plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | mccahill/docker-novnc-fmri-master | wizard_base.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/wizard_base.m | 11,680 | utf_8 | 88cd34088149d1ea2cd15d78a97926b9 | function h = wizard_gui(filename)
% This is the low level wizard function. It evaluates the MATLAB content
% in the workspace of the calling function. To prevent overwriting
% variables in the BASE workspace, this function should be called from a
% wrapper function. The wrapper function whoudl pause execution untill t... |
github | mccahill/docker-novnc-fmri-master | spikesort.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/spikesort.m | 5,887 | utf_8 | 65677e89b5ce054f29bcd2c5ca491ab7 | function [numA, numB, indA, indB] = spikesort(numA, numB, varargin)
% SPIKESORT uses a variation on the cocktail sort algorithm in combination
% with a city block distance to achieve N-D trial pairing between spike
% counts. The sorting is not guaranteed to result in the optimal pairing. A
% linear pre-sorting algorit... |
github | mccahill/docker-novnc-fmri-master | shiftpredict.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/shiftpredict.m | 8,736 | utf_8 | bd277cd44da5f2b263ddc0c3d1e277b6 | function [prb, cohobs, mcohrnd] = shiftpredict(cfg, dat, datindx, refindx, trltapcnt)
% SHIFTPREDICT implements a shift-predictor for testing significance
% of coherence within a single condition. This function is a subfunction
% for SOURCESTATISTICS_SHIFTPREDICT and FREQSTATISTICS_SHIFTPREDICT.
%
% cfg.method
% cfg.... |
github | mccahill/docker-novnc-fmri-master | volumeedit.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/volumeedit.m | 15,936 | utf_8 | 6ca38d7f776b27f2c37fa57c31694e28 | function [dataout] = volumeedit(data, varargin)
% VOLUMEEDIT allows for editing of a (booleanized) volume, in order to
% remove unwanted voxels. Interaction proceeds with the keyboard and the
% mouse.
% Copyright (C) 2013, Jan-Mathijs Schoffelen
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/f... |
github | mccahill/docker-novnc-fmri-master | csp.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/csp.m | 1,702 | utf_8 | 3eb6c73192bc8163344c9b5e70a04877 | function [W] = csp(C1, C2, m)
% CSP calculates the common spatial pattern (CSP) projection.
%
% Use as:
% [W] = csp(C1, C2, m)
%
% This function implements the intents of the CSP algorithm described in [1].
% Specifically, CSP finds m spatial projections that maximize the variance (or
% band power) in one condition (... |
github | mccahill/docker-novnc-fmri-master | read_besa_src.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/read_besa_src.m | 2,718 | utf_8 | 9e96bd0d4ef60c5e07dc593195404ce5 | function [src] = read_besa_src(filename)
% READ_BESA_SRC reads a beamformer source reconstruction from a BESA file
%
% Use as
% [src] = read_besa_src(filename)
%
% The output structure contains a minimal representation of the contents
% of the file.
% Copyright (C) 2005, Robert Oostenveld
%
% This file is part of F... |
github | mccahill/docker-novnc-fmri-master | splint.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/splint.m | 6,387 | utf_8 | 18b550d734c14390dce57bb534611fb5 | function [V2, L2, L1] = splint(elc1, V1, elc2, order, degree, lambda)
% SPLINT computes the spherical spline interpolation and the surface laplacian
% of an EEG potential distribution
%
% Use as
% [V2, L2, L1] = splint(elc1, V1, elc2)
% where
% elc1 electrode positions where potential is known
% elc2 elec... |
github | mccahill/docker-novnc-fmri-master | find_nearest.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/find_nearest.m | 6,055 | utf_8 | a825f646f8070b85d3838ae337adee3d | function [nearest, distance] = find_nearest(pnt1, pnt2, npart, gridflag)
% FIND_NEAREST finds the nearest vertex in a cloud of points and
% does this efficiently for many target vertices at once (by means
% of partitioning).
%
% Use as
% [nearest, distance] = find_nearest(pnt1, pnt2, npart)
% Copyright (C) 2007, Ro... |
github | mccahill/docker-novnc-fmri-master | prepare_mesh_segmentation.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/prepare_mesh_segmentation.m | 7,418 | utf_8 | 9b627f3f54e5be7cb10ef76c547e747c | function bnd = prepare_mesh_segmentation(cfg, mri)
% PREPARE_MESH_SEGMENTATION
%
% See also PREPARE_MESH_MANUAL, PREPARE_MESH_HEADSHAPE, PREPARE_MESH_HEXAHEDRAL
% Copyrights (C) 2009, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation and details.... |
github | mccahill/docker-novnc-fmri-master | read_besa_avr.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/read_besa_avr.m | 3,929 | utf_8 | 91f2ee59d1af564811511e0e7f201ba4 | function [avr] = read_besa_avr(filename)
% READ_BESA_AVR reads average EEG data in BESA format
%
% Use as
% [avr] = read_besa_avr(filename)
%
% This will return a structure with the header information in
% avr.npnt
% avr.tsb
% avr.di
% avr.sb
% avr.sc
% avr.Nchan (optional)
% avr.label (optional)
%... |
github | mccahill/docker-novnc-fmri-master | topoplot_common.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/topoplot_common.m | 39,133 | utf_8 | 426ec06d64ad06aa3b2363c21b69a574 | function cfg = topoplot_common(cfg, varargin)
% TOPOPLOT_COMMON is shared by FT_TOPOPLOTTFR, FT_TOPOPLOTER and FT_TOPOPLOTIC, which
% serve as placeholder for the documentation and for the pre/postamble.
% Copyright (C) 2005-2011, F.C. Donders Centre
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimagi... |
github | mccahill/docker-novnc-fmri-master | avw_img_write.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/avw_img_write.m | 29,939 | utf_8 | f83bd0814830119805ffef580d768cdc | function avw_img_write(avw, fileprefix, IMGorient, machine, verbose)
% avw_img_write - write Analyze image files (*.img)
%
% avw_img_write(avw,fileprefix,[IMGorient],[machine],[verbose])
%
% avw.img - a 3D matrix of image data (double precision).
% avw.hdr - a struct with image data parameters. If
% ... |
github | mccahill/docker-novnc-fmri-master | triangle2connectivity.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/triangle2connectivity.m | 2,545 | utf_8 | 2866410484defed843b3b91dd04d646f | function [connmat] = triangle2connectivity(tri, pos)
% TRIANGLE2CONNECTIVITY computes a connectivity-matrix from a triangulation.
%
% Use as
% [connmat] = triangle2connectivity(tri)
% or
% [connmat] = triangle2connectivity(tri, pos)
%
% The input tri is an Mx3 matrix describing a triangulated surface,
% containing i... |
github | mccahill/docker-novnc-fmri-master | mesh_spherify.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/mesh_spherify.m | 4,971 | utf_8 | 4878df90f00d488a3ae0fb127d66e7fa | function [pnt, tri] = mesh_spherify(pnt, tri, varargin)
% Takes a cortical mesh and scales it so that it fits into a
% unit sphere.
%
% This function determines the points of the original mesh that support a
% convex hull and determines the radius of those points. Subsequently the
% radius of the support points is int... |
github | mccahill/docker-novnc-fmri-master | select_channel_list.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/select_channel_list.m | 5,990 | utf_8 | ddfcb4ab703ed513eeaff18fa37c10fa | 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 | mccahill/docker-novnc-fmri-master | artifact_viewer.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/artifact_viewer.m | 7,114 | utf_8 | f3424d3dc17b3337d8169b8449863f69 | function artifact_viewer(cfg, artcfg, zval, artval, zindx, inputdata)
% ARTIFACT_VIEWER is a subfunction that reads a segment of data
% (one channel only) and displays it together with the cumulated
% z-value
% Copyright (C) 2004-2006, Jan-Mathijs Schoffelen & Robert Oostenveld
%
% This file is part of FieldTrip, see... |
github | mccahill/docker-novnc-fmri-master | rejectvisual_summary.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/rejectvisual_summary.m | 22,319 | utf_8 | 8bd11ac3ad25f14051ca6efff75369d2 | function [chansel, trlsel, cfg] = rejectvisual_summary(cfg, data)
% SUBFUNCTION for ft_rejectvisual
% determine the initial selection of trials
ntrl = length(data.trial);
if isequal(cfg.trials, 'all') % support specification like 'all'
cfg.trials = 1:ntrl;
end
trlsel = false(1, ntrl);
trlsel(cfg.trials) = true;
% ... |
github | mccahill/docker-novnc-fmri-master | warning_once.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/warning_once.m | 7,284 | utf_8 | 379aec29f3bf6d609e71117b7068c5ab | function [ws warned] = warning_once(varargin)
%
% WARNING_ONCE 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
% warning_once(string)
% warning_once(id, string)
% Alternatively, you can use warning_once using a t... |
github | mccahill/docker-novnc-fmri-master | rejectvisual_channel.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/rejectvisual_channel.m | 9,660 | utf_8 | 64e84accf24c4c0d5e6d8d5dd55c5d92 | function [chansel, trlsel, cfg] = rejectvisual_channel(cfg, data)
% SUBFUNCTION for ft_rejectvisual
% determine the initial selection of trials
ntrl = length(data.trial);
if isequal(cfg.trials, 'all') % support specification like 'all'
cfg.trials = 1:ntrl;
end
trlsel = false(1,ntrl);
trlsel(cfg.trials) = true;
% d... |
github | mccahill/docker-novnc-fmri-master | triangulate_seg.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/triangulate_seg.m | 4,750 | utf_8 | a21b0a7c8a9b29b7b949e4ab08c11842 | function [pnt, tri] = triangulate_seg(seg, npnt, origin)
% TRIANGULATE_SEG constructs a triangulation of the outer surface of a
% segmented volume. It starts at the center of the volume and projects the
% vertices of an evenly triangulated sphere onto the outer surface. The
% resulting surface is star-shaped from the ... |
github | mccahill/docker-novnc-fmri-master | mesh2edge.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/mesh2edge.m | 3,406 | utf_8 | 843dd06aa1244bf172ca0adc4c320b73 | function [newbnd] = mesh2edge(bnd)
% MESH2EDGE finds the edge lines from a triangulated mesh or the edge surfaces
% from a tetrahedral or hexahedral mesh.
%
% Use as
% [bnd] = mesh2edge(bnd)
% Copyright (C) 2013, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for... |
github | mccahill/docker-novnc-fmri-master | browse_simpleFFT.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/browse_simpleFFT.m | 4,738 | utf_8 | 5d4fd8315e29bd80f1c621cafe3c16a5 | function browse_simpleFFT(cfg, data)
% BROWSE_SIMPLEFFT is a helper function for FT_DATABROWSER that shows a
% simple FFT of the data.
%
% Included are a button to switch between log and non-log space, and a
% selection button to deselect channels, for the purpose of zooming in on
% bad channels.
%
% See also BROWSE_M... |
github | mccahill/docker-novnc-fmri-master | prepare_mesh_manual.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/prepare_mesh_manual.m | 32,854 | utf_8 | a7f03ba7d235101ed5847b56a9108757 | function bnd = prepare_mesh_manual(cfg, mri)
% PREPARE_MESH_MANUAL is called by PREPARE_MESH and opens a GUI to manually
% select points/polygons in an mri dataset.
%
% It allows:
% Visualization of 3d data in 3 different projections
% Adjustment of brightness for every slice
% Storage of the data points in an e... |
github | mccahill/docker-novnc-fmri-master | moviefunction.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/moviefunction.m | 45,353 | utf_8 | fb2e15f235b9b52da72af0a0d335625f | function moviefunction(cfg, varargin)
% we need cfg.plotfun to plot the data
% data needs to be 3D, N x time x freq (last can be singleton)
% N needs to correspond to number of vertices (channels, gridpoints, etc)
% new UI artwork
%
% [main window] -------------------------------------\
% | [uipanel: plot] ... |
github | mccahill/docker-novnc-fmri-master | bsscca.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/bsscca.m | 7,428 | utf_8 | d64d6dd63efc92dff2aabe9e03c7dbb1 | function [w,rho] = bsscca(X, delay)
% BSSCCA computes the unmixing matrix based on the canonical correlation between a signal and its lagged-one copy. It implements the algorithm described in [1]
%
% DeClercq et al 2006, IEEE Biomed Eng 2583.
if nargin<2,
delay = 1;
end
% hmmmm we need to observe the epochs' bound... |
github | mccahill/docker-novnc-fmri-master | inside_contour.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/inside_contour.m | 1,105 | utf_8 | 6554af9f8bc2dc7512e8ca962a63688b | function bool = inside_contour(pos, contour)
npos = size(pos,1);
ncnt = size(contour,1);
x = pos(:,1);
y = pos(:,2);
minx = min(x);
miny = min(y);
maxx = max(x);
maxy = max(y);
bool = true(npos,1);
bool(x<minx) = false;
bool(y<miny) = false;
bool(x>maxx) = false;
bool(y>maxy) = false;
% the summed angle over the co... |
github | mccahill/docker-novnc-fmri-master | smudge.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/smudge.m | 1,949 | utf_8 | a793adc32ad1bfa0f193bd20c3ca7764 | function [datout, S] = smudge(datin, tri, niter, threshold)
% SMUDGE(DATIN, TRI) computes a smudged version of the input data datain,
% given a triangulation tri. The algorithm is according to what is in
% MNE-Suite, documented in chapter 8.3
if nargin<3 || isempty(niter),
niter = 1;
end
if nargin<4
threshold = ... |
github | mccahill/docker-novnc-fmri-master | getdimsiz.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/getdimsiz.m | 1,601 | utf_8 | bd44c3d3917f25521cd5c01d896ce113 | function dimsiz = getdimsiz(data, field)
% GETDIMSIZ
%
% Use as
% dimsiz = getdimsiz(data, field)
%
% See also GETDIMORD
if ~isfield(data, field) && isfield(data, 'avg') && isfield(data.avg, field)
field = ['avg.' field];
elseif ~isfield(data, field) && isfield(data, 'trial') && isfield(data.trial, field)
field... |
github | mccahill/docker-novnc-fmri-master | convert_event.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/convert_event.m | 7,841 | utf_8 | e54a2ce9399657ba01d486a361f9d234 | function [obj] = convert_event(obj, target, varargin)
% CONVERT_EVENT converts between the different representations of events,
% which can be
% 1) event structure, see FT_READ_EVENT
% 2) matrix representation as in trl (Nx3), see FT_DEFINETRIAL
% 3) matrix representation as in artifact (Nx2), see FT_ARTIFACT_x... |
github | mccahill/docker-novnc-fmri-master | project_elec.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/project_elec.m | 3,850 | utf_8 | e90024978485e89efceb8284115ce696 | 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 | mccahill/docker-novnc-fmri-master | fdr.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/fdr.m | 1,986 | utf_8 | c6f59bac3cf1335b9491293e8a71abe9 | function [h] = fdr(p, q)
% FDR false discovery rate
%
% Use as
% h = fdr(p, q)
%
% This implements
% Genovese CR, Lazar NA, Nichols T.
% Thresholding of statistical maps in functional neuroimaging using the false discovery rate.
% Neuroimage. 2002 Apr;15(4):870-8.
% Copyright (C) 2005, Robert Oostenveld
%
% T... |
github | mccahill/docker-novnc-fmri-master | prepare_mesh_hexahedral.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/prepare_mesh_hexahedral.m | 18,398 | utf_8 | 926c140178e869ddabcce212bacaa49e | function mesh=prepare_mesh_hexahedral(cfg,mri)
% PREPARE_MESH_HEXAHEDRAL
%
% See also PREPARE_MESH_SEGMENTATION, PREPARE_MESH_MANUAL, PREPARE_MESH_HEADSHAPE
%
% Configuration options for generating a regular 3-D grid
% cfg.tissue = cell with the names of the compartments that should be
% meshed
% cfg.resolution ... |
github | mccahill/docker-novnc-fmri-master | read_labview_dtlg.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/read_labview_dtlg.m | 5,153 | utf_8 | 3fb1fd6513ffc974b402a16c26f3905c | function [dat] = read_labview_dtlg(filename, datatype)
% READ_LABVIEW_DTLG
%
% Use as
% dat = read_labview_dtlg(filename, datatype)
% where datatype can be 'int32' or 'int16'
%
% The output of this function is a structure.
% Copyright (C) 2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru... |
github | mccahill/docker-novnc-fmri-master | sphericalSplineInterpolate.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/sphericalSplineInterpolate.m | 5,226 | utf_8 | 27ce6fd83adee8c3957c477f73dad771 | function [W,Gss,Gds,Hds]=sphericalSplineInterpolate(src,dest,lambda,order,type,tol)
%interpolate matrix for spherical interpolation
%
% W = sphericalSplineInterpolate(src,dest,lambda,order,type,tol)
%
% Inputs:
% src - [3 x N] old electrode positions
% dest - [3 x M] new electrode positions
% lambda - [float] r... |
github | mccahill/docker-novnc-fmri-master | ft_write_cifti.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/ft_write_cifti.m | 31,382 | utf_8 | 59bae254f9ddbd0026ce3b2f2fbc1909 | function ft_write_cifti(filename, source, varargin)
% FT_WRITE_CIFTI writes functional data or functional connectivity to a cifti-2
% file. The geometrical description of the brainordinates can consist of
% triangulated surfaces or voxels in a regular 3-D volumetric grid. The functional
% data can consist of a dense o... |
github | mccahill/docker-novnc-fmri-master | ft_chantype.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/ft_chantype.m | 25,538 | utf_8 | aa460ad4dafa90a3e18fc474c633877d | function type = ft_chantype(input, desired)
% FT_CHANTYPE determines for each individual channel what type of data it
% represents, e.g. a planar gradiometer, axial gradiometer, magnetometer,
% trigger channel, etc. If you want to know what the acquisition system is
% (e.g. ctf151 or neuromag306), you should not use t... |
github | mccahill/docker-novnc-fmri-master | ft_read_event.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/ft_read_event.m | 77,891 | utf_8 | 7045367f82670493c7da0302e24e89d2 | function [event] = ft_read_event(filename, varargin)
% FT_READ_EVENT reads all events from an EEG/MEG dataset and returns
% them in a well defined structure. It is a wrapper around different
% EEG/MEG file importers, directly supported formats are CTF, Neuromag,
% EEP, BrainVision, Neuroscan and Neuralynx.
%
% Use as
... |
github | mccahill/docker-novnc-fmri-master | ft_read_header.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/ft_read_header.m | 86,517 | utf_8 | ce2d3070507f1f2cb3f3efc474b8bc49 | function [hdr] = ft_read_header(filename, varargin)
% FT_READ_HEADER reads header information from a variety of EEG, MEG and LFP
% files and represents the header information in a common data-independent
% format. The supported formats are listed below.
%
% Use as
% hdr = ft_read_header(filename, ...)
%
% Additional... |
github | mccahill/docker-novnc-fmri-master | ft_read_mri.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/ft_read_mri.m | 15,468 | utf_8 | a921a393da75a56940c3100fde50e10a | function [mri] = ft_read_mri(filename, varargin)
% FT_READ_MRI reads anatomical and functional MRI data from different
% file formats. The output data is structured in such a way that it is
% comparable to a FieldTrip source reconstruction.
%
% Use as
% [mri] = ft_read_mri(filename)
%
% Additional options should be ... |
github | mccahill/docker-novnc-fmri-master | ft_filetype.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/ft_filetype.m | 63,157 | utf_8 | 99253abe6d86f298e9e92dc7dc18cc03 | function [type] = ft_filetype(filename, desired, varargin)
% FT_FILETYPE determines the filetype of many EEG/MEG/MRI data files by
% looking at the name, extension and optionally (part of) its contents.
% It tries to determine the global type of file (which usually
% corresponds to the manufacturer, the recording syst... |
github | mccahill/docker-novnc-fmri-master | getdimord.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/getdimord.m | 18,939 | utf_8 | 7602345b5b12d24e2e0612acc7731b4d | function dimord = getdimord(data, field, varargin)
% GETDIMORD
%
% Use as
% dimord = getdimord(data, field)
%
% See also GETDIMSIZ
if ~isfield(data, field) && isfield(data, 'avg') && isfield(data.avg, field)
field = ['avg.' field];
elseif ~isfield(data, field) && isfield(data, 'trial') && isfield(data.trial, fiel... |
github | mccahill/docker-novnc-fmri-master | read_mff_bin.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_mff_bin.m | 4,095 | utf_8 | 14e1df31f92faf2b6f02cfe4a32060c9 | function [output] = read_mff_bin(filename, begblock, endblock, chanindx)
% READ_MFF_BIN
%
% Use as
% [hdr] = read_mff_bin(filename)
% or
% [dat] = read_mff_bin(filename, begblock, endblock);
fid = fopen(filename,'r');
if fid == -1
error('wrong filename') % could not find signal(n)
end
needhdr = (nargin==1);
n... |
github | mccahill/docker-novnc-fmri-master | ft_datatype_sens.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/ft_datatype_sens.m | 20,793 | utf_8 | 1a5161e33bdd52cc9dc548f1382cb532 | 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 and "grad" for MEG, or more general "sens" for either
% one.
%
% The structure for MEG gradiometers and/or magn... |
github | mccahill/docker-novnc-fmri-master | avw_img_read.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/avw_img_read.m | 29,199 | utf_8 | be1e5b74cfdcf9acc49582896e9fadec | function [ avw, machine ] = avw_img_read(fileprefix,IMGorient,machine,verbose)
% avw_img_read - read Analyze format data image (*.img)
%
% [ avw, machine ] = avw_img_read(fileprefix,[orient],[machine],[verbose])
%
% fileprefix - a string, the filename without the .img extension
%
% orient - read a specified orienta... |
github | mccahill/docker-novnc-fmri-master | read_yokogawa_event.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_yokogawa_event.m | 7,112 | utf_8 | a70ad744018275d54a5de06fbcc9d1ff | function [event] = read_yokogawa_event(filename, varargin)
% READ_YOKOGAWA_EVENT reads event information from continuous,
% epoched or averaged MEG data that has been generated by the Yokogawa
% MEG system and software and allows those events to be used in
% combination with FieldTrip.
%
% Use as
% [event] = read_yo... |
github | mccahill/docker-novnc-fmri-master | read_4d_hdr.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_4d_hdr.m | 26,578 | utf_8 | 0c1de85be0ce9fbe0a604100894eb861 | function [header] = read_4d_hdr(datafile, configfile)
% hdr=READ_4D_HDR(datafile, configfile)
% Collects the required Fieldtrip header data from the data file 'filename'
% and the associated 'config' file for that data.
%
% Adapted from the MSI>>Matlab code written by Eugene Kronberg
% Copyright (C) 2008-2009, Centre... |
github | mccahill/docker-novnc-fmri-master | decode_nifti1.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/decode_nifti1.m | 3,043 | utf_8 | e74c0ee902019b3883dbaf1cb0ebda26 | function H = decode_nifti1(blob)
% DECODE_NIFTI1 is a helper function for real-time processing of MRI data
%
% Use as
% H = decode_nifti1(blob)
%
% Decodes a NIFTI-1 header given as raw 348 bytes (uint8) into a Matlab structure
% that matches the C struct defined in nifti1.h, with the only difference that the
% vari... |
github | mccahill/docker-novnc-fmri-master | read_edf.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_edf.m | 16,383 | utf_8 | 76f3f3461aa550382e8ebedfe44d6326 | function [dat] = read_edf(filename, hdr, begsample, endsample, chanindx)
% READ_EDF reads specified samples from an EDF continous datafile
% It neglects all trial boundaries as if the data was acquired in
% non-continous mode.
%
% Use as
% [hdr] = read_edf(filename);
% where
% filename name of the datafile... |
github | mccahill/docker-novnc-fmri-master | yokogawa2grad.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/yokogawa2grad.m | 7,205 | utf_8 | c61a324e8fd20060380618a1f0760a72 | function grad = yokogawa2grad(hdr)
% YOKOGAWA2GRAD converts the position and weights of all coils that
% compromise a gradiometer system into a structure that can be used
% by FieldTrip. This implementation uses the old "yokogawa" toolbox.
%
% See also CTF2GRAD, BTI2GRAD, FIF2GRAD, MNE2GRAD, ITAB2GRAD,
% FT_READ_SENS,... |
github | mccahill/docker-novnc-fmri-master | read_erplabheader.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_erplabheader.m | 2,048 | utf_8 | c72fab70eaf79706e1f1f452bc50692a | % read_erplabheader() - import ERPLAB dataset files
%
% Usage:
% >> header = read_erplabheader(filename);
%
% Inputs:
% filename - [string] file name
%
% Outputs:
% header - FILEIO toolbox type structure
%
% Modified from read_eeglabheader
%1234567890123456789012345678901234567890123456789012345678901234567890... |
github | mccahill/docker-novnc-fmri-master | write_plexon_nex.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/write_plexon_nex.m | 9,546 | utf_8 | c3e00b18b8d0d194f3b0231301f3945f | function write_plexon_nex(filename, nex)
% WRITE_PLEXON_NEX writes 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).
%
% Use as
% write_plexon_nex(filenam... |
github | mccahill/docker-novnc-fmri-master | ft_convert_units.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/ft_convert_units.m | 9,048 | utf_8 | b0b47d21a2d75a5138e1d3499af2bf96 | 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 | mccahill/docker-novnc-fmri-master | ft_datatype.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/ft_datatype.m | 9,109 | utf_8 | b62515e73af0c263765a637a29fe1e29 | function [type, dimord] = ft_datatype(data, desired)
% FT_DATATYPE determines the type of data represented in a FieldTrip data
% structure and returns a string with raw, freq, timelock source, comp,
% spike, source, volume, dip.
%
% Use as
% [type, dimord] = ft_datatype(data)
% [status] = ft_datatype(data, d... |
github | mccahill/docker-novnc-fmri-master | ft_apply_montage.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/ft_apply_montage.m | 19,718 | utf_8 | 82280137ae6d7db9e4e24fa895096d47 | 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 inputor array. The ... |
github | mccahill/docker-novnc-fmri-master | read_erplabdata.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_erplabdata.m | 2,110 | utf_8 | 60380c3ce12bbfd85b4dd554bdc0ae20 | % read_erplabdata() - import ERPLAB dataset files
%
% Usage:
% >> dat = read_erplabdata(filename);
%
% Inputs:
% filename - [string] file name
%
% Optional inputs:
% 'begtrial' - [integer] first trial to read
% 'endtrial' - [integer] last trial to read
% 'chanindx' - [integer] list with channel indices to ... |
github | mccahill/docker-novnc-fmri-master | in_fopen_manscan.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/in_fopen_manscan.m | 11,806 | utf_8 | caf4a8d115834da29621c65451b195b2 | function sFile = in_fopen_manscan(DataFile)
% IN_FOPEN_MANSCAN: Open a MANSCAN file (continuous recordings)
%
% USAGE: sFile = in_fopen_manscan(DataFile)
% @=============================================================================
% This software is part of the Brainstorm software:
% http://neuroimage.usc.edu/bra... |
github | mccahill/docker-novnc-fmri-master | read_biosemi_bdf.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_biosemi_bdf.m | 10,872 | utf_8 | 51356ef9877faea1b6799cde11807eff | function dat = read_biosemi_bdf(filename, hdr, begsample, endsample, chanindx);
% READ_BIOSEMI_BDF reads specified samples from a BDF continous datafile
% It neglects all trial boundaries as if the data was acquired in
% non-continous mode.
%
% Use as
% [hdr] = read_biosemi_bdf(filename);
% where
% filename ... |
github | mccahill/docker-novnc-fmri-master | read_ctf_ascii.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_ctf_ascii.m | 3,218 | utf_8 | ed3ebfd532e8ac61a7237dede21d739b | function [file] = read_ctf_ascii(filename);
% READ_CTF_ASCII reads general data from an CTF configuration file
%
% The file should be formatted like
% Group
% {
% item1 : value1a value1b value1c
% item2 : value2a value2b value2c
% item3 : value3a value3b value3c
% item4 : value4a value4b v... |
github | mccahill/docker-novnc-fmri-master | read_mpi_dap.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_mpi_dap.m | 7,085 | utf_8 | a51b5774d3dc46b048015b2b12e95e76 | function [dap] = read_mpi_dap(filename)
% READ_MPI_DAP read the analog channels from a DAP file
% and returns the values in microvolt (uV)
%
% Use as
% [dap] = read_mpi_dap(filename)
% Copyright (C) 2005-2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for th... |
github | mccahill/docker-novnc-fmri-master | read_neuralynx_bin.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_neuralynx_bin.m | 6,705 | utf_8 | 1851b52bfcf664aadb50e417bd3ab74b | function [dat] = read_neuralynx_bin(filename, begsample, endsample);
% READ_NEURALYNX_BIN
%
% Use as
% hdr = read_neuralynx_bin(filename)
% or
% dat = read_neuralynx_bin(filename, begsample, endsample)
%
% This is not a formal Neuralynx file format, but at the
% F.C. Donders Centre we use it in conjunction with N... |
github | mccahill/docker-novnc-fmri-master | inifile.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/inifile.m | 23,578 | utf_8 | f647125ffa71c22e44a119c27e73d460 | function readsett = inifile(fileName,operation,keys,style)
%readsett = INIFILE(fileName,operation,keys,style)
% Creates, reads, or writes data from/to ini (ascii) file.
%
% - fileName: ini file name
% - operation: can be one of the following:
% 'new' (rewrites an existing or creates... |
github | mccahill/docker-novnc-fmri-master | yokogawa2grad_new.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/yokogawa2grad_new.m | 9,123 | utf_8 | a05c043b59134bedb201bba241ad57ef | function grad = yokogawa2grad_new(hdr)
% YOKOGAWA2GRAD_NEW converts the position and weights of all coils that
% compromise a gradiometer system into a structure that can be used
% by FieldTrip. This implementation uses the new "yokogawa_meg_reader"
% toolbox.
%
% See also FT_READ_HEADER, CTF2GRAD, BTI2GRAD, FIF2GRAD... |
github | mccahill/docker-novnc-fmri-master | read_besa_avr.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_besa_avr.m | 3,929 | utf_8 | 91f2ee59d1af564811511e0e7f201ba4 | function [avr] = read_besa_avr(filename)
% READ_BESA_AVR reads average EEG data in BESA format
%
% Use as
% [avr] = read_besa_avr(filename)
%
% This will return a structure with the header information in
% avr.npnt
% avr.tsb
% avr.di
% avr.sb
% avr.sc
% avr.Nchan (optional)
% avr.label (optional)
%... |
github | mccahill/docker-novnc-fmri-master | ft_datatype_source.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/ft_datatype_source.m | 11,599 | utf_8 | 860bbf1db76786f373d55c7cd4a64746 | function source = ft_datatype_source(source, varargin)
% FT_DATATYPE_SOURCE describes the FieldTrip MATLAB structure for data that is
% represented at the source level. This is typically obtained with a beamformer of
% minimum-norm source reconstruction using FT_SOURCEANALYSIS.
%
% An example of a source structure obt... |
github | mccahill/docker-novnc-fmri-master | xml2struct.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/xml2struct.m | 8,612 | utf_8 | 3d883353ccb551f2dcd554835610a565 | function [ s ] = xml2struct( file )
%Convert xml file into a MATLAB structure
% [ s ] = xml2struct( file )
%
% A file containing:
% <XMLname attrib1="Some value">
% <Element>Some text</Element>
% <DifferentElement attrib2="2">Some more text</DifferentElement>
% <DifferentElement attrib3="2" attrib4="1">Even more ... |
github | mccahill/docker-novnc-fmri-master | in_fread_manscan.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/in_fread_manscan.m | 4,760 | utf_8 | 474793281d7e666aeb2bff303bd62b5b | function F = in_fread_manscan(sFile, sfid, iEpoch, SamplesBounds)
% IN_FREAD_MANSCAN: Read a block of recordings from a MANSCAN file
%
% USAGE: F = in_fread_manscan(sFile, sfid, iEpoch, SamplesBounds) : Read all channels
% F = in_fread_manscan(sFile, sfid) : Read all channels, all the... |
github | mccahill/docker-novnc-fmri-master | read_ply.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_ply.m | 5,986 | utf_8 | e7e4d22b778a98c951a9972c41d4dea3 | function [vert, face] = read_ply(fn)
% READ_PLY reads triangles, tetraheders or hexaheders from a Stanford *.ply file
%
% Use as
% [vert, face, prop, face_prop] = read_ply(filename)
%
% Documentation is provided on
% http://paulbourke.net/dataformats/ply/
% http://en.wikipedia.org/wiki/PLY_(file_format)
%
% See ... |
github | mccahill/docker-novnc-fmri-master | read_eeglabdata.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_eeglabdata.m | 3,193 | utf_8 | 33c4ab48f49c3929347fee8295589fbc | % read_eeglabdata() - import EEGLAB dataset files
%
% Usage:
% >> dat = read_eeglabdata(filename);
%
% Inputs:
% filename - [string] file name
%
% Optional inputs:
% 'begtrial' - [integer] first trial to read
% 'endtrial' - [integer] last trial to read
% 'chanindx' - [integer] list with channel indices to ... |
github | mccahill/docker-novnc-fmri-master | readbdf.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/readbdf.m | 3,632 | utf_8 | 9c94d90dc0c8728b0b46e5276747e847 | % readbdf() - Loads selected Records of an EDF or BDF File (European Data Format
% for Biosignals) into MATLAB
% Usage:
% >> [DAT,signal] = readedf(EDF_Struct,Records,Mode);
% Notes:
% Records - List of Records for Loading
% Mode - 0 Default
% 1 ... |
github | mccahill/docker-novnc-fmri-master | warning_once.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/warning_once.m | 7,284 | utf_8 | ea3a917360f20c39c7ff823b1c1c5028 | function [ws warned] = warning_once(varargin)
%
% WARNING_ONCE 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
% warning_once(string)
% warning_once(id, string)
% Alternatively, you can use warning_once using a t... |
github | mccahill/docker-novnc-fmri-master | ft_hastoolbox.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/ft_hastoolbox.m | 25,228 | utf_8 | 0972697d520199424e9b41666dc33c04 | 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 | mccahill/docker-novnc-fmri-master | read_yokogawa_data_new.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_yokogawa_data_new.m | 5,691 | utf_8 | 0f379a92d07b29f6a231c357f4f02920 | 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 | mccahill/docker-novnc-fmri-master | read_plexon_nex.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_plexon_nex.m | 7,637 | utf_8 | fa08ec3a9e740a63be5c6ee72ef0d1a0 | 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 | mccahill/docker-novnc-fmri-master | read_bti_m4d.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_bti_m4d.m | 5,838 | utf_8 | 123c765eeecec5359bfdfc0af7c65fc0 | 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.ru.nl/neuroimaging/fieldtrip
% for the documentation and details.
%
% FieldTrip is free software: you can redistribute it and... |
github | mccahill/docker-novnc-fmri-master | read_asa.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_asa.m | 3,857 | utf_8 | bd6525da96c296723f6a29b027b2445e | 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 | mccahill/docker-novnc-fmri-master | ft_checkdata.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/ft_checkdata.m | 77,667 | utf_8 | 3d2374e0adcf68d9d4265a260246aa14 | 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 | mccahill/docker-novnc-fmri-master | read_yokogawa_data.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_yokogawa_data.m | 11,038 | utf_8 | aa2c8a06c417ada7e9af353f2307443e | 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 | mccahill/docker-novnc-fmri-master | decode_fif.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/decode_fif.m | 6,033 | utf_8 | 4edf09a0624e103cb761080e759c75ae | 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 | mccahill/docker-novnc-fmri-master | read_biff.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_biff.m | 5,857 | utf_8 | d71281c0e6be7868430597d71c166b5d | 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 | mccahill/docker-novnc-fmri-master | read_eeglabheader.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_eeglabheader.m | 2,255 | utf_8 | fe4446f32b250441d57acff9ebe691a2 | % 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 | mccahill/docker-novnc-fmri-master | read_ctf_svl.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/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 | mccahill/docker-novnc-fmri-master | read_erplabevent.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/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 | mccahill/docker-novnc-fmri-master | read_yokogawa_header_new.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_yokogawa_header_new.m | 8,959 | utf_8 | 654f373c60405e9a27c40d65ab0147dd | 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_yokoga... |
github | mccahill/docker-novnc-fmri-master | ft_datatype_raw.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/ft_datatype_raw.m | 11,132 | utf_8 | 6f5e4610cdefe2c072fef76e5b6d6a3f | 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 represented ... |
github | mccahill/docker-novnc-fmri-master | getdimsiz.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/getdimsiz.m | 1,601 | utf_8 | bd44c3d3917f25521cd5c01d896ce113 | function dimsiz = getdimsiz(data, field)
% GETDIMSIZ
%
% Use as
% dimsiz = getdimsiz(data, field)
%
% See also GETDIMORD
if ~isfield(data, field) && isfield(data, 'avg') && isfield(data.avg, field)
field = ['avg.' field];
elseif ~isfield(data, field) && isfield(data, 'trial') && isfield(data.trial, field)
field... |
github | mccahill/docker-novnc-fmri-master | read_yokogawa_header.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_yokogawa_header.m | 8,340 | utf_8 | c1392a52ad7bb86127e7a704c5abce9d | 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 | mccahill/docker-novnc-fmri-master | encode_nifti1.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/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 | mccahill/docker-novnc-fmri-master | avw_hdr_read.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/avw_hdr_read.m | 16,668 | utf_8 | 7cb599cd5b75177fed96189188822304 | 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 | mccahill/docker-novnc-fmri-master | read_stl.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_stl.m | 4,072 | utf_8 | f8ab163555c079a78445be6bc53cac39 | 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/w... |
github | mccahill/docker-novnc-fmri-master | read_itab_mhd.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/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 | mccahill/docker-novnc-fmri-master | read_plexon_plx.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_plexon_plx.m | 20,344 | utf_8 | dd04c6311c617f6001b0b3938dac087a | 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 | mccahill/docker-novnc-fmri-master | read_neurosim_evolution.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_neurosim_evolution.m | 4,562 | utf_8 | e362fcc35f185715fe33ab48d889a0d9 | 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 | mccahill/docker-novnc-fmri-master | read_eeglabevent.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_eeglabevent.m | 3,698 | utf_8 | 6acdf266f18a8591ec4ac4582b3ef28c | % 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 | mccahill/docker-novnc-fmri-master | read_bti_ascii.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fileio/private/read_bti_ascii.m | 2,300 | utf_8 | 9144223206dfa96caa46025367ac07c8 | 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 | mccahill/docker-novnc-fmri-master | openbdf.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/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 | mccahill/docker-novnc-fmri-master | ft_trialfun_general.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/trialfun/ft_trialfun_general.m | 13,829 | utf_8 | 20be7f340125b8d92704f643a3edd96b | 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 | mccahill/docker-novnc-fmri-master | ft_trialfun_realtime.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/trialfun/ft_trialfun_realtime.m | 4,486 | utf_8 | 37d126f2b9b1ac61cef0b54453c1af92 | 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 | mccahill/docker-novnc-fmri-master | select_channel_list.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/trialfun/private/select_channel_list.m | 5,990 | utf_8 | 7fb6c10af08a3b0a2c4886dc331feba6 | 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 | mccahill/docker-novnc-fmri-master | ft_headmodel_fns.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/forward/ft_headmodel_fns.m | 5,724 | utf_8 | c4cafb53ffc68d2418b94b635d71bffa | function vol = ft_headmodel_fns(seg, varargin)
% FT_HEADMODEL_FNS creates the volume conduction structure to be used
% in the FNS forward solver.
%
% Use as
% vol = ft_headmodel_fns(seg, ...)
%
% Optional input arguments should be specified in key-value pairs and
% can include
% tissuecond = matrix C [9XN ti... |
github | mccahill/docker-novnc-fmri-master | ft_convert_units.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/forward/ft_convert_units.m | 9,048 | utf_8 | 7cf13fa53ef0a4bb1dd4c49b4b359e3e | 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... |
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