sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ad90217441ae54612fec338065eecb22e1e03459feddda758444a5de6c0e6cf4 | MATLAB | 1,048 | 25 | function mask = choose_mask_circle(self, imgType)
%choose_mask_circle - Protected class method to choose an individual
% circular mask
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Ge... |
6ef1c24ca1ac20a81607808787578ad868a9cfbe27aff3536be38bfa6ad71ba1 | MATLAB | 1,049 | 44 | %% check_dendrogram_tree
%% test 1
clf; hold on;
axis off
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
dendrogram_tree (tree, [], [], [], [], 1, '-p');
end
end
tprint ('./p... |
0bca1c471840fc5ae9ab76a9ca5789599f8b5fdf4e305a31838055fd7b8afbe1 | MATLAB | 1,050 | 43 | %op_CSIAverage.m
%Brenden Kadota, Sunnybrook, 2021
%
% USAGE:
% [out]=op_CSIAverage(in);
%
% DESCRIPTION:
% Averages CSI FID-A structure along average dimension.
%
% INPUTS:
% in = Input CSI FID-A structure
%
% OUTPUTS:
% out = Averaged CSI FID-A structure
function MRSIStruct = op_CSIAverage(MRSIStruct)
flag ... |
efb8cc60014a5c9a9d689f3a0d2b219b530c51246b63f533446dad6b07eb622f | MATLAB | 1,050 | 31 | %function [EvtRes, EvtClu, EvtLabels, Labels] = LoadEvt(FileName,SampleRate, Labels)
% loads event file (.evt) produced by neuroscope (see manual of neuroscope) into vectors of time (EvtRes) and type (EvtClu) of events, EvtLabels are stored in cell array EvtLabels. Labels contains unique set of all existing labels. ... |
a3015544918897f978a02129cf9f48b24d1d82864b370970c7dda2f63a2f4a02 | MATLAB | 1,054 | 60 | function [x, y]=bresenham(x1,y1,x2,y2)
%Matlab optmized version of Bresenham line algorithm. No loops.
%Format:
% [x y]=bham(x1,y1,x2,y2)
%
%Input:
% (x1,y1): Start position
% (x2,y2): End position
%
%Output:
% x y: the line coordinates from (x1,y1) to (x2,y2)
%
%... |
0c7ac84c890163f6416fbd6df83d63170a3daa442a620ad1eb47b2f1d4c2afd4 | MATLAB | 1,056 | 35 | %facePoint 1:16 around the face
% 17:forehead up, 18:nose up, 19:nose down, 20: mouth middle
% 21:left eye, 22:right eye, 23:left nose, 24:right nose 25:left mouth,
% 26:right nose
clear
close all
load('a0_3_0_extractingTheMorphingDataFromAnalyze1_facePoints.mat', 'facePointAll')
%load('a0_0_bhv2tri... |
38a4d5fb1000138f46315899966481dab1beffbc9ea3217b6b0d756f2312ce9d | MATLAB | 1,056 | 25 | % EEGfMRIPav_GLM3B_labels.m
% Create labels for each contrast of GLM3B.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/fMRI_Scripts/Display_Results/
% clear all; close all; clc
GLMlabels = { % sID, [filter ... |
5c50d5fa7a83a1d9e1d7a2489f30b590009f77100f166d17968cd99f26dbb717 | MATLAB | 1,056 | 28 | function [trajs, otherChs] = calc_trajs(self, varargin)
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either ver... |
8f7ba6371372b5d946ebdd474a438b4f6ef010462f88558a3b45f7851e17257b | MATLAB | 1,056 | 30 | function analyze_simulations(i)
addpath('/lustre04/scratch/nbrake/code/simulation_code');
folder = '/lustre04/scratch/nbrake/data/simulations/trend_peak_interaction2';
[sa,X] = network_simulation_beluga.getHeadModel;
locations = sa.cortex2K.in_from_cortex75K;
for i = 1:5
for j = 1:5
saveFolder = fullfile... |
b2283d9a3945b708990f6558ca4cf9c3aa166bfee58e815600e69f81b3c20a3a | MATLAB | 1,057 | 33 | %JET Variant of HSV colormap
%
% Examples:
% map = jet;
% map = jet(len);
% B = jet(A);
% B = jet(A, lims);
%
% Similar to MATLAB's jet function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor array using the color... |
dbf42e4d168f8e28de98aa10e142c23822d45150fbf6938aaf3e75bf2b8aef03 | MATLAB | 1,057 | 45 | function st_recon_stprf(DT,params,roiList,channel,plotDir)
saveName = sprintf('recon.mat');
saveName = [channel '_' saveName];
if ~isfile(fullfile((plotDir),saveName))
params.roiName2 = 'all';
df = tableRemove(DT,params);
df = defaultThresh(df,0);
params=[]; recon =[];
id = unique(df.subjID)... |
3311a3198476248512ceaf9acdc11a0190ba2fcc4f4089c43aaed600b5eec1b7 | MATLAB | 1,058 | 25 | % EEGfMRIPav_GLM3C_labels.m
% Create labels for each contrast of GLM3C.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/fMRI_Scripts/Display_Results/
% clear all; close all; clc
GLMlabels = { % sID, [filter ... |
697728abf04142dc03482d25fde2da52b734f3cfe924951331af2291850949b2 | MATLAB | 1,060 | 17 | function tree = t2n_testComp
% This function returns a single compartment of region "soma" in TREES
% toolbox format, which can be used for testing purposes.
%
% OUTPUT
% tree The testing compartment tree structure
%
% ***********************************************************************************************... |
e3a7e3c8b1b0cc41fc9ae99912055276c727c0c88f45e346c15e9bb19bfa5cf8 | MATLAB | 1,060 | 22 | function [all_trials_activity_smoothed_mat position_active_frames activity_mat_active_frames legitimacy_vec]=...
SmoothingAndThresholdingData(all_trials_position,all_trials_activity_mat,downsample_flag,ActvitySmoothingSize,ActivityThreshold)
if downsample_flag==0
all_trials_activity_smoothed_mat=all_trials_ac... |
2bd7a93d2f1ae51373b7492d0e8cc666e70e3d38da627ed8daf4292ed5a042e4 | MATLAB | 1,062 | 35 | %% check_syncat_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
tree.Ri = 100;
tree.Gm = 1 / 2500;
tree.Cm = 1;
syncat_tree ( ...
... |
ef9aca60ce5ea20cc8c8fe160e952a1acdce88e934977b21270770380b79ee22 | MATLAB | 1,062 | 24 | function CheckNansConsistency(DataMatrix,MouseIDs,StimuliLabels,Days,areaNames)
uniqueSLabels = unique(StimuliLabels);
uniqueMouseID = unique(MouseIDs);
meanPerMouse = zeros(size(DataMatrix,1),length(uniqueMouseID));
for m=1:length(uniqueMouseID)
ind = find(MouseIDs(:)==uniqueMouseID(m));
curMat = DataM... |
36f4d703126edd55c1afc01c811b55d8dfbf78b5a01332e6d859b516b494e0cb | MATLAB | 1,064 | 41 | function phase = estimatePhase(signal, time, opts)
%ESTIMATEPHASE Estimate respiratory phase from a respiratory timecourse.
%
% The default Hilbert method returns phase in radians on [0, 2*pi).
arguments
signal (:,1) double
time (:,1) double
opts.method (1,1) string = "hilbert"
end
if numel(signal) ~= num... |
47d22eb5720ad86f2145d7a913f6953f7127e817c47851609284b2780a764534 | MATLAB | 1,067 | 35 | function Write_4DStack(Stack, Filename, BitsPerSample)
if nargin < 3
BitsPerSample = 16;
end
t = Tiff(Filename, 'w');
tagstruct.ImageLength = size(Stack, 1);
tagstruct.ImageWidth = size(Stack, 2);
tagstruct.Compression = Tiff.Compression.None;
%tagstruct.Compression = Tiff.Compr... |
52c252064235a213ad7fc7d1c133c6b760b69e5bb1d853b9853ddcd663b1c8ae | MATLAB | 1,067 | 56 | %% VisCorr
clear all; close all; clc
load('dataLick.mat')
load('dataSlow.mat')
load('dataVis.mat')
% yLabs = {'d'' (day 1-10)','d'' (day 11-20)','d'' (day 1-20)'};
% ySets = {1:10,11:20,1:20};
yLabs = {'d-prime'};
ySets = {1:10};
nSets = length(ySets);
lickAvg = mean(dataLick,1);
slowAvg = mean(dat... |
4fc3c40b3c55a33a2ff06a75eb793869b738080d7ba801acf64ba20bc2be66eb | MATLAB | 1,068 | 42 | function loop_sim()
% loop_sim()
%
% Wrapper to call EEGfMRIPav_cbm_sim for model simulations and one-step-ahead predictions.
%
% INPUTS:
% None, set settings for simulations interactively.
%
% OUTPUTS:
% None, EEGfMRIPav_cbm_sim saves to disk.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-20... |
44461bcf7439c23d69ee71ed2b086d02f4db1140fee27c9c2e31732dc7de9359 | MATLAB | 1,070 | 47 | function DPrime = CalculateDPrime(A,B,Dim)
%% function DPrime = CalculateDPrime(A,B,Dim)
% Calculate d' between A and B in the dimention of DIM
%
% A and B must have same sizes in all dimentions but DIM
% DIM refers to the dimention of repetation, default = 3
% DPrime is the returned d'
%
% Note: DPrime = 0 when AMea... |
f13d7ba7fb9e25f43de788fd009bd14224980c98d36e749ac83f96ce6b0f8385 | MATLAB | 1,071 | 35 | %% check_quadfit_tree
tree = resample_tree (sample2_tree, 1, '-d');
%% test 1
quadfit_tree (tree, '-s');
tprint ('./panels/quadfit1_tree', ...
'-jpg -HR', [10 10]);
%% test 2
clf;
[~, qtree] = quadfit_tree (tree);
HP = plot_tree ( ...
tree, [0 0 0], [], [], [], ... |
b50e893cf14ef8f6b20684873b1fc6c7e0df41c2cdf0f7f5935e33d26ff70f90 | MATLAB | 1,072 | 31 | elName = {'Fz', 'Cz', 'Pz', 'C3', 'C4', 'CP3', 'CP4'};
filename = 'E:\Research_Projects\004_Propofol\manuscript\Nature Communications\_final_submission\source_data.xlsx';
% r = {'A','P','AE','AT','BI','BW','CK'};
figureNB(14,6);
for i = 1:7
load(fullfile(dataFolder,'EEG_data','Eq6_fits',sprintf('electrode%d_%s.ma... |
0faca70287741b9adece2ffd6f8fe418a5c24202fd4896ecefd0ad7cc93b9d06 | MATLAB | 1,074 | 42 | function i = intgrtDynEqs(odefun, i0)
% Integrates dynamical equations for the membrane potentials
% and NMDAR gating variables until the membrane potential of a neuron
% crosses the firing threshold.
%
% Input
% odefun - r.h.s. of the dynamical equations for the membrane
% ... |
6926519c51b765b3184eb24c5533d4cba36ddf23b68bd5b85330e222b4b35720 | MATLAB | 1,074 | 37 | function connectUnclockedAI(obj, chan, verbose)
% connectUnclockedAO(obj)
%
% Create a task that is unclocked AI and can be used for misc tasks.
%
% function zapit.DAQ.dotNETwrapper.connectUnclockedAI
%
% Inputs
% chan - which channel to connect. Must be supplied as an integer.
% ver... |
da686a50af4821c14ceae4001f984a782b2f5bf8aa344e33f8ee0c0fbe4066fe | MATLAB | 1,075 | 41 | classdef Mock_Config < Config & IMock
%MOCK_CONFIG Summary of this class goes here
% Detailed explanation goes here
% ================================================================== %
properties
property1 = 'value1';
property2 = 2;
specprop = [0 5 9];
end
... |
96a05f45a8dc309483502a588e3e9e29f0c9ef736e9672e1f95399b0ffea28e2 | MATLAB | 1,076 | 27 | function f = LK_PlotSigTimeForPrefVSUnprefObjects_20231008(dt)
%
% LK_PlotSigTimeForPrefVSUnprefObjects_20231008 plots the significant times
% for preferred versus unpreferred objects, across object cells.
%
% Input is a structure with multiple fields.
%
% Output is a figure handle.
%
% Lukas Kunz, 2023
% create figur... |
ca79b46000faa6e7daa4ba23f6d07914f77a557457f56cf1793e905f1d2aa37f | MATLAB | 1,076 | 43 | function H = goi_ent_g(x, biascorrect)
% ENT_G Entropy of a Gaussian variable in bits
% H = ent_g(x) returns the entropy of a (possibly
% multidimensional) Gaussian variable x with bias correction.
% Rows of x correspond to samples, columns to dimensions/variables.
% (Samples first axis)
%
% biascorr... |
78c7c022be005b6ca7288790b8e604a57709bc49b0fb48578a51999437e3498f | MATLAB | 1,077 | 36 | function success = WriteTiff(array, filename, typestr)
%WRITETIFF Writes array as TIFF file
%
% Uses ImageJ code to do write
% typestr is a matlab type name, supplied to the cast function
%
% array should be size [nRows,nCols,nFrames,nPlanes] where nPlanes is 1
% (indexed color) or 3 (RGB color)
%
% ... |
40af8f55a0ab3c3b867a6d5e8b9eec25619723464e09fe6043de841389d85056 | MATLAB | 1,080 | 27 | function [nPulses, pulseDurMilliSec, ISIseconds, nTrials, ledPowerLEDunits, stimDur, varargout] = parseStimStrOptogenetics(stimStr)
splitStrCell = regexp(stimStr, '_','split');
if numel(splitStrCell) == 5
[pulse, pulseDur, ISI, repeats, ledPower] = deal(splitStrCell{:});
if nargout > 6; varargou... |
5b695fce45fcf4edfe2ff85be5ac27677971b4be56636f89206b9ec7ec0f7dfb | MATLAB | 1,082 | 32 | function clear_worker_wngs()
%clear_worker_wngs - Reset warnings on the parallel workers
%
% This function is not intended to be called directly.
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of... |
0367e829f6084fafe8f3d88f3924b93ff682afc6071c8aa83500289b8beb2e65 | MATLAB | 1,084 | 38 | function [sigma, mu, AA] = mygaussfit(xx, yy, varargin)
%fit_gauss - Gaussian peak fitting helper function
%
% [SIGMA, MU, A] = fit_gauss(X, Y) performs a fit to the function:
% Y = A * exp( -(X - MU)^2 / (2*SIGMA^2) ).
% Points where the value of Y is below zero are ignored.
%
% [SIGMA, MU, A] = fit_gauss(X,... |
67aaab16fa52626d22e07d76526a021112c35761a67038383fa1452925576f50 | MATLAB | 1,086 | 42 | %% check_gdens_tree
%% test 1
clf; hold on; shine
axis off
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
gdens_tree (tree, 20);
end
end
tprint ('./panels/gdens_tree1', ...
... |
73d6a1e4f99c5516b9167cc5bd33efb819e81852cfd6457fc1f813786e622ada | MATLAB | 1,086 | 31 | function varargout = plot_imgData(self, imgChannel, strFigTitle)
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, e... |
4dca84007e05d569c4bb7566f10299ab0d0896539078a8fe6b9dbbe4282eef0a | MATLAB | 1,087 | 40 | function analyze_simulations(iChunk)
baseFolder = '/lustre04/scratch/nbrake/data/simulations/parameter_sensitivity_analysis2';
addpath('/lustre04/scratch/nbrake/code/simulation_code');
[sa,X] = network_simulation_beluga.getHeadModel;
locations = sa.cortex2K.in_from_cortex75K;
filename = fullfile(baseFolder,['analyze... |
5d0aebef8d564b8676f0b06fe9583df3c51ac6496bb5c6b9b591e68a4911f154 | MATLAB | 1,091 | 38 | function paintArea_Callback(obj,~,~)
% Paint brain area
%
% zapit.gui.main.controller.paintArea_Callback
%
% Purpose
% Paint brain area onto sample
if isempty(obj.model.stimConfig)
obj.PaintareaButton.Value = 0;
return
end
if nargin>1
% Only set GUI state i... |
9f5b292120a5299690e188e2c180193be9bde7f00cfee5974d28ed50aa02ed84 | MATLAB | 1,095 | 39 | function result = dosubstitution(r, dictionary)
import zapit.yaml.*;
if ~exist('dictionary','var')
dictionary = {};
end
result = recurse(r, 0, dictionary);
end
function result = recurse(data, level, dictionary)
import zapit.yaml.*;
if iscell(data) && ~ismymatrix(da... |
6bd354e343b4e5b9590b2431b675a9b1b21dc3016fd9edc3f9f7ee5a9707bc69 | MATLAB | 1,096 | 51 | clear all
load('vAllData.mat')
cell = VRData(:,4);
HAll = VRData(:,1);
vAll = VRData(:,3);
nCell = 21;
fitData = zeros(nCell,3);
% plot angles
hPlot = -180:1:180;
pVar = zeros(nCell,1);
figure(1)
for i=1:nCell
HFit = HAll(cell==i);
vFit = vAll(cell==i);
amp = 10;
offSet = -50;
ph... |
045adeda6a13926a9b819d4b324f62f0dfebf582685d9ae9d3a278cc1996a96c | MATLAB | 1,097 | 39 | function datadump(data)
import zapit.yaml.*;
recurse(data, 0, []);
end
function result = recurse(data, level, addit)
import zapit.yaml.*;
indent = repmat(' | ',1,level);
if iscell(data) && ~ismymatrix(data)
result = iter_cell(data, level, addit);
elseif isstruct(data)
result = iter_struct(data, ... |
2c172e256073791eaecf30c81977e2c6b3e4549e02b37a4b4d68e664a4b6e28c | MATLAB | 1,098 | 42 | function stim = getStim(params,doDown)
if notDefined('doDown')
doDown = 1;
end
%% downsample stimulus and reshape according to the temporal sampling rate
if doDown == 1
downSampleRate = 1000/params.analysis.temporal.param.fs;
stim = params.stim(1).images_unconvolved';
stim_all = zeros(size(stim,2),s... |
19fde7c4e165d57451c30a810bf6bfb844214a9c8e774018270c57df62765724 | MATLAB | 1,100 | 33 | % GABOR MODEL
% r0 + a*exp(-(d-d0)^2 / (2*s^2)) * cos(2*pi*f*(d-d0)+phi)
function[err] = errfun1DGabor( p, dat )
% evaluate 1D Gabor
x = dat(:,1);
g = p(1) + p(2)*exp( -(x-p(3)).^2 / (2*p(4)^2) ) .* cos(2*pi*p(5)*(x-p(3))+p(6));
% error
err = mean( (dat(:,2) - g).^2 ); % following DeAngel... |
3a0d9d8b7a2e8696a5898415abc8c59d113019451faa11e926ab4edcb57fd93d | MATLAB | 1,100 | 26 | % EEGfMRIPav_GLM1_labels.m
% Create labels for each contrast of GLM1.
% For GLM1without7, just copy and rename .mat output file.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/fMRI_Scripts/Display_Results/
%... |
ceaf4b352977a2863194607efc1daf4ec866d969050060334619d9a380bad58c | MATLAB | 1,100 | 34 | %%% optim_SMC.m
%%% Omkar N. Athavale, May 2023
%%% Solves a non-linear optimisation problem to identify best fitting
%%% parameters for k_iCa50, k_iNSCC, and p_iSMC.
addpath(genpath('../'));
rng(0, 'twister')
% constraint definition, see "help fmincon"
lb = [0; 0; -5];
ub = [3; 1; 5];
% initial guess sampling
n = ... |
75ec436705e69024062b5d65777b2bcdb72936bb97ebf7647056e514b7a90412 | MATLAB | 1,101 | 42 | % load ephys data
load('2021110_AAV8_hsyn_ChR2_x6.mat')
stim_firing = [];
no_stim_firing = [];
for i = 1:7
if i==1
stim_firing = firing.spikeRateMean_2ms10Hz_stim{i}';
no_stim_firing = firing.spikeRateMean_2ms10Hz_nostim{i}';
else
stim_firing = [stim_firing firing.spikeRateMea... |
45798606e29c674435b4de10e0f3b1b8b425e1ab105f037d078c7ab70f7a8694 | MATLAB | 1,103 | 37 | function [loadList] = oriLoadList(listType)
% Smaller load list to test the code
if strcmp(listType,'short')
loadList = {'210428_w32_2_outfile.mat'
'210903_I151_3_outfile.mat'
'210826_i151_3_outfile.mat'
'210914_i151_3_outfile.mat'
'210927_I154_2_outfile.mat'
'211019_I156_1_outfile.mat'
};
... |
df92df5ef5faa1c80730013e573aa7773e83aab587a9c090c65768a5b2ba7555 | MATLAB | 1,106 | 44 | function [PO, CV, curves] = tuningByCircular(data)
% remove the cell if its max is the catch
% I think that keeping it in messes things up... (ie. not a circle)
data = data'; % needs to be cells x oris
[~,p] = max(data,[],2);
data(p==1,:)=[]; % remove cellsif match is grey screen
data(:,1)=[]; % remove the data from a... |
5d4085e8c480b70eab7214bc6dcc0c9049fd07b5adede11f519baf75fd6c504b | MATLAB | 1,108 | 27 | % function of selecting the region of interesting
function blackMaskedImage = ROI(ReferenceImage)
h = drawfreehand();% confine a region
binaryImage = h.createMask();
% xy = round(getPosition(h));
% x = xy(:, 2); % Columns.
% y = xy(:, 1); % Rows
% keep only the part of the image that's inside the mask, zero out... |
f3b872bb564cebdeb039cabebc053dbc577328fc870612ae866e01188bad707f | MATLAB | 1,109 | 46 |
% this code will read all the gaze files from the trials and covernt them
% to the image coordinate.
clear
close all force
imSize = [733, 977];
pix2deg = 34.910;
hWB = waitbar(0,'checking the trials ...');
%load tirals info
load('a0_0_bhv2trialStrct.mat');
I = arrayfun(@(x) isfield(x.analyze,mfilename), dataTrl);... |
19f4885a1ed77ae30b81180f839d82d80aadaa12fe081c2898bc2d5835b3e5b0 | MATLAB | 1,110 | 25 | function updatePreviouslyLoadedStimConfigList_Callback(obj,~,~)
% Update drop-down of recently loaded files
%
% zapit.gui.main.controller.updatePreviouslyLoadedStimConfigList_Callback
%
% Purpose
% The paths to the previously loaded stim config files are stored in the
% property previouslyLo... |
6a465a14cb931d8e75e2524d79819dd271c6f78b1a15302edd403cb3e238f307 | MATLAB | 1,111 | 44 | %% check_morph_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
morph_tree (tree, [], 'none');
end
end
%% test 2
morph_tree (sample_tree, [], '-m');
%% test 3
morph_tree (samp... |
3ed8650bc66bb356a51f4565fdd79bb62066238e946df7cf7bd58b1b337d45bd | MATLAB | 1,121 | 44 | function varargout = raster(trialNumber,spikeTime,fig)
if(nargin<2)
spikeTime = 0;
end
if(nargin<3)
figureNB;
else
figure(fig);
end
if(sum(size(spikeTime)>1)>1)
A = spikeTime;
numspikes = sum(spikeTime(:));
spikeTime = zeros(numspikes,1);
t... |
a48e7064e0ca240080043c0a829ffc44a8b4d61a16aba76aa3ff1ed93367efff | MATLAB | 1,121 | 39 | classdef Test_CalibrationPixelSize_ui < matlab.unittest.TestCase
% ================================================================== %
methods (TestMethodSetup)
function clear_persistent(~)
utils.clear_persistent();
end
end
% ==============================... |
001b4f05469287304d93deee6303f0d88563202ab34a193f8117e7e26f5db75d | MATLAB | 1,123 | 31 | function mask = choose_mask_altLines(self, isEven)
%choose_mask_altLines - Protected class method to choose an individual mask
% based on alternating lines in the image
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% ... |
4a177d38b493dbf8642ff17b85dd582489f2dddeec2de6aa861c06338e959a31 | MATLAB | 1,127 | 46 | function [Amp1D,SF1D] = CalculateFFTAmp1D(A,SizePxl,Intv)
%% function [Amp1D,SF1D] = CalculateFFTAmp1D(A,SizePxl)
% Calculate 1D FFT amplitude
%
% A is an array with at leat 2 dimentions
% SizePxl is the pixel size (mm)
% Intv is the interval in SF1D (cyc/mm)
%
% Amp1D is the 1D amplitude
% SF1D is the 1D sp... |
0600bb59a2adeedcd08cc641d83dc490743b23400bf4e891f612b97a79d79c46 | MATLAB | 1,131 | 41 | function outmat = normalize(inmat, lo, hi)
% function outval = normalize(inmat, [lo=0], [hi=1])
%
% Normalises the matrix in inmat to between lo (for example 0)
% and hi (for example 1).
%
% Unlike rescale2, normalize does not round the values to the nearest
% integer; therefore this is more useful for rescaling double... |
1e123efdc16ccf8479a8605fc39ea46e25eee110d8404a361ba40a4827d8e94b | MATLAB | 1,132 | 49 | addpath './Tools';
load M28D20221026R0TS.mat
fnTS = 'M28D20221026R0TS.mat';
%% gaFFT
Message = gaFFT(fnTS,TS,DAVersion);
%%
XX = 100:1:360; %select ROI
YY = 150:1:310;
TotalTrial = 10;
FramepTrial = 120;
LowCutOff = 0.8;
HighCutOff = 2.5;
SizePxl = 0.0153; %/mm
DataCond_filtered = Filter... |
ba040a940933690fc376b99b8ec4b0b230c2f64dd6be8034ddf764ef569f015b | MATLAB | 1,134 | 32 | function status = export_data()
% Export the SWC file, and the voltage data in the format compatible with
% the calcium concentration simulations.
% Results data are placed in Results\Calcium
% Returns the status: missing input files = 0, incomplete voltage = 1, successful = 2
%% Create output folder
output_folder = ['... |
22aa43e39306eb48ff738823d56594c162f8db574eba6843b830d1bea3eb0b67 | MATLAB | 1,136 | 45 |
close all force
%clear
%load('a0_0_bhv2trialStrct.mat');
%%
tAll = tic;
hWB = waitbar(0,'checking the trials ...');
nTrialAllNext = 0;
iTrialAll = 0;
UMuscimol = [ 0, 12,9 ,4,1 ,14,11 ,6,3 ];
UMuscimol = [ 0, 12,9 ,4,1 ];
UMonkey = [1,3];
for iMonkey = 1:2
fo... |
8acbfdadb45fd3a17101f5c03c09d5afa89e7abc4387c0b1485d020727dc3de8 | MATLAB | 1,136 | 59 | function [b,c]=findInSorted(x,range)
%findInSorted fast binary search replacement for ismember(A,B) for the
%special case where the first input argument is sorted.
%
% [a,b] = findInSorted(x,s) returns the range which is equal to s.
% r=a:b and r=find(x == s) produce the same result
%
% [a,b] = findInSor... |
99eda2ffebad47024fc5080b6ca8c3bd062a77f43802188c2b0f64b77c8cb6e1 | MATLAB | 1,138 | 55 | function st_recon_plot(DT,params,roiList,channel,plotDir)
saveName = sprintf('%s_recon.mat',channel);
load(fullfile((plotDir),saveName),'avgrecon')
figure('position',[100 400 1300 200])
counter = 1;
polar_radius = 12;
polar_dim = 61;
x = linspace(0,polar_radius*2,polar_dim);
x = x - mean(x); y = x;
for eachROI = ... |
ab629d4ace0bbe95dfec0c295ff8d71e936b773a67be9687595c68b0d086b374 | MATLAB | 1,140 | 36 | function pX = taft_pinv(X)
% pX = taft_pinv(X)
%
% Compute pseudo-inverse using SPM's spm_sp function.
% Check for rank deficiency.
%
% INPUTS:
% X = 2D (trials x regressors) design matrix.
% OUTPUTS:
% pX = 2D pseudo-inverse calculated with SPM.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Alg... |
a262ebe28e98378ee53567b14518a799a0603ad97b09360ebe068c78c87124f5 | MATLAB | 1,149 | 30 | function dir = CHIPS_rootdir()
%CHIPS_rootdir - Return the CHIPS root directory
%
% DIR = CHIPS_rootdir() returns the root directory of CHIPS.
%
% See also utils.GetFullPath.GetFullPath, path, fileparts, filesep
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free softw... |
3f9d5f9e1817fc73fd05ab93aa55d197ce02f0e26e65b65264626b9a47eb4864 | MATLAB | 1,150 | 32 | classdef stimLocations
% Class that defines the field names for the stimulus locations
%
% function stimLoc = zapit.stimConfig.stimLocations
%
% Purpose
% The stimLocations property in the zapit.stimConfig class defines the coordinates
% to which the beam will go in each condition and also ... |
4e820bcb5ee6196c718597c082f917a8c8ebc8ec71b6cef01834628a7346ceb5 | MATLAB | 1,152 | 28 | function saveFigureA4(hFigure, folderName, figureFileName, dpiResolution, fixLine, orientation)
% saveFigureA4Landscape(hFigure, folderName, figureFileName, dpiResolution, fixLine, orientation)
if ~exist(folderName, 'dir')
mkdir(folderName);
end
switch orientation
case 'Portrait'
... |
3124f54b684160a1e3b26b1d946bc449862a3524dbac75af373790c637de55e4 | MATLAB | 1,153 | 34 | function result = ReadYaml(filename, nosuchfileaction, makeords, treatasdata, dictionary)
import zapit.yaml.*;
if ~exist('nosuchfileaction','var')
nosuchfileaction = 0;
end
if ~ismember(nosuchfileaction,[0,1])
error('nosuchfileexception parameter must be 0,1 or missing.');
end
if ~exist(... |
74580cc1bf78fddc75f06eb2f4c0c52d9983a6183b6d43dc38b008ae2aa5b4ad | MATLAB | 1,154 | 27 | % METRICS
%
% functions to obtain or alter metrics from a tree
%
% Files
% angleB_tree - Angle values at branch points in a tree.
% cvol_tree - Continuous volume of segments in a tree.
% cyl_tree - Cylinder coordinates of all segments in a tree.
% dstats_tree - Display tree statistics obtained by stats... |
d7fbb06a7918de4306e3c03ffc3e965d2b3f375fa09800f3358a554c4eb7d983 | MATLAB | 1,154 | 35 | function [full_model,AP_model] = fittingmodel(fitType)
if(nargin == 0 || strcmp(fitType,'eq6'))
fitAP = @(x,f) eq6(x(1),x(2),x(3),x(4),2*pi*f);
full_model = @(f,x) fitAP(x(1:4),f) + fitPeaks(x(5:end),f);
AP_model = @(f,x) fitAP(x(1:4),f);
elseif(strcmp(fitType,'eq1'))
fitAP = @(x,f) eq1(x(1),x(2),x(3),x(4),2*... |
e207230bfe721c4c17723e0dd54a9842c4fd3da7eaabb06cdb169a89e8da1732 | MATLAB | 1,154 | 35 | function [full_model,AP_model] = fittingmodel(fitType)
if(nargin == 0 || strcmp(fitType,'eq6'))
fitAP = @(x,f) eq6(x(1),x(2),x(3),x(4),2*pi*f);
full_model = @(f,x) fitAP(x(1:4),f) + fitPeaks(x(5:end),f);
AP_model = @(f,x) fitAP(x(1:4),f);
elseif(strcmp(fitType,'eq1'))
fitAP = @(x,f) eq1(x(1),x(2),x(3),x(4),2*... |
454dab576ef7ba91e3127066e301178fa919104cbe75ac27e0faf9fdffca239f | MATLAB | 1,155 | 27 | %% Release Notes
%%
% <html><h2>v1.0.4 - First Public Release</h2></html>
%
% *Known Issues*
%
% * Bio-Formats in MATLAB R2013a: The current Bio-Formats Java library is
% not compatible with the Java version included with MATLAB R2013a. Please
% refer to the <system_requirements.html system requirements> page for th... |
3d10e71dc8783171c2a7d581bd9aec4da9d165fc28f8ef6a7fb7eee480acb947 | MATLAB | 1,157 | 25 | function add_stack(name)
if (ispc == 1)
filename = strcat('../Models/', name, '/Code/NEURON/TMS_script.ps1');
filename2 = strcat('../Models/', name, '/Code/NEURON/save_locations.ps1');
[~,outp] = system('where nrniv');
if isempty(outp) || ~isempty(regexp(outp,'not found','ONCE')) || ~isempty(regex... |
51ab6a09110172e21d3665f80977d1d1bf661b542023a2c64da45679cea85922 | MATLAB | 1,160 | 48 | %%
clear
clc
%% set path
addpath('...\fcn')
addpath(genpath('...\ext'))
%% set directories
data_dir = '...\mammals_connectome';
out_dir = '...\output';
%% load data and set parameters
thresholds = {'0' '0.05' '0.1' '0.15'};
curr_thresh = 1;
load(fullfile(data_dir,...
sprintf('cents_repani... |
d92ba07f1629bf9a5a2dc4e7d6513c7294810f5ca8a09f66f79366d6cbf87d65 | MATLAB | 1,160 | 40 | function varargout = DefaultArgs(Args, DefArgs)
% auxillary function to replace argument check in the beginning and def. args assigment
% sets the absent or empty values of the Args (cell array, usually varargin)
% to their default values from the cell array DefArgs.
% Output should contain the actuall names of argume... |
8ea37af656fb15fc34316a8119d6745340acdfad38e768d5416dbcb119c39248 | MATLAB | 1,161 | 44 | % CPOINTS Returns points on a contour.
% (scheme package)
%
% [X, Y] = cpoints (c)
% --------------------
%
% Returns the point coordinates x and y from a contour c. A contour is
% defined by:
% c = [contour1 x1 x2 x3 ... contour2 x1 x2 x3 ...;
% #number_of_pairs y1 y2 y3 ... #number_of_pairs y1... |
a6ce77925ef85f5b2af01ac2a93867d5a123178fdd03f6833e9bf8f348a84a4a | MATLAB | 1,162 | 42 | function WriteTifStack(Stack, Filename, BitsPerSample)
if nargin < 3
BitsPerSample = 16;
end
t = Tiff(Filename, 'w');
tagstruct.ImageLength = size(Stack, 1);
tagstruct.ImageWidth = size(Stack, 2);
tagstruct.Compression = Tiff.Compression.None;
%tagstruct.Compression = Tiff.Compr... |
795b7858965376fc3873ebbbecfa3f25aeed7f4f205a3ace7c728c229beab67a | MATLAB | 1,163 | 36 | clear
close all force
load('a0_0_bhv2trialStrct.mat');
%%
nTrial = numel(dataTrl) ;
NTrial = 1:nTrial;
tAll = tic;
hWB = waitbar(0,'checking the trials ...');
nTrialAllNext = 0;
iTrialAll = 0;
distAll = nan(nTrial, 1);
%7 = downSizeRatio = (size(heatMapPixImgGaussFix)+[2,3])./round([733,977]/34.910*5);
heatMapNew ... |
be0c824ef6d84cf842fb19a6408ec3ae0db42f394cd2b6c929ed1f29bbd3bee8 | MATLAB | 1,163 | 42 | function figOffscreenCheck(fig);
% figOffscreenCheck([fig]): check that a figure
% doesn't get moved off the edges of the screen.
%
% This function checks the figure fig [default gcf]
% and, if it's running off the edge of the screen, moves / reshapes
% it to fit within the screen.
%
% ras, 07/05/05.
if ~exist('fig','v... |
f3c6470470a5b18fbcff9b7ed7e6684f403d436951444743f66eae4f73cf823a | MATLAB | 1,163 | 17 | function [ smooth_maximum_likelihood_angle_per_sample_index ] = estimate_head_direction( spike_rate_mat_neuron_by_angle, full_neuron_firing_per_bin )
global TEMPORAL_TIME_BIN NUMBER_OF_ANGLE_BINS;
% Perform decoding of neuronal data, based on wake data, to color data
% points of the reduced data
he... |
5d9c8e70046c9e65d96e2d1b071f4d2ec5dc29a46346437b802b4f7ef75e6753 | MATLAB | 1,165 | 39 | classdef Test_ProcessedImg_ui < matlab.unittest.TestCase
% ================================================================== %
methods (TestMethodSetup)
function clear_persistent(~)
utils.clear_persistent();
end
end
% ======================================... |
630b74917490f941de769200c1a10db082ff95575d37556b8f93aa5144aff81c | MATLAB | 1,168 | 31 | function acq = get_acq(self)
%get_acq - Get the image acquisition data
%
% ACQ = get_acq(OBJ) returns an acquisition structure ACQ that can be
% used as an argument to the Metadata constructor to create a new
% Metadata object.
%
% See also Metadata.Metadata
% Copyright (C) 2017 Matthew J.P. Barrett, Kim Da... |
731456983148bf734aea75b2d1bc915f2bc1a63e540bae0d0e889c98b59f8a06 | MATLAB | 1,168 | 42 |
clear; close all;
maindir = pwd;
warning off all
sub = 1006;
tasks = {'faceA', 'faceB', 'facesA', 'facesB', 'doorsA', 'doorsB', 'imageA', 'imageB'};
for t = 1:length(tasks)
rawtask = tasks{t};
% rename task
if strcmp(rawtask,'faceA')
bidstask = 'socialdoors';
elseif strcmp (rawtask,'face... |
29aa71bb07942335294ae1ed962fc7454b28630c125ec6dcc0e9367b26b7dc0c | MATLAB | 1,171 | 38 | %%% optim_ICC.m
%%% Omkar N. Athavale, May 2023
%%% Solves a non-linear optimisation problem to identify best fitting
%%% parameters for k_iAno1, k_iNSCC, and p_iICC.
addpath(genpath('../'));
rng(0, 'twister')
% constraint definition, see "help fmincon"
lb = [0; 0; -5];
ub = [1; 1; 5];
A = [10/9, 1, 0];
b = [253/180... |
7426d470955c86e1a8203bd0a9f6efaea25e1f2b3dc9b1f29568b0e3867d75eb | MATLAB | 1,171 | 31 | function sortedCountries = sortByCorrelationWithAllPrev(DataMatrixObservationsInRows)
DataMatrix = DataMatrixObservationsInRows;
curCorrMat = corrcoef(DataMatrix);
NCountries = size(curCorrMat,1);
diagInd = find(eye(size(curCorrMat)));
curCorrMat(diagInd) = -inf;
[maxVal,maxInd] = max(curCorrMat(:));
[maxI,m... |
2bbc55f24cab91a1b8e51f37eb26baa2ed4bedb50144a74d347b725ef44e93e3 | MATLAB | 1,172 | 38 | function dimNumber = getDimension(MRSIStruct, dimLabel)
arguments
MRSIStruct (1,1) struct
dimLabel char
end
switch(lower(dimLabel))
case 'x'
dimNumber = MRSIStruct.dims.x;
case 'y'
dimNumber = MRSIStruct.dims.y;
case 'z'
dimNumber =... |
524d5dd8fe5e493eab6addb62efd15b11caefca62eccf6724bc33286cd072ab1 | MATLAB | 1,175 | 32 | function coordinates = getCoordinates(MRSIStruct, dimension)
switch(lower(dimension))
case 'x'
coordinates = MRSIStruct.coordinates.x;
case 'y'
coordinates = MRSIStruct.coordinates.y;
case 'z'
coordinates = MRSIStruct.coordinates.z;
case 'kx'
... |
dcd81f4eacd9886d735209682f7a00187273c817014eca2e52852d81fc3d37bd | MATLAB | 1,177 | 58 | function [params] = logParamsVis(logData,lickTh)
%this code extract parameters from virmen logs on linear track
% Output:
%params.y:y position
%params.lickIdx=licking indices
%params.rewardIdx=the indices when the reward is delivered
%% Read data
a = logData;
t = (a(:,1)-a(1,1))*24*60*60; % time
r = a(:,... |
ac72220ac703eb2a63926accd62cc0c4c2c7a92c3af216c7099258a42306567f | MATLAB | 1,181 | 35 | function [W_DSD_greedy, Clist, CID] = greedy_final(Wp, threshold_DSD, lambda)
% a greedy version of the greedy peeling algorithm
% the algorithm finds a cluster at each time until the average value in the
% remainder adjacency matrix is below the mean of the input cluster
% Chuan
% initialize
Wp_DSD = Wp;
Wp_D... |
2818ce6870b96d73e8f62f11ce27dcf94528062581f116a3b25c31b100e126c5 | MATLAB | 1,187 | 37 | function [job, data] = TF_load_data(job)
% [job, data] = TF_load_data(job)
%
% Loads time-frequency EEG data based on job settings.
%
% INPUTS:
% job = cell, needs at least fields:
% inputFileName = string, name of file to be loaded, created by
% TF_update_job.m.
% dirs.TFgroup = string, dir... |
a40fffe56cf2c4124b2c8a2382d78c7ef08a5caf2383ca2917a028022e2a98bb | MATLAB | 1,188 | 32 | function clear_persistent()
%clear_persistent - Helper function for clearing persistent variables
%
% Clears persistent variables by clearing the class/function that they
% belong to. This seems to be the cleanest way, although it means
% updating the list below for every new persistent variable.
% Copyright ... |
51ee0a1595b65d6f1630c6f12d482328f515259a7da82fab526568a2bdfee5fe | MATLAB | 1,190 | 32 | %RunElectodesClassificationMatlabFunc
clear all
matlabImpute = true;
imputeIters=80;
NumTrees = 80;
substractMouseMean = true;
LeaveOutVec = {'Session','Stimuli','mouse'};
%LeaveOut = 'Session'
balanceClasses = false;
%ElectodesClassificationMatlabFunc(unifyContextClasses ,averageAllBoutsFromSession ,...
% ... |
84390f05026de3c7147a7bd8286b781542efc9b36c138d649cb8e5d95c19b393 | MATLAB | 1,190 | 53 | function Data = blkGetData(fnBLK,BLKHeader,iFrames)
%% Get the data from a BLK imaging file
% Return a 3-D array: Y,X,T
% fnBLK is the BLK filename incliding pathname.
%
%
% YC at ES lab
% Created on Apr. 14, 2008
% Last modified on Apr. 14, 2008
%% Read header and set data type
if ~exist('BLKHeader','var')
BLKHead... |
e277b1686fef49dc9c9c8b66504e9c8d52fac366ae7cedce45f1df4e8dd25b19 | MATLAB | 1,191 | 50 | function [ ] = runSimulatorRound(spacing,rootdir)
%RUNSIMULATORROUND R
loadSimParams;
loadParameters;
simname = sprintf('simseq_spacingtest_%i',spacing);
working_dir = fullfile(rootdir,simname);
if ~exist(working_dir,'dir')
mkdir(working_dir);
end
%Set the parameters for the simulator
simparams.SIMULATION_NAME ... |
f7ed9f97b62bf4aeacdceaf2eaccf58ce38ae68c82fa347d85c4fc4f8930bf20 | MATLAB | 1,191 | 49 | %%%%% ---- PART 1: Avg of Whole data ---- %%%%%
MI_avg = mean(MI, 3);
%%%%% ---- PART 2: Avg of Time resoluved data ---- %%%%%
%%% ---- Step 1: Initialize the result matrix ---- %%%
MI_time = MI_out.MI3;
%%% ---- Step 3: Process to sum n=600 data ---- %%%
for i = 1:38 %i=time, 1 1~2sec block to 39~40sec blo... |
4a6e5af086a1a617aabd8f2964cd5619a095f4c49fab87071ee5711190ebb17d | MATLAB | 1,192 | 37 | clear
close all force
load('a0_0_bhv2trialStrct.mat');
%%
nTrial = numel(dataTrl) ;
NTrial = 1:nTrial;
tAll = tic;
hWB = waitbar(0,'checking the trials ...');
nTrialAllNext = 0;
iTrialAll = 0;
sacAll{nTrial} = [];
for iTrial = 1:nTrial
cTrial = NTrial(iTrial);
if dataTrl(cTrial).quality && dataTrl(cTrial).i... |
967e8ab93cd5a3a0966efd1523e17cd0261e06e3d0ab03a18f6f656c7a72520b | MATLAB | 1,192 | 32 | elName = {'Fz', 'Cz', 'Pz', 'C3', 'C4', 'CP3', 'CP4'};
saveFolder = 'E:\Research_Projects\004_Propofol\data\experiments\scalp_EEG\analyzed\rescaled_time';
dataFolder = 'E:\Research_Projects\004_Propofol\manuscript\Version3\Data';
load(fullfile(dataFolder,'data_time_information.mat'));
t0 = timeInfo.infusion_onset-time... |
3793f73845fd43f9e7092776145ccfd75e102a47c6d6bb157a22a82189a55a27 | MATLAB | 1,193 | 43 | function basis = designMatrix(mask, voxelSize, order)
%DESIGNMATRIX Build real solid-harmonic-like polynomial basis terms.
arguments
mask
voxelSize (1,3) double {mustBePositive} = [1 1 1]
order (1,1) double {mustBeInteger, mustBePositive} = 3
end
if order > 3
error('fmriPhase:harmonics:UnsupportedOrde... |
5be83cfa282d65b02738f2385b303a67a3adc128aa14c5c134917937d319693f | MATLAB | 1,193 | 40 | function lims = get_limits(xx)
%get_limits - Helper function for getting axis limits
%
% This function is not intended to be called directly.
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the... |
f5e6edd34f94a206f4ca5ce7808c8b38817123c2b959167f9ece75a064b0d32f | MATLAB | 1,193 | 43 | function pointButton_Callback(obj,~,~)
% Run on press of the Point button
%
% zapit.gui.main.controller.pointButton_Callback
if nargin>1
% Only set GUI state if the *user* clicked the button
% rather than than harmonizeGUIstate calling it.
obj.GUIstate = mfilename;
end
... |
554cf06d1db7feb69aeea89e704deb12aacdbfe9365db96f02892462dfd6e7d8 | MATLAB | 1,195 | 37 | function [job, data] = time_load_data(job)
% [job, data] = time_load_data(job)
%
% Loads time-domain EEG data based on job settings.
%
% INPUTS:
% job = cell, needs at least fields:
% inputFileName = string, name of file to be loaded, created by
% time_update_job.m.
% dirs.timegroup = string, ... |
5e4fab1b7fd14a9e88f8b3f17ef09aa361a88888af52c8df4f5d9d2b733ab50c | MATLAB | 1,196 | 40 | function full = fullpath(pth);
%
% full = fullpath(pth);
%
% Given a string specifying a path which may be an absolute path,
% or a path relative to the current directory, always return
% an absolute, full path string. Platform-independent.
%
% Ex: if the current directory is '/usr/me' and the pth string is
% 'Inplan... |
1fa0cee93c6a32da302b5ce577f338dba5ad984dff089dbb6f5b6d06c2c702a7 | MATLAB | 1,199 | 49 | function y = nansem(x,dim)
% FORMAT: Y = NANSEM(X,DIM)
%
% Standard error of the mean ignoring NaNs
%
% nanstd_nansuite(X,DIM) calculates the standard error of the mean along any
% dimension of the N-D array X ignoring NaNs.
%
% If DIM is omitted nanstd_nansuite calculates the standard deviation along fi... |
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