sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
6e342bf8d638638c00de5083c822ecd6451dad88e253f3c22a7783bc35363fe0 | MATLAB | 1,406 | 42 | function [SNReff,bEff] = DWSSFP_SNREfficiencyOscillating(x,optSample,optScanner,bOsc,tau,~)
%%
% calculates DW-SSFP SNR Efficiency
%
% input:
% x = array with difference between TR & gradient duration (incorporating deadtime) and the flip angle (ms)
% optSample = T1 (ms), T2 (ms), T2* (ms) & D (um^2/ms)
% optScan... |
8175d1442f7afefa27c0fe33566c8866cf22ccf176b902dfe39e64dfe8600251 | MATLAB | 1,406 | 56 | function chm = wmodacorr2(ch,targetAcorr,W,Wsqrt,epw,Niter,Na,Wind,Wsz,Wvec)
%
%-----------------------------------------
% chm = wmodacorr2(ch,targetAcorr,W,Wsqrt,epw,Niter,Na,Wind,Wsz,Wvec)
%
% modify the weighted autocorrelation of an image matrix by taking
% gradient steps (see wacorr2.m)
%
% ch: image
% targetAco... |
c54777002ecb24ddafced7e9ac824345e637dff96a15391fbcafdf42a1b06a8d | MATLAB | 1,406 | 42 | %%Plots binned data for each lap in grey and the mean data in black
%Chad Heer; Sheffiel Lab
function [] = plot_laps_axon(position, bin_mean_activity,tasks,ylims)
%position = position for each bin
%bin_mean_activity = {task} (lap x binned mean activity)
%tasks = string array listing the order of the tasks
%ylims = y l... |
d880778e490c233be35f778d79c1ab053b85181289ff185e793de468e230f7cf | MATLAB | 1,406 | 65 | function plotRasterTraces (spikeRaster,traces,bin,norm);
%% Downsample spike raster to match traces
if nargin < 4
norm = 'no_norm';
end
N_cells = size(traces,1);
time = 1:size(traces,2);
switch bin
case 'bin'
spikenums_mod = logical(sepblockfun(spikeRaster, [1,2], 'max'));
case 'noBin'
... |
de50c158830ba9d34a8a59f6f17bd21ed0ca497cb47e174ecb015b0818fbaa8a | MATLAB | 1,406 | 45 | function [channelsRanked, C] = meg_loadChannels(matDir, channelSelectionType)
% function [channelsRanked, C] = meg_loadChannels(matDir, channelSelectionType)
%
% INPUTS
% matDir
% string, full path to mat directory
%
% channelSelectionType
% method used to sort the channels, corresponds to an existing file name,
... |
9e0de9408830c7e1b9cd5f2e78802da83a7687a7ffc51b699a158de843cbaa45 | MATLAB | 1,407 | 59 | % Author: Milena Capiglioni, University of Bern
% Contact: milena.capiglioni@extern.insel.ch
% Last update: Nov.2023
function [min_s,max_s,aux_max,norm_min,norm_max] = im_overlay_RFR(Yoff,contrast,mask,min_s,max_s,aux_max,norm_min,norm_max,ax)
gray_im = Yoff;
over_im = contrast;
alpha_mask = mask;
n_colors = 256;
%... |
cd42d4a54c01f383b64bba8edd4b56b567ee6f44bcc93b1fae23aad16e805c7b | MATLAB | 1,407 | 42 | function Options=Config_text(varargin)
[varargin,IncludeTouchSensor] = Utilities.ProcVarargin(varargin,'IncludeTouchSensor');
[varargin,TaskLabel] = Utilities.ProcVarargin(varargin,'TaskLabel',{});
% Config file that determines how to process the Symbolic Task
Options.TaskType='experiment2';
Options.TaskVe... |
e58bedba428164b72b3d8a90bfff4eb9021548b20c9c64d48dc1c8110ee29b7a | MATLAB | 1,407 | 43 | function d = bhattacharyyaDistance(x0,x1)
%d = prtUtilBhattacharyyaDistance(X1,X2)
%d = prtUtilBhattacharyyaDistance(DataSet1)
%d = prtUtilBhattacharyyaDistance(DataSet1,DataSet2)
% Copied and adapted by @dhasegan on 2021/12/16 from
% https://www.mathworks.com/matlabcentral/fileexchange/46392-pattern-recognition-toolb... |
0bed5ab643d6a8b23365d9b92156df4c6aee2dea4d673648b1faf4e3a9884e14 | MATLAB | 1,408 | 42 | function [fx,J,dfdp] = f_embed(Xt,Theta,ut,in)
% evolution function for dynamical system's delay embedding
% function [fx,J,dfdp] = f_embed(Xt,Theta,ut,in)
fxd = zeros(in.dim.n,1);
Jd = zeros(in.dim.n_embed+in.dim.n,in.dim.n);
dfdpd = zeros(size(Theta,1),in.dim.n);
if sum(in.options.delays(:)) > 0
for i=1:in.dim.n... |
608962ba4f09c9ac59704dca326eaa65260770d8915751c8d8b049ed25c6343e | MATLAB | 1,409 | 29 | function trial_summary = getTrialSummary(paths, num_markers, thresh)
% initialize output file
getTrialSummary_output.getTrialSummary = 'getTrialSummary.mat';
fcp1_output = loadjson([paths.anout_grp '/fcp1_output.json']);
ppts = load_participants(paths, 'fcp1');
ppts = ppts.Var1;
ppts = cellfun(@(x) x(1:4), ppts, 'Uni... |
94e9e732f7a255944cd156b1c04e147b988f9b3d52ba37bde72e26380367e5f3 | MATLAB | 1,409 | 61 | % This script loads model and NIfTI data when availble
% It can be used as a starting point
%
% Copyright SNM 2017-2024
%% Load NIfTI data
% This block is optional (only if NIfTI data are available)
tic
nifti_filepath = 'T1w.nii';
if exist(nifti_filepath, 'file')
VT1 = niftiread(nifti_filepath);
... |
0f2f191b3dc641156d4290bed614d2f4155d28e857ac8baf8b9d7f264112508a | MATLAB | 1,410 | 47 | function M = prepare_mesh_fittemplate(headshape,template)
% PREPARE_MESH_FITTEMPLATE computes an affine transformation matrix between 2 point clouds
%
% This function relies on cpd toolbox from Myronenko, see https://sites.google.com/site/myronenko/research/cpd
%
%
% See also FT_PREPARE_MESH
% Copyright (C) 2019, S... |
a937a127286f15441f501f577daf81d377ab8b5521d9b8c8e37db0e7b43a2e76 | MATLAB | 1,410 | 69 | function Plot3AxisAtOrigin(x,y,z,s);
% PLOT3AXISATORIGIN Plot lines and points in 3-D space with
% axes through the origin
%
% Usage:
% Plot3AxisAtOrigin(sin([-3:.3:6]),cos([-3:.3:6])-0.75,[-1:.1:2],'r')
% title('Plot3 with Axis Through Origin');
%
% It's not fancy, but it works
%
% 'just an example for CSSM
%
% s... |
1318902af30cd150c5770e6b73e52b9ce37c1fecb4a4cc27fb36bdfae89a69bc | MATLAB | 1,411 | 40 | % $$C\frac{dV}{dt}=a(V-V_{rest})(V-V_c)+I$$
% Input defined at Line 29
clear; %clear all variables
% close all; %close all open figures
%DEFINE PARAMETERS
dt = 1/1000; %time step [ms]
t_end = 1200; %total time of run [ms]
t_StimStart = 100; %time to start injecting current [ms]
t_StimEnd = 1000; %time to end injecting... |
87710343b71ca53f748abbee8c6f1cc3dfbdc1590d1955097397d1779bd9f96f | MATLAB | 1,411 | 40 | % SSEFunction.m
% Sarah West
% 6/30/22
% Function that calculates sum of squares on a PLSR model. Taken from
% source code of Matlab built-in function plsregress.
function sumsqerr = SSEFunction(Xtrain,Ytrain,Xtest,Ytest,ncomp)
XmeanTrain = mean(Xtrain);
YmeanTrain = mean(Ytrain);
X0train = Xtrain - Xmea... |
8d53b2b058374aa577c227c22ef360e0f0078fd1a21c06818d1501abd8eacb1e | MATLAB | 1,412 | 40 | function [F P]=y_ancova1(DependentVariable,GroupLabel,Covariates)
% [F P]=y_ancova1(DependentVariable,GroupLabel,Covariates)
% Perform one-way ANOVA or ANCOVA analysis
% Input:
% DependentVariable - the dependent variable. n by 1 vector
% GroupLabel - the label indicate which group is. eg. [1 1 1 2 2 2 2 3 3 3... |
9f48b6553bf1039484fc5266846d0d48acc1c13fe92aa98ee53887f0fc04b852 | MATLAB | 1,412 | 43 | function [v] = v_discounting(x,P,u,in)
% evaulates 2D utility function at u
% function [v] = v_discounting(x,P,u,in)
% This function computes 2D utility functions, as in, e.g., temporal
% discounting models. Four different functional forms can be used:
% hyperbolic, exponential, linear and basis functions sets.
% IN:
%... |
2d59308c2040a9a054bf927439b06a0a712db26eebf9ecaca89ad024a100b666 | MATLAB | 1,413 | 20 | function expInfo = expInfo_specifyKeys(expInfo)
%% specify keys
% Use OS X keyboard naming scheme across all plattforms
% Otherwise LeftControl/RightControl are not recognized
KbName('UnifyKeyNames');
expInfo.keyLeft = [KbName('LeftControl'), KbName('LeftAlt'), KbName('LeftArrow'), KbName... |
6c983b507829b156f9afd19c96c15cf30a7da76fbf5816813691228a39dc83d6 | MATLAB | 1,413 | 59 | function structexport(s,fname,varargin)
% structexport(s,fname,varargin)
% Optional PVs:
% - format. One of {'csv' 'xls'}. Defaults to csv.
format = myparse(varargin,'format','csv');
assert(ismember(format,{'csv' 'xls'}),'Invalid ''format''.');
pvargs = {};
if strcmp(format,'xls')
pvargs = {'nansAsStrings' true};... |
707338793f3f1e06ce54a85296b866aa75a751c1a7885c2e99014b48825c2a8f | MATLAB | 1,413 | 93 |
% load camera results (for setting active images, n_ima,...)
load camera_results;
% Projection settings:
wintx = 12; %8;
winty = 12; %8;
nx = 1024;
ny = 768;
dX = 32;
dY = 32;
dXoff=511.5;
dYoff=383.5;
proj_name = 'proj'; %input('Basename projector calibration images (without number nor suffix): ','s');
camera_na... |
8a28f81e0cfce764f17a1257dfd3f7e0ab73660cb7a20b8c87951313d46f74dd | MATLAB | 1,413 | 54 | function tokens = tokenize(str, delimiter)
% Tokenize a string
% If delmiter is more than one character, it is assumed that you want
% to tokenize based on multiple delimiters - if not use regexp instead.
%
% Empty cells are removed
%% Example
% str = 'a;man;a;,plan;a ,,,canal;panama! '
% delimiters = ';, '; % split at... |
09e90b71ee1bfee7517b466ecba03db6ddce9c68cc9bc543c96987ade1a9a6a4 | MATLAB | 1,415 | 44 | function V = mttkrp(X,U,n)
%MTTKRP Matricized tensor times Khatri-Rao product for sparse tensor.
%
% V = MTTKRP(X,U,n) efficiently calculates the matrix product of the
% n-mode matricization of X with the Khatri-Rao product of all
% entries in U, a cell array of matrices, except the nth. How to
% most efficien... |
c192bbe78dd2998d3c3c5f17e47f74150459974e350cd7a6bc32694627e453c1 | MATLAB | 1,415 | 87 | function loc_phys=mk_sensors_plane(sensors,pars);
[ns_ori,ndim]=size(sensors);
if nargin>1
if isfield(pars,'rot');
rot=pars.rot;
else
rot=0;
end
if isfield(pars,'nin');
nin=pars.nin;
else
nin=ns_ori;
end
if isfield(pars,'indices');
indices=pars.indices;
else
indice... |
e0094534cb87e078768673588da18d11f110a75156a74c2ab0b8e5e0dc227cbd | MATLAB | 1,415 | 35 | function works=testNewFileCreationInJLabel()
try
jLabelFigure=JLabel();
pause(1);
eventData=[];
JLabel('menu_file_new_Callback',jLabelFigure, eventData, guidata(jLabelFigure));
pause(1);
projectSetupFigure=findall(0,'tag','figureProjectSetup');
behaviorNameEdit=findall(projectSetupFigure,'tag','editName'... |
102bb59394de969b8de700e405007b3d90ab75cf1297e18ab12eca3519e7c561 | MATLAB | 1,416 | 93 | classdef NNdata < VectorObject
properties
raw_data
file_idx
spiketimes
label_idx categorical
% timestamps to determine if more training is needed
timestamp_last_modified char = datestr(now)
timestamp_last_trained char = datestr(now)
% neural network performance
accuracy (1,1) double = 0
acceptable_... |
aaa02f45bd3449921688df015cc7004fed7318786256d2c768722415c6608ffd | MATLAB | 1,416 | 53 | function [allVec_rest,allTs_rest] = Closed_Loop_Rest()
% Record resting state EEG
% allVec_rest: Resting EEG (channel*sample)
% allTs_rest: Timestamp of each sample
%% Parameters
fnative = 10000; % Native sampling rate
fs = 1000; % Processing sampling rate
%% Initialization
downsample = floor(fnative/fs);
all... |
05820470188e5c180b7c578b8521d7422f67223e89f161589277575af7e10ba6 | MATLAB | 1,417 | 51 | addpath(genpath('external'))
baseimg=zeros(91,109,91);
cfg.type='MNI';
cfg.coordinates=[0 0 0];
cfg.imgsize=[91 109 91];
[xorig yorig zorig]=bramila_MNI(cfg);
% sphere is x^2+y^2+z^2=r^2
r=10;
for x=1:91
for y=1:109
for z=1:91
cfg.type='space';
cfg.coordinates=[x y z... |
2bbf8f09bb315a93069d4673e059e0e9d0ded7411c493a9afe138bfe80c6208c | MATLAB | 1,418 | 57 | function tests = SWITCH_tile_processingTest
tests = functiontests(localfunctions);
end
function setup(testCase)
testCase.TestData.tempDir = '/mp/nas1/share/tmp/testworks';
if ~exist(testCase.TestData.tempDir)
mkdir(testCase.TestData.tempDir)
end
img={};
chans = 1
for i = 1:chans
... |
28469d4af71441140907380dea7dab6130d83456629223a7c2aab0222e953898 | MATLAB | 1,419 | 53 | % RSKELF_SPDIAG_SV_N Dispatch for RSKELF_SPDIAG with DINV = 1 and F.SYMM = 'N'.
function D = rskelf_spdiag_sv_n(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find ... |
cd3e0418e6f8dc2d22327343dcba515cf09334b89af0ef03455a2999e3aab88c | MATLAB | 1,419 | 60 | %% Illustrate the robustness of the student and laplace distributions compared to the Gaussian.
%
%%
% This file is from pmtk3.googlecode.com
function robustDemo()
n = 30;
setSeed(8);
data = randn(n,1);
outliers = [8 ; 8.75 ; 9.5];
nn = length(outliers);
nbins = 7;
figure;
plotHist(data,nbins,n);
plotPDFs(data);
pr... |
d9c44ea6d7583c71f6125f6ad4073d9a520a851cb6ab9e6080a976eb79a9f9ab | MATLAB | 1,419 | 53 | % RSKELF_SPDIAG_MV_N Dispatch for RSKELF_SPDIAG with DINV = 0 and F.SYMM = 'N'.
function D = rskelf_spdiag_mv_n(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find ... |
1c0f02f42001f4523d5263c40b99b2633ced2cefdd7c21f162e7c7fb75450d07 | MATLAB | 1,420 | 40 | function st = inside_tetrahedron_vectorized(P,tets, nodes)
%
% st = inside_tetrahedron_vectorized(P,tets, nodes)
%
% This is vectorized vertion of 'inside_tetrahedron'
%
% Inputs:
% P: Query point
% tets: tetrahedron connectivity (n x 4)
% nodes: coordinates of tets (m x 3)
% st:
% rows of 'st' are 1 (true) if... |
4068308daa139c76003b255a93ee4c85a605ddb08ad175ccdc87ad6354206c1a | MATLAB | 1,420 | 53 | % RSKELF_SPDIAG_MV_S Dispatch for RSKELF_SPDIAG with DINV = 0 and F.SYMM = 'S'.
function D = rskelf_spdiag_mv_s(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find ... |
5aaca4e8c4a4c66e7b790de1c3ac13f9a3bd19287f43667c1c15601fbb2b7ec7 | MATLAB | 1,420 | 53 | % RSKELF_SPDIAG_SV_S Dispatch for RSKELF_SPDIAG with DINV = 1 and F.SYMM = 'S'.
function D = rskelf_spdiag_sv_s(F,spinfo)
% initialize
N = F.N;
n = length(spinfo.i);
P = zeros(N,1); % for indexing
D = zeros(N,1); % for output
% loop over all leaf blocks from top to bottom
for i = n:-1:1
% find ... |
029ceaecf416e5be604fc8dbf3b7388c166f6b9abe215fccd9125ca5442ed529 | MATLAB | 1,421 | 52 | function h_imstack3Loader(num, siz, overlapFlag)
% this function load several h_imstack3 instances and spread them on screen
% screenSiz = [1920 1080];% lab 27" monitor
% screenSiz = [1440 900];%notebook
screenSiz = get(0, 'screensize');
screenSiz = screenSiz(3:4);
spacing = [20, 65]; %[x, y]
if ~exist('si... |
598b0175b2db6443665f03375c559bd7b4f57949c2f39e988932e6572df57095 | MATLAB | 1,421 | 74 | % Mixtures of negative binomials
% Demo for Sohrab
function negBinomDemo()
for trial=1:2
N = 100;
theta = 0.5;
xs = 1:N;
probs = [];
c = 1;
if trial==1
for i=1:numel(xs)
x = xs(i);
probs(i,c) = binopdf(x,N,theta);
end
names{c} = sprintf('binom(%d, %3.1f)', N,theta);
c = c+1;
end
mu = N*theta;
if trial==1
thet... |
12c61ae3ffeab242402de51ff6cd0e199f3cb9989ecfedcd57db63d18b7a777a | MATLAB | 1,422 | 34 | function [ fx ] = f_BSLinGame(x,theta,u,in)
% evolution function for BSL learner engaging in dyadic games
% [ fx ] = f_BSLinGame(x,theta,u,in)
% BSL is simply tracking the log-odds of P(o_t=1|o_{t-1}), where o is the
% opponent's binary action. This variable is updated according to a
% Laplace-Kalman filter, yielding 2... |
7630940a184e496d07320a76c766dc66dc9b50b7c879c7788bde1383515e72cb | MATLAB | 1,422 | 56 | function [yhat, py] = mlpPredict(model, X)
% Multi-layer perceptron : prediction
%
% For classification:
% [yhat, py] = mlpPredict(model, X)
% yhat(i) is in same domain as ytrain,
% py(i,k) = p(y=k|X(i,:))
%
% For regression:
% [mu, s2] = mlpPredict(model, X)
% mu(i) = E[y|X(i,:)]
% s2(i) = Var[y|X(i,:)]
% This file i... |
a55539a6f92d00f327816313de05f7813ac605d8cd757ff31cfddb8fde3d95b8 | MATLAB | 1,422 | 61 | function A = lan_smooth_d1(A,n)
if nargin==2
if n == 0
return
end
for x = 1:n
A=lan_smooth(A);
end
else
nn = isnan(A);
A(nn) = 0;
[d1 d2]= size(A);
A = ( A + ...
(cat(1,A(1,:),A(1:d1-1,:)))/2 ....
+ (cat(1,A(2:d1,:),A(d1,:)))/2 ...
...%+ (ca... |
43e594a06723904756ac21718f6bc3c54ab01ca76fa68f5a5c65d10c49477760 | MATLAB | 1,423 | 67 | %
% _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% allows you to manually cluster a reduced-to-2D-dataset by
% drawing lines around clusters.
... |
7d672bf7a55c258f330651cba688392fe88d5e06866888b51fcfae30adca6be8 | MATLAB | 1,423 | 46 | function [IDIF_corrected, rc, m_tb] = chen_correction(IDIF, IDIF_time, venous, venous_time, Ct, Ct_time)
%It performs Chen correction to IDIF
%
% Chen et al., (1998).
% Noninvasive quantification of the cerebral metabolic rate for glucose
% using positron emission tomography, 18F-fluoro-2-deoxyglucose, the Patlak
% ... |
b237b31689601763e55ae188a9f42d7c1a3af0e43e538dfdfdd88d103620cdd3 | MATLAB | 1,423 | 1 | % TSLOADRAW Load a MEDPC file onto the Experiment structure
% TSLOADRAW(FILENAME) loads in the data from FILENAME into TSData.
function [ SUCCESS , ExperimentID, SubjectID, Phase, Box, MatlabStartDate, Duration, tsdata, Notes, Weight, Program, FileReportedUnits ] = TSloadMEDPC(filename)
SUCCESS = 0;
%disp('Openi... |
fac0e67a3b92e1166ebd5a507500a38abfafb9213a622166b983a44701e2426f | MATLAB | 1,423 | 37 | function [argout] = mxSerialize(argin)
% MXSERIALIZE converts any MATLAB object into a uint8 array suitable
% for passing down a comms channel to be reconstructed at the other end.
%
% See also MXDESERIALIZE
% Copyright (C) 2005, Brad Phelan http://xtargets.com
% Copyright (C) 2007, Robert Oostenveld http:/... |
0750a3753cf7fcc63f5953f81d3f1e5d15b3b76f613e58720040b3d514893e88 | MATLAB | 1,424 | 52 | function C = xor(A,B)
%XOR Logical XOR for sptensors.
%
% See also SPTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
% Copyright (2015) Sandia Corporation. Under the terms of ... |
084ef3cb1c1885dfcfd8f40d68c78032631bc3df8787a3f555bd6d16a7c2cdac | MATLAB | 1,424 | 47 | function S = splitString(varargin)
% Split a string into multiple lines based on camel case
%
% Inputs
%
% '-S' the string to split
% '-minSize' does not split at all if length(S) < minSize
% '-maxSize' splits no matter what, (even if no camel case change) if length(S) > maxSize
% '-center' if true, ... |
93e23d0770c2a2afec601249ed7a82f303c563b2a44d575dc0a837db1442f565 | MATLAB | 1,424 | 51 | function [impreds,sta] = predictSingleSubunitModel(mdlparams, imEnsemble, nrx, nry)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
[ypix, xpix, Nims] = size(imEnsemble);
imenuse = reshape(imEnsemble(nry, nrx, :), [numel(nry)*numel(nrx), Nims]);
[xuse, yuse] = meshgrid(single(nrx)-0.... |
f2c92ae5fa267f8ec78d03b8c4ff013bdf8a43ca1db0e1c63f876eef3df06a13 | MATLAB | 1,424 | 54 | function [ behavior,filename ] = bz_LoadBehavior( basePath,behaviorName )
%[ behavior,filename ] = bz_LoadBehavior( basePath,behaviorName ) function for
%loading behavior.mat files.
%
%
%DLevenstein 2017
%%
if ~exist('basePath','var')
basePath = pwd;
end
baseName = bz_BasenameFromBasepath(basePath);
if ~exist('be... |
42985f3330200f2c40a7660dedcbb0202fbe08cf2ff57c57dc691f10657afdc8 | MATLAB | 1,425 | 49 | %% We compare the posterior on 2 graphs, X1-X2 and X1 indep of X2
% Here X1 and X2 are discrete
% We use tabular CPDs with uniform priors
% This file is from pmtk3.googlecode.com
% simulate handedness data, X1=gender, X2=hand
% suppose we have N1 males (1), N2 females (2)
% of which y1 males are LH (1) and y2 female... |
dfeb8822726758cdf5b1cb4f0f650a71ea541cae2871cef48f835fd67b179c1c | MATLAB | 1,425 | 44 | %% zscore_inv
% Inverse a Z-score transformation to (projected) original values using
% sample mean and standard deviation;
% zVal = (xVal- xMean)/xStd ==> zVal*xStd+xMean = xVal;
%
% INPUT:
% zscore = [N_samples x N_trials] data; %calcuated columnwise if N_trials
% > 1
%
% Copyright (C) 2023 Trevor ... |
1e743dd00f0c865a578285f52435f2fd546d5c85078e0e172907ca77c1653e81 | MATLAB | 1,426 | 49 | function outpoints = y_icbm_spm2tal(inpoints)
%
% This function converts coordinates from MNI space (normalized
% using the SPM software package) to Talairach space using the
% icbm2tal transform developed and validated by Jack Lancaster
% at the Research Imaging Center in San Antonio, Texas.
%
% http://www3.intersc... |
29dbde987fda0f5b0133257e22ed5131dcf19e471142a8c0d832fbe9ecaf7229 | MATLAB | 1,426 | 40 | function e = hystThresh(e, g, thresh, conn)
%HYSTTHRESH carries out hysteresis thresholding, as for Canny
% E = HYSTTHRESH(E, G, THRESH) takes a raw edge map, a gradient magnitude
% array and a threshold or pair of thresholds, and returns a new edge map
% wherever the gradient magnitude exceeds or equals the ... |
473d476e3d53c6e70748ebaca2c462b8a0b1e83d54dc315f177414522ffb896b | MATLAB | 1,426 | 34 | % SOFA API - demo script
% load headphone IRs from a SOFA file from the ARI headphones database
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences
% Licensed under the EUPL, Version 1.1 or – as soon they will be approved by the European Commission - subsequent versions of the EUPL (t... |
51de834636f159d90b098c9ac0a4a9c3db44b40c4364de5260b909ada13e506b | MATLAB | 1,426 | 53 | function [Q Qds Qds_Li C] = calc_modularity_TL(Ci,B)
% Calculate different quality metrics
% This code was originally a part of MSCcodebase (Gordon et al. 2017 Neuron)
K=sum(B); %degree
N=length(B); %number of vertices
m=sum(K);
% B=B-(K.'*K)/m;
%
% s=Ci... |
7280312f8fbea98ae4605ca334af7f74f1e397bc223111d74b817595c29d7f25 | MATLAB | 1,426 | 33 | function [FileList]=CurrentVariableMemoryUsageTracker(Details,SizeRange)
%use CurrentVariableMemoryUsage(whos,CutOff) in bytes
warning on all
warning off verbose
warning off backtrace
FileList=[];
FileCount=0;
for i=1:length(Details)
if Details(i).bytes>SizeRange(1)&&Details(... |
cd94c0473cb1f1c8e11b949d161ef359633490c2255ed492c7f6d1f19ef36db1 | MATLAB | 1,426 | 15 | %% 非线性特征 | nonlinear features
%% 平均瞬时能量 Mean Energy
% X: single channel EEG/imfx/hilbert(imfx) signal (either a row vector or a column vector)
% 对于signal或者imf这样的时域信号，abs(signal).^2得到的是每个点处的瞬时能量（即瞬时振幅的平方，是一个长度为N的向量）,再取mean后得到的是平均瞬时能量（是一个值）
% 对于hilbert(imf1)这样得到的是imf的解析信号表示（是个复数），abs(hilbert(imf1)).^2得到的是每个点处的瞬时能量（同样是瞬时... |
ee5386b5a936e9c7f67b457b29861bb5471c67f868e0b42a1bdf8d51feac9a5f | MATLAB | 1,426 | 52 | function [K] = VBA_spm_perm_mtx(n)
% Returns a matrix of indices permuted over n
% FORMAT [K] = spm_perm_mtx(n)
% n - (scalar) number of indices
% K - (2^n x n) permutation matrix
% n - (vector) indices
% K - (length(n)! x n) permutation matrix
%______________________________________________________... |
ff426e97cc87c2e064bc7e48dbb84d96ffc327886db18aa49999afbfc7bcd4e5 | MATLAB | 1,426 | 62 | clear;
clc;
load data_for_figure8.mat
srate = 500;
%%
param.plot = 1;
param.minimum_cycles = 2;
param.ovlp_threshold = 0.50;
param.frequency_axis = 1:40;
[cho_output] = CHO_v22(raw_data, srate, param);
% [cho_output] = CHO_v25(raw_data, srate, param);
% %%
% target_freq = 50;
% filtered_data1... |
0ef82381432bf19ec32244f0acec6f625272ea79352a656d5fc3cd205e61b46e | MATLAB | 1,427 | 36 | function [rt] = isDatasource(src)
%
%
%
%<PRE>
% This file is part of dspace-core.
%
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License a... |
5b797b70f996cfcce45e4f929f68af26d448495cc815c93d351715e8fdbbc904 | MATLAB | 1,427 | 39 | clear
clc
%{
delete(gcp('nocreate'))
myCluster.NumWorkers = 8;
parpool('local',8)
%}
NineMuscleMorphParaInitial = load('NineMuscleMorphParaInitial.mat');
NineMuscleMorphParaInitial = NineMuscleMorphParaInitial.NineMuscleMorphParaInitial;
MaxFunctionEvaluations_Data = 10^300;
MaxIterations_Data = 70;
OptimalityToler... |
de670cd514a4c164a04e38abdfc37537579464145f76d0adabcdfbb8c5be96d6 | MATLAB | 1,427 | 58 | function [fd_bin_v_sq,fd_bin_v_rct] = get_fixed_distances(v)
fd_sq = zeros(5,2,v.env.Ny_sq, v.env.Nx_sq);
fd_rct = zeros(5,2,v.env.Ny_rct,v.env.Nx_rct);
for y = 1:v.env.Ny_sq
for x = 1:v.env.Nx_sq
fd_sq(1,:,y,x) = [x-0.5, v.env.Ny_sq-y+0.5];
end
for x = 1:v.env.Nx_rct
fd_rct(1,:,y,x) = [x-... |
8ad63d4a911e095bfe3bb57d6bc91b6e6f0130150184444ac08ea665f05f0457 | MATLAB | 1,428 | 62 | %% Detect small calcium transients
Tr = traces;
disp('Detecting transients...')
[NCell,Nz] = size(Tr);
% Savitzky-Golay filter
Tr = sgolayfilt(Tr',3,5)';
% figure
% for i = 1:NCell
% plot(time,traces(i,:)+i-1)
% hold on
% end
% Detect Calcium Transients using a sliding window
TrRest = Tr(:,mvm.restEpochsI... |
7f6cb8ca985a5b0e2891cf3d8b3ee5902de71821b8aea391d4a4317302a97e14 | MATLAB | 1,429 | 46 | function h = mexhat(nu) ;
%MEXHAT Mexican hat wavelet in time domain.
% H=MEXHAT(NU) returns the mexican hat wavelet with central
% frequency NU (NU is a normalized frequency in Hz).
%
% NU : any real between 0 and 0.5 (default : 0.05).
% H : time vector containing the mexhat samples.
% length(H)=2*ceil(1.5/NU)+... |
46804887bdf7b3867979d21f3bb0e293441eb508b84012c35c763d84e780bd8c | MATLAB | 1,430 | 54 | function [V1,V2]=get_example_data
% get_example_data is used to make some rigid and nonrigid transformed
% 3D MRI example data for the registration examples.
%
% example,
% [V1,V2]=get_example_data;
%
% Function is written by D.Kroon University of Twente (October 2008)
addpaths;
load mri; D=squeeze(D); V2=s... |
4b7d08d161c5c9be01ac5d21cf4435762a5a0d83da04e529476c1fbddce64b46 | MATLAB | 1,431 | 42 | clear
clc
%{
delete(gcp('nocreate'))
myCluster.NumWorkers = 8;
parpool('local',8)
%}
NineMuscleMorphParaInitial = load('NineMuscleMorphParaInitial.mat');
NineMuscleMorphParaInitial = NineMuscleMorphParaInitial.NineMuscleMorphParaInitial;
MaxFunctionEvaluations_Data = 10^300;
MaxIterations_Data = 70;
OptimalityToler... |
a3ac1e0fd4a23abe95adcdfc6897be92573d65bdbb9ec162d3f7c6dfdd199a5a | MATLAB | 1,431 | 50 | function [model, logev] = logregFitEbNetlab(X, y, pp)
% Empirical Bayes logistic regression using Netlab's evidence procedure
% X is n*d, y is d*1, can be binary or multiclass
% Do not add a column of 1s
% This file is from pmtk3.googlecode.com
pp.addOnes = false; % netlab does this already
[model.preproc, x] = prep... |
dd1cf72827d6cf4fe6dfc14a434384d39bea250cb7962a0060afcd74206ce731 | MATLAB | 1,431 | 35 | function check_position_scaling(basepath)
% Checks SNLab behavior file position data to see if coordinates have been
% scaled and translated to be centered at 0,0. If not, scales coordinates
% realtive to maze center.
basename = basenameFromBasepath(basepath);
% load session and behavior file
try
load(fullfile(... |
24215dadf3f6e159805516ce03718c8fc4387df4b12568624892948807d9041e | MATLAB | 1,432 | 46 | function savevar(filename, varname, value, hashfile)
% SAVEVAR is a helper function for cfg.outputfile
%
% See also LOADVAR
% Copyright (C) 2010, Robert Oostenveld
%
% $Id$
assert(ischar(filename), 'file name should be a string');
assert(ischar(varname), 'variable name should be a string');
ft_info('writing ''%s'' ... |
5abb62743bac57c26087879cf26a5252b8115f384ea02c8069c43bcaca0379d7 | MATLAB | 1,432 | 36 | function reactionTimesToExcel(reactionTimeSummary, outdir)
%% Purpose:
% This function saves the reaction time summary data (output of the
% reactionTimes function) as an excel file for each participant. This
% function is to be run only after the reactionTimes function has been run
% and is only relevant if the user ... |
5ee5bf41970a533a23ffa178396de05800c44338e3b0136b85c0dcad394fe5e4 | MATLAB | 1,432 | 46 | function S = mdtvoting( E, s, sg, m, d, v )
% MDTVOTING Applies multiscale dense 2D tensor voting for ridge detection
% in a range of input thickness (gaussian prefiltering) and
% scale factor
% INPUT:
% E - Input tomogram (foreground dark)
% s - Scale factor range [s_min s_max s... |
6b6e8f0ad0e3a794f7cfce6e50260f045aa45d637664ffdcaec61cfdab260fea | MATLAB | 1,432 | 51 | function pw = lme_realizedPower(stats,C,alpha)
% pw = lme_realizedPower(stats,C,alpha)
%
% Power associated with a contrast C for the actual realization of the
% linear mixed-effects model (Depends on the Statistics toolbox).
%
% Input
% stats: Struc... |
9ebb457ad71113d7246f45c85eca1bc920970d6bf0e91e165db9b5b19244699b | MATLAB | 1,433 | 61 | f = @(x) tanh(2*x);
%f = @(x) x.^2;
sigma = 0.25;
N=200; xs = linspace(-4,4,N); ys = linspace(-4,4,N); x=[]; y=[]; px=[]; pyx=[]; for i=1:N; for j=1:N; x(i,j) = xs(i); y(i,j) = ys(j); px(i,j) = normpdf(x(i,j),0,1); pyx(i,j) = normpdf(y(i,j),f(x(i,j)),sigma); end; end;
p = px .* pyx;
px = (sum(p,2) * ((xs(end)-xs... |
dfd60623cd843a50810df1fbf26123c6bc61ea6e3d20234522859d4772307cea | MATLAB | 1,433 | 44 | function [fm,B]=locfreq(sig);
%LOCFREQ Frequency localization caracteristics.
% [FM,B]=LOCFREQ(SIG) computes the frequency localization
% caracteristics of signal SIG.
%
% SIG is the signal.
% FM is the averaged normalized frequency center.
% B is the frequency spreading.
%
% Example :
% z=amgauss(160,80,50... |
5d0566bb88a4814aae0c0aebc6b71b30fa217c857ffd05d6b0246fe05f8b4e3b | MATLAB | 1,434 | 65 | % function dividir
% EEG = datos en estructura eeglab (EEG.data)
% pr = epocas de la primera divición
% sg = epocas de la segunda divición
% op == 1 separa la primera divición
% == 2 separa la segunda divición
% e.g.: EEG = dividir(EEG, 75, 7, 3, 'DC_controles_ica.set', 'DC_objetos_ica.set')
function EEG = divi... |
b23df46f076ae264b64c5f05505b439fc6c558070c046da04be3d3cd66473fbf | MATLAB | 1,434 | 56 | function P = fmorph( I, it, mode )
% FMORPH Dilation/Erotion over a forground
% INPUT:
% I - Input tomogram where 2 is foreground and 1 background surface
% it: number iterations
% I: if 1 erode, otherwise dilate
% OUTPUT:
% P: output foreground (2) and background (1)
%
% See also: membl... |
b800da0b46e79b62df910f289810a91002c78beac75bf6cc43586252837392f1 | MATLAB | 1,434 | 38 | function bemf2_graphics_vol_field_log(temp, th1, th2, levels, a, b)
% Volume field graphics: plot a field quantity temp in the observation
% plane using a planar contour plot. Revision 071318
%
% temp - quantity to plot
% th1, th2 - two threshold levels introduced manually
% levels - number of levels in the ... |
fe2dba3c08ef1a4620f89916161fe7b934b1a9f7e1d87c446d4f7cafb1bea2f4 | MATLAB | 1,434 | 33 | function [W_thr, Wcv] = GLB_threshold_consistency(Ws, p)
%THRESHOLD_CONSISTENCY Threshold edges ranked by consistency
%
% W_thr = threshold_consistency(Ws, p);
%
% This function "thresholds" the group mean connectivity matrix of a set
% of connectivity matrices by preserving a proportion p (0<p<1) of the... |
8019e8282cfeeef12a60b5f35bc431e84e189efbc8beb6e8e4af5c75668da81b | MATLAB | 1,435 | 36 | function [fx] = f_rwl2(x,P,u,in)
% modified RW learning rule, with gains/losses asymmetry
% function [fx] = f_rwl2(x,P,u,in)
% This evolution function implements two different models (cf. in.model
% switch). If in.model = 'utility', different weights are given to
% negative, neutral and positive feedbacks. If in.model ... |
df2c9e6c72855392536bfa9261d01a030b54edf7e5dbf47b4c30f36aaa7dbe52 | MATLAB | 1,435 | 54 | function [model] = linregRobustStudentFitUnconstr(X, y, includeOffset)
% Unconstrained optimization of linear regression with student noise model
%PMTKauthor Yi Huang
% This file is from pmtk3.googlecode.com
if nargin < 4
includeOffset = 1;
end
[N, D] = size(X);
if includeOffset
X = [ones(N, 1), X];
D =... |
e66b2e53717044275241d4166222877a0a5d016d99bdd25980d08ea3f43e4ffa | MATLAB | 1,435 | 67 | function error = wlProc_calcWaveErrorAbsolute( ...
bigwave, bigstart, subwave, substart)
% function error = wlProc_calcWaveErrorAbsolute( ...
% bigwave, bigstart, subwave, substart)
%
% This function calculates the "error" between an event waveform and a
% reference waveform.
% The "Absolute" version computes this... |
0ddb699dd7e105a6ab319f2cd4d99433d35604d20b9eadf3bf3e1c168674ffb3 | MATLAB | 1,436 | 57 | function model = gaussFit(X, prior)
% Fit a multivariate Gaussian via mle / map
%
% model = gaussFit(X) % MLE
% model = gaussFit(X, 'map') % MAP with weak prior
% model = gaussFit(X, prior) % MAP, where prior is a NIW model
% with params mu, Sigma, dof, k
%
%%
% This file is from pmtk3.googlecode.com
[N, D] = s... |
1cc186cc72ed48facdd25f272905e9f998c784d054cd858cb0f11677edf73ef6 | MATLAB | 1,436 | 60 | % Checks the index of an image
function [dattype,dat] = iimg_check_indx(dat,volInfo,varargin)
% :Usage:
% ::
%
% [dattype,dat] = iimg_check_indx(dat,volInfo,[outtype])
%
% :Inputs:
%
% **dattype:**
% is 'full' or 'masked'
%
% :Optional Input:
%
% **outtype:**
% 'full' or 'masked' output
%
% ..
% ... |
868c1caa0e269351f25cf1269fc6eee957d5cf06f92029e788c023fe55c2cc07 | MATLAB | 1,436 | 52 | function xticklabelRot(xTickLabels, angle, fontsize, ydelta)
% function xticklabelRot(xTickLabels, angle, fontsize)
% Angle defaults to 90
% fontsize defaults to current
%
% Example:
% figure(1); clf; bar([1 2 3]); xticklabelRot({'foo','bar',22}, 90)
% This file is from pmtk3.googlecode.com
%PMTKauthor Denis Gilber... |
ea8c76e5abcabc273274ba3e6299729cfe893ff634dd073afcc1937fad944532 | MATLAB | 1,436 | 74 | function A=wnorm(L,grid,elecs,p,q);
% calculates inverse operator according to weighted minimum norm
% usage A=wnorm(L,grid,elecs);
% Input:
% L: nchan x nvoxel x 3 tensor of forward leadfield
% grid: nvoxel x 3 matrix of voxel-locations
% elecs: nchan x 3 matrix of electrode-locations
% Output:
% A (3*nvoxel) x ncha... |
538d8a3ddcf2d2af2515c52295cb902fca18be286f125713664051b00a1a2a0c | MATLAB | 1,437 | 42 | function [Data, Header] = y_ReadMat(FileName,MatrixNames)
%function [Data, Header] = y_ReadMat(FileName,MatrixNames)
% Read Mat file into 1D Data and Header. For using DPABI functions
% ------------------------------------------------------------------------
% Input:
% FileName - the path and filename of the image file... |
5ef50f0a8f7850aa25086cee3bf7d5597e3b146ca55546759df13d2faeb6f354 | MATLAB | 1,437 | 43 | function [yhat, yprob] = knnPredict(model, Xtest)
% K-nearest neighbors classifier
% (ties broken by picking lowest class)
% ypredProb(m, :) is the empirical distribution over classes
% This file is from pmtk3.googlecode.com
[yhat, yprob] = knnClassify(model.X, model.y, Xtest, model.K, model.C);
end
function [ypre... |
ddfd6ff4c8e1ae46ac5cfcc41449697101a4ac873007018e9fcec40cae8a0685 | MATLAB | 1,437 | 48 | function shape_classification_save_results_selected_clusters(data)
classes = data.classes;
for i = 1:size(classes,1)
colors{i} = unique(cell2mat(classes{i,4}));
end
colors = unique(vertcat(colors{:}));
c_map = colormap(jet);
c_map = interp1(1:size(c_map,1),c_map,linspace(1,size(c_map,1),max(colors)));
... |
2b47d433c666ee785a19bb395ee26a0ad6189db6cb96698391a761fa5b980c8d | MATLAB | 1,438 | 45 | function [tf,loc] = tblismember(tblA,tblB,flds)
% Finds rows of tblA that match some row of tblB in all fields (aka columns)
% named in flds.
%
% tf is a logical col vector with one element for each row of tblA,
% which is true iff that row of tblA matches some row of tblB
% loc is a numeric col vector with one ele... |
4b5009a6284e9f26342c535ec6cdeba56ef340f806b213dc97f95ad911746c58 | MATLAB | 1,438 | 40 | function pval = lme_mass_LR(statsfull,statsred,q)
% pval = lme_mass_LR(statsfull,statsred,q)
%
% Likelihood ratio test for the random effects. It can be used to test if a
% model with q+1 random effects is significantly better than a model with q
% random effects.
%
% Input
% statsfull: Structure array containing stat... |
8756b20e002fcb3a6ed363cf6763c456bd9ab6021aa6a35b4db439233ca9d7f6 | MATLAB | 1,438 | 48 | function h = hashmd5(inp)
% Computes the MD5 hash of input data.
%
% function h = hashmd5(inp)
%
% Returns a string containing the MD5 hash of the input variable. The input
% variable may be of any class that can be typecast to uint8 format, which
% is fairly non-restrictive.
% This file is part of Manopt: w... |
df480d929989b8bc7a672a4dcb1db68e396edd58b689cfc0206e7ecfa57fe775 | MATLAB | 1,438 | 50 | function [logZ] = mrf2Logprob(model, y)
% logZ(i) = log p(y(i,:))
% We run inference with the y nodes clamped
% This file is from pmtk3.googlecode.com
edgeStruct = model.edgeStruct;
[Ncases Nnodes] = size(y);
nEdges = size(edgeStruct.edgeEnds,1); Nedges = nEdges;
nInstances = Ncases; nNodes = Nnodes;
Xnode = [ones... |
e12097e48fa3117b1d2da910796e1b8fd49f13290f89daab872ad62d36a1a545 | MATLAB | 1,438 | 22 | function addSurroundingCues(dotInfo, screenInfo, indRun, indBlock, indTrial)
% adds the surrounding cues for the next flip
for indAtt = 1:4
CueImg = ['img/', dotInfo.MAT.attNames{indAtt},'Q.png'];
[cueLoad,~,~] = imread(CueImg);
cue2Disp = Screen('MakeTexture',screenInfo.curWindow,cueLoad);
... |
66cda84a9e717bac63b54e8cdb943d75e734681c55c7e903167bf78cab74b7f7 | MATLAB | 1,440 | 60 | %% An illustration of Newton's method in 1D
%
%%
% This file is from pmtk3.googlecode.com
figure('Color',[1,1,1]);
hold on;
xmin = 7.5; xmax = 10;
ymin = -1; ymax = 2.5e4;
domain = xmin+0.2:0.001:xmax;
e = exp(1);
f = @(x) e.^(x);
t = @(x) e^9*x-8*e^9;
plot(domain,f(domain),'-b','LineWidth',3.5);
plot(domain,t(do... |
cbb97fd567d25da3b42fad0dcba56eee264510a2385b9601f8f23954d6d7a8f2 | MATLAB | 1,441 | 65 |
satis_distort = 0;
while ~satis_distort,
k_g_save = k_g;
k_g = input(['Guess for distortion factor kc ([]=' num2str(k_g_save) '): ']);
if isempty(k_g), k_g = k_g_save; end;
x_n = (x - c_g(1))/f_g;
y_n = (y - c_g(2))/f_g;
[x_pn] = comp_fisheye_distortion([x_n' ; y_... |
ccccfa82da4e9e9a001fb5951546bc18aad9e0b65eb3d554b329783097a37cfb | MATLAB | 1,441 | 48 | function y = ttsv(A,x,n)
%TTSV Tensor times same vector in multiple modes.
%
% Y = TTSV(A,X) multiples the tensor A by the vector X in all modes.
%
% Y = TTSV(A,X,-1) multiplies the tensor A by the vector X in all modes
% but the first. Returns the answer as a normal MATLAB array (not a
% tensor).
%
% Y = TT... |
d5accf2913d65328d942de2e52da642fc1253f6b6e0b126561f03b51d9ec7952 | MATLAB | 1,442 | 44 | function [val, varargout] = VBA_maxMat (A)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [maxVal, idx1, idx2, ..., idxn] = VBA_maxMat (A)
% Find maximal value and its position in the matrix A.
%
% IN:
% - A: n-dimensional matrix
% OUT:
% - val: maximal value in A
% - idx1, idx2... |
3b1a4470baaa01d8567fc07fd3d47a1064e1d31a24d0b39fdf8c4897be6a5b23 | MATLAB | 1,443 | 45 | function f = drawcircularblur(imagesize,amt,amtin)
% function f = drawcircularblur(imagesize,amt,amtin)
%
% <imagesize> is number of pixels along one side
% <amt> is fraction of radius for blurred border on the outer edge.
% can also be [X Y] where X is the fraction of radius offset from
% the outer edge at which ... |
b599122106cf4c834a3baa30a2b0e627e121119754a2aa9299272ba58e7840b0 | MATLAB | 1,443 | 47 | function [y, initSupport] = setSupport(labels, newSupport, initSupport)
% Transform the support of the labels from one space to another
% i.e. from say [0, 1] to [-1 1] or {'setosa', 'versicolor', virginica'} to
% 1:3.
%
% This is a generalization of canonizeLabels to arbitary spaces.
%
% If the input labels do not ... |
ba1a666d6a7ada6e77ffe47f30d367f28fed2997c3d1032a55af953dfcec45ac | MATLAB | 1,443 | 49 | function makeTestDemos()
%% Make the testDemos script
% This file is from pmtk3.googlecode.com
error('deprecated')
exclusions = {'PMTKbroken','PMTKinprogress', 'PMTKinteractive', 'PMTKreallySlow'}; % commented out in runDemos.m
demos = filenames(processExamples({}, exclusions, 0, false));
text = {'function testDe... |
bb4b96ae4e3b7c15b89da5aa3fb9979ae8cdb513badbc92b79db000b0f479f1b | MATLAB | 1,443 | 54 | function w = get_weights(x,y)
% [const,w,allw,Imat] = get_weights(x,y)
%
% This function performs a regularized linear regression to retrieve the
% kernels describing the selectivity of a single neuron
% GLOBAL VARIABLES: this function assumes the definition of global
% variable "glm" that defines a series of hyperp... |
e54d53a9bb04afaef055e218fda07cf0e8db87d03da635a8551a3605868fde88 | MATLAB | 1,443 | 76 | function [dips,c]=para2res(para,ndip,xtype);
[n,m]=size(para);
if m==1
m=n;
end
if nargin<3
xtype='imag';
end
c=zeros(ndip,ndip);
switch(xtype)
case{'imag'}
nc=ndip*(ndip-1)/2;
count=1;
for i=1:ndip
for j=i+1:ndip
c(i,... |
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