sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
e2d1027bb77096ab116e0cf31aaac31cfa62192d696b4875726389983c6c6412 | MATLAB | 1,975 | 64 | % fit_runFitWater.m
% Georg Oeltzschner, Johns Hopkins University 2019.
%
% USAGE:
% [fitParams, resBasisSet] = fit_runFitWater(dataToFit, basisSet, fitModel, fitOpts);
%
% DESCRIPTION:
% This function performs spectral fitting of the water data in dataToFit, using
% the water basis function in basisSet, using a set o... |
3cbe681b4133e2a247cda380e48169e66398d565f5aedd0e4915a13f583f8925 | MATLAB | 1,977 | 48 | % STD_UNIFORMSETINDS - Check uniform channel distribution across datasets
%
% Usage:
% >> boolval = std_uniformsetinds(STUDY);
% Inputs:
% STUDY - EEGLAB STUDY
%
% Outputs:
% boolval - [0|1] 1 if uniform
%
% Authors: Arnaud Delorme, SCCN/UCSD, CERCO/CNRS, 2010-
% Copyright (C) Arnaud ... |
6e436d8f7ae5a9659dd3f895424111c6f99252f72e7232b6eec4b78931287307 | MATLAB | 1,977 | 65 | clear all
% add bids repo
bidsPath = '/Users/shahzad/GitHubCodes/CPP_BIDS';
addpath(genpath(fullfile(bidsPath,'src')));
addpath(genpath(fullfile(bidsPath,'lib')));
tsvFileName = 'sub-007_ses-001_task-mainExperiment2_run-013_events_touched.tsv';
tsvFileFolder = '/Users/shahzad/Files/fMRI/visTacMotionDir/raw/sub-007/s... |
a0c6526265a56a3b17dd0fe5077f5fa875b06d5d988a6dfc21d44602b3319a99 | MATLAB | 1,977 | 53 | % MATTOCELL - convert matrix to cell array
%
% Usage: >> C = mattocell( M );
%
% Author: Arnaud Delorme, CNL / Salk Institute, Jan 25 2002
%
% Note: this function overload the nnet toolbox function mattocell,
% but does not have all its capacities. You can delete the current
% function if you have the toolbox.
% Co... |
011554c1f0c0990f45294e74e33bffb2541e8eecaf518c52a956cd25c96c2956 | MATLAB | 1,978 | 64 | function varargout = ft_notice(varargin)
% FT_NOTICE prints a notice message on screen, depending on the verbosity
% settings of the calling high-level FieldTrip function.
%
% Use as
% ft_notice(...)
% with arguments similar to fprintf, or
% ft_notice(msgId, ...)
% with arguments similar to warning.
%
% You can s... |
57dc8736c0cbf93fa8efe9fa559cf5799a66cb88212f5f5f625b5f608fa42bbd | MATLAB | 1,978 | 119 | function demo_sigstar
% demo function for sigstar
%
% function demo_sigstar
%
% No input or output arguments.
%
%
%
rows=2;
cols=3;
clf
subplot(rows,cols,1)
barData=[2,1.2,1.9,1,2,3];
H=bar(barData);
set(H,'FaceColor',[0.5,1,0.5])
groups={[3,6],[1,2],[5,4]};
%overlay random data
hold on
for ii=1:length(barData)
... |
eeef5175e45a40993d4855c73ab3377be37b36672d6835ed5121f7d98a057fad | MATLAB | 1,978 | 70 | % create file names of spm-analyze files for fMRI session w/ multiple vols
%
% INPUT
% fn - filename
% selectedVolumes - indices of all volumes to be considered
% Inf for all volumes
% (uses spm_select, only possible, if files already exist!)
%
% OUTPUT
% nifti_flag - 1 to make nift... |
b321d22057c28561a2a985572032620d0fb8c43d63362a40fc8293e41fc87135 | MATLAB | 1,979 | 56 | % inherited from "05b fsaverage transfer mapping.m"
% This script creates and saves lookups to transfer to/from subject surfaces and fsaverage (both orig and DENSE)
%% Part 1: create subject fsaverage transfers
% define
subjects={'fsaverage'}; % DID NOT RE-RUN, BUT INCLUDE HERE FOR COMPLETENESS!
subjects=arrayfun(@... |
0355ad4e986073c86fcdaddc569bfa9dc112c4cea2406d8c06493abe4ddd3c92 | MATLAB | 1,980 | 79 | function p = MS_fnn(y,de,tau,th,kth);
% function nfnn = MS_fnn(y,de,tau,th,kth)
%
% determine the number of false nearest neighbours for the time
% series y embedded in dimension de with lag tau.
%
% for each pair of values (de,tau) the data y is embeded and the
% nearest neighbour to each point (excluding the immediat... |
230c2dabea98a87bf9aa43dc38e3e12b8a7ec75111aad64a7789563e68f88849 | MATLAB | 1,980 | 52 | function TS_ConvertToTable(hctsaFile)
% TS_ConvertToTable Converts a file using the old structure array format -> table
%
%---INPUTS:
% hctsaFile, an hctsa file to convert
% ------------------------------------------------------------------------------
% Copyright (C) 2013-2026, Ben D. Fulcher <ben.d.fulcher@gmail... |
4cd8ae8157c9d1d9142a791d00b8d413ed58147ba3fe54c412f8134f4de28b93 | MATLAB | 1,980 | 58 | function this = MrDimInfo_update_and_validate_properties_from(this)
% Unit test for MrDimInfo methods update_and_validate_properties_from
%
% Y = MrUnitTest()
% run(Y, 'MrDimInfo_update_and_validate_properties_from')
% Y.MrDimInfo_update_and_validate_properties_from(TestParameter)
%
% This is a method of class Mr... |
a9639a259e29e8c9069c3c7bc8182664d4fe1b8dc034ac83732561476e04f11d | MATLAB | 1,980 | 59 | function [logp, yhat, res] = tapas_rs_precision(r, infStates, ptrans)
% Calculates the log-probability of response speed y (in units of ms^-1) according to the precision
% model introduced in:
%
% Vossel, S.*, Mathys, C.*, Daunizeau, J., Bauer, M., Driver, J., Friston, K. J., and Stephan, K. E.
% (2013). Spatial Attent... |
51e089e231af57bb3ea130c33bccad1fa3d98fdb0f184a4f9df8324ac4b24879 | MATLAB | 1,981 | 52 | function ImportFromSonicVisualizer_Callback(hObject, eventdata, handles)
HZ_IN_KHZ = 1000;
[svname, svpath] = uigetfile('*.csv','Select Sonic visualizer box layer');
sv_table = readtable([svpath svname],'Delimiter', ',');
[audioname, audiopath] = uigetfile({
'*.wav;*.ogg;*.flac;*.UVD;*.au;*.aiff;*.aif;*.aifc;*.m... |
5e00f1000bf8958773fbaedb112abfdef1123a455f6d46cc5cf4017216ac4948 | MATLAB | 1,981 | 66 | function [info ] = mrs_readLcmodelPRINT( fileName )
%MRS_READLCMODELPRINT reads the LCmodel output file .print, which contains the
%all infos about the modelling process.
%
% [info ] = mrs_readLcmodelPRINT( fileName )
%
% INPUT :
% fileName = name of LCModel output .print file
%
% OUTPUT:
% info = stores some interest... |
f8ee82508a6f53bfbf25157fa311c4c40e179420896c231e586db7dd30ee85e4 | MATLAB | 1,981 | 58 | classdef BatchNorm < dagnn.ElementWise
properties
numChannels
epsilon = 1e-5
opts = {'NoCuDNN'} % ours seems slightly faster
end
properties (Transient)
moments
end
methods
function outputs = forward(obj, inputs, params)
if strcmp(obj.net.mode, 'test')
outputs{1} = vl_nnbnor... |
2cdf88c6df9e2aee81562d8f6c918c9b4977279e4daed81241aeadd6874af8d3 | MATLAB | 1,982 | 43 | function [maxdisplacement, pathlength, meanspeed, instantspeed, travelpath, displacement] = displace(pt,xvals, yvals)
%displace(pt, xvals, yvals)
% This function calculates the euclidean distance between a two sets of x/y
% coordinates. Specifically written to calculate the distance between a series of coordinates ... |
52606e8891c85aeec79a84bd30afb6cc70c4d3576c1efd668cd009665fbc9e30 | MATLAB | 1,982 | 60 | %% [RDF] = Wrapper_BFR_LBV(totalField,mask,matrixSize,voxelSize,algorParam, headerAndExtraData)
%
% Input
% --------------
% totalField : total field map (background + tissue fields), in Hz
% mask : signal mask
% matrixSize : size of the input image
% voxelSize : spatial resolution of each dimension ... |
b1e626eca486afc217f68a985ce243a6974cab03c3eecd6c28d3054833881829 | MATLAB | 1,983 | 49 | % ERPREGOUTFUNC - sub function of ERPREGOUT used to regress
% out the ERP from the data
%
% Usage:
% totdiff = erpregout(fact, data, erp);
%
% Inputs:
% fact - factor
% data - [float] 1-D data (time points).
% erp - [float] 1-D data (time points).
%
% Outputs:
% totdif - residua... |
140a9da6f44457f85596eb1a89f70bba5955c65470e19202f3bf8a6c800f2a9a | MATLAB | 1,985 | 86 | function combinePlots(plotPathsToCombine, outputFilePath, Params)
%COMBINEPLOTS Summary of this function goes here
% Detailed explanation goes here
if isfield(Params, 'oneFigure')
if ~isgraphics(Params.oneFigure)
Params.oneFigure = figure();
end
else
F1 = figure;
end
numDivs = length(plot... |
2755a84be36d6ef01ceaf40fa451c6e9ba9e56f3e1113a1a7bd23c895fb4a54c | MATLAB | 1,986 | 47 | % EEG_MS2F - convert epoch latency in ms to nearest epoch frame number
%
% Usage:
% >> outf = eeg_ms2f(EEG,ms);
% Inputs:
% EEG - EEGLAB data set structure
% ms - epoch latency in milliseconds
% Output:
% outf - nearest epoch frame to the specified epoch latency
%
% Author: Scott Makeig... |
2b53aa31f1016e6e00641781cec39d4fa43b6f3eb3bfe46855105d13ec0cd555 | MATLAB | 1,986 | 76 | function maxCh=fear_getMaxDeltaCh(basename,varargin)
% basename='~/data/Fear/triple/karmeliet190901/karmeliet190901';
load([basename '.basicMetaData.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
%%
param.nCh=basicMetaData.nCh;
param.candCh=64+(1:60);
param.lfp=fear_... |
6b1adff17d991f2dc53c5d4715911a559eeba77cbd44fe0b18174acb81aa778d | MATLAB | 1,986 | 68 | function [realblock, treal, tincong, vios] = blockhmat_withvios(A)
%Finds indices of block transitions for the true block transition and
%aligned to incongruent. Also outputs violation trial indices.
tot_trials = [0; cumsum(A.ntrials)];
[~, A.reward] = convertreward(A.reward);
realblock = nan(length(A.ntrials), max... |
d91eb61a2166da1c36270d32ece42c48df28a66d812ca9cc090ba385a6522d98 | MATLAB | 1,986 | 53 | function saveStatistics(statsOutLoc, cohort, task, timepoint, params, homerPruneMat, sciAvgs, pspAvgs, motionWindows, channelsRetained, snrMat, saveFlags)
% Saves the calculated statistics and quality metrics from all subjects to
% files, including Homer pruning matrices, SCI averages, PSP averages, and
% motion... |
3a5e9a24e0fe639dc36c2caa028a082e9842aa0fdc3f209723919369d6705ef4 | MATLAB | 1,987 | 60 | % run all of the preprocessing. save this for transparancy
epoch = 'reward';
decodertype = 'psth';
savename = strcat('~/projects/dynamics/data/maggie/preprocess_mlb_ofc_',epoch,'_',decodertype,'.mat')
run_preprocess_decode_mlb_allofc(savename, epoch, decodertype)
epoch = 'reward';
decodertype = 'none';
savename = st... |
4ac72df540c85862a2373042d58e1e206cc279ed933e264a1de2dacf7604477c | MATLAB | 1,987 | 58 | function c = tapas_beta_obs_config
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Contains the configuration for the beta observation model for responses in the unit interval
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
9d9d4b05c583cce35ce8b88e24ec3d4d12348927741638524fe9c8c1e664c8a8 | MATLAB | 1,987 | 57 | function phiFaceAverage = linearMean(phi)
% This function gets the value of the field variable phi defined
% over the MeshStructure and calculates the arithmetic average on
% the cell faces, for a uniform mesh.
%
% SYNOPSIS:
% phiFaceAverage = arithmeticMean(phi)
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ... |
b6b36806dcbaee8cd6bda86dee90fd8405272f4e436e3e564d5bd4f91f4f75a9 | MATLAB | 1,988 | 64 | load('anatExt_table.mat')
load('anatExt_decodAccu.mat')
anat_lS1=decodAccu(:,3);
anat_lhMT=decodAccu(:,1);
anat_rhMT=decodAccu(:,2);
anat_lMTt=decodAccu(:,6);
anat_rMTt=decodAccu(:,7);
ext_lS1=decodAccu(:,10);
ext_lhMT=decodAccu(:,8);
ext_rhMT=decodAccu(:,9);
ext_lMTt=decodAccu(:,13);
ext_rMTt=decodAccu(:,14);
%%%
%... |
e03ded058b687e6ceb4406baf0848e8252e07a4975c46ee950bd86c1bcd9a5dd | MATLAB | 1,988 | 51 | function [K,dK] = covWarp(cov, p, dp, Dp, hyp, x, z)
% Apply a covariance function to p(x) rather than x i.e. warp the inputs.
%
% This function doesn't actually compute very much on its own, it merely does
% some bookkeeping, and calls another covariance function to do the actual work.
%
% The function computes:
% ... |
ac6d1c38ace8a95e8b57db5a7e46d0ff987a0c66ffde06640ccc7fae2ec41ff6 | MATLAB | 1,989 | 62 | function [ opts ] = tapas_huge_parse_inputs( opts, varargin )
% Parse name-value pair type arguments into a struct.
%
% INPUTS:
% opts - Struct containing all valid names as field names and
% corresponding default values as field values.
%
% OPTIONAL INPUTS:
% Name-value pair arguments.
%
% OUTPUTS:
% ... |
171373942351bbaa9ac945b2ab5a2db01c2bb337bada57203fad146f802f2d67 | MATLAB | 1,990 | 55 | function QSARreadyCurated34STARDataPadelheader = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% QSARREADYCURATED34STARDATAPADELHEADER = IMPORTFILE(FILENAME) Reads data
% from text file FILENAME for the default selection.
%
% QSARREADYCURATED34STARDATAPADELHE... |
8751532ec8695b209206f17a842be8f66279c1e6c6900fe0cda84b4d72d950b8 | MATLAB | 1,991 | 40 | % STD_FINDOUTLIERCLUST - determine whether an outlier cluster already exists
% for a specified cluster. If so, return the outlier cluster index.
% If not, return zero. This helper function is called by
% POP_CLUSTEDIT, STD_MOVEOUTLIER, STD_RENAMECLUST.
% Copyright (... |
98eb21fed9fbbe4cb1102a5c21457f70516652f68eae406264412cebe0ff66dd | MATLAB | 1,991 | 54 | % Playing around with MOR density results
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Setup
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Add paths
baseloc="C:\Users\dk818\OneDrive - Imperial College London\NCORE\miFCdFC";
% For outputs
str='\Outputs';
outputpath=strc... |
d3437a6244090a1d438eb0d31455d7b55cfdb5664707973dbd59e38e3275e061 | MATLAB | 1,991 | 57 | function phiFaceAverage = arithmeticMean(phi)
% This function gets the value of the field variable phi defined
% over the MeshStructure and calculates the arithmetic average on
% the cell faces, for a uniform mesh.
%
% SYNOPSIS:
% phiFaceAverage = arithmeticMean(phi)
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% ... |
6f1803ff4c99cd17782b107d7534779f4afd892e59f0ab03f5f2ff5a466c11d0 | MATLAB | 1,993 | 65 | function obj = orthogonalise(obj)
N = numel(obj.data);
D = prod(obj.lat);
EUU = obj.ULU + D * obj.iAu;
EZZ = obj.ZZ + N * obj.iAz;
% ---------------------------------------------------------------------
% Orthogonalise
[U, iU] = ortho_matrix(EZZ,EUU);
EUU = iU' * EUU * iU;
EZ... |
b8401904ba367d398419b4544de4018c57edd573a95a951b5c828d43a3330b17 | MATLAB | 1,993 | 68 | function [parsedData,figHandle]=parseEPhys(ePhys,varargin)
% assume continuous recording of ePhys data along with multiple oPhys
% measurements. You sould have as many ttlE epoch as oPhys measurment files
% input ePhys is a struct with fields data, ttl and fps
% Options
% 'savePath' ,[]
% 'plotFigure' ,true
%% OPT... |
d4488e389133fc55bf3d3ca9014c56a60b0b2caa34fbb278496a713d200ded51 | MATLAB | 1,993 | 41 | %% Modify the events of datasets for creating STUDY designs
% load the epoched tutorial dataset
eeglab_path = fileparts(which('eeglab.m')); % get EEGLAB path
[ALLEEG, EEG, CURRENTSET, ALLCOM] = eeglab; % start EEGLAB
pop_editoptions( 'option_storedisk', 0); % Change option to process multiple datasets
EEG = pop_loadse... |
d6ac8bf4d794aa34c77065091624788c6ac4002645a7c39607791ccd507d48e2 | MATLAB | 1,993 | 63 | function [frame,summary]=h5frame(fpath,iframe,varargin)
%
% HELP
% Load one frame from a movie.
% SYNTAX
%[frame,summary]= h5frame() - use 1 if no arguments are allowed
%[frame,summary]= h5frame(fpath) - use 2, etc.
%[frame,summary]= h5frame(fpath,iframe) - use 3, etc.
%[frame,summary]= h5frame(fpath,iframe,'optionName... |
0dae8009a5cfb8b9bd9e6e9fdbcc6fbea66def80bc99a684ac383c14a5ffa507 | MATLAB | 1,994 | 50 | % colorLogRemap: lookup of the original color map table according to a "log-like" curve.
% The log-like curve contains a linear part and a logarithmic part; the size of the parts
% depends on the range (loLev,upLev)
%
% Arguments:
% oriCmap original colormap, provided as a N*3 matrix
% loLev ... |
40108d3fc5750448cde542496f1d7275290ce1557366f27e90d57d42d5049b00 | MATLAB | 1,994 | 74 | function c = tapas_logrt_linear_whatworld_config
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Contains the configuration for the linear log-reaction time response model according to as
% developed with Louise Marshall and Sven Bestmann
%
%%%%%%%%%%%%%%%%%%%%%%... |
f5d72842f2a1afbba70767c090975e2c09ac4c21dd8efeb60b45095ca303fd1e | MATLAB | 1,994 | 78 | function maxCh=fear_getMaxGammaCh(basename,varargin)
% basename='~/data/Fear/triple/karmeliet190901/karmeliet190901';
load([basename '.basicMetaData.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
%%
param.nCh=basicMetaData.nCh;
param.candCh=128+(1:60);
param.lfp=fea... |
20fb7e02f7d31d466a346e02b10a3bee21ca783a1b37c78af505c9e7ea059dad | MATLAB | 1,995 | 65 | function nPhysioRegressors = tapas_physio_count_physio_regressors(physio)
% Returns number of physiological regressors created, given model
% specification;
% NOTE: only reproducible numbers (data-independent) are
% returned, i.e. session-specific movement spikes and %-variance explained
% PCA-components are not inclu... |
6d2b9b284f2236ff8ea165a260797fc3b49e2214c26a7e89530c72fdf02b122a | MATLAB | 1,995 | 64 | % fit_runFit.m
% Georg Oeltzschner, Johns Hopkins University 2019.
%
% USAGE:
% [fitParams, resBasisSet] = fit_runFit(dataToFit, basisSet, fitModel, fitOpts);
%
% DESCRIPTION:
% This function performs spectral fitting of the data in dataToFit, using
% the basis set in basisSet, using a set of options defined in fitOpt... |
f3030e0d2fc5efb50c7e061e6ac68bebf7d3e1ed39740745baa05b2b0b96505b | MATLAB | 1,995 | 49 | %% sepia_configuration_unwrap
%
% Description: a script contains all the spatial phase unwrapping method names and related function names
%
% Kwok-shing Chan @ DCCN
% k.chan@donders.ru.nl
% Date created: 11 March 2020
% Date modified: 28 June 2020
%
% DO NOT change the variable name
% DO NOT change the order of the ent... |
43a1bb8d6e756fdc001d5f903eece666622fbf13668427e4a87daad3f171dc39 | MATLAB | 1,997 | 65 | function [verbose, msg] = tapas_physio_log(msg, verbose, warningLevel)
% writes message into verbose.process_log, prints it, and labels it as
% warning, if necessary
%
% [verbose, msg] = tapas_physio_log(msg, verbose, isWarning)
%
% IN
% msg message string
% verbose physio.verbose structure, including... |
c48b78721e1b7d51314fab36c67dd9e9d1ca5f8ac684903585120d0ab5be7c84 | MATLAB | 1,997 | 48 | function [] = adjust_orientation (plate_orientation)
%% adjust_orientation adjusts x/y coordinates of tracked worms (in cm)
% based on the direction of the gradient (to left vs to right)
global info
global tracks
global vals
plate_orientation(plate_orientation>0)=-1; %Value = 1, gradient R -> L, flip orientation
pla... |
35b8c7a37ce9e86d704354d89d05f70e0f3da5b605ebb5293efdf077feec4d02 | MATLAB | 1,998 | 56 | function [rez]=check_template(DATA,st,T,ops)
M_clust = length(unique(st(:,3)));
nt0 = ops.nt0;
Nchan =
batch = length(unique(rez.st(:,end-1)));
Nrank = 3;%default value for projection hard coded
[~,W, ~, ~,~] = SVD_template(T, Nrank,rez.ops.Chan_criteria) ;
%calculate the mean of each template
irunm = zeros(1,M_cl... |
555374fbe8ca7112c9e91d4f86f9cba6f8bdc20a6b35914bae0794de9f829ac2 | MATLAB | 2,000 | 59 | function [output]=bpFilter2D(input,low,high,varargin)
% perform spatial filtering using one or two gaussian filtered images.
% [output]=bpFilter2D(input,low,high,varargin)
% e.g. DC removal > [output]=bpFilter2D(input,inf,1,'parallel',false);
%% Gather options
options.parallel=true;
options.loop=1; %apply the filter ... |
fe78d0a6fabad8947588ef23801fb92cc579dec60e634bc1384d0f7127a7faf4 | MATLAB | 2,000 | 63 | %% [RDF] = Wrapper_BFR_PDF(totalField,mask,matrixSize,voxelSize,algorParam, headerAndExtraData)
%
% Input
% --------------
% totalField : total field map (background + tissue fields), in Hz
% mask : signal mask
% matrixSize : size of the input image
% voxelSize : spatial resolution of each dimension ... |
8da545ce5212bcb59198f947e0d9af5e2f6089aecad94ff812509d10b8c0f712 | MATLAB | 2,001 | 66 | function [edgeMat, nodes, edgeIdx] = shrinkMat(data, preEdgeIdx)
% SHRINKMAT Extracts upper-triangular edge values from correlation matrices.
%
% [edgeMat, nodes, edgeIdx] = shrinkMat(data)
% [edgeMat, nodes, edgeIdx] = shrinkMat(data, preEdgeIdx)
%
% Arguments:
% data - 2D (nodes x nodes) or 3D (nodes x no... |
37534091e83824be2c0c3ba1e33c0d3dbffc4f64f9605c102aa97865e811ddbd | MATLAB | 2,002 | 84 | function Result = rest_nextpow2_one35(n)
%Compute the min length for FFT according to AFNI's algorithm, By Xiao-Wei Song
%------------------------------------------------------------------------------------------------------------------------------
% Copyright(c) 2007~2010
% State Key Laboratory of Cognitive Neuros... |
8896ba940505168e0a93856a63fdba3fdd8aecc283dda5ff14a6e171f1b0c8f5 | MATLAB | 2,002 | 72 | function S=BrikInfo_2_niml_writesimple(Info, S)
%
% [S]=BrikInfo_2_niml_writesimple(Info, [S])
%
%Purpose:
% Converts some fields in the BRIK header structure
% to a structure used in function afni_niml_writesimple
%
%Input Parameters:
% Info: Brick header structure like one output by BrikInfo
% S: If specifed add ... |
cc8370dc9a3c2f5b02c4f37c71360c1c52c1c35c80f6f2334ee61a4c696076aa | MATLAB | 2,002 | 80 | function ft_deface(file_in, file_other, write_mask)
% MRI defacing
%
% ft_deface(file_in, file_other, write_mask)
%
% Inputs:
% file_in - file name of input image.
% file_other - file names (cell array) of other images.
% write_mask - save binary.
%
% This function defaces an MRI image using the SPM function s... |
f79f8f4dc27f0fd58765559780f0f1f238603cf00ef9a6727f000fb75bc3fb11 | MATLAB | 2,002 | 50 | function anatomy_signficance_saveFig(params, plotInfo, groupInfo, chAss_isargAtlas)
% saves figure in plotInfo.fig to different folders based on significance and anatomical assignments
% output dir = slicesActivity_selected
% for example: ...\slicesActivity_selected\Yeo7_networks\Attention_hiGamma_not_sgnf ---
% (c) J... |
1ed0622a36b11133b01cea6cfb8b27ba31da7e919dc67623b764d978adb764c0 | MATLAB | 2,003 | 61 | function bnd = read_asa_bnd(fn)
% READ_ASA_BND reads an ASA boundary triangulation file
% converting the units of the vertices to mm
% Copyright (C) 2002, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: y... |
1280c31635f85ea341c5f53c229e8538f3390264ec35715cb5a69980ee015052 | MATLAB | 2,004 | 56 | function f = SAVEDATA(hh,data,dataname)
% function f = SAVEDATA(hh,data,dataname)
%
% <hh> is 1/2/3/4/5 (lh/rh/subcortex/func1pt8mm/cerebellum)
% <data> is V x QUANTITIES
% <dataname> is a string label
%
% Save the <data> to a "freesurfer" directory location.
% Relies on some variables from the caller workspace (from ... |
35575e64d795ab2f93acf9914cac7d786149c7b38ccfadfb2118ea397bf2b613 | MATLAB | 2,005 | 54 | % NAN_MEAN - Average, not considering NaN values
%
% Usage: same as MEAN
% Author: Arnaud Delorme, CNL / Salk Institute, 16 Oct 2002
% Copyright (C) 2001 Arnaud Delorme, Salk Institute, arno@salk.edu
%
% This file is part of EEGLAB, see http://www.eeglab.org
% for the documentation and details.
%
% Redistribution and... |
e6b24a1236afdb0714c92a9df42c7836db3e9bd3f6c64fe997f7ed0a8203d326 | MATLAB | 2,005 | 68 | function [displacement,speed,locoRestTTL,figHandle]=getMouseSpeed(data,Fs,varargin)
% [displacement,speed,locoRestTTL,figH]=getMouseSpeed(data,Fs)
% data correspond to the number of ticks from the rotary encoder
% assume rotatory encoder 600 ticks/360° and 12cm diam wheel
% output in cm/s
% speed is kept the same lengt... |
10c99635b897529d237606cf9bb052397d58d80c9a3f55ff00b710714244a711 | MATLAB | 2,006 | 62 |
function T = readSurf(white,pial,topo)
% function rsa_readSurf(file,varargin)
% Reads surfaces for each subject and returns an array of structures with
% the corresponding surfaces. Only GIFTI input files formats are supported
% for now.
%
% INPUTS
% white: Nx1 cell array of white surfaces (left or right sided)
... |
100412af7f5cf60e5a979c5ac86c54dda9aa7b1b430292ed40cf06e61ffa61d1 | MATLAB | 2,007 | 49 | function getTriggers_switching_EI_IE(params)
% determines trials where there was a switch from internal to external task (and vice versa)
% determines trials which contained the selected keyword (in params.thisCategory)
% MUST match trials 'tr' with the same keyword in trials(tr).stim_cond
% saves result into respectiv... |
959e297c7cb9272dead2ab0485e25daf6ff3f7a8dc2ddd964122f9e84e51404b | MATLAB | 2,007 | 68 | function obj = loadobj(s)
% LOADOBJ Initialize a DagNN object from a structure.
% OBJ = LOADOBJ(S) initializes a DagNN objet from the structure
% S. It is the opposite of S = OBJ.SAVEOBJ().
% If S is a string, initializes the DagNN object with data
% from a mat-file S. Otherwise, if S is an instance of `dagnn.... |
046e5517cc37b6afea6cd9d8486b7de069af3784783e94a5de3c8386d15d3d7c | MATLAB | 2,008 | 47 | function betas = betaCorrespondence();
%
% betaCorrespondence.m is a simple function which should combine
% three things: preBeta: a string which is at the start of each file
% containing a beta image, betas: a struct indexed by (session,
% condition) containing a sting unique to each beta image, postBeta: a
% str... |
5481eed04537efddcbb64ef81b42ffe137802411a26a1b87e35dbc9a2309e27c | MATLAB | 2,008 | 65 | function [m0, l0, a0, b0] = tapas_rdcm_get_prior_all(DCM)
% [m0, l0, a0, b0] = tapas_rdcm_get_prior_all(DCM)
%
% Returns prior parameters on model parameters (theta) and noise precision
% (tau) for the full connectivity model. Necessary for the sparse version
% of rDCM.
%
% Input:
% DCM - model struc... |
6765aebf927a4b98597466c94a792eb8eebc0d9d402f68726bbb9ea6941408fa | MATLAB | 2,009 | 60 | %% Figure 2 main
YOURDATAPATH = '';
%% Get data for all panels
mouseInfoAll = {{'cfa17', '200825'}, ...
{'cfa17', '200827'}, ...
{'cfa19', '200820'}, ...
{'cfa19', '200826'}, ...
{'cfa20', '201114'}, ...
{'cfa20', '201118'}, ...
{'cfa22', '220605'}, ...
{'cfa22', '220611'}, ...
{'cfa24'... |
c961e91e76515438c0750b09da690fc5f91769a61b2db08b7223bf8fcbf05acb | MATLAB | 2,010 | 55 | function [ obj ] = bold_grad_fd( obj, n )
% Calculate jacobian matrix of predicted fMRI BOLD signal with respect to
% DCM parameters using forward difference method.
%
% This is a protected method of the tapas_Huge class. It cannot be called
% from outside the class.
%
% Author: Yu Yao (yao@biomed.ee.ethz.ch)
% Copy... |
e67ff94be99e6f74c4c89ec596f55ad649e6d075257d6784365aaed13a059936 | MATLAB | 2,010 | 62 | function newSegmentation = grow_region(this, startingSegmentation, threshold, nIter)
% Iterative region growing using starting segmentation and threshold.
%
% Y = MrImage()
% Y.grow_region(startingSegmentation, threshold, nIter)
%
% This is a method of class MrImage.
%
% IN
% startingSegmentation MrImage-objec... |
ee168a331d580041b271867711c9c87d53722fabbca52888bea24b8a8112ebfb | MATLAB | 2,010 | 58 | %APPEND_PDFS Appends/concatenates multiple PDF files
%
% Example:
% append_pdfs(output, input1, input2, ...)
% append_pdfs(output, input_list{:})
% append_pdfs test.pdf temp1.pdf temp2.pdf
%
% This function appends multiple PDF files to an existing PDF file, or
% concatenates them into a PDF file if the output fi... |
f5f2e5f51bae7dfeecc9a0053f8e5c88156bf91093acaf369c46579e1bdad6ca | MATLAB | 2,010 | 71 | function nbrs=surfing_volume_nbrs(voldef,nn)
% Linear indices of neighbouring voxels in volume
%
% NBRS=SURFING_VOLUME_NBRS(VOLDEF,NN)
% INPUTS:
% VOLDEF: spm volume definition from spm_vol, or AFNI filename or header
% information, or 1x3 vector with number of voxels in x,y,z
% NN nearest neighbou... |
ac08204ee6b0fde14aa9dd2875fbdc4652f32629a56a4a4da3fd53bfeca1203f | MATLAB | 2,011 | 106 | %%%%%%%
% CODE BELOW WAS TAKEN FROM
% https://gist.github.com/zahlenteufel/0ea490a1b28b7cc62492
% Generate the points
clf
subplot(2,1,1);
axis equal
mu1 = [5 4]';
sigma1 = [2 -0.8; -0.8 1];
mu2 = [0 1]';
sigma2 = [1 -0.06;-0.06 0.5];
chol(sigma1);
chol(sigma2); % verifica definida positiva
P1 = 0.3;
P... |
20f0f3704b504ff77613ed29ad57e28d860469d4cd99f6965485e21931ccf2cd | MATLAB | 2,012 | 56 | function [ obj ] = bold_grad_cd( obj, n )
% Calculate jacobian matrix of predicted fMRI BOLD signal with respect to
% DCM parameters using central difference method.
%
% This is a protected method of the tapas_Huge class. It cannot be called
% from outside the class.
%
% Author: Yu Yao (yao@biomed.ee.ethz.ch)
% Copy... |
63c1a23b24c4361e951405806633ce6e7e08c9ba7d455f80709bdf2d57d8d40d | MATLAB | 2,012 | 51 | function TMStargetT1_run (T1Dir,ROIDir,MatDir,OutDire)
% TMStarget GUI by Gong-Jun JI
%-----------------------------------------------------------
% Copyright(c) 2016; GNU GENERAL PUBLIC LICENSE
% Laboratory of Cognitive Neuropsychology, Department of Medical Psychology, Anhui Medical University
% Written by G... |
3e8aa00709de85355eb33a0531e0f1ef2c60328201c557db4590c925fb80f500 | MATLAB | 2,013 | 66 | %isimatrix - Test if parameter is a matrix of integers (>= 2 columns).
%
% USAGE
%
% test = isimatrix(x,test1,test2,...)
%
% x parameter to test
% test1... optional list of additional tests
%
% EXAMPLES
%
% % Test if x is a matrix of integers
% isimatrix(x)
%
% % Test if x is a ma... |
3b79b4c339b62c60d99d8b1c126be47c5ccf87c3794cf5b06848488247f21f7a | MATLAB | 2,014 | 65 | function arrayIndices = sample2index(this, samplingPoints, iDims)
% Returns voxel samplingPoints corresponding to label (coordinate) samplingPoints
%
% Y = MrDimInfo()
% arrayIndices = sample2index(this, samplingPoints)
%
% Inverse operation to get_samplingPoints
%
% This is a method of class MrDimInfo.
%
% IN
% ... |
2abfec3c9c4a54bcb9057be7aa6dcaa0b93c015b0b2daa89c62f734a566be9d8 | MATLAB | 2,016 | 64 | function getTriggers_ssep_LR(params)
% determines & saves trigger times and class labels
% (c) Jiri, May16
disp('triggering on left / right hand ...');
%% per session: load, get trigger times and assign labels, save
for sess = 1:size(params.storage.analyzedSess,2)
t_trigger = [];
clz_label = [];
clz... |
38c83e188a758db9157d155437fe82fd6141707f636e9cf7af34db1d2032c6e9 | MATLAB | 2,016 | 55 | % POP_RUNSCRIPT - Run Matlab script
%
% Usage: >> pop_runscript;
% >> pop_runscript( filename );
%
% Input:
% filename - [string] name of the file.
%
% Author: Arnaud Delorme, SCCN / INC / UCSD, August 2009
% Copyright (C) Arnaud Delorme, August 2009
%
% This file is part of EEGLAB, see http://www.eeglab.org
... |
fe211ce5d61103a89910a8e3ee9989dd2f445e8ba300a0a320ace4b3b922ead7 | MATLAB | 2,016 | 73 | function [output_file]=Neuropixel_AP_preProcessing(name, data_file, channels, start_point, end_point)
% input:
% name: string, name of subject
% data_file: full path to ap.bin file
% channels: a vector with all channels to include (1:384)
% start_point: start point in seconds
% end_p... |
61e276f5222116bb41a27ded73db57408f3221aa4684398cec6412b4a94ff57e | MATLAB | 2,018 | 51 | function elec = bis2fieldtrip(mgridfile, mrifile)
% BIS2FIELDTRIP reads BioImage Suite .mgrid files and converts them
% into a FieldTrip-compatible elec datatype structure and converts electrode
% positions from BioImage Suite mgrid that are in 'xyz' to head coordinates
% of the corresponding MRI volume
%
% Use as
%... |
b3b96b424450662a2159423414e3ab6daf57c0b9440cea977e74d95c3c68ab81 | MATLAB | 2,019 | 38 | %% DistractedDataScript
% Script for analyzing hand-labeled distracted data
% Warning : the bool_distracted only contains values inside the nest zone.
px2cm = 0.169;
truncatedTimes_s = 10;
neural_data_rate = 20;
numTank = 21;
load('NNBtankList.mat');
output_table = table(strings(numTank, 1), zeros(numTank, 1), zeros(... |
d430354af6a8ded814114ac251656039095190ea18632a21163bad6b26f45dad | MATLAB | 2,021 | 69 | function [m0, l0, a0, b0] = tapas_rdcm_get_prior(DCM)
% [m0, l0, a0, b0] = tapas_rdcm_get_prior(DCM)
%
% Returns prior parameters on model parameters (theta) and noise precision
% (tau) for the particular connectivity pattern
%
% Input:
% DCM - model structure
%
% Output:
% m0 - ... |
dbde8c88eaeb26064c99dd2c4df93037f93efccd365d20de4edb37c4786fdb9e | MATLAB | 2,021 | 73 | function this = read_recon6_image_data(this, obj)
% Reads from ImageData format of Recon 6 (Zurich Recon Repository)
%
% Y = MrDataNd()
% Y.read_recon6_image_data(inputs)
%
% This is a method of class MrDataNd.
%
% IN
%
% OUT
%
% EXAMPLE
% read_recon6_image_data
%
% See also MrDataNd
% Author: Saskia Bollman... |
6e7d247e337a2d6ca3fbddd0995dc2e8ddedb6e93d01e010c25beabf8ea0360a | MATLAB | 2,022 | 65 | %% [r2s,t2s,m0] = Wrapper_R2s_Trapezoidal(magn,mask,matrixSize,voxelSize,algorParam,headerAndExtraData)
%
% Input
% --------------
% localField : local field map (tissue fields), in Hz
% mask : signal mask
% matrixSize : size of the input image
% voxelSize : spatial resolution of each dimension of th... |
132633cc1b1b4ee88f6c3cfe22ecf36bc0891317c267d8877c254ce3bd411acc | MATLAB | 2,024 | 63 | function [C] = iem_trialwise_interp(data,angs,angspace,foldvar,angspace2,exclusion,recenter)
% [C] = iem_trialwise_interp(data,angs,angspace,foldvar,angspace2,exclusion,recenter)
nChan = length(angspace);
nChan2 = length(angspace2);
ntime = size(data,3);
nsens = size(data,2);
ntrl = size(data,1); ... |
3fcf89cbd6c33cc1f51377eb6f66f07eb06968890f5544b631bcc2f05c851d31 | MATLAB | 2,024 | 54 | function applicationDimensions = convert_application_dimensions(this, ...
applicationDimensions)
% converts chars of applicationDimensions to indices, and returns error, if
%
% dimension index as default, if char is not a valid label for any dimension
%
% Y = MrDimInfo()
% applicationDimensions = convert_appli... |
2d4ced5e31141ae2503479576a2889a49eba9b62e401b1bd5c67d4344b026f5b | MATLAB | 2,025 | 58 | function pathExamples = tapas_physio_get_path_examples(pathPhysioPublic)
% Returns GitLab-internal or TAPAS-public PhysIO Examples folder, based on
% location of public PhysIO directory
%
% pathExamples = tapas_physio_get_path_examples(pathPhysioPublic)
%
% IN
% pathPhysioPublic location of public PhysIO folder,... |
bbc59645b8e2d827c2d2117fde1874d5f06f8c61c658c8bc5645310d10a372e7 | MATLAB | 2,025 | 103 | function roi = findROI(im)
roi = getInitialROI(im);
time_series = getTimeSeriesBinaryMask(im, roi);
subplot(2,3,1);
imagesc(roi);
subplot(2,3,4);
plot(time_series);
roi = getXCROI(im, time_series, 3);
time_series = getTimeSeriesBinaryMask(im, roi);
subplot(2,3,2);
imagesc(roi);
subplot(2,3,5);
p... |
9b6d7c509d0eec39676b5b7a0946495850b4f9aa6bc52f217ab858d59bccc706 | MATLAB | 2,026 | 56 | function [stop, reason] = stopifclosedfigure(problem, x, info, last) %#ok<INUSL>
% Create an interactive stopping criterion based on a figure closing
%
% function stopfun = stopifclosedfigure()
%
% Use on the options structure passed to a Manopt solver, e.g.:
%
% problem = ... % manopt problem structure with manifold... |
328c30934a9beaab57dc8ea6a70e4c9dd290c3bdb0e89d69207e0f2ed5cebb1f | MATLAB | 2,027 | 57 | % EEG_HIST - history for EEGLAB dataset.
%
% Usage:
% >> EEGOUT = eeg_hist( EEGIN, command );
%
% Inputs:
% EEGIN - input dataset
% command - [string] eeglab command
%
% Author: Arnaud Delorme, SCCN/INC/UCSD, Dec 2003
%
% See also: EEGH, EEGLAB
% Copyright (C) 2003 Arnaud Delorme, SCCN/INC/UCSD, arno@salk.edu
... |
46fc9c9d666619c39bde5bb05327982c5e29a235fc07d490d8c0a38ade487b76 | MATLAB | 2,027 | 69 | % load in and visualize snapshots
NT = NetworkObj('../test/circlenuchexresv.net',struct('dim',2));
NT.setCumEdgeLen(1:NT.nedge);
%% load snapshot data
resdir = '../test/';
filename = [resdir 'test.mesh.txt'];
MSH = MeshObj(filename);
snapfile = [resdir 'test.snap.txt'];
[field,snaptimes,vels] = loadSnapshotFVM(snapf... |
836eae7564d02d4264025536e57e015639336132274735dc8290b109bd3393ef | MATLAB | 2,027 | 67 | % FORMATTING
clear all
close gcf
global warpFactorLevel vigilance bias learningRate maxNumCategories maxNumIterations sampleInterval resample
load Default.mat;
warpFactorLevel = 3; % Set to 3 by default
addpath(pwd);
% GENERATE FIGURE
h0 = figure('Units','normalized', ...
'CloseRequestFcn','callback1', ...
... |
e6bb7489bb8ba529c63705899edbcc2295817c219278058abefe43e48c468ad4 | MATLAB | 2,027 | 67 | function S = randsym(n, N)
% Generates random symmetric matrices with normal entries.
%
% function S = randsym(n)
% function S = randsym(n, N)
%
% S is an n-by-n-by-N array where each slice S(:, :, i) for i = 1..N is a
% random symmetric matrix with upper triangular entries distributed
% independently following a norm... |
2e67398a57755b7af47a01421b47b9bb85227dd748ba838e502deca984efc8cc | MATLAB | 2,028 | 62 | function im = bbox_draw(im,boxes,c,t)
% copied from Ross Girshick
% Fast R-CNN
% Copyright (c) 2015 Microsoft
% Licensed under The MIT License [see LICENSE for details]
% Written by Ross Girshick
% --------------------------------------------------------
% source: https://github.com/rbgirshick/fast-rcnn/blob/master/ma... |
47cd3f958b5f66c5c3e6bb3ee17d44928c1cdea04bf800abd6a46e3328e3cfb6 | MATLAB | 2,028 | 73 | function affineTrafo = make_affineTransformation_reference(~, varargin)
% create a affineTransformation reference object for unit testing
%
% Y = MrUnitTest()
% Y.make_affineTransformation_reference(do_save, fileName)
%
% This is a method of class MrUnitTest.
%
% IN
%
% OUT
%
% EXAMPLE
% make_affineTransformation... |
ddc6e73759f0af86fcbb978f31b8c05f848863e1a214ee7031146aed765c56a9 | MATLAB | 2,029 | 71 | function [nd] = unDecimate(data, columnsWanted)
% deterimntes amount of time between samples and interpolates data
% input of data must have time in the first column
% currently takes one column at a time
% can run a for loop to go through matrix on outside - see below
% [nd] = unDecimate(data, columnsWanted... |
3f57422c2f1e5adee338d939317063794c41c77adc333ecfa2265de5118e5abf | MATLAB | 2,032 | 60 | function elec = read_asa_elc(fn)
% READ_ASA_ELC reads electrodes from an ASA electrode file
% converting the units to mm
% Copyright (C) 2002-2013, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: you can ... |
45ebd784bf5998e67500a312891fbe70fc1ba461dd302b298e914f146dd45cbe | MATLAB | 2,032 | 49 | function plotBinnedCount(expInfoAll, subjectsToInspect, probeInfo, dayBins)
probeSNUni = unique(expInfoAll.probeSN);
days = cell2mat(expInfoAll.daysSinceImplant);
clear qm_av
for ss = 1:numel(subjectsToInspect)
subjectIdx = contains(expInfoAll.subject,subjectsToInspect(ss));
probes = u... |
484cd9874fb0201d020a6a1a29e3bd40293e7b49c4012834d688c9ccd98da706 | MATLAB | 2,032 | 90 | function [err, Bstrct] = WaverBasisOption (BasisFunc, N_Basis, BasisOpt)
%
% [err,] = WaverBasisOption ()
%
%Purpose:
%
%
%
%Input Parameters:
%
%
%
%Output Parameters:
% err : 0 No Problem
% : 1 Problems
%
%
%
%Key Terms:
%
%More Info :
%
%
%
%
% Author : Ziad Saad
% Date : Fri Jul 18 14:35:24 EDT 2... |
e02e2f54099404478f569c7b57897c7d8d02095e4dd0b3e23d8abf89b70b4b9e | MATLAB | 2,032 | 63 | function count = fwriteVAXG(fid, A, precision)
% FWRITEVAXG(FID, A , PRECISION) writes the elements of 'A' to the
% specified file in VAXG format, translating MATLAB ® values to the specified
% precision. COUNT is the number of elements successfully written.
%
% FID is an integer file identifier obtained from FOPEN... |
10b21d4bfb872ef6b21386a8efe6f8e66be7f9a4c7a7f306979ac7ccc64647f8 | MATLAB | 2,033 | 60 | function display = OpenWindow(display)
%display = OpenWindow([display])
%
%Calls the psychtoolbox command "Screen('OpenWindow') using the 'display'
%structure convention.
%
%Inputs:
% display A structure containing display information with fields:
% screenNum Screen Number (default is ... |
48acee0f839639e4d583e871f3926095f4bea039d5781885fcdb19ab0bc1279f | MATLAB | 2,033 | 60 | function img = fillSmallHoles(img, options)
%FILLSMALLHOLES Fill small holes in a binary image.
%
% DESCRIPTION:
% fillSmallHoles fills small holes in a binary image by using
% bwareaopen on the negative of the image, and then adding the filled
% components to the binary image.
%
% See also:
% http... |
9a900143add91468ddd5109dd94374be67ceabd137485b53733c1ca5666f95b1 | MATLAB | 2,033 | 57 | %% cal voxels in Mst
% Mst clusters from unsmoothed data
% dim is 2.6 mm iso
clear
% sub-pil001 and sub-pil002 have no localizer
%'sub-011' have no hMT;'sub-013' no (rhMT rMTt),'sub-014' no MTt
%'sub-008' have only right mst - !! do manually
subjectList= {'sub-001','sub-002','sub-003','sub-004','sub-005','sub-006','su... |
a63d6f3603d2c71ade0571a1acfb810b34690ed79ffe0fbdd3e4f257e1334d27 | MATLAB | 2,033 | 57 | function [dat] = read_bucn_nirsdata(filename, hdr, begsample, endsample, chanindx)
% READ_BUCN_NIRSDATA reads ASCII-formatted NIRS data acquired with the
% UCL-BIRKBECK machine and postprocessed by the Paris group. The first line
% contains the channel labels and the rest of the file contains per line a
% time sample.... |
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