sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
bb215a896fda4f04ae702eb68c65329b1cacef54544965d4dbdddf3bdfb57ffd | MATLAB | 786 | 33 | %
% Create autocorrelation plot
%
addpath /comp_neuro/Software/Github/CMBHOME_github/
use_carlsim = 1;
load filenames;
% small:
%191108_S1_lightVSdarkness_cells11and12.mat
%file_number=15;
% medium
%merged_sessions_ArchTChAT#22_cell1.mat
file_number=23;
% large
%GCaMP6fChAT10_gridCell_mergedSessions.mat
%file_number=1... |
bd15c0229cb83588d2be7d06adfba9e403fcbdf7661bdb27708e8416f3ad6bdf | MATLAB | 786 | 30 | % Cost function (using gpu)
%
% Cost function present in the Matlab Help for fminunc function
function [f,g] = costfunction_gpu(x)
% BROWNFG Nonlinear minimization test problem
%
% Evaluate the function
n = length(x);
y = parallel.gpu.GPUArray.zeros(n,1);
i = 1:(n-1);
y(i)=(x(i).^2).^(x(i+1).^2+1) + (x(i+1).^2).^(x... |
bb8146dcb051676b69cae4a874de24ab61e8cf1192819c8725bf9a034d62cf65 | MATLAB | 787 | 32 | function x = gsamp(mu, covar, nsamp)
%GSAMP Sample from a Gaussian distribution.
%
% Description
%
% X = GSAMP(MU, COVAR, NSAMP) generates a sample of size NSAMP from a
% D-dimensional Gaussian distribution. The Gaussian density has mean
% vector MU and covariance matrix COVAR, and the matrix X has NSAMP
% rows in whic... |
eed142a550c8ba150631b0fac2e4e7b88449b6c66dcd48daf1fbc83f9734b819 | MATLAB | 787 | 38 | function resultFlag = IsLinux(is64)
% resultFlag = IsLinux([is64=0])
%
% Returns true if the operating system is Linux.
% If optional 'is64' flag is set to one, returns
% true if the runtime is 64 bit and on Linux.
%
% See also: IsOSX, IsWin, OSName, computer
% HISTORY
% ??/??/?? ??? Wrote it.
% 6/30/06 awi Fixed h... |
50ca94469ea9d9c8a46465325fae650ecb51af9bfe9f04fc18e99096c4c1ea9d | MATLAB | 790 | 42 | function R = SelectAlongFirstDimension(IN, f)
% R = SelectAlongFirstDimension(IN,f)
%
% equivalent of IN(f) for 1D, IN(f,:) for 2D, IN(f,:,:) for 3D, etc...
%
% INPUTS:
% IN = any matrix input
% f = selection indices (such as returned by find)
%
% OUTPUTS:
% R = same type matrix as IN
%
% ADR 1998
% version... |
ca89cc3902eb3a94f45c2b32ee4c391fb50da76074dbd628498849849a75c45f | MATLAB | 790 | 20 | function [coeffs] = CalculateT2Map(T2raw_reordered_reshaped,tvalues)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
opts = optimoptions(@lsqcurvefit,'Algorithm','levenberg-marquardt');
tmax = max(tvalues);
fun = @(coeffs,tvalues)coeffs(1)*exp(-tvalues... |
4855b3d3a23552cda2152ec67edf265a90f331e4b2e4145ba2a133f5c7805dbe | MATLAB | 791 | 35 | % Compute the minimum description length
% In fNIRS case, we use symmetric extension.
% Signal content at border are unimportant, fortunately.
% X is design matrix.
% Y is fNIRS signal
function mdlScore = calcMDL4DWT(Y,X)
% other choice is 'per'
dwtmode('sym');
mdlScore = 1;
function ... |
9a6d57cb280d274f8e9f6b6fca148451a7201cde49b54a36185a56b2df19800d | MATLAB | 791 | 25 | function [isthere] = exist_group(subj,objtype,objname)
% Checks whether a group of that type and name exist
%
% [ISTHERE] = EXIST_GROUP(SUBJ,OBJTYPE,OBJNAME)
%
% Just calls find_group and checks whether it's empty
% License:
%=====================================================================
%
% This is part of th... |
e7fa350c7ae299e9e6a8e3341bc58304bb6b076239d1147b43cd304d55cb046b | MATLAB | 791 | 24 | function msBatchSelectROIs( dirName )
%MSBATCHSELECTROIS Summary of this function goes here
dataFolders = msBatchFindDataFolders(dirName,[]);
for folderNum = 1:length(dataFolders)
currentFolder = dataFolders{folderNum};
dirData = dir(currentFolder);
dirIndex = [dirData.isdir];
fil... |
5a086593769a2c6b8df0b91ac3e9d7a0ace578ec8c9189673d18d25a2fc157f5 | MATLAB | 793 | 20 | function A_out = applyCellfunskipEmpty(x_struct, var_field_name, sub_field_name, fn_x, ii_inds, jj_inds)
% Applies the function fn_x to contents of x_struct.(var_field_name).(sub_field_name)
% when x_struct.(var_field_name) is non-empty. fn_x must return a scalar
% value.
% ii_inds and jj_inds allows selecting certain... |
b4a99c7e55d3d388ce4d8355dab71eb4fd310406bfe73d654c6bec191d2b41c1 | MATLAB | 793 | 39 |
n = size(Y,2);
p = size(Y,1);
s = size(Lm,2);
psi2 = zeros(p); zeta = 0;
for tt = 1:s
kt = size(Lm{tt},2);
temp_alt = Xm{tt}.*repmat(Qns(:,tt)',kt,1);
temp = Xcov{tt}*sum(Qns(:,tt),1) + Xm{tt}*temp_alt';
if pcaflag == 0
psi2 = psi2 + (repmat(Qns(:,tt)',p,1).*Y) * (Y-2*Lm{tt}*Xm{tt})' ...
+ Lm{tt}*tem... |
1f5115ed106ac7747d2c129dc9ff41ea484f1f17876819161e5b7320cbfa6c66 | MATLAB | 794 | 35 | %% Plot V4 MI firing rates cued vs cue-opp (moving window plots locked to cue onset/offset)
%% Code
load('V4_FR.mat')
monkey = ["G","B","Combined"];
metric = "MI_FR";
trial_type = "all";
yl = [-0.02,0.06];
close all
cueMI = eval(sprintf("cue%s",metric));
oppMI = eval(sprintf("opp%s",metric));
sum_metric = "mean";
... |
6bdcdc4dc1cc3afa9c4db91fbe9ff00de4f47a218ea06245f6487e3b397a5a14 | MATLAB | 794 | 39 | function A = subsasgn(A, S, B)
% overload of operator {} for element.
% if subscripts are numieric, the correspondign elements of the array are returned, if
% subscript is a string, all the tsd's are returned that contain that
% string in their name
% copyright (c) 2004 Francesco P. Battaglia
% This software is r... |
2afc9ee13b9923c52d963c21b246ab57e3c389f4573ec3c780180030a2f47cec | MATLAB | 795 | 34 | function d = simulateDataError(d)
global ERROR_ODDS_CONST
global logger
logger = InitLogger(logger);
if nargin == 0
d = [];
return
end
if isempty(d)
return
end
if isempty(ERROR_ODDS_CONST)
return
end
if ERROR_ODDS_CONST == 0
return
end
% Set error odds in percent units
r = round(ERROR_ODDS_CONST*... |
c44f40d5a680c27f9063e14a0a89c020023e794a0305242c129c9a8430339699 | MATLAB | 795 | 25 | function [status, txt] = awsEC2RunCommandOnInstance (ec2Instance,cmd)
%This function runs a command on the instance defined by DNS. Make sure to supply the PEM file path
%Both command and PEM file path are procided by awsEC2StartInstance
%INPUTS:
% ec2Instance - instance created by awsEC2StartInstance
% cmd - ... |
d3680f89bab7a36494ad38a7a861e2be29ef60136fb14a58882886bfb6fd6d12 | MATLAB | 795 | 32 | function UpdateCondPopupmenu(handles)
global maingui
if isempty(handles)
return;
end
if isempty(maingui)
return;
end
if maingui.dataTree.IsEmpty()
return;
end
iG = maingui.dataTree.GetCurrElemIndexID();
CondNames = maingui.dataTree.groups(iG).GetConditions();
CondNamesCurrElem = maingui.dataTree.currElem.... |
ef1f8b7c9559d2b234103025de922d3e3591610c8d4a28a3d1d6fa3a5cab0865 | MATLAB | 795 | 30 | dt = 2^-5;
Vmem = -90:dt:60;
l_V = length(Vmem);
Vt = -55;
% minf1 = @(v) ((-4.626e-06)*v^2 + 0.00013 * v + 0.5224) * tanh(-1.615 + 0.064*(v-Vt)) + 0.4803;
minf1 = @(v) (0.0001005 * v + 0.5052)*tanh(1.961+0.06681*v)+0.4921;
minf2 = @(v) am(v, Vt)/(am(v, Vt)+betam(v, Vt));
minf1tab =... |
ecac03d6409226c87fc6f63ec28ff978cc611640c5e98d349d7fcdc26373453c | MATLAB | 796 | 18 | function s= table_transient(files)
for k = 1 : length(files)
fName = files(k).name;
fFolder = files(k).folder;
fullname = fullfile(fFolder,fName);
load(fullname)
file_name = fullname ;
info_file_name = split(file_name,'.');
info_file_name = info_file_name{1};
% Group transient variables... |
1ac65efb4c2e75090692ae9d17a4ecfbc32e9e6a6db11bdf6c261bdd9ded6a8e | MATLAB | 797 | 28 | function CueRotPaper_GetCueEpochs
clear all
%% Load data
led1 = load(fullfile('Data','LED1_TS.csv'));
led2 = load(fullfile('Data','LED2_TS.csv'));
%% Get cue change times
% get timestamps of cue change
led1 = led1(:,1);
led2 = led2(:,1);
ix = find(diff(led1) > 150 & diff(led1) < 250);
... |
bf17d18fd3ef0f001b47981ff768179158f2dbf93b052f76ad1a3dc31ba95663 | MATLAB | 797 | 22 | % reference: https://www.mathworks.com/matlabcentral/answers/47065-matrix-resize-rows-and-cols
% instructions: supply matrix as ext_dir_init data. set new_size. use
% ext_dir_init2 as new data.
% set params
new_size=40;
orig_size=sqrt(size(ext_dir_init,2));
matrix_orig=reshape(ext_dir_init,orig_size,orig_size);
matrix... |
23fcdc494d882cc056ae23dfe4055ae7834c3027eebb4bea0a3a0cd0543b59df | MATLAB | 799 | 31 | %IsPositiveInteger - Test if array contains only positive integers.
%
% USAGE
%
% test = IsPositiveInteger(x,strict)
%
% x array to test
% strict optionally, test for strictly positive integers
% (default = 'off')
% Copyright (C) 2004-2006 by Michael Zugaro
%
% This pr... |
7f777cbed93512ddcf51e4f8e5cffd6570e8d03cbfc9948b0bd7cc0304b0b4c4 | MATLAB | 799 | 20 | function [wl initialweight] = weaklearnerinitialize_template(trainpats,traintargs,epsilonconstant,seed);
% Template for defining weak learner initialization functions for AdaBoost. See
% decisionStumpInitialize.m for an example.
%
% License:
%=====================================================================... |
bc13b2e0c35d5c7c1f8ef719961a2b4028850f1a07ef437aa0c8b710fd7980f0 | MATLAB | 799 | 38 | function [subj results] = load_subj(fn)
% Loads in a SUBJ structure
%
% [SUBJ] = LOAD_SUBJ([FN])
%
% This is the complement to SAVE_SUBJ.M. It's very simple indeed
%
% FN (optional, default = 'subj')
% License:
%=====================================================================
%
% This is part of the Princeton MV... |
99be7fe8413b9ae83fd46fd1ead41091fb4465a9807930ab878ab36a0f0b8a07 | MATLAB | 800 | 22 | clc; clear all; close all;
n_bio=1.37;
n_PLGA=1.46;
n_BG=1.51;
n=n_bio/n_PLGA;
theta_c=asind(n_bio/n_PLGA);
phi=0:0.2:90;
phi_c=asind(n_PLGA/n_BG*cosd(theta_c));
theta=acosd(sind(phi).*n_BG/n_PLGA);
r_perpendicular=(n_PLGA.*cosd(theta)-n_bio.*(1-(n_PLGA/n_bio)^2.*sind(theta).^2).^(1/2))./(n_PLGA.*cosd(... |
5547aafae6fd4069c6dd0dd976432b45e470627f2ddd4cbb8715d1f8fde9e95c | MATLAB | 801 | 39 | function [y, mu1, mu2, denom] = yuent_dep(x1, x2, percent, dim, flag)
if nargin<5
flag = 1;
end
if nargin<4
dim = find(size(x1)>1, 1, 'first');
end
if nargin<3
percent = 0.2;
end
n1 = size(x1, dim);
n2 = size(x2, dim);
g1 = floor(percent*n1);
g2 = floor(percent*n2);
[mu1, thrlo1, thrhi1] =... |
15b3025bf05dbc3a657c154779fd6bdd6918c91d3fcb2e2c625091d19014fa38 | MATLAB | 803 | 20 | function [output] = randtn(mu,sigma,bounds,n)
%RANDTN mu, sigma, bounds, n
% Returns an array of pseudorandom numbers from trancated normal distribution.
% mu mean before truncation
% sigma standard deviation before truncation
% bounds interval bounds or the the one half of the inteval [mu-bounds, mu... |
afe2ab98c4bc31c7f81bfd277c9c6bd779916eafa1f809deca5d742db735ecf1 | MATLAB | 803 | 24 | function CalculateOpticalFlow(exportFolder, optFlowParams, image)
% Params
wSig = optFlowParams.WindowSigma;
relThresh = optFlowParams.ReliabilityThreshold;
% Calculate Optical Flow
vxMat = zeros(size(image, 1), size(image, 2), size(image, 3) - 1);
vyMat = zeros(size(image, 1), size(image, 2), size(image, 3) - 1);
rel... |
eda040428c2b761412b45f3580fbed548fd1a530a9a00e2e65fbc6ee0e9f420c | MATLAB | 803 | 25 | function [isthere] = exist_object(subj,objtype,objname)
% Checks whether an object of that type + name exists
%
% [ISTHERE] = EXIST_OBJECT(SUBJ,OBJTYPE,OBJNAME)
%
% Just calls get_number with IGNORE_ABSENCE = true
% License:
%=====================================================================
%
% This is part of th... |
9ae6689fe859cbb98825774a9bd6e3fcd9def114961842c9f4d30f809b99e46c | MATLAB | 805 | 36 | function mTSD = Mask(tsd, varargin)
%
% mTSD = tsd/Mask(tsd, TrialPairs....)
%
% INPUTS:
% tsd = tsd object
% TrialPairs = pairs of start/end times (can be matrices of n x 2)
%
% OUTPUTS:
% mtsd = tsd object with times *not* in TrialPairs set to NaN
% ADR 1998
% version L4.0
% status PROMOTED
% Unwrap trial ... |
a721f92a777a638f270315c379ae305e4ef966f32fa06f6d54f0750f82ee4dc6 | MATLAB | 805 | 27 | function [c,ceq] = t1obs_constraint(x,T1obs,eps)
% Function to enforce inequality constraint during model fitting.
% x is parameter vector [k*1000 f T1a T1b Gsf] Gsf is scaling factor applied to G0,
% T1a,b in seconds
%
% T1obs is the observed T1 that the fit parameters must be consistent with
% eps is the allowed dev... |
bb3d4f0c64733ae8277d5d4ba01600afb2ecbf2a28bdf8dc4a336b12c2fb5876 | MATLAB | 805 | 29 | function [m] = cellssq(x, dim)
% [S] = CELLSSQ(X, DIM) computes the sum of squares, across all cells in x along
% the dimension dim.
%
% X should be an linear cell-array of matrices for which the size in at
% least one of the dimensions should be the same for all cells
nx = size(x);
if ~iscell(x) || length(nx)>2 ... |
0479de7cc30e3e1219e63f5900e69b256512f9f05f772ff87cbc08a58b5532d4 | MATLAB | 806 | 43 | function A = array(O, TimeUnits)
% No comprendo
%
% USAGE:
% S = array(O, TimeUnits)%
%
% INPUTS:
% O - an intervalSet object
% TimeUnits - a units object or the abbreviation string
%
% OUTPUT:
% S - a N x 2 array of starting and end points for each interval in the set
% copyright (c) 2004 Fra... |
1085bd60cd97cbffc56caec39e1c0da9aa86339db09bec23dffcbd025c00e30f | MATLAB | 807 | 22 | % script to run all. Can take up to 1 full day. Parallel computing version is
% available at ...
% Preprocess nirs data for 3-class results for Figure 5 and 6.
prompt = 'Warning. It'' take up to 1 day to run the whole thing. Are you sure? (Y/N)';
x = input(prompt);
if strcmp(x,'Y')
sbjList = {'12','13','14','15'... |
40eed37039f4b0733b12acfa1d277cf45c343b95fd25c9d9d49ca18499c87c1b | MATLAB | 807 | 29 | function [cv timeBound] = CV(rg,varargin);
% [cv timeBound] = CV(rg) computes the coefficient of variation of a spike
% train rg given in second. It computes std and mean of the difference between spike timing
% up to the 99% percentile of the cumulative histogram (given by
% timeBound) to prevent any divergence of th... |
5b82099759a49277054545346b781187ee67e14dd0f5137e6befcd4d1ca57abf | MATLAB | 807 | 22 | % script to run all. Can take up to 1 full day. Parallel computing version is
% available at ...
% Preprocess nirs data for 2-class results for Figure 5 and 6.
prompt = 'Warning. It'' take up to 1 day to run the whole thing. Are you sure? (Y/N)';
x = input(prompt);
if strcmp(x,'Y')
sbjList = {'12','13','14','15'... |
77e9bc586e64d79552add8f80926c8b8e94499b3688c30e9d0d853a687b7e9cb | MATLAB | 807 | 26 | function [post, a] = mdnpost(mixparams, t)
%MDNPOST Computes the posterior probability for each MDN mixture component.
%
% Description
% POST = MDNPOST(MIXPARAMS, T) computes the posterior probability
% P(J|T) of each data vector in T under the Gaussian mixture model
% represented by the corresponding entries in MIXPAR... |
a4aef48f442f33c533b1b44fb1ddd702865737048e86efe78d99e4dae903227a | MATLAB | 807 | 29 | function resultFlag = IsOctave
% resultFlag = IsOctave
%
% Returns true if the script is running under GNU/Octave.
%
% Some scripts need to behave differently when running under
% GNU/Octave instead of running under Mathworks Matlab.
% History:
% 05/10/06 Written (MK).
% 03/08/06 Added the 'var' parameter to the exist... |
25344e6b6b415b9122e4eddb892c9b2ce92a17ee89a9b5d846b9ef4be573db5a | MATLAB | 811 | 26 | function [f, df, ddf] = rosenbrock(x);
% rosenbrock.m This function returns the function value, partial derivatives
% and Hessian of the (general dimension) rosenbrock function, given by:
%
% f(x) = sum_{i=1:D-1} 100*(x(i+1) - x(i)^2)^2 + (1-x(i))^2
%
% where D is the dimension of x. The true minimum is 0 at x ... |
4f09a7a4de1e8ca248e44035e142cc2905700d465af8b2156a7b27efbfd4de5c | MATLAB | 811 | 29 | function str = camel_case(str)
%
% Removes non alphanumeric characters and uppercase first letter of all
% words but the first
%
% USAGE::
%
% str = camel_case(str)
%
% :param str:
% :type str: char
%
% :returns:
% :str: (char) returns the input with an upper case for first letter
... |
0869610c2c6065453411cf4b9aab81fc61a8e9ac5456061a0dd78bdbfc6e7129 | MATLAB | 812 | 24 | function [t,x] = ml_EM(K,g_Ca,g_K,g_L,C,E_Ca,E_K,E_L,phi,V1,V2,V3,V4,I0,sigma_noise,x0,T,dt)
% SOURCE: https://doi.org/10.1007/978-3-662-61184-5
N = length(K);
t = 0:dt:T;
V = x0(1:N);
W = x0(N+1:end);
x = nan(2*N,length(t));
x(:,1) = x0;
for ii=2:length(t)
if (t(ii)>716 && t... |
980749af4d6cdb275bfce7314c24c769f9e1dec290cd956e126d33fd11b66c6f | MATLAB | 812 | 33 | % *WAVE*
%
% PHASE GRADIENT TEST SCRIPT takes the phase gradient of a test
% test signal (here, a 2d target wave)
%
clear all; clc %#ok<CLSCR>
% parameters
T = 1; %s
Fs = 1000; freq = 13.5; %Hz
image_size = 8; decay_sigma = 5; %px
wavelength = 20; %px/cyc
pixel_spacing = 1; %a.u.... |
303650635c9db4a10bccfc6d26a12f319e9386358ad0a4e739580f93aa131312 | MATLAB | 813 | 27 | function mri_level1(p)
% Run a first-level GLM on the fMRI data, to model brain activation in
% response to the target and other trial events (distractor, cue, delay
% onset, probe onset, report). The aim is to calculate a
% target-vs.-baseline contrast, which is then used to select voxels for the
% reconstruction ana... |
60182d80d4452bf409c1b9a6905ec487fa2657d153f3e44fbaf1d55a559c035c | MATLAB | 813 | 25 | % @author Farad Khoyratee
% @date 16 Apr 2019
% @copyright
% SPDX-FileCopyrightText: © 2021 Farad Khoyratee <farad.khoyratee@gmail.com>
% SPDX-License-Identifier: GPL-3.0-or-later
function simplified_uV2= simplified_uV2(v, rpre, dt)
% inf = (2^-1)*tanh(-(2^-6 + 2^-7)*v-1.404)+0.5193;
% tau = ((... |
7eaca374e587d23e70846ce0b17853e6ac7eaa818e51d690c2e4dcd62dafb984 | MATLAB | 813 | 35 | %% Wave Clus Output Plotting
% load both the raw data and times files manually
%this is for wells
%clc
%close all
format long
figure('units','normalized','OuterPosition',[0 0 1 1])
hold on
data=highpass(data,300,25000);
x=[1:length(data)];
x=x./25000;
plot(x,data,'Color','k')
%cluster range inputted by user to for si... |
c424807433f7f99c40b9472c592af6b7f9529df549377138ec81f5d881fe14b3 | MATLAB | 813 | 30 | function [angVel,epClock,epAnti] = HeadVelocity(ang)
% Loads and computes angular head velocity.
%
% USAGE
% [angVel,epClock,epAnti] = HeadDirectionWhl(fbasename)
%
% INPUT:
% fbasename: session file basename
%
% OUTPUT
% angVel: a tsd object of angular values
% epClock: intervalSet object of clo... |
04693095eb00793fb963c4fc87970e5b707806511899e54628049b8681560abc | MATLAB | 814 | 23 | function awsEC2UploadDataToInstance (ec2Instance,source,destination)
%This function moves data / files to and from the instance
%INPUTS:
% - ec2Instance - instance created by awsEC2StartInstance
% TempPEMFilePath - PEM file path
% source - file path of files / directory at source. local!
% destination - f... |
9f14425801c45089539d46e5c10dd518b4d783458b71a9f2acb560140e0d5af4 | MATLAB | 814 | 27 | function updateWasAlignmentSuccessful(slidePath)
% This function adds wasAlignmentSuccessful to slides that where aligned
% manually (for LC & LD)
% Written at Jan 25, 2020.
%% Load Data
if ~exist('slidePath','var')
slidePath = [s3SubjectPath('03','LD') 'Slides/Slide01_Section01/'];
end
slideConfigPath = ... |
d418dfc95c9044e8545f84198b9360ab7a8ddf914933cb367684c0ab07b15e23 | MATLAB | 814 | 30 | % SCRIPT
%
% If you don't like the way that the ARGS structure created
% by PROPVAL stores your arguments as fields in a
% structure, this script will blurt them out into your
% workspace as full-fledged variables.
%
% e.g.
%
% defaults.blah = 42;
% args = propval(varargin,defaults);
% args_into_workspace
% dis... |
68b6d85394d4a53df9766ccb31988046e84d957528e5507dd9038d4cc04ff937 | MATLAB | 815 | 30 | function [angVel,epClock,epAnti] = HeadVelocity(ang)
% Loads and computes angular head velocity.
%
% USAGE
% [angVel,epClock,epAnti] = HeadDirectionWhl(fbasename)
%
% INPUT:
% fbasename: session file basename
%
% OUTPUT
% angVel: a tsd object of angular values
% epClock: intervalSet object of clo... |
4d0a903af052e36848e5b35b4b3f5c5a3164ca4d981e1160aa067352020bafa2 | MATLAB | 817 | 31 | function [Y,ppp] = preprocess(Y,ppp,shrinkQ);
%[Yout,ppp] = preprocess(Yraw); OR
% Yraw = preprocess(Yout,ppp,shrinkQ);
%
% Yraw - p x N matrix of raw observations
% Yout - p x N matrix of processed observations
% ppp - p x 2 matrix, the columns being the sample mean and
% sample standard deviation of e... |
b4b6c11d19ecf12a135169860bc5140e0f43836422a2d8daf0e0e6fc81a72cad | MATLAB | 817 | 31 | function mlAct = mlAct_Initialize(mlAct0, ml)
% if size(ml,2) > 2
% k = find(ml(:,4)==1);
% else
% k = 1:size(ml,1);
% end
k = 1:size(ml,1);
if isvector(mlAct0) && (length(mlAct0) == length(k))
mlAct = [ ml(:,1:2), mlAct0, ml(:,4) ];
elseif isvector(mlAct0) && (length(mlAct0) > length(k))
if size(ml,2) ... |
c2bff106abada17f249cec013312a70dc209fa7d3a9dcf9c0fd15999343e9d83 | MATLAB | 817 | 29 | function [s,m] = unixf(varargin)
% A shortcut to unix(sprintf(...))
if islogical(varargin{1}) & varargin{1}
varargin = varargin(2:end);
cmd = sprintf(varargin{:});
dispf('unixf: %s', cmd);
end
if nargout == 0
unix(sprintf(varargin{:}));
else
[s,m] = unix(sprintf(varargin{:}));
end
% License:
%=========... |
cbd81b82c93b6af6d0d6199d52c66e8ea8117143594afcd153fa53040244c5aa | MATLAB | 817 | 20 | % This file is part of the Matlab Toolbox for Dimensionality Reduction v0.7.2b.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code in any way you
% want for non-commercial purposes. However, it is appreciated if you
% maintain the name of th... |
690cf50df952c34197aa36c083762139e05dc2556744cabe604b8d2440002872 | MATLAB | 819 | 30 | function net = glmunpak(net, w)
%GLMUNPAK Separates weights vector into weight and bias matrices.
%
% Description
% NET = GLMUNPAK(NET, W) takes a glm network data structure NET and a
% weight vector W, and returns a network data structure identical to
% the input network, except that the first-layer weight matrix W1... |
c257bd029357406928ef5d81e0e1cba6f40077a10c09303df3c346905e23a7af | MATLAB | 819 | 34 | function [returnVar,msg] = RemoveDCfromDat_AllDat(fbasename)
% USAGE:
% RemoveDCfromDat_AllDat(fbasename)
%
% removes DC offset in all channels from all dat files starting with
% 'fbasename'. Assumes that there is at least one xml file associated to
% one the dat file (must be created before with Neuroscope and/o... |
6177e37cb0263795d7ad7ade672696aecb46fdfe78fd523e2e31e78fda17aa6e | MATLAB | 820 | 33 | function isIt = fdlnIsLineIdentified (fdln)
%Are lines in fdln structure identified? meaning are they of type
%'v','h','t', or '-' and at least one 'h' and one 'v'
%INPUT:
% fdln - a single Fiducial Line structure or an array of a few
% structures
%OUPTUT:
% isIt - 0 if non of fdln are identified, 1 - ... |
9f097f097632b4e3ffb0ecbfe5a88d59e32225de208300f7f1d0beb50122ce9e | MATLAB | 821 | 27 | function netwtonsY = solveWithNewton(A, b, newtonsIter, rowI, rowII, colII, v, Ival, breakOnConverge, x0)
tresh = 1e-6;
N = size(A, 1);
netwtonsY = zeros(N, newtonsIter);
netwtonsY(:, 1) = x0;
for i = 2:newtonsIter
x = netwtonsY(:, i-1);
xRaw = A*x + b;
g = activation(xR... |
0a626649361d6b22ffc8cdae440c76513025213a5d914c887f0d00275113cf29 | MATLAB | 822 | 21 | function ms = msSelectAlignment(ms)
%MSSELECTALIGNMENT Summary of this function goes here
% Detailed explanation goes here
bins = -20:20;
for ROINum=1:size(ms.alignmentROI,2)
subplot(2,size(ms.alignmentROI,2),ROINum)
alignH2 = hist2(ms.hShift(:,ROINum) ,ms.wShift(:,ROINum),bins,... |
c68aee0698d8278d5e6d7c6414d0bb289581dd5a83dd488d95aa9a0e065e24d1 | MATLAB | 822 | 25 | function [m, ssmp] = cellmean(x, dim)
% [M] = CELLMEAN(X, DIM) computes the mean, across all cells in x along
% the dimension dim.
%
% X should be an linear cell-array of matrices for which the size in at
% least one of the dimensions should be the same for all cells
nx = size(x);
if ~iscell(x) || length(nx)>2 ||... |
61a374037f08ed93e9865a2fe36b205c723d1beaacb93c4860633b77df505a70 | MATLAB | 823 | 35 | function net = knn(nin, nout, k, tr_in, tr_targets)
%KNN Creates a K-nearest-neighbour classifier.
%
% Description
% NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
% with input dimension NIN, output dimension NOUT and K neighbours.
% The training data is also stored in the data structure and the
% t... |
214c52689e3a12e73f458d7ced08dac21e6e42f8150a685426d897e291510576 | MATLAB | 824 | 28 | function [flm,indices] = flm_dipole(r,rq,q,Lin)
% r - r distance
% rq - position of dipole
% q - current
rqn = norm(rq);
theta = acos(rq(3)/rqn);
phi = atan2(rq(2),rq(1));
% qs(1) - unit vector e(theta)/ qs(2) - unit vector e(phi)
qs(1) = q(1)*cos(theta)*cos(phi) + q(2)*cos(theta)*sin(phi) - q(3)*sin(theta);
qs(2) ... |
28cf42058a0f313486d7bfbb8bfa7bf780244b015dff51ddf320ff6f3dbe9411 | MATLAB | 824 | 20 | function ss_str = switchSimulationSet(ss_str, field_name)
% sets the specified field to true, all others to false.
% for selecting which of the simulation sets to load
% options may include:
% run_f20_e3010_timesweep = false; % pull data from 20-field, time sweep
% run_f5_e1204_timesweep = false; % pull d... |
ba0221214d234588981a76c245dc6f75d0af23ae3afb40b48ada9377229e54c9 | MATLAB | 824 | 35 | function [k, nErrs] = generateErrorOddsConstant(oddsDesired, nTrials)
if nargin == 0
oddsDesired = 10;
nTrials = 1000;
end
if nargin == 1
nTrials = 1000;
end
% We want to calculate k that is the number to multiply rand() by to
% achieve desired odds. This seems to be a good fomula for
% approximating the ... |
c2669b52ec8ddac0f216348a2bbb5cf949910c51959c2083cce61f8dfff28c93 | MATLAB | 824 | 39 | clear all;
S.ROI = 'sphere';
Flmr_sum = flm_dipole_script(S);
Lin = 11;
%
% Reconstruct Fig. 1 of the 2005 JAP paper
%
for j = 1:size(Flmr_sum{1},1)
ff = squeeze(abs(Flmr_sum{1}(j,:,:)));
for k = 1:size(ff,1)
for l = 1:Lin
indices = (l^2):((l+1)^2-1);
ffl(k,l) = sqrt(sum(ff(k,i... |
e429708fd39ebb723dcdfe2ac2bf4ba06a0c3a17af2b71ba84d6057a7837cfcf | MATLAB | 825 | 40 | function [hf, hp] = plotFiltersLearn(K1, K2, color1, color2)
% Only plots the vestibular weights and their changes
% Plot resulting filter
hf = gcf;
dt = K1.dt;
ntf = length(K1.PH);
tf = (0:ntf-1)*dt;
% k_PH
hs = subplot(2, 2, 1);
hp = plot(tf, K1.PH,'Color',color1); hold on
hp(2) = plot(tf, K2.PH,'Color',col... |
1780f9032a73ea37dea6dc3385461b1ed33daac168fad88e9f5b90178f5e4355 | MATLAB | 826 | 32 | function weights = ComputeXCPrediction(q,Q,ep,varargin)
% weights = ComputePeerPrediction(S,Q,ep)
% S: ts of the cell
% Q: binned spike train matrix (tsd object) of all other cells
q = full(Data(Restrict(q,ep)));
Q = Restrict(Q,ep);
rg = Range(Q);
dt = median(diff(rg));
pop = full(Data(Q)); %In Hz
if ~isempty(... |
09fc0b8e73b8ba07250ae939d403143df31e71ecc447010ad3eb872ee7ee690d | MATLAB | 827 | 21 | function [dmat3d_cropped_label1] = Individual_ROI_mask(dmat3d_cropped_label, dcount)
%For method 2
%This function sets the values for a particular ROI to 1 and the rest of it to 0
%Thereby creating a ROI specific binary mask
%Input: dmat3d_cropped_label (cropped labels with all ROIs), dcount(desired ROI to be se... |
feeb7d5eab8fe890b1a49da0c3d7eb0b60dcc64a160cbbe53c6b890819e2ff01 | MATLAB | 827 | 20 | function ms = msAlignmentFFT(ms,plotting)
%MSALIGNMENTFFT Summary of this function goes here
% Detailed explanation goes here
for ROINum = 1:size(ms.alignmentROI,2)
display(['Alignment ' num2str(ROINum) '/' num2str(size(ms.alignmentROI,2))]);
rect = ms.alignmentROI(:,ROINum);
if(mod(r... |
925c44af6c63d62d9c10acd3fff176be60e88eb9f8ffbde572351ca07c2a2776 | MATLAB | 832 | 22 | function [d] = inv2x2(x)
%computes inverse of matrix x, using explicit analytic definition if
%size(x,1) < 4, otherwise use matlab inv-function
siz = size(x);
if all(siz(1:2)==2),
adjx = [x(2,2,:,:) -x(1,2,:,:); -x(2,1,:,:) x(1,1,:,:)];
denom = det2x2(x);
d = adjx./denom([1 1],[1 1],:,:);
elseif all(siz(1:... |
04085574a77899caa221f7376e20a9e427ecc714df904e4eb09f8868e85ff503 | MATLAB | 833 | 33 | function groupFolders = FindUnitTestsFolders()
global logger
global SCRAMBLE
logger = InitLogger(logger);
% Find all the group data folders with processOpt_default_homer2.cfg
% Those are the folders that can be unit tested
rootpath = filesepStandard(fileparts(which('Homer3.m')));
dirs = mydir([rootpath, 'UnitTests/'... |
105a8fe3c13a8355d5b82bf25dc7c60d650c59172650be4905e2abe92c6fa746 | MATLAB | 833 | 30 | function yOCT2Mat(data,filepath,dim)
%This function saves data to mat file (local or in cloud)
%INPUTS
% filepath - filepath of output mat file
% data - OCT Volume or B scan
% dim - dimention structure, to be saved along, if needed
%% Do we need AWS?
if (awsIsAWSPath(filepath))
%Load Data from AWS
... |
4af9723cd2d60123b420b58ea256206f91df7f314c5424b44a0ecbe51577d272 | MATLAB | 833 | 24 | function [xn] = complex_exponential_reconstruction( amplitude, phase )
% *WAVE*
%
% COMPLEX EXPONENTIAL RECONSTRUCTION reconstructs a real-valued datacube
% from its instantaneous amplitudes
% and phases
%
% ... |
0a217bc0009041d5d5dbe07a96f0584bb26777473450ea94cfb74c31941c0f1f | MATLAB | 834 | 39 | function [tso, ix] = RestrictThreshold(tsa, thr, varargin)
% Restricts TSD to values above (below) threshold
%
% USAGE:
% [tso, ix] = Restrict_threshold(tsa, thr, varargin)
%
% INPUTS:
% tsa - a tsd object
% thr - a threshold value
%
% OUTPUTS:
% tso - the restricted tsd
% ix (optional) - t... |
b7ef7afe39d77fbaa304f92809d5070079a436083bcbd1010fc0d6b3528f878d | MATLAB | 834 | 23 | %% Create timeseries for turbulence
clear all
addpath('/Volumes/LASA/TBI_OpenNeuro/Shared_code/Turbulence/TBI_turbulence_current_code') %code path
data_path='/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/timeseries/preprocessing/controls_tp2';
input_path='/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/timeseries/inputs_sch1000... |
060d1501854210fac7f9777d52fcf6b54e8fad7f1895c407f17f2c12c9d1835e | MATLAB | 835 | 24 | %% Create timeseries for turbulence
clear all
addpath('/Volumes/LASA/TBI_OpenNeuro/Shared_code/Turbulence/TBI_turbulence_current_code') %code path
data_path='/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/timeseries/preprocessing/controls_sch1000/';
input_path='/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/timeseries/inputs_sc... |
92ac54f20534d2e7c0ebfc0a0a6bbd67e80eadc77bbb76154d68f1d6977a251b | MATLAB | 835 | 30 | function [res, fmt] = detNonparametric(actigraphy, epoch, varargin)
%DETNONPARAMETRIC do nonparametric analysis (ISIV and M10L5)
%
% [RES, FMT] = DETNONPARAMETRIC(ACTIGRAPHY, EPOCH, STARTTIME, QUALITY, ISIVINFO)
% performs sleep detection on ACTIGRAPHY of epoch length EPOCH and
% return results t... |
d383f08446a37e8b9b86d449484e3259a5cdfd7384f4b9357ff116c05d4d340e | MATLAB | 835 | 41 | function RMSE=fitparchoice(InpMats)
switch length(InpMats)
case 2
Pmat=InpMats{1};
Cmat=InpMats{2};
DF=Cmat-Pmat; DF=DF.^2;
N=length(DF);
RMSE=sqrt(sum(DF)./N);
case 4
Pmat1=InpMats{1};
Cmat1=InpMats{2};
Pmat2=InpMats{3};
... |
5ed5dea3c01275545ecf240665a2ad2f67361b032a4f472fd7bbfe34de69735a | MATLAB | 836 | 47 | function d = mvnCrutchfield(Data1,Data2,varargin)
% multivariate crutchfield distance computation
% Adrien Peyrache 2007
N = size(Data1,2);
if size(Data2,2) ~= N
error('Data dimensions don''t fit')
end
if nargin ==1
mask = varargin{1};
if (size(mask,1)~=N) && (size(mask,2) ~=N)
error('mask dimensions don''t ... |
1b2195fe72e2c0fa727ce66e79de60dd3389f7ff8d4802f2aae91efe2558720b | MATLAB | 838 | 33 | % script to run all. Fast.
% Generate figures for the manuscript.
% Final figures require photo editing.
% Figure number refers to preprint version at
% https://www.biorxiv.org/content/10.1101/2022.09.06.506821v2.full.pdf
% Figure 3
% Requires some photo editing
plotAllHRF_Grp_ChnCriteria_Fig3_TTest(1,0)
% Figure 4
... |
32a67a9f2e556371c249806509a72dc192489d50c763874151e81f33a90bf034 | MATLAB | 838 | 34 | function R = Restrict(tsa, t0, t1)
% tsd/Restrict
% R = Restrict(tsa, t0, t1)
% Returns a new tsa R so that tsa.data is between timestamps t0 and t1
%
% ADR
% version L4.1
% status: PROMOTED
% v4.1 29 oct 1998 now can handle nargin=2
% v4.2 23 jan 1999 now can handle t0 and t1 as arrays
switch nargin
case 2 ... |
499352ec847c527f9b4c4b8033d6c178103af9b691af6484e285527989143f92 | MATLAB | 839 | 35 | %% Waveclus Cluster rejection based on ISI
fast_thresh=0.1;
times_files=dir;
times_files=times_files(contains(string({times_files.name}),'times'));
times_files=string({times_files.name});
%compute ISI
num_clus=length(unique(cluster_class(:,1)));
%calculate ISI
for i=1:num_clus
pts=cluster_class(cluster_class(:,... |
069a3ef79673ca8ec076a9fd10a68e1e08346c338f52dd90c2c34b11ab402a05 | MATLAB | 840 | 35 | function S = EPG_shift_matrices(Nmax)
% Generates shift matrices up to order Nmax for 3 standard EPG
% Layout of state vector is [F0 F0* Z0 F1 F-1 Z1 F2 F-2 Z2 ... etc]
% i.e. 3 states per n-value
%
% Shaihan Malik 2017-07-20
N = (Nmax+1) * 3;
S = zeros([N N]);
%%% F(k>=1)
kidx = 4:3:N;
sidx = kidx-3;... |
c04df93d7fcd1f35515179f81e65fb7e1ac7bc397084647d80a2215264814c36 | MATLAB | 840 | 18 | function vidObj = msColumnCorrection(vidObj,downSamp)
%MSREMOVECOLUMNVARIATION Generates the vector used to correct for ADC noise
% downSamp will cut down on the number of frames used in the calculation
meanFrame = zeros(vidObj.height,vidObj.width); %allocate memory
count = 0;
for frameNum=1:downSamp:vid... |
c47db45974ba8ec22ae70e9c21a5d1bf02b8b983068098de80ea34bd0c213893 | MATLAB | 840 | 30 | function [covp, covf] = gpcovarp(net, x1, x2)
%GPCOVARP Calculate the prior covariance for a Gaussian Process.
%
% Description
%
% COVP = GPCOVARP(NET, X1, X2) takes a Gaussian Process data structure
% NET together with two matrices X1 and X2 of input vectors, and
% computes the matrix of the prior covariance. This ... |
9a9e37bfffe27d1a013414f86cb93656406c97e173dd58cde0d406c1d763afc2 | MATLAB | 841 | 32 | function v = getVernum(appname, appdir)
v = '';
if ~exist('appname','var') || isempty(appname)
[~,f,e] = fileparts(pwd);
appname = [f,e];
end
if ~exist('appdir','var') || isempty(appdir)
appdir = getAppDir();
end
libdir = '/Shared';
if isdeployed()
p = appdir;
elseif length(appdir) > length(libdir) ... |
e128b6035394293e89637b7c378f420c2447b469d0ec8be25e59d0dd750c5dfe | MATLAB | 841 | 30 | function vbl = draw_fixcross(Experiment, color, flip, flipTime)
% takes color as additional argument to allow feedback, default color is
% white
% takes flipTime as additional argument to specify exact time of flip
% (script waits until time is reached)
Stimulus = Experiment.Stimulus;
Display = Experiment.Display;
i... |
60a0ac3aa3c3301acb9f40528f96146ae4826befef5079dbf339631ddf75bc2f | MATLAB | 842 | 52 | function [C,B] = CrossCorr(t1,t2,binsize,nbins)
nt1 = length(t1);
nt2 = length(t2);
% we want nbins to be odd */
if floor(nbins / 2)*2 == nbins
nbins = nbins+1;
end
m = - binsize * ((nbins+1) / 2);
B = zeros(nbins,1);
for j = 1:nbins
B(j) = m + j * binsize;
end
% cross correlations */
w = ((nbins) / ... |
d7a07c8442978c80887eb6dfcbd647082424915b46b95635369da1757777f353 | MATLAB | 842 | 35 | %% Peak distribution to help find largest peaks for break off
%manually load data and spikes files
min_peak_distance=1.5; %in ms
min_sd=11;
data=highpass(data,300,25000);
x=[1:length(data)];
x=x./25000;
plot(x,data,'Color','k')
[pospeaks,poslocs]=findpeaks(data,x,'MinPeakDistance',1.5/1000);
[negpeaks,neglocs]=findp... |
f73c622bab5905f13b0a5d6d3bc449ff74bd0c3cfa6fb7fc5d1824b1a1b74b5f | MATLAB | 843 | 23 | function fdln = fdlnCreate (u,v,group,linePosition)
%Creates a Fiducial Line structure
%INPUTS:
% u,v - points in the picture (x,y) that are on the fiducial line.
% u,v are arrays n by 1, u,v for each point [pix]
% group - what is the group that this line is associated with, can be:
% '1','2',... ... |
c35f0dc324781c19635e32559fab300edd31a1f726ae4feb272f52e1306c4edd | MATLAB | 844 | 28 | function varb1=pca_reconstruction(varb,rank)
if nargin<2
rank=4;
end
time1=max(varb(1).coords(:,4));
for i=2:numel(varb)
time1=min([time1 max(varb(i).coords(:,4))]);
end
raster=zeros(numel(varb),time1,3);
reraster=zeros(numel(varb),time1,3);
for i=1:numel(varb)
raster(i,:,1)=varb(i).coords(1:time... |
e037609aeda02e9d2c592538da10977bd850b4adb91ff25326d5cf7136bb53ed | MATLAB | 844 | 24 | function msBatchGenerateBehav(dirName)
%MSBATCHGENERATEBEHAV Summary of this function goes here
% Detailed explanation goes here
dataFolders = msBatchFindBehavFolders(dirName,[]);
figureNum = 0;
for folderNum = 1:length(dataFolders)
currentFolder = dataFolders{folderNum};
dirData = dir(cur... |
603186dc602dae3a93ee2d9479bb81cc61a503af71dd9c4b93205e25556cdb54 | MATLAB | 845 | 35 | function [traj2,NeuronSL2,Lap2] = speed_filter(traj1,NeuronSL,Lap,spdthr)
%SPEED_FILTER ´Ë´¦ÏÔʾÓйش˺¯ÊýµÄÕªÒª
% ´Ë´¦ÏÔʾÏêϸ˵Ã÷
if nargin < 4
spdthr = 10;
end
speed1 = traj1.speed;
fms = (speed1 >= spdthr);
x1 = traj1.x1;
y1 = traj1.y1;
thetaPosition = traj1.thetaPosition;
rhoPosition = traj1.rhoPo... |
2b00b61ffadd335c5ff67b134c0d720d53230258f11e47ae503c90e931962947 | MATLAB | 846 | 29 | function varb1=pca_reconstruction(varb,rank)
if nargin<2
rank=4;
end
time1=max(varb(1).coords(:,4));
for i=2:numel(varb)
time1=min([time1 max(varb(i).coords(:,4))]);
end
raster=zeros(numel(varb),time1,3);
reraster=zeros(numel(varb),time1,3);
for i=1:numel(varb)
raster(i,:,1)=varb(i).coords(1:ti... |
50da80fb500791c68a4544ce97b0364f337168da4a048cc0c8d099af4ce641e4 | MATLAB | 846 | 29 | function [Traj_trunc] = TruncateAtRadius(Traj, radius)
% Truncates any trajectory at a given radius from start point (first cross).
% use interpolated (1ms or 5ms) trajectories to increase spatial resolution
numTraj = size(Traj,1);
Traj_trunc = Traj;
for i = 1:numTraj
x1 = Traj{i,... |
558b8c0db79390723a9eaa93dce68e6626c9756a7e185fc8bcdf3f8caecd2f10 | MATLAB | 848 | 27 | % function dist = euclidean(X)
%
% A function to calculate the Euclidean distance between multiple vectors.
% Usually faster than squareform(pdist(X,'euclidean')), unless we are
% dealing with lots of patterns and very little data. Takes the input like
% pdist, i.e. columns and rows are flipped w.r.t. correlation... |
caa5997ab8ef11ab9796a92c7c0375b5da9c9b1d9689b15560c100dd261cba55 | MATLAB | 848 | 39 | %% test script
close all, clear all
%% load bb
load('C:\Users\DBHeyer\Documents\PhD\Human Database\bbtest.mat')
%% get tables
abfs = bb.abftable ;
channels = bb.channeltable ;
ins = bb.analogintable ;
sweeps = bb.sweeptable ;
epochs = bb.epochtable ;
aps = bb.aptable ;
%% get new batch
cc = Abfbatc... |
c91a5dff5ff34589552007178b546181c942a266aca3e95b7aee7bfd145900f2 | MATLAB | 850 | 14 | % Basic functions for the analysis of kinematic data
% Joern Diedrichsen
% V.1.0 09/13/05 (jdiedric@jhu.edu)
% -----------------------------------------------------------------
% 1. Calculating numerical derivatives and smoothing
% velocity_discr - Numerical first derivative (with filter option)
% accelerat... |
e582a99fb81ff12d40c02a48230e6bf5f98ebee10dfe2e55a1b6bb7166ec9156 | MATLAB | 850 | 32 | function wm=winmean(x,percent)
% function wm=winmean(x,percent)
% returns the winsorized mean of x
% x must be a vector
% percent must be between 0 and 100; the function winsorizes the lower and
% upper extreme g values of x, where g=floor((percent/100)*length(x)). If x is empty, then NaN is
% returned.
% percent=20 ... |
5bc423ff7a4f2141c2921e5f54e0a8d86bc09bc149219bed603bb793c72a2e31 | MATLAB | 851 | 39 | close all
clear all
clc
%% Insert filepath and parameters
% File location
FileLocation = %Insert path
% input parameters
channel = [1 2];
ns=[1 2];
sz=[11 5];
pkh=[12 10];
channel_track = [1 2];
param.mem=1;
param.good=10;
param.dim=2;
param.quiet=1;
oldFolder = cd(FileLocation);
listing = di... |
1ca5aef2d159d5729e977b52d5e883190a7f6a6891f7294a697e1a134565b61c | MATLAB | 852 | 38 | function [dateNum, dateStr] = gitLastRevDate(repo, file)
dateNum = 0;
dateStr = '';
if ~exist('repo','var') || isempty(repo)
repo = pwd;
end
if ~exist('file','var') || isempty(file)
file = '';
end
repoFull = filesepStandard_startup(repo, 'full');
currdir = pwd;
if ismac()
cmdprefix = 'TERM=ansi; ';
e ... |
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