sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
8b55ef21725f7d3f7911d427ef39b28ed77baca0da78e6050a2d99be35bdd0f4 | MATLAB | 2,982 | 97 | function [L1,L2,L3,V1,V2,V3] = eig3dkmex( Ixx, Iyy, Izz, Ixy, Ixz, Iyz, mode )
% EIG3DKMEX Multicore eigenvalues and eigenvectors computation in 3x3 symmetric real tensors
% of tomograms
% INPUT:
% Iij - Tomograms with the i, j discrete diferentials, input data must be single and double
% m... |
38fbdbc0a0d19c16be58b6c05b93ce3ef184739f22920a58e7668220029f9ad5 | MATLAB | 2,983 | 109 | function hhh=vline0(x,in1,in2)
% VLINE add vertical line on current axes
%
% function h=vline(x, linetype, label)
%
% Draws a vertical line on the current axes at the location specified by 'x'. Optional arguments are
% 'linetype' (default is 'r:') and 'label', which applies a text label to the graph near the line. ... |
f38bf21439e4708cbdf9c5d6066463d7ba55ddf6d90cabc40df2de3a164c7f5b | MATLAB | 2,983 | 86 | function plotMetricStrain(SOI, chartName, gridSize, strainScale)
% plot the metric strain for a chart over the pullback in the first
% channel to visualize map distortion
%
% plotMetricStrain(SOI, chartName, gridSize, strainScale)
%
% SOI: SurfaceOfInterest object
% chartName: na... |
c264eab48b945a9c493e11d2a8501263498b41707ed947a0f09732ea50472146 | MATLAB | 2,984 | 104 | function [M,IND] = combn(V,N)
% COMBN - all combinations of elements
% M = COMBN(V,N) returns all combinations of N elements of the elements in
% vector V. M has the size (length(V).^N)-by-N.
%
% [M,I] = COMBN(V,N) also returns the index matrix I so that M = V(I).
%
% V can be an array of numbers, cells or strin... |
846d42df9045e6f6b30e25dcb366187f91a0ddc0d0a9e416d7d27951a2a8a908 | MATLAB | 2,986 | 97 | % makeMIPimages
% make MIP movies from 3D images
%
% ex)
% inputFile=dir('4_registration/*_round*_summedNorm_registered.tif')
% makeMIPimages(inputFile, 'registration-mip.avi')
function makeMIPimages(inputFiles, outputFile)
num_input = length(inputFiles);
a_z = {};
a_c = {};
a_r = {};
for i =... |
cb159297896df2d9a9f8c943e73b6204b3217f113fa10e27fc5fb28bafa75525 | MATLAB | 2,986 | 105 | function [varargout] = pad(varargin)
% PAD adds leading or trailing characters, such as spaces, to the left or
% right of an existing string.
%
% This is a compatibility function that should only be added to the path on
% MATLAB versions prior to R2016b.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
a4706811a1f90ae862806c1c59e471b76a49628e3026302dc7058b9176c0e604 | MATLAB | 2,987 | 97 | % AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
%
classdef Sorte... |
885057d96cdc16b242687657a3fbbaf8415be8518f34b894476a293b3f4e20dd | MATLAB | 2,988 | 110 | function Aout = esoin_dataMunge(experimenter,rig)
TIF_LENGTH = 17;
raw_dir = uigetdir('','Please select raw data directory');
munge_dir = uigetdir('','Please select target munged directory');
init_string = 'Initializing Munge ... ';
munge_string = 'Munging ... ';
commence_string = 'Munge Complete ';
disp(i... |
98a03c0e2889dae5ed50f04edd3f64ddbf3e39e3a02dffd9a696ea395273bdf8 | MATLAB | 2,989 | 131 |
ans =
0.0559
prop
prop =
0.0558 0.0653 0.0599 0.0531 0.0563 0.0552 0.0535 0.0486
hist(max(CellR))
max(CellR)
ans =
0.9583 0.8293 0.8438 0.7843 0.8333 0.7241 0.8636 0.7368
cell = find(CellR==0.9583)
cell =
0×1 empty double column vector
CellR2= maxCell... |
d9d72669ba4d414ccef9796c0b62110786fc703bd53e07e639273b80e9788732 | MATLAB | 2,989 | 98 | %% Linear Regression with Polynomial Basis of different degrees
% based on code code by Romain Thibaux
% (Lecture 2 from http://www.cs.berkeley.edu/~asimma/294-fall06/)
%%
% This file is from pmtk3.googlecode.com
N = 21;
%N = 25;
[xtrain, ytrain, xtest, ytestNoisefree, ytest] = ...
polyDataMake('sampling','th... |
90b7b917acd44905b3b9b06350eae91b7db397a8eb4ac40dabb304bfd8a0fdf6 | MATLAB | 2,994 | 82 | function [x,iflaw]=fmpower(N,k,p1,p2)
%FMPOWER Signal with power-law frequency modulation.
% [X,IFLAW]=FMPOWER(N,K,P1,P2) generates a signal with a
% power-law frequency modulation.
% X(t) = exp(j*2*pi(F0*t + C/(1-K)*abs(t).^(1-K)))
%
% N : number of points in time
% K : degree of the power-law (K~=1)
% P1 : if the ... |
ac6aa4d1f351809f18e86975ea6a9e441e7cb98deadd8d5742e4bdc9c94445af | MATLAB | 2,994 | 77 | function Obj=SOFAconvertMIT2SOFA(root,pinna)
% OBJ=SOFAconvertMIT2SOFA(root,pinna) loads the MIT HRTFs saved in a
% directory ROOT for the PINNA and converts to a SOFA object.
% PINNA must be 'normal' or 'large'.
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences;
% Licensed under t... |
41b1137e13b373cf9b6f3cbd0483f69208417aa3e1269c01d5408fe62eff96dc | MATLAB | 2,995 | 123 | function [pos, mom, ampl, time] = read_asa_dip(fn)
% READ_ASA_DIP reads the dipole position, moment and amplitude
% This importer is designed for fixed-dipole models and only supports
% a limited number of the options that ASA has.
%
% Use as
% [pos, mom, ampl, time] = read_asa_dip(filename)
%
% See also READ_ASA_V... |
64a6c3e5338e24ea9f5713919166886862f161f7d83a3dacaf52410d872f8034 | MATLAB | 2,997 | 127 | addpath('../generic/');
addpath(genpath('../az_matlab_files/'));
%%
ndatasets = 8;
names = {'all'};
vlambda = [0.0001,0.001,0.005,0.01,0.02,0.05,0.1];
nlambda = length(vlambda);
AUC = nan(ndatasets, length(names),nlambda);
PROP_zeros = AUC;
clear vB
for idataset = 1:ndatasets
dt_ms = 25; % 100
% dt_ms ... |
dbb857e6ba409a5b7f20963f0c39261fc9f52d5375575cf724a0fc239d96eb7f | MATLAB | 2,997 | 105 | function publishDemos(wikiFile)
% Publish all of the PMTK3 demos and create the wiki TOC page.
% See publishFolder, pmlCodeRefs, pmlChapterPages for settings that might
% affect this function.
% PMTKneedsMatlab
%%
% This file is from pmtk3.googlecode.com
wikiOnly = true; % set true if you only want to regenerat... |
02aa326ad8b26afb4a335b213f3e7378ffc0c8b4bcd92d99072f8b82dc8d97cd | MATLAB | 2,998 | 96 | %%
function [behplane,data] = axon_prep(data, behplane, plane, track_length, nov_environment, pupil, dark, goodbeh, blebs)
%day2
%plane 3 by hand like Losonczy analysis
load(data);
load(behplane);
load('C:\Users\Sheffield_lab\Documents\analysis\NETcre\spline_basis30_int.mat')
%determine if any ROIs should be combin... |
b46c4c273fab4d71706c2d07dc1f7d16cc78c0ff792c72ad052a5dff1e0d2cca | MATLAB | 2,998 | 75 | function [Uout, UoutAll] = fresnel_propagation_multi(Uin, lambda, dx, z, phi, nidx, crop)
% [Uout, UoutAll] = fresnel_propagation_multi(Uin, lambda, dx, z, phi, nidx)
%
% Simulates optical propagation through a medium with phase masks applied
% at specified points. The inputs are
%
% - Uin - incident ... |
da264f88118fb544fee2376c5fad0b3dc32eaab89e916617f0170899cc45a23f | MATLAB | 2,998 | 78 | function y = medfilt1m( x, r, z )
% One-dimensional adaptive median filtering with missing values.
%
% Applies a width s=2*r+1 one-dimensional median filter to vector x, which
% may contain missing values (elements equal to z). If x contains no
% missing values, y(j) is set to the median of x(j-r:j+r). If x contains
% ... |
8c6bc70ee38e4520cdabc3a018b637c2e9be935f329fb1b0b3b206f522ac57eb | MATLAB | 2,999 | 87 | function [ti,fi]=midpoint(t1,f1,t2,f2,k)
%MIDPOINT Mid-point construction used in the interference diagram.
% [TI,FI]=MIDPOINT(T1,F1,T2,F2,K) gives the coordinates in the
% time-frequency plane of the interference-term corresponding to
% the points (T1,F1) and (T2,F2), for a distribution in the
% affine class perfectl... |
3708fe45c784d3ff42c197fc766ed02668c0c004b86c092e93bd4c624b75b08b | MATLAB | 3,000 | 96 | function mesh = make_slab(sizevar,surf)
% mesh = make_slab(sizevar)
%
% Creates a 3D slab mesh
%
% sizevar.width - width
% sizevar.height - height
% sizevar.depth - depth
% sizevar.xc - x center
% sizevar.yc - y center
% sizevar.zc - z center
% sizevar.dist - distance between nodes
% surf - optional, if 1 surface me... |
540ec79b90cee90b6c0540dfae82e80ff18ec4a58fa493503f91bafe87cbbe84 | MATLAB | 3,001 | 85 | function [f,nf,fid,hifo] = bag_get_readframe_fcn(bagfname,varargin)
topicpat = myparse(varargin,...
'topicpat',[] ... % topic pattern to match in Bag
);
% if ~isStringScalar(cam_num) || ~ischar(cam_num)
% try
% cam_num = num2str(cam_num);
% catch
% error('Invalid camera number input.')
% end
% end
... |
d89650058094bdea2198ffac7cb8e8bd0d0cf76e6f8eb4ed6d46b5c8810fc12e | MATLAB | 3,001 | 78 | function [P, t, normals, cinterp] = meshrefiner(P, t, normals, c, alpha)
% This script performs mesh refinement using
% barycentric triangle subdivision (1:4)
% INPUTS
% P - contains nodes of facets to be refined
% t - set of facets to be refined
% normals - normal vectors of facets to be refine... |
67842b147c4a5c80389023130cb042a8d0cd8f74e81b7b6defff6f54e3d9cf27 | MATLAB | 3,002 | 147 | % 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,... |
07b5e168a607ef07f593220fcd41e8a4bc36ce711deafbdd3caa5b7ef6c8da18 | MATLAB | 3,003 | 99 | % return_m1087_bloodvessel_masks.m
% Sarah West
% 5/5/22
% Compare artifact removed overlay numbers from:
% Y:\Sarah\Analysis\Experiments\...
% Random Motorized Treadmill\spatial segmentation\500 SVD components\
% artifacts_removed\1087\sources.mat
% to:
% Y:\Sarah\Analysis\Experiments\Random Motorized Treadmill\sp... |
43ae2d2577bd6fae63d4d23ac09241c88b9b25a4ee932344d52f0151e56d1cd2 | MATLAB | 3,005 | 118 | % Asia example from
%http://sujitpal.blogspot.com/2013/07/bayesian-network-inference-with-r-and.html
% This file is from pmtk3.googlecode.com
nodeNames = {'A','S','T','L','E','B','X','D'};
N = length(nodeNames);
G = zeros(N,N);
nodeNums = cell(1,N);
for i=1:N
nodeNums{nodeNames{i}} = i;
end
G(nodeNums{'A'}, nod... |
5d0f4fbd3ab8d3dc33be91e1a95eaba7209b0375404acf4808a06b84973117c8 | MATLAB | 3,005 | 87 | % loadParameters;
%set a yamlfile variable then run this script.
bigparams = bigExpParams(yamlfile);
%% Define all relevant parameters and known number of tiles per round
% This is the CA1 complete hippocampus acquired on July 9th-July 14th
% Numbers are from metadata and examining the raw data folders
imgSizeXY = ... |
7098d8487bab247105958fb9ed39efde81d730b4ce439fbd814a621110b0727f | MATLAB | 3,005 | 112 | function spkDat = SplitAllTmp(spkDat, varargin)
Fs = spkDat.Fs;
wvFs = Fs * spkDat.upsample;
clustList = setdiff(unique(spkDat.id), 0);
[wL, nChan, ~] = size(spkDat.waves);
pk = spkDat.peakLoc;
wP = spkDat.wavePad;
wL = wL - 2*wP;
win = 1000 * [1 - pk wL - pk] / wvFs;
chanList = 1:nChan;
subtractMean = true;
method = ... |
a66dd24ac4335e983f3db3a7d4204076d0aa1c7219d2043fe15402dec8e30a37 | MATLAB | 3,006 | 110 | function param = roughness_parameters_surface(surf, z)
% Gadelmawla et al., 2002
% https://doi.org/10.1016/S0924-0136(02)00060-2
% preparation
% finds peaks and valleys based on values only
pks_locs = z > prctile(z,95);
vls_locs = z < prctile(z,5);
% intersection of mean line
edg = SurfStatEdg(surf);
n0_list = [0 0];... |
d673b247cfabbd61d6944487231a17a59723df99929624ee6465eff81ec6fddf | MATLAB | 3,007 | 84 | function [R,out,deni] = RTpca(X,nPCA,nit,T)
%% Inputs :
% X : Input Matrix, each variable is fed into one row and each single
% column denotes a single datapoint
% nPCA : Number of required PCs to estimate
% nit : number of iterations
%% Outputs :
% R : EigenVectors of each PC, each row is a complete eigenvector.
% ou... |
ba442d1550927077b17102d4c2798bd2d3c7627ef025bd8a35d028c4be7355f4 | MATLAB | 3,008 | 102 | function meg_Fig6c_TE_byPrecue_mdlFit_2Hz_pies
% function meg_Fig6c_TE_byPrecue_mdlFit_2Hz_pies.m
% 2 Hz phase by attention, in fittedP structure
%% Load data
% Model fit data
filename = 'ModelFit_SeparatePrecueT1T2_2Hz_session.mat';
load(filename)
% Figure directory
[figDir,dateStr,style,colors,p] = meg_manuscript... |
a8d442292efb98d04eb0e7c789b88c2f27f89b127a7efb23fa56cde654153cf9 | MATLAB | 3,009 | 101 |
function negloglik = neglogLikBTDR_IncompObs_uneqvar_S_nllonly(pars,Ai,Xzetai,zzi,r,ni,g)
% Negative marginal log-likelihood for basis of population regression
% model
%
%[negloglik, grad] = neglogLikBTDR_IncompObs_uneqvar_S_fast(pars,Ai,Ri,zzi,r,ni,g)
%
%Computes negative log-likelihood under linear Gaussian regressi... |
a241104cf5fbb44f3f85e8d59f6154940f876af824808c306f2a6028ae9aad65 | MATLAB | 3,011 | 103 | %% |rgb2hex| and |hex2rgb|
% These functions convert RGB color triplets to hexadecimal format, or
% hexadecimal format to RGB color triplets.
%% Syntax
%
% rgb2hex(rgb)
% hex2rgb(hex)
% hex2rgb(hex,range)
%% Description
%
% |rgb2hex(rgb)| converts RGB color triplets to hexadecimal format. If no
% value in the ... |
a2fbade7a6899fe913acb120b1ffb03f5c1d84c9acebf735f635188f8df278be | MATLAB | 3,011 | 96 | %% 2D Logistic Regression Demo
% Based on code by Mark Girolami
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
D = loadData('rip');
X = D.rip_dat_tr;
Xt = D.rip_dat_te;
Ntrain = size(X,1); Ntest = size(Xt,1);
ytrain = X(:,3);
X(:,3)=[];
ytest = Xt(:,3);
Xt(:,3)=[];
Xtrain = X; Xtest = Xt; clear X Xt
polyOr... |
ae08750c97a84e336cc3d5353eb8ff8ec4b7fa5b1ce86ead0f376fecaf8802e7 | MATLAB | 3,011 | 72 | function [theta_pvalue,phi_pvalue,reg_id_pvalue,cut_id_pvalue,PPvalue] = ...
pvalue_selection_constrained_gene(X,phi,theta,ori_reg_id,extra_reg_num,threshold)
% p-value selection by p-value < threshold
% theta=pinv(phi'*phi)*phi'*X;
% cons=[zeros(1,size(phi,2)-extra_reg_num),0,-1];
options=optimset('LargeSca... |
db38df0dacaeed8fcf1915255811e20eb69f0d8f75f12fd17645770ee35e35b1 | MATLAB | 3,011 | 32 | subjs={
'/m/cs/scratch/networks-pm/pm_denoise/sub-01/sub-01_task-movie_SGdetrend_24HMP-8Phys-Spike_HPF.nii'
'/m/cs/scratch/networks-pm/pm_denoise/sub-02/sub-02_task-movie_SGdetrend_24HMP-8Phys-Spike_HPF.nii'
'/m/cs/scratch/networks-pm/pm_denoise/sub-03/sub-03_task-movie_SGdetrend_24HMP-8Phys-Spike_HPF.nii'
'/m/cs/scrat... |
24996e26cfe7ee105bc61c956d2e2a06b733fc1fc641322b01294ddeabe0278b | MATLAB | 3,012 | 100 | function [hdr, dat] = read_neurosim_signals(filename)
% READ_NEUROSIM_SIGNALS reads the "signals" file that is written by Jan
% van der Eerden's NeuroSim software.
%
% See also FT_READ_HEADER, FT_READ_DATA
% Copyright (C) 2012 Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
%... |
522f9a839799ba20ee93ae788523b0a207a69ba424cbe35911d375c327e3537c | MATLAB | 3,013 | 107 | clc;clear all;close all;
[file path]=uigetfile('*');
[X X1 X2]=xlsread([path file]);
inc=0;
for i=1:size(X,2)
if(length(find(isnan(X(:,i))))<(size(X,1))/2)
inc=inc+1;
inn(inc)=i;
end
end
data=X(:,inn);
tic
data1=knnimpute(data);
dd= find(strcmp(X1(1,:),'feature_delta_mean_ic50'));
nd=find(inn==dd);
ic... |
cb981a1f058ba1c180f9f6dbfc00b36ac2de486cdc19258201348922d3fbbc81 | MATLAB | 3,013 | 86 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef Note < Entry
%Note Container class for Axis File notes
%
% Investigator: Text data taken from 'Investigator' field of the Axis
% GUI
%
% Experime... |
9e05c8eb76f8f996598ea0c12b1419dae6f9a01d6dd27a2c4e5ed1816adcd16c | MATLAB | 3,014 | 89 | %% Reproduce figure 18.4 from "Elements of statistical learning" 2nd ed.
%
%%
% This file is from pmtk3.googlecode.com
loadData('srbct'); % Xtrain is 63*2308, Xtest is 25*2308, C=4
Xtest = Xtest(~isnan(ytest), :);
ytest = ytest(~isnan(ytest));
fitFn = @(X,y,lam) discrimAnalysisFit(X, y, 'shrunkenCentroids', 'lamb... |
59149c748fe27a780c9a9fe8769028fd968ff5755f07a9a43105a9b59c57d8b3 | MATLAB | 3,015 | 100 | function [hdr, dat] = read_neurosim_signals(filename)
% READ_NEUROSIM_SIGNALS reads the "signals" file that is written by Jan
% van der Eerden's NeuroSim software.
%
% See also FT_READ_HEADER, FT_READ_DATA
% Copyright (C) 2012 Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
%... |
2cdf374e4f91e63111e45b49f8c22542e719b1e3bf210f878073379b2a45cd83 | MATLAB | 3,016 | 87 | function result = ft_test_report(varargin)
% FT_TEST_REPORT
% Copyright (C) 2017, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: you can redistribute it and/or modify
% it under the terms of the GNU G... |
f061eeecf037cab4d665bc8b32823d349035f444ffb411537fd222a850834f0f | MATLAB | 3,016 | 84 | %% Comparison of methods for imputing missing values in a gene microarray
% PMTKslow
% PMTKauthor Kevin Murphy
% PMTKneedsStatsToolbox boxplot
%%
% This file is from pmtk3.googlecode.com
function [] = imputationGeneMicroarrayDemo()
requireStatsToolbox
% yeastStress 6152x174, 5338 fully observed rows (on 15 chosen co... |
3f69efe981432ae3a161233da2cf53289a8edbeb0b99a144bf9270c079958896 | MATLAB | 3,017 | 105 | function arsDemo()
%PMTKauthor Daniel Eaton
fprintf('running ARS demo\n');
%% example 1
% sample from a 1D gaussian
func = inline('log(exp(-x.^2/sigma))','x','sigma');
a = -2; b = 2; % any other a,b st a<0 and b<0 would work too
domain = [-inf inf];
nSamples = 20000;
sigma = 1;
fprintf(sprintf('drawing ... |
7aeaa0552a43e0b5f6ce04797117b261aafd05a39128b1bfe208966065e6fdca | MATLAB | 3,017 | 92 | function [spec,freqs,A]=parafrep(Rx,N,method,q);
% [spec,freqs]=parafrep(Rx,N,method,q) parametric frequency representation
% of a signal.
%
% Rx : correlation matrix of size (p+1)x(p+1)
% N : number of frequency bins between 0 and 0.5
% method : can be either 'ar', 'periodogram', 'capon', 'capnorm', 'lagunas'... |
3d9eb0738bfb2df6682ca238273c00ea8c1161c96b87557429bb79017307ddc3 | MATLAB | 3,018 | 107 | function figure_distributionPlot(condition, ...
srmr_nr, target_chan, selected_subjects)
%% set variables
loadpath_ga = getenv('GADIR');
% get condition info
[cond_info] = get_conditionInfo(condition, srmr_nr);
cond_name = cond_info.cond_name;
% load data
fname = ['stats_ind_snr_' cond_name '.mat'];
load([loadpa... |
4cc3e1bc1160a62467875f9448bd612ef3552450c6ebe8b5d67560c2315971e6 | MATLAB | 3,020 | 89 | % Pairwise interactions on the unit line, Laplace kernel.
%
% This example computes the interactions between random points on the unit line
% via the Laplace kernel. The associated matrix is square, real, and symmetric.
%
% This demo does the following in order:
%
% - compress the matrix
% - check multiply error/ti... |
e6aa6421241d4d0c67e04105d84fa081c52ccea6ab0f2192df884c2e2cd924b4 | MATLAB | 3,020 | 98 | function [l1,l2,baseval,rotation,width] = estimate_2d_grid(grid_image,grid_size,baseval,rotation,spot_size,prom_sc,base_sc,max_filt_sz)
%% input processing
if(nargin<8)
max_filt_sz = NaN; % parameter for baseline image edge estimate
end
if(nargin<7 || isnan(base_sc))
base_sc = 0.1; % parameter for b... |
ce203b7415f47ba42ff599a1300b967f74619b69e5543b410d71f217a7c0e2f2 | MATLAB | 3,021 | 85 | function varargout = ft_wizard(wizard_filename)
% FT_WIZARD is a graphical user interface to evaluate a FieldTrip analysis
% script one step at a time, allowing you to go to the next step if you are
% content with the data so far, or to the previous step if you want to repeat it
% with different configuration settings... |
f16c00101382728318fc37c0c6e1aab32e097e2eb3e73ac8229e9ed0b3167afa | MATLAB | 3,021 | 108 | function [slope,intercept,stats]=demingRegression(x,y,intercept0,lambda,null_slope,tail,nfold)
% [slope,intercept,stats]=demingRegression(x,y,intercept0,lambda,null_slope,tail,nfold)
% Perform deming regression
%
% [input]
% x: input variable 1
% y: input variable 2
% intercept0: if 1 the intercept is to be constrai... |
032db6743503db71a0b2ad0576044b77b8d2e39ea9f12475d7d9be93a9cefc02 | MATLAB | 3,023 | 101 | function createChannelMapFile_Local(basepath)
% create a channel map file based on the .xml file. Original script from
% kilosort 1 wrapper. Modified to not use channels that user set as 'skip'
% in the .xml file.
%
% Modified by Eliezyer de Oliveira, 02/03/2020
if ~exist('basepath','var')
basepath = cd;
end
d... |
617032df7408ce3a25ef626daa2062a6d52c6dade22ea036036e0d0cc80031ba | MATLAB | 3,023 | 97 | %% Hierarchical Bayesian Estimation of Some Binomial Proportions
% Johnson and Albert p67
%%
% This file is from pmtk3.googlecode.com
function cancerRatesMh()
%% Data
% p24
data.y = [0 0 2 0 1 1 0 2 1 3 0 1 1 1 54 0 0 1 3 0];
data.n = [1083 855 3461 657 1208 1025 527 1668 583 582 917 857 ...
680 917 53637... |
7db04304e336859b49452b7bcad4250105ab60e1428fe5c0535fb072b257f006 | MATLAB | 3,024 | 76 | % create_mice_all_no_missing_eyedata.m
% Sarah West
% 6/22/22
% Load list of missing data
load('Y:\Sarah\Analysis\Experiments\Random Motorized Treadmill\behavior\eye\missing_data.mat');
% Load mice_all
load('Y:\Sarah\Analysis\Experiments\Random Motorized Treadmill\mice_all.mat');
% Make the list to search through
p... |
043de02d1692a0c1c38949ec4d0b1b3e33e434d693ce3cbec4e24e4cdf21bd38 | MATLAB | 3,026 | 92 | function srmr2_data4stats(subjects, conditions, has_allsubj)
%% set variables
savepath_ga = getenv('GADIR');
srmr_nr = 2;
% setup saved variable
wide.columns = {'id' 'nerve' 'stimType' 'stimLoc' 'eeg-cca' 'brainstem' 'esg-cca' ...
'plexus-eng' 'eng'};
wide.coding.id = {'subject-id'};
wide.coding.nerve = {'median'... |
dbff65d13a12fb2f9b286cf5c81e1e50dbf1c9337148ccb78be9415a1adec00d | MATLAB | 3,026 | 106 | 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... |
18b9f14a86b7677c1a0cd092a97eec0f81bfe9609215639def4a4a3b9102bcdc | MATLAB | 3,028 | 81 | function [H] = quaternion(q)
% QUATERNION returns the homogenous coordinate transformation matrix corresponding to
% a coordinate transformation described by 7 quaternion parameters.
%
% Use as
% [H] = quaternion(Q)
% where
% Q [q0, q1, q2, q3, q4, q5, q6] vector with parameters
% H corresponding hom... |
437dc7064ccbbdd9d38a015e51096b644e7e354e5b076c2e45f7d7a043eca645 | MATLAB | 3,029 | 70 | % Check Hotelling test against known data
temp = load('Testing/swiss.txt');
x = temp(1:100,:);
y = temp(101:200,:);
hotell2(x,y)
% This will not match exactly, since we use the T2-statistic defined by
% Mardia et al.
% From http://sites.stat.psu.edu/~ajw13/stat505/fa06/11_2sampHotel/01_2sampHotel.html
% ... |
bccb07bfef1abe47a62f78fb5cc18cdc3534283c708e117e77c350eee64edc71 | MATLAB | 3,029 | 75 | function [PartialCorrBrain, Header] = y_PartialCorr_Image(AllVolume, SeedSeries, OutputName, MaskData)
% [PartialCorrBrain, Header] = y_PartialCorr_Image(AllVolume, SeedSeries, OutputName, MaskData)
% Calculate partial correlation: the partial correlation between a voxel time series and a given column of SeedSeries, wh... |
340006400954a4aad1d2e24395ff18fbb203cd340f4c8b8ef260939e75cad50e | MATLAB | 3,030 | 85 | function X = fevalMats( fHandle, matCont, prm, srcDir, prefix )
% Used to apply the same operation to all .mat files in given directory.
%
% For each mat in srcDir, loads the mat file, extracts the variables
% denoted by matCont, applies the function fHandle and stores the
% result. matCont must be a cell array of str... |
91a14993414aea48f9e82ce0b405608092092af185970ff7c0307c0226e5094a | MATLAB | 3,031 | 65 | function shuffledCellidxm = shuffleCellidxm(cellidxm, modelParam, network)
% shuffledCellidxm = decode.shuffleCellidxm(cellidxm modelParam, network);
%
% Shuffles rows of the cellidxm matrix following different methods
%
switch modelParam.decodeCellShuffle
case "clusterIndependent"
% Shuffle independently... |
572ad16ece039177eb5a9284dcdbcbba3d82b6e54241d4917e65cb69f502e108 | MATLAB | 3,032 | 102 | function M = centeredmatrixfactory(m, n, rows_or_cols)
% Linear manifold struct. for optimization over matrices with centered cols
%
% function M = centeredmatrixfactory(m, n)
% function M = centeredmatrixfactory(m, n, 'cols')
% function M = centeredmatrixfactory(m, n, 'rows')
%
% Returns M, a structure for Mano... |
8a69fc09828953c649a497e9dec90a86d3d20e1340c1c1cec5c20ae2b78056b5 | MATLAB | 3,032 | 130 | % Re-select te corners after calibration
if ~exist('n_ima')|~exist('fc'),
fprintf(1,'No calibration data available.\n');
return;
end;
check_active_images;
flag = 0;
for kk = ind_active,
if ~exist(['y_' num2str(kk)]),
flag = 1;
else
eval(['ykk = y_' num2str(kk) ';']);
if isnan(ykk(1,1)),... |
c1d62fdc50a0e7a06c0f5d2d2d5de7783c0edfd8834811b6b01f9367a5f55f08 | MATLAB | 3,032 | 85 | %% This file should exist in the same folder with 'createCirclesMask.m' and 'fluorescentimagefile.jpg' files
close all;
clear all;
clc;
I=imread('fluorescentimagefile.jpg');
I_red=I(:,:,1);I_green_origin=I(:,:,2);I_blue_origin=I(:,:,3);
figure(1);
imshow(I_blue_origin);
%% Defining ROI witht the distance fr... |
7d12bda3461915ac56b9e80da9de594bc16698f94858f74988e7ac9bd1306e84 | MATLAB | 3,034 | 73 | function h_makeBGRoi3(handles)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
obj = get(handles.imageAxes, 'Children');%unselectAll.
set(obj, 'Selected', 'off');%unselectAll.
Roi_size = h_getROISize3(currentStruct.state.ROISizeOpt.string);
switch currentStruct.state.roiS... |
20dc756b3bbfef68ae69a3134d6a37cbba6a35602868d4e0ab2e03dac7f35cf8 | MATLAB | 3,035 | 73 | function ApparentPositionVector = SOFAcalculateAPV(Obj)
%SOFAcalculateAPV
% APV = SOFAcalculateAPV(Obj) calculates the apparent position vector
% (APV) which represents the position of the source relative to the
% listener's position and view. APV is in the format [azi ele radius]
% with units [deg deg m].
% ... |
4da3308624d29d75fd2716bc0df975da1b2979c6e6b01a7ee774f6fc9ad10fa8 | MATLAB | 3,035 | 71 | function [EEG , PARAM] = DS_rms(EEG,PARAM)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Envelope of root mean square EEG
%
% Part of detect_spindles toolbox:
%
% Authors: Stephane Sockeel, PhD, University of Montreal
% Stuart Fogel, PhD, University of Ottawa
% Th... |
7d069f6bb08317850fe35832cb401a408c0d028141fe2ed89623e11a0e0599f9 | MATLAB | 3,035 | 95 | % This is a demo script to run EMATA on OPENNEURO dataset:
% Gabriel Castrillon and Samira Epp and Antonia Bose and Laura Fraticelli
% and André Hechler and Roman Belenya and Andreas Ranft and Igor Yakushev
% and Lukas Utz and Lalith Sundar and Josef P Rauschecker
% and Christine Preibisch and Katarzyna Kurcyus and... |
c4fa8ebb3845f3ad12c4bdc6c76cdeb320ef66519edd958e734e801aa70299e2 | MATLAB | 3,035 | 100 | function [val] = filetype_check_header(filename, head, offset)
% FILETYPE_CHECK_HEADER helper function to determine the file type
% by reading the first number of bytes of a file and comparing them
% to a known string (c.f. magic number).
% Copyright (C) 2003-2006 Robert Oostenveld
%
% This file is part of FieldTrip,... |
642799aaefb4e39c5633217987f7756f23ed309d2f874511033b7ae4ecf50881 | MATLAB | 3,036 | 82 | classdef dpabi_Gradient_AddImage_Template < matlab.apps.AppBase
% This file is a paste-ready template for the Add image logic in App Designer.
% Copy the relevant properties and methods into dpabi_Gradient.mlapp.
properties (Access = public)
UIFigure matlab.ui.Figure
AddimageButton matlab.u... |
015dec92a4ee72e4bab733bac67a9614b4c5b800ffa5b0d3ed9dd55c3fd5a9b5 | MATLAB | 3,037 | 90 | % Author: Birgit Nierula (Feb, 2020)
% nierula@cbs.mpg.de
%% SRMR1: Import data from BIDS folder
% This script
% 1) imports the median and tibial stimulation blocks from the bids folder
% 2) removes the stimulus artifact iv: -1.5 to 1.5 ms
% 3) downsamples the signal to 5000 Hz
%% Prep
srmr_nr = 1;
ana_dir = '/data/... |
07423d0570b0c23a4ed88d84af7566910d7723b78ef6124c8386ca3cc977d0de | MATLAB | 3,037 | 81 | function [H] = quaternion(q)
% QUATERNION returns the homogenous coordinate transformation matrix corresponding to
% a coordinate transformation described by 7 quaternion parameters.
%
% Use as
% [H] = quaternion(Q)
% where
% Q [q0, q1, q2, q3, q4, q5, q6] vector with parameters
% H corresponding hom... |
828adde68caaf73a64197ee2231ff62a5637a16d5e49501f794a115a20b4615b | MATLAB | 3,037 | 61 | function parallel_estimate_GLM(stat_path,sots_path,exp_folder,N,TR,model)
% ========================================================================
% Ruslan Masharipov, October, 2023
% email: ruslan.s.masharipov@gmail.com
% ========================================================================
% Number of *.nii im... |
235f9947092658b2ca00e08f3ade95abd809f1b60ede523532502bdeb30b5310 | MATLAB | 3,040 | 159 | function bar = bar_wait(i,n,ops,texto)
% v.0.0.5
% bar = bar_wait(i,n,ops,texto)
% ops : ' xxx ' string with the comand
% M(100) : modo de 100
% m(f) : tipo flecha
% m(c) : tipo centro (default)
% pre(tt) : texto previo a la barra
% pos(xx) : texto posterior... |
d345fc29c3eaceb25959dec40d9eaed5fdafa36225cb081e7e2c2c0db842a050 | MATLAB | 3,040 | 102 | function [v, f, n, c, stltitle] = stlread(filename, verbose)
% This function reads an STL file in binary format into vertex and face
% matrices v and f.
%
% USAGE: [v, f, n, c, stltitle] = stlread(filename, verbose);
%
% verbose is an optional logical argument for displaying some loading
% information (default is fal... |
b51dd0aef5eab6853401e91b1843713d987c1ef6a3224865f555a49b3505720a | MATLAB | 3,041 | 73 | function [model, loglikHist] = mixModelFit(data, nmix, type, varargin)
%% Fit a mixture model via MLE/MAP (using EM)
%
% By default we lightly regularize the parameters, so we are doing map
% estimation. To turn this off, set 'prior' and 'mixPrior to 'none'. See
% Inputs below.
%
%% Inputs
%
% data - data(i, :) is ... |
cfba05dcddc219ccc5bf8cefa59bc454425feaff16cea0369da38ee6c80f14de | MATLAB | 3,041 | 105 | function original = mergeconfig(original, default, emptymeaningful)
% MERGECONFIG merges the fields of a structure with defaults into an original
% configuration structure. The default is only copied in case the field is absent in
% the original.
%
% Use as
% output = mergeconfig(original, default)
% Copyright (C) ... |
d0ae19ad3e1546b36ab41364ee87f5d7df70f4739cf8b25e11b3d640575de71c | MATLAB | 3,042 | 77 | %-----------------------------------------------------------------------------------------
% Correlation of firing rate of odor-modulated amygdala neurons with reference valence ratings
%
% Kehl et al. 2024 (DOI:XX)
% Single-Neuron Representations of Odors in the Human Brain
% Figure 4g
% Author: Marcel Kehl
% Licen... |
f3682f5c47f34aba2e02417ca02ed872e6f21aff9f94d297ad25f90d363edc1d | MATLAB | 3,042 | 69 | function PlotGridSegments(grid_locations, grid_tags, segmenter, text_size, axis_handle, rotation)
if nargin < 6
rotation = 0;
end
x_offset = size(grid_locations,2)/2 + 1;
y_offset = size(grid_locations,1)/2 + 1;
tag_list = {segmenter.Tag};
for i = 1:numel(grid_locations)
[gy,gx] ... |
63d8dfb0a177262059627995db250bd8c5bbc03cf2d21421c1810e1044c3e89d | MATLAB | 3,043 | 93 | %% Dirichlet Distribution Visualization
%
%%
% This file is from pmtk3.googlecode.com
function visDirichletGui(arg1)
%
%
% to run, just type visDirichletGui.
%
%PMTKauthor Jonathan Huang
%PMTKurl http://www.cs.cmu.edu/~jch1/research/dirichlet/visDirichletGui.m
global MYFIG SIMPLEXHANDLE alpha0 alpha1 alpha2 res ma... |
b14351f9e3aa3959262fe951f4bef96b2fd4bf202c08bbdb87bbe9f9ce4d7c7a | MATLAB | 3,043 | 86 | function [data, event, blinksmp, saccsmp] = asc2dat(asc)
% takes asc data from EyeLink file and converts this into events and
% fieldtrip data structure
% create event structure for messages
evcell = cell(length(asc.msg),1);
event = struct('type', evcell, 'sample', evcell, 'value', evcell, 'offset', evcell, 'duration'... |
43f3b96d13c6fbba2310b354029c60c51da10fd67b1c3913f94082e3a8396bd9 | MATLAB | 3,044 | 92 | % FADE-SAME: Figure S5
% clear
% close all
%%% Step 1: load data %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% set results files
FADE_file = '../FADE_scores/FADE_SAME_scores_2021_01_11_FADE_only.xls';
% load results files
[num, txt, raw] = xlsread(FADE_file);
FADE_data = raw(2:end,:);
clear num txt
% ext... |
45339118645ac14584b533aa76ee778842e51be56fe192106bb983c38e7bc154 | MATLAB | 3,044 | 83 |
% Please note that these script consider the parcellation from Joliot and colleagues (2015) and the
% network stucture from Di Plinio & Ebisch, 2018
% Joliot, M., Jobard, G., Naveau, M., Delcroix, N., Petit, L., Zago, L., et al. (2015). AICHA: an atlas of intrinsic connectivity of homotopic areas. J. Neurosci. Me... |
fdec4fa0e4d30d7a301f29e4ee5d927131eaf52113d9083fc8be7ced2deeaf1c | MATLAB | 3,044 | 115 | function mesh = minband_opt(mesh)
% mesh = minband_opt(mesh)
%
% takes an element list and node list and
% sorts nodes to give mimimum BW.
%
% mesh is the mesh variable or filename
disp('Optimizing mesh node order...');
if ~(strcmp(mesh.type,'stnd_bem') || strcmp(mesh.type,'fluor_bem') || strcmp(mesh.type,'spec_bem'... |
216d1ead7f73875517f3f660a105a259b5dc65c6c10c36a6e4ad0374eba86f06 | MATLAB | 3,046 | 86 | % Written by Einat Peled
% einatspeled@gmail.com
%
% Input: ImageArray_CorrAmp_norm: array with response images
% ImageArray_Labels: array with each image split to response labels.
% Output: An image array that shows only the top NumMaxPixels of each
% response
% For each input image: go over individ... |
745e992503c8a2ea9992b1a8b76b3a45e800f03e91c02b2f954209cfbc2d7f6a | MATLAB | 3,046 | 76 | projectFileName = ...
'/groups/branson/bransonlab/apt/unittest/multitarget_bubble_training_20210523_allGT_AR_MAAPT_grone2_UT_resaved.lbl' ;
[labeler, controller] = StartAPT('projfile', projectFileName, 'isInDebugMode', true, 'isInAwsDebugMode', true, 'isInYodaMode', true) ;
%%
pathFromRegularMovieIndex = labeler.m... |
467350ba8bb870631d4af6b61a165d960e3dd6d3102acaf9b100b01a92ee8f09 | MATLAB | 3,048 | 77 | function [ events, waves ] = wlProc_getEvSegmentsUsingMagDual( ...
data, samprate, bpfband, maxglitch, maxdrop, taudc, peakdb, enddb)
% function [ events, waves ] = wlProc_getEvSegmentsUsingMagDual( ...
% data, samprate, bpfband, maxglitch, maxdrop, taudc, peakdb, enddb)
%
% This function identifies the locations ... |
527f753e98f17d908a72389fba1bf2664b48bd2fee900b40fe82f9c5a8b0cd29 | MATLAB | 3,048 | 71 | function shuffled_track = parallel_shuffles(shuffle_choice,analysis_type,num_shuffles,decoded_replay_events)
%runs run_shuffles on multiple cores in parallel
% shuffle_choice- determines what type of shuffles will be performed, entered as a string
%
% analysis type- vector of 0's and 1's for which replaying
% scoring m... |
6f3962c06fd12c635130e7bb8458affed077d6f3f5350a6bcb216d6ff474a598 | MATLAB | 3,048 | 115 | function filter_raw_dat_from_dat(basepath,varargin)
% filter_raw_dat: high pass filters raw neuralynx CSC files and writes them
% to 'filtered.dat'
%
% Ryan Harvey 2019
% Modified for probes Laura Berkowitz 2020
% addpath(genpath('D:\Users\BClarkLab\ephys_tools\external_packages\analysis-tools'))
% parse input
p = inp... |
9f7b6007a545f3ce1440f7f2a5406882b61961fadc70081303e07930c56b468d | MATLAB | 3,048 | 87 | function plotifl(t,iflaws,signal);
%PLOTIFL Plot normalized instantaneous frequency laws.
% PLOTIFL(T,IFLAWS,SIGNAL) plot the normalized instantaneous frequency
% laws of each signal component.
%
% T : time instants,
% IFLAWS : (M,P)-matrix where each column corresponds to
% the instantaneous f... |
67dd0e8f47e46d9eeaeb703aacbd36a535012c58c741e06ed9226decd2714365 | MATLAB | 3,049 | 107 | function [P,W,m,nmax] = ggmLassoHtf(S, lambda, varargin)
% Estimate structure of GGM precision matrix using the "GLASSO" method
% See Hastie, Tibshirani & Friedman ("Elements" book, 2nd Ed, 2008, p637)
%
% Solves: P = argmax log(det(P)) - Trace(S*P) - lambda * ||P||_1
%
% [P, W, Nouter, MaxInner] = glasso(S, lambda,... |
cf5cb51a4f07386a547f8760978016432e169cd5adbd0f9b9cb8535f8d0fe444 | MATLAB | 3,049 | 107 | %% CENTROID DISTANCES: compute all distances between centroids, look at histogram
clear euc_dist
all_dist = [];
for i=1:length(cent_re)
clear euc_dist_small
z=1;
for j=1:length(cent_re)
if(j~=i)
euc_dist_small(z) = sqrt((cent_re(i,1)-cent_re(j,1))^2 + (cent_re(i,2)-cent_re(j,2))^2);
... |
d6dcbcfb9bd220e2ec63d514f22a4b0386498fa148ba6fa814c58886bb1bac94 | MATLAB | 3,049 | 92 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% ft0_create_model.m %%%
%%% This script creates a volume conduction model for the selected %%%
%%% conductivity set. %%%
%%%%%%%%%%%%%%%%... |
4b431bf52975da9d4ddfb8728bd7e5715589465847e3146d8907143721bba704 | MATLAB | 3,050 | 38 | function [decoded_replay_events2, bayesian_bias]=renormalize_decoded_replay(decoded_replay_events,tracks_to_compare)
if ~isempty(tracks_to_compare)
for track_pair = 1:length(tracks_to_compare)
for i=1:length(decoded_replay_events(1).replay_events)
rescaling_matrix=sum(decoded_replay_ev... |
6a1444f70b2e98bda8abe193bd31c6dc5bc52b22c6596be3af668977e3adfa3d | MATLAB | 3,050 | 84 | % Noam Saadon-Grosman
% August 2020
% This code creates selectivity surface map from the output of "Selectivity_computation"
%%% input: some files are in BrainVoyager format, for matrices extracted from
%%% other formats exclude the xff command. Fill in names and directories
% Template BrainVoyager map
% Somatose... |
fd44d3bedd0462f63a9c1b2f1bc63d72fb0c1ff6d801f5fa7ebf4e24df656e62 | MATLAB | 3,050 | 108 | function hhh=vline(x,in1,in2)
% function h=vline(x, linetype, label)
%
% Draws a vertical line on the current axes at the location specified by 'x'. Optional arguments are
% 'linetype' (default is 'r:') and 'label', which applies a text label to the graph near the line. The
% label appears in the same color as ... |
5a2bf4b90211912dd8de82f896ab42a75322b3d10cc70cbf86067c02ec0402df | MATLAB | 3,053 | 107 | function varargout = pdftops(cmd)
%PDFTOPS Calls a local pdftops executable with the input command
%
% Example:
% [status result] = pdftops(cmd)
%
% Attempts to locate a pdftops executable, finally asking the user to
% specify the directory pdftops was installed into. The resulting path is
% stored for futur... |
25349fee67c74c36e7d345987c0454b7c66ea21fc81d7698f7a62bc83b59015d | MATLAB | 3,054 | 98 | function prepare_roidata(rootPath)
%
% This script was written for preparing preprocessed MRI data for cowen &
% keltner movie clip presentation data, which were pre-processed by the fmriprep.
% The data was devided into individual ROIs.
%
%
% call prepare_roidata_individual.m
% called from emotion2020_analysis_BA... |
4f8e4557a0173827fbe8662254000dd65f723a019d8ebc0890295f31083610c7 | MATLAB | 3,054 | 81 | function [options,dim] = getOptions4dcm(A,B,C,D,TR,microDT,n_t,homogeneous,reduced_f,lin)
% builds the options structure from basic DCM info
%
% function [options,dim] = getOptions4dcm(A,B,C,D,TR,microDT,n_t,homogeneous)
% IN:
% - A: binary matrix indicating where the connections are
% - B: cell-array of binary mat... |
0e88ddc9d15b0c7810ba6fde94ea03040ed63bdb4a306b20e906982171228706 | MATLAB | 3,055 | 117 | function A = import_data(fname)
%IMPORT_DATA Import tensor-related data to a file.
%
% A = IMPORT_DATA(FNAME) imports an object A from the file named FNAME.
% The supported data types and formatting of the file are explained in
% EXPORT_DATA.
%
% See also TENSOR, EXPORT_DATA
%
%MATLAB Tensor Toolbox.
%Copyrigh... |
a5e3ba82c75d07102b2723ebb483b5a6065bf64989ae97317c71713197ce9909 | MATLAB | 3,055 | 129 | %% Interpolate some data using a joint Gaussian
% Based on p140 of "Introduction to Bayesian scientific computation"
% by Calvetti and Somersalo
% See also https://users.oden.utexas.edu/~tanbui/PublishedPapers/BayesianTutorial.pdf
setSeed(1);
D = 150;
Nobs = 10;
xs = linspace(0, 1, D);
perm = randperm(D);
obsNdx = p... |
b3966db44cb7346d32febb9ae071691cff705163d0e5dde71accf80e1f2eec31 | MATLAB | 3,056 | 99 | clear all
close all
clc
%% Setup
% Set parameters
num_nodes = 214; % number of time series, also, number of ROIs`
wkDir = '/home/mri/MDD_kangning_projects/MDD_symptom_specific/inputs/timeseries_Power_typical/';
signal_file = '_timeseries_power264.csv'; % input the postfix of the file name
outdir ... |
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