sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
43560779866096bdb5da413aaa91f8edba65572a601fc0f2acee3e8245385ae6 | MATLAB | 1,820 | 73 | function [OutputArray]=String2Array_Fixed(varargin)
Delimiters=[];
StartCap=[];
EndCap=[];
switch nargin
case 1
InputString=varargin{1};
case 2
InputString=varargin{1};
Delimiters=varargin{2};
case 3
InputString=varargin{1};
... |
652a269ec798f8275fa0839a9e5c5b95032b8429911a59564a70240e0322574b | MATLAB | 1,820 | 46 | function [msdx msdy stddev maddev ] = velthresh(vel)
% VELTHRESH - compute median-based standard deviation (SD) estimators
% of velocity time series
%
%-------------------------------------------------------------------
% INPUT:
%
% vel: n-by-2 matrix with hor. [vel(:,1)] and vert. [vel(:,2)] eye velocity
%
% ... |
c94376440b8f51d9d83f55f498e1939e550ef07538980ee248b6975165e675e5 | MATLAB | 1,820 | 40 | function [s, cfg] = ft_statfun_mean(cfg, dat, design)
% FT_STATFUN_MEAN computes the mean over all replications for each of the
% observations (i.e. channel-time-frequency points or voxels).
%
% This function does not depend on the experimental design and cannot be used for any
% statistical testing. However, it serve... |
07ff870eaf2efb60e1f99212dde4f6d013ee6ac976270560292d1dfdb2569fe2 | MATLAB | 1,821 | 39 | for q =1
[Z_score]=xlsread('Test',q,'U:U'); %start point of the particular behavioral state
[time]=xlsread('Test',q,'T:T'); %end point of the behavioral state
[Object_exploration_start]=xlsread('Test',q,'A:A'); %start time point of object or neutral zone exploration (list of object exploration start and end times... |
2b8d4896ab0ed90b2d7f418938f609da794920cad4075b4e003a9955e92b4bd1 | MATLAB | 1,821 | 68 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
%% other preprocessing wrapper script
% --> ENG preprocessing
clear; clc
delete(gcp('nocreate')) % clear parallel pool
%% variables that need to be changed
% loop
loop_number = 1
% subject, condition, and block info
subject_idx = [];
condition_idx = [];
%% define var... |
80e41d036978480422c6ab5bfdcaa1d1e88d6e71aa0e64709afae111a354e362 | MATLAB | 1,822 | 66 | function img = makeRadialCheckerboardGradient(pixelsPerDegree, sz, phase, contrast, thetaCycles, E, A, b, gradientAngle, bgContrast)
%
% img = makeRadialCheckerboard(pixelsPerDegree, sz, phase, contrast, thetaCycles, E, A, b, gradientAngle, bgContrast)
%
% Schira 2007 J Neurophys:
% M = 19.2./(abs(grid) + .77);
% plot(... |
d789bce6a49463255176ccfd00d28c5b2b84e4bad4a9ebc370c66fee3bcea1aa | MATLAB | 1,822 | 63 |
% clear all
close all
clear variables
% class frequencies:
nk = 3; % number of classes
p = 2; % dimension of the feature space
n = 4e2; % sample size
K = 32;ceil(n/2); % max number of classes
%-- Generate n samples from a mixture of p-dimensional gaussians (MoG)
mu = 1e3+ 1e3*randn(p,nk); % class means
gamma= 1e5*o... |
3eeb17172e6d24c3d2bcd668be8275fc712532a123df2fc113296e9e5095ad11 | MATLAB | 1,823 | 57 | function model = treegmCreate(G, nodePot, edgePot, nodePotNdx, edgePotNdx, ...
localCPDs, localCPDpointers)
% Create a tree-structured graphical model
% We assume all nodes are discrete and have the same number of states.
% G is sparse adjacency matrix
% nodePot(:,n) is potential for node of type n
% edgePot(:,:,e) i... |
c70d05b45521eff618a525298e6e74ada2d24b637ee11fa288145a28749f4b27 | MATLAB | 1,823 | 61 |
clear
% close all
Monkey = ['Monkey1']; % ['Monkey1' or 'Monkey2']
Base = ['PER_ON'];
Align = ['PER_ON_long'] ;
switch Monkey
case 'Monkey1'
load(['TEST_SpettroXCHANNELS_SD_base_' Base '_' Align '_B2b.mat'])
C_lim=[-.40 .02];
case 'Monkey2'
load(['TEST_SpettroXCHANNELS_SD_base_' Ba... |
cf2dcd5319d7ffc8e999f19eec643a478be54d7ea28ced18f1caaed897bbcebd | MATLAB | 1,823 | 64 | %% Demo of simulated annealing on a 2D function
% The so-called "six-hump camelback" function has several local minima
% in the range -3<=x<=3 and -2<=y<=2. It has two global minima, namely
% f(-0.0898,0.7126) = f(0.0898,-0.7126) = -1.0316.
% This file is from pmtk3.googlecode.com
%PMTKauthor Joachim Va... |
48a09748b289ec54b81433e61c68af04eff1ca1b609ebdb6b0cdb2a2998319d9 | MATLAB | 1,825 | 73 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
%% SRMR1: ESG preprocessing - wrapper script
clear; clc
%% variables that need to be changed
% loop
loop_number = 8
% subject index
subject_idx = [];
%% define variables and paths
% experiment
srmr_nr = 1;
% conditions
if loop_number < 3
conditions = 1:3;
el... |
4f6181f498165a2fa64d7d5b7e6ee9d845b2063d604f10b3350ab660fce0c81f | MATLAB | 1,825 | 44 | function [S] = SAttenuation(opt,MSD,PathwaySignalFirstOrder,PathwaySignalHigherOrder,GwaveFirstOrder,GwaveHigherOrder,TransFirstOrder,TransHigherOrder);
%%
%Calulate exponential decay term E1
E1=exp(-opt.TR/opt.T1);
%%
%Calculate temporal spacing
dt=(opt.TR*10^-3/opt.SpectraResolution);
%Convert G to G/cm
opt.G=opt.G/1... |
a606b843eee3e546a8c0d896cd6e79bd92f3406a2b0e5e6ea2c18504f439e035 | MATLAB | 1,826 | 25 | function p = sorw_GetSimulationParam(start_pos,L,A,shape,w,alpha,xi,nu,food_site,stopAtFood,delta_model,pmin,can_go_back)
% .start_pos: 'N', 'S','W','E' -- starting position of mouse
% .L: [width,height] of the arena
% .A: adjacency matrix where each entry A(i,j) is the step probability between sites j->i (this i... |
be4ccd0c4dbab8ff7b45feeacde4c5610e450e07f3706ef89d2d8a06c51b024d | MATLAB | 1,826 | 44 | %Purpose: Implement Hungarian Matching Algorithm for MSHBM and k-means parcellations
%parcellations.
%Inputs: MSHBM and k-means parcellations (run directly following
%parcellation BEFORE visualization)
%Outputs: Individual parcellations with matched values (e.g., network 1 is the same across parcellation methods.
%
%... |
d1bfc28843c74d6422f203939313555caee717b592dc04c557012e651a111793 | MATLAB | 1,826 | 56 | function x=klauder(N,lambda,f0)
%KLAUDER Klauder wavelet in time domain.
% X=KLAUDER(N,LAMBDA,F0) generates the KLAUDER wavelet
% in the time domain
% K(f) = e^{-2.pi.LAMBA.f} f^{2.pi.LAMBDA.F0-1/2}
%
% N : number of points in time
% LAMBDA : attenuation factor or the envelope (default : 10)
% F0 : centra... |
6e4314c822d34377f4c146b45f877591b7576ee1de29207907a36c1e085908cb | MATLAB | 1,827 | 46 | function [parameters] = saveVelocities(parameters)
% Give parameters their original names
k = parameters.k;
wheel_Hz = parameters.wheel_Hz;
fps = parameters.fps;
channelNumber = parameters.channelNumber;
skip = parameters.skip;
frames = parameters.frames;
trial = parameters.trial;
... |
7cab39672cb9903ff75e20b767148ab85206977399db808f664e3eccae970bfb | MATLAB | 1,827 | 50 | load('INS_dataStore_MkX.mat')
[animalnames,iA,iC] = unique(INSDataTable(:,1));
JPSTHCell = cell(1,length(animalnames));
for ii = 1:length(animalnames)
JPSTHCell{ii} = animalnames(ii);
end
pointer = 1;
% while pointer<length(iC)
nameList = INSDataTable(:,1);
for ck = 1:length(JPSTHCell)
searchWin = JPSTHCell{ck}... |
b102e896f253d9f8297450ab71ba17dd384585edfafc55b721a58207aa940f26 | MATLAB | 1,827 | 58 | function dzt=zak(sig,N,M)
%ZAK Zak transform.
% DZT=ZAK(SIG,N,M) computes the Zak transform of signal SIG.
%
% SIG : Signal to be analysed (length(X)=N1).
% N : number of Zak coefficients in time (N1 must be a multiple
% of N) (default : closest integer towards sqrt(N1)).
% M : number of Zak coeffi... |
c30dff9d80a42222eb0272a3cb145e9dbc5add85f5eef63b7f0058687d86124c | MATLAB | 1,827 | 76 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% analyze data from current file
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
str = char(Out{1,1}(5));
Nstr = length(str);
for i = 1:Nstr
switch str(i)
case '['
i0 = i;
case ','
i1 ... |
fe6eef6118b1413901c5bbce3f442a273b74041b46386a54d9009b48caed72a8 | MATLAB | 1,827 | 86 | function nX=normal(X,direction,criterion)
% normal - normalize the data
% nx=normal(X,direction,criterion)
%
% [Input]
% -X: data
% -direction: normalized dimension (default=1)
% -1:mean of each column become 0
% -2:mean of each row become 0
% -criterion: baseline (default='min')
% set ... to 0
% ... |
0fa245d518e8d3e875f23941537a55045d480ceac336178abf9f41c9b9a06b08 | MATLAB | 1,828 | 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,... |
0ffcc9ba96a71fe1e53df3e2f38c445067d12f8c753cfef55205fb8e4f45c6eb | MATLAB | 1,828 | 91 | function [fx,dF_dX,dF_dTheta] = f_dcm4fmri(Xt,Theta,ut,inF)
% nonlinear DCM evolution function
% function [fx,dF_dX,dF_dTheta] = f_dcm4fmri(Xt,Theta,ut,inF)
% This function evaluates the evolution function of the neuronal states of
% a nonlinear DCM for fMRI model.
deltat = inF.deltat;
n = size(Xt,1);
[dxdt,J,dfdp] =... |
40b3728902ffd6d9cd1a2eafb6e0e49e47f9fd4e2b528113395e87d7bd059a15 | MATLAB | 1,828 | 51 | function gmodel = initGaussModelFlicker(sta, cellspikes, stiminfo, orderfit, ...
spx, spy, ktbas, stascale)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
stixelsForFit = 10 * stascale;
rfac = 10 * 1.4826;
[ypix, xpix, Nt] = size(sta);
[~, imax] = max(abs(sta(:)));
[y0, x0, t0... |
d887d7f7a268dc6e5f8925310e9c3cbe9312b34a042a8ae092233693d89116f8 | MATLAB | 1,828 | 65 | function varargout = compileAndRun(fname,varargin)
% Compile a Matlab function via emlmex and then run the compiled version.
% The function must reside in its own file and be eml compliant. See the
% help sections on emlmex for details.
%
% fname - the string name of the function
% varargin - arguments to the com... |
e7faf4ae6fe06db52d71da2af92716e16be4f1f576c7d01b2fcc20afa4342b9a | MATLAB | 1,828 | 57 | function [innermost, inside] = find_innermost_boundary(bnd)
% FIND_INNERMOST_BOUNDARY locates innermost compartment of a BEM model
% by looking at the containment of the triangular meshes describing
% the surface boundaries
%
% [innermost] = find_innermost_boundary(bnd)
%
% with the boundaries described by a struct a... |
505e76fcbaa11068d3412fcc953939e139ca0f6be6fd1bde6bcf66170f797785 | MATLAB | 1,829 | 61 | function LAN = lan_load_ref(LAN,REF)
if nargin ==1
[FileName,PathName,FilterIndex] = uigetfile({'*.lanref','lan ref-file'; '*.mat','MATLAB mat'},'open lan ref - file','LAN.lanref');
if isequal(FileName,0) || isequal(PathName,0)
disp('User selected Cancel')
... |
6b23436bf4797e35dfa6f76036e5b9c313ad9860494c1174d4885e1da43240eb | MATLAB | 1,829 | 57 |
close all
clear all
clc
% ****************check these parameters before running********************
fc = [300 5000]; % cutoff frequency for band-pass filter
ampthresh = 1; % amplitude threshold for waveform after adaptive filter,
% adjust this parameter based on figure... |
79ad2257f385c0aa78df3b353b044365c0fb2f017b7ac1abbb8b35a5f08374ea | MATLAB | 1,829 | 48 | function mni_coords = CBIG_RF_fsaverageVertex2MNICoord(hemi, vertices)
% mni_coords = CBIG_RF_fsaverageVertex2MNICoord(hemi, vertices)
%
% This function takes in a vertex number or a list of vertex numbers, to convert to the
% corresponding RAS coordiantes in MNI152 space.
%
% Note that this conversion uses the MNI152... |
afdb75aeeba9b324731f877db82b5d5eadd9441b0e6335fe8c30526e4f9960a6 | MATLAB | 1,829 | 44 | function [pValue,df,tStat] = pairedTforMeansSEM(data1,data2,SE1,SE2)
% perform paired t-test on pairs of \mu \pm s.e.
% Example paired data and standard errors
%
% history. chatGPT3.5 provided this in response to Daniel Wolpert's
% conversation: three promtpts
% 1. is there a weighted t test
% 2. how can i do it in ma... |
baf96a8143acc47757f09092c80e4741862b01451f4548621e27b87de83f4ee9 | MATLAB | 1,829 | 46 | function test_avi_reading()
% Test that reading frames from a .avi movie is order-independent: a frame read
% out of order must return the same pixels as the same frame read in order.
% get_readframe_fcn reads .avi via VideoReader, which may preload or cache to
% speed out-of-order reads, so a frame's content must not ... |
ea8f70fda1509be92b5f1ec3025e686e88cc701f639201e539def7b1bf8b196e | MATLAB | 1,829 | 66 | function [psig, lb, ub] = p_bt_voxelwise(w_boot, CI, plot)
% for each voxel: obtain confidence intervals for each voxel (separately)
% based on sorting the bootstrapped coefficients
%%% Input parameters
% w_boot voxelwise coefficients from models with bootstrapped data
% CI confidence intervals that should ... |
f3bdae88da17fb31abeab7c4f806fd3b388be9972994ba47bb5d652a0eee9ad2 | MATLAB | 1,829 | 65 | function surf_to_tetgen(filename, nodes, elements, element_types, attributes_nodes,attributes_elements)
% This function converts a triangulated mesh in FieldTrip format into a
% surface structure readable by Tetgen software
% Copyright Arno Jannsen, 2011
%Write the node file
node_filename = [filename '.node'];
precis... |
8f8788c1173176c23a3e3a5bab3ad55dfea510b95d0aea024c7bd4248dd1ab00 | MATLAB | 1,830 | 64 | function [ newevent, error ] = wlProc_fitFreqPhase( ...
hilfreq, hilphase, oldevent)
% function [ newevent, error ] = wlProc_fitFreqPhase( ...
% hilfreq, hilphase, oldevent)
%
% This function estimates oscillatory burst frequency and phase by curve
% fitting. Linear and logarithmic fits are performed, and the vers... |
fc874429922d8386d4ae8991825db786a031edc2d3e629a94c8791736f8890cf | MATLAB | 1,830 | 51 | %% quicksdo
%
% A function to quickly get the SDO matrix (and covariance matrix) from a
% prespike and postspike distribution, without the full SDO script. This
% provides one variant of a matrix which satisfies the least-squares fit
% between prespike-->postspike, but often subpar.
%
% Uses the V3 algorithm.
... |
80fa3d7b76a05ffa819857c379d77a3c266b109214a14328f26ddfb6dbd91ab5 | MATLAB | 1,831 | 59 | function [h, he, vline, hline] = plotCVcurve(lambdas, cvMeanErrors, cvStdErrors, lambdaBest, useLogScale, hline)
% Plot a cross validation curve with error bars.
% This is just a pretty version of the built in errorbars function.
%
% lambdas - the parameter values, e.g. regularization coeffs.
% cvMeanErrors - th... |
94f86fa8f45b1d90f0f3e13beeeecccf4671cbb60c5c0481721297d2cc094ecc | MATLAB | 1,831 | 53 | %%
% ================= PARTICIPANT MEAN REACTION TIME =================
%%
clear all; close all; clc;
%%
mean_rt = {};
idx=1;
for s = 1:21
if s < 10
sub = strcat('P0',num2str(s));
else
sub = strcat('P',num2str(s));
end
dir_files = strcat('F:\SEM_mri_rawdata... |
95e46dff519ad548edc9d1a02d9a1f882578035a847f975f47b474229d8387bf | MATLAB | 1,832 | 69 | %% Test to see if Newcomb's speed of light data is Gaussian
% Similar to Gelman04 p77, except we use a plug-in approximation
% See newcomb.m for the Bayesian version
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
% Data from http://www.stat.columbia.edu/~gelman/book/data/light.asc
D = [28 26 33 24 34 -44 27... |
1142f3938b3feaab0ffb219cd4f3af077665f9e27f8a57071a03729e5f441874 | MATLAB | 1,833 | 43 | %% reproducability analyses using Randy's split_half_PLS_TestTrain.m
filename_modifier = "age_plus_cattell";
file_prefixes = [ "SC_age_CattellTotal_1000_its_594_subs_0_to_150_age_range";
"SC_le_age_CattellTotal_1000_its_244_subs_0_to_50_age_range";
"SC_le_age_CattellTotal_100... |
588f120d6d2b9104033fe1afa35675c5ff98e02742cf5991d4081dbcec41e848 | MATLAB | 1,833 | 48 | function order = surface_nesting(bnd, desired)
% SURFACE_NESTING determines what the order of multiple boundaries is to
% get them sorted with the innermost or outermost surface first
%
% Note that it does not check for intersections and may fail for
% intersecting surfaces.
numboundaries = numel(bnd);
% determine t... |
d5060a821a7c85ede247007db7fd569d15131ba53f7b660f380e188cc3045386 | MATLAB | 1,833 | 62 | function [varargout] = write_ctf_shm(varargin)
% WRITE_CTF_SHM writes metainformation and data as a packet to shared memory.
% This function can be used for real-time processing of data while it is
% being acquired.
%
% Use as
% write_ctf_shm(msgType, msgId, sampleNumber, numSamples, numChannels, data);
%
% See also... |
767a1ed86ee24b8dfd57e1147a6761eb1b97a75caf9087b3593a5afb8484747e | MATLAB | 1,834 | 54 | function [A2, C2, A2_BG, C2_BG] = component_split_with_background(A, C, A_BG, C_BG, shape, minSize, maxSize)
% [A2, C2, A2_BG, C2_BG] = component_split_with_background(A, C, A_BG, C_BG, shape, minSize, maxSize)
% Splits ROIs into connected components
if(nargin<7)
maxSize = Inf;
end
if(n... |
bbae001600352484fa27e4ee52edfaf226b2da5efb5822c687d4c041128c9d93 | MATLAB | 1,834 | 75 | function m = mfiles(source, varargin)
% List all mfiles in the specified directory structure
%
%% Optional Inputs
% 'topOnly' - if true, (default = false), do not descend into
% subdirectories
%
% 'removeExt' - if true, (default = false) remove the '.m' extensions
%
% 'useFullPath' - if true, (defaul... |
f40b3bfe9c8f12efc1a803108a9a940ce087011d5a50023112d40a5f81614dd7 | MATLAB | 1,834 | 45 |
% SCEs
[pyrInSCE,intInSCE] = extract_variables ('SCE','cellsInSCE',resultsPath, 'pyr', 'int',conditionType,conditionValue);
[pyr_id,int_id] = extract_variables ('nCells',[],resultsPath, 'pyr', 'int',conditionType,conditionValue);
for recCounter = 1:size(pyrInSCE,2)
data1_mdn(recCounter) = length(pyrInSCE{recCounte... |
2e49fe2bed769930805ff738743579388079fd7db2986eaec2c424e7c1f788dd | MATLAB | 1,835 | 49 | % FT_POSTAMBLE_TRACKCONFIG is a helper script that calls ft_checkconfig to switch the
% optional configuration tracking off and to report on the used and unused options
% and/or clean up the output cfg structure. This should be used together with
% FT_PREAMBLE_TRACKCONFIG.
%
% Use as
% ft_preamble trackconfig
% ...... |
673dc63daccb2762b919a2eb9c09b65bebe55d8ff702db6fafc933a3bca3b5b4 | MATLAB | 1,835 | 36 | function test_DeepTrackerTopDown_twining()
linux_project_file_path = '/groups/branson/bransonlab/apt/unittest/four-points-testing-2025-04-11-with-rois-added-and-fewer-smaller-avi-movies-lightly-trained-2-stages.lbl' ;
[project_file_path, replace_path] = localize_test_project_path(linux_project_file_path) ;
[la... |
41c7d81668385d50a7b707087017892c201b4db5f10b27f1886b85914da62552 | MATLAB | 1,836 | 39 | function [good_color_samples, good_color_dists] = mahalanobis_color_sampler(object_type, color_data, num_samples, threshold)
% This function generates randome samples from a multivaraite Gaussian
% distribution of RGB values which satify a condition on the Mahalanobis
% distance from the color distributions and are wi... |
38df018cb7856a4b14e5e35f80a8805ac2739a671aee3016df9d0f2d58705621 | MATLAB | 1,837 | 73 | classdef WaitBarWithCancelCmdline < handle
% Dummy waitbar cmdline only
properties
isCancel = false;
cancelData = [];
% Stack of running contexts. contexts(end) is the top of the stack.
contexts = WaitBarWithCancelContext.empty(0,1)
end
methods
function obj = WaitBarWithCancelCmdlin... |
4afecdafeb72f0ddc461650a0248b5f6c35dc3bf78f2be4b4fac9b1d836566c8 | MATLAB | 1,837 | 35 | function [params, doc_log_likelihood, q] = CBIG_EM_doc_e_step(w, paradigm, params)
% [params, doc_log_likelihood, q] = CBIG_EM_doc_e_step(w, paradigm, params)
%
% Perform E-step of the Author-Topic model on each experiment (document). Note that
% compared to CBIG_EM_doc_e_step_wc.m, this function takes in an argument... |
74257a7b38bef91f9f0a590bab5841de1261d39d5e4266e9fb1733921d191687 | MATLAB | 1,837 | 64 | function [] = save_LPFFD_GEVDV(subjExtractedTimeSeries,framwiseMotionVectorOutputDir)
numSubjects = length(subjExtractedTimeSeries);
if ~exist(framwiseMotionVectorOutputDir, 'dir')
mkdir(framwiseMotionVectorOutputDir); pause(eps); drawnow;
end
for i = 1:numSubjects
thisSubj = s... |
2149d5902b32c1db305a757f4a9d3b4655d7111e34901969014a49f738e99f89 | MATLAB | 1,838 | 36 | % Geometric distortions correction - apply topup script
% Participants data
data = dir('/DATAPOOL/ERRORMONITORING/SEM_mri_data/P*');
directions = '/DATAPOOL/ERRORMONITORING/SEM_mri_data/datain.txt';
%%
for i = 1:size(data,1)
data_func = dir([data(i).folder, '/', data(i).name, '/mri/SEM_', data(i).name, '/ni... |
903c078d0021d9584a771f5178402cb0a61522896ffd70d6929580ecfdbf51bf | MATLAB | 1,838 | 59 | % demo for RFT simulations
clear all
close all
clc
%--- RFT: specificity
L = 2e3; % size of the 1D field
%N = 1e3; % number of Monte-Carlo simulations
N = 100;
fprintf( 'WARNING: this is a demo! The number of Monte-Carlo simulation should largely be increased (N~1000) for real simulations\n')
disp_and_verbose = 1;
... |
a642c7519a383382761e69dcd26984bc0a31c9aa74f9664acd411150aec81188 | MATLAB | 1,838 | 89 | %LOADPGM Load a PGM image
%
% I = loadpgm(filename)
%
% Returns a matrix containing the image loaded from the PGM format
% file filename. Handles ASCII (P2) and binary (P5) PGM file formats.
%
% If the filename has no extension, and open fails, a '.pgm' will
% be appended.
%
%
% Copyright (c) Peter Corke, 1999 Machin... |
beaa05f1efd496f1c9cc103b05b7543b96a78cdd675a7c0babfbc8019eb3a697 | MATLAB | 1,838 | 62 | function dgm = dgmFit(X, varargin)
%% Fit structure and parameters of a DGM
%
% X is an N*D matrix of binary (0/1) values
%
% We use the L1MB+local search algorithm to find the structure
% This uses L1-penalized logistic regression to fit the model.
% See http://www.cs.ubc.ca/~murphyk/Software/DAGlearn/index.html
%
% W... |
d374bf41ecb3b5ef6f63b9b7887a691bcde63a3927f16db272c47305fe863aa0 | MATLAB | 1,838 | 68 | function model = svmQPclassifFit(X, y, C, kernelParam, kernelFn)
% Support vector machine binary classification
% y will be converted to a column vector of -1,+1
% PMTKauthor Steve Gunn
% PMTKurl http://www.isis.ecs.soton.ac.uk/resources/svminfo/
% PMTKmodified Kevin Murphy
% PMTKneedsOptimToolbox
%%
% This file is fr... |
3fe4185007c6716de5205d31f5bd6105bc5941f11da43bdeaa727b99a55f04aa | MATLAB | 1,839 | 62 | function [varargout] = write_ctf_shm(varargin)
% WRITE_CTF_SHM writes metainformation and data as a packet to shared memory.
% This function can be used for real-time processing of data while it is
% being acquired.
%
% Use as
% write_ctf_shm(msgType, msgId, sampleNumber, numSamples, numChannels, data);
%
% See also... |
69ce963d3be28254bb7e32c5b04b0a2c1aa73501a9d378a01955a924bd86aef6 | MATLAB | 1,840 | 64 | %% dlyap
%
% Solve discrete-time Lyapunov equation by Schur decomposition
%
% <matlab:open('dlyap.m') code>
%
%% Syntax
%
% X = dlyap(A,Q)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% A square matrix with spectral radius < 1
% Q s... |
55a09ddec3d690c0ba7ff13700bfd9eeb8e91b6ec850913565bc7da7b907a7c8 | MATLAB | 1,841 | 60 | function opt = ft_setopt(opt, key, val)
% FT_SETOPT assigns a value to an configuration structure or to a cell-array
% with key-value pairs. It will overwrite the option if already present, or
% append the option if not present.
%
% Use as
% s = ft_setopt(s, key, val)
% where s is a structure or a cell-array.
%
% Se... |
ea18340ba27c13f960f5006128f980e8588cb84e1c5dc83b3fa722e677bf7bb9 | MATLAB | 1,841 | 60 | function opt = ft_setopt(opt, key, val)
% FT_SETOPT assigns a value to an configuration structure or to a cell-array
% with key-value pairs. It will overwrite the option if already present, or
% append the option if not present.
%
% Use as
% s = ft_setopt(s, key, val)
% where s is a structure or a cell array.
%
% Se... |
21da59570c16c8544af5c94336963449e710351159484bdf1bb75a8a6bc8f240 | MATLAB | 1,842 | 58 | % Load the file created by completionReport and visualize the results
function completionReport_visualize(yamlfile, compReport_file)
%Load the expResults struct
load(compReport_file);
%Use a YAML file to load the parameters for a large experiment
yamlspecs = ReadYaml(yamlfile);
%The YAML files might have extra quotes... |
45cff728e79b87bade7cf6588c26f5c6397934d5f17d41b9cdb89203b1264897 | MATLAB | 1,842 | 59 | function W0 = init_W_noise(P,W0,Y,seed)
M = 1:length(W0);
comps = size(Y{1},1);
rng(seed)
figure('color',[1 1 1],'visible','off')
for mm = M
% if mod(mm-1,8) == 0
tt = eye(size(W0{mm},1));
W0{mm} = W0{mm}+((tt)*(P*1e-2)*(rand(size(W0{mm}))-.5));
% else
% W0{mm} = W0{mm-1};
% end
... |
d12c24263cacaa6b155bcc3d7692377951330413be4a822be52b60f048d07a30 | MATLAB | 1,842 | 56 | function sig=sigmerge(x1,x2,ratio);
%SIGMERGE Add two signals with given energy ratio in dB.
% SIG=SIGMERGE(X1,X2,RATIO) adds two signals so that a given
% energy ratio expressed in deciBels is satisfied.
%
% X1, X2 : input signals.
% RATIO : Energy ratio in deciBels (default : 0 dB).
% X : output signal.
% X= X... |
e2f20abc2eb618ee11ce740683275df48b5968fc3f7abd9720f9e9aa860d50a1 | MATLAB | 1,842 | 70 | function saveinr(vol,fname,stackInfo,write_row_major)
% saveinr(vol,fname)
%
% savesmf: save a surface mesh to INR Format
% write_row_major: if true we'll write in row-major fashion otherwise in
% default col-major
%
% author: fangq (fangq<at> nmr.mgh.harvard.edu)
% date: 2009/01/04
%
% modified: Hamid Ghadyani hameed... |
e643683da068cb49d9117de51163337d71cf50adcf4d77a1c658c7c3c530a9c8 | MATLAB | 1,842 | 38 | function q = CBIG_EM_doc_inference(w, paradigm, params)
% q = CBIG_EM_doc_inference(w, paradigm, params)
%
% Update the auxillary parameter q in the E-step on each experiment (document).
% Note that compared to CBIG_EM_doc_inference_wc.m, this function takes in an argument
% w of a different structure
% FORMAT q = C... |
79401aa8979c26552e75948d56f5fcd58a06be7862ec8a54fe02b0a1b525cf59 | MATLAB | 1,843 | 60 | %% Gaussian plot with shaded tails
% Plot a standard normal distribution and shade in the left and right tails
% together representing alpha % of the probability mass.
%%
% This file is from pmtk3.googlecode.com
function quantileDemo
%scrsz = get(0,'ScreenSize');
%width = 2*scrsz(3)/3;student
%height = ... |
86723ec64020dbe92511b2ffd78c5afc50f12520b6af96c4736c7e2dbd7da08d | MATLAB | 1,844 | 72 | % This function functions like the build in MATLAB function csvwrite but
% allows a row of headers to be easily inserted
%
% known limitations
% The same limitation that apply to the data structure that exist with
% csvwrite apply in this function, notably:
% m must not be a cell array
%
% Inputs
%
% fil... |
43a16118406e667e06a5db0eaa512f256a9ad790da40ab67a21adbcc617369d6 | MATLAB | 1,845 | 82 | function [x,k,res,negCurv] = cg(A,b,optTol,maxIter,verbose,precFunc,precArgs,matrixVectFunc,matrixVectArgs)
% [x,k,res,negCurv] =
% cg(A,b,optTol,maxIter,verbose,precFunc,precArgs,matrixVectFunc,matrixVect
% Args)
% Linear Conjugate Gradient, where optionally we use
% - preconditioner on vector v with precFunc(v,p... |
7ddd8e08c3206b030e0bbe93ba438d715e6ab3556153ddefce59750814260ce3 | MATLAB | 1,845 | 58 | % SRMR1-script:
% edit('/data/pt_02068/analysis/final/scripts/SRMR1_02_eeg_prepro_appendedBlocks.m')
%% EEG 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, condi... |
7f3e2ef59250d717221767bf8c35ad8bce3517be24173f979c1fbe9a9f9e4bcd | MATLAB | 1,845 | 73 | %% Visualize fitting a mixture of Gaussians to the old faithful dataset
% reproduce Bishop fig 9.8
%%
% This file is from pmtk3.googlecode.com
function mixGaussDemo2d
setSeed(0);
K = 2;
dataset = 'heightWeight';
if strcmp(dataset, 'faithful')
X = loadData('faithful');
X = standardizeCols(X);
maxIter = ... |
955ff3ccfe83927935b5d0459c15ac33e61cafe0d9989f9c0625cb541bba0b42 | MATLAB | 1,845 | 69 | %% plot_tsdata
%
% Time series data plotting utility
%
% <matlab:open('plot_tsdata.m') code>
%
%% Syntax
%
% plot_tsdata(X,leg,dt,trange)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% X multi-trial time series data
% leg cell vector ... |
d3620ccf078c6ce387d90d4c65860b7ecf6c85b5e2a954b2ddfe1a7154f200cf | MATLAB | 1,845 | 70 | function [s1] = scatJit(vec, jitFactor, col, circleSize, color)
% Takes a vector and plots it as a jittered scatter around value col
% Adam Claridge-Chang 20120411. Improved to modify jitter based on the
% histogram
% Adam Claridge-Chang 20120413 Further edited to use the bin
% information to spread out the data even... |
32e1b8194069818c3079a69766cacc4cfe3dc7cacd42a97ea11869378dc43d94 | MATLAB | 1,846 | 81 | function [hi,px,gx,x] = plotGraph3D(px,gx,x,ha,va,norm)
% plot image as a map in 3D
% function [hi] = plotGraph3D(px,gx,x,ha,va)
% IN:
% - px: the pxn image to plot
% - gx: the nX1 grid on the first dimension of px
% - x: a 1Xp trajectory to plot onto the 3D surface
% - ha: the handle of the parent axes
% - v... |
3de376da0b82ed2faf231e48024f133ccd6cdbc94ad9282407547ed8b191ee89 | MATLAB | 1,846 | 55 | %% NBS FOR LOOP run per frequency band and contrast for t-threshold values of 0.05 uptil 4.6
%STEP 1: Start NBS
%STEP 2: Select design matrix, frequency band datamatrix and contrats of choice
%STEP 3: Set the t-threshold to the lowest value of 0.05
%STEP 4: Run NBS
%STEP 5: Save NBS result under any name using the... |
90adb72432d0485e18c51cd81d44a1dc1cade645f94e9c55e88ad3daaa190d85 | MATLAB | 1,846 | 55 | function Y = cell2array( X, padEl )
% Flattens a cell array of regular arrays into a regular array.
%
% Each element of X must be a regular array, and must have the same number
% of dimensions k. Converts X to an array Y of dimension k+1 where
% Y(:,:...,:,i) is X{i} padded to be as big as the biggest element in X
% (... |
a274562dcfe77379bdf09acc5db76045a5171cf456baa1bdbadffb69669ffaee | MATLAB | 1,846 | 54 | function h = errorBarERP(EEG, elecToPlot, varargin)
% function h = errorBarERP(EEG, elecToPlot, varargin)
% use errorBarPlot on a subset of electrodes from EEG data (after epoching)
% Inputs: EEG = eeglab structure after epoching
% elecToPlot = cell array of channel names to plot
% varargin: 'NAME... |
bbe4e908afaf492e4403fada0338faaa7cf31388af973f2eae9fbcab0e03e45e | MATLAB | 1,846 | 56 | classdef ToyTracker < handle
methods
function trx = track(obj,trx,lpos,iPt,frm0,frm1) %#ok<INUSD,INUSL>
% trx (input): current/existing trx (ignored for this tracker)
% lpos: current labels (labeledpos): npts x 2 x nFrm x nTgt (expect
% labels only for first target)
% iPt: desired pt(s)... |
dc7cf0b6e26dbbe7ab2d59794d377d2389d8fadf003a3dbfd22f45fe7c554939 | MATLAB | 1,846 | 59 | %% Logistic Regression with RBF Basis
% based on Bishop fig 4.12
%
%% Parameters
% This file is from pmtk3.googlecode.com
mus = [0 0; -1 -1; 1 1];
sigma = 0.05;
N = 100;
pi = normalize(ones(1, 3));
centres = [-1 -1; 0 0];
sigmaRbf = 1;
lambda = 0;
addOnes = true;
%% Generate some data from ... |
bb86de3bdf7c8ad4fb53e05a7404f37e4c54ad827c3f956035e397ef95f61e39 | MATLAB | 1,847 | 46 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% The script prepares the design.mat and design.con files needed to run %
% FSL randomise
%
% (1)https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/GLM#Single-Group_Average_with_Additional_Covariate
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
3dc294d1e11b5b5b0d57d7ce21d1b1690dc7b0c9cc72ab0034a71684c8cd3cd5 | MATLAB | 1,848 | 67 | function I_s = create_synapse_seg_mask(CC_combo,buffer,upperlim,xystep,zstep,imsize)
%Creates mask for segmenting synapses by adding bounding boxes around connected components.
%Excludes objects over the size limit
vol = regionprops3(CC_combo, 'Volume');
% sortedVol = sort([vol.Volume], 'descend');
% tokeep = sortedVo... |
6f5ef2bbfa6921318932890b7f5a1f2571feb87cce2fa51808aa87bfd72a7cd1 | MATLAB | 1,850 | 65 | function u = nvecs(X,n,r,opts)
%NVECS Compute the leading mode-n vectors for a ktensor.
%
% U = NVECS(X,n,r) computes the r leading eigenvalues of Xn*Xn'
% (where Xn is the mode-n matricization of X), which provides
% information about the mode-n fibers. In two-dimensions, the r
% leading mode-1 vectors are the... |
7e40b40af6596d15593e6fc09a2ed79ec6673a979b56015449702060f33437b5 | MATLAB | 1,851 | 81 | %% Learn a sparse dictionary from image patches
%PMTKauthor Julien Mairal
%PMTKmodified Kevin Murphy
% Needs SPAMS, available from http://www.di.ens.fr/willow/SPAMS/
% This file is from pmtk3.googlecode.com
%PMTKslow
clear all;
methods = {'SPCA1', 'SPCA2', 'SC', 'PCA', 'NMF'};
%methods = {'SC'};
p=64; % number of b... |
b13c8e38273ad84dd69945b08996a3d4715b30d67e6afd5b2379b85ca65f9deb | MATLAB | 1,851 | 68 | %% Compare SVM and kernelized logreg on synthetic 2 class data in 2d
% This file is from pmtk3.googlecode.com
%PMTKbroken
%% Load Data
% Load synthetic data generated from a mixture of 2 Gaussians. Source:
% http://research.microsoft.com/~cmbishop/PRML/webdatasets/datasets.htm
%
if ~svmInstalled
fprintf('cann... |
0e702f8e678e2416770413ce3d5e48a74888de2f30b4464bd249b47d00a22545 | MATLAB | 1,852 | 50 | % Analyse acoustic stimuli: Temporal & Spectral Power spectra
clear; clc
addpath(genpath('/brainstorm3/'));
addpath(genpath('/utils/'))
origDir ='/stim/'
brainstorm nogui
% key parameters
norm = 1; % normalize volume (1|0)
fs = 44100;
fq = .2:.2:50; % 32 cf
cd([origDir]); stim = dir('*.wav');stim = dir('*... |
21ee2a0c66488561ef73bbdb013d403d52e6e091ccb34d7235d0817215143ac3 | MATLAB | 1,854 | 30 | function [optScanner,optSample,optSSFP,optSTE,optSE] = ParameterOptionsSNR()
%%
%Scanner properties
optScanner.MaxReadout=inf; % Maximum Readout Duration (ms)
optScanner.GMax=1000; % Maximum Gradient Stength (mT/m)
optScanner.gamma=2*pi*42.58*10^6; % Gyromagn... |
2d6ef6c25f75654f9fba443c7e6e18e55daef41a95ec71d3744b356edf196f50 | MATLAB | 1,854 | 60 | % StrideSegmentationLooper.m
% Sarah West
% 7/19/23
function [parameters] = StrideSegmentationLooper(parameters)
% Inputs
% parameters.timeseries --
% parameters.time_ranges --
MessageToUser('Segmenting ', parameters);
timeseries = parameters.timeseries;
time_ranges = parameters.time_rang... |
558562210e8b9d13a42f2a436ec815f9b0aacbf4458b4fea7c90c753b0f662ed | MATLAB | 1,854 | 71 | %% Illustration of decision regions for the 3 class case
%
%%
% This file is from pmtk3.googlecode.com
domain = -3:0.01:13;
sigma = 1.5.^2;
r1 = gaussProb(domain, 0, sigma);
r2 = gaussProb(domain, 5, sigma);
r3 = gaussProb(domain, 10, sigma);
linesize = {'LineWidth',2.5};
plot(domain,r1,'-r',linesize{:});
hold on;
p... |
62be545fc4ad63e86156a49df51a12b0340a7936ef05a6ac25a27db3c10d9e59 | MATLAB | 1,854 | 44 | function [OPTIONS] = solver_options
% SOLVER_OPTIONS Defines BiCGStab solver options.
%
% [OPTIONS] = SOLVER_OPTIONS Always returns structure with default
% values of BiCGStab solver options. The OPTIONS structure have following
% entries:
% - OPTIONS.no_of_iter (default 1000)
% Maximum number of BiC... |
9cfe4a34e019f2a3672e0554a8890e1ce3c09a7092785e392a7a07f6ca135979 | MATLAB | 1,854 | 50 | function segmentation = convert_segmentationstyle(segmentation, fn, dim, style)
% CONVERT_SEGMENTATIONSTYLE is a helper function for converting between probabilistic
% and indexed representations. It is used by ft_datatype_segmentation and
% ft_datatype_parcellation.
%
% See also FIXSEGMENTATION, DETERMINE_SEGMENTATIO... |
0a1cc6216dffc0f2c60d8a3b9b860fae95fd1c5061fa4efe77742124751729e9 | MATLAB | 1,855 | 100 | % Cartoon: Single trial power vs phase consistency
%%
figure
set(gcf,'Position',[100 100 300 400])
grey = cmocean('-gray',14);
lineWidth = 1.5;
lineWidthAvg = 2;
xli = [-3.5*pi 3.5*pi];
clear y
subplot 211
figureStyle
hold on
ylabel('Power')
xlabel('Time')
yticks('')
xticks('')
xlim(xli)
ylim([-1 1])
x = -8*p... |
82118dfdb5b8ff8413e7015a969e23fe844f8087131bb255d7967c268e03b63f | MATLAB | 1,856 | 81 | function [T, A2] = mk_grid2(nrows, ncols, psucc_act, obstacle, terminal, absorb, wrap_around, noop)
% This is a simplified (non-vectorised) version of mk_grid_world
% obstacle(i,j) is assumed to be 0 or 1
N = 1; E = 2; S = 3; W = 4;
nact = 4;
nstates = nrows*ncols;
if wrap_around
rows{N} = [nrows 1:nrows-1]; cols{... |
2154cd656292144ba45615e37a72f26e89ed37e47e6e6e04cebee8bd3d510600 | MATLAB | 1,857 | 51 | function [wsvd, wt,wx] = SVDRegressB(xx,xy,wdims,ps,lambda,opts)
if (nargin >= 5) && ~isempty(lambda)
xx = xx + lambda*speye(size(xx)); % add ridge penalty to xx
end
if (nargin < 6) || isempty(opts)
opts.default = true;
end
if ~isfield(opts, 'MaxIter'); opts.MaxIter = 25; end
if ~isfield(opts, 'TolFun'); op... |
46d3e9788170757e2f6a40d9296a7e5531e1b29decdbab75eaae49151cda3b27 | MATLAB | 1,857 | 82 | % Demo for Rossler oscillator.
% This demo inverts a model of chaotic Rossler system, which is
% observed through a nonlinear sigmoid observation function.
clear variables
% close all
% Choose basic settings for simulations
f_fname = @f_Rossler;
g_fname = @g_sigmoid;
u = [];
n_t = 500;
deltat = 5e-2;
alpha... |
5c4a7499db448dd4ff070103239f2ff2057ef40c0f46cd64088f161279ada7bd | MATLAB | 1,857 | 36 | %% Compute the amplitude envelope correlation as defined in Hipp et al. 2012 Nature Neuroscience
%
% input: - virtChan_timeSeries: cell array of EEG time series, each cell
% should represent a single epoch/trial
% output: - connMatrix: s x s x e matrix, containing the connectivity
% matrices f... |
819749a378a689d475d8a109c5bcab9d3526c771213d393aeb8be7bc38df060c | MATLAB | 1,857 | 46 | %% Plot Decision boundaries induced by a mixture of two or three 2D Gaussians
% Based on code by Tommi Jaakkola
% This file is from pmtk3.googlecode.com
%% Two class linear
model(1).classPrior = [1 1]/2;
model(1).mu = [1.5 1.5 ; -1.5 -1.5]';
model(1).Sigma = repmat(eye(2), [1 1 2]);
model(1).SigmaPoo... |
85f51cd35846601024b209eead033b1d6c09ade832117c5eca81283906ea123c | MATLAB | 1,857 | 63 | function [pairwise_corr_median,pairwise_corr_mat] = pairwise_corr (traces,source_cells,target_cells,plotting)
if nargin < 4
plotting = false;
end
corr_matrix = corr(traces');
if find(size(source_cells)==1)~=find(size(target_cells)==1) % if source and target vectors don't have same orientation
source_cells = ... |
dc1bcb895780417295bbcf3758ec946ce6de8ef3fd08712c54907359e5fec8d5 | MATLAB | 1,857 | 78 | function staircaseAdjustment(contrast, tilt, detect, discrim)
%
% function staircaseAdjustment(contrast, tilt, detect, discrim)
%% report current values
fprintf('original contrast: %.2f\n', contrast)
fprintf('original tilt: %1.1f\n\n', tilt)
fprintf('detection: %d%%\n', round(detect*100))
fprintf('discrimination: %d%... |
d2783ad44a4838cfcb40431f75846439e496c14bd7efb152a63b70000ca822b4 | MATLAB | 1,859 | 53 | %https://www.mathworks.com/matlabcentral/fileexchange/36141-laplacian-eigenmap-diffusion-map-manifold-learning
% Author: Kye Taylor
%% create swiss roll data
N = 2^11; % number of points considered
t = rand(1,N);
t = sort(4*pi*sqrt(t))';
%t = sort(generateRVFromRand(2^11,@(x)1/32/pi^2*x,@(x)4*pi*sqrt(x)))';
z = 8*pi*... |
dcf7b71234aaa4302898ec094a5b7d521e4662a68ec65fa4976395360d94b0b1 | MATLAB | 1,859 | 66 | function avgX = gibbsIsingGrid(J, CPDs, logprobFn, visVals, varargin)
%% Gibbs sampling in a 2d Ising grid
% J = coupling (edge) strength
% CPDs{1}=p(y|x=-1), CPDs{2}=p(y|x=+1)
% logprobFn is a handle to a function that will be called with
% logprobFn(CPDS{i}, visVals(:))
% visVals should be an m*n matrix
% Returns p(X... |
0bc538a2edbf9418bd64c5146c5bf4dc3b30b4395c056c7b0476352a10be4e37 | MATLAB | 1,860 | 59 | function res = innerprod(X,Y)
%INNERPROD Efficient inner product with a sparse tensor.
%
% R = INNERPROD(X,Y) efficiently computes the inner product between
% two tensors X and Y. If Y is a tensor or sptensor, the inner
% product is computed directly and the computational complexity is
% O(min(nnz(X),nnz(Y))).... |
1d7c3a0837fda0304df83648ab1ffa2d567d65fa7cdb16fcd63b858d1ce172e9 | MATLAB | 1,860 | 91 | function dat=readinr(fname)
% vol=readinr(fname)
%
% readinf: load a volume from an INR file
%
% author: fangq (fangq<at> nmr.mgh.harvard.edu)
% date: 2009/05/03
%
% parameters:
% dat: output, data read from the inr file
% fname: input file name
%
% -- this function is part of iso2mesh toolbox (http://iso2mes... |
5274b045f6a8711611dadbe21030f72c3d1452c37072d83d9d9f354ecb9d6aac | MATLAB | 1,860 | 63 | function FilledImage=SmartImageFill(Image,XCoords,YCoords,FillImage)
%
% Image=STORM_Images{length(STORM_Images)}.STORM_Image;
% XCoords=[1286 7536]
% YCoords=[144 6939]
% FillImage=ones(6250,6250);
error('DOESNT WORK!')
XCoords=round(XCoords);
YCoords=round(YCoords);
ImageHeight=s... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.