sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
495ddbd3afcc7b46593124cbc2f42fb5cf14485dc0d58b083d7787f666da984c | MATLAB | 1,781 | 61 |
%% Global Default Options
GlobalOpts.Subject='p1';%'p1','p3';
GlobalOpts.TaskName='FaceScratch3'; % used for folders and file names
GlobalOpts.TaskFileName='FaceScratch3'; % To use with LoadConvertedData
% Analyses phases and windows for trial response and temporally resovled
% response (TR)
GlobalOpts.Pha... |
cd0c2ec8f35b5bf8d79cc7e0d83189b1b88aa393e8953c3f0fc574b53d2f7993 | MATLAB | 1,781 | 97 | function [indmin, indmax, indzer] = func_extr(x,t)
% [indmin, indmax, indzer] = EXTR(x,t) finds extrema and zero-crossings
%
% inputs : - x : analyzed signal
% - t (optional) : sampling times, default 1:length(x)
%
% outputs : - indmin = indices of minima
% - indmax = indices of maxima
% -... |
6644c869409cda735288c75a6506b9273639596b875db334ceef1e38195129e9 | MATLAB | 1,782 | 49 | function [PP] = VBA_PP0(posterior,out)
% derives the posterior probability P(param==0|y)
% function [PP] = VBA_PP0(posterior,out)
% The posterior probability P(param==0|y) is derived from a Bayesian model
% comparison between the original (full) model and a reduced model that
% assumes a priori P(param==0)=1. Note: thi... |
772d0eafa6209b64d14df21e43ea9f0076182f19bf937606c829ace26d15807c | MATLAB | 1,782 | 47 | function v = env_distances(v)
SquareWallVectors = [v.env.dx_sq,0, -v.env.dx_sq,0; 0,v.env.dy_sq, 0,-v.env.dy_sq];
SquareWallStart = [0,v.env.dx_sq,v.env.dx_sq,0; 0,0,v.env.dy_sq,v.env.dy_sq];
Interval = 1.0;
SquareXYmax = max(SquareWallStart');
SquareXYmin = min(SquareWallStart');
[SquareSpaceX,SquareSpaceY] = meshg... |
918b17c99aa2b5e72a34ef643b62e64144182ac858413a240198b8f60d1f3720 | MATLAB | 1,782 | 54 | function fcBx_PercFC_Scat2(pairsOut,IM)
% This function creates a scatter plot of the proportion of positive fcMRI
% values against fcBx correlation from the output of
% pairsOut=View_Clear_Brain_ROI_Corr2a.
% tp is the time point of interest (set to 1 if only 1)
% IM is the infomap structure.
%% Parameters... |
d259cacc8037683129a458eb24260df21c3108fdc2ca062dbf8f631d8bef0611 | MATLAB | 1,782 | 62 | % HIFIE_IDX Compression function for HIFIE2X and HIFIE3X.
function [sk,rd,T] = hifie_idx(K,K1,K2,rank_or_tol,Tmax,rrqr_iter)
n = size(K,2);
% scale compression tolerance
ratio = 1;
if rank_or_tol < 1 && nnz(K2)
nrm1 = snorm(n,@(x)(K1*x),@(x)(K1'*x));
nrm2 = snorm(n,@(x)(K2*x),@(x)(K2'*x));
ratio ... |
0bf0f3ad4e4ba0db4632c8448908ff16954cc098ba616e1c74b2cdb121f7bc25 | MATLAB | 1,783 | 59 | % Plot bar graphs of mean across session mediation RT only
barCols = {[233 149 53]/255, [76 0 153]/255, [0 153 76]/255, [233 53 149]/255,...
[0 149 233]/255, [76 0 153]/255, [0 153 76]/255, [233 53 149]/255};
Y = [];
labs = [];
cols = [];
d = 0;
for dim2 = medDims
d = d + 1;
Y = [Y XpercMed_adj{... |
3a763df036d66f42de39c58f8fe99b35e4aa0710ecf4e7c447ceb6f6ec045267 | MATLAB | 1,783 | 53 | % this class will give you the option to select the min or max of a
%(usually puffing wcp) trace, or both, in which case it will plot
%each sequentially and ask if you want min or max
function [psp] = get_min_max (output, time, numswps, bs)
correct = false;
psp = zeros (numswps, 1);
last = size(output, 1);
timeint =... |
5ca32309ad74a4821d7fc21ef161ad43f0a2adc12a5b52b6769977ba67572322 | MATLAB | 1,783 | 72 | clear all;
for s=1:180
load(sprintf('results_eff_hopf_fcrev_movie_MOVIE1sub_%03d.mat',s));
DataMOVIE1(s,:)=EffectiveConnectivity(:);
end
for s=1:177
load(sprintf('results_eff_hopf_fcrev_movie_MOVIE4sub_%03d.mat',s));
DataREST2(s,:)=EffectiveConnectivity(:);
end
task_nsubn={180,177};
trainno=167;
val... |
d3acf53a09a11fca963b100e2bd19f7e6518b6bf55accc3dc8f181b09dd003e2 | MATLAB | 1,783 | 78 | % produce fig 5.1 from Rasmussen and Williams book
%PMTKauthor Carl Rasmussen
n = 61^2; D=2;
[x1,x2]=meshgrid(-3:0.1:3,-3:0.1:3);
x=[x1(:),x2(:)];
h = figure(1);
clf
set(gca,'FontSize',24);
randn('seed',37)
Q = zeros(n,n);
for d = 1:D
Q = Q + (repmat(x(:,d),1,n)-repmat(x(:,d)',n,1)).^2;
end
Q = exp(-0.5*Q);
y = ch... |
2b9535e97f8258416955c05ee450ca5373bda06c4af036c8a85462fa8c137a1d | MATLAB | 1,784 | 50 | % OptimizeSubplotNumbers.m
% Sarah West
% 3/18/22
% A small function to determined the optimized subplot dimensions for a
% given number of plots to fit in one figure. Ratio is row:column ratio,
% depending on user's input (optional, default = 2/3).
function [subplot_rows, subplot_columns] = OptimizeSubplotNumbers(n... |
bd373fcfab000a1f8dfdfcda994c73818feec942cd4e033ba16b0468c8f76a48 | MATLAB | 1,784 | 55 | function w_ExtractROITC(ImgFiles, MaskFile, ExtractType, OutputFile)
% Format w_ExtractROITC(ImgFiles, MaskFile, ExtractType, OutputFile)
% Input:
% ImgFiles - ImgFiles, 3D Files' Cell or 4D file
% MaskFile - The absolute path of mask file
% AnonyFlag - 1, Single label in mask; 2, Mul... |
deba0129b43796e083fce1d1a0aed79c438b5b784c0016b59afd267885065f6b | MATLAB | 1,784 | 63 | function HumanOdorRep_sync_axes_limits(figurehandle, axishandles, ylimits,xlimits, ...
do_zero_x, do_zero_y)
%% function HumanOdorRep_sync_axes_limits(figurehandle, axishandles, ylimits,xlimits, ...
%% do_zero_x, do_zero_y)
% takes a figure handle (figurehandle = gcf) ... |
e604a2203c3ee7675b97325329a1aa995c07673b1f714cfb954d9bf9e311305d | MATLAB | 1,784 | 65 | % Add dependencies
addpath('C:\Code\spm12')
nii1 = 'resliced_D1_SCH23390_hc13_kaller.nii';
nii2 = 'resliced_D2_flb457_hc37_smith.nii';
nii3 = 'resliced_D2_raclopride_hc7_alakurtti.nii';
nii4 = 'resliced_DAT_fepe2i_hc6_sasaki.nii';
nii5 = 'resliced_DAT_fpcit_hc174_dukart_spect.nii';
nii6 = 'resliced_FDOPA_fluorodopa_... |
6cf0a7c588a218ad41d8461b44ad8341b03ca354b29ef05020af72af4762a0ed | MATLAB | 1,785 | 68 | %% var_specrad
%
% Calculate VAR spectral radius
%
% <matlab:open('var_specrad.m') code>
%
%% Syntax
%
% rho = var_specrad(A)
% [A,rho]= var_specrad(A,newrho)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% A VAR coefficients matrix
% ... |
9a6cfc9550cf881e1d1c0ba2e9d3d295d8a5a83720df53a38a07eb44422b522b | MATLAB | 1,785 | 78 | function newvec = wlProc_calcDeGlitchedVector(oldvec, maxglitch, maxdrop)
% function newvec = wlProc_calcDeGlitchedVector(oldvec, maxglitch, maxdrop)
%
% This function removes spurious gaps (drop-outs) and brief events (glitches)
% in a one-dimensional logical array. Durations are specified as sample
% counts.
%
% "ol... |
9b6dbf0cc0c585dbf3d1780adf22d486f5991f426df2f2d1b2ec8cc8ac46fe18 | MATLAB | 1,785 | 50 | function [h,hc,hl] = plotEllipse(cRow,cCol,ra,rb,phi,color,nPnts,lw,ls)
% Adds an ellipse to the current plot.
%
% USAGE
% [h,hc,hl] = plotEllipse(cRow,cCol,ra,rb,phi,[color],[nPnts],[lw],[ls])
%
% INPUTS
% cRow - the row location of the center of the ellipse
% cCol - the column location of the center of the e... |
9df32c7e4a45d63a60fc2c1ff885d1d0d688a44394e09a649311f9c85b50870d | MATLAB | 1,786 | 44 | function [p_pos, p_neg, observeddifference, randomdifferences] = permutationTest(sample1, sample2, permutations, varargin)
% parsing input
p = inputParser;
addRequired(p, 'sample1', @isnumeric);
addRequired(p, 'sample2', @isnumeric);
addRequired(p, 'permutations', @isnumeric);
addParamValue(p, 'sidedness', 'both', @... |
b2bd1eeee72cf3e8c8043acdadc50caec9b4f74c1b80bdd1ba87d84c40eaacc6 | MATLAB | 1,787 | 55 | function Images = load_flatten_filter(parentfolder,folders,normalization,maxes,savename,subtractmean)
for fidx = 1:length(folders)%loop through all folders
fnames = dir([parentfolder folders{fidx} filesep '*.tif']);
Iflat = [];
for imidx = 1:length(fnames) %loop through all files
fname = fnames(imi... |
d5f4def037c1af3133a9a239851a370916a992348b48996453ddca8085678789 | MATLAB | 1,787 | 75 | %clear all
%close all
clear
Nz=size(raw_traces,2);
NCell=size(raw_traces,1);
Tr=zeros(NCell,Nz);
for i=1:NCell
Tr(i,:)=raw_traces(i,:)/median(raw_traces(i,:));
end
%load('Speed');
%%
[NCell,Nt]=size(Tr);
dt=200;
[M4,PCout] = step1_PCA(GaussBlur1d(Tr,Nt/20,2),10);
P=PCout.pc_TimeCourse';
%%
SigRef=diff(P(1,:));
% ... |
2a3bf19de1c4238de1303e854fdb63ba7e43f13730cc019fb5f2c83470adb544 | MATLAB | 1,788 | 50 | function yidx = pointMatch(X, Y)
% find vertex closest point in Y for each point in X
%
% yidx = pointMatch(X, Y)
%
% X: Nx3 or Nx2 matrix of positions
% Y: Mx3 or Nx2 matrix of positions
%
% yidx: Nx1 matrix of indices into Y
%--------------------------------------------... |
2d66ea60bb315fbcca91755b2bc39d1e54ec366addf84771b17b53607991bcb0 | MATLAB | 1,788 | 60 | function gfdata = getframe_initialize(haxes)
inputType = getInputType(haxes);
if strcmp(inputType,'figure'),
hfig = haxes;
haxes = get(hfig,'children');
if length(haxes) > 1,
haxes = hfig;
%error('Figure has multiple children, please input handle of axes instead of figure');
end
else
hfig = g... |
23acb2454f577b1546b603a81a4f4ad92f321fdc143d8c5508d4f6518fd0b790 | MATLAB | 1,791 | 48 | % DetermineChannel.m
% Sarah West
% 8/25/21
% Takes two images (must be 2 sequential images from a 2-channel
% recording and determines which belongs to which channel depending on the
% brightness in a region of interest over the brain.
% blue_brighter -- a boolean. Is true if the blue channel is expected to be
% br... |
c18e92117e48d5e6989cdd49035adffd8c54bf05ec81f80d27efd8e4f2184820 | MATLAB | 1,791 | 84 |
% _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% this function gets called every time the mouse is clicked
function mouseCallback(self,~,~)
i... |
139af9e521a7c8077090d94d08edad0de63ae8dca05db901c08a3f24fbeb7b54 | MATLAB | 1,792 | 70 | %% pxTools_KLDiv
%
% Calculate the Kullback Leibler Divergence (KLD) between two input
% distributions (Using Log2, which estimates the bits)
%
% varargin can be one input which determines the dimensions that form
% distributions, other dimensions are just pointing to different
% distributions in p1 and p2
% if I don'... |
42b3b5956c8d505d32b5f85299b56faae7b78f9209177f4884e15e781d782ac2 | MATLAB | 1,792 | 56 | function contrastFixation(display, stimulus, frame)
% Generates new dot fixation; called in 'showScanStimulus'
%7 = green; 6 = red;
% pixelsPerDegree = 1/d.pixelSize;
pixelsPerCm = 1/display.pixelSize;
degPerCm = atan(1/display.distance)*180/pi;
pixelsPerDegree = pixelsPerCm/degPerCm;
% FIXATION
% make frame rect
rec... |
8afb1e98468c6714f504ba34c8830fb6929be0a04ca897bacb3f1c5f1caab3a0 | MATLAB | 1,792 | 74 | function z = gt(x,y)
%GT Greater than for sptensors.
%
% See also SPTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
% Copyright (2015) Sandia Corporation. Under the terms of C... |
13b38c667d31f0a25fb03fe68ed87320d2f8c7f70d951edb3cd1084c9a44dc06 | MATLAB | 1,793 | 79 | function CBIG_MFMem_rfMRI_run_1000_simulation_testGrp_resLow_ut()
%--------------------------------------------------------------------------
% CBIG_MFMem_rfMRI_run_1000_simulation_testGrp_resLow
%
% This function will run 1000 simluations of FC with estimated parameter and
% SC of test group, simulation will run in l... |
1f7dabc1979386a9c70ccb773d564a834b0eae5c82e297a644804805d90a29c2 | MATLAB | 1,793 | 68 | function indexloc = ufmf_write_index(fp,keylocs,framelocs)
DICT_START_CHAR = 'd';
ARRAY_START_CHAR = 'a';
indexloc = ftell(fp);
% write a 'd': 1
fwrite(fp,DICT_START_CHAR,'char');
% write the number of key frames
fwrite(fp,numel(keylocs),'uchar');
for j = 1:numel(keylocs),
% write the length of the key name: ... |
4bc69ce68de3cb860d65b8640bbf426b7ae305a0100479a000f89dc34a75f8ee | MATLAB | 1,793 | 38 | % 根据白化法或目标函数法构造出的空间滤波器矩阵CSPMatrix，提取CSP特征
function features = func_extractCSPFeatures_seg(EEG, CSPMatrix, nbFilterPairs,seg_len)
% Input
% EEG: 训练集或测试集
% EEG.x: (times, channels, trials)
% EEG.y: trials*1
% CSPMetrix: 学习到的CSP空间滤波器矩阵, cell, {1,nsegments},每个都是channels*channels
% nbF... |
b3c804688bd6b88e021961123b826fc2050a5f842f7c08a9076b53bb363ca8f6 | MATLAB | 1,793 | 52 | function result=nc_reslice_probabilitymap_and_extract_common_mask_major_voting(workdir, subj_folder_prefix, ...
wm_file_prefix, subj_mask_threshold, voting_threshold, out_file, sp_LR, sp_AP, sp_SI, IsRegenrate)
result=[];
wm_nii=[];
subj_folders=dir(fullfile(workdir, [subj_folder_prefix, '*']));
if isempty(sub... |
f49c9c4c7d1a5816f07000fd9783714178f74f90f8b7200e87ba71173461fe06 | MATLAB | 1,793 | 73 | function answer = isCondInd(G, A, B, C)
%% Is A conditionally independent of B given C in the dag G
% We check the moralized ancestral graph for dseparability
%
% A, B, C can contain multiple vars: answer is a bit vector the same length
% as A so that A(isCondInd(G, A, B, C)) gives the vars from A that are
% condition... |
5c3025b8a15411592b6ba66a76523aff8f2fa741d6d6ffbe1288fd030ee3ff4f | MATLAB | 1,795 | 44 | function [allMean,allMeanZ,allT] = afxLnmSecondlevel(firstlevelInfo,groups)
if nargin < 2, groups = []; end
if nargin < 1 || isempty(firstlevelInfo)
firstlevelInfo = spm_select(1,'^firstlevel_info.mat$','Select firstlevel_info.mat',{},'results');
end
% load firstlevel information
inf... |
7c255d9c9bb9ee23d9d38fe0f057048d32dfeec3ebae313b618c81486c2bc2ba | MATLAB | 1,795 | 62 | function [varargout] = read_16bit(varargin)
% READ_16BIT read a stream of 16 bit values and converts them to doubles
% This function is designed for EDF files and is implemented as mex
% file for efficiency.
%
% Use as
% [dat] = read_16bit(filename, offset, numwords);
%
% See also READ_24BIT
% Copyright (C) 2007, R... |
1a2a5606740cb0786b2fa1a26f8e1689730c8941c311310248fca954f770f7b8 | MATLAB | 1,796 | 81 | %% Robust linear regression demo
% PMTKneedsOptimToolbox linprog
%%
% This file is from pmtk3.googlecode.com
function linregRobustDemoCombined()
requireOptimToolbox
seed = 0; setSeed(seed);
x = sort(rand(10,1));
y = 1+2*x + rand(size(x))-.5;
% add some outliers
x = [x' 0.1 0.5 0.9]';
k = -5;
y = [y' k k k]';
n = l... |
76ae392e633874c5263aefa61bc8a3b4c4d435c0f7dd6634cdade46241643c5e | MATLAB | 1,796 | 41 | function CBIG_LiGSR_LME_unittest_intelligence_score_cmp_w_reference_GSP( all_stats_mat )
% CBIG_LiGSR_LME_unittest_intelligence_score_cmp_w_reference_GSP( all_stats_mat )
%
% This function compares the variance component model results of Shipley
% Vocabulary and WAIS - Matrix Reasoning measures in GSP dataset that th... |
2963ecba10694d634a2afd256249ba1e7c56ec87db5353a16e6a26290e1e0f6c | MATLAB | 1,799 | 81 | function binlist = wlFT_getTimeBinList(ftdata, time_bin_ms, offset)
% function binlist = wlFT_getTimeBinList(ftdata, time_bin_ms, offset)
%
% This generates a list of time bin spans that covers a set of Field Trip
% trials.
%
% "ftdata" is a ft_datatype_raw data structure produced by Field Trip.
% "time_bin_ms" is the... |
b2ffdae5980788346fcf8d654d801c3d2cd8180674d168f630a4b0b0a8c62a02 | MATLAB | 1,799 | 67 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
e74d41916f1c33979483bc4a64745e963ce38df4b1dd33b630ce5686f96fd896 | MATLAB | 1,799 | 69 | %%
[NCell,Nt]=size(Tr);
dt=200; %default:200
[M4,PCout] = step1_PCA(GaussBlur1d(Tr,Nt/10,2),10); %default: step1_PCA(GaussBlur1d(Tr,Nt/10,2),10)
%[M4,PCout] = step1_PCA(conv2(1,gausswin(10),Tr,'same'),10);
P=PCout.pc_TimeCourse';
%%
SigRef=diff(P(Pcn,:));
% Calculate Shifted trace
Cor1d=zeros(1,NCell);
Shift1d=zeros(... |
eabe92901c029114c9662153c3176aa71e556312bd01f5b27d30546979b053e7 | MATLAB | 1,799 | 51 | function [xyc_min, num_channels, tiling_info] = get_xyc_lc(images_folder, x_res)
lc_channel_list = dir([images_folder, '/*']);
lc_channel_list = lc_channel_list(~startsWith({lc_channel_list.name}, '.'));
lc_channel_list = lc_channel_list([lc_channel_list.isdir] == 1);
lc_x_list = dir([lc_c... |
eced1b50baa22813b17c70cc40183c47f4a000e49cd08f082d66274b81b84f8a | MATLAB | 1,799 | 86 | function makeResultsMovie(movfile,movout,varargin)
% Create tracking/label results movie
%
% movfile: full path, input movie
%
% movout: full path, output movie
[trkfile,framerate,gamma] = myparse(varargin,...
'trkfile',[],... % full path to trkfile holding labels
'framerate',24,...
'gamma',[]);
% input mov
mr... |
fd8ec59591393a3ff2027930d0691958b874132f3cc64020c6843db27dc8f871 | MATLAB | 1,799 | 100 |
function xend = filter_hilbert_2(x,Fs,Fp1,Fp2)
% En proceso
%
% Hilbert filter
% (1) Realizar filtros pasabanda de la senal x, Entre Fp1 yFp2,
% Fs como frecuencia de muestreo
% (2) Aplica transfomada de hilbert para general se??al analitica (Sa)
% de la se??al (S), forma:
%
% Sa(t) = S(t) + i*H(S(t... |
0babd14f0b378fab421be336f2af668cf6b3042c1acc59663fa371c6a746b833 | MATLAB | 1,800 | 73 | function formatted = printf(str, varargin)
%PRINTF Prints formatted output.
% Usage:
% printf(str, ...)
% formatted = printf(str, ...)
%
% Formatting:
% - Surround text with '*' for bold or '_' for underlining
% - Set flags by adding '#[flagname]' to the END of the string
% Flags:
% '#nonl': Will no... |
426a1269fbdc31ef346699457807c6cd66c2ca220473a6ea818829c69518568d | MATLAB | 1,800 | 56 | % organize_gait_data_forPrism.m
% Sarah West
% 8/29/23
function [parameters] = organize_gait_data_forPrism(parameters)
% within each group:
% # mice x mean, SD, N
% 5 groups: spon, 1600, 2000, 2400, 2800 concatenated horizontally
MessageToUser('Organizing for Prism ', parameters);
% Inputs
... |
5c3b67e2090b0ac4da070748a35e15fca3f0cea0579eb5a0e7c922c7460d1e9f | MATLAB | 1,800 | 67 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
6edc27cc971a9fbefde9ecc428e9127f9d3c67f06e5a5246b552299ce6c27dd1 | MATLAB | 1,800 | 70 | function [logZ, nodeBels, clqBels, cliqueLookup] = libdaiInfer(tfacs, varargin)
%% Bare bones interface to libdai
%
%% Input
%
% tfacs - a cell array of tabular factors
% varargin - all other args are passed directly to dai
%
%% Outputs
%
% logZ - log of the partition sum
%
% nodeBels - all single marginals (no... |
d36086343c81b1961390281a2a218c0de1466815cd67262c19127d9d30e3e20f | MATLAB | 1,800 | 48 | function [ rawwave, hilmag, hilfreq, hilphase ] = ...
wlProc_calcNoisyAnalytic(data, samprate, sigband, noiseband, noisesnr)
% function [ rawwave, hilmag, hilfreq, hilphase ] = ...
% wlProc_calcNoisyAnalytic(data, samprate, sigband, noiseband, noisesnr)
%
% This function adds band-limited noise to a signal and the... |
058e1844dab6165adb89dbba6718064d9b33057e5244e05d8abb14d70db83b94 | MATLAB | 1,801 | 62 | function u = nvecs(t,n,r,opts)
%NVECS Compute the leading mode-n vectors for a sparse tensor.
%
% U = NVECS(X,n,r) computes the r leading eigenvalues of Xn*Xn'
% (where Xn is the mode-n matricization of X), which provides
% information about the mode-n fibers. In two-dimensions, the r
% leading mode-1 vectors a... |
b7b0bdb65738feb42610a9567dcfa6f8b80e6a2f993cc2145f6cac02f16576d5 | MATLAB | 1,801 | 54 | % separate_plots = true;
r = corr(traces.all(:,mvm.restEpochsIndex)');
% r = corr(traces.all(:,mvm.mvmEpochsIndex)');
% r = corr(traces.all');
distance = pdist(pos.all); %Eucledian distance between cells
distance = squareform(distance);
%colour = lines(length(nCells.int)); % colour code for different cells
r_all = ... |
23a9261987f820c698e69d41dd9f7f6609dc60fed5fd2fff1dd1728540276103 | MATLAB | 1,802 | 64 | function [ newlabel newtitle ] = wlAux_makeSafeString( oldstring )
% function [ newlabel newtitle ] = wlAux_makeSafeString( oldstring )
%
% This function makes label- and title-safe versions of an input string.
% The label-safe version strips anything that's not alphanumeric.
% The title-safe version replaces stripped... |
f4d81ef3e91524e5057e8039f4255fc6d407a872ea1466ae2748a0230a0678a9 | MATLAB | 1,802 | 48 | function prf = wiCSpkProf(tsd,at,nses,SesStrt,CSon,CSoff,Pk)
if isnan(at(1))
prf = nan(1,10);
return
end
sesstrts = find(tsd(:,2)==SesStrt);
tsd = tsd(sesstrts(end-nses):end,:); % only "terminal" sessions (2nd half?)
LVpk = tsd(:,2) == Pk;
LVon = tsd(:,2) == CSon; % flags tone onsets
LVoff = tsd(:,2) == CSo... |
07e07d749122858adeb21b7f9f7188507d1a6659bda26524af31999bd70803e5 | MATLAB | 1,803 | 62 | function [varargout] = read_24bit(varargin)
% READ_24BIT read a stream of 24 bit values and converts them to doubles
% This function is designed for Biosemi BDF files and is implemented as mex
% file for efficiency.
%
% Use as
% [dat] = read_24bit(filename, offset, numwords);
%
% See also READ_16BIT
% Copyright (C)... |
7ee340618d8234ceaa06349eb543c39a3f79c5df57871b2e1b33c9b9ac03ae88 | MATLAB | 1,803 | 60 | function [F,Vx,Vy,Vz] = membflt_kernel( I, s, t, v, m, w, e, d )
% MEMBFLT_KERNEL Kernel code for TOMOSEGMEMTV. Do not call this function directly, call tomosegmemtv instead.
% INPUT:
% I - Input tomogram (foreground dark), input data must be single and double
% s - Scale factor
% t - Membrane th... |
bde5d6f9bfc63a8799e218444edc1ea3593919ab9914853457afc4ac4d765bb2 | MATLAB | 1,803 | 46 | % Edited by Jerry. 07/04/2022
function avgs = GetAvgByClass_220704(A,classIDs)
%********************************************************************
% Average an array by 'type'.
% Class could be seizure:
% Array elements corresponding to certain seizures
% and each element corresponding to one s... |
ac88180480e7424fe471669587573cff85805f2525c8d3364183ac8a6d043372 | MATLAB | 1,804 | 55 | function fitprms = fitOutputNonlinearityML4(xvals, spikes, guess)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
foptim = @(p) optimizeNonlinearity(p, xvals, spikes);
%=========================================... |
f651eee56eb0a3c98a72f5abf415601b41aae29c1fa8930092fe4d4e8843c849 | MATLAB | 1,804 | 50 | function [y,iflaw]=fmodany(iflaw,t0);
%FMODANY Signal with arbitrary frequency modulation.
% [Y,IFLAW]=FMODANY(IFLAW,T0) generates a frequency modulated
% signal whose instantaneous frequency law is approximately given by
% the vector IFLAW (the integral is approximated by CUMSUM).
% The phase of this modulation is suc... |
2c1f05183d2d25e36d0bb4ba5cf1497868679ad81cc1f48918adb258303df2c4 | MATLAB | 1,805 | 68 | function [w, mseTrain, mseTest, df] = ...
elasticNetPath(Xtrain, ytrain, Xtest, ytest, lambda1s, ...
lambda2s, doStandardize)
% Elastic net for multiple parameter values (not optimized!)
% w(:,i) for lambda1s(i) and lambda2s(i); first element is w0
% This file is from pmtk3.googlecode.com
if nargin < 7, do... |
2fed231efa5b29f56bcbd291e2eb64cc119b99929e4d6abfabc11dfc98ee3a78 | MATLAB | 1,805 | 55 | function [S] = FreedDWSSFP(G,tau,TR,alpha,D,T1,T2)
%
% calculates steady-state magnetization with diffusion weighting
% for monopolar diffusion gradient based on the Freed model. (Appendix 1)
%
% input:
% G = strength of diffusion gradient (mT/m)
% tau = duration of diffusion gradient (ms)
% TR = repetition time (ms... |
53da68148f7d65be25fc9c1cce11130be6826aff1ff040925baa22fca94f6748 | MATLAB | 1,805 | 73 | function [g1, g2,wall,fminmax]=sica(f1, f2);
% decomposes two neural densities according
% to a minimum overlap criterion;
%
% usage: [g1, g2,wall]=sica(f1, f2);
% Input;
% f1,f2: two dipole fields each having dimension Nx3 where N is
% the number of voxels;
% Output:
% g1, g2: decomposed dipole fields w... |
69e3ca826d7a64b6f4d065ba46d7430cf4ffae40a015c22dd4ebf1cbce64b5f1 | MATLAB | 1,805 | 63 | %% Coins Model Selection Demo
% Attempt to determine if a coin is biased or not as we accumulate more and
% more data, (coin flips).
%%
% This file is from pmtk3.googlecode.com
theta = 0.7; N = 5; alpha = 1;
alphaH = alpha; alphaT = alpha;
for i=1:(2^N)
flips(i,:) = ind2subv(2*ones(1,N), i); % convert i to bit ... |
91ea69ca9bc3471008affcc0e913d88f65b091b961374112ec245bf66c84a52d | MATLAB | 1,805 | 47 | %
% generalized phase (GP) demo
% lyle muller
% 18 february 2020
%
clearvars; clc
% load example channel
load( './data/exampleChannel.mat' );
% parameters
filter_order = 4; Fs = 1000; lp = 0;
dt = 1 / Fs; T = length(x) / Fs; time = dt:dt:T;
% preprocessing - lowpass + notch
[b,a] = butter( 4, [5 200] ./ (Fs/2) ); x... |
0b21ca7e855c95346fa4301883b7d77f48b126dd973c3eacb4d4cb73a4ea7f8e | MATLAB | 1,806 | 81 | function hFig = easymontage(I,p,nr,nc,varargin)
[mrkr,mrkrsz,clr,idstr,hFig,doroi,roixrad,roiyrad,axisimage] = myparse(varargin,...
'marker','.',...
'markerSize',10,...
'color',[1 1 0],... % either [1x3], or [nptx3]
'idstr',[],...
'hFig',[],...
'doroi',false,... % if true, zoom in on label centroid
'roix... |
4fb2eb0d499c61ff64c25b957876e5cdf14787212c04a5ed4eb8df2541d0c2b5 | MATLAB | 1,806 | 49 | % Plot Correlation Matrix
% Produce the input lower triangular matrix data
C = -1 + 2.*rand(12,12);
C = tril(C,-1); % tril returns the lower triangular portion of the data
C(logical(eye(size(C)))) = 1;
% Set [min,max] value of C to scale colors
clrLim = [-1,1];
% load('CorrColormap.mat') % Uncomment for custom CorrCol... |
512e9b80b5694b83b7c80d4884bfc24a88b8cd885240841dce0da0e757bd8334 | MATLAB | 1,806 | 60 | function [F,Vx,Vy,Vz] = membflt_kernel( I, s, t, v, m, w, e, d )
% MEMBFLT_KERNEL Kernel code for TOMOSEGMEMTV. Do not call this function directly, call tomosegmemtv instead.
% INPUT:
% I - Input tomogram (foreground dark), input data must be single and double
% s - Scale factor
% t - Membrane th... |
c8c770fae93bb5099d56004932c49d6eefcca22ea494d2703bcebd1f108fd584 | MATLAB | 1,806 | 61 | function segments=Segment_Overlap(X,Y,lseg,ovlp)
%Segment_Overlap Splits the trajectory in segments of length
% lseg with an overlap of ovlp %
% Returns an structure of xy coords for each segment
%
% From MWM-ML-GEN, edited by Ryan H 2017
% figure(1);plot(X,Y);hold on
Z=[X,Y];
n = size(Z,1);
% compute cumulative di... |
dc370a531737e090d4ae49eef5dfd17be1f1c6d14e99b01c2c537afaa5357bca | MATLAB | 1,806 | 63 | classdef GTSetNumFramesType
enumeration
Total
PerMovie
PerTarget
end
methods
function tblsamp = sample(obj,tbl,n)
% Sample n frames from an MFTtable
%
% tbl: input MFTTable
%
% tblsamp: output MFTTable, sampled rows from tbl
nBase = height(tbl);
... |
ef57d2fc23b19b3f1af4e1cde0c790023f8bbec0a426eed7a0e50628150c6119 | MATLAB | 1,806 | 87 | % Demo for DAVB Henon state-space model inversion...
clear variables
close all
% Choose basic settings for simulations
n_t = 2e2;
f_fname = @f_Henon;
g_fname = @g_sigmoid;
u = [];
alpha = 1e8;
sigma = 1e4;
theta = [1.4;0.3];
phi = [];
inF.deltat = 1;
inG.scale = 50;
inG.slope = 0.1;
% Build options s... |
0674929701239ad4d454e3f69a24f27b7e2ada642bab43a0924623836bff7318 | MATLAB | 1,807 | 66 | function varargout = mixexpPredict(model, X)
%% Predict using mixture of experts model
% If the response y is real-valued, we return
% [mu, sigma2, post, muk, sigma2k] = mixexpPredict(model, X)
% mu(i) = E[y | X(i,:)]
% sigma2(i) = var[y | X(i,:)]
% weights(i,k) = p(expert = k | X(i,:)
% muk(i) = E[y | X(i,:), e... |
f0d266ecd696a809a00819bfcc914b6dccaf5ac6283dd2680b8d3ae6c897269d | MATLAB | 1,807 | 71 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
03c8f714c850a915579c5dff40a0360d543f96e32451caf6f8044452b487b994 | MATLAB | 1,809 | 58 | %H5: Markov Operator;
%_______________________________________
% Copyright (C) 2024 Trevor S. Smith
% Drexel University College of Medicine
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, ei... |
89122e251ea3cd420cc782e2b69b5334a6fe9a4d52ecc4b1918afd2d9bccd85a | MATLAB | 1,809 | 57 | function [h, p, stat] = regress_clustercorr(dat1, contrast, subjidx)
% wrapper around fieldtrip's cluster-based permutation test on a
% timecourse, behaves similarly to matlab's ttest
% input: nsubjects x time
addpath('~/Documents/fieldtrip'); ft_defaults;
% ============================================= %
% RESHAPE D... |
4cb46538b728306e86ab820a2efc2b0c5ddc9383769ab571917a5992f28cf8d4 | MATLAB | 1,810 | 39 | function [act, paradigm_by_exp, num_studies_per_paradigm] = CBIG_AuthorTopicEM_CollapseAct(act, paradigm_by_exp)
% [act, paradigm_by_exp, num_studies_per_paradigm] = CBIG_AuthorTopicEM_CollapseAct(act, paradigm_by_exp)
%
% Summarize input data by unique task paradigms to reduce storage size for the variables
%
% Input:... |
66de5376a5cc5357cdeaa4c58229ee3455ab6c0dbd5d550af9238891bdfb5435 | MATLAB | 1,810 | 41 | function [fly] = plotXYZPosition(bodyPts_xyz_allFlies,stimFileName_allFlies,flyID,figureFile)
for fly = 1:size(bodyPts_xyz_allFlies,1)
bodyPts_xyzP = bodyPts_xyz_allFlies(fly,:);
bodyPts_xyzP = bodyPts_xyzP(cellfun(@(x) ~isempty(x), bodyPts_xyzP));
figure;set(gcf,'Position',[2 42 838 924]);
for t... |
8f7e76ded7b35d7d3cacb315a2f5c5f087dee4b3f78898e0b941e9a5f52c4e5d | MATLAB | 1,810 | 44 | function [completedParPool] = clusterParPool(varargin)
datetime; pause(1); drawnow;
maxRandomWaitTime = 15; % seconds - try to prevent parpool initialization collisions
distcomp.feature('LocalUseMpiexec', false ); pause(1); drawnow;
parPoolTest = gcp('nocreate'); pause(1); drawnow;
if (~isempty(par... |
50569f75cb6e76eda21e5f26f82ac0a6a0f98f3622294e31b0a399f71c1e4095 | MATLAB | 1,811 | 69 | function [stack, maxFrameNumber] = read_qcamraw(fn, frameNumber)
%
%
% fn: string file name of QCAMRAW binary file.
% frameNumber: vector of frame numbers.
%
%
%
% fn = 'JF8635_green01_.qcamraw';
pf = fopen(fn, 'r');
fseek(pf, 0, 'eof');
fsize = ftell(pf);
gotThreeData = 0;
%get header infomation f... |
75399210abae3ecb84a6ea264c798ef4fed343c1e52c06c1ae6e34a5278f0e4d | MATLAB | 1,811 | 55 | %% choose session
datRoot = '/Volumes/LaCie/Farries recordings/';
%srvRoot = '/Volumes/Recordings/Michael/';
rat = 'IM1261';
sesList = dir([datRoot rat '/20*']);
sesList = arrayfun(@(x) x.name, sesList, 'UniformOutput', false);
%sesList2 = dir([srvRoot rat '/20*']);
%sesList2 = arrayfun(@(x) x.name, sesList2, 'Unifor... |
f57636c987b310eb00a4e1ce9500fdd4dafe1c2ca590e0dd7a2e9c839244eec8 | MATLAB | 1,811 | 57 | function val = surfaceorientation(pnt, tri, ori)
% SURFACEORIENTATION returns 1 if the triangulated surface is outward
% oriented, -1 if it is inward oriented and 0 if the orientation cannot be
% determined.
%
% Use as
% surfaceorientation(pnt, tri)
% or
% surfaceorientation(pnt, tri, ori)
% Copyright (C) 2007, R... |
6c6658fc38097c2bf2a1591d7cfc06db87096ae298ef20b8ebe13323bfcb3f37 | MATLAB | 1,812 | 56 | function C = minus(A,B)
%MINUS Binary subtraction for sparse tensors.
%
% MINUS(A,B) is called for the syntax 'A - B' when A or B is a sparse
% tensor. A and B must have the same size, unless one is a scalar. A
% scalar can be subtracted from a sparse tensor of any size.
%
% Examples
% A = sptenrand([4 3 2],... |
61c02253ee72b81ac6c5096918dd5624fc3ce577c8203f6851e8c0298a1fef47 | MATLAB | 1,814 | 59 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
%% EEG preprocessing wrapper script
clear; clc
delete(gcp('nocreate')) % clear parallel pool
%% variables that need to be changed
% loop
loop_number = 1
disp(['loop number = ' num2str(loop_number)])
% subject, condition, and block info
subject_idx = 1:36;
condition_idx ... |
91360ff1660a18d39f0768f425f089eda7a153e1ac797f730704368414a9faf8 | MATLAB | 1,814 | 65 | function LAN = lan_add_ref(LAN,references,chanlocs)
% <*LAN)<] toolbox
% v.0.0.1
% Read coordinates for iEEG electrodes
% 09.10.2012
if nargin == 1
realk= [];
[FileName,PathName,FilterIndex] = uigetfile({'*.reflan','ref-file';},'open ref - file','LAN.reflan');
if isequal(FileName,0) || isequal(PathName,0... |
9328d343166f5e205a7ce331b288d386039ee3c74cfece03ae94b39c033af57c | MATLAB | 1,814 | 66 | function y_hat = CBIG_regress_X_from_y_test(y, X, beta)
% y_hat = CBIG_regress_X_from_y_test(y, X, beta)
%
% This function applies the regression coefficients "beta" generated from
% the training set (see CBIG_regress_X_from_y_train.m) to regress the
% nuisance variables X from the target variables y.
%
% Inputs:
% ... |
a5011da8cfc6827d7a2cf396a640bd69d26352a852fe49a88e2796aa8c8dd06c | MATLAB | 1,814 | 63 | function histmat = hist2(x, y, xedges, yedges)
% function histmat = hist2(x, y, xedges, yedges)
%
% Extract 2D histogram data containing the number of events
% of [x , y] pairs that fall in each bin of the grid defined by
% xedges and yedges. The edges are vectors with monotonically
% non-decreasing values.
%
%EX... |
eb87de65b0350f8faaeac702bda09a986f519488d5afe6e273aa03936f980647 | MATLAB | 1,814 | 66 | function stage_downsampling_and_color_correction()
loadParameters;
%Save the loadParameters into the output director in case we need to do
%later debugging
copyfile('loadParameters.m',fullfile(params.colorCorrectionImagesDir,...
sprintf('loadParameters.m.log-%s',date)))
[ret,messages] = che... |
f68f1233bc651436e9231bf6d57b1c3eba72c090e9ce6d3d14755f650ec63d40 | MATLAB | 1,814 | 49 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% To reapply the filters of each motor unit over the EMG entire signal
% Input:
% EMG = raw EMG signal
% EMGmask = flagged EMG channels with artifacts or low signal to noise
% ratio
% PulseTold = previous pulse trains of the motor uni... |
33a2c2a07b03f0e972924a19fb55b1b92eeafd46a6d96a4c7d70c9f49d4103b4 | MATLAB | 1,815 | 53 | function y=rfft(x,n,d)
%RFFT Calculate the DFT of real data Y=(X,N,D)
% Data is truncated/padded to length N if specified.
% N even: (N+2)/2 points are returned with
% the first and last being real
% N odd: (N+1)/2 points are returned with the
% first being real
% In all cases fix(1+N/2) points are return... |
3dead392d20477bac181d705a20ad60daaf44cbb093ab954a848b075ca9e6a52 | MATLAB | 1,815 | 49 | function [xOuter, yOuter, xInner, yInner] = generateNestedSquares(basepath, ep,varargin)
% GENERATENESTEDSQUARES Generate points on outer and inner square sides
% Inputs:
% basepath: location of behavioral data kept in CellExplorer format.
% ep: integer indicated behavior epoch that contains maze_coords ... |
4bba13071f76d36144df311ec1f54f71bc196c01dce53633cb9ce55de34f5a5f | MATLAB | 1,815 | 65 | function [data, label] = gmmsamp(mix, n)
%GMMSAMP Sample from a Gaussian mixture distribution.
%
% Description
%
% DATA = GSAMP(MIX, N) generates a sample of size N from a Gaussian
% mixture distribution defined by the MIX data structure. The matrix X
% has N rows in which each row represents a MIX.NIN-dimensional samp... |
52a8d6246b99fe122755ce605638a2fb015c73a51ff914ece57e04a7f77f13c7 | MATLAB | 1,815 | 99 | % ITPC cartoon
figure
set(gcf,'Position',[100 100 300 400])
grey = cmocean('-gray',14);
lineWidth = 1.5;
lineWidthAvg = 2;
xli = [-3.5*pi 3.5*pi];
clear y
subplot 211
figureStyle
hold on
ylabel('Power')
xlabel('Time')
yticks('')
xticks('')
xlim(xli)
ylim([-1 1])
x = -8*pi:0.1:8*pi;
y0 = sin(x);
yScale = [1.7... |
593caed8adaa7a568fadd2589ab340342130482e7060eed99f42d5c01afc8993 | MATLAB | 1,815 | 44 | %Purpose: Implement Hungarian Matching Algorithm for MSHBM and k-means parcellations
%parcellations.
%Inputs: MSHBM and k-means parcellations (run directly following
%parcellation BEFORE visualization)
%Outputs: Individual parcellations with matched values (e.g., network 1 is the same across parcellation methods.
%
%... |
2cdeb6a119a73fff95620335b6de8ceac6ce01f1c89bd6ef9614603ef809359d | MATLAB | 1,816 | 22 | 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)... |
64be37740b4e766e320dfe04d7cd9e4860d66dbadd73b2cb871ec33b5e9db135 | MATLAB | 1,816 | 57 | classdef ParameterVisualizationKeypointParams < ParameterVisualization
% Embeds the LandmarkSpecs keypoint-specification UI (skeleton,
% head/tail, swap pairs) in the visualization pane of the parameters
% dialog. Edits are handed back through cbkClear when the pane is
% cleared, and are written to the Labeler... |
01432028f05e7d988dc5c9c689bdee158ae38153decd42e610320d9e73b1d4bb | MATLAB | 1,817 | 52 | function varargout = finding_crap(s,n)
%DETCOEF2 Extract 2-D detail coefficients.
% D = DETCOEF2(O,C,S,N) extracts from the wavelet
% decomposition structure [C,S], the horizontal, vertical
% or diagonal detail coefficients for O = 'h'
% (or 'v' or 'd',respectively), at level N. N must
% be an integer... |
65550810f9316128e60d1e1eeb43f583a61d10679bbb1f4890feb184a84a7563 | MATLAB | 1,817 | 53 | function logNorm = logMvnPdfWithMissingData(data, obs, mean_, precMat, logDetPrecMat, covMat)
% Computes log of Multivariate Normal Pdf when data contains missing values.
% logNorm = logMvnPdfWithMissingData(data, obs, mean_, precMat) computes the
% logPdf for data (#dim x #measurements). 'obs' contains the indexes of
... |
ccca0c5ef254928e000092dadb86845881574b934d4b9c7ac37b72d663f11f46 | MATLAB | 1,817 | 82 |
function [res,c_theo]=lm_res_comp_general(a,c,forwpar,ndip,type);
F=fcnchk(forwpar.method);
[npar,ndum]=size(a);
if type=='real';
nc=ndip*(ndip+1)/2;nc_R=nc;
ar=a(1:nc_R);
elseif type=='imag'
nc=ndip*(ndip-1)/2;nc_I=nc;
ai=a(1:nc_I);
elseif type=='comp'
nc=ndip^2;nc_R=ndip*(ndip+1)/2;nc_I=ndip... |
d9d4c1d432a2f2e08536268d66485f032a8c1ba023c9da54f4e66fe5b7671b93 | MATLAB | 1,817 | 66 | %% setup fieldtrip
restoredefaultpath;
addpath(fullfile('fieldtrip'));
clear ft_hastoolbox;
addpath(fullfile('../engines/fieldtrip'));
ft_defaults;
%% read STLs
csf_file = fullfile('data/110411_csf_remesh.stl');
skull_file = fullfile('data/110411_skull_remesh.stl');
skin_file = fullfile('data/110411_skin_remesh.stl'... |
f91f0f03dcfe6c703e3bee9a4d93969547003e2c1cb23f3ccd17f24c328453a8 | MATLAB | 1,817 | 65 | function [Samp, Sph, EjeF] = spctr(s, FreqRes, SampFreq, FreqRange)
% spctr Computes the spectral amplitude and phase
% of a signal or matrix of signals 's' based on fft transform.
% if 's' is a 2D or 3D matrix, fourier proceed on each column independently.
%
% NOTE!! Asumes that there are more points than in... |
1d59de01e956eee20312fb1c4d544befad897c9ca54dcbebcfaf888e72285ad5 | MATLAB | 1,818 | 64 | function data1 = setup_MISA_MISA1(M,X,W0,dist_type)
nComp = size(W0{M(1)},1);
S = cell(1,max(M)); % Cell array: each cell contains a matrix K x C(m).
% Each k-th row has 0's and 1's to indicate what sources go within the k-th subspace in dataset m
for mm=M
% S{mm} = sparse(1:nComp,1:nComp,1,nComp,nComp,nComp);
... |
05d85006177cbfbfc4bf0603520bc9cbe7f5862eb985e69ae8b27d15744b364e | MATLAB | 1,819 | 44 | %Purpose: Implement Hungarian Matching Algorithm for MSHBM and k-means parcellations
%parcellations.
%Inputs: MSHBM and k-means parcellations (run directly following
%parcellation BEFORE visualization)
%Outputs: Individual parcellations with matched values (e.g., network 1 is the same across parcellation methods.
%
%... |
4de66aa2f9cdd47b8489c20a0ee81d20aabeb51de3ad8ec6ba054ae736601d32 | MATLAB | 1,819 | 36 | function test_DeepTracker_twining()
linux_project_file_path = '/groups/branson/bransonlab/apt/unittest/four-points-testing-2025-04-12-with-rois-added-and-fewer-smaller-avi-movies-lightly-trained.lbl' ;
[project_file_path, replace_path] = localize_test_project_path(linux_project_file_path) ;
[labeler, controlle... |
7696699d540a9e9010a50941d6248af2315f2192974d3442937aaee8db00acdb | MATLAB | 1,819 | 44 | %Purpose: Implement Hungarian Matching Algorithm for MSHBM and k-means parcellations
%parcellations.
%Inputs: MSHBM and k-means parcellations (run directly following
%parcellation BEFORE visualization)
%Outputs: Individual parcellations with matched values (e.g., network 1 is the same across parcellation methods.
%
%... |
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