sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
2aaf4ec87d3a26a458fab08190bebc50955c2322be134690c0791547364dc7a4 | MATLAB | 2,192 | 67 | function process_tracking(basepath,varargin)
% processes dlc output and loads into animal behavior file for SNLab ephys
%
% Pipeline -->
% 1. general_behavior_file creation ->
% 2. trials_from_metadata ->
% 3. maze_coords ->
% 4. Restrictxy and scale coords ->
% 5. saves have to general behavior file
% Dependenci... |
41fd12786f065ce3690aad230104c2f2842f1dfc66c2c489758902e4d3478c36 | MATLAB | 2,192 | 80 | % _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
%
% findSpikes.m
% part of the crabsort package
%
% created by Srinivas Gorur-Shandilya at 8:58 ,... |
cae8d45df33edb0058d0b058c4aaf5da0e6115881082cc2ff5e814ca8170e4e8 | MATLAB | 2,192 | 70 | function [newface, newfaceIdx] = clip_mesh(face)
% remove dangling triangles and ears from a mesh
%
% [newface, newfaceIdx] = clip_mesh(face)
%
% face: triangulation
% newface: clipped triangulation
% newfaceIdx: indices of new faces in old triangulation
%
% partially based on compute_boundary ... |
d6ca56423a9c5c3127a49ec39a41850694df504257256a9230f5c9912d85b758 | MATLAB | 2,192 | 65 | function [posterior,suffStat,options] = VBA_Initialize(y,u,dim,options)
% initializes approximate posterior of sDCM unknown variables
% function [posterior,suffStat] = VBA_Initialize(y,u,muX0,f_fname,g_fname,options)
%
% This function initializes the parameters and hidden-states which have to
% be estimated using the V... |
341a3dcc3445cb459ae82cc70f3155b71eae6e4280416113d9fe8a609cd21f5f | MATLAB | 2,193 | 66 | function [F, dF] = nca_lin_grad(x, X, labels, no_dims, lambda)
%NCA_LIN_GRAD Computes NCA gradient on the specified dataset
%
% [C, dC] = nca_lin_grad(x, X, labels, no_dims, lambda)
%
% Computes the linear Neighborhood Components Analysis (NCA) gradient
% on the dataset specified through X and labels to reduce... |
5791d54038c4b9e8f9d1bffea51772db293dddaff404bc11bc54c388c6a565cf | MATLAB | 2,193 | 82 | function contrasts = staircaseAdjustmentContrastTargets(pedestal, contrasts, perfs)
%
% function staircaseAdjustment(contrasts, discrims)
%
% contrast is [low-contrast(decrement) high-contrast(increment)]
% discrim is [valid-discrim-targetType1(decrement)
% valid-discrim-targetType2(increment)]
%% pedestal can be 1 or... |
698b55577c8469e92e8d53fe7094e19f5f388cf10ab62b036423088466e4e140 | MATLAB | 2,193 | 71 | function [mu,curv,out] = VBA_optimCost(costFcn,init,options)
% generic call function for function f(x,args) maximization
% function [opt,curv,out] = VBA_optimCost(costFcn,init,options)
% IN:
% - costFtn: the name/handle of the function that computes the cost,
% taking x and some arguments 'args'. Its I/O format sho... |
77747442bcf7c8605cbd2f3308fb207645958af1802bbdaeb1b6e36598ae9d08 | MATLAB | 2,193 | 57 | function id = defaultId
% DEFAULTID returns a string that can serve as warning or error identifier,
% for example 'FieldTip:ft_read_header:line345'.
%
% See also WARNING, ERROR, FT_NOTICE, FT_INFO, FT_DEBUG
% Copyright (C) 2017, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org... |
f1036b61d5ff9d22f890b779e0adc9f2f8567ae3f66816806a0c882c8cbe8be8 | MATLAB | 2,193 | 52 | % Contact ythomas@csail.mit.edu or msabuncu@csail.mit.edu for bugs or questions
%
%=========================================================================
%
% Copyright (c) 2008 Thomas Yeo and Mert Sabuncu
% All rights reserved.
%
%Redistribution and use in source and binary forms, with or without
%modification, a... |
bb3081ea6a3e55c30ce545aeb1885396885dd02ae406880ad52b7aebe9389771 | MATLAB | 2,194 | 96 | %% Time series as s state space model
% State = (level, trend, q3, q2, q1)
%
% X(t+1) = A X(t) + noise(Q)
% Y(t) = C X(t) + noise(R)
%%
% This file is from pmtk3.googlecode.com
linestyles = {'-', ':', '-.'};
colors = {'k', 'r', 'b'};
%% Local level model
setSeed(0);
ss = 1; % state size
os = 1; % observation size
... |
437de03381b89f025ee94aeb584bd07612e09404a50f6b1591422ebcf2f13505 | MATLAB | 2,195 | 70 | %% mvgc_pval
%
% p-values for sample MVGC based on theoretical asymptotic null distribution
%
% <matlab:open('mvgc_pval.m') code>
%
%% Syntax
%
% pval = mvgc_pval(x,p,m,N,nx,ny,nz,tstat)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% x matrix of... |
fd28cb770faceb28585bb8374e5285ae0413baab40df002c8ec395d046f8a318 | MATLAB | 2,195 | 66 | % create a channel map file
Nchannels = 64;
connected = true(Nchannels, 1);
chanMap = 1:Nchannels;
chanMap0ind = chanMap - 1;
Nshanks = 4;
ycoords = [0,-25,-40,-65,...% shank A
-80, -105, -120, -145,...
-160,-185,-200,-225,...
-240,-265,-280,-305,...
0,-25,-40,-65,... % shank B
-80, -105, -120... |
9e66dee48731093254ab416c9f8af60d8cbda519f46cd4d9412da7cb8b5fa9ed | MATLAB | 2,196 | 62 | function [errcode, times, wave, mag, freq, phase] = ...
wlSynth_makeOneBurst_Simple(samprate, f1, f2, a1, a2, pstart, periods)
% function [errcode, times, wave, mag, freq, phase] = ...
% wlSynth_makeOneBurst_Simple(samprate, f1, f2, a1, a2, pstart, periods)
%
% This function generates an oscillatory burst aligned ... |
d03cab0d9d9fa2f79478805c0a7ea09258cef2278a0c646376f4e52f57f48309 | MATLAB | 2,196 | 68 | function [dat, w] = ft_preproc_denoise(dat, refdat, hilbertflag)
% FT_PREPROC_DENOISE performs a regression of the matrix dat onto
% refdat, and subtracts the projected data. This is for the
% purpose of removing signals generated by coils during continuous
% head motion tracking, for example.
%
% Use as
% [dat] = ... |
0b1f73dd8a09a06858cd4fcbeb5fe5e98ecf936bd1ecbbe37931872ec80adbda | MATLAB | 2,197 | 62 | function eulcfg = paramInitEULApar(cfg)
% Created by Xinan Chen on 09/24/2022.
% This function returns parameters corresponding to the input 'data_name' and analysis type
% Input: type := 's' if run for speed map; 'v' if run for flux vectors
% Output: 'eulcfg' := structure containing parameters for EULA analysis
... |
5cde4aad445c2bc6b2c8030d89a84f4bd4b7b82c562c95c877fae038dcc2699a | MATLAB | 2,197 | 68 | function wlPlot_plotEventXYMultiDual(cfg, matchseries, ...
freqrange, durrange, amprange, figtitle, filelabel)
% function wlPlot_plotEventXYMultiDual(cfg, matchseries, ...
% freqrange, durrange, amprange, figtitle, filelabel)
%
% This function makes a scatter-plot of detected parameter values vs
% ground-truth par... |
846406a5a3615a4ea3261e074fec40bb3ab156b5128ad3bcda6a47f8113dc98e | MATLAB | 2,197 | 75 | %% getCommonCdfPlot
% Common plotter module used in MAB's code to plot significance of
% test statistic vs. distribution of shuffled test statistics. For use
% within the SDO Analysis Toolkit.
% Copyright (C) 2023 Trevor S. Smith
% Drexel University College of Medicine
%
% This program is free software: yo... |
8f9b5721b96f750d9056baf97482891f4c330d331d079921e6252e3314ac4548 | MATLAB | 2,197 | 75 | function writenodelm_surface_medit(fn,faces,p,nodemap,verbose)
% writenodelm_surface_medit(fn,faces,p,nodemap)
% Writes a shell surface defined in 'faces' and 'p' to a file called 'fn'
% in medit format (.mesh) so it can be viewed using medit.
% Note that this routine renumbers the node numbers from 1 to N and accordin... |
81e3fac7e50f6bfdd6ca1c6faac89ab5cae37e45593ee3846d7fe70168ec2dab | MATLAB | 2,198 | 45 | function q = CBIG_AuthorTopic_EM_Exp_Inference(w, paradigm, params)
% q = CBIG_AuthorTopic_EM_Exp_Inference(w, paradigm, params)
%
% Update auxiliary parameter q in the E-step on each experiment
%
% Input:
% - w = 1 x 3 cell array of experiment's activation foci.
% w{1} = Ne x V sparse matrix w... |
c22b22e04aa2cefb4d7a962d31c145be7ce6287991acea86987b75eeac6e5904 | MATLAB | 2,199 | 82 | function ft_documentationreference(outdir)
% FT_DOCUMENTATIONREFERENCE is a function to maintain the online reference
% documentation.
%
% Normal users will not be calling this function, but will rather look at
% http://www.fieldtriptoolbox.org/reference where the output of this function can
% be found.
%
% See also F... |
8f70180b130035bce7a32e3445e00b1d03233df8313cadf280aa5a191485987f | MATLAB | 2,200 | 61 | % motor_FindBehaviorPeriods_all.m
% Sarah West
% 12/6/21
% Cycles through mice, days, stacks and calls motorFindBehaviorPeriods
% function. Saves the behavior periods.
function [] = motor_FindBehaviorPeriods_all(parameters)
% Establish base input directory
dir_in_base=[parameters.dir_exper 'behavior\extract... |
b2139b339cf5b373d7d6c35a7d688a763661adab4883a336f103a86e7d7118ca | MATLAB | 2,200 | 79 | function f = matrixnormalize(m,minv,maxv,mmin,mmax,chop)
% function f = matrixnormalize(m,minv,maxv,mmin,mmax,chop)
%
% <m> is a matrix (no Infs).
% <minv> is the minimum desired value. can be a scalar
% or a matrix the same size as <m>.
% <maxv> is the maximum desired value. can be a scalar
% or a matrix the sa... |
2488e24ad49f93145fd33affea0f1fde119a459862f6792354762734df7fc4a3 | MATLAB | 2,202 | 58 | function Obj=SOFAconvertCIPIC2SOFA(CIPIC)
% Obj=SOFAconvertCIPIC2SOFA(CIPIC) converts the HRTFs described in the structure CIPIC
% (see CIPIC HRTF format) to a SOFA object.
%
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences;
% Licensed under the EUPL, Version 1.1 or – as soon they ... |
535bdfccf1ffc86b0f27c7021abc09a08bfe173aeb32d38ae89a13d63f1af2a9 | MATLAB | 2,202 | 64 | function mdlparams = gfFitDoGMonotonic(mdlparams, xvals, yy)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
mdlfit = mdlparams;
rmax = mdlparams.rmax/2;
%======================================================... |
5b106953fd3751677868f8e54719428998aae422b6d2c6a80face0249d353765 | MATLAB | 2,202 | 40 | % Tensor Toolbox (Sandia National Labs)
% Version 2.6 06-FEB-2015
% Tensor Toolbox for dense, sparse, and decomposed n-way arrays.
%
% Tensor Toolbox Classes:
% Tensor - Dense tensors.
% Sptensor - Sparse tensors.
% Ktensor - Kruskal decomposed tensors.
% TTensor - Tucker decomposed tensors.
% Te... |
fca66b3092f0d1f5754851e20e807def4b6676299bcec94a57db004e2767eb5f | MATLAB | 2,202 | 75 | function y = upsconv2_gpu(x,f,s,dwtARG1,dwtARG2)
%UPSCONV2 Upsample and convolution.
%
% Y = UPSCONV2(X,{F1_R,F2_R},S,DWTATTR) returns the size-S
% central portion of the one step dyadic interpolation
% (upsample and convolution) of matrix X using filter F1_R
% for rows and filter F2_R for columns. The upsample... |
9e1024346a51a85852ad60a0dd45d508d0602410d2187427a58c698a7b2c7f74 | MATLAB | 2,204 | 73 | function [D, Dsm] = distMatrixShow( D, IDX, show )
% Useful visualization of a distance matrix of clustered points.
%
% D is sorted into k blocks, where the ith block contains all the points in
% cluster i. When D is displayed the blocks are shown explicitly. Hence
% for a good clustering (under a spherical gaussian a... |
2ae242d625c81154b79ff10daec206c288946fc912e572fba0e6768f9ef5e6d2 | MATLAB | 2,205 | 69 | function skaggs_info= skaggs_information(varargin)
% MT - adapted from Skaggs, McNaughton, Gothard
% calculates skaggs information according to following formula:
% info= sum_over_all_x(mean_firing_rate_at_x*log2(mean_firing_rate_at_x/overall_mean_firing_rate_of_cell)*prob_density_being_at_x)
if isempty(varargin)
... |
4f33c40f4cba0563e4e376fbdb8e78097ad421ec6dfe7e7927a3bc5fc8b87271 | MATLAB | 2,205 | 72 | t = 1:10000; % total time frames
mint = min(t);
maxt = max(t);
num_bins = 20;
log_min = log10(mint + 1); % Avoid log(0) by adding 1
log_max = log10(maxt);
bin_edges = logspace(log_min, log_max, num_bins + 1); % log space of time
t = t/21;
t=t';
tau68 = 107;
tau70 = 285;
tau73 = 550;
af = '68';
path = strcat('/... |
491861ac148322280febd3ba8194d2f090b3181ba9d22decd8467b3faa01c7cb | MATLAB | 2,206 | 69 | % 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 script performs an optimization to minimize muscle fatigue for 9 combined muscles by applying using the Cost_Fu... |
740d77b9d899efe5ae2e09341252fbdc028661555ee2096e1c7ab8f3abb363f4 | MATLAB | 2,206 | 70 | % Exampleusing fminunc optimizer and mutual information and grid
% refinement
%
% Example is written by D.Kroon University of Twente (OCtober 2008)
clear all; close all; clc
% Add all function paths
addpaths
% Read two greyscale images of Lena
I1=im2double(imread('brain3.png'));
I2=im2double(imread('brai... |
04f69f7b9f7f469f29eede3ee79c20883e104d035874b6c88fd16de099701380 | MATLAB | 2,207 | 86 | % TRISPHERE_SUBDIV Recursive subdivision of unit sphere triangulation.
%
% [V,F] = TRISPHERE_SUBDIV(N) produces a triangulation of the unit sphere
% with vertices V and faces F of size at least N by recursively subdividing a
% base icosahedron triangulation. The vertices of triangle I are V(:,F(:,I)).
% Th... |
519271a4f7123aec53500491a700479fb583ce822f24a52748d55d6a82b03fe4 | MATLAB | 2,208 | 57 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This script selects a subset of links according to the chosen networks %
% and then, it organizes the adjacency matrices into links %
% %
% Author: ana.tr... |
5221f83d7c54a94ef9f718cd1f82a3f1b927c3f5d97f4d9a40dda2cd064e993e | MATLAB | 2,208 | 82 | function [imagingTrimmed, mvmTrimmed, fs_abf, si_abf,timeStart,timeEnd] = loadMvm(data,imagingCh, mvmCh, dataType, timeStart,timeEnd);
% >>> OPERATION >>>
% Load abf file with imaging-on, treadmill (and LFP if applicable) data.
% Option: choose specific interval of abf to isolate (e.g. to analyse only
% one movie of t... |
406fc25ff878b6ebc16d195a67100cd05dcaaba6000cb756d42de3b34c93ea88 | MATLAB | 2,209 | 77 | function [st,res,warningstr] = syscmd(cmd0, varargin)
% Run a command using Matlab built-in system() command, but with some handy
% additional capabilities.
% Optional args allow caller to specify what to do if the command fails. (Can
% error, warn, or silently ignore.) Also has option to lightly process a JSON
% res... |
a88b4661a09f800598a3b3667b729fbe76a003facee7b08d1aa7126d7046307f | MATLAB | 2,209 | 82 | function C_patt = pattern_complexity(BOLD_data,window_size)
% Vary k from 3 to 100
k_list = 3:100;
k_num = numel(k_list);
replicates = 1;
% Preallocate sequence index matrix
idx = nan(height(BOLD_data),k_num);
for k = 1:k_num
K = k_list(k);
[~,centroid] = kmeans(BOLD_data,K,'distance','correlatio... |
af97c209833d7cb403f7614899d8676401439243d1b155d9f1f23647305f8f45 | MATLAB | 2,210 | 73 | function selectedFeatures = DISR(k, featureMatrix, classColumn)
%function selectedFeatures = DISR(k, featureMatrix, classColumn)
%
%Computers optimal features according to DISR algorithm from
%On the Use of variable "complementarity for feature selection"
%by P Meyer, G Bontempi (2006)
%
%Computes the top k fe... |
cba510a47dc4eedf5094231f473ce7a8ecc228e41bd2d8e841413bfee4feec1a | MATLAB | 2,210 | 48 | clear
clc
close all
nb_models = 10000;
stimAmp_step = [-53];
% stimAmp_diffusion = (2:0.1:2.5);%-53*(0.5:0.3:1.5);
t = 0:100;
Istim = get_diffusion_current(t, 1);
max_Istim = max(Istim);
% stimAmp_diffusion = unique(round(stimAmp_diffusion*max_Istim));
% stimAmp_diffusion = [11]; % Calibrated to achieve stimulation... |
12fa5bc36d66df7a4c719ef0767cfbca77c3e61ed88f310f283e1c841407b2d3 | MATLAB | 2,211 | 63 | function approxhess = getApproxHessian(problem, x, d, storedb, key)
% Computes an approximation of the Hessian of the cost fun. at x along d.
%
% function approxhess = getApproxHessian(problem, x, d)
% function approxhess = getApproxHessian(problem, x, d, storedb)
% function approxhess = getApproxHessian(problem, ... |
1f1d80b222ca410c9c9f86c9835e428428783ddb1af9e030340843a6f60b1609 | MATLAB | 2,211 | 61 | % change to data directory
% cd /home/xianchige/TL/retinotopic/zhangchi;
clear all;
sub_dir = '/home/amax/YZY/20220523data/sub05/session08';
% define FreeSurfer stuff
fsdir = '/home/amax/YZY/20220523data/sub05/sub05';%皮层的位置
subjectid = 'sub05';
% define
hemis = {'lh' 'rh'};
interptype = 'linear'; % what type of inte... |
5030a74b2c93d72307c234b907ac1e0979e9d73f91bed45315a60b128b9d8a61 | MATLAB | 2,211 | 72 | function run_decode(x,winsize,stepsize,prctokeep,ISCfile,folderout)
disp('# preparing files')
load sphoutMAT_v2
addpath(genpath('/scratch/work/eglerean/isctest/external'))
mask = load_nii('/scratch/cs/networks-pm/effects_externalfactors_on_functionalconnectivity/data/mri/conn_matrix/movie/group_mask_mult.nii');
... |
91c25f024fa55a201a7663d13335160141e8d9d1e8be03de4482386b26e8901c | MATLAB | 2,211 | 43 | % align ImageArray and keep result in ImageArray_Reg
function [ImageArray_Reg DeltaX DeltaY MaxValue] = LapseReg_XY(ImageArray, AlignRegion, MaxShiftX, MaxShiftY, MinCorrValue);
LastImageNumber = size(ImageArray,3);
BestImage = ImageArray(:,:,1); % Best Image should be first in ImageArray
RegionsProps = regionp... |
ab57dbeda7350643d90b9e0b09627fa5858d95aaa228aa8594d7b5005bb9d3ca | MATLAB | 2,211 | 70 | %load('JPSTHCell.mat')
[numRows,~] = size(JPSTHCell);
numiter = 5000;
for ck = 1:numRows
curJP1 = JPSTHCell{ck,7};
curJP2 = JPSTHCell{ck,8};
curSP1 = JPSTHCell{ck,9};
curSP2 = JPSTHCell{ck,10};
sigCounterJ = 0;
sigCounterS = 0;
curXCorr = JPSTHCell{ck,3};
curSCorr = JPSTHCell{... |
930aeeab4d3a1b851e310be69620f059c1e8bff1591baed96dd63a8e2811b206 | MATLAB | 2,215 | 65 | % Define a function that generates a connectivity matrix 'w' for a neural network.
% The matrix represents the synaptic connections between excitatory (E) and inhibitory (I) neurons.
function [w] = conn_matrix(NE, NI, g, pr_E, pr_I, pr_II, mEE, mEI, mIE, mII)
% Calculate the total number of neurons in the net... |
9e6fe80d6867f38e2d4810859a3d7fd26b4544b5101df13f3c2d24d38c9400b9 | MATLAB | 2,215 | 72 | function run_decode(x,winsize,stepsize,prctokeep,ISCfile,folderout)
disp('# preparing files')
load sphoutMAT_v2
addpath(genpath('/scratch/work/eglerean/isctest/external'))
mask = load_nii('/scratch/cs/networks-pm/effects_externalfactors_on_functionalconnectivity/data/mri/conn_matrix/movie/group_mask_mult.nii');
... |
b9cecf05da7647974b6ff29f30a8f8be93210fca19ec125cfd06e5092e88ef25 | MATLAB | 2,215 | 105 | % this function does the actual heavy lifting in
% training the NN. meant to be run on a b/g worker
function trainGlobalNetwork(nerve_name, SpikeSign)
% load all the data for this nerve
allfiles = dir([fileparts(fileparts(which('crabsort'))) filesep 'global-network' filesep nerve_name '_' mat2str(SpikeSign) '*.mat... |
0fca6c19d04dd2d0b6a62f3609db18331d5e9d0c23c5a5a5ecd3c969cbf3e6f8 | MATLAB | 2,216 | 77 | function data = read_asa_msr(fn)
% READ_ASA_MSR reads EEG or MEG data from an ASA data file
% converting the units to uV or fT
% Copyright (C) 2002, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: you ca... |
2641fad6f6e8879e2446653af7a01f57c08286847a042cb2536be6c985534940 | MATLAB | 2,216 | 87 | function [C, fH, figNames] = meg_sortChannels(expt, sessionDir, user, sortType)
%% setup
%% inputs
if nargin == 0
% for testing
expt = 'TA2';
sessionDir = 'R1187_20181119';
user = 'mcq';
sortType = 'classweights'; % alpha, threshold
end
% directories
exptDir = meg_pathToTAMEG(expt, user);
% para... |
c29289de0d9eaf483b84a573deb3d05ed7a84ba4daf6094d23b0e321cf81c4f2 | MATLAB | 2,216 | 33 | % data1=load('E:\5个被试原始数据\CPPDATA\GLMdata\sub01原始数据\session02\preprocess\surfacedata\surface_run01\lh.surfacedata.mat')
% data2=load('E:\5个被试原始数据\CPPDATA\GLMdata\sub01原始数据\session02\preprocess\surfacedata\surface_run02\lh.surfacedata.mat')
% data3=load('E:\5个被试原始数据\CPPDATA\GLMdata\sub01原始数据\session02\preprocess\surfa... |
4c464f149fed4b2c10bf91a94c2b7abb09bf3ea8b824f0872fb075298d8ec118 | MATLAB | 2,217 | 63 | function rgb = vals2colormap(vals, colormap, crange)
% Take in a vector of N values and return and return a Nx3 matrix of RGB
% values associated with a given colormap
%
% rgb = AFQ_vals2colormap(vals, [colormap = 'jet'], [crange])
%
% Inputs:
% vals = A vector of values to map to a colormap or a cell array of
% ... |
75d2b3ed42ebbed557842d6b08b99e222b1e0a00878fa9b6e6bf1352fdd50ca8 | MATLAB | 2,217 | 76 | function run_decode_xyz(xyz,winsize,stepsize,prctokeep,ISCfile,folderout)
disp('# preparing files')
load sphoutMAT_v2
addpath(genpath('/scratch/work/eglerean/isctest/external'))
mask = load_nii('/scratch/cs/networks-pm/effects_externalfactors_on_functionalconnectivity/data/mri/conn_matrix/movie/group_mask_mult.nii'... |
c0c5d3739a59659328ea537bb5daa74ba47202b097278f9863cac61aaae3ff9b | MATLAB | 2,217 | 64 | function [y,pm0]=anaqpsk(N,Ncomp,f0);
%ANAQPSK Quaternary Phase Shift Keying (QPSK) signal.
% [Y,PM]=ANAQPSK(N,NCOMP,F0) returns a complex phase modulated signal
% of normalized frequency F0, whose phase changes every NCOMP point according
% to a discrete uniform law, between the values (0, pi/2, pi, 3*pi/2).
% Such... |
19af1f7702b24563323028e802bc3a207536b219adae7b6f779b66da8e9dbf61 | MATLAB | 2,218 | 48 | function [S0,nTrans,nPathways] = PathwayRecursiveS0Long(PathwaySignalFirstOrder,TransFirstOrder,PathwaySignalHigherOrder,TransHigherOrder,GwaveHigherOrder,idxHigherOrder,Precision,loss,nLongPathsInit,PathwayLength,nPeriods)
%%
%Define number of transverse periods
nTrans=zeros([nPeriods*2,1]);
nPathways=zeros([nPeriods*... |
2e52289da6d6878691d5d26ad7f20a75af2c5aa1ae78845be81272beddc1324b | MATLAB | 2,218 | 88 | %% ------------------------------ Initialize ------------------------------
% include all functions
% clear all
% addpath(genpath('src'));
% parameters;
%
% name = 'P8_No28_Iba1-A647_DAPI_b1_h1_12'; % must be without tiff extension !
name_save = clen_name(name);
mkdir(['results/' name_save]);
%% -----------------... |
5398332508ef7b0f86ea9510aa912c771cd621dbdaf5d5d4253ff245d1f48d21 | MATLAB | 2,218 | 45 | %% Cortical Cytoarchitectonic Clustering
clear;clc;cd('D:\MacaqueCortParc')
x = load_untouch_nii('Res\atlas2mtr2024.nii'); a = single(x.img);
%% load data
load Res/MAPparams xpa xng xrtap xrtpp xfa xad xrd pial msp
%data = [xpa(:) xng(:) xrtap(:) xrtpp(:) xfa(:) xad(:) xrd(:)]; % MAP/DTI
data = [xpa(:) xng(:) x... |
cc52bcb7451a843ff9d235154dd6acd818d68fe173f6d5e0c705965e169a11e5 | MATLAB | 2,218 | 62 | function h_saveDefault3(handles, flag)
% flag = 1 (default), 2 or 3
if ~exist('flag', 'var') || isempty(flag)
flag = 1;
end
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
pname = h_findFilePath('h_imstack3.m');
fileName = fullfile(pname, 'h_imstack3Default.m... |
7a37033679e720a4ea8249725eb4cee509467fdaafd551ed63f9f9563da08b60 | MATLAB | 2,219 | 82 | function [xout yout] = mkWinFuncLog(center,width,tWidth,range,wrapping)
%-----------------------------------------
% [xout yout] = mkWinFunc(enter,width,tWidth,range,wrapping)
%
% create a flat windowing function with raised
% cosine transition boundaries, to evaluate in
% the log domain, suitable for use with interp1... |
d8e29cf49f3ff35ec6aea7c46a39995139231939fbe6f502851a55d5482537d8 | MATLAB | 2,219 | 70 | function [u,v] = calc_prob_gradient(sites,L,invert_y,normalize)
% sites(i).p(k) is the outgoing probability from site i to j = sites(i).neigh(k)
% this function generates a vector field, u (horizontal), v (vertical), such that
%
% y-positive is pointing downwards (unless invert_y is set)
%
%
% u(i) = p(k,i) - p(j,i), w... |
10b70cf59dd27626a09fbd7f15941eda23fae94c9e105b5fc974c2c928d6ff30 | MATLAB | 2,220 | 50 | %% ------------------------------------------------------------------------
% configuration
% every line contains three fields:
% 'filename'
% 'legend text'
% 'Marker'
% 'Color'
% 'MarkerFaceColor'
% 'TextPosition': [x, y]
% ----------------------------------------------------... |
272fc1bd5a9c1f9b88b0a995772de180b94b48b7ed9024dec8b356259ec3b156 | MATLAB | 2,220 | 89 | % Demonstrate effect of cell AP morphology on T wave morphology: bifid T
% waves due to change in gradients in ToRORd model
close all
param.bcl = 800;
param.model = @model_ToRORd_step_stimulus;
param.verbose = false;
param.stimAmp = -53;
options = [];
beats = 100;
ignoreFirst = beats-1;
celltype = 'endo';
X0 = getSt... |
59cb37279f10f3563833b8c712761b1359f74ebe862334efb285a619c21a3700 | MATLAB | 2,220 | 1 | function [codes_out] = TSdeclareeventcodes( )
% TSDECLAREEVENTCODES Loads current Event Codes into the global workspace
% Loads the Event Codes into the global workspace, declaring global in
% caller and base.
%
% - First checks the experiment structure for Experiment.Codes
% - If codes are found, aka struct ex... |
c3958772395222410b622f0c7ec472d5d9cffc2c03e28d5266fd7a470bd8ef47 | MATLAB | 2,220 | 75 | function [cr,ci,pw_wins] = mcidentification(simmat,labels,ncandidates,nrepetitions)
% mcidentification -- perform multiclass identification from similarity matrix
% function mcidentification(simmat,labels,ncandidates)
%
% [Inputs]
% -simmat: Similarity matrix [pred x correct]
% -labels: index matrix
% -ncan... |
425e03ab4fdb7dff13047775d2a0e2453e390da2e7e4194ffa0ccc6841d95181 | MATLAB | 2,221 | 48 | function [time_vs_session time_vs_session_all] = display_feature_dTvsdS_mean(var1,varT,varS,newfig,rev_color,showplot)
color_test1 = cbrewer('seq','YlGnBu',100); % colormap for corr
color_test2 = color_test1(end:-1:1,:);
for mouse = 1:length(var1)
clear time_vs_session_matrixes
% Time from onset fir... |
623fd45d7247361eebaa92bf460caacec98cbf9a5f66894cff88ace5b942faf6 | MATLAB | 2,222 | 91 | function sa=prepare_sourceanalysys(clab,para);
% creates a structure needed for source analaysis
% usage: sa=prepare_sourceanalysys(clab,para);
%
% input:
% clab is a list of N channel names (clab{1} ... clab{N})
% all channels have to be EEG channels and the names must
% be known to this program. (load cla... |
6e26b6a70d8a580748f72029e2d53214b85fb58b5cde267507132be7860fdb6f | MATLAB | 2,222 | 65 | function [X,Y,Z,hC] = modsel(label,inst)
% Model selection for (lib)SVM by searching for the best param on a 2D grid
% example:
%
% load heart_scale.mat
% [X,Y,Z,hC] = modsel(heart_scale_label,heart_scale_inst);
%
% where X,Y,Z are the contour data and hC is the contour handle
%PMTKurl http://agbs.kyb.tuebing... |
aa9ad1dbecab23ac64c9414500147da9012c8f54b8418dad3a5b2d452069290a | MATLAB | 2,222 | 43 | function D = dijkstra( G , S )
% --------------------------------------------------------------------
% Mark Steyvers, Stanford University, 12/19/00
% --------------------------------------------------------------------
%
% DIJKSTRA Find shortest paths in graphs
% D = dijkstra( G , S ) use the full or spar... |
d3f9faa6c9cdbb71b961a24bd12485e65474d781c186dcc69ae89ac271c95219 | MATLAB | 2,222 | 70 | function M = dimindex(A,dim,idx)
% DIMINDEX makes a selection from a multi-dimensional array where the dimension is
% selected by a scalar, not by the place between the brackets.
%
% Use as
% M = dimindex(A,dim,idx)
%
% The purpose of the function is shown by the following example:
%
% A(:,:,:,23,:,:,...) is the sam... |
f1541dd51f35d8b9ec0589977c7e1a14ce81189d867fcf6850f37692c34012cc | MATLAB | 2,222 | 63 | %% Matrix Triangle Up/Down Difference
% The difference in the sums of the upper and lower matrix diagonals.
% If sdo is more than 2 dimensional, assume dim 1 and 2 comprise an array,
% with the 3rd dimension serving as a stack iterator
%
% If matrix is 3D, assume dimensions 1 and 2 comprise the square matrix,
% ... |
f8d68d6ca828672cc88904dbbe9f7ee61fc46b974653bbc033b91949930bed17 | MATLAB | 2,222 | 102 | clear all % just clearing workspace
% define mean firing rate
Network_opts.meanspikebin = 1;
% define number of neurons
Network_opts.nneurons = 20 ;
% define number of bins
Network_opts.nbins = 10000;
% above define assembly membership
% line below sets neurons 1,2,3 and 4 to be in assembly 1
Assembly_opts.assembl... |
0989cff0ce865c1654f45a8fa2393736d54280f5a001f1268ed1218f88a4c776 | MATLAB | 2,223 | 76 | function [f, gridx1, gridx2] = ksdensity2d(x,gridx1,gridx2,bw)
% KSDENSITY2D Compute kernel density estimate in 2D.
% F = KSDENSITY2D(X,GRIDX,GRIDX2,BW) computes a nonparametric estimate
% of the probability density function of the sample in the N-by-2
% matrix X. F is the vector of density values evaluated at the poin... |
3ababeb55e4ad7e211f266c7549a540903ed451859d405c805e8bb9ac6d2172c | MATLAB | 2,223 | 72 | function [varargout] = ptriproj(varargin)
% PTRIPROJ projects a point onto the plane going through a triangle
%
% Use as
% [proj, dist] = ptriproj(v1, v2, v3, r, flag)
% 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
%
% the opti... |
4b571d1e720c4b2039a848f2aa028eedff753a39f49cb3c16dfb8476802c33e3 | MATLAB | 2,223 | 74 | function [periods,quiescence] = QuietPeriods(v,velocity,duration,brief)
%QuietPeriods - Find periods of immobility.
%
% Find periods of immobility, i.e. periods of sufficient duration
% where instantaneous linear velocity remains low. Brief movements
% can be ignored.
%
% USAGE
%
% [periods,quiescence] = QuietP... |
6d20d600360f621f3c5f6b495649c7a79de134586b2037af381ccfafc9c911aa | MATLAB | 2,223 | 75 | function otvect = trifilt(invect, nfw, ignoreNaNs)
% Modified by M. Heinz 04Jun2004
% Added an option (ignoreNaNs=1) to ignore NaNs within the window if not at center point
% e.g., helps to keep from losing dynamic range on rate-level curves with NaNs at HLs
%
% TRIFILT filters ROW-vector invect with triangular filter... |
16ad1a178db10fc19dacbc0117939ede86a87af745a017a03588e26bcb45ceaa | MATLAB | 2,224 | 69 | function varargout = mmToVoxel(XYZmm,M,varargin)
% Usage:
% XYZ = mmToVoxel(XYZmm,M)
% [XYZ,point_index] = mmToVoxel(XYZmm,M,'valid')
%
% XYZ is 3 vector point list, with XYZ assumed to be in ROWS if you input a
% list with 3 points.
% m is SPM mat - 4 x 4 affine transform (usually .M or .mat in a structure)
% (what's... |
3a2ebaefd0a5eeb2ec520b974677a51d6cecab34303907b4945996c38f418e23 | MATLAB | 2,224 | 66 | %% GSA_GetTotalSy_MultiOut_MultiSI: calculate the total sensitivity S of a subset of inputs
%
% Usage:
% [Stot, eStot, pro] = GSA_GetTotalSy_MultiOut_MultiSI(pro, iset, verbose)
%
% Inputs:
% pro project structure
% iset cell array or array of inputs of the considered set, they can ... |
a6792ed88fdd376dec9095192f50d751185ba5321a4a8b40c6d5a4279e606e6f | MATLAB | 2,224 | 67 | % Step 4: Keypoints and Descriptors
% This is the code that calculates the keypoints and descriptors at
% varying scale levels
%
% INPUTS:
% img is the image volume
% OUTPUTS:
% keys: a vector of structs that contain the keypoint and descriptors at
% all the various scales (blur sizes)
%
% Author: Daniel Goodwin dgo... |
f3335f0819863723abadd6bbd9a1e2ede0de4a2feb36e2fa6606760eb463485c | MATLAB | 2,224 | 77 | function [py, gridy] = VBA_empiricalDensity (y, pr)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [py, gridy] = VBA_empiricalDensity (y, pr)
% numerical derivation of the empirical distribution of y
%
% IN:
% - y: n x p data matrix. The histograms are derived along the columns of
% ... |
6d94e88e7137a6621e68c1f1260ad3052fc3695ea295fe0e3fc7599016be2608 | MATLAB | 2,225 | 86 | function varargout = dtype(varargin)
% Format
% For getting the value
% dat = dtype(obj)
%
% For setting the value
% obj = dtype(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id$
if nargin==2,
varargout{1} = as... |
f7369f61a60c024cee468102f7e2f2294e1e0c20196d550a1b605505eab1222e | MATLAB | 2,225 | 77 | function data = read_asa_msr(fn)
% READ_ASA_MSR reads EEG or MEG data from an ASA data file
% converting the units to uV or fT
% Copyright (C) 2002, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: you ca... |
6d90883a04b83f42ad8c5e5f2ba9a9e2ca58b67427c82647938e418b59c42471 | MATLAB | 2,226 | 73 | %%
% spacing needs to be very fine for the spread of the propagation to be
% enough to simulate a reasonable LED distribution
%% 150um weights, 150um emitter
plotf = 0;
params = [];
params.N = 2*4096; % image size
params.lambda = 0.5;
params.D = 2.5e-6;
params.n = 1;
params.ledSize = 150e-6;
params.ape... |
92234a6fccdf1edd6d93f85cd7ca7fe21a301f775c38d71e3c44fe577f5f1644 | MATLAB | 2,226 | 82 | %% Illustration of the bias variance trade off as we vary the L2 regularizer.
%
%%
% This file is from pmtk3.googlecode.com
function biasVarModelComplexity
setSeed(0);
n = 25; d = 1;
lambdas = [exp(5),exp(-5)];
ndataSets = 100;
showNsets = 20;
%f = @(x) sin(2*pi*x);
f = @(x) cos(2*pi*x);
domain = (0:0.0005:1)';
fs =... |
7fade561c7d48bfa8048d408df555f681a885dd38b4bf0661b1d6727ed92c4b3 | MATLAB | 2,227 | 63 | function [y_interp, upsample_Fs] = sincInterp(y, Fs, cutoff_Fs, upsample_Fs, varargin)
%
% usage: [y_interp, upsample_Fs] = sincInterp(y, Fs, cutoff_Fs, upsample_Fs, varargin)
%
% INPUTS:
% y - the original signal
% Fs - the original sampling rate
% cutoff_Fs - the cutoff frequency of the anti-aliasing filter... |
8b546fb3b8dfb6da35d4299799a2869edd63220a54631d74383f1763458694cc | MATLAB | 2,227 | 60 | function reactToImageChangesInFig(target_images,h_caller,deleteFcn,refreshFcn)
%reactToImageChangesInFig sets up listeners to react to image changes.
% reactToImageChangesInFig(TARGET_IMAGES,H_CALLER,DELETE_FCN,REFRESH_FCN)
% calls DELETE_FCN if any of TARGET_IMAGES are deleted and calls the
% REFRESH_FCN if the ... |
30c234a2107497ff38bf2ed87804508725e6c9fd340d8b4c96aaa0442bf2c0e6 | MATLAB | 2,228 | 59 | function J = imPad( I, pad, type )
% Pad an image along its four boundaries.
%
% Similar to Matlab's padarray, with the following differences:
% (1) limited to padding along height and width
% (2) input format allows for separate padding along each dimension
% (3) padding values may be negative, in which case perfor... |
ae13457c913770ce9b7b6653e488f06ff9b7b8de1fd5d87ae5aa305df18f4a09 | MATLAB | 2,228 | 62 | function [Kernel, features, D] = build_kernels_nostates(datadir, hmmdir, kerneldir, HMM_name, Fn, Kn)
% [Kernel, features, D] = build_kernels_nostates(datadir, hmmdir, kerneldir, HMM_name, Fn, Kn)
%
% build kernels from HMMs using only transition parameters (no state parameters)
% (wrapper for hmm_kernel)
%
% Input:
%... |
bc976574eaf330720baf4d9c5957fbac8235622ab3045fa7767828237de359f5 | MATLAB | 2,228 | 63 | %% SAT - app_input::
%% getXtDAtaFromDirectory
% Name: Phone Kyaw
% Date: 09/19/2024
% Description: Get XT data from multiple XT files
% Parameter: xt_files - A cell array containing files' path
% Return Value: xt_cell - Nx2 cell array where the {1,1} contains the header
% ... |
bf41cf7a855ba0637524f375b71443b7a8842f3cac04c226bf78b1a09bacd48f | MATLAB | 2,228 | 64 | function [nL1, L1] = commuteResidual(L0, px0, px1, vars)
arguments
L0
px0
px1
vars.method {mustBeMember(vars.method, {'V3', 'V5', 'V7'})} = 'V3';
end
% Take a (normalized) SDO (L0), and generate a prediction of Px1; Take the
% difference between the predicted and and observed Px1 (i.e., residuals)
% a... |
ce98d772c8b778b8e3e9dbbe72016277a867c0c1d56cc7909dae7e5068dcedfe | MATLAB | 2,228 | 63 | function h_openDiffFileInGrp3(handles, flag, syncFlag)
% flag can be 'next', 'previous', 'first', 'last'
global h_img3;
if ~exist('syncFlag','var')||isempty(syncFlag)
syncFlag = 1;
end
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
if isfield(currentStruct,'activ... |
049085e9872bc85575849243d6441f4b15f1d59122f25d9e5b3d719d7d9175df | MATLAB | 2,229 | 57 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This script selects a subset of links according to the chosen networks %
% and then, it organizes the adjacency matrices into links %
% %
% Author: ana.tr... |
05ec361814e1af777a0d879c17e32326a99f8af8674c126017b8473edc74aca1 | MATLAB | 2,229 | 100 | % 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,... |
fec472961398627400db4e8b3465e84e795835d034359fd9ac5489e4fadbd8ac | MATLAB | 2,229 | 72 | function [varargout] = ptriproj(varargin)
% PTRIPROJ projects a point onto the plane going through a triangle
%
% Use as
% [proj, dist] = ptriproj(v1, v2, v3, r, flag)
% 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
%
% the opti... |
1abe02032fc1b608cf158306e4da9ab01bca501a410d104ceaaf1869cad575c4 | MATLAB | 2,230 | 113 | function [hw,mu,sd,upper,lower,c]=ciestim3(x,rowcol,p,side,nan)
% ciestim -- estimate confidence interval
% function [hw,mu,sd,,upper,lower,c]=ciestim3(x,rowcol,p,side)
%
% [Input]
% -x:x vector[Nx1 or 1xN] or matrix[NxD]
% -rowcol:direction of calculation default=1(row)
% -p:confidence level (default = 0.... |
71bc0006498a4b7afa64f4dfb14ac18ce63fbd2324694084886ec80f88853585 | MATLAB | 2,230 | 67 | %% Demo of factor analysis in 2d
% Based on http://www.mathworks.com/products/demos/statistics/factorandemo.html
% PMTKneedsStatsToolbox factoran
% datasets in stats toolbox are listed here
% http://www.mathworks.com/access/helpdesk/help/toolbox/stats/bq9uxn4.html
%%
% This file is from pmtk3.googlecode.com
requireSt... |
7b46b473f879ff871ce2fa7866a96884b88833121f74e638cb797ca221fad0af | MATLAB | 2,231 | 83 | function [dat, volInfo, masked_vol] = iimg_mask(maskindx,dat,varargin)
% Masks index image vector or filenames in dat
% With img vector or filenames in maskindx
% * Checks dimensions to make sure origins and vox. sizes are same
%
% :Usage:
% ::
%
% [masked_indx, volInfo, masked_vol] = iimg_mask(maskindx,dat,[volInf... |
c7ec4358882a6f771e49d1741e6456bdd2c0c7de7d1d19470d5f598e06c34a3e | MATLAB | 2,231 | 92 | % 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 [msg,... |
d399a572fe1129f66367bb6ae5c5682ad61943ff4754814c10e56b2f5d037368 | MATLAB | 2,231 | 52 | function [Matrix] = y_WriteMat(Data,Header,OutName)
%function [Data, Header] = y_ReadMat(FileName)
% Read Mat file into 1D Data and Header. For use DPABI functions
% ------------------------------------------------------------------------
% Input:
% FileName - the path and filename of the image file (*.img, *.hdr, *.ni... |
1dc4b7fe5ffa91c8beb68a1d49d0214db64ff24fb0ce74654de16261f3c21959 | MATLAB | 2,233 | 69 |
% close all
clear
% SELECT THE MONKEY HERE: 'Monkey1' OR 'Monkey2'
Monkey = ['Monkey1'] ;
switch Monkey
case 'Monkey1'
Mon = 'monk1' ;
case 'Monkey2'
Mon = 'monk2' ;
end
load(['AllBehav_' Mon '.mat']);
TSPE = nanmean(SPE); sTSPE = std(SPE,0,1)/sqrt(size(SPE,1));
TSDE = nan... |
4b0ba8c211529ccc3c16503ac1b66d52b922c28aa4b5ca5afb15619cd8623809 | MATLAB | 2,233 | 55 | %% Generate csv files from PET data
addpath C:\Code\wjn_toolbox-master
addpath C:\Code\spm12
addpath(genpath('C:\Code\leaddbs'))
% Read atlas parcellation
region_info = readtable('HCPex (Huang 2021).txt');
region_image = ea_load_nii('HCPex (Huang 2021).nii');
% Parcellate input images
% input_images = {'D2_fallyprid... |
69b18594cdacc8a85e1e56a749453d7a32f4290c2eb13d1f739e555f6fca8873 | MATLAB | 2,233 | 75 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef Waveform < matlab.mixin.Heterogeneous
%WAVEFORM Container for single dimensional recorded sample data
%
% Channel: Source Location of the waveform
%
% Start: Tim... |
0f3d4521a369e245e191a2ba8f8c57383c91bdce88cfaf19960cb6a08e69f725 | MATLAB | 2,234 | 63 | function prov = hcp_provenance
% HCP_PROVENANCE returns a structure with provenance information
% Copyright (C) 2011-2014 by the Human Connectome Project, WU-Minn Consortium (1U54MH091657)
%
% This file is part of megconnectome.
%
% megconnectome is free software: you can redistribute it and/or modify
% it under the ... |
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