sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
023487959dd51eed44cdadaaf34887b1ff86d1f5f95a129a7f2e7655d8bcf05b | MATLAB | 6,949 | 255 | close all
clear all
clc
minDistance = 10;
xedges = linspace(-minDistance, minDistance, 100);
yedges = linspace(-minDistance, minDistance, 100);
DO_ANIMATION = true;
HEADING_OFFSET_DEG = 90;
% Arena
a = [0, 30];
b = [0, 0];
c = [20, 0];
d = [20, 30];
refCanPts = [a(1), b(1), c(1), d(1); a(2), b(2), c(2), d(2)];
poly ... |
d0e1f104a04b822f35ee742ab1ac88e3c620c7b307caa5e01e9a8f62f2e9190d | MATLAB | 6,966 | 173 | function VOR_DarkRearing(params)
%% runVOR Analyze VOR behavioral data directly from Spike2 files (.smr)
%
% modified from SineFitBNwSlip_GenSD_auto 8/2012 by Hannah Payne:
% - automatically import files directly from Spike2 (.smr) to Matlab
% - improve readability/maintainability
% - Display saccade eliminat... |
f4b42abb973ac034310efca3240dac9031d985022196899bb7cfa3dcaaf67f8f | MATLAB | 6,968 | 205 | function [HDR]=famosopen(arg1,arg3,arg4,arg5,arg6)
% FAMOSOPEN opens FAMOS file
% However, it is recommended to use SOPEN instead .
% For loading whole data files, use SLOAD.
%
% see also: SOPEN, SREAD, SSEEK, STELL, SCLOSE, SWRITE, SEOF
% HDR=famosopen(HDR);
% $Id: famosopen.m 8776 2013-11-14 09:04:48Z roboos $
% C... |
434de395e62ea944f2b43be3ad306d9e06371216f241f4a7837577ad28e9b10f | MATLAB | 6,970 | 169 | % figureS6(data_dir, read_from_excel)
%
% INPUTS:
% data_dir (str): Path to source data (default: 'source_data').
%
% read_from_excel (bool): Flag to read from Excel (true)
% or .mat files (false) (default: false).
%
% Mackay et al. 2024 (DOI:10.1038/s41467-024-52295-5)
% License:... |
4b1ba74e0dc6f9201ea31b9e966abaded0e2660c97d2390034eed6051fab64dd | MATLAB | 6,984 | 194 | function [image_new_crop, mask_new_crop, mask_new_full, select_frames_class, select_weight_calss] = ...
find_missing_blockwise_mm(mm, masks, xmin, xmax, ymin, ymax, ...
weight, num_avg, avg_area, thj, thj_inclass, th_IoU_split)
% T=mm.Format{2}(3);
% [Lx,Ly,T] = size(video);
[Lx,Ly,N] = size(masks);
%% Update i... |
05b6c6a7cba7e3e433e7228fb53dc44433b9aaec2214e4aa9732f163cf3b38ff | MATLAB | 6,995 | 209 | function aligned_similarity_score_run()
[dataPoor, dataRich] = load_feature_data();
sessionStatsPoor = cell(length(dataPoor),1);
for iData = 1:length(dataPoor)
sessionStatsPoor{iData} = compute_and_plot_corr_stats_per_session(dataPoor(iData));
end
maxDays = 0;
for iMouse = 1:length(sessionStatsPoor)
s = ses... |
af7826cd3f4272ee12329c6af0e870080ce88878ecee333ac3ea54682ac7f088 | MATLAB | 7,000 | 173 | function VOR_DarkRearingGeneralization(params)
%% runVOR Analyze VOR behavioral data directly from Spike2 files (.smr)
%
% modified from SineFitBNwSlip_GenSD_auto 8/2012 by Hannah Payne:
% - automatically import files directly from Spike2 (.smr) to Matlab
% - improve readability/maintainability
% - Display sa... |
1895477f55390259fc57435dbd5f1f34b44403c519a5ed29a1a7f388b9ac4728 | MATLAB | 7,001 | 171 | function [ms] = men_cnmfe_run( cnmfeOptions, alignedScopeFilename )
%% choose data
neuron = Sources2D();
nam = neuron.select_data( alignedScopeFilename ); %if nam is [], then select data interactively
if cnmfeOptions.with_dendrites
% determine the search locations by dilating the current neuro... |
3f62919a1e66f158808d46ba77eab86bca9ab8fc084dbc951c44b50038b08361 | MATLAB | 7,010 | 228 | function [ws warned] = print_once(varargin)
%
% PRINT_ONCE will print a message for every unique point in the
% stacktrace only, e.g. in a for-loop a warning is thrown only once.
%
% Use as one of the following
% print_once(string)
% print_once(id, string)
% Alternatively, you can use ft_warning using a timeout
% ... |
51578d459854dc20be1eabbd4fd19bdddbe9b2d48a1824da825a136e23610d81 | MATLAB | 7,017 | 231 | function out = delta2chi_FANSI_nlL1TV(params)
% Nonlinear L1-norm QSM and Total Variation regularization
% with spatially variable fidelity and regularization weights.
% The L1-norm data fidelity term (PI-QSM) is more robust against phase inconsistencies than
% standard L2-norm (FANSI).
% This uses ADMM to solve the ... |
d836e861f6b7626b6df2f6a0f3f47cc10757227ca2a97c8f65ead20a73ded2c2 | MATLAB | 7,022 | 155 | function tune = tuningA(Var,uspikes,Fs,elec,unit,latency)
% compute Arseny's 1Dtuning.
% var is the frames vector of tuning var.
% uspike is the frames vector of the unit. here only the binary (Nspikes>0
% or not) is used
% Arseny:
% I prepared a script (example.m) that calls all the functions needed to gener... |
ca98fb075b298ff375a62ad6b3348a4f1de9e7ed95a9b92aef6d6fab705a49b2 | MATLAB | 7,033 | 261 | function out = delta2chi_nSFCRL1(params)
% out = delta2chi_nSFCRL1(params)
% delta2chi_nSFCRL1
% Ref: Bao et al, IEEE TMI, 2016 35(9):2040-50
% Chen et al, J Neurosci Res, 2019, 97:467:479
% Milovic, MRM, 2018, 80:814–821 (FANSI)
% Milovic, MRM, 2022, 87(1):457-473 (L1-QSM)
% FANSI toolbox: https:/... |
656120cc884f0fae3f539108ae9f034a64ea21e85271763c6161e2e24e49871a | MATLAB | 7,037 | 126 | %% visualize raw data
animal = 'despereaux'; %d8_2_t27
%animal = 'roquefort'; %d15_e2_t25
%animal = 'remy'; %d23 e2 t26
%animal = 'bernard';
destdir = '/cumulus/anna/despereaux/filterframework/';
Fs = 1500;
fps = 30;
day = 8;
ep = 2;
%tets = [24]; %20
task = loaddatastruct(destdir,animal,'task');
tetinfo = loaddatast... |
892b57ae1005955cfb9db94adc5e2d35273f8bd4b86e850d686d6c632a5bf108 | MATLAB | 7,043 | 191 | %aspikes
%plot STA for units, only those whose Mdep has p<0.05 by bootstrap
clear all; close all;
trackMemory;
scrsz = get(0,'ScreenSize');
globals; initglobals;
DEBUG=0; PRINT_INFO = 1;
LATENCY = 14;
PLOT_RAW_SIGNALS=1; % plot raw signals
% SessionName = 's:bnehud\data\pom36';
%Thalamus36, Spikes{1,1},{4,1... |
9b2f0d14e7d3086b987fc849e92247ddbe9b41b3e1351749f4c0c11fcfb5dc99 | MATLAB | 7,044 | 179 | %% STEP 1: establish plotting constants
N_rows = 4;
N_columns = 4;
N = N_rows*N_columns;
fps = 14;
frames_before = 5*fps-1;
frames_after = 5*fps;
%% STEP 2: allow user to select the filename to save as
[filename,pathname] = uiputfile('*.mp4','Save Watershed Region As');
if isequal(filename,0) || isequal(pathname,0)
... |
554357c8138960734b9dedf74e7e846d2ec2f79c567d60c79dfff2466456e23b | MATLAB | 7,045 | 192 | clear
cd ./opto_gocue_withchr2
% C1S2:loop;C1S3:go cue;C1S4:go judge;C1S5:no gocue;C1S6:nogojudge;
% C1S7:go Hit;C1S8:go miss;C1S9:no go CR;C1S10:airpuff;OUT1:reward;OUT2:airpuff;
% C1S11:light on; % C1S12:light off;
control=dir('C*.mat');
inhibit=dir('I*.mat');
active=dir('A*.mat');
for j=1:length(control)
... |
136e870c931115a6344d2fbed8425af301977791eaa5a913adf1baebbd03b631 | MATLAB | 7,053 | 119 | % run amapOFshow
clear all; runMode = 'batch';
globals; initglobals;
PRINT_ERRORS = 0; PRINT_INFO=1; PRINT_NAN=0;
DATA_TYPE = 'OF';
DATA_TYPE = 'EM';
SAVE_FIGS=0; % whether to save figs as files (in folder dataFigs)
PLOT_TYPE = {'tuning'}; % {'map'}, {'trajectory'}, {'tuning'}, {'map';'trajectory'} ;
%PL... |
c58d67f8103f8116b7c9f1131c40425cc2cce21be9e3fc132bfb5ac697768a8d | MATLAB | 7,053 | 166 | clear all; close all;
rng(123456789)
% load data
data = readtable("Grating2AFC_TransProb_behav_history_clean_4fitting.csv");
% specify environments
environments = {'Neutral','Repeating','Alternating'};
% add correctResponse integer column
data.correctResponse_int(strcmp(data.correctResponse,'Left')) = -1;
data.corr... |
7c0c61f116946fe2b1b246a5bb45969413b4c39d1e161d72d992411a3166a55d | MATLAB | 7,054 | 195 | function [image_new_crop, mask_new_crop, mask_new_full, select_frames_class, ...
select_weight_calss, classes, video_sub_sort, mask_update_select, select_frames_sort_full] = ...
find_missing_blockwise(video, masks, xmin, xmax, ymin, ymax, ...
weight, num_avg, avg_area, thj, thj_inclass, th_IoU_split)
% T=mm... |
d09922b65912c6523b799a148cefbce0873567486f1e5b19b8dd1d8a7be7a9ad | MATLAB | 7,055 | 266 | function [] = Fig04_Example_TimeCourseRaw_frames_nsybD()
% Code for plotting example frames in Fig. 4c.
GT = 'nsybD';
Target_FileID = 10;
Target_Trial = 1;
FileID = Target_FileID;
Periods = [1170:1173]; % Pre
Periods = [Periods;[1189:1192]]; % Pulse 1
Periods = [Periods;[1196:1199]]; % Sine 1
Periods = [Periods;[120... |
0f038092561b9c83bbe342eeef8df21109fa6fea6a6ec59a6a131e34b2d0fb31 | MATLAB | 7,059 | 195 | function checkConfig(DynamicTable, varargin)
% CHECKCONFIG Given a DynamicTable object, this functions checks for proper
% DynamicTable configuration
%
% checkConfig(DYNAMICTABLE) runs without error if the DynamicTable is
% configured correctly
%
% checkConfig(DYNAMICTABLE,IGNORELIST) ... |
5031654c558cc9466af4287614cc487e732517e7e5b86a0bd2c5f7c05c09e994 | MATLAB | 7,060 | 204 | function [hdr] = read_ctf_res4(fname)
% READ_CTF_RES4 reads the header in RES4 format from a CTF dataset
%
% Use as
% [hdr] = read_ctf_res4(filename)
%
% See also READ_CTF_MEG4
% "VSM MedTech Ltd. authorizes the release into public domain under the
% GPL licence of the Matlab source code files "read_ctf_res4.m" and... |
a32cb0abaa72befb1dcc433c5d1d05e1ecf4598acb9962432b4f96de1bb627e3 | MATLAB | 7,060 | 166 |
function [pval_spins, molecular_names, x_weights, Y_pred, correl, molecular_maps_labels_ordered] = NCP_10_CCA_cent_var(name,dx_title,location,type)
warning('off','all')
cd([location,'\PCA_CCA\',dx_title,'\'])
X_rotated = csvread([location,'\PCA_CCA\perm_sphere_10000_DK.csv'])';
X_rot = X_rot... |
5b592818fe8b90ebeaa7705f7fb5833c621e45f30598f88638f3986e89899ffc | MATLAB | 7,066 | 228 | %run_subsample_and_ROC_stdFR_stdRP.m
% assumes run_simulations_stdFR_stdRP.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
'../../analyze';
'../../helper_functions';
};
datadir = pwd;
%%
addpath(scriptdirs{... |
7a7a01dde45561e1c27fa755b274b5860bdbd53f3f74b8fcb4ce8f179f79f47c | MATLAB | 7,078 | 136 | function [newTracks] = resolve_problems(folder_name, parameters)
% displays a GUI to help user decide how to resolve centerline problems, not used in paper
min_track_length = parameters.MinTrackLength;
% plotting_index = 1;
Tracks = load_single_folder(folder_name);
if isempty(Tracks)
retur... |
c9fea7e6e88e1c5544b5abe243d4cad233bf6ad72d847b078b2401d008fc11a1 | MATLAB | 7,085 | 181 | function [dap] = read_mpi_dap(filename)
% READ_MPI_DAP read the analog channels from a DAP file
% and returns the values in microvolt (uV)
%
% Use as
% [dap] = read_mpi_dap(filename)
% Copyright (C) 2005-2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for th... |
d741968c1a0ae048c823dac769482cef5bbc24d4338f885fe8aec0511e468869 | MATLAB | 7,086 | 267 | %% Code simulating a Perceptron-like shallow network learning to perform
% a transitive inference task. Figures resulting from this simulation and
% the related analysis provided the material to compose Fig. 3 of
% (Di Antonio et al., bioRxiv 2023, DOI: 10.1101/2023.08.03.551859).
%
% Copyright Maurizio... |
5351fbb8e94654d64422f219614fc4333b9e62caeb387425780e559f23186a8e | MATLAB | 7,092 | 171 | function design_mat = fact_des_full_fact(stud_dir, subj_file, MS_file, img_paths, var_names, cov_names, stat_suff)
% _
% Create batch for factorial design full factorial analysis
%
% stud_dir - study directory in data/analyses are located
% subj_file - an XLS file containing subject IDs and covariates
% ... |
50ac17df31260aa5b96927d8230a868ce840df946f455ab7c20caa8611c00cf8 | MATLAB | 7,094 | 188 | function D = IBWread(FN);
% IBWread - read Igor wave from IBW file
% D = IBWread('Foo.ibw') reads Igor file Foo.ibw into struct D.
if exist('fullfilename', 'file'), FFN = fullfilename(FN, cd, '.ibw');
else, FFN = FN;
end
% read headers
[D.binHeader, D.waveHeader, FFN] = readIBWheaders(FN);
fid = fopen(FFN,'r');
fid... |
9342e1ad18d510af3ed3fb12862e5a255312129436b1ee279d0d09aaef0dc91d | MATLAB | 7,104 | 228 | %run_subsample_and_ROC_stdFR_stdRP.m
% assumes run_simulations_stdFR_stdRP.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
'../../analyze';
'../../helper_functions';
};
datadir = pwd;
%%
addpath(scriptdirs{... |
dc3546dd5abb38fa885db1904a60ab8d8235e2ff0014865ce6620c8d480f8f57 | MATLAB | 7,106 | 226 | %run_subsample_and_ROC_stdFR_RPk0nr3.m
% assumes run_simulations_stdFR_RPk0nr3.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
'../../analyze';
'../../helper_functions';
};
datadir = pwd;
%%
addpath(scriptd... |
c333a9875007ccc84992c942ccbcbfddf7bbdca2b8ba0b7cd79c52a9beb58f7a | MATLAB | 7,110 | 170 | % computeKernels_pData.m
%
% Function that takes in user-specified pData file, which has been run
% through filtering of FicTrac and spike calling for ephys data, and
% returns kernels relating spike rate and median-filtered voltage to
% FicTrac parameters.
%
% Note: written 9/16/20 as probably temporary function ju... |
b9711155cdf02ab39c3fe49ea46a17d7eef8091170856589a9ade98bb081d5d2 | MATLAB | 7,112 | 186 | function [event] = read_yokogawa_event(filename, varargin)
% READ_YOKOGAWA_EVENT reads event information from continuous,
% epoched or averaged MEG data that has been generated by the Yokogawa
% MEG system and software and allows those events to be used in
% combination with FieldTrip.
%
% Use as
% [event] = read_yo... |
9b77b44cb53215ac9a245283109c09f12606d07b7ffedfa004b5390b2e987f5d | MATLAB | 7,113 | 226 | %run_subsample_and_ROC_stdFR_RPk0.4nr4.m
% assumes run_simulations_stdFR_RPk0.4nr4.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
'../../analyze';
'../../helper_functions';
};
datadir = pwd;
%%
addpath(scr... |
386f00a69407563946edf925535f175b49d1e31c911866aa0e3475f7099d4f32 | MATLAB | 7,116 | 225 | %run_subsample_and_ROC_stdFR_RPk0.7nr18.m
% assumes run_simulations_stdFR_RPk0.7nr18.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
'../../analyze';
'../../helper_functions';
};
datadir = pwd;
%%
addpath(s... |
777cadb8caedbe13799f190f047876f34368a53f3a50dc301b566d689ac04820 | MATLAB | 7,116 | 192 | function [rawDataParametric, parametrizationParams] = parameterizeDataForGLM(rawData)
% Convert covariate data to a parametric format for GLM fitting
%
% rawData : rawData obtained by running rawDataForGLM
%
% rawDataParametric : data in parametric form ready for GLM fit
% parametrizationParams : parameters use... |
cf12e1b366fc2f6b1906a6bc902b532896d2c481cc0c73915ccbeccce0dbd03b | MATLAB | 7,120 | 258 | close all
clear all
clc
% mouseImage = imresize(imread('light-grey-mouse-md.png'), [10,10]);
% figure
% imshow(mouseImage)
%
% figure
% heatmap(mouseImage)
%
% mouseImage(mouseImage > 220) = nan;
%%
minDistance = 10;
%a = 100;
%poly = [0 0; a, 0; a, a; 0, a];
a = [0, 20];
b = [0, 0];
c = [30, 0];
d = [30, 20];
ref... |
80789d5157de9963f0c68f5e68b95c212b39dd8b115ad57e3facd00aaf889ba5 | MATLAB | 7,122 | 203 | function [index_vals,velocity,meanvel,stdvel,badvals] = LSPIV_Parallel_Multi_Box( LineScanTable,numCores,pixel_Size,windowSize,Vessel_Type)
% LSPIV with parallel processing enabled.
%
% For additional information, please see corresponding manuscript:
%
% 'Line-Scanning Particle Image Velocimetry: an Optical Approa... |
5f47da3fa5432635b023208078a0eb9967fed4b391f5d6f00905f08f4577c05c | MATLAB | 7,129 | 207 | % findYawVelPeaksFT.m
%
% Helper function for saveSpikerate_bouts() that takes in
% fictracSmo, and moveNotMove and returns times for valid yaw
% velocity peaks as well as start/end times for corresponding bouts.
% Boolean for whether to extract right or left turns
%
% Adapted from findCondYawVelPeaks(), which opera... |
faa659ddd5366e2964a3a0ae3d96faee25ce069a9b215059fcf20cecb067d932 | MATLAB | 7,130 | 210 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [F] = compute_popvectors_across_contexts_unregistered_figure_4B(analysisSettings, BestAligned, BESTALIGNED_STABILITY_THRESHOLD_CRITERIA, OUTPUT_FOLDER)
% Add the group labels (day names) to the data
SessionsToGroups ... |
6b5f29d2a085d3b1ac27d75695b0e159e47d20b2776fc499b538abac74a7e6e2 | MATLAB | 7,131 | 206 | function runPLS_fmri(ANALYSIS)
% runPLS_fmri
%
% ANALYSIS = 'ELO' or 'A3D'
%
addpath /Users/mlombardo/Dropbox/matlab/spm12;
addpath /Users/mlombardo/Dropbox/matlab/Pls/plsgui;
addpath /Users/mlombardo/Dropbox/matlab/Pls/plscmd;
rootpath = '/Users/mlombardo/Dropbox/Manuscripts/AUTISMS_3D_MSEL_VABS_Toddlers/Autisms3D_f... |
9e0f79490414bcac678609a9f29c6b1a204efb978dce4b393efbd11cc4414261 | MATLAB | 7,135 | 177 | % figureS5(data_dir, read_from_excel)
%
% INPUTS:
% data_dir (str): Path to source data (default: 'source_data').
%
% read_from_excel (bool): Flag to read from Excel (true)
% or .mat files (false) (default: false).
%
% Mackay et al. 2024 (DOI:10.1038/s41467-024-52295-5)
% License:... |
b3feb43ed368eb60dcc818294d2fc8fbe8e59bde2ef184cff953bf7ea786146a | MATLAB | 7,144 | 154 | function [myscreen] = initEyelinkEyeTracker(myscreen, conntype)
% initEyeLinkEyeTracker - initializes a the myscreen and tracker for use
%
%
% initEyeLinkEyeTracker.m
%
% $Id: initEyeLinkEyeTracker.m 203 2007-03-19 15:41:00Z justin $
% usage: myscreen = initEyeLinkEyeTracker(myscreen, [tracker])
% b... |
be3c9e826336e817e2bbb210585945914c40dfc65bf94d34e03017d4a53d3e1a | MATLAB | 7,147 | 200 | % clear;
% close all;
% clc;
initime = clock;
addpath('../funcs');
%% changeable parameter settings
% for parfor
Delta_e = 0.2;
Delta_i = 0.02; % none % changable
Iattn = 0.02;
time = 4000;
disp("Computing -- Delta_e:"+num2str(Delta_e)+", Delta_i:"+num2str(Delta_i)+", Iattn:"+num2str(Iattn));
[r,v,g] = once(Delta_e... |
43d77111230ce5860ea42e9c1ad22114694da7dbda0e4277df88d3206f2d1864 | MATLAB | 7,152 | 192 | % taskTemplateStaircase.m
%
% $Id: taskTemplateStaircase.m 231 2007-04-20 22:50:46Z justin $
% usage: taskTemplateStaircase
% by: justin gardner
% date: 01/27/07
% copyright: (c) 2007 Justin Gardner (GPL see mgl/COPYING)
% purpose: oriented grating stimulus
%
function myscreen = taskTempla... |
9144fbe43d023656b5051e23703989ada36df1d09abf0773d8cfdd21efe296a9 | MATLAB | 7,158 | 202 | %--------------------------------------------------------------------------
% make_video.m
% Creates a video from the voltage readings of a simulation
% Displays voltage of columns in layer 2 on 3D ico surface
% and real time evolution of layer average voltage
%---------------------------------------------------------... |
41ccad7b541c7c9bcc5871aef5b597e35e23c2e27418fc38411476769b15f020 | MATLAB | 7,159 | 181 | function [nodes,nv] = growMajorVessels(nv,np,vp)
% [nodes,nv] = growMajorVessels(nv,np,vp)
%
% Function to sample vasculature locations and setup nodes and connections of
% vasculature (including connections to penetrating vessels)
%
% - nv - struct for number of vessel parameters
% .size - size of ... |
696a6fca51ac0301b018900fdb0a434479c00921d3f9168d57c4b7f97fa37c5f | MATLAB | 7,160 | 202 | function [dat] = ft_fetch_data(data, varargin)
% FT_FETCH_DATA mimics the behaviour of FT_READ_DATA, but for a FieldTrip
% raw data structure instead of a file on disk.
%
% Use as
% [dat] = ft_fetch_data(data, ...)
%
% See also FT_READ_DATA, FT_FETCH_HEADER, FT_FETCH_EVENT
% Copyright (C) 2009-2013, Jan-Mathijs Sch... |
a7586edc7cd419e727594e0c9a392214cd4466fefb101cea62e65e96cb7bda77 | MATLAB | 7,171 | 200 | function [assignment,cost] = munkres(costMat)
% MUNKRES Munkres (Hungarian) Algorithm for Linear Assignment Problem.
%
% [ASSIGN,COST] = munkres(COSTMAT) returns the optimal column indices,
% ASSIGN assigned to each row and the minimum COST based on the assignment
% problem represented by the COSTMAT, where the... |
f07161feb4e22e517da9df1074cf8d3d55de072e96ab9b62da72421d35a5d915 | MATLAB | 7,182 | 233 | % for paper "Inferring stochastic dynamics of complex systems", T.-T. Gao,
% B. Barzel, and G. Yan
% Equation from paper "Inferring the dynamics of underdamped stochastic
% systems" by D. B. Bruckner, et al.
clc, clf, clear, close all
tic
Nnodes = 20;
dim = 3;
A = ones(Nnodes,Nnodes);
for i = 1:Nnodes
A(i,i) = ... |
c64f463eebe988612254780b298ec5df73f3e824108608ed575266e2e0b9d23f | MATLAB | 7,191 | 275 | %% Code simulating a Perceptron-like shallow network learning to perform
% a transitive inference task. Figures resulting from this simulation and
% the related analysis provided the material to compose Fig. 3 of
% (Di Antonio et al., bioRxiv 2023, DOI: 10.1101/2023.08.03.551859).
%
% Copyright Maurizio... |
a3cf6fe5e2496ab85290ec3e629f8c2b615d2c46ebc838510947bee4df5bad95 | MATLAB | 7,192 | 275 | %% Code simulating a Perceptron-like shallow network learning to perform
% a transitive inference task. Figures resulting from this simulation and
% the related analysis provided the material to compose Fig. 3 of
% (Di Antonio et al., bioRxiv 2023, DOI: 10.1101/2023.08.03.551859).
%
% Copyright Maurizio... |
b817b4f2da1d8a0974fff65b2ad6393450be390d5852982a42ae774e42c42dca | MATLAB | 7,192 | 275 | %% Code simulating a Perceptron-like shallow network learning to perform
% a transitive inference task. Figures resulting from this simulation and
% the related analysis provided the material to compose Fig. 3 of
% (Di Antonio et al., bioRxiv 2023, DOI: 10.1101/2023.08.03.551859).
%
% Copyright Maurizio... |
ce11be6b85bcf1e437f5bcbd133231c0e0debb47134f157807b5c45b2b218dfe | MATLAB | 7,196 | 214 | function ResTable = aedes_res2table(Res,varargin)
% AEDES_RES2TABLE -
%
%
% Synopsis:
%
% Description:
%
% Examples:
%
% See also:
%
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Juha-Pekka Niskanen <Juha-Pekka.Niskanen@uku.fi>
%
% Department of Phys... |
d8bf22d5965d435e701c56a4cb3a230c1dd8b66ba57b626ca32d2b2c6251d61a | MATLAB | 7,204 | 228 | function myscreen = taskTemplateDualMain
% function myscreen = taskTemplateDualMain
%
% 2007May04 SO
% Sample code to show how to run dual tasks
% The main task is just two stimuli shown with a variable
% delay in between. The subject will discriminate orientation.
% The subsidiary task is an RSVP task at fixation
% ... |
41127dd26ad69c65224a700121ca4337b44612b59c2fa2e6708b85a024401ae6 | MATLAB | 7,205 | 135 |
ListAnimals = 'IMPORTED_EXPERIMENTAL_LIST.XLS';
proc_dir = 'PATH_TO_PROCESSED_DATA_FOLDER'; %%%%This is the directory where your pre-processed data is saved
number_probes = 1;
for anim = 1:size(ListAnimals,1)
exps=[];no_exps=[];
exps = eval(ListAnimals{anim,5});
procExpNam... |
e84a226a8c99a99100390accc57bbb1cb58fea8048e005a79a7305e269466986 | MATLAB | 7,205 | 177 | function grad = yokogawa2grad(hdr)
% YOKOGAWA2GRAD converts the position and weights of all coils that
% compromise a gradiometer system into a structure that can be used
% by FieldTrip. This implementation uses the old "yokogawa" toolbox.
%
% See also CTF2GRAD, BTI2GRAD, FIF2GRAD, MNE2GRAD, ITAB2GRAD,
% FT_READ_SENS,... |
01bdc37e4285ec438cc4461b59b3fa38a194a78895df951045e16a5ed8696a10 | MATLAB | 7,206 | 234 | %run_subsample_and_ROC_stdFR_stdFRP_splines.m
% assumes run_simulations_stdFR_stdRP_splines.m
% has been run first
% see statsF and related structs generated
% towards the end of the script for information
% about pAUC statistical test results
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes s... |
9b2d3a28aa5c62645a5eb2343abd355636630fcb8169528ed121f21172950a8c | MATLAB | 7,208 | 182 | function [m, filename, imaxf, imeanf, pixh, pixw, nf, imx1, imn1] = data_h5(path_name, file_base, file_fmt, folder, Fsi, Fsi_new, ratio, ttype)
% Concatinate data pieces from raw 4GB-tif chunks,
% new tiff files,
% or avi files from UCLA miniscope
% parallel or serial version supported
% Jinghao Lu 01/16/2016
... |
17cd8efb8991d3e4bb3ec95da3ca2c03d606a71b7b59262ff4b37d6a241005ae | MATLAB | 7,210 | 140 | function [r,v,g] = onlyAttn(Delta_e, Delta_i, Iattn, allTime)
%ONCE run the simulation once including five conditions
% INPUT arguments includes parameters of the column model
% OUTPUT arguments are the results of computation, including the time
% courses of firing rate, average membrane potential and synaptic
% ... |
a70568254dcb3d6794757b7e68eb787b05cac39084a16746e9d538c3b27159a9 | MATLAB | 7,219 | 201 | % visstimVInj.m
%
% Trial Type Function
% Plays visual stimulus in closed loop, with voltage signal coming from DAQ
% itself. Records visual controller output
% For testing closed loop
%
% INPUTS:
% settings - struct of ephys setup settings, from ephysSettings()
% duration - duration of trial, in seconds
%
% OUTP... |
7d08a0adb70cf3a803351326b0829db097d91b759f2683d78678851b2fc9bb9d | MATLAB | 7,222 | 246 | % cshl2022Figures.m
%
% Quick and dirty script for making ephys figures for DNg13 and DNa02 for
% 2022 CSHL Neuronal Circuits poster
%
%% DNg13
pDataFullPath = '/Users/hyang/Dropbox (HMS)/EphysAnalysis-Helen/pData_2021cshl/200821_fly01_cell01_trial01.mat';
ttl = 'DNg13';
%% DNa02
pDataFullPath = '/Users/hyang/Drop... |
c8dee91896914f25695cb9aa8dfe13dfdf0887b47f2a4d3ebe355a5449731c77 | MATLAB | 7,237 | 133 | function cal_params = fit_NAOMi_calcium(spike_time, t_frame, fmean_norm, t_ephys, varargin)
% function out_val = fit_NAOMi_calcium(spike_time, t_frame, fmean_norm, t_ephys, params, {OptType})
%
% Function to set up the comparison used for learning the parameters for
% the calcium imaging time-trace generation. Specif... |
9d02e2f4ec4c3bda2ebf886cafb7117fa470c5a232279b3b017c9c9508268bfa | MATLAB | 7,239 | 142 | function [r,v,g] = onlyA_blockL6E_L4E(Delta_e, Delta_i, Iattn, allTime, stimIn)
%ONCE run the simulation once including five conditions
% INPUT arguments includes parameters of the column model
% OUTPUT arguments are the results of computation, including the time
% courses of firing rate, average membrane potenti... |
a266932de0819ade3fa69bc144b197b4c536d703e6f96338b202ab1b99902bf9 | MATLAB | 7,239 | 142 | function [r,v,g] = onlyA_blockL6E_L4I(Delta_e, Delta_i, Iattn, allTime, stimIn)
%ONCE run the simulation once including five conditions
% INPUT arguments includes parameters of the column model
% OUTPUT arguments are the results of computation, including the time
% courses of firing rate, average membrane potenti... |
809061c6a9f9a3494e266163a000f9b6babb2c2f90afe55e5e10928f56dbbcb4 | MATLAB | 7,248 | 190 | % findBoutStepIndsBall.m
%
% Helper function for saveBallLegStepParamCond_bouts() that takes in bout
% peak, start, and end times (output of findCondYawVelPeaksFT() helper
% function) as well as step index info, and returns aligned steps, as
% indices into legStep matrices.
% Also, returns whether bout peak is du... |
efbb9ca5efeec521ddb88f5ed560ede4048d3847573a4b64627680a8ea4a9817 | MATLAB | 7,258 | 177 | function simulation_simulate_signals_based_on_axDKI(path_of_script, simulation_voxels_axDKI_table, simulation_parameters)
contaminate_signal = simulation_parameters.contaminate_signal;
bvalues = simulation_parameters.simulation_bvals/1000;
diffusion_gradients ... |
9fe632cca353a6d2dc632164eac1fa685e3b06dcdc112bf91f98e00ec1723444 | MATLAB | 7,265 | 205 | % mglCameraCalibTiming
%
% $Id$
% usage: taskTemplate
% by: justin gardner
% date: 10/16/2019
% copyright: (c) 2006 Justin Gardner (GPL see mgl/COPYING)
% purpose: program to calibrate the timing of camera frames. Basically the story is that
% the Spinnaker library gives a time... |
dcdbb5bfbb89b057760dc27354731dc5c68fc44478b6a3d33616f2885a09d142 | MATLAB | 7,265 | 245 | function [params] = textureAnalysis(im0, Nsc, Nor, Na)
% Analyze texture for application of Portilla-Simoncelli model/algorithm.
%
% [params] = textureAnalysis(im0, Nsc, Nor, Na);
% im0: original image
% Nsc: number of scales
% Nor: number of orientations
% Na: spatial neighborhood considered (Na x Na)
%
% Exa... |
92230dc7fb57e1e0585eed04111735789fefe9886c5b81104d161fa92980e61f | MATLAB | 7,269 | 204 | % May 5, 2020
% Isabel gave me a dataset with 23 experiments with 5 sessions each. Some
% of the sessions had a second trial that was junk (only a few points) so
% the following code fixes these records, and it also forces the bits to be
% 32.
close all
clear all
clc
tstart = tic;
% Don't change these
projectCfgFile... |
71a2dd2a5cd68c533bfeb451be568be0989893910b81435a54d4884af8855bcc | MATLAB | 7,271 | 239 | % getLastStimfile.m
%
% $Id:$
% usage: stimfile = getLastStimfile(myscreen,<verbose=1>,<stimfileNum=-1>,<onlyToday=false>)
% by: justin gardner
% date: 06/08/11
% purpose: retrieves the latest stimfile from the data directory. This is useful
% for when you want to create a stim... |
501a6cf2cc125ad99cfa729c517e690acadf5f0a58fb829424d94c082edb2e4a | MATLAB | 7,275 | 142 | function [r,v,g] = SandA_blockL6E_L4I(Delta_e, Delta_i, Iattn, allTime, stimIn)
%ONCE run the simulation once including five conditions
% INPUT arguments includes parameters of the column model
% OUTPUT arguments are the results of computation, including the time
% courses of firing rate, average membrane potenti... |
9a7c3223d8ebef278838a8600d49864b318f7a5f3fb5701be23e446f22d225c4 | MATLAB | 7,275 | 142 | function [r,v,g] = SandA_blockL6E_L4E(Delta_e, Delta_i, Iattn, allTime, stimIn)
%ONCE run the simulation once including five conditions
% INPUT arguments includes parameters of the column model
% OUTPUT arguments are the results of computation, including the time
% courses of firing rate, average membrane potenti... |
84bea622765ef5f43127bf2f5995bfe90ebf98630efa9c4796b1fdaf538d404c | MATLAB | 7,276 | 208 | classdef OnePhotonSeries < types.core.ImageSeries & types.untyped.GroupClass
% ONEPHOTONSERIES Image stack recorded over time from 1-photon microscope.
% OPTIONAL PROPERTIES
properties
binning; % (uint8) Amount of pixels combined into 'bins'; could be 1, 2, 4, 8, etc.
exposure_time; % (single) Exposure time... |
d382e5c5b255a92d43d8c194c2164b0b2dd5dd0551ed47400579c523ea5e11b0 | MATLAB | 7,276 | 145 | function [r,v,g] = onlyA_reduce_L6(Delta_e, Delta_i, Iattn, allTime)
%ONCE run the simulation once including five conditions
% INPUT arguments includes parameters of the column model
% OUTPUT arguments are the results of computation, including the time
% courses of firing rate, average membrane potential and syna... |
84cba518beb05e2f6791360864ed746f4b0cb9d4a7451659aa568039d577827b | MATLAB | 7,277 | 180 | % This script accurately computes and displays electric fields sampled on
% a cross-section (transverse plane) via the FMM method with accurate neighbor integration
%
% Copyright SNM/WAW 2017-2020
%% Load/prepare data
planeABCD = [0 0 1 Z]; % Equation of the plane of the cross-section (Ax + By + Cz... |
f957f09d1a0c06b4f588299e3c85a4c210462b386f33b2723713ad751f17c3e3 | MATLAB | 7,289 | 154 | function [ds, fLMM, fLMM_Model, lmmResults, lmmResults_Model] = ...
getDataTableAndLMMResults(projectDir, lmmModelFlag, saveFolderNameDS,subjnrs)
% Function to create and run main linear mixed model (LMM) on data and
% model mean stimulus block amplitudes. For comparing LMMs to more
% conservative models, see s_com... |
d801c9e9909d09d0d485082825ffd4cbbd11ae9e53b11176484886869f19ad22 | MATLAB | 7,294 | 162 | function sse = eval_function_multiple_runs(data,fitting_target,value_init,x)
nSims = 16;
mouseNames = unique(data.mouseName);
simulated_responses = cell(length(mouseNames),nSims);
for iSim = 1:nSims
% loop over mice
for iMouse = 1:length(mouseNames)
% subselect data of current mouse
... |
a5db4fb056c9c8c7d98e0ff8de25b77d9796a63ade95f08043030cdfb9fcf922 | MATLAB | 7,301 | 219 | function [variance,mov_distance,mov_duration,max_speed]=striking_subfigure(Session,Area,Ndir,Nbins,t_from,t_upto,edges_dur_bin,do_plot)
%% embedding_dimensions performs PCA on the neural data from Session and
%% Area binning the movements into Ndir directions and Nbins durations
% This function also saves the PCA resul... |
de8b8b1226943e65de7eb5ace00a2524e530297c4d83072939cb2a594d1e369f | MATLAB | 7,337 | 146 | function [r,v,g] = SandA_reduce_L6(Delta_e, Delta_i, Iattn, allTime, stimIn)
%ONCE run the simulation once including five conditions
% INPUT arguments includes parameters of the column model
% OUTPUT arguments are the results of computation, including the time
% courses of firing rate, average membrane potential ... |
855c9e406f68908f36d5333672706a85cff079afd1f69c11bfa2fd24c9d42e92 | MATLAB | 7,338 | 168 | function [f, params] = get3DSpatiotemporalpRFs(params)
% Description: Function that creates spatiotemporal pRF models
% to use as linear filters.
%
% INPUT:
% params : (struct) Params struct should have the following fields:
% params.saveDataFlag
% params.recomputePredictionsFla... |
fcacdbc282d53822f73ae288e38de8b6d43b6f24766a275584ddd34c3fe98be7 | MATLAB | 7,344 | 275 | % Function File: [N, P, D] = fpeaks (t, y, p, s, L, V)
%
% Searches the y vector for minima or maxima by searching for
% zero crossings in the smoothed first derivative. The local
% preceding baseline for each peak is determined and used to
% calculate peak amplitides.
%
% The input parameter 'p... |
5a18b81ba42b544bf53c58f197e9c4d52e9718fc717c441a7797dde4c02f04c1 | MATLAB | 7,357 | 203 |
function rezToPhy(rez, savePath)
% pull out results from kilosort's rez to either return to workspace or to
% save in the appropriate format for the phy GUI to run on. If you provide
% a savePath it should be a folder, and you will need to have npy-matlab
% available (https://github.com/kwikteam/npy-matlab)
% spikeT... |
3a343c6cbb29589d56520a4cbf52b65a6cfe8ec8bb91ee70a301cb859c3d891d | MATLAB | 7,358 | 207 | %% CREATE_DATAFRAME_FOG
% Converts the trial data of all FOG events into a table which can
% be read in by R. It contains the fNIRS data averaged over 4 time windows
% (baseline, pre, post, and post2) for each channel, trial and participant with
% extra info about each trial.
% (baseline = [-10 -5]; pre = [-3 0]; post... |
89dcc2dbfcf421c056b93129815168ad747453513a71658787da42a8e9f98bc3 | MATLAB | 7,361 | 196 | function D = IBWread(FN,pos);
% IBWread - read Igor wave from IBW file
% D = IBWread('Foo.ibw') reads Igor file Foo.ibw into struct D.
if nargin == 1
pos=0;
end
if exist('fullfilename', 'file')
FFN = fullfilename(FN, cd, '.ibw');
else
FFN = FN;
end
% read headers
[D.binHeader, D.waveHead... |
bf223f4c91702e31e73f0d37666738e30d8b2f69b1a55ebe85a0ef78f4681c80 | MATLAB | 7,361 | 171 | function out = dfa_RWsimulation(index, excludeperiods, rippleskons, trials, varargin)
% For each ep:
% 1. Concatenate all time spent at the wait well; create pool of rips and triggers
% 2. For each rip trial, identify the trigger size and duration
% 3. Identify a matching sized rip in the wait pool and pull a chunk... |
c463a1fd9e213c695c76f097b2898e4057e85519cd92d639dfebc193c524b2e6 | MATLAB | 7,361 | 332 | function [done,msg] = aedes_saveres(DATA,ROI,filename,varargin)
% AEDES_SAVERES - Save Aedes results (statistics and ROIs)
%
%
% Synopsis:
%
% Description:
%
% Examples:
%
% See also:
%
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Juha-Pekka Niskanen ... |
cd6d7b44855948c60a337c1494717f2cf936f7b88ae9bfad153536d2c39c22cf | MATLAB | 7,367 | 180 | <<<<<<< HEAD
function [result_f, enrolltime, errMessage] = goEnroll(general)
% reset some indexes
errMessage = '';
enrolltime = 0;
enrolltime_n = 0;
result_f = [];
bolSkip = false;
files = getFileList(general.PATH_IMAGE);
% if no files, exit
if (length(files) == 0)
errMessage = 'No valid images found! Check conf... |
d60bee3084dbdce9586cc417e9bd883af2a66bd7b76706b253bd1d8d403e064f | MATLAB | 7,378 | 140 | function [r,v,g] = onceLateral(Delta_e, Delta_i, Iattn, allTime, lateral)
%ONCE run the simulation once including five conditions
% INPUT arguments includes parameters of the column model
% OUTPUT arguments are the results of computation, including the time
% courses of firing rate, average membrane potential... |
97a24d501204604a0c0817c81e9ae5285e094259410e70adbfa177ef89ad8569 | MATLAB | 7,380 | 238 |
%% Load Data
Porder = 3;
namestr = 'modes13';
addpath([cd,'/helper_scripts/'])
EG = ExperimentGroup(namestr,-5:-1,[cd,'/data/']);
%% Analyze Each Experiment for Modes
Time = cumsum(EG.loadBest().LearnTimes)/10^6;
maxnum = length(EG.VIT);
Evals = nan(Porder+1,length(Time),maxnum);
Tvals = nan(1,leng... |
dec7fafc5e2d9da2a437c21f5d9f5097bf3b705f2e8bb56131a34b2c3b59393f | MATLAB | 7,386 | 200 | % Main script for Segmentation Analysis of HRTEM images
% Run this script to run the automated nanoparticle transmission electron
% micrograph analyzer (ANTEMA)
% Copyright (C) 2022 University of Duisburg-Essen,
% Nina Gumbiowski
%
% This program is free software: you can redistri... |
776f805dcc88cec72e3b2332bcf8430e729e761ac015df3ef200f80e2286506c | MATLAB | 7,390 | 146 | %% Neurofeedback: variance in tracked position while at center ports
% control and manipulation cohorts
animals = {'jaq','roquefort','despereaux','montague','remy','gus','bernard','fievel'};
epochfilter{1} = ['isequal($cond_phase,''plateau'') & isequal($environment,''goal'') ']; %cond rats
epochfilter{2} = ['$ripth... |
0174d978af20e3e1358c013a56e594368b9e8edcf210c790de605d9b6f8cb81a | MATLAB | 7,394 | 221 | function [po,pin] = spm_prep2sn(p)
% Convert the output from spm_preproc into an sn.mat
% FORMAT [po,pin] = spm_prep2sn(p)
% p - the results of spm_preproc
% po - the output in a form that can be used by
% spm_write_sn.
% pin - the inverse transform in a form that can be
% used by spm_write_sn.
%________... |
58d246c56065495832e21f4ae3cd4df8d71719b2c65604d7891d55b2eb324c4e | MATLAB | 7,402 | 142 | function [r,v,g] = once(Delta_e, Delta_i, Iattn, allTime, stimIn)
%ONCE run the simulation once including five conditions
% INPUT arguments includes parameters of the column model
% OUTPUT arguments are the results of computation, including the time
% courses of firing rate, average membrane potential and syn... |
cb5c159984d4aa22b19c099c9d17d67536b267db5a6d47e33c97a43519b3e673 | MATLAB | 7,404 | 124 | % run amapOFshow
clear all; runMode = 'batch';
globals; initglobals;
PRINT_ERRORS = 0; PRINT_INFO=0; PRINT_NAN=0;
DATA_TYPE = 'OF';
%DATA_TYPE = 'EM';
PLOT_TYPE = {'tuning'}; % {'map'}, {'trajectory'}, {'tuning'}, {'map';'trajectory'} ;
%PLOT_TYPE = {'map'}; % {'map'}, {'trajectory'}, {'tuning'}, {'map';'t... |
4c95080eeaff9f9b8cc67e9be62527b808d3651fdc423c9e618633a5c7e81134 | MATLAB | 7,408 | 256 | function gui_advc (action)
%
% This file is needed by FASTICAG
% This file holds the callbacks for advanced options -dialog
% @(#)$Id: gui_advc.m 8776 2013-11-14 09:04:48Z roboos $
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Global variables
% Handle to the window
global hf_Fa... |
a36c027f108d37b0ae9d8200cb1abcfe5a44cec0b331baa41e918036121691e6 | MATLAB | 7,413 | 177 | % presents place fields over trajectories
%modified from amapOF. Oct 2016, ehud.
%
clear all; %close all;
globals; initglobals;
Tstart = tic;
scrsz = get(0,'ScreenSize');
PRINT_ERRORS = 0; PRINT_INFO=0; PRINT_NAN=0;
GDEVELOP=0; % development mode - plot interim plots etc (eg in getSpikes.m)
GDEBUG = 0;
DEBUG ... |
aac907b08d5680e02a507c88a9f212ad514a38a53b5e6be3aa8c591408fdcce0 | MATLAB | 7,418 | 174 | %function update_unitsTable(Sesname, elec,unit,field, val)
clear all; close all;
globals; initglobals;
DATA_TYPE = 'OF';
%DATA_TYPE = 'EM';
FigType = 'final';
FigType = 'data';
SHOW_TUNINGS = 'all'; % 'sig', 'all'
INCLUDE_UNITS = 'W'; %'W', 'W+nW', 'nW'
an_baseFig = 100;
load('unitsTableOF');
% unitsT... |
6f71fcb38f586e546805a1ecfbb3d14970d924094d5b9257b7160db992b622a8 | MATLAB | 7,422 | 175 | function plotCoherence_band ( obj, varargin )
% Plot coherence for LFP online streaming mode
%
% Syntax:
% PLOTCOHERENCE_BAND( obj, data_type, varargin );
%
% Input parameters:
% * obj - object containg data
% * data_type - type of input data (raw, ecg cleaned or filtered)
% * ax (optional) - axis where you ... |
b46330b03b675dec000f44fb20d4e9ee3c72212982c94ded9f0fa2369b57a28e | MATLAB | 7,422 | 251 | % mglTestRenderPipeline.m
%
% usage: mglTestRenderPipeline()
% by: justin gardner
% date: 06/08/2022
% purpose: Function to test mgl rendering pipeline with progressively
% more in the pipeline to see when there is a failure.
% usage: mglTestRenderPipeline
%
% args: screenNu... |
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