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 | writeCPersist.m | .m | docker-novnc-fmri-master/mri/spm12/external/ctf/writeCPersist.m | 5,086 | utf_8 | 0c56dc571aa56100f050678e5fe815ff | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%% Function writeCPersist %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function writeCPersist(filename,Tag)
% Version 1.2 24 April 2007. Removed terminating null characters from charatcer strings
% ... |
github | mccahill/docker-novnc-fmri-master | getCTFBalanceCoefs.m | .m | docker-novnc-fmri-master/mri/spm12/external/ctf/getCTFBalanceCoefs.m | 20,490 | utf_8 | 2c434fcbdb53fbc50ee3fbda72e98883 | function [alphaMEG,MEGindex,MEGbalanceindex,alphaGref,Grefindex,Gbalanceindex]=...
getCTFBalanceCoefs(ds,balanceType,unit);
% Reads balance coefficients for SQUID data in phi0's, and converts to coefficients
% for data in physical units.
% Input : ds : (1) ds structure from readCTFds
% balanceType : 'N... |
github | mccahill/docker-novnc-fmri-master | writeCTFds.m | .m | docker-novnc-fmri-master/mri/spm12/external/ctf/writeCTFds.m | 68,946 | utf_8 | 96615f4833d69490d5b3e47f6f86c538 | function ds=writeCTFds(datasetname,ds,data,unit);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% This program creates datasets that can be analyzed by CTF software. %
% ... |
github | mccahill/docker-novnc-fmri-master | writeRes4.m | .m | docker-novnc-fmri-master/mri/spm12/external/ctf/writeRes4.m | 8,560 | utf_8 | 416bc2b62624835c63140e54415d2f49 | function res4=writeRes4(res4File,res4,MAX_COILS);
% Write the new .res4 file. Use ieee-be (big endian) format
% Character-string output is done using function writeCTFstring which
% checks that strings are the correct length for the .res4 file format.
% Function calls: - writeCTFstring (included in this listing).... |
github | mccahill/docker-novnc-fmri-master | addCTFtrial.m | .m | docker-novnc-fmri-master/mri/spm12/external/ctf/addCTFtrial.m | 51,483 | utf_8 | b59730fdb231f07741e7e87dea9e6c1c | function cntrl=addCTFtrial(datasetname,data,unit,mrk,cls,badSegments);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% This program creates datasets that can be analyzed by CTF software. %... |
github | mccahill/docker-novnc-fmri-master | setCTFDataBalance.m | .m | docker-novnc-fmri-master/mri/spm12/external/ctf/setCTFDataBalance.m | 32,056 | utf_8 | 894c3744554abe635876ce6944dca0cd | function [data,ds]=setCTFDataBalance(data,ds,balance1,unit,chanList,messages);
% Version 1.1 13 April 2007 Mod to chanList: If chanList is omitted and
% size(data,2)<ds.res4.no_channels, then setCTFDataBalance
% sets chanList=1:size(data,2) and prints a war... |
github | mccahill/docker-novnc-fmri-master | writeCTFMRI.m | .m | docker-novnc-fmri-master/mri/spm12/external/ctf/writeCTFMRI.m | 8,517 | utf_8 | c6bdbc15d67e3621b8109f6b399f5eae | function writeCTFMRI(fileName,MRItags,MRIdata);
% Version 1.2 25 April 2007 Module writeCPersist changed, and removed from this text
% file.
% Version 1.1 19 April 2007 : No changes from v1.0
% Version 1.0 27 Oct. 2006
% Write a CTF MRI in v4 format.
% For file format and a def... |
github | mccahill/docker-novnc-fmri-master | readCTFds.m | .m | docker-novnc-fmri-master/mri/spm12/external/ctf/readCTFds.m | 36,570 | utf_8 | e228d972ce0710af61be4d1d0c89f3fe | function ds=readCTFds(datasetname)
% ************************************************************************
%
% This program is provided to users of CTF MEG systems as a courtesy only.
% It's operation has not been verified for clinical use.
% Please do not redistribute it without permission from CTF Systems I... |
github | mccahill/docker-novnc-fmri-master | ft_channelselection.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_channelselection.m | 21,873 | utf_8 | 4967cbdfb8cd8b067e58f6fb58ad93ef | function [channel] = ft_channelselection(desired, datachannel, senstype)
% FT_CHANNELSELECTION makes a selection of EEG and/or MEG channel labels.
% This function translates the user-specified list of channels into channel
% labels as they occur in the data. This channel selection procedure can be
% used throughout Fi... |
github | mccahill/docker-novnc-fmri-master | ft_prepare_layout.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_prepare_layout.m | 39,439 | utf_8 | c9348eb5befb3751181e7e2d1d103edb | function [layout, cfg] = ft_prepare_layout(cfg, data)
% FT_PREPARE_LAYOUT loads or creates a 2-D layout of the channel locations. This layout
% is required for plotting the topographical distribution of the potential
% or field distribution, or for plotting timecourses in a topographical
% arrangement.
%
% Use as
% ... |
github | mccahill/docker-novnc-fmri-master | ft_analysispipeline.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_analysispipeline.m | 25,702 | utf_8 | 90e97206d75af0812634cedace7190c0 | function [pipeline] = ft_analysispipeline(cfg, data)
% FT_ANALYSIPIPELINE reconstructs the complete analysis pipeline that was used to create
% the input FieldTrip data structure. The pipeline will be visualized as a flowchart.
% In the future it will be possible to output the complete pipeline as a MATLAB script
% or... |
github | mccahill/docker-novnc-fmri-master | ft_freqbaseline.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_freqbaseline.m | 6,744 | utf_8 | b61597cca2220d4ee6639ea4ad856fa3 | function [freq] = ft_freqbaseline(cfg, freq)
% FT_FREQBASELINE performs baseline normalization for time-frequency data
%
% Use as
% [freq] = ft_freqbaseline(cfg, freq)
% where the freq data comes from FT_FREQANALYSIS and the configuration
% should contain
% cfg.baseline = [begin end] (default = 'no')
% cfg.... |
github | mccahill/docker-novnc-fmri-master | ft_sourceinterpolate.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_sourceinterpolate.m | 20,545 | utf_8 | e15ac359ea0f896c653f9d2cbeaf3a87 | function [interp] = ft_sourceinterpolate(cfg, functional, anatomical)
% FT_SOURCEINTERPOLATE interpolates the source reconstructed activity
% or a statistical distribution onto the voxels or vertices of an
% anatomical description of the brain. Both the functional and the
% anatomical data can either describe a 3-dim... |
github | mccahill/docker-novnc-fmri-master | ft_megplanar.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_megplanar.m | 15,936 | utf_8 | 8df5e9ea87746f09aea207ae7e84e111 | function [data] = ft_megplanar(cfg, data)
% FT_MEGPLANAR computes planar MEG gradients gradients for raw data or average
% event-related field data. It can also convert frequency-domain data that was computed
% using FT_FREQANALYSIS, as long as it contains the complex-valued fourierspcrm and not
% only the powspctrm.
... |
github | mccahill/docker-novnc-fmri-master | ft_movieplotTFR.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_movieplotTFR.m | 16,930 | utf_8 | 8cd90fbb40f19533caada8a7715f4771 | function [cfg] = ft_movieplotTFR(cfg, data)
% FT_MOVIEPLOTTFR makes a movie of the time-frequency representation of power or
% coherence.
%
% Use as
% ft_movieplotTFR(cfg, data)
% where the input data comes from FT_FREQANALYSIS or FT_FREQDESCRIPTIVES and the
% configuration is a structure that can contain
% cfg.pa... |
github | mccahill/docker-novnc-fmri-master | ft_volumerealign.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_volumerealign.m | 56,732 | utf_8 | 1acde14131687a72b6df56f039504914 | function [realign, snap] = ft_volumerealign(cfg, mri, target)
% FT_VOLUMEREALIGN spatially aligns an anatomical MRI with head coordinates based on
% external fiducials or anatomical landmarks. This function does not change the
% anatomical MRI volume itself, but only adjusts the homogeneous transformation
% matrix tha... |
github | mccahill/docker-novnc-fmri-master | ft_qualitycheck.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_qualitycheck.m | 25,628 | utf_8 | 64487e2140d0257cf0b82ddbe9b9fa82 | function [varargout] = ft_qualitycheck(cfg)
% FT_QUALITYCHECK performs a quality inspection of a given MEG/EEG dataset,
% stores (.mat), and visualizes the result (.png and .pdf).
%
% This function segments the data into 10-second pieces and performs the
% following analyses:
% 1) reads the properties of the dataset
... |
github | mccahill/docker-novnc-fmri-master | ft_denoise_pca.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_denoise_pca.m | 16,753 | utf_8 | bf919dc122c06e1971961c05fd6d2d11 | function data = ft_denoise_pca(cfg, varargin)
% FT_DENOISE_PCA performs a principal component analysis (PCA) on specified
% reference channels and subtracts the projection of the data of interest onto
% this orthogonal basis from the data of interest. This is the algorithm which
% is applied by 4D to compute noise can... |
github | mccahill/docker-novnc-fmri-master | ft_sensorrealign.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_sensorrealign.m | 35,350 | utf_8 | a8ffc1be601bb62b41e01a190c1c027f | function [elec_realigned] = ft_sensorrealign(cfg, elec_original)
% FT_SENSORREALIGN rotates and translates electrode and gradiometer
% sensor positions to template electrode positions or towards the head
% surface. It can either perform a rigid body transformation, in which only
% the coordinate system is changed, or ... |
github | mccahill/docker-novnc-fmri-master | ft_databrowser.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_databrowser.m | 82,660 | utf_8 | 2aa3b1bb03ecab7c820607ff8155ac86 | function [cfg] = ft_databrowser(cfg, data)
% FT_DATABROWSER can be used for visual inspection of data. Artifacts that
% were detected by artifact functions (see FT_ARTIFACT_xxx functions where
% xxx is the type of artifact) are marked. Additionally data pieces can be
% marked and unmarked as artifact by manual selecti... |
github | mccahill/docker-novnc-fmri-master | ft_singleplotER.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_singleplotER.m | 30,067 | utf_8 | c36d152569207982a9941940192ea281 | function [cfg] = ft_singleplotER(cfg, varargin)
% FT_SINGLEPLOTER plots the event-related fields or potentials of a single
% channel or the average over multiple channels. Multiple datasets can be
% overlayed.
%
% Use as
% ft_singleplotER(cfg, data)
% or
% ft_singleplotER(cfg, data1, data2, ..., datan)
%
% The dat... |
github | mccahill/docker-novnc-fmri-master | ft_mvaranalysis.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_mvaranalysis.m | 18,040 | utf_8 | db10dcf8e0a7c7c96c4a674ec8f54e68 | function [mvardata] = ft_mvaranalysis(cfg, data)
% FT_MVARANALYSIS performs multivariate autoregressive modeling on
% time series data over multiple trials.
%
% Use as
% [mvardata] = ft_mvaranalysis(cfg, data)
%
% The input data should be organised in a structure as obtained from
% the FT_PREPROCESSING function. The... |
github | mccahill/docker-novnc-fmri-master | ft_anonimizedata.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_anonimizedata.m | 13,803 | utf_8 | 013bce00cc2ce06e9db304b5ecd69263 | function data = ft_anonimizedata(cfg, data)
% FT_ANONIMIZEDATA clears the value of potentially identifying fields in
% the data and in the provenance information, i.e., it updates the data and
% the configuration structure and history that is maintained by FieldTrip
% in the cfg field.
%
% Use as
% output = ft_anoni... |
github | mccahill/docker-novnc-fmri-master | ft_sourceplot.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_sourceplot.m | 64,250 | utf_8 | 7c1978c50205a99e686ddd2a18109d54 | function ft_sourceplot(cfg, functional, anatomical)
% FT_SOURCEPLOT plots functional source reconstruction data on slices or on
% a surface, optionally as an overlay on anatomical MRI data, where
% statistical data can be used to determine the opacity of the mask. Input
% data comes from FT_SOURCEANALYSIS, FT_SOURCEGR... |
github | mccahill/docker-novnc-fmri-master | ft_megrealign.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_megrealign.m | 18,557 | utf_8 | b064c785e8de744adc030a923f9ab312 | function [data] = ft_megrealign(cfg, data)
% FT_MEGREALIGN interpolates MEG data towards standard gradiometer locations by
% projecting the individual timelocked data towards a coarse source reconstructed
% representation and computing the magnetic field on the standard gradiometer
% locations.
%
% Use as
% [interp]... |
github | mccahill/docker-novnc-fmri-master | ft_volumelookup.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_volumelookup.m | 14,609 | utf_8 | 3978b5e4bd530552fa8130e1822a655c | function [output] = ft_volumelookup(cfg, volume)
% FT_VOLUMELOOKUP can be used in to combine an anatomical or functional
% atlas with source reconstruction. You can use it for forward and reverse
% lookup.
%
% Given the anatomical or functional label, it looks up the locations and
% creates a mask (as a binary volume)... |
github | mccahill/docker-novnc-fmri-master | ft_multiplotTFR.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_multiplotTFR.m | 30,989 | utf_8 | a005ad59bc915c09dcc68f406cf10e51 | function [cfg] = ft_multiplotTFR(cfg, data)
% FT_MULTIPLOTTFR plots the time-frequency representations of power or coherence
% in a topographical layout. The plots of the indivual sensors are arranged
% according to their location specified in the layout.
%
% Use as
% ft_multiplotTFR(cfg, data)
%
% The data can be a... |
github | mccahill/docker-novnc-fmri-master | ft_defaults.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_defaults.m | 10,103 | utf_8 | bc8de5e0834af692d3f31a2279c7b581 | function ft_defaults
% FT_DEFAULTS (ending with "s") sets some general settings in the global variable
% ft_default (without the "s") and takes care of the required path settings. This
% function is called at the begin of all FieldTrip functions.
%
% The configuration defaults are stored in the global "ft_default" str... |
github | mccahill/docker-novnc-fmri-master | ft_prepare_neighbours.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_prepare_neighbours.m | 13,126 | utf_8 | b603e9b8719c17a6e8fa573519cc7715 | function [neighbours, cfg] = ft_prepare_neighbours(cfg, data)
% FT_PREPARE_NEIGHBOURS finds the neighbours of the channels based on three
% different methods. Using the 'distance'-method, prepare_neighbours is
% based on a minimum neighbourhood distance (in cfg.neighbourdist). The
% 'triangulation'-method calculates a... |
github | mccahill/docker-novnc-fmri-master | ft_crossfrequencyanalysis.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_crossfrequencyanalysis.m | 9,225 | utf_8 | e269f9a53bf232e135d9484098b46b10 | function crossfreq = ft_crossfrequencyanalysis(cfg,freqlow,freqhigh)
% FT_CROSSFREQUENCYANALYSIS performs cross-frequency analysis using various
% algorithms
%
% Use as
% crossfreq = ft_crossfrequencyanalysis(cfg, freqlo, freqhi)
% where freq is frequency decomposed data structure as obtained from FT_FREQANALYSIS
% ... |
github | mccahill/docker-novnc-fmri-master | ft_conjunctionanalysis.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_conjunctionanalysis.m | 9,030 | utf_8 | 48fc3a8cea071fb1a125b726f553921c | function [conjunction] = ft_conjunctionanalysis(cfg, varargin)
% FT_CONJUNCTIONANALYSIS finds the minimum statistic common across two or
% more contrasts, i.e. data following ft_xxxstatistics. Furthermore, it
% finds the overlap of sensors/voxels that show statistically significant
% results (a logical AND on the m... |
github | mccahill/docker-novnc-fmri-master | ft_sliceinterp.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_sliceinterp.m | 18,527 | utf_8 | e2b483684629c1cb5f0d881137af02fb | function [outim]=ft_sliceinterp(cfg, ininterp)
% FT_SLICEINTERP plots a 2D-montage of source reconstruction and anatomical MRI
% after these have been interpolated onto the same grid.
%
% Use as
% ft_sliceinterp(cfg, interp)
% or
% [rgbimage] = ft_sliceinterp(cfg, interp), rgbimage is the monatage image
%
% w... |
github | mccahill/docker-novnc-fmri-master | ft_clusterplot.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_clusterplot.m | 18,651 | utf_8 | 8694baba6f6d00dd8da193cb810ac798 | function [cfg] = ft_clusterplot(cfg, stat)
% FT_CLUSTERPLOT plots a series of topographies with highlighted clusters.
%
% Use as
% ft_clusterplot(cfg, stat)
% where the input data is obtained from FT_TIMELOCKSTATISTICS or FT_FREQSTATISTICS
% and the configuration options can be
% cfg.alpha = nu... |
github | mccahill/docker-novnc-fmri-master | ft_sourcemovie.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_sourcemovie.m | 25,873 | utf_8 | 5572bb3e175c8a472147f59ddee22a67 | function [cfg, M] = ft_sourcemovie(cfg, source, source2)
% FT_SOURCEMOVIE displays the source reconstruction on a cortical mesh
% and allows the user to scroll through time with a movie
%
% Use as
% ft_sourcemovie(cfg, source)
% where the input source data is obtained from FT_SOURCEANALYSIS and cfg is
% a configurat... |
github | mccahill/docker-novnc-fmri-master | ft_sourcedescriptives.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_sourcedescriptives.m | 49,952 | utf_8 | a13eecf3990f02f0c9e1d4fd20e1ac18 | function [source] = ft_sourcedescriptives(cfg, source)
% FT_SOURCEDESCRIPTIVES computes descriptive parameters of the source
% analysis results.
%
% Use as
% [source] = ft_sourcedescriptives(cfg, source)
%
% where cfg is a structure with the configuration details and source is the
% result from a beamformer source e... |
github | mccahill/docker-novnc-fmri-master | ft_defacevolume.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_defacevolume.m | 13,091 | utf_8 | 438c476480150ed61f1b18310c08b3fb | function mri = ft_defacevolume(cfg, mri)
% FT_DEFACEVOLUME allows you to blank out specific regions from an anatomical MRI,
% such as the face and ears. The graphical user interface allows you to position a
% box over the anatomical MRI inside which all anatomical voxel values will be
% replaced by zero. Depending on ... |
github | mccahill/docker-novnc-fmri-master | ft_freqanalysis_mvar.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_freqanalysis_mvar.m | 7,639 | utf_8 | 7ae783b5fc8a0f43dcac208cd9196141 | function [freq] = ft_freqanalysis_mvar(cfg, data)
% FT_FREQANALYSIS_MVAR performs frequency analysis on
% mvar data, by fourier transformation of the coefficients. The output
% contains cross-spectral density, spectral transfer matrix, and the
% covariance of the innovation noise. The dimord = 'chan_chan(_freq)(_time)... |
github | mccahill/docker-novnc-fmri-master | ft_math.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_math.m | 18,733 | utf_8 | bd7f745e6190facbb0ad43e3c27fc873 | function data = ft_math(cfg, varargin)
% FT_MATH performs mathematical operations on FieldTrip data structures,
% such as addition, subtraction, division, etc.
%
% Use as
% data = ft_math(cfg, data1, data2, ...)
% with one or multiple FieldTrip data structures as input and where cfg is a
% configuration structure th... |
github | mccahill/docker-novnc-fmri-master | ft_removetmsartifact.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_removetmsartifact.m | 12,610 | utf_8 | 05275fb18405d2ef9afe00bb7e42410c | function data = ft_removetmsartifact(cfg, data)
% FT_REMOVETMSARTIFACT removes TMS artifacts from EEG data
%
% %% NOTE: Please be aware that this function is deprecated. Please follow
% the TMS-EEG tutorial instead
% (http://fieldtrip.fcdonders.nl/tutorial/tms-eeg).
% %%
%
% Use as
% data = ft_remov... |
github | mccahill/docker-novnc-fmri-master | ft_interactiverealign.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_interactiverealign.m | 20,916 | utf_8 | f04bdc058ae63b120be0e11c5972666f | function cfg = ft_interactiverealign(cfg)
% FT_INTERACTIVEREALIGN interactively rotates, scales and translates
% electrode positions to template electrode positions or towards
% the head surface.
%
% Use as
% [cfg] = ft_interactiverealign(cfg)
%
% The configuration structure should contain the individuals geometrica... |
github | mccahill/docker-novnc-fmri-master | ft_neighbourplot.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_neighbourplot.m | 14,266 | utf_8 | d726ed61446364883fe7d08b15bdf2a5 | function [cfg] = ft_neighbourplot(cfg, data)
% FT_NEIGHBOURPLOT visualizes neighbouring channels in a particular channel
% configuration. The positions of the channel are specified in a
% gradiometer or electrode configuration or from a layout.
%
% Use as
% ft_neighbourplot(cfg)
% or as
% ft_neighbourplot(cfg, dat... |
github | mccahill/docker-novnc-fmri-master | ft_appendfreq.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_appendfreq.m | 14,645 | utf_8 | 1a2115faa43e7986157d4e6ece36bd5b | function [freq] = ft_appendfreq(cfg, varargin)
% FT_APPENDFREQ concatenates multiple frequency or time-frequency data
% structures that have been processed separately. If the input data
% structures contain different channels, it will be concatenated along the
% channel direction. If the channels are identical in the ... |
github | mccahill/docker-novnc-fmri-master | ft_electroderealign.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_electroderealign.m | 33,830 | utf_8 | 729261ff6fd7eefe0b6498cacb2415ce | function [norm] = ft_electroderealign(cfg)
% FT_ELECTRODEREALIGN rotates and translates electrode positions to template
% electrode positions or towards the head surface. It can either perform a rigid body
% transformation, in which only the coordinate system is changed, or it can apply
% additional deformations to th... |
github | mccahill/docker-novnc-fmri-master | ft_singleplotTFR.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_singleplotTFR.m | 25,566 | utf_8 | 77510f92845cbbacc3e4a5d68433ca0a | function [cfg] = ft_singleplotTFR(cfg, data)
% FT_SINGLEPLOTTFR plots the time-frequency representation of power of a
% single channel or the average over multiple channels.
%
% Use as
% ft_singleplotTFR(cfg,data)
%
% The input freq structure should be a a time-frequency representation of
% power or coherence that w... |
github | mccahill/docker-novnc-fmri-master | ft_prepare_sourcemodel.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_prepare_sourcemodel.m | 33,552 | utf_8 | 904bc43f21ebcb3cd7e5ec087ce0282a | function [grid, cfg] = ft_prepare_sourcemodel(cfg, vol, sens)
% FT_PREPARE_SOURCEMODEL constructs a source model, for example a 3-D grid or a
% cortical sheet. The source model that can be used for source reconstruction,
% beamformer scanning, linear estimation and MEG interpolation.
%
% Use as
% grid = ft_prepare_s... |
github | mccahill/docker-novnc-fmri-master | ft_multiplotER.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_multiplotER.m | 34,495 | utf_8 | 84d9235a9ab299fbd5188263ccb235e1 | function [cfg] = ft_multiplotER(cfg, varargin)
% FT_MULTIPLOTER plots the event-related potentials, event-related fields
% or oscillatory activity (power or coherence) versus frequency. Multiple
% datasets can be overlayed. The plots are arranged according to their
% location specified in the layout.
%
% Use as
% f... |
github | mccahill/docker-novnc-fmri-master | ft_prepare_mesh.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_prepare_mesh.m | 8,506 | utf_8 | a400854617446c89aa2743275b8cf475 | function [bnd, cfg] = ft_prepare_mesh(cfg, mri)
% FT_PREPARE_MESH creates a triangulated surface mesh for the volume
% conduction model. The mesh can either be selected manually from raw
% mri data or can be generated starting from a segmented volume
% information stored in the mri structure. The result is a bnd
% str... |
github | mccahill/docker-novnc-fmri-master | ft_compile_mex.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_compile_mex.m | 7,932 | utf_8 | 5afaf98b4fe2ea581d676bc933122f1e | function ft_compile_mex(force)
% FT_COMPILE_MEX can be used for compiling most of the FieldTrip MEX files
% Note that this function does not put the MEX files in the correct
% location in the private folders, this is managed by SVN autosync. In case
% you are not working with SVN and you want to recompile the mex file... |
github | mccahill/docker-novnc-fmri-master | fieldtrip2fiff.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/fieldtrip2fiff.m | 10,181 | utf_8 | 11d3463081796deb070f6f94ece27602 | function fieldtrip2fiff(filename, data)
% FIELDTRIP2FIFF saves a FieldTrip raw data structure as a fiff-file, allowing it
% to be further analyzed by the Neuromag software, or in the MNE suite software.
%
% Use as
% fieldtrip2fiff(filename, data)
% where filename is the name of the output file, and data is a raw dat... |
github | mccahill/docker-novnc-fmri-master | ft_artifact_zvalue.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_artifact_zvalue.m | 45,463 | utf_8 | dd8af07c91b6c1f4e65336169882288d | function [cfg, artifact] = ft_artifact_zvalue(cfg, data)
% FT_ARTIFACT_ZVALUE reads the interesting segments of data from file and
% identifies artifacts by means of thresholding the z-transformed value
% of the preprocessed raw data. Depending on the preprocessing options,
% this method will be sensitive to EOG, musc... |
github | mccahill/docker-novnc-fmri-master | ft_sourceparcellate.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_sourceparcellate.m | 16,383 | utf_8 | a5d2aa7feb472b49d2f68eefa88b2e54 | function parcel = ft_sourceparcellate(cfg, source, parcellation)
% FT_SOURCEPARCELLATE combines the source-reconstruction parameters over the parcels.
%
% Use as
% output = ft_sourceparcellate(cfg, source, parcellation)
% where the input source is a 2D surface-based or 3-D voxel-based source grid that was for
% exa... |
github | mccahill/docker-novnc-fmri-master | besa2fieldtrip.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/besa2fieldtrip.m | 16,196 | utf_8 | 77473b7d0f2fe0a20cb7454662e8cfe1 | function [data] = besa2fieldtrip(input)
% BESA2FIELDTRIP reads and converts various BESA datafiles into a FieldTrip
% data structure, which subsequently can be used for statistical analysis
% or other analysis methods implemented in Fieldtrip.
%
% Use as
% [data] = besa2fieldtrip(filename)
% where the filename shoul... |
github | mccahill/docker-novnc-fmri-master | ft_topoplotCC.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/ft_topoplotCC.m | 12,895 | utf_8 | 66eb2f5a19c775d92ea107d3a6d82b75 | function [cfg] = ft_topoplotCC(cfg, freq)
% FT_TOPOPLOTCC plots the coherence between channel pairs
%
% Use as
% ft_topoplotCC(cfg, freq)
%
% The configuration should contain:
% cfg.feedback = string (default = 'textbar')
% cfg.layout = specification of the layout, see FT_PREPARE_LAYOUT
% cfg.foi ... |
github | mccahill/docker-novnc-fmri-master | ft_struct2single.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_struct2single.m | 2,943 | utf_8 | 69b1d7992be769842b00bc7713da53a3 | function [x] = ft_struct2single(x, maxdepth)
% FT_STRUCT2SINGLE converts all double precision numeric data in a structure
% into single precision, which takes up half the amount of memory compared
% to double precision. It will also convert plain matrices and cell-arrays.
%
% Use as
% x = ft_struct2single(x);
%
% S... |
github | mccahill/docker-novnc-fmri-master | ft_datatype_sens.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_datatype_sens.m | 20,793 | utf_8 | eb4e399097641d4e1b472e7bb1ca7b81 | 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 | ft_datatype.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_datatype.m | 9,109 | utf_8 | f211d600cea11a2f5db6a13824d82c5f | 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_checkconfig.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_checkconfig.m | 25,662 | utf_8 | 527ab3c1807053aa9ada10719290edba | function [cfg] = ft_checkconfig(cfg, varargin)
% FT_CHECKCONFIG checks the input cfg of the main FieldTrip functions.
%
% 1: It checks whether the cfg contains all the required options, it gives
% a warning when renamed or deprecated options are used, and it makes sure
% no forbidden options are used. If necessary and... |
github | mccahill/docker-novnc-fmri-master | ft_datatype_source.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_datatype_source.m | 11,599 | utf_8 | e9dbb6c5a4940f949e44426eb58f678f | 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 | ft_determine_coordsys.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_determine_coordsys.m | 12,309 | utf_8 | 676b20adb7e59abf7f0def699c77a896 | function [data] = ft_determine_coordsys(data, varargin)
% FT_DETERMINE_COORDSYS plots a geometrical object, allowing you to perform
% a visual check on the coordinatesystem, the units and on the anatomical
% labels for the coordinate system axes.
%
% Use as
% [dataout] = ft_determine_coordsys(datain, ...)
% where th... |
github | mccahill/docker-novnc-fmri-master | ft_selectdata_new.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_selectdata_new.m | 50,552 | utf_8 | 41004970a6851fcf150e9f3b7200ba94 | function [varargout] = ft_selectdata_new(cfg, varargin)
% FT_SELECTDATA_NEW is deprecated, please use FT_SELECTDATA instead.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Old documentation for reference
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% This ... |
github | mccahill/docker-novnc-fmri-master | ft_hastoolbox.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_hastoolbox.m | 25,228 | utf_8 | 97304711a34e22a0aff74f47a3725dda | 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 | ft_checkdata.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_checkdata.m | 77,667 | utf_8 | fc7651affb76820afe00889edaff9338 | 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 | nearest.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/nearest.m | 6,234 | utf_8 | 4468e0e45b09d974d56d7219e5e9ff56 | function [indx] = nearest(array, val, insideflag, toleranceflag)
% NEAREST return the index of an array nearest to a scalar
%
% Use as
% [indx] = nearest(array, val, insideflag, toleranceflag)
%
% The second input val can be a scalar, or a [minval maxval] vector for
% limits selection.
%
% If not specified or if lef... |
github | mccahill/docker-novnc-fmri-master | ft_checkopt.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_checkopt.m | 5,140 | utf_8 | 38274e2a1d9d0ac029879a9ec80e61c9 | 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 | mccahill/docker-novnc-fmri-master | ft_struct2double.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_struct2double.m | 2,878 | utf_8 | 8b9a93199ee501c885aa1902dcdb0dee | function [x] = ft_struct2double(x, maxdepth)
% FT_STRUCT2DOUBLE converts all single precision numeric data in a structure
% into double precision. It will also convert plain matrices and
% cell-arrays.
%
% Use as
% x = ft_struct2double(x);
%
% Starting from MATLAB 7.0, you can use single precision data in your
% c... |
github | mccahill/docker-novnc-fmri-master | printstruct.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/printstruct.m | 5,923 | utf_8 | 03dd2294eaf87dfe81f5b4e888848965 | function str = printstruct(name, val)
% PRINTSTRUCT converts a MATLAB structure into a multi-line string that can be
% interpreted by MATLAB, resulting in the original structure.
%
% Use as
% str = printstruct(val)
% or
% str = printstruct(name, val)
% where "val" is any MATLAB variable, e.g. a scalar, vector, mat... |
github | mccahill/docker-novnc-fmri-master | ft_datatype_raw.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_datatype_raw.m | 11,132 | utf_8 | ed145c9fbe726e9b6e34d1a81e7a4043 | 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 | ft_version.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_version.m | 20,526 | utf_8 | 4bdc03eff3d3001220283cab06b97fa2 | function [ftver, ftpath] = ft_version(cmd)
% FT_VERSION returns the version and installation directory of FieldTrip
%
% FieldTrip is not released with version numbers as "2.0", "2.1", etc. Instead, we
% have a Subversion (SVN) development version and a daily FTP release version.
%
% The SVN development version is labe... |
github | mccahill/docker-novnc-fmri-master | ft_selectdata.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_selectdata.m | 47,940 | utf_8 | 9e2932161f3729c2b1fafb36b6f9cd5b | function [varargout] = ft_selectdata(varargin)
% FT_SELECTDATA makes a selection in the input data along specific data
% dimensions, such as channels, time, frequency, trials, etc. It can also
% be used to average the data along each of the specific dimensions.
%
% Use as
% [data] = ft_selectdata(cfg, data, ...)
%
% ... |
github | mccahill/docker-novnc-fmri-master | ft_transform_geometry.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/ft_transform_geometry.m | 4,086 | utf_8 | bc8d2ce59706b2c41ec98e6d575abb4d | function [output] = ft_transform_geometry(transform, input)
% FT_TRANSFORM_GEOMETRY applies a homogeneous coordinate transformation to
% a structure with geometric information. These objects include:
% - volume conductor geometry, consisting of a mesh, a set of meshes, a
% single sphere, or multiple spheres.
% ... |
github | mccahill/docker-novnc-fmri-master | getdimord.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/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 | pinvNx2.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/private/pinvNx2.m | 1,115 | utf_8 | f3995af2f68c58ae1810bd10b370ed07 | 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 | mccahill/docker-novnc-fmri-master | individual2sn.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/private/individual2sn.m | 5,003 | utf_8 | 41e80c4e5da6a907ba8391ae1d245c29 | function [warped]= individual2sn(P, input)
% INDIVIDUAL2SN warps the input coordinates (defined as Nx3 matrix) from
% individual headspace coordinates into normalised MNI coordinates, using the
% (inverse of the) warp parameters defined in the structure spmparams.
%
% this is code inspired by nutmeg and spm: nut_mri2m... |
github | mccahill/docker-novnc-fmri-master | warning_once.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/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 | getdimsiz.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/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 | project_elec.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/utilities/private/project_elec.m | 3,850 | utf_8 | ef202b133e8b7ab407250b6761a4c4d4 | 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 | ft_plot_sens.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/ft_plot_sens.m | 6,255 | utf_8 | 8c0653f6aea60a502ca9e8e0188458c0 | function hs = ft_plot_sens(sens, varargin)
% FT_PLOT_SENS plots the position of the channels in the EEG or MEG sensor array
%
% Use as
% ft_plot_sens(sens, ...)
% where the first argument is the sensor array as returned by READ_SENS
% or PREPARE_VOL_SENS.
%
% Optional input arguments should come in key-value pairs a... |
github | mccahill/docker-novnc-fmri-master | ft_plot_montage.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/ft_plot_montage.m | 6,934 | utf_8 | f2677afa07aeeb63ad280a65c8bb2bad | function ft_plot_montage(dat, varargin)
% FT_PLOT_MONTAGE makes a montage of a 3-D array by selecting slices at
% regular distances and combining them in one large 2-D image.
%
% Use as
% ft_plot_montage(dat, ...)
% where dat is a 3-D array.
%
% Additional options should be specified in key-value pairs and can be
%... |
github | mccahill/docker-novnc-fmri-master | ft_select_point.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/ft_select_point.m | 3,476 | utf_8 | 728ce8d41999ac98d8f684683a4d0ff3 | function [selected] = ft_select_point(pos, varargin)
% FT_SELECT_POINT helper function for selecting a one or multiple points in the
% current figure using the mouse. It returns a list of the [x y] coordinates of the
% selected points.
%
% Use as
% [selected] = ft_select_point(pos, ...)
%
%
% Optional input argument... |
github | mccahill/docker-novnc-fmri-master | ft_plot_slice.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/ft_plot_slice.m | 13,734 | utf_8 | 151432d649f0b11b618c00e3e5a6b6dc | function [h, T2] = ft_plot_slice(dat, varargin)
% FT_PLOT_SLICE cuts a 2-D slice from a 3-D volume and interpolates if needed
%
% Use as
% ft_plot_slice(dat, ...)
% ft_plot_slice(dat, mask, ...)
% where dat and mask are equal-sized 3-D arrays.
%
% Additional options should be specified in key-value pairs and can b... |
github | mccahill/docker-novnc-fmri-master | ft_select_range.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/ft_select_range.m | 14,255 | utf_8 | 8cc7f18efb68fbf210ca8773c6bc9b5a | function ft_select_range(handle, eventdata, varargin)
% FT_SELECT_RANGE is a helper function that can be used as callback function
% in a figure. It allows the user to select a horizontal or a vertical
% range, or one or multiple boxes.
%
% The callback function (and it's arguments) specified in callback is called
% ... |
github | mccahill/docker-novnc-fmri-master | ft_select_channel.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/ft_select_channel.m | 5,764 | utf_8 | bd22417df7bb364b9f814082c341f75b | function ft_select_channel(handle, eventdata, varargin)
% FT_SELECT_CHANNEL is a helper function that can be used as callback function
% in a figure. It allows the user to select a channel. The channel labels
% are returned.
%
% Use as
% label = ft_select_channel(h, eventdata, ...)
% The first two arguments are auto... |
github | mccahill/docker-novnc-fmri-master | ft_datatype_sens.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/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 | ptriside.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/private/ptriside.m | 1,257 | utf_8 | f52f0beb3731b653116c217b37b673d2 | function [side] = ptriside(v1, v2, v3, r, tolerance)
% PTRISIDE determines the side of a plane on which a set of points lie. it
% returns 0 for the points that lie on the plane
%
% [side] = ptriside(v1, v2, v3, r)
%
% the side of points r is determined relative to the plane spanned by
% vertices v1, v2 and v3. v1,v2 ... |
github | mccahill/docker-novnc-fmri-master | ft_convert_units.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/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_apply_montage.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/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 | select3dtool.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/private/select3dtool.m | 2,713 | utf_8 | fdf7d572638e6ebd059c63f233d26704 | function select3dtool(arg)
%SELECT3DTOOL A simple tool for interactively obtaining 3-D coordinates
%
% SELECT3DTOOL(FIG) Specify figure handle
%
% Example:
% surf(peaks);
% select3dtool;
% % click on surface
if nargin<1
arg = gcf;
end
if ~ishandle(arg)
feval(arg);
return;
end
%% initialize gui %%
fig... |
github | mccahill/docker-novnc-fmri-master | warning_once.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/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 | mesh2edge.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/private/mesh2edge.m | 3,477 | utf_8 | 787befab8f09407ac0979720168bc0bd | 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 | intersect_plane.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/private/intersect_plane.m | 2,895 | utf_8 | b60e6cc7b1037dc523c8c227b1dd359e | function [X, Y, Z, pnt1, tri1, pnt2, tri2] = intersect_plane(pnt, tri, v1, v2, v3)
% INTERSECT_PLANE intersection between a triangulated surface and a plane
% it returns the coordinates of the vertices which form a contour
% % Use as
% [X, Y, Z] = intersect_plane(pnt, tri, v1, v2, v3)
%
% where the intersecting pla... |
github | mccahill/docker-novnc-fmri-master | inside_contour.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/plotting/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 | ft_specest_mtmconvol.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/specest/ft_specest_mtmconvol.m | 20,928 | utf_8 | 4d3949b64634d002ccbf923e7633ec6f | function [spectrum,ntaper,freqoi,timeoi] = ft_specest_mtmconvol(dat, time, varargin)
% FT_SPECEST_MTMCONVOL performs wavelet convolution in the time domain by
% multiplication in the frequency domain.
%
% Use as
% [spectrum,freqoi,timeoi] = ft_specest_mtmconvol(dat,time,...)
% where
% dat = matrix of chan*sa... |
github | mccahill/docker-novnc-fmri-master | ft_specest_mtmfft.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/specest/ft_specest_mtmfft.m | 14,583 | utf_8 | ac20d0f19dcc1c4b3b4a96c31b45fc34 | function [spectrum,ntaper,freqoi] = ft_specest_mtmfft(dat, time, varargin)
% FT_SPECEST_MTMFFT computes a fast Fourier transform using multitapering with
% multiple tapers from the DPSS sequence or using a variety of single tapers.
%
% Use as
% [spectrum,ntaper,freqoi] = ft_specest_mtmfft(dat,time...)
% where
% da... |
github | mccahill/docker-novnc-fmri-master | warning_once.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/specest/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 | getdimord.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/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 | pinvNx2.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/pinvNx2.m | 1,115 | utf_8 | f3995af2f68c58ae1810bd10b370ed07 | 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 | mccahill/docker-novnc-fmri-master | avw_hdr_make.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/avw_hdr_make.m | 4,182 | utf_8 | df97baf07b917c62db1cde33abfc8416 | function [ avw ] = avw_hdr_make
% AVW_HDR_MAKE - Create Analyze format data header (avw.hdr)
%
% [ avw ] = avw_hdr_make
%
% avw.hdr - a struct, all fields returned from the header.
% For details, find a good description on the web
% or see the Analyze File Format pdf in the
% mri_toolb... |
github | mccahill/docker-novnc-fmri-master | prepare_mesh_headshape.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/prepare_mesh_headshape.m | 9,387 | utf_8 | c4c7bdd0280d2610562a78b117c2db16 | function bnd = prepare_mesh_headshape(cfg)
% PREPARE_MESH_HEADSHAPE
%
% See also PREPARE_MESH_MANUAL, PREPARE_MESH_SEGMENTATION
% Copyrights (C) 2009, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation and details.
%
% FieldTrip is free softwar... |
github | mccahill/docker-novnc-fmri-master | normals.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/normals.m | 2,582 | utf_8 | 4c682f86158767f0f1a3a1dd8ec57998 | 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.ru.n... |
github | mccahill/docker-novnc-fmri-master | rejectvisual_trial.m | .m | docker-novnc-fmri-master/mri/spm12/external/fieldtrip/private/rejectvisual_trial.m | 9,360 | utf_8 | 70c608ed1010a7f2dde378e7ceb36ea1 | function [chansel, trlsel, cfg] = rejectvisual_trial(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;
% de... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.