sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a61c255cdb4c223026b3af5a51964d22ad7cd57f133090898fa2117e680f1c71 | MATLAB | 10,677 | 236 | function MovWindow20210107(RorL)
global RpegTouchallWon LpegTouchallWon SpikeArrayWon RtouchSpikeOnUnit LtouchSpikeOnUnit RtouchSpikeOffUnit LtouchSpikeOffUnit...
Windowinterval Spikeposition pegpatternum pegpatternname
%%%%%%%windowÌstartÆendðÝè
WindowNum=5;
width=Windowinterval/2;
slide=50;
%%%%... |
c132c448123b56c7f9633d9755e4ce41c6ed23924b0f6d45c011619fe3e1e51e | MATLAB | 10,687 | 202 | clear
close all;
clc;
R1 = importdata('E:\Sameni\Projects\Seizure\SourceCodes\Probabilistic\SourcesWithResultsBackup\testFreqDomainEnergyIncreaseRate01.txt');
R2 = importdata('E:\Sameni\Projects\Seizure\SourceCodes\Probabilistic\SourcesWithResultsBackup\testICASubspaceAngles01.txt');
R3 = importdata('E:\Sameni\Project... |
8fd0b63abff212465433958c3cbf8574d0e21af468ef83e8a8b5b8a703fb5c36 | MATLAB | 10,688 | 294 | function [Cells]=mnl_ReadXML_Somas(fname)
%Function to quickly read all the somas only, based on the functio mnl_ReadXML_DendritesAndSomas4
filename=sprintf('%s%s',fname,'.xml');
[s]=xml2struct(filename);
%% Step 1 - Store the somas
if isfield(s.mbf,'contour')==1 %if somas exist
nContours=size(s.mbf.contour,2); %Al... |
e32a6dcd088af356dfaf7db9615063b4234734d6affa73b62be04ae7273a839d | MATLAB | 10,695 | 253 | %Shinjini Kundu (c) 2016
%Note: when using covariates, check to make sure that scaling of each
%column is in the same order of magnitude as the other columns. If not,
%must whiten the covariates matrix (column mean 0 and standard deviation 1)
function [ results ] = Run_Regression( matrix, y, frac, I0, A_mean, mod... |
9303c8a167e40647135b866caf3d4203bb683f657c6b2ac9c8f1dc9ddcb4bdfc | MATLAB | 10,697 | 301 | %% Date: 03-03-2022 Programmed by: Deirdre BOLGER
% Function to plot ERPs of the selected data.
%
%*****************************************************************
%% LOAD IN EEG DATA
study_session = 'VBP';
conds = {'Filler', 'Test'};
numsuj = 2; % The number of datasets or subjects.... |
000f72b598835427efaa325b57037c7e1a51b5c7822ae97661ce762c415ce673 | MATLAB | 10,705 | 232 | function update_spike_axis(app, static)
%UPDATE_SPIKE_AXIS Summary of this function goes here
% Detailed explanation goes here
sel_cluster = find(strcmp(app.popup_cluster.Value,app.popup_cluster.Items));
int_idx = find(strcmp(app.popup_int_spike.Value,app.popup_int_spike.Items));
%data = app.data(app.settings.chan... |
4fdcc952976732e92de583818dee67c440071c16a44a33b43c39393ed9e3251f | MATLAB | 10,707 | 232 | function update_spike_axis(app, static)
%UPDATE_SPIKE_AXIS Summary of this function goes here
% Detailed explanation goes here
sel_cluster = find(strcmp(app.popup_cluster.Value,app.popup_cluster.Items));
int_idx = find(strcmp(app.popup_int_spike.Value,app.popup_int_spike.Items));
%data = app.data(app.settings.chan... |
f1ffe7f61ec23766f14ec14cceaec9b691b24dea4b100bc3a7972f94f7386900 | MATLAB | 10,722 | 271 | function [x_smoothed1, x_smoothed2, optim_lambdas1, optim_lambdas2, cc1, ee1, cc2, ee2, L_curveC1, L_curveE1, L_curveC2, L_curveE2, knots0, knots] = ECGSmoothnessPriorsDenoiserBW(x, SmoothnessFactor, varargin)
% Block-wise ECG denoising based on smoothness priors
%
% [x_smoothed1, x_smoothed2] = ECGSmoothnessPriorsDeno... |
536f88c727fabc8b44926b96c51c9dd385bf8ad887fbdfdb123235d81e1e388a | MATLAB | 10,725 | 257 | % This program is intended to check statistics of motion artefacts on
% behaviorss
%
% Procedure
% %% 1. datapath to the 6 motions data
% %% 2. make list of the datasets
% %% 3. extract time series of motion artefact
% %% 4. make contract between two groups
% %% 5. preparation for visualization
% %% 6. Visualize the re... |
698c64573f85761eb920c06c633f057ff15b28ce9077e3b3986ee7e3babf5e13 | MATLAB | 10,740 | 230 | %This script examines each event and pulls out a specified amount of time
%pre and post event for the beginning and end of the event. The data is
%stored in a large structure array for
%easier sorting and analyis. The script is written to handle mouseData
%arrays from the masterDataProcessor. Any pre/post period... |
61727d950f071589c443ce7cd34dc9f939c6a2b13f4f91e1278d68181e53c192 | MATLAB | 10,766 | 281 | % Features of Neurons @ Ensembles
% It gets the Neurons that participate in each ensemble
% R(F)un after Clustering only
% INPUT:
% R_Condition: Cell of Rasters from Selected Raster
% Ensemble_Threshold Cell of vectors
% Ensembled_Labels Cell of vectors
% fs sampling frequency
% OUTPU... |
9c7cee2c2e49474725e935704089c992b173e756715b669348115fa8f87738cd | MATLAB | 10,781 | 313 | function [BadChannels,SampleBkg,PxTrace,BkgSigCumulativeDistribution]=mnl_FilterChannels_FragmentBased(Trace,Scale,Data)
% Function to automatically or manually filter out the bad channels. It
% will also save a MATLAB figure and png of the signal to noise
% distributions of each channel
%
% Created by Marcus Leiwe, Ky... |
2d724d10468ad60a135508f4d59f1e052bcda20afba7a21e449a2bd40c905ff1 | MATLAB | 10,793 | 223 | %This script examines each event and pulls out a specified amount of time
%pre and post event for the beginning and end of the event. The data is
%stored in a large structure array for
%easier sorting and analyis. The script is written to handle mouseData
%arrays from the masterDataProcessor. Any pre/post period... |
4e61f478f84c3644f7207ca79662d7b247fe1869fd8f49577b1a0d382c1bad36 | MATLAB | 10,806 | 221 | function [power, phase, times, wavelets] = time_frequency(data, srate, freqs, minCycles, maxCycles, bufferZone, startTime, phaseInDegrees, resampleTo, plotFlag, numWorkers)
arguments
data double
srate double
freqs (1,:) double = single(linspace(1, 20, 39))
minCycles (1,1) double = 3
... |
8e94fde3e5a807f6f9872f8fd15c666e9d9053bc1a0b797d47160749762f11eb | MATLAB | 10,818 | 341 | function [spikepos, out_] = SWTTEO(in,params)
%SWTTEO Detects Spikes Location using a modified WTEO approach
% Usage: spikepos = swtteo(in);
% spikepos = swtteo(in,params);
%
% Input parameters:
% in_struc: Input structure which contains
% M: Matrix with data, stored co... |
2821a5be4052f08797f4ab976a98a8eb7962da13493660416efe0aff40d87495 | MATLAB | 10,827 | 279 | function pretouch20191024
%¼àRFXpCNª Á½¼OÌ^b`©çXpCNÜÅÌÔðp¢½\ª
%pretouch20190608©çÌÏX_F1000rɼ·Æ±ëjMaxÌlð¬æêÊÜÅÉÏXAqxgÏ·ðgíÈ¢æ¤Éµ½
global ACresult ACresultW CCresultDrinkOn SpikeArray TurnMarkerTime RpegTouchallWon LpegTouchallWon.... |
d653e1901dccf7122891c2c960beef2dfcf4d7bbc4494ff8c65cf4ed08e4acb4 | MATLAB | 10,849 | 376 |
function fractional_sampling(varargin)
% sys_argv = str2double(varargin{1});
%%
% rng(sys_argv)
savefigpath = './fig/'; % folder for figures
savedatapath = './data/'; % folder for data
if not(isfolder(savefigpath))
mkdir(savefigpath)
end
if not(isfolder(savedatapath))
mkdir(savedatapath);
end
%%
p.lo... |
e12caf2c1d2128c68042efeaf929db42b7469ee8d8abc1ed59372386a75c263c | MATLAB | 10,855 | 283 | function [h, A, S_mean, S_median, S_max, S_min, S_max_min_avg] = spatio_temp_innovs_flt_designer(template_records, varargin)
% spatio_temp_innovs_flt_designer - Designs an innovations filter from ensembles of multichannel random processes.
%
% Syntax: [h, A, S_mean, S_median, S_max, S_min, S_max_min_avg] = spatio_temp_... |
099ad30b009a790fb0c8046a73a3626de5ae0c6c21271c60d05bc2c5fa832f23 | MATLAB | 10,862 | 308 | %% PCA
%load zScore data
save_path = 'E:\CM_NeuralActivity_Analysis\PCA\PCA_figures_20Cosyne';
% Select trial types and time window for pca
correctTrials = ['TTT', 'VTN', 'VVV', 'TVN'];
tt_numb = [4, 12, 14, 9];
tt_colors = ['b','c', 'r', 'm'];
tw = [-0.1 0.5];
% zScore data window: -1 ~ 2.5 sec, bin = 25 ... |
0b5f553849caa111c295e250ff4509f814763d11240a128ef511625f4dcfe506 | MATLAB | 10,866 | 226 | function hemi = idHemi(f, ln, rn, varargin)
% Identifies the Hemisphere Associated with a File Based on Its Name
%
% hemi = idHemi(f, ln, rn)
% hemi = idHemi(f, ln, rn, app)
%
% **Description**
% ------------
% The `idHemi` function is designed to determine the hemisphere ('left', 'right', or [])
% associated w... |
b0ecfc13b5a4b1dd3b4ee4e219e028541b8fc5528bfd1a7f22683cec0aa39a88 | MATLAB | 10,886 | 280 | %% analysis of PSTH responses from allen's 'Functional Connectivity' dataset
dataDirectory = 'E:\AllenInstituteAnalyses\AllenDataAnalysis\Data\rawMatFiles';
dataFiles = dir(fullfile(dataDirectory, 'session*'));
tic
for isession = 1:numel(dataFiles)
isession
clear units trials runInfo pupilInfo sessionInfo
... |
cb94b2c65f3e8c82daad31815ee8ea0ed73245ed82c7fd087078585d4289dbff | MATLAB | 10,892 | 273 | function [hdr, record] = edfread(fname, varargin)
% Read European Data Format file into MATLAB
%[hdr, record] = edfread('F:\2019.7.3»»µçÄÔʵÑéÊÒ\ÀîÑÞ\AA¿ÆÑÐ\xian\dataset\sleep-EDF\SC4001E0-PSG.edf')
% [hdr, record] = edfread(fname)
% Reads data from ALL RECORDS of file fname ('*.edf'). Header
% inf... |
e44aa43a521756ebcafcb8845b26c0b9c543821bc3d6c3d606e73b1f4584b269 | MATLAB | 10,912 | 253 | %% EEGVR_L2_Preprocessing_Main Programmed: D. Bolger
% Specific pre-processing script for L2LearnEEGVR project.
% Script to carry out the different steps in the pre-processing of EEG
% data.
% It applies functions from EEGLAB, the PREP pipeline.
% Functions from the ADJUST toolbox are called in the "CREx_ICA_ca... |
cb585603e29aaf52f1443beb4ab04f361cb1cab078be02f6dcd1051a57ebe41a | MATLAB | 10,913 | 279 | %% Widefield_DoubleStaining
% This script loads the anatomical double staining data to visualize it.
%
% Version:
% 05-Jan-2024 (R2023a)
% Prepare
clc; clear all; close all
warning('off')
% Add toolboxes
% A MATLAB toolbox for exporting publication quality figures
% (https://github.com/altmany/export_fig)
addpath(gen... |
de5b2a6cf6251cd49ab4cc488dd0ccf93de6af11c1e19dfa5db5af02d7953828 | MATLAB | 10,924 | 304 | function [PreprocessedData_SAVE,TrialParam_SAVE,DataVersions_SAVE,varnames_SAVE,Fs_SAVE] = entiresessionStackTrialsV4(nameGen,allTrials,setupParam,DecayReference)
%% Establish paths to data
path_to_data = '/Users/castine/Dropbox (Bruchas Lab)/TEMPORARY PHOTOMETRY/Carrie_analysis_repository/MatFilesSimple';
addpath(pa... |
eb69dc7797e07478f89bf60e9ce821620daa435e382c2debba98fe110ef87e0f | MATLAB | 10,924 | 222 | % Test script for an ECG denoiser based on a data driven MAP estimator in
% the phase and time domains
close all
clear
clc
% Load data
% datafilepath = '../../../../DataFiles/Physionet.org/files/ptbdb/1.0.0/'; % Change this path to where you have the .mat data files
% fs = 1000.0; % Sampling frequency of the data (pu... |
f7ff28d232948c6df6a7d5d84ac2f91bca91f3411ae50c048069a4954723e7f2 | MATLAB | 10,936 | 201 | function Set_Objects_UI(P)
P.GUI_Handles.Main_Figure = uifigure('Name',[P.GUI_Handles.Software_Name,' ',P.GUI_Handles.Software_Version],'AutoResizeChildren','off');
clf(P.GUI_Handles.Main_Figure);
set(P.GUI_Handles.Main_Figure, 'WindowState', 'maximized', 'Color', P.GUI_Handles.BG_Color_1);
drawnow;
P.GUI_Han... |
8d7aa445f8abdcf0e724685d608c5aae4ab257d148c9fe682e0cc2527a6e1aa3 | MATLAB | 10,956 | 211 | function update_burst_axis(app, keep_xl)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
cla(app.ax_msna_int), cla(app.ax_burst_res)
cla(app.ax_burst_interval_his), cla(app.ax_burst_duration_his)
cla(app.ax_burst_amplitude_his), cla(app.ax_burst_integral_his)
cla(app.ax_burst_res), cla... |
3cc49fc2afadfb9860a6478881de026a85f2bcf0b7e9e12a7c1de22efcbb07d7 | MATLAB | 10,969 | 325 | function plot_params = genPlotParams(task,plottype)
%% INPUTS:
% task: task name
% plottype: 'timecourse'(e.g. for HFB),'ERSP' (for spectrogram),
% or 'ITC' (for inter-trial phase coherence)
%% OUTPUTS:
% plot_params .single_trial: true (plot indiv. trials) or false (plot avg. across trials)
% ... |
fe9be21808743969a18f2edc2d2c5d6f6e409a1ad9f82eb62e5215c68da4cd85 | MATLAB | 10,971 | 312 | function RLphase20190517
%¼àUFLtÌÔÌRtÌÊðp¢½\ª
global ...
ACresult ACresultW CCresultDrinkOn SpikeArray TurnMarkerTime RpegTouchallWon LpegTouchallWon...
RpNum LpNum CCresultSpike locsP1time locsP2time locsP1time2 locsP2time2 pksA1 pksA2 CCresultRtouchWon CCresultLtouchWon dpath3...
... |
0506f13944c91aa2658ec4ab3cdcc4eb1c82f6a7d7c8c0b4d1c2b50526199053 | MATLAB | 10,988 | 286 | function calc_combine_stats(app)
intervals = {[]};
signals = {[]};
for i = 1: length(app.comb_stat)
if i == 1
intervals = app.comb_stat(i).intervals;
signals = app.comb_stat(i).signals;
else
intervals = unique(horzcat(intervals, app.comb_stat(i).intervals),'stable');
signals =... |
8b9bbdd1f04121aa924fc5afa5d7304b3a89d6e934469c8e76371394bc9f97ba | MATLAB | 11,042 | 220 | % Train Classifier for Each Outcome on Multiple Time-points
% and Apply to Epoched Heldout Localizer Data
% Enter path of MEG_Decision_Study folder
study_folder = 'D:\MEG_Decision_Study';
% add path to util folder
util_folder = fullfile(study_folder, 'MEG_analysis_scripts', 'utils');
addpath(genpath(util_folder));
... |
82910503601cede48e9961eda5bfb8d67abaaf410f2e6386a91edc8d536fcbb5 | MATLAB | 11,049 | 212 | function results = correlation_analysis(app)
if ~isempty(app.burst_ints)
tmp =find(vertcat(app.burst_ints.type) == 1);
borders = nan(length(tmp)+1,2);
int_names = {'full interval'};
for i = 1: length(tmp)
borders(i+1,:) = app.burst_ints(tmp(i)).borders;
int_names{i+1... |
90d1090f8eb94a748a74ae745373e7e2b51b9eb6effe72b270c0d3c10395e5d4 | MATLAB | 11,061 | 226 | % Automatic Denoise Detrend & Deconvolution
% Accepted Signals:
% SNR>0 and Highly +Skewed Signals
function [ESTSIGNALS,SNRwavelet,SNRindx,TAUSall,isSIGNALS,...
notSIGNALS]=AutoThreeD(NumberofVideos,L,p,taus_0,dyename,FolderNameRT)
%% Call for global variables
global SIGNALS;
global DETSIGNALS;
global preDRIVE;
gl... |
8f5f4261c8eca6b3760d203ae277144ec21e10bf165c7a8e79abd79853910ae7 | MATLAB | 11,074 | 279 | function Lt_Rt_Pattern1_and_CV__5Touches20200306
path=['C:\Users\C238\Desktop\touchcellLtRt_terashita'];
cd(path);
LS=ls;
PositiveTouchesPointArray=zeros(1,6);
FRCVLPWTouches=[];
FRCVRPWTouches=[];
for i=1:length(LS(:,1))
TrimFolder=strtrim(LS(i,:));
if ~strcmp(TrimFolder,'.') && ~strcmp(TrimFolder... |
e2e69dd1aa65b3daeefa063373bb3621f8cacbacdb5d2eae49fcae95435445b1 | MATLAB | 11,074 | 299 | function loadFiles(obj)
%LOADFILES Load results struct
if obj.isError
error(obj.errMsg);
end
if ~exist(obj.hCfg.resFile, 'file')
error('%s does not exist', obj.hCfg.resFile);
return;
end
try
obj.hCfg.updateLog('loadRes', sprintf('Loading %s', obj.hCfg.resFile), ... |
b2e4225ee525dcff33fc773dfb96f4cfb00d086b0f5fafc12dc53ff4a01a6564 | MATLAB | 11,077 | 369 | clear all
clc
load('/media/jdscasta/Jason_drive/Alex_fingerprint/QPN_epoch_DKAtlassourcePSDfullspectrum_export_07162021.mat')
%% full spectra
count2=1;
count=1;
for i=1:length(HC_dirs)
count2=1;
temp=squeeze(HC_data(:,:,:,i));
temp=reshape(rmmissing(temp(:)), [68,901, length(rmmissing(temp(:)))/61... |
41db3cba05f6c5e581d794ab9a714bd1631060e5cfdb25906464fe0d487a8431 | MATLAB | 11,097 | 336 | clear
close all
clc
load ECG2
s = data(4, 1:end);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
warning('off', 'MATLAB:nearlySingularMatrix'); % THIS IS JUST FOR AVOIDING THE MATRIX SINGULARITY WARNINGS. A MORE NUMERICALLY STABLE VERSION OF THE CODE MIGHT BE NEEDED
%%%%%%%%%%%%%%%%%%%%%%... |
90cd53ae956538d935886b2d85224f49a0ee7ef4c88506aa79ea5c9dc5976a48 | MATLAB | 11,111 | 308 | %{
----------------------------------------------------------------------------
%Stimulus bias changes by block
%Just model analysis
%Based on Rao 2010 Front Comp Neurosci
%Value updating + Prior updating
----------------------------------------------------------------------------
%}
function [prior,posterior... |
16cc969d9a5288bec2e33075cb71464ba415dde52e363fbe4e6d36fe50a62e2d | MATLAB | 11,122 | 301 | function Window_FRanalysis
path='C:\Users\C238\CheetahWRLV20220213\touchcellLtRt_Hirokane';
cd(path)
LS=ls;
Rt4step1 = []; Rt4step2 = []; Rt4step3 = []; Rt4step4 = []; Rt4step5 = [];
Lt4step1 = []; Lt4step2 = []; Lt4step3 = []; Lt4step4 = []; Lt4step5 = [];
Rt3step1 = []; Rt3step2 = []; Rt3step3 = []; Rt3step... |
a3836cc6b1a826c5bd54865fef99143f1fd921e1a3d252f2a8cb8219288f57cd | MATLAB | 11,132 | 268 | function Negative_Close_Window_or_All_pattern_1_20201208
path=['C:\Users\C238\Desktop\touchcellLtRt_Hirokane'];
cd(path);
LS=ls;
NegativeLtouchUnit=[];
NegativeRtouchUnit=[];
LtNWPointArray=zeros(1,4);
LtNWFireArray=zeros(1,4);
RtNWPointArray=zeros(1,4);
RtNWFireArray=zeros(1,4);
W23NegativeLtouchUnit=[... |
ac22860448576f138e2407bb3fbe85f75ba48a311097de948d58e74c16218a74 | MATLAB | 11,133 | 268 | function Negative_Close_Window_or_All_pattern_1_20200309
path=['C:\Users\C238\Desktop\touchcellLtRt_terashita'];
cd(path);
LS=ls;
NegativeLtouchUnit=[];
NegativeRtouchUnit=[];
LtNWPointArray=zeros(1,4);
LtNWFireArray=zeros(1,4);
RtNWPointArray=zeros(1,4);
RtNWFireArray=zeros(1,4);
W23NegativeLtouchUnit=... |
14cf9e7bf1212ab4bd18a194896590c1730118e9d3fef886739a755befcc4ad9 | MATLAB | 11,143 | 303 | function peak_VE_hmm_func(sub,ses,project_dir)
overwrite = true
restoredefaultpath
% close all
clc
% project_dir = 'R:\DRS-KidsOPM\Paediatric_OPM_Notts_AdultData\';
%
% sub = '001';
% ses = '001';
run = 'run-001';
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
addpath(genpath('.... |
69de2ce69b5741496d07d75e18202fbf51aeb057fd8dffce97eb17413a02a52b | MATLAB | 11,144 | 213 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This script plots individual fits using empirical Bayes estimates of the K-PD
% model calibrated to different groups of treated and untreated animals,
% It generates the plots of Figures 2B and S3 of the manuscript
%%%%%%%%%%%%%%%%%%%%%%%%%%... |
ee3b5d214b3c25224c6a0666c4a86ab6735805d807c61c27c9d38817d87eb6d9 | MATLAB | 11,174 | 375 | %%
% make all DMD functions available to this code
% includere il servo shutter. cosi' da evitare bleached
% make a "nice" interface?
% where all the procedures are in a separate button, parameters in separate
% boxes, and the acquisition and others data displayed while acquiring...
% tmp_folder = 'D:\tmp\'... |
9d12b66c4d13f60f42ac5999fc0c26f8e1b4bcde3e5b19290aeb81274000d53d | MATLAB | 11,179 | 275 | function Lt_Rt_Pattern1_and_CV__W3_Touch20201208
path=['C:\Users\C238\Desktop\touchcellLtRt_Hirokane'];
cd(path);
LS=ls;
PositiveTouchesPointArray=zeros(1,6);
FRCVLPWTouches=[];
FRCVRPWTouches=[];
for i=1:length(LS(:,1))
TrimFolder=strtrim(LS(i,:));
if ~strcmp(TrimFolder,'.') && ~strcmp(TrimFolder,... |
15056733a69a6d97fba262587689fa0f084744acc52ea73c2ecb9c217a99bd3b | MATLAB | 11,180 | 275 | function Lt_Rt_Pattern1_and_CV__W3_Touch20200306
path=['C:\Users\C238\Desktop\touchcellLtRt_terashita'];
cd(path);
LS=ls;
PositiveTouchesPointArray=zeros(1,6);
FRCVLPWTouches=[];
FRCVRPWTouches=[];
for i=1:length(LS(:,1))
TrimFolder=strtrim(LS(i,:));
if ~strcmp(TrimFolder,'.') && ~strcmp(TrimFolder... |
f3141349901130a4bf372c3f1a731de1060a2acfad01269a89d321540e2ce09f | MATLAB | 11,188 | 276 | function spike_res = spike_analysis(app)
%SPIKE_ANALYSIS Summary of this function goes here
% Detailed explanation goes here
MIN_CLUSTER=10;
calc_flag = true;
if ~isempty(app.spike_res)
spike_res = app.spike_res;
if (spike_res.analysis.sorting == app.chkbx_spike_sorting.Value) ...
&& isequal... |
fe530ff85e793d2a56a6f859c4e6980640fa905f77c8b768d02d27c14e5864d8 | MATLAB | 11,197 | 267 | function [grappaRecon_1DFFT, mOutGRAPPA] = performHostGRAPPArecon2D_RAMonly(twix_obj, counterStruct, nSliceNeighbours, combinePars)
%
% function [grappaRecon_1DFFT, mOutGRAPPA] = performHostGRAPPArecon2D_RAMonly(twix_obj, counterStruct, nSliceNeighbours, combinePars))
%
% Applies GRAPPA to the host data, which here is ... |
90a9fd2621e34247def737d8fa2a4582f349536ddbd1a1346c6a8cfe6fcbae0a | MATLAB | 11,202 | 285 | %Shinjini Kundu (c) 2018
%Complete leave-three-out cross-validation
function [accuracy, kappa, sensitivity, specificity, PLDAprojected, w] = PLDA_knn(X, labels, alpha, k, mode)
%This function performs classification in the discriminant subspace of the
%PLDA classifier
%inputs:
% ... |
f0c03dd8685c2be8c4372fd0c8639f27348dad9880251bf51a4fa3b12b6f7689 | MATLAB | 11,202 | 206 | function cifti_write(cifti, filename, varargin)
%function cifti_write(cifti, filename, option pairs...)
% Write a cifti file.
%
% Specifying "..., 'keepmetadata', true" leaves the file-level metadata as-is:
% if false or not specified, the 'Provenance' metadata value is moved to
% 'Paren... |
14e242c81829473e4725144b6bf096f0f72558e56a8b870bddc1b0d3ecbca522 | MATLAB | 11,203 | 335 | function FigureS6_neuronProp_afterChoice
parent='G:/Ishizu_data';
outPath='/Revise_ishizu/output/neuronProp_afterChoice2';
% hulistic parameter %
p_threshold = 1.0e-10;
figsaveTYPE='-dsvg';
%--------------------%
%% plot figure %%
% save folder setting %
% region = {'auditory','fof','mpfc'};
folder... |
91318198f23a92af6e33a96c68dc7eba51c15f4c22574547787804f85d85c141 | MATLAB | 11,249 | 223 | %% Save DATA: Neural Ensembles Features
% .mat file:
% Features_Ensemble
% Features_Condition
% .CSV file
% N-Ensembles,Dunns Index,RateOfTransitions,RateOfCycles,DominantEnsemble
% N SimpleCycles, N-ClosedCycles , N-OpenedCycles
% Ensemble i Rate,...
% Ensemble i Dominance=%NeuronsOccupance * Rate,...
func... |
8bf3165f053f386d8229c111f3444fec73ac2c1ba86bf3484594a424ac63d952 | MATLAB | 11,269 | 370 | function [y,t,optw,gs,C,confb95,yb] = ssvkernel(x,tin)
% [y,t,optw,gs,C,confb95,yb] = ssvkernel(x,t,W)
%
% Function `ssvkernel' returns an optimized kernel density estimate
% using a Gauss kernel function with bandwidths locally adapted to data.
%
% Examples:
% >> x = 0.5-0.5*log(rand(1,1e3)); t = linspace(0,3,500);
%... |
1d6935cf80210e01b7c50f2c6809b85b332ab83004e4843893d6ccc7bfea20d1 | MATLAB | 11,300 | 235 | function update_spike_axis(app, static)
%UPDATE_SPIKE_AXIS Summary of this function goes here
% Detailed explanation goes here
sel_cluster = find(strcmp(app.popup_cluster.Value,app.popup_cluster.Items));
int_idx = find(strcmp(app.popup_int_spike.Value,app.popup_int_spike.Items));
%data = app.data(app.settings.chan... |
03cf7444e72eebcab050e6f139873e8e80edf7aac0c0f0147a09fa472168bd36 | MATLAB | 11,305 | 236 | function update_spike_axis(app, static)
%UPDATE_SPIKE_AXIS Summary of this function goes here
% Detailed explanation goes here
sel_cluster = find(strcmp(app.popup_cluster.Value,app.popup_cluster.Items));
int_idx = find(strcmp(app.popup_int_spike.Value,app.popup_int_spike.Items));
%data = app.data(app.settings.chan... |
1aa7d7523f681a614ce199e27dc9628329dea73f8cc6e0770db3af722d129cbd | MATLAB | 11,326 | 205 | %Authors: Tatjana Schmitt & Simon Wadle, 2019-2023
% based on concepts published in Romero et al. (2019): Cellular and Widefield Imaging of Sound Frequency Organization in Primary and Higher Order Fields of the Mouse Auditory Cortex. Cerebral Cortex 30: 1603-1622
%requieres Matlab packages chronux_2_12 (info : ht... |
aaef1def971fb6bd37f98e5c0874b9d94e726bdc14276c8e6e5b26a1bd6aa3cb | MATLAB | 11,326 | 343 | ridx = nan(size(app.hb_res.t_events));
fs = 10000;
tmp_data = [x,zeros(1,3*fs)];
dur = 3*fs-1;
summ = zeros(fs*3,1);
for i = 1:length(app.hb_res.t_events)
ridx(i) = find(t_msna>=app.hb_res.t_events(i),1);
summ= summ+tmp_data(ridx(i):ridx(i)+dur)';
end
[b,a] = butter(4,5/5000,"low");
sumf = filtfilt(b,a,summ);
... |
d51c0b0692b54ba3930d9dddeb8d332c3b9a94df52f8312cf7bfcb56e444dac7 | MATLAB | 11,346 | 322 |
function [mshs] = computePMDFs(pathnamePhis,pathnameMSHS,SDrange,pmdfThresh)
% This function computes the PMDFs on the GM surface for all possible 10-2.5 combinations
% within the SDrange and save them as PMDFs.data and PMDFs.idx in the PMDFs folder
% within the specified head model folder. They are correctly scaled.... |
4580535e142e202393d01d77b1eb686c45da6ed7f7f1b333f386455b78031122 | MATLAB | 11,361 | 340 |
clear;
%Load directly the subjects
load('fMRI_Liege_2023.mat');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% 1 - Compute the Leading Eigenvectors from the BOLD datasets
disp('Processing the eigenvectors from BOLD data')
% Load here the BOLD data (which may be in different formats)
% Here the BOLD time... |
fc43e317b60cdce2e93bb868aa0be00fb901a1ec921a655505b87ee92f07e294 | MATLAB | 11,364 | 323 | classdef (Hidden) file_writer < handle
%
% Class:
% adi.file_writer
%
% See Also:
% ---------
% adi.channel_writer
%
%
% SDK Calls:
% ----------
% adi.sdk.commitFile
% adi.sdk.closeWriter
% adi.sdk.addComment
% adi.sdk.deleteComment
%... |
1f14d45dd9a79b81fc6ad34b5b9cad03f6285a0123abc986f86e833b079677fb | MATLAB | 11,374 | 238 | function reconPars = getDefaultReconPars(computeRAMlevel,B0_fieldStrength_Tesla, sequenceType)
% function reconPars = getDefaultReconPars(computeRAMlevel,B0_fieldStrength_Tesla, sequenceType)
%
% Gets the default set of reconstruction parameters
reconPars.rawDataFile = '';
% 'rawDataFile' - this is the filename for ... |
82b7c89ab5f94c754d6b2c70942f1ca54575622b4e120a1c1ba4419d190928b6 | MATLAB | 11,374 | 276 | function spike_res = spike_analysis(app)
%SPIKE_ANALYSIS Summary of this function goes here
% Detailed explanation goes here
MIN_CLUSTER=10;
calc_flag = true;
if ~isempty(app.spike_res)
spike_res = app.spike_res;
if (spike_res.analysis.sorting == app.chkbx_spike_sorting.Value) ...
&& isequal... |
7d350dc5b38e5a24eaa2aa9ddc184596367d40d0f1d5cbab9cc574721c93f978 | MATLAB | 11,409 | 368 | function processSession_decoding_multPopSizes(inputFileName,outputFileName,dataDir)
%% Decoding - training and testing in the same window
%% load data
wheel=struct; % to prevent matlab func issue
load(fullfile(dataDir,inputFileName))
%% pre-process data - classify trials by behavioural state
% remove any trials ... |
c61697e0ea6a57ea7a08aefc60649cd6eba65bc85a8c765f3259b193474f6efb | MATLAB | 11,428 | 219 | % Raster plot of sensory-evoked activity
% Corrrect trial
% Chang et al., Figure 1f
% Load data
load('E:\seFilePaths_SiProbe'); % File paths for MSessionExplorers
load('E:\CM_NeuralActivity_Analysis\Unit_quality_metrics\filter'); % Unit quality filter
load('E:\CM_NeuralActivity_Analysis\ROC\tHit_tCR_selectivit... |
9da2edc907b1197c57c206e86849dc6512a676f322b322e69bac77c466b424b0 | MATLAB | 11,439 | 273 | % Response analysis of intracellular PN data recorded by Liza Bessonova
% Two conditions: Before serotonin application
% and After serotonin application
clear
close all
clc
load Liza_all_data_psth.mat
% Image the raw data
figure;
f = [50 70];
k= [71 90];
l = [0 49]
h =[91 200]
d=[-3 -3];
color = customcolormap([0 1],... |
4311947b7b010b1d83bac41379e9111238db8a0f96a4991debba7f7c84f7dc90 | MATLAB | 11,467 | 348 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%p = 0.001
%Each epoch, predict the prior, sensory and choice... |
82462127e3b6dddb9273195eced2672cd337e300869f6a2022de1fd03f9dbd97 | MATLAB | 11,476 | 299 | % 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 (legacy)
OnlyEyesOpen = true; % only used eyes-open trial... |
b23a8a38229ad8af2d29cad4b8b595dc88832e93b38c24d4d45f8871763d63b9 | MATLAB | 11,508 | 310 | function CTparameters = get_celltype_parameters_function(path, file, exp_id)
cd(path)
mkdir cell_type_parameters
selected_dir = 'cell_type_parameters';
spike_clusters = readNPY('spike_clusters.npy');
spike_times = readNPY('spike_times.npy');
w = tdfread('cluster_info.tsv');
if ~exist("file", "var")
if isfile('tem... |
5d0b1e520595ad19c01595c6fe754c7e7c9bd7c2455cda65f49cfb28fa9ea036 | MATLAB | 11,515 | 357 | %{
----------------------------------------------------------------------------
%Stimulus bias changes by block
%Just model analysis
%Based on Rao 2010 Front Comp Neurosci
%Value updating + Prior updating
----------------------------------------------------------------------------
%}
function [ave_likeli,BIC_... |
ef514a1f21c15ff490acdd184c1f693ef4405f4bd1c5d6784aa105bf36557807 | MATLAB | 11,521 | 357 | %{
----------------------------------------------------------------------------
%Stimulus bias changes by block
%Just model analysis
%Based on Rao 2010 Front Comp Neurosci
%Value updating + Prior updating
----------------------------------------------------------------------------
%}
function [ave_likeli,BIC_... |
06eaa824f10e1fa9db8f1fde0bca78f982679ed89d62a0a62fea35a34d302ab7 | MATLAB | 11,525 | 294 | function [Dimension]=mnl_EvaluateNoisePerNDimensions(maxDim)
%Function to estimate the noise generated per cell.
%Fixed Variables
NumPoints=50;
Spreads=[0.1 0.2 0.5 1 2 4 6 8];
NoiseValues=0:0.01:1; %I'm goingto add the noise up to 25%
szSp=size(Spreads);
szN=size(NoiseValues,2);
%% Generate Poission Distributions Fo... |
274d83fa01fe0ef8c22d656f75077370b3a9b901bb773a927e767c226345ff09 | MATLAB | 11,528 | 371 | clear,clc
% close all
load('89_PNs_array_data.mat')
fnames = {'hex10','hex','iaa','two_oct','hxa','two_hep','ani','hex01',...
'msal','lcar','euc','gua','chex','bza','ger','etha',...
'apin','one_oc3','neem','gar','cit','lin'};
odors = fnames ;
all_on = [];
all_off = [];
all_onoff = [];
close all
for... |
5f1cfe5746710698ec0912dc2639019bd04cda2fff41e1c25c700883c512cdd2 | MATLAB | 11,529 | 395 | function processSession_popAnalysis(inputFileName,outputFileName,dataDir)
load(fullfile(dataDir,inputFileName))
%% process trials
% filter trials to the ones we want to analyse and sort according to
% behavioural state
% exclude any trials that did not run for appropriate time (sometime 1st
% trial)
trialDur = 1;
t... |
8171c677b37c744359da950a6d2b2aadc090d185256fc4effd1244963b1d0a1a | MATLAB | 11,532 | 366 | cd ~/Dropbox/Projet_Gaetan/Sequence/'NatureCom 2'/AlphaSynapses/Alpha_Synapses/
tau_list=[0.01,0.1,0.5,1,5,10,15,20,25,0];
pattern_list=[5, 10,15,20];
linescolor=['r','g','b','c','m','y','k'];
linestyle={'-','--','-o','-.','-*'}
kt=0;
figure(1);
hold on;
Final=zeros(length(tau_list),length(pattern_list));
S... |
71d84beb63db47c121e49e8d0520d471ef2826bf92703a6b62e3874622bca1d1 | MATLAB | 11,545 | 228 | clear all
close all
clc
constants;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Load data and build models
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
import_data;
build_models_met_PT;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
b3c50cd6157c7a8547605131141535d90b7d7e979c9f8d418749d0330fb5b51c | MATLAB | 11,552 | 269 | function recData = detectOneRecording(obj, hRec, fids, impTimes, impSites, siteThresh)
%DETECTONERECORDING Detect spikes in a single Recording
if nargin < 4
impTimes = [];
end
if nargin < 5
impSites = [];
end
if nargin < 6
siteThresh = [];
end
rawFid = fids(1);
... |
f2a84d9e6568f8854d832cddf3393f46e755e363d7aebc355791c054a407e9c1 | MATLAB | 11,577 | 334 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Before start of task
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%p = 0.001
-------------------------... |
fc1fa1d011b36b2273c20ee7f8b0d3ffdcc7b146639c03421b50d1d70c23a5a4 | MATLAB | 11,592 | 271 | % Script that gets the Network from Whole Raster
% Run after loading MAT file
% Input:
% R_Condition: Cell of Rasters
% MetaDataColocaliation: List of [+] & [-] Cells
% Outputs:
% Colored Raster
% CS files to get the Gephi Network
% Update .mat File
%%***************************************************************
... |
28f98164e06dae839b908d12c99a0e054059f6c510c1ec39f544f470e4f88a3d | MATLAB | 11,621 | 330 | classdef (Hidden) file < handle
%
% Class:
% adi.file
%
% ***** This object should be instantiated via adi.readFile *****
%
% This is the root class for a Labchart file. It holds meta
% data and classes with more meta data. The channel classes can
% be used to actually g... |
66efb53810c1222d6f0f583169a39233ca252161076220014a631c1bca72bca1 | MATLAB | 11,627 | 315 | function RLphase20191024
%¼àUFLtÌÔÌRtÌÊðp¢½\ª
%RLphase20190517©çÌÏX_F1000rɼ·Æ±ëjMaxÌlð¬æêÊÜÅÉÏXAqxgÏ·ðgíÈ¢æ¤Éµ½
global ...
ACresult ACresultW CCresultDrinkOn SpikeArray TurnMarkerTime RpegTouchallWon LpegTouchallWon...
RpNum LpNum CCre... |
bc33cb4a95f477a4a9e1094b5681f24e54577199a4eaebf73c2fecafa0157ca1 | MATLAB | 11,658 | 342 | function [fTrace]=mnl_DoubleCheckLongTraceConsistency_v3(Trace,lim,LengthThresh,Data,BkgMean,MaxValues,Scale,EuThresh)
%Function to assess the colour consistency of a trace and if it is too
%different find the point where to cut it
%Inputs
% Trace - the structure of the traces extracted from Neurolucida
% lim - the min... |
768a320695d25c6faa0dd2f152f8426af18307d880d1b2b68f4aad93194e6305 | MATLAB | 11,665 | 393 | %% %%%%%%%%%%%%%%%%%%
% assuming having the map "TT" from "calibrate_beads_sample.m"
% the fancy game of sreaching beads
if ~exist('TT')
load('D:\Users\Comedia\moro\06052019\TT.mat')
end
%%
% check if the cameras has been loaded yet
% delete(PCOcam);
% delete(BASLERcam);
% if ~exist('PCOcam'); end
% if ~... |
57a867e80ffdf5c41d7c8878c341d7b87922b8d7692693f9bb8b0b446e1150f2 | MATLAB | 11,679 | 327 | function [StdRLRTouch,StdRLRTouchDiff,StdLRLTouch,StdLRLTouchDiff,StdRLTouchInterval,StdLRLphase,StdRLRphase,StdLRLdiff,StdRLRdiff]=TouchVariance
global RpegTouchCell LpegTouchCell TurnMarkerTime OneTurnTime LRLphase RLRphase LRLbefore RLRbefore IntervalR IntervalL...
RatioAlikeLRL RatioAlikeRLR RatioBlike... |
b73a15118fdae01e47d6b4aa9d8edcfc335064aff62b34ca479a771f6c4279ac | MATLAB | 11,690 | 320 | function [S,Q] = genlouvain(B,limit,verbose,randord,randmove)
%GENLOUVAIN Louvain-like community detection, specified quality function.
% Version 2.0 (July 2014)
%
% [S,Q] = GENLOUVAIN(B) with matrix B implements a Louvain-like greedy
% community detection method using the modularity/quality matrix B that
... |
bfc8192d1e7820ed3a607de1c45d3e4d157142141cd74728d32be08eb4c4220a | MATLAB | 11,691 | 264 | function ecg_strip_viewer_standard_grid(data, fs, ch_names, ref_ch, t1_small, t2_small, Title)
t1_long = 0; % beginning of the long segment in seconds
t2_long = size(data, 2)/fs; % end of long segment in seconds
num_channels = size(data, 1); % number of channels
% select multichannel grid layout
switch num_channels
... |
c7b0617544c9fe37a54a6da039ad105c56df4acfe15046a34fcf7e3c680d746a | MATLAB | 11,693 | 275 | function [subjects,opt] = run_spmup_bids(BIDS, subjects, varargin)
% SPMUP can be run using SPM batch mode but you can also analyze an entire
% fMRI BIDS dataset automatically using this function - it will unpack zip
% files, preprocess (despike, slice time, realign, smooth), QA (anat, fMRI),
% save the augmented regr... |
fd85c173a6e7cbfaf4892da0a4758e0b42a1a0b50496ad2865dd3646c82a78d8 | MATLAB | 11,710 | 378 | function [efPxTrace]=mnl_MeasureTheColourVariableOfCells_MagnitudeWeighted(efPxTrace,CellFigs)
%Functions to measure the accuracy of traces, the true grouping of the
%traces/fragments is mentioned in the SetId of the structure. And the
%colour distance is calculated from the weighted colour mean of the Set (NB weighted... |
45a25055535ac34fe263fac3b6f5d32d3fc2cb76539adcfcae8481324fb7f2a2 | MATLAB | 11,728 | 472 | function [c,imap,xm,ym] = dspCMap(map,ChanPos,varargin)
% dspCMap - Display topographic scalp maps
% ----------------------------------------
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
%
% Usage: dspCMap(map,ChanPos,CStep)
%
% map is the 1xN voltage map to... |
a36f7eed6b675f30706ba322b5492b688ac815d0f920df38521ac7fa360e45ae | MATLAB | 11,732 | 257 | % This program is intended to check statistics of motion artefacts on
% behaviorss
%
% Procedure
% %% 1. datapath to the 6 motions data
% %% 2. make list of the datasets
% %% 3. extract time series of motion artefact
% %% 4. make contract between two groups
% %% 5. preparation for visualization
% %% 6. Visualize the re... |
703b10fe936c91eb0cd7f7d6d9622d3824424a5a198e8bbe2e02fe9b35c12e2a | MATLAB | 11,748 | 345 | function [E, D] = pcamat(vectors, firstEig, lastEig, s_interactive, ...
s_verbose);
%PCAMAT - Calculates the pca for data
%
% [E, D] = pcamat(vectors, firstEig, lastEig, ...
% interactive, verbose);
%
% Calculates the PCA matrices for given data (row) vectors. Returns
% the eigenvector (E) ... |
e30943909446b74250fa5e8a157ff88f4e3d31b860a1c1c78005f8375feb462a | MATLAB | 11,758 | 259 | %% mean-field stuff. We use parameters andto estimate firing rates
%% NOTE! mean Vs are now autonomus from single cell simulations
% Input: C_EE,C_EI,C_IE,C_II connectivity matrices
% S_EE,S_EI,S_IE,S_II synaptic strength
% p_EEFail Synaptic failure prob
% lambda_E lambda_I LGN input
%... |
bb86990ae9fa142f587dc6e2f47be775035ebcaed71ddc515b46112edef9bbf2 | MATLAB | 11,760 | 338 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Before start of task
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%p = 0.001
-------------------------... |
d7a2142a2483c3c4ede79b24b28a6e8c1fbdfdf45ca7de98fa461eda0bf59022 | MATLAB | 11,760 | 258 | % This program is intended to check statistics of motion artefacts on
% behaviorss
%
% Procedure
% %% 1. datapath to the 6 motions data
% %% 2. make list of the datasets
% %% 3. extract time series of motion artefact
% %% 4. make contract between two groups
% %% 5. preparation for visualization
% %% 6. Visualize the re... |
66dbac4508367b69ca99dcaba0f9153e214bb55c3c54ced77635dc0d82829f0d | MATLAB | 11,761 | 266 | %% Neural distance
% For each session, trail-averaged tactile hit and tactile correct rejection were used to obtain the top three principal components
% via PCA.
% Activity for each tactile hit and correct rejection trial was projected onto the top-3 PC space.
% Distance was calculated for each pair of tactile hit... |
6cfcc89c8e4953367147063e4a6e1fd7a72df20913196d827c7b77e9c632d5a4 | MATLAB | 11,798 | 262 | %% MF+V for Pixels. E is divided into S and C cells
%% Input:
% N_PreSynPix within Pixel->Pixel connectivity matrix
% 3*3 Post(R)/Pre(C): S, C, I
% S
% C
% ... |
fb73efeacaafaf5c8354e61a7e8f4f9d9f13832d441f6d3d48d1711b1ac0195c | MATLAB | 11,803 | 306 | % this script calculates FWF in WM ROIs extracted using the atlas
% normalized to the subject's space
clearvars
close all
addpath(genpath('/storage/stella/MATLAB_toolboxes/'));
addpath('/storage/stella/Analysis/matlab_scripts/');
addpath('/storage/stella/Analysis/DTI_FreeWaterFraction_May2022/SCRIPTS_MATLAB/');
load(... |
75bf647a817226058ea29d267c934b62f6fe4511d6473424e8b52538d3492029 | MATLAB | 11,824 | 226 | % Automatic Denoise-Detrend&Deconvolution function
function [Features,SNRindx]=AutoThreeD()
[NV,NC]=size(SIGNALS);
ColumnNames={'Fluo_Dye','f_s','DetectedCells','Frames',...
'minSNR','minSkewness','TimeProcessing'};
disp('**************** +++[Processing]+++ *************************')
for i=1:NC
auxj=0;
... |
9e59408abdcf53a1fc1f934a33a93f84af231fb74a6c0a5420a47a7337dda9fe | MATLAB | 11,828 | 411 | %% male and female analysis
clear
clc
cd("I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\MALES_vs_FEMALES")
load("all_cells_PSTH.mat")
%%
all_psthT.mean_ramp = cellfun(@(x) x.mean, all_psthT.ramp, UniformOutput=false);
all_psthT.mean_ramp = cell2mat(all_psthT.mean_ramp);
all_psthT.sex = cellfun(@(x) x{1}... |
dc7a3042db0b69c9a1faab51e12b5df631d89def71a69512b7231a440cea133b | MATLAB | 11,848 | 333 | %{
----------------------------------------------------------------------------
Analyzing behavioral data
At least for the correct rate
----------------------------------------------------------------------------
%}
function FigureS1a_Dual_Full_psycho_analysis_230630_all_session
close all
analysis_folder = ... |
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