sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
0f4b730458f0b02aed1c2589106cbea7fc117e1e534bc7a5d7a80b679b87740c | MATLAB | 508 | 29 | function [L] = labelPeaks(m,dim)
% labelPeaks.m 10/8/22
% binary output pks or not
assert(dim > 0 && dim < 3,'dim > 2 not yet supported');
if dim == 1
mT = m'; % find peaks w/n rows, undo below
else
mT = m;
end
sz = size(mT);
n = sz(1);
LT = zeros(sz);
for r = 1:n
... |
27d89f30811ff8aa0e0223483e82a0833fce7706f8d556cc9226b70942041446 | MATLAB | 509 | 24 |
function [dir_names, file_infos]=my_list_dir(ds_dir)
file_infos=dir(ds_dir);
dir_names=cell(0, 1);
valid_sel=false(length(file_infos), 1);
for dir_idx=1:length(file_infos)
one_dir_name=file_infos(dir_idx).name;
if strcmp(one_dir_name, '.') || strcmp(one_dir_name, '..')
continue;
end
if ~file_... |
2084172ebd9bfd8ced6e9bbff8a1f68e2bde5b7bc831b6412ecc16cecc97b11e | MATLAB | 510 | 21 | function [lDivide]=SONChanDivide(fh, chan)
% SONCHANDIVIDE returns the clock ticks per ADC value from the specified
% channel
% LDIVIDE=SONCHANDIVIDE(FH, CHAN)
% FH SON file handle
% CHAN Channel number
%
% See also SONGETUSPERTIME
%
% Author:Malcolm Lidierth
% Ma... |
33c3876fcffdd000653d43d15f9c6d94c2322b1e8cc7a3e9711e2fb13b6f0b2d | MATLAB | 510 | 11 | % mglCreateFrameBufferObject.m
%
% $Id: mglCreateFrameBufferObject.m cgb $
% usage: mglCreateFrameBufferObject(width, height)
% by: Christopher Broussard
% date: 09/07/10
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Creates a OpenGL frame buffer obje... |
3e587e791776250489456ecf247a60f9245101347b792e6a33161b6df32e8033 | MATLAB | 510 | 18 | function SONSetADCUnits(fh, chan, units)
% SONSETADCUNITS sets the units string for a channel
%
% SONADCUNITS(FH, CHAN, UNITS)
% where FH is the SON file handle, CHAN is the channel number and UNITS is
% the string to be written to the file.
%
% No return value
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Cop... |
7493af00d5790b2600e031b0b582465931b49f438010410f828eea35cde9c683 | MATLAB | 510 | 18 | % clearForNewCell.m
%
% Function to clear persistent and global variables used in runEphysExpt()
% so that a new cell starts fresh
%
% CREATED: 3/11/20 - HHY
%
% UPDATED:
% 3/11/20 - HHY
% 3/22/20 - HHY added global variable firstLegVidTrial
function clearForNewCell()
clear runEphysExpt % has persistent var... |
cb4c7175979ca9836b8e407dd54468c9f2739d21a8b6222fca29045675606f8c | MATLAB | 510 | 10 | function [boxes_c, boxes_s] = getSurroundings2(grid_x, grid_y, imh, imw, patch_size, surrWidth)
xc_lo = grid_x; xc_hi = grid_x + patch_size(1) - 1;
yc_lo = grid_y; yc_hi = grid_y + patch_size(2) - 1;
boxes_c = uint32([yc_lo, xc_lo, yc_hi, xc_hi]');
xs_lo = max(1, grid_x - surrWidth + 1); ys_lo = max(1, grid_y - s... |
d7c295472946e0f87393ebb869fe2ba87918addc579dfd02572d18a2d272f092 | MATLAB | 510 | 11 | function [meanFiringRateMap] = ml_placefield_meanfiringratemap_smoothbeforedivision(spikeCountMap, dwellTimeMap, kernel)
% Compute the mean firing rate map, lambda(x,y)
%meanFiringRateMap = imgaussfilt(spikeCountMap,4)./ imgaussfilt(dwellTimeMap,8);
meanFiringRateMap = imfilter(spikeCountMap, kernel) ./ im... |
07696a07a369c3208526659a24e6b4b3063c8474666590b4a6ffd958f66afd5a | MATLAB | 511 | 16 | function [ data ] = ml_cai_scope_h5_read_timeseries( filename )
% Reads a 'scope.hdf5' file specified by the filename given in filename
h5Fields = {'frame_quality', 'framenum_local', 'framenum_global', 'timestamp_ms', 'videonum' };
matFields = h5Fields;
numFields = length(h5Fields);
for iF = 1:numFields
fieldName... |
b9c7fa211934ae0457a0af87f50ac5523b6f472795bca4e954bb62c249a2d202 | MATLAB | 511 | 16 | function [ data ] = ml_cai_behav_h5_read_timeseries( filename )
% Reads a 'behav.hdf5' file specified by the filename given in filename
h5Fields = {'frame_quality', 'framenum_local', 'framenum_global', 'timestamp_ms', 'videonum' };
matFields = h5Fields;
numFields = length(h5Fields);
for iF = 1:numFields
fieldName... |
07286b5b64deed2a575538a79924346f08a4e2403b7410fd2d9ffc88af952d11 | MATLAB | 512 | 14 | % Prepares DSS calculation environment. Currently only compiles the
% testkeypress MEX function.
% 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/.
% $Id: prepare... |
1a8803d8234e8d49a32eda066f63adecc658459d5ccc71f3754c5ebc0bd1ad59 | MATLAB | 512 | 15 | function [trialFolders] = ml_dir_trial_folders(containerFolder)
% Get all of the trial folders.
files = dir(fullfile(containerFolder, '*'));
keep = zeros(1, length(files));
for i = 1:length(files)
if regexp(files(i).name, '^(trial_)\d+$') & files(i).isdir == 1
keep(i) = 1;
el... |
4d5c4919e94da474c9ba95cc3008b546d661f724c1ccdd1192ef2f70ad5c2f61 | MATLAB | 513 | 18 | function v_SumHMS = f_AddTimeHMS(pv_HMS1,pv_HMS2)
v_SumHMS = [0 0 0];
for kk=1:3
v_SumHMS(kk) = pv_HMS1(kk) + pv_HMS2(kk);
if kk==2 && (pv_HMS1(2)+pv_HMS2(2)) >= 60
v_SumHMS(1) = v_SumHMS(1)+1; %This adds 1 hour
v_SumHMS(2) = v_SumHMS(2)-60; %this gives the correct minutes
end
... |
6d0dd1368074bac59b4e5858f535debda9f268221815217ced1032e61a83bc71 | MATLAB | 514 | 29 | function lpp_plot_break_yaxis(xdata,ydata)
% xdata:
% ydata:
ax = gca();
set(ax,'XLimMode','manual');
patch( ...
'Parent',ax, ...
'XData',xdata, ...
'YData',ydata, ...
'FaceColor','w', ...
'EdgeColor','none', ...
'Clipping','off');
line_xdata = [xdata(1:2) NaN xdata(3:end)];
line_ydata ... |
afe5ad725b3e5cb5e3261c7beb40d9f43a19696fea62e8847bd12ff0fa3aa92e | MATLAB | 514 | 17 | %% Update Assigned Tracks
function [tracks] = updateAssignment2(tracks,assignments,DT)
if ~isempty(assignments)
numAssignedTracks = size(assignments, 1);
for i = 1:numAssignedTracks
detectionIdx = assignments(i, 1);
trackIdx = assignments(i, 2);
% Replace data with matches
tracks(trackIdx).data = DT(d... |
b016f018e48ba532aca8767434d79ed38b93f45edf58fe92a21f94c9867c2ea5 | MATLAB | 514 | 28 | %
% Average between subject, object and global mean.
%
% PARAMETERS
% T (r*3) Subject ID, object ID, rating
% m,n subject count, object count
%
% RESULT
% U,V (m*1,n*1) Vectors such that U 1 + 1 V' is an approximation
%
function [U,V] = means_euv(T, m, n)
A = konect_spconvert(T, m, n);
A_mask = (A ~= 0);
e = .1... |
b5bc2505794e8dae76fd5f89a32993587980cdcb6efa3aca06c65dd22578dc49 | MATLAB | 514 | 20 | function y = vl_rcos(r,x)
% VL_RCOS RCOS function
% Y = VL_RCOS(R,X) computes the RCOS function with roll-off R.
%
% 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 available under
% the terms of the BSD... |
b9d3ec1e933f5b3077c512bba1933d45d8a5e7ccf863c78cbe38c448ff530c29 | MATLAB | 514 | 18 | function results = vl_test_imwbackward(varargin)
% VL_TEST_IMWBACKWARD
vl_test_init ;
function s = setup()
s.I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
function test_identity(s)
xr = 1:size(s.I,2) ;
yr = 1:size(s.I,1) ;
[x,y] = meshgrid(xr,yr) ;
vl_assert_almost_equal(s.I, vl_imwbackward(xr,yr,s.I,... |
4ba0ac0e92d8077c826161e75e9d5aadbdac9a4d679abcb5aebd5634545ee985 | MATLAB | 515 | 25 | %
% Plot one BETA curve.
%
% PARAMETERS
% p (e*1) Node indexes
% q (e*1) Multiplicities; [] to denote all ones
% enable_normalization Enable division with degree sum
% type
%
function beta_one(p, q, type)
colors = konect_colors_letter();
font_size = 24;
if length(q) == 0, q = 1; end
degrees = full(sparse(p, 1, q... |
82dd4c333a6cb91bc746df3f7703a15ff5e0eb045c00288542da175b9fb72b07 | MATLAB | 516 | 21 | %% function img = load_nii_img_only(filename)
%
% Description: Load images data only
%
% Kwok-shing Chan @ DCCN
% k.chan@donders.ru.nl
% Date created: 9 October 2016
% Date modified: 11 September 2018
% Date modified: 26 June 2020 (v0.8.0)
%
% cleaned up X.L.
function img = load_nii_img_only(filename)
... |
bd68939dd7d96a4680b8ea2604cc93bf24c945f3aaf7cd8292f835950d1111c7 | MATLAB | 518 | 15 | function [SC,OPT_S] = had_add_reps(SC,OPT_S)
%this functions asks the user if he wants to add iterations, and sets accordingly.
ind_it = OPT_S.ind_it;
SC = laser_off(SC);
new_reps_num = input('how many more masks? ');
ind_val = floor(ind_it/OPT_S.val_interval);
OPT_S.total_reps = OPT_S.total_reps+new_reps_num;
i... |
1886b2b27a1b042c2746fbfe96c372f530718aa910b06c648002b51ee4b8c46c | MATLAB | 519 | 22 | function L = encapsulate_watershed_matrix(L)
%This function superfically changes the label matrix so that the edges of
%it are surrounded by borders
empty_watershed = max(L(:));
temp = L(1,:);
temp(temp ~= empty_watershed) = 0;
L(1,:) = temp;
temp = L(end,:);
temp(temp ~= empty_watershed) ... |
349b7d8c0d1d4ffb3b8d1eb4b61fd77bab0731dd7ad1de537e8ec9371936d922 | MATLAB | 519 | 24 | function isPloted = rvSpace(r,v,pop,cond,state)
%RVSPACE plot a (r,v) phase plane
% Detailed explanation goes here
if state == "all"
startFrom = 1;
endTo = length(r(pop,:,cond));
elseif state == "before"
startFrom = 1;
endTo = 100000;
elseif state == "after"
startFrom = 100001;
en... |
789d997eb82b88a25a725ba6399d29f9a1b7b029ea3ac2d914da0cd8043d3db4 | MATLAB | 519 | 21 | function fim = fftconv2(im,f)
% function fim = fftconv2(im,f)
%
% Convolution using FFT.
%
% David R. Martin <dmartin@eecs.berkeley.edu>
% March 2003
% wrap the filter around the origin and pad with zeros
padf = zeros(size(im));
r = floor(size(f,1)/2);
padf(1:r+1,1:r+1) = f(r+1:end,r+1:end);
padf(1:r,end-... |
1e9447eaf4bd4feb7d344dbe995ffe2094e6aa2d59a5758f713d458967308224 | MATLAB | 520 | 27 | clc;
fprintf('Step 1: ')
dispstat('','init')
length = 10000;
for i = 1:length
dispstat(sprintf('%i%%', floor(i / length * 100)), 'timestamp')
end
dispstat('DONE', 'timestamp',z 'keepthis')
fprintf('Step 2: ')
for i = 1:length
dispstat(sprintf('%i%%', floor(i / length * 100)), 'timestamp')
end
d... |
39ecf29607a91642035c1c38697e82c6e329616324ecb2b5416c4b41ee62f389 | MATLAB | 520 | 21 | function output = convCutn(tc, impulse, nTerms)
% Function similar to convCut.m, but now for matrices
% convCut2(input, impulse, nTerms)
%
% INPUTS -----------------------------------------------------
% tc : (double) a 2D flattened time course
% impulse : an impulse response function
% nTerms : number o... |
74eb2a6267f554c8fbdd3d820c1fcc6a15848673edaa76d25bee3e01e21ffc86 | MATLAB | 520 | 19 | % Example of constrained problem.
% This example corresponds to MEIGO toolbox example: ex2.m
% http://gingproc.iim.csic.es/meigo.html
function [y g R] = matlabCost(x)
g = [];
R = [];
% specific function code begins
y=-x(1)-x(2)
g(1)=x(2)-2*x(1).^4+8*x(1).^3-8*x(1).^2;
g(2)=x(2)-4*x(1).^4+32*x(1).^3-88*x(1... |
796a22977a37e48161755ee18c55813e091ff115c15093fc3c36f14716cd7b78 | MATLAB | 520 | 18 | % SONAPPID sets or gets the creator lable from a SON file
%
% Implemented through SONAppID.dll
%
% LABLE=SONAPPID(FH)
% returns the creator lable
% LABLE2=SONAPPID(FH, LABLE2)
% sets the lable to LABLE2 then reads it back to LABLE1
%
% FH is the SON file handle
% LABLE, LABLE1 etc are M... |
73965b6803f3806000aa060af0ed72b330f6b8ecb130c15d138cadd1dc013f57 | MATLAB | 522 | 28 | [pref]= get_event_preference(outcomes,ds_events,2)
%%
somcount=0;
nullcount=0;
pvcount=0;
for d = 1:length(pref)
cur_sig=pref(d).sompv_sig;
for i =1: size(cur_sig,2)
if cur_sig(1,i)==0
nullcount=nullcount+1;
else
if cur_sig(2,i)>0
somcount=somcount+... |
189d752034538a601abb633838dc74d72c7efee73dfbfd71262de36deb7e3cc2 | MATLAB | 524 | 18 | %% fun
load('unrelated_sub_matrix_fun.mat')
sub_mean_fun = mean(sub_matrix,3);
sub_cell_fun = cell(size(sub_matrix,3),1);
for i_sub = 1:length(sub_cell_fun)
sub_cell_fun{i_sub} = sub_matrix(:,:,i_sub);
end
Gt_fun = GradientMaps('kernel','cosine','approach','dm');
Gt_fun = Gt_fun.fit(sub_mean_fun);
Gs_fun = Gradi... |
a764ee8db55705ba791ee6bdce03462bf6e16e22eb914d364331c55af2d22410 | MATLAB | 524 | 22 | function result=scverLessThan(toolboxstr, verstr)
% scverLessThan is needed for MATLAB versions without the verLessThan function
try
result=verLessThan(toolboxstr, verstr);
catch
toolboxver = ver(toolboxstr);
toolboxParts = getParts(toolboxver(1).Version);
verParts = getParts(verstr);
... |
591990a7448cd9286fda5e252bd1fd7a3fe778cbb96faec1fe3085388ce7334a | MATLAB | 525 | 21 | function vl_assert_exception(func, errorId, errorMessage)
% VL_ASSERT_EXCEPTION
try
func() ;
catch
e = lasterror ;
if nargin >= 2
assert(isequal(e.identifier, errorId), ...
'Exception ID ''%s'' is not ''%s''.', ...
e.identifier, errorId) ;
end
if nargin >= 3
assert(isequal(e.mes... |
b3da5c0125752ee479d114363af79ecc955ec71eef9d479b3a7e548e0e953269 | MATLAB | 525 | 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 Lidi... |
f00d62d4051658088b44ecbed824dfdc4e29f060313bd728af048fa991ffc6b2 | MATLAB | 525 | 17 | function X = randlap(n,N);
% RANDLAP Laplace distributed random numbers.
% s = RANDLAP(n, M)
% n dimension
% N sample size
% 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.... |
12e8757ba1c771d89a0db925642a2d7875dfc54b1a00ced7f58c78cf249efac1 | MATLAB | 526 | 15 | function kind=SONChanKind(fh, chan)
% SONCHANKIND Returns the channel type
% KIND=SONCHANKIND(FH, CHAN) where FH is the file handle
% CHAN is the channel number (0 to
% SONMAXCHANS-1)
% Returns kind as an enumerated string - see CED documentation for val... |
6435b6cd91c3218c085c46a92333e01ae82f0f093522579a129ce8806f216ab9 | MATLAB | 526 | 21 | function out = isnan(fa)
% Convert to numeric form
% FORMAT isnan(fa)
% fa - a file_array
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: isnan.m 8776 2013-11-14 09:04:48Z roboos $
bs = 10240;
m = size(fa);
fa = reshape... |
8dde8e6f7715eba08d0765989e05242b6bcf34154fd5be62e3ec4baeae298fd4 | MATLAB | 526 | 29 | function makePlotPrettyNow(fontsize,fontflag,linenum)
if nargin<1
fontsize = 25;
end
if nargin<2
fontflag = false;
end
if nargin<3
linenum = 2;
end
if fontflag
fontname = 'Times';
else
fontname = 'Helvetica';
end
%makes the plot pretty... now.
set(gcf,'color','w');
set(gca,'FontName',fontname... |
37724a4874ae7ca1bcc551a4c56d43dd4dd82393d32d96f637255d05e25cd525 | MATLAB | 527 | 20 | function c = ForwProbV1Cons(x,ynn_v,tv,no,msteam_st_v,mfg_st_v,Tsteam_in_st_v,Tfg_in_st_v,cpfg_st_v,cpsteam_st_v)
ynn_v_r = x(1:tv*no);
ynn_v_r = reshape(ynn_v_r,size(ynn_v));
ynn1_v_p = ynn_v_r';
Tsteam_out_st_NN_r = ynn1_v_p(:,1);
Tfg_out_st_NN_r = ynn1_v_p(:,2);
c1 = [ynn1_v_p(:,1);ynn1_v_p(:,2)];
Q... |
430c7e47438f5df2e4c2eaff02f9970f18fde3c22d3a9a574327e120801c1b8e | MATLAB | 527 | 15 | %% mff_micros2Sample.m
% Matlab File
% author Colin Davey
% date 3/2/2012
% Copyright 2012, 2013 EGI. All rights reserved.
% Support routine for MFF Matlab code. Not intended to be called directly.
%
% Converts from microseconds to samples, given the sampling rate.
%%
function [sampleNum, remainder] = mff_micros... |
daeb4bdf6097072b5690e5b32799c6d85419581387a736e6047750f4d15deb89 | MATLAB | 527 | 18 | function SONSetADCUnits(fh, chan, units)
% SONSETADCUNITS sets the units string for a channel
%
% SONADCUNITS(FH, CHAN, UNITS)
% where FH is the SON file handle, CHAN is the channel number and UNITS is
% the string to be written to the file.
%
% No return value
%
% Author:Malcolm Lidierth
% Matlab SON libr... |
11b50b06a8123158b394b46ea663f7ceb60b5bf39d45c26d684b5f15212dcdb8 | MATLAB | 528 | 16 | % VL_IHASHFIND Find labels in an integer hash table
% SEL = VL_IHASHFIND(ID, NEXT, K, X) returns a vector SEL of the
% entires in the hash table ID,NEXT,K corresponding to the labels
% stored as columns of X.
%
% The format is the same as for the functino VL_IHASHSUM().
%
% See also: VL_IHASHSUM().
% Author... |
1fa20a80f48b3600ab3824b814eaa66054f8a8cca3f60a24f43caeeaccc5877a | MATLAB | 528 | 19 | function [nose, theta] = removeFramesExplicit(nose, theta, irmv)
LL = length(nose.t);
noseFields = fieldnames(nose);
for fname = noseFields',
if length(eval(sprintf('nose.%s',cell2mat(fname)))) == LL,
eval(sprintf('nose.%s(irmv)=nan;',cell2mat(fname)));
end
end
noseFields = fieldnames(theta);... |
55b04a66fb5d51fb04baace8b8018db761c36e9aea2d0c8a3600b3e6d4557d04 | MATLAB | 528 | 15 | function h = vl_ikmeanshist(K,asgn)
% VL_IKMEANSHIST Compute histogram of quantized data
% H = VL_IKMEANSHIST(K,ASGN) computes the histogram of the IKM clusters
% activated by cluster assignments ASGN.
%
% See also: VL_IKMEANS(), VL_IKMEANSPUSH(), VL_HELP().
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkers... |
90bc2fdeba7bc0f4069b9a3dce55bb3f443cffa97762b531306c0c8f71acfb35 | MATLAB | 528 | 23 | function estParams = indepGaussFit(X)
%
% estParams = indepGaussFit(X)
%
% Fit parameters of an independent Gaussian model
%
% xDim: data dimensionality
% N: number of data points
%
% INPUT:
%
% X - data matrix (xDim x N)
%
% OUTPUTS:
%
% estParams.d - mean of each observed dimension (xDim x 1)
% estParams... |
aa12c39d4e3d7e5c0e3fa3603b091f4d86ac9ffc54408a3b58e46ec41400b839 | MATLAB | 528 | 14 | function [predicted_behavior_rate] = PredictLNP(LEDPower, linear_kernel, modeled_fit, bin_size)
%Predicts the behavioral rate based on LNP model parameters; not used in paper
if nargin < 4
%no bin size specified
bin_size = 1;
end
filtered_signal = padded_conv(LEDPower, linear_kernel);
... |
4cf702580aa17d243be60bceb7b1f1f18f8d27241e1c7172efe9da9f438bfa67 | MATLAB | 529 | 20 | function [had_mat,row_i,col_j]= hadamard_matrix(M,rads)
had_mat=hadamard(M);
diffs=diff(had_mat);
diffs=sum(abs(diffs),1);
[~,is]=sort(diffs);
had_mat=had_mat(is,:);
num_rads = length(rads);
row_i = [];
col_j = [];
for i_rad=1:num_rads
this_rad = min(rads(i_rad),M);
[X,Y] = meshgrid(0:this_rad-1);
[~,r] = c... |
99b62d2947647d762812b2f9a5eeb9da4bbbf288a8e6bae3de645a2d275fed63 | MATLAB | 529 | 19 | %
% Please cite this paper if you use any component of this software:
% S. Soltanian-Zadeh, K. Sahingur, S. Blau, Y. Gong, and S. Farsiu, "Fast
% and robust active neuron segmentation in two-photon calcium imaging using
% spatio-temporal deep learning," Submitted to PNAS.
%
% Released under a GPL v2 license.
functio... |
c1a0407e47485b0f5a55a0ff738079d62dd675dc741603492f2cfccd85d20d21 | MATLAB | 529 | 18 | function SONSetFileComment(fh, which, comment)
% SONSETFILECOMMENT sets one of the five file comment fields
%
% SONSETFILECOMMENT(FH, WHICH, COMMENT)
% FH is the SON file handle
% WHICH selects the comment (0 - 4)
% COMMENT is a string
%
% No return value
%
% Author:Malcolm Lidierth
% Matlab S... |
b8fb39ca84e8b27c156c842831c5d1000f93cdac7d0eac99821e9e49270ae37a | MATLAB | 530 | 28 |
function dir_names=get_sub_dir_names(root_dir)
file_infos=dir(root_dir);
dir_names=[];
dir_dates=[];
for f_idx=1:length(file_infos)
one_f_info=file_infos(f_idx);
if one_f_info.isdir
dir_name=one_f_info.name;
if ~strcmp(dir_name(1), '.')
dir_names=cat(1, dir_names, {d... |
288ea41a2e5f3a0931aba99be0856876d9ac5dfdaabb6d54e606853213b15256 | MATLAB | 531 | 22 | function [distP,distG] = genomicAndPhysicalDist(data, jj, kk, ll)
if ~isempty(jj) & ~isempty(kk) & ~isempty(ll)
celljj_chrkk_clusterll = (data.cell == jj) & (data.hg38_chr == kk) & (data.cluster == ll);
data_jj_kk_ll = data(celljj_chrkk_clusterll,:);
else
data_jj_kk_ll = data;
end
distP = d... |
9a103978abd7f6a52a153ad8a9e3349fd027d594597a0adcdcd3d0b88dbac6a2 | MATLAB | 531 | 15 | function result = load_anonymous(file_name)
% Loads the unique variable in file_name, in a way that is transparent to the
% caller.
s = load(file_name, '-mat') ;
variable_names = fieldnames(s) ;
variable_count = length(variable_names) ;
if variable_count == 0 ,
error('File %s has no vari... |
b92b19473edda9828f2304bc2a1e62c022214f6658bb663d88b9797dd04d5860 | MATLAB | 531 | 13 | function [x_bin_inds] = ml_alg_chist_bin_inds(x_deg, center_bins_deg)
% The bins are assumed to be equally sized/spaced
% computed from ml_alg_chist_center_bins
dtheta_deg = median(diff(center_bins_deg));
right_bins_deg = center_bins_deg + dtheta_deg / 2.0;
% Get the bin indices of the head di... |
ddf3da872de76dcb45a004c1d5519fa672288575c8a0744e146d2d06d1939fa0 | MATLAB | 531 | 21 | function [lDivide]=SONChanDivide(fh, chan)
% SONCHANDIVIDE returns the clock ticks per ADC value from the specified
% channel
% LDIVIDE=SONCHANDIVIDE(FH, CHAN)
% FH SON file handle
% CHAN Channel number
%
% See also SONGETUSPERTIME
%
% Author:Malcolm Lidi... |
f148e0c27652dfd1ba4e83ce331878fa3b8e51e4c23267af83a60bd7878f6960 | MATLAB | 531 | 20 | % mglEyelinkEDFPrintF.m
%
% $Id$
% usage: mglEyelinkEDFPrintF(message)
% by: eric dewitt & eli merriam
% date:
% purpose: send a message to the eyelink eyetracker to be stored in the edf data file
% mglEyelinkEDFPrintF(sprintf('trial %i', trialnum));
%
function [] = mglEyelink... |
35bcf734a3514712a1035d1a7727229d7bd6a8dec974040a7e761a32bd0d7f44 | MATLAB | 532 | 15 | function M = moving_maximum(A,k,use_absolute_max)
%calculates the moving max for A with sliding window k
k_half = floor(k/2);
M = zeros(size(A));
for i = 1:size(A,2)
if use_absolute_max
[M(:,i), max_indecies] = max(abs(A(max(i-k_half,1):min(i+k_half,size(A,2)))),[],2);
signs = s... |
636a07fd2cc19c4ea0731bc8d598450dabf3d503fb913eda50128767ee62ce55 | MATLAB | 532 | 20 | ROpos = Device.qPOS('x y z');
steps = linspace(-4,4,91);
xdata = nan(length(steps),1);
ddata = nan(length(steps),1);
for i = 1:length(steps)
Device.MOV('x',ROpos(1)+steps(i));
Device.WAIT()
Device.DRC(1,'x',2);
Device.DRC(4,'1',17);
Device.DRT ( 2, 1, '0' );
Device.DRT ( 2, 4, '0' );
pause(1... |
f900b8f932a4ea138f4a6b40b46986d21be822cd9210ac59e4b287c9df6d511f | MATLAB | 532 | 16 | function names = fieldnames(this)
% Fieldnames method for GIfTI objects
% FORMAT names = fieldnames(this)
% this - GIfTI object
% names - field names
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: f... |
30fdd9bb767285932cafb279bd4f89db4c7c7029e4c440f11cfe36b229bc96e0 | MATLAB | 533 | 16 | % mglGetKeys.m
%
% $Id$
% usage: mglGetKeys()
% by: justin gardner
% date: 09/12/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: returns the status of the keyboard (regardless
% of whether the focuse is on the mgl window)
% if... |
7302312325e29bc9d090c622ab54d513b4953fe2f5e1ddd2bee6b88336631a6a | MATLAB | 533 | 14 | function string=SONGetFileComment(fh, n)
% SONGETFILECOMMENT returns the file comment
%
% STRING=SONGETFILE(FH, N)
% where FH is the file handle and N is the comment number (0-4);
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
% Modified 26.07.09 to preve... |
5d473a66ba3b282d5c041b4b85aee70a9b31cfed790c48d97b6f6bbdc691e7c5 | MATLAB | 534 | 25 | function lab= convertLab(lab,nlab)
for i=1:nlab
ilab=lab(i,:);
if iscell(ilab)
ilab=ilab{:};
end
ilab(ilab=='_')=[];
ind= strfind(ilab,'VOL');
ilab(ind:ind+2)=[];
ind= strfind(ilab,'norm');
ilab(ind:ind+3)=[];
ind= strfind(ilab,'DMN');
ilab(ind:ind+2)=[];
ind= s... |
7029717c0099cb191cedae29723e49ce2cca817b6f5df1238871532569e22ae1 | MATLAB | 534 | 30 | %
% Compute preferential attachment prediction.
%
% PARAMETERS
% a Adjacency/biadjacency matrix
% at (e*2) Vertex pairs for which to compute predictions
% format
% weights
%
% RESULT
% predictions Struct by submethod name of (e*1) Predictions
%
function [predictions] = prediction_local_compute_pref(a, at, format, we... |
fb41dcfa8169784daae70d126ee16254261eab947291af1606adc5ec65ace6d2 | MATLAB | 534 | 13 | function result = get_maximum_core_count()
% Like feature('numcores'), but gives the right answer on an LSF worker
% node.
LSF_core_count_as_string_maybe = getenv('LSB_MAX_NUM_PROCESSORS') ;
if isempty(LSF_core_count_as_string_maybe) ,
physical_core_count = feature('numcores') ;
resu... |
0b6ef3fafb0029ce72fdcd5ebc2484140d2781f10007586346607e38fddeb9ec | MATLAB | 535 | 13 | function CoD = computeCoD(data,prediction)
% Function to compute coefficient of determination (also known are R2)
% We define CoD as the RESIDUAL sum of squares / TOTAL sum of squares.
%
% One could also use the ordinary R2 (which does not care about predicting
% the mean correctly):
% defined as 1 - (var(data - pre... |
f66412f71fed11332e1a9cc2c318c2ebcfe155aace55a650400c98718d0b45d5 | MATLAB | 535 | 23 | %
% Estimate a power law when only the largest values are known.
%
% Don't use this for degrees. For degrees, not all values are necessarily known and power_law_*() should be used.
%
% PARAMETERS
% values Values. Nonpositive values are ignored.
%
% RESULT
% alpha Negative slope, .a.k.a. the power law exponent
... |
cb6b4fefdd76be0b9f3df47b4b351a3f6d2f703167060b746e60da42a4e056e0 | MATLAB | 536 | 18 | function txt = ternary_datatip(~,event_obj,Zdata,wlimits)
%surf_data_cursor CustomDataTip for Surf Ternary Plot
%
% Get the Index of the point
I = get(event_obj, 'DataIndex');
% Get Coordinates
pos = get(event_obj,'Position');
[A,B,C] = cart2tern( pos(1),pos(2),wlimits );
% Get a... |
cbb6590abdd2a7e4a6aedc9ffd0ccecba179815dcc550e6f36016e815a9ae8e1 | MATLAB | 537 | 20 | function tsim = textonsim(fb,tex)
% function tsim = textonsim(fb,tex)
%
% Compute texton dis-similarity matrix. The dis-similarity between
% two textons is given by their L1 difference run through an
% exponential.
%
% David R. Martin <dmartin@eecs.berkeley.edu>
% April 2003
tim = visTextons(tex,fb);
ntex = ... |
fd2223ee718186972d751c62c8efef0303140533f42076203e838c49c3bc7417 | MATLAB | 537 | 18 | % SONAPPID sets or gets the creator lable from a SON file
%
% Implemented through SONAppID.dll
%
% LABLE=SONAPPID(FH)
% returns the creator lable
% LABLE2=SONAPPID(FH, LABLE2)
% sets the lable to LABLE2 then reads it back to LABLE1
%
% FH is the SON file handle
% LABLE, LABLE1... |
111486414d7c89810c201ed6f4b7b32df0a8026ff3e7586e059f815ee8b62485 | MATLAB | 538 | 20 | function [width,pl,pr] = widthestimate(vector,fraction)
%calculates fwhm if fraction is 0.5, fw 1/e for 1/e, etc., uses linear
%interpolation
if nargin<2
fraction = 0.5;
end
vector = vector/max(vector(:));
greater = vector>fraction;
flip = find(diff(greater));
s1 = (vector(flip(1)+1)-fraction)/(vector(flip(1)+1)-ve... |
dc0e61d6ba845eac23285c8853ef09b03d8cdecdb93cc03f1d6ab6880edcac72 | MATLAB | 539 | 18 |
function reducedA = getActiveAdj(active, adjmat, Ncell)
%get adjmat of only the active elements
% for i = 1:length(active)
% pix = active(i);
% neighbours = find(adjmat(pix, :) == 1);
% activeNeighs = intersect(active, neighbours);
% [~,idx] = intersect(active,activeNeighs,'stable');
% re... |
150aa24a69f88a8d6f706db3a08133a5394e28faebe7b818b51c2b25f77e5db6 | MATLAB | 540 | 30 | function [err,msg] = vl_demo_cmd(name, args)
% DEMO_CMD: Demo: Command line utility
ext = '' ;
switch mexext
case 'mexmac'
arch = 'mac' ;
case 'mexmaci'
arch = 'maci' ;
case 'mexmaci64'
arch = 'maci64';
case 'mexglx'
arch = 'glnx86' ;
case 'mexa64'
arch = 'glnxa64' ;
case 'dll'
arch = 'win32' ;
ext = '.e... |
2328feb2a7ee4bdc5d281dfd9224de3b78c68cdfa8f1d8f7c0fc29f3a7f702ca | MATLAB | 540 | 16 | function [xlim,ylim] = match_aspect_ratio(xlim,ylim,handles)
% zoom in on a set of limits as much as possible without changing aspect ratio
% splintered from fixerrorsgui 6/21/12 JAB
aspectratiocurr = diff(xlim)/diff(ylim);
if aspectratiocurr < handles.mainaxesaspectratio,
% make x limits bigger to match
xmu = mea... |
8a8cbd9ad5e66eb2256b75a8517378d06db0df4886718b84d2e21555007e9730 | MATLAB | 540 | 19 | curdataset=1;
%%
expdata(curdataset).tag=[mouse,':',date];
expdata(curdataset).identities=identities;
expdata(curdataset).all_centroids=centroids;
expdata(curdataset).sumds=sumds;
expdata(curdataset).all_silhouettes=all_silhouettes;
expdata(curdataset).mean_silhouettes=mean_silhouettes;
expdata(curdataset).combinati... |
dd73905cf2a53875ed39d8037cf6c167556ef136bfb978c0530f3f033603e60b | MATLAB | 540 | 23 | function [vari_mean,vari_err] = semErr(vari, dim_1)
%exludes NANs
%previous version uploaded to Zenodo in error
% Get the size of the input data
dataSize = size(vari);
% Initialize arrays to store the standard deviation and count of non-NaN elements
stdDev = nanstd(vari, 0, dim_1); % Standard deviation exc... |
0b37aa5461454bedaa56d047f1bc3acb84c7326d095fa8b3bc1414584f3cd531 | MATLAB | 541 | 23 | function [ video ] = ml_cai_io_behavreadavi( behavFilename )
o = VideoReader( behavFilename );
vidWidth = o.Width;
vidHeight = o.Height;
mov = struct('cdata', zeros(vidHeight, vidWidth,3,'uint8'), 'colormap', []);
k = 0;
while hasFrame(o)
k = k + 1;
mov(k).cdata = readFrame(o);
end
if k == 0
error('No fram... |
55cd107384b5bbd9c04ac06406277781675e14085e340a262f67a04c6ee4a0ab | MATLAB | 541 | 15 | function checkDataIntegrity( obj, session, trial )
trialFolder = trial.getTrialDirectory();
status = ml_cai_miniscope_recording_status( trialFolder );
if status.isValid
fprintf('No problems detected.\n')
else
fprintf('Integrity is compromised!\n');
if ~status.settingsAndNotes.isV... |
5d272b1b5de7d2165f5398aeaacc28c8c5af13dc34a552be29a468a72ed158c6 | MATLAB | 541 | 15 | function kind=SONChanKind(fh, chan)
% SONCHANKIND Returns the channel type
% KIND=SONCHANKIND(FH, CHAN) where FH is the file handle
% CHAN is the channel number (0 to
% SONMAXCHANS-1)
% Returns kind as an enumerated string - see CED documentation fo... |
e4cad0c4b67b3b8db9d6010e693ad552619e169caedff9bf352f1138d60a81a6 | MATLAB | 541 | 26 | function t = fieldnames(obj)
% Fieldnames of a NIFTI-1 object
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: fieldnames.m 8776 2013-11-14 09:04:48Z roboos $
if isfield(obj.hdr,'magic')
t = {...
'dat'
'... |
a74d0b2ed7ceaff053a47c6bd424f86247810f5e591c1b92dcab10a34882b0c2 | MATLAB | 542 | 20 | function T=transitivity_wu(W)
%TRANSITIVITY_WU Transitivity
%
% T = transitivity_wu(W);
%
% Transitivity is the ratio of 'triangles to triplets' in the network.
% (A classical version of the clustering coefficient).
%
% Input: W weighted undirected connection matrix
%
% Output: T trans... |
192e15b17c525211ae22dbefa2e25bef625825fab9cb9dbe41cbfd9dfaf6a3af | MATLAB | 543 | 18 | % Define contribution of each node to correlation between EEG and fMRI
% Formula 13 from Colcough 2016 NeuroImage
%
% Jonathan Wirsich 22-11-2019
function contrib_vec = getSpatialContribution(meanVec1, meanVec2)
spatialMean1 = mean(meanVec1);
spatialMean2 = mean(meanVec2);
denominator = sqrt(sum((meanVec... |
712246911542447d07b169139a3412f448897f1b7a86a4bd2327ca2a4306e19d | MATLAB | 543 | 13 | figure();
plot(timeax,r_cond1,'Color','#0072BD');
hold on
plot(timeax,r_cond2,'Color','#D95319');
plot(timeax,r_cond3,'Color','#EDB120');
plot(timeax,r_cond4,'Color','#7E2F8E');
plot(timeax,r_cond5,'Color','#77AC30');
xlim([0 2000]);
% axis([0 2000 0 0.2]);
title("\Delta_{E} = " + nu... |
e25a82ba19d7545c19cff29929a9212861b9ee4c666b3f13b79958a2810ed379 | MATLAB | 543 | 17 | %% Author: Jiri van Bergen
% Affiliation: Radiology @ JHU - Kirby Center
% Contact via xuli@mri.jhu.edu
% IF USER PRESSES THE X BUTTON
% ALL THE STOPPING STUFF
if(hasCanceled)
% Close it all
multiWaitbar('CloseAll');
% Enable buttons
set([handles.ButtonEditEchoes handles.VarFSLThres... |
30acc35c73c2809e03125755723c405d169217f9eb499b2fb855cf83bcf2cf3d | MATLAB | 544 | 19 | function activate_func(SC,f,mat_flag,py_flag,flag_nearest)
%activate f on SLMs, depending on the flags
if(~exist('mat_flag','var'))
mat_flag=1;
end
if(~exist('py_flag','var'))
py_flag=1;
end
if(~exist('flag_nearest','var'))
flag_nearest=0;
end
f_mat=rot90(f,2); %to align correctly
f_py... |
6b6b4b2af2bd4fc141daacdd9de1d36bdbad0c80feb4c467225c70183f63da65 | MATLAB | 544 | 25 | function btab = btabgen(gdir,bval,t,root)
Nt = size(t,1);
Nb = numel(bval);
Ng = size(gdir,1);
btab = [];
for i = 1:Nt
ti = t(i,:);
btab = cat(1,btab,[0 0 0 0 ti]);
for j = 1:Nb
bj = bval(j);
% gvalj = sqrt(bj/ti(2)^2/(ti(1)-ti(2)/3));
for k = 1:Ng
gdirk = gdir(k,:);
... |
3f79b276185cc363794f7008651be89375b08ec7b2591c8f4dc3dc1446540169 | MATLAB | 545 | 19 | % f_GetHFOIntervals.m [As a part of HFO Detection Project]
% Written by:
% Miguel G. Navarrete Mejia
% Electrical Engineering MS candidate
% UNIVERSIDAD DE LOS ANDES
% Colombia, 2012
% mnavarretem@gmail.com
function v_Intervals = f_GetHFOIntervals(pstr_SignalPath,ps_SignalIdx,pm_Lims)
load(pstr_SignalPa... |
583d18d776bf191cc4a95bb9f9a3d5b249185caea26b03104f754a5e1f48d24d | MATLAB | 545 | 15 | % mglFlush.m
%
% $Id$
% usage: mglFlush()
% by: justin gardner; X support by Jonas Larsson
% date: 04/10/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: swap front and back buffer (waits for one frame tick)
%
% Warning: if using mglFlush to keep t... |
cc2d2a43fdf171e0b6464b1160d140536dd3eadcaf63a88e3c1d9179cc2e2da0 | MATLAB | 545 | 24 | %% Set up
clear;clc; close all; fclose('all');
expmtDataFolder = 'D:\My Drive\Expmt Data\Max\Climbing Fiber Project\Initial Data for testing';
Files = dir([expmtDataFolder '\**\*']);
%% Filters
Files(~contains({Files.name}, {'behavior.mat'})) = [];
for i = 1:length(Files)
filename = fullfile(Files(i).folde... |
261c8fa623c5c1ed9ded8a5594bd35f08e0e7a4ca87164ff43c65eb8a6e79244 | MATLAB | 546 | 26 |
function class_info=gen_class_info_sunrgbd()
class_info=[];
class_names=load('./sunrgbd_class_names.mat');
class_names=class_names.seg37list;
class_num_org=length(class_names);
class_names = cat(1, {'void'}, class_names');
class_info.class_names=class_names;
class_label_values=uint8([0 1:class_num_org]);
class_... |
7e2a1ec12b7753c80dd62bdd553506d764be6f6b9ef4f45713222dcc919369a3 | MATLAB | 546 | 15 | function [report_data] = report_objective(report_data, state)
%
% 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/.
% $Id: report_objective.m 8776 2013-11-14 09:04... |
8c696d8d634c439f956e1f26052702a3322a26b734d6263bad3c37f3e6cfdb1a | MATLAB | 546 | 15 | function x = fill_binary_holes(x, hole_size)
%this function removes all holes (ex [1 0 1] and [0 1 0]) up to hole_size
for current_hole_size = 1:hole_size
pattern = [1, zeros(1,current_hole_size), 1];
idx = strfind(x,pattern);
if ~isempty(idx)
x(bsxfun(@plus,idx,(0:current_hol... |
980779051f66b5d63d43ff6dcabbe27183589866a20f8ec8b3fe39ad6b291548 | MATLAB | 546 | 14 | function string=SONGetFileComment(fh, n)
% SONGETFILECOMMENT returns the file comment
%
% STRING=SONGETFILE(FH, N)
% where FH is the file handle and N is the comment number (0-4);
%
% Author:Malcolm Lidierth
% Matlab SON library:
% Copyright © The Author & King's College London 2005-2006
% Modified 26.07.0... |
bff22db93691dc352c112d78221e46dfa34abb1e2896293631167bb0f4608f25 | MATLAB | 546 | 22 | % pDataDir.m
%
% Function that returns the full path to the pData directory.
%
% INPUTS:
% none
%
% OUTPUTS:
% pdDir - full path to pData directory
%
% CREATED:
% 9/8/20 - HHY
%
% UPDATED:
% 9/8/20 - HHY
%
function pdDir = pDataDir()
% pdDir = '/Users/hyang/Dropbox (HMS)/EphysAnalysis-Helen/pData';
% pd... |
dbb3b11056f817a36e53026a3811be7fbf266383aff61f12fc322c06760c9b25 | MATLAB | 546 | 22 | function[allMarkers] = combineMarkers (file1,file2,file3);
%%
% file: combineMarkers.m
% purpose: combine vglut1, vglut2 and gad information from a dendrite into
% one matrix
load(file1);
first = synMat;
load(file2);
second = synMat;
if (exist('file3', 'var'))==0;
allMarkers = [first; second];
elsei... |
39ec6b00da51280b12f19d0842e61bb8e3b6bc08800b2605e21a1c8ab4cf5e5e | MATLAB | 547 | 18 | function SONSetFileComment(fh, which, comment)
% SONSETFILECOMMENT sets one of the five file comment fields
%
% SONSETFILECOMMENT(FH, WHICH, COMMENT)
% FH is the SON file handle
% WHICH selects the comment (0 - 4)
% COMMENT is a string
%
% No return value
%
% Author:Malcolm Lidierth
... |
13ae934fc2bf100573b4114e00ba3c64ff64e218c8b337a6a989c66aad086e6b | MATLAB | 548 | 17 | function [Coil_arr] = Coil_pos_array(lx,ly)
xu = [1 0 0];yu = [0 1 0];zu = [0 0 1];
r_s = 0.095;a = ly + 2; b = lx - 2;
XY = [-a a;-a b;-a -b;-a -a;-b a; -b b;-b -b;-b -a;b a;b b;b -b;b -a;a a;a b;a -b;a -a]*1e-2;
Z = sqrt(r_s^2-sum((XY.^2),2));
MovXYZ(:,1:2) = XY;
MovXYZ(:,3) = Z;
for i = 1:16
ang= [atan2(norm(cros... |
b1f55259092e20e2ac29e31aac1f741203e37e285cde33fc69f4686dda071067 | MATLAB | 548 | 21 | function input_info=my_init_input_info(input_info)
if input_info.is_group_data
input_info_child_groups=input_info.data_child_groups;
child_num=length(input_info_child_groups);
for c_idx=1:child_num
input_info_child_groups{c_idx}=my_init_input_info(input_info_child_groups{c_idx});
end
input_info.d... |
2ccab591b6be2ce095ea6bd244ccf46d481f6984b23f52b8c9cc03d8e9ae9060 | MATLAB | 549 | 19 | function handles = fix_RemoveBirthEvent(handles,fly)
% removes a birth event for a fly
% splintered from fixerrorsgui 6/21/12 JAB (as a no-op)
%if handles.trx(fly).firstframe > 1,
% for i = 1:length(handles.seqs)
% if strcmpi(handles.seqs(i).type,'birth'),
% if fly ~= handles.seqs(i).flies,
% continue;... |
328d67d67d8c27afed7b8b009ee75969c87c9fe742a4db9d1e8a70f357924d36 | MATLAB | 549 | 21 | function [results] = SNR_ERP(ALLEEG,event)
id = {}; base = []; peak = [];
for n=1:length(ALLEEG)
EEG = ALLEEG(n);
epochnums = find([EEG.event.type]==event);
for epochn=1:length(epochnums)
thisepoch = EEG.data(:,:,epochn);
% calc SNR as peak(ERP)/std(baseline)
id{length(id)+1} = EE... |
70c2e917ed8204cf3c9a7d682188634180d1987a4245905f08104f77fd29115d | MATLAB | 549 | 23 | function results = vl_test_phow(varargin)
% VL_TEST_PHOPW
vl_test_init ;
function s = setup()
s.I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
s.I = single(s.I) ;
function test_gray(s)
[f,d] = vl_phow(s.I, 'color', 'gray') ;
assert(size(d,1) == 128) ;
function test_rgb(s)
[f,d] = vl_phow(s.I, 'color',... |
792139aa4b5c8ecbd9d672c85f01d37e66f776f99fca17d9d7c695e759194590 | MATLAB | 549 | 16 | function tree = setfilename(tree,filename)
% XMLTREE/SETFILENAME Set filename method
% FORMAT tree = setfilename(tree,filename)
%
% tree - XMLTree object
% filename - XML filename
%__________________________________________________________________________
%
% Set the filename linked to the XML tree as filename.
%_... |
e202919809f0794b20562bdf4db5119aad3af17b9512dd33b1142ab7d51f0524 | MATLAB | 549 | 12 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [jointEntropy] = ml_alg_joint_entropy_images(Ia, Ib)
% Ia and Ib must be discrete valued
indrow = double(Ia(:)) + 1;
indcol = double(Ib(:)) + 1; %// Should be the same size as indrow
jointHistogram = accumar... |
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