale_Midline_Distance_To_Local_Radii(D0,R3,R4)
% This function rescales the midline distances to local PVD raddi.
% The radii are given as either the dorsal or ventral radii, depending on the side of the corresponding coordinate.
F3 = find(abs(D0) <= R3); % Find points that are between the mi... |
733f09511cb02b200ed4c6cd71c6f0dc3b2b1072bb69d188339bab30e0f91ace | MATLAB | 993 | 34 | function X = prewhiten(X)
% Compute and apply the ZCA mapping
X = X - repmat(mean(X, 1), [size(X, 1) 1]);
W = inv(sqrtm(cov(X)));
X = X * W;
% X = N-by-P matrix for N observations and P predictors
% Z = N-by-P prewhitened matrix
%
% % 1. Size of X.
% [N,P] = size(X);
% asser... |
8f3c5e80b79326ae612b6e8d9b45a48b0ba169a515291f44a87d06ff87079c51 | MATLAB | 993 | 48 | % For a pixel vector, show how the map is
function [] = ShowField(Vec, Range, XPix, YPix, varargin)
if size(Vec,2) == 1
Map = reshape(Vec(Range),YPix,XPix);
imagesc(Map)
colormap jet
set(gca,'YDir','normal')
colorbar
elseif size(Vec,2) == 3
Map = zeros(YPix,XPix,3);
for LgnInd = 1:3
... |
ed132938eba8467937ec93ff01ae982a0c568bf696e85326a9fa5d4039cd0b7f | MATLAB | 993 | 33 | function [diss,sc]=computedissandsc(thedata1,thedata2)
% computediss: computes dissimilarity and spatial correlation between 2
% data sets
%
% inputs: data as 2-D numeric arrays where dimension 1 contains the
% timeframes, dimension 2 contains the channels
%
% outputs: diss and sc as 1-D numeric arrays that contain the... |
13a024a35f510099c4ce0438a00bd88bc5afb99475957dd2897e0717d5d5a920 | MATLAB | 994 | 37 | function [h1, h2] = plot_dir (vX, vY,varargin)
%function [h1, h2] = plot_dir (vX, vY)
%Plotting x-y variables with direction indicating vector to the next element.
%Example
% vX = linspace(0,2*pi, 10)';
% vY = sin (vX);
% plot_dir(vX, vY);
%% NOTE!! vX, vY has to be column vectors!
if length(varargin)<1
arrC ... |
d2077e8be48e13d15ac675c8721d9c43042e0299da601f80c8e06ada85b9b03b | MATLAB | 994 | 36 | function annotateUnit(obj, note, confirm)
%ANNOTATEUNIT Add a note to a cluster
if obj.isWorking
jrclust.utils.qMsgBox('An operation is in progress.');
return;
end
iCluster = obj.selected(1);
% set equal to another cluster?
if strcmp(note, '=') && numel(obj.selected) == 2
... |
352562a384fc138252bef9cf006c6edfd658405eef25e1964048c30a10eab9d5 | MATLAB | 995 | 31 | function g = GausVal(t, p)
% Compute the Gaussian function values.
%
% Inputs:
% t: Time samples.
% p: Gaussian parameters [amplitude, width, center]. Can be a matrix where each
% column corresponds to a set of parameters.
%
% Output:
% g: Values of the Gaussian function evaluated at time samples 't'.
%
%... |
71fde16e5aa216e4eb3a6ba1b9adb7ebbeaf9c1366573021e4c046a6c26e071f | MATLAB | 997 | 38 | function supp_fig4_dos(folder, save)
%% Supplemental figure 4: DOS for unfiltered maps (left side)
%% Load and normalize
if nargin == 0
folder = 'All';
end
load(fullfile(folder, 'data'), 'dos', 'mode');
f = get_save_figure();
mindos = 0;
maxdos = 0;
for m = 1:3
% Calculate maximum DOS in the 3 displayed matr... |
6f87c94dd02f65ce2ae2c5f3c72ee32b8ee87146fb2230b1b82c388393d5f322 | MATLAB | 998 | 39 | %%
fnames = dir(['G:\E7_2DAA\**/*behavior1.avi']);
fnames([27,30]) = []; % exclude incomplete sessions for m1 and m4
for i = 1:length(fnames)
fpath = [fnames(i).folder '\' fnames(i).name];
fileinfo = aviinfo(fpath);
nFrames_b(i) = fileinfo.NumFrames;
end
%%
fnames = dir(['G:\E7_miniscope_concat\**/*.h5... |
49898aa6e41bc65575fd2896de1767c40d04dd0a9ce98dd5e21e235e1b922035 | MATLAB | 999 | 30 | function Z = ECGModelFrequencyBased(X,time)
%
% The Fourier transform of ECG generated by sum of Gaussians model.
%
% Open Source ECG Toolbox, version 3.14, February 2019
% Released under the GNU General Public License
% Copyright (C) 2019 Reza Sameni
% reza.sameni@gmail.com
% This program is free software; you can r... |
f0488644ddfe3bed6d2f75a1e272c042e65333f8d239369a26606fc0845f3d94 | MATLAB | 1,000 | 29 | function draw_histograms(handles, c2plot,USER_DATA)
%This function plot the histogram of the cluster number 'c2plot'
%handles should have the axes of that histogram. USER_DATA is the USER_DATA
%of wave_clus. draw_histograms(handles, 0:min(nclusters,3),USER_DATA);
spk_times = USER_DATA{3};
classes = USER_DATA{6};
par ... |
7f0041c439485529b6672d489955b790490af5ec772a7b9e2e3734bbbbe812e7 | MATLAB | 1,001 | 38 | % Function that get Lines for the given frames
% It Unifies with Lines the points of a given signal x
function xdeline=getdeline(delineframes,x)
%% Setup ***************************************
xdeline=[];
PointA=1;
xlinsegment=[];
% Make sure there are not smaller segments than 3 samples
delineframes=delineframes(deli... |
4d690beec8448fd2de6ef20afc2ac1d7c19be555f8f792bd060d04eb2a7edd97 | MATLAB | 1,002 | 27 | % Copyright (c) 2008-2026 the MRtrix3 contributors.
%
% This Source Code Form is subject to the terms of the Mozilla Public
% License, v. 2.0. If a copy of the MPL was not distributed with this
% file, You can obtain one at http://mozilla.org/MPL/2.0/.
%
% Covered Software is provided under this License on an "as is"
%... |
89a2e7c5305d1f756c76b50ad3f8a85c771429dfbbe14646176e1d5ffc044f6d | MATLAB | 1,002 | 39 | function area = area_of_sphere(dim)
%AREA_OF_SPHERE Area of sphere
%
%Syntax
% area = area_of_sphere(dim);
%
%Description
% AREA = AREA_OF_SPHERE(dim) sets AREA to be the area of the sphere S^dim,
%
% The argument dim must be a positive integer or an array of positive integers.
% The result AREA will be an array of the... |
4a960b3dd254eb01771beadffa25075844f19e3b730d9a109ea1d22b3f56ffad | MATLAB | 1,003 | 33 | clear
clc
%%
%save only Intensity encoding + IR
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
%%
window_names = {'ON', 'Sustanied', 'OFF'};
% for ... |
ab0cae675ce463ba87c58785ace2659072323d40dc9d4abf0b8b32953c0649ea | MATLAB | 1,005 | 38 | function [curv] = write_curv(fname, curv, fnum)
% [curv] = write_curv(fname, curv, fnum)
%
% writes a curvature vector into a binary file
% fname - name of file to write to
% curv - vector of curvatures
% fnum - # of faces in surface.
%
%
% write_curv.m
%
% Original Author: Bruce Fischl
%
% Copyright © 201... |
cf41d217389f43fd4768f63133081e6780a46ddd6ee9b346b3e6f4e105a3e0f8 | MATLAB | 1,005 | 30 | function [SIGNALS,r,H,W,RADroi]=FluorescenceSignals(NC,NumberofVideos,FN,PathName,XY,r)
RADroi={};
%% Load Data *********************************************************
% For each CONDITION and VIDEO
for i=1:NC
for j=1:str2double(NumberofVideos{i})
FileName=FN{j,i};
[mov]=Video_Load(FileName,PathNa... |
b6cb986ebbb808168449ddda068a4d4b79fcd5a14920d29acb104977797ab35b | MATLAB | 1,006 | 38 | function volume = volume_of_ball(dim)
%VOLUME_OF_BALL Volume of the unit ball
%
%Syntax
% volume = volume_of_ball(dim);
%
%Description
% VOLUME = VOLUME_OF_BALL(dim) sets VOLUME to be the volume of the unit ball
% B^dim in R^dim which is enclosed by the sphere S^(dim-1).
%
% The argument dim must be a positive integer ... |
aca0bf60f6084f8ead02df7a7e5ae6ad91359dd0dd8e3947c7154a57bda4a9eb | MATLAB | 1,008 | 56 | % test baseline wander removal by freq. domain filtering
% Reza Sameni, 2018
%
clear;
close all;
load patient165_s0322lre;
%load LOUETTE_07-Oct-2005_40s.txt -mat;data = LOUETTE_40s;clear LOUETTE_40s
fs = 1000;
%d = data(:,4:8);
% d = data(:,2:end);
d = val';
N = length(d);
S = fft(d,N,1);
SS = 10*log10(S.^2);
f = [0... |
662fc2c456952920e868d82bcc56cd2a2dedefc78ba8b94fbea246299eae9cef | MATLAB | 1,009 | 31 | function projection = forwardProjectGPU(psf,Xguess)
%% Forward projection from 3D volume to 2D projetion (using CPU)
%% Input:
% @psf: the phase space PSF
% @Xguess: the projection obtained from "forward project"
%% Output:
% projection: estimate volume
%
% [1] JIAMIN WU, ZHI LU and DONG JIANG etc,
% Iter... |
8bb6a1cee129721bed27377624cd4ef52751e69b62a625a3f3d2a51e485b0834 | MATLAB | 1,009 | 49 | function co = remove_big_correlation(c1,seuil)
if ~exist('seuil')
seuil=-0.5;
end
if iscell(c1)
for k=1:length(c1)
co{k} = remove_big_correlation(c1{k},seuil)
end
return
end
co=c1;
for npool = 1:length(c1)
cormat = c1(npool).cormat;
met = c1(npool).met;
for nbsuj=1:leng... |
a4c9cc981d282851d52f72f562f182612c24e9c8cd864868a268703e3d6e8088 | MATLAB | 1,009 | 30 | function movie = prepareBatch(p,movPath,regPath,extractionFlag)
% extractionFlag should be 1 when using this function for singal extraction
% extractionFlag should be 0 when using this function for annotation or
% applying filter to full movies
% load movie
if p.PCAICA.approximateExtraction.flag &&... |
0367bbfb9ac7a8edb195618df47b3e5dc16a925448a663dda94fbbcf73cc37a6 | MATLAB | 1,010 | 25 | function [spikeSites2, spikeSites3] = findSecondaryPeaks(obj, spikeWindows, spikeSites)
%FINDSECONDARYPEAKS Find secondary peaks
% spikeWindows: nSamples x nSites x nSpikes
evtNeighbors = 2:obj.hCfg.nSitesEvt; % sites within merge radius, excluding ref sites
siteNeighbors2 = obj.hCfg.siteNeighbors(evt... |
483f28ea3a2b48526df410b38d4dd93a631984f973084d8e29c33a09315951ea | MATLAB | 1,011 | 28 | function [multiBounds, multiRange, multiEdges] = sampleSkip(windowBounds, nSamplesTotal, nTimeTraces)
if nTimeTraces == 1 || isempty(nTimeTraces)
multiBounds = {windowBounds};
multiRange = windowBounds(1):windowBounds(end);
multiEdges = [];
return;
end
nSkip = floor(nSamples... |
aa17fede29bdc4a44116895c3b184e787eed879c899878a6e40da106d60f535d | MATLAB | 1,011 | 25 | function success = revert(obj, revertTo)
%REVERT Summary of this function goes here
success = revert@jrclust.interfaces.Clustering(obj, revertTo);
if success
obj.templatesByCluster = arrayfun(@(iC) unique(obj.spikeTemplates(obj.spikesByCluster{iC})), ...
1:obj.nClu... |
b309e94106bb69f04cc855f37607c074cb5f4db8de9bfc4fa7f65031ac930593 | MATLAB | 1,011 | 39 | function updateLog(obj, logTag, message, start, finish)
%UPDATELOG Save and optionally output a message
if nargin < 4
start = 0;
end
if nargin < 5
finish = 0;
end
if obj.hasLog(logTag)
logEntry = obj.logEntries(logTag);
logEntry.lastUpdate = now();
else
... |
d3e30688709be7944e5b3c5757a82ef03628cc25bdaf410145dfdf8ab8b3d7dc | MATLAB | 1,012 | 27 | function plotFullSweeps(data,incldVel)
if isfield(data,'final')
mouseName = data.mouse;
expDate = data.date;
nSweeps = size(data.final,2);
left_color = [0 0.7 0];
right_color = [0 0 0];
for n = 1:nSweeps
allFPnames = data.final(n).FPnames;
nFP = data.final(n).nFPchan;
... |
4122b451f4199fd142e2121196b11fa0e2823148a392c6c720dd1ba30ad0aa7a | MATLAB | 1,013 | 16 | function Negative_Positive20200302
global RtouchSpikeOffUnit LtNegativeSpikeOffKaisuu RtNegativeSpikeOffKaisuu RtPositiveSpikeOffKaisuu LtPositiveSpikeOffKaisuu...
RtouchSpikeOnUnit LtouchSpikeOnUnit LtouchSpikeOffUnit LtNegativeSpikeOffKaisuu RtNegativeSpikeOffKaisuu ...
RtPositiveSpikeOffKaisuu LtPosit... |
6b92e5db7eeebdc42f9d022840f0519fde557222f010e44249415222b9edf9dc | MATLAB | 1,013 | 26 | function Save_Longitudinal_Axis_Demos
Dir1 = uigetdir; % Let the user choose a directory.
Files_List = List_All_Files(Dir1,'mat');
% SaveDir = 'D:\Omer\Dropbox (Technion)\Neuronalizer\PVD Images\Sharon\DEG_for_Menorah_analyser_Filtered_Format_Names\Results_Demos\Longitudinal_Axis';
SaveDir = 'D:\Omer\Dropbox (T... |
98869b8b045e884ebc99f73c920a7b7d654709a9b43c0cb2354d252fe83f44a0 | MATLAB | 1,013 | 33 | function data = XxReadTiffLargerThan4GB(TiffPath, DataType)
pic_info = imfinfo(TiffPath,'tif');
pic_info = pic_info(1);
img_desc = pic_info.ImageDescription;
img_amount = txt_find_value(img_desc,{'images=','\n'},1);
slcies_amount = txt_find_value(img_desc,{'slices=','\n'},1);
frames_amount = txt_find_value(img_desc... |
80e5843015ccec56134eb86554bc7f79189669dd8690a3e51af77b33a0e27de1 | MATLAB | 1,014 | 30 | function [spikes1] = int_spikes(spikes,par)
%Interpolates with cubic splines to improve alignment.
w_pre = par.w_pre;
w_post = par.w_post;
ls = w_pre + w_post;
detect = par.detection;
int_factor = par.int_factor;
nspk = size(spikes,1);
extra = (size(spikes,2)-ls)/2;
s = 1:size(spikes,2);
ints = 1/int_factor:1/int_fac... |
391bf45ddc093c119e93b48ccd66537226f7273ba31bd01cda8f3b2fb0b84889 | MATLAB | 1,015 | 26 | %% Example 2: Extract single-trial neural trajectories from Raw Spike Trains using DimReduce
% Perform dimensionality reduction with DimReduce on raw spike trains
% and automatically visualize the extracted single-trial neural
% trajectories in DataHigh. The data has 56 trials for two reach
% directions. Data i... |
d5c49cbbea1567e4406a52237fad7d435322439a10b20ebfa568f5e329e56308 | MATLAB | 1,015 | 20 | function [P] = get_P_from_prediction_ranks(prediction,pidx);
% GET_P_FROM_PREDICTION_RANKS Significance levels of interactions according to ranks.
% P = GET_P_FROM_PREDICTION_RANKS(PREDICTION,PIDX) for a vector of ranks PIDX and interactions PREDICTION (#interactions-by-3)
% with rows [TF_INDEX, NTF_INDEX, PVA... |
d9c27bced03ab03e08fd59ce270f66574bbbd3651c4374c48adf8e52ab5d89e8 | MATLAB | 1,015 | 24 | function V = GompExp_ther(param, time, t_start, DT_invitro, k_e, Ci, Vc, Vi)
% param: alpha0, beta, k
alpha0 = param(1); % relative growth rate at size V0 = 1 cell
beta = param(2);
k = param(3);
DT_invitro = DT_invitro/24; % conversion in days
lambda = log(2)/DT_invitro;
time_eg = log((Vc/Vi)*exp((alpha0... |
e5ceb41a31979839817744585dd3d6ae54d6a4bbef1dcad5b172051597aeaeb5 | MATLAB | 1,018 | 29 | function success = commit(obj, spikeClusters, metadata, msg)
%COMMIT Commit a modification of clustering to history log
success = commit@jrclust.interfaces.Clustering(obj, spikeClusters, metadata, msg);
if success && isfield(metadata, 'unitCount') && any(isnan(metadata.unitCount))
flagged = find(is... |
f9728777ed6f7b3874f9e8bc31c8486f79e9dcd069b6eccad835b35c221c68ea | MATLAB | 1,020 | 31 | % Function to Retrieve Signals From Selected Frames of the Experiment
% Input
% Onsets: Cell of Sample Onsets per Condition
% R_Condition: Selected Raster per Condition (cell)
% X: Original Signals (cell)
% XY: Original Set of Coordinates (Matrix)
% XY_selected: Selected... |
74e97912b4205b258b602ef1517ad847e8afdc9e902936270d3ce24d48e91e72 | MATLAB | 1,021 | 33 | function [] = visualizeFullTS_mandino(CBVtime_aligned, ROIname, resultpath_madino, color)
% This program is intended to visualize full time series from Mandino et
% al., 2022
%
%
%
% by Hiro Taiyo Hamada, Araya Inc.
color = [0.3, 0, 0.3];
nROI = length(ROIname);
% calculate the pvalues
for iroi = 1:nROI,
% ... |
c8fe9a6315cc52ff1202cf8dcf9f1b6615ea0ccc85b7ae2568074321e4e90db4 | MATLAB | 1,021 | 41 | function [x_sg1]= savgol(x1,width,order,deriv)
% Savitsky-Golay smoothing and differentiation
%
% [x_sg1]= savgol(x,width,order,deriv)
%
% input:
% x (samples x variables) data to preprocess
% width (1 x 1) number of points (optional, default=15)
% order (1 x 1) polynomial order (optional, default=2... |
1f6e4f2edf57814449dd11f1adb990557270c13e8d610098ffa58eb1aceea3bc | MATLAB | 1,022 | 35 | function [BkgVx]=mnl_SubSampleBkgFromMask(nBkg,dim,AllVx)
%Function to extract a set number(nBkg) of values that are not in the mask
%Inputs
%nBkg - The number of background voxels that you want
%dim - The dimensions of the image
%marked as 0
%AllVx - The list of voxels that are 1 in the BW
%Outputs
% BkgVx - The [x,y,... |
b25523d28c461f49dc44cf61d8a9905cb4854e516f2a44664ee0b20c0b07b664 | MATLAB | 1,022 | 32 | %Shinjini Kundu (c) 2014
%Computes Cohen's Kappa for contingency tables
function [ kappas] = CohensKappa(cms)
%The function computes Cohen's Kappa, a measure of interrater agreement
%(classifier and gold standard). Because accuracy does not take into account
%the fact that correct classification could be a result of ... |
fb4aaeef99a81adbcc3366ed4d317e24c4f3ef1818d4a1cb5f5a72a84dff85c1 | MATLAB | 1,023 | 26 | %% change cells with eria
[file, path] = uigetfile('*.csv');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
mkdir('arias')
datafile = fullfile(path, file); %save path
T = readtable(datafile);
cluster_num = length(unique(T.cluster));
[positions, ~ ,idx] =... |
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