sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
2a9ee2aeaf615bdfab6b848f5ff58c328002653d6b26c0e6fbf205add89185b5 | MATLAB | 1,318 | 35 | % This function creates a new file with one of each channel type and then fills each channel with random data.
clear;
% add path to CED code
cedpath = 'C:\Users\james\Documents\MATLAB\CEDMATLAB';
addpath(cedpath);
% load ceds64int.dll
CEDS64LoadLib( cedpath );
fhand = CEDS64Create( 'C:\Spike7\PrevNTest.smrx', 32, 2 );... |
ab795801ca50fa03201efab4c1c5bd03de600950e2cdf0add7cbd49bc8845dc8 | MATLAB | 1,318 | 43 | function results = vl_test_sift(varargin)
% VL_TEST_SIFT
vl_test_init ;
function s = setup()
s.I = im2single(imread(fullfile(vl_root,'data','box.pgm'))) ;
[s.ubc.f, s.ubc.d] = ...
vl_ubcread(fullfile(vl_root,'data','box.sift')) ;
function test_ubc_descriptor(s)
err = [] ;
[f, d] = vl_sift(s.I,...
... |
64a307505109eae34f0318393bd6509d18d617b5d427a6eb5f3d7bf734beaf2f | MATLAB | 1,319 | 44 | % Author: Zachary Chiang, Buenrostro Lab, Harvard University
% Uses cross correlation to register one stack to another in x and y
function[stackBr] = simple_offset(stackA, stackB)
stackBr = stackB;
% calculate correlation prior to registration
max_corr = corr(stackA(:),stackB(:));
pre_co... |
e257c1392352ec7db15156eb64fc3258d6bbacd085c96f175f631a5345bd0dfc | MATLAB | 1,320 | 45 | function Evaluation_AxDKI_RBC_Paper
path_of_script = fileparts(mfilename('fullpath'));
addpath(genpath([path_of_script filesep 'Functions']));
number_of_noise_realizations = 2500;
% simulated_SNRs = [1/sqrt(2):(1/sqrt(2)):200/sqrt(2)]; %SNR divided by sqrt(2), L=number of coils = 2
simulated_SNRs = [1:1:200];
AxTM =... |
169727c64eef9272dab61590b9d6c41e27982b1231331739a7c87122c7f5991f | MATLAB | 1,321 | 74 | %
% Compute the 'prefatt' statistic (preferential attachment exponent),
% by reading the 'dat/pa.%.mat' files.
%
% We only compute this for temporal networks, even though
% non-temporal networks also have a SPLIT, but since that split is
% random, it wouldn't be interesting.
%
% PARAMETERS
% $network
%
% INPUT FILES... |
cda6cc815cb3d28b64dc6ac6a45c719721d3854ce681dad2bd66194155952417 | MATLAB | 1,321 | 46 | function d = fastEuclideanDistance(a,b)
% DISTANCE - computes Euclidean distance matrix
%
% E = distance(A,B)
%
% A - (DxM) matrix
% B - (DxN) matrix
%
% Returns:
% E - (MxN) Euclidean distances between vectors in A and B
%
%
% Description :
% This fully vectorized (VERY FAST!) m-file computes the
% E... |
0aa52fca56c2e264fd73206563d01f6980235029b53bef272f6522ac4c965b2f | MATLAB | 1,323 | 49 | % fig1_no_oscil_ex.m
% generates figure 1 using stored values used for manuscript
%%
clear all;
close all;
clc;
%% addpath if not added yet
% assumes script run within local directory
scriptdirs = {'../../plot';'../../helper_functions'};
addpath(scriptdirs{:})
datadir = pwd;
datafile = 'fig1_no_oscil_ex_data.mat';
dat... |
6660805af47766a8de0cf549fd2acc03c82f7b156d6cf223ae2a29c7c4fa0a65 | MATLAB | 1,324 | 28 | function [TagUnitNames] = taggedUnits( Session )
%returnd the names of tagged units
% Detailed explanation goes here
switch Session,
case 'POm36', TagUnitNames=[7,1;7,2;7,3;11,3;15,2];
case 'POm31', TagUnitNames =[6,2;14,2;16,1];
case 'VPM25', TagUnitNames =[1,1;1,2;2,3;3,2;4,2;5,1;6,3;7,1;7,2;7,3... |
991df0aee99856b1fce4d50ce5654b024cda000ae3c504ee90a191cbcddcd5f0 | MATLAB | 1,324 | 40 | [outcomes] = get_pop_sparseness_before(ds_events,2,30,0)
%%
[ds_unit_angles,ds_within_angles,unit_angles,within_angles] = get_vector_angles(outcomes,ds_events);
%%
figure(91)
utils.set_figure(20)
hold on
bar([1,2,3],[mean(ds_unit_angles(1,:),'omitnan'),mean(ds_unit_angles(3,:),'omitnan'),mean(ds_unit_angles(2,:),... |
e0b722da88925a0521ddd40839cc049d2dc41e043e85c1dc283a7d2bc71f09e8 | MATLAB | 1,324 | 47 | function [bestMap, bestCombination, metricValue] = best_flip_combinations_correlation(maps)
numTrials = size(maps,3);
flipCombinations = flip_combinations(numTrials);
numCombinations = size(flipCombinations,1);
flipMetric = nan(numCombinations,1);
flippedMap = nan(size(maps,1), size(maps,2), ... |
5a5d95d682ae883adc7ec5577f31c19c26c2a2e2a1df1936c3ac6eb890a7dbfa | MATLAB | 1,326 | 34 | clear
%load F1s.mat
filenames = {'blood_vessel_10Hz_part11','blood_vessel_10Hz_part12','blood_vessel_10Hz_part21','blood_vessel_10Hz_part22'};
radii = [3:7];
SNRs = [7:4:23];
dataset = zeros(length(filenames),length(radii),length(SNRs));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,r] = ind2sub([l... |
93e16fbf8f6bd18b5564dc16644248fed41dd2b822ac45e6c8afb8c1b98edd4f | MATLAB | 1,327 | 38 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
b628bb707f6f1abb971af3bbf9f59ad2906f8682c1757b2d522e0d3078e52728 | MATLAB | 1,327 | 60 | clear;
close all;
clc;
initime = clock;
addpath('funcs');
Delta_e = 0.4; % 0.3
Delta_i = 0.04; % 0.04
Iattn = 0.02;
time = 4000;
[r,v,~] = once(Delta_e, Delta_i, Iattn, time);
sig = r(5,100001:end,1);
sig = sig';
%% xt
sigMean = mean(sig);
xi_xMean = sig - sigMean;
xt = zeros(length(sig),1);
xt(1) = xi_xMean(1);
f... |
557e887fe49b63e632ca516328abcc02fe54b33cde081a4675c72badd31db6b4 | MATLAB | 1,329 | 36 | function expt = addTrial(expt, trial, kTrial)
expt.trial(kTrial).duration = trial.duration;
varnames = fieldnames(expt.type);
for kVar = 1:numel(varnames)
vname = varnames{kVar};
if ~isfield(trial, vname)
error('Variable [%s] is missing', vname);
end
switch expt.type.(vname)
case ... |
a1645c3081e3d02f2b39fab23d03bc0db6691340012dfee06b0a151ace087047 | MATLAB | 1,329 | 45 | function handle = ternary_axes_titles( handle, varargin )
%ternary_axes_names plot axes titles
%
%
% Check if handle is given
if (nargin==0)
error('Too few inputs')
end
% Create defaul settings if no extra arguments supplied
if ( nargin < 2 || isempty( varargin ) )
varargin = { ... |
a36dadc7773f2087d636cb23aa6a7d44c58a6916ba432565951720988507c79b | MATLAB | 1,329 | 56 | function output = relu(input, varargin)
% Function to apply linear rectifier, which removes negative numbers and
% can scale max height of response
%
% output = relu(input, varargin)
%
% INPUT:
% input : (vector or matrix) pRF time series (time points by pRFs)
% [slope] : slope of RELU function, if empty, ... |
1171e73c219ca56a60143963602dce3a40e03cdc346e912c25d2efd49f7155d0 | MATLAB | 1,330 | 38 | function handles = validate_path_wb_command(handles)
local_wb_command_path_file=which('local_wb_command_path.mat');
if isfile(local_wb_command_path_file)
load(local_wb_command_path_file)
handles.paths.wb_command=local_wb_command_path;
end
try
local_wb_command_exist=isfile(handles.paths.wb_command);
catch
... |
2764bd134900ce1edc30e2703d1a716a2a817c29234b7914bb541ff7624fc48b | MATLAB | 1,331 | 48 | % mglSetSound.m
%
% $Id:$
% usage: mglSetSound(s,'propertyName',propertyValue)
% by: justin gardner
% date: 08/10/15
% purpose: Set properties of a soundID that has been created with mglInstallSound
%
% t = 0:2*pi/8191:2*pi;
% waveform = sin(440*t);
% ... |
ab6b55fb8b15771122a0905437b46f8be0273b9d1c7635fd55cd772a22570218 | MATLAB | 1,331 | 66 | function [ax] = plotExpToISI(rpInfo,HLix,priColors,figprefs)
%plotExpToISI.m 7/11/22
if isempty(priColors)
priColors = containers.Map();
priColors('HL') = 'k';
priColors('bars') = [0.6 0.6 0.6];
end
isiLags = rpInfo.isiLags;
isiPDF = rpInfo.isiPDF;
tickdir = 'out';
dobox = 'off';
dogrid = false;
doleg = ... |
1ba26be6407f66fc11b7566ba16e896f453671236b85d7ac60185b6095161376 | MATLAB | 1,332 | 46 | function results = vl_test_gmm(varargin)
% VL_TEST_GMM
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vl_test_init ;
end
function s = setup()
randn('st... |
55232b526ee80ab6ab8030d309f483994e9ecebcf1bf8ec7bfc277333ec4673e | MATLAB | 1,332 | 43 | % this script create a 3-D scatter plot showing different pattern of the
% dynamics, including ON-ON, OFF-ON, OFF-OFF and ON-OFF
% 3 dimensions are: DeltaE (x), DeltaI (y), and Isens(z)
rootFolder = "figure_40_diff/";
% ON-ON
data = readFilename(rootFolder+"asAllCriteria/*_*_*_*.png",'%f_%f_%f_%f');
data( all(~data,2),... |
64fa32059b71120d2a4ce27706fac52e4e07f377a9b90245283f053c91c49470 | MATLAB | 1,332 | 56 | function res = voc_eval(path, comp_id, test_set, output_dir)
VOCopts = get_voc_opts(path);
VOCopts.testset = test_set;
for i = 1:length(VOCopts.classes)
cls = VOCopts.classes{i};
res(i) = voc_eval_cls(cls, VOCopts, comp_id, output_dir);
end
fprintf('\n~~~~~~~~~~~~~~~~~~~~\n');
fprintf('Results:\n');
aps = [res(:... |
7f674b015c96bc99fe106cb994eb94696e6897ffaeb4baf15d4e1201b1c061de | MATLAB | 1,332 | 37 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
d3245dc9bd33aaf7f1b95eced3bf2e9e719d60059dbcf622c7f7d47c50b1f9e3 | MATLAB | 1,332 | 37 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
11a3aaa3fa8caa714cce76923fcace8b9a6cade3b793716bbfbe6b6ecf6e3cdd | MATLAB | 1,333 | 35 | function [data] = ml_singleunits_load_nlx_mclust( nvtFilename, tfileFolder )
% This function loads all of the t-files in the given folder, and uses
% the neuralynx nvt file in order to determine the bits of the tfiles
% so that they are loaded correctly.
[nlxNvtTimeStamps_mus, ~, ~, ~, ~, ~, ~] = ml_nlx... |
83f6fcde18ee6431d5a134ee38c93d5065e3d9d9dcb7aca107f1792004af53a0 | MATLAB | 1,333 | 39 | % VL_DEMO_MSER_CMD Demo: MSER: test command line utility
pfx = fullfile(vl_root,'results') ;
if ~ exist(pfx, 'dir')
mkdir(pfx) ;
end
p_img = fullfile(vl_root,'data','spots.jpg') ;
p_pgm = fullfile(pfx,'spots.pgm') ;
p_sed = fullfile(pfx,'spots.mser') ;
p_frm = fullfile(pfx,'spots.frame') ;
p_tmp = fullfile(pfx,'spo... |
c4feaec0600ca26017f6dc1ad7f630ae9c17505dbd87bc0515fd7dda41bf7333 | MATLAB | 1,333 | 32 | function mltp_plot_best_match_rotations_rect_per_session(obj)
bfo_dist = [];
sessionNames = {};
for iSession = 1:obj.Experiment.getNumSessions()
session = obj.Experiment.getSession(iSession);
tmp = load(fullfile(session.getAnalysisDirectory(), 'best_match_rotations', 'best_match_rotations.m... |
57f5858c49490ef2d9b1081e219e0f3325c25cb743677cfef1b71e5a5775b154 | MATLAB | 1,334 | 45 | function [matrices, n_nodes, personList, filenames, uniqueStrings, numFiles] = load_matrices(directory,pattern,varargin)
% Load the matrices given the pattern that represents the groups
% Get a list of CSV files in the directory
fileList = dir(fullfile(directory, "*-"+pattern+"*.csv"));
% Initialize the 3D matrix and... |
91fa0e02e6e26f90daecd19b467c728c9d2f1cda6254efcde2b325cbcdd820e0 | MATLAB | 1,334 | 41 | function p = tp(t,v);
%TCDF Student's T cumulative distribution function (cdf).
% P = TCDF(X,V) computes the cdf for Student's T distribution
% with V degrees of freedom, at the values in X. V must be a
% scalar or have the same size as T.
%
% This is an alternative to the TCDF function that is implemented
%... |
3a5c3f89013565575d1fc9c5ad1b3a7dd31b61a48f0415dbece441de4f53f383 | MATLAB | 1,335 | 40 | function J = getJaccard(A,B)
%
% call:
%
% J = getJaccard(A,B)
%
% Compute the Jaccard Index, a measure of similarity between two binary (0,1) vector-sets A, B.
% E.g. to compute the Jaccard Index between two network community partitions, first assign each
% link to the corresponding community (e.g. using ... |
1702900374a95c464a227fc9ad6e508ce28a90a8986e1881c39a2736002219f7 | MATLAB | 1,336 | 48 | function b0 = spm_load_priors(B)
% Loads the tissue probability maps for segmentation
% FORMAT b0 = spm_load_priors(B)
% B - structures of image volume information (or filenames)
% b0 - a cell array of tissue probabilities
%____________________________________________________________________________
% Copyright (C) 20... |
2a7091418fd1b9f9d2c87abd970016bae7f2c821b6c61f4dd5643429b69fb861 | MATLAB | 1,336 | 54 | %% Open File
clear;clc;
dbstop if error
smrFile = 'G:\My Drive\Expmt Data\2019_07 - Alex Bonsai+Spike2 Sync Test Files\08301\data08301.smr';
%% Step 1 Allign Data
% Read Bonsai csv Files
dataTable = readtable('G:\My Drive\Expmt Data\2019_07 - Alex Bonsai+Spike2 Sync Test Files\08301\data08301original.csv');
% Extrac... |
6871dd20cf34213de13e12b4f7dc7bf550a564cb25049006db830969afed24fe | MATLAB | 1,336 | 53 | function [] = plotSingleChannel(probein, srcIDin, detIDin, linestylein, colorin)
%PLOTSINGLECHANNEL Summary of this function goes here
% Given a probe, srcID, and detID, this functions draws a line between
% optodes. Used for MOBI visualization to update individual channels
%'Color',[.6 0 0]
%'LineStyle'
switch n... |
10d35220bbef1f9de6835fc551800f769d4fec4dae0f2d6f9af0eda1e1c70174 | MATLAB | 1,337 | 55 | function [HDR]=fefopen(arg1)
% FEFOPEN opens and reads FEF file
%
% HDR=fefopen(HDR)
%
%
% see also: SOPEN
%
% References:
% <A HREF="ftp://sigftp.cs.tut.fi/pub/eeg-data/standards/cenf060.zip ">About CEN/TC251</A>
% $Id: fefopen.m 8776 2013-11-14 09:04:48Z roboos $
% Copyright (c) 1998,2004,2008 Alois Schlo... |
a78287ae2aa13e3feb6b3f165293a15e4377895786b1070864e6a6afae146880 | MATLAB | 1,337 | 63 | % script for quick plots of average leg steps, FicTrac, opto data
datPath = '/Users/hyang/Dropbox (HMS)/OptoBehaviorAnalysis-Helen/AnalyzedData/220802_LegStepsFictracOpto_1Fly';
% unilateral
datNames = {'220415_fly01','220417_fly01','220419_fly01','220428_fly01',...
'220517_fly02'};
legInd = [4 5 6 1 2 3; 4 5 6 1... |
016019aceda753f96ee0bdd3a90812374cbcf75fbb29276e98f70773d5b3fa50 | MATLAB | 1,338 | 25 | function Ftavg = wdmSignalscale(wdm_params,psf_params, vol_params)
% modified for 1p version.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
nidx = double(wdm_params.nidx); % refractive index []
nac = double(wdm_params.nac); ... |
2a578717b770da1322a9ac6d3cf0ac8dffa40a115bcc83ae228c53bdc3bd3b81 | MATLAB | 1,338 | 39 | %% runme_simSeqPRF
% Add toolboxes: tbUse({'Psychtoolbox-3', 'simseqPRF'})
% at the scanner:
% set trigger box to these options (per JG):
% change modes / manual configure / HHSC 1X5D / USB / HID NAR NO5
subject = 'test';
uniqueRuns = 2;
totalRuns = 2;
versionNr = 5; % each subject has its own ... |
08e62cec54581804162e1752fc4a3ed0f4fee9c386c25297a5ddb14201434ca4 | MATLAB | 1,339 | 52 | function trajfns = fix_GetTrajFields(trx)
nflies = numel(trx);
fns = fieldnames(trx);
nottrajfns = {'timestamps','x_mm','y_mm','theta_mm','a_mm','b_mm','xpred','ypred','thetapred','dx','dy','v','wing_lengthl_mm','wing_lengthr_mm'};
istrajfn = false(1,numel(fns));
idxreal = false(1,nflies);
for fly = 1:nflies,
idxrea... |
9f165451be80f2b572e409d25fc160d30b2965fbeb42dcd18753d070a66b7643 | MATLAB | 1,339 | 39 | function results = vl_test_binsearch(varargin)
% VL_TEST_BINSEARCH
vl_test_init ;
function test_inf_bins()
x = [-inf -1 0 1 +inf] ;
vl_assert_equal(vl_binsearch([], x), [0 0 0 0 0]) ;
vl_assert_equal(vl_binsearch([-inf 0], x), [1 1 2 2 2]) ;
vl_assert_equal(vl_binsearch([-inf], x), [1 1 1 1 1]) ;
vl_a... |
00ecf44bd99765d3954be79a6a2ae15bfec79a04869452c464a676eebe937574 | MATLAB | 1,340 | 33 | clear
%load F1s.mat
filenames = {'c25_59_228','c25_123_348','c25_163_267','c27_12_326','c27_114_176','c27_122_121','c28_83_210','c28_161_149','c28_163_244'};
radii = [3:8];
SNRs = [7:4:23];
dataset = zeros(length(filenames),length(radii),length(SNRs));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,r... |
1325dd6000f8c4b6eb10f3ee8ef03cf6959fd93f7c13250de87d321fad4cd487 | MATLAB | 1,341 | 31 | %IM2COLSTEP Rearrange matrix blocks into columns.
% B = IM2COLSTEP(A,[N1 N2]) converts each sliding N1-by-N2 block of the
% 2-D matrix A into a column of B, with no zero padding. B has N1*N2 rows
% and will contain as many columns as there are N1-by-N2 neighborhoods in
% A. Each column of B contains a neighborhood ... |
3c753ad0d0c72e3534e2048022920c9819b0a7d5446fbb7c01c209caf2b11ff5 | MATLAB | 1,342 | 43 | function baseName=directoryBaseName(parameterFile)
% Get directory base name (i.e. the common stem of each section directory) from the acquisition parameter file
%
% function baseName=directoryBaseName(parameterFile)
%
%
% Purpose
% Data from each section are stored in a different directory. We need to know the
% name... |
28dc1ed4069de39257f8c2e71884ed0825000ceafeaed7d3fefa855b6938c0e2 | MATLAB | 1,343 | 33 | % This file is part of WAFO.
%
% WAFO 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 3 of the License, or
% (at your option) any later version.
%
% WAFO is distributed in the hope that i... |
5a1a65d1831365b4673e8132acd18d9ef18015772284c77326981c38883c43ac | MATLAB | 1,343 | 41 | function handles = UpdateFlyPathVisible(handles)
% makes fly path visible or invisible
% splintered from fixerrorsgui 6/21/12 JAB
%%%% this code should probably be merged into fix_FixUpdateFly, since they're *almost*
%%%% always called together and contain some duplicated logic
% example glitch caused by this incomple... |
7e402f89e1fdc3d8f222907756832634da40a6676734da970de35fdde8aff4ee | MATLAB | 1,343 | 49 | function [CIJ,K] = makefractalCIJ(mx_lvl,E,sz_cl)
%MAKEFRACTALCIJ Synthetic hierarchical modular network
%
% [CIJ,K] = makefractalCIJ(mx_lvl,E,sz_cl);
%
% This function generates a directed network with a hierarchical modular
% organization. All modules are fully connected and connection density
% decays ... |
4c4069978c661f6ef45c304b1217eb634ed60e49a0a6d9590df47a9fa815b009 | MATLAB | 1,344 | 41 | function nii_deface_TRACE
%dirs = dirVisible('/Users/chris/SOOP/bids/sub-*');
%dirs = dirVisible('/Volumes/SOOP/soup/sub-*');
dirs = dirVisible('/Users/chris/SOOP/sooper/sub-*');
for i = 1 : length(dirs)
folder = fullfile(dirs(i).folder, dirs(i).name, 'anat');
traces = dirVisible(fullfile(folder, '*_TRACE.nii')... |
b4162bb461105f4e57cd80fbda27b076b4cb4cde9f74db3597bab9fa6666da05 | MATLAB | 1,345 | 58 | function qDemo
% a demo how to rotate a point around an arbitrary axis by using
% quaternions
% REMARK:
% 1) enless loop, hit CTRL+C to break
%
% VERSION: 05.03.2011
% point to be rotated
P = [ 0.1, 0.4, 0.4 ];
% vector around which the rotation will be performed
u = [ 0.5, 0.5, 0.5 ];
% for camera p... |
07776f8d39282e052ed2b228260c9f9102ee82d15832c74027059dd275d60d6e | MATLAB | 1,346 | 56 | %% Find Correct files
clear;clc;close all;
currentDirectory = cd;
allFiles = dir([currentDirectory, '\**\**']);
%%
relevantFiles = allFiles(~[allFiles.isdir]);
relevantFiles = relevantFiles(contains({relevantFiles.name}, {'.'}));
%relevantFiles = relevantFiles(contains({relevantFiles.name}, {'cs'}));
%%
for i = 1:l... |
084d16b8fc318657743fd7beaa48de13e84a500a5a7e18edce79b9fae25de6f9 | MATLAB | 1,346 | 34 | function ret=SONSetTextMarkChan(fh, chan, sPhyCh, bufsize,...
comment, chantitle, rate, units, points)
% SONSETTEXTMARKCHAN creates a TEXTMARK channel
% FH = SON file handle
% CHAN = the channel number for the new channel
% SPHYCH = the physical channel ... |
33e20aff3219f88416dd8f3aa54e4733d48859ae9b9a227853420a7106c77f00 | MATLAB | 1,346 | 56 | function [mapMean, mapStd] = ml_bs_meanstd_xy(bs, x, y, v)
if size(x,1) ~= 1 && size(x,2) ~= 1
error('Invalid size of x. Should be 1xN.');
end
if size(y,1) ~= 1 && size(y,2) ~= 1
error('Invalid size of y. Should be 1xN');
end
if size(v,1) ~= 1 && size(v,2) ~= 1
... |
ddb4560c563e8d66c6341ed30a873c9c33675482f87491eccd25c796665af121 | MATLAB | 1,346 | 47 | function success = calculate_embeddings(folder_name)
% Given the spectrogram, calculate the embedding for every time point
addpath(genpath(pwd))
%set up parameters
parameters = load_parameters(folder_name);
if parameters.TrackOnly
success = true;
return
end
load('re... |
5a439b6e27397a0007f2303fbd942aa805528773ec9d6f0f381810bff250123a | MATLAB | 1,347 | 41 | % This script loads mesh data into the MATLAB workspace. The data include
% surface meshes and the potential integrals. It also computes useful
% sparse matrices for GMRES speed up
%
% Copyright SNM/WAW 2017-2020
%% Add path (Windows/Linux commands are different)
s = pwd;
if(~isunix)
slash = '\... |
8144ba6b4b32f077ad6d5d7f29ff553d5fa426ec4abaa9282afe84203dfc0965 | MATLAB | 1,347 | 57 | function [videoFrames] = ml_limelight_read_video(fn)
% This function read a limelight video file ("llii" extension).
if isempty(fn)
error('Filename is empty');
end
if ~isfile(fn)
error('The file does not exist (%s)\n', fn);
end
fileId = fopen(fn);
if fileId == -1
... |
af95565218d58ca8508742e60375460d92bba173d4b2f21e6a566c541ef0bd83 | MATLAB | 1,347 | 61 | %
% Plot a distribution in Beta style.
%
% PARAMETERS
% values (n*1) Values; must all be larger than zero
% color (optional) Color of the line
%
function beta_plot(values, color)
if ~exist('color', 'var')
color = [0 0 1];
end
font_size = 24;
[counts ids] = sort(values);
maxcount = counts(end);
freq = ... |
2d099e336fe9bc4f4f94716434731b5ca78c8d0668f49c546ceb114955c494b7 | MATLAB | 1,348 | 27 | function copy_result(path_of_script,fit_methods,inx_voxel,voxel_folder,index_snr,simulated_SNRs)
folder_1 = 'AxDKI';
folder_2 = 'standardDKI';
folder_3 = 'standardDKI_RBC';
folder_4 = 'AxDKI_RBC';
directory_destination = [path_of_script filesep 'Results_And_Figures' filesep 'Fit_Results' filesep... |
65ae51d58d3f21a4b88954586a4b36aad7342f9924cfa9cf16e2c6628734d67e | MATLAB | 1,348 | 57 | function [entropy, p_i] = presence_entropy(data, base)
%Degree Structure (Presence) Entropy
% Calculates entropy based on the network's strength distribution. Exact
% formulation from Wen & Jiang (2019), refferencing Wang et al., 2006.
% Input:
% data: a Time X StateStrength matrix OR a vector of State Stre... |
721833817c6d856e166653991b8a646cb49a5de05421f5062ea02cba174d992c | MATLAB | 1,348 | 53 | function[out,h]=SONADCToSingle(in,header)
% SONADCTOSINGLE scales a SON ADC channel to single precision floating point
%
% [OUT {, HEADER}]=SONADCTODOUBLE(IN {, HEADER})
%
% Applies the scale and offset supplied in HEADER to the data contained in
% IN. These values are derived form the channel header on disc.
% ... |
021bc5b1515880fbd4598e9dbcc100ca162c7e19e8ff7d6268ddeee7cf4de161 | MATLAB | 1,350 | 52 | % mglTestCoords: an automated and/or interactive test for rendering.
%
% usage: mglTestCoords(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test changing the coordinate transform within a frame.
% ... |
0c637aaffa4cbfb7bf483cde620ef230b440746eb275ca02f14d0567f55af7c9 | MATLAB | 1,350 | 54 | function[combination_results]=try_combinations(combos,intensities)
%% CREATE VARIABLES
identities=cell(length(combos),1);
all_centroids=cell(length(combos),1);
sumds=cell(length(combos),1);
all_silhouettes=cell(length(combos),1);
mean_silhouettes=nan(length(combos),1);
centroids= cell(length(combos),1);
%% RUN... |
3bfd404dfa4f1d00b100a86166c7753e45989615c236931c5844a666f38a5e73 | MATLAB | 1,351 | 48 | function [] = ExtDataFig07_AveSong()
% Code for plotting the population averaged ΔF/F for pulse and sine song around song-type in Extended Data Fig. 7c,e,h,j.
%% parameters
% GT = 'fruD'; % Extended Data Fig. 7c
% GT = 'fru'; % Extended Data Fig. 7e
GT = 'nsybDnonfru'; % Extended Data Fig. 7h
% GT = 'nsybnonfru'; % Ex... |
061c8408cc0e1673b0b95b9da678567ba9a353e8aafdcb279463f73c76be0170 | MATLAB | 1,352 | 50 | function c = DynECNNInvProbV1Cons(x,Imat_t,dsr_t,tn,ni,nh,no,msteam_t,mfg_t,Tsteam_in_t,Tfg_in_t,cpfg_t,cpsteam_t,delta,data,t_steady)
whd = reshape(x(1:ni*nh),[ni,nh]);
wod = reshape(x(ni*nh+1:ni*nh+nh*no),[nh,no]);
wfd = reshape(x(ni*nh+nh*no+1:ni*nh+nh*no+no*nh),[no,nh]);
bhd = (x(ni*nh+nh*no+no*nh+1:ni*nh+nh*... |
92f9512acd1a885d48d8d9adb9e2285e6b8dc1afa9d0952704df51d168daafd8 | MATLAB | 1,352 | 41 | function [el, ibibin, ibiwin, ylim, fs, cancelFlag]= uigetIBIinfo(single,list)
%
% by Michela Chiappalone (26 Maggio 2006)
% modified by Noriaki
cancelFlag = 0;
fs = [];
ibibin = [];
ibiwin = [];
ylim = [];
el = [];
PopupTitle = 'Inter Burst Interval - IBI Histogram)';
PopupPrompt = {... |
50f72283c43730943a5f424f79803dd341aa2c8775f44cb4095cae65c5ed0aa2 | MATLAB | 1,353 | 34 | function [ns_RESULT, nsEventInfo] = ns_GetEventInfo(hFile, EntityID);
%ns_GetEventInfo Retrieves information specific to event entities
%
% Usage:
% [ns_RESULT, nsEventInfo] = ns_GetEventInfo(hFile, EntityID)
%
% Description:
% Retrieves information from the file referenced by hFile about the
% ... |
6c2d0752ef5f97476724be60664361a5bb40af279ba1c2973a7a2513375cf345 | MATLAB | 1,354 | 38 | % to make composite figure based on arp/formin IPI mixed data
p2p_figure_Arp_or_formin(1)=p2p_by_arp(1);
p2p_figure_Arp_or_formin(3)=p2p_by_formin(3);
p2p_figure_Arp_or_formin(4)=p2p_by_arp(4);
p2p_figure_Arp_or_formin(5)=p2p_by_formin(5);
p2p_figure_Arp_or_formin(6)=p2p_by_arp(6);
p2p_figure_Arp_or_formin(7)=p2p_by_fo... |
ff32ffb2c4c75db8e23f09bad89a76f5775edafcc59f59fa7b2663617ad3e348 | MATLAB | 1,354 | 36 | % VL_LIOP Local Intensity Order Pattern descriptor
% D = VL_LIOP(I) computes the LIOP descriptor of an image I, as
% described by [1]. I is a gray-scale square image with odd side
% length of class SINGLE. D is a column vector containing the LIOP
% descriptor of I. Note that LIOP is also integrated in the VL_CO... |
cbbabf6d7a1f5208600ac5b7ada049bc3f92a46cc3374d1f2129fbf8a84528e5 | MATLAB | 1,355 | 45 | % findLegVel.m
%
% Function that takes in shifted, rotated, and normalized leg position and
% returns leg velocity.
% Performs Gaussian process smoothing on leg position prior to calculating
% velocity
%
% INPUTS:
% srnLeg - shifted, rotated, normalized leg position matrix (output of
% shiftRotateNormalizeLegPos... |
cdb158ac3b59df7894a36be54ad35c8c19314c329da134437cad7ec3a4da0745 | MATLAB | 1,355 | 69 | function [ax] = plotOptToISI(rpInfo,priColors,figprefs)
%plotOptToISI.m
if isempty(priColors)
priColors = containers.Map();
priColors('HL') = 'k';
priColors('bars') = [0.6 0.6 0.6];
end
isiLags = rpInfo.isiLags;
isiPDF = rpInfo.isiPDF;
tickdir = 'out';
dobox = 'off';
dogrid = false;
%9/1/22
doleg = opt... |
1aa1c4aecce1bcae7e6e46905405be75f71d11434a19340a6cf326640b6ab58a | MATLAB | 1,356 | 31 | %% plot the individual traces and their means
subplotfigure = figure();
%% 1) Mean of GCaMP %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
meanGCaMP = subplot(3, 1, 1);
plot(segMat_405_Control', 'color', lightGreen); hold on;
plot(nanmean(segMat_405_Control), 'k', 'linewidth', 2)
title([direction ' Segment -... |
8a73c0f520d543d77e5d166e884452e1f8b34fab3693cccea87946663be13669 | MATLAB | 1,356 | 36 | %Return the full paths of the .jar files of the Apache POI library
%
%EXAMPLE USAGE
% >> get_poi_paths
%
%OUTPUT
% poi_files - Full paths for all .jar files in the Apache POI
% library
% missing_poi_files - Full paths for .jar files in the Apache POI library
% ... |
94f30c60a05b7c47e93f1445bee3a42c43b118e2610bd652a01a2b6b7a24d9b1 | MATLAB | 1,356 | 42 | function fitStr = simseq_LMMwrapper(dependentVar,varargin)
% Parse inputs
p = inputParser;
p.addRequired('dependentVar',@ischar);
p.addParameter('predictorVar',[], @iscell);
p.addParameter('randomInterceptVar',[], @iscell);
p.addParameter('randomSlopeVar',[], @iscell);
p.parse(dependentVar,varargin{:});
% rename varia... |
ce32d42bc4e2670d4fb63be59c98a0b82bba78ced28680df3dde2708bbc7eab2 | MATLAB | 1,356 | 43 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [T,E] = get_prob_stats_for_table(R, probNames)
T = [];
E = [];
for iField = 1:length(probNames)
fn = probNames{iField};
% We have to treat the excluded data differently so check
... |
240f0fa9db0737cb1575ed1ec322038d326c1a44b8627a837841650e15fae3dd | MATLAB | 1,357 | 42 | % This script loads mesh data into the MATLAB workspace. The data include
% surface meshes and the potential integrals. It also computes useful
% sparse matrices for GMRES speed up
%
% Copyright SNM/WAW 2017-2020
%% Add path (Windows/Linux commands are different)
s = pwd;
if(~isunix)
slash = '\... |
4da7dd4697efb6328b22085e3e3da0e477bb4545fea95dad120dcb219802fc95 | MATLAB | 1,358 | 43 | % mglTextDraw.m
%
% $Id$
% usage: mglTextDraw(str,pos,hAlignment,vAlignment)
% by: justin gardner
% date: 05/13/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: wrapper around mglText and mglBltTexture to
% draw some text on the string. If... |
249d4f942bfbe3d0a9b88894e6901193a58f9e97706a6396f83db438cc17a383 | MATLAB | 1,359 | 44 | function [DATA,INFO] = LCdataload()
%Loads data into a structure format from a lab chart .mat export
% Written by Mitchell Prostebby, 2023
disp('Please choose a labchart file')
[file,path] = uigetfile;
load([path file])
if sum(firstsampleoffset,'all','omitnan')>0
disp('Error: First sample of lab chart fil... |
a61425ff1270eaff3e1066678d3f0f1be4c2ea195c129c83060f37feeff16482 | MATLAB | 1,359 | 38 | function [ns_RESULT, hFile] = ns_OpenFile(filename);
%ns_OpenFile Opens a neural data file
%
% Usage:
% [ns_RESULT, hFile] = ns_OpenFile('filename.ext')
%
% Description:
% Opens the file specified by filename and returns a file handle,
% hFile, that is used to access the opened file.
%
% Par... |
749a44a2f574f6669033878fd14e6d53feedc1cf2e1d6b695647bf3e00bffe32 | MATLAB | 1,361 | 49 | % Function File: [dydx, y, x] = ndiff (y, x)
%
% Calculates the first derivative (dy/dx) at each point (p) by
% numerical differentiation using the following equation:
%
% y(p+1)-y(p-1) / x(p+1)-x(p-1)
%
%
% ndiff v1.5 (last updated: 16/09/2011)
% Author: Andrew Charles Penn
% http... |
1f816c081ea77a59d608e574fc0ddc4b4e986ab97305efa13139c4160378d230 | MATLAB | 1,362 | 39 | function [r] = ml_core_all_pixel_rotated_pixel_cross_correlation_90deg(T1, T2, varargin)
p = inputParser;
p.CaseSensitive = false;
checkmatrix = @(x) isnumeric(x) && size(x,1) == size(x,2);
addRequired(p, 'T1', checkmatrix);
addRequired(p, 'T2', checkmatrix);
% By default use all of the ma... |
8c3988ee2c3ce95c5760e5fef5dfd61e7ff440695e2ebd29145345cd31309253 | MATLAB | 1,362 | 40 | % This function is how to use mouse click callbacks on a figure
% figure
% To use this function, register the two callbacks by executing the two
% lines below
% obj.imhandle.Parent.WindowButtonUpFcn = @(object, eventdata)mouseClicked(false);
% obj.imhandle.Parent.WindowButtonDownFcn = @(object, eventdata)mouseClicked(t... |
2067241c4df14f471435e9a1c8f257577e536a71e6fe2377f77ff2a58000aea9 | MATLAB | 1,363 | 39 | function [isValid] = ml_nlx_mclust_spiketimes_are_valid(nlxNvtTimeStamps_mus, mclustTimeStamps_mus, verbose)
isValid = true;
% Check that the neuralynx timestamps are valid
if any(diff(nlxNvtTimeStamps_mus) < 0)
if verbose
fprintf('The Neuralynx timestamps are not montonically increasi... |
384866df1f5a8ba9bd8b46fd2880655ded71322e209be9bb30bb9b1b08e9a140 | MATLAB | 1,363 | 43 | % findBouts.m
%
% Function that returns start and end of bouts given indicies of all
% elements that belong to the bouts. Also returns duration in samples of
% all bouts
%
% INPUTS:
% inBoutInd - vector listing all indicies that are part of the bout
%
% OUTPUTS:
% boutStartInd - vector of start indicies of all th... |
11ba84d45ee6e43d4d5539554f45f50b035c1c4360c24d1e2e29352033c761f4 | MATLAB | 1,364 | 56 | function t = randWatsonMeanDir(N, k, p)
% This function generate random samples from the tangent direction of
% Watson distribution using rejection sampling. The density of is
% described in WatsonMeanDirDensity function. See the
% SphereDistributionsRand.pdf file for detail description and formulas.
%
% Usage:
% [t... |
f7ee19739830cbc8c56a2ea09f0ffdda628acc40dd61f5861f93094263820cda | MATLAB | 1,364 | 40 | function b = fcn_get_geographic_null(sc)
%FCN_GET_GEOGRAPHIC_NULL returns modularity matrix for geographic null
%
% b = fcn_get_geographic_null(sc) takes an sc matrix and uses the
% geographic null model (see Bassett et al 2015, Soft Matter or Giusti et
% al 2016, PRE). This matrix can then serve as input into ... |
1c76cc040c8a45120cdf20338c04a24f1f393e8f59e84d65586af584fc1e52e9 | MATLAB | 1,365 | 46 | function[out,timeunits]=SONTicksToSeconds(fid, in, varargin)
% SONTICKSTOSECONDS scales timestamp vector IN
%
% [OUT,{ TIMEUNITS}]= SONTICKSTOSECONDS(FID, IN{, OPTIONS})
% FID is the matlab file handle, IN is a vector of timestamps from the file.
%
% OPTIONS if present, may contain:
% 'Ticks' : Returns the time in b... |
7c35e3aea979f8254c5c56ed6b159cfac527e1dc9ccdfada199c35d57aba05e5 | MATLAB | 1,365 | 37 | function [probe] = getChannelData(probe)
%GETCHANNELDATA Determine channel distribution of the probe
% Calculates the SD separations for (1) channels limited by sdrange and
% (2) without sdrange limits. For when output is limited to sdrange,
% three additional sub-fields (sschannels, lschannels, exchannels) are
%... |
07197a4413757b9f44dfd7759e98b43787069b1c2b80d4b2834bd17546870d18 | MATLAB | 1,366 | 56 | function om_write_geom(geomfile,bndfile,names)
% OM_WRITE_COND
% [] = OM_WRITE_GEOM(GEOMFILE,BNDFILE)
% [] = OM_WRITE_GEOM(GEOMFILE,BNDFILE,NAMES)
%
% Write geometry file for OpenMEEG
%
% Authors: Alexandre Gramfort alexandre.gramfort@inria.fr
% Paul Czienskowski
numbnd = length(bndfile);
... |
0855d3cb5c03b4965ff105f2d1c81515f7ef8ca1e3359e90c1b8dac71ed8aadc | MATLAB | 1,366 | 39 | function [ns_RESULT] = ns_SetLibrary(filename);
%ns_SetDLL Opens a Neuroshare Shared Library (.DLL or .so) in prepearation for other work
%
% Usage:
% [ns_RESULT] = ns_SetLibrary('filename.dll')
%
% Description:
% Opens the dynamic linked library specified by filename
%
% Parameters:
% filena... |
88f6eb4bae133f6f8fc72efed5ed7ac11751b5cac2e60e23cbaed491bbf87f35 | MATLAB | 1,366 | 35 | clear
file=dir('ACC*reverse*.mat');
k=1;
for jj=1:length(file)
load(file(jj).name)
n=length(outcome);
n1=fix(n*0.15);
early_fa=find(outcome(1:n1,1)==4);%early phase
late_fa=find(outcome(n1+1:n,1)==4)+n1;%late phase
for j=1:Info.Cellnumber
early_fadf=eachDF{j}(:,early_fa);
... |
ec9c1adf05bd22af14789f3bbe19d61cd9f3461e76e60f0f0c716aafa001fc14 | MATLAB | 1,367 | 35 | clear
file=dir('ACC*uncertain*.mat');
k=1;
for jj=1:length(file)
load(file(jj).name)
n=length(outcome);
n1=fix(n*0.33);n2=fix(n*0.67);
trialnum_hit(1)=length(find(outcome(1:n1,1)==1));%count trial number
trialnum_hit(2)=length(find(outcome(n1+1:n2,1)==1));
trialnum_hit(3)=length(find(o... |
2bf00f3e06c477bc2dd40b9c847f3574eb7044094fea0c632d8cea47de8b37e0 | MATLAB | 1,368 | 41 | % discrete divergence using central difference
% c = cdiv(Gx, voxel_size)
%
% output
% c is the divergence
%
% input
% Gx is a vector field (4D matrix, with Gx, Gy, Gz)
% voxel_size is the size of the voxel
%
% transpose operator of cgrad
%
% Created by Ludovic de Rochefort in 2009
% Changed by Sh... |
76146bb2eae3083c3ab741000b4469df32844ff0514c777191e57bd61ddd58c0 | MATLAB | 1,368 | 43 | function [dat, lab] = read_bham(filename)
% READ_BHAM reads the EEG data files as recorded by Praamstra in Birmingham
% the datafiles are in a particular ascii format
%
% [dat, lab] = read_bham(filename)
% Copyright (C) 2000, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fie... |
9a5dbb395ac6ef51fa7be155c2312e7c4e4353ab98b98acfb812530af67c30b4 | MATLAB | 1,368 | 69 | %
% Compute spectral predictions. Predictions correspond to elements of
% the matrix UDV', or UDV' - VDU' for the skew decomposition.
%
% RESULT
% prediction (e*1) Prediction values
%
% PARAMETERS
% U (m*r) Left eigenvectors
% D (r*r) Central matrix
% V (n*r) Right eigenvectors, may be [] in which case U is us... |
8e0f8ea7bff32f9753bb8fc5a8c3719a5a7898f8bbb14e5da3b5730af7d34d23 | MATLAB | 1,369 | 45 | function [phi,S] = vl_tps(x1,x2,Y)
% VL_TPS Compute the thin-plate spline basis
% PHI=VL_TPS(X1,X2,Y) returns the basis PHI of a thin-plate spline
% (TPS) defined on the domain X1,X2 with control points Y.
%
% X1 and X2 are MxN matrices specifying the grid vertices. When
% warping images, these usually corres... |
8fd0c5c9509cb1d1cb71d5bb3fc08f9e1bc99a6586f955c928752bf2cf3d5a30 | MATLAB | 1,371 | 42 | % This script loads mesh data into the MATLAB workspace. The data include
% surface meshes and the potential integrals. It also computes useful
% sparse matrices for GMRES speed up
%
% Copyright SNM/WAW 2017-2020
%% Add path (Windows/Linux commands are different)
s = pwd;
if(~isunix)
slash = '\... |
09fdd6c948ef463e0d355b7e3f328ae681605e5ccac76c47e519f3b4cd607e3c | MATLAB | 1,373 | 32 | function ret=SONWriteExtMarkBlock(fh, chan, timestamps, markers, extra, count)
% SONWRITEEXTMARKBLOCK writes data to a marker channel
%
% Calls gatewaySONWriteMarkBlock.dll after transposing EXTRA
%
% RET=SONWRITEEXTMARKBLOCK(FH, CHAN, TIMESTAMPS, MARKERS, EXTRA, COUNT)
% INPUTS: FH the SON file handle
% CHAN ... |
3c65366eef7b6a300eba94ab87e62513fd89551dbc438d72bf3741a1efc7e79b | MATLAB | 1,373 | 33 | function [out] = balance_table(tbl,TypeVar,BirthageVar,TestageVar)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
epochtypes = unique(tbl.(TypeVar));
epochtypes = [epochtypes; {'Total'}];
if ~isa(epochtypes,'cell')
epochtypes = cellstr(epochtypes); end
agetypes = {'Prem<2w','Prem>2w... |
ad068fccc8bfbd68563c72e6e8534fcb9a36393da29956a8e9eb3f54c58bdf92 | MATLAB | 1,373 | 52 | %
% Decompose the source and training matrices.
%
% PARAMETERS
% $NETWORK
% $DECOMPOSITION
% $TYPE "source" or "training"
%
% INPUT
% dat/split.$NETWORK.mat
% dat/means.$NETWORK.mat (source only)
% dat/meanst.$NETWORK.mat (training only)
% dat/info.$NETWORK
%
% OUTPUT
% dat/decomposition_split.$TYPE.$DECOMPOSITIO... |
d7a34917e08a70f8557ca1a7c20accda0f03440a9def06690da0ce58fd560fa7 | MATLAB | 1,373 | 42 | % mglSimulateRun.m
%
% $Id: mglOpen.m 385 2009-01-03 20:34:37Z justin $
% usage: mglSimulateRun(framePeriod,numFrames,<startDelay>,<char>)
% by: justin gardner
% date: 01/10/09
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: This function simulates a ru... |
7038c690680b48219371dece1a7ae862a838a1a71815daab61366dfc7853aed1 | MATLAB | 1,374 | 45 | function err=SONSetEventChan(fh, chan, PhyCh, bufsize, comment, title, rate, kind)
% SONSETEVENTCHAN sets up a new event or marker channel
%
% ERR=SONSETEVENTCHAN(FH, CHAN, PHYCH, BUFSZ, COMMENT, TITLE, RATE, KIND)
% INPUTS: FH the SON file handle
% CHAN the channel number
% PHYCH the physical channel ... |
cc9692ae8a1078d69d9f17010e58ccc3168b3c8a892f378a84be9858a36cdf20 | MATLAB | 1,374 | 37 | function [motionData] = ml_motion_load_h5( filename )
% This code read in the motion data from an HDF5 file.
if ~isfile(filename)
error('Unable to load the motion data. The file (%s) does not exist.', filename);
end
header = ml_cai_core_h5_read_header( filename );
recording.hour = ... |
e1c11a3613e38a6d0d20a2d3fdb98a2c0e4add83d953bba142f59691eeb8a591 | MATLAB | 1,374 | 47 | function y = wmean(x,w,dim)
%WMEAN Weighted Average or mean value.
% For vectors, WMEAN(X,W) is the weighted mean value of the elements in X
% using non-negative weights W. For matrices, WMEAN(X,W) is a row vector
% containing the weighted mean value of each column. For N-D arrays,
% WMEAN(X,W) is the... |
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