sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
2b0c3c950e6af9cfea080cc6d103ca6061908696e4c55d2515bd1f33b1c37b68 | MATLAB | 3,726 | 91 |
% Written by: Adam Wright
% Last modified: 20241008
% This is the main script to run the data-driven segmentation of the major
% cerebral arteries and the SSS.
% Make sure that all the functions in the package are all added to your
% matlab path. Including:
% freesurfer from: https://github.com/freesurfer/freesurfer... |
637cd7996f9009cffcbc510931575a612b0fbba5ab4a043b1dd359679c197759 | MATLAB | 3,726 | 77 | %% Description
% In this example, we show that MCmatlab can launch excitation photons from
% a user-specified spatial and spectral distribution of sources, similar to
% how fluorescence photons are launched. The distribution may be wavelength
% dependent. It is stored in model.MC.sourceDistribution and must be 3- or
% ... |
c1a51d8c3552b9a737ba5cda59dd3e75169dcbf928eec1ab7508df7cd6ab4ff2 | MATLAB | 3,727 | 146 | function [xmax,imax,xmin,imin] = extrema(x)
%EXTREMA Gets the global extrema points from a time series.
% [XMAX,IMAX,XMIN,IMIN] = EXTREMA(X) returns the global minima and maxima
% points of the vector X ignoring NaN's, where
% XMAX - maxima points in descending order
% IMAX - indexes of the XMAX
% ... |
cfa6bb4336da14b3be24de8f25c4d473b0081f7a7702bbdec36faa1addb893d5 | MATLAB | 3,727 | 117 | function mappedX = gda(X, Y, no_dims, varargin)
%GDA Perform Generalized Discriminant Analysis
%
% mappedX = gda(X, Y, no_dims)
% mappedX = gda(X, Y, no_dims, kernel)
% mappedX = gda(X, Y, no_dims, kernel, param1)
% mappedX = gda(X, Y, no_dims, kernel, param1, param2)
%
% Perform Generalized Discriminant Analys... |
9b97064fc7d505e646b76905dc9335bfda1600fdcf80903f934c0d2294520298 | MATLAB | 3,729 | 118 | % read_eeglabevent() - import EEGLAB dataset events
%
% Usage:
% >> event = read_eeglabevent(filename, ...);
%
% Inputs:
% filename - [string] file name
%
% Optional inputs:
% 'header' - FILEIO structure header
%
% Outputs:
% event - FILEIO toolbox event structure
%
% Author: Arnaud Delorme, SCCN, INC, ... |
25b4f7d149818489599bcac5da43583ac214cb9a88a141ec36bb15767832efd1 | MATLAB | 3,730 | 115 | function tag = TagCheck(laserResponse, varargin)
altIsi = [];
sampPerSec = 500;
responseWin = 10; % milliseconds
makePlot = false;
ctrlIsi = [];
fig = [];
for i = 1:2:length(varargin)
switch lower(varargin{i})
case 'isi'
altIsi = varargin{i+1};
case 'responsewin'
responseWi... |
2b57cde96f0e6a5d595aef3f98412f45aa87c0b1e16833a324a60400c22a4148 | MATLAB | 3,730 | 100 | function plot_paths_for_dataset(dataset_path, save_path, varargin)
%PLOT_PATHS_FOR_DATASET Generate and save behavioral path plots for each session.
%
% plot_paths_for_dataset(df_path, save_path, exclude_task_string) loads session
% metadata from the given df_path, filters out sessions containing the specified
% ... |
3157c1c420d7db7791baa429a5b4af04b056a44c0510439ae8a7f9703b8a65bf | MATLAB | 3,730 | 101 | function [phaseamplitudemap,ampfreqs,phasecenters] = bz_PhaseAmplitudeDist(lfp,phaserange,amprange)
% [phaseamplitudemap,ampfreqs,phasecenters] = bz_PhaseAmplitudeDist(lfp,phaserange,amprange)
%This function calculates the mean amplitude of higher frequency bands at
%a the phase for a given lower frequency band signal
... |
fd4c949cb53aa6e1976d33f67a5cf89cc169f93ad317e3b6f211991913ecd32e | MATLAB | 3,731 | 132 | function good_idx = manual_trackerjumps(ts,x,y,StartofRec,EndofRec,basepath,varargin)
% manual_trackerjumps: Allows you to manually cut out xy coordinates that
% are outside the bounds of your maze. These can be caused by unplugs or
% if the rat jumps out. If you do not remove these points, your ratemap
% will be messe... |
8c1623c68d489cc955c9cd3f43d9e6bff3a28c9a7e4fec09435da64360d359f6 | MATLAB | 3,732 | 114 | % AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
%
function [ uma... |
ca8d4cca746cb17da1285a8b6d890471c0c3f86251d6341e4ca78a5eaa7e70f1 | MATLAB | 3,732 | 122 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function esg_prepro_loop5(subject, condition, srmr_nr)
%% set variables
subject_id = sprintf('sub-%03i', subject);
analysis_path = [getenv('ANADIR') subject_id '/esg/prepro/'];
cfg_path = getenv('CFGDIR');
% get condition info
[cond_info] = get_conditionInfo(condition, ... |
111a4b475d39081b78a586288318382d39b6ba0251e8b8c127fd9ef006447ab4 | MATLAB | 3,733 | 65 | function [PC, integralpd] = meshneighborints_Pn(P, t, normals, Area, Center, RnumberP, ineighborP, Indicator, numThreads)
% Accurate integration for electric potential on neighbor facets
% Done for a selected interface only ("Indicator" variable is used)
% Copyright SNM 2018-2022
N = size(t... |
41e7f3fe24c48512638f3569a084392d5e407fa77aa4a34854a837a0ef6e11c3 | MATLAB | 3,733 | 1 | function [ SUCCESS , ExperimentID, SubjectID, Phase, Box, MatlabStartDate, Duration, TSdata, Notes, Weight, Program, FileReportedUnits ] = TSloadstdcsv ( filename )
%
% Assumptions:
% File is tab delimited
% Dlm file forms a 2 column matrix
% First 12 rows are various session fields with indicator numbers on the ... |
4ba94bcabf9bd66b45f85e2c2c078418e09d51fc75b06f17569c0803f0931b6e | MATLAB | 3,735 | 110 | % FADE-SAME: Table S3
% clear
% clc
%%% Step 1: load data %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% set subjects file
subj_file = 'subjects/subjects.xls';
str_cohs = {'young', 'older', 'middle-aged', 'replication'};
% load subjects file
[num, txt, raw] = xlsread(subj_file);
clear num txt
tab_hdr = ... |
c743847877bded394750ff72d87a7d1a2e58d8d6881424c5fae987eb916d39a3 | MATLAB | 3,735 | 91 | % MATLAB code provided by Seyed Mohammad Ali Rahmati
% Affiliation: Biomechanics and Motor Control Lab, Department of Biological Sciences, Georgia Institute of Technology, Atlanta, GA.
%
% Description:
% This M-file calculates the maximum musculotendon forces and moments
% resulting from maximum activation during loco... |
a53733c07d556e84b502ee099f691fe9f65fef0112dc8edc06e4620beb8abefd | MATLAB | 3,736 | 133 | % This script visualized the quality of the transcripts and creates a mask
% that can be applied to puncta to remove registration+experimentnal
% errors in the base calling
%% Load all necessary data
%load the flags_vector mat file
load('slice.mat');
%Load transcript files that contain pos, transcripts,
%transcri... |
24b4149ceb1008cac22fbd1db5b1be6cea9b8df9dcfb6c9535c0045e139861cc | MATLAB | 3,737 | 132 | % [mu,idx,mu_idx,Dall,mindists] = furthestfirst(x,k,p1,v1,...)
%
% x: N x D matrix of data to be clustered. N is the number of data
% points, D is the number of dimensions
% k: number of centers
% Optional PVs:
% - Start. Either [1xD], 'mean' (default), or empty. first center. If
% empty, a random point is used ... |
64c606afe117ff5da81d2fea26ee5ad17a0aba8a770738e8b285f570eb58c749 | MATLAB | 3,737 | 101 | function Aout = h_generateLineProfile3(handles)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
% state = currentStruct.state;
data = currentStruct.image.data;
if isfield(currentStruct, 'lastAnalysis') && isfield(currentStruct.lastAnalysis, 'tracingData')
tracingDat... |
8b28564937c09c4fc9642212f9bf32ffe3832ca62067f69f954df3ce2e5c749a | MATLAB | 3,737 | 94 | function segmentation = fixsegmentation(segmentation, fn, style)
% FIXSEGMENTATION is a helper function that ensures the segmentation to be internally
% consistent. It is used by FT_DATATYPE_SEGMENTATION and FT_DATATYPE_PARCELLATION.
%
% % See also CONVERT_SEGMENTATIONSTYLE, DETERMINE_SEGMENTATIONSTYLE
switch style
... |
da1f25a78f535869a5b83ecaaed9c7155a10e433b1bf22ad756482f37937137f | MATLAB | 3,737 | 121 | % function [im_post_pystripe] = pystripe(input_img,sigma_background,sigma_foreground,threshold)
%
% p = inputParser;
% addOptional(p,'sigma_background',1024);
% addOptional(p,'sigma_foreground',128);
% addOptional(p,'threshold',-1);
% addOptional(p,'crossover',10);
% addOptional(p,'wavelet','db5');
% addOptiona... |
ddb35ed569c28601e258a1f4ea7189016d20818d51d364df2f6482416e067785 | MATLAB | 3,737 | 87 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% step1_charge_engine.m %%%
%%% Perform the forward field computation for the selected dipole %%%
%%% Please make sure that the patient, model, and dipole are loaded %%%
%%%%%%%%%%%%%%%%... |
de726df16d22e052527399d6cf0b9f40551e34f83709cc1ea9b14b0167c83fdf | MATLAB | 3,737 | 124 | %% plot_px_v_x_waterfall
%
% Accessory plotter used to help visualize the mapping between an prespike
% and postspike distribution, using average p(x|x,s). Here, visualized as a
% ribbon plot/waterfall
%
% This function could be applied to observed or predicted distributions;
% all which is requried is p(x|(s-d... |
1d1489a310151e40b1934f1631dd0ea91f316b975b55e7be25687080d3b09089 | MATLAB | 3,740 | 116 | function stats = compute_stats(res, args, resdir)
% STATS get stats from the Mapper Graph
%
% :param res: the results from running Mapper
% :type res: Mapper struct
%
% :param args: extra details to help create the stats
% :type args: struct
%
% :param resdir: where to save the resulting plots and matrices
% :type resd... |
fd36b4f12112dbd86e406875fa9e0aab600131a86175546f2f932d11a6ebdb4f | MATLAB | 3,741 | 94 |
% Fix possible splitting of responses between two consecutive frames
% Version 2 - accumulate everything from one frame to the next
function ImageArray_2 = FixSplitting3(ImageArray)
ImageArray_2 = zeros(size(ImageArray));
FirstIndex = 1;
LastIndex = size(ImageArray,3);
First... |
02f5919a97fe2447412488494a5e03553aedf6e32f4a7f8adc5ab929426e4b77 | MATLAB | 3,743 | 99 | function vargout=subplot_tight(m, n, p, margins, varargin)
%% subplot_tight
% A subplot function substitude with margins user tunabble parameter.
%
%% Syntax
% h=subplot_tight(m, n, p);
% h=subplot_tight(m, n, p, margins);
% h=subplot_tight(m, n, p, margins, subplotArgs...);
%
%% Description
% Our goal is ... |
3c79f22c02974fdfae56cd13c3be84ac1f8b1ef92413e721ef4b6cff67914f29 | MATLAB | 3,743 | 108 | function varargout = DPARSF_ChooseGUI(varargin)
% DPARSF_CHOOSEGUI MATLAB code for DPARSF_ChooseGUI.fig
% DPARSF_CHOOSEGUI, by itself, creates a new DPARSF_CHOOSEGUI or raises the existing
% singleton*.
%
% H = DPARSF_CHOOSEGUI returns the handle to a new DPARSF_CHOOSEGUI or the handle to
% the exis... |
a29989ffb9f68d8a1dca9df875ccd0bc97b6c84dc88e1c917c93f6eec3fe4dd8 | MATLAB | 3,743 | 116 |
% Calculating Correspondences
% This is the code that calculates the keypoints and descriptors at
% varying scale levels
%
% INPUTS:
% moving_run: which expeirment do you want to warp accordingly?
% OUTPUTS:
% no variables. All outputs saved to params.registeredImagesDir
%
% Author: Daniel Goodwin dgoodwin208@gmail.co... |
50c3150234502bb12e3dd3c3fc089fe750fe5a9496f636540b9f5f0943bfc6d3 | MATLAB | 3,744 | 80 | function h_pasteROI3(handles)
global h_img3;
roiobj = findobj(handles.imageAxes,'Tag','ROI3');
annotationROIObj = findobj(handles.imageAxes, 'tag', 'annotationROI3');
bgroiobj = findobj(handles.imageAxes,'Tag','BGROI3');
h = vertcat(roiobj, annotationROIObj, bgroiobj);
textHandles = zeros(1, length(h));
fo... |
e44e4fb93bf0ef4dad1afabcc4f4f30f3ddd33112825e5f5ab64a685a9369146 | MATLAB | 3,745 | 109 | function [fx] = f_metaToM(x,P,u,inF)
% evolution function for meta-learning (k-ToM vs sequence)
% function [fx] = f_metaToM(x,P,u,inF)
% This function update the belief of an agent who has to identify whether
% he faces an intentional agent (k-ToM) or an inanimate patter (sequence).
% Learning here derives from VB-Lapl... |
5c1f9713fcc7f5453b658d89275775f1d0c51a522a510240cc553c39d469e3e4 | MATLAB | 3,746 | 104 | function dspaceApp = start(varargin)
% START Starts an instance of the Dataspace GUI. Use this to start
% Dataspace. Can also be used to add all paths required to the MATLAB search
% path.
%
% It is recommended to use the function dspace() instead. It allows for
% more flexible data imp... |
9ddfce32fc087fd89b2285f41217fe39eea7b597c8bfb9502512230dabe6f27d | MATLAB | 3,746 | 131 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function [cond_info] = get_conditionInfo(condition, srmr_nr)
%% return info of the different conditions
if srmr_nr == 1
% conditions:
% 1 = rest,
% 2 = median stimulation,
% 3 = tibial stimulation,
% 4 = alternating median and tibial stimulation
s... |
2f80fd4a468c454d864ec13edd830edea11ede7d74a8da953c0630ca47219352 | MATLAB | 3,747 | 74 | if ~exist('save_name'),
save_name = 'Calib_Results';
end;
fprintf(1,'Generating the matlab script file %s.m containing the intrinsic and extrinsic parameters...\n',save_name)
fid = fopen([ save_name '.m'],'wt');
fprintf(fid,'%% Intrinsic and Extrinsic Camera Parameters\n');
fprintf(fid,'%%\n');
fprintf(fid,'%% ... |
c59fdf7c13dda357c13f9f7aa2ff52898af353230fe75a3e7e288a45097c1cca | MATLAB | 3,747 | 156 | clear;close all;clc;
%pkg load image
%foldername='new_data_10_30_lin';
foldername='new_data_10_300_lin';
mainfolder=cd(foldername);
% Read vascular structure
Iv=imread('vessels.png');
Iv=rgb2gray(Iv);
mask=Iv>250;
% Read leakage source
I0=imread('source.png');
I0=rgb2gray(I0);
cd(mainfolder);
% ima... |
d32a78e7ff29fb67bc2e5e8254ad73fbd89a179341bb0c3c987fc5ec12ccb87e | MATLAB | 3,747 | 108 | function [EEGdec]=decoding_time(subject)
% EEG decoding of Braille letters within-hand and across-hand
% Marleen Haupt and Monika Graumann
% 22.02.2024
% Input:
% subject: string, e.g. '02'
% start timer
tic
% paths
addpath(genpath('../code/'));
addpath(genpath('../toolboxes/libsvm'));
% load timepoints in data t... |
0eeca6b6818ddb863c0238be9b28a600b5bcdeabc8972e79f433578254caea45 | MATLAB | 3,749 | 84 | function params = CBIG_AuthorTopic_InitializeParams(params, alpha, eta)
% params = CBIG_AuthorTopic_InitializeParams(params, alpha, eta)
%
% Initialize the parameters of the Collapsed Variational Bayes (CVB)
% algorithm for the author-topic model
%
% Input:
% - params : struct containing parameters of the author-t... |
a2a604601c5f13b4c08724c32a47c1156b4e411cf080889f686f2ef50f0c9567 | MATLAB | 3,750 | 89 | function [ panelfcn, figureId ] = bda_figure( name, design, aspectratioYoverX, widthOnPaper,...
figureId, horizontalSpacing, verticalSpacing)
% BDA_FIGURE Funtion to simplify the creation of multi-panel figures.
%
%
% ---
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
... |
5f19e2735d69a5eb9e54b1fc319179d93038db49f446422d3285dffc8f897360 | MATLAB | 3,753 | 89 | function [delta,err] = diffTracker( I0, I1, sig, ss )
% Fast, robust estimation of translation/scale change between two images.
%
% Approximates the translational offset between two images by assuming the
% images lie on linear manifold. Specifically, assumes that if I0 and I1
% are a pair of images related by a transl... |
6b88e9fca8d05c9e047171d04f4884f709ddcaaa825b6fabd304c8754c7afe5b | MATLAB | 3,753 | 132 | function [beta,r,J,converge] = h_nlinfit(X,y,model,beta0,tol)
%NLINFIT Nonlinear least-squares data fitting by the Gauss-Newton method.
% NLINFIT(X,Y,FUN,BETA0) estimates the coefficients of a nonlinear
% function using least squares. Y is a vector of response (dependent
% variable) values. Typically, X is ... |
71b97d840de9d1d7cb19e5d23054df347cc5bb83ada5fd44739ce84166e26e6f | MATLAB | 3,753 | 158 | function [posterior,out,simulated] = demo_behaviouralDCM()
%%% ----------------------------------------------------------------------
%%% ----------------------------------------------------------------------
% close all
%-----------------------------------------------------------
%-------------- DCM model specificat... |
dab65dffd158f569d850c740855c2b87cad17319c1631b49e552c20b90c28e87 | MATLAB | 3,753 | 118 | function [U]=h3dpartdirect(zk,nsource,source,ifcharge,charge,ifdipole,dipstr,dipvec,ifpot,iffld,ntarg,targ,ifpottarg,iffldtarg)
%HFMM3DPARTDIRECT Helmholtz interactions in R^3, direct evaluation.
%
% Helmholtz FMM in R^3: evaluate all pairwise particle
% interactions (ignoring self-interactions) and interactions with t... |
50e8d9c7388388f5471618da4a3e67d55032de2c97a83900f97c0662e9edbe10 | MATLAB | 3,755 | 130 | function spkDat = ManualSplit(spkDat, clust, varargin)
signal = 'snle';
timeRange = [0 Inf];
nChan = size(spkDat.waves, 2);
chan = [];
time = 0;
splitThr = 'auto';
bimThr = 0.1;
split = false;
pol = 1;
valRange = [0.005 0.995]; % in quantiles of signal value
nYbins = 100;
tBinWidth = 10; % seconds
tOverlap = 2; % #... |
8b0097cbe6322ad7dc0165000800d28b1eab1092a3840425f9e0bf93b0aed90d | MATLAB | 3,755 | 109 | function [colormap]=cbrewer(ctype, cname, ncol, interp_method)
%
% CBREWER - This function produces a colorbrewer table (rgb data) for a
% given type, name and number of colors of the colorbrewer tables.
% For more information on 'colorbrewer', please visit
% http://colorbrewer2.org/
%
% The tables were generated fr... |
4b6c93abeca417466e28ef50fd55b61bde949dbc5ad4e893948218d03d3cd717 | MATLAB | 3,756 | 110 | loadParameters;
chan_strs = {'ch00','ch01SHIFT','ch02SHIFT','ch03SHIFT'};
for round_num = 1:params.NUM_ROUNDS
for chan_num = 1:params.NUM_CHANNELS
chan_str = chan_strs{chan_num};
filename_in = fullfile(params.punctaSubvolumeDir,sprintf('%s_round%.03i_%s_puncta.tif',params.FILE_BASENAME,round_num,ch... |
648e65a4952e9699461db23be8b20bb27890cc9467d0b67a4f7ef403cb5f9d62 | MATLAB | 3,758 | 117 | %% This file shows how to use 'saveastiff' function.
clearvars;
[~,~,Z] = peaks(100);
Z = single(Z);
Z_index = uint8((Z - min(Z(:))) * (255 / (max(Z(:)) - min(Z(:)))));
Z_color = uint8(ind2rgb(Z_index, hsv(256)*256));
Z_alpha = Z_color; Z_alpha(:,:,4) = repmat(0:1/100:1-1/100, 100, 1)*255;
Z_color_multiframe = reshape... |
e7c2b24b788594ddd91626e64527f5f3e9b5ed57b1ac0fe8d7afdbd549c7830b | MATLAB | 3,758 | 119 | function pos = ApproxMedianFilter_RB_LED(file)
% This code tests an approximate median filter for separating out the red
% and blue leds mounted on top of the subjects head
% I was using the DataMax system, which was synced using a red LED. Hence,
% I am tracking the x,y position of the animal as well as when the sync... |
ec08aa23945b2805346b827b944e5c31509eb835aacfdb3d6c98da54fe21e833 | MATLAB | 3,758 | 103 | function [s,tBalCats,gPartCatsAdd,prtCat2Split] = stratifiedGroupSplit(...
nFold,gBal,gPart,varargin)
% Stratified/Partitioned k-fold splitter
%
% Split data for k-fold xval, trying to balance gBal (approximately equal
% numbers of each gBal value in each split), while fully partitioning
% gPart (each value of gPart... |
86c8852d00c1eaa6c18a5531250d81ce4894b3b56823d5352060a6aad844df2d | MATLAB | 3,759 | 162 | % 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,... |
c4f8d3401a8302044b51801b35c3d63fa3414ab9926c2031a2ced61d8ea53d32 | MATLAB | 3,759 | 187 | function [v,diags,parout]=graddiag(M,para);
% diagonalizes matrices stored in M(:,:,f) for all f
% simplest version:
% Input: M NxNxM tensor with N channels and M matrcies to be
% diagonalized
% para is an optional structure.
% para.nite is the number of iterations (default: 1000)
% p... |
2b40586d257cc747cb7d772a622ee407ac4350c42ff9b2f01d43d94c22a9bb93 | MATLAB | 3,760 | 81 | % DEFINE_BIFF script to define the known BIFF chunk types
%
% This function should not be called seperately, it is intended to
% be used from withing read_biff and write_biff.
%
% See also READ_BIFF, WRITE_BIFF
% Copyright (C) 2000, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbo... |
4bcbe2fd4d50e3755c51aa684f1953f61f91aaca817ce4ccf990a035f44cd950 | MATLAB | 3,760 | 127 | %% (predictSDO) assignPlotterProperties
%
% For use within the SDO Analysis Toolkit.
% Generates the 'plotProp' struct, a structure which contains information
% about -how- to plot different hypotheses on common plots. This allows the
% common plotters to be less strictly defined in -how- they generate plots
% intrinsi... |
73cd3f2682ec5304d9f1606acbac554344f1de18df9d4bf2214bc48ca631ac88 | MATLAB | 3,760 | 94 | function TSorderfields(lvl,NwOrder)
% Syntax TSorderfields(lvl,NwOrder)
% Reorders the fields at the level of the Experiment hierarchy specified by
% lvl (must be either 'Experiment' or 'Subject' or 'Session' or 'Trial').
% NwOrder must be a cell array containing in each cell one field name that
% exactly matches a... |
b03c73e302e51619bd5918052c648d0e11c52ff808e24406657bb3e720d0b1ea | MATLAB | 3,761 | 92 | % JPSTH calculates jpsth for two spike counts aligned around an event
% jpsth.m
%
% Copyright 2008 Vanderbilt University. All rights reserved.
% John Haitas, Jeremiah Cohen, and Jeff Schall
%
% This file is part of JPSTH Toolbox.
%
% JPSTH Toolbox is free software: you can redistribute it and/or modify
% it under ... |
7370e9fbb30d9103850cff137577ceca4ddc72074801e8f44a7a12e254f91506 | MATLAB | 3,762 | 161 | function [ params_x, params_y, params_z ] = dlt_2D_to_3D( DLT, u, v )
% DLT_2D_TO_3D: get equation for line in real wolrd coords given DLT
% parameters and image pt coords. (Note, not vectorized)
%
% Usage:
%
% [ params_x, params_y, params_z ] = dlt_2D_to_3D( DLT, u, v )
%
% Inputs:
%
% DLT = set of 11 D... |
63f398125f08e8c9ef1b54afcf9d7eccf2df030a5f53b205b8fb5e9edb6d30e3 | MATLAB | 3,763 | 107 | % Demo code for multiple subplots of estimation plots. Original toolbox
% written by Adam Claridge-Chang's Lab
%
% Liangyu Tao June 10, 2019. Can now do multiple subplots
clear;close all
addpath(genpath(pwd))
% load data
load fisheriris
% create an extra category (to be used for the pair wise multiple
% c... |
6edd7ca0e588cf7d4cb4903e63684bdf9a6ba29eb4d384827f695e9bc286f396 | MATLAB | 3,763 | 119 | %% Plot 2d sigmoid functions for various values of w1, w2.
% i.e. sigmoid(w1*x1 +%w2*x2)
%%
% This file is from pmtk3.googlecode.com
function sigmoidplot2D
% Plot sigmoids with these parameters
%w_1 = [-2 ; -2 ; 0 ; 1 ; 1 ; 2 ; 2 ; 3 ; 5 ; 5];
%w_2 = [-1 ; 3 ; 2 ; 4 ; 0 ; 2 ; -2 ; 0 ; 4 ; 1];
w_1 = [-3 ; -3 ; ... |
702ceebac5772732b3f471c941af746823b0d9fc6e8b33248fadbd1c3d0a05c4 | MATLAB | 3,764 | 91 | function process_clusters
% extracts cluster data from cluster_data.mat, and stores this into two
% variables (SUA for single units, and MUA for multiunits). The variable
% lists the contributing unit id and the timestamps/index of the spike. an
% id conversion variable maps the unit id to the original id in the
% clus... |
3a5b3083080c35652cfb878781ee0bd4a5ca1383f0b62416a81f9319c537ded9 | MATLAB | 3,765 | 74 | if ~exist('save_name'),
save_name = 'Calib_Results';
end;
fprintf(1,'Generating the matlab script file %s.m containing the intrinsic and extrinsic parameters...\n',save_name)
fid = fopen([ save_name '.m'],'wt');
fprintf(fid,'%% Intrinsic and Extrinsic Camera Parameters\n');
fprintf(fid,'%%\n');
fprintf(fid,'%% ... |
8ea5edd20cb12b84896389d945434e62c0736418a455ea0eb58dd3fe250dc94e | MATLAB | 3,765 | 129 | function [logZ, nodeBel, edgeBel] = treegmInferNodes(model, localFeatures, softev)
% Compute marginals on a tree structured graphical model
% using an up-down sweep of belief propagation
%
% INPUT
% model is created by treegmCreate
% localFeatures is an optional D*Nnodes matrix containing local evidence
% If present... |
2dfbdbd90ac5de40e2a0bb69f067cb367b0df85a0a7c2232aab84329095286d1 | MATLAB | 3,766 | 98 | function vertIm = calcVertImage(im,im_ecc,im_pol,im_x,im_y,ecc,pol,sigma,varea,area_val,binary)
%{
This is a helper function for the convertBinaryToSurface function for
converting a binary image to surface space.
If binary is false, it loops through each vertex in the supplied
surfaces, creates a gaussian weight matr... |
abf64943359a5ca2b4108449c9d19c93858168412f461498e54d5cb8526657bf | MATLAB | 3,767 | 112 | %% warn_test
%
% Test for (suppressed) Matlab warning message
%
% <matlab:open('warn_test.m') code>
%
%% Syntax
%
% [waswarn,msgstr,warnid] = warn_test(oldstate, false)
% [waswarn,msgstr,warnid] = warn_test(oldstate, warnmsg, warnfunc,rwarnid)
%
%% Arguments
%
% _input_
%
% oldstate old warning state to r... |
4b49bf72c9da7a9c15dc7da491e45011136d59c25a28392d29df3c2ccded95ba | MATLAB | 3,768 | 95 | %--------------------------------------------------------------------------
% Title: Random Forest Model Creation using leave-one-subject-out cross
% validation
% Author: [Behrang Fazli Besheli]
% Email: FazliBesheli.Behrang@mayo.edu
% Institution: [Mayo Clinic, Department of Neurosurgery]
% Date: [09/07/2024]
%... |
24d7311c0aa5ec6c6ef24b777a026afc94441b6280f352fc3926a07630d964d5 | MATLAB | 3,772 | 132 | %% Compare
% In the spirit of reproducible research,
% we created a simpler demo, called
% linearKernelDemo.m ,
% which only uses linear kernels (so we don't have to cross validate
% over gamma in the RBF kernel) and only runs on a few datasets.
% This is much faster, allowing us to perform multiple trials.
% B... |
451f4ebb8a2cddca833151aaba3a27d9793c33d05d5abf1b014160480218171e | MATLAB | 3,772 | 96 | function [ALLEEG] = detect_spindles_batch()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Build EEG structure from multiple EEG datasets to batch run detect_spindles
%
% Contact: sfogel@uottawa.ca
%
% Date: May 6, 2020
%
% Citation: Ray, L.B., Sockeel, S., Soon, M., Bore, A., Myh... |
c590c1411feabe6b15a38ddff8d77acf03d4df01436787abe7231319d450c5bb | MATLAB | 3,773 | 104 | % PlotMiceStrideAveragess.m
% Sarah West
% 7/18/23
% For a given behavior period plots the average, resampled stride
% (normalized to be 10 data points long) across mice. Uses the standard
% error of the mean as error bars.
% Runs with RunAnalysis
function [parameters] = PlotMiceStrideOneMotorAndSpon(parameters)
... |
da4116ccb78605f3fb8f78accee740721a5da81b20369a09df493c0b3abed6b3 | MATLAB | 3,773 | 130 | function [gx,dgdx,dgdp] = g_HRF3(Xt,P,ut,in)
% T2* contrast observation function for HRF Balloon model (log space)
% function [gx,dgdx,dgdp] = g_HRF3(Xt,P,ut,in)
% This function evaluates the hemodynamic static observation equation
% function. HEMODYNAMIC STATES ARE IN LOG SPACE.
n = size(Xt,1);
% Get parameters and ... |
dc827c5c67d08d8ccbb607056784cbdebd807931599111e877bda9ced42fd42a | MATLAB | 3,776 | 94 | function checkgradient(problem, x, d)
% Checks the consistency of the cost function and the gradient.
%
% function checkgradient(problem)
% function checkgradient(problem, x)
% function checkgradient(problem, x, d)
%
% checkgradient performs a numerical test to check that the gradient
% defined in the problem s... |
3a68e65882752456c5c48cf8bf368caef3021384b4eeaf3b1dc3980e46f553e7 | MATLAB | 3,778 | 124 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% wrapper_full_calibration.m -- A wrapper for the calibration runtime. %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function []=wrapper_amr(pat_ix, model, inverse_model)
pat_cell = {'110411','117122','1... |
638796342dddc08bf519415a6bd21255e070b7474754ac5a751566b5f5c37a38 | MATLAB | 3,779 | 89 | %% Example script: running MCMC chains in parallel
% This example illustrates how to call JAGS and run a number of MCMC chains in parallel. It requires that you
% have the Matlab Parallel Computing Toolbox installed <http://www.mathworks.com/products/parallel-computing>
%
%%% Model definition
% The BUGS example was ta... |
141392ffbed75aa67893f6aab5dad172a5f200cf1e521237b55036c2c1692565 | MATLAB | 3,780 | 99 | addpath C:\code\spm12
addpath D:\ECoG_Atlas\functions
addpath C:\code\wjn_toolbox
spm('defaults','eeg')
%% Load Table
% clear all
%%
load('D:\ECoG_Atlas\MC\ECoG_Atlas_Table.mat')
load('C:\Users\ICN_guest\Charité - Universitätsmedizin Berlin\Interventional Cognitive Neuromodulation - PROJECT ECoG Atlas Connectomics (1)\... |
1f73ceb8762eaeb7bdee8926bcee3275677ca0f60c5cf1e7f9e0a4b1f8615925 | MATLAB | 3,780 | 104 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function eeg_prepro_loop2(subj_inspect, subject, condition, block, srmr_nr, make_plot)
%% loop 2: "manually" look at datasets that showed noisy spectra
%% (not necessarily bad channels), mark and reject bad channels if needed
% define path and subject id
subject_id = ... |
2795ec74569c7fa1cbcac98d8aa9bf8118174f0356297c51d768ae0d3d9478b2 | MATLAB | 3,780 | 98 | % Seven-point stencil on the unit cube, Poisson equation.
%
% This is basically the 3D analogue of FD_SQUARE.
%
% Inputs (defaults are used if not provided or set empty):
%
% - N: number of discretization points in each dimension (default: N = 32)
% - OCC: tree occupancy parameter (default: OCC = 64)
% - RANK_OR_... |
74bdf19e1c60597ad947a15f4c39ec06479162a7758c379c37c8e10eba4dbbfd | MATLAB | 3,780 | 104 | %% computeSDO_new()
% Construct an empty 'sdo' structure array and populate it with the
% relevant fields;
%_______________________________________
% Copyright (C) 2023 Trevor S. Smith
% Drexel University College of Medicine
%
% This program is free software: you can redistribute it and/or modify
% it under the terms... |
b328aa85c63e7735e119ad9eeb6fb1a22def07743dea35722d336bd27cf1a559 | MATLAB | 3,780 | 97 | % SubtractContinuousVariables.m
% Sarah West
% 6/13/22
% Removes Beta * continuous Y response variable from X explanatory variables
% after continuous variable regressions.
function [parameters] = SubtractContinuousVariables(parameters)
MessageToUser('Subtracting ', parameters);
% Find the location & value ... |
bac228bfa7a9fc1c45856ecbd85ef8fa7162a6cde7a7bd9eb6d4dcd9f5c805fd | MATLAB | 3,780 | 70 | function fcn_GenVisualSchaefeTian(Data, OutDir, Prefix, Mode)
% fcn_GenVisualSchaefeTian: Visualization mapping for Schaefer-Tian parcellations.
% -------------------------------------------------------------------------------------------
% Used to demonstrate the usage of the function fcn_GenVisualSchaeferTian.
% ... |
c34804ad080c0253bfebbc7b7dc1a878e73e37639111f42a34472f1e111e8934 | MATLAB | 3,784 | 111 | % Based on Chengcheng Huang code
function [Corr, Cov, rate2, rate1, var2, var1]=spkCntCorr(s1,s2,N1,N2,dim,Nc)
% s1, s2: spike times of neuron Pop1 & Pop2, respectively, 2xN (1st row contains spike times, 2nd row contains indices of neurons that spike)
% N1, N2: total # of neurons in Pop1 & Pop2, respectively
% Nc: 1... |
09c70db750b444c11c3180925de32b5dc88b98c0b2c9f2114b4bbac69f6a4372 | MATLAB | 3,785 | 98 | function [Kernel, features, corr_test] = predict_simcv(datadir, hmmdir, outputdir, HMM_name, n_train, n_test, betwgroup_diff, Y_noise, cv)
% [Kernel, feat, corr_test] = predict_simcv(HMM_name, n_train, n_test, betwgroup_diff, Y_noise, cv)
%
% constructs kernels and predicts from HMMs run on simulated timecourses
% for... |
1522f20452fe9de5f1a0b0c1877f494e025267cacedf26609f55aca6e1f847ce | MATLAB | 3,785 | 103 | % FT_PREAMBLE_LOADVAR is a helper script that optionally loads one or
% multiple FieldTrip data structures from mat files on disk, as an
% alternative to the user specifying the data structures as input variables
% to the calling function. This makes use of the cfg.inputfile variable.
%
% Furthermore, this function com... |
354ed10fcd937e499e6725fc77c7b44f25223d1f8f1132a56e0405ca6a8bc3f7 | MATLAB | 3,785 | 132 | addpath('./functions')
load('../data/FIG3_mnist_classification.mat')
%%
figure;
hold on;
for i = 1:10
plot(i-1.1+out2(i,1:100)'/2,'color',[1 0 0 1],'linewidth',1.5)
plot(i-1.1+datasc(i,1:100)'/2,'color',[0 0 0 0.7],'linewidth',1.5)
end
set(gca,'linewidth',2)
ylabel('Class output')
xlabel('Input num... |
56f7911cd08caca40890cff7c432703f9b075b00d33381144e430ab808d63ba0 | MATLAB | 3,787 | 105 |
% Initial electrode voltages prior to final subdivision step
cd ..;
cd(fullfile('3_create_electrode_data'));
run('set_electrodes_amr.m');
cd ..;
cd(fullfile('2b_forward_simulation'));
Vold = ElectrodeVoltages;
%% Global subdivision
tic
[cinterp, P, t, normals, Center, Area, Indicator, percentage] ...
= meshadapt... |
867f5211042153a6cc091d65b48aa1890079754f8fb6189b583e262ca8b234ef | MATLAB | 3,787 | 128 | function [Zica, W, T, mu] = fastICA(Z,r,type,flag)
%
% Syntax: Zica = fastICA(Z,r);
% Zica = fastICA(Z,r,type);
% Zica = fastICA(Z,r,type,flag);
% [Zica, W, T, mu] = fastICA(Z,r);
% [Zica, W, T, mu] = fastICA(Z,r,type);
% [Zica, W, T, mu] = fas... |
9d8a94a1c4ce612d5f4b4d370b339db12eadb65c963a570ace13ca91c992f8fe | MATLAB | 3,788 | 110 | hfig = figure(1234);
%% make a video that just shows the frame number
assert(exist('videotest','dir')>0);
outmovfile = 'videotest/FrameNumber.avi';
writerobj = VideoWriter(outmovfile,'Uncompressed AVI');
writerobj.FrameRate = 30;
open(writerobj);
nframeswrite = 1000;
hfig = figure(1234);
set(hfig,'Position',[10,10,... |
bf58877b90ddd351c590db21e10d8633fcb69e06963a6a6b0775ee19070d23fb | MATLAB | 3,788 | 104 | function extractProbeData(fname)
%function written by Kira, August 2017, updated May 2018
%updated Nov 2020
%function searches through experimental directories for excel files
%containing oxyprobe/LDF data
%it will then extract the data as a .mat file, and save into the directory
%
%
%INPUTS-
%fname = directory which... |
8aab80b7d24f0a1f9c0b3c26a4339f416a91645d3f2968f61a92aa7e141381e6 | MATLAB | 3,789 | 73 | function [ modules, modules_initialPositions, modules_initialStates] = define_modules( )
% This function defines the list of modules available in the dataspace
% GUI.
%
% <a href="matlab:edit dspace.app.define_modules">Edit dspace.app.define_modules</a>
%
% Edit with care. Dataspace might... |
351d5ce4418abbe458f46ddd52f393814c6f8e74364593f62af1125a11f738fd | MATLAB | 3,790 | 144 | function [h,ep,stat] = bayesian_ttest(x1,x2)
% function [h,ep,stat] = bayesian_ttest(x1,x2)
% bayesian_ttest - performs a statistical test of mean comparison under a
% bayesian inferential procedure. The test can be:
% 1-sample or 2-sample.
%
% Syntax:
% [h,ep,stat] = bayesian_ttes... |
8f696e45ca485a8625fb5f90f517c0af8b52756276a9d133494cb7a927e18cb8 | MATLAB | 3,790 | 101 | gen = 'R22D03AD_R20E08DBD Retinal Female';trial2Cons = '221214_Afternoon1_BS';frames2Cons = 100:300;
%gen = 'L320 Retinal Male';trial2Cons = '210308_Evening1_BS';frames2Cons = 6175:6175+100;
gen = 'L320 Retinal Female';trial2Cons = '210316_Afternoon2_BS';frames2Cons = 100:350;
%gen = 'L320 Retinal Female';trial2Cons = ... |
955749b9690bee0dbd2f86d050d5b6765dbb67614d4fd5fed7abdb39dd513f24 | MATLAB | 3,790 | 74 | % CSD - Current Source Density (CSD) transformation based on spherical spline
% surface Laplacian as suggested by Perrin et al. (1989, 1990)
%
% (published in appendix of Kayser J, Tenke CE, Clin Neurophysiol 2006;117(2):348-368)
%
% Usage: [X, Y] = CSD(Data, G, H, lambda, head);
%
% Implementation of algo... |
7bbea9b481c7bb4a16c9954415c4dd8c3494e3905a7e439cf2adc9abc692e653 | MATLAB | 3,793 | 135 | function data = analyze_camkii(params,roi,camch,AB_chs)
%calculates correlation and volume overlap between different AB channels
folder = params.parentfolder;
%Extract parameters
xystep = params.xystep;
zstep = params.zstep;
%thresholds = params.thresholds;
chsplits = split(camch,"-");
roundno = chsplits{1};
chno = ... |
79bb3ea7fcf6e1c752500bf594f6d7e55f1e0455779f1612717ccb56d1dc7ec4 | MATLAB | 3,794 | 106 | % Second-kind integral equation on the unit square, Laplace single-layer.
%
% This is basically the same as IE_SQUARE1 but with the identity added to the
% system matrix in order to create an artificial second-kind volume integral
% operator. It skips the preconditioned GMRES comparison since the problem is
% well-cond... |
f51295bfddde4333653e32d5a5a8f4e0a22bffe25498419bb5ee687828ec4629 | MATLAB | 3,796 | 110 | function [ x, er ] = checkNumArgs( x, siz, intFlag, signFlag )
% Helper utility for checking numeric vector arguments.
%
% Runs a number of tests on the numeric array x. Tests to see if x has all
% integer values, all positive values, and so on, depending on the values
% for intFlag and signFlag. Also tests to see if ... |
c7a6086d8a3ca1493458d3ec7b39f3e5e3709d0a0bc34dccca6df2145a22e869 | MATLAB | 3,797 | 117 | function meg_manuscriptFigs_TE_byPrecue_mdlFit_freq_bar
% function meg_manuscriptFigs_TE_byPrecue_mdlFit_freq_bar
% Plot model fits (linear+periodic) free frequency by precue (All trials,
% precue T1, precue T2)
%% Load data
user = 'kantian';
filename = sprintf('/Users/%s/Dropbox/github/ta-meg-analysis-model/model_... |
fa2d0ab368d85273e2e4304a599dbc3e3804883c66d08fbd232152f24861bc8d | MATLAB | 3,797 | 99 | function [Qn_bin, Qtb, QmscUsP, QmscnoUsP] = Calc_Newman_ModularityIM(fc,IM,params)
% This function calculates Newman's Q (2004) and Traag and Bruggeman Qtb (2009) based on a predefined network
% structure (Infomap solution saved in IM.key).
% This code also calculates Newman's Q on unbinarized matrix using a
% functi... |
09b1363e285b18c12c1ea7a7b7e9daf97e745dd974be6352bdcdfc04677ca87a | MATLAB | 3,798 | 122 | % function [im_post_pystripe] = pystripe(input_img,sigma_background,sigma_foreground,threshold)
%
% p = inputParser;
% addOptional(p,'sigma_background',1024);
% addOptional(p,'sigma_foreground',128);
% addOptional(p,'threshold',-1);
% addOptional(p,'crossover',10);
% addOptional(p,'wavelet','db5');
% addOptiona... |
2fa715a69837b9bcff4c9e5c3f1b7602cb62b69bab9881429d7aafbae4ada7bf | MATLAB | 3,798 | 80 | % Distance int-pyr in assembly vs int-pyr out assembly
figure
[data1,data2] = extract_variables ('pos',[],resultsPath, 'distIntPyrInAssembly', 'distIntPyrOutAssembly',conditionType,conditionValue);
% find recordings with no assemblies (distIntPyrInAssembly set on zero)
noAssemblyRec = find(cell2mat(data1)==0);
data1 ... |
3252e9dd4e6a922e7deaf4f2c956fca0c3f963cf30b566a4e9076d5c20e0a406 | MATLAB | 3,798 | 94 | function CBIG_Yeo2011_ProjectSplitLabels2MNI1mm
% CBIG_Yeo2011_ProjectSplitLabels2MNI1mm
% Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
cortex_mask = MRIread(fullfile(getenv('CBIG_CODE_DIR'), 'data', 'extras', 'surf2surf_gui_data', 'CorrespondenceFreeSurferVolSurfSpa... |
c971eeebcfda0c4eaf524d2e675fdcc40628e4a4072ccfee96d2310f277b7566 | MATLAB | 3,798 | 117 | function h = ft_plot_line(X, Y, varargin)
% FT_PLOT_LINE helper function for plotting a line, which can also be used in
% combination with the multiple channel layout display in FieldTrip.
%
% Use as
% ft_plot_line(X, Y, ...)
%
% Optional arguments should come in key-value pairs and can include
% 'color' ... |
7aaf638adba6e36b48ef635253a9fa86de44c633eba9ba8abb905fb1df020948 | MATLAB | 3,801 | 121 |
%data = randn(1000,10);
%batch = [1 1 1 1 1 2 2 2 2 2];
%mod = [1 2 1 2 1 2 1 2 1 2]';
function bayesdata = combat(dat, batch, mod, parametric)
[sds] = std(dat')';
wh = find(sds==0);
[ns,ms] = size(wh);
if ns>0
error('Error. There are rows with constant values across samples. Remove these ro... |
e2d11fb46ab4734b56aada96434c5eefbb09f285582b48e55633f9024c8b0405 | MATLAB | 3,801 | 114 | %% |crameri| documentation
% |crameri| returns perceptually-uniform scientific colormaps created
% by <http://www.fabiocrameri.ch/colourmaps.php Fabio Crameri>.
%
% <<crameri.png>>
%
%% Syntax
%
% crameri
% cmap = crameri('ColormapName')
% cmap = crameri('-ColormapName')
% cmap = crameri(...,NLevels)
% cma... |
165fce5ec8f9f89d910a8e36729a0bee75c0c1e932b85719e1baac3c4d1762af | MATLAB | 3,804 | 123 | clear main;
clc;
main()
function main
disp("Let's get started...");
mouseID = input("Enter Mouse ID: ");
experimentName = input("Enter Experiment Type (SI, Def, SDT): ",'s');
sectionNum = input("Enter Section Number (If none exists, press Enter): ");
if isempty(sectionNum)
segmentFilename ... |
2882e17aff988cc8498aa82714244dfa68387272c72074f6383d8bf71f62c371 | MATLAB | 3,804 | 141 | function [y,ntrimmed,allw] = trimts(y,sd,X,varargin)
% 1. Adjusts for scan effects (unless X is empty)
%
% 2. Windsorizes timeseries to sd standard deviations
% - Recursive: 3 steps
%
% 3. Adds scan effects back into timeseries
%
% :Usage:
% ::
%
% function [y,ntrimmed,allw] = trimts(y,sd,X,[do spike corre... |
1c6f3532956f7da4050d01e04267c5378343fa4cc5a665a7ee7fb1b5460cad99 | MATLAB | 3,805 | 132 | function [stats,st] = lme_FSfit(X,Zcols,y,ni,e)
% [stats,st] = lme_FSfit(X,Zcols,y,ni,e)
%
% Linear mixed-effects estimation by the Fisher scoring algorithm.
%
% Input
% X: Ordered (according to time for each subject) design matrix (nmxp, nm
% total # of maps, p # of fixed effects).
% Zcols: Vector with the indices o... |
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