sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
097e04600d74b107fc19718cfe09b94de4a3e9ee2ccfaeddc7111977851a0110 | MATLAB | 10,445 | 176 |
clear all;
addpath('/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/Hopf_model/TBI_ON_Lesions_Hopf_mask1halfSD_bin_corr/outputs/Grange/');
addpath('/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/Hopf_model/TBI_ON_Lesions_Hopf_mask1halfSD_weight_corr/outputs/Grange/');
addpath('/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/Hopf_model... |
49f1e9030c97c0df692830bd8945f5b84c9eafcd844a7152f3f8fda8495d39dd | MATLAB | 10,473 | 238 | %% Two to One Electrode tunnels
% To be used with the AFR Computation scripts
% This program transplants the whole spike index over two electrodes if
% there is only one axon. This is to cut down on errors evolved from poor
% coupling of axon to electrode. Current allregion_unit_matched files have
% outputs from NMI, l... |
65d47a950b70ababa0ed75394ea090aa3ef381b52218f54927095ee7942ebbd7 | MATLAB | 10,474 | 367 | function [dat, map] = volplot(dat, sel, cscale, cmap)
% VOLPLOT make 2D or 3D plot of volumetric data (e.g. MRI)
% that is defined on a regular orthogonal grid
%
% volplot(dat, sel) or
% volplot(x, y, z, dat, sel)
% volplot(x, y, z, dat, sel, caxis)
%
% where sel is one of
% [x, y, z] intersection through the t... |
1f857fc71a7cd341cdb8fd92df8ce4be31c1095b6620e029fdd26a0d9e3f3295 | MATLAB | 10,495 | 275 | clear all
close all
load('../data/opt.mat')
global BBCI_PRINTER EEG_FIG_DIR
BBCI_PRINTER=1;
EEG_FIG_DIR=opt.figure_path;
for type = 1%1:numel(opt.epoch_type)
clear epos statIval
fprintf('Calculating ERP for %s epochs ...\n', opt.epoch_type{type})
%% load data
data_path = [opt.preprocessedData_... |
ff9488125311df1a163622798414b781becd55a33aef1f044044511373fda4b3 | MATLAB | 10,513 | 188 | %Plots example IED.
%2024/02/26
%% define directories:
root_dir=define_flicker_root_dir;
figures_dir=[root_dir '/stg-analyses/NatureComm2024-figures'];
metadata_tbl=readtable([root_dir '/FlickerStudyMetadata.xlsx'],'Sheet','Subjects','PreserveVariableNames',1);
metadata_tbl=metadata_tbl(:,{'Subject_ID','Subject_ID','... |
c45ad64b8da76b8d3d25eab3302eed77654c081ce5f8bb967c7736696da14dd0 | MATLAB | 10,561 | 289 |
if ss_str.run_f20_e3010_timesweep
data_dir = 'avalanches_code/data/fields20timesweep/';
% file prefix string: 20 fields, eps = -30, eta = 10
name_str = '_stim20e-30.0et10.0ph1.0p1.0';
dir_name_str ='timesweep_stim20_e30et10';
par_title_str = '20 fields, \epsilon = -30, \eta = 10, ';
% time... |
d349715d7b093015bf1a10bc94d6b8eabcf724bbc722bd3bc99382587729711f | MATLAB | 10,575 | 321 | % FindSynapse - find putatitve monosynaptic connections based on
% cross-correlograms
%
% USAGE
% [synLat,synStrZ,synStrR,bounds] = FindSynapse(cch,options)
%
% cch: a matrix of cross-correlograms in columns (expressed in number of events)
%
% Returns:
% synLat: two column vectors of synaptic latencies:
% ... |
f780a9eddd7d0ff708357167f8465ba1ab093bea6e03baf485376a66ad9c7547 | MATLAB | 10,578 | 411 | %% CLEAN
clear;close all;clc; %clean old residues
params.extract_databases = 0;
params.extract_pivot_table = 0;
params.export_png=1;
params.export_fig=1;
params.export_txt=1;
params.export_mat=1;
params.data_type = 'dff';
params.PEATS_binsize_ms = 100; %en ms
params.PEATS_x_tickfreq = .1; %1/10
%% FILTERING SEQ... |
1726e266282083c16b797e910d1e8ec80bea321c775a9583e9f7e0731bf29e58 | MATLAB | 10,579 | 380 | function BEH_analysis_regression(exp_name)
% to show plots for rebuttal
rebuttal = 0;
%load raw data
load(sprintf('BEHdata-%s.mat',exp_name),'BEHdata')
%load summary data
load(sprintf('BEHsummary-%s.mat',exp_name),'BEHsummary')
nS = length(BEHdata);
[nB,nT] = size([BEHdata(1).dec1]);
%% psychometric curve stay s... |
d9d879b08356168eb35c6ab48023bea8388450c61bde6b59f5f83c4b312a2da1 | MATLAB | 10,579 | 267 | %%
%% Create phys space plot with smoothing using methods
%% from the CMBHome software
%%
%% Todo: something seems wrong with the alt_heatmap
%% so original heatmap should be used for now
%%
%% Note: this is set to only use highres_spikes.csv from high_res_traj.m
%% use_hopper and use_laptop options are commented out. ... |
5469b06728a728f1a628398e291cb099f8af317d5239272f956fa415591d6195 | MATLAB | 10,627 | 275 | function [A1,b1,c1,A2,b2,c2,params] = make_Abc_interlace(signal,spatial_size,region_of_interest,options)
% [A1, b1, c1, A2, b2, c2] = make_Abc_interlace(signal, spatial_size, ...
% region_of_interest, options)
%
% Compute A, b, and c parameters for an interlaced 2D image. ... |
02054b5103dc9c581e916ff20393b339386a07ab8656b5437927dbe3399e193d | MATLAB | 10,635 | 309 | function handle=jicolorbar(loc,tit)
% JICOLORBAR Same as COLORBAR, but does not resize current axis. (JRI)
% JICOLORBAR('vert') appends a vertical color scale to the current
% axis. JICOLORBAR('horiz') appends a horizontal color scale.
%
% This is a modified version of an older Matlab COLORBAR function.
% ... |
baa30b002adc4cf5f1045f9f6df91f28c790fb16f342bca6dcbe73830db8765b | MATLAB | 10,665 | 231 | %% cameraCalibration.m
%
% This script assumes you followed a protocol for data acquisition as
% described in Huang et al. (https://doi.org/10.1038/Nmeth.2488), i.e. you
% recorded a stack of dark frames and a couple of stacks with uniform
% intensity at different intensity levels.
%
% The camera offset is est... |
472a0586a534e096a90b9df8b51b0546369491ec8a6b09ceddff16ae4d70969e | MATLAB | 10,695 | 441 |
%% Load data
binsize = 0.2; % bin size for population vectors, needs to be large
thSmooth = 2; % smoothing factor of population vectors
iso = 1; % set to 1 if need to re-run Isomap
load(fullfile('Data','SpikeData'));
load(fullfile('Data','BehavEpochs'));
[~, foldername, ~] = fileparts(pwd);
load(fullfile('Sleep',[... |
2fab8789839f206e6aef92d0a84a36b320380dbc4b6d949fb26c57386377287e | MATLAB | 10,703 | 251 | function output_variable=neuron_reconstruction(wholestack,to_be_added,source_variable,outputpath)
% wholestack: the recorded stacked
% to_be_added: the neurons to be added
% source_variable: neurons already tracked
% outputpath: outputfolder
figure
id_added(size(to_be_added,1),1)=0;
for i=1:size(to_be_added,1)... |
b9dc461cb9f60f062273ddd0705dcbda720fcc4eb75178d7857f583f3425e9e3 | MATLAB | 10,708 | 281 | % STATUS: analysis. For internal report.
%
% SYNTAX:
% plotAll_PSD_Welch_OldProbe(sbjNum)
%
% DESCRIPTION:
% plot estimate of power-spectral density for each channel. If axes are
% highlighted in red, it means this channel is rejected (didn't meet the
% SNR threshold).
%
% RESTRICTION:
% Only for sbj 08 and 10.
... |
c2d9b2426e0247ee3b1b48585a99843716c2c67dfe07d76c6a15721748edf603 | MATLAB | 10,726 | 267 | % Information calculation for population spike count and maximum likelihood
% estimator across phi, epsilon values.
n_neur = 128;
J_i = randn(n_neur/2, 1);
J_i = [-J_i ; J_i];
prob_s_fun = @(h, J1, eta1, eps1) 1./(1 + exp(eta1*J1*h + eps1));
%% Compute, for fixed eta, epsilon, J, h_MLE and SE_h_MLE as h_true vari... |
4695a56b5abbb0929800896c16b849f8163f17ee7181300322da05cd9841770d | MATLAB | 10,732 | 305 | function [mstruct, param,f] = defineModel(modelname)
%build structure mstruct, which contains the hard-coded parameters in this
%function according to string input modelname
if strcmp(modelname,'jointRL')
mstruct.modelname = 'Joint-action RL model with perseveration';
mstruct.modelshort = 'jointRL';
mstru... |
cfe344233288a44a679822c6a7b3e6a51cfc421e33e4f9eaa3f16a507d6cae87 | MATLAB | 10,757 | 329 | classdef acti < timeseries
%ACTI create actigraphy objects
%
% R = ACTI(DATA, 'Epoch', epochVal) returns an ACTI object
% containing the data in DATA. EPOCHVAL determines how many seconds
% one point stands for. Note that the EPOCH property is immutable.
% R = ACTI(..., 'StartTime'... |
a423a9fe7da88a5083fa495b224ca4fc5ebbefe9062469698bf5572cd677ad0e | MATLAB | 10,782 | 181 | classdef Analogout < Sharedmethods
% ANALOGOUT Digital-to-Analog conversion channel
% An Analogout is a channel through which an analog waveform is sent out to the "command" BNC of an amplifier channel.
% -------------------------------------------------------------------------------------------... |
4db1065776281635649a5aa219f727016e79a8ff82264c9701ac8006026e5054 | MATLAB | 10,807 | 425 |
%function Duszkiewicz2024_Figure_SynapticConnections
% This script reporoduces panels from:
% Figure 4, Extended Data Figure 2
% Dependencies:
% TStoolbox
%TODO: script dependencies, links to external functions
% Copyright (C) 2023 by Adrian Duszkiewicz and Adrien Peyrache
%
% This program is free software; you c... |
f70a94071535d51585bce4c3689902507d0515be2c62fddab5cf2083880facd4 | MATLAB | 10,822 | 267 | function [results, params] = prevalenceCore(a, P2, alpha)
% permutation-based prevalence inference using the minimum statistic, core
% implementation of the method proposed by Allefeld, Goergen and Haynes (2016)
%
% [results, params] = prevalenceCore(a, P2 = 1e6, alpha = 0.05)
%
% a: three-dimensional array... |
b4222a19589799209c9a38f84a6564ba26bec316097f27a9c6ef93a76e4bc300 | MATLAB | 10,840 | 301 | % This software can reformat animal recordings for use in simulations.
% Also statistics can be generated about the animal movements in the data.
%
% reference: https://www.mathworks.com/matlabcentral/answers/510528-transform-x-y-coordinate-to-angle
% run options
reformat_traj_data = 1; % choose to reformat data or l... |
413acdc3b90edf9d226a6ca083d7d405941c903f13aef6fa9eaccfe8c5dd71d4 | MATLAB | 10,873 | 413 | %% CLEAN
clear;close all;clc; %clean old residues
params.extract_databases = 0;
params.extract_pivot_table = 0;
params.export_png=0;
params.export_fig=0;
params.export_txt=0;
params.export_mat=1;
params.data_type = 'dff';
params.PEATS_binsize_ms = 100; %en ms
params.PEATS_x_tickfreq = .1; %1/10
%% FILTERING SEQ... |
44bac718cb872d8a2c1c4b233781cad711fe17c25665e7e481376f085492edda | MATLAB | 10,874 | 334 | function [w, args, log_posterior, wasted, saved] = smlr(X, Y, varargin)
% Trains a Sparse Multinomial Logistic Regression (SMLR) classifier.
%
% Usage:
%
% [W, ARGS, LP, WASTED, SAVED] = SMLR(X, Y, ...)
%
% Fits the Sparse Multinomial Logistic Regression (SMLR) model to a
% given dataset. Multinomial Logisti... |
099851634d3de9517e004c709831f8734a814ae709d5aab24893e71ba8f2af6a | MATLAB | 10,891 | 334 | %% Fig6A-D: plot HR/FA rates
clearvars; clc; close all;
saveFigs = 1;
addpath('.\functions\');
addpath(genpath('.\src\'));
datapaths;
load([BehPath,'\SalicylateBehaviorData_HitRates.mat']);
NMf = length(UMf); NMd = length(UMd); UMd = UMd'; UMf = UMf';
F = figure;
F.Units = "pixels";
F.Position = [1,1,13,11.2]./2.54.*... |
bda6c59e18196ad9a352d391db8fb7248fa948f5cd9319ad13be6923437b2ddf | MATLAB | 10,938 | 393 | % Arithmetic average of HRFs
% Light line color, plot ind HRFs
% Different processing for sbj 08 and 10 because they use old SD design and
% has both single and multi conditions
% new codes, ignore grpPlotHRF
function plotAllHRF_Grp_ChnCriteria(sbjGrp,criteriaOp)
if sbjGrp==1
% all
sbjList = {'08','12','13','... |
aa9949dba1317a617f86fca43cee6dec462db5604634d4729e781c55a95832ec | MATLAB | 10,986 | 321 | % von Mises Mixture Model for Random Dot Motion
% _
% This script performs a vMMM analysis for data from the RDM experiment.
%
% Author: Joram Soch, BCCN Berlin
% E-Mail: joram.soch@bccn-berlin.de
%
% First edit: 07/08/2018, 15:10 (V1)
% Last edit: 06/04/2020, 22:30 (V5)
clear
close all
% specify bias
bias = 'mo... |
037fd8bf1b5f24095d20dcf9b343a0798dc161319e2d802bb94d71f76b1bcc8c | MATLAB | 10,993 | 298 | classdef MeasListClass < FileLoadSaveClass
% Properties implementing the MeasList fields from the SNIRF spec
properties
sourceIndex
detectorIndex
wavelengthIndex
dataType
dataTypeLabel
dataTypeIndex % Used for condition when dataType=99999 ("Processed") and... |
1115bcf8409b7495f311575dfaf7f151032c7aa9b5cb8ae2e28132b64ca28015 | MATLAB | 11,000 | 241 | % all_results = prevalenceTDT(inputfilenames, P2 = 1e6, outputfilename = 'prevalence', alpha = 0.05, decoding_measure)
%
% This function is adapted from the original prevalence.m function from
% https://github.com/allefeld/prevalence-permutation/
% to perform permutation-based prevalence inference with TDT.
%
% See ... |
16fc97fe86ac7b563024e65940840786cf44e18f6ff20d34975bd09e9a175833 | MATLAB | 11,010 | 414 | %% Plot Figure 8
%% Clear workspace
clearvars;
close all;
%% Load data
load('Data/MaskOrt20220722T024B012_SpencerMod.mat');
% Add negative parts and remove 75deg
ti = ...
[1:sParmStim.BGnOrt-2,sParmStim.BGnOrt, ...
sParmStim.BGnOrt-2:-1:2];
tBGOrt = sParmStim.BGOrt(ti);
tBGnOrt = length(tBGOrt);
tBGnOrt90 = fi... |
88fcc454e6d727c45b496493e1696991152964a21b4ffcad66a2e4198019518e | MATLAB | 11,026 | 214 | % Inactive
% Plot HRF using outputs from scripting
% plotHRF.m plot HRF using outputs from group.mat from Homer3 GUI
% Completed
% This plot all conditions from one channel.
function plotHRF2(sbjNum)
figSaveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment' num2st... |
81dfea8d7a2983ed6d68ebb91408336d3578a031a6b49a6dd9dd4e386639f05d | MATLAB | 11,029 | 326 | function [errmsgs warnmsgs] = unit_create_xvalid_indices()
% [ERRMSGS WARNMSGS] = UNIT_CREATE_XVALID_INDICES()
%
% This is a script that tests CREATE_XVALID_INDICES.M. It
% does negative and positive tests on the selectors and
% the actives selectors.
%
% ERRMSGS = cell array holding the error strings
% describing an... |
1709bdf8802876b2ca0296585cbdc36f0fe7b77111d6a828ee84e4ffb9ae9ace | MATLAB | 11,047 | 410 |
%% parameters and data
binsize = 0.1; % Bin size in seconds
rng = 10; %Range of CCG in seconds
sdSmooth1 = 1; % smoothing kernel of MUA, ideally std = binsize
sdSmooth2 = 1; % smoothing kernel of spike trains, ideally std ~ 150 ms
load(fullfile('Data','SpikeData'),'S');
load(fullfile('Data','BehavEpochs'));
[~, fold... |
b53d001056bcfd0304287e7c40ad45f997c8f17047f0e0b85df06421ca6d1ced | MATLAB | 11,072 | 305 | % weight distribution designer with no preferred direction biases
%
% references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/4... |
fee096115ebbc464a011d7307822ac7a495507c522c4dd0c66fae60159265c30 | MATLAB | 11,073 | 331 | function [conduction_time,max_area,direction,num_peaks,total_bins,overlap_bins, total_spikes, overlap_spikes]=...
sum_area_nonpeakstest_210707(bincountvec, bincount_ISI,bar_graph,max_fb_locs,max_ff_locs,max_pk_fb,max_pk_ff)
% Find feed forward and feedback peaks
% Assumes even number of elements in bincount vec an... |
14ae7dd52323865463a1eeb4baa1825b380f0e560b9d450e05ed208957b62be9 | MATLAB | 11,078 | 178 | % GLM1 Estimate Mean Grid Orientation:
% This script will produce two beta values corresponding to the brain
% activity modulated by the sin and the cos of the trajectories that
% participants are performing.
% 4-Fold crossvalidation: iterate 4 times and use 3 partitions (2 runs
% each) out of 4 to estimate the grid or... |
3671641b7672b8b9c5b268870e430a60238e4330ca0657a5df80b481fe13cf6d | MATLAB | 11,083 | 293 | % config
%
% Descriptions tba
%
% $Author: Peng Li, Ph.D.
% Division of Sleep Medicine, Brigham & Women's Hospital
% Division of Sleep Medicine, Harvard Medical School
% $Date: April 07, 2020
%
% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++... |
9c95b1d59ae349a1f5ebb7537ce926ae1ec252fca5f02f1def27d5ad283025a8 | MATLAB | 11,093 | 374 | function simulateBehavior(models,paratype,fbtype,nSubjects)
% input parameter
% - models
% - paratype (
% empprior = parameters drawn from empirical prior distributions
% random = drawn from random (=uniform) distributions
% fitted = drawn from behavioral data
% - fbtype (
% value = magnit... |
21462fa91a678b4978266066d72425e7e338821a039c19a9212ced9b1dccc10a | MATLAB | 11,099 | 410 |
%% parameters and data
binsize = 0.1; % Bin size in seconds
rng = 10; %Range of CCG in seconds
sdSmooth1 = 1; % smoothing kernel of MUA, ideally std = binsize
sdSmooth2 = 1; % smoothing kernel of spike trains, ideally std ~ 150 ms
load(fullfile('Data','SpikeData'),'S');
load(fullfile('Data','BehavEpochs'));
[~, fold... |
f1c081f8e6299f6083207de143ab9cc2d475dfadecd36d40b2d9790a7405124c | MATLAB | 11,124 | 262 | function varargout = FileDataGUI(varargin)
% FILEDATAGUI MATLAB code for FileDataGUI.fig
% FILEDATAGUI, by itself, creates a new FILEDATAGUI or raises the existing
% singleton*.
%
% H = FILEDATAGUI returns the handle to a new FILEDATAGUI or the handle to
% the existing singleton*.
%
% FILEDATAG... |
96fceac4905b54a48e061e86f38b7fe3f5d57e2017769a73cbad66636116c3d8 | MATLAB | 11,159 | 364 | function [errmsgs warnmsgs] = unit_interpret_weights()
% [ERRMSGS WARNMSGS] = UNIT_INTERPRET_WEIGHTS()
%
% Creates a really simple dataset, runs multiple
% cross_validations with BP on it, and then checks that
% interpret weights gives roughly the right output. This
% isn't a complete set of checks, but should pick up... |
4ebc00ceb2a2428cd5b0701f0aad78e38162e1e32bfb7f9f358228abf997165b | MATLAB | 11,165 | 311 | function [ hfig ] = FieldSynthesisInteractive( mask, doshift, lineProfile )
%FieldSynthesisInteractive Create an interactive line scan demonstration of
%field synthesis
%
% INPUT
% mask - mask at the pupil, which is the Fourier transform of electrical
% field at the focal plane. zeroth frequency should be ... |
ea6ad8d86dbbe08aafc41505328877c27aeb404c4c8ad5c8c04873e0f259127f | MATLAB | 11,166 | 308 | %This script combines and averages multiple anlyses of multiple mice
%run the PLR_analysis_individual script first
%file per mouse
clear; clc; close all;
%% set parameters
run = 4; %run number to plot later
nThree = 1; %set to 1 for three conditions, 0 for 2 conditions
%%Load individually analyzed files f... |
d0d7843deae3861dde81b07463c9279a51ca85034feeb69da296fa596d8da5ce | MATLAB | 11,172 | 176 | % Netlab Toolbox
% Version 3.3.1 18-Jun-2004
%
% conffig - Display a confusion matrix.
% confmat - Compute a confusion matrix.
% conjgrad - Conjugate gradients optimization.
% consist - Check that arguments are consistent.
% convertoldnet- Convert pre-2.3 release MLP and MDN nets to new format
% datread ... |
8171c812f24e831738e0c5b57672fb3c8d73c0c5558a5e7d077e4cc245165134 | MATLAB | 11,173 | 292 | %This script scans an patterns OCT Volume. Uses multiple depths to extend depth of focus
%I assume that prior to running this script, user placed focuse at the top
%of the tissue.
%Pre
if (~isRunningOnJenkins())
clear;
end
currentFileFolder = [fileparts(mfilename('fullpath')) '\'];
%% Inputs
outputFolder... |
621cb87d6d1bf8f0471a21046c7be607fe91dcbd56b660ac86b3d1fbbb78a0b8 | MATLAB | 11,190 | 358 | classdef StringsClass < handle
properties
c
status
end
methods
% ------------------------------------------------------
function obj = StringsClass(arg)
obj.status = 0;
if nargin==0
obj.c = {};
return;
... |
efec243ccba20305715b4c7fcc2badc714133d70da628ef7111cbd54d1284d83 | MATLAB | 11,191 | 408 | function varargout = ExportDataGUI(varargin)
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @ExportDataGUI_OpeningFcn, ...
'gui_OutputFcn', @ExportDataGUI_OutputFcn, ...
... |
9ebda948f7522bd64acc10e0be22c7c8491fdb362d6fb362151bf362b25ae586 | MATLAB | 11,209 | 238 | function this = sleepDet(this)
%SLEEPDET Perform sleep detection on an ACTI object
%
% $Author: Peng Li
% $Date: Dec 02, 2020
% $Modif.: May 17, 2021
% generate window from doMask2 instead of recalculate based
% on mask series
% Jun 24, 2021
% see comme... |
b8b18e286a550556eed9fb747edddc7d32b646577f8ff18699f9815fa0c2a172 | MATLAB | 11,220 | 389 | % Probability Tuning curves
clear; clc; close all
[task_info, supPath ,~,task_DB_path] = loadDBAndSpecifyDataPaths('Vermis');
req_params = reqParamsEffectSize("pursuit");
raster_params.align_to = 'targetMovementOnset';
raster_params.time_before = 399;
raster_params.time_after = 800;
raster_params.smoothing_margins = ... |
fd3eba0d42828006f5dc29ece14a4477623ac6c05e423de4e5e9a094d2fb02bf | MATLAB | 11,232 | 195 | %% Extended Data Fig. 5j: Avgerage pre- and post-stim propagative event frequency
% in neighboring astrocytes split by "low" and "high" baseline propagation probability
% Modified from PropEvtFreq_SplitLowHighBLProp_MC20231030.m
%
% 1. Load 'AQuA_CytoGCaMP_2Puncaging_WTCx43CBX_Fig2_3.mat' workspace
% 2. Run t... |
f4f1c9f1e565adaf0bbf9e52a7df52e1cf3d42fafa817b1cea18340d5257b447 | MATLAB | 11,243 | 278 | function [err, ErrMessage, Info] = CheckBrikHEAD (Info)
%
% [err, ErrMessage, InfoOut] = CheckBrikHEAD (Info)
%
%Purpose:
% Checks to determine if the fields in Info are appropriate AFNI style
%
%
%Input Parameters:
% Info is a structure containing all the Header fields,
%
%
%Output Parameters:
% e... |
e3b48389d3f7b332ff1226de92ac2b596cb0f3f3c37b4b7ed8f9763a6e132518 | MATLAB | 11,280 | 235 | % example script
close all, clear all
%% 1a. Set base paths
% specify which folder the Morphys directories are placed
% MAC USERS WILL NEED TO CHANGE SLASHES!!!
dir_base = 'C:\Users\Thijs\Documents';
%% 1b. Send Matlab to correct folder
dir_oop = fullfile(dir_base,'Morphys','Code','Matlab','Abfanalysis');
cd(dir_oop)... |
cd298a96e601d06240d43182e83974e0e15f8c7626ce8d601bc12635be16719e | MATLAB | 11,281 | 407 | %% Analyze experimental IR-TFE data (MRF style experiment)
addpath(genpath('EPGX-src'))
addpath(genpath('lib'))
%% Load in data
% Contains im1 = calibration experiment, a series of echoes made with
% increasing flip angles with a large gap in between. Fit this to
% M0sin(alpha*tx) where tx = transmit sensitivity, M0 ... |
1e43e662d8d41b2770053d61d4451744fbc91e6d44a8ca618905c7a98699aff1 | MATLAB | 11,282 | 371 | clear
[task_info,supPath,MaestroPath] =...
loadDBAndSpecifyDataPaths('Vermis');
PLOT_INDIVIDUAL = 0;
ANGLES = [0,90];
NUM_COND = 20;
req_params.remove_repeats = 0;
req_params.grade = 7;
req_params.cell_type = 'CRB|PC ss';
req_params.task = 'choice';
req_params.ID = 4000:5845;
req_params.num_trials = 150;
req_param... |
438ad9980203d9b4986a4114bdeb2c1cfb75b7ba062ce545a8c682c519701053 | MATLAB | 11,282 | 371 | clear
[task_info,supPath,MaestroPath] =...
loadDBAndSpecifyDataPaths('Vermis');
PLOT_INDIVIDUAL = 0;
ANGLES = [0,90];
NUM_COND = 20;
req_params.remove_repeats = 0;
req_params.grade = 7;
req_params.cell_type = 'CRB|PC ss';
req_params.task = 'choice';
req_params.ID = 4000:6000;
req_params.num_trials = 150;
req_param... |
f7e8eb1f67a8e51ac91ead6ebed748f3610a235dabdb300f9303c741334ea6e9 | MATLAB | 11,311 | 197 | function [FigPl, FigHst, statsOut] = Figure3HistogramsAndSummaryPlots(Res,varargin)
% New function for MS, just produces plots and stats for figure 3, nothing extra whatsoever.
% - This is the template code for name-value list OR struct passing of parameters -- %
if ~isempty(varargin) ... |
a3dce1ea33f8f97210d8b577a397725646ff470e04b67f16810e8b852795edb7 | MATLAB | 11,312 | 207 | function z = sandwich4x4(x, y)
% SANDWICH4X4 compute x*y*x' provided y is Hermitian and dimensionality is
% 4x4xN, or Nx4x4. If N==4 it is treated as Nx4x4
% Copyright (C) 2017, Donders Centre for Cognitive Neuroimaging, Nijmegen, NL
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the do... |
fdc933d4a37038d73f1437e86dde606353e21de424e43029edffc02787aabb9c | MATLAB | 11,312 | 302 | function prepare_tdt_compiler
% This function can be added to your script that you want to compile if you
% want to make sure the Matlab compiler compiles all relevant files in TDT.
% It also contains details on how to compile. It is a workaround calling
% all relevant files in TDT once manually, which should invoke t... |
1ecbdcb01a73ada5ce1f42ea791b08086147be1757f8332d93c602a1a4515bf4 | MATLAB | 11,335 | 324 | function [OCTToHistologyTransformMatrix] = fineAlignUsingSurface(rOCT, imBF, markedline, fastmode, OCTToHistologyTransformInitialGuess)
%This functions aligns a resliced OCT image with a brightfield image,
%based on their segmented surfaces. It first segments out their respective
%surfaces and then aligns for trans... |
3c9cac3ed9e318209e927c1c79624b8781b49184ef52fd28db16ebec1411c7ab | MATLAB | 11,346 | 406 | function demprior(action);
%DEMPRIOR Demonstrate sampling from a multi-parameter Gaussian prior.
%
% Description
% This function plots the functions represented by a multi-layer
% perceptron network when the weights are set to values drawn from a
% Gaussian prior distribution. The parameters AW1, AB1 AW2 and AB2
% cont... |
0c795d81eea6b49ee72f343143277b80a3fb7541b18e6ae0b5a80c1d50eab324 | MATLAB | 11,350 | 316 | function this = exportReport(this, outputPath, varargin)
% EXPORTREPORT Generate a professional PDF report for actigraphy data
% exportReport(obj, outputFile) generates a PDF report at the specified path.
%
% Store to tempdir first and move to outputPath increase outputPath is
% synced to any third-party... |
df46482e408038b5fcfed87371c732e9a5ad05fa95036f4eb036f08c12bc8378 | MATLAB | 11,377 | 256 | function [status_params,dated_output_folder,NMI_version, folder_address, keep_times]=...
Wave_Clus_NMI_Func_211123(directory,scalingFactor,fs,duration,parent_dir,if_cw,skip_to,reuse_last_NMI)
% Reuse last NMI only works if skip_to is not 0, reduces redundancy, saves memory
%Change log starting 6/2/21
%added multi... |
19498240ffce5c3315858c0cd332cfeb7cad8a9001d942a0ac7fbbffc87d8744 | MATLAB | 11,384 | 301 | addpath('\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\BasicFunctions');
BCTypelabels = {'BC5o', 'BC5i', 'BC5t', 'XBC', 'BC6', 'BC7', 'BC89'};
BCTypes = [50 51 57 58 6 7 89];
nType = length(BCTypes);
SpotSize = [1 2];% small (1) and large (2)
SpotSizeLabel = {'Small', 'Large'};
NumSpotSize = length(Spo... |
7e8c4b1583f8c3eebcecb4842d72bb35f9631c0211cf59f533cb0bc2094f6350 | MATLAB | 11,399 | 319 | % references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/430093-rotation-about-a-point
% run options
sample_matrix = 0;
write... |
ba5b6e5d57198ac47c9c99cc9385ed893145f020ebb61d9d0b505a2797af70c5 | MATLAB | 11,430 | 316 | % util unit test
%
% mv_calculate_performance
% check the different metrics with predefined clabel and cf outputs
tol = 10e-10;
mf = mfilename;
% mv_calculate_performance(metric, output_type, cf_output, clabel, dim)
% number of instances in classes 1, 2 and 3
N1 = 100;
N2 = 200;
N3 = 300;
%% --- CLASSIFICATION MET... |
e3e9b2275bfc3e4c9e89c19574e569d1f77aeb4b8c4f98f9be467c53df0f93a1 | MATLAB | 11,437 | 264 | % split into single and multi groups.
% new. Use trials from dcNew var
% Use different method of concatenating to validate the code in
% calcCumSumUpdateDCNew.m
% work for all sbj 08-16
function calcSlopeValue_AllChns(sbjNum,numClasses,saveOp)
% channels pruned stored in mlActAuto var
processedDataDir = ['C:\Users\mn0... |
1286e03e43fd3b4c49522b14a33b8ac1ab104ef39c9557768b47a2e2893b77ca | MATLAB | 11,445 | 391 | function D = tsss_spm_enm(S)
% Perform tSSS on rawdata file 'infile' acquired with an Elekta Neuromag
% 306-channel MEG system. The tSSS-processed data are written into 'outfile'.
% The SSS operation is performed in the head coordinate system with the
% expansion origin given by the 3x1 dimensional vector 'r_sphere' ([... |
ce4667935b56e0382b1e49ab164ede9fd4c0aed71a748e751f46c5ab74303d99 | MATLAB | 11,446 | 314 | % 1. Add the path of the current script to the search path
% 2. Change the current folder to "Fig8 PF x tactile interaction"
% 3. Using ctrl+enter within each function to run each section
%% Section 1: open files
% ctrl+enter to run this section
clear
co=lines;
co(6,:)=[.5 .5 .5];
[gc]=grad_co;
co(3,:)=gc(... |
aa575ab0e8896ed972fbca465bab4e1bb0c7d558d0980ef5d484ad459a9a62ea | MATLAB | 11,472 | 249 | clc
clear
cd 'G:\Fiber_Photometry\2023-62_D1flp-D2cre_D2GLUN2B_mPFC\2023-62_PAVLOV_FR_RL\RESULTS_2023-62_RL1_1sec__bsl_indiv_-3k_-05k'
%A=load('CS_C1.mat'); %load le fichier .mat d'un Event/Group (par exemple, si tri en Event/Group/Session)
%B=load('CS_DELTA.mat'); %idem pour groupe 2
%A=load('CS_IL... |
7a422b9dfd1531756f84100dd99f50530d61f785ff4926e7ffd307a3ce88566e | MATLAB | 11,474 | 293 | % STATUS: active.
%
% SYNTAX:
% preprocessFNIRS06_CV_GLM_ssBeta(s,numClasses,rejTrOp,rejChnOp,lpFilt)
%
% DESCRIPTION:
% Convert nirs to snirf file format, preprocess data and fit GLM to
% entire dataset. Used for plotAllHRFs.m
%
% RESTRICTION:
% Only for sbj 08 and 10.
%
% INPUTS:
% s - struct containing paramete... |
aa3d43e1fb2af3dd46c8a59cd7fef1aa1c731a83f877057c26a897c2a581c4f3 | MATLAB | 11,475 | 233 | classdef Spike2Setupsettings < Sharedmethods
%SETUPSETTINGS Setup configuration information
% This object contains all the information about the set-up configuration that is required to know what Analogout
% (DAC) channels are associated with what Analogin (ADC) channels. This object is used when creat... |
39ce93f042845905709027f58628799ae56b73be8a1ad744465dd3997cdb63a8 | MATLAB | 11,481 | 235 | function dicom2nifti_bids(p)
% function dicom2nifti_bids(p)
%
% Converts Dicom to Nifti images and stores them in a BIDS folder
% structure. Inside the function, specify a number of 'filter' strings that
% can be used to identify the appropriate files.
%
% Input:
% - p: Structure with analysis parameters, including ... |
b49c3bfce481f8dbcf6388185f0215c0e20b48e122d432eda1df2400cc8b91ca | MATLAB | 11,484 | 332 | % 1. Add the path of the current script to the search path
% 2. Change the current folder to "Fig3 and Supp Fig2 PFstimulation_plasticity\probability"
% 3. analyze the data within the folder of "Fig3 and Supp Fig2 PFstimulation_plasticity\probability"
% 4. Using ctrl+enter within each function to run each section
... |
51d12b3854f4b4e4aee32ed0a96d68a15c085b046f2754078011a07b228f6cc6 | MATLAB | 11,503 | 436 | % Filename : eegprocessor.m
% Author : Andreas Seas
% Created : 17-11-2021
% Edited : 21-11-2021
% Descr : ***
% *** means fix me
%% clear slate
close all;clear;clc
%% Set up Workspace
disp("Set Up Workspace");
homedir=pwd;
addpath(genpath('C:\Users\as822\Box\PST Project'));
addpath(genpath(... |
85aa367e750ba799db8e6c5d8c19d9bb3b60e497cf736012901a8a5669866080 | MATLAB | 11,515 | 272 | function [cfg, clabel, n_classes,n_metrics, clabel2] = mv_check_inputs(cfg, X, clabel, X2, clabel2)
% Performs some sanity checks and sets some defaults for input parameters
% cfg, X, and y.
% Also checks whether external toolboxes (LIBSVM and LIBLINEAR) are
% available if required.
if ~iscell(cfg.metric)
cfg.met... |
af934d9902dfa6c84c32206431145a2c46dacd8696566a7f013705d63b4a772b | MATLAB | 11,542 | 249 | function [areas,total_bins,overlap_bins, total_area, overlap_area]=...
spike_flagging_single_211108...
(spon,spon_dir,times_struct_spon,spon_duration,parent_dir,if_cw)
% Testing peak finding capabilities across multiple units for elimination
% of zeros
% Ensure status and tunnel pairs are loaded spon and post s... |
9353815efc8db158fa5648cf8545e3530c88537f6f4079a25bea1dd1dcc2c46e | MATLAB | 11,543 | 393 | %% SfN19
load('Data/20220921_OriPop_RTmasked_reduced.mat');
DecCfg = load('Data/M21D20180720_Orimask_OriMask_dx_detrend.mat', 'DecCfg');
DecCfg = DecCfg.DecCfg;
GABFILE = imread('Data/GaborZ0084W0100O00000P00000.bmp');
GRATFILE = imread('Data/CSGZ0700S0200O00000P00000.bmp');
GABSTIM = 127*ones(201,201);
G... |
e561ee2d25f17498aee0f35bffd49329c29df381c500c25d8d695fa1d691ad6b | MATLAB | 11,543 | 172 | % GLM2 Test mean grid orientation:
% This script will test the mean grid orientatio based on the paramtrci
% modulation approach. The computed phase is used to re-align the angles'
% trajectories of the experiment to each participant mean grid orientation
%% Set up the environment
clc
clear
restoredefaultpath
SPMPath... |
488ae2ddc5f9a43c71f53712071577a37e0b5cfbcf6025308263c1e01be8cefb | MATLAB | 11,562 | 393 | %% SfN19
load('Data/20220921_OriPop_RTmasked_reduced.mat');
DecCfg = load('Data/M21D20180720_Orimask_OriMask_dx_detrend.mat', 'DecCfg');
DecCfg = DecCfg.DecCfg;
GABFILE = imread('Data/GaborZ0084W0100O00000P00000.bmp');
GRATFILE = imread('Data/CSGZ0700S0200O00000P00000.bmp');
GABSTIM = 127*ones(201,201);
G... |
d8a0ab5905ee088562f6dfa82542e343a18c66abaaeb383be0c1aca4b21d0c64 | MATLAB | 11,594 | 456 | % This script reporoduces panels from:
% Extended Data Figure 1
% Run in folder A6216-210623 to reproduce the manuscript figure
% Dependencies:
% TStoolbox
%TODO: script dependencies, links to external functions
% Copyright (C) 2023 by Adrian Duszkiewicz and Adrien Peyrache
%
% This program is free software; you c... |
83975a7bf656ecc543df52cc1f82c7c14349cfde661de05c55e72a7f58cdf06e | MATLAB | 11,603 | 303 | % config
%
% Descriptions tba
%
% $Author: Peng Li, Ph.D.
% Division of Sleep Medicine, Brigham & Women's Hospital
% Division of Sleep Medicine, Harvard Medical School
% $Date: April 07, 2020
% $Modif.: Mar 10, 2026
% Fix a bug (instead o... |
cb606851c39406fe1b5f44b695c1e0aeb0f385af59b8f9dc5cef35833564be0b | MATLAB | 11,611 | 403 | function [] = summarize(subj,varargin)
% Prints info about the contents of the subj structure
%
% [] = summarize(subj,...)
%
% SUMMARIZE(SUBJ) will give you a high-level summary of all the
% objects contained, including group members. It's
% much more informative than just typing 'subj'.
%
% DISPLAY_GROUPS (optional, ... |
4be4c10c3915bb3ba51b453a86727dba6c61fa7f44f8997235658eb5eb08d835 | MATLAB | 11,622 | 315 | function remove_and_add_neurons(data, neurons_cleaning, outputpath, inversion)
% click on a neuron to delete it and then click on save to permanently
% remove it from the sets of tracked spots
% click on button to add neuron and then save to check the resulting track
addpath('./Functions/');
%% GUI Initializa... |
d8d9aebfb14529fed8ecca85db0d6b61e069d591b269b8d811d2311261c9e357 | MATLAB | 11,632 | 336 | function [raw_signals, deinterleaved_signals] = open_doric(filepath,s)
%% argument to enable the plot of debug figures
debug = s.debug;
%% PARAMETERS START
%remove artifacts from chuncks
artifact_th_high = 10; % MAD
artifact_th_low = 1; % MAD
%PARAMETERS STOP
%% LOAD DORIC DATA
[header, data] = load_doric_csv(filepa... |
a184ab34862b719e4021f5a918e29ce54661f62314628bcb76bb9b53c2fc1469 | MATLAB | 11,633 | 395 | % Arithmetic average of HRFs
% Light line color, plot ind HRFs
% Different processing for sbj 08 and 10 because they use old SD design and
% has both single and multi conditions
% new codes, ignore grpPlotHRF
function plotAllHRF_Grp(sbjList)
figSaveDir = 'C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProj... |
b7fcd6e3e9c8712e7a06721440a8bcd905ee9d8ce051885b32f47f1ee16aeca4 | MATLAB | 11,637 | 337 | % references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/430093-rotation-about-a-point
% run options
sample_matrix = 0;
write... |
3eeac2fd886e744c8f8527cbd8ec4f504517b49ad2a9b62059a81128236fc93b | MATLAB | 11,644 | 460 | function Duszkiewicz2024_Figure_SingleRec_Angled
% This script reporoduces panels from:
% Figure 1, Extended Data Figure 1
% Run in recording folder A3707-200317 (Dataset_1)
% Dependencies:
% TStoolbox
%TODO: script dependencies, links to external functions
% Copyright (C) 2023 by Adrian Duszkiewicz and Adrien Pey... |
ff406140b6a6c0a69bba2bf5c8d8d9f84974ecfe573110be7dfa62a3d69735f8 | MATLAB | 11,651 | 360 | function test_suite = test_copy_to_derivative %#ok<*STOUT>
try % assignment of 'localfunctions' is necessary in Matlab >= 2016
test_functions = localfunctions(); %#ok<*NASGU>
catch % no problem; early Matlab versions can use initTestSuite fine
end
initTestSuite;
end
function test_copy_to_derivative_unzip_f... |
00b05bc60831bae806c3b7006f27c4b76e069d8e7e3a897a1722ea34dcab7432 | MATLAB | 11,655 | 371 | %% Description errorb(x,y,varargin)
% errorb(Y,E) plots Y and draws an error bar at each element of Y. The
% error bar is a distance of E(i) above and below the curve so that each
% bar is symmetric and 2*E(i) long.
% If Y and E are a matrices, errob groups the bars produced by the elements
% in each row and plots the ... |
6bc67b5ea68d6d8a47aca20fac98a20b2ad2f551b53417586834b108f9523734 | MATLAB | 11,663 | 179 | function [XSecBinsPrePost_PermMean,XSecBinsChangeAvgBaseline_PermMean, XSecBinsChangeAvgBLPrePost_PermMean] = MeanFt_XSecStatBins_PermEventOnsetByRegion_NoLmk(mydata, CONDITION, TSERIES,...
time_window, ExcludeBaseline, perm_num, param_name, ExcludeRampingCells, RampingCellThresh, NBinsPre, NBinsPost)
% MeanFt_XS... |
1098700e2318ad9cbc56c3936734cd1631bfc0e476d96fc0adb0c42179cad172 | MATLAB | 11,690 | 369 | clear; close all; clc;
%%
% from RFMapping_RF_DiffEncoding_batch
% Goal: summary plot of Different encoding properties of individual BC to
% to exam if spatial information of noise play an role in heterogenous
% responses in the subcellular units
% FolderPath = '\\storage1.ris.wustl.edu\kerschensteinerd\Activ... |
26f8c6437a72a1b53d95d8609879babe7a4d361c7aee00fc19c6d0aa7f1b4aa7 | MATLAB | 11,730 | 359 | clear; close all; clc;
%%
CellStr = {'53018_2', '10119_4', '61018_1', '53018_1', '12019_7', ....
'10919_3', '11819_1', '12019_4', '122718_2', '10119_2', ....
'92418_2', '11019_3', '10519_3', '12119_3', '11919_1'};
CelFils = [ 1 9 1 3 3,...
16 3 4 4 4,...
3 3 9 4 9];
... |
506820fb1a75a78b26008ec01adffe813511ba8d898f2d67d1c1c09d82852112 | MATLAB | 11,746 | 244 | function [Res] = getShuffledSpatScores(DataIn, varargin)
% Spike shuffled thresholds for directionality for single rate maps.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Shuffling parameters %
prms.fastMode = 1; %... |
c9b5cdca3a4cd04b76cb4de47c75b03b6b7b5014215b0967130d6b1a58e4ea4f | MATLAB | 11,752 | 264 | function plot_MultiOnly_DiffStartT_AllChn_CompClassifiers_Final(sbjNum,numClasses,saveOp)
processedDataDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment' num2str(sbjNum)];
if numClasses == 2
savePerfFN = 'performanceLinearDiscriminantUpdated_LR.mat';
else
... |
8c27ccabadd89b3cfad1d97f83c2273a5b5e3cc50362584b45c6f8bd48571708 | MATLAB | 11,820 | 336 | % 1. Add the path of the current script to the search path
% 2. Change the current folder to "Fig3 and Supp Fig2 PFstimulation_plasticity\amplitude"
% 3. analyze the data within the folder of "Fig3 and Supp Fig2 PFstimulation_plasticity\amplitude"
% 4. Using ctrl+enter within each function to run each section
%% ... |
434df23a39dab5d3403260d3f9b0c0e05e659904f87e92af9b2b3faeff40d23f | MATLAB | 11,860 | 288 | function [K0new, K1new, K2new] = tuneVestibularSimultaneous(...
K0_0, K1_0, K2_0, B, I, S, ...
tts, head, target, E, P, conds, light, sines, R, RR_data)
% Mask free params
mask_learn = B.learn_mask_vest_eye_pc;
mask_tune = B.tune_mask_vest_eye_pc;
n_total = length(K1_0.Kb_eye_pc);
% Combine all JR's data in o... |
da414c538b0734bdf0cb18f826874ca7cf30e54e744c8bae4563023aeec31648 | MATLAB | 11,863 | 240 | classdef Setupsettings < Sharedmethods
%SETUPSETTINGS Setup configuration information
% This object contains all the information about the set-up configuration that is required to know what Analogout
% (DAC) channels are associated with what Analogin (ADC) channels. This object is used when creating Ab... |
2730d3b0d414388708089e7dbf72b7fa919646214347476ebc4d22cda8fd0fa3 | MATLAB | 11,866 | 321 | % Sensory Mapping Code
close all
clear
%% Load In Widefield Video
%Inputs
prompt ={'Enter number of WF frames collected.','Enter X size.','Enter Y size.','Enter sampling frequency.','Enter number of skipped frames.','Enter fraction to downsample pixels.'};
t = 'Input';
dims = [1 50];
definput = {'15000','640','... |
9164373acbbf9da7e441111a8a4c072c60f237ef1a88e186c78c795592efbb6c | MATLAB | 11,880 | 307 | % split into single and multi groups.
% new. Use trials from dcNew var
% option to re-run training and classifying or pull from saved data
% sbjList is cell array of experiment "number". Ex: sbjList = {'01','02'};
% sbjList = {'08','10','12','13','14','15'};tInd = 8;featureName = 'Cumulative Sum';numRept = 5;numClasses... |
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