sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ee110ad41dfc859ec440c32ccff0c322c2dd40559442a9925890a7a3a7b31886 | MATLAB | 1,140 | 38 | addpath('C:\home\Data\4AshO')
D = spm_eeg_load()
MNI_roi = [40 -20 40];
trans = D.inv{1}.forward.fromMNI;
head_roi_ctf = spm_eeg_inv_transform_points(trans,MNI_roi); % CTF co-ordinates
fid = D.fiducials;
fid = ft_convert_units(fid, 'm');
%Mc = spm_eeg_inv_headcoordinates(fid.fid.... |
0b04baec092a375c1bee72fb2c6a1a5182e40ab486758eae8bb9045172f72a39 | MATLAB | 1,141 | 41 | function all_results = pSVR_load_results(p, suffix)
% function all_results = pSVR_load_results(p)
%
% Load pSVR results of all participants.
%
% Input:
% - p: Structure with analysis parameters.
% - suffix: Suffix to append to the filename.
%
% Output:
% - all_results: structure with result measures of all parti... |
95535d05c19aeae848ab0e266a52821513dd13e28db8e1a26e229e819afe2f86 | MATLAB | 1,141 | 44 | function datwrite(filename, x, t)
%DATWRITE Write data to ascii file.
%
% Description
%
% DATWRITE(FILENAME, X, T) takes a matrix X of input vectors and a
% matrix T of target vectors and writes them to an ascii file named
% FILENAME. The file format is as follows: the first row contains the
% string NIN followed by th... |
ec55d2f2119cfbc728fdfa74abac38b362b775a66b9b5d7ba98858d3723f895f | MATLAB | 1,141 | 35 | function updateQA(slidePath)
% Update QA structure with missing fileds
% Written at Oct 10, 2020.
%% Load Data
if ~exist('slidePath','var')
slidePath = [s3SubjectPath('16','LE') 'Slides/Slide07_Section01/'];
end
slideConfigPath = [slidePath 'SlideConfig.json'];
slideConfigJson = awsReadJSON(slideConfigPat... |
1e05cbece1a89d1d6ccafb4a538e3135006ad64cac0055243416accafb533897 | MATLAB | 1,143 | 28 | %% 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/tbi_sch1000/';
input_path='/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/timeseries/inputs_sch1000... |
20f67e584114a3ea2780135247529f8048fcea57786660bd4a886da64ef2e6bf | MATLAB | 1,143 | 42 | function [newpat] = apply_zscore(pat, varargin)
% Z-score a pattern.
%
% [NEWPAT] = APPLY_ZSCORE(PAT, ...)
%
% Used in conjuction with apply_to_runs.m. Z-scores a given
% pattern.
%
% Arguments:
%
% USE_MVPA_VER (optional, default = false) Use the MVPA toolbox's
% zscoring instead of Mathworks, if you lack the statis... |
7d967a6f9d93cb20f8c48648c8aa1f5c5123bb3d75adb07f47bb6ad72d0ca675 | MATLAB | 1,145 | 33 | function [g, gdata, gprior] = mlpgrad(net, x, t)
%MLPGRAD Evaluate gradient of error function for 2-layer network.
%
% Description
% G = MLPGRAD(NET, X, T) takes a network data structure NET together
% with a matrix X of input vectors and a matrix T of target vectors,
% and evaluates the gradient G of the error functi... |
ee82b261070255c1393b987917847005afbe9da4e0b2624b224972b4ca4abef8 | MATLAB | 1,145 | 59 | function PhaseMap = PhaseMap(X,Y,ph)
%peyrache 2007, beta
times = Range(ph);
phase = Data(ph);
[occH, xbin, ybin] = hist2d(Data(X), Data(Y), 200, 200);
PhaseMap = zeros(length(xbin),length(ybin));
phH = zeros(length(xbin),length(ybin));
for j=1:length(ph)
t = times(j);
x = Data(Restrict(X,t));
y = Data(Restric... |
5df6342d48d9957f807feca4b323150401ed18100d6fd47d397fbb4b581625da | MATLAB | 1,146 | 37 | function [subjectPaths,subjectNames] = s3GetAllSubjectsInLib(lib)
% Get path to all subjects in lib, don't specify lib to use the default
% If lib is cell, will get all subjects in all libs described in the cells.
if ~exist('lib','var')
lib = '';
end
%% Nested calls
if iscell(lib)
subjectPaths = [];... |
aecbcf7780d4c4c27445319a3f5ff1ca2628572207815240729365f71e344295 | MATLAB | 1,146 | 52 | function [x,mx,sx] = standardise(x,dim,lim)
% X = STANDARDISE(X, DIM) computes the zscore of a matrix along dimension dim
% has similar functionality as the stats-toolbox's zscore function
% Copyright (C) 2009, Jan-Mathijs Schoffelen
%
% Subversion does not use the Log keyword, use 'svn log <filename>' or 'svn -v log... |
744f390a9872d7f48d89f0e5351cf5ffd0bdf62983c1ea88f78e522f16ec65ed | MATLAB | 1,148 | 42 | function [subj] = remove_group(subj,objtype,groupname)
% Removes an entire group's worth of objects permanently
%
% [SUBJ] = REMOVE_GROUP(SUBJ,OBJTYPE,GROUPNAME)
%
% Will delete the objects from the SUBJ cell array - NOT RECOMMENDED
% License:
%=====================================================================
%
%... |
c1bb6edc2a56ff953c0cf5ab03114fb6756ec502761b72120af51b85d51afce0 | MATLAB | 1,148 | 31 | function [First_PostStim_PeakFrame] = Peak3STD(FluorescenceTrace,StimFrame, BaselinePeriod)
%Peak3STD finds the frame of the 1st peak greater than or equal to 3STD
%above the baseline mean following a stimulation
% Michelle Cahill 20211005
% FluorescenceTrace:
% StimFrame: a number n. Find the first peak at o... |
4735b35879380deeccc95bb264ecfd544b070c80f44cddb2c5d8280966c84487 | MATLAB | 1,149 | 44 | function [triplets_freq, triples_table] = spike_triplets(S, time_span)
%% [triplets_freq, triples_table] = spike_triplets(S, time_span)
%
% computes a frequency table for all the spike triplets that occur
% within time_span
% INPUTS:
% S: a cell array of ts objects, containing spike trains
% time_span: the maximum d... |
d9ae3d34e8228313d62df72d03bf0994c7161f555af33f8301087f91c00b905c | MATLAB | 1,149 | 39 | % *WAVE*
%
% INSTANTANEOUS FREQUENCY TEST unit test for the instantaneous frequency
% calculation
% 13 january 2016
%
clear all; clc %#ok<CLSCR>
% parameters
dt = .001; T = 1; frequency = 3; phase_angle = 0;
% generate data
time = dt:dt:T;
xf = cos( 2*pi*frequency*time + phase_angle );
% analytic signa... |
e8a9c764888e65be9f19ad1b404a9b30f5235d4570edd11cde7a9447a1a2cd49 | MATLAB | 1,149 | 43 | function [ind] = vec2ind_inclrest(vec)
% Like vec2ind, but deals differently with 0s
%
% [IND] = VEC2IND_INCLREST(VEC)
%
% See the builtin VEC2IND function for more information. This takes
% in a matrix, and tells you where the 1 is for every column.
%
% Useful for figuring out which condition is active in your binary... |
e68033b7f0fc3567c872f9f843967c167584bec4051afe54ceeca245c08092d7 | MATLAB | 1,151 | 41 | function [y] = ste(x,dim)
% Calculate the standard error of the mean for X.
%
% [Y] = STE(X,DIM)
%
% Matlab doesn't have a standard error function, but it's easy
% enough to calculate. ste(x) = std(x)/sqrt(n) where n is the
% number of samples.
%
% If you don't specify DIM, it will run on the first
% non-singleton dim... |
094cd7108b98949c76c3a9e1406c7d4560a5de309856ee35084166f5d2008047 | MATLAB | 1,152 | 53 | function R = cat(varargin)
% Concatenates IntervalSet objects
%
% USAGE
% R = cat(O1, O2, ..., On, shift)
%
% INPUTS:
% O1, O2, ..., On - intervalSet objects to be concatenated
% shift - (optional) a ts object of times each intervalSet object get shifted of
% before merging
%
% OUTPUT:
% R - ... |
366bddbfa4beb2189e3c7bcc5b1dff58f4820c34a7a7c3633491f75554bd409f | MATLAB | 1,152 | 44 | function is = thresholdIntervals(tsa, thr, varargin)
% Returns intervals in which a TSD is above (below) threshold
%
% USAGE:
% is = thresholdIntervals(tsa, thr, OptionName, OptionValue)
%
% INPUTS:
% tsa - a tsd object
% thr - a threshold value
%
% OUTPUTS:
% is - the intervalSet of the times... |
8ab7cc46b06f34b40db4015508664c2f3e02ab9a2f4feca3f269e29b70d6225c | MATLAB | 1,152 | 41 | function gfcd(subj, varargin)
dire='/abcd_collection3165/derivatives/abcd-hcp-pipeline/';
cifti=cifti_read([dire subj '/ses-baselineYear1Arm1/func/' subj '_ses-baselineYear1Arm1_task-' task '_bold_desc-filtered_timeseries.dtseries.nii']);
s=size(cifti.cdata);
censor=load([dire subj '/ses-baselineYear1Arm1/func/' sub... |
87e1571853f05d3eaa16aaa8c9e44a7a2a028b8af4866568490ecaf217481378 | MATLAB | 1,154 | 49 | %% CLEAR AND INITIALIZE
clear
close all
clc
source_dir = 'E:\NAS_SD\SuiviClient\Triffilieff\AnnaRoman\DataAnna\Traitement DOX';
dest_dir = 'E:\NAS_SD\SuiviClient\Triffilieff\AnnaRoman\DataAnna\Traitement_DOX_';
if ~exist(dest_dir)
mkdir(dest_dir)
end
listing = dir([source_dir filesep '*.avi'])
for i=3:size(lis... |
8d544c47e78680873c9e89d30770c99ec1258c91f0190167bb415325a5a884d6 | MATLAB | 1,155 | 25 | function [tpr, tot] = match_neurons_with_correspondences(neurons_identified, correspondences)
% Iterate through each neuron name
tot = length(neurons_identified.name);
tp = 0;
for i = 1:length(neurons_identified.name)
currentName = neurons_identified.name{i}{1};
% Search through th... |
52a59785a30c469e1bbbe3a8bb1ff3d61203026299918fc700cf7f6aca728912 | MATLAB | 1,156 | 34 | function histologyInstructionsEmptyDistanceFromFullFaceToOCTOrigin(subjectPath)
% This function finds places where distance from full face to oct origin is
% empty in histology instructions and fill up the gap such that distance is
% such that center slice will be at OCT center.
% Written at Feb 28, 2020.
if ~ex... |
9ab1591e1b8f304cdd02bbf7660aebc1d305d95f6a36ecbb4b93a33b6028004a | MATLAB | 1,160 | 47 | function [v] = var(x, normalizeflag, dim, flag)
% [V] = VAR(X, NORMALIZEFLAG, DIM, FLAG) computes the variance,
% across all cells in x along the dimension dim. Normalizeflag = 1 normalizes
% by N, normalizeflag = [] or 0 normalizes by N-1.
%
% X should be an linear cell-array of matrices for which the size in at
%... |
e7e21eaccbc3ed6ae39d74cc41055d274315f6adf811aea6d4add5cf5bf0614b | MATLAB | 1,160 | 35 | function this = isivAnalysis(this)
%ISIVANALYSIS Perform nonparametric ISIV analysis on an ACTI object
%
% $Author: Peng Li
% $Date: Jun 15, 2020
%
period = this.ISIVInfo.PeriodInHour;
epoch = this.Epoch / 60; % in min
cycle = this.ISIVInfo.FixedCycles;
x = this.Data;
x(this.GapSeries) = nan;
... |
41768e72245a49fabe1247be69303d7a4c227fff560b1ba08dd017ea0f095328 | MATLAB | 1,161 | 40 | function g = glmderiv(net, x)
%GLMDERIV Evaluate derivatives of GLM outputs with respect to weights.
%
% Description
% G = GLMDERIV(NET, X) takes a network data structure NET and a matrix
% of input vectors X and returns a three-index matrix mat{g} whose I,
% J, K element contains the derivative of network output K wi... |
5e59481d783ffa1a16c16efc13d5e74db1045d0d20f893003693f3ffca110447 | MATLAB | 1,161 | 51 | function up_idx = eventedgefinder(data,threshold,fs,minStateLength,mingap,up,Num)
if size(data,2)==1;data=data';end
Wn = [(4000/(fs/2))];
[B,A] = butter(2,Wn);
data = filtfilt(B,A,data);
switch up
case 1
A=find(data>threshold);
idx= find(diff(A)~=1);
start_idx = [1 idx+1];
end_id... |
d4a27ddb7d31bdfa9ed2ec97749b9e40f8aade19325a565d2595f759dd691148 | MATLAB | 1,161 | 47 | function g = mlpderiv(net, x)
%MLPDERIV Evaluate derivatives of network outputs with respect to weights.
%
% Description
% G = MLPDERIV(NET, X) takes a network data structure NET and a matrix
% of input vectors X and returns a three-index matrix G whose I, J, K
% element contains the derivative of network output K with... |
f60613d0907e8cdc973da43e6cc8b78bce5298161e54d27b48459281b366b7b9 | MATLAB | 1,161 | 31 | function cdf_plot(val, linecolors, XLABEL, TITLE, LEGEND_LABELS)
% cdf_plot takes an array of values and calculates the cumulative
% probability of that parameter. MC 20201217
% val: 1xn cell array of where each column of the cell array holds the
% values to calculate the CDF for a single condition
% linecolors: n... |
15996c7e9da9bbfff2a608e3e0410388cb389015d1658d30704e48d98398fee9 | MATLAB | 1,162 | 40 | function recomputeSlideAlignment(slidePath)
% This function recomputes slide alignment
% Written at Jan 25, 2020.
%% Load Data
if ~exist('slidePath','var')
slidePath = [s3SubjectPath('04','LE') 'Slides/Slide03_Section02/'];
end
slideConfigJsonPath = [slidePath 'SlideConfig.json'];
jj = awsReadJSON(sli... |
672e8fc556b1901a6f042031e807ab72e255b967fbceaf302993264530c8e82b | MATLAB | 1,162 | 48 | function MatNew = transSegGap(MatOld, Length)
%TRANSSEGGAP Transform a matrix of segment/gap to a matrix of gap/segment
%
% Length specifies the total points of the corresponding signal
%
% $Author: Peng Li, Ph.D.
% MBP, Div Sleep Med, BWH &HMS
% $Date: May 4, 2016
% $Modif.: Feb 28, 2017
% ... |
b6f3abdcfe1fb7ef62587d3185efb06e17c2f4e8f65dd11143de4dfb5b2f5b40 | MATLAB | 1,162 | 35 | function z = findzero(v,varargin)
% FINDZERO finds vector of zerocrossings in a velocity-vector
% Synopsis
% out = findzero(v,threshold,window)
% Description
% findzero(v) takes a velocity vector and searches for all zerocrossings
% If a movement stops (like in tapping, the zero-crossing is looked at as two:
% a... |
9657a3111640912a24be308bdc644fd3d99a6947953f38e87075aa8f81f1fb0b | MATLAB | 1,164 | 46 | function [matches] = find_group(subj,objtype,groupname)
% Returns a list of names of objects from this group
%
% [MATCHES] = FIND_GROUP(SUBJ,OBJTYPE,GROUPNAME)
%
% Returns a cell array of the names of all objects within SUBJ of
% OBJTYPE object type that belong to group GROUPNAME
%
% Returns no names if groupname is e... |
7834d7cf2a9b03e87ab9a955c5ce044c4b10c587bd22cdf193fb6e3eb318c4a9 | MATLAB | 1,165 | 54 |
%% Add path
addpath(genpath('../../Ionnic Channel'),genpath('../../Tools'), genpath('../../Synapses'), genpath('../../Datas'));
%% Import data from neuron (FS)
dt = 0.01;
Vmem = -90:dt:50;
l_V = length(Vmem);
%% Matrix Initialization
T = zeros(1, l_V);
T_erro... |
292860877189379bd3d4ded31acc7a10c0a9a8bfff5f1d682154a37a03c7cb54 | MATLAB | 1,167 | 40 | function phases = splitDataToPhases(subjectNames)
% INPUTS:
% subjectNames - cell array with subject names
%
% OUTPUTS:
% phases - can be 0 train, 1 test
% Subject in training set
% LC,LD,LE,LF, Begining of LG - chronologically these are the first samples.
% LG-4x and LG-5x seems to fail often, so we add ... |
6ffcb75efa6811273eee261c041d4854914101c97e3a877f6235133cc3838e83 | MATLAB | 1,167 | 32 | function [xdx, xdy, ydx, ydy] = jacobian_matrix2d(vectorField)
% JACOBIAND_MATRIX2D Estimates the elements of the jacobian matrix
%
% function [xdx xdy ydx ydy] = jacobian_matrix2d(vectorField)
%
% INPUT ARGUMENTS
% vectorField - Vectorfield to estimate the Jacobian for
%
% OPTIONAL INPUT ARGUMENTS
% N/A
%
% OUTP... |
7d71f706373cfb940243a7a15afc20a93c11115372241d86aeb921ad64657666 | MATLAB | 1,167 | 34 | function net = netunpak(net, w)
%NETUNPAK Separates weights vector into weight and bias matrices.
%
% Description
% NET = NETUNPAK(NET, W) takes an net network data structure NET and a
% weight vector W, and returns a network data structure identical to
% the input network, except that the componenet weight matrices ... |
13f35d8cd2501d1ba382e203cac109e2eb5394244312d9e88a03d041d0b17ac5 | MATLAB | 1,169 | 34 | function popGeometry_plotSignalNoiseAxes2D(data, NperGroup, fBoundLine, signalVector_toUse, noiseVector1)
s1 = scatter( data(1:NperGroup,1), data(1:NperGroup,2),[],[244 225 129]/255,'filled');
hold on
s2 = scatter( data(NperGroup+1:end,1), data(NperGroup+1:end,2), [],[223 159 207]/255,'filled');
% plot decision boun... |
1c66f9f67281cccc64b117cfb212b38526f35c3d68f6ae591449388b755eac87 | MATLAB | 1,169 | 31 | function axh = PlotTS(S, varargin)
opt_varargin = varargin;
defined_options = dictArray({ { 'MarkerSize', {5, {'numeric'}}},
{ 'Marker', {'k.', {'char'} } },
{ 'OffsetShift', {1, {'numeric'} } },
... |
ba8dcb3f00b943bec8692f9d620c37e02afedcddbbdeb27a6b2308ac9f6218e0 | MATLAB | 1,169 | 57 | function shadePlot(x,y,e,color, alpha, Linewidth)
%plots line with shaded area. Inputs x, y, and e(i.e., error)
%need to be vectors of the same length. Color is [R G B].
if nargin == 4
alpha = 0.5;
Linewidth = 1;
elseif nargin == 5
Linewidth = 1;
end
%transpose input vectors if necessary
[nX... |
6f534c295986bb9cd5e66a3c0ae3f2a354dde5222a701c11f5d40830043baa5f | MATLAB | 1,170 | 52 | function in = inInterval(O, tsa, varargin)
% Tells whether points are contained in intervalSet (TODO)
%
% TODO: overlap with the belong function?
%
%
% in = inInterval(O, tsa, OptionName, OptionValue, ...)
%
% the data of the returned timestamp count the number of intervals in the
% intervalSet containing the poi... |
a28222f407e65cd525fabddc8533e10b8529b9e2176ae2f4936bc3a30b258dc1 | MATLAB | 1,170 | 46 | function [varargout] = bin_makeCorrIm(num_planes)
%UNTITLED6 Summary of this function goes here
% Detailed explanation goes here
ds_fac = 10;
if nargin < 1
num_planes = 1;
end
[f,d] = uigetfile({'*.bin' '.tif'},'Select movie');
mov = ImReader([d filesep f]);
stack = split_stack(mov,num_planes);
[nRo... |
c91c22c7b8b6157d30404a6ec67df56338b481282091d753f51eeef1cb1952f5 | MATLAB | 1,170 | 39 | function logs2labels(p)
for i_sub = 1:numel(p.subjects)
% Get subject ID
sub_id = p.subjects(i_sub);
% Get subject ID as string
sub_str = num2str(i_sub,'%02i');
try
% Get name of output file
label_dir = fullfile(p.dirs.data, 'analysis', ['sub-' sub_str], 'labels');
if exist(fullfile(la... |
18f2e31448bf76e8e5b198287fcdcde65f7078f9befbb3d4f22edcb09eb5d8cb | MATLAB | 1,172 | 21 | function model = lda_train(labels_train,data_train,cfg)
if isstruct(data_train), error('This method requires training vectors in data_train directly. Probably a kernel was passed method is use. This method does not support kernel methods. Check if cfg.decoding.method = ''classification'' '), end
switch lower(cfg.... |
868327348367e2fd934672f355d7f189f2cb1bc255d5012c2c72c2a92f9fcf53 | MATLAB | 1,173 | 32 | function t = tensorprodc(varargin)
% Do the heavy lifting for tensorprod.m. You can call this function directly
% but you had better know exactly what you do since it's implemented as a C
% mex function with no error checking whatsoever. If you make a mistake
% the whole Matlab process might crash.
%
% If you do call... |
3711001b1137579e216fb51991b762b1278c6d8bcedbe359da32ef1d5a8e4e3c | MATLAB | 1,174 | 47 | function lat = rateChangeControl(data,trailInxArray,curGroup,epoch,plotOption)
NUM_SETS = 8;
partitions = getNonOverlappingPartions(trailInxArray,NUM_SETS);
% get baseline
baseline_params.SD = 20;
baseline_params.align_to = epoch;
baseline_params.time_before = 500;
baseline_params.time_after = 0;
baseline_params.sm... |
a647890658d9e62fd04045d35dff44dba95f49f1944dc4b5bc16cc15cabb30f9 | MATLAB | 1,175 | 31 | %{
Copyright (C) 2023 N. Suhas Jagannathan
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 version 3 of the License, or
(at your option) any later version.
This program is distributed i... |
cd456030dd640ff43053a3b304944867f6fc2c3e80df5b27509e1eb33e24051f | MATLAB | 1,175 | 28 | function [ALIGNED_TRACES, AlignOnset2Frame] = AlignTraces_20211203(TRACES,OnsetFrame)
%AlignTraces_20211203 takes a matrix of fluorescence traces and the frame of
%some stimulus for each sample. Individual traces are aligned to the frame
%of the stimulus
% Michelle Cahill 20211203
% TRACES: matrix of fluorescence... |
d38b5e2b9c2ed0c675f31a9f6365c823926d552bf944bc2c415a5e9aa806259e | MATLAB | 1,176 | 32 | function boris_data = load_boris_aggregated_data(filepath, camera_TTL_raising_times)
% This function take a path to a boris csv file and return the headers
% of the columns in header_raw as well as all the data
eventTable = readtable(filepath,'Filetype','text','Delimiter','\t');
tableSize = size(eventTable,1);
timeGa... |
31e31cbf11e4055c4000d06c41aa98b04591223cde409be99bccfd6a92b8f64a | MATLAB | 1,177 | 31 | clear,clc
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This code was generated to plot the enrichment results
%
% Jin Liu
% 2022-8-11
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% set the file path
current_path = p... |
a7e3b6571bc59d23b089526ba153f93ed44fe872ee096d469bdf91c5d6969560 | MATLAB | 1,177 | 38 | function hf_basefit = plotBaselineResultsPair(K, I, conds, tts, head, target, hevel, PC, light, sines)
% Plot JR data & model before learning & get error
% Use with a pair of inputs K e.g. K1([1 11])
I.impulse_or_closedloop = 0; % Check with closed loop
% Plot data
hf_basefit = figure;
xpos_offset = [0 .1 .1 .2 .2];
... |
e7b57ad6448dbbef071ef8f1b75cba281d637a26749eb8827f69bb27edd15ff6 | MATLAB | 1,181 | 50 | function [fh, rasterAx] = Raster(S, TStart, TEnd, varargin)
font_name = 'Arial';
font_size = 10;
font_weight = 'bold';
line_width = 2;
opt_varargin = varargin;
defined_options = dictArray({ { 'BinSize', {10, {'numeric'}}},
{'LineWidth', {1, {'numeric'} } },
... |
9cccb30cb8482ff581ee32e1e9c05714bb5b848dc1e64c27f4501e722b3b608e | MATLAB | 1,182 | 62 | function [M,dt] = JPETH(T1,T2,Tref,bin,win,varargin)
% USAGE:
% [C,B] = JPETH(T1,T2,Tref,bin,win,options)
%
% T1,T2 : tsd from whom JPETH are drawn
% TRef : tsd represneting the common reference for T1,T2
% bin : larger of bins (in ms)
% win : numbers of bins
% Option:
% 'LastSpk' : take for T2 only the nearest even... |
555d4fdb21256bf88de97d2c2887840355f49f9c5d2e13376f220e788466ae09 | MATLAB | 1,183 | 54 |
%% Add path
addpath(genpath('../../Ionnic Channel'),genpath('../../Tools'), genpath('../../Synapses'), genpath('../../Datas'));
%% Import data from neuron (FS)
dt = 0.01;
Vmem = -90:dt:50;
l_V = length(Vmem);
%% Matrix Initialization
Bv = zeros(1, l_V);
Bv_er... |
930216269c9b625cf2795483b8fe4d4ca70154180e9dfea1fa4b47b6f190e6c6 | MATLAB | 1,187 | 45 | function [wx,g]=winsample(x,percent)
% function [wx,g]=winsample(x,percent)
% returns the winsorized sample of x as wx
% returns number of winsorized observations at each tail of sample as g
% x must be a vector
% percent must be between 0 and 100; the function converts the lower and
% upper extreme g values of x to x... |
18e0bd0d4c821cf628268ba23f5f100b884d24d61a2021ac01db37680610c08c | MATLAB | 1,188 | 39 | load leadfield
L = cat(2,leadfield.leadfield{:});
L1 = L(:,1:2:end);
L2 = L(:,2:2:end);
cd ~/matlab/misc
C = vol2connmat(leadfield,6);
C = C(leadfield.inside,leadfield.inside);
inside = find(leadfield.inside);
% this is good enough to get the maximum correlation of neighbour leadfield
% components (although the opt... |
60b97d72d7dac5736b3a63019b1eb7b1134e9b4f71278dfe9301fbc53a502617 | MATLAB | 1,188 | 32 | function boris_data = load_boris_aggregated_data(filepath, camera_TTL_raising_times)
% This function take a path to a boris csv file and return the headers
% of the columns in header_raw as well as all the data
eventTable = readtable(filepath,'Filetype','text','Delimiter','\t');
tableSize = size(eventTable,1);
timeGa... |
ab54b375846a3d22bda09a94ae30b5560f76893870bcb0171b07c81a434424d9 | MATLAB | 1,188 | 32 | %
% plot raster and PSTH with multiple alignment points
%
% prepares the data appropriately and then calls plotSpikeRasterMain
%
%urut/MPI/may11
%
function spikesToPlotAll = plotSpikeRaster_multiple( spikesOfGrp, offsets, limitRange )
%offsets: offset to previous group, in s
%limitRange: one row for each group, from... |
ac23837339ef49bf44d60de6ba75ec6bb7aa3c824aad3b39734f6a1c26bb408e | MATLAB | 1,188 | 38 | clear
[task_info,supPath] = loadDBAndSpecifyDataPaths('Vermis');
req_params.grade = 7;
req_params.cell_type = 'PC|CRB';
req_params.task = 'saccade_8_dir_75and25';
req_params.ID = 4000:5000;
req_params.num_trials = 50;
req_params.remove_question_marks = 1;
lines = findLinesInDB (task_info, req_params);
cells = findPa... |
dd485aa97430ace76fc4cb8cfc639fa195ff07e513b23e762e849a7f7f697e11 | MATLAB | 1,188 | 43 | %% Plots V4 noise correlations (MI) in cue epoch at cued and cue-opposite locations
%% Code
load('V4_rsc_MI.mat')
cue_onset_win = [500 2500]; epoch = num2str(cue_onset_win(1))+"_to_"+num2str(cue_onset_win(2));
plot_flag = 1; % to plot or not to plot
for bin_flag = 12 % > 5 spikes/s geometric mean
trial_typ... |
13900699aff8cb4d1409f6fdd710120166189b80e54451b009e0bbb47513c684 | MATLAB | 1,189 | 38 | function [trimmedMean,g]=tm(x,percent)
%
% function [trimmedMean,g]=tm(x,percent)
%
% Returns the trimmed mean of x as trimmedMean.
% returns number of winsorized observations at each tail of sample as g
% x must be a vector
% percent must be a number between 0 and 100
% The trimmed mean is calculated from x after drop... |
83dda5832f503ecf4f2ee2725fb67c1d9ad87cdd3fdb897bb408241528938faa | MATLAB | 1,189 | 42 | function [fig, traces] = plotThr(Thr,uMF,mice,Color,LineStyle)
% PLOTTHR plots the threshold of the mice against modulation frequencies
%
if nargin < 5; LineStyle = []; end
if nargin < 4; Color = []; end
freqLim = [2, 4000];
thrLim = [-33, 0];
fig = gcf;
ax = gca;
if (~isempty(Color))
... |
074d5e7452ffd9c5ba705819248e7e9dff4ff7b7b02c03ea6aaeb258607bb8f2 | MATLAB | 1,190 | 27 | % @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_mV3= simplified_mV3(v, mpre, dt, Vt)
% minf = 0.5029*tanh(1.942+0.075*v)+0.4972;
% minf = (0.00... |
abe8c6be4be55530559f4ebe01c3d7b91b3faae4574d2ac610a338d48a5561cf | MATLAB | 1,190 | 46 | function [pairs_freq, pairs_table, pairs_ts] = ...
spike_pairs(S, time_span, on_same_tet)
%% [pairs_freq, pairs_table] = spike_pairs(S, time_span)
%
% computes a frequency table for all the spike pairs that occur
% within time_span
% INPUTS:
% S: a cell aray of ts objects, containing spike trains
% time_span: t... |
e6333b80eeaf72f13b48a8da545c00b9f5f0a21bbbe6e7f012568c0785a20411 | MATLAB | 1,192 | 45 | function [subj] = set_group_as_matrix(subj,objtype,name,mat,varargin)
% [SUBJ] = SET_GROUP_AS_MATRIX(SUBJ,OBJTYPE,NAME,MAT, ...)
%
% Use DUPLICATE_GROUP, grab the GROUP_MAT, modify it, and then
% SET_GROUP_AS_MATRIX.
%
% xxx - i couldn't decide on an elegant way to deal with the
members = find_group_single(subj,obj... |
599d316cdf5cc6470a7e3e4f0ec770978da882f5d3a0b1fcce8e777f85a37a23 | MATLAB | 1,193 | 68 | function snirf = TsvFile2Snirf(src, dst, option)
snirf = SnirfClass();
% Parse args
if nargin==0
return
end
if ~exist('dst','var')
dst = '';
end
if ~exist('option','var')
option = 'nofile';
end
if ischar(src)
tsv = readTsv(src);
else
tsv = src;
src = '';
end
if isempty(tsv)
return;
end
if... |
cfb8dec62293ecfaf8d0d2f464eb86139d370f7720c380cefebcdf0428c41aa9 | MATLAB | 1,194 | 38 | function field = field_composition(field, N)
% function field = field_composition(field, N)
%
% N compositions of the provided field.
%
% INPUT ARGUMENTS
% field - Field to compose
% N - Number of compositions to perform
%
% OPTIONAL INPUT ARGUMENTS
% N/A
%
% OUTPUT ARGUMENTS
% field - Composed field
% Copyrigh... |
465d82e4d6c588a7edef060226ce68d88fd933ba38a32943742dba73d3dddd3b | MATLAB | 1,195 | 44 | %% Create spectograph of raw data from a directory input for WELLS
% source: http://www-users.med.cornell.edu/~jdvicto/pdfs/pubo08.pdf
%incomplete program
clear
clc
parent_dir="D:\Brewer lab data\HFS\No Stim\Wells_5SD_500maxSD";
cd(parent_dir)
spike_dyn=load('well_spike_dynamics_table_nostim.mat');
spike_dyn=spike_dy... |
6323446361f60e8cbb17ec4b9e8dd7bf1c9314dd88658fb3b2842a9797294090 | MATLAB | 1,195 | 32 | function [C_theta, C_bin ] = center_of_mass(data,binNum)
%Compute Center of Mass in circular tracks
% data - binned neuronal activity of one cell, single column or row array
% data - must be N *1 or 1 * N array
% binNum - N
% C_theta - theta position of COM reported as radius values, ranging from 0 to 2*pi
% ... |
d54699beb3236a3c41c44af01fcae47f91c7000494dc6ab787f66334820c9896 | MATLAB | 1,195 | 34 | function [labels_psvr, labels_rad, missing] = pSVR_prepare_labels(labels)
% function [labels_psvr, labels_rad, missing] = pSVR_prepare_labels(labels)
%
% Prepare orientation labels for pSVR reconstruction. Labels are converted
% from degrees to radians and then converted into their sine- and cosine
% components which... |
98e50866caf2dfbc4be6dc076353b81f07888eebde61634a322b0856f3dac2f1 | MATLAB | 1,196 | 36 | %Produce aggregated ied table with variables of interest, and perform
%Poisson generalized linear mixed effects model.
%
%Different sections of this script produce statistical analysis for the
%effect of flicker on interictal epileptiform discharge counts.
%
%Script is designed to run in sections; see the comment head... |
c4eb2f7470e74ece8d2557691d2bf8d8615e90b9c61e9a323835637caaa0926e | MATLAB | 1,196 | 54 | function [lower,upper] = bootstrap_percentile(x, varargin)
dim = ft_getopt(varargin, 'dim', []);
nboot = ft_getopt(varargin, 'nboot', 1000);
alpha = ft_getopt(varargin, 'alpha', 0.05);
est = ft_getopt(varargin, 'est', 'trimmean');
if isempty(dim)
dim = find(size(x)>1,1,'first');
end
if ndims(x)>2
error('at... |
fd8daac017b91c9210ac84acd0932cb792f099a8fb5478881b6dc9366307ec51 | MATLAB | 1,198 | 39 | function [sd] = cellstd(x, dim, flag)
% [M] = CELLSTD(X, DIM, FLAG) computes the standard deviation, across all cells in x along
% the dimension dim, normalising by the total number of samples
%
% X should be an linear cell-array of matrices for which the size in at
% least one of the dimensions should be the same... |
0785af2de1943d4fee544958552ea003aa72a4765ef1735d008f2e8b3d97733b | MATLAB | 1,200 | 41 | function [v,c] = ldareg(x,y,gamma)
% [v,c] = ldapca(x,y,gamma)
% Implements regularized fisher's linear discriminant analysis
%
% x - N input samples [N,D]
% y - N binary labels {0,1}
% gamma - shrinkage constant [0,1]
[N,D]=size(x);
x=x';
% for each class of trials compute mean and covariance
tmpi = find(y); N1=le... |
70c0d02af52e1684c1706853b036a8bd9043cb7ba1546269d2372cf29826748e | MATLAB | 1,200 | 39 | function [val] = get_objsubfield(subj,objtype,objname,fieldname,subfieldname)
% Returns the subfield for this object
%
% [VAL] = GET_SUBFIELD(SUBJ,OBJTYPE,OBJNAME,FIELDNAME,SUBFIELDNAME)
%
% For instance, if you wanted to know which function created a
% particular object:
%
% function_used = get_objsubfield(subj,'pa... |
ef9d981d280d34762c6c1a24d32c88d211975d904dc8b293b32366a59dcbc716 | MATLAB | 1,201 | 35 | function A=imresize3d(V,scale,tsize,ntype,npad)
% This function resizes a 3D image volume to new dimensions
% Vnew = imresize3d(V,scale,nsize,ntype,npad);
%
% inputs,
% V: The input image volume
% scale: scaling factor, when used set tsize to [];
% nsize: new dimensions, when used set scale to [];
% ntype: Type... |
8208e22474956ef1fbdbd4d7f2ce1b9dc78b9798d6ccc71ab4328a7887fc9699 | MATLAB | 1,203 | 43 | function [y, b] = ME_preproc(y, b, c)
% _
% Data Pre-Processing for a von Mises Mixture Model
% FORMAT [y, b] = ME_preproc(y, b)
%
% y - an N x 1 vector of angles (domain: -pi <= y_i <= +pi)
% b - a scalar, the systematic error (usually mildly positive)
% c - a logical, indicating mean-centering (true by d... |
e66c9946166b3d12d74eab093f5a0a5fb283b7d5245cc160df8f18f4497c2f64 | MATLAB | 1,203 | 42 | function crit=get_criterion_for_avgLR(theta,ang,ctab,LR_Mean)
syms x
for loc = 1:4
cnt = 1;
% d' for angles with invalid trials
for iAng = 1:length(ang{2})
d(iAng,:) = theta(cnt:cnt+3);
cnt = cnt+4;
end
% d' for angles with only valid trials
for iAng = length(ang{2})... |
78ff29e69a5f0964ad5097698d19e4cb01168c9f8c85bd604d8f7cda42e3edcf | MATLAB | 1,204 | 58 | function [] = test_mem3()
% This is to test how well matlab will deal with memory for set_object
disp('Clearing and packing');
clear all
pack
subj.patterns{1}.mat = zeros(64,64,34,1000);
objcell = subj.patterns;
%disp('About to start mem_control');
%tic
%objcell = mem_control(objcell);
%subj.patterns = objcell;
%to... |
7a22a6b39cd20c62c56477d305b64a4d0c1f003225443a4cb018deb90f7b70b9 | MATLAB | 1,204 | 53 | function [tout, N] = classify(tsa, is, col)
% Breaks a TSD object in many tsds according to the value of data
%
% USAGE:
% [tout, N] = classify(tsa, is, col)
%
% INPUTS:
% tsa - a tsd object, with at most two-dimensional data
% is - an intervalSet containing the limits for the data: data falling in
... |
0b2e41854987947eb123b0ad8be289f84657435dd5f3c6e42eb055cfab56fbd5 | MATLAB | 1,205 | 47 | function [results] = add_results_history(results,hist_str,displayme)
% Adds a line to the results.header.history field
%
% [RESULTS] = ADD_RESULTS_HISTORY(RESULTS,HIST_STR,[DISPLAYME])
%
% Also creates the header field if it doesn't exist
%
% DISPLAYME (optional, default = false). If true, the HIST_STR gets
% echoed t... |
10bd72d38b66e79a73744ea05f048df78d3f7c740ec8553a8e458638d5e6e6bf | MATLAB | 1,205 | 41 | function xr = fss_sim_pSVR(x, Y, r)
% Prepare multitarget labels
x_sin = sin(x-pi);
x_cos = cos(x-pi);
label = mat2cell([x_sin, x_cos], ones(numel(x),1));
% Define TDT variables
chunk = sort(repmat(1:r,1,numel(x)/r))';
passed_data = [];
results = [];
% Set up cfg
cfg = decoding_defaults;
cfg.analysis = 'wholebrain';... |
a1dd86a782ea4a389fe57c78c074da34b7351c4a4d8787f6611ff7095b7cc087 | MATLAB | 1,207 | 39 | function net = rbfsetbf(net, options, x)
%RBFSETBF Set basis functions of RBF from data.
%
% Description
% NET = RBFSETBF(NET, OPTIONS, X) sets the basis functions of the RBF
% network NET so that they model the unconditional density of the
% dataset X. This is done by training a GMM with spherical covariances
% using... |
6bff2507d7db6971c83007ad5a1901184ac55d8547406aa7a47969d15a31ba94 | MATLAB | 1,209 | 45 | function [acts scratch] = test_svm(testpats,testtargs,scratch)
% Testing function for SVM
%
% [ACTS SCRATCH] = TEST_SVM(TESTPATS,TESTTARGS,SCRATCH)
%
% This is the testing function that fits with TRAIN_SVM. See that
% for more info
%
% This is part of the Princeton MVPA toolbox, released under the
% GPL. See http://ww... |
33bddb4c497675c65705799df1bf67b7cd60fc9fe456f3aab5ccffdf72d47b8b | MATLAB | 1,211 | 31 | function FigureA_NoImages(fileExportFolder, FigureAParams, imageA, vxMat, vyMat, relMat, thetaInDegrees, thetaInRadians)
xIdxA = FigureAParams.xIdx;
yIdxA = FigureAParams.yIdx;
imageAmasks = cell(1, length(xIdxA));
imageAshow = cell(1, length(xIdxA));
vxMatShowA = cell(1, length(xIdxA));
vyMatShowA = cell(1, length(xId... |
c9895257ca76a23cf1972734a9c4f37af46efce04a40389db16a7cc38eb2992f | MATLAB | 1,211 | 47 | % test converting points to velocity then back to points
x = [195.096333105737,194.955405196334,194.663678022051,194.215017373334,193.670286789166,193.133919589554,192.693213797366,192.357493645630,192.040205689616,191.599972385252];
y = [268.171978535190,267.272809375070,266.584601060447,266.071771201756,265.84192012... |
4392306cb8b2e4be25c7317bdce6083d5be209a5976838df4231e0073e3c0bf4 | MATLAB | 1,215 | 29 | function [ t1, t2, t3 ] = PointsMaxCurvature_4CoE_V2( Coefficients )
%% PointsMaxCurvature Find the frames of maximum curvature for a trace fit
%with a sigmoid curve (see createFit_sigmoid20210816) as described in
%Fedchyshyn and Wang, 2007. JPhysiology 581.2(581-602)
% Set the fourth derivative of the sigmoid eq... |
02ad1d4e168cc306971f64e8e61acd60a7708c231b02bda434b547c74ddc9c11 | MATLAB | 1,216 | 51 | function [F, df1, df2] = rmanova(x, percent)
% RMANOVA(X, PERCENT) performs a repeated-measures anova Omnibus test
% on the trimmed means, according to Wilcox section 8.1
%
% Input arguments:
% x = data matrix N observations x M repetitions
% percent = the amount of trimming
if nargin<2,
percent = 0.2;
end
%... |
b3ec82423c4f91ccd20bf229388f5c37e379a3ef59481e03014dc9e856e8024f | MATLAB | 1,219 | 43 | function [obj] = get_object(subj,objtype,objname)
% Return the entire object.
%
% [OBJ] = GET_OBJECT(SUBJ,OBJTYPE,OBJNAME)
%
% Can often be useful for peering inside a particular object. For
% instance, to view its innards of a pattern called 'epi_z', just
% type:
%
% get_object(subj,'pattern','epi_z')
%
% Technical... |
35b9af9285acd9d3c96be79467d38e5c8a8c2ee68f84b8cda71f8bcec0987d31 | MATLAB | 1,220 | 41 | function [xvals, yvals, color] = hintmat(w);
%HINTMAT Evaluates the coordinates of the patches for a Hinton diagram.
%
% Description
% [xvals, yvals, color] = hintmat(w)
% takes a matrix W and returns coordinates XVALS, YVALS for the
% patches comrising the Hinton diagram, together with a vector COLOR
% labelling the... |
78137ce0a524f23f9639e5bd0f445dbe0348f6d62c077ace5a0565f0c4d0df31 | MATLAB | 1,220 | 41 | function spacePETH = RasterSpace(S, phiG, TStart, TEnd, varargin)
opt_varargin = varargin;
defined_options = dictArray({ { 'RasterFraction', {0.7, {'numeric'}} }
{ 'BinSize', {10, {'numeric'}}},
{'LineWidth', {1, {'numeric'} } },
... |
88d95625fd1f3305d1dcfedc8c8b54caac18398a9da5d9115f95d9e9696a5194 | MATLAB | 1,221 | 37 | function g = mlpbkp(net, x, z, deltas)
%MLPBKP Backpropagate gradient of error function for 2-layer network.
%
% Description
% G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET
% together with a matrix X of input vectors, a matrix Z of hidden unit
% activations, and a matrix DELTAS of the gradient of t... |
f1c4f7a1e1c93c84fe0850dc364dca0b073013e442f2cd13e9b38498fb0f5cde | MATLAB | 1,224 | 39 |
function [varargout]=create_anat_model(fs_outputdir,anat_names_array)
%get atlas and set some parameters for mask:
atlas = ft_read_atlas([fs_outputdir '/mri/aparc+aseg.mgz']);
atlas.coordsys = 'ras';
cfg1 = [];
cfg1.inputcoord = 'ras';
cfg1.atlas = atlas;
%set some... |
4e05994f6263ee6056f574762aa7ab044d4525e73504fe1934800c97e2fc2288 | MATLAB | 1,225 | 42 | function [effectSizes, ts, low, pVals] = effectSizeInTimeBin(data,epoch,varargin)
MINIMAL_RATE_IN_BIN = 0.001;
low=0;
p = inputParser;
defaultPrevOut = false;
addOptional(p,'prevOut',defaultPrevOut,@islogical);
defaultVelocity = false;
addOptional(p,'velocityInsteadReward',defaultVelocity,@islogical);
defaultNumCorr... |
637faf5c60cd8acea2131d475c0f4b4396cf02f27c9bd46f1fb62072c4f3bd11 | MATLAB | 1,225 | 57 | clc
clear
cd 'G:\Fiber_Photometry\2022-123_D2CRE_D2GLUN2B_mPFC\2022-123_ANALYSIS_Script-V2\FR_Basline_indiv_-3k-05k--13k\2022-123_D2CRE_D2GLUN2B_mPFC_FR1-RL1_1secLPCS_ANALYSIS\RESULTS'
A=load('L1_press_IL3.mat'); %load le fichier .mat d'un Event/Group (par exemple, si tri en Event/Group/Session)
B=load('L1_press_S... |
32ef765a0abbcfaa41f00bf0a9160f4d1b29608f0e19e88ad34681df06de7e82 | MATLAB | 1,226 | 48 | function T = makeTikhonov(n, type, mask)
% n can either be the matrix length, or for 0th order, can be a vector of
% weights
% mask: mask out transitions
if ~exist('type','var')
type = 0;
end
if length(n)==1
weights = ones(n,1);
else
weights = n;
n = length(weights);
end
% Make tikhonov matrix
% Sum ... |
4b614c810e1031d0629549da96cd6f75e5a9efd00c5ca3770fde8446e3b3bfee | MATLAB | 1,226 | 50 | function [occupancy_map_sec,activity_map] = getActivityMap(x, y, dff_synchronized, bin_size, max_image_size_pix, video_freq_Hz)
% return an occupancy map in sec, the time spend in each bin
% (a square of bin_size^2 pixels in the video frame
occupancy_map = nan(max_image_size_pix/bin_size);
activity_map... |
db3f3cafd31ea904adaec3f62e8da733228a0829d68515ef8d0a400990e6c6e3 | MATLAB | 1,226 | 52 | function adj_p = fdr_bh(pvals, method)
s=size(pvals);
if (length(s)>2) || s(1)>1
[p_sorted, sort_ids]=sort(reshape(pvals,1,prod(s)));
else
%p-values are already a row vector
[p_sorted, sort_ids]=sort(pvals);
end
[~, unsort_ids]=sort(sort_ids); %indexes to return p_sorted to pvals order
m=length(p... |
5f00ef7e923d9b9209751dd5fb73ab7b8dfb530cdd857bda05204748e3643628 | MATLAB | 1,227 | 46 | function width = fwhm(x,y)
% function width = fwhm(x,y)
%
% Full-Width at Half-Maximum (FWHM) of the waveform y(x)
% and its polarity.
% The FWHM result in 'width' will be in units of 'x'
%
%
% Rev 1.2, April 2006 (Patrick Egan)
y = y / max(y);
N = length(y);
lev50 = 0.5;
if y(1) < lev50 % find inde... |
ccb231bdf22d51b805c59c9f0f73b861d8afa4e903f74b6cdd1b2cf9e781eedd | MATLAB | 1,227 | 35 | function h = CenteredNamedFigure(figname,figSize)
%CenteredNamedFigure Create and center a figure on the screen
% h = CenteredNamedFigure(figname,figSize)
%
%History
%
% 7/26/2002 bds wrote CenteredNamedSquareFigure as part of matwave package, D.R.Williams' lab
% 8/18/2002 bds removed square requirement-- pass... |
de0418db751531ff30c7c9a53660a9afa03c38cf20d6aae74d8ef786cd326c58 | MATLAB | 1,229 | 33 | function [d, dStd, t] = GetDataTimeSeries(handles)
global maingui
d = [];
dStd = [];
t = [];
showStdErr = GetShowStdErrEnabled(handles);
datatype = GetDatatype(handles);
if datatype == maingui.buttonVals.RAW
d = maingui.dataTree.currElem.GetDataTimeSeries();
t = maingui.dataTree.currElem.Get... |
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