sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
eb3c587338b45b9a3de71434dc3ffa20df7073dda7fbeebe5425741cf14fbe8a | MATLAB | 2,464 | 132 | %{
_ _
___ _ __ __ _| |__ ___ ___ _ __| |_
/ __| '__/ _` | '_ \/ __|/ _ \| '__| __|
| (__| | | (_| | |_) \__ \ (_) | | | |_
\___|_| \__,_|_.__/|___/\___/|_| \__|
# NNtimer
**Syntax**
```
C.NNtimer(~,~)
```
**Description**... |
fc11e1f9fa153853bf782b8c507231df4ce9e3dcf109174bde8fea2a4ed789e5 | MATLAB | 2,464 | 103 | % 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,... |
35adc6210af35b4d8320d55af4e41e83ea8e43ff102043ae797677967ca51166 | MATLAB | 2,465 | 55 | % To get to know dataspace, selection "..?/Introduction to Dataspace" from
% the main menu of the Dataspace-App or type in Matlab:
% dspace.help('dspace.resources.docs.Introduction_to_Dataspace')
%% IRIS Dataset
load fisheriris;
X = meas.';
Y = species;
irisData = table(X(1, :)', X(2, :)', X(3, :)', X(4, :)',... |
cd9ecaebe6e891f0ccefc71946ef0dd7234f99962b1aea76fdee4ef5ba15c42d | MATLAB | 2,465 | 47 | clear all
%%
%Define default parameters
[opt] = ParameterOptions();
%%
%Modify options for time dependent framework - designed to accelerate the estimation
opt.Precision=10^-10; % Cut off for pathway amplitudes
opt.nPeriods=2; % Maximim number of TRs in the transverse plane per dictionary el... |
56489aebeaddafe02ba113a5876e22ca223556ecd865ca64205f84b515b867f0 | MATLAB | 2,466 | 91 | function printstruct_as_table(s)
% PRINTSTRUCT_AS_TABLE prints a struct-array as a table in Markdown format
%
% Example
% s(1).a = 1
% s(1).b = 2
% s(2).a = 3
% s(2).b = 4
% printstruct_as_table(s)
%
% See also PRINTSTRUCT, APPENDSTRUCT
% Copyright (C) 2017-2019, Robert Oostenveld
%
% This file is part of F... |
5b9220657a62a1a867c53a6986c6717dab0b54e1feea5ab8098a19ef0a96c02c | MATLAB | 2,467 | 89 | %% autocov_to_pwcgc
%
% Calculate pairwise-conditional time-domain MVGCs (multivariate Granger causalities)
%
% <matlab:open('autocov_to_pwcgc.m') code>
%
%% Syntax
%
% F = autocov_to_pwcgc(G)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% G aut... |
740631a9f0836937b7224e53a508681aa72163d124a74d84a7753052f590210b | MATLAB | 2,467 | 111 | function hout=suptitle(str, fs)
%SUPTITLE Puts a title above all subplots.
% SUPTITLE('text') adds text to the top of the figure
% above all subplots (a "super title"). Use this function
% after all subplot commands.
% This file is from pmtk3.googlecode.com
%PMTKauthor Drea Thomas
%PMTKdate June 15, 1995
%PMTKemai... |
e2e4d2b0405a87959c5654376df726004cbbf32c52e958e11ef17c4809cbefcf | MATLAB | 2,467 | 102 | %
%PMTKauthor Chris Williams
%PMTKdate 22 October 1996
%
% script for generating data from a GP (with nncovfn), so as to be able to
%compare finite and infinite networks (1d, not 2d)
%
clear
close all
global XVEC XTEST;
XVEC = -5:0.02:5;
XTEST = [-0.27 0.454654]; % dummy
ndat = size(XVEC,2);
varnoi = 1e-10;
ra... |
ff7c8a820b5f8e882ee17c660ddc5fde9fe9130e925359c570281d93964fbf3e | MATLAB | 2,467 | 64 | function optoStim = make_opto_stimulation_file(basepath,varargin)
%Make opto event files associated with stimulation and detection file loads
% the processed digitalin.events file and retrieves the TTL pulses from
% the online detector.
% input:
% basepath: path (char/string) to data location of digitalin.events.ma... |
188eed3e5b4f8dbd8ce746a19efd1ebd3ed5c892b77f293002672d183fe921fd | MATLAB | 2,468 | 87 | clear all;
freq = [1000;1020]; % Hz
amp = 0.4*[7,-7]; % [35;5]; % No unit
Fs = 18; % kHz
Twidth = 200;
% Nullclines
% dV/dt = V-V^3/3-W+I
% dW/dt = 0.08(V+0.7-0.8W)
fig=figure('position',[100 100 850 600]);
ax1 = subplot(4,1,1);
hold on;
Vgrid = -5:0.05:5;
W1 = Vgrid-Vgrid.^3/3;
W2 = (Vgrid+1)/0.01;
%vnull ... |
7152f5bbe8902b28c26e83a983f25a59cb9d4fb307351bef429099ab3f1a40f9 | MATLAB | 2,468 | 66 | function h_zoomOut3(handles)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
xlim = get(handles.imageAxes,'XLim');
ylim = get(handles.imageAxes,'YLim');
[x_lim,y_lim,z_lim] = h_getLimits3(handles);
if isfield(currentStruct.state,'lineScanDisplay') && currentStruct.state.lin... |
62be5c002dc3fadf92edead21b39dcfbbf93865a8d87d40d74bd5a859989c4a0 | MATLAB | 2,469 | 85 | %% Imputation for a mixture of Gaussians
% PMTKneedsStatsToolbox regstats
%%
% This file is from pmtk3.googlecode.com
function mixGaussImputationDemo()
requireStatsToolbox
%% Make data
setSeed(1);
%d = 10; n = 100; pc = 0.5;
d = 10; n = 500; pc = 0.1;
K = 5;
mu = rand(d,K); mixweight = normalize(rand(1,K));
Sigma =... |
6eb7136da8a7081d4c8ef98532367427ec4ca952ae2ea0b63473b37d27925ef5 | MATLAB | 2,469 | 77 | clear;clc;
%% parameters
params = struct('a',1.6e-2,'n',4,'beta',10,...
'ind_input',[11],'ind_output',[13,14],...
'u_input',[0,-0.005*9.8],'u_output',[0,-5e-4;0,-8e-4]);
% change the u_output to be [0,1;0,0] if you use cross entropy loss
[DT,bonds] = Triangle(params);
n_spring = size(bonds,1);
w1 = 1.5*10^(-3)... |
b7182b0caaf936cf4c68659a31a6857bf6e08bfa3106a040df62514c11c3395b | MATLAB | 2,469 | 87 | function [IL_PET] = IL_PET_atlas(PET_scan,MRI_atlas)
save_imgs = 0;
%% Slices
regions = cell(6,1);
regions{1,1} = [83 75;90 75;91 96;83 96]; %slice=155
regions{2,1} = [83 75;90 75;91 96;83 96]; %slice=156
regions{3,1} = [83 75;90 75;91 96;83 96]; %slice=157
regions{4,1} = [83 75;87 75;87 96;83 96]; %slice=158
regio... |
58e0fe84ae7eb53376b460a9708990c29ac6a02e5d2d87b7c2e8078295465762 | MATLAB | 2,470 | 75 | datRoot = '/Volumes/LaCie/Farries recordings/';
% choose rat
rat = 'IM1261';
sesList = dir([datRoot rat '/20*']);
sesList = arrayfun(@(x) x.name, sesList, 'UniformOutput', false);
% list sessions
sesList = dir([datRoot rat '/20*']);
sesList = arrayfun(@(x) x.name, sesList, 'UniformOutput', false);
for i = 1:length(se... |
a110e48c160c4cf6c072a480ec8d9a9cc032ccc2cdd5020cc00249696b886cd1 | MATLAB | 2,470 | 107 | clear;
clc;
srate = 500;
n_subjects = 6;
%%
hist_data = [];
for isub = 1:n_subjects
load(['zs' num2str(isub) '_cho_method_seeg_rest_v1.mat']);
load(['zs' num2str(isub) '_limbic.mat']);
start_time_ch = [];
start_time_tp = [];
n_trials = size(method_outputs,2)... |
b064f5479ac2ff0d0f1f26c6210c780c30f4e6b07535722f8f4cf4c3df966b99 | MATLAB | 2,471 | 68 | function [sourcemodel] = lbex(cfg, sourcemodel)
% This function will add the field "subspace" to the sourcemodel definition.
%
% The subspace projection is based on the LBEX (local basis expansion)
% method.
% set the defaults
if ~isfield(cfg, 'lbex'), cfg.lbex = 3; end
if ~isfield(cfg, 'lbexeigtol... |
d8ef4edc8b0d0bc26516be39f758bfd1a3222197880618c35801536bda8ceb80 | MATLAB | 2,471 | 64 | % This script plots mesh cross-sections and NIfTI data when availble
%;
% Copyright SNM/WAW 2018-2023
%
addpath('../engines/graphics');
VT = VT1;
f = figure('WindowState','maximized');
%% below is XY-code
z = Z(1);
% Display NIFTI slice
I = round(z/d1d2d3(3) + N1N2N3(3)/2);
S = VT(:, :, I)'; % choose the... |
b63e88f2e478e0b6ed494d3716140530b335f4fd72c58ed01be5dcf9bffc1e25 | MATLAB | 2,472 | 81 | function [posterior, out] = demo_VolterraKernels ()
% // VBA toolbox //////////////////////////////////////////////////////////
%
% demo_VolterraKernels ()
% demo of Volterra kernel estimation and use
%
% This code demonstrates how to extract Volterra kernels from a
% dynamical system trajectory. In this particular exa... |
b9140ac7d0d1c1fb16f596e6fbf3907777a80668634f702271d564753b8b971b | MATLAB | 2,472 | 92 | % generate a video with randomly oriented squares and its corresponding trx
% file.
nframes = 30;
n = 5;
imsz = [200,200];
locs = [50 50
100 100
150 50
50 150
150 150];
sz = 10;
vid_file = '/home/mayank/temp/test_apt.avi';
trx_file = '/home/mayank/temp/test_apt_trx.trx';
%%
trx = stru... |
ea64c8360f14016d4aa5366f0f862d799bcc13e5ca8cb7841288878b0ace9aed | MATLAB | 2,472 | 89 | function structList = VBA_factorial_struct (varargin)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% structList = VBA_factorial_struct (param1Name, param1Values, param2Name, param2Values, ...)
% Create an array of structures with fields 'param1Name', 'param2Name', ...
% whose values, a... |
5bd844b5d1d123ae24ce8007c6a03bc94f39caf455bfd05ef638123660bb552b | MATLAB | 2,473 | 95 | function headmodel = ft_headmodel_simbio(mesh, varargin)
% FT_HEADMODEL_SIMBIO creates a volume conduction model of the head
% using the finite element method (FEM) for EEG. This function takes
% as input a volumetric mesh (hexahedral or tetrahedral) and
% returns as output a volume conduction model which can be used ... |
8dd3d3e7384eaa9fb3eff3ebb214154bde00e3847af88fce1e6702d126d91d3b | MATLAB | 2,474 | 71 | function varargout = dsxy2figxy(varargin)
% dsxy2figxy -- Transform point or position from axis to figure coords
% Transforms [axx axy] or [xypos] from axes hAx (data) coords into coords
% wrt GCF for placing annotation objects that use figure coords into data
% space. The annotation objects this can be used for are
% ... |
b5efed5c6eb914e8a42ea7909af539b54f9900d1088f2fffafdbf1869b2c641d | MATLAB | 2,474 | 64 | function B = fevalArrays( A, fHandle, varargin )
% Used to apply the same operation to a stack of array elements.
%
% The only constraint on the function specified in fHandle is that given
% two differrent input arrays a1 and a2, if a1 and a2 have the same
% dimensions then the outputs b1 and b2 must have the same dime... |
402a4e27625c987f6dd9ddf566165d7efab1d3e9a30ca7daac6470c33a462f41 | MATLAB | 2,475 | 83 | function [blockOrder, attBlockOrder, targetBlockOrder, cueBlockOrder, targetTypeBlockOrder, targetPedestalBlockOrder] = ...
block_gen2(blockNames, attBlockNames, targetBlockNames, cueBlockNames, run)
%% setup
blank = find(ismember(blockNames,'blank'));
fast_side = find(ismember(blockNames,{'fast-left','slow-left'}... |
b9edac7a142cba7da0f75049f6cc53ce3caa38509e218b2373dce5b8de228588 | MATLAB | 2,475 | 76 | function [tok] = tokenize(str, sep, rep)
% TOKENIZE cuts a string into pieces, returning the pieces in a cell array
%
% Use as
% t = tokenize(str)
% t = tokenize(str, sep)
% t = tokenize(str, sep, rep)
% where
% str = the string that you want to cut into pieces
% sep = the separator at which to cut (default ... |
473cb388dbbe8e7fe3a14f128859d056f867fa5037b517e3131068226c327e4c | MATLAB | 2,477 | 68 | function [connmat] = triangle2connectivity(tri, pos)
% TRIANGLE2CONNECTIVITY computes a connectivity-matrix from a triangulation.
%
% Use as
% [connmat] = triangle2connectivity(tri)
% or
% [connmat] = triangle2connectivity(tri, pos)
%
% The input tri is an Mx3 matrix describing a triangulated surface,
% containing i... |
b73484a7e7db54cf8e53424a2e0ed31adc75dba898a01a2d237aadd4103d6e03 | MATLAB | 2,477 | 59 | function ContinouousPlayback(FIGHANDLE,PLAYBACKON,ImageArray,PauseInterval,IntensityLimits,AllBoutonsRegion,BorderLineStruct,HighlightFrames,HighlightColor,MovieColormap)
figure(FIGHANDLE);
set(FIGHANDLE,'WindowKeyPressFcn',@Navigation_KeyPressFcn)
LastRangeNumber = size(ImageArray, 3);
ImageNumber=0;
... |
d4e4ac272d961c22820aa582b6064446966ce6a1cca088152c330bb605d95d87 | MATLAB | 2,477 | 96 | %% Demonstrate a non-parametric (parzen) density estimator in 1D
%%
% This file is from pmtk3.googlecode.com
function parzenWindowDemo
setSeed(2);
%[data, f] = generateData;
% http://en.wikipedia.org/wiki/Kernel_density_estimation
data = [-2.1 -1.3 -0.4 1.9 5.1 6.2]';
f = @(x) 0;
n = numel(data);
domain = -5:0... |
93f725e76aa8b89046694123d877a83beb1f9e3d086462614d9de71ee0c38f40 | MATLAB | 2,478 | 81 | % demo VB-learning (free learner)
% This demo simulates a VB agent that reacts to outcomes by choosing the
% action that maximizes the expected gain. Here, the agent learns the
% distribution of outcomes associated with each available action. The key
% trick is that this distribution is summmarized in terms of its two ... |
429d244b6d988ebdfececbfbf2b42943a0d5fd9598f7b13389a6b0da90bd3321 | MATLAB | 2,479 | 88 | function M = VBA_spm_mesh_inflate(M,T,S)
% Surface mesh inflation
% FORMAT M = spm_mesh_inflate(M,T,S)
%
% M - surface mesh structure (see patch) or GIfTI object
% or handle to a patch in a figure
% T - number of time steps [default: Inf (auto)]
% S - update display every S time steps [d... |
e7301176b239b626c4c63dda0c56b7e2c22ff12b534108bdc1e37b329f01588d | MATLAB | 2,479 | 85 | function [AUC, cutoff, EER, fpr, tpr] = rocPMTK(confidence, label)
% Compute ROC curve
% confidence(i) is a real value
% label(i) is 0 or 1
%
% AUC is area under curve
% cutoff is the threshold that gives equal error rate (EER)
% EER is the fpr=tpr at cutoff
% fpr(t) is false positive rate for threshold t (x ax... |
047cfaff084ee6020f63ea3888f58c7ae0371c7de659dcb8d918dc06938fc20a | MATLAB | 2,480 | 88 | function [ax,hl1,hl2] = plotxx(x1,y1,x2,y2,xlabels,ylabels);
%PLOTXX - Create graphs with x axes on both top and bottom
%
%Similar to PLOTYY, but ...
%the independent variable is on the y-axis,
%and both dependent variables are on the x-axis.
%
%Syntax: [ax,hl1,hl2] = plotxx(x1,y1,x2,y2,xlabels,ylabels);
%
%Inputs: ... |
0a58b9a2cb844e6c1818acd01caa3dc8fff6f5283634cc8b8c54a4e765f7b781 | MATLAB | 2,480 | 43 | function bool = isoctave()
%ISOCTAVE True if the operating environment is octave.
%
% Usage: t = isoctave();
%
% ISOCTAVE returns 1 if the operating environment is Octave, otherwise
% 0 (Matlab)
%*****************************************************************************
% Copyright (c) 2010-2012 Quality & Us... |
5b64dd327beb284ceb07616227683329d86eb21098c700de7f4c27f186bdc9d3 | MATLAB | 2,480 | 78 | function FM = ft_preproc_online_filter_init(B, A, x)
% function FM = ft_preproc_online_filter_init(B, A, x)
%
% Initialize an IIR filter model with coefficients B and A, as used in filter and butter etc.
% One sample x of the signal must be given as a column vector.
%
% This function will calculate the filter delay st... |
a8f3710f540232cca078c1dede5764ae76edcbab043efb9f72b5bc981a006622 | MATLAB | 2,481 | 106 | %% Gauss Imputation Demo
% PMTKneedsStatsToolbox regstats
%%
% This file is from pmtk3.googlecode.com
function gaussImputationDemoEM()
requireStatsToolbox
%% Make data
setSeed(1);
d = 20; n = 100; pcMissing = 0.5;
mu = randn(d,1); Sigma = randpd(d);
trueModel = struct('mu', mu, 'Sigma', Sigma);
Xfull = gaussSample(t... |
96ed511b0a4c8fd189fd7af790acf0a301f582135da8df6b7387e960b729b969 | MATLAB | 2,482 | 82 | function [stimulus, response, segment, timezero] = read_brainvision_vmrk(filename)
% READ_BRAINVISION_VMRK reads the markers and latencies
% it returns the stimulus/response code and latency in ms.
%
% Use as
% [stim, resp, segment, timezero] = read_brainvision_vmrk(filename)
%
% This function needs to read the head... |
83a211e975c45577c437dec78778fbe3deaf84fdfb7244151c59c1884a0aaa10 | MATLAB | 2,483 | 54 | function plot_PSDs
load PSD_data
if ~exist('./figures/PSD','dir')
mkdir('figures/PSD');
end
for i=1: length(all_PSD)
f=figure(i);
if isfield(all_PSD,'PSD_F_awake')
ax= subplot(1,2,1);
title(strcat(['channel: ' num2str(all_PSD(i).CSCchannel) ' awake'])); hold on
u= plot(all_PSD(i).... |
ccaa8d12f7c8f6e858e3f94a13830195c447ae12268542ae09f412f94c42b9f8 | MATLAB | 2,485 | 68 | function [subs,vals,keepLocs] = nonMaxSuprWin( subs, vals, ...
strLocs, endLocs, thresh, maxn )
% Nonmaximal suppression of values outside of a given window.
%
% Suppresses all location in subs that do not fall in given range (defined
% by strLocs and endLocs). For example, if subs are 3D coordinates of
% maxes over... |
cdf9f1a262363c06affefcacd8f96dc7c130935c52ec4df8e92ef13835419839 | MATLAB | 2,485 | 62 | function [triggerUpdateFcn] = waitbarParfor(totalLoops, varargin)
%waitbarParfor Waitbar implementation for parfor loops.
% [triggerUpdateFcn] = waitbarParfor(totalLoops) creates a waitbar for use in parfor loops. totalLoops indicates the number of loops until
% completion. Use the triggerUpdateFcn to increm... |
da677dc9b5d56bd52db02c24d6b7a49b2e4013ba613a7f87d94d70adba8e7786 | MATLAB | 2,485 | 94 | function artifactstruct = wlFT_getEventsAsArtifacts( ...
eventmatrixdata, ftlabels, bandwanted )
% function artifactstruct = wlFT_getEventsAsArtifacts( ...
% eventmatrixdata, ftlabels, bandwanted )
%
% This function converts an "event matrix" structure as described by
% EVMATRIX.txt into an artifact definition str... |
e4edcf8d27e3ccdf39bae3b316a7d8aac71e688edf5c76174c6ef0b5e69e1c03 | MATLAB | 2,485 | 85 | %%
projfile = '/groups/branson/bransonlab/mayank/temp/fly245_trk_2017212.lbl';
J = load(projfile,'-mat');
for ndx = 1:size(J.movieFilesAll,1)
trk = [];
for view = 1:2
J.movieFilesAll{ndx,view} = strrep(J.movieFilesAll{ndx,view},'\','/');
% for 220
% J.movieFilesAll{ndx,view} = ['/groups/branson/branson... |
ac94122c71cf9136cde882aae6a22389d0907db2709ea42aabb1a25ee0a05859 | MATLAB | 2,487 | 79 | function h = HumanOdorRep_plot_raster(spikes, x, condition, plot_colors, linewidth)
%% function h = HumanOdorRep_plot_raster(spikes, x, condition, plot_colors,linewidth)
% creates raster plot of spike-times
% spikes is expected to be a cell array of vectors of spike-times
% per trial (e.g. spikes{trialnr} = [-199, 20, ... |
e4f08641612ef0d375ba728c0c39dd6fbfd1838b65f075a862dc43a2c42a96e4 | MATLAB | 2,487 | 94 | function Par = CircleFitByPratt(XY)
%--------------------------------------------------------------------------
%
% Circle fit by Pratt
% V. Pratt, "Direct least-squares fitting of algebraic surfaces",
% Computer Graphics, Vol. 21, pages 145-152 (1987)
%
% Input: XY(n,2) is the array of coordinate... |
faff7e4969d65923adbc20251c9c06b768177ef910984a9af6f3525370dccf7d | MATLAB | 2,487 | 92 | function vol = read_hdr(fname)
% Get a variety of information from a NIFTI header
% FORMAT vol = read_hdr(fname)
% fname - filename of image
% vol - various bits of information
%__________________________________________________________________________
% Copyright (C) 2005-2018 Wellcome Trust Centre for Neu... |
da25d7a602d07dc30888b45d46b4cae7323effe9312e163f32cfc2361fa6f23e | MATLAB | 2,488 | 89 | function ColorSet=varycolor(NumberOfPlots)
% VARYCOLOR Produces colors with maximum variation on plots with multiple
% lines.
%
% VARYCOLOR(X) returns a matrix of dimension X by 3. The matrix may be
% used in conjunction with the plot command option 'color' to vary the
% color of lines.
%
% Y... |
f36764eae9de98a31686c05fd5683c37e00a18853f430562f8df0cf4a22d9c50 | MATLAB | 2,489 | 97 | % to read in an lfp trace from during an in vivo ORCHID experiment
% in the form of an xlsx file.
% it saves a figure of the trace
function [lfp, lfptime] = read_in_lfp (path_lfp, path_results, date, cell_num, trace_num, cf)
fn = date + "_" + cell_num + "_" + cf;
xlname = fn + "_LFP.xlsx";
path_lfpfile = fullfile ... |
f627b0164ae93d90b5ae538867ea465389880fc205831dc027e24443f9b190bd | MATLAB | 2,489 | 72 | function [x, ut, ori, sin_val] = svdfft(f, n, trltapcnt)
% SVDFFT computes a rotated FFT matrix, using the real part of the
% cross-spectral density matrix. This rotation ensures that the phase
% relationship of the underlying sources does not change, while rotating
% the channels such that the first channel contains ... |
bb85f86797c50cd541ab46b6f1dec94bbdada37592e31e40fa372ae51cf27221 | MATLAB | 2,490 | 75 | % AUTHORSHIP
% Math Lead & Primary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Secondary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Funded by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
%
classdef SuhProba... |
4f5911600627a68ca761c05da0c6c29b68274e5b2b21899887911ee6ebb8579c | MATLAB | 2,491 | 77 | function [trl] = ft_trialfun_twoclass_classification(cfg)
% FT_TRIALFUN_TWOCLASS_CLASSIFICATION
%
% This trial function can be used to train and test a real-time
% classifier in offline and online mode. It selects pieces of data
% in the two classes based on two trigger values. The first N occurences
% in each class a... |
210973562da410bed26a34642a2b7f8c2cc7d8c581d2f35d824a5a297870ca9d | MATLAB | 2,492 | 77 | function [mi,nbins] = mutualInfoAllPairsMixed(XD,XC,varargin)
% compute the mutual information between discrete and cts variables.
%[mi,nbins] = mutualInfoAllPairs(XD,XC,[levels,method,smoothing])
% XD is N*DD discrete data (can be [])
% XC is N*DC cts data (can be [])
% PMTKneedsStatsToolbox hist3
% optional argument... |
24ad206518cf9d764121093e7a88bc264e9bc2665ca1fdc652ace67181341804 | MATLAB | 2,492 | 97 | % BrBG_cmap.m
% reference: https://colorbrewer2.org/#type=diverging&scheme=BrBG&n=8
function c = BrBG_cmap(m,varargin)
%== Setting default
if nargin > 0
m = convertStringsToChars(m);
end
if nargin < 1 || isempty(m) || ~isnumeric(m)
m = 11;
end
if ~isscalar(m)
m = m(:);
end
m = max(abs(fix(m)), 3);
m = mi... |
52fc4c0509f52f8db132e26107087fffe79797d10bd93a950e29452b1cdf52d0 | MATLAB | 2,492 | 70 | function [par] = defParam(sess, dat_path)
% loadParam: assign parameters for neuropixel sessions
% Detailed explanation goes here
switch sess
case 1
par.date = '201211M';
sess = 1;
par.recordingName = '20201211_Mars_g0_t2_LIP';
case 2
par.date = '201030M';
... |
9e9262bce7077a45db13c3d37a02dd5b07d97a9c52f22320e2fe007df9375bcc | MATLAB | 2,492 | 107 | % 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,... |
154d8432b285a6afe35512002d8bb942281f512f397a0c8bfc20c5bc839f1948 | MATLAB | 2,493 | 94 | %% Create HBM2024 table
% _________________________________________________________________________
%
% Robert Dahnke & Polona Kalc
% Structural Brain Mapping Group (https://neuro-jena.github.io)
% Departments of Neurology and Psychiatry
% Jena University Hospital
% _____________________________________________________... |
7ce9871a830d6d00deb0a2518e8aec97a8f4e1bd35a19d67a01f06eac61fa518 | MATLAB | 2,493 | 80 | function [res] = detectionBadChannels_Algorithm( data, thr )
res1 = zeros(size(data.label,1),size(data.trial,2));
res2 = zeros(size(data.label,1),size(data.trial,2));
checkData = data.trial{1,1};
sizeTrialData = size(checkData,1);
% standardize each channel
for indexe = 1:sizeTrialData
... |
85486764a481d8f9f5a2de243d6f2558a04c0717f6a0a20969217656e69a4656 | MATLAB | 2,494 | 84 | function M=movpwdph(N,Np,typesig);
%MOVPWDPH Influence of a phase-shift on the interferences of the pWVD.
% M=MOVPWDPH(N,Np,TYPESIG) generates the movie frames illustrating the
% influence of a phase-shift between two signals on the interference
% terms of the pseudo Wigner-Ville distribution.
%
% N : number of poi... |
94976c5ef683958910d77c645bc0448414f57eaf00690ed7fdd5404cd1b0f4d1 | MATLAB | 2,494 | 86 | function x=ifmt(mellin,beta,M);
%IFMT Inverse fast Mellin transform.
% X=IFMT(MELLIN,BETA,M) computes the inverse fast Mellin
% transform of MELLIN.
% WARNING : the inverse of the Mellin transform is correct only
% if the Mellin transform has been computed from FMIN to 0.5 Hz,
% and if the original signal is analytic... |
951f211da19c47953b10b90f0eb3346f29f69e38259711badc60f61fa18e2377 | MATLAB | 2,494 | 104 | function LAN = lan_segment_selected(LAN,seg_time,overlap)
% <??LAN)<] toolbox
% v.0.3
%
% Segment a continuos recording of previous segemnted recording in
% selected araes.
% seg_time = [] for segmented by exact time of each selected areas
% [s] for s second windows in the selected areas,
% over... |
5a6b8f04aec27b51019217a4f3a10a5d815c458213b047ee502414cc7251b8c7 | MATLAB | 2,495 | 65 | % JPSTH calculates jpsth for two spike counts aligned around an event
% jpsth.m
%
% Copyright 2008 Vanderbilt University. All rights reserved.
% John Haitas, Jeremiah Cohen, and Jeff Schall
%
% This file is part of JPSTH Toolbox.
%
% JPSTH Toolbox is free software: you can redistribute it and/or modify
% it under ... |
f08fac29e182a2bc2717b3048caa2918c5c4098413205226adb41ffcdbd1e9c4 | MATLAB | 2,495 | 74 | function timefreq_1level(LAN,cfg)
% LAN trabajando
% v.0.0.0
%
%
ntype = getcfg(cfg,'type','glm');
ncond = getcfg(cfg,'cond','all')
switch ntype
case 'glm'
if iscell(LAN)
if any(isnumeric(ncond))
LAN = LAN(ncond);
end
for lan = 1:length(LAN)
if lan == 1
... |
0d0cd0962330b5863a25301ae5ce36974028ddee214b3c9cfd2273d2ad4e96cb | MATLAB | 2,496 | 68 | % TSDEFINETRIALTYPE Define a trial type.
% TSDEFINETRIALTYPE(TRIALNAME,CODES) defines a trial named <TRIALNAME>
% where <TRIALNAME> is a name of your choosing, such as, for example,
% "CS1". CODES sequence of MATCHCODES specifying what constitutes this
% kind of trial--see TSmatch for an explanation of match... |
6b0d2ae7be0b565b84f37f2207dafaf24c24d6b7f470b10b4b76d06291132c81 | MATLAB | 2,496 | 88 | function [Mnew,PCout] = step1_PCA(M,Npc_max)
%STEP1_PCA Apply Principal Component Analysis
% INPUTS
% M matrix Npix X Nt - movie image
% Npc_max scalar - number max of principal components
% OUTPUTS
% Mnew matrix Npix X Nt - centralized movie image used for PCA
% PCout ... |
b07aadccd88b7598fe7fe59730b2b71d1bd3be2c473a030f409e735046fbb470 | MATLAB | 2,496 | 61 | % Main script for the Behavior analysis for Control periods
% By: xinyuan Zheng Jan 18 2022 - xinyuan.zheng@yale.edu
%% paths
clear; close all;
group = 'BehControl_1uA';
datapath = 'F:\xinyuan\Mouse Project\Behavior_partial_confirmed_LOVO';
res_path = 'F:\xinyuan\Mouse Project\Results';
%% important variables
na... |
cee257e94869dcdbadee87f16bffd1b91e8c100d3d30f5449530d1142d43fa06 | MATLAB | 2,497 | 63 | function EWsig=McNemar_Figs2(dataOut,IM,B,params)
% Plot network pairs meeting significance
if ~exist('B','var'),B=1;end
Pth=0.05./B;
PthMcN=0.05;
[NNidx,Tidx,TNidx]=IM2idx(IM);
Npairs=length(TNidx);
Nnets=max(IM.key(:,2));
NetKey=[[1:Nnets]',[1:Nnets]'];
%cMap=[1,1,1;0,0,0];
%% Significant stats by network block
gt... |
09d6eaadfaa27d24ce2ccb453ecadbb73e2942fa0dd873eb1af637f1a38d7acd | MATLAB | 2,499 | 59 | function [ titleStr, settings, results ] = deleteGraphs( dataview, settings )
% This function removes one or more graphs from the datasource.
%
%
%
%<PRE>
% This file is part of dspace-core.
%
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% This program is free so... |
885e4342bc2fef35a1cce48b5bbaa7fb95b8f82d299e0f8c4ee8aa5bfabc4f63 | MATLAB | 2,499 | 110 | function[AIF_v, t_IDIF_virtual,par_names,p_est,cv_est,rho2,W] = feng_fitting(IDIF_raw,t_IDIF_emi,t_IDIF_delta, obj_fun_choice, par)
%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% FIT del modello sulla IDIF %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
t_fit = t_IDIF_emi/60;
%t_fit_delta = t_IDIF_delta/60;
t_end = t_IDIF_emi(end)... |
8bec1bc80b14f05c78ba7c2f170a7863484646026e68be70f3d92ad755376bfc | MATLAB | 2,499 | 90 | function flip_endianness(imgs)
% Flips fMRI images (swap R/L)
%
% :Usage:
% ::
%
% [Vimgs] = flip_endianness(imgs)
%
% ..
% Author and copyright information:
%
% Copyright (C) <2006> <CANLab>
% Written by Tor? Documented by Marianne
%
% This program is free software: you can redistribute it and/or ... |
a32a38802168fad7ad933e7bbcaec0d13825dd1fc93d5b2bbe74e01f7f13d85b | MATLAB | 2,499 | 67 | % Author: Javier Lopez-Calderon
% Newencode Analytics
% www.newencode.com
% Talca, Chile
% 2022-2023
%
% This function gets all the filenames within a folder (pathname) with an
% specific extension (dataExt). Additionally, it searches for a common string
% among the found filenames located at the end of their names.
%... |
96e8b2d00ec5583e9406252d4e39672da5a0e75bc9eb1783cafa60bc862b593b | MATLAB | 2,500 | 82 | %init_intrinsic_param_fisheye
%
%Initialization of the intrinsic parameters.
%Runs as a script.
%
%INPUT: x_1,x_2,x_3,...: Feature locations on the images
% X_1,X_2,X_3,...: Corresponding grid coordinates
%
%OUTPUT: fc: Camera focal length
% cc: Principal point coordinates
% kc: Fisheye distortion coe... |
f80bb8eb7160c784c21d16786f8fb2baefd5a9d9746a1514d59a32b1221d1933 | MATLAB | 2,500 | 76 | function [fx, dfdx, dfdp] = f_QlearningAsym (x, P, u, in)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [fx, dfdx, dfdp] = f_QlearningAsym (x, P, u, in)
% Reinforcement-learning evolution function for a n-armed bandit task with
% asymmetric learning for positive and negative feedbakcs... |
ff75b27e7efcd63e0839436021808cb7c471cc793a77ac79fb90dedc48e24831 | MATLAB | 2,500 | 79 | function [posterior, out] = demo_staticModel ()
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [posterior, out] = demo_staticModel ()
% Demo of simple linear Bayesian regression
%
% The problem is to fit observations with a linear combination
% of regressors. Formally, this can be writt... |
740a39f5184c190f2ef906cc50bea71b505c7ece8205c98cede3e6bf6d4528d5 | MATLAB | 2,501 | 74 | function [hhead,hline] = vectarrow(p0,p1,arrowheadlength,arrowheadwidth,varargin)
%Arrowline 3-D vector plot.
% vectarrow(p0,p1) plots a line vector with arrow pointing from point p0
% to point p1. The function can plot both 2D and 3D vector with arrow
% depending on the dimension of the input
%
% Example:
% ... |
0dfc65e412bc708181fd97abc3487aeba493d1b9daffe622d53781686e909b32 | MATLAB | 2,502 | 76 | function [apk,ap,meanoks,apvals] = ComputeOKSStats(data,kappa,varargin)
[conddata,pttypes,datatypes,labeltypes,apvals,meanapvals,distname,netname,exptype] = myparse(varargin,'conddata',[],'pttypes',{},...
'datatypes',{},'labeltypes',{},'apvals',[40,50,60],'meanapvals',30:5:70,'distname','gamma2','netname','','exptyp... |
11fa2744980a585bd2fe376bab96ff7f6b9024d481fd5eb68483dbae1f3aa29c | MATLAB | 2,502 | 95 | function norm = quantilenorm_simple(data)
row_size = size(data,1);
col_size = size(data,2);
sort1_start = tic;
disp('sort 1');
d = cell(1,col_size);
d_mean = zeros(row_size,1);
div_size = 8;
sub_idx = [1:ceil(row_size/div_size):row_size row_size+1];
for i = 1:col_size
fpr... |
e1eb62974f69b36d6c786eb7f8bfe41f022f38a840622996b558c10a0d21c578 | MATLAB | 2,502 | 64 | function mask = maskCircle( angleStart, angleSiz, r, nSamples )
% Creates an image of a 'pie slice' of a circle.
%
% Creates a 2D array of size (2rx2r) with values between 0 and 1.
% Specifically, mask has values 1 inside the pie slice of the circle
% defined by angleStart and angleSiz. For example, using
% angleStart... |
5573e8c8da6d69558b754a12065e2c8604e71342bccaca22fe9a52f8e1b8216b | MATLAB | 2,503 | 71 | function [x, ut] = svdfft(f, n, trltapcnt);
% SVDFFT computes a rotated FFT matrix, using the real part of the
% cross-spectral density matrix. This rotation ensures that the phase
% relationship of the underlying sources does not change, while rotating
% the channels such that the first channel contains the maximal a... |
e2224ef07d4d89d4ce7a2c7ca24c976fd43d4075971bf0a493a852a83144cbca | MATLAB | 2,503 | 41 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
f9bdc80f8745a26efcedb45ea8c9083243103a6469359e7a6b100fbfe2b1f757 | MATLAB | 2,503 | 74 | function [path, filter_idx] = uibrowse(filter_spec, start_path, dialog_title, type)
%UIBROWSE Displays a file or folder selection dialog.
% Usage:
% path = uibrowse
% path = uibrowse(filter_spec)
% path = uibrowse(filter_spec, start_path)
% path = uibrowse(filter_spec, start_path, dialog_title)
% path = uibr... |
28434a6aa36cce23eb29b949c76ca9c8ea2a2a67e321897d9527ea0216c14128 | MATLAB | 2,505 | 49 | % Code to perform flat hyperellipsoid projection. In this code we take a
% current density input which can be the output of a gradient descent
% procedure and project it inside (on the boundary) of an ellipsoid to
% satisfy the constraint of the problem. This is the generalization of
% projecting to an ellipsoid in... |
d82dacb6ec3193ac44a4c1ffde2142ea7a3030115139d009328fdadcc2e6ef3f | MATLAB | 2,506 | 77 | function [warp,L,LnInv,bendE] = tpsGetWarp( lambda, xsS, ysS, xsD, ysD )
% Given two sets of corresponding points, calculates warp between them.
%
% Uses booksteins PAMI89 method. Can then apply warp to a new set of
% points (tpsInterpolate), or even an image (tpsInterpolateIm).
% "Principal Warps: Thin-Plate Splines... |
f596d505c1d4b59a3c370b2f5a9b12290e3073ceadaac8099690c296d3606a26 | MATLAB | 2,506 | 76 | % this demo reproduces the dissociation between fit accuracy and
% generalization accuracy.
% In brief, it simulates data under a GLM compriing n=16 regressors (with
% random weights). This simulated data is then splitted into train (2/3)
% and test (1/3) datasets. GLMs equipped with 0<i<32 regressors are then
% fitted... |
6bc80cbc1f095b95fe911e4b9b8e08166dda57882daf3473b418fe1d18ce1023 | MATLAB | 2,507 | 66 | %% This file creates the trace averaged nii for the reduced direction simulations
%% transfer nii to trace nii data for reduced directions
numDir32 = [16, 4];
numDir64 = [16, 4];
PATH = pwd;
subjects = {'sub_001'};%, 'sub_003', 'sub_004', 'sub_005', 'sub_006', 'sub_007', 'sub_001_rescan', 'sub_003_rescan', 'sub_... |
d3b9f0ec56f0ebcb19fa4b84dcbd3897185daf393099ee0cc8ea1ab571f5e720 | MATLAB | 2,507 | 110 | function [st quality area zeroflag edges edgeflag] = CheckMesh2D(e,p,inputflags)
% Checks the 2D triangular mesh for quality and consistency.
% The quality measure is the ratio of circumcircle to incircle and its
% range is between 0 and 1.
% If edgeflag is 1 it means there are edges that are shared by more than
% two ... |
fa0c3f90845f3488c29583d8c7f06166864b6cfed164a3a3be00f457f38e1c1e | MATLAB | 2,507 | 95 | % 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,... |
318288407546ed5575b6d6d9ac72d244c3372e1f5d2e781ea2dad9ea4dfe65b4 | MATLAB | 2,508 | 83 | function AutoPlaybackNew(ImageArray,FrameInterval,PauseInterval,IntensityLimits,Coloring)
% 1,0.0001,[],'jet')
if isempty(Coloring)
Coloring=jet;
end
if isempty(FrameInterval)
FrameInterval=1;
end
ImageHeight=size(ImageArray,1);
ImageWidth=size(ImageArray,2);
ScreenSize=get(0,'ScreenSize');
AspectRatio=Imag... |
c6a299bf1862a6034407ca69dd7f5751749e06e54af0a7a446f3dcf74466dc9d | MATLAB | 2,508 | 92 | function V = mttkrp(X,U,n,vers)
%MTTKRP Matricized tensor times Khatri-Rao product for 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 efficientl... |
e6ba2fccd7058bfb60d15813183ee14e5a8bdbc5d731949d10e124d10bffd0ab | MATLAB | 2,508 | 93 | function hmm = dgmSeqToHmm(dgmSeq)
%% Convert a dgmSeq to an hmm
% work in progress
% This file is from pmtk3.googlecode.com
intra = dgmSeq.intra;
inter = dgmSeq.inter;
slice1CPDs = dgmSeq.slice1CPDs;
slice2CPDs = dgmSeq.slice2CPDs;
emission = dgmSeq.emission;
intraH = intra(1:end-1, 1:end-1);
interH... |
2d60e7c85e11678decfb51f72c42b6dd8ffd426e1904206754deb053c0647380 | MATLAB | 2,509 | 115 | function demo_doubleWell
% Demo for Double Well system.
% This demo inverts a model of chaotic double-Well system, which is
% observed through a nonlinear sigmoid observation function.
% Choose basic settings for simulations
f_fname = @f_doubleWell;
g_fname = @g_sigmoid;
u = [];
n_t = 2e2;
deltat = 2e-2;
alpha ... |
6f4f39f2ba128cd7a8e40a14c0dae1a7d053ab230664392444a29b36f96be5b4 | MATLAB | 2,509 | 83 | function [closestPtBef,closestPtAft,idxB] = findBeforeAfter(A,B,type)
% This function finds the closest value of B to each value of A.
%
% Inputs:
% A: A matrix of values
% B: A matrix of reference values
% Type: Type of points we want to return (3 options)
% 'both' = find the closest point of B ... |
7af9c624d34a0646ed516332e170fcdf9649f42153d7300c7e477df738b4460c | MATLAB | 2,509 | 77 | function [model, loglikHist] = mixDiscreteFit(data, nmix, varargin)
%% Fit a mixture of product of multinoullis via MLE/MAP (using EM)
%
% By default we lightly regularize the parameters, so we are doing map
% estimation. To turn this off, set 'prior' and 'mixPrior to 'none'. See
% Inputs below.
%
%% Inputs
%
% data ... |
1f15a0824958090d8e88f25bd0660079b7338f2ebc9665899aa6d8cea951b558 | MATLAB | 2,510 | 63 | function e_global = error_cam_proj(param);
global n_ima x_1 X_1 xproj_1 x_proj_1 x_2 X_2 xproj_2 x_proj_2 x_3 X_3 xproj_3 x_proj_3 x_4 X_4 xproj_4 x_proj_4 x_5 X_5 xproj_5 x_proj_5 x_6 X_6 xproj_6 x_proj_6 x_7 X_7 xproj_7 x_proj_7 x_8 X_8 xproj_8 x_proj_8 x_9 X_9 xproj_9 x_proj_9 x_10 X_10 xproj_10 x_proj_10 x_11 X_11... |
8c1a9e582ac23435516b2cd6084401415bcfcb110c2066f73e601e199dd2fbd8 | MATLAB | 2,510 | 70 | function diff = getDirectionalDerivative(problem, x, d, storedb, key)
% Computes the directional derivative of the cost function at x along d.
%
% function diff = getDirectionalDerivative(problem, x, d)
% function diff = getDirectionalDerivative(problem, x, d, storedb)
% function diff = getDirectionalDerivative(pr... |
c3ac0e5667fc9293a6d6aacc8d3860424f2a7532ffe603f9078793583660af06 | MATLAB | 2,511 | 68 | function Image_wColorMap=EmbedColorMap_Color(Image,Orientation,Location,Height,Width,ColorLimits,ColorMap)
%Image=TempDeltaFF0;
Image_wColorMap=Image;
%Location=[120,80]
%Orientation=1;
%Height=20;
%Width=100;
if Orientation==1
DivisionSize=(ColorLimits(2)-ColorLimits(1))/Width;
NumDivisions=Width;
else
Div... |
34d43a9c769fc4b401377e60251e970b332dc051d6fb2cf8847de3e3ce7e5661 | MATLAB | 2,513 | 75 | function [XfieldOfView, YfieldOfView] = calculateFieldOfView(ScanImageZoom)
% calculates field of view in um for given ScanImageZoom
% A.Sobczyk <sobczyk@cshl.edu>
% PLEASE INCLUDE NAME DATE AND RIG OF CALIBRATION
set(0, 'DefaultFigureColor', 'w');
% JBM 071515 Naga (In-Vivo Two-Photon Rig On 3rd Floor [... |
3bf53cad4375a803c1f0f1fc3afa5361a36e1ae541d636d5442cf650dc4f14d7 | MATLAB | 2,513 | 72 | function [fileinfo,trackerinfo,scfg] = loadTracker(cfgjsonfile)
% Load metadata about a trained tracker from its tracker-config json
% file, locating the training package files and the last network
% checkpoint for each stage and view.
fileinfo = struct;
fileinfo.cfgjsonfile = cfgjsonfile;
trackerinfo = str... |
7a30704e870fd6a25a130dbdee7fb8753107d4969e1c06ee3135aba290fbe328 | MATLAB | 2,514 | 69 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% s1_conductivity_selection.m %%%
%%% Choose a conductivity set. %%%
%%% This script will generate a model folder and tissue file for the %%%
%%% selected patient... |
a100e549b532888d5453bddc0adfc23cd8e68c8e01d1451b00629687724b54ad | MATLAB | 2,514 | 62 | % Compiles all mex routines that are part of toolbox.
%
% If you get warnings about "omp.h", your compiler may lack default OpenMp
% support (for info about OpenMP see http://en.wikipedia.org/wiki/OpenMP).
% To compile without OpenMP alter code below to 'useOmp(:)=0'; and re-run
% toolboxCompile. Note that this will di... |
b799017a3555b4fb85d757fdc76e7df8d8869a669dc232079a9d180cf5c577e7 | MATLAB | 2,514 | 79 | %% tsdata_to_autocov
%
% Calculate sample autocovariance sequence from time series data
%
% <matlab:open('tsdata_to_autocov.m') code>
%
%% Syntax
%
% G = tsdata_to_autocov(X,q)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% X multi-trial time se... |
e664f6d1e1e95e40bbf6d270b3ca8ad681c8051abfdd9057f679ea80d136760d | MATLAB | 2,516 | 67 | %% computeSDO_KLDMeasures
% Compute the Knullback-Liebler Divergence (KLD) between two provided
% probability distributions, from M1 --> M2.
% If M1 is 3D, while M1 is 2D, calculate the KLD for each xy 2D array page,
% indexed by the third dimension (z).
%
% DEPENDENCIES:
% pxTools Library (pxTools_KLDiv)
%
% INPUT... |
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