sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
6840add4907c311fd6f2ab3d56196844fdd894f039bfc80d83c693b7f3da8d71 | MATLAB | 2,747 | 73 | function decoder = train_array(cfg0, X, Y)
% [decoders] = train_array(cfg, X, Y)
% HELP NEEDS TO BE UPDATED
% Trains an array of decoders along a specified dimension in the data, e.g. time.
%
% X Cell-vector of length N, where N is the number of trials, that contains the training
% info... |
d5d70730c6a62d2f5c12d3ee8edfc496cbbc898f5c328f270e997376a265525b | MATLAB | 2,747 | 95 | %% CONN first-level ROI-2-ROI results to 3D Slicer model color map
% Z contains Fisher-transformed correlation coefficient values (beta
% values) for each ROI-2-ROI pair and for subject
ROI2ROIfile = 'D:\FuncMRIcloud\resultsROI_Condition001.mat';
CatlasFile = 'D:\ownCloud\PROJECTS\MRI\TPM_Catlas_Slicer4\Catlas_Mod.tx... |
de00894b9e779f09b781536d85aabfd99a36ce5ad76aac405aca60b32fbb9aea | MATLAB | 2,747 | 98 | function varargout = gatestim(signal,gate_duration,Fs,varargin)
% Y = gatestim(signal,gate_duration,Fs)
% Y = gatestim(signal,gate_duration,Fs,gatetype)
% Y = gatestim(duration,gate_duration,Fs)
% Y = gatestim(duration,gate_duration,Fs,somefunc)
% Y = gatestim(duration,gate_duration,Fs,somefunc,gatetype)
% [Y,tvec] = g... |
4949502615d89baf8e911dd3d025160d9118da8a74ea7cfd711784c9cb5f6731 | MATLAB | 2,751 | 89 | function varargout = GenSTA(ST,P,PVar,opts,varargin)
% STA = GenSTA(ST,P,PVar,opts);
% [STA,raster] = GenSTA(ST,P,PVar,opts);
% [STA,raster,Levels] = GenSTA(ST,P,PVar,opts);
% [STA,...] = GenSTA(ST,P,PVar,opts,'Parameter',value);
%
% Generate structure for STA toolbox for information theory analysis. See
% www.neuroan... |
7447ec63ae227d4e01f4b2f3780106a363a8a885382548075b035309fb4fd5c0 | MATLAB | 2,754 | 118 | function varargout = TDT_NewTank(varargin)
% TDT_NewTank
% TDT_NewTank(tankname)
%
%
% Last Modified by GUIDE v2.5 22-Mar-2011 11:58:04
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
... |
1a7a0fb38b34520027ea17d565578abac470e0b7125204faf0437d720a679e2d | MATLAB | 2,758 | 75 | function e = DAUpdateParams(DA,C)
% DAUpdateParams(DA,C)
%
% Updates parameters on modules. Use ProtocolDesign GUI.
%
% DA is handle to OpenDeveloper ActiveX control
% C is the protocol.COMPILED structure
%
% '*' as the first character of a parameter tag serves as ignore flag.
% This is useful if you want so... |
3f1fc23ca6d9986e8619847c0f2b3e14ba804a859ed005cca643953d7f161250 | MATLAB | 2,758 | 79 | % PURPOSE: attachs EVENTLIST structure to EEG or ERP structure
%
% Inputs:
%
% ERPLAB - input dataset, either EEG or ERP
% BINLIST - structure from bin detection process (bdf @ log = binlist)
% isattach - to attach or not to attach...
% (0: Add to workspace; 1: Add to ... |
cd5d5bb522e525a41901d8781d31f5e1fd71bbc7d20c0aa1225db66487531711 | MATLAB | 2,759 | 97 | function LMER_MODES_PID_RAW
% Function to prepare the regression table for Linear Mixed-Effects Regression Model
% in R
%
% Fran Hancock
% Dec 2021
% fran.hancock@kcl.ac.uk
%
%
% Function to investigate the relationships between time varying measures
% of CHI OCC HC and PID and the random effect of RUN
%
clear all
Sm... |
c1fff3bc30402fbfee5aae455222cfa1e3430698770f97b54a51169796f53f47 | MATLAB | 2,766 | 94 | function [H] = generateH(R, prior_setup)
dim_H = DMC.priors.Horseshoe.getDimH(R, prior_setup);
H = zeros(dim_H,1);
D = numel(prior_setup.T) + 1; % order
NS_total = 0;
for ss = 1:D
if(ss == 1) %
NS_total = NS_total + prior_setup.V.N_scales;
else %T{ss-1}
NS_total = NS_total + prior_setup.T(... |
e967157e3ac39d685940bc4432127e4e92da45c6cb8cdf7aec3a5c0a57fd3395 | MATLAB | 2,768 | 72 | function spikes = reintegrate_outliers( spikes, indices, mini )
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/09/2010
%
% reintegrate_outliers - handles logic of putting outlier spikes back
% into the main spikes object
%
% Usage:
% spikes = reintegrate_outliers( spikes, indic... |
29591b95f892af38cc266eaa30cd26b2655b8832d8f8fb3d61685964b84056bc | MATLAB | 2,769 | 61 | function A = set_up_Cc_matrix(G, mesh, c_idx, phi)
%set_up_Cc_matrix Set up matrix for the finite difference equations
% for the concentrations (part that does depend on phi)
phi = phi';
% Load parameters
N = G.N;
Nx = G.Nx;
Ny = G.Ny;
zk = G.z(c_idx);
elem = G.e;
kB = G.kB;
T = G.T;
dt = G.dt;
D_func = G.D_func;
%... |
623171700bd0e12cd7f8b13af0efe02620f6189ef518ebd02a773b0344df9eb0 | MATLAB | 2,769 | 105 | function Spiketimes = DB_GetSpiketimes(unit_id,epoch,conn)
% Spiketimes = DB_GetSpiketimes(unit_id)
% Spiketimes = DB_GetSpiketimes(unit_id,epoch)
% Spiketimes = DB_GetSpiketimes(unit_id,epoch,conn)
%
% Retrieves Nx1 vector of spike times or unit_id on a database.
%
% Optionally, the spike times returned from t... |
97239ec1b74dda49dd84dbf9b4d923c29e714fbcdf40c1f03eeeb8df4b6e5437 | MATLAB | 2,769 | 112 | function G = model_parameters_keep_channel_location(Li, Lm, Le, ...
w_K_channel, w_Na_channel, Ly, Lz, dx_min, dy_min, dz_min, Tstop, dt, ...
Na_channel_start_y, Na_channel_end_y, K_channel_start_y, K_channel_end_y, ...
dx_values, dy_values, dz_values)
G.Li = Li;
G.Lm = Lm;
G.Le = Le;
G.Lx = 2*Li+2*Lm+Le;
G.w_K_channe... |
16b5ca91b646fa7731f68ee3ded7d007c1e8fa1a6903fa175c8070c95938a42f | MATLAB | 2,775 | 109 | function hout=suptitle(str)
%SUPTITLE puts a title above all subplots.
%
% SUPTITLE('text') adds text to the top of the figure
% above all subplots (a "super title"). Use this function
% after all subplot commands.
%
% SUPTITLE is a helper function for yeastdemo.
% Copyright 2003-2014 The MathWorks, Inc.
% Warni... |
e0a2747e647591d373a7a5e3007b13a27c440503e8e4baa03f7358994169b597 | MATLAB | 2,775 | 75 | function [hStrings] = cosmeticsMatrix(corr_matrix, colorLim, ...
matrix_type, plot_textStrings)
% cosmeticsMatrix set the color map (pos: black, neg: red) and add the
% correlations as text strings
% INPUT:
% corr_matrix: the correlation matrix
% colorLim: 1 x 2 array, the limits for minimum and maximum of colo... |
42b0dffc1e710b82b25e8910af2adeaea55bf9368fa10ec74fd92b5382a4923d | MATLAB | 2,785 | 89 | function [ahOri] = oriTuningSubplot(tr, clu, iCluInd, trSel_yell, startBinT, endBinT)
%UNTITLED6 Summary of this function goes here
% Detailed explanation goes here
% orientatin tuning analysis
spkCell = clu.spikeTimesEp(:,iCluInd);
dirConds = unique(tr.grat1direction);
% startBinT = 0.1;
% endBinT = 0.3;
binW... |
03d5070e7f13f068ff1a05840a53d9799a2ca83727bb62961dbaf40b06592628 | MATLAB | 2,786 | 87 | function [XTrainNew,YTrainNew] = augmentDeepInsight(XTrain,YTrain)
% augment non-image samples to make it balance for DeepInsight procedure
class = length(unique(double(YTrain)));
for j=1:class
max_class(j) = sum(double(YTrain)==j);
end
[row,col]=sort(max_class,'descend');
MaxClass = col(1);
MaxClassVal = row(1);... |
2ad9c0d9c0e373e046152b855f2173feb54cb85d24f02de5f143aa93d6deb78b | MATLAB | 2,788 | 69 | function [sz1,sz2] = lme_plannedSampleSize(Zi,ZiCol,Dhat,phisqhat,effsz,...
dr,pw,alpha,gr_pr)
% [sz1,sz2] = lme_plannedSampleSize(Zi,ZiCol,Dhat,phisqhat,effsz,dr,pw,alpha,gr_pr) ... |
f3917ae4d8a4fba456ef2fc19114d94ab03e7b0ca8678e5946a62b3fa2c25f6d | MATLAB | 2,788 | 83 | function [results] = scaleDWB3(results, params, spkHistPrior_setup, addPriorForWB, couplingGroup, precomputedPortion)
% i.i.d non-mean Gaussian over spike history coefficients & constant
K = size(params.B,1);
w_mu_idx = 1;
w_sig_idx = 2;
H = double(params.H);
%w_mu = H(w_mu_idx);
log_w_sig = H(w_sig_idx);
if(... |
61af3baab8215a9a626c2cbab17057c037dbc8d5203843477b86e409e19a101c | MATLAB | 2,789 | 106 | function [L,pLL,pLH]=seq_source(trial)
% Define the chunk lengths (geometrically distributed).
%
% Input
% trial nb of trials in the sequence.
%
% Output
% L (iterations x 1) cell with the chunks length in each entry.
% pLL (iterations x 1) vector of transition proba L-L.
% pLH (iteratio... |
85ab7eaeb73955c221e87f9a0af073ae49ea8f45a08a99a77af610827e73f2f8 | MATLAB | 2,789 | 86 | function [TS,avgFR,sqFR]=DecodeStatsTSonly(FR,evt0,reg)
% Fisher F-test based classifier/decoder
%
% (c) 2014, Daniel Durstewitz, Dept. Theoretical Neuroscience, CIMH
% Mannheim/ Heidelberg University
% Edited by Aleksander PF Domanski PhD UoB 2015
% aleks.domanski@bristol.ac.uk
%
% Input Variables:
% FR: Fi... |
dcd29e348b39e6fdbf420a4aab4e55d5e8c4e2200838a3398efced27233a61f8 | MATLAB | 2,793 | 49 | % Property grid using JIDE implementation
% Copyright 2010 Levente Hunyadi
%
% Sample code
% example_propertyeditor - Demonstrates how to use the property editor.
% example_propertygrid - Demonstrates how to use the property pane.
% example_matrixeditor - Demonstrates how to use the matrix editor.
% ... |
e2cf6acbb6101853885b3bb05e7084ab5489c7e898e9a2fc27c2fe364a4796b4 | MATLAB | 2,794 | 75 | function TSL_pre_post_checks()
% Load and save summary info from the behavioral data of all the subjects.
%
% Count numbers of pre- and post-check mistakes.
% ======================================================================= %
% ===== * ===== General parameters
% =======================================... |
087dc8a0b0a9da71d878ae04be62cfbdcb6be35522a0ce42ba928802c6923ec5 | MATLAB | 2,801 | 109 |
%%This function is to get the xticks and xtick lables if we plot the
%%waveform with two or more columns.
% *** This function is part of EStudio Toolbox ***
% Author: Guanghui ZHANG & Steven Luck
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2022
function [xtickout,xticklabelout] =... |
93b1100262ea8230c6e6e90de92285953afc7441b0e86fb4e62091c41b372367 | MATLAB | 2,805 | 83 | function [XTrainNew,YTrainNew] = augmentDeepInsight2(XTrain,YTrain,num)
% augment non-image samples to make it balance for DeepInsight procedure
class = length(unique(double(YTrain)));
%num=500;
for j=1:class
max_class(j) = sum(double(YTrain)==j);
end
inx=1:length(double(YTrain));
XTrainNew=[]; YTrainNew=[];
for ... |
2b8ca50905f65a98499f607bd4269ea5340005a295a8a33dc59c5db5caf71a0f | MATLAB | 2,814 | 115 | fileName = 'p0Ve';
saveVideo = true;
% Video file location
vidLoc = '.';
% Video file name
vidName = fileName(1:end-4);
% Video frame rate
vidFrameRate = 20;
% Choose scale of velocity vector fields
vfScale = 1;
if saveVideo
disp('Writing video to file...'); tic
fig = figure('Name', 'fileName');
% Create video file
vi... |
c6b5e7ed11461b76b42ddd1e4c92218a7ff6e2dc5b676f285225b3537f71523b | MATLAB | 2,816 | 97 |
function plot_boxplot(data, varargin)
% Plot boxplots.
% used in TSL_analyze_ratings.
%
% data
% (N_data, N_boxplots) data.
N_groups = size(data,2) ;
% === Default arguments
eps_fig = 1 ; fig_fig = 0 ; pdf_fig = 0 ;
fn_save = 'test' ;
save_fig = 1 ;
fig_name = '' ;
x_lab ... |
6618f6777664ef8925c554a705060ac091e7ed63fd5f155dd3f87b6fa151fb98 | MATLAB | 2,817 | 96 | function plot_qti_invariants(s)
% function to plot QTI invariants for different fits/protocols
%
n_fits = max(size(s));
% by default, we take the middle slice to be shown
slice = round(size(s{1}.s0,3)/2);
% open a figure
figure()
% for each fit (invariant structure), we plot the QTI main invariants
if license('tes... |
302b3ffe4e4b744e7f9cf243c0d0116a6825468c0a938973aa7a8043ddec4fdc | MATLAB | 2,820 | 64 | function [avg_corr, correlations, corr_atanh_T] = correlations(matfile_table,...
hemisphere, roi_name_variable, var_to_corr)
% CORRELATIONS calculate correlations for a collection of sessions
% INPUT:
% matfile_table: The table containing beta values to correlate
% hemisphere: a pair of hemisphere to compare
% ... |
44c1cc3a617bdea0685614f5d5d528b878d36b8018229b05dfe54c3fac9fa993 | MATLAB | 2,822 | 73 | function marks_struct = marks_add_label(marks_struct,info_type,mark_prop)
if isempty(marks_struct)
nflags=0;
else
try eval(['nflags=length(marks_struct.',info_type,');']);
catch, nflags=0;end
end
flagind=1;
switch info_type
case 'chan_info'
if ~isempty(marks_struct);
if isfield(m... |
4dad8bd42ff9e46b53bfee3296ebc9c8eef7b4d48fe833ae7a1ebef07c943a58 | MATLAB | 2,823 | 94 | %% Batch histogram analysis.
%
% 1) Open DB_Browser and select an experiment you would like to process
% 2) Click your mouse in this script to give it focus and tap F5 on the keyboard to run
% 3) All units of the experiment selected in DB_Browser of the experiment
% and protocol (ex: ProtocolName = 'RIF')
% Note: An... |
f45580872bd24db61a1a3506cdc4bbdbbabda33d657f156bb3f8106891cb5d66 | MATLAB | 2,823 | 89 | function [ Structs, Locs, LocLinks ] = FetchData(Server, Port, Database, cellIDs )
%FetchData - Collect data from a database
javaaddpath('.\sqljdbc4.jar');
ConnString = ['jdbc:sqlserver://' Server ':' num2str(Port) ';database=' Database];
disp(['Connection string: ' ConnString]);
conn = databas... |
0959d86288bceaa691738b3cb8813aa3ffaa10ac52131687e114fe3d69e7b4eb | MATLAB | 2,827 | 70 | function trialCounts = parseNLX_TTLsForRatios(inputData)
times = inputData (:,1);
TTLs = inputData (:,2);
hasDelay= ismember(4128,TTLs);
noTrials = numel(find(ismember(TTLs,[9,18])));
noLTrials = numel(find(TTLs==9));
noRTrials = numel(find(TTLs==18));
TrialStartIdx = find(ismember(TTLs,[9,18]));
TrialA... |
145fa5df423994880343f55531e994eed92724e9ffb1038590d1df9bac4d8bcd | MATLAB | 2,827 | 102 | % Usage: strMat = mat2colon(Matrix, options)
%
% Converts a matrix (row x col) into a string using MATLAB colon notation (single resolution).
%
% Options are:
%
% 'Delimiter' - 'on','yes','off','no' {default on} : Including square brackets []
% (or curly brackets {} whe... |
a7598b493525b52b4375365505b145131471fe37b19d9bb60068e46cda18b0f3 | MATLAB | 2,830 | 84 | function s = irepistructure(TBI,nslices,ndummies,ntp,skip,PreInv,InvDur,TI1,ROFlip)
% s = irepistructure(TBI,nslices,ndummies,ntp,skip,PreInv,InvDur,TI1,ROFlip)
% Pulse sequence parameters
s.TBI = TBI; % 2.092*1000; % time bet inversions in ms, like the TR
s.nslices = nslices;
s.ndummies = ndummies;
s.ntp = ntp;
s.ski... |
c8afcc9a1de2b143fa9366969b78359f3dc3a6d7ff1ee78564569e71cf7072ce | MATLAB | 2,833 | 89 | function [avgFR,seFR,Ft2,Rt2,Ft2ciL,Ft2ciH,TS,dfnum,dfden]=DecodeStats_GPU(FR,evt0,reg)
% Fisher F-test based classifier/decoder
%
% (c) 2014, Daniel Durstewitz, Dept. Theoretical Neuroscience, CIMH
% Mannheim/ Heidelberg University
% Edited by Aleksander PF Domanski PhD UoB 2015
% aleks.domanski@bristol.ac.uk
%... |
60e1475ca4da57d6cf77900596c0897286560d7022a7944bc090857e36ca9d3d | MATLAB | 2,834 | 91 | clc;clear;close all;
Fig12=figure();
Ntrials_2 = 50000; %Ntrials_2: number of learning cycles
N_mu=100; %There are \mu independent embedded patterns, 500 simulations (number of simulations)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%line: R=1
yline(1,'--k','Linewidth',2)
hold on
... |
6393f18c7d04ff5f7ce05f7848592da1fae2b73ed431dfff44d5d17747a1cdcf | MATLAB | 2,844 | 96 | function logTrial(centerReward, response) %#ok<*INUSL>
% Reports stimulus and response parameters
global gf
if ischar(response), % Enter string as arguement to get header
headings = {'Trial','CorrectionTrial?','StartTime','CenterReward?','F1','F2','F3','F4','H... |
67fefd8112855e03220ecb78174377b713fb922a4eafb59c7bdb9017645ba271 | MATLAB | 2,846 | 86 | function [ActT,Za]=ShowAssemByTrialG(Za,...
Tmtx,...
STPat,...
EvtT,EvtL,...
Lag,crit,show)
% Plot assembly activation during a trial
%
% (c) 2014, Daniel Durstewitz, Dept.... |
3dc916b23f95249e5d3b747c49abeb3e6820020b1f053f360054fff7d4137262 | MATLAB | 2,848 | 89 | %% Set variables
clearvars -except dataDir
paradigmNum = 'reward_history_study';
SeedName = 'aPC';
numSubj = 51;
roiNum = {1, 3, 4, 5, 6, 7, 8, 10};
num_Cond = 7;
load(strcat('dataComp_condition', num2str(num_Cond)))
%% loop through the data
for seedRegion = [2,7]
if seedRegion == 7
roiNum{6} =... |
97622e8c9f88eb86a31b1f4d548327d226cfb805386cec7509ae5c8c61cd2a9c | MATLAB | 2,850 | 81 | function progress_bar(progressFraction, updateEvery, infoString)
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% progress_bar - improved progress indicator
%
% Usage:
% progressBar(progressFraction, updateEvery, infoString)
%
% Description:
% PROGRESSBAR(FRACTION, UPDATEEVERY, INFOSTRI... |
248734950124648e19420d711b10a31f9d6ce2e60be2b630e944c4d75f973745 | MATLAB | 2,851 | 83 | function decoder = train_beamformerMT(cfg0, X, Y)
% [decoder] = train_beamformer(cfg, X, Y)
% Trains a linear decoder "beamformer style" to optimally recover the latent components as
% prescribed in X. Several decoders may be trained indepedently, corresponding to several
% latent components.
%
% X ... |
e9052d8a5fec24f0ec06a8a0b76405884c24e14e4c6ea439e8f94c5cc5055cee | MATLAB | 2,851 | 106 | function createDiffuseFibrosisProblem(filename, fibrosis_density, mesh_spacing)
% This function creates tissue of a single consistent property, then fills
% it with fibrotic occlusions of the requested density.
% Define the diffusion tensor
D = [ 3, 0; 0, 1 ]; % Fibre-biased conduction
% Define the physical size o... |
4476e8b081ec73cfa4afbbe20a95c77b3b5ee764e00252226a1fd9f650eff387 | MATLAB | 2,852 | 89 | % PURPOSE : sets background and foreground color of the current ERPLAB's GUI
%
% FORMAT :
%
% handles = painterplab(handles, type);
%
% handles - GUI's handles structure
%
%
% *** This function is part of ERPLAB Toolbox ***
% Author: Javier Lopez-Calderon
% Center for Mind and Brain
% University of California, Davi... |
006e2890cd92343e25528e8c2277e69ca6a04d1069f2215e67b329a96c03a3b3 | MATLAB | 2,854 | 85 | function updatetag_SanesLab(gui_handle,module,dev,paramtag)
%updatetag_SanesLab(gui_handle,module,dev,paramtag)
%
%Custom function for SanesLab epsych
%
%This function updates a parameter tag in the RPVds circuit, and resets the
%color of the GUI dropdown menu.
%
%Inputs:
% gui_handle: handle to the GUI dropdown menu... |
d27e104c5ac74aa23144890404a0431219c947348ed9bc104d456904e9493835 | MATLAB | 2,858 | 120 |
% Author: Guosheng Lin (guosheng.lin@gmail.com)
% perform segmentation prediction on user provided images in HandOnFace dataset
% specify the location of your images, e.g., using the following
% folder which contains serveral example images:
% ds_config.img_data_dir='../datasets/custom_data';
function demo_refinen... |
1d7adf59d52e511450559376a8ac69504be0a7a26feaa7a13320af7cee2a8a04 | MATLAB | 2,859 | 108 | %% finds the suprising data in the same way as the experimental analysis
%close all
oriSequence = (OrientationsStore);
diffOri=[1 diff(oriSequence)];
modDiffOri=mod(diffOri,6);
% plot(oriSequence,'-o')
% hold on
% plot(modDiffOri,'-o')
clear ExpectedA
ExpectedA(1:2)=1;
ExpectedOrientation =[];
%ExpectedOrientation(... |
d0597ce74ad2008bb917e1f0e6ccfe812406fd702ed6fda57009e0efa71e237c | MATLAB | 2,860 | 109 | % separazione dei peaktrian nei layer (per ora solo layer 1)
clear all
clc
%% Selection of the peak folder
start_folder = uigetdir(pwd, 'Select the PeakTrains_mat folder');
if isempty(strfind(start_folder, 'PeakTrains_mat'))
f = errordlg('Folder not corrected', 'Folder Error');
return
end
disp(start_folder);
c... |
118beed116eccb9e792cd35bca2317ad547dd7f054e448787a8f6819e396f3aa | MATLAB | 2,865 | 106 | function [lp, dlp_w, dlp_h, stim_sig_0, stim_dsig_0, d2lp_w] = stimulusGaussianPrior(ws, H_stim, stimPrior_setup, trp)
% i.i.d. multivariate normal prior distribution over columns of ws with covariance matrix
% defined in GMLMprior_dmcStimVar
%
% calculates prior and all derivatives
if(isempty(H_stim) && isempty(ws))... |
260430890d0b72d0b947282a5949cc66a526ebf0fe90552e1640f66c1238232c | MATLAB | 2,876 | 137 | function C = TrialFcn_DoubleWavBuffer(C)
% C = TrialFcn_DoubleWavBuffer(C)
%
% Daniel.Stolzberg@gmail.com 2015
global G_DA
persistent buffer bufferSize startidx smallBufferSize lastID
vprintf(2,'TrialFcn_DoubleWavBuffer.m')
if C.tidx == 1 % setup
lastID = 0;
startidx = 1;
% StimFile = 'DMR.... |
f3c10d9d23490408591927092801438fd3c1d84c8cff1d8eafc0a34eb9d15a41 | MATLAB | 2,882 | 73 | function perm_cluster_t = compute_cluster_perm_stats(beta_CP, ...
alpha_level, all_names, n_perm, n_betas, n_chan, nF_data, nT_data, n_subj)
% Compute the distribution of the cluster-level statistics based on
% shuffled data.
%
% beta_CP: (n_betas, n_chan, nF_data, nT_data, n_subj, 2, n_perm)
paired_tes... |
fed9227975c5c610309942c7c83d5351c656b34b6535d21b8d01a404d1504feb | MATLAB | 2,888 | 105 | function [net_dist] = netpd_rewire_dist(mat,distmat,rewiremeth,Nreps,prop_rand,nbins)
% inspired by Gollo, measure network overall distance using the network
% portait divergence
if nargin < 3
rewiremeth = 'randmio' ; % func from BCT
end
if nargin < 4
Nreps = 100 ;
end
if nargin < 5
prop_rand = [ 0 ((5:5:... |
a3bdece89f1061008a89fdfac18421c4cb655b439ec656ccd4b199e047b95cfb | MATLAB | 2,889 | 63 | function Handle=getSigmoidHandle(options)
% creates a function handle to a specific sigmoid
%function Handle=getSigmoidHandle(options)
% This function creates a function handle to the sigmoid specified by its
% name in options.sigmoidName.
% Additional parameter is the options.widthalpha which specifies the
% scaling ... |
129b303a114b0d5528ef2e08dbce38416c6f4f8cfecf228b679552dda062e427 | MATLAB | 2,890 | 68 | %reconstruct 3d TOD map from the neural network output vector file .npy
clc;clear;
repeat = 1;
sample_img = 1;
function flag = generate_test_Recon(repeat, sample_img)
%%
%loop several times for the data generate.
%%
files = dir('.\Matlab-CODE\Kim\tJN*');
% Get a logical vector that tells which is a directory... |
8f253a9ec227cb031567ab99673b4149b0309f4e424eea95084baa3ac6e773a9 | MATLAB | 2,890 | 74 | function [Ass]=BSciCont(P,D,Ass)
% Calculates bootstrapped confidence intervals on loading and activation of factor scores
% Deals with long time-series typical of sleep recordings rather than short single-trial behavioural data.
%
% Core part of Factor analysis Assembly detection workflow
% NB Run FAassem_.m on ... |
a53bfaa1755b8d90b85d1bbed0844583d0fc139845aa41ed654e22212c07e629 | MATLAB | 2,894 | 104 | function [loos,kss] = psislw(log_lik, Reff)
%PSIS Pareto smoothed importance sampling
%
% Description
% [LW,K] = PSISLW(LW,Reff) returns log weights LW
% and Pareto tail indeces K, given log weights and optional arguments:
% Reff - relative MCMC efficiency N_eff/N
%
% Reference
% Aki Vehtari, Andrew Gel... |
0d3211261f8c0cfebf6e01905b8aa6228124acdbfec3bd4c33d15aa30e7565a3 | MATLAB | 2,899 | 74 | function fibThreshold = find_threshold(fibId, rFib, fiberV, nrnModel, config, MRG_coeff)
switch nrnModel
case 'Gaines/Motor'
dirModel = 'neuron-demo\neuron\Gaines\';
hocName = 'motor.hoc';
case 'Gaines/Sensory'
dirModel = 'neuron-demo\neuron\Gaines\';
hocName = 'sensory.hoc';
... |
36bbd9144885c6f40c25940cb2b2cc685afc7abd502e35cd80edaac80a5983d7 | MATLAB | 2,902 | 79 | function filenames = export_stl(model, outputFolder, selection_prefix)
% EXPORT_STL Reads the MPH file in model_dir and export each domain under a
% specific selection with a fixed prefix into stl files. The selection must
% be of type Domain and it may contain multiple elements
%
% [filenames] = export_stl(mode... |
7b8bdc7a0f94b653dce0b6881903437aca607c0407d636b17b0aeffe9ef6da62 | MATLAB | 2,902 | 82 |
%==================== PlotSingleCellSDF.m ====================
%Plot SDF of neural response to a single stimulus (size-distance
% combination) for each neuron
%==========================================================================
close all
clear all
%================= SET PATHS AND LOAD DATA
if ismac
Pre... |
904273786f6f1f9751060632295832d5cf95d2bbc241f7ba472c4cf24898887b | MATLAB | 2,902 | 105 | % Fig7_a
% Code to generate spiking example traces during optogentic stimulation in V6
% session parametrs
cfg.sessionID = 475;
figName = 'Fig7a';
% start end end time when data was recorded
sessionStartT = 200;
sessionEndT = 860;
% load data
addpath data
load('Fig7_a_data.mat')
% define channel mapping
mapna... |
c1f758019bc5f837337a9df60f02f77b993d3aa9d348e9571f7e4e9a1c77a4b1 | MATLAB | 2,904 | 94 | function [fstat, pvalue, rss_reduced, rss_full] = ... %, reduced_params, full_params] = ...
measure_gc_multivariate(x1, x2, xrest, lags, plotFlag, constantFlag)
% [fstat, pvalue, rss_reduced, rss_full] = ...
% measure_gc_multivariate(x1, x2, xrest, lags, ...
% plotFlag, constantFlag)
%
% Measure multivaria... |
b3362f372997cce197cc8f6953917480f2f091ae0efa48164e1386acdd200584 | MATLAB | 2,905 | 60 | function [slicestructupdate] = analyzetpstack_updatecelldraw(ud,i,slicestruct,currdir,numpreviewframes)
% ANALYZETPSTACK_UPDATECELLDRAW - construct a lookup table for slicelist, drift, and ancestors, if it doesn't already exist
if isempty(slicestruct),
slicestruct.slicelistlookup.test = [];
slicestruct.slicedriftlook... |
c092050297added5fa1c0869b5b0944c1129ed2b383b6510fd789a6142c617a3 | MATLAB | 2,907 | 119 | function steady_state_spectra
%
% Shows the challenge presented to the brain across sound spectra for two
% vowels being discriminated at each signal to noise ratio.
%
% Stephen Town - 14 March 2021
% Base data
fs = 50000;
F = [460 1105 2857 4205; % Formants
730 2058 2857 ... |
a37e2ff921f4afbc3d959be469d8b7ae9d187a012ebe2843f55b59a50fcd6d7e | MATLAB | 2,908 | 82 | function [pid, ppid] = print_pointwise_pid_iccs(Pxxy,normalise)
if nargin<2
normalise = false;
end
[Na Nb Ny] = size(Pxxy);
P2 = marg_maxent2(Pxxy);
Pxx = sum(Pxxy,3);
Pxx2 = sum(P2,3);
Py = squeeze(sum(sum(Pxxy,1),2));
Pay = squeeze(sum(Pxxy,2));
Pby = squeeze(sum(Pxxy,1));
Pa = squeeze(sum(sum(Pxxy,3),2));
Pb ... |
054050daa982f0923e3f77984ecef5c078e53e21ab98585dce50e101c40315d3 | MATLAB | 2,912 | 99 | function ep_SaveDataFcn_SanesLab(RUNTIME)
% ep_SaveDataFcn_SanesLab(RUNTIME)
%
% Sanes Lab function for saving behavioral data
%
%
% Daniel.Stolzberg@gmail.com 2014.
% Updated by ML Caras 2015.
% Updated by KP 2016. Saves buffer files and associated ephys tank number.
datestr = date;
%For each subject...
for i = 1:... |
0d8b763d7ab6e4117991aea1f743aba101cee00a8d3e0d9b60702e6aaad09fc5 | MATLAB | 2,912 | 69 | % Example script for processing and analyising Electrodemal Activity (EDA)
% _________________________________________________________________________
% Last modified 23-11-2010 Mateus Joffily
% Matlab data file (.mat) must contain 'data' and 'fs' variables:
% data - m-by-n matrix of EDA data (m channels by n s... |
4e242491f885a1647e7d5e9b020c620e2eceabdae7d6db6dbb13e6fb80f9d3ec | MATLAB | 2,914 | 111 | function [sig, dsig, full_sig] = GMLMprior_dmcStimVar(H, prior)
K = zeros(size(prior.S));
if(nargout > 1)
dK = zeros([size(prior.S,1),size(prior.S,2), numel(H)]);
for ii = 1:size(prior.S, 3)
hps_idx = prior.hyperparams_idx{ii};
type = prior.covTypes(ii);
if(strcmpi(type, ... |
90aeb3a92d63d03517465aaebe243bba04812086ce33a57b3cc80708796aa267 | MATLAB | 2,914 | 106 | function [h,MISE,F]=UniKDE(X,h0,Ef,Z,ub)
% Fit spike train rate kernel: Univariate nonparametric density estimation with bandwidth selection
%
% This routine implements univariate nonparametric density estimation
% with bandwidth selection based on minimizing the mean integrated
% squared error (MISE), E[int((f^(x,H)-f... |
1ccbd62d7c1a2432188d409ee529352ae184709d866c205d227086756e069f60 | MATLAB | 2,916 | 98 | function [result, max_stitching_sq_dist] = stitch(segments, stitching_sq_tol, branching, update_plot)
% In case two vertices of a facelet lay on the plane this means
% that onther facelts could have the same segment in common:
% need to delete these doubles segments
[~, idFaces_avail, ~] = unique(cellfun(@(x) num... |
95c21dcc534f634db719c3e9b4b78119bed290cc37110f6338cccb8d35d5cfbe | MATLAB | 2,917 | 71 | function [maxFig minFig] = correlationPlots(condTimeseries, pCorrelation_tril, roiLabels)
% This function calculates representative correlation and anticorrelation
% traces from the partial correlation analysis
%
% Compiler(s): Renee Hartig (renee.hartig@tuebingen.mpg.de) & Ali Karimi
% (ali.karimi@brain.mpg.de)
%
% In... |
ed135d23e598916546a640a679da15117a4e4801a9e38eada045e640b72fecea | MATLAB | 2,917 | 113 | function Silhouette_scores
% Script recreates figure 6 from the manuscript. This compared the silhouette scores between parameter distributions recovered
% from applying the SOEA20, SOEA45,MOEA20 and MOEA45 methods.
FS1 = 7; % fontsize
subjects = 20;
simulations = 100;
% load simulation results
load('Total_S... |
938775eef3a6a86ddd45c8519ca09bdecb142c08dda194fc8e0066028d8a8461 | MATLAB | 2,920 | 91 | %Code by Isaac Arias S - YachayTech University
%Biomedical Engineer Student.
%School of Biological Sciences and Engineering.
%Convertidor_227_final.m allows the image pre-processing
clc
clear all
close all
% Select the specific database that contains the images to be pre-processed.
myFolder = uigetdir(); ... |
9f9fc1f25c57f8d6aa7e7aa9c38bd27fcc31dc7379bb08b4bc898b0bde6203f6 | MATLAB | 2,920 | 80 | function [neurAll,neurProj,motDat,baseIdx] = getDataBinnedToVideoFrames(db,P,binP)
if isfield(binP,'focusOn')
P.focusOn = binP.focusOn;
else
P.focusOn = 'video';
end
%% clean time when flashes for alignments
fprintf('*** Cleaning the flashes... ***\n')
tic
for k = 1:P.nMic... |
dcb563ac6907b64e5bd13cd4946b13f7b044de7c15d34767180f56660989bbdc | MATLAB | 2,920 | 99 | function value = mgRunTrial(net,environment,startState,nextState,finalState)
%net = established network
%environment = state space
%start = starting state
%goal1 = next goal
%goal2 = final goal
%delay1 = delay after text screen, before response (delay between qLoad
%and qRead)
%delay2 =... |
789284ea4e7b3bf1564fb9944c82e063386e2264b641efa9a21b915d5bdb3f3b | MATLAB | 2,926 | 115 | function [MVPC, filenamex, serror] = savemvpc(MVPC,filenamex,modegui,warnop)
serror = 0;
if nargin < 1
help savemvpc
return
end
if nargin<4
warnop = 1 ; % no warning for overwriting a file
end
if nargin<3
modegui = 0; % no uiputfile
end
% Save MVPA file (save as)
MVPCaux = MVPC;
name... |
67285f3df30e060ff8161867be8ff2328ba719f76e40b74d32638bccd5a09ba7 | MATLAB | 2,932 | 94 | %% Master Analysis file
% All analysis performed on light transmission recordings of ciliary beating in the zebrafish nose
% It is possible to run the analysis on aligned data.
% Assumes that the input file is a .mat file, and only contains one variable with the recording
%% Step 0: Select the recording
% Never run ... |
e931442b01600ef4dfd04b147f4b39930f310e9b2ad41e5fc031c1819420949c | MATLAB | 2,936 | 96 | % Code to run spike train Xcorr function in parallel on Blue
% Crystal.
% APFD UoB March 2016
% Dependencies: restrictTranges.m , catpad.m, CompCCMtx.m, CCMtx (MEX)
clear all
close all
p.rat = 'JaroslawLONG2';
if ispc
p.home = [getenv('HOMEDRIVE') getenv('HOMEPATH')];
p.pat = 'C:\Analysis\Ass... |
6615e922b27692a98671e1c668c93a04384a8515f2d12f44a7605c0ee4d95646 | MATLAB | 2,940 | 80 | function Xhat = decode_array(cfg0, decoder, Y)
% [Xhat] = decode_array(cfg, decoders, Y)
% Decodes the data along a specified dimension, e.g. time, using an array of decoders.
%
% decoders Cell-vector of length D, that contains an array of decoders, where D is the number
% of decoders. This arra... |
c286dc2b4d03e0c202dd7cf7185d9a8096eadd04d208d84f096e1d78ac2a6274 | MATLAB | 2,941 | 110 | function GenerateRICAModel(self)
%GENERATERICAMODEL Creates dimensionality reduction model for features
% GENERATERICAMODEL(SELF) creates RICA model using the streams and cams
% specified in config.txt
%
% If model already exists (i.e., model for specified stream + cam combo,
% and NUMDIMENSIONS), asks whether ... |
8412aa6f759e6d05148a055dd8632983e7c5f47afeba420ba1b1bc9af5eb9426 | MATLAB | 2,943 | 93 | %
% This script loads CCEPs of one subject and plots a distribution of
% latencies to distances from the stimulus pair
%
%
% Dora Hermes, Max van den Boom, Dorien van Blooijs 2022
%
clear
close all
warning('on');
warning('backtrace', 'off')
myDataPath = setLocalDataPath(1);
track_path = fullfile(myDataPath.input, ... |
8346f2196f489cb9bc8428fc18e112e688798ecb87196055f1b27017d3a88f69 | MATLAB | 2,944 | 107 | function gamma = shrinkageGamma(X, memEff, feedback)
% [gamma] = shrinkageGamma(X[, memEff, feedback])
% Returns the optimal shrinkage parameter for data X,
% as described in Blankertz et al. (2011) Neuroimage.
%
% X Matrix of size F x N, where F is the number of features and N the number of trials,
... |
1789b36d4325c429eac973613e877e5f97d7e9b9878d2a5e205ff608150209ae | MATLAB | 2,946 | 85 | function V_wave = get_waveform_TCS2(NI_params, target_temp, base_temp, pulse_dur, ...
foreperiod, postperiod, active_zones)
% Returns the intensity (V) for one TCS2 pulse.
%
% Inputs
% target_temp targeted temperature.
% pulse_dur duration of the laser pulse.
% SR sampling rate... |
9f0af04274d905b93d3803e52b32b1e7d9436e5de3677bd46127aee678c28cea | MATLAB | 2,946 | 85 | function DB_CreateUnitPropertiesTable(conn)
% DB_CreateUnitPropertiesTable
% DB_CreateUnitPropertiesTable(conn)
%
% Checks that db_util.analysis_params and (currentdatabase).unit_properties
% exist and are current.
%
% This functions is automatically called by DB_CheckAnalysisParams
%
% See also, DB_CheckAnal... |
fb89451f5bc61980a2677eb57e32dc8dfa50db54b84ca21590854346bae15a0e | MATLAB | 2,948 | 105 | function [outdir] = ieeg_FSsurf2T1space(FSdir,outdir)
% Function ieeg_FSsurf2T1space(FSdir,T1file,outdir) converts Freesurfer
% surface to a gifti file in freesurfer space and then converts this gifti
% to a gifti file in the space of the T1file
%
% Input:
% FSdir: freesurfer directory, if [] will provide a popup
... |
3ba56a131987e2677cf294ac19b2f0a80f749497f439ef53f190386a690a5595 | MATLAB | 2,950 | 55 | % This function creates indices for the train-test data for each
% participant.
% LSTM is sensitive to the length of the sequence and is not capable
% of handling the data in the form of long sequences like a complete trial. Therefore, gait cycles are
% considered as individual sequences of data for training and test... |
166d5923b27c8a58329838c06c60c114b31656f368c4e8c3346eb7a325235bf3 | MATLAB | 2,952 | 108 | %Function to output 1 if the desired area was looked at for the
%predetermined period of time, and 0 otherwise.
function X = Trial_Run(TestValue, s)
f = findFigure('Fastrak','color','w');
%set(gca,'xlim',[-5 5],'ylim',[-5 5],'zlim',[-5 5]);
axis([-5 5 -5 5 -5 5]);
axis manual;
grid(gca,'on');
view(3)
cla
h = line(n... |
56b751d549bbc17fe332da37e593330daeb2794ce9e80337af7fb4fbe312a429 | MATLAB | 2,956 | 69 | function [matfile_table] = fix_sessions(matfile_table)
% FIX_SINGLE_SESSION fix sessions where amygdala is missing. In addition,
% check consistency of ROI names amongst sessions with or without amygdala
% INPUT:
% matfile_table: table of session beta values
% Get number of ROIs in each session
num_sess_ROIs = cellfu... |
aacfd5f41de6c1c783666c5512638aed19716cd6a84f914bb917c5dbacb38489 | MATLAB | 2,957 | 97 | function r = mri_glmfit_pcc(glmdir)
% r = mri_glmfit_pcc(glmdir)
%
% Computes the partial correlation coefficient (PCC) for each contrast
% in the output dir of mri_glmfit. It also computes a z-score map. The
% z is "two-sided" meaning that if it is converted back to a p, it
% must be done with a two-sized computation ... |
84bb14cdf9820228d19d76410985c345f3df9c89bcfc630ddd083d6ea4f5e6f0 | MATLAB | 2,963 | 122 |
% Author: Guosheng Lin (guosheng.lin@gmail.com)
% perform segmentation prediction on user provided images.
% specify the location of your images, e.g., using the following
% folder which contains serveral example images:
% ds_config.img_data_dir='../datasets/custom_data';
function demo_refinenet_test_example_gtea(... |
6bc1bdb9fe72283d293d9444042613eccac33978d5d84dbdbc326aa629666c54 | MATLAB | 2,967 | 111 | function varargout = shapedata_wave(wave,tvec,params,dimparams,varargin)
% data = shapedata_wave(wave,tvec,params,dimparams)
% data = shapedata_wave(...,'PropertyName',PropertyValue)
% [data,vals] = shapedata_wave(...)
%
% Reshapes continuously sampled data based on some parameters (dimparams)
%
% PropertyName ... P... |
b36aa1d09fdebd972d1b0fe31e2b5aa2cf02f8ea1b10d48bd0ad265d22f8c74f | MATLAB | 2,968 | 95 | function cdata = loadIcon( filename, bgcol )
%loadIcon Load an icon and set the transparent color
%
% cdata = uix.loadIcon(filename) loads the icon from the specified
% filename. For PNG files with transparency, the transparent pixels are
% set to NaN. For other files, pixels that are pure green are set t... |
e60bf6344d8f9db867c36ebf08cff917f25a28f9b5c334609cea3fd6c6ee3e15 | MATLAB | 2,968 | 84 | %% adjustHMCstepSize
% Updates the HMC step size parameter using dual averaging given a sample
% inputs:
% ss - current sample number
% HMC_state - current HMC state (constructed by runHMC_simple)
% setupSizeSettings - settings for algorithm, including update schedule (see setupHMCparams)
% ... |
362d9e8da89253d5fcbe2a094a3cc536e7748ec1859460fe1a9d3af8cb6a8adf | MATLAB | 2,973 | 41 | function out = get_M_9x9_from_d_c(d,c,l)
out = [
[c(1, 1, 1, 1) + d(1, 1)^2, c(1, 1, 1, 2) + d(1, 1) * d(1, 2), c(1, 1, 1, 3) + d(1, 1) * d(1, 3),...
c(1, 1, 1, 2) + d(1, 1) * d(1, 2), l(1), l(2),...
c(1, 1, 1, 3) + d(1, 1) * d(1, 3), l(3), l(4)];
[c(1, 1, 1, 2) + d(1,... |
3e6c63a6d8dff38b2c9bbe125fca32f3caa406dee9b6cd40b01fafc20b561804 | MATLAB | 2,974 | 123 | clear all;
addpath('../');
% Gives me: X (labels), Y (data), time, label
tmp = load('../data/testdata_orientation.mat');
Y = tmp.Y; % Y: features x time x trials
X = tmp.X';
time = tmp.time;
label = tmp.label;
phi = X * (180/8); % Presented orientation in degrees
numF = size(Y, 1);
numT = size(Y,... |
2b6a7951435900975b6289e0d9c51a26d533cf3db14b8335f9fb1a0cd18717c0 | MATLAB | 2,978 | 107 | function PL_IGNIT_ALL_PID_RAW
% Function to prepare the regression table for Linear Mixed-Effects Regression Model
% in R
% The metric variables are d here
%
% Fran Hancock
% Dec 2021
% fran.hancock@kcl.ac.uk
%
%
% Function to investigate the relationships between time varying measures
% of CHI OCC HC and PID and the r... |
3454f9892293e436b85ea209e394ac20accf1525b81c75dc0c2e8a665a4c7bb7 | MATLAB | 2,980 | 122 | %% BCI dataset, Ulster University
% preprocessing pipeline
% Writtern by Vahab Youssof Zadeh
% Update: 02/23/2022
clear; clc, close('all'); warning off
%% Initial settings
%- Brainstorm dir
bsdir = '/data/MEG/Research/BCI_Ulster/BCI5';
bs_path = '/opt/matlab_toolboxes/brainstorm3';
addpath ./functions
ft_path = '/op... |
a53006d052231a570cac76ca54333b2ef0f20942297141912fbcc9d169c98a76 | MATLAB | 2,980 | 131 | function [FracCorr FracCorrShuffCIL FracCorrShuffCIH]=DecodePredErr_CV(FR,evt0,reg)
%
% (c) 2020 Aleksander PF Domanski PhD UoB
% aleks.domanski@bristol.ac.uk
% Input Variables:
% FR: Firing rate matrix [units,time x no. trials]
% evt0: Event category labels (either 1 or 2) [no. trials]
% reg: Regularization paramet... |
7723b6e639f7cf35e101836332a9fc869aad45082630c39a316e538d7f201d65 | MATLAB | 2,983 | 101 | function plotPatternLocs(allLocs, pattTypes, realTime, ntrials, nspacebins, smoothScale, useContours)
% Takes the patterns cell array ALLPATTERNLOCS from findAllPatterns.m and
% plots the distributions of all patterns over space
plotTime = true;
if isscalar(realTime)
realTime = 1:realTime;
plotTime = false;
en... |
d02869f2dd6fb4e4c78fa7351ddbb3e1115d51689aba83207c197f3ae61e0d97 | MATLAB | 2,992 | 72 | function [TmtxS,iFRs,unit_IDs] = SelCellsSleep(fn,twin,minFR,critCvBW,iFRtype)
% select cells from PFC and HC data sets (Continuous data case)
%
% Aleksander PF Domanski PhD UoB 2015
% aleks.domanski@bristol.ac.uk
%
% Corrects for mismatched unit numbers if using data generated on Blue Crystal.
% Cuts up time se... |
369dcbb4e6943086eff387045e79d1c251de64c58a1fc1e5788174b5a42677ad | MATLAB | 2,994 | 100 | function ImportVideos(self, importTable, varargin)
%IMPORTVIDEOS Import new videos into project
% IMPORTVIDEOS(SELF, IMPORTTABLE) imports new videos, with video names
% and paths contained in IMPORTTABLE, into the project
%
% IMPORTTABLE(:,1) contains the name of the video in each row
%
% For single-camera proj... |
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