sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
494866467dcdf392ea2b61bea17038acb3d5abdf0c713ba7f060bad2bb49c449 | MATLAB | 1,143 | 35 | function [Final_img, m_Weight] = MIRO_Aggregation(similar_blocks, Wiener_weights, blk_positions, m_final_img, m_weight_img, Count, Kaiser, D, beta)%#codegen
shape = size(similar_blocks)-1;
Wiener_weights = (Wiener_weights).^(beta);
block_weight = Wiener_weights.*Kaiser;
pad = [8,8];
blocks = zeros(shape(2)+2*pad(1)+... |
8cc243651d64afe9f79bdfe99c2cd30b259727bf4beb551078ad46726207a471 | MATLAB | 1,143 | 41 | function d = pdist1(arr)
% PDIST1 calculates distances passed between every two consecutive time points in the given vector.
% Input:
% arr - array of [n x 2] points.
%
% Output:
% d - array of length as input 'arr', dimension as input. First value is 0.
%
% Usage:
% >> d = pdist1([x y])
% ==========... |
cf33d753a631921cbb945b12fcc151355b974249367b440e5d55084e2578493c | MATLAB | 1,149 | 39 | function complete = makeGapThresholdExp(gapDurations, delays, trialFac, ...
shamTrialFac)
%MAKEGAPTHRESHOLDEXP creates an experiment with gap stimuli.
% Arguments (defaults in square brackets):
% gapDurations - an array of the set of gap durations
% delays - an array of the set of start delays [1.25:5.25]
% ... |
91acdd2b84d9b915438fc3f07eb96e6ab89d4c9c3d0d1f0f17229ab7d5911f82 | MATLAB | 1,150 | 29 | function [minerrtype, minerr] = classify_type(X,centroids)
% INPUT:
% X(Nsegm,Nfeat) contains calculcated and preprocessed features for N segm of data
% centroids(Ntype,Nfeat) contains centroids from clustering features from some sample of data
if size(X,2)~=size(centroids,2)
error('different amount of feat... |
eedc53eb0de28c809ba48f91d99475eeaf4d37864361733e80232fa0cfa4fd04 | MATLAB | 1,154 | 41 | function [T, paramF] = createPureToneLine(Told, paramFold, att, freq, nstims, speaker)
type = cell(nstims, 1);
type(:) = {'freq'};
type = categorical(type);
% speaker = ones(nstims,1)*3;
speaker = speaker';
samp_rate = ones(nstims,1)*192000;
trial_dur = ones(nstims,1)*500;
stime = ones(nstims,1)*200;
etime = ones(nsti... |
01102c577ac3a88b922c84649bf86c34df2576d035622c3d45bc2930215ff070 | MATLAB | 1,155 | 26 | function generatePanels_FigS4(FigS4)
%% Constants
p10Maps(1,:)=FigS4.constants.colormap(3,:);
p10Maps(2,:)=FigS4.constants.colormap(2,:);
p10Maps(3,:)=FigS4.constants.colormap(1,:);
p10_ArousalStates=fieldnames(FigS4.P10.Histograms);
p15_ArousalStates=fieldnames(FigS4.P15.Histograms);
%% P10 Log-EMG Power in s... |
36f25cc7082be36e681516d628c417bb001e306a8ecd835e2afa00fbd6adbd09 | MATLAB | 1,165 | 43 | %PINK Black-pink-white colormap
%
% Examples:
% map = pink
% map = pink(len)
% B = pink(A)
% B = pink(A, lims)
%
% Similar to MATLAB's pink colormap, but the function can additionally be
% used to convert a real-valued array into a truecolor array using the
% colormap.
%
% IN:
% len - Scalar len... |
544990ecf1ea94344d8e0b1a408b2c2f39e3c00c527b9ebb5e9c50b0a3e8c8ba | MATLAB | 1,165 | 94 |
figure();
colores = {'r','g','b'}
counter2 = 1;
clear HoldingV;
cf = [1 2 3]
for c = 1:3;
color = colores{c};
counter2 = 1;
HoldingV = [];
roi_ave = ROI_dat{cf(c)};
for trial = 1:size(roi_ave.raw_dat,2)
clear Y;
counter = 1;
for i = 1:size(roi_ave.interp_raw,1)
HoldingV{i,counter2... |
0bc1ace8601b120968696239eff98a51be96463cb0c9695a6b1307410bd4a4fe | MATLAB | 1,167 | 30 | %Author: Tatjana Schmitt, 2019-2022
function edges_turning_points_maps = edges_turning_points(BF, radial_vectors_mean_BF_smoothed, borders)
% creates images for edges and turning points with 1s as borders
edges_turning_points_maps = cell(1, size(borders.turning_points,2)+1);
for j = 1:size(edges_turning_points_ma... |
3f2f1873aa3f3ea2452c25954ce523c3f8ee6f6e55c32eaafe47d063f51b956e | MATLAB | 1,168 | 33 | function write_trial_data(out,line_num,trial_num_in_line,trial_num)
fid=get(out,'Fid');
if fid==-1
return;
end
% meta=get(out,'Metablock');
meta=get(out,'StimList');
% line=get_line(meta,line_num);
% signals=get(line,'Chan_signals');
% total_trials=get(meta,'Num_of_trials');
total_trials = height(meta.T);
fprintf(... |
c21b02c785e99883f880a7453bf60d6643aa6744e3dce4d80e65323ad14e780b | MATLAB | 1,168 | 46 | classdef MemFunctor < handle
%MEMFUNCTOR saves arguments and results of function calls
% MemFunctor is a kind of decorator for a function. The constructor takes
% a function handle to a primary function. A call to func() replaces the
% primary function. Beyond providing the same functionality as the
% primary f... |
49ba0f2377f029647851352d7a50ceb0b3a58bbd18b1810a4385fd3a31710398 | MATLAB | 1,169 | 29 | function color_array = ColorRGB_ForPlot(color_indx)
% This is a small function which saves 6 different colour schemes used for
% the R2* paper (and other papers). The first three are for in silico data
% at variable g-ratio, while the next three are for ex vivo data at
% variable fibre dispersion. The last three ... |
d26c99c19867b1112664a8b8f1ff995069ccbcdb1cd73527684d7276f7d432b7 | MATLAB | 1,171 | 35 | function meta_info=get_meta_info(meta)
% GET_META_INFO returns information on the MetabBlock object.
% META_INFO=GET_META_INFO(META) returns information on the MetabBlock object.
% Each row represents a different line of the MetaBlock where each row hold the list of
% signals defined for that line in each of the fourt... |
4ddc18dd62adcabf52cce67f367af62b22aed09af1254297da0801652e5fca92 | MATLAB | 1,172 | 47 | %Corrected for lower weights between EI
function mat = create_matrix(E,I,EE,EI,IE,II,R,gamma)
tot = E+I;
EEmat = create_submatrix(E, E, tot, EE, R, gamma, 0);
EImat = create_submatrixEI(E, I, tot, EI, R, gamma, 1);
IEmat = create_submatrix(I, E, tot, IE, R, gamma, 1);
IImat = create_submat... |
77384ea94599e270a9d3fc67c745cbe8da1f1286cc0b08f96ca89a02d8db0f68 | MATLAB | 1,173 | 42 | function init_logfile(folder)
% JN 2019-03-06
%
% get the current git commit ID of the code
if isunix
[git_hash, has_uncommited] = get_riff_git_id();
[~, hostname] = system('hostname');
[~, username] = system('whoami');
else
git_hash = 'git_hash_not_available';
has_uncommited = 'git_commits_not_av... |
8199a5178d48009c8d0b7b0c8bd256b1cbd8c30648b1233a280c07ad3664e2a7 | MATLAB | 1,174 | 42 | function debud_tracker(frame, bg)
dI = frame - bg;
dI_thr = dI > 2^7;
track = regionprops(dI_thr, 'Centroid', 'Area','PixelIdxList');
[a, ind] = max([track.Area]);
center = track(ind).Centroid;
disp(['Max area: ' num2str(a)]);
[x,y] = ind2sub([960 1280], track(ind).PixelIdxList);
d... |
093c92db960472aef4e92860ae1b2c30ace64f0363e67a4d091218f36300e01a | MATLAB | 1,177 | 41 | % Create two files: xml table of all points and their coordinates for the
% given run; png figure of connections between the points
%
% Author: Dmitry Tebaykin
% Contact: dmitry.tebaykin@stanford.edu
function MibiDrawDirection(inputFileName)
%% read input xml
textXML = fileread(inputFileName);
paramNames= {'XAttrib', ... |
bbc699b5ae0cbfd4ea9c47f69c6deabe8883dd83bf9716ea10dbe062d06773b7 | MATLAB | 1,178 | 31 | % Checking Nyquist rule that the largest frequency that is part of
% the line is not above 45% of the sampling rate.
function check_result=check_nyquist_rule(line)
right_ear=get(line,'Right_ear');
left_ear=get(line,'Left_ear');
samp_rate=get(line,'Samp_rate');
signals=get(line,'Chan_signals');
max_found=0;%the maxim... |
9fdcda8d3a161c86d7980d094231291495da20eb5ef394db34dcc5ba6dd96a7a | MATLAB | 1,179 | 51 | function mAO_init_hardware
global mAO
% Init hardware connection
[u,s]=memory;
disp(u)
clear u s
disp('Starting SnR connection');
connect = AO_startConnection(mAO.DspMac,mAO.PcMac,-1);
[u,s]=memory;
disp(u)
clear u s
for j=1:100,
pause(1);
ret=AO_IsConnected;
if ret==1
disp('Successfuly connected to... |
4b39f6a4c4aad1afdc9172e2176506ff91e7b97afa8950b6bb8cd32aa5a742f8 | MATLAB | 1,185 | 30 | % Copyright (C) Alex A. Bhogal, 2021, University Medical Center Utrecht,
% a.bhogal@umcutrecht.nl
% <import_respfiles: imports GEN3 RespirAct data >
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software ... |
66b606e87213ee9fa0b0c2af981ab9d6b039bf2e08f33a7d790c6cc97fc55503 | MATLAB | 1,191 | 37 | function [ dmap ] = dataDensity( x, y, width, height, limits, fudge )
%DATADENSITY Get a data density image of data
% x, y - two vectors of equal length giving scatterplot x, y co-ords
% width, height - dimensions of the data density plot, in pixels
% limits - [xmin xmax ymin ymax] - defaults to data max/min... |
303a644fda07d3b8148b3f57ab5a66ea997cc1a1d0b6985ba38ac42405d413cb | MATLAB | 1,193 | 44 | function stimDir = createStimulusDir(handles) %sounds,
% stimdir : sound type (attention, reward, none) | area in which it's
% played | line in stimulus list
% area = (1:areaN)';
type = [];
area = [];
stimlistLine = [];
names = categorical({'att';'target';'reward';'negative';'warning';'safe';'punish';'silence'});
%... |
28dcf39542ade514cb03daf689b56be88f85e0c337bbdd4db42dc0d86e4f8fbc | MATLAB | 1,195 | 32 | function samp_points=synth(sig,samp_rate,trial_dur,varargin)
% SYNTH is lowpass synth function.
% SAMP_POINTS=SYNTH(SIG,SAMP_RATE,TRIAL_DUR,VARARGIN) Samples the signal
% according to the givan SAMP_RATE and TRIAL_DUR. Returns the sampled
% points.
switch nargin
case 4
params=varargin{:};
if ~(ise... |
73489d69f8c0e1ac30a8cb24254ed6ebe6f1bc8cfd45e259120e85fa91e732bc | MATLAB | 1,195 | 28 | function [] = MIBIloadAndDisplayBackgroundChannel(reuseFigure)
global pipeline_data;
point = pipeline_data.points.get('name', pipeline_data.background_point);
countsAllSFiltCRSum = point.counts;
labels = point.labels;
bgChannel = pipeline_data.bgChannel;
capBgChannel = pipeline_data.capBgCh... |
1fed1f9c4f6a907a10714543973eb43cf994f9ad27664d3c23fc0445f922d20b | MATLAB | 1,198 | 23 | function genSubjSpaceVTK (in_prop_surf_byu,in_xfm,in_disp_inout,out_subj_surf,out_subj_surf_vtk,out_subj_surf_inout_vtk)
%read in warped template
%in_prop_surf_byu='~/graham/scratch/test_surfmorph/surfmorph_dev/work/iter1/sub-CT01/propSurface_seed_nii.byu';
%in_xfm='~/graham/scratch/test_surfmorph/surfmorph_dev/work/s... |
8788e8cc152ace106240c8104cc2986d6e9455f85ceaad11beb66eb6969cd320 | MATLAB | 1,198 | 48 | %generate_Figure3A
clear
% Parameters
drift_rate = [.3 .1];
drift_rate_var = 1;
bound = 100;
% Initialize trial-specific variables
time = 1;
continue_accumulating = 1;
for i=1:2
for j=1:2
process{i,j} = 0;
end
end
% Accumulate evidence until one of the accumulators reaches the bound
while process{1,... |
a44601069fa6945bc2da660fb88a9c17507b3b2dbfb907c700891e71baa93fb5 | MATLAB | 1,199 | 34 | function mAO=AO_manager(handles)
global LFPSampRate;
mAO.num_elec=handles.num_elec;
mAO.LFPChannels=handles.LFPChannels;
mAO.LFPSampRate=handles.LFPSampRate;
mAO.SEGChannels=handles.SEGChannels;
mAO.SEGSampRate=handles.SEGSampRate;
mAO.TRIGChannels=handles.TRIGChannels;
mAO.TRIGSampRate=handles.TRIGSampRate;
mAO.LFPdat... |
bbd5176c9280adc3f9792740e6285e9159149a1a497d62c04e51a3314f319667 | MATLAB | 1,199 | 33 | function figure_size = getnicedialoglocation(figure_size, figure_units)
% adjust the specified figure position to fig nicely over GCBF
% or into the upper 3rd of the screen
% Copyright 1999-2010 The MathWorks, Inc.
parentHandle = gcbf;
convertData.destinationUnits = figure_units;
if ~isempty(parentHandle)
% If t... |
cbed07b7fa3667d56727063cdea1e10c643ffe9eed6acda06b0b5be617a6fed0 | MATLAB | 1,200 | 38 | function s_coord = Sig_coordinator(varargin)
% SIG_COORDINATOR class constructor.
% S_COORD = SIG_COORDINATOR(MAIN_SIGNAL) constructs a Signal Coordinator
% for the given Main_signal.
switch nargin
case 0
s_coord.m_sig=Main_signal;
coord=Coordinator(s_coord.m_sig);
s_coord=class(s_coord,'Sig_coordinator',coo... |
d5b353b1b5726ff0a5631d6750e221bbd606125de835f598a4dd643aa27e3b9b | MATLAB | 1,203 | 77 | function ROI=fb_roi_detrend(ROI,varargin)
%
%
%
%
%
%
% parameter collection
nparams=length(varargin);
dff=1;
fs=22;
win=.4;
per=8;
medfilt_size=.4;
method='prctile'; % 'prctile','medianfilt','mean','fft','highpass'
if mod(nparams,2)>0
error('Parameters must be specified as parameter/value pairs');
end
for i=1:2:... |
7cbae868d82784928284cf4ab2315161b6d4acf40ea6c24054e269f024240c22 | MATLAB | 1,204 | 30 | %% Demo for the CocoApi (see CocoApi.m)
%% initialize COCO api (please specify dataType/annType below)
annTypes = { 'instances', 'captions', 'person_keypoints' };
dataType='val2014'; annType=annTypes{1}; % specify dataType/annType
annFile=sprintf('../annotations/%s_%s.json',annType,dataType);
coco=CocoApi(annFile);
%... |
61680cdbbcc6932ea41f320cf3b6bd104454d0074c55160b7e9de69d0831d0b8 | MATLAB | 1,210 | 42 | function result_table = find_onset_shift_strig(ts1, ts2, use_window)
% JN 2019-07-01
% simple function that uses the 'diff of diff' statistic to find the best
% onset shift of two time series
% script assumes that ts1 and ts2 are in seconds
% use_window is the time to be used at the beginning of the session, in
% se... |
c7a33b3468aba6f697711aceb396f1b7f5c6fb66da7ff97650ca21191271893d | MATLAB | 1,215 | 41 | function paddedArray = SLpadArray( array,newSize)
%SLPADMATRIX Summary of this function goes here
% Detailed explanation goes here
padSizes = zeros(1,length(newSize));
S.type = '()';
S.subs = cell(1,length(newSize));
for k = 1:length(newSize)
currSize = size(array,k);
sizeDiff = newS... |
bdc90a406398ec5d7dc48a9fa7f427e6a46c6ae560a489f8c8bcd23ebe6efd2d | MATLAB | 1,216 | 46 | function [snr_times, to_add_all] = AO_monotonize_timestamps(snr_times)
% JN 2020-05-08 (75 years Victory in Europe)
% make sure file is sorted by file number already
if ismember('DatedFromFileNo', snr_times.Properties.VariableNames)
sort_column = snr_times.DatedFromFileNo;
else
sort_column = snr_times.FromFile... |
fda49053a29153b6205cb83d3449c872fa184049c42d06cc8412a898cc2fecd8 | MATLAB | 1,218 | 45 | function [Z_MIP, phi_MIP, Zs, phis] = MIP_Exhaustive( probs, options)
%-----------------------------------------------------------------------
% FUNCTION: MIP_Exhaustive.m
% PURPOSE: Find the Minimum Informamtion Partition by the exhaustive search
% from probability distirubtions
%
% INPUTS:
% see MIP_search_probs
%... |
4fba240c6a82070e9ca6f5b21ac8878f94fb671fd538cbf320fc611817d2f8cc | MATLAB | 1,219 | 51 |
function prep_for_fig06BCDEF(e2e,e2o,o2o,o2e,N)
color = lines(7);
hold on
plotCI(e2e,color(1,:),2);
plotCI(o2o,color(5,:),2);
plotCI(o2e,color(3,:),2);
plotCI(e2o,color(7,:),2);
plot([0 25],[100/3 100/3],'k-')
events = {'BPR','LED','RLS','TCH','HLD','REW','WDR'};
set(gca,'xtick',(1:4:25)-.5,'xticklab... |
6ea8ce84dd643b53ee69975e7511cde65dced08c9e68456f716e8c801a131954 | MATLAB | 1,221 | 25 | function [out] = extractAdjMat(dataTable,measure,patientRows)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
if contains(measure,'wPLI_dbt_spectrum')
extractData = @(r) cellfun(@(s) s.wPLI_spectrum,r,'UniformOutput',false);
metadata{iPatient}.wPLI_freqs = dataTa... |
6091133936b26f98b5f94d95d02ec2e46038faa2fe3941ff6df767eb66e86bf8 | MATLAB | 1,222 | 41 | function complete = makeToneThresholdExp(frequency, duration, levels, ...
delays, trialFac, shamTrialFac)
%MAKETONETHRESHOLDEXP creates an experiment with tone stimuli.
% Arguments (defaults in square brackets):
% frequency - the frequency of the tones
% duration - tone duration
% levels - an array of tone ... |
8077fcc25823baac97322aae00e7b14e2b642f90cdafffb9a29b7663963ba863 | MATLAB | 1,224 | 43 | function mdp_table = process_mdp_table(mdp_table, rat_states, experiment)
% JN 2019-07-04
mdp_table.Properties.VariableNames{'area'} = 's_area';
rat_states.loc_x = rat_states.loc(:, 1);
rat_states.loc_y = rat_states.loc(:, 2);
rat_states = removevars(rat_states, {'loc'});
switch experiment
case 'Ana'
ra... |
895e5ee3495406b46a17cc92673c5d43fb730a70c029f5fdb152668eda0e0499 | MATLAB | 1,224 | 51 | function [nR_S1 nR_S2] = trials2counts(stimID,response,rating,nRatings,cellpad)
nR_S1 = [];
nR_S2 = [];
% S1 responses
for r = nRatings : -1 : 1
nR_S1(end+1) = sum(stimID==0 & response==0 & rating==r);
nR_S2(end+1) = sum(stimID==1 & response==0 & rating==r);
end
% S2 responses
for r = 1 : nRating... |
ca8475ee0022cec773058bc21888e6495782c15478ed45235c2e62e255165135 | MATLAB | 1,224 | 30 | function in1Process = SS_PointProcess1(inNSamp, dbFreq, chType)
%Synopsis:
% IN1PROCESS = SS_PointProcess1(INNSAMP, DBFREQ, CHTYPE)
%Generates a time series having INNSAMP samples representing a point
%process having a mean frequency of DBFREQ and whos properties are set by
%the string CHTYPE. The latter can be set t... |
1217b1cfe6ec10dad35ee15609c29815f809b5524e62caa37fad3bae33dbbbff | MATLAB | 1,225 | 34 | % Copyright (C) Alex A. Bhogal, 2021, University Medical Center Utrecht,
% a.bhogal@umcutrecht.nl
% <view_ts: a function to view timeseries data >
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Fo... |
312eace3eb4289a4952fb0f9f6812ed984167854db15ab18b171fbf30d5226ec | MATLAB | 1,233 | 45 | function [coef_ort,lowUN_lowTA] = tdrVectorOrthogonalize(coef_fix,ortpars)
% tdrVectorOrthogonalize orthogonalize regression vectors
%
% Inputs:
% coef_fix: regression vectors
% .name: vector names {nvc 1}
% .response: vector coefficients [ndm 1 nvc]
% .dimension: dimension labels {ndm 1}
% ortpars.name: ... |
6512d0f1ef05843228d09973f5bf3c472d392bebd4a53133599a145b743e644e | MATLAB | 1,236 | 72 |
function Tif_Parse(DIR,varargin)
% Tif_Parse
% Parse Data from Tif stacks into MATLAB
% Created: 2016/02/12
% By: WALIII
% Updated: 2016/02/15
% By: WALIII
% Tif_parse will do several things:
%
% 1. Put Tif files into .mat files, such that theey will work with the FreedomScope
% pi... |
25e2dcdafe5573daf4861c1e19723fc2b9e65c923c4184987538b3359c1302d9 | MATLAB | 1,240 | 56 | function area = getFuncArea(x,y, areaTable, centData)
x0 = centData(1);
y0 = centData(2);
R = centData(3);
%find distance from center:
r = sqrt((x-x0)^2+(y0-y)^2);
%if outside the circle
if r > R
area.num = -1;
area.type = categorical({'-1'});
return;
%if inside inner circle
elseif r <= areaTable.r1(1)
... |
190a8689be723874f8841068f346ea21cc63461486af06c63e4cd4153bdf6092 | MATLAB | 1,241 | 50 | % This script performs the primary analysis in Nair et al., 2020 and
% reproduces Fig 3 E,F & Fig S2
% This makes use of the parallel computing toolbox in matlab, please change
% the parfor loop to a for loop if this toolbox is unavailable:
CC_All_parfor = zeros(36,36)
CS_All_parfor = zeros(36,36)
%% Lo... |
48321c7e3776b2d3ebb42d9136a5eeb3a3e7f2e223ac1c10325307852ad8c84c | MATLAB | 1,241 | 49 | function ChangeElastixParameterFileEntry(filename,oldTextLine,newTextLine, newfilename )
% Define file path and text to search for
%filename = % Replace with your actual file name
%oldTextLine = % The text you want to replace
%ewTextLine = ' % The text you want to replace it with
%newfilename = new name for mod... |
5fc59e1ae65e3f72dea266cea67e0fd9e6cf4aea8d9c15df44aa337a75916fac | MATLAB | 1,241 | 29 | % Copyright (C) Alex A. Bhogal, 2021, University Medical Center Utrecht,
% a.bhogal@umcutrecht.nl
% <resampletoTR: resamples breathing data to TR >
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundat... |
415534bd2301674a3f90a3d602d7228a1da709391bc938f2f67caa15ff1a0c2d | MATLAB | 1,245 | 39 | function [congruentTrls, incongruentTrls]...
= findTrialsForCoherence(STIM,PS)
% Pull trials from STIM for use in mscohere or wcoherence
trls = I &...
SORTED.tilts(:,1) == conditionarray(cond,2) & ...
STIM.tiltmatch == conditionarray(cond,3) & ...
STIM.adapter == condi... |
60ffe1a30df3b3943b5f5226edb7c85cb4d2102d2373ae3bedd3a130037493b4 | MATLAB | 1,245 | 34 | % Copyright (C) Alex A. Bhogal, 2021, University Medical Center Utrecht,
% a.bhogal@umcutrecht.nl
% <ROImean: calculates the mean value in a region of interest >
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the F... |
9119efdd40b082013ac068e4625b0dcd98238277572c2ff65515e37c4d6703a0 | MATLAB | 1,246 | 50 | % This script performs the primary analysis in Nair et al., 2020 and
% reproduces Fig 3 E,F & Fig S2
% This makes use of the parallel computing toolbox in matlab, please change
% the parfor loop to a for loop if this toolbox is unavailable:
CC_All_parfor = zeros(36,36)
CS_All_parfor = zeros(36,36)
%% Lo... |
86f90138a984732302b0c1767e06775f73617f8a05f19aa8df7cdbeac12d395a | MATLAB | 1,248 | 50 | % This script performs the primary analysis in Nair et al., 2020 and
% reproduces Fig 3 E,F & Fig S2
% This makes use of the parallel computing toolbox in matlab, please change
% the parfor loop to a for loop if this toolbox is unavailable:
CC_All_parfor = zeros(36,36)
CS_All_parfor = zeros(36,36)
%% Lo... |
b35ed3c1254fd4c7f35e98957190e92c4f7efd5dacf6f38cf2693f14bc382910 | MATLAB | 1,248 | 36 | function append_results_folder(pipeline_data)
point_names = pipeline_data.points.getNames();
% create point folders for composite tifs
for index=1:numel(point_names)
[~, point_folder] = fileparts(point_names{index});
new_folder = [pipeline_data.run_path, filesep, 'composites', file... |
c883c00170d8c010669ff3f8b512643cb94593f28e4256c039b7c62788d9495c | MATLAB | 1,250 | 34 | % Copyright (C) Alex A. Bhogal, 2021, University Medical Center Utrecht,
% a.bhogal@umcutrecht.nl
% <ROIstd: calculates the standard deviation in a region of interest >
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
... |
c2cc1b4d1556fbcdef6381fb674da562d14bfb09470c352d65a663729709e22e | MATLAB | 1,252 | 38 | function ramp= Ramp_comp(varargin)
% Ramp_comp class constructor.
% c=Ramp_comp(STATIC_VALUE) creates a Ramp_comp object which is a
% Signal component representing it's Ramp.
global RAMP_COMP_DEFAULT;
RAMP_COMP_DEFAULT=10;
if nargin==0
ramp.name='Ramp_comp';
s_comp=Sig_comp(RAMP_COMP_DEFAULT);
s_co... |
d7c6955ef28b4fc65fc57ba44754a3da4cf2e929784d9df9b60a706152e035d3 | MATLAB | 1,254 | 37 | function dXdt = evolDriveFiringAdap(t,X,p)
% System of 30 differential equations to integrate
% 10 types of neurons with drive equations (synaptic integration),
% firing rate equations and adaptation equations;
% interpolation of noise
D = X(1:10);
F = X(11:20);
H = X(21:30);
auxVec = [-F(5)-F(6),-F(5)-F(6),-F... |
6dceda5364a728c5bbc0ab0688cf8f028cc2cae100bf9db2d8eff16c2313d983 | MATLAB | 1,257 | 49 | %%
% Simulation results for the non-spatial one population model for networks
% with and without astrocyte ensheathment
%
% Creates S2 Fig
%%
% Load the data
load('./CompressedData/NonspatialOnePop/S2Fig_both_ex.mat')
load('./CompressedData/NonspatialOnePop/S2Fig_J_ex.mat')
load('./CompressedData/NonspatialOnePop/S2Fi... |
a46b0403a0e3ba5343f0fc7d27612f7678f67108e98b6aba7e28f3656895398d | MATLAB | 1,258 | 38 | function comp = Phase_comp(varargin)
% Phase_comp class constructor.
% c=Phase_comp(STATIC_VALUE) creates a Phase_comp object which is a
% Signal component representing it's Phase.
global PHASE_COMP_DEFAULT;
PHASE_COMP_DEFAULT=0;
if nargin==0
comp.name='Phase_comp';
s_comp=Sig_comp(PHASE_COMP_DEFAULT);... |
66fff9f39cb6d995544f3787aacf4d148a912739224df5198f23d0698f511926 | MATLAB | 1,260 | 28 | function frame = imRemoveSpots(frame)
h1 = figure;
h2 = imshow(frame, 'Border', 'tight');
set(h1, 'units','normalized','outerposition',[0.05 0.05 0.9 0.9]);
while true
h_temp = text(20, 20, 'Drag an elipse around the rat', 'FontSize', 20, 'FontWeight', 'bold', 'color', 'red');
area = imf... |
7e744219ad96878affa301e3700364be31aa41114e652dd1fc42698533d7d4c7 | MATLAB | 1,261 | 40 | function comp = Depth_comp(varargin)
% Depth_comp class constructor.
% c=Depth_comp(STATIC_VALUE) creates a Depth_comp object which is a
% Signal component representing it's Depth.
global DEPTH_COMP_DEFAULT;
DEPTH_COMP_DEFAULT=1;
if nargin==0
comp.name='Depth_comp';
s_comp=Sig_comp(DEPTH_COMP_DEFAULT);... |
c1fcf3a6730a7453c92a94211a8a0d469308a0c460edff9d18667881c4c4926d | MATLAB | 1,261 | 38 | %% Normalize SDF
% out --> z-score,
% inputs --> baseline population mean, baselin population stdev,
% SDF from binoc PS congruent simultaneous.
%get inputs
% Pull out baseline period
% nota bene -- Exclude basline of suppressor trials later!! - cannot
% do it on the squeeze li... |
61e35d92266c19d999bbfb38131c3e9e971a2fd7a63146a155f43a449cc9d0c8 | MATLAB | 1,262 | 38 | function trials = createToneStimuli(frequency, duration, levels, delays, repFactor)
%CREATETONESTIMULI creates an array of tone stimuli.
% All tone stimuli have the same frequency and duration. Tone levels and
% start delays vary by completely crossing these factors.
%
% Arguments:
% frequency - the frequency o... |
d9ed1aef67b2f743de36c0acd05004df2612005dcd53327528af2b080dd599df | MATLAB | 1,265 | 46 | function [MonocularEye2, MonocularEye3] = findMonocularTrials(STIM)
% Pull trials from STIM
% Exports logical vectors
%ipsi: eye = 2
MonocularEye2 = ~STIM.blank & ...
STIM.eye == 2 &...
STIM.adapter == 0 & ...
STIM.suppressor == 0 & ...
STIM.soa == 0 & ...
STIM.monocular == 1;
... |
db3b2e53ac5c785bb4ae90c5ad9fe1b6c7ede7d2ba6e76cf5e027e42a8208d63 | MATLAB | 1,265 | 30 | %% LaBGAS_3_spm_diagnose_firstlvl_models
%
% This script runs diagnosis on first level analysis generated by
% LaBGAS_2_spm_fit_firstlvl_models.m
%
% IT IS MADE TO BE CALLED FROM THE PREVIOUS SCRIPT RATHER THAN FOR
% STANDALONE USE
%__________________________________________________________________________
%
% authors... |
3411b9c0c67029a0192bb510f43c6cc4b059937abbfd9437631f203c1dcc6bfa | MATLAB | 1,267 | 40 | function check_metadata(expdata, metadata)
% JN 2019-07-09
% JN 2020-04-07
% JN 2020-04-30
title_str = sprintf('%s %04d-%02d-%02d %s', expdata.experimenter, ...
expdata.year, expdata.month, expdata.day, ...
expdata.folders.out_folder_session);
fig = figure('Position', [0 0 1400 1000], 'Visible', 'on');
annot... |
52e3be9c4179f773abe896eb59fd4cc70283b04e12d5c91ad69a3ec47b42af6e | MATLAB | 1,267 | 47 | function er=load_circuit(rx8)
Interface='GB';
actx_cntrl=get(rx8,'Controler');
dev_num=get(rx8,'Device_num');
% RP=actxcontrol('RPco.x',[5 5 26 26]);
if invoke(actx_cntrl,'ConnectRX8',Interface,dev_num); %connects RP2 through GIGABIT interface
% if RP.ConnectRX8('GB',1)
disp 'connected'
else
... |
f7c069003d9e4953a5d869ccc64c326dcb7dde4bf9d68d9f5ee30d1dcb1a3ed3 | MATLAB | 1,270 | 49 | function MI = MI_Gauss(Cov_X,Cov_XY,Cov_Y,Z)
%-----------------------------------------------------------------------
% FUNCTION: MI_Gauss.m
% PURPOSE: calculate Multi (Mutual) Information given covariance of data
%
% (Ay, 2001; Ay, 2015, Entropy; Barrett & Seth, 2011, PLoS Comp Biol)
%
% INPUTS:
% Cov... |
4390cba3111da1ecf1f943b625143dc7cf397b340d44b4a6a757331f632f4435 | MATLAB | 1,273 | 38 | function meta=MetaBlock(varargin)
% MetaBlock class constructor.
% meta=MetaBlock constructs a metablock object with default values
% meta=MetaBlock( run_mode)
% run_mode - the run mode of the metablock (PART_RND/SEQ)
% (PART_RND -the next is chosen randomly and the trials are running sequencialy;
% SEQ- lines+tria... |
a250cf4d6222d858317a94063060e98fbacc72026fc74039e2144fdb76cf8e00 | MATLAB | 1,274 | 38 | function arrayUpsampled = SLupsample(array, dims, nZeros)
%SLUPSAMPLE Summary of this function goes here
% Detailed explanation goes here
sz = size(array);
szUpsampled = sz;
szUpsampled(dims) = (szUpsampled(dims)-1).*(nZeros+1) + 1;
if isa(array,'gpuArray')
if verLessThan('distcomp','6.1')
... |
b2da31bb023d4442c7e46ddd8ba7f3d614e7619825667b53f70825bda7d0525f | MATLAB | 1,277 | 36 | function meta_info_list=get_shrinked_meta_info(meta)
% GET_SHRINKED_META_INFO returns abbreviated information on the MetaBlock.
% META_INFO_LIST=GET_SHRINKED_META_INFO(META) returns abbreviated
% information on the MetaBlock.
% Each row represents a different line of the MetaBlock where each row hold the list of
% sig... |
81c1172b5c4faf61641acac72e29c80e1af289eb3327087a3886af9614d629c6 | MATLAB | 1,279 | 81 | function fb_clickable_map(ROI,CA_DATA,varargin)
% make current image a clickable map to address calcium traces
%
%
%
%
%
nparams=length(varargin);
if mod(nparams,2)>0
error('Parameters must be specified as parameter/value pairs');
end
for i=1:2:nparams
switch lower(varargin{i})
end
end
if ~isfield(ROI.stats,... |
0fb730863d88125901b45f1d85e0f59e6226bdb131103d79898afd183129ee94 | MATLAB | 1,280 | 47 | function stat_data = cluster_stats(clustering_data, param)
% JN 2020-12-13, 2020-12-17
dset = clustering_data.dset;
irow = 1;
stat_data = zeros(length(param.rats) * length(param.days) * 2, 9);
for irat = 1:length(param.rats)
rat = param.rats(irat);
for iday = 1:length(param.days)
day = param.d... |
a25b6886f4126c152d809c373e4f2cc85b05d1005d45cc8f745c2b5a37f68c9a | MATLAB | 1,282 | 35 | function table_events = DT_eventlog_to_table(fname)
% JN 2018-12-17
% Reads the eventlog and saves it to a matlab table for later use
% this is faster than running 'read_mixed_csv' and the other previous
% scripts
% you can then do for example:
% idx_filestart = table_events.EventType == 'File started';
% if speed e... |
2253dd79aaa29c5ffdb00ad22d637c6a95b0f6f5ade097bf119c027306df5d87 | MATLAB | 1,286 | 58 |
%% calculate the mean angle of the right most cluster
cmap = parula(11+1);
cmap = cmap .* repmat([.9 .8 .9],size(cmap,1),1);
thresh = 10;
x = obs2obs(:);
y = exe2obs(:);
ind_min_rel = x>=thresh;
x = x(ind_min_rel);
y = y(ind_min_rel);
% convert to angle
angle = atand(y./x);
n = sum(~isnan(angle));
nbins = round... |
2ffde02ad7ca20939ca2651b64bd14999e49c34f3aaf5b03139285dc51882a35 | MATLAB | 1,288 | 40 | function A = HALS_spatial(Y, A, C, active_pixel, maxIter)
%% run HALS by fixating all spatial components
% input:
% Y: d*T, fluorescence data
% A: d*K, spatial components
% C: K*T, temporal components
% output:
% A: d*K, updated spatial components
% Author: Pengcheng Zhou, Carnegie Mellon University, ... |
fd0f3754f2ace17a9bb52b4dd21679751c19a9bfd195807ca85b32cab8f2583f | MATLAB | 1,288 | 34 | function samp_points=synth(sig,samp_rate,trial_dur,varargin)
% SYNTH is NEW_SIGNAL synth function.
% SAMP_POINTS=SYNTH(SIG,SAMP_RATE,TRIAL_DUR,VARARGIN) Samples the signal
% according to the givan SAMP_RATE and TRIAL_DUR. Returns the sampled
% points.
% varargin holds the requested Frequency value and the requested Ph... |
f9bbc286590d7e1058b8baef29519083fc504ff585eb206946edfcbd7a05d28f | MATLAB | 1,289 | 44 | function [T, paramFile,paramBBN,paramF,paramGap] = createTCPhaseRow(Told,paramFileold,paramBBN,paramF,paramGap,filename,trial_dur,location)
type = categorical({'file'});
speaker = 3;
samp_rate = 192000;
stime = 50;
etime = 150;
ramp = 10;
played = categorical({'no'},{'yes','no'});
att = 10;
paramsize = size(paramFile... |
d1e41ac2e108110fd2f79e85dbbb46d063e705bbef75a90b2e807a9a18c771bf | MATLAB | 1,290 | 44 | function [T, paramFile,paramBBN,paramF,paramGap] = insertFileRow(Told,paramFileold,paramBBN,paramF,paramGap,filename,trial_dur,location)
type = categorical({'file'});
speaker = 3;
samp_rate = 192000;
stime = 0;
etime = trial_dur;
ramp = 0;
played = categorical({'no'},{'yes','no'});
att = 40;
paramsize = size(paramFil... |
13a42cb3fcba2efb069c01394fff9fc99a9d0c20a48f99affc05881e730da74b | MATLAB | 1,295 | 54 | % This script performs the primary analysis in Nair et al., 2020 and
% reproduces Fig 3 E,F & Fig S2
% This makes use of the parallel computing toolbox in matlab, please change
% the parfor loop to a for loop if this toolbox is unavailable:
CC_All_parfor = zeros(36,36)
CS_All_parfor = zeros(36,36)
%% Lo... |
bcca06966630855f9101e604d83c000d07495472cefb8f60d9247085910c1587 | MATLAB | 1,295 | 23 | %-----------------------------------------------------------------------
% Job saved on 19-Feb-2020 14:49:07 by cfg_util (rev $Rev: 7345 $)
% spm SPM - SPM12 (7487)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
function matlabbatch=spm_func2anat_registrati... |
0d1604e85dbacd91aa0ad682d9c875789432d8159b438faf737eba13305fe12d | MATLAB | 1,297 | 74 |
function [T]= entropy_fuzzy_threshold(C)
%%%%Histogram probability computation
Image=round(C);
for i=1:size(Image,1)
for j=1:size(Image,2)
if Image(i,j)==0;
Image(i,j)=1;
end;
end;
end;
Ns=max(max(Image));
% Ns1=min(min(Image));
hist1=zeros(1,Ns);
for h=1:Ns
for i... |
322e8f738952098f74eb5363330406943b5a8af3a97a3ebacf3032f2e79448ef | MATLAB | 1,300 | 39 | function [Result] = AO_SendDout(DigtalChannelNumber,mask,value)
%% This function sends a Dout to a specific Port channel ID
%% DigtalChannelNumber is: the ID of the digital port
%% mask is an 8 bit hex number input as a string. This variable masks the value, any 1 bit number changes the corresponding bit to the numbe... |
9e3a15e7d7023103918b655d543c4f53535b603a2a3655d7d7fcc1c0a5a55ebb | MATLAB | 1,300 | 39 | % Copyright (C) Alex A. Bhogal, 2021, University Medical Center Utrecht,
% a.bhogal@umcutrecht.nl
% <grabTimeseres: extract voxel timeseries data and associated coordinates >
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as publishe... |
c27ac230953aa8f0ea7f68e3c49c9ceb7453a92db0ffc78c92a3e5c08d4c07e6 | MATLAB | 1,304 | 44 | function [out_mov, n] = FS_Format(in_mov,startT)
% Function used to eliminate redundancy in formats across data
% WAL3
% d07.08.2016
n = size(size(in_mov),2);
counter = 1;
switch n
case 2 % OLD FreedomScope format.
try
for ii = startT:size(in_mov,2)
out_mov(:,:,counter) = squeeze... |
8e8deb697624ebf1fb090f4d038b33991f60f9935d7e85f03da7dfdd1b65f6cc | MATLAB | 1,305 | 46 | function [T, paramFile,paramBBN,paramF,paramGap] = createBBNRow(Told,paramFile,paramBBNold,paramF,paramGap,trial_dur,location)
type = categorical({'BBN'});
speaker = 3;
samp_rate = 192000;
stime = 100;
etime = 300;
ramp = 10;
played = categorical({'no'},{'yes','no'});
att = 120;
paramsize = size(paramBBNold,1);
param... |
3380e806cf6d5ae2aa7812047c2712726b74935bb8f92e781ea4e186bcd14dc4 | MATLAB | 1,306 | 40 | function [tags] = getTagStruct(tiffObj)
tags = struct();
allTagNames = {'SubFileType',...
'ImageWidth',...
'ImageLength',...
'BitsPerSample',...
'Compression',...
'Photometric',...
'ImageDescription... |
8835220b40f1a7a113c7f57369435f07f9f442c7b22a4e6223e2c685ac9e6270 | MATLAB | 1,306 | 40 | function comp = Level_comp(varargin)
% Level_comp_comp class constructor.
% c= Level_comp_comp(STATIC_VALUE) creates a Level_comp object which is a
% Signal component representing it's level.
global LEVEL_COMP_DEFAULT;
global MAX_LEVEL;
LEVEL_COMP_DEFAULT=50;
MAX_LEVEL=120;
if nargin==0
comp.name='Level_... |
4d5e677c1221707cedba63607667d58b4303d0312d047ff028afbac9c4a9b38b | MATLAB | 1,309 | 44 | function [out_mov, n] = FS_Format(in_mov,startT)
% Function used to eliminate redundancy in formats across data
% WAL3
% d07.08.2016
n = size(size(in_mov),2);
counter = 1;
switch n
case 2 % OLD FreedomScope format.
try
for ii = startT:size(in_mov)
out_mov(:,:,counter) = rgb2gray(... |
4eb14a18245caa85143865f17c4f5f91e11237a52a74b0fc09d973eb7e8e599a | MATLAB | 1,312 | 38 | function etime = ETime_comp(varargin)
% ETime_comp_comp class constructor.
% c= ETime_comp_comp(STATIC_VALUE) creates a ETime_comp object which is a
% Signal component representing it's stimulation end time.
global ETIME_COMP_DEFAULT;
ETIME_COMP_DEFAULT=400;
if nargin==0
etime.name='ETime_comp';
s_co... |
50ab7fcb79d850210f36d69ea74c043f7e1887e4bdf583c19d670a529ff102dd | MATLAB | 1,312 | 36 | % Copyright (C) Alex A. Bhogal, 2021, University Medical Center Utrecht,
% a.bhogal@umcutrecht.nl
% <meanTimeseres: generates a mean timeseries from data based on input mask>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by... |
a7b8f641eceb112454f3a073c38ee6d6c5ce9654bf9b347645052406b542255e | MATLAB | 1,313 | 38 | function comp = Trial_dur_comp(varargin)
% Trial_dur_comp class constructor.
% c=Trial_dur_comp(STATIC_VALUE) creates a Trial_dur_comp object which is a
% Signal component representing it's Trial duration.
global TRIAL_DUR_COMP_DEFAULT;
TRIAL_DUR_COMP_DEFAULT=500;
if nargin==0
comp.name='Trial_dur_comp';
... |
eb85bc90814f4cec6dcdb74af85c5a537533dc2f0d2235c482aec5555d8d7f8f | MATLAB | 1,315 | 27 | function [noise_function] = NoiseAddition(model_at_t0,SNR)
%NOISEADDITION This is a small function which generates the background
%noise in the in silico data with a specific SNR at time = 0 ms.
% Detailed explanation goes here
% Input:
% model_at_t0 - double
% This variable is the value of the model/function a... |
1e67ac89540e69d6f5c2d6f9b5bd1fb828db02ef64000a20556267f8f7f9f8d3 | MATLAB | 1,316 | 38 | function stime = STime_comp(varargin)
% STime_comp_comp class constructor.
% c= STime_comp_comp(STATIC_VALUE) creates a STime_comp object which is a
% Signal component representing it's stimulation start time.
global STIME_COMP_DEFAULT;
STIME_COMP_DEFAULT=200;
if nargin==0
stime.name='STime_comp';
s_... |
6632ce5d57cb87163aeb26365d9743565687275f9ba4380019e4e7428b8b1df3 | MATLAB | 1,322 | 35 | % GET_FORMULA_VALUE returns the final value of the formula. This function replace each
% varaible in the formula with the corresponding numeric value, then it
% calculates the final numeric value of the formula.
% FINAL_VALUE=GET_FORMULA_VALUE(FORMULA,DEF_ARR,VAR_ARR)
% returns the final value of the givaen formula.
%... |
bd452eaab931257a8564f7396f7808a18cddda970d1aa7d30280b5e3cdfd6938 | MATLAB | 1,322 | 35 | %HICONTRAST Black-blue-red-magenta-green-cyan-yellow-white colormap
%
% Examples:
% map = hicontrast;
% map = hicontrast(len);
% B = hicontrast(A);
% B = hicontrast(A, lims);
%
% A colormap designed to maximize the range of colors used in order to
% improve contrast between intensity levels, while con... |
119dae8f8aa94bf4b010c76428d3b5376e14c686249698374ad3c1a26e778226 | MATLAB | 1,324 | 36 | function plot_3_bars(data_original, basic_weights, additional_weight, ylabel_string)
%Compute new means and SDs using the weights
for i=1:3
data(:,i) = (data_original(:,i+1) - data_original(:,1)) .* basic_weights(:,i) / ...
mean(basic_weights(:,i)) .* additional_weight / mean(additional_weight);
[t p(i... |
db44d830779cd3ceae8b73e5fbfb327a5f482a6c9f327dd00fce69dbc90a9db3 | MATLAB | 1,325 | 36 | %PINK2 Black-pink-white colormap
%
% Examples:
% map = pink2;
% map = pink2(len);
% B = pink2(A);
% B = pink2(A, lims);
%
% A black to white colormap with several distinct shades, most of which
% have a pink tint. This colormap converts linearly to grayscale when
% printed in black & white.
%
% The... |
d7d3b3df47fbe285859bb6202d24529da054b871d3fc38c58b3f156a05ca865b | MATLAB | 1,327 | 40 | function startup(varargin)
%STARTUP Initialize runtime environment.
%
% SYNOPSIS
%
% json.startup(optionName, optionValue, ...)
%
% The function internally adds dynamic java class path. This process clears
% any matlab internal states, such as global/persistent variables or mex
% functions. To avoid unexpected state ... |
8ed64ff68d3ab602b10a790a933c4ba81d79d3f4e3ac924ef929fef7b2351e16 | MATLAB | 1,329 | 42 | % Calculate the intersection of two frames: previous and current.
% Inputs:
% previous - overlap in the previous data
% current - overlap in the current frame
% Output:
% currentAdj - current frame, adjusted for the overlap
%
% Author: Dmitry Tebaykin
% Contact: dmitry.tebaykin@stanford.edu
function currentAdj = Mi... |
b4fcfafc428f6bb3e84cdbe26281f3d1eb959f7cc74fb80721db7f54f86db360 | MATLAB | 1,336 | 41 | load('AllFigureData.mat');
data=fig45;
nClusters = 5; % 9;
data.ROIs{strcmp(data.ROIs,'SFG')} = 'SFGpf';
ROIList = data.ROIs;
nROIs = length(ROIList);
early = zeros(nROIs,1);
late = zeros(nROIs,1);
alpha = zeros(nROIs,1);
for iROI = 1:nROIs
thisROI = ROIList{iROI};
early(iROI) = audResp.perc_hi... |
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