sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
2d3f7965f48e4511722383f9c18e3dac1376e37dfe3c031076cf6f5074549bb2 | MATLAB | 636 | 23 | function err = can_hrf_fit(vP,y,st)
% fits SPM's canonical HRF based on two gamma functions
% vP = parameters: 1-6 are those in spm_hrf; 7 is amplitude scaling
% y = FIR data
% st = FIR pst
% usage:
% [p, err, flag] = fminsearch(@(vP) can_hrf_fit(vP,y,st))
dt = 0.1; % resolution of 0.1s
t ... |
3d93012beabcb6251de358bbb3bd7784f1f5ba10e22f805567b0b71b9ea8fc55 | MATLAB | 636 | 27 | function data_expre_c=splineformissing(data_expre,time)
nan=isnan(data_expre);
nansum=sum(nan,2);
for a=1:size(data_expre,1)
z=1;
if nansum(a)>0
tt=zeros(1,(size(data_expre,2)-nansum(a)));
gene0=zeros(1,(size(data_expre,2)-nansum(a)));
for b=1:size(data_expre,2)
... |
4546a0ca6ea70df247884b2c91e61cb8d5cd210f693a1e416e280e5c779e484a | MATLAB | 636 | 23 | function sigma_R = metastability_calculation(BOLD_data,window_size)
% Preallocate the phase and order parameter matrix
phases = nan(height(BOLD_data),450);
order_param = nan(height(BOLD_data),1);
% Loop over each ROI
for roi = 1:width(BOLD_data)
time_series = BOLD_data(:,roi);
analytic_signal = hilbe... |
7357c14cc3613a4d63ff0cd72c0389ed52ea4b8778e1c38ef5a6258bdde68efa | MATLAB | 636 | 18 | function [Mean_Out, STD_Out, SEM_Out, CV_Out, Num_Out]=Mean_STD_SEM_CV2(MeanDimension,InputData)
InputData(InputData==Inf)=NaN;
if any(isnan(InputData(:)))
Mean_Out=nanmean(InputData,MeanDimension);
STD_Out=nanstd(InputData,0,MeanDimension);
Num_Out=sum(~isnan(InputData));
... |
a25159fbbe8465cd2b525f4fd908c3e35a3b50d854d38b8658cb81b1de299ab6 | MATLAB | 636 | 27 | %% 3D Monge-Ampere operator for blob detection
% Author: Antonio Martinez-Sanchez
% T: intput tomogram
% s: scale for anistropic filtering
% r: aspect ratio for anistropic filtering
% B: blob detection
function B = blobdetec( T, s, r )
%% Anistropic filtering
I = angauss( T, s, r );
%% Directional derivatives
Ix = di... |
78beca0f47f65c8345f836060bf250f1b3bfb845e29338b67d64761ab7ab24c1 | MATLAB | 637 | 29 | function ext = get_ext(path, no_dot)
%GET_EXT Returns the extension in a path. The path need not exist.
% Usage:
% ext = get_ext(path)
% ext = get_ext(paths) % cell array of paths
% ext = get_ext(_, no_dot) % if true, returns ext without dot (default: false)
%
% Notes:
% - Extension returned will be the charact... |
b2b820da35d36d916a9eecb88411aa8cf3d5cb0b83d8833dd27997142e88f428 | MATLAB | 637 | 19 | rgb = [112 112 112; 26 127 187]/255;
figure('color', [1 1 1]);
h(1) = plot(time,mean(lip_accuracies{2},1),'color',rgb(1,:),'Linewidth',8);hold on
h(2) = plot(time,mean(fef_accuracies{2},1),'color',rgb(2,:),'Linewidth',8);hold on
ylim([40 100]);
xlim([-0.05 0.2]);
array_pres = 0;
chance = 50;
plot([arr... |
f6ee5f2d4bd10c8c77587ea475f98cec89b6cd070bb435bd063f65d4552de86f | MATLAB | 637 | 16 | %Evaluate cost function for closest representative search given coefficients
%function ft=essential_distMinAnglePair_ft(t,m1,p1,c1,m2,p2,c2)
%Evaluates the cost function used by essential_distMinAnglePair to find the
%closest representative in the equivalence class of a QREM
%If m2,p2,c2 are omitted or empty, get v... |
34c281085105eecd6d786614e427083513ba5cf6cd5862336aee516c792c728f | MATLAB | 638 | 19 | %%
%load a token image so we get the size
img = load3DTif('/Users/Goody/Neuro/ExSeq/registration_analysis/20170813regtest/exseqautoframe7_round004_summedNorm_registered.tif');
load('/Users/Goody/Neuro/ExSeq/exseq20170524/exseqautoframe7_puncta_filtered.mat');
%load the puncta_allexp.mat file
%%
%Make a 3D image of t... |
79f2fe796edc96ee4a4dbeea6b50985b6224d3cba9d880bf6e235938bfef80ed | MATLAB | 638 | 15 | function setup = StateSwitch_settingsResting_MR(setup)
% settings for resting state eeg
setup.DEBUG = 0;
setup.opacity = .4;
setup.keyB = 1;
setup.ET.useET = 0;
setup.EEG.useEEG = 0;
setup.EEG.DIO.pa... |
7b3876ecc6e9b610c21d4433956fb6f4e260c82ab4dfff3dbfad182999453f37 | MATLAB | 638 | 24 | function [pZ, pX] = noisyMixModelInfer(model, Y)
% Y is Ncases * Nnodes * Ndims
% so Y(i,j,:) are the observations for node j in case i
%
% Z -> Xj -> Yj
%
% pZ(i, k) responsibility of cluster k for case i
% pX(i, c, j) = p(Xj = c | case i)
%
% This interface is similar to mixInfer, and is batch-oriented.
% Use noisy... |
afd8a21bea5a9cb64d292a6ddd5f55151fa4b00bfbb90739f8eb7315445cf9f8 | MATLAB | 638 | 30 | % Tomogram (3D) equalization for blob detection
% Author: Antonio Martinez-Sanchez
% T: input tomogram
% M: binary mask for input data
% n: number of bins for the histogram
% mode: 1-> vesicles center enhancement, otherwise-> usual
% E: output histogram (with constrast enhanced) with range [0,n];
function E = histeq3db... |
de1f7c10dbef78b3af13f2dc5a18b87cbc82c7a10521caebe1811c1f42a00909 | MATLAB | 638 | 24 | function [E, V] = VBA_dirichlet_moments (a)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [E, V] = VBA_dirichlet_moments (a)
% Derives the first- and second-order moments of a Dirichlet density
%
% IN:
% - a: parameters of the Dirichlet distribution (pseudo-counts)
% OUT:
% - E: fi... |
8e57f1cc5ee4eaee52af9773c1704dff78a2738b4f45b1b848bc60291527f2f3 | MATLAB | 639 | 29 | function V=grid2V(grid,fp);
% makes forward calculation for a grid for unit
% dipoles in all 3 directions
% usage V=grid2V(grid,fp);
%
% input:
% grid nx3 matrix, each row is a the location
% fp structure to make forward calculation
% output:
% V nxmx3 matrix, for m gridpoints
% V(i,j,k) is the poten... |
9d4d1cfc6f332cef8192e23a7a01efb53246e964777c1c001845b005070fbf1a | MATLAB | 639 | 25 | function S = gaussSample(arg1, arg2, arg3)
% Returns n samples (in the rows) from a multivariate Gaussian distribution
%
% Examples:
% S = gaussSample(mu, Sigma, 10)
% S = gaussSample(model, 100)
% S = gaussSample(struct('mu',[0], 'Sigma', eye(1)), 3)
% This file is from pmtk3.googlecode.com
switch nargin
case 3... |
a0dfbeb9bb367790fc5db99bd1dd8993fdc0107d0b1309427ab01de6890ac465 | MATLAB | 639 | 26 | function [V, Q, iter] = value_iteration(T, R, discount_factor, oldV)
% Solve Bellman's equation iteratively.
% [V, Q, niter] = value_iteration(T, R, discount_factor, oldV)
% oldV is an optional staring point.
S = size(T,1);
if nargin<4
% set initial value to R
oldV = max(R,[],2);
end
done = 0;
% We stop iterati... |
223eeccba526e23976c19a0b6f95556181c8640a85046f492f7d54d5e3a63edc | MATLAB | 640 | 20 |
load clab_example;
%sa=prepare_sourceanalysis(clab_example);
dips=[[3 0 8 0 0 1];[-3 0 8 0 0 1]]; %define two dipoles
v=forward_general(dips,sa.fp); % calculate the fields;
vv=v*[[1 1 ];[1 -1]]; %mix the the fields
[s,vmax,imax,dip_mom,dip_loc]=SMusic_v1(vv(:,2),sa.V_fine,sa.grid_fine);
grid_fine_val=[sa.grid_fi... |
626da35510e29750acd6b295bbee70e007f647ade367f5631f7b4717e04c5c01 | MATLAB | 640 | 37 | function coh=dicscoh(L,C,refind,alpha);
if nargin<4
alpha=0;
end
[nchan nchan]=size(C);
[nchan ns ndum]=size(L);
Cr=C+alpha*eye(nchan);
Crinv=inv(Cr);
A=zeros(nchan,ns,3);
for i=1:ns
Lloc=squeeze(L(:,i,:));
A(:,i,:)=reshape((inv((Lloc'*Crinv*Lloc))*Lloc'*Crinv)',nchan,3);
end
Aref=transpose(squeeze(A(:,... |
211fe95113d43e0706b26e30ef07f17ae3f19852bd20bfdcb61e288ec775a981 | MATLAB | 641 | 27 | % HIFDE_MV_P Dispatch for HIFDE_MV with F.SYMM = 'P'.
function X = hifde_mv_p(F,X)
% initialize
n = F.lvp(end);
% upward sweep
for i = 1:n
sk = F.factors(i).sk;
rd = F.factors(i).rd;
T = F.factors(i).T;
if ~isempty(T), X(sk,:) = X(sk,:) + T*X(rd,:); end
X(rd,:) = F.factors(i).L'*X(rd,:)... |
6a75808f11dca424e8847ccfe694dd1330f384a85d8897efdf68508338ab70d4 | MATLAB | 641 | 27 | % HIFDE_SV_P Dispatch for HIFDE_SV with F.SYMM = 'P'.
function X = hifde_sv_p(F,X)
% initialize
n = F.lvp(end);
% upward sweep
for i = 1:n
sk = F.factors(i).sk;
rd = F.factors(i).rd;
T = F.factors(i).T;
if ~isempty(T), X(rd,:) = X(rd,:) - T'*X(sk,:); end
X(rd,:) = F.factors(i).L\X(rd,:)... |
a4a9e0fd58521ff75c4a9a4ef81ebd0c2c4d3d07fe526583307d397ca8e04131 | MATLAB | 641 | 19 | function userDir = getuserdir
%GETUSERDIR return the user home directory.
% USERDIR = GETUSERDIR returns the user home directory using the registry
% on windows systems and using Java on non windows systems as a string
%
% Example:
% getuserdir() returns on windows
% C:\Documents and Settings\MyN... |
b9079b535e4a2f7afa37b74daa7d20eadf8588cca18f1aced84c8323d687c816 | MATLAB | 641 | 23 | function V = VBA_getVar(Sigma,T)
% gets the time-dependent variances
% function V = VBA_getVar(Sigma,T)
% This function gets the (possibly time-dependent) variance stored in a
% cell array of covariance matrices.
% IN:
% - Sigma: the cell array of covariance matrices
% - T: the index of the end of the time series
%... |
eed76cb05a430f1ade3b0d21a2b022da2be3ee5ee3118802f0d13399f15c841d | MATLAB | 641 | 31 | function [ accept data ] = get_accept(data,accept)
% <*LAN)<]
% v.0.0.1
%
% 22.06.2012
% Pablo Billeke
if nargin==1
% get_accept(LAN)
accept = data.accept;
data = data.data;
end
% fix accept vector
if any(accept>1)
paso = false(1,length(data));
paso(accept);
... |
60d67d6218ed1d1bcf0370f5651a99ca5a6e662298d368afac9f105e44dba001 | MATLAB | 642 | 23 | function [pID,pN] = FDR(p,q)
% FORMAT [pID,pN] = FDR(p,q)
%
% p - vector of p-values
% q - False Discovery Rate level
%
% pID - p-value threshold based on independence or positive dependence
% pN - Nonparametric p-value threshold
%______________________________________________________________________________
% $I... |
a05c5c9efc7511689ac966195aa77b726638d5cd0380fd18e791850a7e65d375 | MATLAB | 642 | 48 | %%% Replay the set of solution vectors:
if ~exist('param_list'),
if ~exist('solution');
fprintf(1,'Error: Need to calibrate first\n');
return;
else
param_list = solution;
end;
end;
N_iter = size(param_list,2);
if N_iter == 1,
fprintf(1,'Warning: There is a unique state in the list of ... |
edb58d2bf32fb4ccb7afef88e1ae0f9baaa2d4a9bc6048c48b057bef6ef832b0 | MATLAB | 642 | 29 | function [dprime, criterion] = rd_dprimeWeighted(nh,nfa,nsignal,nnoise,faWeight)
% [dprime, criterion] = rd_dprimeWeighted(nh,nfa,nsignal,nnoise)
%
% nh = number of hit trials
% nfa = number of false alarm trials
% nsignal = number of signal trials
% nnoise = number of noise trials
% inputs
if nargin<5
faWeight =... |
2305e3cf17452d9648c7ae3bbcb34913eb1b15688d5b7d66925716d41a3a3de7 | MATLAB | 643 | 26 | function [gx] = g_discounting(x,P,u,in)
% delay discounting 2AFC observation function
t = u(in.ind.t);
R = u(in.ind.R);
switch in.model
case 'hyperbolic'
k = exp(P(in.ind.logk));
v = R./(1+k.*t);
case 'exponential'
k = exp(P(in.ind.logk));
v = R.*exp(-k.*t);
case 'linear'
... |
bc5a1145dca0a7d0703beec84b61b28f859e97895574bebc11978787115830b6 | MATLAB | 643 | 21 | function [ clean_brain ] = cleanSmallClusters( brain, minimal_cluster_size, cluster_numbers )
%the function receives a binary brain and removes too little clusters. use
%cluster_numbers to mark each cluster with an integer (instead of a binary
%mask
if nargin<3
cluster_numbers = 0;
end
CC = bwconncomp(brain,18);
... |
dffdfa442702ec47cd97634676020c7edd292a0045fb445415d8630d851f0ea1 | MATLAB | 643 | 27 | function [postMean, postCov] = ppcaInfer(X, W, mu, sigma2, evals, evecs)
% Probabilistic PCA - compute posterior on Z
% postMean(i,:) = E[Z|X(i,:)]
% postCov(:,:) is the same for all i
% This file is from pmtk3.googlecode.com
warning('ppcaInfer is deprecated; use ppcaInferLatent')
[d K] = size(W);
[N d] = size(X);
L... |
04a7b3b60695aefebea3b68c023c561e02e32d73db5e1c3c3a75a147f675e20a | MATLAB | 644 | 34 | function S = uniformSample(arg1, arg2, arg3)
% Sample n uniformly distributed random numbers in the range [a, b].
% (Note, n can also be a size vector as in sampleUniform(model, [3,2]),
% yielding a 3x2 matrix of numbers.
% S = sampleUniform(model, n); OR S = sampleUniform(a, b, n);
% This file is from pmtk3.googleco... |
1c73c10d0e4f67b557bfad523c9c23eaa73f4e985567d1f83fc0aff1bfb996ff | MATLAB | 644 | 19 | function [ISD,integration,segregation,ML_efficiency,ML_clustering] = ISD_calculation(FC_noGSR, FC_GSR)
% calculate multilevel efficiency and clustering at different thresholds
ML_efficiency = nan(1,100);
ML_clustering = nan(1,100);
for threshold = 1:100
[~,ML_efficiency(threshold)] = charpath(distance_bin(FC... |
3d95e661c2c1d142b8ae6188d688e7f33dc57e4641f4c2411eaa570a6f7a99e1 | MATLAB | 644 | 31 | function convertResultsToTrx(infile,frontout,sideout)
%%
Q = load(infile);
%%
ts = now;
Jf = struct;
nd = size(Q.pfrontbest,1);
npts = size(Q.pfrontbest,2);
nfrms = size(Q.pfrontbest,3);
Jf.pTrk = permute(Q.pfrontbest_re,[2 1 3 4]);
Jf.pTrkTS = repmat(ts,[npts,nfrms,1]);
Jf.pTrkTag = cell([npts,nfrms,1]);
Jf.pSampl... |
a0c1c1eefee438fdddb094103397c1d6fdac5f9bc66d6cbf6aedebdef3c7c46f | MATLAB | 644 | 31 | %% boxplot of the Michelson-Morley data
% Based on http://en.wikipedia.org/wiki/File:Michelsonmorley-boxplot.svg
% PMTKneedsStatsToolbox boxplot
%%
% This file is from pmtk3.googlecode.com
requireStatsToolbox
loadData('morley');
for notched = [false true]
%notched = true;
figure;
if(notched)
boxplot(Speed, Expt, '... |
abca520e91f9266da0f74bb15dcb047f14f8170d9d91e7350e0c85c82a56f3c4 | MATLAB | 644 | 27 | function [lblDate,lblCat,frms,fly] = findMovDateCat(movID,lblDate,lblCat,frms,fly)
movID = unique(movID);
assert(isscalar(movID));
movID = movID{1};
fly = unique(fly);
assert(isscalar(fly));
lblDate = cellstr(lblDate);
lblDate = unique(lblDate);
ndate = numel(lblDate);
if ndate>1
fprintf('movID %s, %d dates: %s. c... |
d27c71bd2ed36de37710727b077e046520a96e350fdd7ba69d295937e4b63c6f | MATLAB | 644 | 23 | function H = hdiFromSamples(samples, mass)
% Compute 1 highest density interval from bag of samples
% Based on p628 "Doing Bayesian Data Analysis" Kruschke 2010
% Example: 95% HDI for beta(3,9) is [0.045, 0.49]
% setSeed(0); a= 3; b = 9; hdiFromSamples(betarnd(a,b,1,10000));
% See also hdiFromIcdf
if nargin < 2, mass ... |
888518fb68cbaf417c9a3c0011396bff9b92ba161be4bc3acad4b349880ebee5 | MATLAB | 645 | 30 | function m = getenvall()
% Return a containers.Map of all environment variables and their values.
%
% Based on
% https://stackoverflow.com/questions/20004955/list-all-environment-variables-in-matlab
if ispc()
cmd = 'set';
else
cmd = 'env';
end
[~,out] = system(cmd);
vars = regexp(strtrim(out), '^(.*)=(.*)$', ...
... |
aa429f706aee50e538262ca01f3b51d995de08f5de8136ec1930f107e1039758 | MATLAB | 645 | 28 | function cols = getcols(labs)
% _
% Get DELCODE plotting colors
% get number of labels
num_labs = numel(labs);
cols = zeros(num_labs,3);
% determine RGB triplets
for i = 1:num_labs
switch labs{i}
case 'young'
cols(i,:) = [ 0, 176, 80];
case 'older'
cols(i,:) = [ 0, ... |
c627e5ccfa9c283b0afbdd396cccec14223cd601ac7f11b7f5102bb2c3dd4099 | MATLAB | 645 | 22 | % TRI3GEOM Centroid, unit normal, and area of a triangle in 3D.
%
% [C,N,A] = TRI3GEOM(V) produces the centroid C, unit normal N, and area A
% of the triangle with vertices V.
%
% [C,N,A] = TRI3GEOM(V,F) computes the centroid, normal, and area of each
% triangle I with vertices V(:,F(:,I)).
function [C,N,... |
c8fe71861b96ce9b8ac61546fcaa7224ccfad11d7b9b0551b9ea7cd3c8667737 | MATLAB | 645 | 12 | function nc_spm_coreg_subject(coreg_matfile, t1_file, other_files, interp, prefix)
% interp: 0 for nearest neighbor; 4 for 4-order B-spline
SPMJOB = load(coreg_matfile);
SPMJOB.matlabbatch{1, 1}.spm.spatial.coreg.estwrite.ref={t1_file};
SPMJOB.matlabbatch{1, 1}.spm.spatial.coreg.estwrite.source=other_files(1,:);
i... |
f5abad186efe82af03fb121b72a7e34762c1f62cd91e643daf86c14381d49ce0 | MATLAB | 645 | 31 | function [lo,hi]= findcontiguous(x, order)
%function [lo,hi]= findcontiguous(x, order)
%
% Find the beginnings (lo) and ends (hi) of contiguous values in x.
% E.g. x= [1 2 5 6 7 8 10] results in
% lo= [1 5 10]
% hi= [2 8 10]
lo= []; hi=[];
if ~isempty(x);
if nargin<2; order= 1; end
if ~any(siz... |
faa242418fffd83cd1043a53efa75713216800f0ba2c940a870a31d9e42e82aa | MATLAB | 645 | 18 | function R = gui_q(text,del)
if nargin==1; del = {''};end;
R = {};
% text = 'prueba'; del=''
if ischar(text); text = {text}; del={del};end;
%global H
H = figure('Position',[300,300,300,100],'Menu','none');
for e = 1:length(text)
uicontrol(H,'Style','Text','String',text{e},'Position',[10... |
2cc894d91284a311e8829d1fa8c84e5f712c7d99cfdca78e516e1597eea75235 | MATLAB | 646 | 22 | function [fx,dfdx,dfdP] = logExp(x,P)
% approximates the mappings y=a at x=-Inf and y=b(x-c) at x=Inf
% [fx,dfdx,dfdP] = logExp(x,P)
% IN:
% - x: the variable to be passed through the logExp mapping
% - P: parameters of the logExp mapping (P = [a b c])
% OUT:
% - fx: the logExp mapping
% - dfdx: the gradient w... |
473e074a09ab134945cb6dec4ba4ed6e211d6ef9d2f7cc73a6d6672f15a5a7b8 | MATLAB | 646 | 22 | function [rotMat] = EPG_Operator(alpha,phi,E1,E2,LongitudinalState)
%%
%Define components
TtoT=E2.*(cosd(alpha/2)^2);
T180toT180=E2.*(cosd(alpha/2)^2);
LtoL=E1.*cosd(alpha);
T180toT=exp(1i*2*phi)*E2.*(sind(alpha/2)^2);
LtoT=-1i*exp(1i*phi).*E2.*sind(alpha);
TtoT180=exp(-1i*2*phi)*E2.*(sind(alpha/2)^2);
LtoT180=1i*exp(-... |
ac084b14bea5772f3f0e5ad006edcf8e21eb0a39273e6c222a30e03d66a3b792 | MATLAB | 646 | 28 | %% HMM Self Loop
%
%%
% This file is from pmtk3.googlecode.com
Ls = 1:10:600;%1:10:1000;
ns = [1, 2, 5]; %1:5;
p = 0.99;
figure; hold on;
[styles, colors, symbols] = plotColors;
logp = log(p); logq = log(1-p);
legendstr = cell(length(ns), 1);
h = zeros(length(ns), 1);
for i=1:length(ns)
n = ns(i);
ps = zeros... |
0a8db5abd70f2cd8502ab491f5f11bc908a554ed437ea0f3447c91e69af5498d | MATLAB | 647 | 29 | % measures SNR in all folders in the current directory
%
function data = measure(look_here, UseCache)
if nargin == 0
look_here = pwd;
UseCache = true;
elseif nargin == 1
UseCache = true;
end
all_folders = filelib.getAllFolders(look_here);
for i = length(all_folders):-1:1
data(i).file_name = categorical(NaN(10... |
3230d17409296306b88b1816d6b05f3bf7f88c25504f55e5bd4a16201ea0b4b0 | MATLAB | 647 | 25 | function [pX] = treegmPredictMissing(model, X)
% X(n,d) may be Nan
% pX(n,d,v) is predictive distribution for node d in case n
[N,D] = size(X);
[~, X3d] = dummyEncoding(X, model.Nstates*ones(1,model.Nnodes));
% X3d(n,d,v)
for n=1:N
softev = squeeze(X3d(n,:,:))'; % softev(v,d)
miss = isnan(X(n,:));
% replace h... |
3f96d35d4a4897d47d8f7ee4d1a17702f41be9f8af830f17ea4100c45cefb318 | MATLAB | 647 | 46 | function mychmod(varargin)
if nargin < 1,
d = '.';
else
d = varargin{1};
end
if nargin < 2,
args = {'g+rw'};
else
args = varargin(2:end);
end
if ~exist(d,'file'),
error('File/directory %s does not exist',d);
end
mychmod1(d,args);
function mychmod1(d,args)
try
cmd = ['chmod ',sprintf('%s ',args{:}),'... |
4d40365fa198a22d4556c85af579d66fe5cbc5cb28db26d4b1b56f42201aa441 | MATLAB | 647 | 26 | function y=temp_variance(data,frame,overlap,type)
%Computes the temporal variance of signal using moving window.
%Written by Su Liu
if nargin<4
type=1;
end
if isscalar(frame)
winlength = frame;
window = ones(winlength,1);
elseif isvector(frame)
window = frame;
winlength = length(frame);
end
lx=len... |
5815a2319254552474f3f0c8d10259e21e013ab8393a0172db167fafd6c45fee | MATLAB | 647 | 27 | function fprintf_cell(fid, cell,format )
% Easy loop for write a file
%
%
%
%---% parameter
if nargin < 3
% for dfault each cell is a line
format = ' %s \n ';
end
%---% loop
for i = 1:length(cell)
fprintf(fid,format, cell{i} );
end
%fprintf(fid,' %s \n ',['ccc = 0'] );
%fprintf(fid,' %s \n ',[... |
06df49f65176fa5e49e90f4863fd237ae36cb37ff5b134f57fe6e88b3eebb038 | MATLAB | 648 | 26 | function net = clfSvm(varargin)
% Wrapper for svm that makes svm compatible with nfoldxval.
%
% Requires the SVM toolbox by Anton Schwaighofer.
%
% USAGE
% net = clfSvm(varargin)
%
% INPUTS
% see svm in SVM toolbox by Anton Schwaighofer.
%
% OUTPUTS
% see svm in SVM toolbox by Anton Schwaighofer.
%
% EXAMPLE
%
% See... |
2804fde8b2f57c53f74c73d98c770ec756ac32b565bc271d99416bfcca2229ce | MATLAB | 648 | 29 | function [Sx,dsdx,dsdp] = g_sigm_binomial(x,Phi,u,in)
% evaluates the sigmoid function for binomial data analysis
try
in.x;
catch
in.x = 0;
end
if in.x % for learning effects (sigmoid parameters evolve over time)
[Sx, ~, dsdx] = VBA_sigmoid(u, ...
'slope', exp(x(1)), ...
'center', x(2), ..... |
3e9c6f5696e5c18f8e5f5744b3af42c02ced06cbcc53accbdd356373b6d196e8 | MATLAB | 648 | 39 | function [dABdA,dABdB] = dAB(A,B);
% [dABdA,dABdB] = dAB(A,B);
%
% returns : dABdA and dABdB
[p,n] = size(A); [n2,q] = size(B);
if n2 ~= n,
error(' A and B must have equal inner dimensions');
end;
if issparse(A) | issparse(B) | p*q*p*n>625 ,
dABdA=spalloc(p*q,p*n,p*q*n);
else
dABdA=zeros(p*q,p*n);... |
413ec40e89eb1d4c295abfb300626305bf08aa77dcea0c969c0e1d707b5679ce | MATLAB | 648 | 18 | function dataSets = scrapePmtkData()
%% Scrape pmtkData.googleCode.com to get the names of all the data sets there
% This file is from pmtk3.googlecode.com
excludedDirs = tokenize(getConfigValue('PMTKmetaDirs'), ',')';
url = 'http://pmtkdata.googlecode.com/svn/trunk/';
raw = tokenize(urlread(url), '\n');
dataSets =... |
53a60a01ee95f8544f8ee2565b5aeb0f4fae37c118b2763b8f7d9e97ff69348c | MATLAB | 648 | 35 | function varargout = fname(varargin)
% Format
% For getting the value
% dat = fname(obj)
%
% For setting the value
% obj = fname(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id$
if nargin==2,
varargout{1} = as... |
7e059dfd97c17492ecf5c6531f648c2d0c934cf3d64ee99ea369767b62de4b80 | MATLAB | 648 | 23 | function beta = elasticNet(X, y, lambda1, lambda2, lassoSolver, varargin)
% elastic net is L1 + L2 regularized least squares regression
% We assume X is standardized and y is centered
% lassoSolver must have this interface:
% w = lassoSolver(X, y, lambda1, varargin{:})
% See also elasticNetPath
% This file is from ... |
db96df93c667dfbf6b6ee4e249cd1b852c03a4754930420d8d37c1125af6ee43 | MATLAB | 648 | 28 | function [c1, c2, c3, n_channels] = load_detect_chanells(tif_name)
% 1. Detect a number of channels
% 2. TODO: Detect the cell and nucleus channels
c3 = 0;
% ------------------------------- Read from tif -------------------------------
n_channels = detect_number_of_channels(tif_name);
tif_matrix = loadtiff(['... |
e1c48abdd01c531bee431c9676ea4d9f4481958456319091f08d3f69fb665261 | MATLAB | 648 | 31 | % [x1,x2,y1,y2] = ellipse_to_bounding_box(x,y,a,b,theta)
function [x1,x2,y1,y2] = ellipse_to_bounding_box(x,y,a,b,theta)
if abs(cos(theta)) < eps,
x1 = x-b;
x2 = x+b;
y1 = y-a;
y2 = y+a;
elseif abs(cos(theta)) > 1 - eps,
x1 = x-a;
x2 = x+a;
y1 = y-b;
y2 = y+b;
else
phix = ... |
fb7c4c877c1afa43c1a908055902220dfeb13d907b520aff6503293cd4b0cd3b | MATLAB | 648 | 30 | function [matrix_final_0,p]=delete_matrix(matrix) % transform a(i,j)=a(j,i)
matrix=matrix-diag(diag(matrix));
matrix=trans(matrix);
matrix=triu(matrix);
p=[];
for i=1:size(matrix,2)
if sum(matrix(i,:))~=0 || sum(matrix(:,i))~=0
p=[p;i];
end
end
matrix_... |
0080031f5bfe770ae288dcd89d53144b420f8067f441fd952f020c8d2329df3b | MATLAB | 649 | 15 | function populate_callbacks_bang(control, controller)
% Populate the Callback property for a single control, setting it to call the
% generic controlActuated(tag, source, event) method on the supplied
% % controller. But only do this if the Callback property is empty---don't
% overwrite existing callbacks. Do the sam... |
1f636384ee2eb05d3e598f752d57e9664ed5b62ce4b6d325192b5405d8bbea23 | MATLAB | 649 | 18 | function C = VBA_spm_mesh_curvature(M)
% Compute a crude approximation of the curvature of a surface mesh
% FORMAT C = spm_mesh_curvature(M)
% M - a patch structure
%
% C - curvature vector
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Cent... |
24c7da5633fa8a22a893ebf8c8ebe03ebacd871bcc79c82a51c21b0ea8f7642c | MATLAB | 649 | 25 | function previewPublished(fname, evalCode, outputDir)
%% Preview what the published result of the demo will look like
%
% If evalCode is set to false, (default true), the demo is not run and only
% text is published.
%% Example
% publishPreview mixGaussVbDemoFaithful
% PMTKneedsMatlab
% This file is from pmtk3.googl... |
9718148cc38e34bd9b8605f88f41abe526bbef31c89a42dae0608b4556c135fa | MATLAB | 649 | 18 | function ctranspose(x)
%CTRANSPOSE is not defined for tensors.
%
% See also TENSOR/PERMUTE.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
% Copyright (2015) Sandia Corporation. Unde... |
da3ce7e5485cbc5e81dce75273fa00ad6eea7042c84fb1b1bf7650e49075c1a1 | MATLAB | 649 | 31 | function [theta] = get2VecAngle(v,u,n,plotFig)
% get2VecAngle Find the angle between 2 vectors
%
% Inputs:
% v: vector 1
% u: vector 2
% n: vector normal to plane that vector 1 and 2 resides in
% Outputs:
% theta: angle in degrees between bectors 1 and 2
if isempty(n)
theta = acosd(dot(v,u)./(norm(v... |
e2c57628a1443acfc6f9d77566c46c13ae9676689cf21651c5d074aff79e06c5 | MATLAB | 649 | 24 | function [Max_Out, Min_Out, Median_Out]=Max_Min_Median(InputData)
InputData(InputData==Inf)=NaN;
InputData_Clean=[];
if size(InputData,1)>size(InputData,2)
for i=1:size(InputData,1)
if ~isnan(InputData(i,1))
InputData_Clean=[InputData_Clean,InputDa... |
ed4433686045837c43594f7ff2dacb7dc4b9ff73777c29eef7a0990b6cca2317 | MATLAB | 649 | 20 | function stderror = HumanOdorRep_std_error(X)
% function stderror = HumanOdorRep_std_error(X)
% calcualte standard error for given data
%-----------------------------------------------------------------------------------------
% Kehl et al. 2024 (DOI:XX)
% Single-Neuron Representations of Odors in the Human Brain
% Aut... |
7932d8d1761106f0da381e85aa4fa54ba2d5e156aa571178fa9235fc971909e7 | MATLAB | 650 | 22 |
% _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% this is a plugin for crabsort.m
% reduces spikes to a amplitude, measured from the minimum to p... |
fff78247f57b21387976749e98afda679aa7baf9ca6e1ea45a74aadb68c9612d | MATLAB | 650 | 34 | function X = laplaceSample(arg1, arg2, arg3)
% X(1:n, j) ~ laplace(mu(j), b(j))
% X = laplaceSample(model, n); OR X = laplaceSample(mu, b, n);
% See http://en.wikipedia.org/wiki/Laplace_distribution
% This file is from pmtk3.googlecode.com
if isstruct(arg1)
model = arg1;
mu = model.mu;
b = model.b... |
31fac3491aab1dfa6cb19ed4219eb0eaea7a13292a06be16a52f24046102c808 | MATLAB | 651 | 27 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef ChannelID < handle
%ChannelID Representation of ChannelID class in AxIS
%
% Artichoke: Numerical amplifier number (e.g., 0-11)
%
% Channel: Numerical channel number (e.g... |
4b739d58fc995258afd690ca0d986affdf10e9a0c4877ea04c2747cf40949501 | MATLAB | 651 | 25 | function [A, z] = normalize(A, dim)
% Make the entries of a (multidimensional) array sum to 1
% [A, z] = normalize(A) normalize the whole array, where z is the normalizing constant
% [A, z] = normalize(A, dim)
% If dim is specified, we normalize the specified dimension only.
% dim=1 means each column sums to one
% dim=... |
cd1d0a04adace93fe59a00a1e75a99a34dcbbf8d9d610d1f742e08ba549d06db | MATLAB | 651 | 25 | function [p,t,pix]=fixmesh(p,t,ptol)
%FIXMESH Remove duplicated/unused nodes and fix element orientation.
% [P,T]=FIXMESH(P,T)
% Copyright (C) 2004-2012 Per-Olof Persson. (See DISTMESH)
if nargin<3, ptol=1024*eps; end
if nargin>=2 & (isempty(p) | isempty(t)), pix=1:size(p,1); return; end
snap=max(max(p,[],1)-min... |
0cececcbf628c5d5334addfb62f978c81d03b772da0de1229e87c9211d41f091 | MATLAB | 652 | 28 | function out = slices2mosaic(mat,fillValue)
if nargin < 2
fillValue = 0; % Default to filling with zeros
end
x=size(mat,1);
y=size(mat,2);
z=size(mat,3);
%t = size(mat,4);
% find the side length of the mosaic image (number of images)
m_side = ceil(sqrt(z));
% create... |
29b39204b421396d93bc8fa1d992038f9a7027f25d5adb76f59f7448ebb2ee58 | MATLAB | 652 | 22 | function out = averageLocalStrain_2D_qst(X,epsilon)
% averages the strain field epsilon by averaging the epsilon tensor
% values over the nearest neighbours of the off particle
NNacceptance = 2; %8 2.3 second minima of g(r)
NNsq = NNacceptance * NNacceptance;
N = size(X,1);
averagestrain = zeros(N,1);
for n0 = 1:N
... |
3dc1547a2712ec73106ef3c2a40e3869fc9f54a4b8759140494750a2a27f641a | MATLAB | 652 | 30 | function yred=rednoise(N,g,a);
% REDNOISE: A fast rednoise generator using filter.
%
% example: rednoise(N,g);
%
% Description: generates a rednoise series
% with zero process mean.
% note: statistical mean&variance will be different.
%
% Inputs: n - desired length of time series
% g - lag-1 autocorrelation
% ... |
c783a2ee2e66182007b26a13774fb17b7800be754380c8a1ab6c615b12e2dfcb | MATLAB | 652 | 9 | function [t_food_mat,t_food_err_mat,L_mat,trials_mat] = get_tfood_plot_matrices(si_exp,L_values,trial_values)
get_t_food = @(si) reshape(arrayfun(@(a)mean([a.trial(:).t_food]),si.learning_stage),[],1);
get_t_food_err = @(si) reshape(arrayfun(@(a)func.stderr(double([a.trial(:).t_food])),si.learning_stage),[]... |
2da8f6bcef96750a6e1b7500c720ded631d9484f9f4f23cc187f7ace4711e967 | MATLAB | 653 | 17 | % SPGET Sparse matrix access.
%
% S = SPGET(A,I,J) returns S = FULL(A(I,J)).
%
% This function exists because computing A(I,J) appears to be quite slow in
% some versions of MATLAB, requiring O(N) time, where N = SIZE(A,2), say (we
% have only tested square matrices), even when A has only a constant number... |
77dd65bf34a6d7530847983aeba7063ece9f5181fc5c3c71bd336b03a81d79cf | MATLAB | 653 | 20 | function [Gamma,Gamma1,Gamma2,Gamma3,rho] = get_Gamma(rho0,u,r,nt,dt,par)
% Created by Xinan Chen
% This function is to calculate the cost functional Gamma under given velocity
% field u, relative source function r and its indicator function K if K is used.
% Gamma(u,r) = Gamma1 + alpha*Gamma2 + beta*Gamma3
% Ga... |
7a2a7b60eb6a43b041999fd6ec502023442c36ff9b7c8bbe9e59a9629faa833f | MATLAB | 653 | 29 | function value = line_exp_is_degenerate_nd ( ndim, p1, p2 )
%% LINE_EXP_IS_DEGENERATE_ND finds if an explicit line is degenerate in ND.
%
% Discussion:
%
% The explicit form of a line in ND is:
%
% the line through the points P1, P2.
%
% An explicit line is degenerate if the two defining points a... |
a35a0803a74ea69d515d856036b8a2fd40ca50c5a842cef71b26676afb601656 | MATLAB | 653 | 24 | function [NNidx,Tidx,TNidx]=IM2idx(IM)
%
% This function provides indexing into module pairs for fast reference based
% on the IM structure of a grouped network.
Nroi=length(IM.key);
Nnets=max(IM.key(:,2));
Tidx=find(tril(ones(Nroi),-1)==1);
TNidx=find(tril(ones(Nnets),0)==1);% Lower triangle w main diag for... |
ac766239a278266c4ab467f66df3b5cc8b86821e6e0a00bd4877dbc7fe53f689 | MATLAB | 653 | 28 | function [model, logev] = linregFitBayesJeffreysPrior(X, y, pp)
% Bayesian inference for a linear regression model with uninformative prior
% This file is from pmtk3.googlecode.com
[model.preproc, X] = preprocessorApplyToTrain(pp, X);
[N,D] = size(X);
% Posterior on w
%[model.wN, model.VN] = normalEqnsBayes(X, y,... |
df289e7afe9a82eda5f5bf6f376717b9904e2ec448c731af18f290d61fb12e2e | MATLAB | 653 | 34 | %{
_ _
___ _ __ __ _| |__ ___ ___ _ __| |_
/ __| '__/ _` | '_ \/ __|/ _ \| '__| __|
| (__| | | (_| | |_) \__ \ (_) | | | |_
\___|_| \__,_|_.__/|___/\___/|_| \__|
# getFileSequence
**Syntax**
```
C.getFileSequence()
```
**... |
1e9b1f15f51c503b63a2a11115076e62045dc54c806128ecc328ba93aa3c568f | MATLAB | 654 | 17 | function [icat,cats] = shmovieCat(m)
tf = [...
~isempty(regexp(m,'pre2016_trainingData_kineFormat_blindToErrors','once')) ...
~isempty(regexp(m,'2016_trainingData_blindToErrors','once')) ...
~isempty(regexp(m,'18012017_trainingData_errorTargetted','once')) ...
~isempty(regexp(m,'Nov201... |
22127d71c3e63c5d20f4029d4fa5f5f1a7506d31493af3cb626d2e2139b4c346 | MATLAB | 654 | 32 | function [ npoints ] = chosePointsForPatlak( tissue,Cp,Cpint )
if ~any(tissue)
npoints=8;
disp(' !!! WRN: NO TACs found in IDWC FILE!!!')
disp(' !!! WRN: PATLAK SETS as DEFAULT [8 samples]');
else
X=Cpint./Cp;
Y=tissue./Cp;
[m,i]=max(Cp);
figure
plot(X(end-10:end),Y(end-10:end),'*');
hold o... |
295cdf6a74eeca38c974026b4db947108ed3e9c7124826d18fd32de3463b7c6e | MATLAB | 654 | 32 | function S = poissonSample(arg1, arg2)
%% Sample n integers from a poisson distribution with parameter lambda
%S = poissonSample(model, n); OR S = poissonSample(lambda, n);
% This file is from pmtk3.googlecode.com
if isstruct(arg1)
model = arg1;
lambda = model.lambda;
else
lambda = arg1;
end
if nargin <... |
42e189081f4c310c206c0d922139eb341ed03d7017d33129aaf25dab26f7b9e3 | MATLAB | 654 | 18 | function transpose(x)
%TRANSPOSE is not defined on tensors.
%
% See also TENSOR, TENSOR/PERMUTE.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
% Copyright (2015) Sandia Corporation.... |
893f4b7db887c737af6d47e3d36b4e65e02a413183fca5c361b27108500bbc60 | MATLAB | 654 | 36 | function XYZmm = voxel2mm(XYZ,m)
% :Usage:
% ::
%
% function XYZmm = voxel2mm(XYZ,m)
%
% :Inputs:
%
% **XYZ:**
% is 3 vector point list (3 rows, n columns)
%
% **m:**
% is SPM mat - 4 x 4 affine transform
% (what's stored in the .mat file)
%
% :Example:
% ::
%
% XYZmm = voxel2mm([x y z]'... |
bed03e9fc6bb7d5dbff74ca7b1bf9f197d578652f9908f5db65bafc1c763e03a | MATLAB | 654 | 27 | function [HC,EHC,gridx] = RFT_Euler(X,verbose)
% derive induced Euler-characteristic
mi = min(X);
ma = max(X);
dm = (ma-mi).*1e-2;
gridx = mi:dm:ma;
[out0] = RFT_expectedTopo(gridx,L,fwhm,1);
EHC = out0.HC;
HC = NaN(length(gridx),1);
if verbose
fprintf(1,'RFT: deriving Euler-Hadwiger characteristic ...')
fprint... |
eb8c741a0c7c1104c97aea026f1d307e3a12e9eb580c184dd59b067de835c4c7 | MATLAB | 654 | 28 | %% Illustration of the concavity of the log function
%
%%
% This file is from pmtk3.googlecode.com
figure('Color',[1,1,1]);
xmin = -1;xmax = 7;
ymin = -2;ymax = 3;
%axes
axesLineSpec = {'-k','LineWidth',3};
plot([xmin,xmax],[0,0],axesLineSpec{:});hold on;
plot([0,0],[ymin,ymax],axesLineSpec{:});
domain = 0.01:0.00... |
f431135b55281f3642b0fb1354058249d1930f8f827776fb16e87d6a753a3e7f | MATLAB | 654 | 25 | function y = meanfilter(x,r,dir)
if ~exist('dir','var'),
if size(x,1) == 1 && size(x,2) > size(x,1),
dir = 2;
else
dir = 1;
end
end
sz = size(x);
notdir = true(1,length(sz)); notdir(dir) = false;
notdiridx = find(notdir);
x = permute(x,[dir,notdiridx]);
m = prod(sz(notdir));
x = reshape(x,[sz(dir),m]... |
f588f4c681b858f083c3db2f3d1e9a79b901d4ff67586555e1ca6145e2483f60 | MATLAB | 654 | 16 | function ep = find_evaluation_points( r, evaluation_angle, tol )
% *SPONTANEOUS WAVE DEMO*
%
% FIND EVALUATION POINTS find points at which the phase distribution
% over channels passes a specified angle
% (within numerical tolerance "tol")
%
% INPUT
% r - ph... |
32b1fa4cc49a97c51aa5535c8b9bf2f1f0afc2289184a8492d2ff35d5caf2974 | MATLAB | 655 | 27 | function models = makeModelSpace(varargin)
% Return a cell array of every combination of the inputs
% Pass in one argument per dimension. Returns a cell array of every
% combination of values.
%
% Example:
%
% lambdaRange = logspace(0, 100, 10);
% sigmaRange = linspace(0, 10, 10);
%
% allCombinations = makeModelSpace(... |
5418fb3113010527e1c03e2893ef4000400e1679684bafc9a37082e03b11731f | MATLAB | 655 | 15 | function setup = StateSwitch_settingsStroop(setup)
% settings for Stroop
setup.DEBUG = 0;
setup.opacity = .4;
setup.keyB = 1; % number of available keyboards
setup.ET.useET = 0;
setup.EEG.useEEG = 1;
... |
70cec55b748864ae8266826c6faeefecaf90b39e503b6bf2f8bfb7ed0846073c | MATLAB | 655 | 22 | % HIFIE_MV Multiply using hierarchical interpolative factorization for integral
% equations.
%
% Typical complexity: quasilinear in all dimensions.
%
% Y = HIFIE_MV(F,X) produces the matrix Y by applying the factored matrix F
% to the matrix X.
%
% Y = HIFIE_MV(F,X,TRANS) computes Y = F*X if TRAN... |
e6e45e28306ef0eb889c692eafe4e04c765ceda2b4d04e815559db8b14ab0b1f | MATLAB | 655 | 31 | function UpdateInterpColorLine(h,varargin)
[x,y,z,colors,alphas] = myparse(varargin,'x','','y','','z','','colors','','alphas','');
args = {};
if ~ischar(x),
x = x(:);
x = [x;flipud(x)];
args(end+1:end+2) = {'XData',x};
end
if ~ischar(y),
y = y(:);
y = [y;flipud(y)];
args(end+1:end+2) = {'YData',y};
end
if... |
0ffc6a764e2366571cd91ad270468a6421e8521f85c429bfcf0371201b1bc199 | MATLAB | 656 | 23 | function [corr_value, p_value]=spearman_median(spike_id, spike_times, sorted_place_fields)
c = 1;
cell_IDs = []; median_spikeTime = [];
for cell = 1 : length(sorted_place_fields)
index = find(spike_id == sorted_place_fields(cell));
if ~isempty(index)
cell_IDs(c) = cell;
median_spikeTime... |
40476c93c0ce344f8e19d31c8a7a0a65b3d4c1da839f4402f72a69f4f5236a94 | MATLAB | 656 | 27 | function lead=calc_leadcorr_major_global(x,ori,para_global,shell);
% calculates the corrections to the lead field coming from
% a set of centers, for given type (type=1: singular at infinity,
% type=3: singular at origin, type=2; both
leadall=[];
para_exp=para_global{shell}.para;
[ndum,ncenter]=size(para_exp);
fo... |
91d465d7ae3d9e81bc134b9a3caab10776b899377b1e22fded9238391d88cffc | MATLAB | 656 | 35 | %% Make the sprinkler dgm
% Nodes are not ordered topogically!
%%
% This file is from pmtk3.googlecode.com
function [dgm, C, S, R, W] = mkSprinklerDgmOutOfOrder(varargin)
% C
% / \
% v v
% S R
% \/
% v
% W
%%
%C = 1; S = 2; R = 3; W = 4; % topological ordering
%C = 2; S = 1; R = 3; W = 4; % rnd order... |
99402568bd70ab43acbb92e0f645a9f6b73c0b9979fa8f1c69070b8e822fbafc | MATLAB | 656 | 21 | function P=ar1spectrum(ar1,period)
% AR1 power spectrum...
%
% power=ar1spectrum(ar1,period)
%
%
% (c) Aslak Grinsted 2002-2004
%
% -------------------------------------------------------------------------
% Copyright (C) 2002-2004, Aslak Grinsted
% This software may be used, copied, or redistributed as long as ... |
ab9853075ada9147cd28727b6166a98c4819874a16dfab7c53223298d9e6e22f | MATLAB | 656 | 21 | %% Look at individual tasks for the clusters
mkdir([DIRresultsRipple, '/tasks/']);
the_min = min(trials_aligned_avg_all,[],'all');
the_max = max(trials_aligned_avg_all,[],'all');
for i=1:num_groups
for q=1:length(task_data)
q
if(rand < 0.1)
figure('visible','off','position', [200, 200,... |
750bbc74c99df0d8f57f16a2419fa2da1f74a20f163d60b308ebac8785b06d99 | MATLAB | 657 | 25 | function model = linregRobustStudentFit(X, y, dof, sigma2)
%% Fit linear regression with Student noise model
% This file is from pmtk3.googlecode.com
if nargin < 3, dof = []; end
if nargin < 4, sigma2 = []; end
if dof==0, dof = []; end
if isempty(sigma2) && isempty(dof)
% estimate everything
model = linregRobu... |
868f4fbaa00e6b684024237b8af36ddf30b0e3379c374ed2c6ea948563b9e741 | MATLAB | 657 | 17 | function [frame,timestamp]=read_seq_frame(seqinfo,frame_num)
% read_seq_frame: function to read in a single frame from a seq file
%
% form: frame=read_seq_frame(fname_prefix,frame_num)
%
% fname is a string, the filename of the seq file to read a frame from
% e.g. b6_popcage_16_110405_09.58.30.268.seq.
%
% fra... |
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