sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
4614184872f11fb6636af448976e90f6f9453403c60818062653521ae277b912 | MATLAB | 1,345 | 51 | %% NVR rejection of ICA artifacts components
% 2017 (edited 2018) by Felix Klotzsche
% 2024 update by Antonin Fourcade
function NVR_08_rejcomp(cropstyle, mov_cond, path_data)
%% 1.Set Variables
%clc
%clear all
%1.1 Set different paths:
% input paths:
path_data_eeg = [path_data 'EEG/'];
path_in_eeg = [path_data_eeg '0... |
5a1ed2b39c153b148d56eabf5e4898d0231ef32770f82574cf3e05b0eabb1cdd | MATLAB | 1,345 | 45 | % demo for image registration
close all
clear variables
% 1: create original 2D image
[X,Y] = meshgrid(-2:.2:2, -2:.2:2);
Z = X .* exp(-X.^2 - Y.^2);
inG.Y = Z;
[nx,ny] = size(inG.Y);
% 2: dis-align original image with rotation & translation
phi = [2;-2;-1];
sigma = 1e6;
[gx] = g_ri... |
b2c0664bb3b21e47057b54c17bb0233fb62c2a6eab1caafd6bd99e4b18d5345a | MATLAB | 1,345 | 67 | function trialstarts = wlFT_getTrialStartSamples( ftdata )
% function trialstarts = wlFT_getTrialStartSamples( ftdata )
%
% This extracts the continuous-data sample indices of the first samples of
% each trial in a Field Trip dataset.
%
% This is the first column in ftdata.sampleinfo or ftdata.trialdef or
% cfg.trl.
%... |
c535e852b88066216b1ac0a22daf76ce8279b37f3650bda832367a0ee7146ebf | MATLAB | 1,345 | 45 | function params = genParams(varargin)
%GENPARAMS Summary of this function goes here
% Detailed explanation goes here
% initialize the input parser
input = inputParser;
% define input validation functions
validScalar = @(x) isscalar(x) && (x >= 0);
validInt = @(x) validScalar(x) && (mod(x, 1) == 0);
% simulation in... |
d9dff01e1629a55d9b235d2b291ee3408078c8b771d368a055f3f4f87967cd3b | MATLAB | 1,345 | 55 | function Ximpute = imputeKnn( X, K, distMeasure )
% imputeKnn: Impute missing values using mean of k nearest fully observed neighbors
% We only compute distance based on the features that are observed in current row
% This file is from pmtk3.googlecode.com
%PMTKauthor Hannes Bretschneider
if nargin < 3
distMeas... |
d646729eb84ab0d15df397d64ce441e8828157d637011971b585e1a4634616f8 | MATLAB | 1,346 | 44 |
% Load data
load(fullfile(saveLoc, 'cosine_sim'), 'cosine_sim')
% load(fullfile(saveLoc, 'resCorr_wiTrial'), 'rz_sess');
load(fullfile(saveLoc, 'single_trial_corr'))
rho = cat(3,C.rho);
rz_sess = nanmean(rho,3);
% load(fullfile(saveLoc, 'cosine_sim_randperm'), 'cosine_sim_randperm') % cosine_sim_randperm(... |
e42fbc8ca878f88e4b89df504c5b64d2ab12edf02b759f4304869be7e6e672fe | MATLAB | 1,346 | 36 | classdef TestArgs <handle
methods(Static)
function argsObj=Umap
argsObj=UmapUtil.GetArgsWithMetaInfo('eliverLabeled.csv', ...
'label_column', 'end', 'n_neighbors', 17, ...
'match_scenarios', [1 2 4]);
msg(argsObj.getArgumentClinicPanel);
he... |
509dfef50dc8e3112932e5c4c4228450c409e843d7721e9afa6a14cf0c6fabd8 | MATLAB | 1,347 | 42 | Tassembly_logic = zeros(size(CellCl,1),size(Tracecellsdf,2));
for assemblyCounter = 1:size(CellCl,1)
assemblyActiv{1,assemblyCounter} = TRace(find(PCl(assemblyCounter,:)));
Tassembly_logic(assemblyActiv{1,assemblyCounter}) = 1;
end
r_class2 = zeros(size(TraceClass2df,1),41);
r_class1 = zeros(size(TraceClass1d... |
6e35f84fe3bcfb69e8c35670d498b2654a4bb204aaf98d74b5c4cd762ea82709 | MATLAB | 1,347 | 50 | %% Prepare continuous EEG data for export to MNE
% Rejection of ICA artifacts components
% % 2024 by Antonin Fourcade
function NVR_13_eeglab2mne(cropstyle, mov_cond, path_data)
%% 1.Set Variables
%clc
%clear all
%1.1 Set different paths:
% input paths:
path_data_eeg = [path_data 'EEG/'];
path_in_eeg = [path_data_eeg ... |
860f5e9cacb49ef06ac23220b6f04deaebe617586f6c50dbf3ffe599d5d4dfb3 | MATLAB | 1,347 | 72 | function med = circ_median(alpha,dim)
%
% med = circ_median(alpha)
% Computes the median direction for circular data.
%
% Input:
% alpha sample of angles in radians
% [dim compute along this dimension, default is 1, must
% be either 1 or 2 for circ_median]
%
% Output:
% mu mean dire... |
fc01378789b816c3a717d34a6088eaa187cb965c3fa61143ad8075fb60c5d6c8 | MATLAB | 1,347 | 47 | function cm = set_redblue_colourmap( ax, clmin, clmax, N )
%%function cm = set_redblue_colourmap( ax, clmin, clmax, N )
%
%
if nargin < 4 || isempty(N)
N = 64;
end
% scale to sensible order of magnitude
min_scale = floor(log10(abs(clmin)));
clmin = clmin*10.^-min_scale;
max_scale = floor(log10(abs(clmax)));
clma... |
d81e51a08974cac4799d9fa6ca905df2a83fd73440dfb77c95426dae8d0b4850 | MATLAB | 1,348 | 55 | %% Least means squares (Widrow-Hoff) Demo
%
%%
% This file is from pmtk3.googlecode.com
[X,y]=contoursSSEdemo; % makes data X, y and plots surface
d = 2;
w0 = [-0.5;2]; % randn(d,1);
options.batchsize = 1;
options.verbose = true;
options.storeParamTrace = true;
options.storeFvalTrace = true;
options.maxUpdates = 20... |
d4d7b41135740c405bc5789510dfe362f006f9e8c3f000a9282d0b7c99f1ddf4 | MATLAB | 1,349 | 36 | % PSTH computes the PSTH of a single spike train
% Equations from Aertsen et al. 1989
% psthMean: Equation 1
% psthStdDev: for Equation 7a
% psthVariance: for Brody Covariogram
% psth.m
%
% Copyright 2008 Vanderbilt University. All rights reserved.
% John Haitas, Jeremiah Cohen, and Jeff Schall
%
% This file is ... |
19dafc20345105307a44f100a198db227efe58358dd55386ae3ad910ec3b6a14 | MATLAB | 1,350 | 39 | clear all; close all; clc;
% import table
T=readtable('PatientData.csv');
% Memory recall
DV=T.MemoryTask2-T.MemoryTask1;
% compare values between groups
[p h stats]=ranksum(DV(T.RandomisationOrder==1), DV(T.RandomisationOrder==2),'method','approximate')
% baseline difference
[p h stats]=ranksum(T.MemoryTask1(T.Ran... |
3a8bb6fae66cec098c3a9241869006d8efa145f50c4517a0ac568a0af1e40167 | MATLAB | 1,350 | 49 | % Get subpopulation rate (spikes/s) as a function of time
% Run this script on the HPC cluster. Specify the data path accrodingly and
% load the file of interest. Then copy the saved file on local machine
% before running 'plot_subpopulationRateDifference_perDisc.m'
clear all
close all
clc
% Data path on the HPC c... |
de7d9617869c80c6009c15b9b8dfaaaff0ef8f0fbd5d3fa359c8deec005af45c | MATLAB | 1,350 | 44 | function a = reshape(a,new_size,old_modes)
%RESHAPE Reshape sparse tensor.
%
% RESHAPE(X,SIZ) reshapes the sparse tensor to the given size. PROD(SIZ)
% must be the same as PROD(SIZE(X)).
%
% RESHAPE(X,SIZ,MODES) reshapes only the specifies modes and appends the
% new reshaped modes to the end of the indices.
%
%... |
e8123ce8bdd16e0a2f371492f06da03161342086454cb0c84f4b6aef1c83868c | MATLAB | 1,350 | 79 | %%
bigdom = [1 2];
Tbig = reshape([1 2 3 4], [2 2]);
%smalldom = [1 2];
%Tsmall = reshape([5 6 7 8], [2 2]);
smalldom = [2 1];
Tsmall = reshape([5 6 7 8], [2 2]);
%smalldom = [1];
%Tsmall = reshape([5 6], [2 1]);
T = bsxTable(@times, Tbig, Tsmall, bigdom, smalldom);
TT = zeros(2,2);
for i=1:2
for j=1:2
%TT(... |
09b44bc909b1a04b79534151e979f059319aae00a349d4565a6bd86a33cb1d3b | MATLAB | 1,351 | 49 | function wlPlot_plotPowerAndPersist(cfg, wave, fmin, fmax, ...
figtitle, filelabel)
% function wlPlot_plotPowerAndPersist(cfg, wave, fmin, fmax, ...
% figtitle, filelabel)
%
% This function plots power spectral density and a persistence spectrum
% for the specified waveform.
%
% "cfg" contains figure configuration... |
72c958b03ac951ede7c4b4925810f27aef9307e3a76e3d230b75932af1ecf055 | MATLAB | 1,351 | 47 | % MF_CHOLMV Multiply using Cholesky factor from multifrontal factorization.
%
% Typical complexity: about half that of MF_MV.
%
% Y = MF_CHOLMV(F,X) produces the matrix Y by applying the Cholesky factor C
% of the factored matrix F = C*C' to the matrix X. Requires that F be
% computed with the Hermitian po... |
b0f43cd97ebe75d8f8a76117d45a21d160e9dd7d6c80049f975a97a57da5ab71 | MATLAB | 1,351 | 34 | function h_makeZoomInBox3(handles, factor)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
h = currentStruct.gh.currentHandles.imageAxes;
delete(findobj(h, 'Tag', 'zoomInBox3'));
xlim = get(h,'xlim');
ylim = get(h,'ylim');
offset(1) = diff(xlim)/factor;
offset(2) = di... |
d9b2d7a125785cbbe76277194f27667e48dd8d3cdcbe257d6525038b4b893cb0 | MATLAB | 1,351 | 39 | function ehess = essential_ehessE2ehess(X, egradE, ehessE, S)
% Converts the Hessian in essential matrix E to the Hessian in X.
%
% function ehess = essential_ehessE2ehess(X, egradE, ehessE, S)
%
% egradE is the function handle for the gradient in E.
% ehessE is the function handle for the Hessian in E.
% S is t... |
7c0415c09dcfd4f2e59f866ac116e482c4af74027c404df9cd8fb531c933333b | MATLAB | 1,352 | 38 | function [ gx ] = g_HGFinGame(x,P,u,in)
% observation function for HGF learner engaging in dyadic games
% [ gx ] = g_HGFinGame(x,P,u,in)
% In a game, a HGF learner bases her decision (a=1 or a=0) upon her
% prediction of her opponent's next move, given the game payoff table. NB:
% HGF tracks the probability that her op... |
443c2a127c3383e09fa6a024df763ad3860f491563d49a98505149eef8b02e0c | MATLAB | 1,353 | 42 | %% Plot mean Fc
figure('units','inches','position',[10 10 6 4]);
count = 0;
for i = 1:length(unique(bins))
count = count+1;
subplot(2,3,count);
rmat = mean(rmatGroupMean(IM.order,IM.order,bins==i),3);
Matrix_Org3(rmat,...
IM.key,10,[-0.3,0.3],IM.cMap,0);
title(grouplabel{i});
set(gca,'FontSi... |
5529db69ed22cbcbd5afac503f529a04c8b0b225f894719630f6133f654fede2 | MATLAB | 1,353 | 59 | function mesh = make_circle(sizevar)
% mesh = make_circle(sizevar)
%
% Creates a 2D circular mesh
%
% sizevar.xc - x coordinate of the center
% sizevar.yc - y coordinate of the center
% sizevar.r - radius
% sizevar.dist - distance between nodes
% error checking
if ~isfield(sizevar,'xc') || ~isfield(sizevar,'yc') ...... |
826f5d10f110bafb14301450e4f73bbfd7b44e0d4d862bee862021f84bcc8ae5 | MATLAB | 1,353 | 58 | % Usage:
% h = createsubplots(nrows,ncols,border)
% h = createsubplots(nrows,ncols,[borderx,bordery])
% h = createsubplots(nrows,ncols,[[sideborderx, middleborderx];[sidebordery, middlebordery]])
% h = createsubplots(...,[hfig]);
function h = createsubplots(n1,n2,border,hfig)
if nargin == 0,
error('usage: createsubp... |
9f67030f1b7c9d15ba6675d6077ca64dacd1899673a3e4e7dcd247308a7dcabd | MATLAB | 1,353 | 41 | function [ImageArray,MetaData]=CZI_Importer(FileName)
TempMeta=czifinfo(FileName);
MetaData = GetOMEData(FileName);
if any(strfind(TempMeta.genInfo.pixelType,'16'))
MetaData.BitDepth=16;
elseif any(strfind(TempMeta.genInfo.pixelType,'8'))
MetaData.BitDepth=8;
end
if M... |
a6397cc45f47f51085c0fee0fc4ca81fbe9455521362ab14d00b1cd1a916a119 | MATLAB | 1,353 | 38 | function b = multihconj(a, dim)
%MULTIHCONJ Hermitian conjugating arrays of matrices.
% B = MULTIHCONJ(A) is equivalent to B = MULTIHCONJ(A, DIM), where
% DIM = 1.
%
% B = MULTIHCONJ(A, DIM) is equivalent to
% B = PERMUTE(A, [1:DIM-1, DIM+1, DIM, DIM+2:NDIMS(A)]), where A is an
% array containing... |
d4e811996e891163ab986c22b0dc0885940c09c306887bff5ea61ca7cdc80b52 | MATLAB | 1,353 | 38 | %% Fit a mixture of Gaussians comparing mixModelFit and dgmTrain
%
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
nstates = 3;
d = 10;
nobs = 100;
%% initialize both models the same
mu0 = randn(d, nstates);
Sigma0 = zeros(d, d, nstates);
for i=1:nstates
Sigma0(:, :, i) = randpd(d) + 2*ey... |
dc3ac8b39d1de120ed5523c813387cca250b6535057961c6768be5ed9592e44c | MATLAB | 1,353 | 73 | function TF = shouldAutomateStop(self, channel)
arguments
self (1,1) crabsort
channel (1,1) double
end
TF = false;
if self.automate_action == crabsort.automateAction.none
TF = true;
return
end
M = self.handles.menu_name(4).Children;
Checked = {M.Checked};
% should stop if artifacts are marked
if strcmp(Checked... |
1bf1f809aa192ff78cccf5926c78a3d487c3250397a69cdc327600629c8e78e0 | MATLAB | 1,354 | 35 | function [inside, outside] = find_inside_vol(pos, vol)
% FIND_INSIDE_VOL locates dipole locations inside/outside the source
% compartment of a volume conductor model.
%
% [inside, outside] = find_inside_vol(pos, vol)
%
% This function is obsolete and its use in other functions should be replaced
% by inside_vol
% C... |
1d029c8cbc5ebc60999b846ea998c63ae24e73a83dcf3cce430c350ea7715767 | MATLAB | 1,354 | 33 | % Wrapper script to turn parcellation files into FreeSurfer annotation
% files. Then you can calculate surface area of parcellations!
%
% Assumes ind_parcellation output from Kong2019 CBIG pipeline.
% Written by M. Peterson, Nielsen Brain and Behavior Lab
%To run:
% 1. Claim computing resources using salloc (ex: `sa... |
5f6d241e2367d2b37dc99e2b75841c29a05713798ac406871a138e32f4a69ec7 | MATLAB | 1,354 | 46 | %% Test calcium sensitivity on calcium transient and active tension
%% Setting parameters
clear
clc
close all
param.bcl = 800; % basic cycle length in ms
param.model = @model_ToRORd_Land; % which model is to be used
param.verbose = true; % printing numbers of beats simulated
param.cellType = 1; % 0 endo, 1, epi, 2, mi... |
f149a99d6a91e4136c7f355e26c50e27a1fb33ab564247b1d6b3158fe0e2f842 | MATLAB | 1,354 | 48 | function [logZ, nodeBel, edgeBel] = bruteForceInferNodes(factors, edges)
% Compute all node marginals given a set of factors using enuemration
% We assume all nodes are discrete and have the same num states
% factors{f} is a tabular factor
%
% logZ is log normalization constant
% nodeBel(:,t)
%
% Optional: if you pass... |
136aaa4880b90e4f7508897dd7f31788c1c99b97ca3edc7b8628a7c484527242 | MATLAB | 1,355 | 46 | function afxLnmTTest(images,fnameOut,nCond)
if exist(fnameOut,'file')
fprintf('afxLnmTTest: %s already exists.\n', fnameOut);
return;
end
Vi = spm_vol(char(images));
Vo = struct(...
'fname', [],...
'dim', Vi(1).dim(1:3),...
'dt', [spm_type('i... |
83397337dff101d8795375f2a92f12c4b2a5618f440e3982be045a146b055a7f | MATLAB | 1,355 | 43 | function value = loadvar(filename, varname)
% LOADVAR is a helper function for cfg.inputfile
% Copyright (C) 2010, Robert Oostenveld
%
% $Id$
assert(ischar(filename), 'file name should be a string');
if nargin<2
fprintf('reading variable from file ''%s''\n', filename);
else
assert(ischar(varname), 'variable nam... |
e01f3efaac7aaad54af59880f6461d9dcf02af7355cf5ebb11b9776d85d456a8 | MATLAB | 1,356 | 48 | % this function recompiles all .c scripts to create the apropriate .mex* files on your local machine
%NOTE: current directory must be the buzcode base directory
buzpath = pwd;
addpath(genpath('externalPackages'))
compilefma % compiles FMAToolbox
try
cd(['externalPackages' filesep 'FilterM' filesep ''])
catch
di... |
e0367659b06a405bf1f02ee6078ad995fab69ecb048f88eb8992b423c4e9f279 | MATLAB | 1,356 | 69 | function flag = AnnotateSig(fig, xVal, pVal, pCriterion, contCriterion, barColor, varargin)
barDrop = 0.05;
barWidth = 8;
returnPts = false;
flag = false;
annotate = true;
for i = 1:2:length(varargin)
switch lower(varargin{i})
case 'bardrop'
barDrop = varargin{i+1};
case 'barwidth'
... |
ec822051f0f4fad0d3c0314c758b387441c272751c28263baf91248e006ac316 | MATLAB | 1,356 | 52 | %% Grid world MDP
% Based on Russell and Norvig 1995 ch 17 (p501)
% 2010 version p648
% (1,1) is top left corner.
% actions: 1 up, 2 ->, 3 down, 4 <-
r = 3; c = 4; p = 0.8;
action_cost = -1/25; % get to +1
%action_cost = -1.65; % get out quickly
obstacle = zeros(r,c); obstacle(2,2)=1;
terminal = zeros(r,c); terminal... |
2c3fcdf641c6db6180dfe9f7aa03130163e2de9bdaa1597308ab5c8ab5be397d | MATLAB | 1,357 | 35 | %% memory color decoding and truefalse color decoding for color patches
clear
clc
load(['data.mat'],'all_monkey_single_mean','all_monkey_single_sd','all_monkey_accuracy_perrun','each_monkey_single_mean','chance_level','nROI');
face_color = [200/255,36/255,35/255];
face_alpha = 0.75;
name = 'memory_color_decoding... |
46a97ec2e1bdddbecef4e25f21a59a1c5b4e14733a5c63f669e535e919c6f42e | MATLAB | 1,357 | 52 | function [style, colors] = meg_manuscriptStyle
% parameters for reproducing manuscript figures
style.widthTS = 470;
style.widthScatter = 300;
style.height = 300;
style.ebLineWidth = 0.2; % line width of shaded error bar edges
% scatterplots
style.xBuffer = 1;
style.xBufferSml = 0.2;
style.scatter.MarkerSize... |
49ea3b5fd568e3de5c0e853694e71a8af76b4e833768be8cb9ee6ebc68bc022c | MATLAB | 1,357 | 43 | clear
close all
clc
%% Load atlas
% path to MRI template - must include hdr and img files
atlas = niftiread('/Users/jstrohl/Documents/20230908 Pipelines for neural data analysis/Dependencies/ATLAS-MICE 2/2011-10-30_MRI-template3.hdr', ...
'/Users/jstrohl/Documents/20230908 Pipelines for neural data analysis/D... |
836861a0796bdfcf055bbee8194b904643dbe5c61cc989d900ffd96031c2d3fb | MATLAB | 1,357 | 43 | clear
close all
clc
%% Load atlas
% path to MRI template - must include hdr and img files
atlas = niftiread('/Users/jstrohl/Documents/20230908 Pipelines for neural data analysis/Dependencies/ATLAS-MICE 2/2011-10-30_MRI-template3.hdr', ...
'/Users/jstrohl/Documents/20230908 Pipelines for neural data analysis/D... |
90885da5f32017d2f48d4a6285ca0a5613f85a6ac623e0a95a8a3aa6c12c9b86 | MATLAB | 1,357 | 43 | function out = h_autoGetPAROI3(header)
pos = eval([header.init.eom.powerBoxNormCoords]);
if ~isempty(pos)
if size(pos,1) == 2
beam = 2;
else
beam = 1;
end
pos = pos(beam,:);
pos([1,3]) = pos([1,3]) * header.acq.pixelsPerLine;
pos([2,4]) = pos([2,4]) * header.acq.lines... |
c94161ff368ccd739c1c38ac767af0d1ee6724aca494b691e47a6fd30b613287 | MATLAB | 1,357 | 44 |
%% local renormalization approach (no mask)
%blur out all features, leaving just a local scaling factor
sd = 200;
gFilter = fspecial('gaussian', 4*sd, sd);
blurred = imfilter(imgToFilter,gFilter,'replicate');
imgRenormed = imgToFilter*max(blurred(:))./blurred;
figure;subplot(1,3,1);imagesc(imgToFilter);subplot(1,3,2);... |
eac174193c7512203005f8100ea25754d6429836d0f651609cf2d551abc27b03 | MATLAB | 1,357 | 47 | function ps = normpdf2( xs, m, C )
% Normal prob. density function (pdf) with arbitrary covariance matrix.
%
% Evaluate the multi-variate density with mean vector m and covariance
% matrix C for the input vector xs. Assumes that the N datapoints are d
% dimensional. Then m is dx1 or 1xd, C is dxd, and xs is dxN or Nx... |
f01cccbd6ce1b16deeb69bad0d8645907469b099fe17660c2d6c71d75a02625a | MATLAB | 1,357 | 55 | % bw = ellipsepixels(params,bb)
% params: vector of length 5 describing the ellipse, where
% params(1) is the x coordinate of the center
% params(2) is the y coordinate of the center
% params(3) is the major axis length
% params(4) is the minor axis length
% params(5) is the orientation
% bb is a vector of length 4 des... |
6eab1047351fad2a9c7bc97bcba8625b096f2d9519dce6c0657a807b6b97bf51 | MATLAB | 1,358 | 54 | function dat = read_spike6mat_data(filename, varargin)
% read_spike6mat_data() - read Matlab files exported from Spike 6
%
% Usage:
% >> header = read_spike6mat_data(filename, varargin);
%
% Inputs:
% filename - [string] file name
%
% Optional inputs:
% 'begsample' first sample to read
% 'endsample' ... |
25afed6bf7acfc8a4d767b6e148611e47021037d0d4f3ba02933e4691b2d3127 | MATLAB | 1,359 | 72 | %% Error surface for linear regression model
% Based on code by John D'errico
%https://www.mathworks.com/matlabcentral/fileexchange/8553-optimization-tips-and-tricks?s_tid=prof_contriblnk
% This file is from pmtk3.googlecode.com
function [X,y] = contoursSSEdemo(varargin)
if nargin == 0
doPlot = true;
else
... |
487c109d35abf3fbd28a08cd828e76722988e4946f6bf713e1c40e8fba3c9c9e | MATLAB | 1,359 | 57 | function varargout = eval_network(net, init_condition, v_u_t, m_target_t)
%% Setup.
% Network structure.
[n_Wru_v, n_Wrr_n, m_Wzr_n, n_x0_c, n_bx_1, m_bz_1] = unpackRNN(net, net.theta);
[V,T] = size(v_u_t);
[M,N] = size(m_Wzr_n);
% Transfer functions.
rec_transfun = net.layers(2).transfun;
out_transfun = net.layers(3)... |
b3684861eab60a7ed2c01b61a51f79554d34b55564a73d988db2107728ef0332 | MATLAB | 1,359 | 48 | %% Visualize the MNIST digits and a version where we permute the pixels
%
%%
% This file is from pmtk3.googlecode.com
loadData('mnistAll') % already randomly shuffled across classes
% train_images: [28x28x60000 uint8]
% test_images: [28x28x10000 uint8]
% train_labels: [60000x1 uint8]
% test_labels: [10000x1 uint8]
se... |
d41f6171bee14c96ad6fdde18302423e159c6c2edb99af4fad7fdf137d70c6a5 | MATLAB | 1,359 | 50 | function [z, mu, sigma] = VBA_zscore (x, flag, dim, omitnan)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [z, mu, sigma] = VBA_zscore (x, flag, dim, ignore_nans)
% standard score, aka z-score
%
% Compute the stardardized zscore of x, ie z = (x - mean(x)) / std(x)
%
% IN:
% x: vector... |
1ebfb464c1ec15a828d933d695003986f477a6d242a9cdeb46ac0e6533bba2c5 | MATLAB | 1,360 | 47 | % fastif() - fast if function.
%
% Usage:
% >> res = fastif(test, s1, s2);
%
% Input:
% test - logical test with result 0 or 1
% s1 - result if 1
% s2 - result if 0
%
% Output:
% res - s1 or s2 depending on the value of the test
%
% Author: Arnaud Delorme, CNL / Salk Institute, 2001
%123456789012... |
30d10d96ee48dab97316b31939348501b69d43ff51cc3bbf42c3e974d842bf72 | MATLAB | 1,360 | 40 | function varargout = ft_error(varargin)
% FT_ERROR prints an error message on screen, just like the standard ERROR function.
%
% Use as
% ft_error(...)
% with arguments similar to fprintf, or
% ft_error(msgId, ...)
% with arguments similar to error.
%
% See also FT_ERROR, FT_WARNING, FT_NOTICE, FT_INFO, FT_DEBUG, ... |
6aa36dd0daa0dfd449b8ac24d64efac50cf8403fd0e6a2ae910099576c459ca0 | MATLAB | 1,360 | 29 | %function calib_gui(mode)
% calib_gui(mode)
%
% Runs the Camera Calibration Toolbox.
% Set mode to 1 to run the memory efficient version.
% Any other value for mode will run the normal version (see documentation)
%
% INFORMATION ABOUT THE MEMORY EFFICIENT MODE FOR THE CAMERA CALIBRATION TOOLBOX:
%
% If your calibratio... |
8158ceb398ae58a36760c3e1a7d298d609d703a954fc4b3c45c0cfc90bc72d9e | MATLAB | 1,360 | 25 | %% Circle
disp('######################################');
disp('#### Design a circular trajectory ####');
disp('#### ####');
disp('######################################');
disp(' ');
C = exp(i*2*pi*linspace(0,1,512)')*10;
C = [real(C) imag(C) 0*C];
[C_riv, time_riv, g_riv, s_riv, k_riv] ... |
9a7eaaa4328bac086ebce07b8ad3974a8bc504acaa8deedc328881dee30c3b9c | MATLAB | 1,360 | 42 | function Iout=movepixels_2d_double(Iin,Tx,Ty,mode)
% This function movepixels, will translate the pixels of an image
% according to x and y translation images (bilinear interpolated).
%
% Iout = movepixels_2d_double(I,Tx,Ty,mode);
%
% Inputs;
% Tx, Ty: The transformation images, describing the
% ... |
b9131f6596b9179264921ffd0484252cafbdf2a38c310b6ebb769b538262c80d | MATLAB | 1,360 | 47 | function [xd, dxd_dx] = apply_fisheye_distortion(x,k)
%apply_fisheye_distortion.m
%
%[x] = apply_fisheye_distortion(xd,k)
%
%Apply the fisheye distortions
%
%INPUT: x: undistorted (normalized) point coordinates in the image plane (2xN matrix)
% k: Fisheye distortion coefficients (5x1 vector)
%
%OUTPUT: xd: dist... |
2a90bb31d3b3e682e9bff81499732abd9ee57dcbb69e8aede0da0d5fe74d081f | MATLAB | 1,361 | 42 | function [myPool]=ParPoolManager(StartPool,myPool)
warning on all
warning off backtrace
warning off verbose
if isempty(StartPool)
PoolChoice = questdlg('Start Parallel Pool?','Start Parallel Pool?','Start','Skip','Start');
if strcmp(PoolChoice,'Start')
StartPool=1;
... |
a29e7c17e7862e7760f2b14c51b183e7e8c6de6f516c4c657803366764f69bbf | MATLAB | 1,361 | 48 | %% Analysis of binomial differences
% PMTKneedsStatsToolbox ksdensity
% Based on http://www.johndcook.com/blog/2011/09/27/bayesian-amazon/
% See also unpairedTestHandednessDemo
% This file is from pmtk3.googlecode.com
clear all
requireStatsToolbox
setSeed(0);
y1 = 90; n1 = 100; y2 = 2; n2 = 2;
[deltas, post, thetas... |
0ce2f9ba9ce2f0ccea490879b044833fc67d01ede6431f18ab9465cbde370ff2 | MATLAB | 1,362 | 64 | disp("This is an example matlab driver for the stokes fmm");
disp("On output the code prints the pot+pre+grad in example1 and, pot+pottarg+pre+pretarg in example2");
disp(" ");
disp(" ");
%% source to source, stokeslet only, pot+pre+grad example
%
clear srcinfo ns U eps pg;
disp("Example 1: source to source, stokesl... |
1a46db0bdfa356e9ce3f2896d6350d8e264df1be3f8016143ebbaa23c1305c30 | MATLAB | 1,362 | 50 | function varargout = get(tpl,action,varargin)
%TEMPLATE/GET Access data stored in a Template object
% TPL = GET(TPL,ACTION,VARARGIN)
% ACTION 'var'
% ACTION 'undefined'
% Copyright (C) 2003 Guillaume Flandin <Guillaume@artefact.tk>
% $Revision: 1.0 $Date: 2003/05/05 22:19:51 $
narginchk(2,3);
switch lower... |
2bf2ceb48074af1863bf4c9571e4111b85f65e893a488be0820a5b4b865f0728 | MATLAB | 1,362 | 62 |
function [edgesUp, edgesDown] = treeMsgOrderPmtk(adj, root)
%treeMsgOrder Find message scheduling for inference on a tree.
%
% edgesUp(e,:) = [c p] where edge is oriented p->c en route to root
% edgesDown(e,:) = [p c]
%
% This is similar to treeMsgOrder by Erik Sudderth,
% except it works on disconnected trees (fo... |
ec4d4da171523fc80e2d9eb885ddb0cfe56283ae7c104c8678e922cc43a71686 | MATLAB | 1,362 | 40 | % PickReferenceDay.m
% Sarah West
% 8/23/21
% Loads the "bRep.mat" file for each day of each mouse (which is the
% reference image for the within- and across-stack registrations) and plots them
% so you can pick what day to use. Called by "registration_pick_reference_day_permouse.m"
function [dayi_output]=PickReferen... |
952c1c4534e0ef7b8dfe6f1bd6a2a60e8894429c1830a48dffcf3c3e9e46d2bc | MATLAB | 1,363 | 71 | function lan2mat(cfg)
% v.0.0.1
%
% breve funcion que exporta trials de cada condicion por sujeto.
% Tambien elimina electrodos
%
% cfg.subject % Deben por empezar con letras y no numeros
% cfg.cond % Deben por empezar con letras y no numeros
% cfg.indx
% cfg.delelectrode
%
% Francisco Zamorano
%
% 01.02... |
9fc181d2bdd950953d34a8a308054b89b860af128ad6ba4f41feed3c2da25928 | MATLAB | 1,363 | 57 | function [trainfolds, testfolds] = Kfold(N, K, randomize)
% Compute indices for K-fold cross validaiton
% N = num data
% K = num folds, if K=N, use leave-one-out CV
% [trainfolds{i}, testfolds{i}] = indices of i'th fold
% If randomize = 1, we shuffle the indices first
% This is useful in case the data has some speci... |
e5c2d51efdc489fe833407a907072eca35f88fb3655b70b4add4d357985e5d93 | MATLAB | 1,363 | 47 | % MF_CHOLSV Solve using Cholesky factor from multifrontal factorization.
%
% Typical complexity: about half that of MF_SV.
%
% Y = MF_CHOLSV(F,X) produces the matrix Y by applying the inverse of the
% Cholesky factor C of the factored matrix F = C*C' to the matrix X. Requires
% that F be computed with the ... |
7fd9ed5577eb250417f210bc3011dfa9ba725f490c68bde4ffef90bd568d33e6 | MATLAB | 1,364 | 35 | %% ALS optimization for CP and Tucker tensor decompositions
%% Alternating least squares for PARAFAC/CANDECOMP
% The function |parafac_als| computes an estimate of the best rank-R
% PARAFAC model of a tensor X using an alternating least-squares
% algorithm. The input X can be a tensor, sptensor, ktensor, or
% ttensor... |
e00bea58ae8f2bb2b75a2f6cdae78b1623d539502e46a4f39f12f2de89d130ea | MATLAB | 1,364 | 71 | function EEG = eraseventcodes(EEG, expression)
% Deletes all event codes that match with expression
% (to deal with biosemi when your using 8 bits trigger...
% and some weird codes appear...or whatever else)
%
% expresion has to be someting like this:
% '==1' or '>255' or '~41'
% Example:
% EEG = eraseventcodes(EEG, '... |
109d18a56aa6a2193ed746208e2259129f43a3dbd7cadad42a717783bf224c58 | MATLAB | 1,365 | 46 | function varargout=rrmdir(varargin)
%RRMDIR Delete a series of directories.
% RRMDIR dir_name deletes the named directories. Wildcards may be used
% in the directory name and in the intermediate pathnames, contrarily
% to RMDIR. Brackets ([]) may also be used (see RDIR).
%
% Use the functional form of RRMDIR,... |
5d5439c04314328e8090b58d7b2615cb6579b98932a1d535fdcf7cfb6e80fb0b | MATLAB | 1,365 | 42 | function res = innerprod(X,Y)
%INNERPROD Efficient inner product with a tensor.
%
% R = INNERPROD(X,Y) efficiently computes the inner product between
% two tensors X and Y. If Y is a tensor, then inner product is
% computed directly. Otherwise, the inner product method for
% that type of tensor is called.
%
%... |
87e6c493410bce8a29f5135c2e75d4927f75c494faf6ec291c36602f2a5e8ac7 | MATLAB | 1,365 | 60 | % TrihexyQuestionnaireAnalysis
% Analyse demographics + questionnaires
clc; clear all; close all;
% file name
qFile = 'C:\Users\groganj\OneDrive - Nexus365\Comp_Neurology_Lab\Data\Trihexy\Questionnaires\TrihexyQuestionnaires.xlsx';
[num,txt,raw] = xlsread(qFile,'Sheet1','A1:BW26');
%% get into a table
colNames = ra... |
a6473f7b9560fd8449db2256343af253530a2427838233d3ee77b5c6c2bac090 | MATLAB | 1,365 | 54 | %% Illustration of the Neyman-Pearson testing paradigm
%
%%
% This file is from pmtk3.googlecode.com
xmin = -4;xmax = 8;
ymin = 0;ymax = 0.3;
res = 0.01;
domain = xmin:res:xmax;
sigma = 1.5;
f1 = @(x)gaussProb(x,0,sigma);
f2 = @(x)gaussProb(x,4,sigma);
linesize = {'LineWidth',2.5};
plot(domain,f1(domain),'-b',lines... |
0f0d1da720d59e9f8a2f179c01701518309f5bccfc9b7c68ed1fea73800bd589 | MATLAB | 1,366 | 51 | % this small class will count the number of images in a camera ttl trace
% it will also get the image on which a puff starts and ends
% input a camera trace cut off just after the last image for max efficiency
function [num_images, imgs, imge] = count_images (camera, puffs, puffe)
dps = size (camera, 1);
%check if ... |
63f6ab8e105bcf9577f1cc3fac98d1d6d961331a81fe13ad49b02ed70555f9ba | MATLAB | 1,366 | 43 | function effects = mystat (info)
% function effects = mystat (info)
%
% calculate the following descriptive statistics:
% effects(1) = error rate compatibile
% effects(2) = error rate incompatible
% effects(3) = RT compatible
% effects(4) = RT incompatible
% effects(5) = RT correct - RT incorrect
% effects(... |
65fef3317b2c32488bef59785a0ea650991549af1f6469d88c3e12586e4aea55 | MATLAB | 1,366 | 63 | % [newX, snr1, M] = adjustCorr1s(X, Cx, MODE, p)
%
% Linearly adjust variables in X to have correlation Cx.
% Rows of X and newX are samples of a (random) row-vector, such that:
% 1: newX = X * M
% 2: newX' * newX = Cx
%
% MODE is optional:
% 0 => choose randomly from the space of linear solutions
% 1... |
61ecb670a3b6a3722c83c11a9833b6421c904b08198fc9ff54d039d378d2d6a6 | MATLAB | 1,367 | 83 | function RT = rt_merge_block(RT1,RT2)
% v.0.0.0
% <*LAN)<|
%
%
%
%
if iscell(RT1.rt)
l1 = size(RT1.rt);
end
if iscell(RT2.rt)
l2 = size(RT2.rt,1);
end
if iscell(RT1.rt)
RT.rt(1:l1) = RT1.rt;
RT.laten(1:l1) = RT1.laten;
try
RT.misslaten(1:l1) = RT1.misslaten;
catch
RT... |
79ff567a6be07eaa247e35b5b037428b6677756be255ee9ae125874011ca2658 | MATLAB | 1,367 | 51 | function st = IsInsideMatRegion(inode,regionID,inele,node)
% Checks if points in 'inode' are inside sub-surfaces that are tagged as
% 'regionID'
% Inputs:
% ele : ns x 5 matrix, list of triangles along with two region id's that are
% being separated by the surface:
% n1 n2 n3 m1 m2
% node : np x 3, coordinats of ... |
7a478960ab752170f24e0f443ba2a7ca93babef961c5e1a5ab29a0126775fc67 | MATLAB | 1,367 | 39 | function lse = VBA_logSumExp (z, dim)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% lse = VBA_logSumExp (z)
% log of a sum of exponential, ie. log (sum (exp (z))
%
% IN:
% - z: values to aggregate
% - dim: if x is multidimensional, dimension along which the LSE is
% applied ... |
dc126a5ffc7e74721fb78ac7c3805b2564efec180d381d0c1f5823f833614202 | MATLAB | 1,367 | 63 |
%
%
disp("This is an example matlab driver for the maxwell fmm");
disp("On output the code prints the field in example1 and, field+curl in example2");
disp(" ");
disp(" ");
%% source to target, magnetic current only, field example
%
clear srcinfo targ ns U eps ifE ifcurlE ifdivE zk;
disp("Example 1: source to sourc... |
88d5484956f4587ed99f2371a23ec2e99a99e546b55af8b664818c8b0a9ec66d | MATLAB | 1,368 | 49 | function [im,header] = mmf_read_mean(header,varargin)
[meani,framei] = myparse(varargin,'meani',[],'framei',[]);
fp = header.fid;
meani = [meani,header.frame2mean(framei)];
if isempty(meani),
[im,header] = mmf_read_mean_helper(fp,header);
else
if length(meani) > 1,
im = zeros([header.nr,header.nc,length(mean... |
ba7f2616ba1cfb1e69fc3a98c74ce970fbfebe393183ae49d93594e294bd8389 | MATLAB | 1,368 | 49 | % 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,... |
6d4901d8142ca6baf4a03ec83065735239cd81221ff8923aa0fa5ac154dd8835 | MATLAB | 1,369 | 37 | function [BoundingBoxNeg, BoundingBoxPos, VoxSize]= y_GetBoundingBox(InputFile)
% FORMAT [BoundingBoxNeg, BoundingBoxPos, VoxSize]= y_GetBoundingBox(InputFile)
% Input:
% InputFile - input filename
% Output:
% BoundingBoxNeg,BoundingBoxPos - image dimention
% VoxSize - vox size.
%________________________________... |
9ac751df4f8c1b673402a3424a092774c276dc38c47d8384a22f52ada96e109c | MATLAB | 1,369 | 45 | function Y = squeeze(X)
%SQUEEZE Remove singleton dimensions from a sparse tensor.
%
% Y = SQUEEZE(X) returns a sparse tensor Y with the same elements as
% X but with all the singleton dimensions removed. A singleton
% is a dimension such that size(X,dim)==1.
%
% If X has *only* singleton dimensions, then Y ... |
13a2b1f01ab42fd258e68257654c76bb6893d6d3e37c201d0abbffaf24cd76d4 | MATLAB | 1,370 | 52 | function varargout = ginput_ax(ha,n)
if nargin<2
n=1;
end
k = 0;
xy = zeros(n,2);
hf = get(ha,'parent');
figure(hf);
set(hf,'WindowButtonMotionFcn',@changepointer)
set(ha,'ButtonDownFcn',@getpoints)
hp = get(ha,'children');
ht = get(hp,'hittest');
set(hp,'hittest','off')
axlim = get(ha,'Position');
fg... |
7fa5a3bb7cdc2357491dd972a7c0b7efcd807d0581a2f3731ccfe00acda7584a | MATLAB | 1,370 | 60 | function RT = event2RT(event,srate,time,other)
% <*LAN)<] toolbox
% v.0.1
%
% convert event structure (EEGLAB) to RT structure (LAN)
%
% Pablo Billeke
% 17.10.2012
RT.latency = cell2mat({event(:).latency} )*(1000/srate);
RT.OTHER.names = ({event(:).type});
n=1;
est = zeros(size(RT.OTHER.names));
mequedan = RT.OT... |
98c8aaf663dcc13a055c2d74288e818244489f9174a52686d7112427463b3f2d | MATLAB | 1,370 | 56 | %% Illustration of an arbitrary PDF and its corresponding CDF
% Reproduces Bishop Figure 1.12
%%
% This file is from pmtk3.googlecode.com
function plotPdfCdfDemo()
pdf = @(x) (gaussProb(x,1,2.^2)+gaussProb(x,6,1))/2;
fplot(pdf,[-10,10],'r');
cdf = @(x) quad(pdf,-3.99,x)/5 + 0.01; % /5 + 0.01 is a hack to super... |
9eeec2bb0243e133b1499cc978fa341ebe1c1a13183888b656fa02098994e66d | MATLAB | 1,370 | 59 | function [volInfo,clusters] = iimg_princomp(maskname,image_names)
% :Usage:
% ::
%
% [volInfo,clusters] = iimg_princomp(maskname,image_names)
[dat,volInfo] = iimg_get_data(maskname,image_names); % Get data and principal components
[eigvec, compscore, eigval] = princomp(dat,'econ');
figure;plot(eigval,'ko-');
... |
ae4357392055e41831ca7985062f2f86da027f75e135042bef920eaca79828f5 | MATLAB | 1,370 | 39 | function remove_IEDs_from_ripples(basepath)
% Load ripples, if ripple event overlaps with IED then define as
% IED ( Gelinas et al 2016)
% LB 2023
basename = basenameFromBasepath(basepath);
rip_file = fullfile(basepath,[basename,'.ripples.events.mat']);
ied_file = fullfile(basepath,[basename,'.interictal_spikes_offli... |
2e01d691a83f2162abe10a494eeea4c1e60e7b94305a614efa036ee8719dd10b | MATLAB | 1,371 | 71 | %% Google's PageRank
% pagerank(U,G,p) uses the URLs and adjacency matrix produced by SURFER,
% together with a damping factory p, (default is .85), to compute and plot
% a bar graph of page rank, and print the dominant URLs in page rank order.
% x = pagerank(U,G,p) returns the page ranks instead of printing.
% See als... |
68ac06ac4c793e96e4d0e6da6c24219c5da6786d22a8b3c03654596f29f2e90d | MATLAB | 1,371 | 45 | function [V,Y,XYZ] = tippVol(fname)
% [V,Y] = tippVol(fname)
%
% This is a wrapper function for spm_vol and spm_read_vols. If only one
% output is requested, only the vol structure is loaded and returned.
V = spm_vol(fname);
visstruct = false;
if nargout > 1
if isstruct(V)
... |
7c119f3a60940e842b562591125b62fcf9ece592124968fc1ed501228f52ad49 | MATLAB | 1,371 | 50 | function mesh = create_mesh(outputfn,shape,sizevar,type)
% create_mesh(outputfn,shape,sizevar,type,link,source,meas)
%
% Creates a mesh with the desired properties
%
% outputfn is the filename to save the mesh to
% shape is the shape of the mesh
% sizevar is a structured variable containing the shape sizes
% type is t... |
7e8c09e57dc3a9ca5957fd9066bef738c400678df7ec033ce2d7688b78d36af0 | MATLAB | 1,371 | 46 | %% Test calcium sensitivity on calcium transient and active tension
%% Setting parameters
clear
clc
close all
param.bcl = 800; % basic cycle length in ms
param.model = @model_ToRORd_Land; % which model is to be used
param.verbose = true; % printing numbers of beats simulated
param.cellType = 0; % 0 endo, 1, epi, 2, mi... |
fee543cda96794659d87fcfd18e719aeb4ef33b325a3b3095cad59f6489f8873 | MATLAB | 1,371 | 52 | %% Hierarchical Clustering Demo
%PMTKneedsStatsToobox cluster, pdist, linkage
%%
% This file is from pmtk3.googlecode.com
requireStatsToolbox
%requireBioinfoToolbox
loadData('yeastData310') % 'X', 'genes', 'times');
corrDist = pdist(X, 'corr');
clusterTree = linkage(corrDist, 'average');
clusters = cluster(clusterTr... |
0b9fe1cde5ad34020bfacaf113102705681aa7979a8aeec14541dd11efb7fc81 | MATLAB | 1,372 | 44 | %% Illustration of Newton's method for minimizing a 1d function
%
%%
% This file is from pmtk3.googlecode.com
function newtonsMethodMin1d
figure(); hold on;
xmin = 0.1; xmax = 12;
ymin = -5; ymax = 4;
domain = xmin:0.01:xmax;
f = @(x) log(x) - 2;
Xk = 2;
m = 1/Xk;
b = f(Xk) - m*Xk;
tl = @(x) m*x+b;
plot([xmin, xma... |
0f2ef3f20e0f324fdeda40e8ec8cc0b81658f5af209e7c292236579168ab27f9 | MATLAB | 1,372 | 42 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% To remove high values of DR that we consider as outliers until we reach a
% low coefficient of variation of the discharge rates
% Input:
% PulseTold = previous pulse trains of the motor units
% Distimeold = previous discharge times of t... |
8df568b34d900e0b4fcaae8019d4a39a77a97db9fd1a769e42a372553a74f54a | MATLAB | 1,373 | 34 | function [range, poly] = identify_linear_piece(x, y, window_length)
% Identify a segment of the curve (x, y) that appears to be linear.
%
% function [range poly] = identify_linear_piece(x, y, window_length)
%
% This function attempts to identify a contiguous segment of the curve
% defined by the vectors x and y t... |
e1d907956117b410a0f638113084d66f9d44001f93f04b7bfe4fc9cf57a937d8 | MATLAB | 1,373 | 48 | % meg_moveFiles.m
%% move files
sourceDir = '/e/1.3/p1/denison/Downloads/MEG';
exptDir = meg_pathToTAMEG(expt, user);
success = zeros(1,numel(sessionNames));
for i=1:numel(sessionNames)
if success(i)==0
sessionDir = sessionNames{i};
disp(sessionDir)
dataDir = sprintf('%s/%s', expt... |
f0b19cbe8ec1327ea0bddb908ce437c70cd0ecd5ffd00f2e77b3b5b38fdef7c3 | MATLAB | 1,373 | 48 | function [idx_keep, idx_reject] = commonDistributions(binstep, inps)
% take a binstep and a set of distributions (in a cell array) as input
% returns for each distribution the indices of the values that are common
% in all of them
% Anne Urai, 2015
if ~exist('binsize', 'var'), binstep = 0.020; end
% make behaviour of... |
0772cb7a068074d24135a3c78424452929d8c97f9e1a58c07ae4ef5278a10440 | MATLAB | 1,374 | 49 | function [output] = volumefillholes(input, along)
% VOLUMEFILLHOLES is a helper function for segmentations
%
% See also VOLUMETHRESHOLD, VOLUMESMOOTH
% ensure that SPM is available, needed for spm_bwlabel
hasspm = ft_hastoolbox('spm8up', 3) || ft_hastoolbox('spm2', 1);
if nargin<2
inflate = false(size(input)+2); ... |
756f39382ff8987882b5f3d49de87433c8d5f02d47e85c9b5f762ee7957ca90c | MATLAB | 1,374 | 61 | function EEG = InsertMatFileIntoEEG(EEG, behDataFolder, mFileName)
% insert mat file name into EEG
% and the matfile
% Inputs:
% EEG = eeglab structure
% behDataFolder = path where mFile is
% mFileName [optional] = name of mat file to load, will be taken from EEG
% name info if not given
%% inputs
if ~exist(... |
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