sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
d86d62c089b649b7437da917a9525acbffb0cdfa6ae1985f5237ffc70f9eeda0 | MATLAB | 701 | 22 | function nrm = norm(T)
%NORM Frobenius norm of a sptenmat.
%
% NORM(T) returns the Frobenius norm of a matricized sparse tensor.
%
% See also SPTENMAT, NORM.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov... |
0954722e95206ea9dc1a6fcb6a34ca5876172fdddc311a562461ed4dbc245bc0 | MATLAB | 702 | 29 | % RSKELF_MV_NC Dispatch for RSKELF_MV with F.SYMM = 'N' and TRANS = 'C'.
function X = rskelf_mv_nc(F,X,mode)
% initialize
n = F.lvp(end);
% upward sweep
if bitget(mode,1)
for i = 1:n
sk = F.factors(i).sk;
rd = F.factors(i).rd;
X(sk,:) = X(sk,:) + F.factors(i).T*X(rd,:);
X(rd,:) =... |
8f4687cb09b13a8ac177aff133a7cf99e4bdac6c4c8f0345345cb6b96a1f7cc4 | MATLAB | 702 | 31 | %% Compare PMTK ridge with stats toolbox
% PMTKneedsStatsToolbox ridge
%%
% This file is from pmtk3.googlecode.com
requireStatsToolbox
X = loadData('caterpillar'); % from http://www.ceremade.dauphine.fr/~xian/BCS/caterpillar
y = log(X(:,11)); % log number of nests
X = X(:,1:10);
[n,d] = size(X);
%% MLE
[model] = li... |
f702bafb44bc8b45d78acc3360cb17f8b6bbe7db6de68c7f5a9d3c775397704c | MATLAB | 702 | 29 | % RSKELF_SV_NC Dispatch for RSKELF_SV with F.SYMM = 'N' and TRANS = 'C'.
function X = rskelf_sv_nc(F,X,mode)
% initialize
n = F.lvp(end);
% upward sweep
if bitget(mode,1)
for i = 1:n
sk = F.factors(i).sk;
rd = F.factors(i).rd;
X(rd,:) = X(rd,:) - F.factors(i).T'*X(sk,:);
X(rd,:) ... |
076b15cad3fd61a3d72831c7362e0c207628ae430b04cde0699b7449cc3feccc | MATLAB | 703 | 28 | function [resVal,idx, count] = findWithinInterval(value, range, col)
narginchk(2,3);
if nargin < 3
col = 1;
end
if size(range, 2) ~= 2
range = range';
end
if size(range, 1) == 1
if ~isempty(value)
idx = find(value(:, col)>=range(1) & value(:, col)<=range(2));
resVal = value(idx,... |
28c1b7c05428bc124caf4198dc1cc84b58d13ae47ffc77ed03c78bc6dbfb81fb | MATLAB | 703 | 34 | function distance = emd(p, q)
% distance = utils.emd(p, q)
%
% Earth mover's distance between probability distributions p and q
% AKA Wasserstein distance
%
%% Checks
% Check if the probability distributions have the same length
if length(p) ~= length(q)
error('Probability distributions must have the same length.... |
4344fe4e9d17633967f50630dadf5ef9469c0b3dcbda5565443311b66f4f7571 | MATLAB | 703 | 18 | function [count,idx]=zerocross_count(data)
%Computes the zero-crossing number
%Written by Su Liu
s = size(data); % size of matrix v
l = s(1); % Number of row of matrix v
for m=1:l
x = data(m,:);
% Method, eliminating the defects of precedent code
x_sign= sign(x); ... |
46e78d0abb97e4f09dad75d45c9473ed90aac080c34f95af331584ce10c813a3 | MATLAB | 703 | 36 | function [ status ] = encodeH264( target, varargin )
%encodeH264 - Transcode the .avi video given in `target` into .mp4
%
% Requires ffmpeg.
%
% Simeon Wong
% 2014 June 18
%% Parse Parameters
p = inputParser;
addOptional(p, 'qp', 25);
addOptional(p, 'savepath', []);
parse(p, varargin{:});
if isempty(p... |
4e8be72ad62d042526fec894137b14951b56011f25f76642b9c905b7e23c3e70 | MATLAB | 703 | 37 | function [spacecorr,evsource,evcomp]=V2eigs(patt,V);
[nchan,npat]=size(patt);
[nchan,ng,ndum]=size(V);
np=min([ndum npat]);
[u_p,s_p,v_p]=svd(patt);
o_patt=v_p*inv(s_p(1:npat,:));
spacecorr=zeros(ng,np);
evsource=zeros(ng,ndum,np);
evcomp=zeros(ng,npat,np);
for i=1:ng;
Vloc=squeeze(V(:,i,:));
[u_V,s_V,v_V]=sv... |
3faa90540dc9e36fdb6684780e8b4a576e1c8c959f7603f10e3418058393b9ea | MATLAB | 704 | 20 | function display(t)
%DISPLAY Command window display for a ktensor.
%
% DISPLAY(T) displays a Kruskal tensor with its name.
%
% See also DISPLAY, KTENSOR/DISP, KTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.... |
7149d7d0f8d15ba8f64b6de10370727264612ea80964be2e64aacb780ef38c68 | MATLAB | 704 | 26 | function l = rotate_start_label(start_pos_label,angle)
% CCW rotation -> angle > 0
% CW rotation -> angle < 0
R = func.rotation_mat(angle);
if strcmpi(start_pos_label,'N')
v = [0;1];
elseif strcmpi(start_pos_label,'S')
v = [0;-1];
elseif strcmpi(start_pos_label,'W')
v = [-1;0];
... |
bea7efcb5224a56f336c937e7dc013442664657e9c2bcc040c210d68f6bab8fb | MATLAB | 704 | 41 | function [Sx,dsdx,dsdp] = sigm(x,in,Phi)
% legacy code
s = warning ('on');
warning ('*** The function `sigm` is now deprecated. Please see `VBA_sigmoid` for an alternative.')
warning (s);
% fallback
if nargin < 2
in = struct ();
end
if nargin < 3
Phi = [];
end
if isfield(in, 'G0')
in.scale = in.G0;
... |
c23327cb47ad1766e71e2a2d0060ea3f2e463c0eb52919d243e62b80b8c268d8 | MATLAB | 704 | 19 | function mscmd_fit_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,'neglogprior')) opts.neglogprior=30; end;
cmd=sprintf('%s fit_stage --timeseries=%s --firings=%s --firings_out=%s --use_old=0 -... |
da112096378c436d706e6e7be7f81d38c22b0703dc32192e870f3ec819f386e3 | MATLAB | 704 | 11 | % GEOMETRY
%
% Files
% dmat_transpose_print - prints a double precision matrix, transposed.
% dmat_transpose_print_some - prints some of a double precision matrix, transposed.
% dvec_print - prints a real vector.
% line_exp_is_degenerate_nd - finds if an e... |
f0c77d4cfc265c27a3bbbd0e2deb237594e8dc8fe10b1b769ff0136bcf5d27d8 | MATLAB | 704 | 25 | function refocusSplashScreen(hfigsplash, hmain)
% Center the hfigsplash figure on the hmain figure, and make hfigsplash the
% current figure, which brings it into the foreground and gives it focus.
if ~isgraphics(hfigsplash),
return
end
% Get the outer position of the main figure, in pixels
oldunits = get(hmain,'Un... |
fb42c5f741d29e56ba737d83380a7cc057cec35d9f209426c3002e0d34bf8626 | MATLAB | 704 | 26 | function check = check_folders(basepath)
% see if DLC files are present for each video
% find all .avi videos and dlc files in basepath
video_files = dir(fullfile(basepath,'*.avi'));
video_files = video_files(~cellfun(@(x) ismember(x(1,2),'._'), {video_files.name}));
video_files = extractBefore({video_... |
0956133cafae444ecdd362723974b681b86ce9bab86d4b89c0926ba376fb0a40 | MATLAB | 705 | 36 | function LAN = mat2cell_lan(LAN)
% v.0.1
%
% 27.07.2012
% 02.04.2012
% 14.4.2009
if iscell(LAN)
for lan = 1:length(LAN)
LAN{lan} = mat2cell_lan(LAN{lan});
end
elseif isstruct(LAN)
if ~iscell(LAN.data)
paso = LAN.data;
tr = size(paso,3);
LAN = rmfield(LAN,'data');
if tr>1
% imp... |
16efad6e68f6765e9503774174f24886004cf74bb5e1b7488803c0bf4c3f29ba | MATLAB | 705 | 26 | % PlotCleanICs.m
% Sarah West
% 3/21/22
function [parameters] = PlotCleanICs(parameters)
% If the figure handle doesn't exist yet, create empty figure handle.
if ~isfield(parameters.sources_artifacts_removed_figure)
fig_overlay = figure;
fig_colormasks = figure;
else
... |
2aeae18ad2d6b9e93053c5c6174ac9f9ce9cac47f4a2d418cb673f5985498c9d | MATLAB | 705 | 20 | function n = ncomponents(t)
%NCOMPONENTS Number of components for a ktensor.
%
% NCOMPONENTS(T) returns the number of compontents in the ktensor T.
%
% See also KTENSOR
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www... |
554f6112a098f06a308f67e09997ea1f7d9731f0334f350b7e32671a4fe3407e | MATLAB | 705 | 17 | function k_spring = Convert_k(k,params)
k_spring = k;
if length(k) == length(params.LB) && length(k) == length(params.UB)
for i = 1:length(k)
if params.UB(i) == inf && params.LB(i) ~= inf
k_spring(i) = log(1+exp(k(i))) + params.LB(i);
elseif params.UB(i) ~= ... |
5f4519d63ca28797e1c0cd347e145e3c703120cf7db0dc89f3f2f85c4e4ead3a | MATLAB | 705 | 20 | [numrow,numcols] = size(INSDataTable);
binsize = 5;
downtime = 4; %4 bins, 20ms
for ck = 1:numrow
curBars = BARSFits(ck,:);
if sum(curBars)>0
INSDataTable{ck,26} = curBars;
spontStartTime = 1;
spontEndTime = 39;
INSDataTable{ck,27} = getZScoreSingle(curBars,'spont',[spontStartTim... |
a38fafd698406361937c725ebd46f3ce0f756aed59c367ec4ef941e6a680c9a4 | MATLAB | 705 | 18 |
function K = helm_dirichlet_kernel(x,y,zpuse,nuuse)
% KFUN(X,Y,zpars,NU) computes the Helmholtz potential evaluated
% pairwise between points in X and points in Y (does not handle the
% singularity). zpars says which layer potential to use
% using the surface normal vectors in NU.
dx = bsxfun(@minus,x(1,:)',y(1,:));
... |
b38c10de75c5ee2cf1238113c87cc031acccc7f37fc8f2829489b6c070041ab9 | MATLAB | 705 | 47 |
function [accuracy, timestamp_last_trained] = NNgetCurrentAccuracy(self, worker)
arguments
self (1,1) crabsort
worker (1,1) double
end
if self.verbosity > 9
disp(mfilename)
end
D = self.futures(worker).Diary;
accuracy = 0;
timestamp_last_trained = '';
if length(D) < 5
return
end
D = strsplit(D,'\n');
ac... |
b8d119d97df623bea6216aaf7ea3692b8b1bdbb9e4b17e6ac6dff22419772c27 | MATLAB | 705 | 22 | function [gparams,rftofit] = fitCenterGaussSurr(mdlparams)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
pxranges = round(mdlparams.gridcent) + (-mdlparams.cwindow:mdlparams.cwindow)';
[xuse, yuse] = meshgrid(pxranges(:,1), pxranges(:,2));
subfilters = (xuse(:)-mdlparams.subcnts(:... |
5b45a9569abe4883b4248fa8be7b0b73d50e7c04f4b086905672eb653a9a71f0 | MATLAB | 706 | 26 | function h=gaussPlot2d(mu, Sigma, varargin)
% Plot an ellipse representing the covariance matrix of a Gaussian
%
% This file is from pmtk3.googlecode.com
if size(Sigma) ~= [2 2], error('Sigma must be a 2 by 2 matrix'); end
[color, plotMarker] = process_options(varargin, 'color', 'b', 'plotMarker', true);
mu = mu(:)... |
6383e75afa63af2afa82771212e0ca63c78602a69ab638fa191f791e720de4c1 | MATLAB | 706 | 21 | function r = get_start_position(p0,arenaShape,L)
p0 = lower(p0);
if strcmpi(arenaShape,'square')
switch p0
case 'e'
r = round((L(1)-1)*L(2) + L(2)/2); % south position
case 's'
r = round(ceil(L(1)/2)*L(2)); % east position
case 'n'
... |
825501da6b72389c25d6a23a894262ad1ca3c62c4391643d7bf3bed8b315e500 | MATLAB | 706 | 21 | % M2HTML Toolbox - A Documentation Generator for Matlab in HTML
% Version 1.4 16-Jun-2004
%
% M2HTML main functions.
% m2html - Documentation System for Matlab M-files in HTML.
% mdot - Wrapper to GraphViz's <mdot> for dependency graphs.
% mwizard - Graphical user interface for m2html.
% private - Inte... |
8f33f0169c56a66d676ce9ab7b6411096252006d2929b718b41d6291f83796b0 | MATLAB | 706 | 32 | %% pro_SetModel: Set the model to the project
%
% Usage:
% pro = pro_SetModel(pro, model, name)
%
% Inputs:
% pro project structure
% model handle to the @(x)model(x,...) where x is a vector
% name optional, name of the model
%
% Output:
% pro pro... |
8f75b07e4e09a4b10fc1b5e84a351f8b2720151d6dfb0ae3b73cc1d9bd396885 | MATLAB | 706 | 31 | function uv = transformPoints(uv0,xy0,th0,xy1,th1)
% uv0: nptsx2 array of (x,y) coordinates
% xy0: single (x0,y0) coordinate pair
% th0: theta0, scalar angle
% xy1: etc
% th1: etc
%
% uv: npts2x array of transformed points
%
% Let F be the transformation (shift+rotatio) that maps (x0,y0,theta0) onto
% (x1,y1,theta1). T... |
9929e450c282ae732784ff3f2e3bb5524227d974348e591a670cb2891de2a83e | MATLAB | 706 | 30 | % RSKELF_MV_H Dispatch for RSKELF_MV with F.SYMM = 'H'.
function X = rskelf_mv_h(F,X,mode)
% initialize
n = F.lvp(end);
% upward sweep
if bitget(mode,1)
for i = 1:n
sk = F.factors(i).sk;
rd = F.factors(i).rd;
X(sk,:) = X(sk,:) + F.factors(i).T*X(rd,:);
X(rd,:) = F.factors(i).L'*X... |
d1defbffb5a726c3cf02eb7294a1ffa3821202b774aead459d6e957cfb500c09 | MATLAB | 706 | 30 | % RSKELF_SV_H Dispatch for RSKELF_SV with F.SYMM = 'H'.
function X = rskelf_sv_h(F,X,mode)
% initialize
n = F.lvp(end);
% upward sweep
if bitget(mode,1)
for i = 1:n
sk = F.factors(i).sk;
rd = F.factors(i).rd;
X(rd,:) = X(rd,:) - F.factors(i).T'*X(sk,:);
X(rd,:) = F.factors(i).L\X... |
f21e353dbdb182f0b79d376a4a0f4a9831ca16fce6ff63fa9f4740d5c810e0dc | MATLAB | 706 | 23 | function bf10 = t1smpbf(t,n,r)
%
% bf10 = t1smpbf(t,n,[r=0.707])
%
% Calculates JZS Bayes Factor for a one-sample t-test given t and sample size n.
% The optional input r is the scale factor which defaults to 0.707.
% This quantifies the evidence in favour of the alternative hypothesis.
% See Rouder et al, 2009, Psych... |
42237b42d6c06f9eea93a9358cc858c9a4108011835d9b80547f096e3cacc1f8 | MATLAB | 707 | 27 | function rawLbl(lbl_file,out_file)
tname = tempname;
mkdir(tname);
try
fprintf('Untarring project %s into %s\n',lbl_file,tname);
untar(lbl_file,tname);
fprintf('... done with untar.\n');
rawLblFile = fullfile(tname,'label_file.lbl');
catch ME
if strcmp(ME.identifier,'MATLAB:untar:invalidTarFile')
warning... |
6ced02a0ecbea3049776d29811a17450072b654e46b69e0c31dae1839b134c46 | MATLAB | 707 | 27 | function LANs = only_interband(LAN)
% aisla solo lo relebante del estudio interbanda
%
%
if isstruct(LAN)
LANs = only_interband_struct(LAN);
elseif iscell(LAN)
for lan = 1:length(LAN)
LANs{lan} = only_interband_struct(LAN{lan});
end
end
end
function LANs = only_interband_s... |
96c6208e85a52c3059577a54b1f8c3a51dfbcb60757f6955620fb2b7093124e0 | MATLAB | 707 | 34 | %
% Copyright (c) 2015, Yarpiz (www.yarpiz.com)
% All rights reserved. Please read the "license.txt" for license terms.
%
% Project Code: YPML110
% Project Title: Implementation of DBSCAN Clustering in MATLAB
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
... |
abcfbca892252dfe3a62bba618d87e9902e9ae052a68a096b0f32e611645d5da | MATLAB | 707 | 30 | function scorefilenames = get_score_filenames(hmdir,fly,ptis,ns,varargin)
[hmtype,firstframe] = myparse(varargin,'hmtype','jpg','firstframe',1);
switch hmtype,
case 'jpg',
scorefilenames = cell([numel(ptis),numel(ns)]);
for i = 1:numel(ptis),
for j = 1:numel(ns),
scorefilenames{i,j} =... |
eca9b0165a952e34edc1f90bc9b70e52f849b3ca323a32486d3f2950cbf85df2 | MATLAB | 707 | 24 | function [stat,msg] = myweb_nocheck(html_file)
if ismac,
[stat,msg] = unix(['open ' html_file]);
elseif isunix,
browsers = {'xdg-open','google-chrome','firefox','opera','konqueror','epiphany'};
browser = '';
for i = 1:numel(browsers),
[a,b] = unix(sprintf('which %s',browsers{i}));
b = strtrim(... |
ff41b865ac469d10580719e8f63469dd2834a6a4bb13464f5e4f223f338b5578 | MATLAB | 707 | 24 | function model = ppcaFit(X,K)
% Probabilistic PCA - find MLEs
% Each row of X contains a feature vector, so X is n*d
% Each column of W is a pc basis, so W is d*k
% We also return the evecs and evals of the covariance matrix
% which are useful for efficient evaluation of ppcaLogprob
% This file is from pmtk3.googlec... |
0fdd60a259624960ef96178f6bc951918810302e14d5059d00e42afb038932fa | MATLAB | 708 | 29 | % RSKELF_SV_SC Dispatch for RSKELF_SV with F.SYMM = 'S' and TRANS = 'C'.
function X = rskelf_sv_sc(F,X,mode)
% initialize
n = F.lvp(end);
% upward sweep
if bitget(mode,1)
for i = 1:n
sk = F.factors(i).sk;
rd = F.factors(i).rd;
X(rd,:) = X(rd,:) - F.factors(i).T'*X(sk,:);
X(rd,:) ... |
25a12aa4dfb25069195268b79624ea5906226a1816ee07a2cf746884fc52c8d4 | MATLAB | 708 | 32 | function chm = wmodvar2(ch,v,W,Wsum,Niter,ep)
%-----------------------------------------
% chm = wmodvar2(ch,kt,W,Wsum,Niter,ep,nsc)
%
% modify the weighted variance of an image matrix by taking
% gradient steps (see wvar2.m)
%
% ch: image
% v: target variance
% W: weighting functions
% Wsum: sums of weighting functio... |
2b0aaa31dcbbc7fd1e8176fbe92d1ee452068a68aac6f33786b6c1c3f176ddc7 | MATLAB | 708 | 24 | function D = dexpm(X, H)
% Fréchet derivative of the matrix exponential.
%
% function D = dexpm(X, H)
%
% Computes the directional derivative (the Fréchet derivative) of expm at X
% along H (square matrices).
%
% Thus, D = lim_(t -> 0) (expm(X + tH) - expm(X)) / t.
%
% Note: the adjoint of dexpm(X, .) is dexp... |
6b3ca5d0d284845da53539bd3619e638b32d941936bb9df090ddf2e1ea135b09 | MATLAB | 708 | 32 | function [data,nTrialsRejected] = meg_rejectTrials(data, dataDir)
% data = MEG_REJECTTRIALS(data)
%
% INPUT
% data
% data matrix, time x channels x trials
% OUPUT
% data
% data matrix, time x channels x trials rejected NaN
% nTrialsRejected
% number of trials rejected
%
% Karen Tian
% January 2020
%% check in... |
b6e4d6e426694b57a1e294cef53fb8e3a23f941ad4aaa9ba726fde489a89c0c7 | MATLAB | 708 | 29 | % RSKELF_MV_SC Dispatch for RSKELF_MV with F.SYMM = 'S' and TRANS = 'C'.
function X = rskelf_mv_sc(F,X,mode)
% initialize
n = F.lvp(end);
% upward sweep
if bitget(mode,1)
for i = 1:n
sk = F.factors(i).sk;
rd = F.factors(i).rd;
X(sk,:) = X(sk,:) + conj(F.factors(i).T)*X(rd,:);
X(r... |
e5b16ef1687d7b9ddce678191a54ec0b3e6d0b280b2256daf9981775660b1cea | MATLAB | 708 | 29 | function [yhat, sigma2Hat] = linregPredictBayes(model, X)
% Posterior predictive for linear regression model
% This file is from pmtk3.googlecode.com
[X] = preprocessorApplyToTest(model.preproc, X);
if isfield(model, 'netlab')
[yhat, sigma2Hat] = linregPredictNetlab(model, X);
return;
end
wN = model.wN; VN = mode... |
fa208d62fade3b1ec618eec4c98f0799870589fdd3b0c0c47d2e1f42ae528e60 | MATLAB | 708 | 20 | function [F] = calcSubunitActivationPhases(params, spforiphase)
%The function can deal with mulitple subunits
% Detailed explanation goes here
%Returns derivatives for grid spacing, xshift and yshift
%==========================================================================
spf = spforiphase(:, 1); ori = spforiphas... |
bd4129d9d2628322213a3de9222c5c35eb1ded29c9327b31cbd0ab30cb5d3f9f | MATLAB | 709 | 24 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Band pass filter
% Input:
% signal: row-wise signal
% fsamp: sampling frequency
% emgtype: 1 = surface, 2 = intra
% Output:
% filteredsignal: row-wise filtered signal
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
e22ae3823368a8f45f92bd96094bdbd998def5c7eb38574f52d32c4bc4f50387 | MATLAB | 709 | 36 | function [dt, timer_id] = stoc(timer_id)
%STIC TOC equivalent using precise system time.
% Usage:
% stoc
% stoc(timer_id)
% [dt, timer_id] = stoc
%
% See also: stic, systime
global stic_timers;
if nargin < 1
timer_id = numel(stic_timers);
end
if numel(stic_timers) == 0
error('You must call STIC before ... |
f083254db45ab1f8bff6e2d2ed69ce8d45eb75b5d67dfa7332ba3d64395361a1 | MATLAB | 709 | 25 | function [pZ, ll] = mixDiscreteInferLatent(model, X)
% Infer latent mixture node from a set of data
% pZ(i, k) = p( Z = k | X(i, :), model)
% ll(i) = log p(X(i, :) | model)
% X may contain NaN for missing values (in discrete case)
%%
% This file is from pmtk3.googlecode.com
nmix = model.nmix;
[n, d] = size(X); ... |
f1b181fdd5df19beb391fd8d084b85554e3f69d1abfdeca00dfb9e56a4d5a0a3 | MATLAB | 709 | 17 | function N = count_number_of_steps_in_lattice(r,L)
% r -> linear lattice index position, i.e. r(i) = y(i) + x(i)*L, where (x,y) -> (1..L,1..L) are the lattice coords
% this function should have the same functionality as the one with the same name in
% D:\Dropbox\p\uottawa\data\animal_trajectories\mouse_track\process_mo... |
fc7c9ab1e7fa2b3ea8809fd17528a374d826a866924280bf11e41591ca3152ab | MATLAB | 709 | 28 | function S = nameval2struct(C)
%NAMEVAL2STRUCT Converts a cell array of name-value pairs to a struct.
% Usage:
% struct = nameval2struct(nameval_cell)
%
% See also: struct2nameval
C = C(:);
% Check input
validateattributes(C, {'cell'}, {'vector', 'nonempty'})
assert(iseven(length(C)), ...
'Cell arrays of name-v... |
445fd2960342a2d12aaf449390a19f11fa81ce11594376256a4f4eca9ec1c168 | MATLAB | 710 | 16 | function [FWHM, pos] = h_findFWHM(ydata, thresh)
if ~exist('thresh','var')||isempty(thresh)
thresh = 0.5;
end
[maxY,I] = max(ydata);
labelY = bwlabel(ydata>thresh*maxY);
peak_ind = find(labelY==labelY(I));
% pos(1) = sum(ydata(peak_ind(1)-1:peak_ind(1)) .* [peak_ind(1)-1:peak_ind(1)]') / sum(ydata(peak_i... |
889ff07e8c8f71dd380baebf6eef9c760b23323450bc59ea9ba7c44f78bc7f4e | MATLAB | 710 | 22 | function [fx] = f_wsls(x,P,u,in)
% pseudo-evolution function for a "win/stay - lose/switch" strategy
% function [fx,dfdx,dfdP] = f_wsls(x,P,u,in)
% The "win/stay - lose/switch" strategy is encoded in terms of the
% evolution of pseudo q-values, which swap sign depending upon the
% feedback. Note: the feedback should ... |
54adbb5511d0ad1dd7e2d03b26f8a495aa800cefe657f5c8ddd9c8f7f19c549e | MATLAB | 711 | 32 | function res = structapply(s,fcn,varargin)
% Apply function to leaf notes of nested struct
%
% s: scalar struct (typically nested)
% fcn: function handle with sig: res = fcn(fld,val)
%
% res: containers.map with keys as fully-quald paths and vals as res
verbose = myparse(varargin,...
'verbose',false ...
);
path ... |
a1a4a5d168cea27e3fc3709ecb065573b50fcbd32f264dca3bef2c330e0ab787 | MATLAB | 711 | 20 | function [] = utils_display_dipole(dip_plus,dip_minus, linecolor)
%UTILS_DISPLAY_DIPOLE Summary of this function goes here
% Detailed explanation goes here
x0 = dip_minus(1); x1 = dip_plus(1);
y0 = dip_minus(2); y1 = dip_plus(2);
z0 = dip_minus(3); z1 = dip_plus(3);
circle_size = 25;
hold on
scatter3(x0,y0,z0,circl... |
dec69bcc84a6313fe98226d2120c63911de7944cbde244cfe13b92e7af653fa5 | MATLAB | 711 | 27 | function writeCSVfromTranscriptObjects(transcript_objects,filename)
%Write all the aligned transcripts to a csv
DELIMITER = char(9);
fileID = fopen(filename,'w');
for t_idx= 1:length(transcript_objects)
transcript = transcript_objects{t_idx};
if isfield(transcript,'name')
fprintf(fileID,'%i \t %s \t',t... |
f5854a06e68824dd532b96b20e3a396f04a8f49cde6c2a277fcb63d938c4e970 | MATLAB | 711 | 14 | function ph = plot_square_circular_hole(ax,r_center,R,square_offset,varargin)
t = linspace(0,2.*pi,10000);
t = t(1:(end-1));
x0 = r_center(1);
y0 = r_center(2);
x_circle = x0 + R.*cos(t);
y_circle = y0 + R.*sin(t);
x = [ max(x_circle)+square_offset, max(x_cir... |
162e446d224a7994a36d066abfaf3aa0ddeee53d4c8aa595a1489667ca111ce9 | MATLAB | 712 | 26 | function spkDat = MoveClusters(spkDat, clustList, varargin)
% 11/21/2016 M. Farries
destination = 'top';
oldLabels = setdiff(unique(spkDat.id), 0);
nClust = length(oldLabels);
[~, clustIdx] = ismember(clustList, oldLabels);
otherClust = setdiff(oldLabels, clustList);
[~, otherIdx] = ismember(otherClust, oldLabels... |
3f970755c9a2682b74802a82001c0a9caabbe3bb072caa236e3e0bf3a4f10696 | MATLAB | 712 | 28 | function conn_ele=get_conn_ele_2d(t)
% returns a list of elements which share each node:
% [e1 e4]
% [e3 e5]
% [e4 e5]
ne=size(t,1);
%assuming that 2d bdy is a closed one therefore number of points is the
%same as number of elements
conn_ele=zeros(ne,2);
for i=1:ne
n1=t(i,1); n2=t(i,2);
if (conn_ele(n1,1)==0)
... |
1d786685b421ba1b424eb51a57c0d587729a39c4909ef21f5afaefaf9397afec | MATLAB | 713 | 29 | function varargout=lsw(f)
%LSW List directory with wildcards
% LSW works as Matlab's built-in LS, but wildcards (*) are interpreted
% differently:
% LS mydir* lists the directory names matchning 'mydir*'
% LSW mydir* lists the content of the first directory matching
% 'mydir*... |
6b2c4602ef75a81824747b95313b8604f54dafad93589127861db590c6b0b997 | MATLAB | 713 | 19 | function result = charAdd(baseChar, num)
% 将基础字符转换为数字（'A' = 1, 'B' = 2, ..., 'Z' = 26）
baseNum = double(baseChar) - 'A' + 1;
% 计算总数，包括从基础字符开始的偏移量
totalNum = baseNum + num;
% 初始化结果字符串
result = '';
% 当总数大于0时进行处理
while totalNum > 0
% 减1是为了使'A'成为循环的起点（'A'到'Z'，然后是'AA', 'AB', ...）... |
8e43fe91257fc8d2b8f5c9f6fa7a945df8306f0730b36becc2da9636735bbf91 | MATLAB | 713 | 28 | function V = volume_tetrahedron(a,b,c,d)
% VOLUME_TETRAHEDRON Calcultes tetrahedron volume.
%
% SYNTAX:
% [V] = VOLUME_TETRAHEDRON(A,B,C,D)
% VOLUME_TETRAHEDRON(A,B,C,D)
%
% [V] = VOLUME_TETRAHEDRON(A,B,C,D)
% - A, B, C and D - are m by 3 matrices of (x,y,z) cartesian coordinates
% of vertice... |
ac4ea72027ca5acdff25b484e150debe0ee54f4bf7a86ffe8609d99f421f5ee3 | MATLAB | 713 | 19 | function ImageArray_Reg1 = TranslateArraySimple(ImageArray_Reg, DeltaX1, DeltaY1);
LastImageNumber = size(ImageArray_Reg, 3);
% this if is for when DeltaX, DeltaY are just one vector each (translate whole
% array by these two vectors, instead of separate DeltaX, DeltaY for each
% image)
if (length(DeltaX1)==... |
bff047a5bbe7645d4846f4d733c3ca68aee5289b3152d4914a8609f0634ce3ad | MATLAB | 713 | 28 | function plotSubunitGrid(subcents, subwts)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
subcents = double(gather(subcents));
subwts = double(gather(subwts));
opts = {'QJ', 'Pp'};
[v,c] = voronoin(subcents, opts);
gridXc = mean(subcents(:,1));
gridYc = mean(subcents(:,2));
% m... |
ea1f205ec5b1ff69f6c610a15a3e92f261402eeea6c2e8355619e8d8fd81aebe | MATLAB | 713 | 20 | % plot_Fig6ab
% Plot activity of Min neurons during motion viewing and motion
% discrimination task
if ~exist('sigSL'); load(fullfile(saveLoc, 'sig_allSessions')); end
tmp = load(fullfile(saveLoc, 'sig_view_allSessions')); sigSLv = tmp.sigSL; clear tmp
plotSig = {'MinC', 'MinI'};
sigName = {'S^{left}_{Min} [sp... |
f67304c0b94f96e4e0280ca393338309d2b4228610ab0352cb7d082284e15204 | MATLAB | 714 | 27 | %indices = batches{j};
%sdat = s_data(:,indices);
%ghat = gamma_hat(j,:);
%dhat = delta_hat(j,:);
% g.star is first row
% d.star is second row
function adjust = inteprior(sdat, ghat, dhat)
gstar = [];
dstar = [];
r = size(sdat,1);
parfor i = 1:r
g = ghat;
d = dhat;
g(i)=[];
... |
fc88486f9fb5b189268ee1a95c3dee341707ed48328ce1b5244c87d1fabeacbc | MATLAB | 714 | 34 | %% Optimization illustration
%
%%
% This file is from pmtk3.googlecode.com
function optMaxLambdaVal()
f = @(x)x-(x-x.*log(-x));
domain = -1:0.0005:0;
figure; hold on;
m = -1/exp(1);
plot([m,m],[0,f(m)],'-k','LineWidth',4);
plot(domain,f(domain),'-r','LineWidth',5);
axis([-1 0 0 0.4]);
set(gca,'XTick',[-1 -0.5 0],'YTi... |
1a9bc152e681a74378b03aa302532b067f2e8c8d09e112a9965cb2d7ee718401 | MATLAB | 715 | 29 | % 2024-09-16: voxel-wise dictionary lookup function using dot product
% matching
% Inputs: x - signal vector over 3 echoes
% dict = struct containing dictionary, made by dict_create.m
% This version estimates t2 and b1, as in the original Ben Eliezer method
% Shaihan Malik, King's College London, 2024
func... |
1b6a592881bd752be9748971412b0e1728974466680483aba9483f714323e558 | MATLAB | 715 | 34 | function P=w_StatToP(StatVal, StatOpt)
TestFlag=StatOpt.TestFlag;
if isempty(TestFlag)
P=[];
return
end
Df1=StatOpt.Df;
if isfield(StatOpt, 'Df2')
Df2=StatOpt.Df2;
end
if StatOpt.TailedFlag==1
Scale=1;
elseif StatOpt.TailedFlag==2
Scale=2;
else
error('Invalid Tailed Flag')
end
switch upper(T... |
1cea83c3608e36c3e47107dbff49256383bb64d1ae72a3886a245f5bd2d672de | MATLAB | 715 | 26 | function path = meg_pathToTAMEG(exptName, user)
% function path = meg_pathToTAMEG(exptName, user)
if nargin < 1
error('Must provide experiment name [TANoise or TA2]')
end
if nargin < 2 || isempty(user)
user = 'mcq';
end
switch user
case 'mcq'
root = '/Volumes/purplab2/EXPERIMENTS/1_Current_Experim... |
29ba0200d4a15215c98509ca9145b2ca86697c36d4aa519f4363e889e07d0c72 | MATLAB | 715 | 18 | function plot_segmented_nuclei( nuclei_seg, name )
% ----- Plot nucleus label matrix ---
label = bwlabeln(nuclei_seg);
[nx, ny, nz] = size(nuclei_seg);
rgb = zeros(nx, ny, nz, 3);
for j = 1:nz
rgb(:,:, j, :) = label2rgb(label(:,:, j));
end
rgb_z... |
4c3e1173c08d8367daf0bf7ce487d961939757ca2667328ca73f01dc33730467 | MATLAB | 715 | 23 | function preds = fitAndPredictOutputNL(gensfit, genspred, spikesfit, funtype)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
[svals, scents] = getNonlinearity(gensfit, spikesfit, 40, 1);
switch funtype
case 'logistic4'
guess = fitRLogisticToSpikes(double(scents), do... |
563cecc826b2aafd9b28fa5b023fdd22ea1324eb81857e23b4fe74667b683f8a | MATLAB | 715 | 26 | function [spikes, xax] = qrt_get_spikes(qRT, LAN, chan, w_pre, w_post)
if nargin < 5; w_post=qRT.cfg.w_post; end
if nargin < 4; w_pre = qRT.cfg.w_pre; end
% if nargin < 3; chan = qRT.chan; end
ind = find(qRT.chan == chan);
TS = ceil(qRT.laten{ind} * LAN.srate / 1000);
bounds = [w_pre+1 LAN.pnts-w_post];
useless = TS ... |
6ab9344cab06e7ebdea32a0f6f823c45be177845c4f84e4918454b63d436e8a1 | MATLAB | 715 | 47 | function ftrate = wlFT_getSamplingRate(trialdata)
% function ftrate = wlFT_getSamplingRate(trialdata)
%
% This function returns the sampling rate used within a Field Trip trial data
% structure. Priority is given to "rawsample", then to "hdr.Fs", and then to
% "1.0 / (time{1}(2) - time{1}(1))". NaN is returned on erro... |
3fffb28626140c7d65058dd371e2e544fa2e84850e38a8b6207365e54e9ee01f | MATLAB | 716 | 15 | function distance = calcTDTDist(electrode1,electrode2)
electrodes = [1 3 5 7 2 4 6 8;10 12 14 16 9 11 13 15]';
elecdistx = [0 250 500 750 1000 1250 1500 1750;0 250 500 750 1000 1250 1500 1750]';
elecdisty = [0 0 0 0 0 0 0 0;375 375 375 375 375 375 375 375]';
[elec1WhereX,elec1WhereY] = find(electrodes==electrode1);... |
6ddef8f4cb630b16b0b62cd546adc6648eca66142b5b2569bf79c87e0b24ab15 | MATLAB | 716 | 22 | function generate_ROI_masks(stat_path,exp_folder,N_ROIs)
% ========================================================================
% Ruslan Masharipov, October, 2023
% email: ruslan.s.masharipov@gmail.com
% ========================================================================
tic
mask = eye(N_ROIs);
% Make folde... |
b97c411d572ae96475775ba92efb97eb764d4322d236640939ec836c8d95c3af | MATLAB | 716 | 25 | function info = dirinfo(directory)
% Collect information about the files in a directory structure
%Recursively descend through the directory structure, starting at the
%specified directory and collect information into a struct array with
%fields, path, m, mat, mex, mdl, p, classes, packages. This is effectively
%a rec... |
c70632697d5a03c685354223b74a300a41255c8063376a0f660886b29397f088 | MATLAB | 716 | 29 | function [rsq rsq2 y_fit_meanCorrected adjrsq] = calculateRSQ(y,y_fit,meanSub,d)
% function rsq = calculateRSQ(y,y_fit,meanSub)
% y: real data
% y_fit: fitted data
% d: number of parameters
% n: number of samples (here, time points)
% Calculate r-squared
if meanSub % mean subtraction
meanDiff = mean(y,'omitna... |
cbba4a505f96cc2ba3ad89b11132500ca914130282e253bb31433faff9e2e763 | MATLAB | 716 | 21 | function se = meshconnte(t, edges)
% SYNTAX
% se = meshconnte(t, edges)
% DESCRIPTION
% This function returns edges (indexes into array edges) for every
% triangle - a Nx3 array. It is meaningful for manifold meshes only
% Copyright SNM 2012-2018
% The Athinoula A. Martinos Center for Biomedical Imaging... |
5846b53c8be50cd4f74ea67a26c4161000b9e82d9c75555a428f9614614ad84b | MATLAB | 717 | 23 |
[corr_pyr,corr_int] = extract_variables ('pair_corr','tot',resultsPath, 'pyr','int',conditionType,conditionValue);
[NRace] = extract_variables ('SCE',[],resultsPath, 'NRace',[],conditionType,conditionValue);
[time] = extract_variables ('time',[],resultsPath,[],[], conditionType,conditionValue);
maxTime = zeros(1,size... |
c0639e1088e66b69bbcac97d52980c2cd942f4cae16f7e1db6bfc3bd1c2c4d43 | MATLAB | 717 | 39 | %% Compare Gauss, and Laplacian distributions
%
%%
% This file is from pmtk3.googlecode.com
xs = -4:0.2:4;
v = 1;
mu = 0;
pr{1} = gaussProb(xs, mu, sqrt(v));
% variance of laplace = 2b^2
b = sqrt(v/2);
pr{2} = 1/(2*b)*exp(-abs(xs-mu)/b);
legendStr = {'Gauss', 'Laplace'};
%[styles, colors, symbols] = plotColors;... |
c1eac45c8effb8774421857b595a9e49e5c9dc53e318a61108e23155f3b7afe5 | MATLAB | 717 | 36 |
%%% Extraction of the final intrinsic and extrinsic paramaters:
fc = solution(1:2);
kc = solution(3:6);
cc = solution(6*n_ima + 4 +3:6*n_ima + 5 +3);
% Calibration matrix:
KK = [fc(1) 0 cc(1);0 fc(2) cc(2); 0 0 1];
inv_KK = inv(KK);
% Extract the extrinsic paramters, and recomputer the collineations
for kk = 1... |
c6382ab099c5d3d37c3ce2ea099c8a1452c9d08e375f98689e9d939227a41ae3 | MATLAB | 717 | 24 | function [pth,nam,ext,num] = VBA_spm_fileparts(fname)
% Like fileparts, but separates off a comma separated list at the end
% FORMAT [pth,nam,ext,num] = spm_fileparts(fname)
% fname - original filename
%
% pth - path
% nam - filename
% ext - extension
% num - comma separated list of values
%_______________... |
56e8d4aa8ceb05df3f251b07bc8ea72579dae5d046fc50a25473911028d506b7 | MATLAB | 718 | 25 | function labels=getLabelsFromExpDirs(expDirNames,labelFileNameRel)
% ALTODO: guess this is deprecated
nExps=length(expDirNames);
labels = ...
struct('t0s',cell(1,nExps), ...
't1s',cell(1,nExps), ...
'names',cell(1,nExps), ...
'flies',cell(1,nExps), ...
'off',cell(1,nExps), ...
... |
811b1a99501548d5ddfb52ada3e16fe2eb5aa0704fa8bf60dc53f12b56f29027 | MATLAB | 718 | 30 | classdef TestAllDemos < matlab.unittest.TestCase
properties (TestParameter)
demo = findDemos ();
end
methods (Test)
function testDemo (testCase, demo)
setup = 'pause off; warning off; ' ;
try
evalin ('base', [setup demo ' ; close all'])... |
c68a2df7f75c011ba3968a20dd0a21f937e6411fae9183d6ff02dd256919fe1c | MATLAB | 718 | 19 | function ImageArray_Reg1 = TranslateArrayParallel(ImageArray_Reg, DeltaX1, DeltaY1);
LastImageNumber = size(ImageArray_Reg, 3);
% this if is for when DeltaX, DeltaY are just one vector each (translate whole
% array by these two vectors, instead of separate DeltaX, DeltaY for each
% image)
if (length(DeltaX1)... |
dc99cdd9c1ccd871eb0e5d58f2b14e27f4ba5524541fd02ab17052845436df37 | MATLAB | 718 | 27 | function resDP = DPcal(data,iteration,varargin)
for i = 1:2:length(varargin)
eval([ varargin{i} '=varargin{i+1};']);
end
labels = data(:,2);
scores = data(:,1);
try
[~, ~, ~, resDP.value] = perfcurve(labels, scores, 1);
for i = 1:iteration
[~, ~, ~, AUC, ~] = perfcurve(labels(randperm(numel(labels))), ... |
f3d818a4a3a86ecb7f6347a5817267edae8ec30336a792ffe60fb9643c7de639 | MATLAB | 718 | 24 | function mscmd_filter_events(firings_in_path,firings_out_path,opts)
if (nargin<3) opts=struct; end;
if (~isfield(opts,'detectability_threshold')) opts.detectablity_threshold=0; end;
if (~isfield(opts,'outlier_threshold')) opts.outlier_threshold=inf; end;
if (isinf(opts.outlier_threshold))
opts.outlier_threshold=... |
1ce5ed30237d93af633daf11bc3ea4f0f02edd7c3542af15c8bc9bb0686e2ec1 | MATLAB | 719 | 19 | % FillMasks.m
% Sarah West
% 9/1/21
% Takes a vector of mask indices and a matrix of data and fills in the mask
% indices (with NaNs) that have been removed by masking.Returns the images
% in the 2D format (because using it in 2D is the only time you'd want to
% fill in the mask anyway).
function [parameters]=FillMas... |
3d96000af1c18a6a4196320998518026c1d070211c52e6d52aa6baf042ecbea0 | MATLAB | 719 | 27 | function [X] = preprocessorApplyToTest(preproc, X)
% Transform the test data in the same way as the training data
% This file is from pmtk3.googlecode.com
if isempty(preproc), return; end
if isfield(preproc, 'Xmu')
X = centerCols(X, preproc.Xmu);
end
if isfield(preproc, 'Xstnd')
X = mkUnitVariance(X, prepro... |
bcaad2527096ecdd17d553b5a7e62412bbb8d302f75aaf2b5bda08e05f051d08 | MATLAB | 719 | 23 | %% Illustration that the epigraph of a convex function is a convex set.
%
%%
% This file is from pmtk3.googlecode.com
function epigraph
f = @(x)(x-4).^2;
domain = (0:0.01:8);
subdomain = 0:0.1:8;
xline = max([subdomain;subdomain+1]-1,min(domain));
yline = [f(max(domain))*ones(size(subdomain));f(subdomain)];
p1 = lin... |
d7bb00460cd2d87915a959469536c4f72764ebeadb89b9bc8ea515dc6278ef8e | MATLAB | 719 | 25 | function jtree = updateJtreePots(jtree, factors)
% Rebuild the precomputed jtree after model params have changed
% The jtree structure does not change, just the clique potentials.
% This file is from pmtk3.googlecode.com
ncliques = numel(jtree.cliques);
factorLookup = jtree.factorLookup;
nstates = jtree.nstates;
clqs... |
e7d0d0808ad343bf33f3ad30b972b6d1beb7e8710c89e40fc37660cc2e2e57fc | MATLAB | 719 | 27 | function [y,bs] = buffered_stats(data,frame,overlap,type)
% [y] = buffer_variance(data,frame,overlap,type)
% input data: input vector of data
% frame: frame size (scalar value)
% overlap: overlap size between frames (scalar value)
% type: i.e. std, mean, median, ...
if nargin<4
... |
14b40b98010bbfae10c2af155f14dea313cfb98c462c11c7010441c13e167091 | MATLAB | 720 | 20 | function [m c] = linmap( li, ui, lo, uo )
% LINMAP Calcultes the parameters for remaping data linearly
% INPUT:
% li - Lower bound input range for independent variable
% ui - Upper bound input range for independent variable
% lo - Lower bound input range for dependent variable
% uo - Upper... |
3d2d6d71b5b90671839bf20c1a0f5ac2be578864acb6e3495f4d987048ddd6bb | MATLAB | 720 | 28 | %% Make a 'relevance network' from the small 20-newsgroup data
% (See also chowliuTreeDemo)
% This file is from pmtk3.googlecode.com
loadData('20news_w100'); % documents, wordlist, newsgroups
%X is 16,642 documents by 100 words (sparse logical matrix)
X = documents';
[mi, nmi] = mutualInfoAllPairsDiscrete(X);
mi ... |
c007f9b057443527352251d2e56180c261c3d516b25971fac776b3dec66af690 | MATLAB | 720 | 34 | function tf = isabstract(className)
% Return true iff the class is abstract
% PMTKneedsMatlab 2008
% This file is from pmtk3.googlecode.com
if hasTag(which(className),'%PMTKabstract')
tf = true; return;
end
tf = false;
metaInfo = meta.class.fromName(className);
if(numel(me... |
50a1885591a43e56d13499e5d425f52f7a93f14b53d52394236692b32de9adfc | MATLAB | 721 | 28 | function []=create_ft_model(pat_ix, model)
pat_cell = {'110411','117122','120111','122317','122620','124422','128632','130013','131722','138534','149337','149539','151627','160123','198451'};
pat_cell
fprintf("pat_ix=%s" ,pat_ix);
pat_ix = str2num(pat_ix);
patno = pat_cell{pat_ix};
% select patient
cd ..;
cd .... |
60ca0ebbc977ce4214d6045d0953cdf506c1a0ba92312343c487455550710646 | MATLAB | 721 | 28 | function Kc = kernelCentering(K, Ktest)
% Center a kernel matrix
% Kc = kernelCentering(K) returns size n*n
% Kc = kernelCentering(Ktrain, Ktest) returns size ntest * ntrain
% This file is from pmtk3.googlecode.com
%PMTKurl http://www.kernel-methods.net/matlab/algorithms/centering.m
%PMTKauthor John Shawe-Taylor
%P... |
b4633fc370be82d66f143ce8908425db11f774014f640ecacaf8decf9fc3f053 | MATLAB | 721 | 37 | function templates=ms_templates(clips,labels)
%MS_TEMPLATES - Compute templates (mean waveforms) corresponding to each
%spike type.
%
%Consider using mscmd_templates
%
% Syntax: templates = ms_templates(clips,labels)
%
% Inputs:
% clips - MxTxNC array of clips
% labels - 1xNC array of integer labels
%
% Outputs:... |
094867e077c86ffe4fa7b2330775491d54288fedaf281428398a32be035507f0 | MATLAB | 722 | 19 | % make mid-gray surface
% before we push volume onto surfaces,
% we need to make mid-gray surfaces,
% which is necessary in the next step.
% cd('/home/stone-ext1/freesurfer/subjects/litong_dxh1/surf/');
%cd('/home/xianchige/YQZD/subject/sub17/surf/');
cd('/home/xianchige/DPHZD/subject/sub09/surf/');
unix('mris_expan... |
0a6cc152723b3153ca88b1f5d315d022b27fe238dbb67125d43358a4eec5f648 | MATLAB | 722 | 24 | function [corTrace] = corrTrace(Y, ROIs, padding)
% [corTrace] = corrTrace(Y, ROIs, padding)
if(nargin<3)
padding = 3;
end
corTrace = NaN(size(ROIs,3),size(Y,3));
for i_roi = 1:size(ROIs,3)
this = ROIs(:,:,i_roi);
[b,a] = find(this>0);
bb = [min(b) max(b)]+paddin... |
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