sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ab5e133d0aadd1cee353cfdc609d4a557427192c3d5300572291ec7a13ca4282 | MATLAB | 1,833 | 69 | classdef Scale < nntest
properties
x
a
b
end
properties (TestParameter)
dim = {1 2 3 4}
end
methods (TestClassSetup)
function data(test,device)
test.x = test.randn(15,14,3,2) ;
test.a = test.randn(15,14,3,2) ;
test.b = test.randn(15,14,3,2) ;
end
end
methods (T... |
01ac2346fc90839c6f6e67731381459f1b0f7a060cdbfa086c7feadc642fa51f | MATLAB | 1,834 | 43 | %% do stats on dynamic coding
data = decodingmatrix; %this is the group-level cross-temporal decoding matrix (subjects X time X time)
data = (data + permute(data,[1 3 2]))./2; %make matrix symmetric
nsubs = size(data,1);
ntimes = size(data,2);
xdiag = nan(nsubs,ntimes,ntimes);
ydiag = nan(nsubs,ntimes,ntimes);
... |
1bccf355e9bdd0bf5f6ba18575d9571375b8e4b7e9980bdd82d905753ef781e2 | MATLAB | 1,834 | 56 | function [K,dK] = covPeriodic(hyp, x, z)
% Stationary covariance function for a smooth periodic function, with period p
% in 1d (see covPERiso and covPERard for multivariate data):
%
% k(x,z) = sf^2 * exp( -2*sin^2( pi*(x-z)/p )/ell^2 )
%
% where the hyperparameters are:
%
% hyp = [ log(ell)
% log(p)
% ... |
64b682ec4aa8d54012237dc11f357755f6fe6a77b5fd4907f59981c1405fbf06 | MATLAB | 1,835 | 42 | % NDIMS - number of dimension of memory mapped underlying array
%
% Author: Arnaud Delorme, SCCN, INC, UCSD, Nov. 2008
% Copyright (C) 2008 Arnaud Delorme, SCCN, INC, UCSD
%
% This file is part of EEGLAB, see http://www.eeglab.org
% for the documentation and details.
%
% Redistribution and use in source and binary for... |
6de7a7f4193372fa38fdd282544af0c53441c42ab742f95d21d0bfea14cb91d2 | MATLAB | 1,835 | 67 | function colList=setCoactColor();
regList={'vCA1','vCA3','vSub','BLA','LA','CeA','PrLL23','PrLL5','STIA','others'};
col=flatColorMap(length(regList));
for regIdx=1:length(regList)
colList.region.(regList{regIdx})=col(regIdx,:);
end
colList.region.PL5=colList.region.PrLL5;
colList.region.PL23=colList.region.PrLL2... |
c11c9a550b81c7674c769ff255115a011deb445e43c620ffe1f97741b61bd3dc | MATLAB | 1,836 | 60 | function [DA_sub, DA_err, T, tstartbl, tzero, tafter, yint, slope] =...
rew_effect_stages(bstruct, pstruct, block, Alignments,...
rewards, Stages, window)
%initiate variables
DA_sub = cell(length(rewards), length(Stages));
DA_err = cell(length(rewards), length(Stages));
yint = NaN(1, length(Stages));
slope =... |
c670958dd30d69d1a3a803580d2ae44cbc7ff3fc8e36f391f2851069ada524df | MATLAB | 1,836 | 62 | function otherImage = binarize(this, threshold, caseEqual)
% transforms image into binary image with pixels >= threshold set to 1
%(0 stays 0)
%
% NOTE: NANs set to 0 and Infs are set to 1.
%
% Y = MrImage()
% Y.binarize(threshold)
%
% This is a method of class MrImage.
%
% IN
% threshold thresholding value... |
02e9ee7bac6fa63fb68813b0f45c87d86e8c92e8a61097e63067dea68a81b538 | MATLAB | 1,837 | 44 |
function [out] = op_combine_water_subspecs(in,average)
% Some formats end up having subspectra in their reference scans
% (e.g. Philips), as well as empty lines. Intercept these cases
% here.
if nargin < 2
average = 1;
end
out = in;
if out.subspecs == 2
raw_A = op_takesubspec(out,1);
... |
0c2a58933e36a726a6ce7d86b82faae1f4a87470bf217b87f86b5469d9b87220 | MATLAB | 1,837 | 55 | %% [RDF] = Wrapper_BFR_VSHARP(totalField,mask,matrixSize,voxelSize,algorParam, headerAndExtraData)
%
% Input
% --------------
% totalField : total field map (background + tissue fields), in Hz
% mask : signal mask
% matrixSize : size of the input image
% voxelSize : spatial resolution of each dimensi... |
a9689cd9905e6b4415b4bbc56b8ff19f8cf4723e16b507dd771320983d2a6bd0 | MATLAB | 1,837 | 57 | function [c,slope,rSquared,SSres] = CorrByColumn(A,B,parametric)
% CorrByColumn - correlate each column of matrix A to each column of matrix B
%
% This is a faster implementation of the loop:
% for i=1:size(A,1), c(i) = corr(A(:,i),B(:,i)); end
%
% Input:
% A matrix
% B matrix
% parametric ... |
61ae24529c26e25971f4b2fa34da8abe5f33d5f75ca92358f201f915715f0740 | MATLAB | 1,838 | 58 | classdef diffeo < brca.dot.field
% FORMAT dot_diffeo = brca.dot.diffeo()
%
% Inner product between 3D volumes based on a a mixture of differential
% energies (absolute, membrane, bending, linear-elastic) implemented using
% finite differences.
%
% References:
% -----------
% - Ashburner J., "A Fast Diffeomorphic Regist... |
6f45207e97ed2d5a64abc084ab118333ecb0c06bd48fd04e6e7896d59b185066 | MATLAB | 1,838 | 55 | function outputImage = resize(this, newDimInfo)
% Resizes ND-array to a new matrix size (nSamples), given by dimInfo.
% Singleton-dimensions are replicated, while others are interpolated to the
% new number of samples in that dimension
%
% Y = MrDataNd()
% Y.resize(newDimInfo)
%
% This is a method of class MrDataNd... |
76c2d2121bbca51deb08f1a3b50b196d8fbc000b6ffccca44a44efab5d321f1d | MATLAB | 1,838 | 50 | function R = CheckDuplicate(R,vecPosition)
% Function checks whether any newly generated combination set vector has
% been previously generated and tested. All tested vectors are listed in
% TabuList to prevent re-testing of previously tested vectors. Function
% returns value 'duplicate = 0' if R is uniqu... |
0727bc1cce75c34380663be6c0d0bab84a1ed433faaa35a11b56905081e0c6dc | MATLAB | 1,840 | 55 | function merge_Callback(hObject, eventdata, handles)
cd(handles.data.squeakfolder);
[detectionFilename, detectionFilepath] = uigetfile([handles.data.settings.detectionfolder '/*.mat'],'Select Detection File(s) for Merging','MultiSelect', 'on');
if isnumeric(detectionFilename); return; end
[audiofile, audiopath] = uig... |
4ab853bfdec8e932b685703f70afff383e0ec0119d984b810e38de0656b69c8f | MATLAB | 1,840 | 48 | function ss = FastFirstEchoEddyCorrect(ss,mask);
dims = size(ss);
to = dims(4)-(mod(dims(4),2)); % This is to ensure the same number of even and odd echos are used in the estimation
PhaseDiff_2_1 = (abs(ss(:,:,:,2)).*(ss(:,:,:,2)./ss(:,:,:,1)));
PhaseDiff_2_1(isnan(PhaseDiff_2_1)) = 0;
PhaseDiff_end_2 = (mean(abs(s... |
7ee227143f74bceb1965ed7ee77f9279eca0a1fa35788dbe074675f88279b579 | MATLAB | 1,840 | 71 | function [xnew, Vnew, loglik, VVnew] = kalman_update(A, C, Q, R, y, x, V, varargin)
% KALMAN_UPDATE Do a one step update of the Kalman filter
% [xnew, Vnew, loglik] = kalman_update(A, C, Q, R, y, x, V, ...)
%
% INPUTS:
% A - the system matrix
% C - the observation matrix
% Q - the system covariance
% R - the observat... |
ab7c14db69148a45908b9a63b04bd8879b17cee187a754ff3ae38ae802594792 | MATLAB | 1,840 | 68 | function [ k_ , k_distibution , g_ ] = computeGraphCommunityStructureMarginals( estimate_output )
%COMPUTEGRAPHCOMMUNITYSTRUCTUREMARGINALS( estimate_output ) Computes the
%marginal distributions to estimate community structure of a graph given
%the results of (several rounds) of Markov-Chain-Monte-Carlo sampling to
%fr... |
980dbe01588213ae603a4036f288cfb345fc2ca6b50f24424ee6f39045390922 | MATLAB | 1,841 | 48 | %% function [MaskThresholded, Gmag, Stats] = GradientBasedThreshold(FieldMap, Mask, Lambda)
%
% Description: Compute a mask based on the (magnitude) of the gradient of
% the fieldmap.
% Input
% _____
% FieldMap : local field map in [Hz] (3D)
% Mask : input brain mask (logical, dim... |
8fcead0d67e593c76945cfd3c91215c706d937d952fc278d7c1f22ced0ca4dd3 | MATLAB | 1,842 | 65 | % op_concatAverages.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% out=op_concatAverages(in1,in2);
%
% DESCRIPTION:
% Concatenate two scans along the averages dimension. Two scans with 50
% averages each will now look like a single scan with 100 averages. For
% looping, it is possible to enter a blank structu... |
d6d425c7ec0c1029b3cf9f81c3b8b06196971b1db43cc0d2061b6280854c2808 | MATLAB | 1,842 | 44 | function tapas_kf_plotTraj(r)
% Plots the estimated or generated trajectories for the Kalman filter.
% Usage example: est = tapas_fitModel(responses, inputs); tapas_kf_plotTraj(est);
%
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2016 Christoph Ma... |
dcc54bddd158e517079a4c49655309a483e4382b1ddcf001ef27bb050fd62381 | MATLAB | 1,842 | 37 | function [post nlZ dnlZ] = infGaussLik(hyp, mean, cov, lik, x, y, opt)
% Exact inference for a GP with Gaussian likelihood.
%
% Compute a parametrization of the posterior, the negative log marginal
% likelihood and its derivatives w.r.t. the hyperparameters. The function takes
% a specified covariance function (see co... |
7ebf1f57d482014c54fd9e0d761d0823c7859dc224f87dc0e678f01576ff24cc | MATLAB | 1,843 | 45 | %% =============================
% PALM Analysis: Extinction CS
% =============================
% --- Locate repo root (relative to this script)
thisfile = mfilename('fullpath');
[scriptdir, ~, ~] = fileparts(thisfile);
cd(scriptdir); % Ensure consistent working dir
% Navigate up to FEARTUS root
repo_root = fullfil... |
c16d8cc0ef4da39255491728e90860e5bf774fa2a82a79c065d1ff2fd4b2d9e9 | MATLAB | 1,843 | 47 | function [bestParam,bestParamScore,bestParamIdx] = gridSearch(objFun,data,...
paramGrid,varargin)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% gridSearch performs grid search over hyperparameter space provided and
% returns best hyperparameter combination.
%
% Arguments
% objFun =... |
e23f14fc1064e37e6490eea5d22d8150267cd15e81ebb1918ae62d1593fac6cc | MATLAB | 1,843 | 49 | Wd = function (matvec)
%take a 12 param matvec, typically WARPDRIVE_MATVEC_INV_000000 and
%change it to a WARP_DATA
%Used to test transformations needed to make AFNI use 3dWarpDrive's output
%as a TLRC transform
if (nargin == 0) matvec = [];
if (isempty(matvec)),
WARNING: Using preset matvecs!\n\n');
%test case... |
e5562f3834d0c73c1dd1b4467d870795c5337ae8129b79d6de3d2fd800b5cd79 | MATLAB | 1,843 | 45 | %% =============================
% PALM Analysis: Extinction CS
% =============================
% --- Locate repo root (relative to this script)
thisfile = mfilename('fullpath');
[scriptdir, ~, ~] = fileparts(thisfile);
cd(scriptdir); % Ensure consistent working dir
% Navigate up to FEARTUS root
repo_root = fullfil... |
b746701000ffff116b9fa48bb5a6815f41300c342fa58a6f2efc7f09135ea133 | MATLAB | 1,844 | 49 | for yy=1:length(viewswanted)
Lookup = []; % for each new view, need to reset the cache
for zz=1:length(atlases)
% define
if ischar(atlases{zz}{1})
dataname = atlases{zz}{1};
if isequal(atlases{zz}{1},'curvature')
data = []; % in this case, we just allow default mechanisms to take hol... |
f00017891d2b872867ece99944058a806d711882812acfe9c7467179afbcc575 | MATLAB | 1,844 | 73 | clc
clear all
close all
% The IoU, F1 score (Dice coefficient) calculated from the DL-based Pupil Segmentation output mask and the manually marked pupil area
processedpath = input('Enter processed_data location(such as /home/processed_data): ', 's');
[diceleft,miouleft] = textread([processedpath ,'\Pre-trained_model... |
2489a837679173ff5d6fdad46ae24c2a6ec4780428b99398806cb067f7d1866a | MATLAB | 1,845 | 65 | function plot_fig3g_right(datadir)
% Plot z-scored rat trial initiation time and model simulation regressed
% against reward delays in the last 15 trials. For visualization, only 7
% trials are shown. N = 10 rats.
%
% INPUTS
% datadir: file path of data downloaded from Zenodo. Link to download can
% be found in README.... |
4edbf6eaebea656668091c7deecd14ea5983a698521cc0f5daa48fa1fe5a7733 | MATLAB | 1,845 | 54 | function [icon,ctxtxi,betas,num_act,prop_act] = meta_apply_contrast(data,varargin)
%
% Fast form for use in Monte Carlo:
% [icon,ctxtxi] = meta_apply_contrast(data,ctxtxi)
%
% Full form used in setup: (meta_prob_activation)
% [icon,ctxtxi,betas,num_act,prop_act] = meta_apply_contrast(data,Xi,wts,contrasts)
% betas = OL... |
64be5cca7adb8de2bee2aed7c661e381980ca17150b0c303bdea3a609ec720a1 | MATLAB | 1,845 | 60 | function f = CR_RAD(x, tau, doAbs)
% RAD Compute the rescaled auto-density, a metric for inferring the
% distance to criticality that is insensitive to uncertainty in the noise strength.
% Calibrated to experiments on the Hopf bifurcation with variable and unknown
% measurement noise.
%
% Devised and implemented by Bre... |
b7a9c880d187a01edfcf0451cf734fdbb2ced944074f3fc4bc26514b6a36a839 | MATLAB | 1,845 | 70 | function [xf,p] = fsgwindow(x,ord,fw,lag,step,positions)
% function sgwindow - fast windowed Savitzky-Golay filtering
%
% syntax: xf = fsgwindow(x,ord,fw,lag)
% syntax: [xf,p] = fsgwindow(x,ord,fw,lag,step,positions)
%
% Input parameters:
% x: Input data, will be filtered column-wise.
% ord: Filter order.
% fw: For sc... |
0fce579f8024d04f92c3577bc508cf0bddc5c8dbf03981bd7f68125b4d01f54a | MATLAB | 1,846 | 57 | function this = compute_stat_images(this)
% computes statistical images for time series QC, such as
% mean, standard deviation (sd), signal-to-noise ratio (snr)
% coefficient of variation (1/snr) images
% difference images between last/first (drift) and odd/even (image noise)
% volumes
%
% Y = MrSeries()
% ... |
72f2233db1d505e213a8b171751e8f7b966e9f935d65fe9dfa6946e94a49a9f6 | MATLAB | 1,846 | 71 | function plot_fig2e(datadir)
% Plot average event-aligned dopamine release split by delay to reward
% quartile. Signals are z-scored and baseline corrected before pooling
% across rats (N = 10).
%
% INPUTS
% datadir: file path of data downloaded from Zenodo. Link to download can
% be found in README.
basedir = fullfi... |
e0e6b8aa1c675ec94910deefa29eeeb61c05b99f786f5e97e6628197b3a9e451 | MATLAB | 1,846 | 65 | function pks_all = gp_match(AllData, tICAData, factor)
%UNTITLED7 Summary of this function goes here
% Detailed explanation goes here
pks_all=zeros(1,12);
[~,time_dim]=size(AllData);
% similarity=dot(tICAData,AllData)';
% for j=1:time_dim
% similarity(j,1)=similarity(j,1)/norm(tICAData(:,j))/norm(AllData(:,j));
%... |
811feae38f89ea93672f33170e04dd55117d66f9b95cd9c810db7c898dbced53 | MATLAB | 1,848 | 45 | function [Parameters] = BullwinkleParameters()
%function [Parameters] = BullwinkleParameters()
%
% Create a parameters stucture for scoring with Bullwinkle
%
% Bullwinkle is a per-pixel scoring method, made to complement
% the blob-based scoring method ROCKY
%
% to complain about the bad pun, email bjm@wossamotta.e... |
d02df6fa388b8d55c2eb7b3e23d5e85751dd6c79124b5b94594550b6a84ba7ae | MATLAB | 1,848 | 56 | function [DA, DA_err, T, AUC] = rew_effect(bstruct,...
pstruct, block, rewards, Alignments, port)
DA = cell(length(rewards), length(Alignments));
DA_err = cell(length(rewards), length(Alignments));
AUC = nan(length(Alignments), length(rewards)); %initialize AUC output
for a = 1:length(Alignments)
T = lin... |
f1719ec5f7364a07f387860d51d749aa4fc8a9b37a7cd9e904dcbd4026afe060 | MATLAB | 1,848 | 47 | % DISPLAY - display an EEG data class underlying structure
%
% Author: Arnaud Delorme, SCCN, INC, UCSD, Nov. 2008
% Copyright (C) 2008 Arnaud Delorme, SCCN, INC, UCSD
%
% This file is part of EEGLAB, see http://www.eeglab.org
% for the documentation and details.
%
% Redistribution and use in source and binary forms, w... |
983f31ed76f0616f2bbb314f0d72c2291e436e9bc8b5f6a33096203c3d0f4b56 | MATLAB | 1,849 | 58 | function [D] = mahal_trialwise(data,angs,foldvar,timelist)
% [D] = mahal_trialwise(data,angs,foldvar,timelist)
%assign stimulus variable for decoding
sortvar = angs;
trl_ind = 1:size(sortvar,1);
nbin = 2;
pbin = 1/4;
D = zeros(size(data,1),nbin,size(data,3));
% time window for covariance
sigmawin = timelis... |
9e441432d457fcd440444afa4c857feffd3db3e6688e5cc2992927f38edaf0ee | MATLAB | 1,849 | 53 | % (C) Copyright 2020 Remi Gau, Marco Barilari
function opt = getOption()
%
% returns a structure that contains the options chosen by the user to run
% slice timing correction, pre-processing, subject and group level analysis.
%
% for more info see:
% <https://cpp-bids-spm.readthedocs.io/en/late... |
9b98684672f37483e047dcd32f13a2f202a134e20c39e0adb00d29351cde34be | MATLAB | 1,850 | 47 | function ProcessData_ExtendedData10(datadir, savedir, codedir)
%ProcessData_ExtendedData10 - Process raw data saved under datadir such that it can be plotted by PlotExtendedData10.
% INPUTS:
% datadir - Local directory where 'Golden_Nature/RawData_ExtendedData10.mat' from Zenodo was saved
% codedir - Local director... |
ccca5cd65a72992468d617aa1dd10eb14d555a9a1c1bb4bad97ac6b05165c6b3 | MATLAB | 1,850 | 47 | function fieldtrip2bis(filename, elec, mrifile)
% FIELDTRIP2BIS writes BioImage Suite .mgrid files with eletrode
% positions in 'xyz' coordinates using a elec datatype structure and the
% corresponding MRI volume
%
% Use as
% fieldtrip2bis('Subject_grid.mgrid', elec, 'Subject_MR.nii')
%
% See also BIS2FIELDTRIP, ... |
dc09a6b22790004986b5ab10f0024f7ec7ade2ebeae6d73f918ebb0db4edbc38 | MATLAB | 1,850 | 68 | Pmodels = fullfile(Pbase, [filesep 'models' filesep 'SN' filesep]);
Pdata = fullfile(Pbase, 'spm_datasets_anon');
Psave = fullfile(Pmodels, 'GCM_fitted');
use_parfor = 0;
winStart = 61;
winStop = 240;
files = dir([Pmodels filesep 'GCM*.mat']);
%%
if ~exist(Psave, 'dir')
mkdir(Psave);
end
if use_p... |
2edffb899a3fd53b99efbd9164b2765a9accf9dcd9605f0a7999383e31847eba | MATLAB | 1,851 | 68 | Pmodels = fullfile(Pbase, [filesep 'models' filesep 'DMN' filesep]);
Pdata = fullfile(Pbase, 'spm_datasets_anon');
Psave = fullfile(Pmodels, 'GCM_fitted');
use_parfor = 1;
winStart = 61;
winStop = 240;
files = dir([Pmodels filesep 'GCM*.mat']);
%%
if ~exist(Psave, 'dir')
mkdir(Psave);
end
if use_... |
7ab143c1e60be87327feb3727db7cc6228567ee10057acd808dd7cb105efa23b | MATLAB | 1,851 | 46 | %{
preprocess.SyncedMonet (computed) # Monet stimuli synced to frame times
-> preprocess.Sync
-----
movie = null : longblob # movie synced to frame times
%}
classdef SyncedMonet < dj.Relvar & dj.AutoPopulate
properties
popRel = preprocess.Sync & preprocess.PrepareGalvo
end
methods(Ac... |
6f845549c63ae6bab683dc90d08e615aac611ae763e93c82a41dc81279324215 | MATLAB | 1,852 | 44 | function [lp,dlp] = priorGaussMulti(mu,s2,x)
% Multivariate Gaussian hyperparameter prior distribution.
% Compute log-likelihood and its derivative or draw a random sample.
% The prior distribution is parameterized as:
%
% p(x) = exp(-r2/2) / sqrt(det(2*pi*s2)) where r2(x) = (x-mu)'*inv(s2)*(x-mu),
%
% mu(Dx1) is th... |
afaa9d2dfdbaa7f09eb9ed7a5cbd87c1d4b817822fbb3a1104fae062afa90214 | MATLAB | 1,852 | 66 | function [realblock, treal, tincong, vios] = blockhmat_withvios(A)
tot_trials = [0; cumsum(A.ntrials)];
[~, A.reward] = convertreward(A.reward);
realblock = nan(length(A.ntrials), max(A.ntrials));
treal = realblock;
vios = realblock;
rew = realblock;
tincong = realblock;
for sess = 1:length(tot_trials)-1
realbl... |
e40b8657beab05880de3697951119270352b75b31c382cacca5ffafca2b9811c | MATLAB | 1,852 | 58 | function convertGallantV1Aligned(directory, dryRun)
if ~exist('dryRun', 'var')
dryRun = false;
end
if ~exist('directory', 'var')
directory = 'v1_nis_data';
end
stimuliDir = [directory, '/stimuli'];
addpath(genpath([directory, '/../functions']));
scriptDir = fileparts(mfilename('fullpath'));
addpath(genpath([scr... |
6f5b3ded826bb3e67ef6f5afe06ff00b01a0dfe547761ad581c7d8403ffddff8 | MATLAB | 1,853 | 63 | function [RHSdiv, RHSdivx, RHSdivy, RHSdivz] = divergenceTermCylindrical3D(F)
% This function calculates the divergence of a field using its face
% average flux vector F, which is a face vector
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
%... |
b7aa5c3baf45f53d6aaa4dcc3b7e6019c78b1e2159897438565d8ab5cd59f2a7 | MATLAB | 1,853 | 64 | function ft_plot_moco(file_rp, software, path_output, name_output)
% Plot moco
%
% ft_plot_moco(file_rp, software, path_output, name_output)
%
% Inputs:
% file_rp - file name of textfile with realignment parameters.
% software - which software was used (spm or afni).
% path_output - path where output is wr... |
03af6a781b42e81e49d0822170c2675f76de5acf397cc30989ad54100591c1ce | MATLAB | 1,854 | 47 | function [matched,logicalReference,missingElements] = MatchMatrices(reference,query)
% MatchMatrices - match matrices and find conserved rows between them.
%
% USAGE
%
% [matched,logicalReference,missingElements] = MatchMatrices(reference,query)
%
% reference 2D matrix where the elements of query will se... |
e268e7192a88ce27b338c6e13e482873e5c70c308ce69e8b3ace50a2e8fc07d9 | MATLAB | 1,854 | 64 | function ft_flush_event(filename, varargin)
% FT_FLUSH_EVENT removes all events from the event queue
%
% Use as
% ft_flush_event(filename, ...)
%
% See also FT_FLUSH_HEADER, FT_FLUSH_DATA
% Copyright (C) 2007-2010 Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the do... |
7ae44391f326570109e30cb9c879685a86376e8b07eda58b6abb75f800e5b9dc | MATLAB | 1,855 | 66 | %io_writejmrui.m
%Jamie Near, McGill University 2014.
%
% USAGE:
% RF=io_writejmrui(in,outfile);
%
% DESCRIPTION:
% Takes MRS data in matlab structure format and writes it to a text file
% that can be read by jMRUI.
%
% INPUTS:
% in = input data in matlab structure format.
% outfile = Desired filename of o... |
435a034c9aa4b21cac238927bfebdfbafd4585cb5adecdf6a5bb0c1e8e713d0a | MATLAB | 1,856 | 50 |
% This function calculates the principal angles between two subspaces
%
% Inputs:
% A - A matrix whose columns form an orthonormal basis for the first subspace.
% B - A matrix whose columns form an orthonormal basis for the second subspace.
% (Note: Inputs are assumed to be orthonormal. If not, consider usin... |
6e9f556c469484b50aee3168531f3a5626d360b7ae88084d42dae4efbc5b6e75 | MATLAB | 1,856 | 51 | function [INP_mops,INP_ops] = TS_GiveMeInputFiles(whatFeatureSet)
% TS_GiveMeInputFiles Gives a set of input files corresponding to a named feature set
%
%---INPUT:
% whatFeatureSet: The name of a feature set.
%
%---OUTPUTS:
% INP_mops: the filename for a master operations input file.
% INP_ops: the filename for an op... |
760ebf660c9ef189cc8d59a973395e6b3c65a6c20b702174162d99dbc19669e7 | MATLAB | 1,856 | 62 | % # (JM) MODIFIED FROM ORIGINAL FUNCTION 'EstimateBaselineNoise'
function [deltaFoF, mu, sigma, params]=EstimateBaselineNoise(deltaFoF, params)
% # ansMethod = questdlg('Choose method for estimation of noise in baseline fluorescence', 'Select method', 'Gaussian model', 'Standard deviation', 'Gaussian model');
ansMeth... |
b20033ab766fbb628165daa2bff5104a2ae9370308ca1d50fdf1ffeff8ba4d32 | MATLAB | 1,856 | 46 | %paired comparisons ttest
clear all
load('/Volumes/IqraMacFmri/visTac/fMRI_analysis/outputs/derivatives/mvpaStats_pseudo/statsPseudo_anat_HDPT_HUPT_vs_HDFW_HUFW_beta_202404182045.mat')
anatSubAccu=mvpaStats.subAccu ;
roiList=mvpaStats.roiList
load('/Volumes/IqraMacFmri/visTac/fMRI_analysis/outputs/derivatives/mvpaS... |
3e8f513e77998e58a77c044413e5183173d65adcd0b376edfd0f1098e2ca54b8 | MATLAB | 1,857 | 62 | classdef CmdProgress < handle
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% CmdProgress writes progress of a process on the command window.
%
% Attributes:
% base_msg: Message to be shown on the command window.
% total_iter: Total number of iterations.
%
%... |
2399aa5be11a11a5948a0d4849bfb067a2cb75117e0e37b1b061babbda920f01 | MATLAB | 1,858 | 62 | % FORMATTING
clear all
close gcf
global warpFactorLevel vigilance bias learningRate maxNumCategories maxNumIterations sampleInterval resample
load Default.mat;
warpFactorLevel = 3; % Set to 3 by default
addpath(pwd);
% GENERATE FIGURE
h0 = figure('Units','normalized', ...
'CloseRequestFcn','callback1', ...
... |
d2943d932445302de14592c6d7356cd6f5dbf9fcddd567f966eff299513570ce | MATLAB | 1,858 | 52 | % (C) Copyright 2020 CPP visual motion localizer developpers
function varargout = preTrialSetup(varargin)
% varargout = postInitializatinSetup(varargin)
% generic function to prepare some structure before each trial
[cfg, iBlock, iEvent] = deal(varargin{:});
% set direction, speed of that event and ... |
283c6e1e25b8b45aec03af6d6f96673d8e954facb6adc2e1021fde5fcc09283a | MATLAB | 1,860 | 51 | function [varargout] = modelFitScore(Mdl,trainTestData,metrics)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% modelFitScore fits model on train data, test model performance on test
% data and return its performance score.
%
% Arguments:
% Mdl = Structure of model where function handle... |
6a2cb3ae706e70372aa23201c91fc73b4ff57b981068118a7fa0cd68bcd13238 | MATLAB | 1,861 | 65 | %Encuentra los picos que pertenecen a cada estado tambien las celulas que
%pertenecen a cada estado
%[Pk_edos,Cells_edos]=Pkedos(C_edos,Rasterbin) LC
%C_edos=result.data.f de KmedoikcallLC
%Cada columna es un estado diferente y cada elemento es el pico que
%pertenece a ese estado
% 1 2 7
% 4 3 9
% 6 5... |
35592108205a71b1ae73786efcca697ef5efcee6a10a2ba9019d804f3df8cc17 | MATLAB | 1,863 | 58 | % op_ppmref.m
% Jamie Near, McGill University 2015.
%
% USAGE:
% [out,frqshift]=op_ppmref(in,ppmmin,ppmmax,ppmrefval,dimNum);
%
% DESCRIPTION:
% Search for the peak located between ppmmin and ppmmax, and then give that
% peak a new ppm reference value.
%
% INPUTS:
% in = input data in matlab structure format.... |
9bb371fc822df6abf75416809d94dd1bb50fd2244c9bb37b4e481303e993ad67 | MATLAB | 1,863 | 59 | function herr = plot2BarsWithDots(plotdat,colormat,plot_sig,plot_sig_diff,plot_exact,plot_dots_on_top,xshift)
if nargin<7
xshift = 0;
end
if nargin<6
plot_dots_on_top = true;
end
if nargin<5
plot_exact=true;
end
if nargin<4
plot_sig_diff=true;
end
if n... |
78af55343085ab39617630db08ca5fc5703770b3168ef8ee8c01b2a9dbb9e6f9 | MATLAB | 1,864 | 57 | function [myelin,C1,C2,C3,tau] = Setup_Agents(myelin,borders,sizing)
tau = 20; % minutes, timestep duration
mins_per_day = 1440;
%% CELL 1
C1.init = 5;
C1.deathrate = 0.35/(mins_per_day/tau);
C1.age = zeros(1,C1.init);
C1.x = zeros(1,C1.init);
C1.y = zeros(1,C1.init);
for ii = 1:C1.init
C1.x(ii) = randi([... |
1cef30a1729940a7e8af76af974643aa69814e0f424e83804a4b44b7735bb4fd | MATLAB | 1,865 | 57 | %% Example code for ensemble detection from raster
%1.- Creating synthetic raster
N=100;
T=10000;
fr=0.2;
nens = 6;
ntimesperens = [0.1 0.1 0.1 0.1 0.1 0.1]; % probability of each ensemble
ncellsperens = [10 15 20 25 30 35]; % cells per ensemble
[ensmat_in,enscells_in,raster,frates] = MakeEnsembles_fix_rate(N,fr,T,nen... |
1f1dd0819a2a2a99216419a3ffebb7c78ab521fbe4e35ee125e5488c8d986b09 | MATLAB | 1,867 | 69 | function keep(varargin);
%KEEP keeps the caller workspace variables of your choice and clear the rest.
% Its usage is just like "clear" but only for variables.
%
% Xiaoning (David) Yang xyang@lanl.gov 1998
% Revision based on comments from Michael McPartland,
% michael@gaitalf.mgh.harvard.edu,... |
9dca3796deaa57dca64ca91d29ab034b74971d304498413927c76fc2b33d15bc | MATLAB | 1,867 | 61 | %% h = sepia_handle_panel_bkgRemoval_VSHARPSTI(hParent,h,position)
%
% Input
% --------------
% hParent : parent handle of this panel
% h : global structure contains all handles
% position : position of this panel
%
% Output
% --------------
% h : global structure contains all new and... |
12ae91b40525e1b13c55e94729e818b6907f80783ac80bb389e9b9b0e70e0395 | MATLAB | 1,868 | 59 | %% [RDF] = Wrapper_BFR_PDF(totalField,mask,matrixSize,voxelSize,algorParam, headerAndExtraData)
%
% Input
% --------------
% totalField : total field map (background + tissue fields), in Hz
% mask : signal mask
% matrixSize : size of the input image
% voxelSize : spatial resolution of each dimension ... |
c30241ef56b0551f98eafd57d09f645485f0389ab92eed28a42db1e8fb5812af | MATLAB | 1,868 | 54 | function [x, cost, info, options] = manoptsolve(problem, x0, options)
% Gateway helper function to call a Manopt solver, chosen in the options.
%
% function [x, cost, info, options] = manoptsolve(problem)
% function [x, cost, info, options] = manoptsolve(problem, x0)
% function [x, cost, info, options] = manoptsolve(pr... |
a53000886f3262d9812d02e8ea50ac2b5bba9c0de9514d499eac8701d7338cea | MATLAB | 1,869 | 54 | % [totalField, N_std, headerAndExtraData] = Wrapper_EchoCombine_MEDInonlinearfit_bipolar(fieldMap,mask,matrixSize,voxelSize,algorParam,headerAndExtraData)
%
% Input
% --------------
% fieldMap : original single-/multi-echo wrapped phase image, in rad
% mask : signal mask
% matrixSize : size of the inpu... |
03b37d29e988602e2b8228591e9cf85e19d85e8d0878bb1f24dc665de706ef84 | MATLAB | 1,870 | 59 | function herr = plotBarsWithDots(plotdat,colormat,plot_sig,plot_sig_diff,plot_exact,maxdat,maxdat2,showBaseline)
if nargin<8
showBaseline = true;
end
if nargin<7
estim_maxdat2 = true;
else
estim_maxdat2 = false;
end
if nargin<6
estim_maxdat = true;
else
... |
218981d140cfcfe90fd2f26d962bad2a989337abd822da77efd390bea66d0e4a | MATLAB | 1,870 | 49 | % logging_override_disp() - Return the current stack trace as a string
% formatted with the provided format string and
% starting with the preamble
% Usage:
% >> logging_override_disp(display)
%
% Inputs:
% display - true|false if you want to override disp functi... |
8b491c825537b9c06c33c0aa3210ed279f4427d91bc36e3262d2cb82000c062d | MATLAB | 1,870 | 68 | function [chi2, df, p, sig, warn, tab, isnonpar] = Meta_Parcel_chisq(MC_Setup, parcels, parcel_stats)
%
% Documentation here.
%
% [chi2, df, p, sig, warn, tab, isnonpar] = Meta_Parcel_chisq(MC_Setup, parcels, parcel_stats)
%
% First run Meta_Activation_FWE('setup'....) which creates MC_Setup (stored in MC_Info.mat)
%... |
a28f72d856a5649326e426207d511d8fce6a11b501cbf594742c8b157dbf2e46 | MATLAB | 1,870 | 41 | function [slope intercept] = findFlipCorrectionSlopeLR(leftmyelin, rightmyelin, leftFlipFraction, rightFlipFraction)
lowguess = -1;
highguess = 5;
searchratio = 1 - 2 / (sqrt(5) + 1); % 1 - inverse of golden ratio
currange = highguess - lowguess;
points = [lowguess, lowguess + searchratio * currange... |
a4644754a9e1d412782d376634f0bfcacf18cc2bfe29cfced2548f474c755e70 | MATLAB | 1,870 | 50 | function data = transientrates2(data,moving)
% Define the rate of Calcium signals for all cells in all categories of a
% dataset. Store the average rate for each category. Also stores the
% the acquisition rate with each trace in the metadata.
% TODO=Swap this step to the dataset conversion routine.
if nargin... |
259dbb6904e484033538383ac05281aece830befa248aa700c7b525efdc4450e | MATLAB | 1,872 | 46 | %% =============================
% PALM Analysis: Re-Extinction CS
% =============================
% --- Locate repo root (relative to this script)
thisfile = mfilename('fullpath');
[scriptdir, ~, ~] = fileparts(thisfile);
cd(scriptdir); % Ensure consistent working dir
% Navigate up to FEARTUS root
% palm_code -> p... |
5684ff5df94e3944ad2570b2157db84ee136b5db5eb2734ec949eb78f291bcc4 | MATLAB | 1,872 | 46 | %% =============================
% PALM Analysis: Re-Extinction CS
% =============================
% --- Locate repo root (relative to this script)
thisfile = mfilename('fullpath');
[scriptdir, ~, ~] = fileparts(thisfile);
cd(scriptdir); % Ensure consistent working dir
% Navigate up to FEARTUS root
% palm_code -> p... |
6426053b1ca88d7e526e161588622bd20b22b4c4d69d4da68ddc47cdbcb514a8 | MATLAB | 1,872 | 59 | function sim_default()
% Minimal, no-input driver: generate V1 inputs and run 3 simulations.
% --- Paths
thisFile = mfilename('fullpath');
repoRoot = fileparts(fileparts(thisFile));
dataDir = fullfile(repoRoot, 'data');
utilsDir = fullfile(repoRoot, 'src', 'utils');
addpath(utilsDir);
% --- Config
simulation_type = ... |
14e463ec43225208338b4dad1e7a78043c8758e3d649400c9908e8a70952bc28 | MATLAB | 1,874 | 58 | function this = remove_dims(this, iDim)
% Removes information of dimension(s) specified (by names or index)
%
% Y = MrDimInfo()
% Y.remove_dims(inputs)
%
% This is a method of class MrDimInfo.
% Use cases are the selection of single values from one dimensions to loose
% all information on the specifie ddimension
%
... |
2a8c07177cd49199278999c113cf8808d95411e9e133570e614f2a212e3d1151 | MATLAB | 1,875 | 61 | function [options, param_changes] = parse_simulation_inputs(varargin)
% PARSE_SIMULATION_INPUTS - Parse and validate input arguments
%
% H1 Line: Parse optional inputs for simulation configuration
%
% Syntax:
% [options, param_changes] = parse_simulation_inputs()
% [options, param_changes] = parse_simulation_inputs... |
6e7e3c312069b79b79af83a899da298646d0cc7d87ab07af6c40658ce1d993ed | MATLAB | 1,875 | 70 | function [C1] = Renew_Cell_1(C1, nn, tau, relapse_schedule)
% RENEW_CELL_1
%
% Introduces new C1 cells (T cells) in the peripheral blood according to
% specified relapse schedules.
%
% INPUTS:
% C1 - structure containing current C1 cells (x, y, age)
% nn - current timestep
% tau ... |
70b7b044a290ce11569e5997ce8bf9cff9e33fd3a5b066ff5d1a5f78c27ce8da | MATLAB | 1,875 | 55 | function [logp, yhat, res] = tapas_rs_belief(r, infStates, ptrans)
% Calculates the log-probability of response speed y (in units of ms^-1) according to the belief
% model introduced in:
%
% Vossel, S.*, Mathys, C.*, Daunizeau, J., Bauer, M., Driver, J., Friston, K. J., and Stephan, K. E.
% (2013). Spatial Attention, P... |
cd288a62f1af833285d729689100495c53504415e11eafa1540fb665640f33b1 | MATLAB | 1,875 | 56 | % logging_ffileline() - return a string containing the file and line
% Usage:
% >> output = logging_ffileline(formatstr, unroll)
%
% Inputs:
% formatstr - format string containing string and line number
% unroll - number of levels of recursion to unroll
%
% Outputs:
% output - formatted string to return
%... |
0d1af542927c17fe7471013b1f1e6904f928396ac16238263eedcd4f0036f87f | MATLAB | 1,877 | 88 |
% load it...
EEG = pop_loadset('filename','example_set.set','filepath','/data1/Dropbox/Dropbox/Prog/GitWork/CWRegr/eeglab13_1_1b/plugins/CWRegrTool/example_dataset/');
% do an actual CW regression...
EEG = pop_cwregression(EEG, 500, 4.000000, 0.050000, 4, 'hann', [33 34 35 36 37 38 39 40], [1 2 3 4 5 6 7 8 9 10 11 12... |
91a5d5ea0ccf54c262ae5d10f982f715ff1387e0c3d7bd2ec9c3b6c9d35dcacc | MATLAB | 1,877 | 72 | function plot_fig2d(datadir)
% Plot average event-aligned dopamine release during mixed blocks for
% different reward offers. Signals are z-scored and baseline corrected
% before pooling across rats (N = 10).
%
% INPUTS
% datadir: file path of data downloaded from Zenodo. Link to download can
% be found in README.
bas... |
cec94348851cb153a139196c280db924c4572bd0052c4843fb327b86cb1b4d54 | MATLAB | 1,877 | 81 | function result=kmeans(data,param);
%checking the parameters given
%if exist('param.c') == 1, c = param.c;else error('Nincs megadva a c, es ez baj...');end;
%if exist('param.vis')~=1, param.vis=0;end;
%data normalization
data=clust_normalize(data,'range');
X=data.X;
[N,n]=size(X);
%initialization
if max(size(param... |
2611522d2025977e556bb022731e8730f9d74413ca3ecde1b784a984dd0cb937 | MATLAB | 1,878 | 67 | function c = tapas_logrt_linear_binary_minimal_config
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Contains the configuration for the linear log-reaction time response model
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
5412b49371d237eb7e531264b92736746548b7300e5362a08a8737407755dfb9 | MATLAB | 1,878 | 72 | function [cost, info, x, A] = test02(n)
% function [cost, x, A] = test02(n)
% All intputs are optional.
%
% Typical call: [cost, x, A] = test2(1000);
% Perhaps the simplest test code: computes the dominant eigenvector of an
% n-by-n matrix.
%
% This file is part of Manopt: www.manopt.org.
% Original author: Nicolas Bo... |
6758486c6de4551b0060366e551027601d9608485f0a16c29bc4e1cea8841900 | MATLAB | 1,878 | 63 | function h=pageFigure(figI,paperSizeORheightToWidth,proportionOfScreenArea,horPos0123,landscapeFig)
% creates a page figure with figure with specific properties.
% h=pageFigure([figI,paperSizeORheightToWidth,proportionOfScreenArea,horPos1234]);
%__________________________________________________________________________... |
6f189420fce0e0681935562717917669d56259650b347884dbd76c04a1f3edef | MATLAB | 1,878 | 53 | %{
pre.Trace (imported) # calcium trace
-> pre.ExtractTraces
-> pre.SegmentMask
---
ca_trace : longblob # raw calcium trace
%}
classdef Trace < dj.Relvar
methods
function plot(self)
for key = fetch(pre.Segment & self)'
X = fe... |
b913d60019d8841b6fd9e18ad4fe80e49ca6140031b261d34429d27622760779 | MATLAB | 1,878 | 47 | % SUM - sum of memory mapped underlying array
%
% Author: Arnaud Delorme, SCCN, INC, UCSD, Nov. 2008
% Copyright (C) 2008 Arnaud Delorme, SCCN, INC, UCSD
%
% This file is part of EEGLAB, see http://www.eeglab.org
% for the documentation and details.
%
% Redistribution and use in source and binary forms, with or withou... |
c3427c46fe3035b407100d5094c4c246ede0c43027168e1aac6b285c67662369 | MATLAB | 1,878 | 79 |
% Tools for finding your way around a layout.
%
% (a) Recreate the complex layout from demopanel1
% (b) Show three tools that help to navigate a layout
%% (a)
% create panel
p = panel('defer');
% layout a variety of sub-panels
p.pack('h', [1/3 -1])
p(1).pack([2/3 -1]);
p(1,1).pack(3, 2);
p(2).pack(6, 2);
pause(3... |
e03f2c55c578f24932a094c2509ef02a27dbea3bc604b3226831bbba35b499eb | MATLAB | 1,878 | 54 | %% JPKforce_batch_processing.m 14/08/2020 Julia Becker
% This script makes the conversion of .jpk-force files into .txt files more
% efficient if data in many different subfolders need to be converted. Move
% all experimental folders you want to convert into one folder. Use a
% search to find all "*.jp... |
7540ca00f1e39b773551e16ed3402160fdda69d1104516ce2a08b801f01439fc | MATLAB | 1,879 | 83 | function [maxprop,uncor_prop,maxcsize] = meta_stochastic_activation(MC_Setup)
% MC_Setup = meta_stochastic_activation(DB)
%
% This function randomizes n locations for each study within analysis mask
% and computes null-hypothesis weighted proportion of activated studies
% (contrasts)
% for whole-brain FWE corrected Mon... |
ccd0eb57f5f4ccf667d8de642ce745ec5b86f25bc15956b2db55606878e7eef1 | MATLAB | 1,879 | 63 | function obj = loadobj(s)
% LOADOBJ Initialize a DagNN object from a structure.
% OBJ = LOADOBJ(S) initializes a DagNN objet from the structure
% S. It is the opposite of S = OBJ.SAVEOBJ().
% If S is a string, initializes the DagNN object with data
% from a mat-file S. Otherwise, if S is an instance of `dagnn.... |
64f586ef94525c00cc696450cfb656fb356a0da6d6837fcf8dec4779bcef9a8a | MATLAB | 1,880 | 42 | function [ensmat_in_sort, enscells_in_sort, ens_id] = sort_by_equivalence_rh(ensmat_gt,ensmat_est,enscells_est,metric)
% Sort ensembles detected by its equivalences with generated ensembles sequences.
% INPUT:
% ensmat_gt: <logical> nens_1-by-T matrix with the activity of each generated ensemble.
% ensmat_est: <log... |
ecb7c71d47e99c3d0d49f71e9318bdea95beed9973b54de4a29b3bf87c3ac451 | MATLAB | 1,880 | 67 | function arrow3D(pos, deltaValues, colorCode, stemRatio)
% Plots a simple 3D arrow via a cylinder and a cone
X = pos(1);
Y = pos(2);
Z = pos(3);
% Get polar coordinates
[sphi, stheta, srho] = cart2sph(deltaValues(1), deltaValues(2), deltaValues(3));
% Create stem as cylinder
cylinderRadius = 0.05*srho;
cylinderLength... |
0d0630988dd72f79e7ee4bf8a34a6fd709445dd56f3dec30337ffab1327216d9 | MATLAB | 1,881 | 64 | function this = MrDataNd_permute(this)
% Unit test for MrDataNd.permute()
%
% Y = MrUnitTest()
% run(Y, 'MrDataNd_permute')
%
% This is a method of class MrUnitTest.
%
% IN
%
% OUT
%
% EXAMPLE
% MrDataNd_permute
%
% See also MrUnitTest
% Author: Saskia Bollmann & Lars Kasper
% Created: 2018-08-28
% Copyrigh... |
3c4935ce70b8aed9bb8242a4ec103870d0b1389fa5fd25fef806fd2846069649 | MATLAB | 1,881 | 59 | function [count,cycles] = CountSpikesPerCycle(spikes,phases)
%CountSpikesPerCycle - Count number of spikes per LFP cycle.
%
% Count the number of spikes per cycle in the ongoing oscillatory LFP
% (e.g. during theta).
%
% USAGE
%
% [count,cycles] = CountSpikesPerCycle(spikes,phases)
%
% spikes list of sp... |
a8a00eaee8177f0685aa9b02e77bf3dc67696216f758b49cc6abde81ae01712f | MATLAB | 1,882 | 50 | function [D, fX] = dfunm(funm, X, H)
% Fréchet derivative of matrix functions.
%
% function [D, fX] = dfunm(funm, X, H)
%
% Computes the directional derivative (the Fréchet derivative) of a matrix
% function (such as @logm, @expm, ...) at X along H (square matrices),
% according to a very nice trick which appears in th... |
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