sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
af16a3c55b607effbec9cb722c38edcb7660ab691594d4b07f2eac7151975325 | MATLAB | 2,684 | 84 | %% Resample X(t) to Specified Hz
% Macro to handle resampling time series data from sampling frequency 'FS' to
% desired frequency 'newFS'
%
% CONFORM = ensure xt max and xt min are preserved by resampling; clipping
% if necessary;
% Copyright (C) 2023 Trevor S. Smith
% Drexel University College of Medicine
%
% This... |
a5469117e0292d6e69a5141f05532bd164c42c02197852a1d9fcb1d13c0c10ae | MATLAB | 2,685 | 60 | function [optimalDV, optimalFD, optimalPCT, minMSE] = mseCalculation(maxBias,totalNumFrames,targetedVariance,targetedRs,randomRs,FDcutoffs,gevDVcutoffs, totalNumFramesRemaining, pathToInternalDataFolder,useGSR)
%Calculation of delta MSE-RSFC per Section 2.3.2
subjTotalNumFrames = sum(totalNumFrames,2);
... |
b7ca8ac7cdf178aed3ef2accb9691ce423fb89c93f802e32d737ef474d40175f | MATLAB | 2,685 | 81 | %% Get Cell Centered Gradient Matrix
%
% Returns the gradient matix in either two or three dimensions.
%
% G = getCellCenteredGradMatrix(bcFlag,h1,h2,h3);
%
% Where G is the gradient and h# = [d1 d2 ... dn]'; where d is the size of
% each cell.
%
% Here, 'bcFlag' is a boundary condition flag. Set this to either:... |
1547587ae190a1430c1cb024d7af71ba1ff3fc47508d2d041aa76df14978ee3f | MATLAB | 2,686 | 77 | function [data_reg] = CBIG_VK2019_regrOutConfounds...
(data_nonreg,names_regr,regr_dir,motion_dir,RSfile_stem,idx_subj,names_subj)
% This function regresses out the effects of confounds on a data matrix.
%
% Inputs:
%
% - data_nonreg : N x X matrix, N is #subjects, X is #data variables
% - names_regr ... |
5c0b89b36d00d1d555d24d105c195e24788790b673b4bf2848d8d2da253a5f14 | MATLAB | 2,686 | 68 | function Dist = lme_mass_RgDist(Surf,maskvtx,vtxInd,Dtype)
% Dist = lme_mass_RgDist(Surf,maskvtx,vtxInd,Dtype)
%
% This function computes the distances among all vertices inside a region.
%
% Input
% Surf: Triangular surface. It is a structure with Surf.tri = t x 3 matrix
% of triangle indices, 1-based, t=#triangles... |
22bf2f4b3c15a52be69ef70b3c82502202ae274871331e4c81433eed92df3c25 | MATLAB | 2,687 | 92 | function [varargout] = mesh_heights_distribution(mesh,varargin)
% MESH_HEIGHTS_DISTRIBUTION Plots FEM mesh elements heights distribution.
%
% SYNTAX:
% MESH_HEIGHTS_DISTRIBUTION(MESH)
% MESH_HEIGHTS_DISTRIBUTION(MESH,RESOLUTION)
% [H] = MESH_HEIGHTS_DISTRIBUTION(MESH)
% [H] = MESH_HEIGHTS_DISTRIBUTION(MESH,RESOLU... |
2497b67cf6c50f6bb8c29d28cc60d7862b4bdaa61db010ca4a9976bfdf6a0c0c | MATLAB | 2,687 | 129 | function par_out = paramInitFunc(n,nt,dt,sigma,alpha,beta,niter_pcg,dTri,spacing,chi)
% this function returns the par structure
% defines the models size, parameters
% BC values if needed
par.dim = length(n);
if par.dim==2
%% 2D verison
%% Domain size, uniform grid
n1 = n(1);
n2 = n(2);
h1 = ones(n1,1)*spaci... |
ab9cf53ca86516c08554edadc8f716ef03091c32fc9896e2b5a50773eb8ada8a | MATLAB | 2,687 | 79 | function Icombo = id_synapses_pre_and_post_coloc(preinds,postinds,Iall,xystep)
%Creates a mask for synapses (combined channels) based on the intersection of pre- and
%post-synaptic markers
%intersection logic: OR within pre or post, AND between pre and post
%separate out pre-synaptic channels and combine using... |
30ecc00730bb0ae4753bd279e8e73375595ee5ca6a46360ff4f081ac45a9aa07 | MATLAB | 2,688 | 88 | 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 ... |
b44a22921f54177c200684ace9bd4df31cccfcb065f4b751fbc3fd9ac4d0de96 | MATLAB | 2,688 | 57 | function parallel_estimate_FIR_GLM(stat_path,sots_path,exp_folder,N,TR,model,FIR_window,FIR_bins)
% ========================================================================
% Ruslan Masharipov, October, 2023
% email: ruslan.s.masharipov@gmail.com
% ======================================================================... |
39ff9ed2b77a85c20235d6da6ab9599837a6320b5dfb0b7516e2077b380f02f3 | MATLAB | 2,689 | 78 | function linecolor = linecolor_common(cfg, varargin)
% LINECOLOR_COMMON implements consistent color handling for multiple channels/conditions
%
% This function is used by
% ft_databrowser
% ft_multiplotER
% ft_singleplotER
%
% It is not yet used by
% ft_connectivityplot
Ndata = length(varargin);
% it is ass... |
8eea70537b7bcb21d0d63b1dc16fbf097281d80ecc053d4bab400be20880d0e4 | MATLAB | 2,690 | 71 | function index = CBIG_gwMRF_index_trans_btwn2versions(lh_old_annot, rh_old_annot, lh_new_annot, rh_new_annot)
% index = CBIG_gwMRF_index_trans_btwn2versions(lh_old_annot, rh_old_annot, lh_new_annot, rh_new_annot)
%
% We now have different versions of Schaefer2018 parcellations. If you want
% to update from v0.8.1-Scha... |
07bb843aa31f4691c14dbd3c0ee5625884195b965d8a1850402745e22bcb57c8 | MATLAB | 2,691 | 70 | function h_loadQCamAnalysis3(handles)
global h_img3;
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
currentFilename = get(handles.currentFileName,'String');
[pname, fname, fExt] = fileparts(currentFilename);
analysisNumber = h_img3.(currentStructName).state.analysisNum... |
c4c5fbba59cc452a3e618c9f161b3a5facf45f924cd1b80070b8c961ee72ba66 | MATLAB | 2,691 | 51 | % IMAGES
% See also
%
% Display:
% clusterMontage - Used for visualization of clusters of images and videos.
% im - Function for displaying grayscale images.
% filmStrip - Used to display R stacks of T images as a "filmstrip".
% makeGif - Writes a matlab movie to an animated GIF.
% mon... |
e4045fee44a8a613edf2259c85b373077b32072567ccc092e5197843a50fe924 | MATLAB | 2,691 | 89 | function noise=noisecg(N,a1,a2)
%NOISECG Analytic complex gaussian noise.
% NOISE=NOISECG(N,A1,A2) computes an analytic complex gaussian
% noise of length N with mean 0.0 and variance 1.0.
%
% NOISE=NOISECG(N) yields a complex white gaussian noise.
%
% NOISE=NOISECG(N,A1) yields a complex colored gaussian noise
% obta... |
1924ac0f383cf1314c60b7ce1554481bac162898fbfdddd69b0e7728155c99bc | MATLAB | 2,692 | 97 | function coloredIm = drawSurfaceMap(scores,colMap,col,rang)
% function I = drawSurfaceMap(scores,colMap,color)
% - this code is used to make a surface map colored by score.
%
% [input]
% scores: values used for drawing map
% colMap: map information
% .idxSurfMap: map for index
% .colSurfMap: template map for ou... |
5186c3f9fb7baaa26d76cc8ff1a6eac2a25d78d6e5041daf71606b40ec963283 | MATLAB | 2,693 | 103 | classdef Recording < handle
properties
name
filePath
sampleRate
sampleCount
end
properties (SetObservable)
timeOffset = 0 % in seconds. (allows recordings to be offset in time to sync up with other recordings)
muted = false
end
... |
a41223a80b1eca4484a5219f39e61436018c0142c93c31bb17ca9acec76efc3c | MATLAB | 2,694 | 120 | load ../data/sigSL_allSessions_Ariel_230522.mat
S = sigSL_Ariel;
load ../data/sigRL_allSessions_Ariel_230522.mat
R = sigRL_Ariel;
do_save_fig = 0;
%% Natalie will re-do this for the version that's in the paper (06/05/2023)
%%
% av_win = 0.01;
av_win = 0.05;
sm = round(av_win/(S.t(2)-S.t(1)));
% v = 'TinC';
v = 'wh... |
e5fd8887eeeb113068cfb6ba545cbecd9b0a699dbb0ef6fa4eed9bec587881c8 | MATLAB | 2,694 | 69 | function [hdr] = read_nex_header(filename)
% READ_NEX_HEADER for Plexon *.nex file
%
% Use as
% [hdr] = read_nex_header(filename)
%
% See also RAD_NEX_DATA, READ_NEX_EVENT
% Copyright (C) 2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and deta... |
0947b428b673fa81ef2ac4b8ca417fb3f521e0605888a53af141013cc28ee00c | MATLAB | 2,695 | 52 | function making_npy_files_for_w_st_lc(folder_tif, folder_npy, inverting_x_y,num_of_cores_npy)
mkdir(folder_npy);
lc_channel_list = dir([folder_tif, '/*']);
lc_channel_list = lc_channel_list(~startsWith({lc_channel_list.name}, '.'));
lc_channel_list = lc_channel_list(cell2mat({lc_channel_list.isdir})==1);
l... |
1d540070622c622ce420a3b1f170ae147badd8792e602b8e554df785b0535443 | MATLAB | 2,695 | 108 | function [Reg,FinSize,DomId] = ClustReg(map,thr)
s=size(map);
s1=s(1);
s2=s(2);
Reg=zeros(s1,s2);
ClusSize=zeros(1,70000);
if map(1,1)>0
ClusNum=1;
Reg(1,1)=ClusNum;
ClusSize(ClusNum)=ClusSize(ClusNum)+1;
else
ClusNum=0;
end
for n=2:s2
if map(1,n)>0
if Reg(1,n-1)>0
Reg(1,n)=R... |
f8ca8f7d0068871e689cd8830e62bff1f70fd46069c1c7d653dbe10becbca360 | MATLAB | 2,695 | 104 | function newmatrix = wlFT_calcEventErrors(oldmatrix, errfunc, errlabel)
% function newmatrix = wlFT_calcEventErrors(oldmatrix, errfunc, errlabel)
%
% This function calculates reconstruction error for each detected event in
% the specified event matrix. Error is computed between the event and one or
% more context wave... |
fd304f107f4d964a2e246f4c4f6b9db3c0fab88f5d075d9a133433c27683e596 | MATLAB | 2,696 | 91 | % Demo for 2D neural field model.
% This demo inverts a linear 2D neural field model.
% NB: in this instance, the neural field is deterministic.
clear variables
close all
%---- Choose basic settings for simulations ----%
% dimensions
n_t = 2e2; % number of time points
ns ... |
0ac92b25fde6181fe43a6e5878ee4c2b06d07eac3ec6d93f4f38240d3e828337 | MATLAB | 2,697 | 70 | % RegisterStack_WithPreviousDFTShifts.m
% Sarah West
% 8/26/21
% Takes the frame-by-frame transforms previously calculated by a
% dftregistration and applies it to a stack. (dftregistration will give
% this to you as Greg variable as you're calculating transforms, but this
% code allows you to apply the transforms to ... |
96e24c5bdb145e54517f19fa832743b012628209910b428f88547ccdd4117500 | MATLAB | 2,697 | 73 | function [] = SpectrumPlotDensity(opt,xlims,ylims,npaths,PathwaySignal,Gwave,GridSize,ColorLims)
%%
%Estimate E1 & E2
E1=exp(-opt.TR/opt.T1);
E2=exp(-opt.TR/opt.T2);
%%
%Convert G to G/cm
opt.G=opt.G/10;
%%
%Gradient Block Calculations
%Define temporal gradient spacing
dt=(opt.TR*10^-3/opt.SpectraResolution);
%Perform ... |
c3e9139dff28f5a4680c496664af6223a982b7c4aa816790df645f2cb5b5bdb0 | MATLAB | 2,698 | 56 | function Xmatrix = Method_Protein_matrix(atlas_img,brain_sphere,out_path)
% Function: Preprocession of receptor PET images.
% Updata date: 2022.12.16
% Email:luolongcao@163.com
% addpath('E:\Project\AHBAenrich\utils1026');
%% recepter matrix of AAL116
% atlas_img='D:\work_dir\AHBAenrich\rawdata\brain_atla... |
f42592d2b52f72d34502125e13d524aecd8a7199deac2a5bec184ca87e0bef2b | MATLAB | 2,698 | 92 | function [mi, nmi, pij, pi] = mutualInfoAllPairsDiscrete(X, values, weights)
% Compute mutual information between all pairs of discrete rv's
%
% INPUT
% X(n,j) is value of case n=1:N, node j=1:d
% values is set of valid values for each node (e.g., [0 1])
% weights is an optional N*1 vector of weights per data case
%
%... |
315645473af5f9ac3851079d40394cd1819589b9fb5262eb43fcd907b84514b2 | MATLAB | 2,699 | 70 | function probs = data_to_probs(X, params, options)
% Compute probability distributions for time series data X
%
%-----------------------------------------------------------------------
% INPUTS:
% X: time series data in the form (units X time)
%
% params: parameters used for estimating probability d... |
a441b21fd872ab9feab6729a71076264bba3619c7d9a047d604c560955b79518 | MATLAB | 2,699 | 72 | % Normalized n-dimensional cross-correlation with a mask.
%
% Similar to normxcorrn, except takes an additional argument that specifies
% a figure ground mask for the T. That is T_fg must be of the same
% dimensions as T, with each entry being 0 or 1, where zero specifies
% regions to ignore (the ground) and 1 specifi... |
dfed3bf8513c126599d6a68d8133eda6c996b35cd1518da692109fa19b5be366 | MATLAB | 2,699 | 76 | function [avg] = read_ns_avg(filename)
% READ_NS_AVG read a NeuroScan 3.x or 4.x AVG File
%
% [avg] = read_ns_avg(filename)
%
% The output data structure avg has the fields:
% avg.data - ERP signal in uV (Nchan x Npnt)
% avg.nsweeps - number of accepted trials/sweeps in avg
% avg.variance - varian... |
3baed327d7870f7694ad30e217e17dfa5cacc4b5eea6c6b9e3ad5577bd0fc4b1 | MATLAB | 2,700 | 75 | % Run for ToR-ORd+Land electro-mechanical model
% (Margara, F., Wang, Z.J., Levrero-Florencio, F., Santiago, A., Vázquez, M., Bueno-Orovio, A.,
% and Rodriguez, B. (2020). In-silico human electro-mechanical ventricular modelling and simulation for
% drug-induced pro-arrhythmia and inotropic risk assessment. Progress in... |
6f766ec411eccdfbd6af306d3d8029ef049b8d61f7896aee6ed99c48ef6863d1 | MATLAB | 2,700 | 69 | function N = tangentspacefactory(M, x)
% Returns a manifold structure representing the tangent space to M at x.
%
% N = tangentspacefactory(M, x)
%
% N defines a (linear) manifold that is the tangent space to M at x. Points
% are represented as tangent vectors to M at x. Tangent vectors are also
% represented as... |
ba34d82411883401881390ab4057745b7beb1e0aa666adb1cc42d3ac6395293e | MATLAB | 2,703 | 60 | function AllRegions = FindRegionsOneImage(Image, dilateSize, min_pixels, fudgeFactor)
if size(Image,1)*size(Image,2)>300000
f = waitbar(0,'Large File! Please Wait While I Find Regions...');
end
% find threshold from Image, will use it in a few lines
% trying with 'log' edge detection method instead of 'sob... |
8d8284d98705eef4605cca1502529f771145ef5319dfdaa3f7479b84e92e4caf | MATLAB | 2,704 | 93 | function varargout = eigs_2x2(S,neigs)
S = reshape(S,[4,numel(S)/4]);
[n1,n2] = size(S);
if ~exist('neigs'), neigs = 2; end;
% compute the eigenvalues
a = S(1,:) + S(4,:);
b = sqrt(4*S(3,:).*S(2,:)+(S(1,:)-S(4,:)).^2);
lambda = zeros(neigs,n2);
isless = b <= 0;
if any(isless),
lambda(1,isless) = (a(isless) - b(isle... |
8ed729dde67ec6029f98f97f1125282f48ee6c0a4faf2843e099f8c45c8830c2 | MATLAB | 2,704 | 69 | function plot_wave_examples( x, options, trial, evaluation_points, source, rho )
% *SPONTANEOUS WAVES DEMO*
%
% PLOT WAVE EXAMPLES plot specific examples of spontaneous waves based
% on calculated values of \rho_{\phi,d}
%
% INPUT
% x - datacube (rows,cols,timepts)
% options - options struc... |
1d8edcafd216465657cb10114b7e7223060259813527704b7b9bcb8843ac9394 | MATLAB | 2,706 | 119 | %% Generic fMRI preprocessing
%
% Scan spider applicable to most fMRI.
%
% Performs:
% Drop initial volumes if requested
% Slice timing correction
% Motion correction
% Coregistration to T1 anatomical
% Transform to MNI space using specified warp from the T1
% Spatial smoothing
%% DEPENDENCIES... |
b58306178db3edd4b58342a0fb4deece009767492fffbeaf30aadea7b4b79435 | MATLAB | 2,706 | 54 | %% 功率谱密度 | power spectral density
%% 非参数方法-Welch法
% 使用welch方法[pxx,f] = pwelch(x,window,noverlap,nfft,fs)进行功率谱估计
% 调用调用bandpower(pxx, f, [f_low, f_high], 'psd')提取相对average band power特征
% 默认window=fs（即1s）, nooverlap=window/2
% X: single channel EEG signal (either a row vector or a column vector)
% opts.fs: sampling frequ... |
02f02e4f76dd53e15881633503d52b150e23539aaf66f07de993a570cd5f7eab | MATLAB | 2,707 | 76 | function plot_place_fields(varargin)
%plots place fields on each track, sorted by each of the tracks (2 tracks=4
%plots, 3 tracks=9 plots). first plot is a heat map of place field, second
%plot is a firing rate vs. position plot
%
%leave input empty if you want to use previous extracted place fields saved
%as a .mat fi... |
8dfc1b64070cd109ed54864aa3d7b8df01832cc0bf630842b0d91460f278de7e | MATLAB | 2,707 | 78 | function varargout = removevars(varargin)
% T2 = removevars(T1,vars) deletes the table variables specified
% by vars and copies the remaining variables to T2 (see diagram). You
% can specify variables by name, by position, or using logical indices.
%
% Use as
% T2 = removevars(T1, vars)
%
% This is a compatibility f... |
32e8bcf0f5b64b7c63f52723d78098184af2c3ed5f600506289434eafd37fa90 | MATLAB | 2,708 | 108 | function Results=PopAnal_FormatCorrShuff(AllTrialData,Phase,unit,timeWindow,opts)
%%
% timeWindow=[-1.5 -.5];
% Task related Firing Rate
disp(timeWindow)
%%
Conditions={ 'NancyPinchCheek','NancyPressCheek','NancyRubCheek','NancyTapCheek',...
'NancyPinchShoulder','NancyPressShoulder','NancyRubShoulder','NancyTapSh... |
0da4ea8a8d78f126e9bca5251089c2883daa6b795279dc5a68d6f6146c83fbc3 | MATLAB | 2,709 | 81 | function EEG = FlagTriggersInTrial(EEG, varargin)
% function EEG = FlagTriggersInTrial(result, varargin)
% flag trials for removal based on triggers in EEG, works across entire
% trial, not just the epoch (use FlagTriggersInWindow for within-epoch
% flagging).
% The trigger flagging looks at a period defined by two tri... |
dd0ecb49f2e56f2665a2d46e71088021f72cec0dd9379616d833b1220f3f98e1 | MATLAB | 2,709 | 80 | %_______________________________________________________________________
%
% Allow the experimenter to advance or exit the presentation
%_______________________________________________________________________
%
% In testing or development mode the presentation can be advanced by
% pressing dotInfo.keyReturn and exited ... |
c7c7730b66025170f1e4d11d384ddf7a4f869652915a241209ba1d180415157f | MATLAB | 2,710 | 95 | %% Simple test to make sure the logZ calculation is correct
% This file is from pmtk3.googlecode.com
%% Sprinkler network
% Small network, so we can use brute force enumeration to test
dgm = mkSprinklerDgm();
N = dgm.nnodes;
tol = 1e-5;
for trial=1:2
trial
if trial==1
clamped = sparsevec(1:3, [1 1 1], N);... |
ee0d7a9c4f63108d967365b8584450d0a4185839f86f4fb00fa75b50e2fd7662 | MATLAB | 2,711 | 109 | function [y, x] = resample_scnlab(data, p, q, varargin)
% Resample : Uses matlab's resample.m, but pads ends to avoid edge
% artifacts
%
% :Usage:
% ::
%
% [y, x] = resample_scnlab(data, p, q)
% % OR
% [y, x] = resample_scnlab(data, p, q, origHz, targetHz)
%
% Y = RESAMPLE(X,P,Q) resamples the sequence in v... |
6a7deaa65337d260c8b423fd3edf908ca916c3c05d92d93b841d18ad29bcf148 | MATLAB | 2,712 | 88 | clear;clc
path = 'D:\InVivo\ActiveTouch\2022-10-24_Daniel_Mix2_M1_Surface_221024_145539\';
load([path 'Processed\Processed.mat'])
load([path 'RawAnalog\badChannels.mat'])
%design bandpass filter for the broadband LFP
Fc = [300];
Wn = Fc./(20000/2);
[b1,a1] = butter(4,Wn,'low');
Fc = [10 90];
Wn = Fc./(1000... |
925d5a183f862fdaba9c494b372a77a097cccc9a2b5275f1c4ceafa74dc3253e | MATLAB | 2,713 | 80 | function BW = utils_RFC( par, mysize, dimvals )
% original version by: Hans Op de Beeck
% 2009 D Drucker
% 2016 Peter Kok
% 2017/10 Coraline Rinn Iordan
w = par.w;
A = par.A;
P = par.P;
step = par.step;
ODBsize = 299; % original image size used by Op De Beeck. Need this because the amplitudes and the smoothing kernel... |
a14333c56758cf0fc81488f57f6a1d861a8ff4e87fa008c81f233df765d9e005 | MATLAB | 2,713 | 90 | %% Compare the results of imputation on a MVN using three imputation methods: EM, ICM, and Gibbs
% PMTKauthor Cody Severinski
%%
% This file is from pmtk3.googlecode.com
setSeed(1);
d = 10; n = 100;
mu = randn(d,1); Sigma = randpd(d);
pcMissing = 0.2;
model = struct('mu', mu, 'Sigma', Sigma);
Xfull = gaussSample(mod... |
b20468f8ebedfbcb97026a61f667a9e32440c66c3e06dca1d191388139ea1679 | MATLAB | 2,713 | 71 | function file = dccnpath(filename)
% DCCNPATH updates the path in the filename of a test file located on DCCN central
% storage. It helps to read test file from Linux, Windows or macOS computers in the
% DCCN.
%
% Use as
% filename = dccnpath(filename)
%
% The function assumes that on a Windows machine the DCCN home ... |
86c9385bd1746db499bb808053f139a5e02aab4e5a875814157e302b112df2b1 | MATLAB | 2,714 | 117 | function draw_figureS3AB(p,encRes)
%
% This code is for drawing figure S3AB
%
%
%% settings
nSbj = length(p.sbjID);
%% draw figure S3A
% draw results
close all
h = ffigure;
cnt = 0;
drawScores = {...
'category'
'categcontinuous'
'dimension'
'dim28binary'
'dim28continuous'
};
% display sett... |
252eb0ab195f9d728173da63c5a832bee995b7a52a885c64cc3cf3f9dcd88e37 | MATLAB | 2,715 | 65 | function C = bst_bsxfun(fun, A, B)
% BST_BSXFUN: Compatible version of bsxfun function.
%
% DESCRIPTION:
% Matlab function bsxfun() is a useful, fast, and memory efficient
% way to apply element-by-element operations on huge matrices.
% The problem is that this function only exists in Matlab versi... |
621a25f5e04bb1b85c11b11bc18d5d326c5a1dc51885b4fbf19ff8aba6bed497 | MATLAB | 2,716 | 73 | function mesh = ft_defacemesh(cfg, mesh)
% FT_DEFACEMESH allows you to de-identify a scalp surface mesh by erasing specific
% regions, such as the face and ears. The graphical user interface allows you to
% position a box over the anatomical data inside which all vertices will be removed.
% You might have to call this... |
9dd38574d147139e281aa233453656832357b01e56251e9af1be772cc1fff89a | MATLAB | 2,716 | 98 | %% plot_saveModule
% Internal shared macro to handle saving figures; ensure that exported svg
% files remain fully-editable for offline post-hoc modifications
%
% Function should be fully defined
% Generally, this function will only be called from internal code,
% not from the user
%
% PARAMETERS
% f = figure to save ... |
ac6ad6c71666a48b0f6af2dccd33336f8498d4e010c6002255a95e6a85951ac5 | MATLAB | 2,716 | 73 | function mesh = ft_defacemesh(cfg, mesh)
% FT_DEFACEMESH allows you to de-identify a scalp surface mesh by erasing specific
% regions, such as the face and ears. The graphical user interface allows you to
% position a box over the anatomical data inside which all vertices will be removed.
% You might have to call this... |
cbb3fdea1f8d8f45e5c1f2b682b2ed60a20906b8ba4754b479b9f45a4ea70db1 | MATLAB | 2,716 | 72 | function result = find_conda_executable()
% Attempt to find the path to the conda executable.
persistent memoized_result
if isempty(memoized_result) ,
apt_conda_path = '/opt/conda/condabin/conda' ;
if exist(apt_conda_path, 'file') ,
% On Ubuntu, if you install conda via apt (apt as in Ubuntu/Debian apt-get,
... |
051c4c8260c7694543a487c3f07d1df19fc97f31ae0b8949cdb4f23b02b4673f | MATLAB | 2,717 | 111 | function [EEG, cuantos] = sound2event(EEG, channel, code, Threshold, win)
% sound2event v.2
% 3.4.2009
%
% for LAN & EEGLAB structur
% Sound 'si' or 'yes' to event
% needed --> earasecode.m
% eeglab
%
% EEG = data (EEG.data)
% channel = 53 % channel
% Threshold = 2 ... |
5b3f634a3f7e7ef214dffe2d0754c403990e28d5dddd582e954c8998d708670b | MATLAB | 2,717 | 86 | function [ EEG, bad_chans ] = s1_prep_childmind_eeg( eegpath, cfg )
% S1_PREP_CHILDMIND_EEG contains automated preprocessing procedures. See "prep_childmind_eeg_batch"
% for details.
% Copyright (C) 2023, Christoffer Hatlestad-Hall
% throw error if insufficient input
if nargin < 2
error( 'requires two i... |
3c2749d409d7149332f5356fa9c424fa6e79d21fd1ff80f078d02f6dcb559a0d | MATLAB | 2,718 | 76 | clear all
close all
HPC=1;
% roi definition file
if (HPC==1)
roifile="/scratch/cs/networks-pm/effects_externalfactors_on_functionalconnectivity/data/mri/conn_matrix/movie/group_seitzman-set1_info.xlsx";
else
% working on local computer
roifile="\cs\networks-pm\effects_externalfactors_on_functional... |
6f08c27edd43198ab5b41685b3f2d5616b84d6ffb9539007e4dd661e2b2b9b80 | MATLAB | 2,718 | 90 | function [varargout] = lmoutr(varargin)
% LMOUTR computes the la/mu parameters of a point projected to a triangle
%
% Use as
% [la, mu, dist] = lmoutr(v1, v2, v3, r)
% where v1, v2 and v3 are three vertices of the triangle, and r is
% the point that is projected onto the plane spanned by the vertices
% Copyright (... |
15523a4a739eb4693fc72318bcd494f7c03fc86bb1803f453c502bad8a89b21f | MATLAB | 2,719 | 60 | function y_Vol2Surf(InputFile,OutputFile,interp, TargetSpace)
% FORMAT y_Vol2Surf(InputFile,OutputFile,interp, TargetSpace)
% Input:
% InputFile - input filename
% OutputFile - output filename
% interp - interpolation method. 0: nearest. 1: trilinear.
% TargetSpace - Define the target space. 'fsaverage' o... |
d75e1de6b80d472a08244d8d7586a5171823200f888f1105ac426319b2a99c70 | MATLAB | 2,719 | 102 | %% GSA_FAST_GetSi: calculate the FAST sensitivity indices
% Ref: Cukier, R.I., C.M. Fortuin, K.E. Shuler, A.G. Petschek and J.H.
% Schaibly (1973). Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory. Journal of Chemical Physics
%
% Max number of input variables: 50
%
%... |
f9c80054a2eb7ba694df008777aba9ebe35ea2314ab7dd42b7a822b2aa259255 | MATLAB | 2,719 | 91 | function [varargout] = mesh_nodal_distance_distribution(mesh,varargin)
% MESH_NODAL_DISTANCE_DISTRIBUTION Plots FEM mesh edges length
% distribution.
%
% SYNTAX:
% MESH_NODAL_DISTANCE_DISTRIBUTION(MESH)
% MESH_NODAL_DISTANCE_DISTRIBUTION(MESH,RESOLUTION)
% [D] = MESH_NODAL_DISTANCE_DISTRIBUTION(MESH)
% [D] = MES... |
fcf3bed43fe6a7b49f8927e5538888c5591473ec1cf890321c7840df1fda546c | MATLAB | 2,719 | 99 | function spkDat = ResortSpikes(spkDat, trodeFile, ops)
pk = ops.peakLoc;
wL = ops.waveLength;
verbose = ops.verbose;
numFeatures = ops.numFeatures;
batchSize = ops.batchSize; % not currently used--just loads all of trodeFile into RAM.
% delete any repeated timestamps
[~, ia] = unique(spkDat.ts);
repeatTs = unique(spk... |
5cfe22da2298278ade8958fe9d2b70605c9cca3ac703725be2744aa53ff3b166 | MATLAB | 2,720 | 58 | function [deformation, seg_files]=segmentation(anat_file, tpm)
anat_vols=strcat(anat_file,',1');
[tpm_p,tpm_n,tpm_e] = fileparts(tpm);
tpm_cell=cellstr(spm_select('ExtFPList',tpm_p,['^' tpm_n tpm_e '$'],inf));
matlabbatch=[];
matlabbatch{1}.spm.spatial.preproc.channel.vols = {anat_vols};
matlabbatch{1}.spm.spatial.pr... |
60604f06a170308ba4d68af02712a80366d780a4fe5f2aafdd721418e6e75b58 | MATLAB | 2,720 | 108 | % 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,... |
d6fa8976de56b82cd8177e1e4c9ca61d76e900c11d1fd991c0f0045a1970b561 | MATLAB | 2,720 | 99 | function [img_filtered] = pystripe(input_img,varargin)
% This is adapted from pystripe / Kwanghun Chung Lab @ MIT
% and pystripe is adapted from ClearMap2 / Christoph Kirst
%
% Trying my best to do a faithful port.
% 'quick-lightsheet-correct' and 'nD-smooth' are not included
% Yuan-Ting Wu @ Yongsoo Kim Lab ... |
ea23ddeb6e480c80bbbeaf19c71347b16aeb822d70fa07f3643059afeecb23c9 | MATLAB | 2,720 | 114 | function [omckk,Tckk,Rckk,JJ] = compute_extrinsic_refine(omc_init,Tc_init,x_kk,X_kk,fc,cc,kc,alpha_c,MaxIter,thresh_cond),
%compute_extrinsic
%
%[omckk,Tckk,Rckk] = compute_extrinsic_refine(omc_init,x_kk,X_kk,fc,cc,kc,alpha_c,MaxIter)
%
%Computes the extrinsic parameters attached to a 3D structure X_kk given its proje... |
217da0e9c1788368b19139030d4d51299804a4531310386afad15d0a3991ed6b | MATLAB | 2,721 | 58 | % SOFA API - script demonstrating the usage of variables in the API
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences
% Licensed under the EUPL, Version 1.1 or – as soon they will be approved by the European Commission - subsequent versions of the EUPL (the "License")
% You may not u... |
864aab9d45c82c3c1a0ac920d09429eedbcdfcb7eb9b78491080d633594b26c9 | MATLAB | 2,721 | 71 | function FSM=CBIG_KRDNN_kernel_with_scale(data_KbyS1,data_KbyS2,index_S1,index_S2,type,scale)
% CBIG_KRDNN_kernel_with_scale(data_KbyS1,data_KbyS2,index_S1,index_S2,type,scale)
%
% This function compute kernel for kernel ridge regression algorithm based on
% data from two sets.
%
% Inputs:
% - data_KbyS1
% data ... |
b786c0be721a6d7f219d96c42027dd6ba53cc39494da6a4e64fe1faf22aa31f5 | MATLAB | 2,721 | 72 | function dgm = dgmTrain(dgm, varargin)
%% Fit parameters of a DGM
% If data is missing, we fit using EM
% otherwise we compute MLE/MAP of each CPD analytically
%
% If structure of graph is unknown, use dgmFit
%
%% Inputs
%
% dgm - a struct: use dgmCreate to create the initial dgm.
% e.g. dgmCreate(G, mk... |
22e05303c122ed60d945b65cf27c731d76a14fb8c4af15e6afd169d608744c73 | MATLAB | 2,722 | 80 | function BW = utils_RFC( par, mysize, dimvals )
% original version: Hans Op de Beeck
% (c) 2009 D Drucker
% (c) 2016 Peter Kok
% (c) 2017/10 Coraline Rinn Iordan
w = par.w;
A = par.A;
P = par.P;
step = par.step;
ODBsize = 299; % original image size used by Op De Beeck. Need this because the amplitudes and the smoothi... |
a3b6747c2ac5e91a38775c81edee56e905f4f892e4ab8a0a78819b7127437537 | MATLAB | 2,722 | 69 |
% Fix possible splitting of responses between two consecutive frames
% Version 2 - accumulate everything from one frame to the next
function ImageArray_CorrAmp_2 = FixSplitting2(ImageArray_CorrAmp, ImagesPerSequence,DisplayOn)
ImageArray_CorrAmp_2 = zeros(size(ImageArray_CorrAmp));
NumOfSequences = ... |
eb6ce7e9af6f8527b3cd1017fe3ec4bee24ec731634a908fdbe3e0607b626e7e | MATLAB | 2,722 | 59 | %Step 1 of CBIG Kong2019 Brain Parc Pipeline
%
%To run: 1. Open Matlab using salloc (ex: `salloc --mem-per-cpu 200G --time 2:00:00 --x11`)
% 2. source your config file containing the $CBIG_CODE_DIR variable
% -It might be helpful to `cd` to the $CBIG_CODE_DIR/stable_projects/brain_parcellation/Kong2019_MSHBM/step1..... |
a5ade063950338b2071bd4a75b59f05297b3fb01abec0ee69b208475e9d76991 | MATLAB | 2,723 | 77 | function subgrad = getSubgradient(problem, x, tol, storedb, key)
% Computes a subgradient of the cost function at x, up to a tolerance
%
% function subgrad = getSubgradient(problem, x)
% function subgrad = getSubgradient(problem, x, tol)
% function subgrad = getSubgradient(problem, x, tol, storedb)
% function sub... |
ee8eebc8796ed5a7b84f770390523f6eeacbe77fd323dfc4045a4f62f1ddaece | MATLAB | 2,723 | 66 | function bin_map = CHT_Segmenter(my_image, centers, radii)
HT_size = size(my_image);
bin_map = false(HT_size(1), HT_size(2));
num_detections = length(radii);
for this_rad = 1:num_detections
this_center_colony = centers(this_rad,:);
this_radius_colony = radii(this_rad);
% cover center of colony
... |
f46c7def2068b04fcbac99c69ddd20a0930c604046d8e414f72398c56f19f8e1 | MATLAB | 2,723 | 103 | function [data] = selfromraw(data, varargin)
% FIXME this function is not documented
selrpt = ft_getopt(varargin, 'rpt', 'all', 1);
selchan = ft_getopt(varargin, 'chan', 'all', 1);
seltim = ft_getopt(varargin, 'latency', 'all', 1);
if ischar(selrpt)
if strcmp(selrpt, 'all')
selrpt = 1:numel(data.trial);
e... |
f4c3b661bc80ced8ef63d35f935c69808cf70c4a58a787ab0e68cfba5c87ed18 | MATLAB | 2,723 | 102 | function [accuracy, balanced_accuracy] = VBA_accuracy (pred, data, type, isYout)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [accuracy, balanced_accuracy] = VBA_accuracy (pred, data, type, isYout)
% classification scores of binary or categorical predictor
%
% IN:
% - pred: predict... |
5ca80fd163b3678290c066f0a6303c7b8f2169942f84b6f6d4313f94e91e5e9b | MATLAB | 2,724 | 90 | function [varargout] = lmoutr(varargin)
% LMOUTR computes the la/mu parameters of a point projected to a triangle
%
% Use as
% [la, mu, dist] = lmoutr(v1, v2, v3, r)
% where v1, v2 and v3 are three vertices of the triangle, and r is
% the point that is projected onto the plane spanned by the vertices
% Copyright (... |
c7b813c7f2d8d1de92b86922bbf1c10ac0cc739a48bae420dbac542355c6d65d | MATLAB | 2,724 | 94 | function COR = cor_merge(COR1,COR2,varargin)
% <*LAN)<]
%
% v.0.0.02
% Pablo Billeke
%
% 06.06.2011
% 12.05.2011
%%% comprobaciones
if nargin > 2
COR2 = cor_merge(COR2,varargin{:}) ;
%COR = cor_merge(varargin{1:end-2}) ;
%return
end
%COR1=varargin{1}
%COR2=varargin{2}
c1f = sort(fields(COR1));... |
cea1ae4bc6d13c8b9180b8e8d2b16897402927d6e1773c2b27135a440b7be74c | MATLAB | 2,724 | 120 | function [XO, YO, XI, YI, XP1, YP1, XP2, YP2, theta1, theta1_FK, ...
alpha1, gamma1, gamma2, beta1, beta2, MuscleLength] = ...
MuscleOneJoint_SegmentAngles(a1,a2,phi1,phi2,R1,f1,n1,y1,y2,XC1,YC1)
% MATLAB code provided by Seyed Mohammad Ali Rahmati
% Affiliation: Biomechanics and Motor Control Lab, ... |
9f3d492475165900b0f5bd21ef35cb4502db450be9caf9d11ff97c3ea60a2160 | MATLAB | 2,726 | 102 | % Code to solve the spatio=temporal IRES. Basically a block coordinate
% projected gradient descent algorithm where the edges and the solution
% itself will be updated sequentially.
% Abbas Sohrabpour
% 5/5/2017
function [x, y] = FISTA_ADMM_IRES (Phi, TBF, TBF_norm, T_norm, alpha, lambda, W_v, V, L_v, x_0, W, W_... |
a43052339f37ae013efd056ce0dbb68a756f150c19c3f9461d722a0d256a2932 | MATLAB | 2,726 | 95 | function model = discrimAnalysisFit(X, y, type, varargin)
%% Fit a Discriminant Analysis model
% Input:
% X is an n x d matrix
% y is an n-vector specifying the class label (in range 1..C)
% type is one of the following
% 'linear' (tied Sigma)
% 'quadratic' (class-specific Sigma)
% 'RDA' (regularized LDA)
% 'diag' ... |
01b4a0d82ab722298d7cb7c1bcdcd53117201d0d365c810d08aa26c53f1b2b3a | MATLAB | 2,727 | 85 | %% Step 0: Put your data in the right file structure
% If you wish to do a rapid test with a small amount of data, run the
% simulator example in analysis/simlator/runSimulatorRound.m
% This is the demonstration from a full-size field of view sample, used in
% the publication Alon et al 2021 https://doi.org/10.1126/sc... |
b265bd92a34ec6332bc1cee59e74b6df9ed08891914760a0cb2c9a0418e13b4b | MATLAB | 2,727 | 56 | clear all
%%
%Define default parameters
[opt] = ParameterOptions();
%%
%Create an oscillating gradient waveform (here consistent with definition in Aggarwal et al.)
opt.nOscillations=3; % Number of oscillations per TR
opt.Waveform='Sine'; % Type of Oscillating Gradient. Choose from Rect (conventional rectangular ... |
b556f31bd10ee0ff2cc7d7bc2a4d172f4e56232b5e3e9e13fe95a1beb068e993 | MATLAB | 2,727 | 68 | %go_calib_optim
%
%Main calibration function. Computes the intrinsic andextrinsic parameters.
%Runs as a script.
%
%INPUT: x_1,x_2,x_3,...: Feature locations on the images
% X_1,X_2,X_3,...: Corresponding grid coordinates
%
%OUTPUT: fc: Camera focal length
% cc: Principal point coordinates
% alpha_c... |
2678cbb5d9e8c10d42ee99c8974f9ed3288ad88ed6756e9272cbb276104c4707 | MATLAB | 2,728 | 68 | function opts=Config_FormInvarSubsAnal(GlobalOpts, varargin);
opts=GlobalOpts;
opts.PlotShuffle=0;
[varargin,opts.Dates] = Utilities.ProcVarargin(varargin,'Dates',{opts.Dates});
[varargin,opts.shuffle] = Utilities.ProcVarargin(varargin,'Shuffle',opts.shuffle);
[varargin,opts.overwrite] = Utilities.ProcVara... |
5f1478c51c279ed48f4fe2c7acba4cd9fa395bb90dffd92eab1c2161a20987fc | MATLAB | 2,728 | 52 | function isargchar(varargin)
%ISARGCHAR tests if the given arg is a char and returns an error otherwise
%
% Usage: isargstruct(arg1,arg2,...)
%
% Input options:
% args - list of args
%
% ISARGCHAR(args) tests if all given args are a char and returns
% an error otherwise.
%
% see also: isargstruct... |
06bb8560de03ac4ddd06e9f0020caf125970b5705cb5a7d3cc0bd69ec388fd56 | MATLAB | 2,729 | 77 | function hdr = read_deymed_ini(filename)
% READ_DEYMED_INI reads EEG data from the Deymed Truescan file format
%
% Use as
% hdr = read_deymed_ini(filename)
%
% See also READ_DEYMED_DAT
% Copyright (C) 2013, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documenta... |
1cd3f89145a21dd7125ffe9492b8b8a365ccfde13e151fd46b44fa8c5755ac32 | MATLAB | 2,729 | 136 |
clear
% close all
Monkey = ['Monkey1']; % ['Monkey1' or 'Monkey2']
%---------------
AlignBase = ['PER_ON'];
%---------------
Align = [{'PER_ON'} {'GO'} {'MOV'} {'Touch'}] ;
%---------------
nPERM = 1000;
% --------------
Analysis = ['BETA']; % ['BETA' 'GAMMA']
for al = 1:length(Align)
cle... |
2b7dd04c7d4fbd9f46cbeaa1f838f24370fde782529ab7f36d341a35e2dcbe00 | MATLAB | 2,729 | 93 | function [tri] = projecttri(pos, method)
% PROJECTTRI makes a closed triangulation of a list of vertices by
% projecting them onto a unit sphere and subsequently by constructing
% a convex hull triangulation.
%
% Use as
% [tri] = projecttri(pos, method)
% where method is either 'convhull' (default) or 'delaunay'.
%
... |
0efbe4d37c6299ae8f86dc2b0200e286cafc36dca37020feaa48f03f76b90178 | MATLAB | 2,730 | 61 | function [ titleStr, settings, results ] = deleteFeatures( dataview, settings )
% This function removes one or more coordinate systems from the datasource.
% Attention: If other coordinates depend on the deleted coordinates (because they
% are derived from them), errors will result if those coordinates a... |
b6ff9dfbcf568042fbbb24a2026916ca81d672f36adfd1985b9062f4e3dc0ea0 | MATLAB | 2,730 | 76 | function data_out = kpcaSimple(data_in,num_dim)
%
% This function does principal component analysis (non-linear) on the given
% data set using the Kernel trick
%
% Data_Out = kernelpca_tutorial(Data_in,Num_Dim)
%
% Data_in - Input data (d (dimensions) X N (# of points)
% Num_Dim - Dimensions of output data. (Nu... |
0d61c1a2edd556bf2d328b4c8f2d7be7ae95566e77c3a4720bcd763d71776a45 | MATLAB | 2,731 | 107 | function [muPost, SigmaPost, logZ, lambda] = varInferLogisticGauss(y, W, b, muPrior, SigmaPriorInv, computeLoglik)
% Use a variational approximation to infer a Gaussian posterior
% given a Gaussian prior and a logistic likelihood for single case
%
% y(t) is {0,1}, t=1:T (num outputs)
% W is K*T where K is num latent d... |
c2193a4ba55faac66964fba8396e0fcf9f1c0f465aba2f967bb79d9618bb4ed9 | MATLAB | 2,731 | 54 | function [genotype] = interp_shortUnconfidentFrames(genotype,conf_thresh,dur_thresh)
nFlies = numel(genotype.trialID);
nBodyPart = size(genotype.bodyPartUV_sideConf{1},2);
nTrial = 15;
nPts = size(genotype.bodyPartUV_sideConf{1},1)./nTrial;
lowConfFrames = cellfun(@(x,y) x<conf_thresh | y<conf_thresh, genotype.bodyPart... |
eb9a00ee1ddf12c8da821ff6cd5200a14d3b62bda56be6b1f02e81606c911efc | MATLAB | 2,731 | 95 | function Aout = h_executecalcQCamRoi3(handles)
global h_img3
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
Aout = struct('roiNumber',[],'roi', [], 'timestr', '', 'filename', '');
fname = get(handles.currentFileName,'String');
[filepath, filename, fExt] = fileparts... |
321ec625733c1b93b17d1614c9a419ceb6694203956166af2368cebb4c29228b | MATLAB | 2,732 | 102 | function [Itheta,SigmaTheta,deltaMuTheta,suffStat] = VBA_Itheta(theta,y,posterior,suffStat,dim,u,options)
% Gauss-Newton update of the evolution parameters
if options.DisplayWin % Display progress
set(options.display.hm(1),'string',...
'VB Gauss-Newton on evolution parameters... ');
set(options.display... |
339118bb6b15ba28aea8f406c2af5e4214364a332e81f0851925ee629668e0ce | MATLAB | 2,732 | 76 | function Image_Mesh_Data_2hem(meshL,meshR,params,side,ctx,fig)
% This function renders a mesh with the shading/coloring determined by the
% values of the data at those points.
% Update 170222, info is now needed to account for acquision direction.
% Prev, his was optimized for transverse only. now sagittal is supporte... |
7ceb9bc4f7dba17acca5f1d8bea985c6bc758c1194a0da805bd996041e76f7c4 | MATLAB | 2,732 | 100 | %% Detect small calcium transients
Tr = traces.all;
disp('Detecting SCEs...')
[NCell,Nz] = size(Tr);
% Savitzky-Golay filter
Tr = sgolayfilt(Tr',3,5)';
% figure
% for i = 1:NCell
% plot(time,traces(i,:)+i-1)
% hold on
% end
% Detect Calcium Transients using a sliding window
TrRest = Tr(:,mvm.restEpochsInd... |
99da13175fbefafef9c9ea36290301bca75091647ad4a54ddeb1377bb2ba8e60 | MATLAB | 2,732 | 69 | function [rois, delInd] = afxCheckRois(rois,subjects)
fprintf(' Check for empty ROIs ...')
% get functional space
[~,XYZmm,~,~] = afxLoadFunc(subjects(1).conditions(1).func(1,:));
% get brain mask
[brainMask,~] = afxLoadMasks([],fullfile('masks','brainmask.nii'),XYZmm);
% load ... |
9ea79f9286e6816fbd7eab95a50540b545b5e28c2833caaeaa2fc423387eee13 | MATLAB | 2,732 | 104 | function [detvtx,sided_pval,pth,m0] = lme_mass_FDR2(pval,sgn,maskvtx,rate,tail)
% [detvtx,sided_pval,pth,m0] = lme_mass_FDR2(pval,maskvtx,rate,tail)
%
% Two-stage FDR approach to achieve tighter control of the FDR. This
% procedure is more powerful than the original FDR procedure implemented in
% lme_mass_FDR.
%
% Inpu... |
1d9733e0c956be854bff6f7e7db42095039e03d3323705547c1bd81588d86389 | MATLAB | 2,734 | 113 | % freq_correlation.m
% v.0.1
%-------------
% correlaciones entre frecuencias por trial
% experimental
%
% REQUIERE EN LAN.freq.cfg
% .corfr = 1
% .corfr1 = {f1:f2} {} ... Rangos de freciencia acorrelacionar de
% con corfr2
% .corfr2 = {f1:f2} {} ... Rangos de ... |
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