sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
c0ca08268cbaf6c96722985e423bf5d3ae289eff5364fae02cdd3545e0a127c5 | MATLAB | 2,631 | 74 | % This is an example script that segments audio data and
% can be used to transcribe verbal responses.
% There are two options here:
% (1) a continuous recording that first has to be segmented
% into potential words (with some post-hoc control)
% (2) a structure, in which every recording corresponds to a... |
694a2270bf3e686d990e1e0472bb0de64ad24e0841271fe4b8e98d2e0757d908 | MATLAB | 2,632 | 77 | function mesh = prepare_mesh_tetrahedral(cfg, mri)
% PREPARE_MESH_TETRAHEDRAL
%
% See also PREPARE_MESH_MANUAL, PREPARE_MESH_HEADSHAPE,
% PREPARE_MESH_HEXAHEDRAL, PREPARE_MESH_SEGMENTATION
% Copyrights (C) 2016, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the docume... |
7ebc0f02d1173c8d60b82eb17d10dd9e0477f0506b832507eb0e98e7bea05d49 | MATLAB | 2,633 | 91 | %% Compare the class separations induced by PCA and Fisher LDA respectively.
%
%%
% This file is from pmtk3.googlecode.com
function fisherLDAdemo()
%
%% Generate data
setSeed(0);
mu = [1 3; 3 1];
Sigma = repmat([4 0.01; 0.01 0.1], [1, 1, 3]);
mixweight = [0.5 0.5];
nsamples = 200;
[X, Y] = mixGaussSample(mu, Sigma, ... |
95458b2597214d7714b597e8f9a7307fe109db3ed1d2ac678526f5a8cc3ad912 | MATLAB | 2,633 | 68 | %% 非线性（动力学）特征：基于时频的熵 | nonlinear features: time-frequency-based entropy
%% 希尔伯特-黄谱熵 | Hilbert-Huang Spectral Entropy (HHSE) (P227)
% 1. 对于非平稳时域信号x(t)，经EMD将其分解为一系列IMFs（1,...,N）
% 2. 对IMFs分量进行Hilbert变换，得到IMF的解析表示
% 3. 基于IMFs的解析表示，计算归一化后的Hilbert-Huang spectral
% 4. 将香农熵算法应用到Hilbert-Huang spectral中，即得到Hilbert-Huang spectra... |
a53db048013f9a4cc393e5c5f970928e073e3a5e3081b6dc198c8dcb4432c9f9 | MATLAB | 2,635 | 82 | % Main script for the state switching EEG experiment (Ocober 2017)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% enter subject ID & task variant %%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
prompt = {'Enter subject ID:','Enter paradigm (dynamic/words/visual):'};
dlg_title = 'StateSwitch Input';
num_lines = 1;
defaultans = {... |
adddb4cf9f8040b19e179f3d1aa94d9a30a163ff436aa4011662cb9b10bf4aef | MATLAB | 2,635 | 108 | %%% This script alets the user enter the name of the images (base name, numbering scheme,...
% Checks that there are some images in the directory:
l_ras = dir('*ras');
s_ras = size(l_ras,1);
l_bmp = dir('*bmp');
s_bmp = size(l_bmp,1);
l_tif = dir('*tif');
s_tif = size(l_tif,1);
l_pgm = dir('*pgm');
s_pgm = siz... |
9ee7f7f4498aea846d015e1906e2a45271bb2e32b22482b1dbfd53bbb3867f25 | MATLAB | 2,636 | 94 | function cMap = makeColorMap(varargin)
% MAKECOLORMAP makes smoothly varying colormaps
% a = makeColorMap(beginColor, middleColor, endColor, numSteps);
% a = makeColorMap(beginColor, endColor, numSteps);
% a = makeColorMap(beginColor, middleColor, endColor);
% a = makeColorMap(beginColor, endColor);
%
% all colo... |
52e4a52ca1e1b400503c3a842ac6c926a8175ef2f7862b306ffc94c13edf4f75 | MATLAB | 2,637 | 88 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function other_prepro_findpeak(subject, condition, srmr_nr)
%% finds CNAP/SNAP peaks
%% set variables
subject_id = sprintf('sub-%03i', subject);
analysis_path = [getenv('OTHERDIR') subject_id '/other/prepro/'];
if ~exist(analysis_path,'dir'); mkdir(analysis_path); end
r... |
8d90a07825c64acbaf282b5ea4e31236741f517801fd8b4da78d718ef7930479 | MATLAB | 2,637 | 98 | function [P,err,Pfront,Pside,ptfront_re,ptside_re] = dlt_2D_to_3D_point(dlt_front,dlt_side,ptfront,ptside,varargin)
[geometricerror,Sfront,Sside] = myparse(varargin,'geometricerror',true,...
'Sfront',[],'Sside',[]);
if size(ptfront,1)==1 && ndims(ptfront)==2,
ptfront = ptfront';
end
if size(ptside,1)==1 && ndims(... |
c2d408903a56573e1ecc4f46f40063648bce2e31cd51fff3c0b6d126197f0cfb | MATLAB | 2,637 | 91 | % inputs:
% x is the N x 1 matrix of N unidimensional data points
% l is the N x 1 matrix of N corresponding labels, where l(i) can
% be either -1 or 1
% thresh is the best threshold such that almost everything on one
% side of the threshold is of one class and almost of everything on
% the other side is the other clas... |
97a53b1472e6235b43b253fefb834b6bfa979888b26cb75124f54aafb9d4dbc1 | MATLAB | 2,638 | 90 | function [data, stamps, f] = fmf_read( filename, f_start, nframes, incr, show_progress )
% [data, stamps, f] = fmf_read( filename, f_start, nframes, incr, show_progress )
%
% reads FlyMovieFormat data from FILENAME
%
% starts with frame F_START (1-based) [defaults to 1], reads NFRAMES [defaults to inf]
%
% DATA is HxWx... |
af259385d239cf863cab9994b6ccda49d9c0fa76e610d137c2eb8175d67c2faf | MATLAB | 2,638 | 64 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef TagType < uint16
%TAGTYPE Enumeration of the types of tags that are known.
enumeration
%Deleted: Tag revision where this TagGUID has been deleted
%remarks: This is a sp... |
c057a5f76bf1c7953bb7cc6304a6b88fba0223fac875cfefd6eb830e3f9568db | MATLAB | 2,638 | 80 | %_______________________________________________________________________
%
% screenInfo = openExperiment(monWidth, viewDist, curScreen)
%_______________________________________________________________________
%
% openExperiment initialize screen settings for new experiment
%_____________________________________________... |
34c37489a956081ea2ba9074f88bf4c635b57b2f8b0019a987b1e17355c48a39 | MATLAB | 2,640 | 70 | function trial_summary = trialSummary(paths, excel, excel_path)
% This function generates a summary of the number of correct trials,
% incorrect trials and total trials per participant.
% How to use:
% call the function with the following command in the command window or as
% presented in the main_template: trialSumm... |
cbe55ff634bcd1d6a402b03b1189a611e4f83f0bb39c57106bb28d92abb19f3b | MATLAB | 2,640 | 93 | function ms_view_clusters_0(features,labels)
%MS_VIEW_CLUSTERS - 2D or 3D view of clusters in feature space, colored by
%labels
%
% Syntax: ms_view_clusters(features,labels)
%
% Inputs:
% features - RxL array of features (R>=2), e.g., optained by
% mscmd_features or ms_event_features
% labels - 1xL... |
128ae44cf7ed7e4ec76938744102238c17376cf01b7984da08b1b7fec858a116 | MATLAB | 2,641 | 78 | function mni2sub_GM_WM(out_path)
%MNI to subject's space coregistraion using FSL FLIRT. it requires WSL to work in Windows Systems
%
%out_path: folder which contains the Pseudo_STATIC PET image. It will be used to store the coregistered images and the transformation matrix
%
%template_path: folder which contains the MN... |
1ce3fa533937c58788bc0d985491e8a4fdcebc15819b48519a0b6443fa0e7795 | MATLAB | 2,641 | 68 | function CBIG_RF_make_xyzIndex_vol(template, output_dir, output_prefix)
% CBIG_RF_make_xyzIndex_vol(mask, output_dir, output_prefix)
%
% This function creates index volumes from a template (e.g. MNI152)
% The index files contains matrix of x/y/z RAS coordinates of each voxel
% in the template's space, i.e. with the s... |
0fa72e0532e384351557dc099b426c04e565f5d9b3e1c143a0806dd41c8c47dc | MATLAB | 2,642 | 56 | function Obj=SOFAconvertTUBerlin2SOFA(irs)
% OBJ=SOFAconvertTUBerlin2SOFA(irs) converts the HRTFs described in irs
% (see TU-Berlin HRTF format) to a SOFA object.
%
% SOFA API - demo script
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences
% Licensed under the EUPL, Version 1.1 or –... |
171843f08b15d63924c34abf35f31e351f5afedf192c264f0f33e13ccd274c5c | MATLAB | 2,642 | 113 | % 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,... |
3f7b7ff4b83ce18350804bff920db24e6e7287e348295f4689713405b948958c | MATLAB | 2,642 | 71 | function [a,res_out,k,field_theo]=dipole_fit_highlevel(sc,f,ndip,par); %
forwpar=sc.fp;
% fits an n-dipole model to a given surface potential or magnetic
% field at one time-point using the Levenberg-Marquadt method.
%
% usage: [a,res_out,k,field_theo]=dipole_fit_highlevel(sc,f,ndip,par);
%
% input:
% f: nx1 vecto... |
4a43eae605f1121b71872dc7fa29811c6e1874f889737ed77fecb263bf0fccdb | MATLAB | 2,643 | 62 | function [row, col] = getTilePositionFromTerastitcherXML(tileNum, xmlStruct)
%getTilePositionFromTerastitcherXML: Process terastitcher input xml
%file, which includes the row and column orders from. The input,
%xmlStruct was loaded by parseXML.m, which was originally taken from
%the MATLAB documentation... |
a9d0190a46ea0a7df371c2f892321504cb3f9befde0661023e2adc490e301caa | MATLAB | 2,643 | 118 | %load data: contact lead author
%%
figure
for n=1:length(allCellTypes2)
subplot(1,3,n)
a=allCellTypes2{n};
c={};
c{1}='both';%common
c{2}='ao';%unique
c{3}='vs';%unique
c{4}='none';%unique
if n==1;
color=[1 0 1];
elseif n==2;
color=[0 1 0];
else
color=[0.5 0.5 0.5];
end
color... |
a63cf1cb9a454137337a3f8dd3b5d78a071ed166cf1eb42f126e93e9de1f1eb9 | MATLAB | 2,644 | 58 | %% ·ÇÏßÐÔ£¨¶¯Á¦Ñ§£©ÌØÕ÷£º»ùÓÚʱƵµÄìØ | nonlinear features: time-frequency-based entropy
%% С²¨ìØ | Wavelet Entropy (WE) (P226)
% 1.¼ÆËãÿһ¶ÎÐźų߶ȵÄС²¨ÄÜÁ¿
% 2.½«¸÷С²¨ÄÜÁ¿³ýÒÔ×ÜÄÜÁ¿£¬ÒÔ»ñµÃ¸÷³ß¶ÈjµÄÏà¶ÔС²¨ÄÜÁ¿
% 3.WE¼´²»Í¬³ß¶È¼ä·Ö²¼µÄìØ
% µ±ÄÔµçÐźűíÏÖ³ö¸üÇ¿µÄ¹æÂÉÐÔʱ£¬¼´Éñ¾Ôª»î¶¯³öÏÖͬ²½µÄÏÖÏó£¬Ð¡²¨ìØÖµ½«½µµ... |
b4847c84713cf94e819634961abe8541e0cc03cc5cd2c0c81e93362a06080aa9 | MATLAB | 2,644 | 72 | % evalargs.m
%
% usage: evalargs(varargin)
% by: justin gardner
% date: 12/13/05
% purpose: passed in varargin, returns a string
% that once evaluated sets the variables
% called for. Thus, allows arguments like:
%
% fun('var1','var2=3','var3',[3 4 5]);
% ... |
e05921fbbecb3a63e259ad631bbd1646e35006bec185e32b04b013d5d9be10c2 | MATLAB | 2,644 | 76 | % Finding Patches from IRES Solution
% Abbas Sohrabpour
% 20/2/2018
% Zhengxiang Cai
% 30/10/2018
% This version has been vastly improved by removing extra for loops by
% using cell arrays and using the unique command and more importantly by
% defining a global pointer that avoids checking all global indices by ... |
cc91e6e973e336bc8f9a35f48f9dea09024832d5a3ed7b8c5e0e5759b02a6900 | MATLAB | 2,646 | 100 | % this script averages the fluorescence traces for npulses light pulses.
% takes in the BG corrected fluoro trace (from get_fluoro_changes),
% and the pulse image starts and ends (from get_v_trace_ORCHID),
% and averages the light responses for each optogenetic activation/
% NB - if the trace has a . extension (ie 004... |
50dfb1214c021bb9432b97938320f51398e6e8c419b27c4a2cca0ae3c2f28526 | MATLAB | 2,647 | 85 | %% GSA_Init_MultiOut_MultiSI: initialize the variables used in the GSA computation
%
% Usage:
% pro = GSA_Init_MultiOut_MultiSI(pro)
%
% Inputs:
% pro project structure
%
% Output:
% pro updated project structure
%
% -----------------------------------------------------------------... |
826aacf7b2d9815398fd73bdd2770355bbb719e55495c0c5ff022378c740e387 | MATLAB | 2,648 | 70 | function imData=read_file(path_to_file,sframe,num2read,options)
% Reads uncompressed multipage .tiff, .hdf5, .avi or .raw files
% Usage: my_data=read_file('path_to_data_file, start frame, num to read);
% INPUTS:
% path_to_file: location of file to be read
% sframe: first frame to read (optional, defau... |
a19629be15a79815e4e8e614a8bf1e8b6dedfaa4826794e7b01883e57c807c24 | MATLAB | 2,648 | 73 | function [Kernel, features, D] = build_kernels_main(datadir, hmmdir, kerneldir, HMM_name, only_1st, Fn, Kn)
% [Kernel, features, D] = build_kernels_main(datadir, hmmdir, kerneldir, HMM_name, only_1st, Fn, Kn)
%
% build kernels from HMMs (wrapper for hmm_kernel.m)
%
% Input:
% datadir: directory for HCP rsFMRI timec... |
f4412f819860348f436b9ead1562ef16f8a716e170a399c8b4fd086e2e6f08c7 | MATLAB | 2,648 | 83 | function SleepCheck(sessionDir)
ecogStr = 'eco';
targetEcog = 'ECoG1';
lfpFs = 500;
bytesPerSample = 2;
scrsz = get(0,'ScreenSize');
scrWidth = scrsz(3);
scrHeight = scrsz(4);
vScale = 0.000195;
% identify task-based data folders
fileDat = dir([sessionDir filesep 'IM*']);
idx = arrayfun(@(f) f.isdir, fileDat);
folde... |
2cb3c3c26e76ff8adc211d7c642028b8e30e231dac3793b30f2f78256ec4e88d | MATLAB | 2,649 | 87 | function [vw_nuisance, vw_nuisance_comps] = canlab_extract_ventricle_wm_timeseries(mask_image_dir, imgs, varargin)
% function [nuisance, nuisance_comps] = canlab_extract_ventricle_wm_timeseries(mask_image_dir)
%
% This function extracts data from ventricles and white matter for each
% time series. You can include vw_n... |
42979e89ed421d899a6f371802909d7be78a806be748beee9cc36ac5edfcd46e | MATLAB | 2,649 | 74 | function egrad = getPartialEuclideanGradient(problem, x, I, storedb, key)
% Computes the Euclidean gradient of a subset of terms in cost function.
%
% function egrad = getPartialEuclideanGradient(problem, x, I)
% function egrad = getPartialEuclideanGradient(problem, x, I, storedb)
% function egrad = getPartialEucl... |
49f9581296ccaf2b88dea55a8d35ccdb0763613b82bd74560e5ef91d01064ef4 | MATLAB | 2,650 | 106 | function M=make_transformation_matrix(t,r,s,h)
% This function make_transformation_matrix.m creates an affine
% 2D or 3D transformation matrix from translation, rotation, resize and shear parameters
%
% M=make_transformation_matrix.m(t,r,s,h)
%
% inputs (2D),
% t: vector [translateX translateY]
% r: vector... |
03f85aad1f0ac83ddeb4ec270af3534fb997e5c8cecb5aeed176e795d3f9b508 | MATLAB | 2,651 | 83 | function PlotFigure2(vars, varNames)
% Plot figure 2
%% load up if not given
if nargin==0
load('Figure 2 - Source Data 1.mat', 'vars')
% vars is struct with fields of [nPP, nConds, nDrug, nTr]
varNames = {'depAngle'}; % just this
end
%% first plot fig2b - calling PlotFigure1 on mean... |
3a0e50aea3e6feeb9708b81762785747f67c0a1f6e9ea94ee0900d3d8c2bcf14 | MATLAB | 2,652 | 100 | function wlPlot_plotEventsWithAux(cfg, evlist, evstride, ...
topcurves, midcurves, botcurves, figtitle, filelabel)
% function wlPlot_plotEventsWithAux(cfg, evlist, evstride, ...
% topcurves, midcurves, botcurves, figtitle, filelabel)
%
% This function plots a series of events, making three-pane plots with
% select... |
8d83548a9bb0d3428141cf7ffd79dd85304a2de127bdcfee38cdabe3eccfdae8 | MATLAB | 2,652 | 56 | function h_addToCurrentGroup3(handles, filename)
global h_img3;
if ~iscell(filename) % this way so that it can handle many filenames at a time.
filename = {filename};
end
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
if isfield(h_img3.(currentStructName),'activeG... |
527a8065882b2d74e152500fc18344e378ed53fd4711250f349dad2a17331cf9 | MATLAB | 2,654 | 84 | function [jtree, logZ] = jtreeCalibrate(jtree)
%% Calibrate a junction tree
% jtree is a struct as returned by e.g. jtreeCreate
%
% logZ - log of the partition sum
%%
% This file is from pmtk3.googlecode.com
cliques = jtree.cliques;
preOrder = jtree.preOrder;
postOrder = jtree.postOrder;
preO... |
70acadcfcbd810e55d1e6a0bf5a72f16a8d6aae88ad4443190f1e60e5af1bd01 | MATLAB | 2,654 | 116 | function LAN = dividir_eeg2lan_old(EEG, pr, sg, op, filename1, filename2)
% function dividir
% EEG = datos en estructura eeglab (EEG.data)
% pero con campo EEG.time segun formato LAN
% pr = epocas de la primera divici??n
% sg = epocas de la segunda divici??n
% op == 1 separa la primera divici??n
% == 2 separ... |
7864747cbdadd7afa266074e4139f354d43560813d5d8a9793ccbcfa8458fcb2 | MATLAB | 2,654 | 93 | %CONVNSEP Separable N-dimensional convolution.
% C = CONVNSEP(h,V) performs an N-dimensional convolution or matrix V
% with N kernels defined in the cell array h.
% C = CONVNSEP(h,V,'shape') controls the size of the output. (See help
% for Matlab's CONVN function).
% Example: create a random 4-D array, conv... |
6401bdc095601aa8a439cb01d69c3d90691d520e2d21ca80aa8e851fedaed3c9 | MATLAB | 2,655 | 68 | % mexSptxModal help file for mexSptxModal MEX-file.
%
% Finds best 2 way split in matrix of floating point numbers
% along 2 of the dimensions/columns hereafter referred to
% as measurements
%
%
%
% OUTPUT ARGUMENTS
%
% X - an integer for the 1st of 2 measurements where best split is found
%
... |
cac5dee64b4555f45f0482b5bb127f10b2bfdd0ac1fd4032d55351e1d815971c | MATLAB | 2,655 | 87 | function [params]= fitgaussrf(spx,spy,img, varargin)
%DOGRECEPTFIELD
%==========================================================================
%define ranges
cx = median(spx);
cy = median(spy);
dx = abs(mean(diff(spx)));
dy = abs(mean(diff(spy)));
[X,Y] = meshgrid((spx-cx)/dx,(spy-cy)/dy);
%=======================... |
6aa58ac64a2c2053068231ba92d23b040c776418c12662f8ece8b91dbc90266a | MATLAB | 2,656 | 92 | function [output,state,EE,F,SMA] = ACC_Activity(X,Fs)
%% = Estimate Activity from ACC and adaptively adjust bandpass Filter = %%
%% ============================== Method ============================== %%
% Uses the Signal Magnitude Area (SMA) Or Energy Expenditure to estimate
% the Current activity level of the subject... |
91d6f187792c14f7e3a0960e970d856400e45e44671fc4093b15a39f2636305f | MATLAB | 2,656 | 83 | function boxplotScatter(data, Title, yaxe, withlines, sumstats, errstats)
% this is a function to plot a box and a scatter plot of the data
% data is a table with labels corresponding to the categories
% title is the title of the plot
% yaxe is the yaxis label
% withlines is boolean to indicate if to plot with conn... |
e18b1959911b4d336adf7ca5d033ae9db31b86dd37b859b3b2978c4ceaf71d8d | MATLAB | 2,656 | 84 | function mdlparams = fitDoGModel(mdlparams, stiminfo, stimorder, yy)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
mdlfit = mdlparams;
rmax = mdlparams.rmax/2;
mdlfit.surrktwts = -mdlfit.ktwts/20; %small sur... |
3bd952dbe2812abbb3faa85b34df33aa11b6869f3134fdbfeea0a03f4f1276ae | MATLAB | 2,658 | 59 | function DataStructure=LinearFit_ZN1(Xdata,Ydata)
if size(Xdata,1)<=1&&size(Xdata,2)<=1&&size(Ydata,1)<=1&&size(Ydata,2)<=1
warning('Need to provide more than one data point to fit!')
DataStructure=[];
elseif size(Xdata,1)~=size(Ydata,1)||size(Xdata,2)~=size(Ydata,2)
warning('Need to pro... |
ff3366b8bafcb78e313a2fa20ee19b8ff577be192fb644113e938e90c5ef30a2 | MATLAB | 2,658 | 105 | % this class fits an exponential curve to fluoro data and subtracts the curve,
% this corrects for photobleaching/trends
function [corrected, uncorrected] = correct_photobleaching_zeroed (data, zeroed, savedir, timef)
N = size (zeroed, 2);
%N=size (zeroed,1);
n = (1:1:N);
g = false;
uncorrected = false;
while g == f... |
1313f9b188ee279d095c54d073115c41b6db5c995c85c0bdbb6f6d3c1b250fb4 | MATLAB | 2,659 | 79 | %new googlenet for feature extraction28/5/2020
%acuracy data set of 10 printer
clc
close all
clear
% images=testreaddata();
images=imageDatastore('D:\Doaa_PHD\PHD2020\2nd paper\code\custom cnn48\KDEF','IncludeSubfolders',true,'LabelSource', 'foldernames')
images.ReadFcn = @(filename)readAndPreprocessImage(filen... |
80c73ef10fb9c09f0a59fd7423ccbf8b73f76782d02996291ae0472031f997f3 | MATLAB | 2,659 | 115 | % This script produce a few panels of figure 2 (remaining panels require large-files)
%% Initialization
clear all
ignit
% ignit_cribay
% papignit_effcc
% ignit_datsrv
%% figure plate
clf
%% load the data
load(fullfile(pds.data.rep.effcc, ['avData_allEcn', '.mat']))
load(fullfile(pds.data.rep.effcc, ['summaryInfoTab... |
904452bf7b9d88ddff66ac2b703a8153243dc932842502b635a65fc4e51b8170 | MATLAB | 2,659 | 77 | function [PathwaySignal,PathwayGwave,PathwayTrans] = PathwayGenerateOrder(Signal,State,Gwave,Trans,opt)
%%
%Set initialisation Parameters
ind=1;ind2=1;ind3=0;
start=1;finish=1;
PathwaySignal=[];
PathwayTrans=[];
PathwayGwave={};
GOrder=State{1}(1);
%%
%Estimate E1 & E2
E1=exp(-opt.TR/opt.T1);
E2=exp(-opt.TR/opt.T2);
%%... |
410434829bce0fcebcf39da96716bba93381144b026cb75e438c648bf346a91b | MATLAB | 2,660 | 98 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function figure_cortical_isopotentialplot(dat, subjects, condition, srmr_nr, is_au)
% get info
[cond_info] = get_conditionInfo(condition, srmr_nr);
cond_name = cond_info.cond_name;
[eeg_chans, ~, ~] = get_channels(15, false, false, srmr_nr);
%% merge data
all_chanvalue... |
036f9cf588230fb9e545f659c6704c8ff2931bead2fa81d371c7f86c6ecf6352 | MATLAB | 2,661 | 97 | function model = bpb4parcs(model,k,B,alpha)
% Block-Permutation Bootstrap for PARCS, Algorithm 3, as
% described in Toutounji and Durstewitz (2018) Front Neuroinform.
% Please refer to 10.3389/fninf.2018.00067 for details
% INPUT:
% model: PARCS model structure;
% k : block size for bootstrap
% B : number of b... |
16f7331542d1c27240f7308d829aba926473146f114fb8c9634a03d6c70d725e | MATLAB | 2,661 | 90 | function pmtkPublish(file, varargin)
%% A modified version of the builtin publish command
% For every foo.m found in the comments, if foo.m is part of the PMTK
% suite of google code repositories, it is replaced with its full html
% link. Similarly for foo.html.
% This allows us to write 'see foo.m for details'
% and t... |
5ffa1a4955093cf807b5369db944b0a5520bb2c92744301965475c586f25cdd5 | MATLAB | 2,661 | 113 | %SUPTITLE Puts a title above all subplots.
% SUPTITLE('text') adds text to the top of the figure
% above all subplots (a "super title"). Use this function
% after all subplot commands.
% Drea Thomas 6/15/95 drea@mathworks.com
% Warning: If the figure or axis units are non-default, this
% will break.
function hout=su... |
6473cb1abbf5806167a34296e5795f2202383a0df613b92389280774a9255137 | MATLAB | 2,661 | 112 | function value = getConfigValue(var, ignoreLocal)
%% Return the value of a configuration variable stored in config.txt
% If a config-local.txt file is found, its values override config.txt's
% values.
%% Example
% path = getConfigValue('PMTKsupportLink');
% This file is from pmtk3.googlecode.com
if nargin < 2, ignor... |
8964f1f77a6b06305da8de1d8ac997511864b1a161b1fe428140ff5a3e5d530d | MATLAB | 2,661 | 125 | function [fv,bp,yy,myfft] = splineDetrend(v,varargin)
% What it does:
% A spline detrend with knot points every 2 s (hard coded number)
% I made this up too - it's not the FDA approved method.
%
% :Usage:
% ::
%
% [fv,bp,yy,myfft] = splineDetrend(v,'p' [opt])
%
% :Input:
%
% **v:**
% a vector to be detrend... |
c5ccfd7a30f60c9bae26d36118919f2f2d347aa89cdbac15eab43062e1171038 | MATLAB | 2,661 | 93 | function gtdata = GTGetMFTInfo(lObj,gtdata,vwi)
if ~exist('vwi','var'),
vwi = 1;
end
if isstruct(lObj),
labeledpos = cellfun(@SparseLabelArray.full,lObj.labeledposGT,'uni',0);
else
labeledpos = lObj.labeledpos;
end
nets = fieldnames(gtdata);
nnets = numel(nets);
for neti = 1:nnets,
net = nets{neti};
... |
ed5f7a866e350594ea9cb11907443a5fdcb2557f187e992f9c7c08d76cbc388e | MATLAB | 2,661 | 76 | % Purpose: Calculate the Autonomy Index (AI) following formula in Wang et al. 2014.
% Inputs: An averaged FC matrix (fsaverage6) for each participant.
% Outputs: rh_labels and lh_labels containing AI values for each vertex.
%
% Written by M. Peterson, Nielsen Brain and Behavior Lab, under MIT License 2022
% To run:
%... |
336c6f3919ec91c71073863c177b7132541a664d01df136f5aa51888fb77ea77 | MATLAB | 2,664 | 55 | function test_adjust_contrast_tool_placement()
% Test that the Adjust Contrast tool opens at its aligned position.
%
% imcontrast_kb() aligns the tool window to the target figure with
% iptwindowalign() (left edges aligned, tool top at the target figure
% bottom, clamped to stay onscreen). On >=R2025a, figure windows ... |
524683d46589d9c3df36eaf6fbece397cd251d1ab8142a95be9c770c0764c006 | MATLAB | 2,665 | 92 | % this script demonstrates the simulation and inversion of a k-ToM learner
clear all
close all
clc
K = 1; % depth of k-ToM's recursive beliefs
PERS = 0; % flag for additional perseveration component
payoffTable = cat(3,[1,0;0,1],[0,1;1,0]); % game payoff matrix (here: hide-and-seek)
role = 1; % player's role (here: ... |
586397908c8fb7ff0fdea1dfaefa3509af0ea4d5d2a2ae3dd86f62fb693da512 | MATLAB | 2,665 | 62 | function sdgm = dgmSeqCreate(intra, inter, slice1CPDs, slice2CPDs, emission)
%% Create a sequential directed graphical model, (aka a dynamic Bayes net)
% *** work in progress ***
% To create the model you need only specify the two-slice dgm, (2TDBN) as
% follows, and it will be automatically unrolled by e.g. dgmSeqFit... |
8f78b23469405c5f30ceb7065ef93bb12a7eed4c34cd7ad2b8ae1cb4e367e431 | MATLAB | 2,666 | 34 | %% parameters governing spike detection
ops.spkDetectSignal = 'SNLE'; % signal used to detect spikes
ops.relSpkThr = 6; % threshold for detecting spikes by NLE or voltage, in units of signal standard deviation
ops.deadTime = 0.5; % min interval bewtween spikes, in ms
%% waveform alignment parameter... |
2b1485a0cf93ceec67d7cb538c9c6759d9be5fe9832b05314b044d3f7898a7b0 | MATLAB | 2,667 | 84 | function outfiles = split_ufmf(infile,outfilestr,chunksize,varargin)
[startframe,endframe,dooverwrite] = ...
myparse(varargin,'startframe',1,'endframe',inf,'dooverwrite',false);
% read in the header
header = ufmf_read_header(infile);
endframe = min(endframe,header.nframes);
noutfiles = ceil((endframe-startf... |
8eec8997f109038270c619a6b126544b4ba7815312251ed6a06f8515b656b896 | MATLAB | 2,667 | 80 | function [posterior,options,dim,suffStat] = VBA_odeLim2NLSS(posterior,options,dim,suffStat,u,flag)
% recollect posterior structure from ODE limit
% function [posterior,options,dim,suffStat] =
% VBA_odeLim2NLSS(posterior,options,dim,suffStat,u,flag)
% This function checks the options structure, and returns the correct
%... |
13ab14b4188f3bb0ee7da2061e93a74261073718658890454346ecd725d993bf | MATLAB | 2,668 | 66 | % SearchForData.m
% Sarah West
% 6/21/22
% Function that searches through your iterators for the inputted file
% names. Does NOT use RunAnalysis, but has similar input structure.
function [] = SearchForData(parameters)
% Make a loop list from iterators.
looping_output_list = LoopGenerator(parameters.loop_li... |
438d015a6a3508e852085f94b468df4b16f8bd5bcf928eed7ddc6963b8032ded | MATLAB | 2,668 | 43 | clear all
%%
%Define default parameters
[opt] = ParameterOptions();
%%
%Define Parameters for Oscillating gradients
opt.nOscillations=3; % Number of oscillations per TR
opt.Waveform='Sine'; % Type of Oscillating Gradient. Choose from Rect (conventional rectangular gradient), Rect_Sym (symmetric rectangular gradie... |
2c4de46a475e0b53fb8d52a86b2ddeed2bb9f9f5e6f210c3fc5440f3682e07b6 | MATLAB | 2,669 | 83 | function P = khatrirao(varargin)
%KHATRIRAO Khatri-Rao product of matrices.
%
% KHATRIRAO(A,B) computes the Khatri-Rao product of matrices A and
% B that have the same number of columns. The result is the
% column-wise Kronecker product
% [KRON(A(:,1),B(:,1)) ... KRON(A(:,n),B(:,n))]
%
% KHATRIRAO(A1,A2,...)... |
6399907d35b877d5330919129b17c3680e10ec17b60a6bd24f3cd85c676cb32a | MATLAB | 2,669 | 49 | function [params, exp_log_likelihood, q] = CBIG_AuthorTopicEM_ExpEstep(w, paradigm, params)
% [params, exp_log_likelihood, q] = CBIG_AuthorTopicEM_ExpEstep(w, paradigm, params)
%
% Perform E-step of the Author-Topic model on a given experiment.
%
% Input:
% - w = 1 x 3 cell array of experiment's activatio... |
c4f4b46fe0889d45c684fd1868baf565b810c4738ddcb71944413b9f78743d41 | MATLAB | 2,669 | 85 | function [KendallW] = y_KendallW_AcrossImages(RaterImages, MaskData, AResultFilename)
% Calculate Kendall's W across images. (e.g., different raters or Test Re-Test)
% FORMAT [KendallW] = y_KendallW_AcrossImages(RaterImages, MaskData, AResultFilename)
% Input:
% RaterImages - Cells of raters (nRater * 1 ce... |
c32d2484bfc4d76040af04f3be263e0e5813d48ea937e7b406f1a05abf826f19 | MATLAB | 2,670 | 96 | % Function: wavelength2color.m
% Author: Urs Hofmann
% Mail: hofmannu@biomed.ee.ethz.ch
% Date: 08.07.2020
% Version: 1.0
% Description: converts a wavelength in nm into a color
% input arguments:
% - maxIntensity: maximum intensity of colorspace
% - gammaVal
% - used colorSpace (either 'rgb', or 'hsv')... |
79e52ca5d5c8bb475ad067adbad340b3cd4c41141149489037367f13cb89cc50 | MATLAB | 2,672 | 81 | classdef TempoHelp < Singleton
properties (Access=private)
window
toolbar
browser
helpPath
end
methods
function obj = TempoHelp()
obj = obj@Singleton();
if isempty(obj.window)
% Get the ... |
84ca2bae3bf9db8207168b9d2a4d467c87e8916040312929a2cb7a2ff72c3043 | MATLAB | 2,672 | 125 | Q = load('/groups/branson/bransonlab/mayank/PoseTF/RomainLeg/Jun22Sep16Sep15Sep13Aug26Sep07Sep05.lbl','-mat');
%%
jj = [];
for ndx = 1:numel(Q.labeledpos)
valid = squeeze(~all(isnan(Q.labeledpos{ndx}(:,1,:)),1));
jj = cat(3,jj, Q.labeledpos{ndx}(:,:,valid));
end
%%
p1 = jj(:,1,:); p1 = p1(:);
p2 = jj(:,2,:); p2... |
b5c19203b1a7f5e78d890da0e3c9812b7f267f8cb554e5bcf4ca7d699c08d592 | MATLAB | 2,672 | 95 | % rd_runTADetectDiscrimAnalysis.m
% subjects = {'co','ec','hl','rp','sf','mr','jz','ps','nms','yh','jp','pv','nc','rl'};
subjects = {'rl'};
nSubjects = numel(subjects);
runs = 411:419;
combineDates = 0; % 1 to combine all dates from each subject
plotLevel = 1; % 1 is all plots, 3 is fewest plots
saveFile = 0;
saveF... |
60d4c910430ddad97821f1f7e882d87dc5c2968edd0383526d871eb12f50554f | MATLAB | 2,673 | 69 | %%
% This demo creates an artificial HRTF set.
% It shows how to use SOFAgetConventions and SOFAsave
% The HRTF set contains single pulses placed at sample index of 100
% which results in a broadband delay of 100 samples.
% Each IR is 256 samples long (i.e., N=256)
% SOFA API - demo script
% Copyright (C) 2012-2013 A... |
7a71d3852c5e4afa603c7b3ec0736ca78e3d0b653435a6af012098e89ea1e070 | MATLAB | 2,674 | 91 | % Optional 1st step of the multivariate moderation model:
% the script identifies for every participant in how many voxels its beta
% coefficient would be considered an extreme outlier (based on 2nd quartile
% - 3*IQR or 3rd quartile + 3*IQR) in the distribution of all participants'
% beta values
% saves this number ... |
1106d87ac62ff0b5f27b2ec031412253270e736c3394833da73c6211d128e452 | MATLAB | 2,675 | 90 | function [vol,vol_ratio,zeroflag,badfaces]=checkmesh3d_solid(e,p,type,nodemap)
% If type=0 then it will only check the volume of each tet, otherwise it
% will also check the quality and output some general ifno
global TetrahedronFailQuality TetrahedronZeroVol
if isempty(TetrahedronFailQuality)
TetrahedronFailQualit... |
264e0ee6693c8787e8c822fe61a81ecf1237b92ad404b64d99d60d35741bd743 | MATLAB | 2,675 | 86 | function prepro_separate_sensoryConditions(subject, nerve)
%% set variables
srmr_nr = 2;
subject_id = sprintf('sub-%03i', subject);
savepath_eeg = [getenv('EEGDIR') subject_id '/'];
savepath_bs = [getenv('ANADIR') subject_id '/bs/prepro/'];
savepath_esg = [getenv('ESGDIR') subject_id '/'];
savepath_other = [getenv('O... |
36465798e91229fa6cb1cd439d9149b56ef1c677ba63a02d3f36f21f6ee0cfaf | MATLAB | 2,675 | 95 | function preds = predict_box(box, modelPath, saveConfmaps)
%PREDICT_BOX Evaluates model predictions on a stack of frames. Wrapper for predict_box.py.
% Usage:
% preds = predict_box(box, modelPath)
% preds = predict_box(box, modelPath, saveConfmaps)
%
% Args:
% box: 4-D array or path to HDF5 file with '/box' datas... |
afbb8a1e8e6d34b201639801e48aa71bde7ff56e750683740c6f61f1c58460b8 | MATLAB | 2,675 | 61 | %--------------------------------------------------------------------------
% Author: Brandon S Coventry
% Date: 06/01/2023
% Purpose: This function calculates I(R|Sx) the mutual information given
% a stimulus as outlines in Borst and Theunissen 1999. We use the direct
% method here with quadratic estimation bias ... |
377084f920be068ee3df6bb2260e8f3cdf293d3cfb5623520972030ae2103386 | MATLAB | 2,676 | 60 | function S = parse_optional_arguments(args, argNames, argDefaults, identifier)
%PARSE_OPTIONAL_ARGUMENTS args should be a cell array with the structure
% {'valName1', val1, 'valName2', val2}.
%
%
% ---
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% Reference (please c... |
74e6afcf89bcdfc46a7f5e87d35c62a2dd1e8a5047b283b72788d20f71094f4c | MATLAB | 2,677 | 77 | classdef DataSource < handle
% DATASOURCE is the abstract base-class for data-containers in Dataspace.
% The main subclass is dspace_data.TableDatasource.
%
% See also dspace_data.TableDatasource.
%
%
%
%<PRE>
% This file is part of dspace-core.
%
% Copyright (C) 2020... |
4dabf1f862ce5250a029f2217edbb1d1639ab72fd4c13f97480b2a325d0ed138 | MATLAB | 2,678 | 74 | function CBIG_ASDf_plotCorrWithBest(inputDir, k, r_final, corr, outputDir)
% CBIG_ASDf_plotCorrWithBest(inputDir, k, r_final, corr, outputDir)
%
% This function plots the correlation between final estimate and other
% solutions, sorted from highest to lowest likelihood.
%
% Input:
% - inputDir:
% Absolut... |
858242358d8b9b5525271e4222d05c720833f1e41efdb6d4379f73c40b0c8a6d | MATLAB | 2,678 | 76 | function IC = clusterMontage( I, IDX, nElem, pad )
% Used for visualization of clusters of images and videos.
%
% Organizes the matrix I, which is either MxNxR for images or MxNxTxR for
% videos, into a [M x N x T x nElem x nCluster] array IC, where each
% element IC(:,:,:,:,i) is the set of objects belonging to cluste... |
01c95dae9fc362eeca6b1275ee589f0920f7c1a1f45e1b8f1a7f3686f69a9357 | MATLAB | 2,679 | 113 | function sparsePostPlot
% Code for Plotting Gauss, Laplace and "Very Sparse" Prior and Posterior
%PMTKauthor Florian Steinke 2005
%PMTKslow
% define fine grid to evalute distributions
%(grid extends outside the targeted field of view for a better
% normalisation of the distributions!)
ext = 3; pext = 10; N = 1000;
... |
578b1f00f4c1230979b409df608dbe70d16dca7ca0f357c2c5051506c90b3e4d | MATLAB | 2,679 | 90 | <<<<<<< HEAD
% function sigOUT= gen_ramp_signal(sigIN, fs, durONramp, durOFFramp, verbose)
function [sigOUT, ramp_vector]= gen_ramp_signal(sigIN, fs, durONramp, durOFFramp, verbose)
if ~exist('verbose', 'var')
verbose=false;
end
if nargin <3
error('Not enough input parameters');
end
if ~exist('durOFFramp', 'va... |
9b786f4abd15412df1d5a8a66dd26294aea756139a2c0d40ddfe39abc99a67a9 | MATLAB | 2,679 | 106 | % plot the quality of fit in each cluster center using interpolation and
% angle-based distance
%% load bem-fmm engine
clear all
restoredefaultpath;
addpath('Engine');
subject = '110411';
%% load data table
data_table = readtable('dip_4000.csv');
errors = data_table.Dist_mm;
%% load cluster data
CL = load(fullfi... |
647df8fc272c26c90c52d1f678833aebf9f946174679b495f93a3e1379f12987 | MATLAB | 2,680 | 69 | function Obj=SOFAconvertSCUT2SOFA(root,r)
% OBJ=SOFAconvertSCUT2SOFA(root,pinna) loads the SCUT HRTFs saved in a
% directory ROOT for the radius R and converts to a SOFA object.
% R must be in meters.
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences;
% Licensed under the EUPL, Ver... |
e8511765f0f427f6a578f158def19e1bd2c1d5d58025acbb7b175607da47befa | MATLAB | 2,680 | 79 | function [fm,am,iflaw]=doppler(N,Fs,f0,d,v,t0,c);
%DOPPLER Generate complex Doppler signal.
% [FM,AM,IFLAW]=DOPPLER(N,FS,F0,D,V,T0,C)
% Returns the frequency modulation (FM), the amplitude
% modulation (AM) and the instantaneous frequency law (IFLAW)
% of the signal received by a fixed observer from a moving ta... |
6ccd9ae848f5658327d58fef1e6efbdcf6cecf4037ca938f9ea16a689a0bdbbb | MATLAB | 2,681 | 76 | % Registration_Manual_Redo.m
% Sarah West
% 8/24/21
% Takes the across-day registrations that weren't done very well by the automatic
% registration and let's you re-do them manually. Adapted from
% "lines_register_multiple_forbackwards.m"
function []=Registration_Manual_Redo(redo, parameters)
% Assign para... |
8c37aab6c89806e6b432d66de0a8b6a46af9c01d1a2f40e14ed38ed9f764df99 | MATLAB | 2,681 | 63 | function out = boney_segment_simpleBone(seg8t, Ym, Yp, refine)
%simpleBone. First simple version that worked surprisingly well.
% There is a basic correction of the SPM bone segmentation to avoid
% misclassification of high-intensity bone marrow as head tissue. However,
% there is no further masking of critical regio... |
1c0b0a93dfb57f7735c700f4fe645ee838b0a43ffaf53336b1ee1dfa601a6d66 | MATLAB | 2,682 | 68 | classdef TensorPatch < diffgeometry.TransformableCP
% TransformableCP that transforms as a tensor
%---------------------------------------------------------------------
% license
%---------------------------------------------------------------------
% Copyright 2015 Idse Heemskerk and Sebas... |
20ca91cacaceafe5265428cbfb28967955102f12509d1660980f67b2f99cfc5b | MATLAB | 2,682 | 109 | function [fid, tree, dir] = fiff_open_le(fname)
%
% [fid, tree, dir] = fiff_open_le(fname)
%
% Open a fif file and provide the directory of tags
%
% fid the opened file id
% tree tag directory organized into a tree
% dir the sequential tag directory
%
% This is a modified version, specific for opening 'littl... |
2530a04a7ad694c81d7eb52f501e47803f2f861ca3d24302baf76dd328ed5e7d | MATLAB | 2,682 | 64 | function [data_filter_above,data_filter_below] = loc_list_clusters_filter_aspect_ratio_Area(data)
answer = inputdlg({'Major Axis to Minor Axis Aspect Ratio Threshold:','Enter Minimum Area per Cluster:'},'Input',[1 50],{'1.5','0.2'});
if isempty(answer)~=1
min_aspect_ratio = str2double(answer{1});
min_are... |
85700386ca8ba17e7aa2193739d461ebef5fc4524a82a6c4f8d9675d954b0616 | MATLAB | 2,682 | 118 | function writenodelm_mesh_medit(infn,elm,p,nodemap,nnpe)
% writenodelm_mesh_medit(fn,tet,p)
% Writes a tetrahedral mesh defined in 'tet' and 'p' to a file called 'fn'
% in medit format (.mesh) so it can be viewed using medit.
% Note that this routine renumbers the node numbers from 1 to N and accordingly
% adjust the n... |
ae0c29c9efcf17c8aa01fac85ca3eb37b9e0507cbd5f681db8407b07bac3648f | MATLAB | 2,682 | 71 | function [D,S,Q] = perform_fast_marching_mesh(vertex, faces, start_points, options)
% perform_fast_marching_mesh - launch the Fast Marching algorithm on a 3D mesh.
%
% [D,S,Q] = perform_fast_marching_mesh(vertex, faces, start_points, options)
%
% vertex, faces: a 3D mesh
% start_points(i) is the index of the ith... |
be4b32915e337d35d39b8e188737390b5790e1c0e2a23f45ddcf424718049f4c | MATLAB | 2,682 | 97 | % fitting_wrapper.m
% carry dipole fitting using FieldTrip for every dipole taken from clusters
% of subject 110411.
%% initialize FieldTrip Engine
clear all;
restoredefaultpath;
addpath(fullfile('fieldtrip'));
ft_defaults;
%% prepare leadfield matrix
LFM = load(fullfile('data/LFM/LeadField_matrix4000.mat')).LeadFiel... |
9ce738321a4167f8dcee5a366d7f5393393046328c46be324b3bfd7713595fdf | MATLAB | 2,683 | 93 | function [C, ss, M, X,Ye] = ppca_mv(Ye,d,dia)
% Implements probabilistic PCA for data with missing values
% using a factorizing distribution over hidden states and hidden observations.
%
% - The entries in Ye that equal NaN are assumed to be missing. -
%
% [C, ss, M, X, Ye ] = ppca_mv(Y,d,dia)
%
% Y (N by D) N dat... |
d2f99215fdb66fff8b90e826d2d4c12c3c8434383a85bf1e41aae4abc7b532bc | MATLAB | 2,683 | 59 | %% 非线性（动力学）特征：基于时域的熵 | nonlinear features: time-domain-based entropy
%% 模糊熵 | Fuzzy entropy （based on Sample Entropy）
% 表征时间序列数据的复杂性（complexity）和规律性（regularity），值越大，时间序列越复杂、越不规律
% X: single channel EEG signal (either a row vector or a column vector)
% opts.r：相似容限阈值，通常r在0.1std(X)和0.25std(X)之间时，En有比较合理的统计特性，默认0.2std(X)
... |
1cae1e737c2c8dda3137e2dfe3ba0da4b6660d541a65909aee3b37e4ec0268ed | MATLAB | 2,684 | 76 | %%%% load "Example_..." files in "Data" folder.
% following could adjust as needed
pre_data_time=-100;
post_data_time=100;
pre_lim_time=-300;
post_lim_time=300;
FSN=4;
REP=20; % number of trial
bin_size=50;
bin_step=5;
PSTH_Y_LIM=110;
% following will auto-adjust when the upper change
pre_lim_time1=35... |
5ce9b20c84a57d1b33a980cd67877d9a854be6155690c4b0fdf9031ef96e25e8 | MATLAB | 2,684 | 125 | function [] = plot_logreg(logreg_results,type)
%%% this function plots the results of the logistic regression of behavior
ylimi=[-.2 1.45];
slope_results=compute_slope(logreg_results);
dif_d=(logreg_results.thetadd-logreg_results.thetadf)/2;
dif_f=(logreg_results.thetaff-logreg_results.thetafd)/2;
dif_d_se=(logr... |
94325c2903467bbb3e4817400325a2cd68d00c275e2385b0a34bf0bc423ac8ed | MATLAB | 2,684 | 103 | % 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,... |
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