sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
56da51ebffa7894104854909913cebe3de4ec622f31a9892daba1b6cd90ed390 | MATLAB | 1,860 | 111 | % Normalize
% throught the "dim" h dimention
%
% Method 'z'
% for z-score
%
% Method 'm'
% for mean substraction
%
% Method 'mdB'
% for decilBell : 10*log(signal/baseline)
%
% Method 'bz'
% for bootstrapping z-score (Revisar por que esto es absurdo)
%
%
%
% V 0.1
%
% Pablo Billeke
%
% 15.06.2012
%
fu... |
5bdb45dd8a7fed38407acc89a3e1ca307e47df206b9aae424b56e0f8aaea853c | MATLAB | 1,860 | 60 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
8662263ba65a986945383f3f0af9ad767ef898e58eb72e3dc8eb7fe9bf273613 | MATLAB | 1,860 | 58 | function [msmooth, Vsmooth, loglik, VVsmooth] = ...
kalmanSmoother(y, A, C, Q, R, init_mu, init_V, varargin)
% Kalman/RTS smoother.
% Input/ output is same as for kalmanFilter
% For learning with EM, we also need to compute
% VVsmooth(:,:,t) = Cov[Z(t+1), Z(t) | y(1:T)] t=1:T-1
% This file is from pmtk3.googlecode.c... |
86b51acf5ce588f8252ad6fd6d0bd47d997a2ca9fa39220813829fd642b86cc5 | MATLAB | 1,860 | 95 | function ignoreSection(self,src,~)
if self.verbosity > 9
disp(mfilename)
end
if isempty(self.channel_to_work_with)
xlim = vertcat(self.handles.ax.ax.XLim);
xlim = xlim(strcmp({self.handles.ax.ax.Visible},'on'),:);
xlim = round(xlim(1,:)/self.dt);
else
xlim = round(self.handles.ax.ax(self.channel_to_work_with).XL... |
c56182e4e0019cda4b25149a3f0cc37cddde5637a9e8012a1bf704c14b38be57 | MATLAB | 1,860 | 53 | % AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
%
classdef SuhSubset<handle
properties(SetAccess=private)
dataSet;
selected;
parent;
end
methods
function th... |
61ebb77e914b101e055b8a69a85c8f52db7aec2e9dc115e8468aceb58616b621 | MATLAB | 1,861 | 49 | function h = plotClassProb(X, Y, predictFcn, varargin)
% Plot probability assigned to each class for a 2d grid
% This is a hacked version of plotDecisionBoundary.
%
% X - an n-by-2 data matrix
% Y - an n-by-1 matrix of class labels
% predictFcn - a handle to a function of the form yhat = predictFcn(Xt... |
eb0812c3b733703b622978d354e23accf6a6a622db1e559ef8b2a79b5688bfc7 | MATLAB | 1,861 | 74 | function Vinv=V2Vpinv(V,para);
% calculates 'inversions' of a leadfield-matrix
% under various notions of inversion
%
% usage: Vpinv=V2Vpinv(V,para);
%
% input:
% V nxmx3 matrix where V(i,j,k)
% is the potential in the i.th channel of
% a unit dipole at the j.th grid-point in k.th direction
% para option... |
970aaf2d7407d7ceb3c2b0e688f6afbbd4c133f4efb168d21079c58a26c55876 | MATLAB | 1,862 | 68 | function out = rocAnalysis(x,y,tail,nrand)
%
% function out = rocAnalysis(x,y,tail,nrand);
% x, y: vectors of observations from two conditions
% tail = 0 (test i~=0.5), 1 (test i>0.5), -1 (test i<0.5);
% nrand: number of randomizations for permutation test
if ~exist('tail', 'var'), tail = 0; end
if ~exist('nra... |
162b15e92f17d04240254c506d77adc5518f17dd657da3b9aa82f85dbda50b4b | MATLAB | 1,863 | 61 | function varargout = plot_mseVsNoise2(vcf, summaryInfoTable_raw, kecn, varargin)
% plot_mseVsNoise(vc, summaryInfoTable, avColors, sortFlag)
%% handle optional inputs (varargin):
nOpVar=0; % counter for optional variable
nOpVar=nOpVar+1; opVars.sortFlag = []; defaultValues{nOpVar} = 0;
nOpVar=nOpVar+1; opVars.limNoise... |
1b44858e19643291adf504e34d79f8dfc1c143f67edc797d3f877777cb1b033e | MATLAB | 1,863 | 84 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
3ccd66c92be6ec99e5ac33535e2f5a8c2884a33ff7826284df0d7e9d4865cf39 | MATLAB | 1,863 | 49 | function H = VBA_spm_logdet(C)
% returns the log of the determinant of positive (semi-)definite matrix C
% FORMAT H = spm_logdet(C)
% H = log(det(C))
%
% spm_logdet is a computationally efficient operator that can deal with
% full or sparse matrices. For non-positive definite cases, the determinant
% is considered to b... |
508478de861134b619ac7abce23950ac9a1a5579411e63fcaef6f4be6a04d04b | MATLAB | 1,863 | 42 | clear all;
close all;
clc;
addpath wjn_toolbox-master
addpath spm
addpath lead dbs
%%
% 0. load tf data
Dt=spm_eeg_load('data/iEEG/tf_spm_ecog.mat');
Dt = spm_eeg_load('C:\Users\ICN_guest\Charité - Universitätsmedizin Berlin\Interventional Cognitive Neuromodulation - PROJECT ECoG Atlas Connectomics\data\iEEG\tf_spm_eco... |
8e83cae7d72beeb386b6a7e11c2afd0e431886a7c05970731e066ea06d391993 | MATLAB | 1,863 | 35 | function StateSwitch_addSurroundingCues_dynamic_170911(expInfo, screenInfo, indRun, indBlock, indTrial)
% adds the surrounding cues for the next flip
for indAtt = 1:4
if strcmp(expInfo.cuetype, 'woWord')
CueImg = ['img',filesep, expInfo.MAT.attNames{indAtt},'QwoWord.png'];
else
... |
bc61e17ee63b4ebb00a0a77b82402a8789f1c2ef79e8e9ffbc5c2d823330cf72 | MATLAB | 1,863 | 69 | function [ powerfast, powerslow ] = ...
wlProc_calcMagPowerFastSlow(magsignal, samprate, flong, fshort)
% function [ powerfast, powerslow ] = ...
% wlProc_calcMagPowerFastSlow(magsignal, samprate, flong, fshort)
%
% This function computes the instantaneous power of the fast-changing and
% slowly-changing portions ... |
31f2022d80be8caae5a49bd8e6e3859607ade6e536181d7fcaf344052514b2ce | MATLAB | 1,865 | 56 | % Author: Birgit Nierula (Mai, 2020)
% nierula@cbs.mpg.de
%% Remove double detections of R-peaks
%% --> to use after manual detection steps
% This script follows SRMR1_01_prepro_2_manualPeakDetection.m
% The script removes double detected qrs triggers
ana_dir = '/data/pt_02068/';
sav_dir = '/data/p_02068/SRMR1_exper... |
86a72c84965ad25d435fbca56ce3edc9f4f82ba48c6cf489628893341dea1d3d | MATLAB | 1,865 | 68 | function jbm_todo()
todo_dirpath = 'C:\Users\Josh\Desktop\todo';
todo_filepath = [todo_dirpath '\todo.mat'];
if ~exist(todo_filepath)
todo_struct = [];
save(todo_filepath,'todo_struct');
elseif exist(todo_filepath)
temp = load(todo_filepath);
todo_struct = temp.todo_struct;
end
modified_... |
98bcbb2256485bd20996eda2ad96a6b623e8930b13b927939d504fd9675e5dba | MATLAB | 1,865 | 52 | function [output] = volumethreshold(input, thresh, str)
% VOLUMETHRESHOLD is a helper function for segmentations. It applies a
% relative threshold and subsequently looks for the largest connected part,
% thereby removing small blobs such as vitamine E capsules.
%
% See also VOLUMEFILLHOLES, VOLUMESMOOTH
if nargin<2 ... |
b9b38f03405c250148a474dd5e45d6b290cf038a0f0ce33338ab80613ae492a2 | MATLAB | 1,865 | 49 | function p = CBIG_corrected_resampled_ttest_kfoldCV(accuracy_vec, threshold)
% p = CBIG_corrected_resampled_ttest_kfoldCV(accuracy_vec, threshold)
%
% This function tests whether an accuracy vector (obtained from repeated K-fold cross-validation)
% is statistically different from a threshold. The accuracy vector can... |
10092e8d4363da4461f38142b6c621efc3c5287a944da8e2be9289cc1ba63549 | MATLAB | 1,867 | 50 | %% Illustration of a function g and its second order approximation.
%
%%
% This file is from pmtk3.googlecode.com
function newtonsMethodMinQuad
figure(); hold on;
xmin = -5; xmax = 0;
ymin = -20; ymax = 150;
domain = xmin:0.01:xmax;
f = @(x) -x.^3;
Xk = -4;
f1 = @(x) -3*x.^2;
f2 = @(x) -6*x;
t = @(... |
69f9089c30a3b2d5e6b432829ab7824fc6ac7a3a0c009ae983cfcc5dcdeb7dcb | MATLAB | 1,867 | 72 | function X = imNormalize( X, flag )
% Various ways to normalize a (multidimensional) image.
%
% X may have arbitrary dimension (ie an image or video, etc). X is treated
% as a vector of pixel values. Hence, the mean of X is the average pixel
% value, and likewise the standard deviation is the std of the pixels from
%... |
8326818e53ba31dd0f351f7046a0ffc1c413fca6e4830c1269a7a97dc8cbbe07 | MATLAB | 1,867 | 45 |
data = dir('/DATAPOOL/ERRORMONITORING/SEM_mri_data/P*');
%%
for i = 1:size(data,1)
data_func = dir([data(i).folder, '/', data(i).name, '/mri/SEM_', data(i).name, '/nifti/func/run*']);
fprintf(data(i).name);
for j = 1:size(data_func,1)
dir_folder... |
8812d5b0b8434745ec3b0b870aed1fd02aa8f05cdbe7035dc8af988d01c8b3e6 | MATLAB | 1,868 | 44 | function imdata = calculate_pairwise_correlation_and_overlap(Iall,Isyn,Isyn_trans,ctrlshift_xy)
%Calculates 3D and 2D correlation between synaptic channels
%Control image is the image shifted to check for spurious correlation
correlations = zeros(size(Iall,2),size(Iall,2));
overlaps = zeros(size(Iall,2),size(Iall,2));... |
e6f1354d495735cd3f711c06e4b35742068ea88f7d358b8ab89859ca3294eb34 | MATLAB | 1,868 | 82 | function out = read_tobii_tsv(filename, varargin)
% READ_TOBII_TSV
%
% Use as
% hdr = read_tobii_tsv(filename)
% or
% dat = read_tobii_tsv(filename, tsv, begsample, endsample)
needhdr = (nargin==1);
needdat = (nargin>1);
if needhdr
% get the original header details
fid = fopen(filename, 'rt');
tsv = st... |
31a6cbecf8fddb68208e598aa17d8575e8177b39116388f02e881efac580f3e7 | MATLAB | 1,869 | 41 | % Script for running a simple ex-Gaussian analysis
% =========================================================================
%
% Dependencies:
% - MATLAB's Statistics and Optimization Toolboxes
% - John D'Errico's fminsearchbnd file: http://bit.ly/Ky3xll
%
% Explanation of variables:
% y - Nx1 vector of ... |
3cacffd4f0f003ee0a1fa7942c92d35a40b9e9bb66a458e9f4f77a5022e7c6ac | MATLAB | 1,869 | 55 | function I = arrayCrop( I, strLocs, endLocs, padEl )
% Used to crop a rectangular region from an n dimensional array.
%
% Guarantees that the resulting array will have dims as specified by rect
% by filling in locations with padEl if the locations are outside of array.
%
% USAGE
% I = arrayCrop( I, strLocs, endLocs, [... |
76c58db7fcb31a599db5e6b1d907a2768e05b82021aeadd0e4fb5411344d09df | MATLAB | 1,869 | 82 | function out = read_tobii_tsv(filename, varargin)
% READ_TOBII_TSV
%
% Use as
% hdr = read_tobii_tsv(filename)
% or
% dat = read_tobii_tsv(filename, tsv, begsample, endsample)
needhdr = (nargin==1);
needdat = (nargin>1);
if needhdr
% get the original header details
fid = fopen(filename, 'rt');
tsv = st... |
cd5c2e81c92f4d5ca0acd228e1a6360b57a96b67d2b31396f59b5213be876904 | MATLAB | 1,869 | 70 | function [model, loglikHist] = linregRobustStudentFitEm(X, y, dof, varargin)
%% Fit linear regression with Student noise model by EM
%
%PMTKauthor Hannes Bretschneider
%PMTKmodified Kevin Murphy, Matt Dunham
%%
% This file is from pmtk3.googlecode.com
SetDefaultValue(3, 'dof', []);
if dof==0
dof = [];
end
model.... |
48e392bfa2044829d393573e15e6da0c2027e9561b0bfbbcec8a23f572ab22d9 | MATLAB | 1,870 | 35 | function mat = GetAdjMatrix(params, delAfterLoad)
% params {AdjMatrixParams}: specify the desired parameters;
% delAfterLoad {boolean}: if true, txt file generated by networkX will be deleted after loading the matrix
%
% performs an external call to Python package networkX, which creates
% an adjace... |
bae17b762cd8800e5019f1d0b5653b89a92db2cf71efa1427217e529773b008f | MATLAB | 1,870 | 56 | function Prep_T1(mri_path, out_path, pid, visitnum)
% Prep_T1 will load an MRI T1 into MATLAB and use a FieldTrip helper function
% to make the T1 compatible for MEG beamforming (i.e., marking the 3 fiducial
% points (nasion, left, and right pre-auricular points). This only needs to be
% carried out once for each par... |
0f551a92e03a9ba3b14b92cc42c0da972c256be12e7deed2b650f8a61a251563 | MATLAB | 1,871 | 77 | function [pos, tri] = icosahedron(varargin)
% ICOSAHEDRON creates an icosahedron with 12 vertices and 20 triangles
%
% Use as
% [pos, tri] = icosahedron
%
% See also TETRAHEDRON, OCTAHEDRON, ICOSAHEDRON42, ICOSAHEDRON162, ICOSAHEDRON642, ICOSAHEDRON2562
% Copyright (C) 2002, Robert Oostenveld
%
% This file is part ... |
25fe7f6a4ca8028701dfb25656bb6b14a8defbd77a0f71565c0dadd1caa47c71 | MATLAB | 1,871 | 62 | ccc; load('shuf-dyna.mat', 'upres', 'dnres');
load('real-dyna.mat', 'res');
upres = upres([1,3,5], :); upres = upres';
dnres = dnres([1,3,5], :); dnres = dnres';
plot(upres(:), 'r'); hold on;
plot(dnres(:), 'b');
plot(res(2:end), 'k')
ccc;
cd '/media/data/data/oldmanu/mine/ref/newtrack/revise/decode';
init_scienc... |
44d76efdf0580893e161cd8cf14e78f3d5615ec43420c0eeb1e6884d2e973ba6 | MATLAB | 1,872 | 82 | function draw_figure4F(p,encRes)
%
% This code is for drawing figure 4F
%
%
%% settings
compPairs = {'category','dimension'};
nSbj = length(p.sbjID);
%% draw figures 4F
% summarize idnetification accuracy
iden_cr_mu = cell(length(compPairs),nSbj);
iden_cr_ci = cell(length(compPairs),nSbj);
for sbjitr = 1:nSbj
for... |
74057b2374be1725fdf1f10b4c3e4fe3dfecfb256f2e37c97d19912ce5caac01 | MATLAB | 1,872 | 57 | function [bouts, lens] = detect_binarybouts(binary_vector)
% DETECT_BINARYBOUTS serves to detect the start and end indices of binary events from vectors of zeros
% and ones as well as calculate the lens of these events. Importantly, it
% corrects for any spurious additional t_starts and t_ends that correspond
% wit... |
749bd8c9c8c691894ec26f51ef360e7106daa1e57554df8e6dbd6baf6426bc45 | MATLAB | 1,872 | 60 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
ec522a1d784d07b9090587f59779a7ddd10cc05e6161ad7705ee44058fd5a390 | MATLAB | 1,872 | 60 | function dG = filterDoog( dims, sigmas, nderivs, show )
% n-dim difference of offset Gaussian DooG filter (Gaussian derivative).
%
% Creates a nd derivative of Gaussian kernel. For all but d==1 use
% primarily for visualization purposes -- for filtering better to use the
% indvidiual seperable kernels for efficiency p... |
025a0d3d42901a3e5f9d2057e26aab4ff87bf7945a65a984ed339973282d6faf | MATLAB | 1,873 | 62 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
7ab07a8b18f03b6967c4a3c7127caa257480f02f7561b30ce57443d21a58e709 | MATLAB | 1,873 | 33 | function doc_log_likelihood = CBIG_EM_doc_log_likelihood(w, paradigm, params, q)
% doc_log_likelihood = CBIG_EM_doc_log_likelihood(w, paradigm, params, q)
%
% Compute the log likelihood of a single experiment (document) given an updated
% auxillary parameter q.
% Note that compared to CBIG_EM_doc_log_likelihood_wc.m... |
fea8db58e4a84a54001399764136a1c083d02021f963ab29df74d8fbe917d291 | MATLAB | 1,873 | 74 | %% Visualize fitting a mixture of Gaussians to the old faithful dataset
% reproduce Bishop fig 9.8
%%
% This file is from pmtk3.googlecode.com
function mixGaussDemoFaithful
setSeed(0);
K = 2;
dataset = 'heightWeight';
dataset = 'faithful';
if strcmp(dataset, 'faithful')
X = loadData('faithful');
X = standa... |
2c51a105bd14b259d55205285b57167c28d3dbe0ecc25126cde3a3fdd71e76e1 | MATLAB | 1,874 | 59 | function LAN = lan_from_rhd(srate_new, filename, pathname)
% *************DEPENDENCIES*************
% - read_Intan_RHD2000_file_.m (Intan Technologies)
% (c) 2010, Intan Technologies, LLC
% For more information, see http://www.intantech.com
% For updates and latest version, see http://www.intantech.com/software.html
%... |
8d932b436ef7d9d27e8e10c0788a7f62703428117bdbd20e0a98a5c10c6a5f00 | MATLAB | 1,875 | 54 | function [hdr] = read_brainstorm_header(filename)
% READ_BRAINSTORM_HEADER reads the header information from .EEG files
% that have been generated by the Nihon Kohden system. The function
% constitutes a wrapper around BrainStorm3 functionalities
%
% Use as
% [hdr] = read_brainstorm_header(filename)
%
% See also ... |
6ce8832ca992feb5f7303a620441733c086325968800c3403a9133214f918b32 | MATLAB | 1,876 | 104 | function map = bw
% create red-white-blue colorbar
% written by Tomoyasu Horikawa 20160310
%% color configuration : from blue to to white then to red
%% color interpolation
T = [8,54,105
20,77,138
35,104,173
51,126,184
71,149,196
104,171,207
145,196,221
175,212,230
208,228,239
2... |
6d71b048f0ccd99a0461b560703db51c26519444c5e2fc20f901f57857732ab0 | MATLAB | 1,877 | 84 | % Demo for dummy HRF model inversion.
% This demo simulates an HRF using a Fourier basis set and parameters that
% have been estimated on real data.
% The demo then inverts a model based on a mixture of two Gamma functions,
% estimating parameters and deriving the model evidence.
close all
clear variables
%---- HRF... |
11cf45ef8e10bef672f3f477976e62f134770dd20b7f3af72e88902b900d8df7 | MATLAB | 1,878 | 62 | function x=anasing(N,t0,h) ;
%ANASING Lipschitz singularity.
% X=ANASING(N,T0,H) generates the N-points Lipschitz singularity
% centered around T=T0 : X(T) = |T-T0|^H.
%
% N : number of points in time
% T0 : time localization of the singularity (default : N/2)
% H : strenght of the Lipschitz singularity (positive ... |
6629fd58fdf6b1c274b43a1a5a63d7c63838197790ccdac771e7a55b7ef7b09f | MATLAB | 1,878 | 62 | function [y,iflaw] = fmconst(N,fnorm,t0);
%FMCONST Signal with constant frequency modulation.
% [Y,IFLAW] = FMCONST(N,FNORM,T0) generates a frequency modulation
% with a constant frequency fnorm.
% The phase of this modulation is such that y(t0)=1.
%
% N : number of points.
% FNORM : normalised frequency. ... |
adef770ef02daba800fdf33b9a4e6806b52780248cbe4d75d70c855f19248958 | MATLAB | 1,878 | 62 | % Copyright Christopher Fricke, University Leipzig Medical Center,
% Neurology 2024
basefolder = 'Resting State Connectivity Analysis';
datafolder = 'Resting State Connectivity Analysis\data\HCP\subjects';
targetfolder = 'data\results\Connectivity';
d = load(fullfile(basefolder,'denoisingOptions','unsmoothed_9... |
9e52b37acc058432f876b3515575f2d58edd414fb8741c16981c56b90d04c84a | MATLAB | 1,879 | 68 | function APT_deployed(varargin)
% Entry point for compiled matlab exectuable.
try
% Parse the command-line arguments
[do_test, test_name, is_lbl_given, lbl_file_name] = parse_args(varargin) ;
% Either run test code or call StartAPT()
if do_test
% Run test(s) and exit
if strcmp(test_na... |
c39c4cce68a8dd5a2e989949e8c0395fb73b3f513d78948f0ad150c87a041311 | MATLAB | 1,879 | 64 | %%% Interpolated skin voltage plot
%%% Author GNP 2024
%%% Given the electrode indices and electrode potentials interpolate the
%%% skin potential by taking a weighed average, and plot it.
%% read voltages and indices
ix = 11;
LFM = load(fullfile('data/LFM/LeadField_matrix4000.mat')).LeadField_matrix;
% take voltage ... |
f2f0e452211591671f2dc396fc8ef5872dd3b64bed3eba5a36b9ce01e5b3d381 | MATLAB | 1,879 | 76 | function splitDat = SplitTest(spkDat, clust, varargin)
minIsi = 1; % in milliseconds
Fs = spkDat.Fs;
wvFs = Fs * spkDat.upsample;
clustList = setdiff(unique(spkDat.id), 0);
nClust = length(clustList);
[wL, nChan, ~] = size(spkDat.waves);
pk = spkDat.peakLoc;
wP = spkDat.wavePad;
wL = wL - 2*wP;
win = 1000 * [1 - pk wL... |
96da511355ea14c03f8e726e235ff42ed8231b366ffd914476d92ecd0f6239cd | MATLAB | 1,880 | 46 | function Aout = h_quickinfo(header)
if header.software.version >=3.8
Aout.zoom = header.acq.zoomFactor;
Aout.resolution = [header.acq.pixelsPerLine,header.acq.linesPerFrame];
% maxPower = header.init.eom.maxPower;
% PA_power = header.init.eom.boxPowerArray;
if ischar(header.init.eom.maxPower... |
d0e9d277a32e2d7f95d0e1eb2391ed09192cac3b942d2374af74a3e38e48919b | MATLAB | 1,880 | 71 | %% Example
% This example illustrates how simple it is to do
% continuous wavelet transform (CWT), Cross wavelet transform (XWT)
% and Wavelet Coherence (WTC) plots of your own data.
%
% The time series we will be analyzing are the winter
% Arctic Oscillation index (AO) and
% the maximum sea ice extent in the Balt... |
0a889918ead7c0da6965a4d28c092bdd83144455ac584fc64e59d789da8884d9 | MATLAB | 1,882 | 73 | %% Interpolate some data using a joint Gaussian
% Based on p140 of "Introduction to Bayesian scientific computation"
% by Calvetti and Somersalo
setSeed(1);
D = 150;
Nobs = 10;
xs = linspace(0, 1, D);
perm = randperm(D);
obsNdx = perm(1:Nobs);
hidNdx = setdiff(1:D, obsNdx);
xobs = randn(Nobs, 1);
% Make a (D-2) * D ... |
1c4554117447ea230037dfd9878066c8dd46574fc793f9587b394260f58e2247 | MATLAB | 1,882 | 61 | for recCounter = 1:size(data1,2)
data1_mdn(recCounter) = median(data1{recCounter})./median(data2{recCounter});
end
%colour = lines(length(int)); % colour code for different cells
r_all = (zeros(length(pyr),length(int)));
distance_all = (zeros(length(pyr),length(int)));
for internCounter = 1:length(int)
% ... |
0391dc4726d077f31ba1bb8c3b4785215667c1b96d272275f96360733b002001 | MATLAB | 1,883 | 60 | function a = subsref(t,s)
%SUBSREF Subscripted reference for a ktensor.
%
% Examples
% X = ktensor([3; 2], rand(4,2), rand(5,2), rand(3,2));
% X.lambda returns the lambda array ([3;2]).
% X.U returns a cell array of 3 matrices.
% X.U{1} returns the matrix corresponding to the first mode.
% X(2,3,1) calculat... |
0aed7767953ae8fca9fe6cb996b094dc376bbd0dd69612d713c0ddaa863a1f3c | MATLAB | 1,883 | 61 | function NumIters=w_FWHMToNITERS_Surf(FWHM, SurfFiles)
% Estimate number of iterations for specific FWHM
% %------------------------------------------------------------------------
% Usage: FWHM=w_FWHMToNITERS_Surf(FWHM, SurfFiles)
%
% Input:
% FWHM - Full width half high kernel for smoothing.
% SurfFiles ... |
709f7e00ab4414aaf9040be50619d9afc8b1c2b0c403b1b79de2feecd1f62a1c | MATLAB | 1,883 | 54 | function [grid] = ft_source2grid(source)
% FT_SOURCE2GRID removes the fields from a source structure that are
% not necessary to reuse the dipole grid in another source estimation.
%
% Use as
% [grid] = ft_source2grid(source);
%
% The resulting grid can be used in the configuration of another
% run of FT_SOURCEANALY... |
cd6b985fd9ce8a57eb1b9df1cabc7178fe174cbb30f1c8b19c578235b9b52874 | MATLAB | 1,883 | 78 | function varargout = centerOfMass(A,varargin)
% CENTEROFMASS finds the center of mass of the N-dimensional input array
%
% CENTEROFMASS(A) finds the gray-level-weighted center of mass of the
% N-dimensional numerical array A. A must be real and finite. A warning
% is issued if A contains any negative values. Any ... |
8838faac9ecf00a32ad7d94dc65dbb7296d495c77964507b681d89333c435915 | MATLAB | 1,884 | 50 | function M = coarserModel(M, r)
%COARSERMODEL Make a brain model coarser by calling reducepatch.
%
% reducepatch(M, r) reduces the number of faces of the patch identified by M,
% while attempting to preserve the overall shape of the original object.
% MATLAB interprets the reduction factor r in one of two ... |
5cb7542a3432663a74cecfacc8c79f90e2b0176f84665e5b455e7c24fef2b78f | MATLAB | 1,885 | 46 | function [data_filter_above,data_filter_below] = loc_list_clusters_filter_no_of_locs(data)
answer = inputdlg({'Enter Minimum Number of Points per Cluster:'},'Input',[1 50],{'5'});
if isempty(answer)~=1
min_N = str2double(answer{1});
f = waitbar(0,'Filtering Based on Number of Locs...');
for i=1:length(... |
63037a67c643a7a940472cac05d2d70c7c093b29f928b8677322676859e7a557 | MATLAB | 1,885 | 56 | function CBIG_Plot17NetworksSqCorrMat(fig_num, corr_mat, clow, chigh, color_map)
% CBIG_Plot17NetworksSqCorrMat(fig_num, corr_mat, clow, chigh, color_map)
%
% This function is used to visualize network correlation map. Use axis
% lines with equal lengths. Adjust the increments between data units
% accordingly. Value... |
2f1b9c1f90b5c1f8388356b65fada59e59ca3457e3fd50a0c6a1e56b22211766 | MATLAB | 1,886 | 72 | function [x,gx,microTime,sampleInd] = VBA_microTime(posterior,u,out)
% gets micro-time time series from posterior
try
inF = out.options.inF{1};
catch
inF = out.options.inF;
end
options = out.options;
try
dt = options.decim.*inF.deltat;
microTime = 0:inF.deltat:options.dim.n_t*dt;
catch
microTime = 0... |
5d449a05cfcbd9a30f0f32145d96e3ea949c259e2bf77c4173f3671c7df3f241 | MATLAB | 1,886 | 71 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
%% other (ENG and EMG) preprocessing wrapper script
clear; clc
delete(gcp('nocreate')) % clear parallel pool
%% variables that need to be changed
% loop
loop_number = 1;
disp(['loop number = ' num2str(loop_number)])
% subject, condition, and block info
subject_idx = []; ... |
7317bf45a14d6699df07335bdb90c7acb8b13ab4d83c94033c025fc233fd295d | MATLAB | 1,886 | 61 | function h_dragBoundaryMark3
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3;
boundaryMarkObj = findobj(handles.imageAxes,'Tag','boundaryMark3');
set(boundaryMarkObj, 'Selected','off');
set(gco,'Selected','on','SelectionHighlight','off');
t0 = clock;
UserData = get(gco,'UserDa... |
dfc7460705611d46f5f5031d8a39528a3dc4cc0b272cc1246c5d4fa8b6a69f53 | MATLAB | 1,886 | 81 |
imgToFilter = double(IafterWithZeros);
gValues = [0 0.5 1 2 4 8 16];
N = 200;
histTraces = zeros(N,length(gValues),2);
figure
%subplot(1,2,1);
hold on
%set(gca,'Ylim',[0 1e5])
%set(gca,'Xlim',[0 100])
%subplot(1,2,2);
hold on
i = 1;
load 'cmapblackandred.mat'
[histTraces(:,i,2) histTraces(:,i,1)] = hist(imgToFi... |
4e2bba16e76fcd286b306072b2bd9c922faf4960404abb6b62a1d41c3c6e0efa | MATLAB | 1,887 | 53 | % IpsaContraAverage
% Sarah West
% 7/22/22
% Takes a correlation matrix and averages the values of nodes with their
% corresponding node on the opposite hemisphere, but keeping ipsalateral &
% contralateral relationships intact. Reduces the number of unique
% correlations by half.
function [parameters] = IpsaContraA... |
ed0fe063b21b01cc9b07f3d1d67d3fb2748d8a8f8b710d138f0f9ede6d1246d7 | MATLAB | 1,887 | 45 | function [imageNames, sourceURLS] = googleDocsSource()
%% These are MLBook source files created in google docs
sourceURLS = ...
{
'https://docs.google.com/drawings/d/1yl54n1fui1Lo-wSPiB81epN9trEmhYFXcpIkvb7QoAk/edit';
'https://docs.google.com/presentation/d/1uP9ejo_A2LQKJoDoA-GCRiTzIg0o1BAgVjUpslmjJ60/edit';
'https:/... |
fa58309669034e7ff11252a00c442e297182db43e93c99656a0f946f91364f77 | MATLAB | 1,888 | 65 | function AddFigureLabels(h, label_offset, caps)
if nargin == 1
label_offset = [.05 .05]; % annotation margin
caps = true;
elseif nargin == 2
caps = true;
end
if caps
char_offset = 64;
else
char_offset = 96;
end
if isa(h, 'matlab.graphics.axis.Axes')
... |
3d1131e132975945ecc1f798207fe270d14522c92cffb54709de20752376aac7 | MATLAB | 1,889 | 64 | function fg = factorGraphCreate(cliques, nstates)
%% Create a factor graph
% This is a bipartite undirected graph with two types of nodes, 'round',
% and 'square'. Round nodes represent random variables, and square nodes
% represent factors. There is an edge from each variable to every factor
% that 'mentions' it.
%
%... |
3ecc260c7a2d1ed15f94b0a6cfb92f6b330728ffde7da5502ab8c756aaf85c9e | MATLAB | 1,889 | 60 | % Copyright SNM 2012-2024
%% Cluster number
if ~exist('main', 'var')
main = 1; % Cluster number
end
%% Define dipoles in the cluster
d = 0.4; % dipole length in mm
%Idx = Cl.ClusterNodes{main}; % true indexes into cluster nodes
cluster_center = Cl.cl_centers(main,:);
Idx = knnsear... |
5c065b66605ba149d1db0ffdb2eeee52c784a2e22f6d87831d5dfbb43c7c0857 | MATLAB | 1,889 | 55 | function lan_master_gui_spks_plot(spikes, clu, xax)
figure
check(1) = uicontrol('style', 'checkbox', 'string', 'c1',...
'units', 'norm', 'position', [.1 .01 .08 .05], 'value', true,...
'callback', @cb_checkbox);
check(2) = uicontrol('style', 'checkbox', 'string', 'c2',...
'units', 'norm', 'position', [.2 ... |
8840a7f615adf04c0bed5485f361662c17c1eea403c46a3673f60e449f00e822 | MATLAB | 1,889 | 84 | function synchrot = plot_syncro_s(LAN,algo);
% algo = 'PLV' - 'PLI' - 'BOTH'
if nargin == 1
Algo = 1; %
else
if strcmp(algo,'PVL')
Algo = 1;
elseif strcmp(algo,'PLI')
Algo = 2;
elseif strcmp(algo,'BOTH')
Algo = 3;
else
Algo = 1;
end
end
%-----------------------
... |
920edadf0b2419aba085c7d813c3731ee51809acb0ea5ee50152620ea4941551 | MATLAB | 1,890 | 62 | %% Image denoising using an mrf and exact inference
% This file is from pmtk3.googlecode.com
%% Generate Data
%input matrix consisting of letter A. The body of letter A is made of 1's
%while the background is made of -1's.
% We use a small 8x8 image so we can use exact inference
setSeed(0);
if imagesToolboxInstalle... |
c3c12be5496f872b3ea695d5ca29472f8214501c739d106d3f3642ad650090c3 | MATLAB | 1,890 | 80 | function [res, count] = fiff_transform_meg_chs(chs,trans)
%
% [res, count] = fiff_transform_meg_chs(chs,trans)
%
% Move to another coordinate system in MEG channel channel info
% Count gives the number of channels transformed
%
% NOTE: Only the coil_trans field is modified by this routine, not
% loc which remains to re... |
d9a840427e697c277d3d4f7c77d96f9a47b11955a73813f3bc6b486362e1b39a | MATLAB | 1,890 | 72 | function [results, unmatched] = parse_params(args, defaults, varargin)
%PARSE_PARAMS Parses a set of name-value pairs.
% Usage:
% parsed = parse_params(args, defaults)
% parsed = parse_params(args, defaults, 'Name', Val, ...)
% [parsed, unmatched] = parse_params(...)
%
% Args:
% args: a cell array or structure ... |
71cd5800335df5639423911c3893c1a513a71e56694af1876c2449e2ff583e3e | MATLAB | 1,891 | 78 | function crop_table = get_crop_from_pickle(pickle_file)
%GET_CROP_FROM_PICKLE Load cropping parameters from a DeepLabCut pickle file.
%
% Parameters
% ----------
% pickle_file : char or string
% Full path to the pickle (.pickle) file containing DeepLabCut
% metadata and cropping parameters.
%
% Returns
% ------... |
1f440844434f601d0e85e0c6aaf7fe8be7ddd6cf157a286b885bb21648dd9153 | MATLAB | 1,892 | 95 | function keys = test_sift_cuda(mode)
% simple 1
% img = zeros(3,3,3);
% img(2,2,2) = 1;
% img(1,2,2) = 0.5;
% img(3,2,2) = 0.5;
% img(2,1,2) = 0.5;
% img(2,3,2) = 0.5;
%
% kpts = [2,2,2];
% simple 2
% img = zeros(10,10,10);
% img(5,5,5) = 1;
% img(4,5,5) = 0.5;
% img(6,5,5) = ... |
271f8c8340a277b3678efb6e3cde60513bb33f76f04e32ce131c5c1c34f84401 | MATLAB | 1,892 | 69 | function [ Mx ] = transf3Dmatrix( t_struct, s_struct, r_struct, phi )
%TRANSF3DMATRIX Compute general 3D transformation matrix.
%
% The resulting matrix allows scaling, translation and rotation around an
% arbitrary vector.
% The resulting 3D transformation matrix dimension is (3 x 4), allowing
% translation... |
2f0f52dd751972f3152f9f0a6ee110a13d1511ee8682e063a6835fcfb800478f | MATLAB | 1,892 | 65 | function afunc_file = slice_timing_correction_4d(func_file,params)
% Slice timing correction is applied in the third dimension (Z, often
% axial).
func_vols=[];
for i=1:length(func_file)
[func_p,func_n,func_e] = fileparts(char(func_file{i}));
func_vols{i} = cellstr(spm_select('ExtFPList',func_p,['^' func_n func... |
5b8269af6177a07e9c692cbdd61b8701f5f2581dfd4040c00a38b2c1ab4ad5b1 | MATLAB | 1,892 | 60 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
5d9cf9d2354ebbdb5ab9d22a68a605ced023a00ce457e5fd1074ce5142a437a5 | MATLAB | 1,892 | 52 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef TagEntry < Entry
%TAGENTRY Section of an AxisFile that contains TagRevison
properties(GetAccess = public, Constant = true)
BaseSize = int64(2 + DateTime.Size + 16 + 4);
end... |
703efa220d5c94192c710eaae4267214a578798e45e80ae93808171bf2012b56 | MATLAB | 1,892 | 83 | function htmlLink = texifyFormula(str, fname, directory)
%% Create a png image of a compiled single line latex mathematical formula
%
%% Inputs
%
% str - a valid latex formula, see example
% (we surround it with '$' signs automatically if you don't)
%
% fname - a .png image of the compiled latex... |
83e03bbccbc1a19119ddab41a7d2d8a69c323177141c94d2f6eb4fc8af2f2c39 | MATLAB | 1,892 | 77 | function U2=watsons_U2(A1,A2)
%
% U2=watsons_U2(A1,A2)
%
% Computes Watson's U2 statistic for nonparametric 2-sample testing of
% circular data, accommodating ties. The code is derived from eq. 27.17
% Zar (1999) and its performance was verified using the numerical examples
% 27.10 and 27.11 from that reference.
%
% In... |
0436ce0dea34e08df2c62166e02599e54eeb8111e44d19e854d9a3113397b9d6 | MATLAB | 1,893 | 59 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% wrapper_full_calibration.m -- A wrapper for the calibration runtime. %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function []=create_BEM_model(pat_ix, model, inverse_model)
pat_cell = {'110411','117122... |
0c00831ab534284109d40cfa8185c96b3ac067c00487dd816698cf7a66e30f12 | MATLAB | 1,894 | 59 | % demo for RFT simulations
clear all
close all
clc
%--- RFT: GLM analysis
L = 1e3; % size of the 1D field
n = 64; % number of GLM data samples
k = 8; % number of GLM parameters
N = 1e2; % number of Monte-Carlo simulations
v = ([1:5:50]/2.355).^2; % smoothing kernel variances
verbose = 0;
for j=1:length(v)
j
... |
1ad10f5b6e443f1043c2bb8ca66c2c0662980284325c3670a9940059a35e9cfe | MATLAB | 1,894 | 64 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
1adad57f987d0ee57e14802482ea41b9c9372984466d4f904304a8d2f9dd5c8a | MATLAB | 1,894 | 63 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% File: PTBStopEyeTrackerRecording.m
%
% Stop the eyelink eye tracker recording
%
% Usage: PTBStopEyeTrackerRecording
%
% Author: Doug Bemis
% Date: 10/12/11
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function PTBStopEyeTrackerRecording(eyeDir)
global PTBEyeTr... |
1fd34ceb6a44b8bb5ed33bc6c2fc4fd5cf261f9a6bb2e4882caeaebd02b140de | MATLAB | 1,894 | 47 | function [varargout] = isequaln(varargin)
% ISEQUALN is a drop-in replacement for the same function that was
% introduced in MATLAB R2012a.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% see https://github.com/fieldtrip/fieldtrip/issues/... |
45c81f0cb7d65cedcec070002235d86961a194bb6ec31bafd7ce1012f6dc214c | MATLAB | 1,894 | 59 | function [output, assign, cost, dice_overlap] = CBIG_HungarianClusterMatch(ref_labels, input_labels, disp_flag)
% [output, assign, cost, dice_overlap] = CBIG_HungarianClusterMatch(ref_labels, input_labels, disp_flag)
%
% A general function of Hungarian matching for clusters.
%
% Input arguments:
% - ref_labels :... |
67c8865da8ac444dbf20e5a30e81fbaffa622e269eb2c2014d64dfd358e71dbd | MATLAB | 1,894 | 51 | %% SAT - app_input::
%% helper.getTrialIndex
% Name: Phone Kyaw
% Date: 09/19/2024
% Description: Return the index numbers of rows that has nothing but
% char/string inside it
% Parameters: data - a 2D cell array
% trial_limit - The amount of trials for allocation
% Retu... |
4ad33b57808f8470023be7f6312580cf6d060b7974c1c547add4e4592550cf6b | MATLAB | 1,895 | 66 | %% fnc_SampleInputs: function that samples the input variables of a project
%
% Usage:
% [Set1 Set2] = fnc_SampleInputs(pro)
%
% Inputs:
% pro project structure
%
% Output:
% Set1, Set2 matrix with the input pdfs sampled
%
% ----------------------------------------------------------------... |
5138f4e6e883fe73a9661a37208f7d85ec08be9bc69dd8ab16724d3a7fb53e0e | MATLAB | 1,895 | 35 | psthPara.binsize = 10; psthPara.binstep = 10; % ms
tIndex = matches({trialAll.Type}, 'Reward');
% spike
spkRewardprediction(1).devType = 'first 15';
spkRewardprediction(1).trials = find(tIndex, 15, "first")';
trials = trialAll(find(tIndex, 15, "first"));
trialsSPK = trialsSpike(find(tIndex, 15, "first"));
spkR... |
6b2a257cb232a54179b436d76a0b32cdbc111a286215441f8587d3cef7ba8c99 | MATLAB | 1,895 | 62 | function [Rnodes,Lnodes]=Adjust_Brain_Pos_for_Vis(meshL,meshR,params,side,ctx)
%
% This function takes as inputs the meshes for the 2 hemispheres, along
% with the inflation and perspective information for plotting.
% The function positions the meshes for ideal visualizations.
%% Parameters and Initialization
if ~isfi... |
fa21e3452fe09b40c6a89c0b9d6ffecb87a60833eec7b795e866cde8b71b3e10 | MATLAB | 1,895 | 93 | function updateISIPlot(self,~,~)
if self.verbosity > 9
disp(mfilename)
end
% first clear all data
for i = 1:length(self.handles.isi_plot)
self.handles.isi_plot(i).XData = NaN;
self.handles.isi_plot(i).YData = NaN;
end
channel = self.channel_to_work_with;
if isempty(channel)
return
end
nerve = self.common.data... |
68d49e3bbee3c29c5d6c0dc091b2dc3c0d2ad9e77910e0cadf2146be20a6bf5e | MATLAB | 1,896 | 84 | function [posterior,suffStat] = VBA_UNLtemp(y,posterior,suffStat,dim,u,options)
% VB update of the inverse tempterature of un-normalized likelihoods
if options.DisplayWin % Display progress
try
STR = 'VB update of the temperature hyperparameter... ';
set(options.display.hm(1),'string',STR);
... |
b4558dbee030a5b37118f6b942eb6953087afbea5681eac9e79d6e49e0bdce72 | MATLAB | 1,896 | 39 | %calculate whether the events are significant, based on shuffles
function scored_replay=replay_significance(scored_replay, shuffle_type)
%extracts the replay event's p value by comparing the replay score with the distrbution of shuffled scores
%
%scored_replay is a variable of replay scores,
%shuffle_type is a vari... |
4186a407ff36562d04d173c3f4bf2ea2e7aca10d513212b4d783c1af1b9e1097 | MATLAB | 1,897 | 66 | function NNintrospect(self, src, event)
if nargin == 3
switch event.EventName
case 'Close'
delete(self.handles.NNdata_inspector)
return
case 'WindowMousePress'
p = get(self.handles.NNdata_inspector_ax,'CurrentPoint');
return
end
end
if isempty(self.channel_to_work_with)
return
else
channel = self.cha... |
aa474ad0a7590281e51a0ff2e6b2ec32255413f49729e1a52501133f11decfa1 | MATLAB | 1,897 | 72 | function v=eeg_forward_3sphere(x,fp);
% usage: potential=eeg_forward_3sphere(dips,forwpar);
% makes forward calculation for EEG in 3-shell spherical volume
% conductors
% dips is an Nx6 matrix; the first 3 columns denote locations
% of N dipoles, and the last three columns the moments (in nAm)
% distances a... |
835c8abb079b7275f23b0d3718935f13a458cad7b9f91b83f1180cb3905bd2d4 | MATLAB | 1,898 | 66 | function [header] = read_ahdf5_hdr(datafile)
%read header
if nargin ~= 1
ft_error('Wrong number of input arguments');
end
if ~isempty(datafile),
id = h5readatt(datafile, '/', 'id');
if ~strcmp(id, 'AnyWave')
ft_error('This is not the ahf5 format.');
end
ch = h5read(datafile, '/channels');
typ... |
2d806884de972de323482517948d85da10ee46f3bdea43cab7efed8e37d8d016 | MATLAB | 1,899 | 49 | function [vi,ind] = interp_vel(V,n,s1,s2,s3,h)
%% returns interpolated velocity value v1 = V(s1,s2,s3)
% where s1 = row index, s2 = col index, s3 = depth index
% interp_vel(u,n,xi,xj,xk) == [interp3(par.Yc,par.Xc,par.Zc,ux,xj,xi,xk),interp3(par.Yc,par.Xc,par.Zc,uy,xj,xi,xk),interp3(par.Yc,par.Xc,par.Zc,uz,xj,xi,xk)]
% ... |
3cdd395fc99e3be3f59665492f5470a15586bc21edb9b9096cff28166ae638ad | MATLAB | 1,899 | 64 | function som=integ2d(mat,x,y);
%INTEG2D Approximate 2-D integral.
% SOM=INTEG2D(MAT,X,Y) approximates the 2-D integral of
% matrix MAT according to abscissa X and ordinate Y.
%
% MAT : MxN matrix to be integrated
% X : N-row-vector indicating the abscissa integration path
% (default : 1:N)
% Y : M-column-vec... |
ac924e1772014fe8a3694e655df5e5f4fa51793c04b51dcb937111c4652d7265 | MATLAB | 1,899 | 49 | function O_error=bspline_registration_image(O_grid,sizes,Spacing,I1,I2,type)
% Function Registration_image. This function will create
% an small registration error image after b-spline non-rigid registration
% of two images / volumes.
%
% Ierror=bspline_registration_image(grid,sizes,I1,I2,type);
%
% inputs,
% ... |
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