sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
4a1ada28387c468ddad8c60f47907fca0b74f01ae8aee7c2f921335ba11d2bfd | MATLAB | 857 | 31 | function [Zw, T] = whitenRows(Z)
%
% Syntax: [Zw, T] = whitenRows(Z);
%
% Inputs: Z is an (d x n) matrix containing n samples of a
% d-dimensional random vector
%
% Outputs: Zw is the whitened version of Z
%
% T is the (d x d) whi... |
782ebf897133f563b47481ae83415f4baebf6ba9b562a6f4c6db71ec5069c642 | MATLAB | 857 | 27 | function [Signal,State,Gwave,Trans,b] = InitialisationAmplitude(alpha,phi,E1,E2,Scenario)
%%
if strcmp(Scenario,'First')
%Initialise First Dictionary
%Obtain initialisation amplitude
Lrec=1-E1;
LtoL=E1.*cosd(alpha);
A=Lrec/(1-LtoL);
%Calculate rotation matrix
[rotMat] = EPG_Operator(alpha,ph... |
8e4dba0a82373ba66748a2dc6b93d561eb5a457e4f396e3c50740ea00fdb15b9 | MATLAB | 857 | 42 | % The values used in the latex pstricks figure
x11 = 5;
x12 = 3;
x21 = 7;
x22 = 3;
% Values for the tree in each region
r = 2:2:10;
% Create a mesh for X1 and X2
h = 0.1;
M = 10;
X1 = 0:h:M;
X2 = 0:h:M;
% The matrix to store the values of the tree
tree = zeros(length(X1),length(X2));
% The five regions - manually ... |
d71aaa843ac6262748b9a00ef55e545243e906ffde85276551c386240ed7c9d1 | MATLAB | 857 | 30 | function [familyBels, logZ, nodeBels] = dgmInferFamily(dgm, varargin)
%% Compute the beliefs for the family of every node
% Optional args are the same as for dgmInferQuery
%
% If requested, nodeBels{i} is the ith marginal, if the ith node has a local
% CPD, and empty otherwise, (used by dgmTrainEm).
%%
% This file is ... |
dcffdf93a82dde2f37674c57d5d5c39012e353d3f8f500a2fac41ec5da7c63fe | MATLAB | 857 | 32 | function [new_faces new_points]=boundfaces(points,tet,renumber_flag)
% boundfaces Find boundary faces from tetrahedral mesh
% bdy_faces = boundfaces(tet)
% if renumber_flag is not specified or if it's true then
% the returned faces and points are renumbered and
% the node numbers in 'new_faces' does not follow... |
f89a1441ed64b42e2443d3b72ef8f2d21e67c014d5a21157db1ee28ea67a2ffe | MATLAB | 857 | 20 |
function ImageArrayRegBC_NoStim = BleachCorrectArray(ImageArrayReg_NoStim, Vector_AllNoStim_GFPAvg, AllBoutonsRegion)
ImagesPerSequence = length(Vector_AllNoStim_GFPAvg);
NumOfSequences = size(ImageArrayReg_NoStim, 3) / ImagesPerSequence;
for SeqNumber=1:NumOfSequences
FirstIndex = (ImagesPerSequenc... |
50f1bbe449409e96cfcf53ae026db0ab755020db3b5d76e8c685e2ab540ea799 | MATLAB | 858 | 25 | fov = zeros(d1,d2);
figure;
imagesc(fov)
colormap(white)
hold on;
for assemblyCounter = 1:length(ICA_results.assemblyMembers)
%subplot(4,4,assemblyCounter);
%title(['Assembly' num2str(assemblyCounter)]);
color = rand(1,3);
for assemblyMembCounter = 1:length(ICA_results.assemblyMembers{1,assemb... |
51889b1cfe39646637e143b0512b7db6eb1391c4292355d27733b125d930ba92 | MATLAB | 858 | 40 | function voxels = mask2voxel(mask)
% convert from 3-D mask to voxel list in canonical orientation
%
% :Usage:
% ::
%
% function voxels = mask2voxel(mask)
%
% [i j k] = row, column, slice
%
% [x y z] in brain if brain is in analyze format
%
% (x is rows, y is columns, z is slices)
%
% ..
% Tor Wager, 10/17/01
%
%... |
bb04ab66bf35523592a7abc54136f8aa2fa68f1cedba3a89151a3df3eca88a5e | MATLAB | 858 | 29 | function mscmd_normalize_channels(input_path,output_path,opts)
%MSCMD_NORMALIZE_CHANNELS - Normalize each row (channel) to have unit variance
%
% This is a wrapper to the command-line mountainsort procedure. It has
% identical functionality to ms_normalize_channels.m
%
% Syntax: mscmd_normalize_channels(input_path,out... |
bfa1683be2210ed9d2bc6a8b5eb0d5875ef17ba2a758419a288ca519c7095a91 | MATLAB | 858 | 35 | %% Demonstration of the Central Limit Theorem, based on Bishop 2.6
%
%%
% This file is from pmtk3.googlecode.com
function centralLimitDemo
samples = 100000;
bins = 20;
N = [1 5 10];
for i=1:length(N)
figure(i);
convolutionHist(N(i),samples,bins);
printPmtkFigure(sprintf('cltBeta%d', N(i)));
end
%%
%Plot a... |
d00b62cb1f2a3bfda05f19530d746748edeedbb2537ea045b851142d96b8e02f | MATLAB | 858 | 29 | function [W, Z] = fisherLdaFit(Xtrain, ytrain, K)
% Optimal linear projection from D dimensions to C-1
% Xtrain is N*D, ytrain(i) is in {1,2,...,C}
% W is D*K, where K <= C-1
% Z is the project of Xtrain onto W, i.e. Xtrain*W
%%
% This file is from pmtk3.googlecode.com
C = max(ytrain);
if C==2
ndx1 = find(ytrain=... |
d14379366be2f77b2956132a1d5c92e12e394a1d37a873a703ebe023920a96c9 | MATLAB | 858 | 39 | function [V,Y] = readVol(fname)
V = spm_vol(fname);
visstruct = false;
if nargout > 1
if isstruct(V)
visstruct = true;
V = {V};
end
for i = 1:length(V)
Y{i} = spm_read_vols(V{i});
for j = 1:length(V{i})
V{i}(j).dt = [16 0]; %cast structure to FLOAT32 so we... |
e50e0020c9e19a337e0c23161c64f4e42fc380805027f24f71d82edd73e7f48e | MATLAB | 858 | 26 | function [theta_o,phi_o] = refract_ray(theta_i, phi_i, theta_n, phi_n, n1, n2)
x_i = [sin(theta_i).*sin(phi_i),sin(theta_i).*cos(phi_i),cos(theta_i)];
x_n = [sin(theta_n).*sin(phi_n),sin(theta_n).*cos(phi_n),cos(theta_n)];
% Compute the dot product between the incident direction and the norma... |
1617f2ebcad1eeab87ee7a03df84158ec6325a66054c69574dcb782855be70c7 | MATLAB | 859 | 31 | function [indexout]=contiguousframes(index,nframes)
% contiguousframes: takes a binary index and locates contigous sections
% that are at least nframes long
%
% Input:
% index: binary index
% nframes: min number of contigous frames you wish to have
%
% Output:
% indexout: new inde... |
2990915daf3b9bffdbd67323ec38e1cb4b566a62a515d2406eb65987261f246c | MATLAB | 859 | 31 | function [SNReff] = DWSE_SNREfficiencyOscillating(x,optSample,optScanner,tau,~)
%%
% calculates DW-SE SNR Efficiency
%
% input:
% x = array with diffusion gradient (mT/m) and repetition time (ms)
% optSample = T1 (ms), T2 (ms) & D (um^2/ms)
% optScanner = Maximum readout duration (ms) & Minimum time between end o... |
2d884eb707e80480f738b3a738e50508ee1debd893a162d2985426abd8e93a30 | MATLAB | 859 | 38 | %% Conjugate Function Lower Bound
%
%%
% This file is from pmtk3.googlecode.com
function conjugateFnExpLowerBound
f = @(x) exp(-x);
domain = 0:0.01:3;
xi = 1;
offset = 0.015;
t1 = @(x) -exp(-xi)*x + f(xi)+exp(-xi)*xi-offset;
t2 = @(x) -exp(-0.5)*x + f(0.5)+exp(-0.5)*0.5-offset;
t3 = @(x) -exp(-2)*x + f(2)+exp(-2)*2-... |
6a20e872178cdbe54f8ad23a9a4dca133aae373fc2b00d10f35ffdb69e3374ee | MATLAB | 859 | 18 | function [dim, options] = setPriors(options, dim, priorType,varargin)
switch priorType
case 'theta'
[options.priors.muTheta,options.priors.SigmaTheta, options.inF.thetaLabel] = feval(@priorUglyfier, varargin{:});
nTheta=length(options.priors.muTheta);
dim.n_theta = nTh... |
88bd9839d47a0eb9c7de3c56e241cbad0d56fc9e8f2ff30668479697875f76b1 | MATLAB | 859 | 23 | function correlation_coefficient = corrcoefNew(matrixA, matrixB)
% Check if the matrices have the same dimensions
if ~isequal(size(matrixA,2), size(matrixB,2))
error('Input matrices must have the same dimensions.');
end
% Calculate the coefficient
coef = 1/(length(matrixA(1,:))-1);
% Cal... |
d56320a5cad21f952c85e2be07a6bc91fc939395efe40b4f033ec47b674e8f96 | MATLAB | 859 | 33 | function Y = clfKnnFwd( clf, X )
% Apply a k-nearest neighbor classifier to X.
%
% USAGE
% Y = clfKnnFwd( clf, X )
%
% INPUTS
% clf - trained model
% X - nxp data array
%
% OUTPUTS
% Y - nx1 vector of labels predicted according to the clf
%
% EXAMPLE
%
% See also CLFKNN, CLFKNNTRAIN
%
% Piotr's Imag... |
09f3638e9141713772c36761607f2247f8d930850d52d5c32f8ab7d877caf2aa | MATLAB | 860 | 36 | function [gx,dgdx,dgdp] = g_DCMwHRFext(Xt,P,ut,in)
%- initializations
idX1 = 1:in.n5(end);
nreg=length(in.n5);
nresp=length(in.r);
gxr=zeros(nresp,1);
dgdxr=zeros(length(Xt),nresp);
dgdpr=zeros(length(P),nresp);
%== compute gradients
[gxn,dgdxn,dgdpn] = g_HRF3(Xt(idX1),P,ut,in) ;
for iR = 1:numel(in.sourceRespIdx)... |
15605ec3185cd8a2ac9bf3f61c8c88d7ff54861b2078a3f3b6049f0ff5439671 | MATLAB | 860 | 31 | % Event-triggered average of signal
function [avg, nEvs] = ev_trig_avg(event, signal, windowSize, varargin)
event(1:windowSize/2)=0;
event(end-windowSize/2:end)=0;
nEvs = sum(event); % n events
evIdx = find(event); %event times
avg = zeros(1,windowSize+1); %preallocation
x = -windowSize/2:1:windowSize/2; % x axis (... |
17632066f6ee53a670ff3ee221b46995a21f1cfef58d79b2facd71f49333b228 | MATLAB | 860 | 29 | function [Fastqstructs] = saveExSeqToFastQLike(transcripts,confidences,headers)
%SAVEEXSEQTOFASTQLIKE
% Write to standard sequencing format for analysis in FASTQC etc.
%initialize the fastq structs
Fastqstructs(size(transcripts,1)) = struct;
mapping_base = 'ACGT';
mapping_quality = '!"#$%&''()*+,-./0123456789:;<=>?@A... |
14102c5745f33126df25843db734db31c4ccae982c14ac85b142259090beebb7 | MATLAB | 861 | 28 | function egrad = essential_egradE2egrad(X, egradE)
% Converts the gradient in essential matrix E to the gradient in X.
%
% function egrad = essential_egradE2egrad(X, egradE)
%
% egradE is the function handle for the gradient in E.
%
% The output is a matrix in the space of X.
%
% See also: essential_costE2cos... |
359454cfc7db86d748b9cb34dbf16e390913a0e350527138a93278d8feaf45fa | MATLAB | 861 | 29 | function compute_aec(params,bidsID,freqBand)
% Load EEG data
data = load_preprocessed_data(params,bidsID);
% Band-pass filter the data in the relevant frequency band
cfg = [];
cfg.bpfilter = 'yes';
cfg.bpfreq = params.FreqBand.(freqBand);
data = ft_preprocessing(cfg, data);
% Load source reconstruction data
load(full... |
40ad61189b4cccd5f7472d6edb4e2d4242214981c5c533dc5f05c619a612c86b | MATLAB | 861 | 28 | function FiringBVC = firingBVC(RatX,RatY,Dist2Walls,OptD,OptA,SigAng,Beta,Sig0)
SigRad = zeros(size(Dist2Walls));
SigRad = Dist2Walls./Beta + Sig0;
TwoSigRadSqr = 2.*(SigRad.^2);
Step = 2/length(Dist2Walls);
Bearings = (0 : Step*pi : (2-Step)*pi);
TwoSigAngSqr = 2*(SigAng^2);
AngDif = zeros(size(Bearings... |
5af379be8c3b605edcb91c5b30cd1fd528e08cc2e3fa475b87ce996803be5540 | MATLAB | 861 | 19 | function plot_sectors(this_center, circle_rad, sector_endpoints, random_color_red_colony, theta)
num_sectors = length(sector_endpoints)/2;
sector_points = zeros(length(theta) + 2,2);
sector_points(1,:) = this_center;
sector_points(end,:) = this_center;
for this_sector = 1:num_sectors
sector_arc = linspace(se... |
5efaca3dc254d233d1284bded128282ae17fe7f4f90b4459822943c3d6ff6364 | MATLAB | 861 | 29 | function [] = violinPlots(data,yl,plotdist,plotLegend)
[f,~] = ksdensity(data,data,'Support','positive');
[f_dens,x_dens] = ksdensity(data,linspace(yl(1),yl(2),200),'Support','positive');
m_f = max(f_dens);
f = f./m_f;
x = (rand(size(data))-0.5).*f;
scatter(x,data,'k','LineWidth',1);hold on;
plot([-0.5 0.5],mean... |
79efa70de8e82b65d2bc6593d7e2eb7f07bfcde441e5528689c59202b9d1c7b9 | MATLAB | 861 | 32 | function Image_Crop=SmartCrop(Image,Crop_XCoords,Crop_YCoords)
Crop_XCoords=round(Crop_XCoords);
Crop_YCoords=round(Crop_YCoords);
ImageHeight=size(Image,1);
ImageWidth=size(Image,2);
ImageDepth=size(Image,3);
Fixed_XMin=Crop_XCoords(1);
if Fixed_XMin<1
Fixed_XMin=1;
e... |
8baca77cbc5670d14dc5d308302481a1345cba250d33cfbd134f7539f1e9c7c9 | MATLAB | 861 | 24 | function targetPresentationTimes = choosePseudoRandomTargetTimes(targetPeriodDur, nTargets, targetCushion)
if nargin==0
targetPeriodDur = 10;
nTargets = 1;
targetCushion = 1;
end
isi = targetPeriodDur/(nTargets+1);
possibleTargetOnsets = isi:isi:targetPeriodDur + targetCushion;
targetChoices = randperm(nu... |
d7c05d6fcbf2f2e7364d4bf76066ea97f688dbfb7c92a6e3d9bbfeb96c088205 | MATLAB | 861 | 30 | function [edges] = nodal_distance_tetrahedron(a,b,c,d)
% NODAL_DISTANCE_TETRAHEDRON Calcultes tetrahedron edges length.
%
% SYNTAX:
% [EDGES] = NODAL_DISTANCE_TETRAHEDRON(A,B,C,D)
% NODAL_DISTANCE_TETRAHEDRON(A,B,C,D)
%
% [EDGES] = NODAL_DISTANCE_TETRAHEDRON(A,B,C,D)
% - A, B, C and D - are m by 3 matrices of (x,... |
db794e069139e271bf6ec1c49b4cda5735a830f727b9c68bfa2fa3f41f99645c | MATLAB | 861 | 25 | function unit = ExportToUnit(spkDat, rat, date, trode, implantSide)
spkDat.waves = double(spkDat.waves);
[wL, ~, ~] = size(spkDat.waves);
wP = spkDat.wavePad;
wL = wL - 2*wP;
pts = (1:wL) + wP;
clustList = setdiff(unique(spkDat.id), 0);
for i = 1:length(clustList)
loc = find(spkDat.id == clustList(i));
unit(i)... |
7845b28bceb735d552a6095d80eb8f4d1b76797177092909129ef428c65cd2f8 | MATLAB | 862 | 32 | function ndx = greedySpan(set, subsets)
%% Greedily build up a set from a minimal number of disjoint subsets
% Example: greedySpan(1:10, {[2 3], [2 5 7], [1 4] [1 3 4 6 10], [8], [9]})
% will return indices [2, 4, 5, 6] in the subsets cell array
%
% If no solution can be found, [] is returned.
%%
% This file is from p... |
aca7236575c580243191dc3ce6ca0fccfdd02b1be3993db4b373b4bf8c1b5b8f | MATLAB | 862 | 21 | clear;clc;close all
params.RDIdef = 1; % 1: onset[100 200] offset[-100 0]; 2: [200 250] [250 300]
params.Win.early=[100 200];
switch params.RDIdef
case 1
params.Win.late=[-100 0];
params.Win.RDIearly = [100 200];
params.Win.RDIlate = [-100 0];
case 2
params.Win.late=[200... |
bc63251002951f275590a503154c7c93f788b2bbc6240bdb47f65c3b8459c722 | MATLAB | 862 | 31 | function [f, xsp] = lan_cspd_mt(LAN, chn1, chn2, tapers, nomean)
%***************DEPENDENCIES***************
% - mtfftc (chronux toolbox)
% - dpsschk (chronux toolbox)
if nargin < 5
nomean = false;
end
if LAN.trials == 1
disp('Se requiere señales segmentadas')
f = [];
xsp = [];
else
N = LAN.pnts(1... |
ddcd5d2396d1f8237c11a43a443c553557a5b491ac9cd29bc558266bb1ffebe6 | MATLAB | 862 | 25 | function [ fout, J] = nakarushtonbase( params, x )
%LOGISTICFUN evaluates modified logistic with params at x
% Detailed explanation goes here
%==========================================================================
%define inputs
x = x(:);
Rmax = params(1);
n = params(2);
kappa = params(3);
b ... |
32f81e5651d180201d8feccae2c5102542b81e06b4e85dbacce441d785e25d8d | MATLAB | 863 | 39 | %% Bayesian Probabilistic PCA Imputation Demo
% Reproduce Bishop fig 12.14
% Needs BPCAfill package from http://hawaii.sys.i.kyoto-u.ac.jp/~oba/tools/
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
%n = 100;
n = 300;
d = 10;
%sigma = [5,4,3,2,1*ones(1,6)]; % ICANN'99
sigma = [1,1,1,0.5*ones(1,7)]; % book ... |
38194b6a45297b3a3fd95ed53c707f9ac1da7dd3c0012c6a60d86b38c021f1d0 | MATLAB | 863 | 19 | function prec_ssc(input_fn,ref_fn)
for i = 1:numel(input_fn)
matlabbatch{1}.spm.spatial.coreg.write.ref = {ref_fn};
matlabbatch{1}.spm.spatial.coreg.write.source = {input_fn{i}};
matlabbatch{1}.spm.spatial.coreg.write.roptions.interp = 4;
matlabbatch{1}.spm.spatial.coreg.write.roptions.wrap = [0 0 ... |
7a9ddb12ccc07fcca1b93588dba6289e9e47cfeef5236c16eb239126e346ccfe | MATLAB | 863 | 37 | check_active_images;
for kk = ind_active,
if ~exist(['x_' num2str(kk)]),
fprintf(1,'WARNING: Need to extract grid corners on image %d\n',kk);
active_images(kk) = 0;
eval(['dX_' num2str(kk) ' = NaN;']);
eval(['dY_' num2str(kk) ' = NaN;']);
eval(['wintx... |
cee8e05107e666f48366a396acecfbff86b20ba90251e3c0b4333d83168e71d3 | MATLAB | 863 | 28 | function S=capitalize(S,skipset)
%function S=capitalize(S)
% Capitalize the first character in every word (excluding short words) in input
% string S, or in every word in every string in input cell array S. The first word
% is always capitalized.
%
% Default set of words to skip is {'a','an','and','or','in','th... |
4b362134b734628060c2cc68cabe9e1b6a5cd2f5107ef1eeaf2d0742406dcd0f | MATLAB | 864 | 30 | function s = catString(c,delim)
% Convert a cell array of strings to a single concatinated string
% i.e. single-row character array). The specified delimiter, delim, is
% added between each entry. Include any spaces you want in delim. If delim
% is not specified, ', ' is used instead. If c is already a string, it is
% ... |
90606803c5303c86cd23a17b47f0afcaff0fc2b5cb75fed0c2c4b323f69316ba | MATLAB | 864 | 23 | % Geometric Distortions Correction - merge volumes to compute topup
data = dir('/DATAPOOL/ERRORMONITORING/SEM_mri_data/P*');
%%
for i = 1:size(data,1)
data_func = dir([data(i).folder, '/', data(i).name, '/mri/SEM_', data(i).name, '/nifti/func/run*']);
fprintf(data(i).name);
for j = 1:size... |
a992ca8c86352b24467cabeb4f3644b2e71b9cf9ee28b7eac11021b0dbfe33e7 | MATLAB | 864 | 33 | % Copyright Christopher Fricke, University Leipzig Medical Center,
% Neurology 2024
srcf1 = 'data\prep';
srcf2 = 'data\prep\coreg_indiv\datscan_normalized';
% klinische Daten laden
[~,~,r] = xlsread(fullfile(srcf1,'clinicaldata.xlsx'));
% Indices of interest
binds = 4;
% Datensatz vorbereiten
pats = {}... |
af5ea7e1db4b59c9b93423ded398007a07b7569c4c4b2bf029ffaa79ec744a80 | MATLAB | 864 | 20 | % Get the -3dB cutoff frequency value using filtfilt.m
%
% WARNING: For working with filtfilt.m function!
%
% filtfilt result has the following characteristics:
% a) Zero-phase distortion
% b) A filter transfer function, which equals the squared magnitude of the original filter transfer function
% ... |
110c6090e5b4fc6e2d87cb3d261fda6476cb1cc9b5ecf9e9e00bb53fdda00d4e | MATLAB | 865 | 37 | function [nbrs, sepSets] = computeNeighbors(cg)
%% Compute the neighbors, for each clique
%
%% Input
%
% cg - a cliqueGraph see cliqueGraphCreate
%
%% Output
%
% nbrs - cliques(N{i}) are the neighbors of the ith clique, i.e. the
% cliques whose domain overlaps with clique i.
%
% sepSets ... |
64852872ab83289468aa186eaa7736f3fc37ad2609ed3f899b1167038330f2d3 | MATLAB | 865 | 23 | function X = redistribute(X,mode)
%REDISTRIBUTE Distribute lambda values to a specified mode.
%
% K = REDISTRIBUTE(K,N) absorbs the weights from the lambda vector
% into mode N. Set the lambda vector to all ones.
%
% See also KTENSOR, NORMALIZE.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% T... |
7aca6a0d2671e835f6cacc6540294948971b41d954d39191e5cf1ef49cee8f29 | MATLAB | 865 | 19 | %% 非线性特征 | nonlinear features
%% Mean teager energy (MTE)
% X: single channel EEG signal (either a row vector or a column vector)
% See also:
% feat_ShannonEntropy, feat_LogEnergyEntropy, feat_TsallisEntropy, feat_RenyiEntropy, feat_MeanEnergy
%% Reference
% [1] Şen, B., Peker, M., Çavuşoğlu, A., and Çele... |
996ccf7d898962dcfa8ef64d1164e5cc82a4f98fd39ab2545942d25cd815ae6b | MATLAB | 865 | 38 | function [X,idx] = cellcat(C, dim)
%CELLCAT Unpacks and concatenates a cell array. Shorthand for: cat(dim, C{:})
% Usage:
% X = cellcat(C)
% X = cellcat(C, dim)
% [X, idx] = cellcat(_)
%
% Args:
% C: cell array
% dim: dimension along which to concatenate (default = 1)
% if empty, finds first dimension a... |
c221d241af5fde96191541df6b32ddc7e30ec7c27fad4ce99cbb11b93e287d8a | MATLAB | 865 | 23 | % Plot fig 9 of Blei'03, "latent dirichlet allocation"
x = [1,3,8,20,50,100,200];
unigram = [5800, 5800, 5800, 5800, 5800, 5800, 5800];
mix_unigram = [5150, 4900, 3950, 3850, 3650, 3675, 3700];
LDA = [5200, 4850, 3800, 3450, 3250, 3100, 3050];
pLSI = [6750, 6500, 6250, 5600, 4600, 4250, 3450];
figu... |
f700077847b2a5cc46fbe87df1e33af28c2438292318d8f80f8bd3ead9b7c52c | MATLAB | 865 | 32 | % crabsort plugin
% plugin_type = 'dim-red';
% plugin_dimension = 2;
%
% _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% this is a plugin for cr... |
4cd8ccfde157dab4a52b8d691b6ab1eadd86929dfdf3fb66f62bcafb1745ab07 | MATLAB | 866 | 16 | function result = localFileExistsAndIsNonempty(file_name)
% Force NFS attribute cache refresh by listing the parent directory before
% checking the file. Without this, exist() can return stale "not found"
% for up to acregmax seconds (typically 30-60s) after a remote process writes
% the file -- causing false ... |
8596376b164112f1a32cc1cae13b84e23d9655f2b1dbf75631d751e20e651bb8 | MATLAB | 866 | 40 | function [varargout] = test1(ik,npu,norder,iker)
radii = [1.0;2.0;0.25];
scales = [1.2;1.0;1.7];
nu = npu;
nv = npu;
nosc = 5;
if(ik == 1)
zk = 0.97;
else
zk = 0.97*nu/10;
end
fname = ['diary_ik' int2str(ik) '_np' int2str(npu) '_norder' int2str(norder) '_qtime.dat'];
diary(fname);
S = wtorus(radii,scales,nosc,... |
891412e17b7d6d5c7e94e71f3e38dc5ae8c0456da0fb7ee2f0b9c019d63826dc | MATLAB | 866 | 33 | function matches = dir_ext(path, extensions, return_paths)
%DIR_EXT Returns files in a directory with the matching extension.
% Usage:
% matches = dir_ext(path, extension)
% matches = dir_ext(path, extensions) % cell array of strings
% matches = dir_ext(path, _, true) % returns full paths
%
% Note: The leading '.... |
e57d50255048a82c6414b99ad3af082a38584df51375e1093607b6d034831701 | MATLAB | 866 | 22 | function e = GetSORWSite(x0,indNeigh,p,n)
% x -> state of this node
% neigh -> col vector: list of neighbor indices of this node
% p -> col vector: connection weight between this node and each neighbor in neigh list (probability of taking a step)
% n -> col vector: number of steps from this node to each... |
1626881c8e06011ebe90db7a1e9a23aad641d33c153762997893b27b9080f307 | MATLAB | 867 | 32 | %% Compute the full L1 regularization path for a classification
% version of the prostate data set
% This file is from pmtk3.googlecode.com
clear all
if ~glmnetInstalled
fprintf('cannot run %s without glmnet; skipping\n', mfilename());
return;
end
load prostateStnd
mu = mean(y);
y = (y>mu); % dichotimize
[N,... |
755f28ed7858c264f5a11445e80b1c4ba46f60f030f0d30fed61fe79bd2e1ceb | MATLAB | 867 | 37 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Settings file for MATLAB PREP pipeline %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Important filenames and paths
sep = '/';
filename = 'S004R01.edf';
montage_name = 'standard-10-5-cap385.elp';
package_dir = 'deps';
artifact_dir = 'artifacts';
eeglab_path ... |
8690a73abe0726993ca965b14c56403caad8b1a7b4b44f1a66ed446e1ea384f9 | MATLAB | 867 | 24 | function candoit = canGetApproxHessian(problem)
% Checks whether an approximate Hessian can be computed for this problem.
%
% function candoit = canGetApproxHessian(problem)
%
% Returns true if an approximate Hessian of the cost function is provided
% in the given problem description, false otherwise.
% If a Hes... |
e0150037a2ea5fb34e568b707394030f28f986987a217264e9d3897b7749252c | MATLAB | 867 | 27 | % GAUSSPDF Normal probability density function.
%
% This is a compatibility wrapper for NORMPDF in case MATLAB's Statistics
% Toolbox is not available.
%
% Y = GAUSSPDF(X) returns the probability density function (PDF) at X of the
% standard normal distribution.
%
% Y = GAUSSPDF(X,MU) returns the PDF at... |
5040c9249e1525a0810c72edc29161adf7d64d1fb9b01f51a21fa1c9aa7296a9 | MATLAB | 868 | 30 | %% Load the tiny images from file
clear all;
saFlag = imread('saFlag.jpg');
saFlagGray = rgb2gray(saFlag);
figure; imagesc(saFlag);
figure; imagesc(saFlagGray); colormap(gray);
matlabIcon = imread('matlabIcon.jpg');
matlabIconGray = rgb2gray(matlabIcon);
figure; imagesc(matlabIcon);
figure; imagesc(mat... |
60f5bcced3f4061435c17eacab98a585d758be780594e78c15ac30f047e6c660 | MATLAB | 868 | 32 | %% Forwards Backwards Algorithm Demo
% This file is from pmtk3.googlecode.com
K = 3;
%initDist= [1 0 0]'; % start in state 1
initDist= normalize(ones(3,1)); % could start anywhere
% Left to right HMM 1->2->3 where 3 has a self-loop with prob 1
% So stationary distribution of the unobserved chain is [0 0 1]
p = 0.9; ... |
77240af2722a2caf3151ab14cb01026d7f0a0b84a61aae4f68af3152847af4cd | MATLAB | 868 | 30 | function option = VBA_check_struct(option, varargin)
% compare and fill-in input structure with default structure
if isempty(option)
option = struct();
end
if numel(varargin) == 1 && isempty(varargin{1})
% if nothing given, do nothin
return;
elseif numel(varargin) == 1 && isstruct(varargin{1})
% defau... |
934906a83e182cea8b21c0d9af165c6d4abcf09a4e47ccebdd603eedb643b641 | MATLAB | 868 | 23 | function scoreFeatures= ...
replaceScoreFeatureClassifierFileNames(scoreFeatures, ...
scoreFeatureMatFileNames, ...
scoreFeatureJabFileNames)
% scoreFeatures a 1xn structure array with fields:
% classifierfile: the name of the classi... |
c0c39ea1853f3a909da477b995be9017cb1a6d6f55789c95108e56875e70df70 | MATLAB | 868 | 40 | function res = bmmFit_1(con,lb,ub)
rng default
nIter = 5; %number of initial search conditions
%param vector = [mu sd]
if ~exist('lb','var') || isempty(lb)
lb = [0 0]';
end
if ~exist('ub','var') || isempty(ub)
ub = [1 400]';
end
ubSet = [1 100]';
maxfeval = 10000;
options = optimset('TolX',1e-8,'maxfuneval... |
d801e475847ae07997958eb42a3716b0e2db54dde7ec330d6a505f138abca221 | MATLAB | 868 | 35 | function ldQ = VBA_logDet(Q,indIn,t)
% computes the log-determinant of matrix Q
% function ldQ = VBA_logDet(Q,indIn,t)
% IN:
% - Q: nxn matrix
% - indIn: vector of indices that defines a submatrix of Q, whose
% determinant is computed {1:n}
% - t: threshold on the eigenvalues of the submatrix {eps}
% OUT:
% -... |
5db447ee8c10f0f51e253c968d748f7d6d5c9e537fdbdb6a1092f6db89672449 | MATLAB | 869 | 25 | function [cropped_indices,cropped_logical] = crop_in_time(data_matrix,timestamps,track_num)
% data_matrix should be arranged with each column is a variable
% corresponding timestamps
figure;
max_trace= 0;
for i=1:size(data_matrix,2)
plot(timestamps,data_matrix(:,i)+ max_trace); hold on;
max_trace= max(data_mat... |
8d76169f5a57653fb6dd3c3d83897e2ba01e1cac454fca385188e73abc5f535a | MATLAB | 869 | 20 | function afxLnmMean(input,output)
if exist(output,'file')
fprintf('afxLnmMean: %s already exists.\n', output)
else
[pth,name,ext] = fileparts(output);
if ~exist(pth,'dir'), mkdir(pth); end
matlabbatch{1}.spm.util.imcalc.input = input;
matlabbatch{1}.spm.util.... |
ded3e558f2d7f2059d99cad56ddcd55b88054e9ae5ac06276896d880e24c82af | MATLAB | 869 | 39 | %% Posterior Predictive Distribution for Beta-Binomial model
%
%%
% This file is from pmtk3.googlecode.com
N = 10;
N1 = 4;
N0 = 1;
xs = 0:N;
%% Prior Predictive
prior.N = N;
prior.a = 1; % 2;
prior.b = 1; % 2;
priorPred = exp(betaBinomLogprob(prior, xs));
figure;
bar(priorPred);
set(gca,'xticklabel', xs);
title('... |
197d8cbdea1b1f241d2ea09e77e0c599e00342e4bf93ce769d1afa401a242289 | MATLAB | 870 | 27 | % Author: Birgit Nierula (May, 2020)
% nierula@cbs.mpg.de
%% Define individual interpolation windows
% This script follows SRMR1_01_prepro_3_removeDoubleDetections.m
srmr_nr = 1;
ana_dir = '/data/pt_02068/';
cfg_path = [ana_dir 'analysis/manuscript_sep/scripts/cfg_srmr1/']; % here is important info for the analysis... |
221aa85407069e69303049edbf7369bba46a214227b05af235942257509defcf | MATLAB | 870 | 1 | function [f,g,H,T] = autoTensor(x,useComplex,funObj,varargin)
% [f,g,H,T] = autoTensor(x,useComplex,funObj,varargin)
% Numerically compute Tensor of 3rd-derivatives of objective function from Hessian values
p = length(x);
if useComplex % Use Complex Differentials
mu = 1e-150;
diff = zeros(p,p,p);
for j =... |
50f2bdc9a0557290c0836711b1a5a8809fb8b45a14d30a698b8217209892324d | MATLAB | 870 | 48 | %% Linear Regression L1 Fit Test
%%
% This file is from pmtk3.googlecode.com
function linregFitL1Test()
%% Make some data
setSeed(0);
N=100;
%N=20;
D=50; % dinensionality
rho=.5;
correl=zeros(D,D);
for i=1:D
for j=1:D
correl(i,j)=rho^(abs(i-j));
end
end
X=randn(N,D)*chol(correl);
% true weight vect... |
5fea78f596d14b6353a8221f2be6e713d7c2fd271df9c8d54204d818fd895ec7 | MATLAB | 870 | 23 | % ELE_AREA_C Calculates FEM mesh elements area (2D - triangles) or volume
% (3D - tetrahedra).
%
% SYNTAX:
% [AREA] = ELE_AREA_C(NODES,ELEMENTS)
%
% [AREA] = ELE_AREA_C(NODES,ELEMENTS)
% AREA - is m by 1 vector of m FEM mesh elements area (2D) or volume
% (3D), expressed in the input units squared (2D) or q... |
5c08f86766f1037b5300f050d4e0337693b86d1fc314784cfa2757ca8061264e | MATLAB | 871 | 15 | function test_ratcity_MA_magrone_nocrop_training()
linux_project_file_path = '/groups/branson/bransonlab/apt/unittest/ratCity_round12_movie_size.lbl' ;
[project_file_path, replace_path] = localize_test_project_path(linux_project_file_path) ;
% backend = docker_unless_janelia_cluster_then_conda() ;
backend = 'bs... |
096b3b55497911761239fd290e5c2feb36cc208b8a3d4f5af8792a0a8a046b32 | MATLAB | 872 | 30 | function options=get_default_options()
options.mask_volume_ICA = 1300; %mm3
options.mask_volume_CCA = 25000;%30000;%22500;%mm3
options.mask_volume_SSS = 4790; %mm3
% options.nvoxs_ICA = 80;
% options.nvoxs_CCA = 1400;
% options.nvoxs_SSS = 300;
options.selected... |
596472a2a9617ae8eff21e8a60733ed971bfc71e2ede0b9c19c642717aa24ab6 | MATLAB | 872 | 28 | function eegByWindow = EEGSplitByWindow(data, times, windows)
% function eegByWindow = EEGSplitByWindow(data, times, windows)
% Split the EEG data by time windows, for taking SD across time within a
% window
% Inputs:
% data = EEG data [chans, time, bin, pp, ses, trial]
% times = [1 N] vector of times
% windows =... |
d04346c4f5a7f1c5a82376548477922f62d3f0c29a9f115f7e18e0152f0ec556 | MATLAB | 873 | 29 | %% Multi-class logistic regression on iris data
% This file is from pmtk3.googlecode.com
loadData('fisherIrisData')
X = meas; % 150x4
[y, support] = canonizeLabels(species);
pp = preprocessorCreate('standardizeX', false, 'addOnes', true);
% MLE
model = logregFit(X, y, 'lambda', 0, 'preproc', pp);
[yhat, p] = logre... |
2667826761c048ddd6f5e2e64fde69e83d3420c912875d2f106da0627369943b | MATLAB | 874 | 41 | %% Sensor Fusion Demo 2D
%
%%
% This file is from pmtk3.googlecode.com
function sensorFusion2d()
Sigmas = {0.01*eye(2), 0.01*eye(2)};
helper(Sigmas)
printPmtkFigure('demoGaussBayes2dEqualSpherical')
Sigmas = {0.05*eye(2), 0.01*eye(2)};
helper(Sigmas)
printPmtkFigure('demoGaussBayes2dUnequalSpherical')
Sigmas = {0... |
32c4e14365ef85728e173676fa044742113227ed6aacd733ea5cc478fa2ddca3 | MATLAB | 874 | 26 | function fx = f_HGFinGame(x,P,u,in)
% HGF-learner in a dyadic game
% function fx = f_HGFinGame(x,P,u,in)
% HGF stands for "Hierarchical Gaussian Filter" (cf. Mathys et al. 2014).
% In a dyadic game, HGF tracks P(o=1), i.e. the probaiblity that the
% opponent choses the option o=1 [see f_VBvolatile0.m].
% IN:
% - x: t... |
6ac922545985ad25b49309d7761184fe57700addcdf1e9b4189c2205be522686 | MATLAB | 874 | 28 |
function interp_times = fill_in_missing_timestamps(timestamps,distances)
% given a set of incomplete timestamps (such as thosed used for syncing),
% and a set of distances between an independent timestamp source
% (distances), fill in the missing timestamps.
% example
% sync_ts = digitalIn.timestampsOn{1, 7}; % fro... |
953376dcc04ec4a33111f9b9209c7ccd234f2a2aa22509e78904e2e946981fcd | MATLAB | 874 | 32 | function mat = NavPrefsNewMat()
mat = cell(1, 3);
mat{1} = struct();
mat{1}.active_h = [];
mat{1}.taginfo = struct;
mat{1}.taginfo.figure = 2;
mat{1}.taginfo.text = 9;
mat{1}.taginfo.popupmenu = 5;
mat{1}.taginfo.edit = 6;
mat{1}.taginfo.pushbutton = 3;
mat{1}.taginfo.uipanel = 2;
mat{1}.override = 0;
mat{1}.release =... |
eea6e93a63922c8958a4dd75da047f34268ecbeaec2fc7171ea861270c6d9c2b | MATLAB | 874 | 34 | function out = wrap(f, out_indices)
% out = wrap(f, out_indices)
%
% If you've ever needed multiple outputs from a function wrapped up in a
% cell array, you may have felt it was a bit awkward to accomplish without
% doing something like this:
%
% [a, b, c] = f(...)
% x = {a, b, c};
%
% That's not always desirable.
%... |
15addacefd2ca41cd342a3fd40b5765d87057672aafb9dbbef5bb6ae58d016a1 | MATLAB | 875 | 29 | function [vnew, fnew]=patchslim(v, f)
% PATCHSLIM removes duplicate vertices in surface meshes.
%
% This function finds and removes duplicate vertices.
%
% USAGE: [v, f]=patchslim(v, f)
%
% Where v is the vertex list and f is the face list specifying vertex
% connectivity.
%
% v contains the vertices for all triangles... |
95a9bef1c9aca25210e4b89017daf480ee449d3185f5d1e06725ef939307798f | MATLAB | 875 | 33 | %% Phase locking value for ripple band
for q=1:64
q
LowGammaData_70_100(q,:) = bandpass(LFPRawAll(q,:),[70,100], DecFS);
end
for chan = 1:64%length(good_chan)
the_chan = chan%good_chan(chan)
phase_envelope_70_100(the_chan,:) = unwrap(angle(hilbert(LowGammaData_70_100(the_chan,:))));
end
set(0,'Defau... |
b44d09f9c00e440e04b1b1a38f669ed82c2bec631bac41f628fa44e3aa2ef0e8 | MATLAB | 875 | 33 | function cvalue=DOTNB_cdf(k,r1,p1,r2,p2)
% calculate the cumulative probability of k that is the difference of two NB distributions (r1,p1) and (r2,p2)
% k is the observed number of difference
%sum pvalue for <= k,
%use a small stop_pvalue as threshold for stop condition of interation
stop_pvalue=1.0e-20;
cv... |
f2989804e3804aa7cfbe92ba1899a82d424d0069bb00eb18c23486fa46a84945 | MATLAB | 875 | 26 | function t = full(t)
%FULL Convert a ktensor to a (dense) tensor.
%
% T = FULL(C) converts a ktensor to a (dense) tensor.
%
% Examples
% X = ktensor([3; 2], rand(4,2), rand(5,2), rand(3,2));
% Y = full(A) %<-- equivalent dense tensor
%
% See also KTENSOR, TENSOR, KTENSOR/DOUBLE.
%
%MATLAB Tensor Toolbox.
%Cop... |
08b19cfbaeaa0327b3f8c136dd878384b9651536e23860d6426f50fb3f58b7c3 | MATLAB | 876 | 24 | function [gx] = g_Kalman4bandits (x, P, ~, in)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [gx] = g_Kalman4bandits (x, P, u, in)
% softmax decision rule for N-armed bandit task as in Daw et al. 2006
%
% /////////////////////////////////////////////////////////////////////////
% Get... |
2ad479f15467e3ca1fc7bd07594cedfeedfdcbeda2434a0ea111c690cbb1e811 | MATLAB | 876 | 41 | function f = fmf_frame_count( filename )
% frames = fmf_frame_count( filename )
%
% counts the number of frames in a FlyMovieFormat file
% and writes it into the file header if it's not already there
%
% JAB 6/30/04
fp = fopen( filename, 'r' );
version = double( fread( fp, 1, 'uint32' ) );
if version ~= 1,
error(... |
2f0baca6e2129084055b93cd729ac862ba0cc87c4d03a820611aca2d46860828 | MATLAB | 876 | 30 | % TSERROR
%
function TSerror(errorstring)
stack = dbstack('-completenames');
[thisfile calledfile callingfile] = stack.file;
[thisfun calledfun callingfun] = stack.name;
[thisline calledline callingline] = stack.line;
disp(sprintf('\n*** TS SYNTAX ERROR ***\n\n'));
temp = sprintf('<a href = "matlab: opentoline('... |
8b1b93172bc04302b3b8631202b2a5eecc078f02a7d2010a858b2bb8193fbfa4 | MATLAB | 876 | 28 | function [ outputImage_interp ] = TPS3DApply(in1D,out1D,imgToWarp,outdim)
%TPS3DAPPLY applies the warp to a vectorized version of the image data,
%then returns an interpolated version of the data
%now that we have the pixel->pixel mapping from the TPS, apply it to a
%data channel, interpola... |
923bda52045934143a01ad8b738e87b0449e803cae3ac7aed4aa24b40171cc47 | MATLAB | 876 | 39 | % 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 out=u... |
d998c3e9cd1ab053956724b2ccd9c7353167e8332dc18603df09eb030ed8af00 | MATLAB | 877 | 34 | function [Y,mri] = fs_read_Y(Y_fname)
% [Y,mri] = fs_read_Y(Y_fname)
%
% Reads Freesurfer's .mgh or .mgz data files (eg. cortical thickness data
% files generated with mris_preproc).
%
% Input
% Y_fname: A Freesurfer's cortical data file.
%
% Output
% Y: Data matrix (nmxnv, nm total # of maps, nv #vertices).
% mri: ... |
5dd1dcb8c39412b0ec83db72780424b67acb954efe931c229cb65694e6e7f026 | MATLAB | 878 | 27 | for iside = 1:2
ps = (iside-1)*0.45+0.08;
pos = [ps 0.4 0.38 0.535];
subplot('Position',pos);
for ip = 1:2
ipop = ip+(iside-1)*2;
bl = NaN(Npar,1);
pr = NaN(Npar,1);
if Nb(ipop) > 1
for ipar = 1:Npar
bl(ipar) = ave_Blength(ipop,ipar);
... |
616e1a3103123375c064e7549a52f9b76d0332e2e7feadee6ca5fd61515b6545 | MATLAB | 878 | 46 | function r=rbmPlotImg(X, doTranspose)
% X(:,i) is i'th data case or weight vector.
% If possible, reshape it as an image and make
% a composite image of all of them.
% If no return argument is request, plot image,
% otherwise return it.
% This file is from pmtk3.googlecode.com
if nargin < 2, doTranspose = false; end... |
7e300b60a71b20320769ba63e4bd0bff39a639be9e1303886b046ef9a4515cc6 | MATLAB | 878 | 26 | function [mri] = align_fsaverage2mni(mri)
% ALIGN_FSAVERAGE2MNI performs an affine alignment of the anatomical volume from
% FSAVERAGE towards MNI coordinates. Only the homogeneous transformation matrix is
% modified and the coordsys-field is updated.
%
% Use as
% mri = align_fsaverage2mni(mri)
% where the first inp... |
822ea11ee181a6a857f92747a9c6e34d7320918df174eb88bc86860bdef1da6d | MATLAB | 878 | 33 | function indexlocptr = ...
sbfmf_write_header(fp,version,nframes,...
differencemode,bgcenter,bgstd)
BGTYPE_DARKONLIGHT = 0;
BGTYPE_LIGHTONDARK = 1;
BGTYPE_OTHER = 2;
[nr,nc] = size(bgcenter);
switch lower(differencemode),
case 'dark flies on a light background',
differencemode = BGTYPE_DARKONLIGHT;
case ... |
ba5d39084cafcb502df863bdb4775e48ac919868c17c060f8919aacc18a9efd8 | MATLAB | 878 | 15 | %% 非线性（动力学）特征：基于时域的熵 | nonlinear features: time-domain-based entropy
%% Log Energy Entropy
% 表征时间序列数据的复杂性（complexity）In some studies, the log energy entropy is used as a feature to distinguish focal(病灶的) and non-focal EEG signals.
% X: single channel EEG signal (either a row vector or a column vector)
% See also:
% ... |
fdef1f62d052b83636a4055324cfb2855be87cd377e65bb0ed4140b6c79e8e6a | MATLAB | 878 | 21 | function [max_pool_size] = concurrency_size_in_puncta_roicollect(cond)
loadParameters;
if ~isfield(params,'PUNCTA_MAX_POOL_SIZE')
main_mem_usage = cond.imgsize_dbl + params.MATLAB_PROC_CONTEXT;
par_worker_mem_usage = cond.imgsize_dbl + params.MATLAB_PROC_CONTEXT;
max_pool_size = min(pa... |
27849090a00a800c60338c72a7716e99d89eb2506924858443ddb6a15bef436e | MATLAB | 880 | 37 | function [data, stamp] = fmf_read_frame( fp, h, w, bytes_per_chunk, data_format )
% [data, stamp] = fmf_read_frame( fp, f_height, f_width,
% bytes_per_chunk, data_format )
%
% reads image data for the next frame in the file pointer FP
%
% DATA is specified by data_format, as below, F_HEIGHT x F_WIDTH
% STAMP is the tim... |
2b0d3cc925d43acd666a45ad2f524f7faf627564d1c87a11a5dcea39258afa23 | MATLAB | 880 | 43 | % axisalmosttight(border,varargin)
function axisalmosttight(border,varargin)
if nargin < 1 || isempty(border),
border = 1/20;
end
if numel(varargin)>=1,
hax = varargin{1};
else
hax = gca;
end
ax = [inf,-inf,inf,-inf];
for i = 1:numel(hax),
axis(hax(i),'tight');
ax1 = axis(hax);
nd = numel(ax1)/2;
if i ... |
a809534c28aed8b059c27cfb85f210f8c8500dd496bb43eebb85dccc8b3fd19a | MATLAB | 880 | 19 | function [P, E] = bemf4_surface_field_electric_plain(c, Center, Area)
% Computes potential/continuous electric field on a surface facet due to
% charges on ALL OTHER facets using plain FMM
% Self-terms causing discontinuity may not be included
% To obtain the true field, use E = E/eps0;
%
% Copyright SNM 2018... |
fd53daa6ad8b7ac1803467c3b2c8a6da0769f48aa1b7d0fc5cf984f673d4e996 | MATLAB | 880 | 24 | % This script plots the electric potential of the primary, secondary, or
% the full field for any brain compartment surface
%
% Copyright SNM/WAW 2017-2020
%% Graphics
tissue_to_plot = 'Skin';
objectnumber = find(strcmp(tissue, tissue_to_plot));
temp = Ptot(Indicator==objectnumber);
PtotSkin ... |
3ae88e3ccdcd36167ec0144f3e000b439c3fff81ced2111efb33b5a73affed80 | MATLAB | 881 | 40 | function MoveAxisToOrigin(ha)
% move axes TO origin
% function MoveAxisToOrigin(ha)
% IN:
% - ha: axes' handle
% GET TICKS
X=get(ha,'Xtick');
Y=get(ha,'Ytick');
fs = get(ha,'fontsize');
% GET LABELS
XL=get(ha,'XtickLabel');
YL=get(ha,'YtickLabel');
% GET OFFSETS
Xoff=diff(get(ha,'XLim'))./40;
Yoff=diff(get(ha,'YLi... |
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