sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
87044bd57e7b4f9a797b6152886285f6922749e218449c466675833bb9112baa | MATLAB | 573 | 17 | function keyDown = checkkeydown(params, whichkey)
% WAITFORKEY - this functions waits for a key press of a specific key indicated by the
% keynumber in whichkey
% Code: F.Petzschner 19. April 2017
% Last change: F.Petzschner 19. April 2017
keyDown = 0;
if params.keyboard == 0
% wait for response box key
clearse... |
954ab5a0019c1f0e5d2f2d1440bff8d8f99e44f561fc7f904de1b23dea577838 | MATLAB | 573 | 24 | function [sstate, si] = tapas_sem_hier_get_stored_state(data, model, ...
inference, state)
%% Get the state that should be stored
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
sstate = struct('graph', {cell(4, 1)}, 'llh', {cell(4, 1)}, 'v', []);
order = state.graph{2}.u.temperature_ordering;
sstate.graph{2}... |
e6675125fa4725e30e95cbf852f9bb2c1509a390d88e93ab3f1a0f3d8d388474 | MATLAB | 573 | 12 | function pstruct = tapas_unitsq_sgm_mu3_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2018 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence ... |
ad9f7f580f5f447b5304e88b25e92fd5b2b9df75515c0485707a4a46fca9208e | MATLAB | 574 | 27 | %A partir del S_index vectorizado compara todos los renglones para
%determinar cuales son diferentes. El numero de renglones diferentes
%constituye el numero total de estados de la red.
function [Edos_vector]=Nedos(S_index)
N=size(Y,2); %Número de picos
j=1;
for i=1:(N-1)
Ya=Y(:,i);
Yb=Y(:,i+1);
Yab=... |
0285b12f5ca73cf3cd86c792363ff77a67e761c956f1a7ba44e641943a3a13e9 | MATLAB | 575 | 27 | function [ output_args ] = cross_evaluation( f , X , Y )
%CROSS_EVALUATION( f , X , Y ) Returns the matrix f(x,y) for x in X and y
%in Y.
%
% INPUT:
% f [function handle]: two-argument function
% X [1x? cell]: data points
% Y [1x? cell]: data points, =X if not explicitly given
%
%
% === Jan Moelter, The Unive... |
13323cb3038fbc167a98fb46ec0191ef78fc7f9b89dbfee43503752cd89c14d0 | MATLAB | 575 | 12 | function b=sero_pulseq_calculateBval(g, delta, DELTA)
% see DAVY SINNAEVE Concepts in Magnetic Resonance Part A, Vol. 40A(2) 39–65 (2012) DOI 10.1002/cmr.a
% b = gamma^2 g^2 delta^2 sigma^2 (DELTA + 2 (kappa - lambda) delta)
% in pulseq we don't need gamma as our gradinets are Hz/m
% however, we do need 2pi as diffusi... |
321b31f09de734ec4333e6200fda3eed3e48fba79d42bc13282f63f4d41e6160 | MATLAB | 575 | 26 | function sh_TimeTracePlot(Mx,Fs)
Mx=sh_Standardize(Mx);
name={'Green','Red','Voltage'};
fig=figure('defaultAxesFontSize',18);
tps=0:1/Fs:(size(Mx,1)-1)/Fs;
subplot(4,1,1)
plot(tps(1:60*Fs),Mx(1:60*Fs,1:2))
legend(name(1:2))
subplot(4,1,2)
plot(tps(1:2*Fs),Mx(1:2*Fs,3),'k')
legend(name(3))
last=floor(length(tps)/Fs)*... |
8c2462853916758d6d1b69e60c131e7fda5963c158b719930c99d2d7df27165c | MATLAB | 575 | 14 | function make_yyplot( ActualY, EstimatedY, YMax, YMin, EstimatedYName, ActualYName,i )
%MAKE_YYPLOT Make plot of Actual Y vs. Estimated Y
subplot(2,1,i)
plot( [YMin-(YMax-YMin)*0.05 YMax+(YMax-YMin)*0.05], [YMin-(YMax-YMin)*0.05 YMax+(YMax-YMin)*0.05], 'r','linewidth',2 ); hold on;
plot( ActualY, EstimatedY, 'b.'... |
fa6cacc72a08a3949ab88d0ec80c6f44c70680d328b7b287235f6994cf99da46 | MATLAB | 575 | 25 | function RDMs=concatRDMs(varargin)
% concatenates representational dissimilarity matrices and returns the
% concatenated RDMs in a wrapped structure.
%__________________________________________________________________________
% Copyright (C) 2009 Medical Research Council
import rsa.*
import rsa.fig.*
import rsa.fmri.*... |
08513436a8ec02a74ce14a4b48489739a5ef8a263c0508e13019c960b57e7b2f | MATLAB | 576 | 28 | function test_suite = test_expDesign %#ok<*STOUT>
% (C) Copyright 2021 CPP visual motion localizer developers
try % assignment of 'localfunctions' is necessary in Matlab >= 2016
test_functions = localfunctions(); %#ok<*NASGU>
catch % no problem; early Matlab versions can use initTestSuite fine
e... |
3d8c4ba11ed236d7966d65d61c7ef9a44931e886195006987db73b8b0e45d5d0 | MATLAB | 576 | 31 | function [val_norm]=getBloodVesselTimeProfile(movie)
nFrame=size(movie,3);
if nFrame>10
f0=mean(movie(:,:,end-10:end),3);
else
f0=movie(:,:,1);
end
imshow(f0,[])
[cx,cy,~] =improfile;
xi=round([cx(1) cx(end)]);
yi=round([cy(1) cy(end)]);
[cx,~,~] =improfile(double(movie(:,:,1)),xi,yi,'bilinear');
c=zer... |
4ab35a095d00f0a341283794c20dcf5f15f47dd9437f34471bf3c708fe1289fe | MATLAB | 576 | 21 |
% this will deal with the params structs only, subject is not used
% intended as matlab include
% check the params struct
if (~exist('params','var') || isempty(params))
% check if the params are attached in the subject struct (this can be
% needed in compiled mode)
if (~exist('analysis_params.m','file'))
error(... |
67b33672c75a5f1c992320961c176c1441483948fac593fd33e0ea9c0839507d | MATLAB | 576 | 18 | function set_seed(seed)
% Get MATLAB release information
releaseInfo = matlabRelease();
releaseName = char(releaseInfo.Release);
% Extract the year and letter from the release name
releaseYear = str2double(releaseName(2:5));
releaseLetter = releaseName(6);
% Check if the release is... |
8d3f4af307926f5f7399d11529d90ae3fbd2d9ba05c1f7b541c7f073ada9cf56 | MATLAB | 576 | 33 | function [posterior] = tapas_linear_prepare_posterior(data, model, ...
inference, states)
%%
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
T = model.graph{1}.htheta.T;
posterior = struct('data', data, 'model', model, 'inference', inference, ...
'samples_theta', [], 'fe', []);
np = numel(states);
nc = n... |
adafd37f0b5439ba7666c4c01a43cbc81ca9bba9f621400f525672b5481a4699 | MATLAB | 576 | 28 | function [model] = tapas_vlinear_prepare_model(data, model, inference)
%%
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
% Number of regressors
nc = numel(model.graph{2}.htheta.T);
nb = size(data.u{1}, 2);
if ~isstruct(model.graph{4}.htheta.y)
model.graph{4}.htheta.y = struct();
end
if ~isfield(model.graph{... |
f6366244053656edcf55d7cb3d2589c22a673141d8d61fd1b77a23b823b07e3c | MATLAB | 576 | 27 | function [posterior] = tapas_sem_hier_estimate_interface(data, model, inference)
%%
%
% Input
%
% Output
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
% Verify input
tapas_validate_data(data);
tapas_validate_model(model);
tapas_validate_inference(inference);
[data] = tapas_sem_hier_prepare_data(... |
f78fb29eb282cb665c1c63747105e667b3f604c81343ddc2d1643c7c5d870482 | MATLAB | 576 | 19 | function [res]=prepareWaves(results100)
fwdB_L100 = squeeze(nanmean(nanmedian(results100.fwdBLeft,3),4));
fwdB_R100 = squeeze(nanmean(nanmedian(results100.fwdBRight,3),4));
bwdB_L100 = squeeze(nanmean(nanmedian(results100.bwdBLeft,3),4));
bwdB_R100 = squeeze(nanmean(nanmedian(results100.bwdBRight,... |
01df4e28f73e0ab16530c7eece1d97e2e8ecbdd02bb7e14d46e9f2785eccf46d | MATLAB | 577 | 26 | function [output]=sh_zscore(input,varargin)
% Check number of parameters
if (nargin > 3) || (mod(length(varargin),2) ~= 0)
error('Incorrect number of parameters');
end
% Compute normalization on the specified range
if nargin>1
switch varargin{1}
case 'range'
range= varargin{2};
... |
3f428deb1e71af0c2f5013f0045bab76b5df13aaf6cd06b64dfd2a7b2c920c6f | MATLAB | 577 | 22 | function varlist=check_matfile(varargin)
%
% HELP
% Checking a content of a mat file, by entering a keyboard environment within a function. So instead of loading and overwriting you will do it within a function scope, in a clean way.
% SYNTAX
%[varlist,summary]= check_matfile() - dialog
%[varlist,summary]= check_matfil... |
62f9c12c323aca572b153ddd0ec67914fddfe8727c32831de7ff620617a49074 | MATLAB | 577 | 20 | function stk = loadCorrectedStack(key)
xy = fetch1(stack.StackMotion & key,'motion_xy');
fprintf('Loading stack...');
reader = stack.getStackReader(key);
stk = reader(:, :, :, :, :);
nslices = reader.nslices;
nframes = reader.nframes;
nchannels = reader.nchannels;
fprintf('Aligning stack...');
for islice=1:nslices
... |
fa483cc174475007187ab04483046739de7fac9fc9755ff2896b80400c75e6f6 | MATLAB | 577 | 8 | %-----------------------------------------------------------------------
% Job saved on 18-Nov-2014 09:28:14 by cfg_util (rev $Rev: 6134 $)
% spm SPM - SPM12 (6225)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
matlabbatch{2}.spm.stats.fmri_est.spmmat(1) = cfg_... |
36205d091f83d936cabde1dbdeac0904deb37168a33f22a7d650944a53ad7fe6 | MATLAB | 578 | 26 | function rng_seed = get_rng_seed(options)
% GET_RNG_SEED - Get or generate random seed
%
% H1 Line: Obtain random seed for reproducibility
%
% Syntax:
% rng_seed = get_rng_seed(options)
%
% Description:
% Returns the random seed from options or generates a default one.
%
% Inputs:
% options - Options structure
%
... |
cfaa9e2f89541b48da03ff7eae7fdbdb8186e25169e077f25f6bf38f54ce45e9 | MATLAB | 578 | 24 | function [places,stimuli,place_stim] = get_place_and_stimuli(this_program)
% get what stimulus was in which the chamber(s)
% program name format: stimulus-location
% for three chamber task, stimulus1-location1_stimulus2-location2
%%
place_stim = strsplit(this_program,'_');
places = {};
stimuli = {};
for i = ... |
eac7ab7f24211b928d30f3c4fe508c46124dbb96c2ba2c61ac7b882027a20607 | MATLAB | 578 | 23 | function [sstate, si] = tapas_sem_multiv_get_stored_state(data, model, ...
inference, state)
%% Get the state that should be stored
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
sstate = struct('graph', {cell(4, 1)}, 'llh', {cell(4, 1)}, 'v', []);
order = state.graph{2}.u.temperature_ordering;
sstate.graph{2... |
9ff99126c34d8fec62cf06bfa4114e35847efc205b8a9ed809b5bd4c71ac369e | MATLAB | 579 | 13 | %{
tuning.CaKernel (lookup) # options for calcium response kinetics.
kernel : tinyint # calcium option number
---
transient_shape : enum('exp','onAlpha') # calcium transient shape
latency=0 : float # (s) assumed neural response latenc... |
de9f648678ed9b2cb5939284b884aee73ba42daa176cdd2612dbb3338066df3c | MATLAB | 579 | 24 | function Y=temporallySmoothTimeSpaceMatrix(Y,FWHM)
% Y=temporallySmoothTimeSpaceMatrix(Y,FWHM)
% temporally smooths the time-by-space matrix Y with a gaussian kernel of
% full width at half maximum FWHM
%__________________________________________________________________________
% Copyright (C) 2009 Medical Research Cou... |
ee64dd4adf371705eab62eaea49ea1c85e1dad151897741c9654fa92845f994e | MATLAB | 579 | 21 | %% sepia_print_edit_as_string(fid,str_pattern,action_handle)
%
% Input
% --------------
% fid : fid of the sepia config file
% str_pattern : string pattern to be printed after algorParam parameter
% action_handle : handle of the GUI popup
%
% Description: print GUI edit field value to sepia config file
%
% ... |
76e7f19f8698fef5035a484aeb0a7c8771e8fef217b596915e8ce310fef2c28f | MATLAB | 580 | 20 | r = experiment.Session * experiment.AutoProcessing & 'session_date>"2016-02"';
while true
while progress(preprocess.Prepare(), r)
parpopulate(preprocess.Prepare, r)
end
while progress(preprocess.Sync, r)
parpopulate(preprocess.Sync, r)
end
while progress(preprocess.Treadmill, r)
... |
2951bd300a2c0171985ff0f6116e6eb2171abad22e66a628e45c2ccadf7f5b90 | MATLAB | 581 | 26 | function LabelAxis(ha, xlbls, ylbls)
%Puts text labels on axis of graph
%example:
%figure(1); plot ([1 2], [4 5]);
%LabelAxis(gca,{'Low' 'Hi'}, {'four' 'five'})
if (~isempty(xlbls) & ~iscellstr(xlbls)),
fprintf(2,'Need array of cellstrings for x input');
end
if (~isempty(ylbls) & ~iscellstr(ylbls)),
fprintf(2,'N... |
8e9b06b78b693b6eb239ead7e10937e9fbf332e1c50f693f3bac9e620c4b78fe | MATLAB | 581 | 19 | function spikeAmps = getSpikeAmp(spikeWaveforms)
%GETSPIKEAMP Get spike amplitude from spikeData
% Detailed explanation goes here
numChannels = length(spikeWaveforms);
spikeAmps = cell(1, numChannels);
for channelIdx = 1:length(spikeWaveforms)
spikeAmps{channelIdx} = struct();
spikeDmethods = fieldnames(spi... |
cab14065d7138630131e2a2ac53a5146976e5612553fdee026b3b847becc5b3d | MATLAB | 581 | 14 | function y = tapas_boltzmann(x, beta)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2016 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence (GPL), version... |
16331afea4b42a14f336eea5dd037e8286bc2c58108ceee7aedcf5a18655fbd9 | MATLAB | 582 | 14 | %{
experiment.FOV (lookup) # field-of-view sizes for all lenses and magnifications
-> experiment.Rig
-> experiment.Lens
mag : decimal(5,2) # ScanImage zoom factor
fov_ts : datetime # fov measurement date and time
---
height : decimal(5,1) ... |
d5632541a519940cdb139d217e77405047befdebeb34ca1db607f4a10d33b156 | MATLAB | 582 | 29 | function result=samstr(data,result);
D = data.X;
x = result.proj.P;
[noc,dim]=size(D);
noc_x_1 = ones(noc, 1);
Mdist=[];
dim_x_1 = ones(dim,1);
for i = 1:noc,
xD = D(i,:);
Diff = D - xD(noc_x_1,:);
Mdist(:,i) = sqrt((Diff.^2)*dim_x_1);
end
e = 0; tot = 0;
for j = 2:noc,
d ... |
e17814a5aa002a2954429cbe75db5576e96f86c83a5c9e216d108221066dcfd2 | MATLAB | 583 | 16 | %{
# visual stimulus trial buffering
animal_id : int
session : smallint
scan_idx : smallint
trial_idx : int # trial index within sessions
---
condition_hash : char(20)
flip_times : longblob... |
16128acf85c222be1273238d14bc6f982d2b002269e4de47ec65c6571ce55caa | MATLAB | 584 | 27 | function [posterior] = tapas_sem_multiv_estimate_interface(data, model, inference)
%%
%
% Input
%
% Output
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
% Verify input
tapas_validate_data(data);
tapas_validate_model(model);
tapas_validate_inference(inference);
[data] = tapas_sem_multiv_prepare_d... |
8696535b8b9e7c1b6fa8d09545e5b86ec82e847cdf787f7439fd6381e927b227 | MATLAB | 584 | 27 | function str = createDWIHashnum(ten)
for k = 1:size(ten,3),
for j = 1:size(ten,3),
tr(k,j) = trace(ten(:,:,k)*ten(:,:,j)')/1000;
end;
end;
hashnum = log(1+histc(tr(:),-50:400:10000));
str = hash2Str(hashnum);
function str = hash2Str(hashnum)
X = 'qwertzuiopasdfghjklyxcvbnmQWER... |
c39428c660b13e2b54be198f0ac235a613c66c7e0aaf584c14cc0da43039a07d | MATLAB | 584 | 22 | function RDM=squareRDM(RDM)
% converts RDM to square form
%
% if they are in square form already they are vectorized
% using the lower triangle (matlab squareform convention) and resquared,
% thus fixing inconsistencies between upper and lower triangle (the lower
% is used).
%___________________________________________... |
e2e3856f4c215e11f0981816bb3efe0a885c36dd423297ebc48568f657a82161 | MATLAB | 584 | 42 | function [branch, hash] = tapas_get_tapas_revision(verbose)
%%
%
% Input
%
% Output
%
%
% aponteeduardo@gmail.com
% copyright (C) 2017
%
n = 0;
n = n + 1;
if nargin < n
verbose = 1;
end
% Get current location
f = mfilename('fullpath');
[tdir, ~, ~] = fileparts(f);
tdir = fullfile(tdir, '..');
try
[branch... |
0a3199b0c5581ca8dfdf1da5619b100a7dd7e2d513542d958f7ab058647839b0 | MATLAB | 585 | 28 | function [inference] = tapas_sem_hier_prepare_inference(data, model, inference)
%%
%
% Input
%
% Output
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
nc = size(model.graph{2}.htheta.T, 1);
ns = numel(data);
np = numel(model.graph{4}.htheta.y.mu);
%k = cell(ns, nc);
k = eye(np);
% Create a kernel... |
3a18f7675b91ca1a9c6f9dda49172395cb608736e8f9e7fab954996f30befbdb | MATLAB | 585 | 19 | function [m,dm] = meanConst(hyp, x)
% Constant mean function. The mean function is parameterized as:
%
% m(x) = c
%
% The hyperparameter is:
%
% hyp = [ c ]
%
% Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2016-04-15.
%
% See also meanFunctions.m.
if nargin<2, m = '1'; return; end % report ... |
6f6f0f633d653c6b8a6b7c6a8b7a3159cd7d4356e8ed8b2704a863cf2a53c8d1 | MATLAB | 585 | 22 | function indic = meta_fast_sphere_conv(xyzlist,xyzvox,r)
% indic = meta_fast_sphere_conv(xyzlist,xyzvox,r)
%
% convolution with a spherical filter
% output in indicator vector (vox x 1) for speed
% xyzlist is a list of voxel coords of in-mask voxels
% xyzvox is list of voxel coords for study (see meta_get_voxel_coords)... |
c2cfb848af95f922774a01e46feffe1dade0d9549438db5ac4a7119143e815bb | MATLAB | 585 | 27 | %close all
%clear all
path(path,'.\FUZZCLUST')
%loading the data set
data.X = Z(:,[1 2]);
%parameters
param.c=3; %Numero de estados
param.m=2;
param.e=1e-4;
param.vis=0;
param.val=3;
%normalization
data=clust_normalize(data,'range');
result = FCMclust(data,param);
param.c=result.data.f; %initializing with the resul... |
c538d8308931a79f518323aa83ff598716528ac74ad7130b8f3b1bd49147aff8 | MATLAB | 585 | 15 | function coordinates = ID2coordinates(ID, numRows, numCols)
%Converts the sensor ID representation to its coordinate representation on
%the CMOS chip
ID = ID - 1;
x = floor(ID/numRows)+1;
y = mod(ID,numRows)+1;
%x = floor(ID/numRows)+1;
%y = mod(ID,(floor(ID/numRows)*numRows));
%coordina... |
242a6ad00c46b18be3e19f07d02f0688c3add0298588a6f8088e34729aab9a53 | MATLAB | 586 | 26 | %% 400 EXAMPLES OF ASSEMBLY CONFIGURATIONS WITH 0 ASSEMBLIES IN A HONEYCOMB STRUCTURED TECTUM
% THERE ARE 40 CONFIGURATIONS WHICH ARE EMBEDDED IN TECTA OF INCREASING
% DEGREE v = 8 , ... 17
%
% THE ASSEMBLY CONFIGURATION IS LEFT EMPTY AS NULL-CONTROL
%
%
% === Jan Moelter, The University of Queensland, 2017 ========... |
54acb8e9f1baa03a101eb154371fb22b03942a2b11cd6c9fed8846ec40756d11 | MATLAB | 586 | 49 | function p = Rrank(R,tol)
%
% [err,] = Rrank.m ()
%
%Purpose:
%
%
%
%Input Parameters:
%
%
%
%Output Parameters:
% err : 0 No Problem
% : 1 Problems
%
%
%
%Key Terms:
%
%More Info :
%
%
%
%
% Author : Gang Chen
% Date : Tue Mar 23 16:31:43 EST 2004
% SSCC/NIMH/ National Institutes of Health, Beth... |
c7e3390609673385f5420ab2e86502e589b9c16ebd355581ebd7c72467952234 | MATLAB | 586 | 23 |
clc;
ROOT = input( 'ROOT = ' , 's' );
items = dir( [ ROOT ] );
items = transpose( items );
items = items( [ items.isdir ] & [ ~strcmp( { items.name } , '.' ) ] & [ ~strcmp( { items.name } , '..' ) ] );
items = items( shuffle_vector( 1:numel( items ) ) );
for I = items
if( exist( [ ROOT '/' I.name '/' I.n... |
1c6af49b410d7078b3e4ae4f3e02cd79066a7eec40a93e07c181d75b3dfed1f4 | MATLAB | 587 | 21 | % works after the run, to get a histogram of Ho values
% hard coded to work on i_density_rad15_step2.mat
load i_density_rad15_step2.mat
v = 4*pi*radius^3 / 3;
tmp = maxd.*v;
figure;hist(tmp,unique(tmp))
p = prctile(tmp,95);
tmp2 = tmp(tmp >= p);
hold on; h = hist(tmp2,unique(tmp2));
bar(unique(tmp2),h,'r')
for i = p... |
b59663c69af2197c2180e6aa39c463db6278477880a2574cdb8f52e1c0ecbd2b | MATLAB | 587 | 18 | function [rez] = merge_cluster(rez,cluster1,cluster2)
id = find(rez.st(:,end)==cluster2);
rez.st(id,end) = cluster1;
rez.Merge_cluster(cluster2,:) = [];
M_clust = length(unique(rez.st(:,end)));
for i=1:M_clust
spike_id = find(rez.st(:,end)==i);
rez.Merge_cluster{i,1} = unique(rez.st(spike_id,3));
rez.Merg... |
de99d5ce519fda65e983893bc8218d1a830158b4748beca71e8865ee478b0ac3 | MATLAB | 587 | 33 | function R = qGetR( Qrotation )
% qGetR: get a 3x3 rotation matrix
% R = qGetR( Qrotation )
% IN:
% Qrotation - quaternion describing rotation
%
% OUT:
% R - rotation matrix
%
% VERSION: 03.03.2012
w = Qrotation( 1 );
x = Qrotation( 2 );
y = Qrotation( 3 );
z = Qrotation( 4 );
Rxx = 1 - 2*(y^2 + z^2)... |
ed2c1461cadc39eaf91f8b7a94479c2f0e5884376d9ab310467764071b75173b | MATLAB | 587 | 19 | function Vol = spm_write_vol_gz(Hdr, data)
% FUNCTION Vol = spm_write_vol_gz(Hdr, data)
%
% A wrapper around spm_write_vol that writes and zips .nii files
[fpath, ~, Ext] = myfileparts(Hdr.fname);
Hdr = rmfield(Hdr, 'pinfo');
[~,~] = mkdir(fpath);
switch Ext
case '.nii.gz'
Hdr.fname =... |
3574e6d7af4a6c7ef639c47120b8b53743475ddd77ad7ac3fe1ef6e2a0e8fa85 | MATLAB | 588 | 13 | function def_circle_size = brain3D_getCircleSize(chnls_MNI_VAL, chVals_lims, circleSizeLims)
% for example, assume circleSizeLims = [5, 30]
% (c) Jiri, Sep22
%% (1) linearly scale to chVals_lims from [-30 to 30]
def_circle_size = linTransform(chnls_MNI_VAL(:,4), chVals_lims, [-circleSizeLims(2), circleSizeLims(2)]);
... |
636c9d042a5a6158d33d7e06906e8d006c9a371e4f4da4e7f56e94210b2b33bc | MATLAB | 588 | 22 | function [nms, contrastcounts] = meta_explore_field(DB, fieldname)
% [nms, contrastcounts] = meta_explore_field(DB, fieldname)
%
% Print a table of the peak and contrast counts for unique values of a
% field.
%
% e.g., [nms, contrastcounts] = meta_explore_field(DB, 'Valence')
labels = DB.(fieldname);
nms = unique(DB.... |
80c0a0903a54250f62591bd3c909723894fed563e16d7ce343f7314df72019b0 | MATLAB | 588 | 16 | %Compute the matrix representation of the cross product
%function [V,vShift] = essential_hat3(v)
%V is a [3x3xN] array of skew-symmetric matrices where each [3x3] block is
%the matrix representation of the cross product of one of the columns of v
%vShift is equal to permute(v,[1 3 2]).
function [V, vShift] = essential_... |
e9df2c16c1579b0a78817e24ecd8097e7e2a99838378bd9b3868f71495f4e845 | MATLAB | 588 | 18 | function candoit = canGetDirectionalDerivative(problem)
% Checks whether dir. derivatives can be computed for a problem structure.
%
% function candoit = canGetDirectionalDerivative(problem)
%
% Returns true if the directional derivatives of the cost function can be
% computed given the problem description, false othe... |
22219a481acd24b3518c564d950f336dedf021519016ed1d2be47b13a304bd30 | MATLAB | 589 | 22 | function [S] = rm_emptyField(S)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% rm_emptyField removes empty field in a given structure.
%
% Argument:
% S = Structure in which empty field will be removed.
%
% Output:
% S = Structure with no empty fields.
%
% Example:
% [S] = rm_... |
8d9b180b4286a66d1f4f255ccc203d97049a7567f19229e1b72d19a70c8c5a3f | MATLAB | 589 | 17 | function obj = elbo_obs(obj)
N = numel(obj.data); % Number of observations
D = prod(obj.lat); % Dimension of observed space
logL = obj.dot.logdet(); % Log-determinant of known precision
if ~isfinite(logL), logL = 0; end
obj.lbX = - N * D * log(2*pi) ...
+ N * logL ...... |
e49f6975bb0c9baaa787bc0d9b36c43b5dc886499c4adb0b025228e636078535 | MATLAB | 590 | 27 | function [sstate, si] = tapas_vlinear_get_stored_state(data, model, ...
inference, state)
%% Get the state that should be stored
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
sstate = struct('graph', {cell(4, 1)}, 'llh', {cell(4, 1)}, 'v', []);
sstate.graph{2} = state.graph{2}.y;
sstate.graph{3} = state.gra... |
abc6cea06e5ded3a7ae9650f0a344b8c3aed08d9dd5215c6f79775680f307cb0 | MATLAB | 591 | 29 | function [] = tapas_display_table(summaries, figname)
%% Display a figure with the summaries.
%
% Input
% summaries -- Table with the summaries.
% figname -- Optional. String with the name for the figure.
%
% Output
%
% aponteeduardo@gmail.com
% copyright (C) 2019
%
n = 1;
n = n + 1;
if nar... |
00568a1f0895c71242d0d59216a9cab1db348c07742adb407fa93e070a114b9d | MATLAB | 592 | 23 | function out = exponUtilityFunction(beta,x)
% function exponUtilityFunction(beta,x)
% From Smith & Krajbich JEP Gen 2018
lambda = beta(1);
try b = beta(2);
catch b = 0; end
% x is the difference in objective value between the 2 options to choose
% from
% Lambda is the steepness of the curve
% This function is actual... |
8a826ec706eaca089216f86885b1593fab201aea91ed65d72dddea08a46340a0 | MATLAB | 592 | 35 | %Dinamica de Poblaciones LC
function [Din_Pob]=DinamicP(S_Ras_active)
path(path,'.\AXIS')
DPb=S_Ras_active>0; %Hace 1's todos los valores mayores a cero
DPb=DPb*1;
%DPb=transpose(DPb); %Las células son lo importante
DPc=sum(DPb);
figure
plot(DPc);
DPb_Ren=SRasRen(DPb); %Solo tomo los picos diferentes
DPb=DPb_Ren;... |
ec31794c89d7efc52e50e48643aa446cdb2bda8090044aac9ee6ead95fd5aff1 | MATLAB | 592 | 28 | function [S,T,map,binaryMap]=getCellSTfilters(output)
% output the spatial and temporal filters of cleaned-up extract output
temp=full(output.spatial_weights);
temp=temp(:,:,output.cellID);
S=temp;
T=double(output.temporal_weights(:,output.cellID));
nUnits=min(size(T));
for i=1:nUnits
tempS(:,:,i)=rescale(S(:,:,i),0... |
3712de868fa8d93deb9ed94c2fd4686e7bb9aff94aeb014c5ba56d911ef3a333 | MATLAB | 593 | 16 | function imdb = cnn_imagenet_sync_labels(imdb, net)
% CNN_IMAGENET_SYNC_LABELS Match CNN and database labels
% A CNN NET and the image database IMDB may use a different label ordering.
% This function matches classes by name and reorder the labels
% in IMDB to match NET.
[~,perm] = ismember(imdb.classes.name... |
524f0e85d67e22db382794b3df5b9717cbcc0b442daf7d5fd0f708c82aa3e3ed | MATLAB | 593 | 29 | function [loF, hiF, n] = getBandWidthFilter(F)
% look-up table. Based on carrier frequency F [Hz], returns freq. band boundaries
% and order n for butterworth filter
% (c) Jiri, Jul12
assert(F >= 0);
if F < 1.5
loF = 2/3*F;
hiF = 4/3*F;
n = 2;
elseif F >=1.5 && F < 7 % 2 Hz bin
loF = F-1;
hiF ... |
614112d0666a4a5c45ceac1f0031464adb037590e8f9e946ac4d22a334c84f51 | MATLAB | 593 | 14 | function pstruct = tapas_condhalluc_obs3_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2020 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence... |
c45f66304e69615371daa974f1c057321c9315e80173f9f7128483dc005a53a5 | MATLAB | 593 | 19 | function inds = cVals2cInds(vals, clims, mapInds)
% enables multiple colormaps in 1 figure
% lin. scales 'vals' to 'clims' (values out of range in clims are mapped to their boundaries)
% lin. scales this result to mapInds
% returns indices of the colormap
% (c) Jiri, Feb12, Jan17
assert(clims(1) <= clims(2));
assert(... |
cfff82e93622bd821a903a7eaf32d3ed8d53bb000f4c250a7ce4d628e616ba53 | MATLAB | 593 | 13 | %{
# visual stimulus trial buffer control
twop_setup : varchar(256) # two photon setup name, e.g. 2P1
setup : varchar(256) # Setup name of behavior/stim computer, e.g. at-stim01
---
cmd : smallint # =0 ... |
d06ff7d26a01025da6394723c66bb2207d33700990d96b457c13837f17121f04 | MATLAB | 593 | 31 | function r = mtimes(p,q)
%TIMES this function multiplies the x, y, and z values of the structures that I use in
% the FVtool.
% reassign the scalar to new variable a and the struct to new variable b
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekh... |
eb1065aa54288075a519589965e4cee18f1af82e7af6205dfef7b8e00357662a | MATLAB | 593 | 14 | function pstruct = tapas_softmax_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence (G... |
ab59b3c9627ea623402df3b9f9ee96b28a8366a425499f6d3fadbf6e4f17c4b8 | MATLAB | 594 | 38 |
fname = '/home/ckirst/test_iDISCO_<Z,3>.tif';
dat = syntheticConfocalData();
dat = 5 * dat;
max(dat(:))
bd = 3;
dat(1:bd, :, :) = 0;
dat(end-bd:end, :, : ) = 0;
dat(:, 1:bd, :) = 0;
dat(:, end-bd:end, :) = 0;
dat(:, :, 1:bd) = 0;
dat(:, :, end-bd:end) = 0;
max(dat(:))
isize = size(dat);
g = 5 * [0.05, 0.01, 0... |
e8a48f71a01c6067161bee73ebfdc2bc2dbccecb5652c3ea8d30a5e443962259 | MATLAB | 594 | 26 | function [ibin] = circ_bini(x,nbin,pbin)
if nargin < 3
pbin = 1/nbin;
end
if nargin < 2
error('Missing input arguments!');
end
if ~isvector(x)
error('Wrong input size!');
end
quantbeg = mod(linspace(0-pbin/2,1-1/nbin-pbin/2,nbin),1);
quantend = mod(quantbeg+pbin,1);
xbinbeg = quantile(x(:),quantbeg);
... |
f7be7f15684ff00ae64a8b97e1293cba09832bd9260054d7811d0b97679d3b8b | MATLAB | 594 | 27 | function [f,csddm,mcorre]=crsd(x,Fs,w,ov)
%w:windows (ms)
%ov:overlap (%)
%x:signal n
%Fs=sampling frequency
%Xcorr:maximum of the cross-correlation
w=w/1000;
nw=w*Fs;
npf=1+floor((length(x)-nw)/((1-ov/100)*nw));
m=length(x(:,1)); % number of signals
ji=1;
jf=nw;
x=x-mean(x')';
for i=1:npf
npf-i
Xcorr=xcorr(x(... |
874584c06fe8b5144618f95b7d15edb00d203f32102c189a863888fcd640840a | MATLAB | 595 | 20 | function keyCode = waitforkey(params, whichkey)
% WAITFORKEY - this functions waits for a key press of a specific key indicated by the
% keynumber in whichkey
% Code: F.Petzschner 19. April 2017
% Last change: F.Petzschner 19. April 2017
if params.keyboard == 0
% wait for response box key
clearserialbytes(para... |
034bc8775095636de24dee70aad7b9c975f0eff719f473d87cd3b6df360be42e | MATLAB | 596 | 14 | function pstruct = tapas_unitsq_sgm_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence... |
3e69955482f37281bd79b12ed558dee6ceaaa89a8062444a28ee8648e6ebf5de | MATLAB | 596 | 45 | function [pars] = tapas_sem_multivar_pars(data, model, pars)
%%
%
% Input
%
% Output
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
if ~isfield(pars, 'T')
pars.T = ones(size(data, 1), 1) * linspace(0.1, 1, 8)' .^ 5;
end
if ~isfield(pars, 'ndiag')
pars.ndiag = 1000;
end
if ~isfield(pars, '... |
612a1a71f3b9f5bfd3e6f5c012e0ecc026a549eaadcc45b09a4d7854d4d39a6e | MATLAB | 596 | 15 | %% p = sepiatest.sepia_home()
%
% Description: returns the absolute path of the SEPIA repository root
% (the directory containing sepia.m/sepiaIO.m), derived from this file's
% own location (test/+sepiatest/sepia_home.m is two levels below repo
% root) rather than assuming any particular current directory.
%
function p... |
88264b3962a3ab58276230236e936ddbb789d5b6ecd6aecbacc462c6914c7ad7 | MATLAB | 596 | 21 | function varargout = covLINiso(varargin)
% Wrapper for Linear covariance function covLin.m.
%
% Linear covariance function with Automatic Relevance Determination (ARD). The
% covariance function is parameterized as:
%
% k(x,z) = x'*inv(P)*z
%
% where the P matrix is ell^2 times the unit matrix. The hyperparameters are... |
b45c4664eebdff685c66b8dade2cd5d503b2e34f50ba35c7a862842f5dbd2d2e | MATLAB | 596 | 14 | function pstruct = tapas_condhalluc_obs_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2016 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence ... |
c6aeb4ce2d0bcea7baf502a68411217cec11bec5d2fd325f230eff98da8a19d6 | MATLAB | 596 | 16 | function [event_onset_frames,event_offset_frames] = match_eventonset_offset(event_onset_frames,event_offset_frames)
fds = fields(event_onset_frames);
for f = 1:numel(fds)
fd = fds{f};
if ~isempty(event_offset_frames.(fd))
this_onsets = event_onset_frames.(fd);
this_offsets = event_offset_f... |
c8b2b9f69f20441885b430a12d7c175a308007cf3a29f45426ecd5f2e5902403 | MATLAB | 596 | 14 | function pstruct = tapas_beta_obs_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence (... |
e753d1599ec130264c1fd858704b5e0de9c95178b3ca1ca74fd3e698c67cdf86 | MATLAB | 596 | 19 | function ARTwarp_Assess_Net
[filename path] = uigetfile('*.mat');
eval (['cd ' path]);
eval(['load ' filename]);
spp = ['Locu'; 'Lole'; 'Lopy'; 'Losc']
error = 0;
for category = 1:NET.numCategories
tally = [0 0 0 0];
i = find([DATA.category] == category);
names = reshape([DATA(i).name], 21, length(i))';
... |
05110a2bab551275210dcf1cc5dfc7b79b48a7863185c6265403c39c7762b6bc | MATLAB | 598 | 27 | %=========================================================
%
%This is a prog in the MutualInfo 0.9 package written by
% Hanchuan Peng.
%
%Disclaimer: The author of program is Hanchuan Peng
% at <penghanchuan@yahoo.com> and <phc@cbmv.jhu.edu>.
%
%The CopyRight is reserved by the author.
%
%Last modification: April... |
0dade6ac0aeceff1b96a646f4c5fa4bd329c39f61acec1462aec53e8371822e7 | MATLAB | 598 | 24 | function [r_new_u,r_new_v]=RotateCoordinateSystem(up,vp,nf)
%{Summary: RotateCoordinateSystem performs the rotation of the vectors up and vp
%to the plane defined by nf
%INPUT:
%up,vp- vectors to be rotated (vertex coordinate system)
%nf - face normal
%OUTPUT:
%r_new_u,r_new_v - rotated coordinate system
%}
r_... |
4fd94deddd92cb9d2fbc1d3890efc1df744a1d7dcdca3fc34ca6758d09b3d5ab | MATLAB | 598 | 26 | function S = pad_strn (strg,padchar,n,loc)
% S = PAD_STRN (strg,padchar,n,loc)
%This function pad the string 'strg' with 'padchar' characters
% such that 'S' is 'n' characters long.
% if loc = 1 the 'padchar' are added to the left of 'strg'
% if loc = -1 the 'padchar' are added to the right of 'strg'
if (~ischar(str... |
a06308b5adae2d382e55bd98182def087aba601984c6c68af56e18cb60f19bec | MATLAB | 598 | 13 | function [pvec, pstruct] = tapas_softmax_mu3_transp(r, ptrans)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2017 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public... |
1723c699088717710c0cee3dce5fa29b915061eaccef92700c3989cb54fc1eb2 | MATLAB | 599 | 26 | function h = plot_edges(edges, vertex, color)
% plot_edges - plot a list of edges
%
% h = plot_edges(edges, vertex, color);
%
% Copyright (c) 2004 Gabriel PeyrŽ
if nargin<3
str = 'b';
end
if size(vertex,1)>size(vertex,2)
vertex = vertex';
end
x = [ vertex(1,edges(1,:)); vertex(1,edges(2,:)) ];
y = [ ver... |
f210789aa5d8e45bb469d944858f1e3e3d7bad855bf7ca4fd8088c18e0b5b87e | MATLAB | 599 | 14 | function pstruct = tapas_gaussian_obs_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licen... |
06829dc6df99bd49978abec70facd708f5f00fbf82fa31507a841144026313be | MATLAB | 600 | 19 | function val = isricohmegfile(filename)
%% The extentions, .con, .ave, and .mrk are common between Ricoh and Yokogawa systems.
%% isricohmegfile idetifies whether the file is generated from Ricoh system or not.
%% This function uses a function in YOKOGAWA_MEG_READER toolbox, getYkgwHdrSystem.
if ft_hastoolbox('yokoga... |
7f6603334fbe958ec5bf80aa775e26f42eba85724decaa561481797a1f7c2128 | MATLAB | 600 | 10 | function [indmin mdall notenough]=multicenter_multimodelnlm_global(Age_gender,Brainsz,data_r,ylabelname,Plotornot,indall_select,betarealinitial,Site_info)
for i=1:size(indall_select,2);
Age_gender_new=Age_gender(indall_select(:,i),:);
Brainsz_new=Brainsz(indall_select(:,i));
data_r_new=data_r(indall_select(:,i));
... |
ffedbc079e5401b999ed533718c8ef5763ca6c7a5c9141a825cfc1fac84b5f80 | MATLAB | 600 | 14 | function pstruct = tapas_softmax_binary_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Lic... |
55a473ea979e5f31bded540c32a24d5f5cf5666d0451215cb3fb00b358b660b1 | MATLAB | 602 | 18 | function s = struct(this)
% Struct method for GIfTI objects
% FORMAT s = struct(this)
% this - GIfTI object
% s - a structure containing public fields of the object
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillau... |
c7a6b33a617c9f18e7ed75db12e81c7e78ca21949cfcba8914e570f3d144cad5 | MATLAB | 602 | 21 | function val = essential_costE2cost(X, costE)
% Cost evaluation at X given function handle in the Essential matrix E.
%
% function val = essential_costE2cost(X, costE)
%
% costE is the function handle for the cost function in E.
%
% See also: essential_egradE2egrad essential_ehessE2ehess
% This file is part of Manopt:... |
dc0f69829761fc066ea45b9a035fc30438e86ead2536c68df8c4256d208600ae | MATLAB | 602 | 29 | function [ms, amp] = get_avgLatency(data, type, tf)
% Get latency (ms) to first peak/trough after event onset
%
% INPUTS
% data: 1 x 7229 event-aligned photometry data
% type (string): 'peak'/'max' or 'trough'/'min'
% tf: time window in seconds to find peak/trough. E.g., 0.5
% Default is 0.5s
T = linspace(-5, 10, 722... |
f96382eef756f4ac0465b6bf1d1f245609bf4264af795790d0985223714adb6a | MATLAB | 604 | 18 | function ViewClusters_Callback(hObject, eventdata, handles)
[ClusteringData,clustAssign] = CreateClusteringData(handles, 'forClustering', false);
[~, clusterName, rejected, finished, clustAssign] = clusteringGUI(clustAssign, ClusteringData);
% Save the clusters
if finished == 1
saveChoice = questdlg('Update file... |
3b7113a879d85864ee135193e76dfc699ae44e79ec29b594beeb386a9d741dd3 | MATLAB | 605 | 13 | function [pvec, pstruct] = tapas_unitsq_sgm_mu3_transp(r, ptrans)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU Genera... |
3d29168c1eba86bf1f605ee9eb5c48f4d407bcdb53b66dae38d6b486f0b14664 | MATLAB | 605 | 19 | function df = estFirstDerivative(f, h)
% estimate 1st derivative (velocity) using: centered difference formulas for five-point stencils
% see wikipedia
% (c) Jiri, Mar11
df = nan(size(f));
df(1,:) = (f(2,:) - f(1,:))./h;
df(2,:) = (f(3,:) - f(2,:))./h;
%c = repmat([-1, 8, -8, 1]', 1, size(f,2)); % BUG (found 21... |
b0504f703b37721f5f59c44e52fe95f539dea1bae58a058eb302fa0360b61a1d | MATLAB | 605 | 20 | function [rand_nums] = randi_with_int(N,nmax,delta)
% N = 10; % number of integers required
% delta = 2; % minimum difference required
% Reference paper: Herzog et al. 2020 "Scalable and accurate automated method
% for neuronal ensemble detection in spiking neural networks"
% https://www.biorxiv.org/content/10.1101/2... |
e20843411bfd2afd6c6c78a8c4902a5c87d1591ac0c26b70a93be424ea4c3131 | MATLAB | 605 | 14 | function control_max_eig = circular_shift(SpikeCount,number_of_surrogates)
control_max_eig=zeros(1,number_of_surrogates);
for surr_idx = 1:number_of_surrogates
ControlSpikeCount=zeros(size(SpikeCount));
for neuron_idx = 1:size(SpikeCount,1)
drawnbin = randi(length(SpikeCount),1);
auxbin = [draw... |
fede9e48bfe87966fbf39393afd7eab89c5c93955c4c27366d909e225575f0dc | MATLAB | 605 | 23 | function tr = multitrace(A)
% Computes the traces of the 2D slices in a 3D matrix.
%
% function tr = multitrace(A)
%
% For a 3-dimensional matrix A of size n-by-n-by-N, returns a column vector
% tr of length N such that tr(k) = trace(A(:, :, k));
%
% See also: multiprod multitransp multiscale
% This file is part of M... |
fadff5bbfebd8629d082ae8f5cf7321b72680334c58e03ba256ae1030bf738a7 | MATLAB | 606 | 24 | function [converted, standard] = convertreward(rewardvector)
% Converts all reward volumes to nominal values
converted = rewardvector;
converted(converted==4) = 1;
converted(converted==5) = 1;
converted(converted==8) = 2;
converted(converted==10) = 2;
converted(converted==16) = 3;
converted(converted==20) = 3;
conve... |
abe97301d2b1c35b357d8617ba3d8913501f402f7975567738c60ca02d58f90b | MATLAB | 607 | 23 | function [ output_args ] = bestmatch( d , C1 , C2 )
%BESTMATCH( d , C1 , C2 ) Returns the BestMatch index between two
%clusterings C1 and C2 for given set distance d.
%
% INPUT:
% d [function handle]: two-argument distance function
% C1 [1x? cell]: clustering
% C2 [1x? cell]: clustering
%
%
% === Jan Moelter,... |
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