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values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | lcnhappe/happe-master | ft_platform_supports.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/ft_platform_supports.m | 9,557 | utf_8 | eb0e55d84d57e6873cce8df6cad90d96 | function tf = ft_platform_supports(what,varargin)
% FT_PLATFORM_SUPPORTS returns a boolean indicating whether the current platform
% supports a specific capability
%
% Usage:
% tf = ft_platform_supports(what)
% tf = ft_platform_supports('matlabversion', min_version, max_version)
%
% The following values are allowe... |
github | lcnhappe/happe-master | ft_warning.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/ft_warning.m | 7,789 | utf_8 | d832a7ad5e2f9bb42995e6e5d4caa198 | function [ws, warned] = ft_warning(varargin)
% FT_WARNING will throw a warning for every unique point in the
% stacktrace only, e.g. in a for-loop a warning is thrown only once.
%
% Use as one of the following
% ft_warning(string)
% ft_warning(id, string)
% Alternatively, you can use ft_warning using a timeout
% ... |
github | lcnhappe/happe-master | ft_hastoolbox.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/ft_hastoolbox.m | 24,831 | utf_8 | 43bae19e25ce108f013f1c401e497630 | function [status] = ft_hastoolbox(toolbox, autoadd, silent)
% FT_HASTOOLBOX tests whether an external toolbox is installed. Optionally
% it will try to determine the path to the toolbox and install it
% automatically.
%
% Use as
% [status] = ft_hastoolbox(toolbox, autoadd, silent)
%
% autoadd = 0 means that it will ... |
github | lcnhappe/happe-master | read_yokogawa_data_new.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_yokogawa_data_new.m | 5,623 | utf_8 | 521f307689398a9963b8d12d779650dd | function [dat] = read_yokogawa_data_new(filename, hdr, begsample, endsample, chanindx)
% READ_YOKAGAWA_DATA_NEW reads continuous, epoched or averaged MEG data
% that has been generated by the Yokogawa MEG system and software
% and allows that data to be used in combination with FieldTrip.
%
% Use as
% [dat] = read_y... |
github | lcnhappe/happe-master | read_plexon_nex.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_plexon_nex.m | 7,574 | utf_8 | 0034c1c75c81e41e90e48c678ed2ca9e | function [varargout] = read_plexon_nex(filename, varargin)
% READ_PLEXON_NEX reads header or data from a Plexon *.nex file, which
% is a file containing action-potential (spike) timestamps and waveforms
% (spike channels), event timestamps (event channels), and continuous
% variable data (continuous A/D channels).
%
%... |
github | lcnhappe/happe-master | read_bti_m4d.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_bti_m4d.m | 5,780 | utf_8 | 744eebbd1eba1a856943c7ce24600bc4 | function [msi] = read_bti_m4d(filename)
% READ_BTI_M4D
%
% Use as
% msi = read_bti_m4d(filename)
% Copyright (C) 2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: you can redistribute it and/or modi... |
github | lcnhappe/happe-master | read_asa.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_asa.m | 3,803 | utf_8 | 290f06e1b51f627f99d257a5f1b49465 | function [val] = read_asa(filename, elem, format, number, token)
% READ_ASA reads a specified element from an ASA file
%
% val = read_asa(filename, element, type, number)
%
% where the element is a string such as
% NumberSlices
% NumberPositions
% Rows
% Columns
% etc.
%
% and format specifies the datatype a... |
github | lcnhappe/happe-master | ft_checkdata.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/ft_checkdata.m | 57,523 | utf_8 | 361ae795581b786433b88af3f624763d | function [data] = ft_checkdata(data, varargin)
% FT_CHECKDATA checks the input data of the main FieldTrip functions, e.g. whether
% the type of data strucure corresponds with the required data. If neccessary
% and possible, this function will adjust the data structure to the input
% requirements (e.g. change dimord, a... |
github | lcnhappe/happe-master | read_yokogawa_data.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_yokogawa_data.m | 10,974 | utf_8 | 493fda2552516eab52e525c3387a7397 | function [dat] = read_yokogawa_data(filename, hdr, begsample, endsample, chanindx)
% READ_YOKAGAWA_DATA reads continuous, epoched or averaged MEG data
% that has been generated by the Yokogawa MEG system and software
% and allows that data to be used in combination with FieldTrip.
%
% Use as
% [dat] = read_yokogawa_... |
github | lcnhappe/happe-master | decode_fif.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/decode_fif.m | 5,978 | utf_8 | d33206202f4aa5a18ba3ada03de48664 | function [info] = decode_fif(orig)
% DECODE_FIF is a helper function for real-time processing of Neuromag data. This
% function is used to decode the content of the optional neuromag_fif chunk(s).
%
% See also DECODE_RES4, DECODE_NIFTI1, SAP2MATLAB
% Copyright (C) 2013 Arjen Stolk & Robert Oostenveld
%
% This file is... |
github | lcnhappe/happe-master | read_biff.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_biff.m | 5,799 | utf_8 | 78a82ce91f8383fd0f478b921280d6bb | function [this] = read_biff(filename, opt)
% READ_BIFF reads data and header information from a BIFF file
%
% This is a attemt for a reference implementation to read the BIFF
% file format as defined by the Clinical Neurophysiology department of
% the University Medical Centre, Nijmegen.
%
% read all data and inform... |
github | lcnhappe/happe-master | read_eeglabheader.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_eeglabheader.m | 2,267 | utf_8 | f76d1bbb9aa657b05643502ef19fdb10 | % read_eeglabheader() - import EEGLAB dataset files
%
% Usage:
% >> header = read_eeglabheader(filename);
%
% Inputs:
% filename - [string] file name
%
% Outputs:
% header - FILEIO toolbox type structure
%
% Author: Arnaud Delorme, SCCN, INC, UCSD, 2008-
%1234567890123456789012345678901234567890123456789012345... |
github | lcnhappe/happe-master | read_ctf_svl.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_ctf_svl.m | 3,812 | utf_8 | d3442d0a013cf5e0a8d4277d99e45206 | % [data, hdr] = opensvl(filename)
%
% Reads a CTF SAM (.svl) file.
function [data, hdr] = read_ctf_svl(filename)
fid = fopen(filename, 'rb', 'ieee-be', 'ISO-8859-1');
if fid <= 0
error('Could not open SAM file: %s\n', filename);
end
% --------------------------------------------------------------... |
github | lcnhappe/happe-master | read_erplabevent.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_erplabevent.m | 1,786 | utf_8 | 40ece49ff6bd2afd6024b46f210e65fa | % read_erplabevent() - import ERPLAB dataset events
%
% Usage:
% >> event = read_erplabevent(filename, ...);
%
% Inputs:
% filename - [string] file name
%
% Optional inputs:
% 'header' - FILEIO structure header
%
% Outputs:
% event - FILEIO toolbox event structure
%
% Modified from read_eeglabevent
%12... |
github | lcnhappe/happe-master | read_yokogawa_header_new.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_yokogawa_header_new.m | 8,887 | utf_8 | 70f6185e29007e7790efc5a8cb91bf23 | function hdr = read_yokogawa_header_new(filename)
% READ_YOKOGAWA_HEADER_NEW reads the header information from continuous,
% epoched or averaged MEG data that has been generated by the Yokogawa
% MEG system and software and allows that data to be used in combination
% with FieldTrip.
%
% Use as
% [hdr] = read_yokogaw... |
github | lcnhappe/happe-master | ft_datatype_raw.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/ft_datatype_raw.m | 11,070 | utf_8 | aff8ada66bf72bd5975e10ea4d2a3648 | function [data] = ft_datatype_raw(data, varargin)
% FT_DATATYPE_RAW describes the FieldTrip MATLAB structure for raw data
%
% The raw datatype represents sensor-level time-domain data typically
% obtained after calling FT_DEFINETRIAL and FT_PREPROCESSING. It contains
% one or multiple segments of data, each represente... |
github | lcnhappe/happe-master | getdimsiz.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/getdimsiz.m | 2,235 | utf_8 | 340d495a654f2f6752aa1af7ac915390 | function dimsiz = getdimsiz(data, field)
% GETDIMSIZ
%
% Use as
% dimsiz = getdimsiz(data, field)
%
% If the length of the vector that is returned is smaller than the
% number of dimensions that you would expect from GETDIMORD, you
% should assume that it has trailing singleton dimensions.
%
% Example use
% dimord... |
github | lcnhappe/happe-master | read_yokogawa_header.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_yokogawa_header.m | 8,273 | utf_8 | ce0d6dbecc09597da7bbb311519c6c84 | function hdr = read_yokogawa_header(filename)
% READ_YOKOGAWA_HEADER reads the header information from continuous,
% epoched or averaged MEG data that has been generated by the Yokogawa
% MEG system and software and allows that data to be used in combination
% with FieldTrip.
%
% Use as
% [hdr] = read_yokogawa_heade... |
github | lcnhappe/happe-master | encode_nifti1.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/encode_nifti1.m | 4,870 | utf_8 | 9cf92a03587c511a5cec2c8c76a3c2c3 | function blob = encode_nifti1(H)
%function blob = encode_nifti1(H)
%
% Encodes a NIFTI-1 header (=> raw 348 bytes (uint8)) from a Matlab structure
% that matches the C struct defined in nifti1.h.
%
% WARNING: This function currently ignores endianness !!!
% (C) 2010 S.Klanke
blob = uint8(zeros(1,348));
if ~isstruct(... |
github | lcnhappe/happe-master | read_nervus_header.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_nervus_header.m | 30,014 | utf_8 | a7e8259eae22c5af14fb48467f95f2b7 | function output = read_nervus_header(filename)
% read_nervus_header Returns header information from Nicolet file.
%
% FILENAME is the file name of a file in the Natus/Nicolet/Nervus(TM)
% format (originally designed by Taugagreining HF in Iceland)
%
% Based on ieeg-portal/Nicolet-Reader
% at https://github.com... |
github | lcnhappe/happe-master | avw_hdr_read.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/avw_hdr_read.m | 16,654 | utf_8 | f63f3dbd244a89c6108eff59453680c3 | function [ avw, machine ] = avw_hdr_read(fileprefix, machine, verbose)
% avw_hdr_read - read Analyze format data header (*.hdr)
%
% [ avw, machine ] = avw_hdr_read(fileprefix, [machine], [verbose])
%
% fileprefix - string filename (without .hdr); the file name
% can be given as a full path or relative to ... |
github | lcnhappe/happe-master | read_stl.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_stl.m | 4,432 | utf_8 | 6aec08043b6655fd9efe5194e20bf28f | function [pnt, tri, nrm] = read_stl(filename)
% READ_STL reads a triangulation from an ascii or binary *.stl file, which
% is a file format native to the stereolithography CAD software created by
% 3D Systems.
%
% Use as
% [pnt, tri, nrm] = read_stl(filename)
%
% The format is described at http://en.wikipedia.org/wi... |
github | lcnhappe/happe-master | read_itab_mhd.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_itab_mhd.m | 12,518 | utf_8 | d0ebd0b4e1de627d76cb523010d16ec7 | function mhd = read_itab_mhd(filename)
fid = fopen(filename, 'rb');
% Name of structure
mhd.stname = fread(fid, [1 10], 'uint8=>char'); % Header identifier (VP_BIOMAG)
mhd.stver = fread(fid, [1 8], 'uint8=>char'); % Header version
mhd.stendian = fread(fid, [1 4], 'uint8=>char'); % ... |
github | lcnhappe/happe-master | read_plexon_plx.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_plexon_plx.m | 20,283 | utf_8 | ec115cb91003e60359655fdd73fdfdb6 | function [varargout] = read_plexon_plx(filename, varargin)
% READ_PLEXON_PLX reads header or data from a Plexon *.plx file, which
% is a file containing action-potential (spike) timestamps and waveforms
% (spike channels), event timestamps (event channels), and continuous
% variable data (continuous A/D channels).
%
%... |
github | lcnhappe/happe-master | read_neurosim_evolution.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_neurosim_evolution.m | 4,493 | utf_8 | 611253a932a6acc90c0b61a442dc58a5 | function [hdr, dat] = read_neurosim_evolution(filename, varargin)
% READ_NEUROSIM_EVOLUTION reads the "evolution" file that is written
% by Jan van der Eerden's NeuroSim software. When a directory is used
% as input, the default filename 'evolution' is read.
%
% Use as
% [hdr, dat] = read_neurosim_evolution(filename... |
github | lcnhappe/happe-master | read_eeglabevent.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_eeglabevent.m | 3,698 | utf_8 | d48c0efc8368b120e96562164a153a88 | % read_eeglabevent() - import EEGLAB dataset events
%
% Usage:
% >> event = read_eeglabevent(filename, ...);
%
% Inputs:
% filename - [string] file name
%
% Optional inputs:
% 'header' - FILEIO structure header
%
% Outputs:
% event - FILEIO toolbox event structure
%
% Author: Arnaud Delorme, SCCN, INC, ... |
github | lcnhappe/happe-master | read_bti_ascii.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/read_bti_ascii.m | 2,240 | utf_8 | 560f3413b1fc96661f8ed42823efdc13 | function [file] = read_bti_ascii(filename)
% READ_BTI_ASCII reads general data from a BTI configuration file
%
% The file should be formatted like
% Group:
% item1 : value1a value1b value1c
% item2 : value2a value2b value2c
% item3 : value3a value3b value3c
% item4 : value4a value4b value4c ... |
github | lcnhappe/happe-master | openbdf.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/fileio/private/openbdf.m | 6,812 | utf_8 | cb49358a2a955b165a5c50127c25e3d8 | % openbdf() - Opens an BDF File (European Data Format for Biosignals) in MATLAB (R)
%
% Usage:
% >> EDF=openedf(FILENAME)
%
% Note: About EDF -> www.biosemi.com/faq/file_format.htm
%
% Author: Alois Schloegl, 5.Nov.1998
%
% See also: readedf()
% Copyright (C) 1997-1998 by Alois Schloegl
% a.schloegl@ieee.org
% ... |
github | lcnhappe/happe-master | ft_trialfun_general.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/trialfun/ft_trialfun_general.m | 13,804 | utf_8 | 24b04b8f0e079fd37494db20f8d6a99a | function [trl, event] = ft_trialfun_general(cfg)
% FT_TRIALFUN_GENERAL determines trials/segments in the data that are
% interesting for analysis, using the general event structure returned
% by read_event. This function is independent of the dataformat
%
% The trialdef structure can contain the following specificatio... |
github | lcnhappe/happe-master | ft_trialfun_realtime.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/trialfun/ft_trialfun_realtime.m | 4,420 | utf_8 | d7133e3da082881a031513a257c0a2d9 | function trl = ft_trialfun_realtime(cfg)
% FT_TRIALFUN_REALTIME can be used to segment a continuous stream of
% data in real-time. Trials are defined as [begsample endsample offset
% condition]
%
% The configuration structure can contain the following specifications
% cfg.minsample = the last sample number that was... |
github | lcnhappe/happe-master | select_channel_list.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/trialfun/private/select_channel_list.m | 5,924 | utf_8 | 94982b0a4829981930c1c446e459ca7c | function [select] = select_channel_list(label, select, titlestr)
% SELECT_CHANNEL_LIST presents a dialog for selecting multiple elements
% from a cell array with strings, such as the labels of EEG channels.
% The dialog presents two columns with an add and remove mechanism.
%
% select = select_channel_list(label, ini... |
github | lcnhappe/happe-master | ft_headmodel_fns.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/ft_headmodel_fns.m | 5,517 | utf_8 | f2babb12e0dbf26d42ff2aa1a9791792 | function headmodel = ft_headmodel_fns(seg, varargin)
% FT_HEADMODEL_FNS creates the volume conduction structure to be used
% in the FNS forward solver.
%
% Use as
% headmodel = ft_headmodel_fns(seg, ...)
%
% Optional input arguments should be specified in key-value pairs and
% can include
% tissuecond = matr... |
github | lcnhappe/happe-master | ft_convert_units.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/ft_convert_units.m | 10,207 | utf_8 | d3c04f1222517baf2f069d68e3dd6abe | function [obj] = ft_convert_units(obj, target, varargin)
% FT_CONVERT_UNITS changes the geometrical dimension to the specified SI unit.
% The units of the input object is determined from the structure field
% object.unit, or is estimated based on the spatial extend of the structure,
% e.g. a volume conduction model of... |
github | lcnhappe/happe-master | ft_apply_montage.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/ft_apply_montage.m | 21,632 | utf_8 | 44431986d20b2a03b833ec06858af91d | function [input] = ft_apply_montage(input, montage, varargin)
% FT_APPLY_MONTAGE changes the montage of an electrode or gradiometer array. A
% montage can be used for EEG rereferencing, MEG synthetic gradients, MEG
% planar gradients or unmixing using ICA. This function applies the montage
% to the input EEG or MEG se... |
github | lcnhappe/happe-master | ft_headmodel_slab.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/ft_headmodel_slab.m | 3,563 | utf_8 | a25dc7acd56e431b9a85280512392362 | function headmodel = ft_headmodel_slab(mesh1, mesh2, Pc, varargin)
% FT_HEADMODEL_SLAB creates an EEG volume conduction model that
% is described with an infinite conductive slab. You can think
% of this as two parallel planes containing a mass of conductive
% material (e.g. water) and externally to them a non-conduct... |
github | lcnhappe/happe-master | ft_prepare_vol_sens.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/ft_prepare_vol_sens.m | 26,259 | utf_8 | 225596851f014058749908d3367e615b | function [headmodel, sens] = ft_prepare_vol_sens(headmodel, sens, varargin)
% FT_PREPARE_VOL_SENS does some bookkeeping to ensure that the volume
% conductor model and the sensor array are ready for subsequent forward
% leadfield computations. It takes care of some pre-computations that can
% be done efficiently prior... |
github | lcnhappe/happe-master | ft_headmodel_halfspace.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/ft_headmodel_halfspace.m | 3,238 | utf_8 | 1c182d8deabdfeefe195129d7faa2b2d | function headmodel = ft_headmodel_halfspace(mesh, Pc, varargin)
% FT_HEADMODEL_HALFSPACE creates an EEG volume conduction model that
% is described with an infinite conductive halfspace. You can think
% of this as a plane with on one side a infinite mass of conductive
% material (e.g. water) and on the other side non-... |
github | lcnhappe/happe-master | ft_headmodel_dipoli.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/ft_headmodel_dipoli.m | 7,156 | utf_8 | aa51271ac3c67c39dcc78a6d6937d469 | function headmodel = ft_headmodel_dipoli(mesh, varargin)
% FT_HEADMODEL_DIPOLI creates a volume conduction model of the head
% using the boundary element method (BEM) for EEG. This function takes
% as input the triangulated surfaces that describe the boundaries and
% returns as output a volume conduction model which c... |
github | lcnhappe/happe-master | ft_headmodel_openmeeg.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/ft_headmodel_openmeeg.m | 6,801 | utf_8 | 88866540a84637e828c25e8c1d20d1ed | function headmodel = ft_headmodel_openmeeg(mesh, varargin)
% FT_HEADMODEL_OPENMEEG creates a volume conduction model of the
% head using the boundary element method (BEM). This function takes
% as input the triangulated surfaces that describe the boundaries and
% returns as output a volume conduction model which can b... |
github | lcnhappe/happe-master | ft_datatype_sens.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/ft_datatype_sens.m | 22,743 | utf_8 | fab01996ef9a98c643827fb2767fbaf3 | function [sens] = ft_datatype_sens(sens, varargin)
% FT_DATATYPE_SENS describes the FieldTrip structure that represents an EEG, ECoG, or
% MEG sensor array. This structure is commonly called "elec" for EEG, "grad" for MEG,
% "opto" for NIRS, or general "sens" for either one.
%
% For all sensor types a distinction shou... |
github | lcnhappe/happe-master | pinvNx2.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/pinvNx2.m | 1,116 | utf_8 | a10c4b3cf66f4a8756fdb95d62b5e04a | function y = pinvNx2(x)
% PINVNX2 computes a pseudo-inverse of the slices of an Nx2xM real-valued matrix.
% Output has dimensionality 2xNxM. This implementation is generally faster
% than calling pinv in a for-loop, once M > 2
siz = [size(x) 1];
xtx = zeros([2,2,siz(3:end)]);
xtx(1,1,:,:) = sum(x(:,1,:,:).^2,1);
xtx... |
github | lcnhappe/happe-master | normals.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/normals.m | 2,528 | utf_8 | 96701c7ebda7e6efca8095b3adb6081c | function [nrm] = normals(pnt, tri, opt)
% NORMALS compute the surface normals of a triangular mesh
% for each triangle or for each vertex
%
% [nrm] = normals(pnt, tri, opt)
% where opt is either 'vertex' or 'triangle'
% Copyright (C) 2002-2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fiel... |
github | lcnhappe/happe-master | meg_ini.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/meg_ini.m | 5,362 | utf_8 | 57aac4444f8347f1d9de9ff52daf0147 | function forwpar=meg_ini(vc,center,order,sens,refs,gradlocs,weights)
% initializes MEG-forward calculation
% usage: forwpar=meg_ini(vc,center,order,sens,refs,gradlocs,weights)
%
% input:
% vc: Nx6 matrix; N is the number of surface points
% the first three numbers in each row are the location
% and the seco... |
github | lcnhappe/happe-master | eeg_halfspace_monopole.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/eeg_halfspace_monopole.m | 3,463 | utf_8 | 20c31956ac04fd0bf5615016a9aec23e | function [lf] = eeg_halfspace_monopole(rd, elc, vol)
% EEG_HALFSPACE_MONOPOLE calculate the halfspace medium leadfield
% on positions pnt for a monopole at position rd and conductivity cond
% The halfspace solution requires a plane dividing a conductive zone of
% conductivity cond, from a non coductive zone (cond = 0)... |
github | lcnhappe/happe-master | eeg_halfspace_medium_leadfield.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/eeg_halfspace_medium_leadfield.m | 3,463 | utf_8 | b68f2792331216de0c239ced9734fe42 | function [lf] = eeg_halfspace_medium_leadfield(rd, elc, vol)
% HALFSPACE_MEDIUM_LEADFIELD calculate the halfspace medium leadfield
% on positions pnt for a dipole at position rd and conductivity cond
% The halfspace solution requires a plane dividing a conductive zone of
% conductivity cond, from a non coductive zone ... |
github | lcnhappe/happe-master | ft_warning.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/ft_warning.m | 7,789 | utf_8 | d832a7ad5e2f9bb42995e6e5d4caa198 | function [ws, warned] = ft_warning(varargin)
% FT_WARNING will throw a warning for every unique point in the
% stacktrace only, e.g. in a for-loop a warning is thrown only once.
%
% Use as one of the following
% ft_warning(string)
% ft_warning(id, string)
% Alternatively, you can use ft_warning using a timeout
% ... |
github | lcnhappe/happe-master | leadsphere_all.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/leadsphere_all.m | 2,291 | utf_8 | 3d513e7f5d8a9f4a12ced5392ee85220 | function out=leadsphere_chans(xloc,sensorloc,sensorori)
% usage: out=leadsphere_chans(xloc,sensorloc,sensorori)
% Copyright (C) 2003, Guido Nolte
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: you can redistribute it and/o... |
github | lcnhappe/happe-master | ft_hastoolbox.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/ft_hastoolbox.m | 24,831 | utf_8 | 43bae19e25ce108f013f1c401e497630 | function [status] = ft_hastoolbox(toolbox, autoadd, silent)
% FT_HASTOOLBOX tests whether an external toolbox is installed. Optionally
% it will try to determine the path to the toolbox and install it
% automatically.
%
% Use as
% [status] = ft_hastoolbox(toolbox, autoadd, silent)
%
% autoadd = 0 means that it will ... |
github | lcnhappe/happe-master | mesh2edge.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/mesh2edge.m | 3,713 | utf_8 | 410baaa2ca114acab82443de9a844a68 | function [newbnd] = mesh2edge(bnd)
% MESH2EDGE finds the edge lines from a triangulated mesh or the edge
% surfaces from a tetrahedral or hexahedral mesh. An edge is defined as an
% element that does not border any other element. This also implies that a
% closed triangulated surface has no edges.
%
% Use as
% [edge... |
github | lcnhappe/happe-master | project_elec.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/project_elec.m | 3,791 | utf_8 | 61bc3f095e4ced1311048c06823bb037 | function [el, prj] = project_elec(elc, pnt, tri)
% PROJECT_ELEC projects electrodes on a triangulated surface
% and returns triangle index, la/mu parameters and distance
%
% Use as
% [el, prj] = project_elec(elc, pnt, tri)
% which returns
% el = Nx4 matrix with [tri, la, mu, dist] for each electrode
% prj ... |
github | lcnhappe/happe-master | eeg_slab_monopole.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/eeg_slab_monopole.m | 4,375 | utf_8 | 1ffef5225bbeaf47b2a91906c7df7b3a | function [lf] = eeg_slab_monopole(rd, elc, vol)
% EEG_SLAB_MONOPOLE calculate the strip medium leadfield
% on positions pnt for a monopole at position rd and conductivity cond
% The halfspace solution requires a plane dividing a conductive zone of
% conductivity cond, from a non coductive zone (cond = 0)
%
% [l... |
github | lcnhappe/happe-master | eeg_leadfield1.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/eeg_leadfield1.m | 3,868 | utf_8 | 84a91d4f1daf6dc32450398058ef4c3c | function lf = eeg_leadfield1(R, elc, vol)
% EEG_LEADFIELD1 electric leadfield for a dipole in a single sphere
%
% [lf] = eeg_leadfield1(R, elc, vol)
%
% with input arguments
% R position dipole (vector of length 3)
% elc position electrodes
% and vol being a structure with the elements
% vol.r ... |
github | lcnhappe/happe-master | meg_forward.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/meg_forward.m | 3,954 | utf_8 | e674beba8b799e44fadd7b5e0ee82b9a | function field=meg_forward(dip_par,forwpar)
% calculates the magnetic field of n dipoles
% in a realistic volume conductor
% usage: field=meg_forward(dip_par,forwpar)
%
% input:
% dip_par nx6 matrix where each row contains location (first 3 numbers)
% and moment (second 3 numbers) of a dipole
% forwpar structur... |
github | lcnhappe/happe-master | leadfield_openmeeg.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/forward/private/leadfield_openmeeg.m | 16,073 | utf_8 | 59380282979799a30ccf58093f1bc3d8 | function [lp, voxels_in] = leadfield_openmeeg ( voxels, vol, sens, varargin )
% FT_OM_COMPUTE_LEAD uses OpenMEEG to compute the lead fields / potentials
% using the boundary element method (BEM).
% The inputs are as follows:
% voxels = an [Nx3] array of voxel locations.
% vol = the volume structure co... |
github | lcnhappe/happe-master | firwsord.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/preproc/private/firwsord.m | 2,973 | utf_8 | a2d4fcfe22b1570834add343cd9b6bc0 | % firwsord() - Estimate windowed sinc FIR filter order depending on
% window type and requested transition band width
%
% Usage:
% >> [m, dev] = firwsord(wtype, fs, df);
% >> m = firwsord('kaiser', fs, df, dev);
%
% Inputs:
% wtype - char array window type. 'rectangular', 'bartlett', 'hann',
% ... |
github | lcnhappe/happe-master | minphaserceps.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/preproc/private/minphaserceps.m | 2,151 | utf_8 | 57715581f54dbcadc7e0a0bda70ce5c9 | % rcepsminphase() - Convert FIR filter coefficient to minimum phase
%
% Usage:
% >> b = minphaserceps(b);
%
% Inputs:
% b - FIR filter coefficients
%
% Outputs:
% bMinPhase - minimum phase FIR filter coefficients
%
% Author: Andreas Widmann, University of Leipzig, 2013
%
% References:
% [1] Smith III, O. J. (20... |
github | lcnhappe/happe-master | firws.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/preproc/private/firws.m | 3,217 | utf_8 | c683c72e05eaadd0e53428ab481f880a | %firws() - Designs windowed sinc type I linear phase FIR filter
%
% Usage:
% >> b = firws(m, f);
% >> b = firws(m, f, w);
% >> b = firws(m, f, t);
% >> b = firws(m, f, t, w);
%
% Inputs:
% m - filter order (mandatory even)
% f - vector or scalar of cutoff frequency/ies (-6 dB;
% pi rad / sample)
%
% O... |
github | lcnhappe/happe-master | kaiserbeta.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/preproc/private/kaiserbeta.m | 1,569 | utf_8 | 18e3b152604b8dd8d1bb7052e720f3a6 | % kaiserbeta() - Estimate Kaiser window beta
%
% Usage:
% >> beta = pop_kaiserbeta(dev);
%
% Inputs:
% dev - scalar maximum passband deviation/ripple
%
% Output:
% beta - scalar Kaiser window beta
%
% References:
% [1] Proakis, J. G., & Manolakis, D. G. (1996). Digital Signal
% Processing: Prin... |
github | lcnhappe/happe-master | invfirwsord.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/preproc/private/invfirwsord.m | 2,900 | utf_8 | 1ede4ed306eda03dcaa8daffa9426079 | % invfirwsord() - Estimate windowed sinc FIR filter transition band width
% depending on filter order and window type
%
% Usage:
% >> [df, dev] = invfirwsord(wtype, fs, m);
% >> df = invfirwsord('kaiser', fs, m, dev);
%
% Inputs:
% wtype - char array window type. 'rectangular', 'bartlett', 'hann'... |
github | lcnhappe/happe-master | windows.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/preproc/private/windows.m | 3,152 | utf_8 | 13d9e2d7d608f7550b77f84278c89184 | % windows() - Symmetric window functions
%
% Usage:
% >> h = windows(t, m);
% >> h = windows(t, m, a);
%
% Inputs:
% t - char array 'rectangular', 'bartlett', 'hann', 'hamming',
% 'blackman', 'blackmanharris', 'kaiser', or 'tukey'
% m - scalar window length
%
% Optional inputs:
% a - scalar or vector wi... |
github | lcnhappe/happe-master | ft_warning.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/preproc/private/ft_warning.m | 7,789 | utf_8 | d832a7ad5e2f9bb42995e6e5d4caa198 | function [ws, warned] = ft_warning(varargin)
% FT_WARNING will throw a warning for every unique point in the
% stacktrace only, e.g. in a for-loop a warning is thrown only once.
%
% Use as one of the following
% ft_warning(string)
% ft_warning(id, string)
% Alternatively, you can use ft_warning using a timeout
% ... |
github | lcnhappe/happe-master | fir_filterdcpadded.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/preproc/private/fir_filterdcpadded.m | 2,934 | utf_8 | a5287ea8667b904280539687a04797ca | % fir_filterdcpadded() - Pad data with DC constant and filter
%
% Usage:
% >> data = fir_filterdcpadded(b, a, data, causal);
%
% Inputs:
% b - vector of filter coefficients
% a - 1
% data - raw data (times x chans)
% causal - boolean perform causal filtering {default 0}... |
github | lcnhappe/happe-master | plotfresp.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/preproc/private/plotfresp.m | 5,213 | utf_8 | 02ff3bdc63f5c3410460734e2a7378fe | % plotfresp() - Plot a filter's impulse, step, magnitude, and phase response
%
% Usage:
% >> plotfresp(b, a, nfft, fs, causal);
%
% Inputs:
% b - vector numerator coefficients
%
% Optional inputs:
% a - scalar or vector denominator coefficients (IIR support is
% experimental!) {default 1}
% nf... |
github | lcnhappe/happe-master | qsublist.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/qsub/qsublist.m | 8,076 | utf_8 | d9f7d454a9f8d6bc5991aa409e239c11 | function retval = qsublist(cmd, jobid, pbsid)
% QSUBLIST is a helper function that is used to keep track of all the jobs in a
% submitted batch. specifically, it is used to maintain the mapping between the
% job identifier in the batch queueing system and MATLAB.
%
% Use as
% qsublist('list')
% qsublist('killall')... |
github | lcnhappe/happe-master | qsubcellfun.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/qsub/qsubcellfun.m | 19,264 | utf_8 | ed7719203341c9d8668d006d2ffc44bb | function varargout = qsubcellfun(fname, varargin)
% QSUBCELLFUN applies a function to each element of a cell-array. The
% function execution is done in parallel using the Torque, SGE, PBS or
% SLURM batch queue system.
%
% Use as
% argout = qsubcellfun(fname, x1, x2, ...)
%
% This function has a number of optional a... |
github | lcnhappe/happe-master | qsublisten.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/qsub/qsublisten.m | 4,326 | utf_8 | 6ac189cba48025bdbd36f682f9b258cc | function num = qsublisten(callback, varargin)
% QSUBLISTEN checks whether jobs, submitted by qsubfeval, have been
% completed. Whenever a job returns, it executes the provided callback function
% (should be a function handle), with the job ID as an input argument. Results
% can then be retrieved by calling QSUBGET. ... |
github | lcnhappe/happe-master | ft_platform_supports.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/qsub/private/ft_platform_supports.m | 9,557 | utf_8 | eb0e55d84d57e6873cce8df6cad90d96 | function tf = ft_platform_supports(what,varargin)
% FT_PLATFORM_SUPPORTS returns a boolean indicating whether the current platform
% supports a specific capability
%
% Usage:
% tf = ft_platform_supports(what)
% tf = ft_platform_supports('matlabversion', min_version, max_version)
%
% The following values are allowe... |
github | lcnhappe/happe-master | ft_warning.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/qsub/private/ft_warning.m | 7,789 | utf_8 | d832a7ad5e2f9bb42995e6e5d4caa198 | function [ws, warned] = ft_warning(varargin)
% FT_WARNING will throw a warning for every unique point in the
% stacktrace only, e.g. in a for-loop a warning is thrown only once.
%
% Use as one of the following
% ft_warning(string)
% ft_warning(id, string)
% Alternatively, you can use ft_warning using a timeout
% ... |
github | lcnhappe/happe-master | ft_checkopt.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/qsub/private/ft_checkopt.m | 5,085 | utf_8 | c8bce4359cc4a8be5591788b5984166d | function opt = ft_checkopt(opt, key, allowedtype, allowedval)
% FT_CHECKOPT does a validity test on the types and values of a configuration
% structure or cell-array with key-value pairs.
%
% Use as
% opt = ft_checkopt(opt, key)
% opt = ft_checkopt(opt, key, allowedtype)
% opt = ft_checkopt(opt, key, allowedtype... |
github | lcnhappe/happe-master | ft_statfun_roc.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/statfun/ft_statfun_roc.m | 5,415 | utf_8 | a8e88fc1a733545abfe4d0608e309d53 | function [s, cfg] = ft_statfun_roc(cfg, dat, design)
% FT_STATFUN_ROC computes the area under the curve (AUC) of the
% Receiver Operator Characteristic (ROC). This is a measure of the
% separability of the data divided over two conditions. The AUC can
% be used to test statistical significance of being able to predict... |
github | lcnhappe/happe-master | ft_warning.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/statfun/private/ft_warning.m | 7,789 | utf_8 | d832a7ad5e2f9bb42995e6e5d4caa198 | function [ws, warned] = ft_warning(varargin)
% FT_WARNING will throw a warning for every unique point in the
% stacktrace only, e.g. in a for-loop a warning is thrown only once.
%
% Use as one of the following
% ft_warning(string)
% ft_warning(id, string)
% Alternatively, you can use ft_warning using a timeout
% ... |
github | lcnhappe/happe-master | ft_realtime_ouunpod.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/online_eeg/ft_realtime_ouunpod.m | 20,299 | utf_8 | e7df0f8c5ebb142a8a4f339bb345f448 | function ft_realtime_ouunpod(cfg)
% FT_REALTIME_OUUNPOD is an example realtime application for online power
% estimation and visualisation. It is designed for use with the OuUnPod, an
% OpenEEG based low cost EEG system with two channels, but in principle
% should work for any EEG or MEG system.
%
% Use as
% ft_real... |
github | lcnhappe/happe-master | ft_realtime_oddball.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/online_eeg/ft_realtime_oddball.m | 13,163 | utf_8 | d5a3400a1168a9e53bccbb79f889bebb | function ft_realtime_oddball(cfg)
% FT_REALTIME_ODDBALL is an realtime application that computes an online
% average for a standard and deviant condition. The ERPs/ERFs are plotted,
% together with the difference as t-values. It should work both for EEG and
% MEG, as long as there are two triggers present
%
% Use as
%... |
github | lcnhappe/happe-master | ft_omri_info_from_header.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/online_mri/ft_omri_info_from_header.m | 4,361 | utf_8 | 97589ff2ee8f9fa7ee376b4b628de647 | function S = ft_omri_info_from_header(hdr)
% function S = ft_omri_info_from_header(hdr)
%
% Convenience function to retrieve most important MR information
% from a given header (H) as retrieved from a FieldTrip buffer.
% Will look at both NIFTI-1 and SiemensAP fields, if present, and
% give preference to SiemensAP inf... |
github | lcnhappe/happe-master | encode_nifti1.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/online_mri/private/encode_nifti1.m | 4,870 | utf_8 | 9cf92a03587c511a5cec2c8c76a3c2c3 | function blob = encode_nifti1(H)
%function blob = encode_nifti1(H)
%
% Encodes a NIFTI-1 header (=> raw 348 bytes (uint8)) from a Matlab structure
% that matches the C struct defined in nifti1.h.
%
% WARNING: This function currently ignores endianness !!!
% (C) 2010 S.Klanke
blob = uint8(zeros(1,348));
if ~isstruct(... |
github | lcnhappe/happe-master | reslice_vol.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/online_mri/private/reslice_vol.m | 942 | utf_8 | 081ab7897d7a4e33ecb3ade31f6263c0 | function [Va, Mask] = reslice_vol(Vo, M, interp)
% function [Va, Mask] = reslice_vol(Vo, M, interp)
% Ripped out of SPM 8 and modified (2010, S.Klanke)
dim = size(Vo);
wrap = [1;1;0];
d = [interp*[1;1;1] wrap];
[x1,x2] = ndgrid(1:dim(1), 1:dim(2));
C = spm_bsplinc(Vo, d);
Va = zeros(dim);
Mask = zeros(dim);
for x3 ... |
github | lcnhappe/happe-master | ft_realtime_signalviewer.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/example/ft_realtime_signalviewer.m | 9,980 | utf_8 | 80b047f2f1e4ef4fbb3c7f3a8124588a | function ft_realtime_signalviewer(cfg)
% FT_REALTIME_SIGNALVIEWER is an example realtime application for online viewing of
% the data. It should work both for EEG and MEG.
%
% Use as
% ft_realtime_signalviewer(cfg)
% with the following configuration options
% cfg.blocksize = number, size of the blocks/chuncks tha... |
github | lcnhappe/happe-master | ft_realtime_packettimer.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/example/ft_realtime_packettimer.m | 2,522 | utf_8 | ce7334780040a70c9e396dd0e8aa858d | function ft_realtime_packettimer(cfg)
% FT_REALTIME_PACKETTIMER can be used to time the rate at which data can be processed
%
% Use as
% ft_realtime_packettimer(cfg)
% with the following configuration options
% cfg.bcifun = processing of the data (default = @bcifun_timer)
% cfg.npackets = the number of packe... |
github | lcnhappe/happe-master | ft_realtime_topography.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/example/ft_realtime_topography.m | 7,588 | utf_8 | a80a1641c2aa67f4120d9f7bd114d8c8 | function ft_realtime_topography(cfg)
% FT_REALTIME_TOPOGRAPHY reads continuous data from a file or from a data stream,
% estimates the power and plots the scalp topography in real time.
%
% Use as
% ft_realtime_topography(cfg)
% with the following configuration options
% cfg.blocksize = number, size of ... |
github | lcnhappe/happe-master | ft_realtime_heartbeatdetect.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/example/ft_realtime_heartbeatdetect.m | 9,725 | utf_8 | a64cf7e75558cb8c89ea26c459849f8f | function ft_realtime_heartbeatdetect(cfg)
% FT_REALTIME_HEARTBEATDETECT is an example realtime application for online
% detection of heart beats. It should work both for EEG and MEG.
%
% Use as
% ft_realtime_heartbeatdetect(cfg)
% with the following configuration options
% cfg.blocksize = number, size of the bloc... |
github | lcnhappe/happe-master | ft_realtime_powerestimate.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/example/ft_realtime_powerestimate.m | 6,443 | utf_8 | 361c8a8f141a0cc16b24d8c40614a42f | function ft_realtime_powerestimate(cfg)
% FT_REALTIME_POWERESTIMATE is an example realtime application for online
% power estimation. It should work both for EEG and MEG.
%
% Use as
% ft_realtime_powerestimate(cfg)
% with the following configuration options
% cfg.channel = cell-array, see FT_CHANNELSELECTION (d... |
github | lcnhappe/happe-master | ft_realtime_average.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/example/ft_realtime_average.m | 5,663 | utf_8 | b0174ada31b4f5780645667fbe5b9251 | function ft_realtime_average(cfg)
% FT_REALTIME_AVERAGE is an example realtime application for online
% averaging of the data. It should work both for EEG and MEG.
%
% Use as
% ft_realtime_average(cfg)
% with the following configuration options
% cfg.channel = cell-array, see FT_CHANNELSELECTION (default = 'all... |
github | lcnhappe/happe-master | ft_realtime_selectiveaverage.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/example/ft_realtime_selectiveaverage.m | 7,947 | utf_8 | 2d90d2683d30fc029fd00490a76696c1 | function ft_realtime_selectiveaverage(cfg)
% FT_REALTIME_SELECTIVEAVERAGE is an example realtime application for online
% averaging of the data. It should work both for EEG and MEG.
%
% Use as
% ft_realtime_selectiveaverage(cfg)
% with the following configuration options
% cfg.channel = cell-array, see FT_CHANN... |
github | lcnhappe/happe-master | encode_nifti1.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/example/private/encode_nifti1.m | 4,870 | utf_8 | 9cf92a03587c511a5cec2c8c76a3c2c3 | function blob = encode_nifti1(H)
%function blob = encode_nifti1(H)
%
% Encodes a NIFTI-1 header (=> raw 348 bytes (uint8)) from a Matlab structure
% that matches the C struct defined in nifti1.h.
%
% WARNING: This function currently ignores endianness !!!
% (C) 2010 S.Klanke
blob = uint8(zeros(1,348));
if ~isstruct(... |
github | lcnhappe/happe-master | ft_realtime_headlocalizer.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/realtime/online_meg/ft_realtime_headlocalizer.m | 34,879 | utf_8 | da6be976bfcbd763152dc11de64b3c1b | function ft_realtime_headlocalizer(cfg)
% FT_REALTIME_HEADLOCALIZER is a realtime application for online visualization of the
% head position indicator (HPI) coils in CTF275 and Elekta/Neuromag systems.
%
% Repositioning within a recording session can be achieved by marking the HPI
% coil positions at an arbitrary poi... |
github | lcnhappe/happe-master | readBESAimage.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/besa/readBESAimage.m | 8,358 | utf_8 | 4969e3fff82f74a3094d9595d66499e3 | function image = readBESAimage(filename)
% readBESAimage reads information from exported BESA images (Beamformer,
% LAURA, sLORETA, swLORETA, LORETA, sSLOFO, User-Defined image, surface
% minimum norm, Probe scan, Sensitivity). The function poutput is a struct
% with fields containing all relevant information from t... |
github | lcnhappe/happe-master | load_audio0123.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/videomeg/load_audio0123.m | 3,277 | utf_8 | 010d2cece743343ca3b509e44403cb33 | function [ts, ids, offset, data, srate, site_id, is_sender] = load_audio0123(filename)
% Read an audio file from the disk.
%--------------------------------------------------------------------------
% Copyright (C) 2015 BioMag Laboratory, Helsinki University Central Hospital
%
% This program is free software: ... |
github | lcnhappe/happe-master | comp_tstamps.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/videomeg/comp_tstamps.m | 3,190 | utf_8 | f9969e0dd7f6d27c544b26a34bf20649 | function data_tstamps = comp_tstamps(inp, sfreq)
% COMP_TSTAMPS - extract timestamps from a trigger channel
% INP - vector of samples for the trigger channel
% SFREQ - sampling frequency
% Return the vector of the same length as INP, containing timestamps for
% each entry of INP. For detecting timestamps use pa... |
github | lcnhappe/happe-master | mff_micros2Sample.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/egi_mff/mff_micros2Sample.m | 527 | utf_8 | 97dfab73c9d72c1615c28404bc7ca63a | %% mff_micros2Sample.m
% Matlab File
% author Colin Davey
% date 3/2/2012
% Copyright 2012, 2013 EGI. All rights reserved.
% Support routine for MFF Matlab code. Not intended to be called directly.
%
% Converts from microseconds to samples, given the sampling rate.
%%
function [sampleNum, remainder] = mff_micros... |
github | lcnhappe/happe-master | mff_valid.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/egi_mff/mff_valid.m | 2,663 | utf_8 | 04a88daab90374c3cfc10d82a25c9c9e | %% mff_valid.m
% Matlab File
% author Colin Davey
% date 12/3/2013
% Copyright 2013 EGI. All rights reserved.
% Support routine for MFF Matlab code. Not intended to be called directly.
%
% Tests whether a file is valid, and throws an exception if not. Gives an
% informational warning if filename doesn't end in '... |
github | lcnhappe/happe-master | read_mff_header.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/egi_mff/read_mff_header.m | 2,673 | utf_8 | 3709cd08e3c235fbeeed3cc7e8419f1e | %% read_mff_header.m
% Matlab File
% author Colin Davey
% date 3/2/2012, 4/15/2014
% Copyright 2012, 2014 EGI. All rights reserved.
%
% Takes the path to the data and returns the header in the structure
% described at http://www.fieldtriptoolbox.org/reference/ft_read_header.
%
% filePath ? The path to the .mff ... |
github | lcnhappe/happe-master | write_mff_data.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/egi_mff/write_mff_data.m | 4,329 | utf_8 | 6446ec1b98cec6e10279f1c1891567ed | %% write_mff_data.m
% Matlab File
% author Colin Davey
% date 3/2/2012, 4/15/2014
% Copyright 2012, 2014 EGI. All rights reserved.
%
% Writes channel data (newData) in newData to an MFF file. NewData is a 2-D
% matrix of size Nchans*Nsamples as described at
% http://www.fieldtriptoolbox.org/reference/ft_read_da... |
github | lcnhappe/happe-master | read_mff_data.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/egi_mff/read_mff_data.m | 8,057 | utf_8 | dec75b9fc9150ef62661f59c76e781b1 | %% read_mff_data.m
% Matlab File
% author Colin Davey
% date 3/2/2012, 4/15/2014
% Copyright 2012, 2014 EGI. All rights reserved.
%
% Takes the path to the data and returns the 2-D matrix of size
% Nchans*Nsamples as described at
% http://www.fieldtriptoolbox.org/reference/ft_read_data.
%
% filePath ? The pat... |
github | lcnhappe/happe-master | write_mff_event.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/egi_mff/write_mff_event.m | 6,173 | utf_8 | a2125898d8e7a7d9b5d0b39224e9575b | %% write_mff_event.m
% Matlab File
% author Colin Davey
% date 3/2/2012, 4/15/2014
% Copyright 2012, 2014 EGI. All rights reserved.
%
% Writes an events structure (as described at
% http://www.fieldtriptoolbox.org/reference/ft_read_event) to an event-track
% file in an existing MFF file (filePath).
%
% filePa... |
github | lcnhappe/happe-master | write_mff_history.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/egi_mff/write_mff_history.m | 4,440 | utf_8 | c40dcab28c29f1f1502200d38126b463 | %% write_mff_history.m
% Matlab File
% author Colin Davey
% date 4/15/2014
% Copyright 2014 EGI. All rights reserved.
%
% This function adds an item to the list of history items. It is intended
% to be run after running code that either a) creates a new mff file based
% on an existing one, or b) modifies an exis... |
github | lcnhappe/happe-master | read_mff_event.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/egi_mff/read_mff_event.m | 8,001 | utf_8 | 8f54b92417702a6bde1b09e9ea67c6a0 | %% read_mff_event.m
% Matlab File
% author Colin Davey
% date 3/2/2012, 4/15/2014
% Copyright 2012, 2014 EGI. All rights reserved.
%
% Takes the path to the data and returns the events in the structure
% described at http://www.fieldtriptoolbox.org/reference/ft_read_event.
%
% filePath ? The path to the .mff fi... |
github | lcnhappe/happe-master | efficiency_bin.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/bct/efficiency_bin.m | 2,700 | utf_8 | 276bfa775a0cb36ac38e13fcb06ff32a | function E=efficiency_bin(A,local)
%EFFICIENCY_BIN Global efficiency, local efficiency.
%
% Eglob = efficiency_bin(A);
% Eloc = efficiency_bin(A,1);
%
% The global efficiency is the average of inverse shortest path length,
% and is inversely related to the characteristic path length.
%
% The local efficie... |
github | lcnhappe/happe-master | reachdist.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/bct/reachdist.m | 1,995 | utf_8 | fe609993c33b1602c328e2a662f2f8a5 | function [R,D] = reachdist(CIJ)
%REACHDIST Reachability and distance matrices
%
% [R,D] = reachdist(CIJ);
%
% The binary reachability matrix describes reachability between all pairs
% of nodes. An entry (u,v)=1 means that there exists a path from node u
% to node v; alternatively (u,v)=0.
%
% The distan... |
github | lcnhappe/happe-master | consensus_und.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/bct/consensus_und.m | 3,133 | utf_8 | 2399e05c584d7327bb19ba25e2c89812 | function ciu = consensus_und(d,tau,reps)
%CONSENSUS consensus clustering
%
% CIU = CONSENSUS(D,TAU,REPS) seeks a consensus partition of the
% agreement matrix D. The algorithm used here is almost identical to the
% one introduced in Lancichinetti & Fortunato (2012): The agreement
% matrix D is thresholded... |
github | lcnhappe/happe-master | efficiency_wei.m | .m | happe-master/Packages/eeglab14_0_0b/plugins/fieldtrip-20160917/external/bct/efficiency_wei.m | 4,166 | utf_8 | d7b86059eb2ec0a923ab289c876fd9b0 | function E=efficiency_wei(W,local)
%EFFICIENCY_WEI Global efficiency, local efficiency.
%
% Eglob = efficiency_wei(W);
% Eloc = efficiency_wei(W,1);
%
% The global efficiency is the average of inverse shortest path length,
% and is inversely related to the characteristic path length.
%
% The local efficie... |
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