sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
adcaeb9b2712fcbe2ff2ee84a5964482069f9d472e48bd8d09ad543ee4e0eb53 | MATLAB | 466 | 17 | function results = vl_test_ikmeans(varargin)
% VL_TEST_IKMEANS
vl_test_init ;
function s = setup()
rand('state',0) ;
s.data = uint8(rand(2,1000) * 255) ;
function test_basic(s)
[centers, assign] = vl_ikmeans(s.data,100) ;
assign_ = vl_ikmeanspush(s.data, centers) ;
vl_assert_equal(assign,assign_) ;
function test_elk... |
3f1bd90bd59d6f4661c0ad18c2678550b25b5d17603b95124ebc443c448e8683 | MATLAB | 467 | 16 | function [c_pt] = getCPT(lag,spline_method,brkpt)
% ref for splines: https://github.com/MehradSm/Modified-Spline-Regression
nSeg = ceil(lag/brkpt);
c_pt_ctr = prctile([0:lag+1],([0:nSeg]./nSeg)*100);
switch spline_method
case 'modcard'
c_pt = c_pt_ctr;
case 'card'
c_pt = [c_pt_ctr(1)-range(c_... |
0a554eac845245690f7e136988df0d8b5a93adcccfc80e4eb8b3c233ca898662 | MATLAB | 468 | 25 | % mglWaitSecs.m
%
% $Id$
% usage: mglWaitSecs()
% by: justin gardner
% date: 09/22/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Wait for a certain time
% e.g.:
%mglWaitSecs(1);
%
function mglWaitSecs(waitTime,startTime)
% check arguments
if... |
291d6397831791fc6c44c037b343e447b284bfe1c8baa7540dfc596b5d559643 | MATLAB | 468 | 16 | function v = vl_matlabversion
% VL_MATLABVERSION Return MATLAB version as an integer
% V = VL_MATLABVERSION() returns MATLAB version encoded as an
% ingeger value. MATLAB version string has the format
%
% MAJOR.MINOR.SERVICEPACK
%
% The integer V has the value
%
% V = MAJOR * 10000 + MINOR * 100 + SERVIC... |
4479e97db2b7dd997f7604ce11c629d890578ed48346546aef16de7cd353f91a | MATLAB | 468 | 9 | function save_figures(fignum,folder,filename)
if ismac
saveas(fignum,['/Users/christianpotter/Dropbox/Dual Labeling Paper/V2/',folder,'/',filename],'pdf')
saveas(fignum,['/Users/christianpotter/Dropbox/Dual Labeling Paper/V2/',folder,'/',filename],'fig')
else
saveas(fignum,['C:\Users\Runyan1\Dropbox\Dual L... |
482148d0efdd64f281547ebddd65656b67cd3fc5f5e0431717e76ec3708ae99f | MATLAB | 468 | 17 | function normedResponse = normSum(response)
% Function to set sum of response to 1
%
% normedResponse = normSum(response). See also normMax.m
%
% INPUT:
% response : (vector or matrix) pRF time series (time points by pRFs)
%
% OUTPUT:
% normedResponse : (vector or matrix) normalized pRF time series (t... |
807b2b2343b989f4e31d5f0ebd15fdf73b9c8ec9bee09de5cd70d60d95de2308 | MATLAB | 468 | 22 | function [header] = ml_cai_core_h5_read_header( filename )
if ~isfile(filename)
error('The file (%s) does not exist.', filename);
end
s = h5info( filename );
% output
header = {};
% Get the attribute names in the root element
attribNames = {s.Attributes(:).Name};
numAttributes = length(attribNames);
% Read eac... |
8afdef1c813001cc72e40571d05a8b8bbb2a9762117a66417860913c195915c5 | MATLAB | 469 | 8 | function behavcam_referenceframe_create( obj, session, trial )
% Compute the background frame to present to the user and use for the
% tracker
[pRef] = ml_cai_behavcam_referenceframe_create( trial.getTrialDirectory(), trial.getAnalysisDirectory(), ...
'verbose', obj.isVerbose(), 'maxFramesToUse', ob... |
80453944beef4f5ef2488d1dfb710d1ec1b36ec4a56ed5cb4bea30ae0cee7479 | MATLAB | 470 | 17 | function [onsetTime] = showStimulus(texture, window, stimWidth, stimHeight, xCenter, yCenter)
global isTestMode
% Stimulus coordinates:
stimRect = [0, 0, stimWidth, stimHeight];
destRect = CenterRectOnPointd(stimRect, xCenter, yCenter);
% Draw the shape
Screen('DrawTexture', window, texture, [], destRect, 0);
% Draw ... |
fe1dcadc01ab2c74010b2f2e8581ec0c8a5fc0a784dc76b1847191ff9db4ad71 | MATLAB | 470 | 19 | function [Q, R] = mgson(X)
% Modified Gram-Schmidt orthonormalization (numerical stable version of Gram-Schmidt algorithm)
% which produces the same result as [Q,R]=qr(X,0)
% Written by Mo Chen (sth4nth@gmail.com).
[d,n] = size(X);
m = min(d,n);
R = zeros(m,n);
Q = zeros(d,m);
for i = 1:m
v = X(:,i);
for j = 1... |
20f5bc8d1ce6719d227752dcb61ab36c247f64b56699a0d161326e6922c988ec | MATLAB | 471 | 17 | function usPerTime=SONGetusPerTime(fh)
% SONGETUSPERTIME returns the tick interval in units of SONTimeBase()
% USPERTIME=SONGETUSPERTIME(FH)
% FH SON file handle
%
% See also SONGETTIMEPERADC, SONCHANDIVIDE
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & K... |
925e54daaa2210f4f160bfd9cde786d95407edb153dc57916a4f87cdb17fe646 | MATLAB | 471 | 17 | function sum_mid = sum_middle(I,num_pix,mask)
%returns the mean of the middle pixels of the image, multiplied by mask.
%assumes size(I,1)=size(I,2), and size(I,1) is odd.
if(~exist('num_pix','var'))
num_pix=1;
end
if(num_pix==-1)
sum_mid=max(I(:));
return;
end
N=size(I,1);
hn=N/2+0.5;
this_sum=I(hn-num_pix:... |
d067941027d23f1c7a8abaf7884447f8e4a60018f287b9f0321a461f823e74cc | MATLAB | 471 | 20 |
%
% Load strings from a file. The file should contain one string per
% line. The function returns a cell array of strings, where each
% string is the content of one line.
%
function [strings] = load_strings(filename)
FILE = fopen(filename);
if FILE < 0, error('fopen'); end;
strings = textscan(FILE, '%s');
% Re... |
0f5694045f133044113f0ec45f2eec903977526ec57470e930d888cb03c0683d | MATLAB | 472 | 16 | function handles = LoadImage(hObject, handles, imageData, imageLegend)
%% Author: Jiri van Bergen
% Affiliation: Radiology @ JHU - Kirby Center
% Contact via xuli@mri.jhu.edu
% updated 2019-06-20, X.L.
handles.CurrentImage = imageData;
guidata(hObject, handles);
% Updat... |
c46accea7aee4b8b682d62d8789379cff210299afcbb15d15d462e359400a005 | MATLAB | 472 | 11 | function kappa = cohensKappa(y, yhat)
C = confusionmat(y, yhat); % compute confusion matrix
n = sum(C(:)); % get total N
C = C./n; % Convert confusion matrix counts to proportion of n
r = sum(C,2); % row sum
s = sum(C); % column sum
expected = r*s; % expected proportion for random agree
po =... |
c7130b64ae95d47bc41f8d04e24952ffcb7ef1dc00134637c3c89bb9c93bb60e | MATLAB | 472 | 14 | function interleave=SONChanInterleave(fh, chan)
% SONCHANINTERLEAVE Returns the channel interleave factor for ADCMark channels
% in SON V6 or above
% INTERLEAVE=SONCHANINTERLEAVE(FH, CHAN)
% FH SON File Handle
% Chan Channel number
%
% Author:Malcolm Lidierth
% Ma... |
5ec3bcec65a92630f0912ff2e34fc8413a9bdf9d2d5fad3099b7170001a6e7b0 | MATLAB | 473 | 6 | function smoothingKernel = ml_util_compute_rect_kernel(smoothingKernelGaussianSize_cm, smoothingKernelGaussianSigma_cm, cm_per_bin)
[hsize, ~] = ml_util_compute_gaussian_size(smoothingKernelGaussianSize_cm, cm_per_bin);
smoothingKernel = fspecial('gaussian', hsize, smoothingKernelGaussianSigma_cm / cm_per_bin);... |
2ad8e03ef46804968cb7ae7798ae77379039d88de4c45bc9df3471ced021dcbf | MATLAB | 474 | 14 | function trigger_times = trigger_times_pretreatment(upindex,interval,trial_from,...
trial_number,h)
trigger_times = upindex*interval;
total_trial_number_in_file = length(trigger_times);
if trial_number > total_trial_number_in_file - trial_from + 1
trial_number = total_trial_number_in_file - trial_from + 1;
... |
2e9aa0bef5848ec2451fdc7a5a6e3af38d1c9fed842a89b577d0073f28e3369c | MATLAB | 475 | 9 | function scopecam_alignvideo( obj, session, trial )
pScopeAlign = ml_cai_scopecam_alignvideo( ...
trial.getTrialDirectory(), 'outputFolder', trial.getAnalysisDirectory(), ...
'spatialDownsampling', obj.Config.miniscope_camera.spatial_downsampling, ...
'isNonRigid', obj.Config.miniscope_camer... |
97466980b08dc750def6fb8c8439ac667988204069064b10e88c9f696b6eda99 | MATLAB | 475 | 16 | function SetFlyVisible(handles,fly,v)
% makes fly body visible or invisible
% splintered from fixerrorsgui 6/21/12 JAB
if isdummytrk(handles.trx(fly))
return;
end
set(handles.hellipse(fly),'visible',v);
set(handles.hcenter(fly),'visible',v);
set(handles.hleft(fly),'visible',v);
set(handles.hright(fly),'visible',v);... |
2c9869136da438d3d3b862acf47e29492ed6781526d02d77e78b6d72c929d287 | MATLAB | 476 | 10 | function depth = Volt2Depth(volt,linearmodel)
%VOLT2DEPTH [U[ZT©çÌd³f[^ð\¦³êÄ¢élÉÏ··éB
% d³Æ\¦ÌlÉÍë·ª¶ÝµA»Ìë·Íd³Ì嫳Éäá·éB±ÌÖ
% Å»Ìë·ðC³·éB
p1 = linearmodel.p1;
p2 = linearmodel.p2;
volt = (volt-2.5)*2;
depth = volt + p1*vol... |
50cb8e64e3debfcc62ea8cfc6b60babf74bea8a9975a088b5969454c1227a91c | MATLAB | 476 | 15 | function res_val = resultant_val( val )
%function res_val = resultant_val( val )
% This function calculates the resultant temporal values
% val should be N-by-3 or N-by-4. The first column is time and others are velocity or
% acceleration etc.
%
% Author: Wei Zhao, 01/20/2016
%%
if size(val,2) == 3
res_v... |
6d2d14c431c8fb1c52543243b42b952ea488d4b5355faa877d78025041cd053e | MATLAB | 476 | 15 | function myTicks(gca, A, vec, ilabels, fontsize)
% plot ticks and ticklabels on axis A ('X', 'Y')
% ilabels, indices if labels ([1:5:15])
% Detailed explanation goes here
if nargin<5, fontsize=8; end
set(gca,[A 'tick'],vec);
set(gca,[A 'ticklabels'],{});
iL = nor01(ilabels);
for ii=1:length(iL),
text(iL(ii... |
690a264abb4b92c9aff69047be412277abd7355415e28b7d7d196d66cad29812 | MATLAB | 477 | 20 | <<<<<<< HEAD
function msVector = rebuildMs(msN, msX)
msVector = [];
% trasformi i vettori di frequenza in un vettore lineare
for i = 1:length(msX)
for j = 1:msN(i)
msVector = [msVector msX(i)];
end
=======
function msVector = rebuildMs(msN, msX)
msVector = [];
% trasformi i vettori di frequenza in un ... |
b1e86f86b8d97cfa65f849bb4dc1565d65d1bd2c06f18924feab8bd24f60e0ab | MATLAB | 477 | 16 | function MaxTime=SONChanMaxTime(fh, chan)
% SONCHANMAXTIME returns the sample time for the last data item on a channel
%
% MAXTIME=SONCHANMAXTIME(FH, CHAN)
% where FH is the SON file handle
% CHAN the channel (0-SONMaxChannels()-1)
%
% MAXTIME is returned in clock ticks
%
%
% Author:Malcolm ... |
1c0b3b27d7c5c9e2251528039b2eb4b70e1fd1b12151654929f063e37cee78ae | MATLAB | 478 | 19 | function [err]=SONBookFileSpace(fh, lspace)
% SONBOOKFILESPACE Allocates disk space for a file
% ERR=SONBOOKFILESPACE(FH,LSPACE)
% FHH SON32.DLL file handle
% LSPACE space in bytes
% Returns 0 or a negative error code
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright ... |
8c60886355ebcfe1950d38f38d37c88bd45ff8875a9302db1d4b1f6087d2c6ba | MATLAB | 478 | 25 |
function file_names=get_sub_file_names(root_dir)
file_infos=dir(root_dir);
file_names=[];
file_dates=[];
for f_idx=1:length(file_infos)
one_f_info=file_infos(f_idx);
if ~one_f_info.isdir
file_name=one_f_info.name;
file_names=cat(1, file_names, {file_name});
file_dates=cat(1, file... |
a156602b90dd1ea0a2ed895b237027a267f36b674b33e7e99c029fe5c1e7f0ea | MATLAB | 478 | 20 | dirlist = dir('Z:\MATLAB\fieldtrip-20210328\template\layout\*');
addpath Z:\MATLAB\fieldtrip-20210328 %Windows
filename = {dirlist(strncmp('neuromag306',{dirlist.name},11)).name};
ft_defaults
for i=1:length(filename)
cfg = [];
cfg.layout = filename{i};
cfg.layout = 'vertical';
layout = ft_prepare_layout(cfg);
figur... |
ac4afc991d2f00fe15b7b06bdf5ae92c70b7c14f93e91620c579d64dfdeb54b1 | MATLAB | 478 | 18 | function handles = fix_FixBirthEvent(handles,fly)
% add or remove fly's birth event from suspicious sequences list, as appropriate
% splintered from fixerrorsgui 6/21/12 JAB
f = handles.trx(fly).firstframe;
if f == 1,
handles = fix_RemoveBirthEvent(handles,fly);
else
for i = 1:length(handles.seqs)
if ~strcmpi(... |
bc0584b3a59d2efed8f43a69b7a20d73858d9f952fe5b2e05b752195dbf5d0da | MATLAB | 478 | 15 | function make_file_censored_data(handles)
surv_file=[handles.env.path_group_list filesep handles.env.group handles.env.original_filename_ext];
ix=handles.mc.surv_ix;
n=sum(ix,1);
fileID = fopen(surv_file,'wt');
ix1=find(ix(:,1));
T=table(handles.participants.full_path(ix1,:));
writetable(T,surv_file,'WriteVariableNam... |
db74beb7deb4d7ae4f1f86032f7a176d64f313df95eb8b7302e6e4d2b7f09678 | MATLAB | 478 | 19 | function ticks=SONGetTimePerADC(fh)
% SONGETTIMEPERADC returns the number of clock ticks per ADC conversion
% TICKS=SONGETTIMEPERADC(FH)
% FH = file handle
% Returns the number of ticks (no error codes)
%
% See also SONGETUSPERTIME, SONCHANDIVIDE
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copy... |
dd21b9ed40a778396d28e8473d1f6b146e2a560385d736178dcc40ea7d3c8de6 | MATLAB | 478 | 14 | function Source = TR_RecordLoad(Experiment, IDs)
% In this version, TREX output x,y variables are stored in a single csv file
% under an individual plate folder
% or in a csv file containing many other outputs
% read these data as a table
% in RecordGUI user indicates a particular file. Load only that file
Record = ... |
ef2dd2c84c98b20cf82bc1a9e22a339656567a00f4d36b0787b3df2343987abc | MATLAB | 478 | 14 | % VL_VERSION Obtain VLFeat version information
% VL_VERSION() prints VLFeat version number. VL_VERSION('VERBOSE')
% prints additional information.
%
% STR = VL_VERSION(...) returns the ouptut in a string rather than
% printing it.
%
% See also: VL_HELP().
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Ful... |
30a0bd301698aad3d7b9256ea96644d5ab2fb04bd2bb2bc7e0c811f59697a2dd | MATLAB | 479 | 16 | function chantitle=SONGetChanTitle(fh, chan)
% SONGETCHANTITLE Returns the channel title
%
% TITLE=SONGETCHANTITLE(FH, CHAN)
%
% INPUTS FH is the file handle
% CHAN is the channel number (0 to SONMaxChans()-1
% OUTPUT the channel title as a string
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright ©... |
ef2ddda662f6d1579f8348a3794f48945ff06e96b0ef291427687b596621de8b | MATLAB | 479 | 23 | function[] =plot_lambda(Lambda,M)
figure(3)
colorAU= [0 0 1;
1 0 0;
1 0 1];
state={'SOM','PV','Mixed'};
hold on
for pid=1:Np
errorbar(1:M, mean(Lambda(:,:,pid,i),2),std(Lambda(:,:,pid,i),[],2)/sqrt(size(Lambda,2)),'-','color',colorAU(pid,:),'LineWidth',2)
end
legend({'SOM Events', 'PV Ev... |
5194a7cb342160fd31edd5e8c572a6859a33b853a9ab8c555f3badf25aa252af | MATLAB | 480 | 17 | function X = kargerfit(t,K,init)
karger = @(t,tex) 2./(t./tex).*(1-1./(t./tex).*(1-exp(-t./tex)));
options = fitoptions('Method','NonlinearLeastSquares',...
'Algorithm','Trust-Region',...
'Upper',[Inf Inf],'Lower',[0 0],'StartPoint',init);
ft = fittype(@(K0,tex,t) K0*karger(t,tex),...
'independent','t');
[... |
6794abdfe453f75710a9ed06d6c68ffd325ecf2c9c7a38eb3868faaf7c753631 | MATLAB | 480 | 24 | load('Activity_result.mat');
%select Ch
ch = 38
for i = 1:351
x_time(1,i) = -2 + (i-1)*(0.01);
end
%time-frequencygram
f1 = figure
contourf(x_time,[1:200],TFA_rawdata(ch).data(1:200,1:351),500,'linecolor','none');hold on;
caxis([0 4.5])
colormap(jet);
axis xy
set(gca,'yscale','log')
xlim([-0.... |
a9d1bfe3a2d20031c4a44630c89a0d6fd5467a1f2c76b2d03e2a3cd5fa7ddd50 | MATLAB | 480 | 14 | function trigger_times = trigger_times_pretreatment_multi(upindex,trial_from,interval,...
trial_number,h)
trigger_times = upindex*interval;
total_trial_number_in_file = length(trigger_times);
if trial_number > total_trial_number_in_file - trial_from + 1
trial_number = total_trial_number_in_file - trial_from +... |
ee3d3f11122f9fc70518c7b90b1a000311e2466fb65021d0e919b654a580a716 | MATLAB | 480 | 14 | % VL_SIMDCTRL Toggle VLFeat SIMD optimizations
% VL_SIMDCTRL() returns TRUE if VLFeat SIMD optimizations are enabled
% and FALSE otherwise.
%
% VL_SIMDCTRL(TRUE) enables VLFeat SIMD optimizations. VL_SIMDCTRL(FALSE)
% disables them.
%
% See also: VL_HELP().
% Copyright (C) 2007-12 Andrea Vedaldi and Brian F... |
1b39da99d1263df9ffb80925a21c091c8f8556a64e37ce20f22ce1612d5f3e7c | MATLAB | 481 | 16 | function H = vl_hat(om)
% VL_HAT Hat operator
% H = VL_HAT(OM) returns the skew symmetric matrix by taking the "hat"
% of the 3D vector OM.
%
% See also: VL_IHAT(), VL_HELP().
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is ma... |
5e19fe531a35df46d378c4135d9d9a2a6397f350e5a0fc706b7d263d20528e52 | MATLAB | 481 | 17 | function handles = fix_RemoveDeathEvent(handles,fly)
% removes a death event for a fly
% splintered from fixerrorsgui 6/21/12 JAB
for i = 1:length(handles.seqs)
if strcmpi(handles.seqs(i).type,'death'),
if fly ~= handles.seqs(i).flies,
continue;
end
if isempty(handles.doneseqs),
handles.dones... |
fdec3900dc1debf190d7a7faf4ae7880e83d22d5b8bfe60bf6923a30f1f9f3e7 | MATLAB | 481 | 17 | function color_new = changecolor(color_old)
if (color_old == [0 1 0 ])
color_new = [1 0 0];
elseif (color_old == [1 0 0])
color_new = [0 1 1];
elseif (color_old == [0 1 1])
color_new = [0.8 0.8 0.8];
elseif (color_old == [0.8 0.8 0.8])
color_new = [1 0 1];
elseif... |
2162265df60ba986e3d39ba243841f308de3b2fef6c9d948a06a30d2753b0030 | MATLAB | 482 | 16 | function y = vl_aibcutpush(map, x)
% VL_AIBCUTPUSH Quantize based on VL_AIB cut
% Y = VL_AIBCUTPUSH(MAP, X) maps the data X to elements of the AIB
% cut specified by MAP.
%
% The function is equivalent to Y = MAP(X).
%
% See also: VL_HELP(), VL_AIB().
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% ... |
396c6554d7855a4ecc98312d8e751c5fb00817601622845c3cd0b5f1eea853df | MATLAB | 482 | 17 | function [p_l, p_r] = perceptual_state(stimulus,sigma,bias)
% computes the perceptual evidence (here probability) for being in a LEFT or
% RIGHT state
resolution = 0:0.001:4;
measurement_sample = normrnd(stimulus+bias,sigma);
measurement_distribution = normpdf(resolution,measurement_sample,sigma);
%measurement_distri... |
8410946bd664f1be0c8399d9fe037034bdd98ae2473b51306cb8ee2b62016a5b | MATLAB | 482 | 17 | function[silhouettes]=get_silhouettes(alldistances,ident)
silhouettes=nan(size(alldistances,1),1);
for i= 1:size( alldistances,1) % get silhouette score
if ident(i)==1
silhouettes(i)=(alldistances(i,2)-alldistances(i,1))/max(alldistances(i... |
aa6a4885edf5a8fd3f387b2e2f852eb1f4ce4a111802c9538ae4155dcd7a286d | MATLAB | 482 | 26 | function e = ChangeEdges(e, a, b, c)
% This function replaces in the edge list 'e' the merged blobs a and b with
% their fusion 'c'.
for i = 1:size(e,1)
if (e(i,1) == a)
e(i,1) = e(i,2);
e(i,2) = c;
end
if (e(i,2) == a)
e(i,2) = c;
end
if (e(i,1) == b... |
0302dc3de9c5b704f58e586d56a845851dbe468f7814e219459a30ee2ffff355 | MATLAB | 483 | 22 | function output = convCut(stimulus, impulse, nTerms)
% Function to trim time series to initial length after convolution
%
% convCut(stimulus, impulse, nTerms)
%
% INPUTS
% stimulus : a stimulus time course
% impulse : an impulse response function
% nTerms : number of terms after cutting
%
% OUTPUT(S)
% ... |
2e4d84f17b77ba14269ffa8f823162677466fccf93f844f74c88b01a0a6e8fd3 | MATLAB | 483 | 19 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [randMaps, randIndices] = ml_util_shuffle_table_maps(maps)
% This will shuffle a table of maps with no repetitions.
numMaps = size(maps,1);
randIndices = randperm(numMaps);
randMaps = maps(randIndices);
... |
3dcc3841f324a70a574ae6dded41957ba32d8fdc78ab8d58f0abe9dcfe5381fa | MATLAB | 483 | 15 | function [cells] = findUniqueCells(sessionRatemap)
% just a helper function to tell me what cells are present in a given
% session. Ratemap structs at the moment only tell you how many cells are
% in a trial, but if a cell doesn't meet threshold for a given trial, it
% won't exist for that trial. Not fair to the cell t... |
a302ca36fc763c026664d0f4ad5d8cbf8729fa09b2c0d13b317c6d790a6d3e1a | MATLAB | 483 | 15 | function f = vl_ertr(f) ;
% VL_ERTR Transpose exremal regions frames
% F = VL_ERTR(F) transposes the frames F as returned by VL_MSER(). This
% conversion is required as the VL_MSER algorithm considers the column
% index I as the frist image index, while according standard image
% convention the first coordinate is... |
f1532c235ed2312f5b37876e8dda851fe6b9f2f41b00cb558ab9a88dd2186e2f | MATLAB | 483 | 11 | function [imagesCellTrain, filenameTrnPCA] = loadImagesTrainingColor(files, dirDB, allIndexes, indImagesTrain, numImagesTrain)
%init
vectorIndexTrain = allIndexes(indImagesTrain);
filenameTrnPCA = cell(length(vectorIndexTrain), 1);
imagesCellTrain = cell(numImagesTrain, 1);
for i = 1 : length(vectorIndexTrain)
fil... |
68150adca83aa24fd179f992ffa24cb1f0d734816dccdea4c1860afd7a2d2baa | MATLAB | 484 | 15 | function [output_matrix] = SpaceMapping(input_matrix, xx)
%SpaceMapping takes in a linspace xx and an arbitury input_matrix and looks
%up the indecies in xx closest to each element of the input_matrix to
%generate the output_matrix
%figure out the equation that maps xx
slope = (xx(end) - xx(1))/length(xx);
... |
bd627f1c999d0d1b8259091bd6b3467df6d1ec6ab458fbd863a9ad9d52f5b223 | MATLAB | 484 | 16 | function coord = readFilename(folder,pattern)
% read filename in folder and return coordinates of all dots
% Detailed explanation goes here
files = struct2cell(dir(folder))';
filenames = files(:,1);
col = count(pattern,'%f');
coord = zeros(length(filenames),col);
for i = 1:length(filenames)... |
63041befd0278640569898ec9e3cff1accaa37befe27c7d9500f337295b3d285 | MATLAB | 485 | 20 | function [bytes]=SONChanBytes(fh, chan)
% SONCHANBYTES returns the number of bytes written, or buffered, on the
% specified channel
% BYTES=SONCHANBYTES(FH, CHAN)
% FH SON file handle
% CHAN Channel number 0 to SONMAXCHANS-1
%
%
% Author:Malcolm Lidierth
% Matlab SON library:
%... |
0066778c38f29fba4cbac2ad53e5c8abb37e7c2053319e81f20bcdbf3103b63d | MATLAB | 486 | 17 | function [mode_model] = modeModelFcn(vid,numModFrames,maxTime)
%max time is in seconds (Nick)
tFrames = maxTime * vid.FrameRate;
frame_id = round(rand(1,30)*30);
frame_id = frame_id(frame_id>0);
im_rep = [];
for i = 1:length(frame_id)
% frame_id = round(rand(1,1)*vid.Duration);
get_im = rgb2gray(read(vid,frame_... |
ceb98e4ef206654bf1d5cc965f587cccd4c4dde7a835005caaa1284fabf9ed43 | MATLAB | 486 | 20 |
%# -*- texinfo -*-
%# @deftypefn {Function File} {} X = gamlike ([@var{A} @var{B}], @var{R})
%# Calculates the negative log-likelihood function for the Gamma
%# distribution over vector R, with the given parameters A and B.
%# @seealso{gampdf, gaminv, gamrnd, gamfit}
%# @end deftypefn
%# Written by Martijn van Ooster... |
a73cf98868427c30266d3b0c41069827d82b5f6bacb4a9851861fe363f96689b | MATLAB | 487 | 16 | function noise = noise_PSD(traces_input, pct)
% pct = 2/3;
traces_raw = traces_input - mean(traces_input,2);
T = size(traces_raw,2);
spectrum = fft(traces_raw,[],2);
spectrum(:,1) = 0;
% power = abs(traces_raw).^2;
PSD = abs(spectrum).^2/T;
% plot(sum(PSD,2)./sum(power,2));
above = ... |
1d5e0776363f0caf9a4b9a910f342220476bf5f5c061bd293e8c75b62d9da02f | MATLAB | 488 | 19 | function dps_seq = dpss(seq_length,time_halfbandwidth)
% DPSS approximate the discrete prolate spheroidal (DPSS), or Slepian sequences
% using a precomputed version on disk
persistent w
if isempty(w)
% load the precomputed tapers only once
load precompute_dpss
end
n = 1000;
s = 1:0.5:50;
% find the nearest matc... |
778945139fc0fec438f4696f08d0fb2d95ad7a5bbb7c5aa90accd83187fb3a6b | MATLAB | 488 | 34 | %
% Compute the steps
%
% PARAMETERS
% $network
%
% INPUT
% dat/info.$network
%
% OUTPUT
% dat/stepsi.$network
% The list of step values as text, with one number per line
%
count = 100;
network = getenv('network');
info = read_info(network);
stepsi_data = floor((1:count) * info.lines / count);
filename = s... |
d0ee3947a49496086c4606657cfee2d1b82d8cee2bbf755660d453223c353dde | MATLAB | 488 | 18 | function ml_util_json_save(data, jsonFilename)
% Save a struct as JSON-formatted text, and make it pretty
jsonTxt = jsonencode(data);
% Make it prettier
jsonTxt = strrep(jsonTxt, ',', sprintf(',\n'));
jsonTxt = strrep(jsonTxt, '[{', sprintf('[\n{\n'));
jsonTxt = strrep(jsonTxt, '}]', sprintf('\n}\n]'));
fid = fopen(... |
4ea38c4e695381a80ba5a67f170adcaf89c48b1b6c27af662798e9fe27ddb8cb | MATLAB | 489 | 23 | function disp(obj)
% Disp a NIFTI-1 object
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: disp.m 8776 2013-11-14 09:04:48Z roboos $
sz = size(obj);
fprintf('NIFTI object: ');
if length(sz)>4,
fprintf('%d-D\n',length(s... |
6cd678105415c6e7e9d7a3e99fee491b98c4384544116ac88bac61d64be75433 | MATLAB | 489 | 17 | function [] = bemf2_graphics_base(P, t, c)
% Surface plot
% Copyright SNM 2017-2020
p = patch('vertices', P, 'faces', t);
p.FaceColor = c.FaceColor;
p.EdgeColor = c.EdgeColor;
p.FaceAlpha = c.FaceAlpha;
daspect([1 1 1]);
xlabel('x, m'); ylabel('y, m'); zlabel('z, m');
NumberOfT... |
ef83c8e146699550dba8f29792acbdc5a4e4fbd2307d13eb3548bc55cadf16d9 | MATLAB | 489 | 24 |
function node_scores=my_logsoftmax(node_scores)
if size(node_scores, 1)>1
node_scores=bsxfun(@minus, node_scores, max(node_scores, [], 2));
tmp_node_scores=node_scores;
node_scores=exp(node_scores);
node_scores=bsxfun(@minus, tmp_node_scores,...
log(sum(node_scores, 2)));
else
node... |
2687f5966c26a3661865bc46a674697b1320ffdbc49b812631a672e534c43a8f | MATLAB | 490 | 18 | function [] = mglEyelinkClose()
% mglEyelinkClose - Closses a connection to an SR Resarch Eyelink eyetracker
%
% Usage: mglEyelinkClose()
% program: mglEyelinkClose.m
% by: eric dewitt
% date: 08/03/09
% copyright: (c) 2009,2009 Eric DeWitt, Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% ... |
d29dde64bc984f2e654e8fa94b446ce5a1e31e559104b04c2e8b82ada51306a5 | MATLAB | 491 | 15 | function CM = gradedColormap(StartingColor,EndingColor,CMHalfSize)
%
% CM = gradedColormap(StartingColor,EndingColor[,CMHalfSize])
%
% Copyright Maurizio Mattia - Mar. 14, 2021
%
if ~exist('CMHalfSize','var')
CMHalfSize = 32;
end
FirstCM = linspace(1,0,CMHalfSize)'*StartingColor;
FirstCM = FirstCM + li... |
affe35fd663e5738531785b3197ba971d0e9dd970c4b4a99a2e6287c6a2b649e | MATLAB | 492 | 20 | function J=vl_imsc(I)
% VL_IMSC Scale image
% J=VL_IMSC(I) scales the range of the gray-scale or color image I to
% fit in the interval [0,1].
%
% See also: VL_HELP().
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made avail... |
b0c7fe0fd7e716b33a06e87ea3f2d837185832ececb8a882c154bffce40579d1 | MATLAB | 492 | 18 | function handles = fix_FixDeathEvent(handles,fly)
% add or remove fly's death event from suspicious sequences list, as appropriate
% splintered from fixerrorsgui 6/21/12 JAB
f = handles.trx(fly).endframe;
if f == handles.nframes,
handles = fix_RemoveDeathEvent(handles,fly);
else
for i = 1:length(handles.seqs)
... |
ea4c99ba36e9995f54f452149b8d19a3e82a91b1e8b5e04c8a292d46bf6cdd01 | MATLAB | 492 | 11 | function ml_egomaps_draw_segments(segments)
% Each row has x1y1x2y2 coordinates for a line segment
hold on
for k = 1:size(segments,1)
plot(segments(k,1), segments(k,2), 'ro', 'markerfacecolor', 'r', 'markersize', 10);
plot(segments(k,3), segments(k,4), 'ro', 'markerfacecolor', 'r', 'markersi... |
2bcbda36ba9f95ccf1e3d5f02c0b532412e5e01b57537a5fe62fe1076c674666 | MATLAB | 493 | 8 | %----FUNCTION:
% extract statistical color features (mean and standard deviation) from various of color spaces (RGB, HSV, LAB, Opponent color space)
function [gradArr_c, gradArr_s] = sp_gradient_grid_cs(chns, grid_x, grid_y, patch_size, surrWidth)
nPatch = numel(grid_x); nDims = size(chns.dog, 3) + size(chns.gabor... |
bcb8f866e5bd56cc562c815e155c04eedf8b9383a11e481191cb0d7828e495de | MATLAB | 493 | 19 | function v_SigFilt = f_SOSfilt(pst_Filter,pv_Signal)
s_Scale = double(pst_Filter.G);
pst_Filter = double(pst_Filter.SOS);
[s_SecNum,s_CoefNum] = size(pst_Filter);
if s_CoefNum ~= 6
error('[ERROR - f_sosfilt] - Filter Matrix is not SOS')
end
v_SigFilt = double(pv_Signal);
for kk = 1:... |
9bc28e186de7fe02a6b998847df7f461780a760104df0e5426642869f4997dc3 | MATLAB | 494 | 19 | function [f,P1] = getPSD(sig,maxFreq)
%GETPSD get power spectrum density
% already remove the first freq value
% return f(n), P1(n,conds), n is the linear point of f axis.
Fs = 100000; % Sampling frequency
L = size(sig,1); % Length of signal
Y = fft(sig);
P2 = abs(Y... |
9f553d94db5ad0e0adf9d69d90b62fad096b179c382634be5f73c3649945c6c9 | MATLAB | 494 | 16 | function chantitle=SONGetChanTitle(fh, chan)
% SONGETCHANTITLE Returns the channel title
%
% TITLE=SONGETCHANTITLE(FH, CHAN)
%
% INPUTS FH is the file handle
% CHAN is the channel number (0 to SONMaxChans()-1
% OUTPUT the channel title as a string
%
% Author:Malcolm Lidierth
% Matlab SON library:
% ... |
a7e51b484455221bdbfd3e86dbbe686b4559d220e14efbfd3066aa76ee1038ad | MATLAB | 494 | 18 | %% get heritability and p-value of each edge
load('heritability_VBM.mat')
her_real = heritability(1,:);
her_rand = heritability(2:end,:);
roi_num = 48;
edge_mask = logical(tril(ones(roi_num),-1));
her = zeros(roi_num);
her(edge_mask) = her_real;
her = her + her';
her_p_vector = (sum(repmat(her_real,size(her_rand,1),... |
fc5b0d06dbfa0793212fd441bc50aadfb2a6292a83c26170c6c808b4c9ec039d | MATLAB | 494 | 16 | opF =
mouse: 'Thalamus45'
date: '20160601'
nucleus: 'VPM'
whiskers: 'W'
CSCs: [1 2 3 4 5 6 7 11 12 13 14 15 16]
sRate: 1000000
time_start: 5.2796e+09
time_end: 8.8507e+09
Timestamps: [1x89280 double]
... |
6105a202b7200293263813a53ec887b00ad69222c31a502769d5987029484764 | MATLAB | 495 | 7 | OPT_S.las_SLM_flag = 1;
OPT_S.cam_SLM_flag = 1;
activate_func_had_fin(SC,OPT_S); %activate final function on both SLMs
I=take_unsaturate_photo(SC,'BSI');
figure(1795);imagesc(I);title(['ind: ' num2str(ind_it) ' of: ' num2str(OPT_S.total_reps)])
OPT_S.ints(1) = sum_middle(I,OPT_S.mid_p... |
99016f9d7e73236d4e75cdfc81daaba131e2a23cb9cc00a7e5af4849a052acce | MATLAB | 495 | 19 | function [quality] = ml_cai_quality_led_separation(x1, x2, minSep, maxSep)
% x1 should be (N,2) where x(1,:) = i, j
N = size(x1, 1);
if size(x1) ~= size(x2)
error('The sizes of x1 and x2 must be the same.')
end
% Calculate the distance between the two leds
sep = sqrt( (x1(:,1) - x2(:,1)).^2 + (x1(:,2) - x2(:,2)).^... |
15110a41f5a2c61961b46843d6b4efd7e638e510a883b6ae4b0a7be332f289bc | MATLAB | 496 | 19 | function ticks=SONGetTimePerADC(fh)
% SONGETTIMEPERADC returns the number of clock ticks per ADC conversion
% TICKS=SONGETTIMEPERADC(FH)
% FH = file handle
% Returns the number of ticks (no error codes)
%
% See also SONGETUSPERTIME, SONCHANDIVIDE
%
% Author:Malcolm Lidierth
% Matlab SON librar... |
2d1ecb76a5781a6efefa078a7b6d14719b76070ffdb3d0a50769747402821d0e | MATLAB | 496 | 21 |
% function f_Matrix2RelAmplitud.m
%
function m_RelPowAmp = ...
f_Matrix2RelAmplitud(...
pm_InMatrix)
if nargin < 1
error('[f_Matrix2RelAmplitud] - ERROR: bad number of parameters!')
end
m_RelPowAmp = pm_InMatrix;
clear v_SumArray
v_SumArray = sum(pm_InMatrix, 2);
fo... |
720e10d82b9face9a7d9cedf85c53a0bc74763456b37b6db3406f3e3d9717d14 | MATLAB | 496 | 19 |
function class_info=gen_class_info_person_parts()
class_info=[];
class_info.class_names={'background'; 'Head'; 'Torso'; 'Upper Arms'; 'Lower Arms'; 'Upper Legs'; 'Lower Legs'};
assert(length(class_info.class_names)==7);
class_label_values=uint8([0:6]);
class_info.class_label_values=class_label_values;
clas... |
9bcbd0522dcdb360cb27d8a7eae03e038dcdb1ee9b6df7de2fea63f68b6ffa43 | MATLAB | 496 | 8 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [hFig] = plot_per_day_animal_averaged_rate_difference_matrix(DaysToSessions, RateMatrices, perCellNormalizationMethod, perAnimalNormalizationMethod)
T = compute_per_day_animal_averaged_rate_difference_matrix(DaysToSessi... |
a3fc531522bb251b54a369b746a4ec6f880265e0da10991ff0be8a70a32d3969 | MATLAB | 496 | 19 | function [PDF,lags] = isiPDF2D(delta_mat)
%isiPDF2D.m
% will not look for serial dependencies across rows
ISI = getISI(delta_mat,true);
ixOK = cellnumel(ISI) >= 2;
ISI1row = cellfun(@(x) x(1:end-1), ISI,'UniformOutput',false);
ISI1 = cell2mat(ISI1row(ixOK));
ISI2row = cellfun(@(x) x(2:end), ISI,'UniformOutput',false)... |
04e89203cdeaa3e499bcb42ccfd5c3d85083a0902205bc5877ba1388d0eb64c8 | MATLAB | 497 | 20 | function t = structn(obj)
% Convert a NIFTI-1 object into a form of struct
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: structn.m 8776 2013-11-14 09:04:48Z roboos $
if numel(obj)~=1,
error('Too many elements to conv... |
fe4eed243267b254c4b7971ccd2f5e1844d5d63366106930cd5083cee4d4dee5 | MATLAB | 497 | 19 | function [err]=SONBookFileSpace(fh, lspace)
% SONBOOKFILESPACE Allocates disk space for a file
% ERR=SONBOOKFILESPACE(FH,LSPACE)
% FHH SON32.DLL file handle
% LSPACE space in bytes
% Returns 0 or a negative error code
%
% Author:Malcolm Lidierth
% Matlab SON library:
% C... |
a30741b2709e26ec54bef85b7dfdfadff816444d4544b7e672f8ae8d044a6e8a | MATLAB | 498 | 18 | function direction=find_upcoming_direction(current_target,next_target)
%% find_upcoming_direction finds the angle of the upcoming arm reach based on the targets' position
% INPUTS
% current_target: [x,y] position of the current target
% next_target: [x,y] position of the following target
% OUTPUT
% direction=angle be... |
be5fb71d2e16992d2628df3d4b9b297d005e9436f56dbfa12c058a73ef218734 | MATLAB | 498 | 23 | function [s, mask] = vectorize_mask(S, mask)
if nargin == 1
mask = ~isnan(S(:,:,:,1));
end
if ismatrix(S)
n = size(S, 1);
[x, y, z] = size(mask);
s = NaN([x, y, z, n], 'like', S);
for i = 1:n
tmp = NaN(x, y, z, 'like', S);
tmp(mask(:)) = S(i, :);
s(:,:,:,i) = tmp;
end
else
nl = length( mask... |
be66dc2b4b1bb61f921425dc7ce618fe9aea6432e1f3ec53c3278e3b747a1486 | MATLAB | 499 | 24 | function sdf = plotSpikeDensityfunction(spikeTimes)%% Spike Density Function
%% Get Data
spikeTimes = round(spikeTimes*1000)/1000;
timeVec = [0:1/1000:33.0160]';
timeVec = round(timeVec*1000)/1000;
binned = timeVec == spikeTimes';
binned = sum(binned,2);
%% Kernel
kernel_sd = .05;
edges = -3 * kernel_sd : .001 : .... |
5950d7e26eab42e90eda8dbbc0b113177cc7d33800f5087dd640576bb520c007 | MATLAB | 500 | 25 | %% compare edge via TFNBS
load('group_data_DBM.mat')
roi_num = 48;
data_group{1,1} = data.HC;
data_group{2,1} = data.MS;
data_group{3,1} = data.NMO;
M = 10000;
Mask_net = ones(roi_num);
Mask_net(1:length(Mask_net)+1:end) = 0;
Pthr = 0.05;
E = 0.5; % extension enhancement parameters
H = 2.25; % height enhancement ... |
6c02e5e4a42c1bc49668339d1cb6621fe41961dc1f489962804a13b6786f9733 | MATLAB | 500 | 15 | function y = vl_dsigmoid(x)
% VL_DSIGMOID Derivative of the sigmoid function
% Y = VL_DSIGMOID(X) returns the derivative of VL_SIGMOID(X). This is
% calculated as - VL_SIGMOID(X) * (1 - VL_SIGMOID(X)).
%
% See also: VL_SIGMOID(X), VL_HELP().
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All righ... |
77e763ee874715d529bb4ebe4dc519d5aba37b468799b5232baaa4df8ceeb14f | MATLAB | 501 | 23 | %
% Read a network statistic.
%
% RETURN VALUES
% data (k*) Vector of all computed values
%
% PARAMETERS
% statistic Internal name of statistic
% network Internal name of network
% k (optional) Number of values to return; by
% default, return all values
%
function data = read_statistic(statistic, network, k)
... |
984da0ea9e2b996d108224f4bb5f811306b2f7ddefebe9524be42287bb66ee64 | MATLAB | 502 | 16 | function traces=generate_traces_from_masks(video,masks)
% Generate traces for each neuron from ground truth masks
[Lx,Ly,T]=size(video);
[Lxm,Lym,ncells]=size(masks);
if Lx==Lxm && Ly==Lym
video=reshape(video,[Lxm*Lym,T]);
else
video=reshape(video(floor((Lx-Lxm)/2)+1:floor((Lx+Lxm)/2),floor((Ly-Lym)/2)+1:floor... |
4ef51b908b37a34a490e8b3050d44c33dfd3e3426ac129a968f4601426d661c2 | MATLAB | 503 | 18 | <<<<<<< HEAD
function template = createTemplate(result_f, general)
% if there isn't an enroll function stop the process
try
template = feval(general.ENROLL_function, char(result_f(1)));
catch
template = ''; % FTE value
=======
function template = createTemplate(result_f, general)
% if there isn't an enroll fu... |
213ac51dd1ef67c7169ef56fbb23b87d7dd81d9ab1d54a0f4b7b83ea65700d2e | MATLAB | 504 | 20 | function [bytes]=SONChanBytes(fh, chan)
% SONCHANBYTES returns the number of bytes written, or buffered, on the
% specified channel
% BYTES=SONCHANBYTES(FH, CHAN)
% FH SON file handle
% CHAN Channel number 0 to SONMAXCHANS-1
%
%
% Author:Malcolm Lidierth
% Matlab SON l... |
44bc89ea60051ff671c5e15792fb1846d6b8b7a1bcb3bac72bfe1fabfa42ae76 | MATLAB | 504 | 17 | function path = vl_root
% VL_ROOT Obtain VLFeat root path
% PATH = VL_ROOT() returns the path to the VLFeat installation.
%
% See also: VL_SETUP(), VL_HELP().
% Authors: Andrea Vedaldi and Brian Fulkerson
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of ... |
5da5a86ba2f3b679b1b062b304ba40ada88955abdc80860288e8124b7e7d8f5c | MATLAB | 504 | 26 | function y=rmvspikes(x,W);
if nargin<2, W=5; end;
dx=detrend(diff(x));
ii=find(abs(dx)> 2*std(dx));
jj=ones(length(dx),1);
jj(ii)=0;
SD = std(dx(find(jj)));
ii=find(abs(dx)> 2*SD);
ii = reshape(ii,1,[]);
%ii=ii';
y=x;
LL = length(y);
for i=ii,
if i<W+2,
y(1:i+W) = y(i+W+1);
elseif i>LL-W-... |
427376ca877f69f3b1e6de0194e91602e8b8139a7c1df75bb9cc5fec2e997cb5 | MATLAB | 505 | 19 | function x = calc_FD_HCP(prefix,brain_radius_in_mm)
if nargin < 2
brain_radius_in_mm=50;
end
%% Read the first 6 columns
formatSpec = '%f%f%f%f%f%f%[^\n\r]';
fileID = fopen(prefix,'r');
dataArray = textscan(fileID, formatSpec, 'Delimiter', '', 'WhiteSpace', '', 'ReturnOnError', false);
fclose(fileID);
X = [dataA... |
7922d62b64ef7622ca65d923b0a5ba4073eda67f3e26a2cc86547aa6daef5749 | MATLAB | 505 | 11 | mice = {'EC1-1R','EC1-1R','FL5-3L','FL5-3L','FU1-00','FU1-00','GE3-00','GE7-1L1R','GE7-1L1R','GS2-1L','GS8-00','GS8-00'};
dates= {'2021-11-05','2022-01-13','2022-03-09','2022-04-18','2022-03-17','2022-05-10','2022-10-27','2022-10-20','2022-12-20','2022-11-21','2022-11-23','2022-12-20'};
decon_matrices=cell(12,1);
for... |
c16d2fb242c7cdccb595da1f665e0de50c83fd88a4561efa79a059b868280542 | MATLAB | 505 | 14 | function [boxesOut uniqueIdx] = BoxRemoveDuplicates(boxesIn)
% function boxOut = BoxRemoveDuplicates(boxIn)
%
% Removes duplicate boxes. Leaves the boxes in the same order
% Keeps the first box of each kind.
%
% boxesIn: N x 4 array containing boxes
%
% boxexOut: M x 4 array of boxes witout duplicates... |
cc7e53c0f9bf78392aff6df7447060b90c72a4272c8a6f0415f04e4db08ba081 | MATLAB | 505 | 15 | function [folders] = ml_dir_regexp_folders(containerFolder, str)
% Get all of the matching child folders.
files = dir(fullfile(containerFolder, '*'));
keep = zeros(1, length(files));
for i = 1:length(files)
if regexp(files(i).name, str) & files(i).isdir == 1
keep(i) = 1;
else... |
caaa7f6938e162735ba9722488566cd3551da19de2f7372f1d0de342f971ec06 | MATLAB | 506 | 18 | classdef MLExperimentInterface < handle
%MLExperimentInterface Interface to an experiment
% An interface to an experiment
methods (Abstract)
getAnimalName(obj)
getImagingRegion(obj)
getExperimentName(obj)
getArenaGeometry(obj)
getNumSessions(obj)
getSes... |
75ee96fb1d30286189e9935103ce0ef240eb4c4233c231c73d79863d5e3f1d5c | MATLAB | 507 | 18 | function nblocks=SONBlocks(fh,chan)
% SONBLOCKS returns the number of blocks written to disk for the channel
% [NBLOCKS]=SONBLOCKS(FH,CHAN)
% FH SON file handle
% CHAN is the channel number from 0 to SONMAXCHANS-1
% Returns 0 or the number of blocks;
%
% Author:Malcolm Lidierth
% ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.