sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
edbad8b997150a2916e312e16327d41a356cf375629a1dd72779aa3e1da8393b | MATLAB | 380 | 10 | function plotfeatures(featurestable, pred1, pred2, response)
figure; hold on
tab = featurestable;
scatter(tab.(pred1)(tab.(response)==1), tab.(pred2)(tab.(response)==1))
scatter(tab.(pred1)(tab.(response)==0), tab.(pred2)(tab.(response)==0),'x')
legend({'Response=True','Response=False'})
xlabel(... |
1d8e5ada1109fd01c8ca05c140140955f79b4e08f28144d211560cf11f82c9c8 | MATLAB | 381 | 12 | function [timeScaleFactor] = ml_util_timeunit_to_ms_scalefactor( timeUnits )
switch timeUnits
case 'seconds'
timeScaleFactor = 10^3;
case 'milliseconds'
timeScaleFactor = 1;
case 'microseconds'
timeScaleFactor = 10^(-3);
otherwise
error... |
61602350dde4e16bc8ea124eb490988eeae6e82c5579c461f2667d9c7c1563f5 | MATLAB | 381 | 4 | function [sum_result, agg_restul] = zasoFarray(zaso, fct_sum, fct_agg)
% This may look stupid, but it is to reduce a very likely and hard to debug problem where one calls z1.fxsum(z2, fct) which is nonsensical. This function makes the interface more Python-like and requires only one reference to the object.
[sum_re... |
b5b59b8ff7a03c6af6b969079c22a70f65e7f8095cbf47758e399153e8009882 | MATLAB | 381 | 11 | setenv( 'FSLDIR', '/usr/local/fsl');
fsldir = getenv('FSLDIR');
fsldirmpath = sprintf('%s/etc/matlab',fsldir);
path(path, fsldirmpath);
clear fsldir fsldirmpath;
% set FSL environment
setenv('FSLOUTPUTTYPE','NIFTI_GZ'); % this to tell what the output type would be
% That?s it and you can launch any FSL command as foll... |
1bf5f8fe355b9d586c9b0887cd179ab4f5a74b20e9105302d0de31607ea3a7b0 | MATLAB | 382 | 10 | function [similarity indSim] = SSSimColourTextureFlowSizeFillOrig(a, b, blobStruct)
% Colour + Texture + Flow + Size + Fill
indSim(:,1) = SSSimColour(a, b, blobStruct);
indSim(:,2) = SSSimTexture(a, b, blobStruct);
indSIm(:,3) = SSSimFlow(a, b, blobStruct);
indSim(:,4) = SSSimSize(a, b, blobStruct);
indSim(:,5) = SSSi... |
315ee51f03c4ac930f894486b8ad17bdb041d11f912a2e0dadc3db5033fbeb86 | MATLAB | 382 | 10 | function discritized_v = discretize_given_edges(v, edges)
%similar to the matlab discritize function in later versions
discritized_v = zeros(size(v));
discritized_v(v < edges(1)) = 1;
for edge_index = 1:numel(edges)-1
discritized_v(v >= edges(edge_index) & v < edges(edge_index+1)) = edge_index;
... |
b24aaefee73e9dcc7d8bc0f8658ba9121aede307707f4f44f50ba2a75643b8b7 | MATLAB | 382 | 11 |
function group_info=get_current_work_group_idx(work_info_batch)
group_idx=work_info_batch.ref.net_run_current_group_idx;
net_run_current_group_idx_linked=work_info_batch.ref.net_run_current_group_idx_linked;
if ~isempty(net_run_current_group_idx_linked)
group_idx=net_run_current_group_idx_linked;
end
group_info=w... |
fc9b82301c0f1e8b1a8fb4e49cccc8540ef31d22043d6375314406e80dd5d94d | MATLAB | 382 | 18 | function [ rmse ] = rmse( in, true, use_abs )
%RMSE Summary of this function goes here
% Detailed explanation goes here
% output percentage
% updated by X.L. 202003
if nargin < 3
use_abs = 0;
end
if (nargin == 3) && (use_abs == 1)
rmse = 100 * norm(abs(in(:)) - abs(true(:))) / norm(abs(true(:)));
else
... |
5135a150570b8767fec7200b133474d8da52979a59bd427ca1604f0eb42c0c88 | MATLAB | 383 | 17 | function [img] = readImg_APP(imAdjust, cam, frame, roi)
%% Load sample images
img = imread(fullfile(cd, ['img' num2str(cam), '.tiff']),'Index',frame);
% Upsample image for better detection of CR
img = imresize(img,2);
% Enhance contrast
if imAdjust
img = imadjust(img);
end
... |
6e9d0bfe69697edace1c953d0f8a985c95d0fbd57316ef1970097d100341bf28 | MATLAB | 383 | 9 | function min_displacement = min_circshifted_displacement(K, Old_K)
%finds the minimum circshifted displacement to look for flips in the
%centerline
displacements = zeros(1,size(K,1));
for shift = 1:size(K,1)
displacements(shift) = find_displacement_between_two_centerlines(K, circshift(Old_K,shif... |
c722d7dde05c8fa65ba0078ae2fa99f4dda8fb8608c1baf5bce5e85f27dbd0a0 | MATLAB | 383 | 17 | Adapts code from:
https://github.com/trendscenter/gift
function [SSE, R] = cluster_goodness(D, IDX)
% Get SSE and dispersion ratio
[nobs, k] = size(D);
Din = zeros(1, k);
Dout = zeros(1, k);
for ii = 1:k
Din(ii) = sum(D(IDX == ii,ii).^2); % dispersion in cluster
Dout(ii) = sum(D(IDX ~= ii,ii).^2); % sum of ... |
424a7e234ee9e05da1ac7ddb0da8f091465ca8755ef0803c37e074d38fe91659 | MATLAB | 384 | 14 | function [D,entropies] = findKLDivergences(data)
%finds the KL-divergences (D) and entropies between all rows in 'data'
N = length(data(:,1));
logData = log(data);
logData(isinf(logData) | isnan(logData)) = 0;
entropies = -sum(data.*logData,2);
D = - data * logData';
D = bsxfun(@minus... |
b3f386391162bf069c64f8959591b0717ff6166752050b415c74021013ecbb90 | MATLAB | 384 | 15 | function fix_ActionCancelled( hObject, handles, panel_to_deselect )
% cancel a fix-action and return GUI to neutral state
% JAB 6/23/12
for fly = handles.selected,
if fly > 0,
fix_SetFlySelected(handles,fly,false);
end
end
handles.nselect = 0;
handles.selected = [];
set(panel_to_deselect,'visible','off');
fix_... |
feafa53c7ae8ce2f3690ba1ea553698abc41f7d9817eb2eec994bff01008d6cf | MATLAB | 384 | 16 | function activateCEDS64
% This script actiates the CEDS64 library aka Spike2 MATLAB SON Interface
%
% see http://ced.co.uk/upgrades/spike2matson for more information
% Each computer MUST install this!
%
% Maxwell Gagnon
if isempty(getenv('CEDS64ML'))
setenv('CEDS64ML', 'C:\CEDMATLAB\CEDS64ML');
end
cedpath = ge... |
10923a7396b8941ba5d686e73f3fec10a2e33af0f90ebfca737843b9bd6d3ebf | MATLAB | 386 | 9 | function [spikeCountMap] = ml_placefield_spikecountmap(sxi, syi, nbinsx, nbinsy)
% Perform the counts by hand because I don't trust MATLAB
numSpikes = length(sxi);
spikeCountMap = zeros(nbinsy, nbinsx);
for iSpike = 1:numSpikes
prevCount = spikeCountMap( syi(iSpike), sxi(iSpike) );
spike... |
1d6f4f585f9976486aedb22d39067dd5abd262076b309b4b7de6ac383bf0f548 | MATLAB | 386 | 12 | function no_weight_tuples = get_behavior_tuples(number_of_behaviors, degree)
%this generates all possible transition tuples
iteration = 1;
no_weight_tuples = 1:number_of_behaviors;
while iteration < degree
no_weight_tuples = combvec(no_weight_tuples, 1:number_of_behaviors);
iteration = iter... |
ea9fe98396683d3bebcebc788c9daba5ae6a843f1d249545967df1859446b808 | MATLAB | 386 | 14 | num_meta_tr = 10;
value_list = [.25 .5 .75 1 1.25 1.5];
ff_values = zeros(length(value_list),num_meta_tr);
for valuei = 1:length(value_list)
value = value_list(valuei);
for tempi = 1:num_meta_tr
run('Main_vectorized_simple_dopa.m')
ff_values(valuei,tempi) = ff_vect(num_trials);
end
... |
bb980c0c62d23085fbd678646664bfd7c89248fcfd616f37aa9e5b1b2bbed8cf | MATLAB | 387 | 18 | function rootPath = simseqRootPath()
%
% Return the path to root simSeq project folder
%
% This function must reside in the directory base of this code repository.
% It is used to determine the location of various subdirectories
%
% Example:
% fullfile(simseqRootPath, 'stimulus')
%
% By Eline Kupers 2020
rootPath =... |
0a20043799ea0bab22810690abb0f5d677b75cb1a96268e36d3882c2780478d4 | MATLAB | 388 | 22 | function [x,y] = pairwise_cleanup(X,Y)
% This function receives two column vectors and removes the missing values
% pairwise
%
% M C Valdes Hernandez <mvhernan@staffmail.ed.ac.uk>
% 29.10.2013
LX = length(X);
LY = length(Y);
if ~isequal(LX,LY)
errdlg('Both vectors need to have the same length');
exit;
end
p... |
56e5a72716591145427254b17f6ad1a4d5b2c0eb73488a113907b7901a7c113f | MATLAB | 388 | 19 | function lab= convertLab(lab,nlab)
lab=char(lab)
for i=1:nlab
ilab=lab(i,:);
ilab(ilab=='_')=[];
ind= strfind(ilab,'_1');
ilab(ind:ind+1)=[];
ind= strfind(ilab,'2');
ilab(ind)=[];
ind= strfind(ilab,'1');
ilab(ind)=[];
ind= strfind(ilab,'0');
ilab(ind)=[];
ind= strfind(ila... |
c13d208371b82035896db5e5536990402ab397d207acdc2a63bf5823664a43aa | MATLAB | 389 | 17 | function [ret]=SONCanWrite(fh)
% SONCANWRITE test whether a file can be written to
% BOOLEAN=SONCANWRITE(FH)
% FH SON32.DLL file handle
% Returns 0 if FALSE, 1 if TRUE
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
if nargin ~= 1
ret=-10... |
4a2020a51a09384a4170ece60ff99f76c9dd98c9bf23713a33706c382533dfaa | MATLAB | 390 | 18 | function Q = qNormalize( Q1 )
% qNormalize: quaternion normalization, i.e. ||Q||=1
% Q = qNormalize( Q1 )
% IN:
% Q1 - input quaternion
%
% OUT:
% Q - normalized (unity) quaternion, i.e. Q1 = Q / ||Q||
%
% VERSION: 03.03.2012
Q1 = reshape( Q1, 4, 1 );
if( Q1 ~= 0 )
Q = Q1 ./ qLength( Q1... |
6b600ebc818084167cb0607d7f2f3b438e03fe540d35803fdd560695fd39ba30 | MATLAB | 390 | 9 | function mlgp_plot_bfo_90_sessions(obj)
mlgp_plot_bfo_general_sessions(obj, 90, 'same');
mlgp_plot_bfo_general_sessions(obj, 90, 'different');
mlgp_plot_bfo_general_sessions(obj, 90, 'all');
numContexts = obj.Experiment.getNumContexts();
for iContext = 1:numContexts
mlgp_plot_bfo_general_ses... |
8d7ccc037beda100eac2701467cccb4202e361fff2149130d525b8fe9d8f57ed | MATLAB | 390 | 9 | function mltp_plot_bfo_90_sessions(obj)
mltp_plot_bfo_general_sessions(obj, 90, 'same');
mltp_plot_bfo_general_sessions(obj, 90, 'different');
mltp_plot_bfo_general_sessions(obj, 90, 'all');
numContexts = obj.Experiment.getNumContexts();
for iContext = 1:numContexts
mltp_plot_bfo_general_ses... |
a99b52ad0a2f3f9b8116323a8359e97d7f07d6ac6a300c1fc6b58222e399c622 | MATLAB | 390 | 19 | function blocks=SONDelBlocks(fh, chan)
% SONDELBLOCKS returns the number of deleted blocks in file FH on channel CHAN
%
% BLOCKS=SONDELBLOCKS(FH, CHAN)
%
%
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
if nargin<2
blocks=-1000;
retur... |
c6516efe3a7d6d9c6eff43dc75730adbc8c358d70a29d2f251f1ff300da10f74 | MATLAB | 390 | 16 | % This script does pcode conversion.
% Copyright SNM 2017-2019
clear all; %#ok<CLALL>
FileName = uigetfile('*.m','Select the tissue mesh file to open', 'MultiSelect', 'on');
if iscell(FileName)
for m = 1:length(FileName)
display(FileName{m});
pcode(FileName{m});
end
e... |
003bf279835cb7dd177bb10dac8c831f65aaf880f6d93b479ec044911aab3b9a | MATLAB | 391 | 15 | function gdir = dirgen(ndir)
filePath = matlab.desktop.editor.getActiveFilename;
root = fileparts(filePath);
system(sprintf('dirgen %u %s -cartesian -force',...
ndir,...
fullfile(root,'dirgen_temp.txt') ));
fid = fopen(fullfile(root,'dirgen_temp.txt'),'r');
fgetl(fid);
gdir = zeros(ndir,3);
for i = 1:ndir
t... |
fb3744abd03e900588fa92ab0f30032fcb86928bfccf769e5983fa85c75e2bcd | MATLAB | 391 | 13 | function overlay_heatmap_gradcam(image, heatmap, base_axis, alpha)
set(base_axis, 'color', 'none', 'visible', 'off')
img = axes;
imagesc(squeeze(image));
colormap(img, 'gray');
set(img, 'color', 'none', 'visible', 'off')
hm = axes;
imagesc(heatmap, 'AlphaData', alpha);
colormap(hm, 'jet');
%colorbar
set(hm, 'color', ... |
71c4279eb79d45fa09796d439a17128dfc889fba8b78c2877757fd283c56da76 | MATLAB | 392 | 12 | function dframe = extractForeground(frame,arenaModel,Thresh)
gFrame = im2gray(frame);
dframe = imabsdiff(arenaModel,gFrame);
dframe(dframe>Thresh) = 255;
dframe(dframe<Thresh) = 0;
dframe = imerode(dframe,strel('rectangle',[2 2]));
%dframe = imdilate(dframe,strel('rectangle',[4 4]));
%dframe = imdilate(dframe,strel('d... |
b8b4861b991f5e93c2d0269fc7292fe55558d986b73d14e9096c1d9e679ac72a | MATLAB | 392 | 15 | function check_failed(text)
FILE = fopen(sprintf('dat/check_error.%s', getenv('network')), 'w');
if FILE < 0, error('fopen'); end
fprintf(FILE, '%s\n', text);
if fclose(FILE) < 0, error('fclose'); end
data = 0;
OUT = fopen(sprintf('dat/check.%s', getenv('network')), 'w');
if OUT < 0, error('fopen'); end
fprin... |
6945d8517fe9004233525ea42dece8f7064b085f6250cbedb8d3c1477d41e62a | MATLAB | 394 | 16 | function[parameters]=fit_silhouettes(all_silhouettes)
% function to get parameters from distribution of silhoeuttes
% parameters is a [alpha beta negloglikelihood mean variance] vector
parameters=nan(4,1);
pd = fitdist(all_silhouettes,'Beta');
parameters(1)=pd.a;
parameters(2)=pd.b;
parameters(3)=negloglik(pd);
p... |
a75e0f618787073a4c588cb2e5e783b739186b2afa96065a60640f580bdb7e08 | MATLAB | 394 | 13 | function SONSetChanTitle(fh, chan, str)
% SONSETCHANTITLE sets the channel title
% FH = SON file handle
% CHAN = channel number (0 to Max-1)
% str = string with new title
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
global SON_TITLESZ;
str=str(1:min(SON_... |
c7800da847e4c2654cd9200efbcd093aff70c319a7fb81c271e2b227acbd1bfe | MATLAB | 394 | 13 | %% save
num_saves = length(save_params);
text = ['''' save_params{1} ''','];
for i = 1:num_saves-1
if(exist(save_params{i+1},'var'))
text = [text '''' save_params{i+1} ''','];
end
end
text = text(1:end-1);
save_time = datestr(datevec(now),'yyyy_mm_dd_HH_MM_SS');
save_command = ['save(''' save_folder '... |
2280a470a940ae2a55ff90553f23c6bffb70d6fc52adfa84bdd79b7d03e04126 | MATLAB | 395 | 17 | function [err]=SONCloseFile(fh)
% SONCLOSEFILE closes an opened SON file
% ERR=SONCLOSEFILE(FH) where FH is the SON32.DLL handle for the file
% Returns zero if all OK.
%
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
if nargin ~= 1
err=-1000... |
68b1bb1f7fdbcbacacad04c0c3c3e88a64513bf46ed3e6ca05ea34bff7c32d3f | MATLAB | 395 | 9 | function mltp_plot_bfo_180_sessions(obj)
mltp_plot_bfo_general_sessions(obj, 180, 'same');
mltp_plot_bfo_general_sessions(obj, 180, 'different');
mltp_plot_bfo_general_sessions(obj, 180, 'all');
numContexts = obj.Experiment.getNumContexts();
for iContext = 1:numContexts
mltp_plot_bfo_general... |
2bc80d2c828679a64626f568d73bd2bad8308b67ff785fb0a9d92e8ee9075000 | MATLAB | 396 | 13 |
function parentcluster = getActiveParentCluster(cluster, active, network)
%this gets the active parents of a cluster
parentcluster = [];
for i = 1:length(cluster)
%parentcluster = [parentcluster getActiveNeighbours(cluster(i), active, [network{cluster(i)}])'];
parentcluster = [parentcluste... |
8df5eb1bc71e6a71ef612ca66fb796ffa4c58bf47b90ef85998563807d9c0932 | MATLAB | 396 | 12 | function bytes=SONItemSize(fh, chan)
% SONITEMSIZE returns the size of a data item on the specified channel (bytes)
%
% BYTES=SONITEMSIZE(FH, CHAN)
% where FH is the SON file handle and CHAN is the channel number
% (0 - SONMaxChan()-1)
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King'... |
70ca9ad42a761ccfab017c70a7aed99b695641fec5b417065da56bd035a36791 | MATLAB | 397 | 23 | function [ax] = acorrFig(xcData,figopt)
% acorrFig.m 9/28/22
xc = xcData.xcn2;
be = xcData.be;
clr = 'k';
inputax = optCheck(figopt,'ax',[],[]);
tistr = optCheck(figopt,'tistr','ACF','');
if isempty(inputax)
plot(be,xc,'Color',clr)
else
plot(inputax,be,xc,'Color',clr)
end
ax = gca;
ax.TickDir = 'out'; ax.Box = 'o... |
b872dd554da8790ebbb94e9099f8851f6b31bd16fffe74ccb64472c616862591 | MATLAB | 397 | 18 | function [imageStack, n_images] = getImageStack(file)
info = imfinfo(file);
nImage = info(1).Height;
mImage = info(1).Width;
n_images = length(info);
imageStack = zeros(nImage,mImage,n_images,'uint8');
TifLink = Tiff(file, 'r');
for i=1:n_images
TifLink.setDirectory(i);
im... |
f045d24f29982d41e40d1e125f5cae5bf307a6101704b2f85df8f73bf6532d1a | MATLAB | 397 | 12 | function [abslocalskew] = abslocalskew(eeg, Fs)
%ABSLOCALSKEW Calculates the local skewness of every 15ms of signal, and
%returns the mean of these.
interval = round(15 * Fs * 0.001);
localskew = [];
for i=1:interval:length(eeg)/interval-interval
% skew in 15ms segment
localskew = [localskew, abs(skewness(eeg(... |
3b84d516cbd6bf1da8b5f0c92d8ab523a909ee69afebfaa4cecf7b9ebb3730ad | MATLAB | 399 | 15 | function dispsig(signalMatrix, range, titlestr);
%DISPSIG - deprecated!
%
% Please use icaplot instead.
%
% See also ICAPLOT
% @(#)$Id: dispsig.m 8776 2013-11-14 09:04:48Z roboos $
fprintf('\nNote: DISPSIG is now deprecated! Please use ICAPLOT.\n');
if nargin < 3, titlestr = ''; end
if nargin < 2, range = 1:size(s... |
3f468fc24aa472a766ae69259288598c354021609559c338c07b7ff7efe5505c | MATLAB | 399 | 11 | clear;
tPET = zeros(100,16,16,50000,5);
for i = 51:100
load_data = load(append("../../data/tPET_0.22_0.42_0.034_0.034_Iattn_0.02/",num2str(i),".mat"),"tPET");
tPET(i-50,:,:,:,:) = load_data.tPET;
clearvars load_data;
disp(append(num2str(i), " done"));
end
disp("Saving...")
save('..\..\data\tPET_0.22_0.4... |
545457a8d5f54fe38bd17e7a2dabcb130e4ab665de408303d264c01709f07e74 | MATLAB | 399 | 24 | function ynn_v = ValNLDNLS(Imat_v,dsr_init,nn_stat,nn_dyn,Xi,Ai,tv,no,nh)
X = tonndata(Imat_v,true,false);
yv = nn_dyn(X,Xi,Ai);
yn = zeros(nh,tv-1);
for i = 1:tv-1
yn(1:nh,i) = yv{i};
end
ynn_d = zeros(tv,nh);
ynn_d(1,1:nh) = 0;
for i = 1:nh
ynn_d(2:tv,i) = abs((yn(i,:))');
end
ynn_v(... |
6f845a74942caae6b7295d01f95dfee5499cef8c32e99eb729597d608ac16746 | MATLAB | 399 | 12 | function mltp_compute_bfo_90_average(obj)
mltp_compute_bfo_general_average(obj, 90, 'same');
mltp_compute_bfo_general_average(obj, 90, 'different');
mltp_compute_bfo_general_average(obj, 90, 'all');
numContexts = obj.Experiment.getNumContexts();
for iContext = 1:numContexts
mltp_compute_bfo_g... |
b72024c21f92114a2bcf7a0537fda30638e5421e48a8850fae84a9464e610017 | MATLAB | 399 | 16 | relevant_track_fields = {'Size','Frames'};
%select folders
folders = getfoldersGUI();
[allTracks, folder_indecies, track_indecies] = loadtracks(folders,relevant_track_fields );
worm_sizes = zeros(1,length(allTracks));
for track_index = 1:length(allTracks)
worm_sizes(track_index) = mean(allTracks(track_index).Siz... |
c4b32b017f56cbf314436ba229c06814a1cef3921b00bba1fae25f25c2ea222b | MATLAB | 399 | 11 | function clr;
% Clear workspace, close all windows, clears command window
%---------------------------------------------------------------|
% Sergei Koptenko, Medipattern Corp., Toronto |
% phone (416)744-0009 fax (416)744--6899 |
% skoptenko@medipattern.com |
%---------------Ma... |
e08f300ea61b9f514ccbeb4cc20798e3b2776dda0fbd50b0529bbb4fe906e709 | MATLAB | 399 | 12 | function mlgp_compute_bfo_90_average(obj)
mlgp_compute_bfo_general_average(obj, 90, 'same');
mlgp_compute_bfo_general_average(obj, 90, 'different');
mlgp_compute_bfo_general_average(obj, 90, 'all');
numContexts = obj.Experiment.getNumContexts();
for iContext = 1:numContexts
mlgp_compute_bfo_g... |
602ff64ad5f0e77f168b1de22f83a0e4d9bd0a25fcbd35d66de0454aabf747b6 | MATLAB | 400 | 8 | function alternative_path_variances=ask_for_alternative_path_variance(has_variance_flag)
alternative_path_variances=pwd;
if sum(has_variance_flag)<numel(has_variance_flag)
title='Some variance files might not exist in the derivatives folder. If existing, provide an alternative path to look for variance files';... |
edc3112a3d1f40f74f1d6ede1e24ce1b598b630943f529e260d46cb69c3e52c9 | MATLAB | 400 | 11 | <<<<<<< HEAD
function [FNMR] = computeFNMR_classic(gmsVector, REJngra, threshold)
FNMR = (length(find(sort(gmsVector) < threshold)) + REJngra) / (length(gmsVector) + REJngra);
=======
function [FNMR] = computeFNMR_classic(gmsVector, REJngra, threshold)
FNMR = (length(find(sort(gmsVector) < threshold)) + REJngra) / (... |
46651da4ea6f4d1aadd289fbd0d709196a7a1c6dd29178e13d76c9f3fe31d05e | MATLAB | 401 | 16 | function t = mystruct(obj)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: mystruct.m 8776 2013-11-14 09:04:48Z roboos $
if numel(obj)~=1,
error('Too many elements to convert');
end;
fn = fieldnames(obj);
for i=1:lengt... |
9665e054e2bd075a4173936e40b8194d756741feedf5fa839a555497659e5be9 | MATLAB | 401 | 12 | function mltp_compute_bfo_180_average(obj)
mltp_compute_bfo_general_average(obj, 180, 'same');
mltp_compute_bfo_general_average(obj, 180, 'different');
mltp_compute_bfo_general_average(obj, 180, 'all');
numContexts = obj.Experiment.getNumContexts();
for iContext = 1:numContexts
mltp_compute_bfo_... |
b5946d2ef3ccf36fb8dec9c1b9dcea49ec431bb3a718d987b448f104bbd8618a | MATLAB | 401 | 18 | function [avgpower] = alphaPower(eeg,Fs)
%ALPHAPOWER Calculates log band power in the alpha (8-13Hz) band of an
% EEG signal.
x = eeg;
N = length(x);
xdft = fft(x);
xdft = xdft(1:N/2+1);
psdx = (1/(Fs*N)) * abs(xdft).^2;
psdx(2:end-1) = 2*psdx(2:end-1);
freq = 0:Fs/length(x):Fs/2;
assert(length(psdx)==length(freq))
... |
eaa04d6dc4333c5c9c01c0165f2ce15fc41a50dd77d0d84115bbfdd852bd6566 | MATLAB | 401 | 14 | function [meanTracks] = getMean(sTracks,LookBack)
if length(sTracks)>5
for i = 1:length(sTracks)
TOI = sTracks(i).data;
Range = round(size(TOI,1)/2):size(TOI,1);
if length(Range)>LookBack
Range = Range(end-LookBack):Range(end);
end
meanData = mean(TOI(Range,:),1,'omit... |
0682a8d2f4d9e2a2f46beb04640b3e1e84ffd60fb6a4c7c2e0029a1606101709 | MATLAB | 404 | 16 | function spikeDensityFunction = calc_spikeDensityFunction(spikeTimes, kernel_sd, samplerate)
% Get Data
spikeTimes = round(spikeTimes * samplerate);
binned = zeros(spikeTimes(end),1);
for i = 1:length(spikeTimes)
binned(spikeTimes(i)) = 1;
end
% Kernel
edges = -5 * kernel_sd : 1/samplerate : 5 * kernel_sd;
kerne... |
2ad2ea5c46031670b9b6ed5399be75c249a60c6ec54501469a32d57e44729fb4 | MATLAB | 404 | 12 | function [visitedCountMap] = ml_placefield_visitedcountmap(xi, yi, nbinsx, nbinsy)
% Perform the counts by hand because I don't trust MATLAB
numSamples = length(xi);
visitedCountMap = zeros(nbinsy, nbinsx);
for iVisited = 1:numSamples
prevCount = visitedCountMap( yi(iVisited), xi(iVisited) );
... |
640eddf612828ad1808b7270ba0e85376d908e89c91a34c4d57574af52b3ac6c | MATLAB | 404 | 24 | function res = D(image)
%
% res = D(image)
%
% image = a 3D image
%
% This function computes the finite difference transform of the image
%
% Related functions:
% adjD , invD
%
%
[sx,sy,sz] = size(image);
Dx = image([2:end,end],:,:) - image;
Dy = image(:,[2:end,end],:) - image;
Dz = image(:,:,[2:end,end]) - i... |
87f22b742e230047d2217d443a7bf0bbb0cb2bc6810f17c1740f2c345cd318f7 | MATLAB | 404 | 21 |
function node_scores=my_softmax(node_scores)
if size(node_scores, 1)>1
node_scores=bsxfun(@minus, node_scores, max(node_scores, [], 2));
node_scores=exp(node_scores);
node_scores=bsxfun(@rdivide, node_scores,...
sum(node_scores, 2));
else
node_scores=node_scores-max(node_scores);
no... |
5d69af40a72b074d43dfc16ea4b349e7f72af76bbf617a0c387fb0946b11855a | MATLAB | 405 | 14 | function runsmoothing(root,width,DKIroot)
addpath(genpath(DKIroot));
nii = niftiread(fullfile(root,'CSFmask.nii')); csf = logical(nii);
info = niftiinfo(fullfile(root,'dwibc.nii'));
dwi = double(niftiread(info));
kernelsize = [5 5];
width = str2double(width);
dwism = smoothing(dwi,kernelsize,width,csf);
i... |
ac0fa22d4ff7664ce6727877d127737a58a9de76d84f22a58c3d2072674e72cc | MATLAB | 405 | 17 | function [ret]=SONCanWrite(fh)
% SONCANWRITE test whether a file can be written to
% BOOLEAN=SONCANWRITE(FH)
% FH SON32.DLL file handle
% Returns 0 if FALSE, 1 if TRUE
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
if nargin ~= 1
... |
b607362e5fdbb9bc769fefb969775950715b4bbbcf666835cacb459e6a628fd8 | MATLAB | 405 | 19 | %% compare the heritability between DBM and VBM
path = pwd;
roi_num = 48;
her_mask = logical(tril(ones(roi_num),-1));
dbm_her_file = 'heritability_matrix_p_DBM.mat';
vbm_her_file = 'heritability_matrix_p_VBM.mat';
load(dbm_her_file)
dbm_her = her(her_mask);
dbm_p = her_p(her_mask);
load(vbm_her_file)
vbm_her = her(... |
655f2393d08542a4170e4499e12a457d994dfb8503671ff1cac2d33aeb9d4479 | MATLAB | 406 | 21 | function ButttonDownFcn(~,~)
clc
global passdata;
switch(get(gcf,'SelectionType'))
case 'normal'
passdata.mouseSign = 0;
passdata.singalclick=1;
str = 'µ¥»ú×ó¼ü';
case 'alt'
str = 'µ¥»úÓÒ¼ü/ctrl+×ó';
case 'open'
passdata.doubleclick=1;
str = 'Ë«»÷ÈÎÒâ¼ü';
... |
81eef57d558c1dbd1d13ee40c687f8186fb8203c883cc36bbe185da14a41fd4b | MATLAB | 406 | 17 | function en = end(a,k,n)
% Overloaded end function for file_array objects.
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: end.m 8776 2013-11-14 09:04:48Z roboos $
dim = size(a);
if k>length(dim)
en = 1;
else
if n<l... |
93e6e91437b68fb08f8c7343481be91fb89afe81553ac7dd20e3cc8cdcb11ded | MATLAB | 406 | 13 | function SONSetChanTitle(fh, chan, str)
% SONSETCHANTITLE sets the channel title
% FH = SON file handle
% CHAN = channel number (0 to Max-1)
% str = string with new title
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
global SON_TITLESZ;
str=str... |
d2ecc2e74755dff3ba987dbb3744e688822d68914eccd97393488c965db25173 | MATLAB | 406 | 22 | %
% The exp-entropy, i.e. the entropy of a vector given by considering the
% exponential of its entries as probabilities. Used with eigenvalues in
% [671].
%
% RESULT
% entropy Entropy
%
% PARAMETERS
% values Vector of values
%
function entropy = exp_entropy(values)
values = values - max(values);
lnsum = log(s... |
0249ed40e996e5038d968b40b048cb40a22ee690290e4f9c2c8c2e100f5ba105 | MATLAB | 407 | 12 | function bytes=SONItemSize(fh, chan)
% SONITEMSIZE returns the size of a data item on the specified channel (bytes)
%
% BYTES=SONITEMSIZE(FH, CHAN)
% where FH is the SON file handle and CHAN is the channel number
% (0 - SONMaxChan()-1)
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Autho... |
7f199d52d7a281648d8c071354ccff526d646419a6c794f0483ed67c48934a89 | MATLAB | 408 | 18 | % testradiipupil
% Test pupil radius parameters for initial search
function [pupilStart] = testradiipupilmanual_APP(app, img)
% Camera 1
figure('units','normalized','outerposition',[0 0 1 1]); clf
imagesc(img); colormap(gray); axis image;box off
%% Get pupil center manually
disp('Click on pupil center')
[x, y] = ... |
877a70c315ce2cd6bbd57e2cf36c352cef283c7ac0553cdf13d0362964dff486 | MATLAB | 408 | 18 | function n=num_edges(A)
% NUM_EDGES The number of edges in a graph.
%
% n = num_edges(A) returns the number of edges in graph A.
%
% For symmetric/undirected graphs, the number of edges returned is twice
% the number of undirected edges.
%
% Example:
% load graphs/dfs_example.mat
% n = num_edges(A)
%
% See als... |
8c025189bfa3f24723d4bd386db538bef7a1059877c45d941b87e7345dadca7c | MATLAB | 408 | 17 | function g = fmri_doublegamma(t, d1, d2, c)
% Calculates the double-gamma HRF at point T using parameters D1, D2 and C
% defaults: D1 = 6 sec; D2 = 12 sec; C = 0.35.
%
% g = fmri_doublegamma(t, d1, d2, c);
%
% example:
% g = doublegamma(0:.125:25);
if nargin<4 c=.35; end
if nargin<3 d2=12; end
if nargin<2 d1=6; end
... |
a7f99f9add2a473fd3f4d88972704dfc76f4edff86abdecd7f9f89b93968508e | MATLAB | 408 | 20 | function [ff, row, col, lastRow] = getff(ff, uu, Nrows, Ncols)
%returns the row and col for multiple figures plots
%
uuRow = floor(uu/(Ncols+0.1))+1;
row = mod(uuRow,Nrows); if row==0, row=Nrows; end;
col = mod(uu,Ncols); if col==0, col=Ncols; end;
if mod(row,Nrows)==1 && col==1,
ff=ff+1;
% pause(0.2... |
5039eaf1a238db616d03f66c2cc6f585e1560881e59b31ddd733830307b094a0 | MATLAB | 409 | 13 | function SONSetChanComment(fh, chan, str)
% SONSETCHANCOMMENT sets the channel comment
% FH = SON file handle
% CHAN = channel number (0 to Max-1)
% str = string with new comment
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
global SON_CHANCOMSZ;
str=str(... |
afe8bc4f7e7973dc57c80103447c095d1a7e87f67947ac3e1231aae11527fd94 | MATLAB | 409 | 12 | %%%associate string with a number
function StrOut = create_string_from_num(vec_in,num_range,string_range)
% num_range = [ 1,2,3,4,5] ;
% string_range = {'AA','B','CCC','D','EEE'} ;
% vec_in = [3 6 4 6 3 1 9 9 0 4 4 1 3]; % note the 0!
% engine to convert ValuesIn to StrOut
StrOut = repmat({'Unknown'},size(... |
b4fe12b1e810e5757a244fb0162117c00fb3a2b87ad425ef60487ddec323bd1e | MATLAB | 410 | 10 | function [balancedAccuracy] = balacc(y,ypred)
%BALACC Summary of this function goes here
% Detailed explanation goes here
cm = confusionchart(y, ypred);
TP = cm.NormalizedValues(2,2); TN = cm.NormalizedValues(1,1);
FP = cm.NormalizedValues(1,2); FN = cm.NormalizedValues(2,1);
sensitivity = TP/(TP+FN... |
4b68fcd82d4f4a5544458f5642961536da28f432d9f0d3394c28f528cecc0450 | MATLAB | 412 | 9 | function edges = meshconnee(t)
% This function establishes all edges of a triangular mesh given its
% t-array. The result will be sorted.
%
% Copyright (C) 2004-2012 Per-Olof Persson. (See DISTMESH)
edges = [t(:,[1, 2]); t(:,[1, 3]); t(:,[2, 3])]; % All edges duplicated
edges ... |
4b16bed5093c9a8e941e777673afa8eacd77284c2906f4d2c4e3f21329027b88 | MATLAB | 413 | 18 | function test_results=display_significance_results(p_value)
%%%% displays the results of z-test
if isnan(p_value)
test_results='';
end
if p_value<0.05 && p_value>=0.01
test_results='*';
elseif p_value<0.01 && p_value>=0.001
test_results='**';
elseif p_value<0.001
... |
4e97b5c039a3b4bbeb097914c9fdd0c96d27d4214c9a78782b8880344b5b30f2 | MATLAB | 413 | 14 | function blobIm = Blob2Image(blob, im)
% function blobIm = Blob2Image(blob, im)
%
% converts a blob to an image which can be displayed.
% Crop region
blobIm = im(blob.rect(1):blob.rect(3), blob.rect(2):blob.rect(4),:);
% Multiply with mask
if isa(im, 'uint8')
blobIm = blobIm .* repmat(uint8(blob.mask),... |
9a98f1eac60c9b90d43c587e39c1e48e0e1b10ece1b4b85abf876871582aae75 | MATLAB | 413 | 17 | % Generate fake data using FA model
% Data dimensionality: 20
% Latent dimensionality: 5
params.L = randn(20, 5);
params.Ph = 0.1 * (1:20)';
params.mu = ones(20, 1);
X = simdata_fa(params, 100);
% Cross-validation
dim = crossvalidate_fa(X);
% Identify optimal latent dimensionality
istar = ([dim.sumLL] == max([dim.s... |
cc69ac5254a51ffb61e85955e4ecb4d6382e5448c85bc499dda801249516c1f1 | MATLAB | 413 | 16 | function spikeDensityFunction = calc_spikeDensityFunction_sawtooth(spikeTimes, kernel_sd, samplerate)
% Get Data
spikeTimes = round(spikeTimes * samplerate);
binned = zeros(spikeTimes(end),1);
for i = 1:length(spikeTimes)
binned(spikeTimes(i)) = 1;
end
% Kernel
edges = -5 * kernel_sd : 1/samplerate : 5 * kernel_... |
446dd0727cb32aec446de6bb3252b4fa880a7265b8638cf75af04897d41cbfa6 | MATLAB | 414 | 7 | function result = folder_names_matching_template(parent_folder_name, template)
% Return folder names matching the template within parent_folder_name
s_from_file_index = dir(fullfile(parent_folder_name, template)) ;
name_from_file_index = { s_from_file_index.name } ;
is_folder_from_file_index = [ s_fr... |
eccc9a6c77b886a49f0e360a3f8970919afb20a731441541459c331a42ca3d5d | MATLAB | 414 | 24 | function results = vl_test_plotbox(varargin)
% VL_TEST_PLOTBOX
vl_test_init ;
function test_basic(s)
figure(1) ; clf ;
vl_plotbox([-1 -1 1 1]') ;
xlim([-2 2]) ;
ylim([-2 2]) ;
close(1) ;
function test_multiple(s)
figure(1) ; clf ;
randn('state', 0) ;
vl_plotbox(randn(4,10)) ;
close(1) ;
function test_style(s)
figure... |
723caf847d2cde7169bf9844c2f6b516c3e0879feab9d1062d9c765f04857bd6 | MATLAB | 415 | 9 | function [indexesFold, allIndexes, indImagesTrain, indImagesTest, numImagesTrain, numImagesTest] = computeIndexesPersonFold(numImagesAll, labels, param)
indexesFold = personFold(numImagesAll, labels, param.kfold);
indImagesTrain = (indexesFold ~= 1); %1 or 2
indImagesTest = ~indImagesTrain;
allIndexes = 1 : numImagesA... |
99bbfcb9c242cb0db4731bdaf3f28d39410a768c6d62c4cabbf8fb91890a7876 | MATLAB | 415 | 20 | function plot_ephysFrCsOverview(recData, z, segment_ssfr)
figure('Position', [2 557 958 439])
FREphys = tight_subplot(2,1,[.05 .01],[.03 .03],[.01 .01]);
axes(FREphys(1));
plot(z.segTime_ssfr, segment_ssfr)
if ~isempty(recData(9).data)
vline(recData(9).data);
end
axes(FREphys(2));
plot(z.segTime_e, recData(10).d... |
c18fc6544d550fd70bf98999b6915959fdd48445bd00255002b17e2f7b47c0cd | MATLAB | 415 | 17 | function spikeTimes = ml_nlx_mclust_load_spikes_64bit(filename)
% Load t-files as 32 bits
fid = fopen(filename, 'rb','b');
if (fid == -1)
error('Could not open t-file %s.', filename);
end
ml_mclust_readheader(fid);
spikeTimes = fread(fid,inf,'uint64');
fclose(fid);... |
d025256a505377e26039ffe4290f27eab38d7ac85337895b70047478cd48140e | MATLAB | 415 | 19 | function [X] = ml_alg_possible_patterns(symbols, numDraws)
X = [];
for i = 1:numDraws
x = possible_patterns_helper(X, symbols);
X = x;
end
X = unique(X,'rows');
end % function
function [X] = possible_patterns_helper(T, symbols)
X = [];
for i = 1:length(symbols)
s = symb... |
d7a3099778083504d7a017286b2613ebab88216b80649b5df2633ad5aa181c23 | MATLAB | 415 | 13 | function ab = termcross(a,b)
%TERMCROSS Multiply dummy variables for two terms to get interaction
% Copyright 1993-2002 The MathWorks, Inc.
% $Revision: 8776 $ $Date: 2009/01/23 15:13:50 $
if (isempty(a)), ab = b; return, end
if (isempty(b)), ab = a; return, end
na = size(a,2);
nb = size(b,2);
acols = repmat((1... |
a95ceafd03cbd81c8d116c215a4014e1c94b9fac11c58ac016754b6183ecd089 | MATLAB | 416 | 10 | function [report_data] = report_w(report_data, state)
% Reporting function to record w for each iteration
%
% Copyright (C) 2004, 2005 DSS MATLAB package team (dss@cis.hut.fi).
% Distributed by Laboratory of Computer and Information Science,
% Helsinki University of Technology. http://www.cis.hut.fi/projects/dss/.
% $... |
dee72a3237dd5910b3b73e1a8128a5d6a92a8a9bdd09efc6efa43f61f4a28a53 | MATLAB | 416 | 12 | function p = ml_util_bivariatepdf(s1, s2, m1, m2, rho, xx1, xx2)
p = zeros(size(xx1));
for i = 1:size(xx1,1)
for j = 1:size(xx2,2)
x1 = xx1(i,j);
x2 = xx2(i,j);
z = (x1-m1).^2 ./ s1^2 - 2*rho*(x1-m1).*(x2-m2)./ (s1*s2) + (x2-m2).^2 ./s2^2;
n = 2*pi*s1*s2*s... |
03e1edeab3b54e87516ceedfeb8616518b4086c5c2bb15ebc95cce2e5284539c | MATLAB | 417 | 19 | function slmetric_pw_compile()
%SLMETRIC_PW_COMPILE Compiles the CPP mex files for slmetric_pw
%
% [ History ]
% - Created by Dahua Lin, on Aug 16, 2007
%
mdir = fileparts(mfilename('fullpath'));
if ~strcmp(pwd(), mdir)
cd(mdir);
end
disp('compile pwhamming_cimp.cpp');
mex -O pwhamming_cimp.cpp
... |
1884fa078d23330ee69141dd2721a7d9cca69d927b003013b21c7771bed46b4d | MATLAB | 417 | 12 | function [edgesX, edgesY] = ml_it_edges_xy_uniformly_spaced(x,y)
x = reshape(x, 1, numel(x));
y = reshape(y, 1, numel(y));
pearsonCorr = corrcoef(x', y');
pearsonCorr = pearsonCorr(1,2);
N = length(x);
nBinXY = round( 1 / sqrt(2) * (1 + sqrt(1 + (24*N/(1-pearsonCorr^2))))^(1/2) );
... |
259edb740377b9feb9da803dbcd014fee436fe7f46095b4b8f631464eb857a42 | MATLAB | 417 | 18 | function sdf = plotSpikeDensityfunction(spikeTimes, kernel_sd)%% Spike Density Function
%% Get Data
ephysSampleRate = 50000;
spikeTimes = round(spikeTimes * ephysSampleRate);
binned = zeros(spikeTimes(end),1);
for i = 1:length(spikeTimes)
binned(spikeTimes(i)) = 1;
end
%% Kernel
edges = -5 * kernel_sd : 1/ephys... |
2afa6600f7c7863c9725ce85fbffa47d52bdd9898bb991d0d311dde853e17371 | MATLAB | 417 | 14 | function [behavDataset ] = ml_cai_behav_h5_read(fn)
% Reads a 'behav.hdf5' file specified by the filename given in fn
behavDataset = ml_cai_core_h5_read_header( fn );
behavArrays = ml_cai_behav_h5_read_timeseries( fn );
arrayNames = fields(behavArrays);
numArrays = length(arrayNames);
for iF = 1:numArrays
arrayNa... |
d72ea91d8fed085997cd8af05a03da075e30d0e047bd0e945adb937f47deacd1 | MATLAB | 417 | 14 | function [scopeDataset ] = ml_cai_scope_h5_read(fn)
% Reads a 'scope.hdf5' file specified by the filename given in fn
scopeDataset = ml_cai_core_h5_read_header( fn );
scopeArrays = ml_cai_scope_h5_read_timeseries( fn );
arrayNames = fields(scopeArrays);
numArrays = length(arrayNames);
for iF = 1:numArrays
arrayNa... |
1db34a9491ee429850f9dc6894a834bdeb47801477d849eebcbb2d82ff133a5c | MATLAB | 418 | 12 | function [probe] = getTotalModuleCount(probe)
%GETTOTALMODULECOUNT Gets the total active modules in a probe
% Derives an integer value representing the total number of active
% modules in the particular probe.
activemoduleidx = probe.modules(:,4) == 1; % indeces of active modules
activemodules = probe.modules(act... |
dd6cfe17661ed24bbaff2e02ec242efcbf89ad7c7392821938d72ac7c982a298 | MATLAB | 418 | 11 | function [dwellTimeMap] = ml_placefield_dwelltimemap_v2(xi, yi, median_dt, nbinsx, nbinsy)
numSamples = length(xi);
% Perform the dwell time by hand because I don't trust MATLAB
dwellTimeMap = zeros(nbinsy, nbinsx);
for iVisited = 1:numSamples
prevCount = dwellTimeMap( yi(iVisited), xi(iVis... |
e96c8f63ca024db5d000c3724fb8d49fa3edce94e75ba42ffd15eba797fb1cd3 | MATLAB | 418 | 18 | function rootPath = stPRFsRootPath()
%
% Return the path to root VPNL/spatiotemporalPRFs project folder
%
% This function must reside in the directory base of this code repository.
% It is used to determine the location of various subdirectories
%
% Example:
% fullfile(stPRFsRootPath, 'functions')
%
% By Eline Kupers... |
53577c255d9b6038ec20eb499d1bac0ed5819aceff047aa51efbaa7b6bacd96f | MATLAB | 420 | 10 | function dspec = addCovariateBoxcar(dspec, covLabel, startLabel, endLabel, desc, varargin)
if nargin < 5; desc = covLabel; end
assert(ischar(desc), 'Description must be a string');
binfun = dspec.expt.binfun;
stimHandle = @(trial, nT) basisFactory.boxcarStim(binfun(trial.(startLabel)), binfun(trial.(endLabel)), binf... |
be2c42bdb9f692cfb62b90fb85b96964376d477e6d73dd5a5b7f8079e88736fa | MATLAB | 420 | 6 | function [climerICS] = ml_cai_climer_information_rate(bs, probXYS, smoothingKernelXY, trace_x_valid, trace_y_valid, trace_value_valid)
traceXY = ml_bs_accumulate_xy(bs, trace_x_valid, trace_y_valid, trace_value_valid);
traceXYS = imfilter(traceXY, smoothingKernelXY);
meanTraceS = nansum(probXYS .* traceXYS,... |
fd5f61f4580ae67f59ae52db8e33216180fd2424a7c1cf1d3584a534205e1c9f | MATLAB | 420 | 19 | function [nose, irmv] = useFrames(nose, condtxt);
globals;
irmv = find(~(eval(condtxt))); % find frames to remove
nose.t(irmv)=nan;
nose.x(irmv)=nan;
nose.y(irmv)=nan;
nose.o(irmv)=nan;
nose.v(irmv)=nan;
nose.s(irmv)=nan;
nose.a(irmv)=nan;
nose.do(irmv)=nan;
nose.do2(irmv)=nan;
nose.ddo2(irmv)=nan;
nose.o... |
1ab0c1fec2137e4558d2ddfb2406d24f2baa32057cd62e55c21740497b69b999 | MATLAB | 421 | 14 | function ordered_textons = select_diverse_textons(tsim, nt)
next_t = zeros(nt, 1);
vals = zeros(nt, 1);
indices = (1:size(tsim, 1));
for t = 1:nt
total_dsim = mean(tsim, 1);
[vals(t), index] = max(total_dsim);
next_t(t) = indices(index);
tsim = tsim([(1:index-1) (index+1:end)], [(1:index-1) (i... |
cac2111214d78f1f751bce63ce3ec1ec341e247167da774c5ca3a99179520c99 | MATLAB | 421 | 7 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [hFig] = plot_per_day_cell_averaged_rate_difference_matrix(DaysToSessions, RateMatrices, perCellNormalizationMethod)
T = compute_per_day_cell_averaged_rate_difference_matrix(DaysToSessions, RateMatrices, perCellNormaliz... |
ff05d2554a4666975cb68ca0078adceeca51f5154a71e38d53ac83b4cfa1046c | MATLAB | 421 | 12 | function UpdateInterpolateFly(handles)
% update a fly's position during interpolation
% splintered from fixerrorsgui 6/23/12 JAB
fly = handles.interpolatefly;
i = handles.trx(fly).off+(handles.interpolatefirstframe);
x = handles.trx(fly).x(i);
y = handles.trx(fly).y(i);
a = 2*handles.trx(fly).a(i);
b = 2*handles.trx(f... |
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