sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
1fbec5e8b66d6de08d5aff83677730caa88cbe560aee9af85c7cee1a4a6f7664 | MATLAB | 2,911 | 83 | function [mask,Xdiff]=plotsigdiff(X1,X1err,X2,X2err,plt,t,f)
% Function to plot significant differences between two time-frequency arrays X1 and X2
% given errors X1err, X2err.
% Usage: mask=plotsigdiff(X1,X1err,X2,X2err,plt,t,f)
%
% X1 err and X2err contain upper and lower confidence intervals for X1 and X2
% T... |
671781dd4efe3b64e0bc8feb1a51fa7783d291d4191f4ba164618783ab754f3a | MATLAB | 2,911 | 83 | % Section 4.5.4: Minimum spectral radius via Peron-Frobenius theory (GP)
% Boyd & Vandenberghe "Convex Optimization"
% Joelle Skaf - 01/29/06
% Updated to use CVX mode by Almir Mutapcic 02/08/06
%
% The goal is to minimize the spectral radius of a square matrix A
% which is elementwise nonnegative, Aij >= 0 for a... |
f09395bb7e2a806383e0f55e5d61f01f20a9a35075afd602a41214c62d92bc90 | MATLAB | 2,912 | 82 | % eeg_latencyur() - transform latency of sample point in the continuous
% data into latencies in the transformed dataset.
%
% Usage:
% >> lat_out = eeg_latencyur( events, lat_in);
%
% Inputs:
% events - event structure. If this structure contain boundary
% events, the length of th... |
04956b6585eac185f9d1bbdaddd0ac8d3f556a7327a3fc67b97fe20c585899e3 | MATLAB | 2,913 | 95 |
function [ica] = bz_RunIca(varargin)
% [ica] = bz_RunIca(varargin)
%
% Perform Independent Component Analysis (ICA) decomposition of input data
% using the logistic infomax ICA algorithm of Bell & Sejnowski (1995) with
% the natural gradient feature of Amari, Cichocki & Yang.
%
% INPUTS
% <optional>
% basepath ... |
5c6058af99cdecd5cf35a4e2edfe7b3f0160a30a0d766fa7165f91c35eb8383a | MATLAB | 2,914 | 85 | function r = bfGetReader(varargin)
% BFGETREADER return a reader for a microscopy image using Bio-Formats
%
% r = bfGetReader() creates an empty Bio-Formats reader extending
% loci.formats.ReaderWrapper.
%
% r = bfGetReader(id) where id is a path to an existing file creates and
% initializes a reader for the in... |
e4684789a521ea40e75853289b6e6b091c23afb52593aafbf0c94f897ea56689 | MATLAB | 2,915 | 94 | function ea_reconstruction2native(options)
if ~isfield(options.subj, 'norm')
options = ea_getptopts(fileparts(fileparts(options.subj.recon.recon)));
end
load(options.subj.recon.recon, 'reco');
if ~exist('reco','var') % old format
reco.mni.coords_mm = coords_mm;
reco.mni.markers = markers;
reco.mni.tr... |
76758c8631598f1d10393b1afeea970dc587e4e6a123dfbd3c731d177dd22cba | MATLAB | 2,916 | 88 | function ys=positionMask2D_many(mainIm,mainParms,subImRoot,subParms)
% Usage ... ys=positionMask2D_many(mainIm,mainParms,subImRoot,subImParms)
%
% This function will provide overlay masks for the locations of subIm
% images on mainIm. The parameters of mainIm, mainParms=[FOVx FOVy].
% SubImRoot is a cell of fileroots.... |
034c5282fafa7e73fcabdff68ae64670987de2d88c06d8c08c946848749c39e9 | MATLAB | 2,917 | 72 | function CBIG_gwMRF_individual_lut(output_dir)
% CBIG_gwMRF_individual_lut(output_dir)
%
% This function generates the lookup table for individual subjects.
%
% Input:
% -output_dir:
% Path of the output folder, There should already be annot files in
% fsaverage space '?h.Schaefer2018_?Parcels_?Netwo... |
99c494201eab3acf5f3e276dc2dad8fd5caf1ce12181265bb6b1a0c6a82603f4 | MATLAB | 2,918 | 85 | function M = obj_read(filename)
% Read Wavefront OBJ-formatted data from disk
% FORMAT M = obj_read(filename)
%
% filename - OBJ-formatted file name
% M - data structure
%__________________________________________________________________________
%
% Wavefront OBJ Format Specification:
% https://en.wikipedia.org... |
c8f45a5303a4453bb1278677110b350064f7304cc6fd07c136b331165b74ecb2 | MATLAB | 2,918 | 78 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Creates a matrix with the pairwise distances (in mm) on the fsaverage sphere
% between each vertex in an ROI
clear all
hemis = {'lh', 'rh'};
% use ministreams to subselect and save on mems/compute
roi_name = 'ministreams';
roivalsL = cvnloa... |
9c8009c29e3496d59e059e58c705df7fb8badb8df2497eee586d934e21902276 | MATLAB | 2,919 | 89 | % matperm() - transpose and sign rows of x to match y (run after matcorr() )
%
% Usage: >> [permx indperm] = matperm(x,y,indx,indy,corr);
%
% Inputs:
% x = first input matrix
% y = matrix with same number of columns as x
% indx = column containing row indices for x (from matcorr())
% indy = column co... |
d3af20d4888f45c80a9222a70b8db6bf01b2dc2de130cc4443ac3f6c0629fe0b | MATLAB | 2,921 | 79 | function ivc = makeIVC(leftdata,rightdata,ivctype,exptype)
% ivctype = 1 for array (mean of response), 2 for cell array ("tc"), 3 for
% "tc" but it's also a per-fly mean
% exptype = 1 for exp6 speed tuning data, 2 for direction tuning data, 3 for exp7
if exptype == 1
if ivctype == 1
ivc = [rightdata... |
7a3786554faeea11a77f61d639617bf8e0a46a42e57bc6df66380907f672e2b3 | MATLAB | 2,922 | 88 | %% Detection of novel (rearranged) sequences
load('result_rearranged.mat'); % load actual and rearranged dataset
%% Figures
% example raster plot
subplot(3,6,1); hold on;
sp_tr = spikes_actual;
trange = [0 5000];
no_sp_tr = length(sp_tr);
for i_sp_tr = 1:no_sp_tr
no_sp = length(sp_tr{i_sp_tr});
f... |
8d482900ec706caf45c453845c5fe05352de551abc4a08faa58a24ef4d2d74c1 | MATLAB | 2,922 | 128 | function RGB = pa_LCH2RGB(LCH,adobeRGB)
% RGB = PA_LCH2RGB(LCH)
%
% Convert LCH colours to RGB colours
%
% For formulas, see:
% http://easyrgb.com/index.php?X=MATH
%
% For those with the Image Processing toolbox:
% http://www.mathworks.nl/help/images/converting-color-data-between-color-spaces.html
%
% For a ... |
abff123e89524ea528ebe3e1e167d70abb775919135aa7fb60ee29914878c82f | MATLAB | 2,922 | 120 | function write_ply(fn, pnt, tri, format)
% WRITE_PLY writes triangles, tetraheders or hexaheders to a Stanford *.ply format file
%
% Use as
% write_ply(filename, vertex, element)
%
% Documentation is provided on
% http://paulbourke.net/dataformats/ply/
% http://en.wikipedia.org/wiki/PLY_(file_format)
%
% See als... |
2c467e039cd5e793d26cb5069f993f59906efe6e2e29cdc3c43e744f2d39263c | MATLAB | 2,924 | 94 | function prefs = ea_prefs(patientname, context)
if ~exist('patientname', 'var')
patientname = '';
end
% 'normal' context by default. If context is not 'normal' (cluster run or
% exported job case), 'machine' settings will not be added to 'prefs' here.
% The value will be read from options.prefs.machines.
if ~exis... |
50bbc5b930c90eaf42b9517d05b4bf0ba32c8b06ecbaf35d393e06f303523f3b | MATLAB | 2,924 | 79 | % Contact ythomas@csail.mit.edu or msabuncu@csail.mit.edu for bugs or questions
%
%=========================================================================
%
% Copyright (c) 2008 Thomas Yeo and Mert Sabuncu
% All rights reserved.
%
%Redistribution and use in source and binary forms, with or without
%modification, a... |
94da9b85e26b732d2025a8798daf0b7b3a08f501f4e2f57018a6876155e3a176 | MATLAB | 2,925 | 76 | ccc;
%% Path
GRANGERPATHs0 = dir("..\MAT Data\granger result raw (ext)\Prediction\**\single\**\*.mat");
SINGLEPATHs = unique({GRANGERPATHs0.folder})';
SAVEPATHs = cellfun(@(x) strrep(x, '\granger result raw (ext)\', '\granger result minus base (ext)\'), SINGLEPATHs, "UniformOutput", false);
cellfun(@mkdir, SAVEPATHs);... |
968b38ef9079fe1e172501f81c38636e71a748d476a81b06889bfab8c5b5c8ec | MATLAB | 2,925 | 70 | % Name: Robert Kim
% Date: 09-01-2024
% Email: robert.f.kim@gmail.com
% fnc_time_bootstrap.m
% Description: Pointwise bootstrap confidence intervals (per timepoint) for
% two time-resolved data series and their difference. At each timepoint,
% resample trials with replacement nboot times, compute the per-condition
% me... |
175ba835ed4f1a9c3bb48b6f67015880a1ddcdcd2ae238f9de22ccc400fe1c37 | MATLAB | 2,927 | 146 | function [ node_num, node_dim, element_num, element_order ] = ...
gmsh_size_read ( gmsh_filename )
%*****************************************************************************80
%
%% GMSH_SIZE_READ reads sizes from a GMSH file.
%
% Licensing:
%
% This code is distributed under the GNU LGPL license.
%
% Modifi... |
70be529dfcf5899bd2fa61c0ad0c3eb954a47142db8a5910ea2caaf7f8d5297b | MATLAB | 2,927 | 107 | %% QUICKENT - quick entropy calculation
% Calculates the entropy for the input data. The data can be continuous or
% discrete. If the data is single trial, the entropy is calculated through
% time. If the data is trial based, the entropy is calculated at each time
% point in the trials. For discrete and continuous data... |
b36e2a9d2a79a20440fbe517b8c0553686993135cd63fc403165c9a79569b29e | MATLAB | 2,928 | 108 | function [ WW , WO , WS , DS , SI , ORIGWSPOS ] = stream_to_collocation_data( DS_IN , WS_IN , WO_IN , stopwordsfile , freqcutoff , doexcludenumbers )
%% Function stream_to_collocation_data
%%
% A utility to convert the stream data used by HMM-LDA model into stream
% data useful for the LDA-COL model.
%%
% |[ ... |
1921a0d3993e0bc87680aa0f6f7f6936af9950d37f4d9f4414f3568bd701529c | MATLAB | 2,929 | 78 | % Contact ythomas@csail.mit.edu or msabuncu@csail.mit.edu for bugs or questions
%
%=========================================================================
%
% Copyright (c) 2008 Thomas Yeo and Mert Sabuncu
% All rights reserved.
%
%Redistribution and use in source and binary forms, with or without
%modification, a... |
21d36375dd3ccc00f9cdb12b9e742807ccdd99695125f27411691bd9ea100fba | MATLAB | 2,929 | 74 | %% Description
% This script does further preprocessing after trial
% exclusion, trial classification, and ICA.
% Three steps are included in this procedure:
% 1. Common average referencing (CAR)
% CAR re-references data by subtracting the common
% average of trial data from channels of the same
% ... |
e67031a8f63ef90f04ad60b63644b239aa51942709f918e6a75d2aef446733f1 | MATLAB | 2,929 | 79 | %% PaCER/EXAMPLE_5_1.m - Continuing Example 5 by adding fibertracts from MRtrix and projecting a VTA to them
%
% Andreas Husch
% Centre Hospitalier de Luxembourg (CHL) / Luxembourg Centre for Systems
% Biomedicine (LCSB), University of Luxembourg
% mail@andreashusch.de / husch.andreas@chl.lu
%
% Mikkel V. Petersen
% Ce... |
b2466e5318cd863e6111fb17ef1bc43633200321ca7dfd8a3ea7e901d8eb3de3 | MATLAB | 2,930 | 81 | function ea_connectome_from_pathways(obj, connectomeName, N_voters, N_sides, negative_vals)
% check how many are duplicates
% store in one folder in connectomes/dMRI_MultiTract
% give original names to connectomes, the function will overwrite
% files!
connectome_folder = [ea_getconnectomebase(... |
de4f4fb0ad66fbfc8b4a7c55f677f50ca15525c3a4994785112b839a10a59d10 | MATLAB | 2,930 | 87 | function myScreePlot(SS,K,XAX,lam)
% Adapted for PLS-SVD
% IN:
% SS: singular values values
% K: cut-off
% XAX: x axis limits
% lam: null distribution lambda
if nargin<3
XAX=[1 length(SS)];
end
% pos=get(gcf,'position');
% set(gcf,'Position',[pos(1) pos(2) 1300 300])
title('Scree plot... |
1297069cc8357d4b8152adedaa4561e4322eb1136b87db41b2d2028cfc191d45 | MATLAB | 2,931 | 63 | %% Function GibbsSamplerLDA
% Runs the Gibbs sampler for the Latent Dirichlet Allocation (LDA) model
%
% |[ WP,DP,Z ] = GibbsSamplerLDA( WS,DS,T,N,ALPHA,BETA,SEED,OUTPUT )| will
% run the Gibbs sampler for the LDA model on a bag of words data provided
% by the vectors |WS| and |DS|. |WS(k)| and |DS(k)| contain the... |
7d349db34fd7cfbc60cd6a34f0973da86bb467d825f64d7dfd256c4d32e7c0c8 | MATLAB | 2,932 | 85 | % eegplot2event() - convert EEGPLOT rejections into events
% compatible with the eeg_eegrej function for rejecting
% continuous portions of datasets.
%
% Usage:
% >> [events] = eegplot2event( eegplotrej, type, colorin, colorout );
%
% Inputs:
% eegplotrej - EEGPLOT output (TMPRE... |
c5829dc57d2c6f7949c9153509ad3f1e2756e9df722964be3d1f47702dde023b | MATLAB | 2,932 | 176 | % This video was uploaded and converted to .gif with Giphy:
% https://giphy.com/create/gifmaker
%
% https://media.giphy.com/media/ybSv8dGOxnVZ45TsR4/giphy.gif
myfile = which('canlab_dartmouth_brainlogo.m')
mypath = fileparts(myfile);
cd(mypath)
D = imread('D-Pine_Black.jpg');
Dflat = any(D, 3);
Df = uint8(repmat(Dfl... |
36c0dfdc00018d8ca541777536a465c34b6f3acebe19c34c2bd2a9ec08b90b86 | MATLAB | 2,933 | 82 | function r = surrogateContract(x, gen, nSurr)
%SURROGATECONTRACT Measure what a surrogate generator actually preserves.
%
% r = nonantest.surrogateContract(x, gen, nSurr)
%
% gen is a function handle producing ONE surrogate: @(v) surr_theiler(v,1).
%
% Returns measured quantities and asserts nothing; the caller d... |
cba63e0e680ad5eee4a8d2ae3805961363efe1c3e06ca59ef637331d5241f363 | MATLAB | 2,934 | 59 | function varargout=ea_normalize_fsl(options)
% This is a function that normalizes both a copy of transversal and coronal
% images into MNI-space. The goal was to make the procedure both robust and
% automatic, but still, it must be said that normalization results should
% be taken with much care because all reconstruct... |
f20801524e94800827fd2b165164ab23d861eed99c26e7cabe297c4f883c8ff3 | MATLAB | 2,934 | 60 | function presenceRatio = presenceRatio(theseSpikeTimes, theseAmplis, presenceRatioBinSize, startTime, stopTime, param)
% JF, Calculate fraction of bins that include one or more spikes from a particular unit
% ------
% Inputs
% ------
% theseSpikeTimes: nSpikesforThisUnit × 1 double vector of time in seconds
% of each... |
0ca211d315460d70a96b035be3e1ff61aa13097e071d7ce764b623e2c114f69b | MATLAB | 2,935 | 57 | function plotmsd4Exclude2(x,y,s,ExcludeVals,cc)
% Usage ... plotmsd4(x,y,s,c)
%
% Plots the vector y against vector x overlaying a shaded region
% by s using the color defined in c. The figure to plot should be
% cleared to avoid transparency problems.
%
% Ex. plotmsd4([0:0.05:20],sin(2*pi*0.15*[0:0.05:20]+pi/3),ones(1... |
326c80b37e84fd17626a00f89abcb7aae3fc69a6f2ae8784b7e0f7b9b5dace1c | MATLAB | 2,935 | 97 | function palm_ptree2dot(Ptree,dotfile)
% Create a DOT file from a permutation tree, that can be used
% with GraphViz for visualisation.
%
% Usage:
% palm_ptree2dot(Ptree,dotfile)
%
% Ptree : Permutation (dependence) tree.
% dotfile : DOT file to be created.
%
% Reference:
% * Winkler AM, Webster MA, Vidaurre D, N... |
6ccf3c29fd2a16b4a661c8b54d69b555889426d0ee57c2f9f98f7fe093e20325 | MATLAB | 2,939 | 115 | close all
clear all
%% load data
load("combined_data_for_correlationsNEW.mat")
maxLagMinutes = 23;
analysis_number = 3;
% 1 is NB area vs SC Intensity
% 2 is SC Contact Length vs SC Intensity
% 3 is SC Area vs SC Intensity
filter_data = 1;
chopMS2 = 0;
%%
if analysis_number == 1
Variable1 = CombinedNBArea./Co... |
45b7bc4817373df65cab6226dc246deeaa04e59316ca8e62cc61551c0dfe3eec | MATLAB | 2,941 | 106 | function out = export_channel_info_NIRx(probe_file, montage_name, varargin)
%FNIRSPOWER.HELPERS.EXPORT_CHANNEL_INFO_NIRX
% Export NIRx channel names and positions for the Python power pipeline.
%
% Usage:
% out = fnirspower.helpers.export_channel_info_NIRx( ...
% probe_file, montage_name);
%
% Required inputs:
... |
768fb80ed8188e2976d2ab7924ef625df8ac7f7448664f680ced9d0f3f14c4a8 | MATLAB | 2,941 | 68 | function [ NCSE ] = ent_symbolic( X, L )
% [ SymEnt ] = ent_symbolic( X, L )
% symbolicEnt Calculates the Symbolic Entropy for given data.
% Input - X: 1-Dimensional binary array of data
% L: Word length
% Output - NCSE: Normalized Corrected Shannon Entropy
% Remarks
% - This code calculates the Symbbolic ... |
856dc8bcc69971123ad75d3d1fe56491bfec2caa69066318988129e9b694d3c9 | MATLAB | 2,941 | 93 | function map = jetm(m)
%JETM Muted jet colormap.
% JETM(M), a variant of JET(M), returns an M-by-3 matrix containing a
% muted version of the JET colormap.
% JETM, by itself, is the same length as the current colormap.
if (nargin < 1), m = size(colormap,1); end;
% This colormap was constructed m... |
fe2ae82022b7cd735ec43bbbefb0c5da169f0e97398ffbc886f3f5aec8e6dc4e | MATLAB | 2,942 | 96 | function depth_first_search(A,u,dfs_visitor,varargin)
% DEPTH_FIRST_SEARCH Fully wrap the Boost depth_first_search call
% including the dfs_visitor.
%
% depth_first_search(A,u,dfs_visitor) performs a depth first traversal
% of A starting from vertex u. For each event defined by the dfs_visitor
% structure below, the... |
9e272f3160532b2c7095294ce4541b7b3e5acdb3737295160303a013d7439ad5 | MATLAB | 2,944 | 87 | function [siglev,res]=arres(w,A,v,k)
%ARRES Test of residuals of fitted AR model.
%
% [siglev,res]=ARRES(w,A,v) computes the time series of residuals
%
% res(k,:)' = v(k+p,:)'- w - A1*v(k+p-1,:)' - ... - Ap*v(k,:)'
%
% of an AR(p) model with A=[A1 ... Ap].
%
% Also returned is the significance leve... |
03b842aab9aa6a699490c985e0db52d783c0da2cfac58d369828a6a9d6ef4b9a | MATLAB | 2,945 | 83 | function [yhat, mdls] = fitSpline(x, y, n, winSz, ovrlap, verbose)
%FITSPLINE Fits an nth order piece-wise polynomial to the given signal y to
%the values inside the given window size winSz and overlapping the fittings
%ovrlap percentage (0-1)
% [yhat, mdls] = fitSpline(x, y, n, winSz, ovrlap)
% INPUTS:
% ... |
1efb60c9f230166eb701b137faa1803e18c1c32c8e66f8b7741b5582bc5ae0eb | MATLAB | 2,945 | 107 | function [ rgb ] = hex2rgb(hex,range)
% hex2rgb converts hex color values to rgb arrays on the range 0 to 1.
%
%
% * * * * * * * * * * * * * * * * * * * *
% SYNTAX:
% rgb = hex2rgb(hex) returns rgb color values in an n x 3 array. Values are
% scaled from 0 to 1 by default.
%
... |
db7bc6899b6ecac3ff5a9759303b29bb88eaf4c4814ae0ae1614f8919c91ef3c | MATLAB | 2,946 | 86 | function options = ea_ensure_fa_and_fa2anat(options)
% Ensure FA map exists and FA coregistered to anatomical is in coregistration/anat.
%
% When running Lead Connectome (structural), this helper:
% 1. Creates FA from DWI if not present (preprocessing/dwi/*_fa.nii).
% 2. Coregisters FA to the anatomical (T1) and writ... |
d67cae40548d6f9353504f087bf4a20008cd23f6c85b6f3a8a1e175cfb68294f | MATLAB | 2,947 | 112 | function [] = fig2latex(ax, fname, media9_or_movie15, pdforxelatex)
%FIG2LATEX Convert axes to U3D file, generating LaTeX code including it.
%
% usage
% FIG2LATEX(ax, fname, media9_or_movie15, pdforxelatex)
%
% input
% ax = axes object handle
% fname = file name
% media9_or_movie15 = select LaTeX package for i... |
35b00a60173a0abcd783abde127847d2af2cecb8b47f7e9d32fad071bea13597 | MATLAB | 2,950 | 68 | function [age, gender, dx] = CBIG_MMLDA_get_age_gender_dx(DXSUM_file, PTDEMOG_file, phase, rid, viscode)
% [age, gender, dx] = CBIG_MMLDA_get_age_gender_dx(DXSUM_file, PTDEMOG_file,...
% phase, rid, viscode)
%
% This function get age, gender, dx based on ADNI DXSUM and PTDEMOG spreadsheets.
%
% Input:
% - DXSUM_fi... |
9ae064bc87f93b846afb66c4e42eea8f5fa2522727c44aaec8461a47d71aadad | MATLAB | 2,952 | 68 | function this = subsasgn(this,index,c)
if isempty(this)
this = eegobj;
end;
% mulitple dataset
if strcmpi(index(1).type, '()') && length(index) == 1 % dataset assignement
if isempty(c) % suppression
this(index.subs{1}) = [];
else
% cre... |
700d59ca45810643919586c70a5a416ae7b05bdd248ddcb54c66afb5a7481ea0 | MATLAB | 2,954 | 73 | function [tscounts, wfcounts, evcounts, contcounts] = plx_info(filename, fullread)
% plx_info(filename, fullread) -- read and display .plx or .pl2 file info
%
% [tscounts, wfcounts, evcounts, contcounts] = plx_info(filename, fullread)
%
% INPUT:
% filename - if empty string, will use File Open dialog
% full... |
f92b93aa4b8ede4f069d8310684c4dee9f9d2c00566d6ee34d70a059a645bfca | MATLAB | 2,954 | 74 | function dockexample()
%DOCKEXAMPLE: An example of using the panelbox dock/undock functionality
% Copyright 2009-2013 The MathWorks Ltd.
% Create the window and main layout
fig = figure( 'Name', 'Dockable GUI example', ...'
'NumberTitle', 'off', ...
'Toolbar', 'none', ...
'MenuBar', 'none', ...
'Clo... |
fb9328d239ca12d6d68f3fe802fd834c5de1a813a169de57e57734e4e0c2538d | MATLAB | 2,954 | 69 | function [qMetric, param] = prettify_names(qMetric, param)
% Define name mapping
oldNames = {'minTroughToPeakRatio', 'firstPeakRatio', ...
'minMainPeakToTroughRatio', 'minWidthFirstPeak', ...
'minWidthMainTrough', 'RPV_tauR_estimate', 'isoD'};
newNames = {'maxScndPeakToTroughRatio_noise', 'maxPeak1ToPeak2Rati... |
1431999574ca896b8baa44c599ee19ab7cf77f6e009b544de6d07b03fb3f12b5 | MATLAB | 2,955 | 120 | function testspecgram(data)
%cd 'C:\Documents and Settings\Admin\Desktop\';
%data=wavread('bird109_26519_on_Aug_19_16_33.wav');
params.tapers = [3 5];
params.fpass = [100 20000];
params.Fs = 44100;
params.pad = 2;
max_time =10; % seconds per run
max_tapers = 150;
increment = 1.5;
profile on
nsample... |
384513c4daa2ed75cb91d00e5f0f0fea73d26706dd6f35e5abd846f9f4c251c8 | MATLAB | 2,955 | 57 | function plotmsd4Exclude(x,y,s,ExcludeVals,cc)
% Usage ... plotmsd4(x,y,s,c)
%
% Plots the vector y against vector x overlaying a shaded region
% by s using the color defined in c. The figure to plot should be
% cleared to avoid transparency problems.
%
% Ex. plotmsd4([0:0.05:20],sin(2*pi*0.15*[0:0.05:20]+pi/3),ones(1,... |
503a4c86500a053ae4dbfbf3bc6346f379041b5930a5779603df4ab0c353920e | MATLAB | 2,955 | 88 | function [fig, varargout] = draw_surface_bluewhitered_dull(surface_to_plot, data_to_plot, hemisphere, medial_wall, with_medial)
% draw_surface_bluewhitered_dull.m
%
% Draw data on surface using blue-white-red colormap for
% negative-zero-positive values with dull plot lighting
%
% Inputs: surface_to_plot : surface stru... |
b5747fc9c4a163046e5cd0232543f397ec02671fbd9d92fd838cfd969d71980f | MATLAB | 2,955 | 84 | % rsadjust() - adjust l-values (Ramberg-Schmeiser distribution)
% with respect to signal mean and variance
%
% Usage: p = rsadjust(l3, l4, m, var, skew)
%
% Input:
% l3 - value lambda3 for Ramberg-Schmeiser distribution
% l4 - value lambda4 for Ramberg-Schmeiser distribution
% m - mean of t... |
f319e9362860b473656d1b6a64947ffef5be261262e0465d4b29b36b0be42ef7 | MATLAB | 2,956 | 97 | function stackview(imgs,showfun)
if nargin == 1,
showfun = @imshow;
end;
if iscell(imgs),
if length(imgs) > 3,
display('maximum three volumes');
return;
end;
for k = 1:length(imgs),
if ~isempty(imgs{k}),
sz = size(imgs{k});
break;
end;
end;... |
2059edc766b2c3d69f3b9047cf0d66a41a8333f05d0b3979d7e16231ec1ef1b8 | MATLAB | 2,957 | 83 | function corr_array = compute_scf(sigma_n, position_centre_grid, topology, dx, dt, hetparam_het, homparam, tol)
% Compute the SCF with reference point p, with given sigma_n
% Set tolerance if not given
if nargin < 8 || isempty(tol)
tol = 1e-7;
end
% Create stim struct
sum_xy = zer... |
3c1dd2c371183a6066334ce390f4b85d8dfada3cb917e10425ffca92c2087ecf | MATLAB | 2,957 | 77 | ccc;
%% Path
% GRANGERPATHs0 = dir("..\MAT Data\granger result raw\Prediction\**\*.mat");
GRANGERPATHs0 = dir("..\MAT Data\granger result raw\Prediction\**\single\**\*.mat");
SINGLEPATHs = unique({GRANGERPATHs0.folder})';
SAVEPATHs = cellfun(@(x) strrep(x, '\granger result raw\', '\granger result minus base\'), SINGLE... |
446e6d142f34ac11fd88fdcd0b934ebcaa203d822983216b1d096691c3e9df6f | MATLAB | 2,957 | 90 | % pop_rejepoch() - Reject pre-labeled trials in a EEG dataset.
% Ask for confirmation and accept the rejection
%
% Usage:
% >> OUTEEG = pop_rejepoch( INEEG, trialrej, confirm)
%
% Inputs:
% INEEG - Input dataset
% trialrej - Array of 0s and 1s (depicting rejected trials) (size is
... |
8d129d1887c0747d2d819f96181d79971ed8e8ad46fd6d39b1e40f65464b33fe | MATLAB | 2,957 | 89 | % difftopo - compute and plot component decomposition for the difference ERP
% between two EEG datasets. Plots into the current axis (gca);
% plot into a new empty figure as below.
% Usage:
% >> figure; difftopo(ALLEEG,eeg1,eeg2,interval);
% Inputs:
% ALLEEG - array of leaded EE... |
ba667f2edf0620071f4debd81d0e26093a16a3c247bb00c30ae2cbd4ed917f29 | MATLAB | 2,957 | 96 | function result=mahalanobis(x,locvct,varargin)
%MAHALANOBIS computes the (squared) distance of each observation in x
% from the location estimate (locvct) of the data,
% relative to the shape of the data.
%
% Required input arguments:
% x : data matrix (n observations in rows, p variable... |
20bc9435b8a4e281c9101693123b8e439c184781a65b3bc8dcc0c0a01aa399d9 | MATLAB | 2,958 | 97 | % Minimize stopband ripple of a linear phase lowpass FIR filter
% "Filter design" lecture notes (EE364) by S. Boyd
% (figures are generated)
%
% Designs a linear phase FIR lowpass filter such that it:
% - minimizes the maximum passband ripple
% - has a constraint on the maximum stopband attenuation
%
% This is a convex... |
48b981def647b788325e87898ef8f51f6124e7749906fee4d4a7c0b5669253b0 | MATLAB | 2,958 | 90 | % Name: Robert Kim
% Date: 05-13-2023
% Email: robert.f.kim@gmail.com
% fnc_eval_model2.m
% Description: Variant of fnc_eval_model.m. Instead of accepting a modified
% recurrent weight matrix (mod_ww), this version takes a list of unit indices
% (mod_nn) and clamps their firing rates to 1 during the stim1 window
% (tim... |
6f15243da65f667b48f85359d46f49ef3dcbb56ae0d58256c3d5ef522d4b4bd6 | MATLAB | 2,958 | 65 |
clear all
close all
do_save=1;
bioroot='MOUSE_NOSK15_7_20170818';
bparms1=[-2000 18000];
bparms2=[-5000 62000];
bparms4=[-5000 42000];
sparms1=[200 20]; % 5Hz 4s
sparms12=[200 40]; % 5Hz 8s
sparms2=[100 40]; % 10Hz 4s
sparms22=[100 80]; % 10Hz 8s
sparms4=[50 80]; % 20Hz 4s
sparms42=[50 160]; % 20H... |
4e075ac9cb553c108c567cd73b08539d038ee5205812b95f830099cfd3757870 | MATLAB | 2,960 | 84 | function SaveBinary(filename,data,varargin)
%SaveBinary - Save data in a multiplexed binary file.
%
% USAGE
%
% SaveBinary(filename,data,<options>)
%
% filename file to save to
% data data to save
% <options> optional list of property-value pairs (see table below)
%
% =============... |
6bd6417eef4088c584a980f0d23457ff208fedefff362631d592f6fa108ccfd9 | MATLAB | 2,961 | 69 | function sigma = nonst_stat(data,A,sumV,params)
% Nonstationarity test - continuous process
%
% Usage:
%
% sigma=nonst_test(data,A,sumV,params)
% Input:
% Note units have to be consistent. See chronux.m for more information.
% data (1d array in samples) -- required
% A quadratic coefficient ma... |
71815287cfa315946278d663505ebb31a36432540716504820273171ec88b041 | MATLAB | 2,961 | 66 | % Contact ythomas@csail.mit.edu or msabuncu@csail.mit.edu for bugs or questions
%
%=========================================================================
%
% Copyright (c) 2008 Thomas Yeo and Mert Sabuncu
% All rights reserved.
%
%Redistribution and use in source and binary forms, with or without
%modification, a... |
a90e271723dbfea5d69c9976c5aff5d071023c76282a1c419988642dedd2fe57 | MATLAB | 2,963 | 86 | % Plot brain parcels from an atlas in MNI152 space
% For this example, the atlas/parcellation file must be a full
% probabilistic atlas. This enables image thresholding based on
% probabilty values. You can do all the rest of the commands with only an
% image with labels, however.
%
% Creating an atlas object requir... |
a4b56a9b752467685d14e7ff4e5fd95bb022ba6269f14e68d7fa9b1173baa32c | MATLAB | 2,965 | 81 | function axcodes = ea_aff2axcodes(affine, tol, labels)
% Calculcate axis direction codes from affine matrix
% Can be used to set the 'voxel_order' in track file (*.trk) header
%
% tol: {None, float}, optional
% Threshold below which SVD values of the affine are considered zero.
% If 'tol' is None, and 'S' is an ... |
bd97612ba17295833f772b6da2e529c6ba0595fd1a475c27e802a7a841419282 | MATLAB | 2,969 | 84 | function [ei Ei] = edge_weight_index(A,varargin)
% EDGE_WEIGHT_INDEX Build a conformal matrix of edge index values for a graph.
%
% [eil Ei] = edge_weight_index(As) returns a vector where
% As(i,j) not= 0 implies Ei(i,j) not= 0 and Ei(i,j) = eil(i)
% for an integer value of eil(i) that corresponds to the edge index ... |
b15dc4b09341066a73ffc36b636b2b86dca375ee9e99b40777116a7cee7e1c63 | MATLAB | 2,970 | 112 | function CBIG_pMFM_step1_generate_permutation_order_desikan()
% This function is the first step of the permutation test of SWSTD-FCD
% correlation. In this step, 10000 permutation order will be generated and
% store for further use.
%
% Written by Kong Xiaolu and CBIG under MIT license: https://github.com/ThomasYeoLab... |
e5c805336b145e5cb02a1b2493f0b26fa00c5432e8ae41517ec46cfe960cbc34 | MATLAB | 2,971 | 92 | function x_oct = smoothSpectrum(X,f,Noct)
%SMOOTHSPECTRUM Apply 1/N-octave smoothing to a frequency spectrum
%
% X_OCT = IOSR.DSP.SMOOTHSPECTRUM(X,F,NOCT) applies 1/NOCT-octave
% smoothing to the frequency spectrum contained in vector X sampled at
% frequencies in vector F. X can be a log-, magnitude-, or
% po... |
17c9199988f3584ce65e806f35eb87261efd3b24d50630b9daaf2a67a2deb71f | MATLAB | 2,973 | 64 | % Contact ythomas@csail.mit.edu or msabuncu@csail.mit.edu for bugs or questions
%
%=========================================================================
%
% Copyright (c) 2008 Thomas Yeo and Mert Sabuncu
% All rights reserved.
%
%Redistribution and use in source and binary forms, with or without
%modification, a... |
5c3f8d632b61d28f0d83949af392e273698069c0cca05747ca0d99a5288c564f | MATLAB | 2,974 | 88 | function plotModulatedCountsVenn(allROIs)
% Plots Venn diagram circles for the number of cells modulated for all
% intersections of the three events
% Paper ready figure/axis formatting
fig;
panelwidth = 2.25;
panelheight = 3;
leftoffset = 0.5;
bottomoffset = 0.5;
formatFigure(gcf, panelwidth, panelheight, leftoffset,... |
95dfa48b8868d32dc8a23e5eebb39f144ed181f8da689678d6145d6f58aea8e2 | MATLAB | 2,974 | 79 | function success=ea_hotfix(varargin)
% lead hotfix
success=0;
local = ea_getvsn('local');
web = ea_getvsn('web');
% if local version unknow or outdated, skip applying hotfix
hotfix = 0;
if strcmp(local,web) % local version is the latest release, applicable for hotfix
hotfix = 1;
end
earoot=ea_getearoot;
updurl =... |
fc3c26732b123a36698221f98b329cf1704aa8b307c9099f938a4994dcea7c2f | MATLAB | 2,974 | 87 | function [out, sigmab2] = ICC(cse,typ,dat)
%function to work out ICCs according to shrout & fleiss' schema (Shrout PE,
%Fleiss JL. Intraclass correlations: uses in assessing rater reliability.
%Psychol Bull. 1979;86:420-428).
%
% 'dat' is data whose rows represent different ratings or raters & whose
% columns rep... |
fea522c86eda0d963321e1b22f378fc1e128fcb7a78688eb756990d127f3eb48 | MATLAB | 2,974 | 96 | function [ newstruct1, newstruct2 ] = bz_Matchfields( struct1,struct2,mode )
%[ newstruct1, newstruct2 ] = bz_Matchfields( struct1,struct2,mode )
%Takes two structures that may have different fields and gives them the
%same fields. Mode can either be 'remove' or 'add' (mismatching fields)
%
%If struct1 is a cell array ... |
52d1b60d5420109a7072450d559338ca6503d034fc6b53b6ac312a033aa15e56 | MATLAB | 2,976 | 115 | function [HIPshanks, ECshanks]=getshankECHIP_LV_multi(animal)
if strcmp(animal, '3xTg1-1')==1
HIPshanks=[2,3];%2
ECshanks=5; %5
elseif strcmp(animal, '3xTg1-2')==1
HIPshanks=4;%3
ECshanks=6;
elseif strcmp(animal, 'WT45-2') == 1
HIPshanks =[3,4];
ECshanks =5;
elseif strcmp(animal... |
6796d785a0ebc9927e1c274564c82123496efbe5645039a3fe552deb18c5c4f6 | MATLAB | 2,976 | 85 | function [flowval cut R F] = max_flow(A,u,v,varargin)
% MAX_FLOW Compute the max flow on A from u to v.
%
% flowval=max_flow(A,u,v) computes the maximum flow on the network defined by
% the adjacency structure A, with source u and sink v.
%
% [flowval cut R F] = max_flow(A,u,v) returns the maximum flow in the
% networ... |
aaeb969e1a52c618dcc762026bbabe8b98274e92b103dea03b19db34d35cf198 | MATLAB | 2,976 | 82 | %% Figure 9 analysis
YOURDATAPATH = '';
% Load ROIs and border classifier data
fileList = searchFilesRecursive(YOURDATAPATH, 'allROIs.mat');
load(fullfile(fileList.folder, fileList.name))
fileList = searchFilesRecursive([YOURDATAPATH 'models'], 'areaGMMs.mat');
load(fullfile(fileList.folder, fileList.name))
% Using on... |
775bd8667cb258c8088a09bfbc45f2a11800c578d5c5afcbac7cd19a7a66d2ac | MATLAB | 2,977 | 81 | function y = base64decode(x)
%BASE64DECODE Perform base64 decoding on a string.
%
% BASE64DECODE(STR) decodes the given base64 string STR.
%
% Any character not part of the 65-character base64 subset set is silently
% ignored.
%
% This function is used to decode strings from the Base64 encoding specified
% in... |
c88355ce4d8ad309a66c0c0cc66ebf6328d194f0a4bf643c715f537f63ba9c92 | MATLAB | 2,977 | 101 | function [y, se] = predict(varargin)
% Interpolate a fit produced by locfit().
%
% predict(fit) produces the fitted values at locfit's selected points.
% predict(fit,x) interpolates the fits to points specified by x.
%
% Input arguments:
% fit The locfit() fit.
% x Points to interpolate at. May ... |
d4f0e490944344c6b7262662437882728e8245cb0ac4a8933eedd508287451ce | MATLAB | 2,978 | 65 | function [shifts,Mf] = register_frame(Yt,fftTempMat,fftTempPatches,patches,options)
minY = min(Yt(:));
maxY = max(Yt(:));
dim = size(Yt);
Yc = split_frame(Yt,patches);
fftY = fft(fft(fft(Yc,[],1),[],2),[],3);
nd = ndims(Yt);
n_patches = [length(unique(patches(:,1))),length(unique(patches(:,3))),length(unique(patches(:... |
f6c8ef669192cc0d2b825e31e6e1fd434e1ef3345e82d43a7a9777dfd9170fe8 | MATLAB | 2,978 | 62 | function [XtrP, XteP, pre] = foldPreprocess(Xtr, Xte, Ctr, Cte, scaleMode)
% foldPreprocess Per-fold, train-only preprocessing for the ML pipeline family.
%
% [XtrP, XteP, pre] = foldPreprocess(Xtr, Xte, Ctr, Cte, scaleMode)
%
% Composes the two train-only transformations every pipeline fold needs, in
% the one ... |
4cbd624420fa8b8f787fdf026d2e52a4c3cde6b93e444a12fef077e22563e91e | MATLAB | 2,979 | 79 | classdef ImportCellMaskProcess < DataProcessingProcess
%Class definition for cell mask import
%
% Copyright (C) 2021, Jaqaman Lab - UTSouthwestern
%
% This file is part of conditionalColoc.
%
% conditionalColoc is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public ... |
74e2bb5690106c0a935250222a3446e9bd195150f6532b2f1a923798c1bcba6c | MATLAB | 2,980 | 72 | %% params
nChSource = eval(['nCh', sourceArea]);
nChTarget = eval(['nCh', targetArea]);
grangerspctrm = eval(['grangerspctrm_', sourceArea, '2', targetArea, '_topo', topoArea]);
chs2Avg = eval(['chs2Avg', topoArea]);
if strcmp(topoArea, 'AC')
posIndex = 1;
else
posIndex = 2;
end
fIdx = cellfun(@(x) unique(dse... |
a0a85f0c04f7f10c8b5a6f447ede9a0a731261cfd24274f939dd03ef19f11601 | MATLAB | 2,980 | 121 | function result = cvmultnet(object, lambda, x, y, weights, offset, foldid, ...
type, grouped, keep)
if nargin < 10 || isempty(keep)
keep = false;
end
typenames = struct('mse','Mean-Squared Error','mae','Mean Absolute Error',...
'deviance','Multinomial Deviance','class','Misclassification Error');
if strc... |
37654a8521e781b5416a85c20d18be798fecaefd5c152ec88d4d2222c1ee1c33 | MATLAB | 2,982 | 88 |
function [classEvs] = checkEvents(ts)
% check events
ch = 'all';
basepath = pwd;
noPrompts = true;
eventsType = 'UDStates';
win = 5;
shanks = 1;
sw = [];
sessionInfo = bz_getSessionInfo(pwd, 'noPrompts', noPrompts);
lfp = bz_GetLFP(ch,'basepath',basepath,'noPrompts',noPrompts);
classEvs = ones(size(ts));
fprintf('%... |
40d57df379086147504dc8640078885273d52a05ca09b54a8abfae2fe484036f | MATLAB | 2,982 | 86 | % robust_kmeans() - an extension of Matlab kmeans() that removes outlier
% components from all clusters.
% This is a helper function called from pop_clust().
function [IDX,C,sumd,D,outliers] = robust_kmeans(data,N,STD,MAXiter,method)
% data - pre-clustering data matrix.
% N - number of wanted cluster... |
b5d7f6585fc723ca2d02170847085bd2a8a704d635cb82d0de80bc16763a308b | MATLAB | 2,982 | 93 | classdef CardPanel < uix.CardPanel
%uiextras.CardPanel Show one element (card) from a list
%
% obj = uiextras.CardPanel() creates a new card panel which allows
% selection between the different child objects contained, making the
% selected child fill the space available and all other childre... |
24d19d4de15566e0915469d72b7046fded72f946b95d9da0453549ce5ec0bc8c | MATLAB | 2,983 | 82 | function [C,phi,S12,confC,phierr,Cerr]=cohmathelper(J,err,Nsp)
% Helper function called by coherency matrix computations.
%
% Usage: [C,phi,S12,confC,phierr,Cerr]=cohmathelper(J,err,Nsp)
% Inputs:
% J : Fourier transforms of data
% err : [0 p] or 0 for no errors; [1 p] for theoretical confidence level,
% [2 p... |
fc1007211b3715a9229c050ff1a9ca5906304a9168800c3f0b12afb051c8a104 | MATLAB | 2,984 | 87 | % std_rebuilddesign - reduild design structure when datasets have been
% removed or added.
% Usage:
% STUDY = std_rebuilddesign(STUDY, ALLEEG);
% STUDY = std_rebuilddesign(STUDY, ALLEEG, designind);
%
% Inputs:
% STUDY - EEGLAB STUDY set
% ALLEEG - vector of the EEG datasets includ... |
35d8c5980336ac7bff5acaef4e4eca075827f35d3efc0aee8d4896df37bbc414 | MATLAB | 2,985 | 91 | function pvals_LC = myPLS_permut(X,Y,U,S,nPerms,grouping,normalization_img,normalization_behav,seed)
% Permutation testing over singular values obtained with PLS
% Rows (subjects) of Y are permuted within each diagnostic group
%
% Inputs:
% - X : N x M matrix, N is #subjects, M is #FC
% - Y ... |
5ddde85bb56e8691a934f26233f3236522e9158fdab6fe332d2e98b223b8e985 | MATLAB | 2,985 | 112 | function CBIG_pMFM_step1_generate_permutation_order_schaefer()
% This function is the first step of the permutation test of SWSTD-FCD
% correlation. In this step, 10000 permutation order will be generated and
% store for further use.
%
% Written by Kong Xiaolu and CBIG under MIT license: https://github.com/ThomasYeoLa... |
4f37e0271810ccc46fbbeefe598730b18ec9aa21b92f69ad883aa70a7ed202f8 | MATLAB | 2,986 | 90 | function varargout = plotLayout(varargin)
% Description: plot layout image to figures or axes
% Input:
% FigsOrAxes: target figures or axes array
% posIndex: 1 - AC of CC
% 2 - PFC of CC
% 3 - AC of XX
% 4 - PFC of XX
% alphaValue: alpha from 0 to 1.
% ... |
cf4aa40a6d700d4f790919e5c16ae10384408cb06f596e026eff9729a22c6742 | MATLAB | 2,986 | 88 | function [U,S,V,Lx,Ly,explCovLC,LC_behav_loadings,LC_RSFC_loadings] = myPLS_analysis(X,Y,normalization_img,normalization_behav)
% PLS analysis (main script)
%
% Inputs:
% - X : N x M matrix, N is #subjects, M is #FC
% - Y : N x B matrix, N is #subjects, B is #behaviors
% - normaliz... |
f4ac0fbecefa40c6366f680e31fae147bf92f4c875b84438c992a15f4f0c9f99 | MATLAB | 2,986 | 80 | ccc;
AREAs = {'AC', 'PFC'};
temp = dir("..\MAT Data\cwt result\Prediction\**\cwtres_*.mat");
ROOTPATHs = unique({temp.folder}');
%% Params
ncmb = 16;
%% granger causality computation
for rIndex = 1:length(ROOTPATHs)
disp(['Current: ', strrep(mu.getlastpath(ROOTPATHs{rIndex}, 6), '\single\', '\')]);
CWTPATHs... |
5cd323458719bb48302bce7bea0738c34bc85a6ce033ee8dff5fe7be55c49cab | MATLAB | 2,987 | 108 | function [ probs_sorted , index , probs ] = AssociationLDA( WP , BETA , W1 )
%% Function WriteTopics
%
% works on single samples as well as multiple samples
if iscell( WP )
% we are dealing with multiple Gibbs samples. Need to average
% predictions over these samples. Note that the WP samples do not have
... |
70c3bfbe3ac87e97e285a107ec2950f472bb188fda929c9dcc3fe785f0a1d483 | MATLAB | 2,988 | 94 | function [tuning_curve, theta, ang_hd, mr] = DirectionalTuningFcn(self, cel, varargin)
% Computes the head direction tuning curve.
%
% Arguments (see syntax (2)):
%
% binsize -> width of binsize in degrees
% Continuize -> merge overlapping epochs, and concatonate all data from
% root.epoch
%
% Returns
%
% tuning_curv... |
4edfe435908379cd934a8629fa1cb3d871973b3473ffc8879283a103d703cfa9 | MATLAB | 2,989 | 90 | addpath('/home/yh19218/Code_IF_2020/Connectivity Measure Toolbox/');
addpath('/usr/local/eeglab/')
load('validParticipants.mat')
load('electrodes.mat')
load('bandReference.mat')
bands = [0.5 4;4 7.5;8 12;12.5 16] ;
mainfolderlist = {'1_1s';'2_2s5';'3_5s';'4_10s'};
% Read the data
fileIndex = 4;
foldername = mainfolder... |
7f0aa6f14cec5a8ed2eb13b4f46ee4c1d6f1070599ad01f091e5acf0124749e1 | MATLAB | 2,993 | 76 | function [vvx, vvy] = get_vertex_velo_viscous(V, topo, VF, B, strain)
% GET_VERTEX_VELO_VISCOUS Solve for vertex velocities including
% cell-cell viscous adhesion coupling between neighboring vertices
% (Lees-Edwards sheared PBC version).
%
% [vvx, vvy] = GET_VERTEX_VELO_VISCOUS(V, topo, VF, B, strain) builds
% th... |
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