sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b571bcdcf180abf7adc3b71fc68a98a6e3e8b826e49b500b4386f926a0d63093 | MATLAB | 432 | 17 | function chans = LK_GetChans(chanDir)
%
% LK_GetChans gets all channels within a specific directory, sorted in
% ascending order.
%
% Use as: chans = LK_GetChans(chanDir);
%
% See also dir, replace, lettersPattern
%
% Lukas Kunz, 2021
% all channels in the directory
chans = dir(chanDir);
% sort all channels in asce... |
f68394ac4b7c61ac68ad5542e34a0a3c8d1db6fc750b9adf812c1ae58f2f72a1 | MATLAB | 432 | 18 | %% check_gi_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
tree.Ri = 100;
tree.Gm = 1 / 2500;
tree.Cm = 1;
gi_tree (tree, 'none');
end
end
%% test 2
gi_tree ... |
b3e802377e1b1529efd981385a8e2490eea3f30bbe86de75ec8327c390f4792e | MATLAB | 435 | 12 | %% curve fitting for neural and behavioral activity
% example
fake_data = [1 2 3 4 5 6 7 8 9];
raw_data = fake_data;
x = 1:1:length(fake_data);
y = raw_data;
[param,stat]=sigm_fit(x,y,[],[],[]);
corrIndv95 = (max(stat.ypred)-min(stat.ypred))*0.95+min(stat.ypred);
% find the closesd day
func = @(xval)param(1)... |
eb9149269a321b649d0c15c8949c1641d08486288d478b49aadce2cb5cd320cd | MATLAB | 437 | 16 | %% check_vtext_tree
%% test 1
tree = sample2_tree;
clf;
axis off;
plot_tree (tree, [0 0 0], [], [], [], '-b');
ht = vtext_tree (tree, ...
('hello!!!!')', eucl_tree (tree), [0 0 10], [], 1 : 9);
set (ht, ...
'fontsize', 36, ...
'fontname', ... |
effab5a92986397d3f298999ce62d245ee3d3ea1f5a038f87e5ab0a6c350b732 | MATLAB | 442 | 11 | headstage_source='eCube'; %options: 'UCLA' or 'Intan' or 'eCube'. Value must be entered as a string.
if strcmp(headstage_source, 'UCLA')
disp('Using the UCLA 64 ch amplifier board')
elseif strcmp(headstage_source, 'Intan')
disp('Using the Intan 128 ch amplifier board')
elseif strcmp(headstage_source, 'eCube'... |
b8f44b187c4d692f1b0d85981dd56e64d23f3513dccf172e1e4322ceecc9aaf1 | MATLAB | 444 | 18 | %% check_lambda_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
tree.Ri = 100;
tree.Gm = 1 / 2500;
tree.Cm = 1;
lambda_tree (tree, 'none');
end
end
%% test 2
... |
4f377b08a508fbd3096b8f998fef45720d48a60b0ba4c15604d437e096993ae3 | MATLAB | 446 | 13 | function live2pAcqDone(src, evt, varargin)
global ws
hSI = src.hSI;
% try to get the saved tiff name at the end of each acquistion
% not sure if this will work
% can send w/o fname and live2p will look for the most recent tiff
out.EVENTTYPE = 'ACQDONE';
out.filename = [hSI.hScan2D.logFilePath '\' hSI.hScan2D.logFileS... |
b0dc8e1865c8ea821f3e8e475817ecc48acd2a29bd18522de948447b7d2a5ad0 | MATLAB | 449 | 16 | function str = getCurrentPopupString(hh)
%# getCurrentPopupString returns the currently selected string in the popupmenu with handle hh
%# could test input here
if ~ishandle(hh) || strcmp(get(hh,'Type'),'popupmenu')
error('getCurrentPopupString needs a handle to a popupmenu as input')
end
%# get the string - do it th... |
54799bd34d121e738aca24138ac18ff44ea459bc107c814ee8730ee3fe22890a | MATLAB | 451 | 24 | function tree = strip_axon(tree)
%Strips the axon away from the rest of the cell morphology.
axon_nodes = [];
for i = 1:length(tree.R)
if tree.R(i) == 2
axon_nodes = [axon_nodes, i];
end
end
tree = delete_tree(tree, axon_nodes);
for i = 1:length(tree.R)
if(tree.R(i) == 3)
tree.R(i) = 4;
... |
345610f80f336bc2c4f628fd67930cff86b0e78091d989ecaddbdc40a7b535f9 | MATLAB | 452 | 13 | function newPrevPermute = addDimPrevPermute(prevPermute, dimLabel, dimNumber)
newPrevPermute = prevPermute;
for iDim = 1:size(prevPermute, 2)
dimensionNumber = prevPermute{1, iDim};
if(dimensionNumber >= dimNumber)
newPrevPermute{1, iDim} = dimensionNumber + 1;
end
end
... |
108a7f01fc627369a042c2b2bd7a01f3d9bad72bd2ab3c234c58e66fd196906a | MATLAB | 454 | 22 | function oinf = goi_oinfo(X,biascorrect)
% Compute the O-information for the matrix X (nobs x nvartot)
%
if nargin < 2; biascorrect = 'true'; end
X = goi_copnorm(X); % Copula normalization
% matrix size
[~, nvartot] = size(X);
H = goi_ent_g(X, biascorrect);
oinf = (nvartot - 2)*H;
for i = 1:nvarto... |
b74553a3a7497de7f684ae7b6e14cda1279572b6814a6a0f711916f4dd5a858a | MATLAB | 454 | 18 | %% check_gene_tree
%% test 1
clf;
dLPTCs = load_tree ('dLPTCs.mtr');
gene_tree (dLPTCs, '-s');
axis off tight;
tprint ('./panels/gene_tree1', ...
'-jpg -HR', [10 30]);
%% test 2
clf;
hold on;
gene = gene_tree ({{sample2_tree}}, '-s');
d... |
69253d8fd850ae19f465b767a115cd621a5f71769698cc8fa306b1d9badbe085 | MATLAB | 455 | 13 | %% Create a figure big enough to fill almost whole (secondary) monitor.
function hFig = createFullScreenFig
graphicsRoot = groot;
if size(graphicsRoot.MonitorPositions, 1) == 2
monitorPos = graphicsRoot.MonitorPositions(2, :);
elseif size(graphicsRoot.MonitorPositions, 1) == 1
monitorPos = graphicsRoot.... |
9a52ecbdd5d6fbce6623c3789665cf4e2e6cd5ae6064d17375d2d0d6791c161d | MATLAB | 455 | 17 | function dispFrame(obj,~,~)
% This callback is run every time a frame has been acquired
%
% function zapit.gui.main.controller.dispFrame()
%
% Purpose
% This callback listens to the lastAcuireFrame property on the model
% and runs whenever it is modified.
if isempty(obj.hImLive) || ~is... |
f78079b448384a0bd246270f4323cd64de11d47bbebaa810a0a4de3e00ac2462 | MATLAB | 455 | 19 | function names = defaultNames(nHarmonic, nSvd)
%DEFAULTNAMES Return stable, package-safe regressor column names.
arguments
nHarmonic (1,1) double {mustBeInteger, mustBeNonnegative}
nSvd (1,1) double {mustBeInteger, mustBeNonnegative}
end
names = strings(1, nHarmonic + nSvd);
for idx = 1:nHarmonic
names(i... |
a8c2d3c4c7e57c46897c93b83069ff081992e1165cfb9af6d5d8c213366fa624 | MATLAB | 457 | 16 | %% check_clone_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
tree = clone_tree (dLPTCs{1}, 1, 0.1, '-s -2d');
tprint ('./panels/clone_tree1', ...
'-jpg -HR', [10 10]);
%% test 2
L5 = load_tree ([ ...
'./data/Markram - rat - ' ...
'cerebral cortex pyramidal cell L5 - GR... |
6482ad4a6f39dedd0ed8684f67e639ab92320ff0a7726484a84bd998c85d9308 | MATLAB | 459 | 16 | function iIncrementWaitbar(wb)
if isempty(wb.UserData)
wb.UserData = [0, 100]; % Default values, 0 progress out of 100 total
end
ud = wb.UserData;
ud(1) = ud(1) + 1; % Increment progress
% Check if the current progress does not exceed total progress
if ud(1) > ud(2)
... |
78c6c75c0e282fe83b18b3a86fc1e5d9c5d6bb643b3a91f1811d95cfd9f137fa | MATLAB | 459 | 19 | function makeTTLpulse(DAQ)
% Flip digital transiently line on and off, generating a TTL pulse
%
% makeTTLpulse(DAQ)
%
% Purpose
% Generate a rapid TTL pulse from a DAQ.
%
% Inputs
% DAQ - the output of connectAuxDaq
%
% Rob Campbell - SWC 2023
DAQ.dWriter.WriteSingleS... |
f6abef1a88daa03045b94465e792861536b082e9c36bb1c15e5dbbcc2ff0e4b2 | MATLAB | 459 | 16 | function createNewStimConfig_Callback(obj,~,~)
% Load the stim config editor GUI
%
% zapit.gui.main.controller.createNewStimConfig_Callback
%
% Purpose
% Launches the stimulus config editor GUI and also attaches to it references
% for the main GUI and the model (zapit.pointer).
%
%
... |
d525aa76f7927a6891226e4490518cb2f1a5e9053ae9cbdc124017ae2c762761 | MATLAB | 460 | 13 | function dicomHeaders = MRSI_read_dicom_headers(folderName)
arguments
folderName (1, :) char {mustBeFolder}
end
dicomFolder = dir(folderName);
% remove . and .. files from dicomFolder
dicomFolder = dicomFolder(~ismember({dicomFolder.name}, {'.', '..'}));
dicomPath = arrayfun(@(listing) ... |
25b9e7831a2c3f59193e085f43365df55f365edbccca786e11f8af593b32aba4 | MATLAB | 461 | 23 | %% check_xplore_tree
tree = sample2_tree;
%% test 1
clf;
xplore_tree (tree);
axis off;
tprint ('./panels/xplore_tree1', ...
'-jpg -HR', [10 10]);
%% test 2
clf;
xplore_tree (tree,'-2');
axis off;
tprint ('./panels/xplore_tree2', ...
'-jpg -HR', [10 1... |
fd8c51921a5072051669ba4ec888d5c30eef14229e18609fe388f2c2aafad7d1 | MATLAB | 461 | 16 | function hSubplotAxArray = createSquarishSubplotGrid(nSubplots, varargin)
if nargin > 1
spacing = varargin{1};
else
spacing = [0 0];
end
% Closest integer to square root of number of needed subplots.
nRows = ceil(sqrt(nSubplots));
% Now just add the needed colums, here maybe we end up with an extra
... |
916112884091874a662eb76bc1da8dc8af31327976eed7538718450f4903f110 | MATLAB | 462 | 27 | function Y = FuncWoNGaussian1D(P,X)
%% function Y = FuncWoNGaussian1D(P,X)
%
% 1-D Gausian function WithOut Normalization
%
% P = [Amp,X0,Base,Sigma] --- parameters
% Y = Amp*exp(-(X-X0)^2/2/Sigma^2)+Base;
%
%
% YC at ES lab
% Created on Dec. 1, 2008
% Last modified on Dec. 1, 2008
%% Parameters
Amp ... |
5799d75bdfa5d19726902dce436e39cd7d78cca5f949eaa50d72534ea0da154f | MATLAB | 465 | 11 | function curve = makeTuningCurve180(tuning_curve)
% send the tuning curve WITHOUT the blank condition
% must come in format of: condition x cell
assert(size(tuning_curve,1)==8, ['Number of conditions must be 8, not ' ...
num2str(size(tuning_curve,1)) '. Remove any catch conditions and ensure '...
'tuning curve... |
7ab0d707373323bfed2f7f3183b787a4c20c06d2d97bc00313fb20a53438a3ca | MATLAB | 465 | 14 | %% check_pointer_tree
%% test 1
clf; hold on;
axis off;
tree = sample_tree;
plot_tree (tree);
pointer_tree (tree, 1, [], [], [0 0 10]);
pointer_tree (tree, 2, [], [0 1 0], [0 0 10], '-o');
pointer_tree (tree, 30, [], [], [0 0 10], '-l');
pointer_tree (tree, 50, [], [], [0 0 10], '-v'... |
a43de3528196e3582a826d7b74119a397a13afa0c18baad512f5b94a2087d0a1 | MATLAB | 466 | 10 | function loopFlag = containLoop(neuronBW2,loopPeriThresh)
% This function checks if the neurons contain loops
% Input binary neuron image and return the flag 0 if no loop, 1 if there is
% a loop (minimum detectable loop perimeter is specified by loopPeriThresh)
loopRegion = imclearborder(~neuronBW2);
loopPerimete... |
fe691a451508df47065e2f81aaaa9307cb91c9d819011ddf33cd8045c1e8429e | MATLAB | 470 | 18 | %% check_M_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
tree.Ri = 100;
tree.Gm = 1 / 2500;
tree.Cm = 1;
M_tree (tree, 'none');
... |
d31861a1926b6906105d8de50d3996147d23f9bb737dc4f14ae3194d37d8b3b9 | MATLAB | 472 | 20 | % Load data
file = 'data.csv';
T = readtable(file);
ED = log10(T.ED);
MRR = T.MRR;
EncodingScore = T.EncodingScore;
% Variance partitioning
X = table(ED, MRR, 'VariableNames', {'ED', 'MRR'});
explained = regCommonality_lsqminnorm(EncodingScore, X)
file = 'variance_partitions.csv';
writetable(explained, file, 'WriteRo... |
38dc999b6aa29532b00832a6543f843592834058301a21bcc4b2421617c1e4d0 | MATLAB | 475 | 20 | function mkdirquiet(x)
% This file was taken from:
% http://white.stanford.edu/~knk/doc/kendrick/mkdirquiet.html
%
% function mkdirquiet(x)
%
% <x> refers to a directory location
%
% make the directory, suppressing warnings
% (e.g. that the directory already exists).
% assert that the result was successful.
%
% examp... |
c3a99dc615116e7d2c2bc16262f275e6da0e0efd0c9527a96233cf63d4302e5a | MATLAB | 476 | 14 | function unwrappedCell = LK_unwrapNestedCell(nestedCell)
%
% LK_unwrapNestedCell unwraps a nested cell array into an unnested cell.
%
% Lukas Kunz, 2021
unwrappedCell = cell(sum(cellfun(@(x) numel(x), nestedCell)), 1);
idx = 1;
for i = 1:size(nestedCell, 1) % loop through cells
for j = 1:numel(nested... |
e480b042848b915388935f448c5cd259645abb986503462656a933795b85e2db | MATLAB | 477 | 18 | %% check_elen_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
tree.Ri = 100;
tree.Gm = 1 / 2500;
tree.Cm = 1;
elen_tree (tree, 'none'... |
aa9b51d8425f577fda56925cc0979883bc7e44ef1168d88299958bf23dd7943d | MATLAB | 479 | 31 | %%
% p = pVals{1}*length(pVals{1});
% [~,p] = bonferroni_holm(pVals{1});
% [~,p] = bonferroni_holm(mean(pGlobal,1));
p = pVals{1};
sts = {'NS','*','**','***'};
cts = [0.05,0.01,0.001];
T = cell(size(p));
for ii = 1:length(p)
for jj = length(cts):-1:1
if p(ii)<cts(jj)
T... |
eae92e7747ad3e16072ee0da72845db1fb1ad99e2a55ed5bda6d9d617a2e348d | MATLAB | 480 | 24 | function C = CalculateCrossCorr2D(A,B)
%% function C = CalculateCrossCorr2D(A,B)
% Calculate 2D cross-correlation of A and B
%
% A and B must be 2D
% C has same size as A
%
% Note (Aus. 24, 2012): remove mean before calculating cross-correlation
%
%
% YC at ES lab
% Created on Sep. 29, 2009
% Last modified on Aus. 24,... |
a47d9d1586a61453c2cf36cfb50b16aa0e0e1956c2a6ff2ed3009253deee76f3 | MATLAB | 481 | 17 | function mycsvwrite(filename,var,header)
% writes a CSV file with headers
% mycsvwrite(filename,var,header)
% header is a comma separeted list of names
% for example, if you have a 25x4 matrix M you can do:
% mycsvwrite('datafile.csv',M,'id,wage,age,educ')
outid = fopen(filename, 'w+');
fprintf(outid, '%s\n', heade... |
63ba567eaf400330e1ed5fe83422ee2a7edeae022de6e2d4bf94726c1f6ef5aa | MATLAB | 483 | 18 | function updateTestSiteDropdown(obj)
% Updates drop-down menu showing stim locations so we can test-zap
%
%
if isempty(obj.model.stimConfig)
obj.TestSiteDropDown.Items = {};
return
end
for ii = 1:obj.model.stimConfig.numConditions
stimSite{ii} = sprintf('Site %d', ii);
... |
e1773324cb90e0e4fd7a37c136fcbf416aea4b4005b091618b2523c24de0e33b | MATLAB | 483 | 18 | function S = trca_S(X)
% Task-related component analysis (TRCA)
% X : eeg data (Num of channels * num of sample points * number of trials)
nChans = size(X,1);
nTrials = size(X,3);
S = zeros(nChans, nChans);
% Computation of correlation matrices
for trial_i = 1:1:nTrials
for trial_j = 1:1:nTrials
%if... |
66315e5adf42e1b75aa4aeb4cdd633a0541a09bf32e4aaeba4b783d9ec22c6b9 | MATLAB | 485 | 22 | function filter_ts = bandpass_final_SPM_ts(TR,fl,fh, ts)
% Sampling Frequency
Fs = 1/TR;
% Set bandpass filter parameters
% Center Frequency
Fc = 0.5*(fh + fl);
% Filter Order
No = floor(Fs * 2/Fc);
disp('Filtering ........................................................');
% ts is in the dimension of T*N
T = size(ts... |
bd0f0c7d4c11ec7aabdccdb6d4b8fa1ed0d19fb4068316ef64610eaed32e8101 | MATLAB | 485 | 12 | %in the "GridPlot.m", the field was actually number of in field bins, here
%let's calculate the real fields
cd ..\
load('nFieldReal.mat');
cd('gridCellsNewCueThresh');
load('E:\learningAnalysis\summaryManyMice_includingOldEnvBadMoreMice\indicesAllNewCueThresh.mat');
i=indicesAllNewCueThresh.GridIdx;
nFieldRealGr... |
5ecc99aa81050886514c5cefd0b6ac6d5bb9424418131cc4cb0237c700484e31 | MATLAB | 486 | 17 | function newDT = tableRemove(DT,params)
for jj=1:width(DT)
paramName = DT.Properties.VariableNames{jj};
if isfield(params,paramName) %%|| isempty(params.(paramName))
removerows{jj} = (DT.(paramName) == params.(paramName) );
% DT(rows,:)=[];
end
... |
705e87115ed23474e4b803e31414ba3c686870bd87ec0fe5ab66137b68925af5 | MATLAB | 491 | 15 | function figure2(dataFolder)
if(nargin<1)
error('Path to data required as input argument. Data can be downloaded from link in README file.');
end
% Add paths for function execution
myPath = mfilename('fullpath');
basePath = fileparts(fileparts(myPath));
addpath(fullfile(basePath,'auxiliary'));
addpath(fullfile(ba... |
b0d5d6e4b0ef4ea5eb1dd589083d4ae84f0aabfa38e8150b5fe48a13787a3270 | MATLAB | 491 | 19 | function [p, Rsq, pVal] = simplifiedLinearRegression(A,B)
%Ian was annoyed at how many lines of code were neded to say that something
%was linearly related so functionalized it.
[p s] = polyfit(A,B,1);
[f delta] = polyval(p,A,s);
Bbar = mean(B);
SStot = sum((B - Bbar).^2);
SSreg = sum((f - Bbar).^2);
SSres = sum((B -... |
ee5c4a9c329646b1e99545342c707daac4ac10ab23915add234dd5166a05b5ad | MATLAB | 491 | 13 | function [Tscan, infoStruct] = GetTime(infoStruct)
% Get trans-movie time vectors
Nruns = numel(infoStruct);
Tscan = cell(1,Nruns); dTtrans = zeros(1,Nruns);
for r = 1:Nruns
% infoStruct(r).Nscan = floor([infoStruct(r).nframes]/infoStruct(r).otlevels);
dT = infoStruct(r).Nplane/infoStruct(r).framerate;
... |
ced52dd6e6a43fdcf1ca43233e54758bfe03f56600db71f3a1aff809833822cf | MATLAB | 492 | 19 | %% check_gscale_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
spanning = gscale_tree (dLPTCs{1}, '-s');
display (spanning);
tprint ('./panels/gscale_tree1', ...
'-jpg -HR', [10 10]);
%% test 2
L5 = load_tree ([ ...
'./data/Markram - rat - ' ...
'cerebral cortex pyrami... |
24e652bf1437674b9a3db0dd05c16b813275917f4f06ae3fb515aea28c5c9dae | MATLAB | 493 | 20 | function xl = LK_xline(x, myLineStyle, myColor, myStackLevel)
%
% LK_xline creates a constant line at a specified x value.
%
% LK_xline is similar to MATLAB's xline, but allows to stack the line to
% the bottom.
%
% Use as: xl = LK_xline(x, myLineStyle, myColor, myStackLevel)
%
% Lukas Kunz, 2021
% information about c... |
5a0c11022382c4eb0982e7661de074fd8271e11a4e3368a10b6631f135c8f2ed | MATLAB | 494 | 22 | %% check_len_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
len_tree (tree);
end
end
%% test 2
len_tree (sample_tree, '-s');
tprint ('./panels/len_tree1', ...
'-j... |
04d8e84ff9e991bbd19bbdc1a6c1df99791993568a8f9a32ff1b9f0ee049ea09 | MATLAB | 495 | 19 | %% check_BCT_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counter = 1 : length (dLPTCs{1})
BCT_tree (sum (dLPTCs{1}{counter}.dA, 1));
end
%% test 2
BCT_tree ([1 2 1 0 2 0 0], '-s');
tprint ('./panels/BCT_tree1', ...
'-jpg -HR', [10 10]);
%% test 3
hsn ... |
d8e8abe69aa605eb2a28900b1c7baf5ec68c7afe8f0e85161f51432f3c738485 | MATLAB | 497 | 13 | function [fitParams, gof] = getFitParamsStructArrayFromTable(StimTable)
nChannels = size(StimTable.responseIndex{1}, 1); % (Dirty?) wa to get nChannels.
fitCellArray = StimTable.paramTuning;
fitStructArray = [fitCellArray{:}];
fieldNames = fieldnames(fitStructArray(1).fit);
gof = FlattenStruct(reshape([fitStructAr... |
6e501d4bc2864ce2849ad9f206ca74ff8b2476d382bc0ad3782c5c48a5316aeb | MATLAB | 499 | 14 | function dist = get_distance(points, refpoints)
% this function calculates the distance of every point to a given set of
% reference_points
% Alexander Opitz, 2018
% modified by Ivan Alekseichuk, 2018
%
% points = list of points, refpoints = reference points
dist = zeros(size(points,1),1);
for i = 1: size(points,1)
... |
f72587368cd74b005212d62dbf2f4637213ebba394a51e8bc19791f417b0ad19 | MATLAB | 500 | 22 | function [ trialCov ] = estimateRiemannianCovaraince( data )
% Extraction of covariance matrices in barachant format ( To adjust accordingly with that of covariance toolbox)
nbChannels = size(data,2);
nbTrials = size(data,3);
trialCov = zeros(nbChannels,nbChannels,nbTrials);
for t=1:nbTrials
% tic
E = data... |
e1729d3eebc08846eea4d043a53137d0af834833cacfec1c4b46949f839a4d70 | MATLAB | 501 | 16 | function f = LK_PlotVennDiagramTwoSamples_20231012(dt)
%
% LK_PlotVennDiagramTwoSamples_20231012 plots a Venn diagram with two
% samples.
%
% Input is a structure, dt, with fields A (total areas) and I
% (intersection). Orange and blue are used to color the total areas.
%
% Output is a figure handle.
%
% Lukas Kunz, 20... |
70e61e7c303d324ee2742100a82c803bfe2ec0a6bd8b002490ba7c879c995b08 | MATLAB | 502 | 19 | function bfunc = basisFuncConcGrad(obj,n)
% Outputs basis function for index n of concomitant gradient terms
% n = index of phs_conc in sampHighOrder.m
x = obj.phs_grid.x;
y = obj.phs_grid.y;
z = obj.phs_grid.z;
switch n
case 1
bfunc = z.*z;
case 2
bfunc = x.*x ... |
22ace78f915342eb42ce47c90d0a7731f7f2ff9a63b129012b220292e4c83c90 | MATLAB | 508 | 23 | function st_saveBOLD(DT,output_dir)
%%
% if (~exist('synBOLD', 'dir')); mkdir('synBOLD'); end%if
% fname = DT.pm(1).Temporal.Name;
% RFs = [DT.pm(1).RF.Centerx0 DT.pm(1).RF.Centery0 DT.pm(1).RF.sigmaMajor];
% RFs = num2str(RFs);
% RFs(RFs == ' ') = [];
%
fname1 = [output_dir '/synBOLD.mat'];
fname2 = [output_dir '... |
232eeb5dbfea1f52c533f3c1eaa8d4e8a37ed954ac61aad09543f6b52070f388 | MATLAB | 508 | 18 | function params=getOptimParams(params,doRidge)
params.analysis.optim.decimate = 1; %decimate by 1 so, no decimate
params.analysis.optim.fprec = 1e-4;
if doRidge == 1
params.analysis.optim.ridge = 1;
params.analysis.optim.ridgeAlpha = 0;
params.analysis.optim.algorithm = 'interior-point';
elseif doRidge =... |
db3d88ef24d743fcdff14026bc9db71017dae5f723112d231e1833e75b1918cd | MATLAB | 508 | 22 | %% check_eucl_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
eucl_tree (tree);
end
end
%% test 2
eucl_tree (sample_tree, [], '-s')
tprint ('./panels/eucl_tree1', ...
... |
a76519c871b84b9fc56770042674d38522c9caef0b3c4ec694573318b7aa4790 | MATLAB | 509 | 10 | % run this script to put anonymous functions for a Gabor tuning curve and
% it's first derivative into the workspace
% Define function for Gabor tuning curve
gabor_tuning_curve = @(x,p) p(1) + p(2)*exp( -(x-p(3)).^2 / (2*p(4)^2) ) .* cos(2*pi*p(5)*(x-p(3))+p(6));
% Define function for derivative of Gabor tuning curve... |
abf6cc4d8c004043aed4b00fa67bca5abdb68a21d416813e8e2eb65be4984ebd | MATLAB | 509 | 19 | %% check_cpoints
%% test 1
c = hull_tree (sample_tree, 4, [], [], [], '-2d');
for counter = 1 : 1000
cpoints (c);
end
%% test 2
clf;
c = hull_tree (sample_tree, 4, [], [], [], '-2d');
HP = cplotter (c, [0.75 0.75 0.75]);
set (HP, 'linewidth', 1, 'linestyle', '-');
[X, Y... |
b330dd8421908d4b0a7356b6dc6660c630d3a7d1493d0c8f3b636e0ee966929b | MATLAB | 511 | 16 | function refAPDropDown_Callback(obj, ~, ~)
% Callback that runs when the value of RefAPDropDown is changed
%
% function zapit.gui.main.controller.refAPDropDown_Callback
%
% Purpose
% This callback alters the value of the RefAPDropDown.refAP setting
% when the user chooses from the drop-down.... |
a62fcb449e083552cec4400c0047135400045c7af9836bb1fb9950f10bdf7a74 | MATLAB | 513 | 16 | function [ clustering_results ] = k_means_clustering( reduced_data, number_of_clusters, number_of_iterations )
%K_MEANS_CLUSTERING Summary of this function goes here
% Detailed explanation goes here
clustering_results = zeros(size(reduced_data, 1), number_of_iterations);
% Set the random generator to get st... |
26d2c269c8a344e51200741a38b444fe9dedd575d0e67fc394a289c433ffec87 | MATLAB | 515 | 1 | % An analog output waveform .mat file must contain two variables:
% rate - int. samples per second, must match handles.s.Rate
% waveform - (N x 4) vector of voltage values
function sample_generate_ao_waveform()
num_channels = 4; % number of AO channels in fipgui.m
rate = 10*10; % samples per second in fipgu... |
db596fe54e2fd39a71f9c5e58f4812b0a9dca04fb44b19c7f578d8496ff16d51 | MATLAB | 515 | 19 | function [closest, cval, err] = taft_findc(mat, val)
% [closest, cval, err] = taft_findc(mat,val)
%
% returns the index (closest), value (cval) and error (err) of the value closest to val
% in mat
% if val is an array or matrix, returns values for all elements of val
%
% Laurence Hunt
closest = nan(size(val));
cval ... |
96a6e2e070db3bdee3e469ed9ba7b25c774c6b3cea284f6255a736b8eba785bc | MATLAB | 516 | 27 | function stage_normalization()
loadParameters;
[ret,messages] = check_files_in_normalization();
if ret
fprintf('already processed normalization\n');
fprintf('[DONE]\n');
return
end
if params.USE_GPU_CUDA
normalization_cuda();
else
normalization();
e... |
11b51e09182ecc5007a24383e7a046206064b69a38f0abffd0a7ba13000cbb45 | MATLAB | 519 | 22 | %% check_resample_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
resample_tree (tree, 5, 'none');
end
%% test 2
resample_tree (sample2_tree, 5, '-s -e -w');
tprint ('./panels/resample_tree1', ...
'-j... |
1a3f6b715d27c3118eeed1e8bdd7986c28c2521d387df90ffc9b5b84cdcd458d | MATLAB | 520 | 18 | function displayID = closeScreen(displayID)
%
% Usage: displayID = closeScreen(displayID)
%
% closeScreen closes an opened PTB window which had been opened by
% running openScreen.
%
% History:
% ##/##/## rfd & sod wrote it.
% 04/12/06 shc (shcheung@stanford.edu) cleaned it and added the help
% comments.
if(isfield... |
7eed7c6f1c34835c29f10db09253cf8603fb96977b904a47e4503cc18afbab8c | MATLAB | 520 | 16 | function cmap = makeColormap(colors, n)
% LR 2017. Based on lbmap.m
%
% Inputs:
% colors = x-by-3 array of colors (0 to 1 range)
% n = number of elements final LUT will have
%
% Usage:
% cmap = makeColormap([0 0 1; 1 1 1; 1 0 0], 255); % for a Blue-White-Red cmap with 255 elements
% colormap(cmap) % set the colormap ... |
0aed40e3faffe9d4fb87719d4c25eb0722f81fd6c24ee195760c3528f292f33e | MATLAB | 521 | 22 | % unpack table cells to arrays
% KIS 2021
%%
function newT = tableArrayFormat(df)
targetVariables = df.Properties.VariableNames;
targetVariables = setdiff(targetVariables, {'sRF', 'tRF'});
for vn = df.Properties.VariableNames
paramName=vn;
if max(ismember(targetVariables,paramName))
if iscell(df.(p... |
ea6454b66665236a846de57b94bc06ba6358d649e9f7013cacae680d7625b43d | MATLAB | 521 | 23 | function Kbag=generateKcluster(Xl)
[n d] = size(Xl);
iterations = 10;
maxclusters = 4;
options = statset('Display','off');
scale=0;
KK = zeros(n,n);
for k = 2:maxclusters
for it=1:iterations
scale = scale+1;
try
obj = gmdistribution.fit(Xl,k,'Options',options);
Pgmm = post... |
283dcc87540625340c682e41d88daf3ea8c3a66f2df4ff9522f2f6d84a0374cf | MATLAB | 522 | 31 | function [Index,Value] = FindIndexInArray(A,Flag)
%% Find the index in an array A
% Flag is 1(max), 2(min), ...
%
%
% YC at ES lab
% Created on Sep.09, 2008
% Last modified on Aug. 24, 2012
%% Parameters
SizeA = size(A);
nSizeA = length(SizeA);
%% Find index
switch Flag
case 1 % max
[t,ti] = ... |
46ee5f93719867fbcb75940e1139358a19228560a678d479175b1eb29dd4f9a1 | MATLAB | 522 | 21 | %% check_recon_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
recon_tree (tree, 10, 20, 'none');
end
end
%% test 2
recon_tree (sample_tree, 105, 160, '-s');
tprint ('./panels... |
a01035c320269ab9f30602c2bf05a1764de678f828247dccc2ceade4a0c84149 | MATLAB | 522 | 20 | function [harmfields,mask1,phas,uphas,fl] = calcHarmFields(angleData,mask0,TE,B0,GYRO,vsz)
% Convert from Int16 to phase
phas = double(angleData) ./ 2048 * pi - pi;
% Do the laplacian unwrapping and rescale to units of field
uphas = unwrapLaplacian(phas,mask0,vsz);
for i = 1:size(uphas,4)
uphas(:,:,:,i) = uphas(... |
a2a10590a18ed893ce86bd0b1dbec933693ff50f07bfa7aa458a49a7a235bd71 | MATLAB | 522 | 18 | function ind = balanceClasses(labels,labelList)
freqPerLabel = zeros(length(labelList),1);
for k=1:length(labelList)
freqPerLabel(k) = sum(labels==labelList(k));
end
minFreq = min(freqPerLabel);
use=false(length(labels),1);
for k=1:length(labelList)
%curInd = find(labels==labelList(k),minFreq,'first')... |
8f0163d569614e0b3092a5a37b57497e1441edb6edd585ba4b997d15d21ea9c1 | MATLAB | 523 | 16 | function figure9(dataFolder)
if(nargin<1)
error('Path to data required as input argument. Data can be downloaded from link in README file.');
end
% Add paths for function execution
myPath = mfilename('fullpath');
basePath = fileparts(fileparts(myPath));
addpath(fullfile(basePath,'auxiliary'));
addpath(fullfile(ba... |
d806cef31e312ae87d146a55e2a7e38114d0c5d947d7b7485c752e75fa1aac31 | MATLAB | 523 | 22 | function yl = LK_yline(y, myLineStyle, myColor, myStackLevel)
%
% LK_yline creates a constant line at a specified y value.
%
% LK_yline is similar to MATLAB's yline, but allows to stack the line to
% the bottom.
%
% Use as: yl = LK_yline(y, myLineStyle, myColor, myStackLevel)
%
% See also: yline, LK_xline
%
% Lukas Kun... |
4750865a1e73d408b6a8c30739d50ff781530863087b838ce5de802fbd900e75 | MATLAB | 524 | 22 | function live2pSendSetup(src, evt, varargin)
global ws
hSI = src.hSI;
out.EVENTTYPE = 'SETUP';
out.nchannels = length(hSI.hChannels.channelSave);
out.nplanes = numel(hSI.hStackManager.zs);
out.fr = hSI.hRoiManager.scanVolumeRate;
out.folder = hSI.hScan2D.logFilePath;
% need to grab these from workspace somehow
% out.... |
d3042fd444bee1c8d3eb3c60cce42601772bbc93de42c31e433ca6f373f94cef | MATLAB | 525 | 20 | %% check_xdend_tree
%% test 1
tree = sample2_tree;
clf; hold on;
axis off;
dendrogram_tree (tree, 0.1);
x = xdend_tree (tree);
Plen = Pvec_tree (tree);
for counter = 1 : length (x)
ht = text (x (counter), Plen (counter), num2str (counter));
set (... |
57f93109097dc303f225d2bc4d39ce01c71e10815d1d7c9976e0bc6f9d7e669a | MATLAB | 526 | 21 | function [breathing_reg,all5_reg] = proc_reg(regfilename)
regmat = load(regfilename);
reg = regmat.reg;
[v,idcs] = max(corr(reg(:,1:16),reg(:,17:end)),'all');
[v2, idc_reg] = max(v);
breathing_reg = squeeze(reg(:,16 + idc_reg));
all5_reg = reg(:,17:end);
filenamebase = strsplit(regfilena... |
c2bbb41e6b79f33419070e3ce57e9f4602302a048559245c28b1cef779af70b3 | MATLAB | 527 | 27 | function stage_puncta_extraction()
loadParameters;
[ret,messages] = check_files_in_puncta_extraction();
if ret
fprintf('already processed puncta extraction\n');
fprintf('[DONE]\n');
return
end
punctafeinder;
clearvars
%Produce a punctavoxels.mat file
puncta_ro... |
42f5bf8551cf81555f95a7b01604b3e68ce02b7a2753400b09522b0ca0a57a52 | MATLAB | 530 | 27 | %% check_ipar_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
ipar_tree (tree);
end
end
%% test 2
tree = sample_tree;
ipar_tree (tree, '-s');
tprint ('./pane... |
da1f34be5c31507dd4ecb3464a0b3d22c8af5fea637762dd5831d5080263e79c | MATLAB | 530 | 22 | %% check_ratio_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
ratio_tree (tree);
end
end
%% test 2
ratio_tree (sample_tree, [], '-s');
tprint ('./panels/ratio_tree1',... |
e9c1263105e5d3e35da74b6ed34e5adc3d19ec8e49ec2722a719c1c471bd2434 | MATLAB | 531 | 20 | function [norm_values] = normd(in_vector, varargin)
% calculates the square p-norm along norm_dimension
% With default values for it is like sqrt(sum(in_vector.^2,2)).
% Mirko Windhoff, 2009
% $Id: normd.m 432 2010-08-05 11:06:14Z mwindhoff $
% USAGE: [norm_values]=normd(in_vector[, p=2, norm_dimension=2])
... |
70347401908743695f765a566a0684bbbc0ee2f0c581175eddd85145a8195e53 | MATLAB | 532 | 13 | function [output_mat] = lorenzabalone(inp_mtx,rho,tmax)
% Solve over time interval [0,100] with initial conditions [input_x,1,-input_x]
% ''f'' is set of differential equations
% ''a'' is array containing x, y, and z variables
% ''t'' is time variable
sigma = 10;
beta = 8/3;
parfor i = ... |
cb5e8e27a9bde02130ef8396c7b92f14b2b451542b1e479022461734ecd374c2 | MATLAB | 532 | 17 |
load('Fig2andSupplement_ripple_stats_SWR_TFR')
figure, shadedErrorBar(linspace(-1,1 ,4001),mean(group_level_stat_input.all_trace,'omitnan'), ...
std(group_level_stat_input.all_trace,[],'omitnan')./sqrt(sum(~isnan(group_level_stat_input.all_trace),1)) )
xlim([-0.5 0.5]), ylim([-30 40]),set(gca,'LineWidth',2)... |
9b99573041eca270f5d933ccbe2b0bdaf892d657df824c10f4d0998470e16050 | MATLAB | 533 | 20 | function direction = dir_tree(tree,options)
% -n unit direction vector
if nargin < 2
options = '';
end
idpar = idpar_tree(tree);
direction = zeros(numel(tree.X),3);
for n = 1:numel(tree.X)
direction(n,1) = tree.X(n) - tree.X(idpar(n)); % node to parent node differences
direction(n,2) = tree... |
2d8b36f56a9d5379f1bf90a1a6484ee69ebc233c58118da89c0b7d4ba006897c | MATLAB | 538 | 12 | function DataTable = createRFsTable(rfArray, stimParamString)
degPerBar = 2;
relativePosition = degPerBar * (1 : size(rfArray, 2));
dataCell = mat2cell([relativePosition; rfArray], ones(1, size(rfArray, 1) + 1), ones(1, size(rfArray, 2)));
labelColumn = [stimParamString; sprintfc('ROI%d', (1: size(... |
827531f2e7bebe189fcd3b776b2de2203c775a01e4c0a6366e807da2d1369250 | MATLAB | 538 | 21 | function gURL = returnProjectGitHubURL
% Return the URL of the project on GitHub
%
% gURL = zapit.updater.returnProjectGitHubURL()
%
% Purpose
% Return the project's GitHub URL as a string without leading "https://" or "www"
%
% Inputs
% none
%
% Outputs
% gURL - String c... |
91ae01ce43e17f757ad03ff8517bb2910c692d55dd5a3907da6db469388c0b8b | MATLAB | 538 | 13 | function [ filtered_neuron_firing ] = filter_neuron_firing( neuron_firing )
%FILTER_NEURON_FIRING Post processing of the neuronal firing data
% Binarize the data of the number of spiking per time frame (any number of
% spikes is equal to binary True)
filtered_neuron_firing = 1.0 * (~~neuron_firing);
% ... |
12c882a160502d13962093f62c8d35b740c9dfd17e91c2da05b9f79666c4345b | MATLAB | 539 | 20 | %% check_root_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
root_tree (tree, 'none');
end
end
%% test 2
root_tree (sample_tree, '-s');
tprint ... |
bc1c921aeca0a06458d0558a03f0be93a47a5d3a48ea6e564cee68016a66d33f | MATLAB | 539 | 16 | function figureS7(dataFolder)
if(nargin<1)
error('Path to data required as input argument. Data can be downloaded from link in README file.');
end
% Add paths for function execution
myPath = mfilename('fullpath');
basePath = fileparts(fileparts(myPath));
addpath(fullfile(basePath,'auxiliary'));
addpath(fullfile(b... |
f2412a518d4762e8f065cd32210e53ee423c4d9057b3c2391bae8883d409af92 | MATLAB | 539 | 21 | %% check_typeN_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
typeN_tree (tree);
typeN_tree (tree, '-bct');
end
end
%% test 2
typeN_tree (sample_tree, '-s -bct');
tprin... |
a4f94cb2f6a2208d559d7ef787276d426e2dfa4e9fcb5dab4e736ff9f8e8298b | MATLAB | 540 | 19 | function [W_NBS, Clist_NBS, CID] = NBS(Wp, threshhold_NBS)
% a simple implementation of the network-based statistics
% Chuan
Wp_NBS = Wp;
Wp_NBS(Wp_NBS<threshhold_NBS) = 0;
% Wp_NBS(Wp_NBS>=threshhold_NBS) = 1;
% find Connected graph components
[Cindx,comp_sizes] = conncomp(graph(Wp_NBS));
[CID, C_size] = s... |
0b8c88ba487d15e8ebff3fec5ef14e78f0ff956d1c93f2c904809dc5b1645336 | MATLAB | 541 | 16 | function figureS8(dataFolder)
if(nargin<1)
error('Path to data required as input argument. Data can be downloaded from link in README file.');
end
% Add paths for function execution
myPath = mfilename('fullpath');
basePath = fileparts(fileparts(myPath));
addpath(fullfile(basePath,'auxiliary'));
addpath(fullfile(b... |
7862a1e778b4e3389af5cfb3536fb13fdfabf1bbebc35ddda5e7524df69a2db3 | MATLAB | 541 | 9 | function [StimSubsetTable, stimRowIndCell] = getStimSubsetTable(PathStimTable, stimSetCellStr, stimInd)
%% This function gets a pathStimTable and a cell of stimuli name strings and a
% index to the cell of stimuli to retrieve the matching table entries of the
% given stimulus. This also works for extracting cycles ... |
7f9b443b2aeaa0880a0d0f9e2a79428c9b5573fe6e54d85ad3d0dfb748ff962f | MATLAB | 543 | 16 | function figure2(dataFolder)
if(nargin<1)
error('Path to data required as input argument. Data can be downloaded from link in README file.');
end
% Add paths for function execution
myPath = mfilename('fullpath');
basePath = fileparts(fileparts(myPath));
addpath(fullfile(basePath,'auxiliary'));
addpath(fullfile(ba... |
703163778a9ffd76b8b7b6649192f6b66d20a228259ffa64a87d6b6c6b940192 | MATLAB | 548 | 14 | %% Set the path for the external toolbox folder and add it to MATLAB search directory
%% Determine location
pathappend = '/rds/project/tb419/rds-tb419-bekinschtein/Sri/'; %'/work/imagingQ/'
%% Add paths now..
%TDT toolbox path
tdt_toolbox = [pathappend 'SpatialAttention_Drowsiness/Scripts/toolboxes/TDTMatlabSDK'];
ad... |
d20385ed41a7bfcec047a3373b46ebffeae5f27fbf3507a79f6a1e2b4d44cd30 | MATLAB | 548 | 13 | % Example callback function for analog input logging.
% This funcion is called once the number of acquired time points exceeds
% src.NotifyWhenDataAvailableExceeds.
% The latest analog input data will be written to the log .csv file.
% Use plotLogFile() to view the logged data.
function logAIData(src, event, filename... |
3e5579ed615dea260a843016c1289d0da944af2c16372e775cf6f229934a3d77 | MATLAB | 549 | 22 | function [All, outVars] = calcOSI(All, outVars)
% settings
numExps = numel(All);
assert(isfield(All(1).out.anal, 'oriCurve'), ...
"No ori curve, can't calculate OSI.")
for ind = 1:numExps
curve = All(ind).out.anal.oriCurve;
[~, po] = max(curve, [], 1);
curve(:, po==1) = nan;
curve(1,:) = [];
... |
98c57636877bf3c19e81cfb681f5f59a8b7120d9790a0f89c782e2542a5c1d2b | MATLAB | 553 | 13 | function MRSIStruct = op_CSICombineTime(MRSIStruct, dimensionLabel)
newTimeLength = prod(getSizeFromDimensions(MRSIStruct, {'t', dimensionLabel}));
[MRSIStruct, prevPermute, prevSize]= reshapeDimensions(MRSIStruct, {'t', dimensionLabel});
data = getData(MRSIStruct);
data = reshape(data, newTimeLeng... |
12bba9042496a062370ee99386f3417e8d95fb7d3fcfba6674da8e09600ebd60 | MATLAB | 554 | 21 | function LK_ReportMeanAndSEM_20220322(msg, data)
%
% LK_ReportMeanAndSEM_20220322 reports the mean and standard error of the
% mean of an input vector.
%
% Use as:
% LK_ReportMeanAndSEM_20220322(msg, data);
%
% Input:
% msg --> message;
% data --> data as n x 1 vector.
%
% Lukas Kunz, 2022
% compute mean an... |
abef68f1af7bb37f5ffe9c3fb453fb6b66a2fe1c9bc4e68e25667f8dc896ef52 | MATLAB | 555 | 24 | function DT= tableSumHRF(hrfTable)
DT=[];
rois = unique(hrfTable.name);
for s = unique(hrfTable.subj)'
for r = 1:length(rois)
params.subj=s;
params.name=rois(r);
newDT = tableFilter(hrfTable,params);
tmpDT = [];
tmpDT.subj = params.subj;
tmpDT.name = params.... |
7d9dbccb2d7bc373a6e4b6e387aa20d4af035cc284b6525788a7363f825ae7d9 | MATLAB | 557 | 18 | function [A,lambda] = convert_parameters(P,fitType)
% Converts parameters used for fitting into parameters reported in paper
if(strcmp(fitType,'eq5'))
A = 10.^P(3);
lambda = 10.^P(3)*exp(P(2));
fprintf('A = %f\n',A);
fprintf('l = %f\n',lambda);
fprintf('tau1 = %f\n',P(1));
elseif(strcmp(fitType,'eq6... |
5ca6554bf2a7b3bc34f053e41d2e5ced718ac7e167311bba4a955531a56d563b | MATLAB | 559 | 22 | % Plot a given .csv log file.
% Returns the timestamps and data.
function [time, data_AI] = plotLogFile(filename, prompt_user)
if nargin ~= 1
if nargin > 1 && prompt_user
[name, path] = uigetfile([filename '/*.csv']);
else
[name, path] = uigetfile('*.csv');
end
if length(path) == 1
... |
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