sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
c2bfc569186895575b278b8cc04e6bd50e44fa0c3b2afc3f1b38381753d16815 | MATLAB | 4,955 | 102 | %
%
% B01_raster_psth_sceneRecog_BAligned_BSep_NWB( nwbData, timestampsOfCell, channelid, cellNr, brainAreaOfCell, bin_width_raster, bin_width_fr, plot_flag)
%
%History
%12/2/21: This file is forked from original B01_raster_psth_sceneRecog_BAligned_BSep.m by JZ.
%
function [] = B01_raster_psth_sceneRecog_SAligned_BSe... |
d78fbb3cf540837b6dcca5562da7f309c6bd2a28cf97b04a20d03ffcb9ef1dd0 | MATLAB | 4,955 | 127 | classdef SternRecording < AudioRecording
methods (Static)
function canLoad = canLoadFromPath(filePath)
% See if the file's extension is .bin.
[~, ~, fileExt] = fileparts(filePath);
canLoad = strcmp(fileExt, '.bin');
if (canLoad)
fid = fope... |
157439e6b825a10b6785a5b615665c935cdb22f10b6523ddbd9df823c92f6ed9 | MATLAB | 4,957 | 139 | function [] = updateEventSpikingPlots(paramGridFigHandles, analysisParam, gridOP, paramOP, simParam)
%UPDATEEVENTSPIKINGPLOTS Summary of this function goes here
%
% Updates the plots in the parameter grid loop for the event Spiking analysis script
ithGridOPPlot = 1;
xVals = simParam.variedParam(1).range;
xLabel = si... |
83ddbf1d59f5f5db470a7414da3e6b32065d178ce7fc854186d44eb5c105122b | MATLAB | 4,957 | 157 | %%
dd = dir('BenDec2019/*.lbl');
lblsnew = {dd.name}';
lblsnew = fullfile('BenDec2019',lblsnew);
nlblsnew = numel(lblsnew);
%% get all new movs
mfa = [];
tlbl = [];
tlblconc = [];
currmovoffset = 0;
for i=1:nlblsnew
ldnew = loadLbl(lblsnew{i});
mfacurr = ldnew.movieFilesAll;
mfacurr = regexprep(mfacurr,'Z:\','/gr... |
e389e80c6a64ffe17b28fd04c5996ccd0ebf879706f75473eac3c1086fea40ec | MATLAB | 4,958 | 179 | % Copyright (c) 2008 INRIA - Asclepios Project. All rights reserved.
function writeinr(inrfile,data,type,voxelsize,slices)
%Write down an image as an Inrimage file
% WRITEINR(INRFILE, DATA, TYPE, VOXELSIZE, SLICES)
% Input arguments:
% INRFILE - filename
% DATA - data matrix
% TYPE - type of image... |
e4ee9da0fa905b48c5e3df64201d8545ac7750929040af8a54af48e86acebdcc | MATLAB | 4,958 | 131 | 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 ... |
efd767d3a76b5c7af2255db71e915d1d3a800692374299d8dc406a6d311e9e46 | MATLAB | 4,962 | 169 | function [ newevent, error ] = wlProc_fitFreqPhaseLogarithmic( ...
hilfreq, hilphase, oldevent)
% function [ newevent, error ] = wlProc_fitFreqPhaseLogarithmic( ...
% hilfreq, hilphase, oldevent)
%
% This function estimates oscillatory burst frequency and phase by curve
% fitting a logarithmic ramp in the region o... |
87d42a6649960170187971e381fc1f7091bb349d0573b76598f4887db78717ba | MATLAB | 4,963 | 152 | function write_gdf(filename, hdr, data)
% WRITE_GDF(filename, header, data)
%
% Writes a GDF file from the given header (only label, Fs, nChans are of interest)
% and the data (unmodified). Digital and physical limits are derived from the data
% via min and max operators. The GDF file will contain N records of 1 sampl... |
cd12de80fa58912170f62aa67a4861bc446b0e665e1034247f61a5c0023c6b67 | MATLAB | 4,963 | 131 | % check_stack.m
% Sarah West
% 8/27/21
% Checks if a preprocessed stack is corrupt
function [] = check_stacks(parameters)
% Assign parameters their original names
input_data_name = parameters.input_data_name;
dir_exper = parameters.dir_exper;
mice_all = parameters.mice_all;
digitNumber = pa... |
54abeccba7196194db8a674a7caf16ab37fcf62bae9c2b510853689353a92069 | MATLAB | 4,967 | 158 | function [T,Uinit] = tucker_als(X,R,varargin)
%TUCKER_ALS Higher-order orthogonal iteration.
%
% T = TUCKER_ALS(X,R) computes the best rank-(R1,R2,..,Rn)
% approximation of tensor X, according to the specified dimensions
% in vector R. The input X can be a tensor, sptensor, ktensor, or
% ttensor. The result r... |
5df91a810a0258001e865b363387152fb80ebdaac176ebccc83f9ff29396f8c1 | MATLAB | 4,969 | 140 | function [stat, cfg] = ft_statistics_crossvalidate(cfg, dat, design)
% FT_STATISTICS_CROSSVALIDATE performs cross-validation using a prespecified
% multivariate analysis given by cfg.mva
%
% Use as
% stat = ft_timelockstatistics(cfg, data1, data2, data3, ...)
% stat = ft_freqstatistics (cfg, data1, data2, data3... |
37a0a96317ff42bfae4b8ffb9b0b4f67cdc433809525aded1a7fc29ea4d613c9 | MATLAB | 4,971 | 176 | function [group_avgs, group_stes, subject_avgs, subject_stes, braindata] = selective_average_group(V, onsets, xyz_mm_pos, varargin)
% ..
% DOCUMENTATION NOT COMPLETE!
% ..
% uses selective_average.m
% used in selective_average_interactive_view_init.m
%
% :Examples:
% ::
%
% [group_avgs, group_stes, subject_avgs, ... |
839bcc1848d430b43859f17b8bbd17405f66c0ebb8d0aca82c6a661a6e823d8f | MATLAB | 4,971 | 223 | function [xc,good,bad,type] = cornerfinder2(xt,I,wintx,winty,wx2,wy2);
%[xc] = cornerfinder(xt,I);
%
%Finds the sub-pixel corners on the image I with initial guess xt
%xt and xc are 2xN matrices. The first component is the x coordinate
%(horizontal) and the second component is the y coordinate (vertical)
%
%Based on ... |
127c4b0c43448e8df2fa2f6eb4aa8346b3fd897bc55a362388b57030b027859e | MATLAB | 4,972 | 152 | function pairsOut=View_Clear_Brain_ROI_Corr_fc(Anat,IM,M,dataOut,fc,Pmax,params)
%
% This function draws ROIs on the brain and connecting rods colored by sign
% of correlation values in C. This can be the fc correlation itself if that
% is passed, or it can be the correlation of brain fc with behavior if that
% matri... |
21e9e723005e8a0a4300b2510b172c36d8635a8cfa1b2357530d72efa0d7c804 | MATLAB | 4,976 | 171 | function [P,Uinit] = cp_nmu(X,R,opts)
%CP_NMU Compute nonnegative CP with multiplicative updates.
%
% P = CP_NMU(X,R) computes an estimate of the best rank-R PARAFAC
% model of a tensor X with nonnegative constraints on the factors.
% This version uses the Lee & Seung multiplicative updates from
% their NMF alg... |
0b5f14d56bbff7ae4d0bbb87c5e2da1b6868089c11cc90df6728d091204f14c0 | MATLAB | 4,977 | 166 | function GonzalezPereyra_etal_Fig_01
load([pwd '/Data_GonzalezPereyra_etal_Fig_01.mat']) %#ok<*LOAD>
ctrlColor=[168 177 192]./255;
figure;
set(gcf,'Position',[206 594 1087 202],'color','w');
theX=0.5:1:80;
ctrlHist=histc(AllAnimals_AllRates_Ctrl(:,2),0:1:80); %#ok<*USENS,*HISTC>
ctrlHist(end)=[];
subplo... |
fb5e4f4d590f4591741bdcf29281a0551866c1c03b6e4eef56eba2cd2e139a44 | MATLAB | 4,977 | 163 | function [dat] = read_neuralynx_cds(filename, hdr, begsample, endsample, chanindx)
% READ_NEURALYNX_CDS reads selected samples and channels from a combined Neuralynx dataset with separate subdirectories for the LFP, MUA and spike channels
%
% Use as
% hdr = read_neuralynx_cds(parentdir)
% dat = read_neuralynx_c... |
e332634d4438a9aaca197e2341fe4d07d3290ca25bc14e1b4fe2faf41d19eb06 | MATLAB | 4,978 | 214 | %if exist('images_read');
% active_images = active_images & images_read;
%end;
var2fix = 'dX_default';
fixvariable;
var2fix = 'dY_default';
fixvariable;
var2fix = 'map';
fixvariable;
if ~exist('n_ima'),
data_calib;
end;
check_active_images;
if ~exist(['I_' num2str(ind_active(1))]),
ima_read_calib;
... |
2208f1ea99af37d9bc08cd519263c9d545ccb14751bbe0f1a368b936841a0e46 | MATLAB | 4,979 | 142 | % FindPhaseDifference.m
% Sarah West
% 7/20/23
% Finds the phase difference between two body part velocity traces for
% pipeline_gait_analysis.m . Uses phdiffmeasure.m . Called by RunAnalysis.
function [parameters] = FindPhaseDifference(parameters)
% Inputs:
reference = parameters.reference; % The cell arra... |
79cca8409a0a5bd956fcfc5f44abfa5f9c7fc1d5d6dd575755dcbaca6f6c7ed5 | MATLAB | 4,979 | 126 | classdef ParameterTreeConstraint < handle
% A ParameterTreeConstraint is used at parameter-setting time to enforce
% constraints between parameters that would be confusing for the user.
%
% In particular, eg a preprocessing parameter might have a constraint
% with a CPR property; if a DL tracker is selected, ... |
942cf3bc8fbae61c0360930facd1ab714dd8021348b0d2efdaebc31083be7695 | MATLAB | 4,979 | 153 | % Second-kind integral equation on the unit square, Laplace single-layer.
%
% This is basically the same as IE_SQUARE1 but with the identity added to the
% system matrix in order to create an artificial second-kind volume integral
% operator. It skips the preconditioned GMRES comparison since the problem is
% well-cond... |
15200843ca1dd3dd9c83ec5c86effb1d78a416bcb27641013d9803096232ff89 | MATLAB | 4,980 | 144 | function CBIG_preproc_create_ROI_regressors(fMRI_list, output_list, WB_mask, WM_mask, CSF_mask, diff_flag)
% CBIG_preproc_create_ROI_regressors(fMRI_list, output_list, WB_mask, WM_mask, CSF_mask)
%
% This function creates ROI (region of interest) regressors based on given
% masks: Whole Brain mask, White Matter mask o... |
4ab719b623e5c2f256caf0fe5ceb4dc4cdee41e393329371943c0819b6bd4515 | MATLAB | 4,980 | 139 | function write_brainvision_eeg(filename, hdr, dat, event)
% WRITE_BRAINVISION_EEG exports continuous EEG data to a BrainVision *.eeg
% and corresponding *.vhdr file. The samples in the exported file are
% multiplexed and stored in ieee-le float32 format.
%
% Use as
% write_brainvision_eeg(filename, hdr, dat)
%
% See... |
a3393b657d3884d057c0342a35e7889c7d3df17250d84f5bef1969c4f8565e1f | MATLAB | 4,980 | 112 | function dlmcell(file,cell_array,varargin)
% <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><> %%
% <><><><><> dlmcell - Write Cell Array to Text File <><><><><> %
% <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><> %
% ... |
40e55443aced009fb84ae138a4312f6ef40a654f456c47d58a5fd04bd0bef9fe | MATLAB | 4,981 | 224 |
%%%%%%%%%%%%%%%%%%%% SHOW EXTRINSIC RESULTS %%%%%%%%%%%%%%%%%%%%%%%%
if ~exist('show_camera'),
show_camera = 1;
end;
if ~exist('n_ima')|~exist('fc'),
fprintf(1,'No calibration data available.\n');
return;
end;
check_active_images;
if n_ima ~= 0,
if ~exist(['omc_' num2str(ind_active(1))]),
fprintf(1,'... |
70521fecf5f7c9a1cb6a4b6a1dcace3bcb7add33441e41eaee6383fd208186f2 | MATLAB | 4,982 | 148 |
%% parameters setting
clear;
hemi={'lh';'rh'};
hm=1;
surf_tpe='sphere';
% surf_tpe='inflated'; %edit me
surfsuffix='orig';
dataDir = '/home/xianchige/YZY/20220523data/sub03/session01/';
%dataDir = '/home/xianchige/YZY/20220322test/data/session1/sub01/';
%% load data
% ssname='litongsubjectfortest';
% ssname='lito... |
ec753adad5e31f83c900d93362c6f4131f4abd7584db24375bb253fb0baa0d66 | MATLAB | 4,983 | 139 | function mscmd_detect3(timeseries_path,detect_out_path,opts)
%MSCMD_DETECT3 - Detect super-threshold events in a raw/preprocessed dataset
%
%This is a wrapper to a command-line call to mountainsort. The
%functionality is similar to that of ms_detect3.
%
% Syntax: mscmd_detect(input_path,output_path,opts)
%
% Inputs:
%... |
3cc572c2d400a619f21ccb5bf7367609a483d9e9d2978093c5496f57049fb9a0 | MATLAB | 4,985 | 138 | function ga_mixedsensory_stats(subjects, nerve, has_allsubj)
%% set variables
srmr_nr = 2;
savepath_ga = getenv('GADIR');
if nerve == 1
conditions = 2:3;
% channels
chan_names = {'Biceps' 'SC6' 'SC6_antRef' 'esg_cca' 'eeg_cca'};
nerve_name = 'median';
elseif nerve == 2
conditions = 4:5;
% chan... |
3e68d0aff497ad4c329703761eb267f0129a77902b359f0e8a6c2ea4a351c590 | MATLAB | 4,986 | 152 | % l1 = load('/home/mayank/work/poseEstimation/RomainLeg/Apr28AndJun22_onlyBottom.lbl','-mat');
l1 = load('/localhome/kabram/Dropbox (HHMI)/MultiViewFlyLegTracking/multiview labeling/romainJun22NewLabels.lbl','-mat');
lfiles1 = {'/localhome/kabram/Dropbox (HHMI)/MultiViewFlyLegTracking/sep1616/sep1616-1531Romain.lbl'
... |
60e1b9f0cdaea0099a47b111add0e70a0901058c47983776f2845b6e8fca1812 | MATLAB | 4,986 | 166 | %% findMatchingStructRowFromString
%
%Macro for row-match indexing of struct field; used to find row indices for
%a 1xN structure, which correspond to a query.
%
% pass in a struct, and field (of strings/characters), and find the unique
% vals, and produce an iterator for each unique type 'class', which can
% l... |
051627a201b29ce687e708a46f83853f5f63e9e91051575d7367de6f169cb1d2 | MATLAB | 4,988 | 144 | %% OBJECTIVE: Merge SH with Mayank data so we can use Mayank paths
%%
tM = load('tblMayank_20180412T190459.mat');
tM = tM.tblMayank;
t = load('tblSH_idDupsRemoved_20180415T095958.mat');
t = t.tIDdupsRmed;
tM.movFile = FSPath.standardPath(strtrim(tM.movFile));
tM.movID = FSPath.standardPath(strtrim(tM.movID));
tM.movI... |
33a3f785f455a553b5c34621cf139e8b2c5ce068f5e1b758f880a5129b6c8e23 | MATLAB | 4,994 | 166 | function h_setDendriteTracingVis3(handles)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
state = currentStruct.state;
tracingMarkObj = findobj(handles.imageAxes,'Tag','h_tracingMark3');
tracingMarkTextObj = findobj(handles.imageAxes,'Tag','h_tracingMarkText3');
skelet... |
b11cd444fa07b7af0e0e53d460b5d67f5b3d271737b9aed0037baafcb71a1936 | MATLAB | 4,994 | 102 | %
%
% B01_raster_psth_timeDiscrim_SAligned_BSep_NWB( nwbData, timestampsOfCell, channelid, cellNr, brainAreaOfCell, bin_width_raster, bin_width_fr, plot_flag)
%
%History
%12/7/21: This file is forked from original B01_raster_psth_timeDiscrim_BAligned_BSep.m by JZ.
%
function [] = B01_raster_psth_timeDiscrim_SAligned_... |
bbaef27bfcbe819ac8226891645bf169dbb97dadb59e7454cf441bd7a00dfd92 | MATLAB | 4,994 | 117 | exptype = 'RF';
cprdir = '/groups/branson/bransonlab/apt/experiments/res/cprgt20190407';
isshexp = false;
switch exptype,
case 'SH'
gtfile_trainsize_cpr = {fullfile(cprdir,'outputFINAL/stephen_view0_trainsize_withcpr.mat'),fullfile(cprdir,'outputFINAL/stephen_view1_trainsize_withcpr.mat')};
gtfile_trainsize =... |
20245a472d6d00473016e44b0732cbe537d59e504e96b5be2a4515ba3dc35319 | MATLAB | 4,998 | 175 | function varargout=rotationMatrix(varargin)
% Performs different operations dealing with a rotation matrix
%
% USAGE
% R = rotationMatrix( M )
% [u,theta] = rotationMatrix( R )
% R = rotationMatrix( theta )
% R = rotationMatrix( u )
% R = rotationMatrix( u, theta )
% R = rotationMatrix( th1, th2, th3 )
% R = rot... |
b4f08586ced3735d5aa2d1dfcd6c28ba367a6a6a85df01a7095e00108fc416f7 | MATLAB | 4,998 | 223 | function [xc,good,bad,type] = cornerfinder(xt,I,wintx,winty,wx2,wy2);
%[xc] = cornerfinder(xt,I);
%
%Finds the sub-pixel corners on the image I with initial guess xt
%xt and xc are 2xN matrices. The first component is the x coordinate
%(horizontal) and the second component is the y coordinate (vertical)
%
%Based on H... |
75ac0931a6ff13b9cb986e78504e220c0a658fbc86d1b0b0273d024e60564acb | MATLAB | 4,999 | 129 | function update_epochs(varargin)
% update_epochs will add epochs to basename.session file using
% digitalin.events.mat file.
% input:
% basepath: path to session folder
% acquisition_event_flag: True if digitalin.events contain start and end
% epcohs for whole session (i.e. start, start, end, end for start
% s... |
5fd9cf50ed52dbe623fcab2589ca162dc41943454fd5cd735a3d40e44cac2db3 | MATLAB | 5,003 | 187 | %% plot_sta_v_x()
%
% Used to evaluate the state-dependent STA;
% Effectively, plot a A(t) signal by x(s);
% INPUT:
% at0 = Pre-spike Signal Amplitude [N_X0PTS x N_OBS Array]
% at1 = Post-spike Signal Amplitude [N_X1PTS x N_OBS Array]
% xs = State-at-spike [1 x N_OBS] Vector
% - If xs is no... |
0b8bf03b3358c1e0115822ac9bb11cbe9b99a427e5873ffabaaa3b70f633d316 | MATLAB | 5,005 | 132 | function lickRateTimeCourse = estimateLickRate(clickArray, afterLastClick, lickTimes, params, method)
% This function estimate the lick rate time course for each click from the
% lick events following that click. There are four ways to estimate this
% rate time course: (1) ordinary binning with a fixed bin size, (2) bi... |
40d905ee2e992f15d7bb2853256e90e50e1a72ac39151c5fa9f021cf08224608 | MATLAB | 5,005 | 184 | function [pX,gX,pY,gY,X,Y,U] = VBA_MCMC_predictiveDensity_fb(f_fname,g_fname,u,n_t,options,dim,fb,N,np,lx,ly)
% prior predictive density under sDCM generative model (MCMC)
% function [pX,gX,pY,gY,X,Y] =
% VBA_MCMC_predictiveDensity(f_fname,g_fname,u,n_t,options,dim,N,np)
% IN:
% - f_fname: name/handle of the evoluti... |
69c32f7910e3d0b429ecc8860e7f73675b92864586c24dced95f965915be6d6b | MATLAB | 5,005 | 193 | %mmf writer
function [keyframes,nframes]=mmfwritertrans(inputfile,outputfile,obj,firstframe,lastframe)
%obj=VideoReader(inputfile);
foutput=fopen(outputfile,'wb');
%load text
ftexto=fopen('/groups/visitors/home/albam/Desktop/mmfreader/text.text');
texto=[];
for i=1:15
linea=fgets(ftexto);
texto=[texto linea];
end
%w... |
798a0a656723058710db22ab99841cba9269419e7f9699a59680150c39d46d9f | MATLAB | 5,005 | 117 | function drawFixation(d, colIndex)
%
% drawFixation(display, [colIndex=1])
%
% Draws the fixation point specified in the display struct.
%
% HISTORY:
% 2005.02.23 RFD: wrote it.
% 2005.06.29 SOD: added colIndex for fixation dot task
% added largeCrosses options
% 2008.05.11 JW: added 'dot and 'none' op... |
31ed2fc908bc28a4da4538d117e7c5aeccb90d5dd6956133fc04f97539943e8e | MATLAB | 5,006 | 144 |
function FitOutput=Zach2DGaussianFit(S,InitialParams,InterpMethod,FitOrientation,FigDisplay)
FitOutput=[];
% 1. 2D Gaussian function ( A requires 5 coefs ).
g = @(A,X) A(1)*exp( -((X(:,:,1)-A(2)).^2/(2*A(3)^2) + (X(:,:,2)-A(4)).^2/(2*A(5)^2)) );
% 2. 2D Rotated Gaussian function ( A requires 6... |
439d952e2c2cba99b49264130b601eb14f91da74795aa444d680a34f37395df3 | MATLAB | 5,006 | 129 | function [headmodel, sens, cfg] = prepare_headmodel(cfg, data)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SUBFUNCTION that helps to prepare the electrodes/gradiometers and the
% volume conduction model. This is used in sourceanalysis and dipolefitting.
%
% This function will get t... |
61026fb5c47a1154a5323d4631b28dbb6046b484c2df51e88a8611f2db58dfc9 | MATLAB | 5,006 | 112 | function scored_replay = ground_truth_replay_scoring(data,analysis_type)
%scores replay events using several measures- line fitting, weighted
%correlation, "pac-man" path finding, and spearman correlation coefficient.
%modify_decoding.m subroutine is run to zero probability if no spikes from
%good place fields occur du... |
6e4be622a2dc1674b3b979d425c1722381c66034c23230603b28b89518a19252 | MATLAB | 5,008 | 154 | function gitInfo=getGitInfo()
% Get information about the Git repository in the current directory, including:
% - branch name of the current Git Repo
% -Git SHA1 HASH of the most recent commit
% -url of corresponding remote repository, if one exists
%
% The function first checks to see if a... |
9395f44f4dbab61daef968f667535acb3e7a41d40fbb656769d64831496e8368 | MATLAB | 5,008 | 87 | % GEN_MASS_MATRIX_FD_CPU Builds sparse matrix representation of time-invariant
% diffusion transport equation within FEM mesh in 2D (triangles) or 3D
% (tetrahedrons). Parallelized for multithreading with OpenMP. Uses all
% available CPU power.
%
% SYNTAX:
% [I_INDEX, J_INDEX, S_VALUE] = GEN_MASS_MATRIX_FD_CPU... |
d9cc54edf1041c287f47bedd8a3ad284967b76d0f8797c192e49f63c39b314de | MATLAB | 5,008 | 124 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef StimulationEvent < EventTag
%STIMULATIONEVENT Event data that corresponds to a tagged stimulation
%that occurred in the file
properties (GetAccess = public, Constant = true)
... |
dc3b712261e80fae1dea2703a08114c557e3c42472f2937ea6af09066e81a41c | MATLAB | 5,010 | 139 | function write_brainvision_eeg(filename, hdr, dat, event)
% WRITE_BRAINVISION_EEG exports continuous EEG data to a BrainVision *.eeg
% and corresponding *.vhdr file. The samples in the exported file are
% multiplexed and stored in ieee-le float32 format.
%
% Use as
% write_brainvision_eeg(filename, hdr, dat, evt)
%
... |
37f7352e88d963f6ab7a25e614a005e3f19c941839a5edf1fb785a54ee2ed5b5 | MATLAB | 5,012 | 170 | % Description:
% This script processes and compares muscle activations from individual muscles and their equivalent muscles with EMG data.
clear;
clc;
% Load necessary data files
load('Activations.mat');
load('Activations_9Groups.mat');
load('MotionData.mat');
% Define muscle names from EMG data
MuscleNames_EMGs = ... |
6e13dff5f1f2a1beac8bd3b924e55d29a27786ca9902cdcc01cff058ec8a1671 | MATLAB | 5,013 | 134 | function displayID = openScreen(displayID, hideCursorFlag)
% openScreen - open screen for psychtoolbox
%
% Usage: displayID = openScreen(displayID, [hideCursorFlag=true])
%
% openScreen takes a displayID structure (e.g., from running
% loadDisplayParams), and does the following:
% 1. opens a PTB window with a backgro... |
9271f1242504e808c2f41a68a83d02e6a5a94d4973d45ff22e55ad1a8e124883 | MATLAB | 5,013 | 142 | %% GCCA_tsdata_to_pwcgc
%
% Calculate pairwise-conditional time-domain MVGCs (multivariate Granger
% causality) from time series data by "traditional" method (as e.g. in GCCA
% toolbox)
%
% <matlab:open('GCCA_tsdata_to_pwcgc.m') code>
%
%% Syntax
%
% [F,A,SIG,E] = GCCA_tsdata_to_pwcgc(X,p,regmode)
%
%% Arguments
%
... |
c5fb0f06b86bff5eb159783b6c2be46c9994ed9429b9afcf005b147306202a51 | MATLAB | 5,013 | 176 | function [IND, D, RD] = nearestpoint(x,y,m)
% NEARESTPOINT - find the nearest value in another vector
%
% IND = NEARESTPOINT(X,Y) finds the value in Y which is the closest to
% each value in X, so that abs(Xi-Yk) => abs(Xi-Yj) when k is not equal to j.
% IND contains the indices of each of these points.
%... |
a64ba9702b3ceff5fab1595779614d7c67a3e6aec7e72d991a396ac1a09dabba | MATLAB | 5,014 | 148 | function [grid] = patchsvd(cfg, grid)
% This function does something
% cf. Limpiti et al IEEE trans biomed eng 2006;53(9);1740-54
% Copyright (c) 2006, Jan-Mathijs Schoffelen & Robert Oostenveld, F.C. Donders Centre
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and de... |
0888188b01fa2cbcd9282a970f4f725fd14578362b3ca3f8c2cf614c12651c26 | MATLAB | 5,016 | 175 | % Before detection, have a look at the pupil image and find the pupil/reference area manually.
close all; clear all; clc;
%load the movie
date='0111';
enum='E19';
vd=['D:/22/U19_09022022/scale/video/',date,'2023dummmy=40_',enum,'.avi'];
rotate=30;
v = VideoReader(vd);
f=[];frame=[];
for i=1:10*40
f = ... |
5d94299872c4c7ec6dd5c9e3a66d58089c3f5c9fa2a0538162ed6ba6f8457860 | MATLAB | 5,017 | 134 | %EPS2PDF Convert an eps file to pdf format using ghostscript
%
% Examples:
% eps2pdf source dest
% eps2pdf(source, dest, crop)
% eps2pdf(source, dest, crop, append)
% eps2pdf(source, dest, crop, append, gray)
% eps2pdf(source, dest, crop, append, gray, quality)
%
% This function converts an eps file to pdf f... |
f42bdfe376049c18cf93686d0896293506a86975dac0ac7ac7a422259cdba554 | MATLAB | 5,017 | 177 | % Compute the When-decoder
%% Adaptend from AZ 2022
global par_sess
ndatasets = length(par_sess);
plot_figs = 0;
names = {'all','Tin','Tout','Min_C','Min_i','allButTin','allButTinOut'};
AUC = nan(ndatasets, length(names));
clear allWhenDs
for sess = 1 : ndatasets
disp(num2str(sess))
par = par_sess... |
f85c729a8a7f2adf0e3b6e6b59faec42a2425973c9aacd058f712b01ef81c97c | MATLAB | 5,019 | 98 | % GET_FIELD_TR_CPU Solves time derivative of sparse system of linear
% equations using trapezoidal Clark-Nicholson integration method in the
% time dimension and BiCGStab solver with FSAI preconditioning to solve at
% derivative steps. Parallelized for multithreading with OpenMP. Uses all
% available CPU power.... |
8b26e510f3b6816c99b0573ae43f54d9ab60314c9502d363c2528fbed2c280ec | MATLAB | 5,020 | 112 | function [lambdas,as,scales,fs] = chnsScaling( pChns, Is, show )
% Compute lambdas for channel power law scaling.
%
% For a broad family of features, including gradient histograms and all
% channel types tested, the feature responses computed at a single scale
% can be used to approximate feature responses at nearby sc... |
450758dbdd7c1d044da3ffbe5a0ea8790a99e89146f0062e87564ba8ba7c0430 | MATLAB | 5,023 | 133 | %% HMMs and the occasionally Dishonest Casino
% This is an example from 'Biological Sequence Analysis:
% Probabilistic Models Proteins and Nucleic Acids' by Durbin, Eddy, Krogh, &
% Mitchison, (1998) p54.
%% Description
% Suppose a casino uses a fair die most of the time but occasionally
% switches to and from a loade... |
9183766c9a09efce70c7586743e0b1b99d28f7441d718dcca02e31f9dddde05c | MATLAB | 5,025 | 150 | function spkDat = ReloadWaves2(spkDat, trodeFile, varargin)
[wL, nChan, nSpk] = size(spkDat.waves);
pk = double(spkDat.peakLoc);
wP = double(spkDat.wavePad);
wL = wL - 2*wP;
upsample = spkDat.upsample;
batchSize = 32768;
verbose = true;
whiten = false;
alignWin = spkDat.alignWin;
% convert wave parameters to ms
wL = 1... |
b945fecce4bc9650fbdf5ae2835a0dcbb7ecc156a743bae0c766a6affcb9758f | MATLAB | 5,025 | 119 | function CBIG_RF_compute_surf2vol_avgMapping(sub_list, input_dir, input_prefix, output_dir, output_prefix)
% CBIG_RF_compute_surf2vol_avgMapping(sub_list, input_dir, input_prefix, output_dir, output_prefix)
%
% This function computes surface-to-volume avgerage mapping of x/y/z index
% across a given list of subjects.
... |
e001e977ebbc285f73bef045e0bfeb22d2dfbff3b490812ecd13847b483c8542 | MATLAB | 5,026 | 114 | function [ANCOVA_F,Header] = y_ANCOVA1_Image(DependentDirs,OutputName,MaskFile,CovariateDirs,OtherCovariates,PALMSettings)
% [ANCOVA_F,Header] = y_ANCOVA1_Image(DependentDirs,OutputName,MaskFile,CovariateDirs,OtherCovariates,PALMSettings)
% Perform one-way ANOVA or ANCOVA analysis on Images
% Input:
% DependentDi... |
12276d918331ae8a82e62be7a6359467fc4f747193e5fc16b605041864c0c08e | MATLAB | 5,028 | 132 | function [s, cfg] = ft_statfun_depsamplesregrT(cfg, dat, design)
% FT_STATFUN_DEPSAMPLESREGRT calculates dependent samples regression T-statistic on
% the biological data in dat (the dependent variable), using the information on the
% independent variable (ivar) in design.
%
% Use this function by calling one of the h... |
c673343e81ffa3d30afe7218e54b8e72431ce7f5d105141ba8b5f6ade4d6f2ab | MATLAB | 5,030 | 182 | function [bestModel, w, gamma] = ARDwipf(X, y, varargin)
% [bestModel, w] = ARDwipf(X, y, varargin)
% Automatic relevance determination, written by David Wipf
% lambda - measurement precision (default: inferred from lars residuals)
% maxIter - defautl 100
% method - default: mackay's method (see comments in code)
% ver... |
215a9d7ba37b3cd41b956238baed94d9ca8d3d315b047f5235f11e8f39623f33 | MATLAB | 5,031 | 174 | function [FC_simR, CC_check] = CBIG_MFMem_rfMRI_nsolver_eul_sto_resLH(parameter,SC,y_FC,FC_mask,Nstate,Tepochlong,TBOLD,ifHighres)
%-----------------------------------------------------------------------------
% [FC_simR, CC_check] = CBIG_MFMem_rfMRI_nsolver_eul_sto_resLH(parameter,SC,y_FC,FC_mask,Nstate,Tepochlong,TB... |
7006dbf45f5c0c25e6e0f054def3527cf70c915c9021e21b0cb3563dc9b72c69 | MATLAB | 5,035 | 139 | function spkDat = LoadNexWaves(nexFile, trodeFile, varargin)
wL = 1.6; % wavelength, in ms
pk = 0.7; % peak location, in ms
wP = 0.35; % wavePad, in ms
alignWin = [-0.7 0.7]; % alignWin, in ms (not used much at this juncture)
upsample = 2; % upsampling ratio
batchSiz... |
4ef8030a404455e3a41d2d5e643f77d61b550a43df89baf794294dd47ea685ef | MATLAB | 5,037 | 174 | %%% INPUT THE IMAGE FILE NAME:
if ~exist('fc')|~exist('cc')|~exist('kc')|~exist('alpha_c')
fprintf(1,'No intrinsic camera parameters available.\n');
return
end
KK = [fc(1) alpha_c*fc(1) cc(1);0 fc(2) cc(2) ; 0 0 1];
disp('Program that corrects distorted images');
disp('The intrinsic camera parameters are ass... |
9dd79196e7c1374c1c34f47105f5e5df31a00d670bc49995863c0995329a2c52 | MATLAB | 5,038 | 172 | function [tfr,rtfr,hat] = tfrrgab(x,t,N,Nh,trace,K);
%TFRRGAB Reassigned Gabor spectrogram time-frequency distribution.
% [TFR,RTFR,HAT] = TFRRGAB(X,T,N,NH,TRACE,K)
% computes the Gabor spectrogram and its reassigned version.
% This particular window (a Gaussian window) allows a 20 % faster
% algorithm than the TFRRSP... |
02c75e6e9cd28e85be922f36cc08cf3844f4339d9d9a8be0eda7329e1244f331 | MATLAB | 5,039 | 100 | %% Description
% This example illustrates simulation of refraction and reflection
% according to Fresnel's equations. This requires the matchedInterfaces flag
% to be set to false. The geometry consists of three layers: At the bottom
% is a reflector such as metal (n = infinity), at the top is air (n = 1)
% and in betw... |
f19cca31d2e3fcb162f9274b80b4351980fac6f524d7c1d963e15ca2f402bebd | MATLAB | 5,039 | 126 | %% Compares the relative beta/gamma and theta/gamma powers in the early and late windows
% also gives a spectrogram for a representative channel
%% setup
clear;clc
dataPaths{1} = 'D:\InVivo\S1-Baclofen\2022-04-19_Baclofen\3-baseline';
dataPaths{2} = 'D:\InVivo\S1-Baclofen\2022-04-21_Baclofen-Attempt\1-baselin... |
e5f72e7e6a4cc09b3d7a58a2f8c969a8c3c11e54d83c5892e72e34c47700386c | MATLAB | 5,040 | 150 | function [dipout] = residualvariance(dip, grad, headmodel, dat, varargin)
% RESIDUALVARIANCE scan with a single dipole and computes the RV
% at each grid location.
%
% Use as
% [dipout] = residualvariance(dip, grad, headmodel, dat, ...)
% Copyright (C) 2004-2006, Robert Oostenveld
%
% This file is part of FieldTrip... |
50c87f4173bd1514d389329277dd889f9097d77f6cb402f1e8332be302dbc782 | MATLAB | 5,041 | 186 | %%
SELECTEDFRAMES = '/groups/branson/bransonlab/apt/experiments/data/SelectedGTFrames_SJH_20180603.mat';
sel = load(SELECTEDFRAMES);
t = sel.frames2label;
%%
FLY2CALIB = '/groups/branson/bransonlab/apt/experiments/data/fly2DLT_lookupTableAL.csv';
fly2cal = readtable(FLY2CALIB);
[tf,loc] = ismember(t.flyID,fly2cal.fly)... |
f551557aaa24e2bf3be6f91b06f724d920f82926df163b764e6348753533c3f1 | MATLAB | 5,041 | 169 | % DELCODE-SAME, Figure "FADE SAME corrs"
% _
% original paper: Soch*, Richter* et al., HBM, 2022
% Figure 4: Correlations with independent variables, separated by age group
%
% DELCODE paper: Soch et al., medRxiv, 2023
% Figure 3: Partial correlations of FADE and SAME scores with other indices of cognitive aging
%
% ... |
0bda9f0ac5cab5971ccf10c9798a9d907b686cc3d53273f73aa7746e72a98af5 | MATLAB | 5,042 | 70 | clear;clc;close all
ROOTPATH = strcat(NoveltySU.utils.getRootDirPath(mfilename("fullpath"), 4), "Data\Processed Data\");
cd(NoveltySU.utils.getRootDirPath(mfilename("fullpath"), 2))
protStr = "Active duration";
temp = NoveltySU.utils.dirItem(strcat(ROOTPATH, protStr), "spkData.mat");
popRes = cell2mat(cellfun(@(x)... |
f6f4d97b7977bcd8651c8347c82538f0efaf87f660ef7d1389e4bdbf40f957bb | MATLAB | 5,042 | 167 | % CompareBetaPerToi
%% get cnv
load('TrioEEGBehAnalysis.mat','trialTab','varNames');
nVars=3;
vNames = {'velocity','RT','distractor pull'};
load('trioEEGAnalyseByTrials_readyBS.mat','meanAmplTrialsPost','meanAmplTrials','eegByCond','xTimes')
trialTab.CNV = nanzscore(col(meanAmplTrialsPost(:,:,:,:,30,:)));
trialTab.P... |
c4314105790a13543431093fad1b2bd85c82cd10a8889a0f2432e979b4e12c7d | MATLAB | 5,043 | 137 | function hs = ft_plot_headshape(headshape,varargin)
% FT_PLOT_HEADSHAPE visualizes the shape of a head from a variety of
% acquisition system. Usually the head shape is measured with a
% Polhemus tracker and some proprietary software (e.g. from CTF, BTi
% or Yokogawa). The headshape and fiducials can be used for coreg... |
0762a01d0ffd507f0847d368e37bfd79544a2c679779c43b5994c7a5346a8811 | MATLAB | 5,046 | 160 | clear;
clc;
do_save_fig= 0;
code_dir= fileparts(pwd);
addpath(code_dir)
%% with actual trajectory
fs= 20e3;
stimdur= 1;
stimlen= round(fs*stimdur);
dam_f_start= 2^4;
dam_f_end= 2^10.25;
fc= 3e3;
mod_depth= 1;
tStim= (1:stimlen)/stimlen*stimdur;
dam_traj_Hz= 2.^linspace(log2(dam_f_start), log2(dam_f_end), stimlen);... |
10d84b8114dcdbf991497ceb7e8a38d99ac79aad820b60b564fc628770d93a4b | MATLAB | 5,046 | 122 | function [data, info] = get_field_FD_bicgstab_matlab(i_index, j_index, value, qvec, OPTIONS)
% GET_FIELD_FD_BICGSTAB_MATLAB Solves sparse system of linear equations using
% MATLAB implementation of BiCGStab solver and incomplete LU or Cholesky
% factorisations for preconditioning.
%
% SYNTAX:
% [PHI] = GET_FIELD... |
635f78cf7f2ae3b7c73cb2a91cecef25d6e921f78282f28c708e584265993d13 | MATLAB | 5,046 | 150 | function [dipout] = residualvariance(dip, grad, headmodel, dat, varargin)
% RESIDUALVARIANCE scan with a single dipole and computes the RV
% at each grid location.
%
% Use as
% [dipout] = residualvariance(dip, grad, headmodel, dat, ...)
% Copyright (C) 2004-2006, Robert Oostenveld
%
% This file is part of FieldTrip... |
6eb69c1d077c318e6e3ebe550f3e0170aa93023b517ce5abb4e12dad3feae504 | MATLAB | 5,048 | 112 | function [TTest1_T,Header] = y_TTest1_Image(DependentDirs,OutputName,MaskFile,CovariateDirs,OtherCovariates,Base,PALMSettings)
% [TTest1_T,Header] = y_TTest1_Image(DependentDirs,OutputName,MaskFile,CovariateDirs,OtherCovariates,Base,PALMSettings)
% Perform one sample t test.
% Input:
% DependentDirs - the image... |
1efbfd2fedceaa3d8ebe55f2cc6ed39a88ebf4b8f12432bbcac942cd8adc3e1b | MATLAB | 5,051 | 165 | function s = saveJSONfile(data, jsonFileName)
% saves the values in the structure 'data' to a file in JSON format.
%
% Example:
% data.name = 'chair';
% data.color = 'pink';
% data.metrics.height = 0.3;
% data.metrics.width = 1.3;
% saveJSONfile(data, 'out.json');
%
% Output 'out.json':
% {
% "name... |
3a17a88f09d9b16680364a9725714e11e90205c58dadcc147e1fdafa02a13331 | MATLAB | 5,053 | 179 | %% File location, image size, if MIP
u.filename="C:\SAA\w4_stk1\annotations.h5";
u.x_pixels=512;
u.y_pixels=512;
u.z_range=5;
% Choose whether to perform on MIP or normal image stack.
u.MIP_flag=true;
if u.MIP_flag
u.z_range=1;
end
%% Configure image stack
% resize(binning) or not
% ISG=resize_image_stack(imgs... |
9abd16711e79784434db20cd2c4d5f049df11289728637089edfc9d8f892cb67 | MATLAB | 5,053 | 190 | function [phi_G, Cov_E_p, A_p] = phi_G_Gauss_LBFGS( Cov_X, Cov_E, A, Z, normalization )
% Calculate integrated information "phi_G" based on information geometry
% with a combination of an interative method and a quasi-Newton (LBFGS) method.
%
% See Oizumi et al., 2016, PNAS for the details of phi_G
% http://www.pnas... |
ea6d2bbeb48a071cfe9a4fcc280a9b21624d1aa38a04525e85e986366980d4cd | MATLAB | 5,054 | 177 | % pop_fmrib_qrsdetect() - GUI for fmrib_qrsdetect:
% Detect QRS events from ECG channel and add them to
% EEGLAB data event structure.
%
% Usage:
% >> [EEGOUT, COM] = pop_fmrib_qrsdetec(EEG) % for gui
% or >> [EEGOUT, COM] = pop_fmrib_qrsdetec(EEG,ecgchan,'ename','yes')
% for command line. 'no' or 'yes' can be... |
024d3e733182711d74937f1312ef3786ebcabcee1603cf764dcc7c673fc720f9 | MATLAB | 5,057 | 130 | function oimg = loadtiff(path)
% Copyright (c) 2012, YoonOh Tak
% All rights reserved.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are
% met:
%
% * Redistributions of source code must retain the above copyrig... |
a33a60615003a9a98b6252533d704d89f35ba39b485520204cb5884b5761aeac | MATLAB | 5,057 | 183 |
% cmps={[1 2],[1 3],[2 3],[ 1 2 3],1,2,3};
%%
FigHandels=[];
MeasName='gdP';
% MeasName='gR2';
Labels={'Pinch' 'Press' 'Rub' 'Tap'};
condName='FcFsOc';
L={'FcFs','FcOc','FsOc','FcFsOc','Fc','Fs','Oc'};
% condName='FcFsOs';
% L={'FcFs','FcOs','FsOs','FcFsOs','Fc','Fs','Os'};
% condName='... |
4440f319565c1b6a56beed7e995b6b632e9ba24fb9f543ae27348ac6a28b2ab1 | MATLAB | 5,058 | 137 | function [dipout] = music(dip, grad, headmodel, dat, varargin)
% MUSIC source localization using MUltiple SIgnal Classification
%
% This is a signal subspace method, which covers the techniques for
% multiple source localization by using the eigen structure of the
% measured data matrix.
%
% Use as
% [dipout] = musi... |
b807146d63a7d7677009112c3c45a9fe5568aac45f2ba3c78faf7794d22c6aad | MATLAB | 5,059 | 178 | function [varargout] = ie_fmm3dbie_ss_paper_final_ex(igeomtype,iref,npu,norder,ndir,zk)
% IE_SPHERE An example usage of strong skeletonization, solving a
% second-kind integral equation (Helmholtz combined field potential) on a
% wiggly torus
%
% - OCC: The occupancy parameter, specifying the maximum numbe... |
020b3c01278eeea201e9e9ca39093e5cd49b09bae2c7427b30ab83444dd67d09 | MATLAB | 5,060 | 152 | function varargout = loadxml(filename,varargin)
%LOADXML Load workspace variables from disk (XML file).
% LOADXML FILENAME retrieves all variables from a file given a full
% pathname or a MATLABPATH relative partial pathname (see PARTIALPATH).
% If FILENAME has no extension LOAD looks for FILENAME and FILENAME.xml ... |
7514a9b6cd1a972f7a551c307991c9756d2269a7eb2473fc9b4fb93df1c4dc27 | MATLAB | 5,060 | 109 | function [v,v_unit,v_norm,v_norm_std,r0] = calc_mouse_estimate_vector(sites,simParam,nbootstrap_samples,rescale_to_target_distance,start_site,target_site,calc_significant_path_args)
% calculates the estimate of food position given by the sites step probability lattice struct
% the mouse estimate v is anchored at the re... |
844319abf9d6371e2229394103c5bb553ff97ba49bba3e7cff284dfc2f02ec7d | MATLAB | 5,062 | 139 | function [cROIs, Cs, coherence, skew, sz] = DNMF_General3(V, options)
% [cROIs, Cs, coherence, skew, sz] = DNMF_General3(V, options)
%Extract options
thr = options.thr;
patchSize = options.patchSize;
stride = options.stride;
overlapThr = options.overlapThr;
sizeRange = options.sizeRange... |
e7c8a1ed9bf14c9601f124095908e921a8fd8d9dc2024df9617f20500473cd10 | MATLAB | 5,062 | 163 | function [suffStat,posterior] = VBA_check_errors(y,u,options)
% dummy diagnostic of model specification
[suffStat] = VBA_getSuffStat(options,[],0);
dim = options.dim;
posterior = options.priors;
posterior.muX = sparse(0,dim.n_t);
% watch out about display setting
options.DisplayWin = 0;
if ~options.OnLine && options.... |
2ebe8ee21de2170ae70bcc3b6ec53f1bd1022d38a204f913f146387de8a2e12c | MATLAB | 5,064 | 137 | function [dipout] = music(dip, grad, headmodel, dat, varargin)
% MUSIC source localization using MUltiple SIgnal Classification
%
% This is a signal subspace method, which covers the techniques for
% multiple source localization by using the eigen structure of the
% measured data matrix.
%
% Use as
% [dipout] = musi... |
138b2bb23e2d472f2e892de232fd76e12c13a6f5e0ed2f3d35f6550de0199943 | MATLAB | 5,065 | 122 | function Step4d_CFC(config, pid, visitnum)
%
% Step4d_CFC is a cross-frequency coupling function that calculates the
% mean vector length (a phase amplitude coupling measure) between regions.
%
% INPUTS:
% > config:
% struct, configured in your "main" script with all analysis parameters
% and paths. S... |
5e2bd14861e27f9e62e7a04a8207126616bf099940e66240a9e643659ba3e73d | MATLAB | 5,066 | 171 | function ie_fmm3dbie_sqrtscaling_plane(iref)
% IE_SPHERE An example usage of strong skeletonization, solving a
% second-kind integral equation (Helmholtz combined field potential) on a
% wiggly torus
%
% - OCC: The occupancy parameter, specifying the maximum number of
% points a node in the... |
b631742b85340237d32c90a261221619d15c6a5e16d2c4af7deb8f66457839ba | MATLAB | 5,067 | 166 | datRoot = '/Volumes/LaCie/Farries recordings/';
rat = 'IM1056';
sesList = dir([datRoot rat '/20*']);
sesList = arrayfun(@(x) x.name, sesList, 'UniformOutput', false)
iSes = [3];
sesDir = [datRoot rat filesep sesList{iSes} filesep]
ratDir = [datRoot rat];
cal = Calibrate(ratDir);
sesList = dir([ratDir '/20*']);
sesList... |
be663ad30fe4eea3e546e7a0e25d7478ae4a55cc2de9b2cc393860d1dc7d3e26 | MATLAB | 5,067 | 181 | function [mix, options, errlog, post] = gmmem(mix, x, options)
%GMMEM EM algorithm for Gaussian mixture model.
%
% Description
% [MIX, OPTIONS, ERRLOG] = GMMEM(MIX, X, OPTIONS) uses the Expectation
% Maximization algorithm of Dempster et al. to estimate the parameters
% of a Gaussian mixture model defined by a data str... |
0891f3419dae1f84c41bc187a662d666580f603245d08de77d2ecdb13b4595cb | MATLAB | 5,068 | 143 | datRoot = '/Volumes/Seagate Backup Plus Drive/Recordings/';
rat = 'IM1261';
sesList = dir([datRoot rat '/20*']);
sesList = arrayfun(@(x) x.name, sesList, 'UniformOutput', false);
sorted = cellfun(@(s) exist([datRoot rat filesep s filesep 'unitDat.mat'], 'file') == 2, sesList);
sesList = sesList(sorted);
for i = 1:lengt... |
b12a18e738471a8b85a3eee788996e4314a199c7ea2566272237e349a523cfea | MATLAB | 5,070 | 141 | % Five-point stencil on the unit square, constant-coefficient Poisson equation,
% Dirichlet boundary conditions.
%
% This is the same as FD_SQUARE1 but using MFX.
%
% Inputs (defaults are used if not provided or set empty):
%
% - N: number of points + 1 in each dimension (default: N = 128)
% - OCC: tree occupancy p... |
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