sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
168098c6fcc17e353dff74ac67eec0a1f4626ae81b7a47c60adeb88e473ffb37 | MATLAB | 751 | 19 | function h_takeNoteForROI3(handles)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
roi = findobj(handles.imageAxes, 'Tag', 'annotationROI3', 'Selected', 'on');
if length(roi)>1
error('more than one ROI selected! this should not happen!');
elseif length(roi)==1 %roi c... |
17ad234b60ee879ccf47d7269135eb281d47ab1daac63d24b838ec7279489c40 | MATLAB | 751 | 36 | % _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% destroys all axes and associated
% UI control elements in self.handles.ax
function destroyAllA... |
6555456578370f933dc8d1fccc5d471e7edecea0b09014c2244562bad61472a0 | MATLAB | 751 | 21 | function [fx] = f_Qlearn_gammaLR(x,P,u,in)
% evolution function of q-values of a RL agent with dynamic learning rate
% [fx] = f_Qlearn_dynLR(x,P,u,in)
% Here, there are only two q-values to evolve, i.e. there are only two
% actions to reinforce (2-armed bandit problem).
% IN:
% - x_t : q-values and learning rate
% ... |
8706c49bcaa89ec50e371d18118c76b902f462c553e1259c56911d2e5ddfeb46 | MATLAB | 751 | 26 | function [wl,wr] = fdct_wrapping_window(x)
% fdct_wrapping_window.m - Creates the two halves of a C^inf compactly supported window
%
% Inputs
% x vector or matrix of abscissae, the relevant ones from 0 to 1
%
% Outputs
% wl,wr vector or matrix containing samples of the left, resp. right
% half of... |
98d3ab636c00049e2af4d239fab74c1a4dd7732c5373bea1031ea1bd31da9362 | MATLAB | 751 | 30 | %% Reproduced fig 5.3 from Bishop's book
%
%%
% This file is from pmtk3.googlecode.com
fns = { @(x) x.^2, @(x) sin(x), @(x) abs(x), @(x) (x>0) };
for fi=1:length(fns)
fn = fns{fi};
setSeed(0);
N = 50;
X = linspace(-3, 3, N)';
y = fn(X);
options.Display = 'none';
options.MaxIter = 100;
lambda = 1e-5... |
01d5914f2a000ced9f0e2a8d08d05029fbe23f64f4c6f19385f541d1312467a3 | MATLAB | 752 | 32 | function r = struct2rowsexport(s,varargin)
% r = struct2rowsexport(s,varargin)
% Optional PVs:
% - nansAsStrings: If true, numeric scalar NaNs are replaced with the
% string 'NaN'. Defaults to false.
nansAsStrings = myparse(varargin,...
'nansAsStrings',false);
assert(isstruct(s)&&isvector(s),'Expected d to be a... |
062b126fa583216c3a50918067c09b2f9d3610cb19f7dafb16c292bafa6067d4 | MATLAB | 752 | 31 | function Qdec = num2Qdec(M,Vars)
% Qdec = num2Qdec(M,Vars)
%
% Converts numeric matrix M to two dimensional cell string array Qdec.
%
% Input
% M: Numeric matrix.
% Vars: One dimensional cell string array with the name of the Qdec
% variables corresponding to the columns of M.
%
% Output
% Qdec: Two dimensional cell s... |
35db39a246ee3db2d566de3f979052cde0453541689eebf2a86904276052b803 | MATLAB | 752 | 21 | function [FileList]=CurrentVariableMemoryUsageTracker(Details,CutOff)
%use CurrentVariableMemoryUsage(whos,CutOff) in bytes
warning on all
warning off verbose
warning off backtrace
for i=1:length(Details)
if Details(i).bytes>CutOff
warning('============================... |
3a5cd26b6474447b3d2e117bc602556de835a06fd9a7caa645557eb27221352c | MATLAB | 752 | 29 | function create_ds_SegmentsHeadMotion (ds_name, x, period, output)
% -------------------------------------------------------------------------
% Create new MarkerFile.mrk
% Check if markers are given as a vector
if ~isvector(x),
error('Markers should be a vector.');
else
x = reshape(x,[],1);
end
% Check if ... |
7341c09b142c4593e3bbc7aec6cc5538958dd5ced82a4caf47ba3f0d7eddf908 | MATLAB | 752 | 17 | %% 统计特征 | statistical features
%% 一阶差分平均值 | Mean of First Difference/Mean Curve Length（MCL）
% 描述了时域信号强度的变化，是一种量化信号复杂性的简单度量，在分析和经验上与Katz分形维数相关，上述两者是同一个东西，可用于区分不同被试
% X: single channel EEG signal (either a row vector or a column vector)
%% Reference
% [1] Yahyaei, R., and Esat Özkurt, T. (2022). Mean curve length:... |
c99808897656c84269df1469c27858722a796883f33940861c51c9822d118ac2 | MATLAB | 752 | 27 | classdef FrameDecimation < handle
methods (Abstract)
dec = getDecimation(obj,labelerObj)
end
methods
function [str,decval] = getPrettyString(obj,labelerObj)
assert(isstruct(labelerObj), 'labelerObj, despite the name, must be a struct') ;
decval = obj.getDecimation(labelerObj);
if decval... |
3e9cd4a8a9c8db7b5f11fc5e67eace2c7a9d684fbfd5da598ffd98b02e195e01 | MATLAB | 753 | 23 | function res = easyStruct(fieldName,fieldVal)
evalstr=['res=struct('];
%% if certain field is double defined, delete the old one
deleteIdx= [];
fieldN = unique(fieldName);
if length(fieldN) ~= length(fieldName)
for i = 1:length(fieldN)
if sum(strcmp(fieldName,fieldN{i})) > 1
idx = find(s... |
216cb063254e79b9c9d9e126e966b091e19aecec211db9c9c4023f2433e57c3a | MATLAB | 754 | 17 | measResults = imgPair.measResults;
xmin = 4;%in pixels
xmax = size(measResults,1);
xvals = [xmin:xmax];
notNaNindices = xvals(~isnan(measResults([xmin:xmax],3)));
xvals = notNaNindices * imgPair.info.pixelWidthExpanded/imgPair.info.expFactor;
edges = 0:.5:80;
[bincounts] = histc(x... |
3ee2d7740a5f76bfcc60850e0d7630df17072e9f8eaba720c614afbd6e81c3b9 | MATLAB | 754 | 28 | function [lblDate,lblCat] = findCat(flyID,lblDate,lblCat)
flyID = unique(flyID);
assert(isscalar(flyID));
lblDate = cellstr(lblDate);
lblDate = unique(lblDate);
ndate = numel(lblDate);
if ndate>1
fprintf('%d, %d dates: %s. choosing lowest, %s.\n',...
flyID,ndate,String.cellstr2CommaSepList(lblDate),lblDate{1});... |
5e5674008e4ca4d41f73bedc17ebb7b9b7ac5638225da1cb9f9161f1aeb8a192 | MATLAB | 754 | 28 | function clf = clfDecTree( p, varargin )
% Wrapper for treefit that makes decision trees compatible with nfoldxval.
%
% USAGE
% clf = clfDecTree( p, varargin )
%
% INPUTS
% p - data dimension
% varargin- params for treefit, ex: 'splitmin'',2,'priorprob',ones(1,n)/n
%
% OUTPUTS
% clf - model ready to be tr... |
67bc8352fb799775f3f14267fde9b61e44b86462e1df8d6e24a3b25d4cecc1be | MATLAB | 754 | 21 | function [F, J] = funfitDoGModelParams(params, xvals)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
outparams = params.outparams;
%==========================================================================
% ge... |
934dd9ba5798e8089fb232f7b4a97ecfeb1145dd047864423a88f9a2db2a39fd | MATLAB | 754 | 22 | function [brainMask,subjectMasks] = afxLoadMasks(fmasks,fbrainMask,XYZmm)
fprintf(' Loading masks ... ')
% load (individual) tpms and resample to func space (trilinear interpolation)
% if necessary
subjectMasks = [];
parfor i = 1:size(fmasks,1)
subjectMasks(:,i) = afxVolumeResampl... |
82de4725fbe03552b4ada3b03600ddad6ecd33a28584b0debb02315340b371a9 | MATLAB | 755 | 21 |
function ImageArray_WithStim_DeltaGFPn = Norm_BCDeltaGFP(ImageArray_WithStim_DeltaGFP, ImageArrayRegBC_WithStim, ImagesPerSequence)
NumOfSequences = size(ImageArrayRegBC_WithStim, 3) / ImagesPerSequence;
warning off all
for SeqNumber=1:NumOfSequences
FirstIndex = (ImagesPerSequence * (SeqNumber - 1)... |
953b6dfc3c6d819b43f55d3b7462f3b1216171c1dae29b0d8331d6d51c52957b | MATLAB | 755 | 35 | %% fnc_getSobolSetMatlab: give a set of sobol quasi-random by using Matlab
% implemented functions
%
% Usage:
% X = fnc_getSobolSetMatlab(dim, N)
%
% Inputs:
% dim number of variables, the MAX number of variables is 40
% N number of samples
%
% Output:
% ... |
a920ba45b3cba6506a5f6d09d2bd15b484b681c171cfe0394f7dca8f787dd40b | MATLAB | 755 | 21 | function [rrmat, stats, QCFC, QCFCed]=plot_distance_QC(fc,motion,distances);
%% Plot correlation coefficient-QC vs edge distance
Nsubjs=size(fc,3);
Nroi=size(fc,1);
rr=zeros(Nroi*Nroi,1);
connectivitydata=reshape(fc,[],Nsubjs);%fc-X-subjs
rr=corr(connectivitydata',motion,'type','Pearson');
[rr p]=corr(connectivityda... |
d2d65dfd2e9741dfc6fa05ceb7d174c6211d04869863b7e115bd52a21f7ab4db | MATLAB | 755 | 22 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Withening the EMG signal
% Input:
% signal: row-wise signal
% E = full matrix E whose columns are the corresponding eigenvectors
% D = diagonal matrix D of eigenvalues EIG(A) produces a diagonal matrix D of eigenvalues
% covarianceM... |
4b66bbdf906ee986fc509c20ae1b7df2c3c85147227aff76e87892ea90dddae1 | MATLAB | 756 | 27 | function CPD = noisyOrCpdCreate(leakI, parentsI)
%% Create a noisy OR CPD
%
%(from BNT)
% A noisy-or node turns on if any of its parents are on, provided they are
% not inhibited. The prob. that the i'th parent gets inhibited (flipped
% from 1 to 0) is parentsI(i). The prob that the leak node (a dummy parent
% that is ... |
88c0024853029d8bf233d1ef1718620289092165ab0af98ef898eb7d2ef3cedc | MATLAB | 756 | 32 | % RSKELF_LOGDET Compute log-determinant using recursive skeletonization
% factorization.
%
% Typical complexity: O(N) in all dimensions.
%
% LD = RSKELF_LOGDET(F) produces the log-determinant LD of the factored
% matrix F with 0 <= IMAG(LD) < 2*PI.
%
% See also RSKELF.
function ld = rskelf_... |
a2940ea0170fa425b76bcc5f8d660e535ad49cb33a96204268216d27b1eedf94 | MATLAB | 756 | 22 | function s = secondstr(seconds, format, minFields)
if nargin == 2
minFields = 0;
end
switch format
case 0
s = sprintf('%.2f', seconds);
case 1
if seconds < 60 && minFields < 2
% seconds
s = sprintf('%.2f', seconds);
... |
d9ff4b1af1b50e409f47f3ae721d3843d87068de0caa30f47c12231179f23f29 | MATLAB | 756 | 26 | function m2 = mapKeyRemap(m,keyOrig2New)
% Remap keys of a containers.Map
%
% m: containers.Map
% keyOrig2New: containers.Map. keyOrig2New(oldKey)==newKey where oldKey and
% newKey are of the type m.KeyType. keyOrig2New must contain all keys of
% m.
%
% m2: new containers.Map. For each key in m, knew=keyOrig2New(k... |
b36b8ba037b7361a62a2f671da22d0da54bbc7b752d494890008812808c2f737 | MATLAB | 757 | 28 | function positions=remove_video_noise(targets, timestamps)
% DB_Nov '18
% Uses targets provided by Nlyx to plot all the x and y detected by the
% software during recording (including both LEDs light position and other
% sources of noise picked up by the software).
positions.x=[];
positions.y=[];
positions.timestamps=... |
bbf6875fb6c1988cd43e0dfd3710c6a548bc3bf1f82963eba8a9e117d7a812aa | MATLAB | 757 | 18 | function args = get_args_set_default(cell_with_args,varargin)
n = numel(varargin);
assert(mod(n,2)==0 ,'get_cell_set_default :: varargin must have pairs of arguments and values');
assert(iscell(cell_with_args),'get_cell_set_default :: cell_with_args must be a cell with pairs of arguments and value... |
d3ff32081473acff36f0e55dc7afb2d13da97440bbfe72362a93e9e31793b746 | MATLAB | 757 | 18 | function args = get_cell_set_default(cell_with_args,varargin)
n = numel(varargin);
assert(mod(n,2)==0 ,'get_cell_set_default :: varargin must have pairs of arguments and values');
assert(iscell(cell_with_args),'get_cell_set_default :: cell_with_args must be a cell with pairs of arguments and value... |
e309497c308ff1c2e0b5f378bc2b8a9db6cbdfe0da52beaaed3de56dfc0e4157 | MATLAB | 757 | 15 | function [Y_grayMatter_mask,V_grayMatter_mask,...
Y_whiteMatter_mask,Y_CSF_mask,...
grayMatterMask_eroded,whiteMatterMask_eroded,csfMask_eroded] ...
= TLmakeMasks(FreeSurfer_segmentation_Atlas_path)
[Y_grayMatter_mask,V_grayMatter_mask] = TLmask(FreeSurfer_segmentation_Atlas_path);
Y_wh... |
a37a01c62c6eb447f216fc1aba2fa8a7cdb5637480d6c2d5a912c87937fe9545 | MATLAB | 758 | 43 | clear
clc
close all
%%% (generated by number_sessions_per_rat.m)
load data/numsessions_all_rats
rat_list=rats(find(numhits>=100000));
for iii=1:length(rat_list)
ratto=rat_list{iii};
[d_shap1(iii),f_shap1(iii)] = plot_logistic_regression(ratto,'half1','slope',0,0,0);
[d_shap2(iii),f_shap2(iii)]... |
a46d8d1191a68673d850d884b187f8f60b2377b91d6ce6d4e44b6ea103f13ffd | MATLAB | 758 | 45 | % Point Distribution
colors = 'brgkcm';
if ~exist('n_ima')|~exist('fc'),
fprintf(1,'No calibration data available.\n');
return;
end;
check_active_images;
if ~exist(['ex_' num2str(ind_active(1)) ]),
fprintf(1,'Need to calibrate before analysing reprojection error. Maybe need to load Calib_Results.mat file.\... |
eb245cabfc76933838524eada475c90a40320746d65fed277f174ee32081eeae | MATLAB | 758 | 21 | function C = cropt( T, x, y, z )
% CROPT Crop a tomogram
% INPUT:
% T - input tomogram
% i = [li hi] - range for coodinate i
% OUTPUT:
% C - output cropped tomogram
%
% See also:
%
% AUTHOR: Antonio Martinez-Sanchez (an.martinez.s.sw@gmail.com)
% REFERENCES:
% [1] Martinez-Sanchez, A., et al. A... |
586d791bd0fffebfb18490fa1b5a77a497c01d22e3358ae897dd3f35290a2dba | MATLAB | 759 | 28 | %% Vector Quantization Demo
%
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
loadData('clown'); % X is 200x320 image
figure;
imagesc(X); colormap(gray); title('original')
printPmtkFigure('vqDemoClownOrig');
[nrows ncols ncolors] = size(X);
data = reshape(X, [nrows*ncols ncolors]); % data(i,:) = rgb value for... |
b1dbe98a46bda6023d66dfd336cfdd858cf066786e5d313115a0cdbd41523eb8 | MATLAB | 759 | 22 | scanner = 1; % disable this to test the code outside the scanner
global t0
if scanner
outportb(890,32) % sets pin for tristate in base+2 to up state. This allows to read from the port
%at the beginning of your script, include these lines: I never understood exactly what they do, but you
%need them... |
b37da51be439684bccfe30d027f6394dcf7d2213f7ab984805ed64c9ad9e3689 | MATLAB | 759 | 35 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
% parseGuid:
% Parses a Microsoft encoded GUID from bytes
%
function guid = parseGuid (guidBytes)
guid = strrep(sprintf(...
'%2x%2x%2x%2x-%2x%2x-%2x%2x-%2x%2x-%2x%2x%2x%2x%2x%2x',...
guidBytes(... |
b49a39244d1c1bfda0f23294b9680196ea636ecf1df417160dc58d05c9d7156f | MATLAB | 759 | 30 | function [xn,alpha] = linesearchSimple(f, x, p, fx, gx, sigma, alphamin)
%
% Uri Ascher
%
% line search: given current iterate x and direction p,
% find alpha in [alphamin,1] such that xn = x + alpha*p
% gives sufficient descent in f, as specified by sigma.
% Upon return, if alpha <= alphamin then failure
% This file ... |
bf0d21c6a2e61c77063ff9de33c3b65311e12f48a4a4847fe159987c95377a7c | MATLAB | 759 | 22 | % Boston housing data from UCI repository
data = load('housing.txt');
X = data(:, 1:13); % feature 4 is binary (1 = close to charles river, 0 otherwise)
y = data(:,14); % cts
[n d] = size(X);
seed = 0; rand('state', seed);
perm = randperm(n);
X = X(perm,:);
y = y(perm);
istrain = [ones(1,300) ze... |
d367d5552cea92fc4489506a00d6b991bb115f88d0f41178af37525f481394b1 | MATLAB | 759 | 25 | function r = reshapeTTest(t, sz)
sz = sz(:)';
r = t;
r.h = reshape(t.h,sz);
r.hFDR = reshape(t.hFDR,sz);
r.p = reshape(t.p,sz);
r.t = reshape(t.t,sz);
r.Cohen_Mahal = reshape(t.Cohen_Mahal,sz);
r.effsz = reshapeLines(t.effsz,sz,'3darray');
if ndims(r.effsz) == 3
r.effsz = mea... |
e3b1ddd506c6e7b381e63a229a681edf8d6588678a92890584d65039c27c128f | MATLAB | 759 | 14 | %% 微分熵 | differential entropy (DE)
% 微分熵实际上是香农熵在连续信号上的推广，微分熵并不像上文单指一种频带分段方法，而是对特征附加的非线性变换，尤其在频域能量特征中效果显著
% 简化计算：直接对能量特征求log
% X: single channel EEG signal (either a row vector or a column vector)
%% Reference
% [1] https://blog.csdn.net/zhoudapeng01/article/details/108596687 (theory)
% [2] https://blog.csd... |
71c81e492dfa31e61173257ffab2706106b8e3f67a05529863aa4d185038abb2 | MATLAB | 760 | 29 | function figSetPosAPTDefault(hFig)
% figSetPosAPTDefault(hFig)
%
% Default position is centered on primary display, with original size if
% primary display is big enough to accomodate; otherwise smaller/scaled to
% primary display size.
gr = groot;
units0 = gr.Units;
gr.Units = 'pixels';
scszPx = gr.ScreenSize;
gr.U... |
7e097ee3dc2ba1aa2034a3c6c25fc9c45b094f87821a611ca9fbee7a8dbce7d0 | MATLAB | 760 | 52 | %%
plot(sort(V2-V1))
%% Volumes
[~, id1] = sort(V1);
[~, id2] = sort(V2);
subplot(1,2,1)
% Sorted by V1
plot(sort(V1));
hold on
plot(V2(id1))
legend('V1', 'V2')
title('Volumes, Sorted by V1 ')
xlabel('Sorted cell index')
ylabel('Volume, um^3')
grid
subplot(1,2,2)
% Sorted by V2
plot(V1(id2))
hold on
plot(sort(V2));... |
8246441243153c8a09cf93e31c55e54ca23831affd8865ffee6ecbce96de8742 | MATLAB | 760 | 29 | function Y = gampdf(X,A,B)
%assert((isequal(size(A),size(X)) && isequal(size(B),size(X))),'X, A and B must be of common size or scalars');
sz = size(X);
Y = zeros(sz);
k = find(~(A > 0) | ~(B > 0) | isnan(X));
if any(k)
Y(k) = NaN;
end
k = find((X > 0) & (A > 0) & (A <= 1) & (B > 0));
if any(k)
if isscalar(... |
f11941d4848d9b7addb3ae4fd0104b387d6f39b3b53ce368486eb6f4f15a56e3 | MATLAB | 760 | 21 | function motion_skip = CBIG_ABCD_proc_load_motion(tsvfile,skipframes)
% motion_skip = CBIG_ABCD_proc_load_motion(tsvfile,skipframes)
%
% This function load the ABCD motion tsv file into a matrix and discard the first a few frames
%
% Inputs:
% - tsv_file:
% Path of the ABCD motion file
% - skipframes
... |
09c06c85eec87ae10d907afe72cc8494a6b38ad1bd246a3ceb22c09c8e14d9f3 | MATLAB | 761 | 17 | % This script loads mesh data into the MATLAB workspace. The data include
% surface meshes and the potential integrals. It also loads the previous
% solution (if exists)
%
% Copyright SNM/WAW 2018-2020
%% Define EM constants
eps0 = 8.85418782e-012; % Dielectric permittivity of vacuum(~air)
mu0 ... |
159dede4c9bf83d2c2da943196e3752cc690ff699843c964610f3d4c748058ac | MATLAB | 761 | 28 | function hh = plotmarkers(h, marker, col, frac)
% add the specified marker to the figure handle at a sparse set (frac) of locations
% Example usage
%figure(1); clf
%h1 = plot(1:1000, 'k-', 'linewidth', 3); hold on
%hh1 = plotmarkers(h1, 'o')
%h2 = plot(1000:-1:1, '-');
%hh2 = plotmarkers(h2, 's', [1 0.5 0.25], 0.05)
%l... |
3a165cb6d2f276b2b13d7d8cbbb01b9aa5e86b808f4e053557b2880372bcea8c | MATLAB | 761 | 43 | function LAN = lan_add_elec(LAN,elec_ind,chanloncs ,interp)
if nargin <3
interp=true;
end
LAN = lan_check(LAN);
labels = LAN.tag.labels;
labels{end+1} = 'PHANTOM';
mat = LAN.tag.mat;
i_l = length(labels);
elec_ind = sort(elec_ind);
for e =elec_ind
r = 0;
for t = 1:LAN.trials
e = e+r;
... |
48c8c97b55e577e4395cbecc333dd5198273343d7cd3f351364a8a5d92ba18ea | MATLAB | 761 | 33 | function traceAB = CBIG_MFMem_rfMRI_Trace_AXB(A,B)
%------------------------------------------------------------------------
% traceAB = CBIG_MFMem_rfMRI_Trace_AXB(A,B)
%
% This is a function to caculate y = trace(AB)
%
% Input:
% - A: matrix A
% - B: matrix B
%
% Output:
% - traceAB: trace of AB
%
% Ex... |
82132859ccee1267709a25a87cc4658ff31bb1212851e3b82d63ae1ec0905769 | MATLAB | 761 | 43 | function [pnt, tri] = read_vtk(fn)
% READ_VTK reads a triangulation from a VTK (Visualisation ToolKit) format file
% Supported are triangles.
%
% Use as
% [pnt, tri] = read_vtk(filename)
%
% See also WRITE_VTK
% Copyright (C) 2002, Robert Oostenveld
%
% $Id$
fid = fopen_or_error(fn, 'rt');
npnt = 0;
while (~npnt)... |
8f21c6d2e13b4d8465521a3f095b8ae7057a0b5c59c434a55995d814dbc3f527 | MATLAB | 761 | 21 | function menu_fieldtrip(handle, cfg, allowsubplot)
% MENU_FIELDTRIP adds a FieldTrip-specific menu to a figure.
%
% See also MENU_ABOUT, MENU_PIPELINE
if ~allowsubplot && numel(findobj(gcf, 'type', 'axes')) > 1
% do not add a menu if there are multiple axes, i.e. subplots
% these may contain different data struct... |
1376eac33f2d40ca827cd170ad67ea2bb8bcc0e7bfbab55bd536904fb8fb5707 | MATLAB | 762 | 42 | function I = bwrotate(I,theta,iscleanup)
% get out of degrees
theta = theta*pi/180;
% find all 1's in the image
[y,x] = find(I);
x = x(:); y = y(:);
n = length(y);
% rotation matrix
R = [cos(theta), sin(theta),
-sin(theta), cos(theta)];
% center of rotation
[nr,nc] = size(I);
mux = nc/2;
muy = nr/2;
% ... |
345a6d3a2e3c5425aa6a4af1752877a8fc52cf2bd7f1bbf42c6291cca8c82acb | MATLAB | 762 | 37 | function varargout = dim(varargin)
% Format
% For getting the value
% dat = dim(obj)
%
% For setting the value
% obj = dim(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id$
if nargin==2,
varargout{1} = asgn(vara... |
b5d84490a26f71cb585c14f67dec85f8e007a4cb3469b658653d1f96ba929756 | MATLAB | 762 | 24 | function copyStimFile(run, location)
if nargin<2
location = 'L2';
end
stimDir = 'stimuli';
stimFile = sprintf('taDetectDiscrim%d', run);
source = sprintf('%s/%s.mat', stimDir, stimFile);
switch location
case {'L2','L1'}
vistaDir = '~/Desktop/Rachel/vistadisp/Applications2/Retinotopy/standard/storedIm... |
2a1c85524c8b9498278e6d3301794d1ced16c4bf34c3e889879809e321102e35 | MATLAB | 763 | 30 | %% Run linear regression on the mlcomp system
% See also mlcompLocalDemo
%% we first compile some code that will run on the mlcomp server
% This file is from pmtk3.googlecode.com
%PMTKinprogress
if 0
tmpFolder = 'C:\kmurphy\GoogleCode\mlcomp';
else
tmpFolder = tempdir();
end
lambdaRange = []; % auto-generated
in... |
379d23d431e22c40b22982af517f7ae16eebe95f2d06061577af3d16c56ef1c9 | MATLAB | 763 | 25 | function checkerboard3dmm_wrapper(fnprefix,savefn,type,edgesize,gradingflag)
% checkerboard3dmm_wrapper(fnprefix,saveloc,type,edgesize)
%
% Converts inp files (surface mesh) to a fem nirfast mesh
%
% fnprefix is the location of one of the inp files, or the ele file location
% saveloc is the location to save the mesh t... |
707e30bb365f28d32e0dbfbf21666acfe0bd65c5c450ddef67927c658ce2ac42 | MATLAB | 763 | 20 | function [grad] = lpeval_lap_g(targs,sinfo,charges,rfac,nover,eps)
[~,nt] = size(targs);
npatches = sinfo.npatches;
centers = sinfo.centers;
verts = sinfo.verts;
[~,nv] = size(verts);
triind = sinfo.triind;
area = sinfo.area;
rnormals = sinfo.normals;
grad = zeros(3,nt);
... |
974fa8db818c262dfbad80981df9f9991e79836c6e7531ffcef6f174151fad83 | MATLAB | 763 | 34 | function [order, excluded] = bz_plotRasterTrial(spikes,interval,countLimit,order,ex)
for c= 1:length(spikes.times)
[idx] =find(InIntervals(spikes.times{c},interval));
ts{c} = spikes.times{c}(idx);
mu(c) = median(ts{c});
end
% mu(isnan(mu)) = 0;
if isempty(order)
[a b] = sort(mu');
order = b;
else... |
a34fbba06170dc139c984b0ec0f4e468b21fe96a71445eb2c5d02a256c8ea5cb | MATLAB | 763 | 43 | %% Anisotropic gaussian filtering
% Author: Antonio Martinez-Sanchez
% I: input tomogram
% s: scale
% r: aspect ratio
% F: filtered output
function F = angauss( I, s, r )
%% Intialization
[Nx,Ny,Nz] = size( I );
if mod(Nx,2)
Nx2 = floor( .5*Nx );
Vnx = -Nx2:Nx2;
else
Nx2 = .5*Nx;
Vnx = -Nx2:Nx2-1;
end... |
da20cda04d84f5edf5bbdb60a7596253bce18e8c6b48b61a9aa56f0910ccb8b9 | MATLAB | 763 | 29 | function [h, p, cc, stats] = chi2ind(Y, corr);
% _
% Chi-square test for independence given count data
%
% Sources:
% - https://de.wikipedia.org/wiki/Chi-Quadrat-Test#Unabh%C3%A4ngigkeitstest
% - https://de.wikipedia.org/wiki/Kontingenzkoeffizient#Kontingenzkoeffizient_nach_Karl_Pearson
% get observed counts
O = Y;
... |
e9b88e6244180a3a51fc25f7b34a92196aaac7daae8f794acb5867e2e6d50120 | MATLAB | 763 | 21 | function [madeBgIms, madeTargIms] = makeIms(display, backgroundIms, maskedIms)
%make contrast target images
madeBgIms = cell(size(backgroundIms)); %backgroundIms = phase
madeTargIms = cell(size(maskedIms)); %maskedIms = position x phase x condition
%make backgroundIms Textures
for iPhase=1:length(backgroundIms) % pha... |
10e2259f2481f693f657642b92d68db2f523a66e810530c132af4c92399588f1 | MATLAB | 764 | 26 | function [ outputImg ] = makeDebugImageOfPoints(points,imgSize)
%makeDebugImageOfPoints Make a 3D volume of 0s with values of 100 at the
%specified 3d points (Nx3 array)
outputImg = zeros(imgSize);
for i = 1:size(points,1)
centroid_pos = round(points(i,:));
%Watch out for the XY shift
y_indices = ... |
38e4ddb124f83c7e23b47d88c3cf952a9137eb5ac2dbdda49d3df243187a4950 | MATLAB | 764 | 34 | function Qdec = fReadQdec(fname)
% Qdec = fReadQdec(fname)
%
% Reads a Freesurfer's Qdec table file into cell string array Qdec.
%
% Input
% fname: The name of a Qdec table data file.
%
% Output
% Qdec: Two dimensional cell string array with the data.
%
% $Revision: 1.1.1.1 $ $Date: 2012/02/02 11:25:52 $
% Original ... |
53f6eacbd99c5f0c8d72a02eaeebb09f1c7392c8d3ae7f86809802b9cb049caa | MATLAB | 764 | 19 |
% proxy function
function [Kpxy,nbr] = pxyfun_helm_dirichlet(x,slf,nbr,proxy,l,ctr,zpars,nu,area)
% PXYFUN(X,SLF,NBR,L,CTR) computes interactions between the points
% X(:,SLF) and the set of proxy points by scaling the proxy sphere to
% appropriately contain a box at level L centered at CTR and then
% calling helm_di... |
95d4d61ca3b39f8bde82dabe779ebe7372062399346c4292d73a6056c5dcff19 | MATLAB | 764 | 33 | function options = KeplerMapperOpts(resolution, gain, dist_type, eps_kvalue, verbose)
if nargin < 3
dist_type = 'euclidean';
end
if nargin < 4
eps_kvalue = 50;
end
if nargin < 5
verbose = false;
end
options = struct;
options.verbose=verbose;
options.preprocess_type = 'none';
options.dist_type = dist_typ... |
a162fa780f3aa4a33a6bc45d496a9e99bd3193113d7fae3f74b0a463d492c35f | MATLAB | 764 | 20 | function [psdx, freq] = periodogram_pwelch(x, fs)
% 使用pwelch方法计算功率谱密度
% 输入：
% x - 信号样本
% fs - 采样频率
% 输出：
% psdx - 功率谱密度估计
% freq - 对应的频率向量
% 使用pwelch计算PSD
% 默认情况下，pwelch使用信号长度的一半作为窗口长度，50%的重叠，并使用默认的汉宁窗
% 这里，'onesided'选项告诉pwelch返回单边谱
[psdx, freq] = pwelch(x, [], [], [], fs, '... |
b671cdbf6b321717869cf6618ff090ad784ea19d06714516612c44a139cb09a5 | MATLAB | 764 | 30 | function [ model ] = logregFitL2Dual( X, y, lambda, varargin)
% L2-regularized logistic regression model in the dual space
% This file is from pmtk3.googlecode.com
%PMTKauthor Hannes Bretschneider
[R, V, pp] = process_options(varargin, ...
'R', [], 'V', [], 'preproc', ...
preprocessorCreate('standardizeX', tru... |
127b3796517d3efdcd66f5e4e9307349a2a6b8ff698655736d2aa480343053f9 | MATLAB | 765 | 27 | function [OutputArray]=String2Array2(InputString)
NumChar=length(InputString);
OutputArray=[];
if strcmp(InputString,'[]')
OutputArray=[];
else
Count=0;
position=2;
while position<=NumChar
isvalue=1;
CurrentNum=[];
while isvalue
... |
21ff9a3c0b4931e2e264fce6227e787230c9ac86389e6b71dd8634e747d7e10e | MATLAB | 765 | 28 | % calc euclidian distance between all pairs of ROI file
% Muriah Wheelock 11.2.2017
roi_radius = 4; % change this to your roi radius
datadir= ('/path to roilist.txt');
a=importdata(strcat(datadir,'roilist.txt')); %expects collumn 1 = x,2 =y, 3 = z
x=a(1:end,1);
y=a(1:end,2);
z=a(1:end,3);
for i = 1:length(x);
f... |
546509acde4bb0a0ebe23827a58fee5a367361700ac8c3c380493f877e883738 | MATLAB | 765 | 37 | %% MLP Regression Demo
% Based on Mark Schmidt's Demo from
% http://people.cs.ubc.ca/~schmidtm/Software/minFunc/minFunc.html#8
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
nVars = 1;
nInstances = 400;
options.Display = 'iter';
options.MaxIter = 50;
[X,y] = makeData('regressionNonlinear',nInstances,nVars);
... |
b923e2f682278ad84fbaf04b917bd2f2bb8e952c2ca69cdc9d2bfd3040c657b8 | MATLAB | 765 | 25 | function Surf = fs_read_surf(fname)
% Surf = fs_read_surf(fname)
%
% Reads coordinates and triangles of a Freesurfer's surf (Depends on
% Freesurfer's read_surf function).
%
% Input
% fname: A Freesurfer's surface file.
%
% Output
% Surf: Surface which represent a coordinate system where the analysis is
% to be done... |
13ac738817cb50278fc20e3cabdc9ede34f2bc622a92a3edc30daf3249d1ef05 | MATLAB | 766 | 30 | function features = ReadLandmarkFeatureFile(filename)
rawpropinfo = yaml.ReadYaml(filename);
features = EmptyLandmarkFeatureArray();
featuretypes = fieldnames(rawpropinfo.Features);
for i = 1:numel(featuretypes),
featuretype = featuretypes{i};
x = rawpropinfo.Features.(featuretype);
if isfield(x,'CoordSyste... |
4726c56afb5c6ee7d74891123a234f919cffc339e981f94dca42c1556e31be74 | MATLAB | 766 | 27 | function q_area_ratio=quality_triangle_area(p,t,area)
% Calculates the quality of triangles defined in p and t
% p is the list of node coordinates
% t is the list of node connectivity (n by 3)
% if 'area' is given, this routine will use as the calculated area of each
% triangle and it won't attempt to calculate it.
di... |
bd202170af3a135aa88d9c799e27cb425cdc8363f8c93427408ca4e52bac7c1d | MATLAB | 766 | 24 | function [vals, val_names] = get_stats(Dt,pp,pi,range)
val_names = [string('number of peaks'), string('maximum peak amplitude'), ...
string('integral of highest peak'), string('total integral')];
%% get peak data for low and high beta
for j=1:size(range,1)
for i=1:Dt.nchannels
... |
c1b0ff2e3b0c33549dacf81dcabcd3774af5522a07cc4ac27d6418a6f1c1b5b5 | MATLAB | 766 | 79 | % Field Trip-related test scripts - Synthetic FT data.
%
% See LICENSE.md for distribution information.
%
%
% Includes.
do_ft_init
%
%
% Configuration.
% NOTE - This is moved to its own file, so that we can invoke it elsewhere.
do_ft_synth_config
%
%
% Generation.
%
% Make a synthetic trace, if we don't alr... |
c2c15ceb71d08416c58334efb8c1f683927aa500b36951cb2176a3059c7038de | MATLAB | 766 | 23 | function a = ctranspose(a)
%CTRANSPOSE Complex conjugate transpose for tenmat.
%
% C = CTRANSPOSE(A) swaps the row and column indices of A.
%
% See also TENMAT.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia... |
c61af94cd3f43555d8c2565d042e43e6f7bb57d4a40a78b590fb2e7d85bb8932 | MATLAB | 766 | 24 | % TiffreadStructureToMatrix.m
% Sarah West
% 8/26/21
% Takes the output structure from tiffread functions and turns the .data
% fields into one big matrix.
function [data_matrix]=TiffreadStructureToMatrix(data_structure, frames_list)
% Inputs:
% data_structure -- a structure of images outputted by tiffread
% frames... |
ea3cf91de8b9f21fb894b970117bce0d837b099f017e4f77739ddb2f298fe19e | MATLAB | 766 | 26 | function [h, p] = plotSurface(fn, xyRange, varargin)
% Plot the surface of the function
% evalauated at xyRange = [xmin xmax ymin ymax].
%
% All other args (varargin) are passed directly to the surf function,
% except for 'npoints', which is by default 100.
%%
% This file is from pmtk3.googlecode.com
[npoints, args] ... |
4002974503ec5dffb4caec7f284bceba0bed9accdd24dce1e06b39d7cb80a387 | MATLAB | 767 | 26 | function col = findQdecVar(Qdec,name)
% col = findQdecVar(Qdec,name)
%
% Gives the column of a variable in a Freesurfer's Qdec table that was read
% into the two dimensional cell string array Qdec. Returns empty if the
% variable is not in the Qdec table.
%
% Input
% Qdec: Two dimensional cell string array of Qdec da... |
42ccba8f16b9e1aa036dc7689e00bcbb2918090d71e3ac15715cc5a7b9958215 | MATLAB | 767 | 30 | function messages = initializeMessages(G, sepSets, nstates)
%% Initialize belief propagation messages to uniform
%
%% Inputs
% G - an adjacency matrix
% sepSets - the separating sets, (domain intersections) of the cliques)
% nstates - nstates(k) is the number of states of variable k
%
%% Output
%
% messages... |
90379c2aa694227b7a7310d5c9f723dcb8709e736397ae47042a049428f96bf1 | MATLAB | 767 | 45 | % % a=[];
% % for i=1:length(gn)
% % display(i)
% % x=strcmp(gn(i),gene_name);
% % s=p(x);
% % m=find(s==max(s));
% % gp=gene_profile(x,:);
% % gp=gp(m,:);
% % a=[a;gp];
% % end
%
% b=[];
% bn={};
% for i=1:length(geneName)
% i
% x=strcmp(gn,geneName(i));
% b=[b;a(x,:)];
% b... |
2b00c612db13ef2c3b126f5c2bed6fe43b830e58defb9a17645fb0ecc4905a94 | MATLAB | 768 | 30 | function [] = write_image(I, kk , calib_name , format_image , type_numbering , image_numbers , N_slots),
if format_image(1) == 'j',
format_image = 'bmp';
end;
if ~type_numbering,
number_ext = num2str(image_numbers(kk));
else
number_ext = sprintf(['%.' num2str(N_slots) 'd'],image_numbers(kk));
end;
i... |
d23a31f814aabb5009543eb539ba8dbd4b6872044ac43c22c548fcd8cebe2812 | MATLAB | 768 | 27 | function C = compatibility_matrix(pos,connectivity)
n = size(pos,1);
m = size(connectivity,1);
x = pos(:,1);
y = pos(:,2);
C = zeros(m,2*n);
ux = sym('ux',[n,1]);
uy = sym('uy',[n,1]);
u_vec = sym(zeros(2*n,1));
u_vec(1:2:end) = ux;
u_vec(2:2:end) = uy;
for i = 1:m
i... |
96e053e374ad496ba4a16690e55179164fdef2f34a6a361c35ffcd502bc22471 | MATLAB | 769 | 34 | % get a labelelled set of spikes on this nerve
% works nicely for mulitple units
function [spiketimes, labels] = getLabelledSpikes(self)
if self.verbosity > 9
disp(mfilename)
end
spiketimes = [];
labels = categorical();
this_nerve = self.common.data_channel_names{self.channel_to_work_with};
if ~isfield(self.spike... |
a13330857695bf5a19cdba54ae340470fbb3771f65a39d8c729428d3795e7a9e | MATLAB | 769 | 20 | function mscmd_merge_stage(timeseries_in_path,firings_in_path,firings_out_path,opts)
if (nargin<4) opts=struct; end;
if (~isfield(opts,'clip_size')) opts.clip_size=100; end;
if (~isfield(opts,'min_peak_ratio')) opts.min_peak_ratio=0.7; end;
if (~isfield(opts,'min_template_corr_coef')) opts.min_template_corr_coef=0.5;... |
dee72518de7f5886a27588e592a7a6ee2c0f253aee52bff008bc4389f0935dea | MATLAB | 769 | 26 | function Arep = replicate(A, Adims, sz)
%% Replicate A along possibly multiple dimensions so that size(Arep) == sz
% Adims indicates the dimensions in 1:numel(sz) that A currently contains.
%
% Replicate is like repmat but only copies where needed to achieve the
% desired size.
%
%% Example
% In this exmaple, suppos... |
f8ee9fd742e0b707c3bdb5f66df5bad478cbadf9a57d94431f2e594ddcf02679 | MATLAB | 769 | 33 | %
%
disp("This is an example matlab driver");
disp("On output the code prints the pot+grad in example1, and computes the error at 10 source locations");
disp(" ");
disp(" ");
%% source to source, charges only, pot+grad example
%
clear srcinfo ns U1 U2 eps pg zk;
disp("Example 1: source to source, charge, pot+grad");... |
fdd62cec6e7466602c046ea2e7bd3d1b7bb9b50da362f6cf37371e352b8a1504 | MATLAB | 769 | 26 | function LAN = lan_from_nsx(chan, srate_new)
% *************DEPENDENCIES*************
% - openNSx (Neural Processing Matlab toolkit)
[File, Path, ~] = uigetfile({'*.ns*','NSx file';}, 'Open .nsx file', '', 'MultiSelect', 'off');
NSx = openNSx([Path, File]);
LAN.srate = NSx.MetaTags.SamplingFreq;
LAN.importrec.files =... |
2bcf079ba4924c3234180bfc0787bbeeeccb9d17cc3480adeda2ecedf98be926 | MATLAB | 770 | 19 | function [ ] = bemf2_graphics_surf_field_default(P, t, FQ, Indicator, objectnumber)
% Surface field graphics: plot a field quantity FQ at the surface of a
% brain compartment with the number "tissuenumber". Interpolates over
% triangles
%
% Copyright SNM 2017-2021
t0 = t(Indicator(:, 1) == objectnumber, ... |
510cbffa777460b2088162ff58b1944f9ea2c81aa5e1b0c8aa8033717e16101a | MATLAB | 770 | 51 | function[do_print,tolerance,fx_stop,max_eval,method,scale]=...
do_options(options,nx)
DEF_PRINT = 0;
DEF_TOL = 1e-4;
DEF_FXSTOP = 0;
DEF_MEVAL = 100*nx;
DEF_METHOD = 0;
DEF_STEP = 0.1;
%
[row,col] = size(options);
if (col < 18)
options(18) = 0;
end
%
if (options(1) < 1)
do_print = DEF_PRINT;
else
do_p... |
c6a215561d876de538ea2d8dd26b82daad64f4983b530b408ffae722b2af37d1 | MATLAB | 770 | 30 | function [Dm, varargout] = remove_mean(Dm)
% [Dm] = remove_mean(Dm)
% Remove mean per column.
% Assumes stats/pandas representation:
% rows are observations, cols are data dimensionality (or variables).
%
% Parameters
% ----------
% Dm : matrix
% The dataset to be processed.
%
% ... |
104246b51c988a4b7cd90d8d1d09bd09fbd8183a00dab5613044b5be0f32878f | MATLAB | 771 | 26 | function [adja_pruned, prunedMat, prunedBins] = prune_graph_full(memberMat)
% Input:
% - memberMat: matrix of nr small bins by nr datapoints. 1 if datapoint in
% smallbin
%% Find identical rows
prunedMat = unique(memberMat,'rows');
%% Create weighted adjacency matrix
n = size(prunedMat,1);
% adja_pruned = zeros(n);
... |
5df713f82b19826d61c144c24423cdf2d0dea5d955e8133c66db44a7cfb7c91d | MATLAB | 771 | 28 | %% Logistic Regression on the SAT data using Bayesian inference
% We use Laplace approximation to posterior
% and MC approximation to postpred
%
% This file is from pmtk3.googlecode.com
stat = loadData('sat'); y = stat(:,1); X = stat(:,4);
%pp = preprocessorCreate('standardizeX',true, 'addOnes', true);
%model = l... |
6ebc1122cb9ee0503a0f03b838985b26f5b516f7f5a0fb5d0133c04157bb5fce | MATLAB | 771 | 36 | function xx = degexpand(x, deg, addOnes)
% Expand input vectors to contain powers of the input features
% This file is from pmtk3.googlecode.com
[n,m] = size(x);
if nargin < 3, addOnes = 0; end
xx = repmat(x, [1 1 deg]);
degs = repmat(reshape(1:deg, [1 1 deg]), [n m]);
xx = xx .^ degs;
xx = reshape(xx, [n, m*deg]);... |
7a47cd01de4b31b6bbb448fb4d8b0f9faab114d8a57edb507fde6194a4dec283 | MATLAB | 771 | 33 | function s=mergestruct(s1,s2)
%
% s=mergestruct(s1,s2)
%
% merge two struct objects into one
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% date: 2012/12/22
%
% input:
% s1,s2: a struct object, s1 and s2 can not be arrays
%
% output:
% s: the merged struct object. fields in s1 and s2 will be comb... |
822dc3cc081ed8b5d64ecd7d193d9c33b151683a05c0cee1bda7b69521efdabc | MATLAB | 771 | 26 | % Copyright Christopher Fricke, University Leipzig Medical Center,
% Neurology 2024
folder = 'data\prep\coreg_indiv\datscan_normalized\Average';
fn = 'average_ct_noskull.nii';
mv = medicalVolume(fullfile(folder,fn));
targetVoxelSize = [0.5 0.5 0.5];
ratios = targetVoxelSize ./ mv.VoxelSpacing;
origSize =... |
f7a7b88463c106f1e086fa050fa7a023fafde3f83b2002d24732bb08265315dc | MATLAB | 771 | 32 | function [f, xsp] = lan_cspd(LAN, chn1, chn2, twin, nomean)
L = max(LAN.pnts);
if nargin < 5
nomean = false;
if nargin < 4
twin = hann(L);
end
end
if LAN.trials == 1
disp('Se requiere señales segmentadas')
f = [];
xsp = [];
else
NFFT = 2^nextpow2(L);
f = LAN.srate/2 * linspace(... |
512529da0e93ac5ab2becc61673537911a0ac3f51ab51cddf04a1678bbb24abb | MATLAB | 772 | 34 | function [mu,sig] = compute_bg_mean(readframe,nframes,varargin)
[bgstartframe,bgendframe,bgnframes,roi,verbose] = ...
myparse(varargin,'bgstartframe',1,'bgendframe',nframes,...
'bgnframes',200,'roi',[],'verbose',1);
if isempty(roi),
im = readframe(bgstartframe);
nr = size(im,1);
nc =... |
5192ec1bef3bc915648213afc21f90082ae9d3f2e2485f3897cb023e9d2f9518 | MATLAB | 772 | 36 | %this small class combines all voltage and camera/i sweeps into one sweep
%(two traces, can be any traces);
function [newtrace1, newtrace2] = combine_sweeps (t1, t2, numswps)
t1 = downsample (t1, 100);
t2 = downsample (t2, 100);
n = size (t1, 1);
fulln = n * numswps;
newtrace1 = zeros (fulln,1);
newtrace2 = zeros... |
99fff4998a76056bec01438ceccd14fa70f870758173c43f5efd5cdea0f435e0 | MATLAB | 772 | 37 | function model = mrf2FitStruct(y, varargin)
% Fit pairwise MRF using group L1 on the edge weights
%
% Input:
% y: Ncases * Nnodes (1,2,.., Nstates)
%
% Optional inputs:
%
% lambdaNode L2 strength
% lambdaEdge L1 strength
%
% OUTPUT:
% model is same as crf2FitStruct
%
% Uses code from http://www.cs.ubc.ca/~murphyk/Sof... |
ca902a7f323a08c3c6d49e35ad8844ee9a5bb25696f20e57efb2b07d3a9c1706 | MATLAB | 772 | 20 | function [fx,J,dfdp,d2fdxdp] = f_fullDCM4fmri(Xt,Theta,ut,inF)
% DCM for fMRI evolution function (attn: embedding of HRF!)
% function [fx,dF_dX,dF_dTheta] = f_fullDCM4fmri(Xt,Theta,ut,inF)
% This function evaluates the evolution funciton of the neuronal level in
% DCM for fMRI. For the sake of HRF convolution purposes,... |
d205cab2ac320cf2171973dc34576c22180dc932dab629933842829dadfe2679 | MATLAB | 772 | 21 | function [F, J] = funfitGaussianModelParams(params, xvals)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
outparams = params.outparams;
%==========================================================================... |
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