sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
116ee8d526b7b0cd6214712057ce80d41c102c4088f3031861e66e52ef7d0590 | MATLAB | 5,805 | 147 | function plot_PT_met_model_ind(...
AX,...
temps_PT,...
temps_met,...
PT_size,...
met_burden,...
resection_time,...
min_size,...
max_size,...
max_time,...
flag_plot_met_distrib,...
t_ther,...
file)
font = 18;
if ~exist('max_size', 'var')
max_size = 1e10;
end
colors... |
b7a6811d903f1f77da3c9e572dcdf0d9c3851b2fa5d41c81fc7e6475e89f1957 | MATLAB | 5,806 | 190 | % Sample fetal-maternal ECG generator
clc
clear;
close all;
rand('seed',0);
randn('seed',1);
fs = 400;
N = 4000;
dim1 = 8;
SIR = -30;
SNR = -20;
SNR2 = 5;
beta = 2;
w_bw = 1; % weight of baseline wander noise in the generated noise (for noisetype = 5)
w_em = 1; % weight of electrode ... |
1d2e7fae03faee5ee7addeb54b4e20fd9731644e1c6c9d6f9c0204b52948f303 | MATLAB | 5,808 | 128 |
gwfparams.dataDir = 'path'; % KiloSort/Phy output folder
gwfparams.fileName = 'temp_wh.dat'; % .dat file containing the raw
gwfparams.dataType = 'int16'; % Data type of .dat file (this should be BP filtered)
gwfparams.nCh = 32; % Number of channels that were streamed to... |
ba99bd25e7c4e1cd25b812bf979724723ac33935b49e118ec840d650c4b34edb | MATLAB | 5,815 | 141 | function [h, H2] = equalizer_filter_design(Sx, Sy, params)
%EQUALIZER_FILTER_DESIGN Design a frequency-domain equalizer from power spectra.
%
% Syntax:
% [h, H2] = equalizer_filter_design(Sx, Sy)
% [h, H2] = equalizer_filter_design(Sx, Sy, params)
%
% Description:
% This function designs an equali... |
c162b69b11934b8ab3818959dca11e59882bf8714261e60c0aa910cb3c43c02d | MATLAB | 5,820 | 167 | %% before_laser_baseline
clear
clc
cd('E:\2023 - ledramp\eopn3\all_psth_T_files')
[file, path] = uigetfile('all_psth_table.mat','MultiSelect','on');%select all_psth_table
cd(path)
%%
T = table;
for i = 1:length(file)
load(file{i})
files_data = readtable([file{i}(1:end-4) '.csv']);
all_psthT.i... |
00bf23cb8fa92f9451befc14b83da1c3f5cf6e005c5b93d94d578f14d8d76ff4 | MATLAB | 5,821 | 176 | % run_retroMoCoDemo_FatNavRecon.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Load in some example FatNav data from a real experiment (2mm resolution,
% 4x4 GRAPPA acceleration) and do the reconstruction
%
% Can be used to get a feeling for the process i... |
9c31434b20e26aa739096e686fa0b378641b1218ecc3405a9649519de0df6595 | MATLAB | 5,822 | 164 | %% analize DTA
cd('I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\DTA\all_ints_data')
DTA = importdata('all_ints_data_DTA.mat');
C57 = importdata('all_ints_data_C57(all_cells).mat');
CONTROL = importdata('all_ints_data_control(mcherry).mat');
%% add tags
DTA.tag = repmat({'DTA'}, size(DTA, 1), 1);
... |
0c94e75581ae43f081c5941f43851fa317ef886b37bdbbbcb4ea6a9edee95b07 | MATLAB | 5,827 | 121 | function [coher_achda, phase_achda, t, f, coher_shuff, phase_shuff] = AK_coherFP(beh, varargin)
%Compute coherogram between ACh and DA photometry signals acquired during
%dual color photometry recordings using Buzsaki function 'MTCoherogram'
%
% [coher_achda, phase_achda, t, f] = AK_coherFP(beh)
% [coher_achda... |
591243c6e405ab1251fd0af60aea30f1b3578757e621d5df989af3834b88162e | MATLAB | 5,829 | 166 | clear
p = params_2DAA;
fpath = fullfile(p.processed_data_dir,'allData.mat');
load(fpath,'evs','tis','bvs','traces')
[cols,alpha] = chooseColors;
%% run DR and decoding procedure for different trial samples
fpath = fullfile(p.data_dir,'tone_decoding_per_sub');
saveData = 1;
saveFigs = 1;
n_rep = 20; % ~80 sec. per rep
... |
ccc4a1d3b7150d2b6899ddc0d0edd333542d98236d7a96d146f50500b2f8e6ae | MATLAB | 5,832 | 185 | function [data json] = parse_json(json)
% [DATA JSON] = PARSE_JSON(json)
% This function parses a JSON string and returns a cell array with the
% parsed data. JSON objects are converted to structures and JSON arrays are
% converted to cell arrays.
%
% Example:
% google_search = 'http://ajax.googleapis.com/ajax/s... |
eae8cf320f506a76e1de4c5568ac5d6e7ac99802ec53a131a9d25a060f0c8312 | MATLAB | 5,840 | 221 |
% Z:\ephys_ntsr1\convnet_nosetracking
%% make training set
%load('C:\Users\jvoigts\Dropbox\wh_tracking\convnet_nosetracking\trainingset2.mat');
train_dir='Z:\ephys_ntsr1\convnet_whtracking\training_jvs';
tset=[];
tset.in=[];
tset.out=[];
c=0;
locations_pos=[];
locations_neg=[];
for i=[1 4 6]
c=c+1;
I = i... |
42a9130295c466cdb13ede86ffb7a48b07a5b401c3f371783b115291967df1c4 | MATLAB | 5,847 | 146 | function [phase_avg, freq_avg, amp_avg] = Phase_Ex_TFP(x1, fs, varargin)
%
% [phase_avg, freq_avg, amp_avg] = Phase_Ex_TFP(x1, fs)
% [phase_avg, freq_avg, amp_avg] = Phase_Ex_TFP(x1, fs, f0, bw_base, f0_dev, bw_base_dev, dither_std, pertnum)
%
% ************************************************************************... |
cfe99b5bcf5973531788a7d0322fe61655671caeb9e76d2b949a3c50706efad8 | MATLAB | 5,865 | 137 | % test baseline wander removal by periodicity maximization
% Status: UNDER TEST
% Reza Sameni, 2023
clear;
close all;
% load patient165_s0323lre; data = data(1:25000, 2)'; fs = 1000;
load SampleECG128Hz; data = y(:, 3)' ; fs = 128;
% data = data - lp_filter_zero_phase(data, 0.05/fs);
data_hp = data - lp_filter_zero... |
7f34677733747e4cdcf1b30afd7a9e419c55cdb369546957f1ba2b9ba09b5465 | MATLAB | 5,866 | 196 | function spmup_plotqc(tablein,fighandle)
% routine to plot data with non parametric kernel density
%
% FORMAT spmup_plotqc(tablein,fighandle)
%
% INPUT tablein is a matlab 'table' i.e. a matrix with properties such as labels
% figurehandle should be either 'new' (default) or 'current' to either
% creat... |
3c97accc66ce79c1e8f36a1f91b5b8392fc7e25ec743c2abaa83e521c9980b72 | MATLAB | 5,868 | 180 | function [BadChannels,SampleBkg,SampleVx]=mnl_FilterChannels_Somas(Somas,Data,Scale)
% Function to automatically filter out the bad channels
%
% Inputs
% Trace - the Structured Trace extracted from "mnl_ReadXML_BranchesSeperately_WhileLoop"
% Scale - the Scale of the image
% Data - the chromatically corrected image ... |
9fc4ef696309505042b4cf30b6c933b501027e7152ddfdf82384b5d207e2f53c | MATLAB | 5,869 | 179 | % This function the Eikonal equation by using the Fast Marching algorithm
% of Sethian.
% T: arival time map
% D: distance map
% Max_Known_Dist: distance at which to exit
% SVr: seed positions
% unisotropy: wave speed unisotropy in a uniform intensity image
% debug_plots: set to true only if working with 2d ima... |
436667583e48010b1e0e56640d7a74bacb325d8a664237213ea5999e88815ab6 | MATLAB | 5,871 | 263 | function ob = fatrix2_vertcat(blocks, varargin)
%function ob = fatrix2_vertcat(blocks, [options])
%| vertcat: B = [A1; A2; ...]
%|
%| in
%| blocks {cell} cell array of the (fatrix2) blocks
%|
%| option
%| 'dim_cat' dimension along which to concatenate odims
%| all other odims must match
%| default is ndim+1 if *al... |
b04bc20fe71f56300f394ac9a80afd1560f0050085d079e70012d56419110f8e | MATLAB | 5,883 | 155 | %% HPC for large amount of IC tests. Start from NESS
% BlockID 1,2,5
% SaveID Just for saving tag
function [] = HPCGlobConvTest2_RAND(BlockID, NSample)
CurrentFolder = pwd
%FigurePath = [CurrentFolder '/Figures/Demo022722/'];
addpath(CurrentFolder)
addpath([CurrentFolder '/Utils'])
addpath([CurrentFolder '/Data'])
Sav... |
e00ae8370d0145d0dffa7e7a1eba1330d1d6e04f2b77eab7a3702f2508774798 | MATLAB | 5,888 | 216 | %%
[cols,alpha] = chooseColors;
t_cols = {};
this_cmap = winter;
t_cols{1} = 'k';
t_cols{2} = [1 0.5 0];
t_cols{3} = this_cmap(64,:);
%% plot subject VE
figure('Position',[100 100 300 300])
hold on
this_cols = {t_cols{1},t_cols{2},t_cols{3}};
all_ves = cat(3,subject_ves{:});
sample_mean = mean(cat(3,subject_ves{:}... |
fa5f47c13f65d05fe04f22910bd0985b02ae562f58eadb472de2e8024095ec4e | MATLAB | 5,895 | 227 | clear;clc;close all;
addpath('eeglab2023.0');
addpath('Sleepscoring');
%%
EEG = pop_loadset();
%
EEG_hydro = EEG(1);
EEG_std = EEG(2);
%%
events_hydro = [];
events_std = [];
% hydro SWS
for i = 1: length(EEG_hydro.event)
event = convertCharsToStrings(EEG_hydro.event(i).type);
eve... |
8043d5bed313ed81d3493cc1614d56230670480ee7d56e1138afd78d1b8abb91 | MATLAB | 5,898 | 128 |
%%
clear
close all
close(findall(groot, "Type", "figure"));
path(pathdef);
addpath( genpath( 'Source' ) )
filenameData = 'DataCalculated/PreparedData/DataSonoNERF_Training_UALogo_test';
load( filenameData)
fnSave = [ 'DataCalculated/TrainedSonoNERFs/sonoNerfTrained - UALogo.... |
087b6be68fd4c2e4c2ed8daba765082db07d42e4a6e14f9544cd4d75a3d328f4 | MATLAB | 5,910 | 184 | function hAxes = dscatter(X,Y, varargin)
% DSCATTER creates a scatter plot coloured by density.
%
% DSCATTER(X,Y) creates a scatterplot of X and Y at the locations
% specified by the vectors X and Y (which must be the same size), colored
% by the density of the points.
%
% DSCATTER(...,'MARKER',M) allows you to... |
0a7f050afb75f83bcf312c9dfa3cad42f8bcb7185a1e7d12c0cea7d8cbb10f87 | MATLAB | 5,913 | 201 | clear
close all
clc
load ECG2
s = data(4, 1:end);
smoothingwlen1 = 3;
smoothingwlen2 = 3;
smoothingwlen3 = 3;
wlen1 = 15e-3;
wlen2 = 15e-3;
wlen3 = 15e-3;
p1 = 4; % spline order
p2 = 4; % spline order
p3 = 4; % spline order
snr = 25; % dB
s = s - LPFilter(s, 0.1/fs);
nvar = var(s)/10^(snr/10);
x = s + sqrt(nvar)*r... |
0b2d36100dbad060cd15a2fea2755293bb014dd9265fd15115ec6c90f2b234fa | MATLAB | 5,914 | 196 | function CCFourier20200219
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon
CCFourierLtUnit=[];
CCFourierRtUnit=[];
% %SpikeArrayÅLPegTouchAllARpegTouchallðACµ½NXRIO
% %SpikeArrayÅLPegTouchAllðAC·é
% duration=5000;
% CrossCoL=[];
% Cr... |
4f0ec341f5e932434f30080195f908daf73f7c345c9e8a33d029febd472eafdd | MATLAB | 5,915 | 123 | function [align,time,events,fig,sp] = plot_fp2fp(beh,varargin)
%Align one photometry signal to peaks of another photometry signal and plot average trace
%
% plot_fp2fp(beh)
% [align,time,events] = plot_fp2fp(beh)
% [align,time,events,fig,sp] = plot_fp2fp(beh)
% [align,time,events,fig,sp] = plot_fp2fp(beh,... |
7e04473f22bab5f31165555ea06c57216a60f089be4a1c4934bbe2cfbe8a93c0 | MATLAB | 5,917 | 161 | function calculate_IE_fun(file, path)
if ~exist("file", 'var')
[file, path] = uigetfile('*.mat','MultiSelect','on');
end
cd(path)
datafile = fullfile(path, file);
ploting1 = 0;
continut2premuation = 0;
%ploting2 = 0;
windows = {31:38, 55:129, 130:140}; %windows for calculating the response time - on, sustaneid a... |
283435924b98b7ebaac271e78d0ee4fbc2c45967fb96d52441bff57983f787b3 | MATLAB | 5,919 | 152 | % Test program for fetal ECG cancellation using EKF and EKS
%
% Dependencies: The baseline wander and ECG filtering toolboxes of the Open Source ECG Toolbox
%
% Sample code for testing naive maternal template subtraction technique
%
% Reza Sameni (C)
% Email: rsameni@shirazu.ac.ir
% Web: www.sameni.info
%
% Crated 2007... |
07858c1a9ce2b113791332642cb6a8aaeceffe974d7f29ff176df967317e06cb | MATLAB | 5,936 | 139 |
%% Init:
clear
close all
clc
path(pathdef);
addpath( genpath( 'Source' ) )
addpath( genpath( 'SonoTraceLab' ) )
rng(42)
%% Load the surface and prepare the surface normals
nFreqsSim = 14;
structMeshPreparation = struct();
structMeshPreparation.orientation = [ 0 0 0];
... |
91dfa8a4b165d590f28c1e7d2e23dd1680aba3026502d56395238315ddda7d95 | MATLAB | 5,939 | 216 | close all;
clear;
clc;
% parameters
subject1 = 'Dog_4';
subject2 = 'Dog_4';
tri = 28;
number1 = tri;
number2 = tri;
path1 = ['E:\Sameni\Projects\Seizure\' subject1 '\'];
path2 = ['E:\Sameni\Projects\Seizure\' subject2 '\'];
mode1 = 'interictal';
mode2 = 'preictal';
SpectralWinLen = 5.0; % in seconds
SpectralOverlapPer... |
b82dca8e8742f149cd55f988af5473e26ce8e00c80c6e0458d42a9a51f445514 | MATLAB | 5,944 | 197 | %% Analyse PSTH metrics by speed
%% onset and offset features by speed
plotFlag=false;
for ispeed = 1:6
%%%%%%%%%%%% onset features %%%%%%%%%
statVals = stat.onsetCharVec(statGoodVals & stat.speedVec==ispeed);
runVals = run.onsetCharVec(runGoodVals & run.speedVec==ispeed);
statSessions = stat.session(statGoodVals ... |
7862238487f3b5b35b977f0079a22321dc1fe74eb0ad2c7bc5037786cc0b5fea | MATLAB | 5,964 | 153 | function corre_report(app)
[int_idxs,~] = listdlg('PromptString',{'Please select intervals ',...
'to be plotted/saved.',''},...
'SelectionMode','multiple','ListString',app.popup_int_spect.Items);
[form_idxs,~] = listdlg('PromptString',{'Please select fileformat ',...
''},...
'SelectionMode','multiple... |
d1b57d176b159e2e0669c88c7e08286f622c562ea6f627c40aca1a0869d113df | MATLAB | 5,966 | 127 | function eCE = CondEn( x, delay, order, windowSize )
% CondEn.m efficiently [UK13] calculates values conditional entropy of ordinal patterns [UK14]
% in sliding windows
% INPUT
% - x - time series
% - delay - delay between points in ordinal patterns (delay = 1 means successive points)
% - order - order of ordi... |
4e5628cd35d0afbfb1d1aa6f3bace5b28ba30807ba7dbc6ad81f0f2723170d4d | MATLAB | 5,967 | 178 | % incorporate subject index in classification
clear
close all;
clc;
R1 = importdata('/Users/rsameni/Desktop/Seizure/kaggle/SourcesWithResultsBackup/testFreqDomainEnergyIncreaseRate01.txt');
R2 = importdata('/Users/rsameni/Desktop/Seizure/kaggle/SourcesWithResultsBackup/testICASubspaceAngles01.txt');
R3 = importdata('... |
52ace3ae4ea75c6d561d95fe1861acda8e489b4a6f80d09ac5e56ccd3ebcce49 | MATLAB | 5,968 | 172 | % Use like: h = rm_raincloud(data, colours, plot_top_to_bottom, density_type, bandwidth)
% Where 'data' is an M x N cell array of N data series and M measurements
% And 'colours' is an N x 3 array defining the colour to plot each data series
% plot_top_to_bottom: Default plots left-to-right, set to 1 to rotate.
% densi... |
3e271b6c969f0d51c2119ba0cd756ff9a95b19620c6c30b1f20c14d041fa8993 | MATLAB | 5,972 | 133 | function Worm_Axes = Find_Worm_Longitudinal_Axis(Data,Plot1,Ax)
% TODO: use scale-bar:
Scale_Factor = Data.Info.Experiment(1).Scale_Factor;
Initial_Radius = 120; % 60 ./ Scale_Factor;
Mask_Size = 100;
% This functions uses a higher level perspective (the entire neuron) to detect the longitudinal axis of the wo... |
1cb0b9ef3ad6dfb06e5190d03085923548e640cf91770fdd201a9c42c0a05a93 | MATLAB | 5,974 | 157 | %No. Label Name: R G B A
%% RIGHT SIDE first
clear full_cell
snp=12; id=[1:180]'; tstat_roi=SNP_Cardio_int_beta(:,snp)./SNP_Cardio_int_SE(:,snp);
id=[1:180]'; tstat_roi=tmp2.Estimate./tmp2.SE;
%snp=strcmp(snps.Properties.VariableNames,'rs7575796_A');
%tstat_roi=SNP_Dep_int_beta(:,snp)./SNP_Dep_int_SE(:,... |
a97e15882dc659ff6b6a2ea3e9507b961e15bc5c0d54343f9304daede225c70c | MATLAB | 5,975 | 175 | function res = detect(obj)
%DETECT Detect spikes in all recordings
tDetect = tic();
% get manually-set spike thresholds
if ~isempty(obj.hCfg.threshFile)
try
S = load(obj.hCfg.threshFile);
siteThresh = S.siteThresh;
obj.hCfg.updateLog('loadThresh', sprintf('Lo... |
0e0996ea65e24a504c1d26770b19c39b0c9f67ef6f74ca28b69acfc5de116baf | MATLAB | 5,979 | 183 | close all
clc
clear
% results = importdata('J:\ECGData\PTB\AllDataSmootherResultsPTB06_ComparisonWithWavelet2_Backup.txt'); fs = 1000;
% results = importdata('J:\ECGData\Arrhythmia\AllDataSmootherResultsArrhythmia06_ComparisonWithWavelet2_Backup.txt'); fs = 360;
results = importdata('J:\ECGData\Normal\AllDataSmootherRe... |
a7321dd1badb93350a6f3765792a8d4ec9c01d791d82ff28bfbd137a070a23d1 | MATLAB | 5,980 | 156 | function [d, tmpOut] = fsaverage2fsLR(f, hemi, d, pths)
% Resamples data from fsaverage to fs_LR space.
%
% This function converts surface data from the fsaverage surface space (used in FreeSurfer)
% to the fs_LR surface space (used in the Human Connectome Project). It supports both
% metric and label data resampling u... |
b2dfcd3d0cc18433cff69bdeea403e4fcbe469599d5700ec9afe9aa79eeffdf5 | MATLAB | 5,980 | 118 | % report all wavelet level results
clear;
close all;
clc;
addpath 'G:\Sameni\Documents\Papers\Journal 40 (Spline ECG Filtering)\CODES'
randn('seed', 0);
rand('seed', 0);
% % % dbstop if warning
type = {'PTB'};%%%{'Normal', 'Arrhythmia', 'PTB'};
for ttp = 1 : length(type),
switch(type{ttp})
case 'Normal'... |
d822919cc0cbcf30dd0e51f89789001232dbf046ae9f2e24fef5f95acc5a081f | MATLAB | 5,991 | 136 | function sfs = spmup_sfs(fmridata,TR,csf,roi)
% computes the Signal Fluctuation Sensitivity metric
% DeDora et 2016 <http://journal.frontiersin.org/article/10.3389/fnins.2016.00180/full>
%
% FORMAT: SFS = spmup_sfs(fmridata,TR,csf)
% SFS = spmup_sfs(fmridata,TR,csf,roi)
%
% INPUT: fmridata is the name of the t... |
084a82bb8182bf75af827c52e8f73221d29f9af50b008beaa55de062a7ea61e2 | MATLAB | 5,993 | 124 | % compare with this paper:
% S. Krishnan and C. Seelamantula, “On the selection of optimum savitzky-golay filters,” Signal Processing, IEEE Transactions on, vol. 61, no. 2, pp. 380–391, Jan 2013.
clear;
close all;
clc;
addpath 'G:\Sameni\Documents\Papers\Journal 40 (Spline ECG Filtering)\CODES'
randn('seed', 0);
rand... |
f05acc91ff0e8b3aee34ab69a2eef6710fe4c8c1e21fefd1944e6325012e4f7c | MATLAB | 5,995 | 156 | % gets the data showing the probability of eyesclosed over time for each
% trial outcome type.
clear
clc
close all
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Parameters
OnlyClosestStimuli = false; % only use closest trials
Parameters = analysisParameters();
Paths = Parameters.Pa... |
0cf31e2f1474f9942255142e8007fdbe8c550687b7ff82cab17218688e1f4144 | MATLAB | 5,998 | 196 | % this script calculates FWF in GM ROIs extracted using the atlas
% normalized to the subject's space
clc
clearvars
close all
addpath(genpath('/storage/stella/MATLAB_toolboxes/'));
addpath('/storage/stella/Analysis/matlab_scripts/');
addpath('/storage/stella/Analysis/DTI_FreeWaterFraction_May2022/SCRIPTS_MATLAB/');
lo... |
0c083b424c57f7dea4c6dac0aa68e01f478cb03d9b35fc90cc78ead02b43ea04 | MATLAB | 6,001 | 136 | function [Data,Overwrite_Axes] = Add_Features_To_All_Workspaces(Data,P,Overwrite_Axes)
Scale_Factor = Data.Info.Experiment(1).Scale_Factor;
Data.Parameters = Parameters_Func(Scale_Factor);
if(~isempty(Data.Vertices) && ~isempty(Data.Segments))
for s=1:numel(Data.Segments) % For each segment.
if(~isemp... |
5a110d3f2cbfe4eb76aecae258e911827afc2e119f63f61c4d1964504a48700c | MATLAB | 6,005 | 175 | function fig2_connectivity(folder, save)
%% Figure 2: General connectivity
% Subplots/information:
% - Ipsilateral projections dominate connectivity
% - Total in/output per node for ipsi/contra hemispheres
% - Average projection density between brain regions and hemispheres
% - Projection density vs euclidean distance
... |
59f2785eb0dce07dae9a218c172a47027331a87c88a38a2e92626473586c7ce4 | MATLAB | 6,006 | 166 | %
% Test program for mean ECG extraction.
%
% By:
% Reza Sameni, September 2006
% LIS-INPG, Grenoble, France - Sharif University of Technology, Tehran, Iran
% reza.sameni@gmail.com
clc
clear
close all;
load('SampleECG2.mat'); data = data(1:15000,8)';
fs = 1000;
t = [0:length(data)-1]/fs;
f = 1; ... |
1c0a7198c129386fc0021dfd2272ad9386f0b2a5e232b0b997eae441e81b0001 | MATLAB | 6,007 | 141 | % Example end-to-end pipeline of extracting data, preprocessing,
% feature extraction and spatial perturbation. The first part of the script
% reads in five minutes of MNI SEEG data that was downsampled to 200Hz due
% to file size limitations. The data is notch filtered, and the Janca
% detector [1] is used to de... |
c0ec55b3d95220f51e8e0fc409bc80a897ff7a548764c8120b8522202296b6e9 | MATLAB | 6,008 | 110 | function [Cor_Cond1, Cor_Cond2, Cor_Inter, ... % Correctness of decoding
DoP_Cond1, DoP_Cond2, DoP_Inter] = ... % Degree of Proximity
dPCA_classification(Xtrial, loop, numOfTrials, numCompsToUse, options, dim, params)
% dim: Channels x Cond1 x Cond2 x Time
% Data reconstruction
XtrainFull ... |
305a7acfa25e845ef35688e5e48982d00b09901257013ec718bd950346cec5f7 | MATLAB | 6,019 | 193 | %
% Test program for generating synthetic multichannel maternal/fetal ECGs
% mixtures with additive colored noise
%
% Dependencies: The synthetic ECG generator and noise generator package of
% the Open Source ECG Toolbox
%
% Open Source ECG Toolbox, version 2.0, December 2008
% Released under the GNU General ... |
ea370d405abe26669c3c0c64df26aeb3e16bf60cfe74182e37ed5e232a782a2f | MATLAB | 6,026 | 153 | % run_retroMoCoDemo_NUFFT.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Demo of the NUFFT operation to peform retrospective motion-correction on
% real example 3D datasets.
%
%%% The data for this demo can be downloaded from:
% 1mm data: https://bit.ly/retroData_2(32 MB)
% 600 um data: https://bit.ly/retroData_3 (... |
cea71a1de2cbf2e16cfa45416730c26bffc2781285ae0d8afae178762db4c18f | MATLAB | 6,036 | 136 | % This program is intended to extract
%
%
% Figure 2, Supplementary Figure S5, S6.
%
%
% by Hiro Taiyo Hamada, Araya Inc.
clear all; close all;
addpath(fullfile(pwd, '/programs'))
% session1
datapath = fullfile(pwd, '/data/session1');
listing_tph = makeList(datapath, '*TPH*');
listing_cont = makeList(datapath, '*... |
a12ba2262be2fd562e38ca6cff1228449e0beb8b585a025752ae73f1b7dc4021 | MATLAB | 6,048 | 190 | clear; clc; close all; rng('default')
assert(~isempty(strfind(pwd, 'embanded/examples/matlab')), 'Please change folder to the examples directory')
run(strrep(pwd,'examples/matlab','setup.m'))
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simulate envelope and EEG data and fit a 'decodin... |
2dbba821281c2ef1637e9a96b03478ba276857190cefda38bf93f696d74c2333 | MATLAB | 6,051 | 139 | %Results will vary slightly in different executions, mostly consistent
clear all;
tic
clc;
close all;
fcount = 1;
od=xlsread('por_data.xlsx','Sheet1','G1:G22');
od([1,8,20,22])=[];
load('nmrdata.mat')
nmr = nmr';
fnames = {'two_oct','hex','iaa','hxa','two_hep','ani',...
'msal','chex','apin','lcar','e... |
7d291c6f62306b8d70017ed5f4274c13d5ee9decb9aea2403ed3f67f0c2d79c8 | MATLAB | 6,051 | 140 | function destriped_image = bandpass_wavelet_fourier(image_to_destripe, gauss_sizes, dec_levels, wavelet, sigma )
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Destriping algorithm for image (2D array)
% Implements bandpass-wavelet-Fourier filtering, where an image is seprated into bands of varying... |
b7c8fad9e4f38ad99a3e8c3b267dec0f6f2ad4cb2e065fdde65a82a8bfbe4296 | MATLAB | 6,054 | 176 | function T = adaptative_threshold(varargin)
% evaluate from an SPM T map the mixing distributions corresponding to the
% null hypothesis (in theory a Gaussian centred on 0, but the algorithms
% allows a shift because of global effects) and the hypotheses of activation
% and deactivation (a Gamma and a negated Gamma)... |
3b9851ef7c3a3d6b6e85d52e84dcd44d7e4c05031451420e961fed2d566cb4ca | MATLAB | 6,056 | 178 | function [pmat_td, pmat_gr] = TM_parallel(sbj_id, mode, delta, gamma, datdir)
%% data load
game = [];
dirt = []; % south:1, east:2, west:3, north:4
resp = []; % left:1, forward:2, right:3, 4: listen
tigroar = [];
varnames = {'game','dirt','tigroar','resp'};
Nses = 4;
for s = 1:Nses
if mode == 0
dat = lo... |
d849f2f6d9312c8ad54d9b81ce0150f5115315dc4061bfc4ea4680387b87afb5 | MATLAB | 6,061 | 191 | % % Button down function: EntropyTab
% function EntropyTabButtonDown(app, event)
% working(app,'on')
% auto_derived(app)
% working(app,'off')
% end
% lbl_entropy_unit1
% Text ='seconds'
% Position = [502,340,54,22]
% lbl_entropy_unit2
% Text ='seconds'
% Position = [496,10,54,22]
%... |
49e98d531dc5901d78e603d2d8eba010c2677d98624ecebcbf5074534382c468 | MATLAB | 6,063 | 148 | function WonWofftest3window20190721
global StartTime FinishTime fname SpikeUnits TurnMarkerTime OneTurnTime RPegTouchAll LPegTouchAll DrinkOnArray dpath3...
MedPegTimeR MedPegTimeL RpegTimeArray LpegTimeArray RpegTouchall LpegTouchall WaterOnArrayOriginal WaterOffArrayOriginal...
RpegTimeArray LpegTimeArray DrName... |
c22849b787b18617449b0b3a4d877478b8778f4aca1a630cdf1848ceb166743b | MATLAB | 6,073 | 137 | warning('This function has been deprecated. Run test_ecg_get_twa2.m instead.');
%
% Test program for generating synthetic abnormal multichannel ECGs with additive
% colored noise
% The current example is for the TWA abnormality
%
% Dependencies: The synthetic ECG generator and noise generator package of
% the ... |
098d00b8c3905833c500fb3b2df60589cdb9232f9c93c8b13129d4bf7d627642 | MATLAB | 6,074 | 137 | function robustPE = rePE( x, delay, order, windowSize, lowThreshold, highThreshold )
% @brief rePE efficiently computes values of robust permutation entropy [KUU14,U15]
% in maximally overlapping sliding windows
% INPUT
% - x - considered time series
% - delay - delay between points in ordinal patterns (delay = ... |
b0895ce4437a372b9b6043e13b3469f81f8fa4fb0e0fdf1f4042b26adf070c8d | MATLAB | 6,081 | 161 | function [IF, PR, PS, PL] = Phase_Features_SingleCh(meth, sig, fs, f0, varargin)
%
% [IF, PR, PS, PL] = Phase_Features_SingleCh(meth, sig, fs, f0)
% [IF, PR, PS, PL] = Phase_Features_SingleCh(meth, sig, fs, f0, WS, ndft, pertnum)
%
% *************************************************************************
% * Calcul... |
5a43bb464cc530d751c86bb1733ae3fa0713d189ccf399d95c311ef48caaede4 | MATLAB | 6,086 | 119 | %% Process Data
clear all;
[FPfiles,FPpath] = uigetfile('*.mat','Select FP Files to Analyze','MultiSelect','On');
if isempty(FPfiles)
fprintf('No Photometry File Selected!\n');
else
[paramFile,paramPath] = uigetfile('*.m','Select FP Parameters File');
if isempty(paramFile)
fprintf('No Pa... |
d871fb987d089cd0c67ce947a10758b9b63329167ec78a6ed86cf7edf9735bb8 | MATLAB | 6,092 | 188 | function computeWaveformSim(obj, updateMe)
%COMPUTWAVEFORMSIM Compute waveform-based similarity scores for all clusters
if nargin < 2 || isempty(obj.waveformSim)
updateMe = [];
end
if isempty(obj.meanWfGlobal)
return;
end
% these guys are not in the default param set, but can b... |
1b62b2a518bc10a1a2706075f4cb14766f9aa48f0eea3f0b9b217a2011f7b94d | MATLAB | 6,093 | 127 | % SAMPLE_DELI Demo of LSIM-based ECG delineation with ecg_delineate_lsim
%
% Runs ecg_delineate_lsim on every .mat record in this folder, plots
% the detected fiducial points against the expert annotations and prints
% the mean absolute error (ms) per fiducial point.
%
% Each .mat record is expected to contain... |
99ae436b4ff6d07265da262ff256d55d6fa60c08b2a3e1aaa2f9717d039af9cb | MATLAB | 6,097 | 134 | function [stacked_events, num_non_zeros] = event_stacker(signal, event_indexes, event_bounds, varargin)
% event_stacker - Synchronous event stacking from input vectors and event indexes.
%
% Usage:
% [stacked_events, num_non_zeros] = event_stacker(signal, event_indexes, event_bounds, method)
%
% Inputs:
% signal: T... |
6b91205add76f278a6ec4ddf0f685f662e3977498274f326a91884e51ace6fe5 | MATLAB | 6,100 | 147 | function [lh_proj_data, rh_proj_data] = CBIG_RF_projectVol2fsaverage(input, interp, lh_map, rh_map)
% Usage: [lh_proj_data, rh_proj_data] = CBIG_RF_ProjectVol2fsaverage(input, interp, lh_map, rh_map)
%
% This function projects an input volume to fsaverage.
%
% -----------
% DEFINITIONS
% -----------
% Input arguments:... |
6ec4af0fe14b3a101b3eecda98c3fee512e3823154857d1bcfea79009fd7d731 | MATLAB | 6,104 | 110 | %-----------------------------------------------------------------------
% Job saved on 14-Apr-2021 15:05:13 by cfg_util (rev $Rev: 7345 $)
% spm SPM - SPM12 (7771)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
%%
matlabbatch{1}.spm.spatial.preproc.channel.vols... |
0766f5bf2c4e94c4a217e2e8a06776e449974a32aad4ebddf2c840f412f79937 | MATLAB | 6,105 | 180 | %%
clear
p = params_2DAA;
[cols,alpha] = chooseColors;
fpath = fullfile(p.processed_data_dir,'allData.mat');
load(fpath,'tis','bvs')
%% did the animal perform a v or h shuttle in a given trial?
% we only consider the time up to shutoff!
transitions = zeros(p.nSubjects,p.nSessions,50,2);
for sub = 1:p.nSubjects
... |
041aef5426a4910e8eae5213ab917a13ad41c4d250ddd0a026284ed29eb477f7 | MATLAB | 6,116 | 181 | %plot before and after per cluster
%calcualte_mean_psth
clear
clc
[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)
%%
for w = 1:length(file)
clearvars -except file w
load(file{w})
... |
6281141bac866eb4b151e7476e43e0d49a5827f2304543b39cd311b58a198413 | MATLAB | 6,116 | 169 | function CrossCoAllAnalysis
cd('C:\Users\B133_2\Desktop\CheetahData\2018-1-15_15-54-39 4301');
load 4301_180115
% load PeakTrough
TetrodeNum
PeakMatrix
N=[];
RRp_peak=[];
B=[];
StdRRpPeak=[];
N=size(PeakMatrix);
U=N(1);
M=4;
PeakRp=[U,U];
U
DiffMaxMinRpArray
SameT_RRppeak=[];
SameT_RRptrough=[];... |
a0e4e6dd027c6f34b448fa5ab083a0983798340a0f30ac9f94260075e754ee2a | MATLAB | 6,118 | 161 | function xlinc=getlinearsegment(xxtr,StdNoise,n)
% CHEck Initial and Final Samples
mslope=(xxtr(end)-xxtr(1))/numel(xxtr);
xlinc=mslope*([1:length(xxtr)]-1)+xxtr(1);
if and( xxtr(1)>StdNoise , xxtr(end)>-StdNoise)
% 1st and Final Sample Test above noise
if n==1
%if isempty(Apeaks) % exp ... |
c507a9e352414cd8e943790f7a96176ac835534df29cce10a431f1fb0f12780b | MATLAB | 6,121 | 165 | function cellcount20230425
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%‚±‚±‚©‚çStriatum MSN%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
path=['E:\CheetahWRLV20200411'];
cd(path)
LS1=ls;
Cellsum=0;
Rtcountsum=0;
Ltcountsum=0;
RtLtcountsum=0;
Touchcountsum=0;
Woncountsum=0;
Woffcountsum=0;
WonWoffcountsum=0;
Doncountsum=0... |
6cae40b48bdd66c28913b6ee6f8614aada8fe6c749e703114dd4f7b5629faa66 | MATLAB | 6,125 | 157 | function noise = biosignal_noise_gen(noisetype, SignalPower, snr, N, varargin)
% biosignal_noise_gen - Generate biosignal noise based on various types.
%
% Description:
% This function generates biosignal noise based on different modes, such
% as white noise, colored noise, real muscle artifacts, real electrod... |
faaf4ee2dd9128a926b6b4f8928f21d27159c694cdea660e2fd711c8b9cc1950 | MATLAB | 6,127 | 170 | %% LDE iteration w/o figures
% L4EmeshX,L4ImeshY,LDEFrfunc: compsed by several different response
% functions, and we choose the best from them for every step
%% Starting from the finest function!
% Output: Iteration firing maps, and L1 diff norm
function [LDERepFinal,LDEIL2Diff,L2DiffNormNeib,L2Diameter,LDEequv,FuncUs... |
b36582c66eb695794c17f01dfb7054d65d63e21fe34bc661d54600a899d3e5f6 | MATLAB | 6,128 | 96 | % Matlab function that for some levels of noise and a number of repetition
% is reading the csv noisy signals (used for GP-filitering) and filters them
% via Reza's matlab GP implementation and produces the corresponding csv files
% containing the filtered signals corresponding to Reza's
% method/implementation.
clear ... |
819825c0217d3ec6f79f36418bc8ee4fdacc98d3ae07d4fa787540981076ef9c | MATLAB | 6,130 | 162 | function [img, ser, mrprot] = parse_siemens_shadow(dcm)
% [img, ser, mrprot] = parse_siemens_shadow(dcm)
% function to parse siemens numaris 4 shadow data
% returns three structs with image, series header, mrprot info
% does not work with arrayed dcm()
if (size(dcm,2) > 1)
error('parse_siemens_shadow does n... |
89dd46f8ce40fc2ae6f9af4dff7d375e65e19f26a20a7446d331fa59e8c73936 | MATLAB | 6,135 | 160 | %this script uses 3 different matlab package :
%matspect.tar.gz is the matlab code for spectroscopy analysis
%spm8.tar.gz is the spm code (you can also get it from their site)
%batch5.tar.gz is my matlab code (mainly for automatisation of spm command)
%unzip those and add all directories (and sub dir) in your matlab p... |
1a08cbe6d6ca31aff330c8f6d6ea24edc8976ac2e15a78dbeb98fff4bcdaa70e | MATLAB | 6,139 | 140 | function plot_psth_and_ir_per_waveform_for_PHb(CTP)
%% plot waveforms for easch cluster and celltype
%ints = CTP.ints;
%%
CTP.psth_high_int = cell2mat(cellfun(@(x) x(1).psth.mean, CTP.ints, 'UniformOutput', false));
%% plot psth per waveform
mkdir('cell_type_PSTH')
cd('cell_type_PSTH')
%%
PSTH_per_waveform = grpstats(... |
ca2b974c24237b60769ed1623c281e72eeee59718519a7314d52155ecc6a7c14 | MATLAB | 6,152 | 143 | % Script to create markers based on the OptiTrack for the right index
% finger abduction task in EEG-MEG. Trigger is when finger returns to
% initial position (i.e. end of finger abduction)
% For this, we need the EEG data, MEG data, and OT data
% Zelekha Seedat
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
95495ee14952c09ffe1a3de07e1a6edca2885556278b254173898b02fc8da9f1 | MATLAB | 6,154 | 228 | function gopt = illustration_options(gdefault, varargin)
%ILLUSTRATION_OPTIONS Options for illustrations of EQ partitions
%
%Syntax
% gopt = illustration_options(gdefault,options);
%
%Description
% GOPT = ILLUSTRATION_OPTIONS(GDEFAULT,options) collects illustration options,
% specified as eRTIS_Sensor_Overlay, value pa... |
b6b4c16b0a56a3756cb4f0be97d4c1c1362ef2a547c0f2398d7684f8b821c877 | MATLAB | 6,154 | 172 | function NW2_Pattern_3_20201208
path=['C:\Users\C238\Desktop\touchcellLtRt_Hirokane'];
cd(path);
LS=ls;
LtNWFRUnit=[];
RtNWFRUnit=[];
LtNW12Point=0;
LtNW12Fire=0;
LtNW23Point=0;
LtNW23Fire=0;
LtNW34Point=0;
LtNW34Fire=0;
LtNW13Point=0;
LtNW13Fire=0;
LtNW14Point=0;
LtNW14Fire=0;
LtNW24Point=0;
LtNW24F... |
7328df0cba4baa1b4a589976db5f303a95af20c5c0c6d5dc71b1fe2e6c05bdea | MATLAB | 6,155 | 172 | function NW2_Pattern_3_20200302
path=['C:\Users\C238\Desktop\touchcellLtRt_terashita'];
cd(path);
LS=ls;
LtNWFRUnit=[];
RtNWFRUnit=[];
LtNW12Point=0;
LtNW12Fire=0;
LtNW23Point=0;
LtNW23Fire=0;
LtNW34Point=0;
LtNW34Fire=0;
LtNW13Point=0;
LtNW13Fire=0;
LtNW14Point=0;
LtNW14Fire=0;
LtNW24Point=0;
LtNW24... |
3b541837a10c47d10aab23b3d7294de3a65d34d98067ab5785d39bd15fee2aed | MATLAB | 6,156 | 135 | clear all, close all
% Concentrazioni esterne
% Concetrazione K+: 3-12 mM -> range da circa 1 a 15 mM
% Concentrazione Na+: 130-150 mM -> range da circa 80 a 160 mM
% Concentrazione Ca2+: ~1 mM -> range attorno 1 mM
CL = 6.38e-6;
RL = 5e3;
Vt2 = -.218;
kp1 = 3.04e-4;
kp2 = 7.5e-3;
R1 = 655;
R2 = 6... |
bc0279e6eec998cdbb1af4f6797ef1c365a1aacdab48c20d5439da46be4812f7 | MATLAB | 6,157 | 136 | %% Multiclass Classification #############################################
% Features: Xpca, dims: Nobservations x Npcs
% Labels: Y, dims: Nobservations x 1
fprintf('\n>> For every kernel and pair of PCs, calculate: ')
fprintf('\n>> LOOCV (leave-one-out cross validation) Accuracy:')
% Test 3 functi... |
202e54596b946e29c3284a9cf8fa09fe0f892d1c3acddf678d760d97b99e58e1 | MATLAB | 6,159 | 191 | % Load NIFTI or ANALYZE dataset, but not applying any appropriate affine
% geometric transform or voxel intensity scaling.
%
% Although according to NIFTI website, all those header information are
% supposed to be applied to the loaded NIFTI image, there are some
% situations that people do want to leave the origi... |
da6e370c1cc3fad0882a60cddf96adea9298def56aa7b8fac715b04a18fe60a5 | MATLAB | 6,161 | 164 | % data organization for E7 2DAA experiment
clear
p = params_2DAA;
%% load and structure nidaq data
sesTypes = [0 1 1 1 2 2 2 2 2 3 3];
for sub = 1:p.nSubjects
sub
thisSub = p.subjects(sub);
for ses = 1:p.nSessions
sesDir = fullfile(p.rootDir,'behavior',['session' num2str(ses)],['subject' num2str... |
97e3d53a649a3449bf45024c6a6179598d451b007ffa01133ded4731ce2e0355 | MATLAB | 6,162 | 189 | % Function to accumulate Active Neurons in Venn Diagrams
% of each Cell For each Experiment of the same
% experimental setup, i.e., same experimental conditions
% --------------------------------------------------------------------
% Input
% Load experiment manually from different folder: one by one
% R_Condition: ... |
89efed08fef4de9b7b66bf784acd23e8814e5c898b83ebccc70c4ae1b2ec0aaa | MATLAB | 6,165 | 109 | %% NATSORTFILES Examples
% The function <https://www.mathworks.com/matlabcentral/fileexchange/47434
% |NATSORTFILES|> sorts a cell array of filenames or filepaths (1xN char),
% taking into account any number values within the strings. This is known
% as a _natural order sort_ or an _alphanumeric sort_. Note that MA... |
322103782d42e148232c27914bfce8768be03138444fe356d24b99174ae44f77 | MATLAB | 6,166 | 121 | clear;
close all;
clc;
addpath 'G:\Sameni\Documents\Papers\Journal 40 (Spline ECG Filtering)\CODES'
randn('seed', 0);
rand('seed', 0);
% % % dbstop if warning
type = {'Normal', 'Arrhythmia', 'PTB'};
for ttp = 1 : length(type),
switch(type{ttp})
case 'Normal'
pth = 'J:\ECGData\Normal';
... |
3de3126289c84f826d50afba52cf064c4a49decc50863b41b6144e2ce7ba7af6 | MATLAB | 6,177 | 121 | %% layer and cell types per cluster form all_psthT
clc
clear
cd('I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\figure5_S_layers')
load('all_cells_PSTH.mat')
%% pool ACd ACv, 6a 6b
change_position_name = all_psthT.position;
AC_names = find(contains(change_position_name, 'ACA'));
change_position_name(find... |
f68155a7d15869c00e2c1dfebf8ab026ecb9c20b9e3793e6018af36c91aba1e3 | MATLAB | 6,177 | 184 | classdef file_writer < handle
%
% Class:
% adi.binary.file_writer
%
% This is meant to handle the binary file format which is publically
% available online. The binary format only supports writing one
% record. There is no SDK for this format. Instead low
% level read/write... |
fdeba09c82bf44fc3dcc3866118f9946804fd6e9b49232eff500e89f4d3afeb9 | MATLAB | 6,181 | 192 | function save_lag_fig(app)
print_cell = {};
print_cell{1,1} = 'Interval';
print_cell{1,2} = 'signal1';
print_cell{1,3} = 'movmean';
print_cell{1,4} = 'signal2';
print_cell{1,5} = 'movmean';
print_cell{1,6} = 'Lag';
print_cell{1,7} = 'Kendalls tau';
print_cell{1,8} = 'p';
print_cell{1,9} = 'spearmans rho';
print_cell{... |
41bd2307521c077af125570839852ceefdd1fbd33fdb7dae484e0c7a3375e74e | MATLAB | 6,183 | 179 | %% HPC for large amount of IC tests
% ICId Initial Condition Id : 1-4: 0, 22.5, 45, 90 deg
% ContrastID: A. bg fr
% B. "1/2 contrast" = bg + 1/2 * (X_E-bg, X_I-bg)
% C. (normal) full contrast = (X_E, X_I)
% D. super-charged = bg + 3/2 * (X_E-bg, X_I-bg)
% SaveID Just for saving tag
... |
a6eaebbb6a4ac6dfe9457b10a5ce00f30b79d2f1fb7aefe23ec40c09413f4419 | MATLAB | 6,183 | 150 | function [phase, inst_freq, amp] = Phase_Ex_Trad(x1, fs, varargin)
%
% [phase, inst_freq, amp] = Phase_Ex_Trad(x1, fs)
% [phase, inst_freq, amp] = Phase_Ex_Trad(x1, fs, WS, max_f, ndft)
%
% *************************************************************************
% * Instantaneous Phase (IP) estimation using the conve... |
d5021dbc8d9cf8ccc6c953f6b4ff649f622c2d644237bd8aa2083d935a367986 | MATLAB | 6,192 | 108 | function lickingsearch
cd('C:\Users\C238')
if ~exist('CrossCorr', 'dir')
mkdir('CrossCorr')
end
SaveDir = 'C:\Users\C238\CrossCorr\';
CoreDir='C:\Users\C238\CheetahWRLV20220213';
cd(CoreDir);
MouseList=ls;
for m=1:length(MouseList(:,1)) %%}EXÔ
Mouse=strtrim(MouseList(m,:));
if ~strcmp(M... |
c76c1ecb1d0eef09e7be799a8a1dcb61d723afc706dc318000af739d3113b412 | MATLAB | 6,200 | 263 | % nufft_table_test.m
% 3D test
if 1, printm '3d'
if 1 || ~isfield(s, 't'), printm 'precompute structure'
% ktype = 'minmax:kb';
ktype = 'kaiser';
Jd = [3 4 3];
Nd = [10 8 9];
Ld = [2^8 2^7 2^7];
Kd = 2 * Nd;
% n_shift = zeros(size(Nd)); printm 'easy: 0 shift'
n_shift = [3 7 2]; % stress it
gam = 2*p... |
5afe8fc71673f74f6867ba97d8f86efbcb34b3f4e85b960a7e283e3641c8385c | MATLAB | 6,202 | 201 | %----------------------------------------------------
%RETROICOR_interpolate_hera_reject
%
%Interpolates heart rate data after editing in Hera
%to remove rejected periods by inserting new peaks.
%
%EJH2011-14
%----------------------------------------------------
function matfile=RETROICOR_interpolate_hera_reject(matfil... |
36b5b8692f028d18eb78a3e8fec1add79473ef6075260a53b9a9650fc5fe6123 | MATLAB | 6,207 | 150 | function [pTvaf,pExp,tvafPerm,tvaf,vaf,vafs,vafp,vafpPerm,vafPerm,explainedPermAll,coeff,score,latent,tsquared,explained,mu] = permutedPCA(inData,numPerms,permType)
% [p,coeff,score,latent,tsquared,explained,mu] = permutedPCA(inData,numPerms,permType)
%
% permutedPCA computes the total variance accounted for by a PC... |
154f08dcd8ad12162ada806450d57d70dc4a4763bdaf282e85e98cb3a9d36327 | MATLAB | 6,222 | 183 | function varargout = Legend(varargin)
% Copyright Benjamin Cowley, Matthew Kaufman, Zachary Butler, Byron Yu, 2012-2013
% ---GNU General Public License Copyright---
% This file is part of DataHigh.
%
% DataHigh is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public Lic... |
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