sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
90b6444a414ac4bf6ccab986ea99fb5f8d74617d568fc2f29c57a39122b02bb1 | MATLAB | 1,584 | 57 | classdef DescendState < LogbookState
%DESCENDSTATE happens when a subject responded during a trial.
% Author: Lasse Osterhagen
properties (SetAccess = private)
ignores = 0
end
methods
function this = DescendState(evaluator)
this@LogbookState(evaluator)
end
function evaluate(this, ev... |
1ada7590a941b358b2efabe84a1b9217be9f95ee63452f62ea3c50f42ce4950b | MATLAB | 1,599 | 59 | classdef ArrayAOGenerator < AudioObjectGenerator
%ARRAYAOGENERATOR generates AudioObjects out of an array of AudioObjects.
% This is not much more than a container class implementing the
% AudioObjectGenerator iterator interface.
% Author: Lasse Osterhagen
properties (SetAccess = private)
% Container for all ... |
4bf2ee66e7941bf9d3f8b2126032d325d265cba18f2b949aac948ee9cd8b0329 | MATLAB | 1,613 | 62 | classdef TimeoutState < ExperimentState
%TIMEOUTSTATE - ExperimentState that interrupts the experiment for a
%certain amount of time.
% This ExperimentState is used to avoid that rewards are given after a
% negative reaction time and to avoid that multiple rewards are given after
% a correct response.
% Author:... |
65fbea04f295d90b8b01f366b2e15c0833368106965b7060267beb7a37ee712e | MATLAB | 1,613 | 59 | classdef ReadyDebounceState < ExperimentState
% Ready to start trials, but debounce photo sensor first.
% Author: Lasse Osterhagen
properties (Constant)
% How long does the photo sensor value has to be stable to go on to
% the next state?
debounceTime = 0.1;
end
... |
ab049176f8e59e4bf120f9eaae367a092eb8d07601c1e010bcf2f83d334f1dfa | MATLAB | 1,613 | 25 | function l = loss(x)
V=x(:,1); P_a=x(:,2); P_i=x(:,3); n=x(:,4); r=x(:,5); s_1=x(:,6); s_2=x(:,7); s_3=x(:,8); m=x(:,9); h_1=x(:,10); h_2=x(:,11); d_L=x(:,12); f_L=x(:,13); d_T=x(:,14); f_T=x(:,15); Na_i=x(:,16); Ca_up=x(:,17); Ca_rel=x(:,18); Ca_i=x(:,19); O_c=x(:,20); O_TnCa=x(:,21); O_TnMgCa=x(:,22); O_TnMgMg=x(:,2... |
a50274a1d6fb8681d7d4935c2f30c16823e4eeba3718fd89ef4497b49d52bc4e | MATLAB | 1,615 | 74 | function AVG_MOV = FSA_MakeAvgDffMov()
% Make average Dff movie from aligned videos.
filt_rad=15; % gauss filter radius
filt_alpha=20; % gauss filter alpha
lims=3; % contrast prctile limits (i.e. clipping limits lims 1-lims)
cmap=colormap('jet');
per=0; % baseline percentile (0 for min)
counter = 1;
mov_listing=di... |
e2fae4eddcb4fef0893c4267810234feed10395c4500e926bb4c0dc21865c8ac | MATLAB | 1,615 | 49 | function [C,U] = HALS_temporal(Y, A, C, maxIter,tol,nonneg,flag_AY)
%% run HALS by fixating all spatial components
% input:
% Y: d*T, fluorescence data or K*T, product A'*Y if flag_AY = true
% A: d*K, spatial components
% C: K*T, temporal components
% maxIter: maximum number of iterations... |
e32039969bfcd70844df7b417622e8a0c8b7dc96faab7c2f8259982841f5dc69 | MATLAB | 1,619 | 68 | function [SI, I, H_cond] = SI_Gauss(Cov_X,Cov_XY,Cov_Y,Z)
%-----------------------------------------------------------------------
% FUNCTION: SI_Gauss.m
% PURPOSE: calculate stochastic interaction given covariance of data
% (Ay, 2001; Ay, 2015, Entropy; Barrett & Seth, 2011, PLoS Comp Biol)
%
% INPUTS:
% ... |
6bfec5cb81224956c64defddadf74ec40a18fd34444d83b4cf14c2893e4ee02a | MATLAB | 1,620 | 61 | function displayeddata = immontage(data, rowscolums, noimage)
% ClinicalASL toolbox 2023, JCWSiero
if( nargin == 1 )
rowscolums = [];
end
displayeddata = MakeMontage(data, rowscolums); % see lines below
if( nargin <= 2 ) % plot the data
% Plot the image.
imagesc(displayeddata);
% Set the ... |
7decac0e0bb015d42ffc78c358166468285df910610360b02ff7f97265473a9f | MATLAB | 1,622 | 43 | function var = loadSingleVarFromFile(config)
%LOADVARFROMFILE loads a variable from a .mat file
% This function is part of the dependency injection framework
% (depInj.createObjFromTree()). For the method field, write
% 'depInj.loadSingleVarFromFile'.
% The struct config must have a field 'fileName' with
% a ... |
c8617e96def09778291481d94938c64c955505d005df918bd93e9b4e98849f54 | MATLAB | 1,625 | 52 | function generateNormalizedDisplacements(in_template_byu,in_prop_byu,out_vec_txt,out_inout_txt,out_norm_byu,out_vec_vtk,out_inout_vtk)
%in_template_byu='../template/dstriatum_ana_crop.byu';
%in_prop_byu='propSurface_dstriatum.byu';
%normalized displacement defined as local vertex displacement minus local
%neighbourhoo... |
9da56560e8844a3d9c7324fd5dec4811d7ee12318f4cfbed11ee74e6da3874e2 | MATLAB | 1,629 | 14 | function SlicerPNGs(filenameA, filenameB, prefixA, prefixB, outputdir)
% ClinicalASL toolbox 2023, JCWSiero
% create Slicer PNGs for outlines of two overlapping dataset
% input filenameA = reference image, filenameB = moved image, prefixA, prefixB= prefixnames for output
% output will be an edge image shwoing overl... |
235b4ea744132c6a11686fb9cc575f2be900e355bb13524cdfcd344d9a80f15e | MATLAB | 1,631 | 36 | function scale_bar_SHP(img,bar_length_in_micron,px_length_in_nm,bar_color,bar_position)
%%
bar_length_in_px=round((1/(px_length_in_nm*1e-3))*bar_length_in_micron);
if abs(1-size(img.CData,1)/size(img.CData,2))<.3 % If the image is almost square
if size(img.CData,1)<150
bar_thickness_in_px=round... |
e4b89f027e2764f994a1949c53bd91201ba5c5892c3c56ba548b5602a35da6a3 | MATLAB | 1,631 | 56 | function [starts ends] = consecutive_ones(x)
% periods of 1 are searched for, for each period the start and end position
% is given
% x contains only ones or zeros
assert(isempty(find(x ~= 1 & x ~= 0)))
% prepare
starts = [];
ends = [];
if isempty(find(x ~= 1))
starts = 1;
ends = length(x);
else
idx_0 =... |
2bf20acbdef49ec98ee7d5e281d0b35779bdfd92a7f469b1427978c887f8c35c | MATLAB | 1,638 | 66 | function gramm_classicIOT_line(IDX)
%% Goal
% use gramm and plot the simultaneous congruent, incongruent, and monoc
% preferred.
% line plots using "methods for visualizing repeated trajectories"
%% Initial variables
conditNameForCC = IDX.allV1(1).condition.Properties.RowNames;
TM = IDX.allV1(1).TM;
clear DataForVis... |
2aab99c73ff7e317f1cf33ea2b481ed571754fb62099354d36552e7488afe9d5 | MATLAB | 1,639 | 46 | %% What is missing between the old IDX and the newIDX?
%oldIDX - vector var that lists identifier by unit
oldIDX = load('D:\5 diIDX dir\IDX_iScienceSubmission.mat');
oldPenetration = {oldIDX.IDX.allV1.penetration}.';
oldPenetration(:,2) = {oldIDX.IDX.allV1.depth}.';
for i = 1:size(oldPenetration,1)
oldPenetration{... |
50d9746e52e40ef11df6719ac56fb8c22b77fe128c563381e8f024c884c5110e | MATLAB | 1,639 | 53 | function C = C_ML_Lasso( y, S_init,lambda)
y = double(y);
S = S_init;
[height, width, wavelength] = size(y);
[~,k] = size (S_init); % k is number of pure components
C = zeros(height, width,k);
%e = nan(height, width, wavelength);
mask = nan(height, width, wavelength);
mask(~isnan(y)) = 1;
% Initialize e as y... |
bd31b33a4c2c5568b4ce985c96ad703f7fc87ef8d00676b15e8fb896b32a5379 | MATLAB | 1,640 | 88 | function [AGG_DETRENDED,AGG_DETRENDED_PKONLY]=fb_aggregate_trials(DIR,varargin)
%
%
%
%
%
%
nparams=length(varargin);
dff=1;
fs=22;
win=.4;
per=12;
medfilt_size=.4;
cut=25;
out_dir='extraction';
save_dir='detrended_aligned';
dat_dir='trace_data';
method='prctile'; % 'prctile','medianfilt','mean','fft','highpass'
thres... |
703c45c5d3c8eff350d666316fb11e89673feecda99db2f51fa741e8bbd45173 | MATLAB | 1,641 | 52 | function val = get(s_comp,prop_name)
% GET Get s_comp property from the specified object
% and return the value. Property names are:
% Input_method, Static_value, Value_formula, Static_reps, Reps_formula,
% Seq_values, Seq_values_str, Coord_index, Index_formula, Wrap, Fixed_num_data,
% Sweep, Seq_values, Seq_values_st... |
bcbafaefa2ea0f668905ca73999fe2278877bd69540df0a288d0046f23e91814 | MATLAB | 1,642 | 57 | %IMSC Wrapper function to SC which replicates display behaviour of IMAGESC
%
% Examples:
% imsc(I, varargin)
% imsc(x, y, I, varargin)
% h = imsc(...)
%
% IN:
% x - 1xJ vector of x-axis bounds. If x(1) > x(2) the image is flipped
% left-right. If J > 2 then only the first and last values are us... |
70974f197093d356b030ad98f86f814cc22d6a9009959d289d0c9c52fe517f00 | MATLAB | 1,645 | 53 | function info_line = get_comp_info(s_comp)
% GET_COMP_INFO extract information about the given Sig_comp object.
% info_line = GET_COMP_INFO(s_comp) returns a character array that hold
% information on the given Sig_comp object.
% The content of the information depends on the Input method of the
% component (either ... |
b2141609a8d51a9fb7df17495a72459e6311b1fdfd649cc4d206515a70f415c7 | MATLAB | 1,645 | 53 | function [list,entries_list]=get_comp_names_list(sig)
% GET_COMP_NAMES_LIST returns the list of components names.
% LIST=GET_COMP_NAMES_LIST(SIG_COORD) returns the list of
% components namesof the Main_signal object that the given
% Signal-coodinator coordinates, including components that consists
% it's Envelopes.
co... |
23e0132c1dce726bee86fb12094a6fa208e93a91937071dbb31ac8e8c83d8d9f | MATLAB | 1,653 | 42 | function makeGapThresholdExpFiles(subjectID)
%MAKEGAPTHRESHOLDEXPFILES creates gap detection experiment files from fixed
%parameters.
% Arguments:
% subjectID - a string identifying the subject for which the session
% files are constructed.
%
% All parameters are fixed according to our current practice for
... |
670eb1c276e32525e67bcc8e2e75f36aecfb625b000c754ba1df778acae4c085 | MATLAB | 1,665 | 70 | function visIDX_FullTmBRFS_AllCond_AllContacts(IDX,dataType)
%% Initial variables
conditNameForCC = IDX.allV1(1).condition.Properties.RowNames;
TM = IDX.allV1(1).tm;
uctLength = length(IDX.allV1);
% B. pull out all laminar matrices 3x(6,450,el#)
%preallocate
SDF = nan(size(IDX.allV1(1).SDF.raw,1),size(IDX.allV1(1)... |
7963ae66665c02f27c83d6674f8a076274537e28420206116147042a2de4b9eb | MATLAB | 1,669 | 57 | function [RT, type2AUC] = one_condition(N, drift_rate, drift_rate_var, bound, conf_noise)
% Initialize the variables
choice = zeros(1,N);
conf = zeros(1,N);
RT = zeros(1,N);
% Simulate N trials
for trial=1:N
% Initialize trial-specific variables
time = 0;
continue_accumulating = 1;
process{1} = 0... |
1c114e531bd33ab988edc2a52b53f92369cb91bbb5bee838dbd8f6ba79fe6799 | MATLAB | 1,675 | 45 | function saveTIFF_multi(counts, labels, tags, path, varargin)
path = strsplit(path, '.'); path = path{1}; % normalizing name
tiff = Tiff([path, '.tiff'], 'a');
if numel(varargin)==1
bits = varargin{1};
else
bits = 16;
end
for index=1:numel(labels)
tags{index}.BitsPerSampl... |
ad01dcd0535d2e38560b0370b3e46af227bf8b31a4d7cd739fb78c17f1ea6a47 | MATLAB | 1,675 | 46 | function plot_4bars_withinError(data, t_values, reference, ylabel_string, ylimit)
number_subjects = size(data,1);
for i=1:4
if i~=reference
SD(i)=compute_sd_from_t(mean(data(:,reference) - data(:,i)), t_values(i), 17);
else
SD(reference) = SD(1);
end
end
figure
ax = axes;
bar(1, mean(data(... |
65b67f95d5816476832da0902b9faf9383045867c1d0bdb71b48f3d753834f9b | MATLAB | 1,679 | 56 | % [out,mask] = apodImRect(in,N)
% ---------------------------------------
%
% Apodize the edges of a 2D image
%
% Inputs:
% in Input image
% N Number of pixels of the apodization
%
% Outputs:
% out Apodized image
% mask Mask used to apodize the image
%
% --------------------------... |
2de917c447de054c30c4a04ba7ef0422d8efc06f3175557bc61fced489c9956a | MATLAB | 1,681 | 28 | function [modelMeanResp, modelParamsVec, modelParams] = makeMeanResp(Npd, numRow, gain, direction, sigD, sponR, cparams1, cparams2, cparams3, cparams4, decoderN)
[modelParams] = makeParamMat(Npd, numRow, direction, decoderN);
modelMeanResp = [];
modelParamsVec.PD = zeros(1, length(modelParams.PD)*length(modelParams.M... |
c136b36d61d2cbfd3f70eca02b708d03fcbbded9408b5a33aaec8901e5c8e135 | MATLAB | 1,681 | 43 | % function [deltaF] = deltaF(datafile)
% load(datafile, 'channelData');
%channelData=state.photometry2.channelData(6101:end,:);
channelData=state.photoreceiver.channelData(6101:end,:);
sample_rate = 211;
figure;plot(channelData(:,1),'g');hold on
plot(channelData(:,2),'r');
channelData1=findpeaks(channelData(:,1... |
3cdce4e89967d0b0dcddb089cd8038394e0c1649295f1eb4ea4f83474b877082 | MATLAB | 1,685 | 59 | function silenced_times = load_silenced_times(folder, sampling_rate)
% JN 2021-02-12
% Probably this works only for Deuteron at the moment, not for TBSI
DT2_SAMPLES = 2^18;
fname_times = fullfile(folder, 'ks_output', 'ts_large.mat');
tvar = load(fname_times);
n_DT2_per_raw = ceil(max(vertcat(tvar.noise_loc_arr{:}))/... |
8f2bf6c5a4fb7d3616fbe3d8a109c54d027d79778b88e04a042b86188df98ef2 | MATLAB | 1,697 | 65 | function [B, lims] = rescale2(A, lims, out_lims)
%RESCALE Linearly rescale values in an array
%
% Examples:
% B = rescale(A)
% B = rescale(A, lims)
% B = rescale(A, lims, out_lims)
% [B lims] = rescale(A)
%
% Linearly rescales values in an array, saturating values outside limits.
%
% IN:
% A - In... |
06ac5dab38c9fff74b280ce3bdfced531c31f5a685d0d778d763d9fbcc333b68 | MATLAB | 1,699 | 42 | % NORMXCORR2_MEX
% RESULT = normxcorr2_mex(TEMPLATE, IMAGE, SHAPE)
%
% TEMPLATE - type double, size <= size of image
% IMAGE - type double
% SHAPE - one of: 'valid', 'same', 'full'. same as conv2 shape parameter
%
% RESULT - type double, values in [-1,1]. size depends on SHAPE
%
... |
238d9dbcdc6b210b7878535fcf1a2c7f137929bd6d9c8aec47ec2d8d2915892a | MATLAB | 1,701 | 62 |
clc
close all
clear
figure('Units','normalized','OuterPosition',[.1 .1 .05 .2])
hold on
[perc(1), CI(:,1)] = prep4cibra('discharge');
[perc(2), CI(:,2)] = prep4cibra('action_preference');
[perc(3), CI(:,3)] = prep4cibra('LDA');
for i = 1:3
line([i i],[CI(1,i) CI(2,i)],'color',[.7 .7 .7],...
'linewidth'... |
60545bcd521f635616b427471a4e44bdcb09dcc266bb68d9c5aa2b2215234cc1 | MATLAB | 1,704 | 54 | %%
% Create the connection matrix used in the diffusion approximation
% Note: There are no feedforward connections, since these are approximated
% in the main function
%%
function [wind,wipost,wstr] = Diff_approx_gen_weights(Ncells,p0,J)
%% set up recurrent weight matrix
Ntot = sum(Ncells);
Npop = length(Ncells);
Max... |
5e3e2e6df581db057c9eada6d0cb247080a1e62f579eb0561c9f0ba5b8ffb3b7 | MATLAB | 1,707 | 47 | function data = get_one_subject_data(subject)
%Navigate to the folder with the results
current_folder = pwd;
cd ..
%% Variables of interest
% p.stim_type %1: left tilt, 2: right tilt
% p.speed_accuracy_trial %1: speed, 2: accuracy
% p.cue_validity %0: invalid, 1: valid
% p.cue_direction %1:cue left, 2: cue ... |
8b630683ec63786aac1cf25258bc4334ee6298ee298eebf443ef545b99df1e3a | MATLAB | 1,712 | 72 | function visIDX_FullTmBRFS_AllCond(IDX,dataType)
%% Initial variables
conditNameForCC = IDX.allV1(1).condition.Properties.RowNames;
TM = IDX.allV1(1).tm;
uctLength = length(IDX.allV1);
% B. pull out all laminar matrices 3x(6,450,el#)
%preallocate
SDF = nan(size(IDX.allV1(1).SDF.raw,1),size(IDX.allV1(1).SDF.raw,2),... |
050aa92dcfcf6670eaae1eecef385711c798367db1438dbfba2cb7d04ab37155 | MATLAB | 1,714 | 50 | function samp_points=synth(sig,samp_rate,trial_dur,varargin)
% SYNTH is FLANKING_BAND synth function.
% SAMP_POINTS=SYNTH(SIG,SAMP_RATE,TRIAL_DUR,VARARGIN) Samples the signal
% according to the givan SAMP_RATE and TRIAL_DUR. Returns the sampled
% points.
% varargin holds the requested Center frequency and the bandwidt... |
fcd3515ac62348f59170e9fffe048ea7573b552d550a96b1380fe4615e176881 | MATLAB | 1,718 | 43 | function phi = phi_comp(X, Z, params, options)
%-----------------------------------------------------------------------
% FUNCTION: phi_comp.m
% PURPOSE: Compute phi from time series data
%
% INPUTS:
% X: time series data in the form (units X time)
% Z: partition
% - 1 by n matrix. Each elem... |
852cc9b19d4a9b201bddef4f8e7e63f27ed2a9abc413f5ec45564040493bbb41 | MATLAB | 1,719 | 47 | function [f_P, f_D] = pot_dep_func(L, velocity, param_P, param_D)
%{
Define the underlying bioprocesses using skewed t student function
https://ieeexplore.ieee.org/document/7217164
%}
if nargin < 3
% parameter are nu, mu, sigma, skew
% nu: degree of t student
% mu: location
... |
f9b64cb0faa4acbb73000b96d651eacee50751c0b38f76101f385c65c999fc48 | MATLAB | 1,720 | 70 | function FS_SortMotif2
% Sort each .mat file by its identified motif in the .mat file
mat_dir=[pwd,'/', 'MOTIF2'];
counter = 1;
if exist(mat_dir,'dir'); rmdir(mat_dir,'s'); end
mkdir(mat_dir);
Dir01 = strcat(mat_dir,'/Motif_first');
Dir02 = strcat(mat_dir,'/Motif_second');
Dir03 = strcat(mat_dir,'/Motif_third');
Dir0... |
4ff2b61b4e3e230d2d9cc3d80e1ff2fefd0f439db43be2208f8517be2d30664b | MATLAB | 1,721 | 55 | % [im,path] = loadData(path)
% ---------------------------------------
%
% Generic function to load arbitrary image stacks in the workspace
%
% Inputs:
% path Full path of the file, if not provided the function will call uigetfile
%
% Outputs:
% im Loaded image
% path Image full path
%
% ----------... |
0c76211bdca9bdfd5a1c852ce2955e10fdc5bbca03141fabd6e92704e68a5d8b | MATLAB | 1,724 | 65 | function [xx,yy,nn] = psychfunctionmod(xvalues,pchoice,itrial,varargin)
% PSYCHFUNCTIONMOD compute psychometric function for model predictions
%
% Inputs:
% xvalues: abscissa values (1 x ntrials)
% pchoice: probability of choice (1 x ntrials)
% itrial: subset of trials to consider
% varargin: parameters to compu... |
b509d7e4a110f26f01bf217da1950c6a5d1e840bdcc1109e5633f131bc5f64e3 | MATLAB | 1,727 | 56 | % [ind,A] = getDcorrMax(d)
% ---------------------------------------
%
% Return the local maxima of the decorrelation function d
%
% Inputs:
% d Decorrelation function
%
% Outputs:
% ind Position of the local maxima
% A Amplitude of the local maxima
%
% ---------------------------------------
%
% ... |
3fdc54045648740b75e50c3e4c31bb419ae786e3569324ded33554b816975522 | MATLAB | 1,728 | 61 | function behavior_table = make_behavior_table(behavior_folder, ...
experiment, behavior_file_no, snr_times, out_folder)
% JN 2019-07-04
behavior_filenames = find_behavior_filenames(behavior_folder, ...
experiment, behavior_file_no);
for i = 1:length(behavior_filenames)
if any(behavior_filenames{i})
... |
023aebf284b70eb713c241c8a1978b5b7e25d4678014dd5ccdb8bec4729f497c | MATLAB | 1,736 | 40 | % calculate the mask and stats (i.e. objects) in the image based upon set
% blur, threshold, and minimum values.
function [mask, stats] = calc_mask(point, pipeline_data)
counts = point.counts;
mask_channel_index = find(strcmp(pipeline_data.mask_channel, pipeline_data.points.labels()));
mask_src = ... |
806ce7487cc80e9a961a26e3cab34ba8a106d61ef1e2fdad9868d4d6204902e3 | MATLAB | 1,740 | 76 | function data_smooth = tdrTemporalSmoothing(data,tmppars)
% Temporal smoothing of trial-by-trial or condition-averaged responses
%
% Inputs:
% data: population response (simultaneous, see 'help tdr')
% tmppars.filter: filter type ('gauss' or 'box')
% tmppars.width: filter widht (s)
%
% Outputs:
% data_smooth: smoo... |
ef19b934c2e4dd1fb2d7f41509fdca46a508b6a2addb78007591066049fe4fa4 | MATLAB | 1,748 | 25 | function SUBJECT = ASLSaveResultsCBFAAT_FAST(SUBJECT, prefix)
% ClinicalASL toolbox 2023, JCWSiero
% save BASIl results: NIFTI and PNG - loops over smoothed BASIl data
% load BASIL output data : %% CBF Arrival transit time (AAT), aCBV, arterial transit artefact (ATA) for spatial COV computation, allPLD for another C... |
d93630954ae9a778b96a20209e82e9eb07b038fc52ac5a77994b35963aada0be | MATLAB | 1,749 | 43 | function [Z_MIP, phi_MIP] = MIP_search( X, params, options)
%-----------------------------------------------------------------------
% FUNCTION: MIP_search.m
% PURPOSE: Find the Minimum Information Partition (MIP) from time series
% data X
%
% INPUTS:
% X: time series data in the form (units X time)
%
% ... |
812fb0304d1670e5d86ff96f20e446aa8b926121d8ad0af4aec6e2a3e29ff19b | MATLAB | 1,750 | 49 | date = '07.10.20';
filenum = 4;
%%
load(['C:\maestro_results\Analog_data',date,'\Tables_',num2str(filenum),'.mat'])
mdp_table = MDPData.MDPStates;
loc = find(mdp_table.type == 'A' | mdp_table.type == 'B' |mdp_table.type == 'C');
reward = [0 0 0];
mistake = reward;
miss = reward;
for ii = 1:length(loc)-1
tmpT = mdp_... |
8e44a9a8bc03a5971ba347111ac9508e50a64a19b1fd4c7afc0df7047f5d35ab | MATLAB | 1,754 | 77 |
%% calculate the mean angle of the right most cluster
cmap = parula(11+1);
cmap = cmap .* repmat([.9 .8 .9],size(cmap,1),1);
ic = 0;
for thresh = 5:15
x = obs2obs(:);
y = exe2obs(:);
ind_min_rel = x>=thresh;
x = x(ind_min_rel);
y = y(ind_min_rel);
% convert to angle
ang... |
d599e13a1feace49d06a1b6e55592864f6e84b8dc164dba8df66126a89023852 | MATLAB | 1,758 | 52 | function swp = Sweep(varargin)
% SWEEP class constructor.
% s=Sweep(SDATA,EDATA,NUM_DATA,REPS,MODE,STEP) creates a
% sweep object that generates values in the range (SDATA,EDATA).
% The number of values generated is NUM_DATA and each is being
% repeated REPS time (the total number of values are num_data*re... |
e52af32900b7ad54cd5c253c432217ffc30b1789ef394a5224c6eb9fb034bfdb | MATLAB | 1,759 | 47 | function phi_I = phi_I_dis(probs,q_probs)
%-------------------------------------------------------------------------------------------------
% PURPOSE: calculate mutual information based integrated information proposed in discretized data
%
% INPUTS:
% probs: probability distributions computed from X
% probs.p... |
a4f57edddbd0732cf9fbf97540cba86631ac2c34336712677e91b84c03291e11 | MATLAB | 1,761 | 59 | classdef LogBookTest < matlab.unittest.TestCase
% Author: Lasse Osterhagen
properties(Constant)
eventGenerator = EventGenerator();
end
properties
logbook
end
methods(TestMethodSetup)
function setUp(this)
this.logbook = LogBook();
this.l... |
c04fde5f9221f18433c5af18704d91422695f6b73f44a39f71cefd606d598cb2 | MATLAB | 1,766 | 47 |
figure;
%% Enters the nest
subplot('Position',[0.2 0.61 0.2 0.17]);
shadedErrorBar([],mean_z_score_all_days_all_mice_enters_the_nest,{@mean,@stderrm},'r')
yticks([-2 -1 0 1 2 3 4]);yticklabels({'-2' '-1' '0' '1' '2' '3' '4'});xticks([0 844 1688 2532]);xticklabels({'-8' '-4' '0' '4'});xlim([0 2532]);ylim([-1 1]);
xlab... |
e04ae73146dc77898cc5e97b306eeaed1beb10abc0b813866e802e68205fa295 | MATLAB | 1,769 | 91 |
clc
clear
close all
stat_for_fig06
% keep n6c n6d n6e n6f
figure('Units','normalized','OuterPosition',[.1 .1 .12 .7])
subplot(4,2,1)
prep_for_fig06A
subplot(4,2,2)
load xx_109_7_pop_exe2obs
e2e = perf.verif;
e2o = perf.test;
load xx_109_7_pop_obs2exe
o2o = perf.verif;
o2e = perf.test;
prep_for_fig06BCDEF(e2e,e2o,... |
3a220fcd715cda6c25e5ee54a741f2a5e11c264ffdb05f0b5d80cb3cb4a95a06 | MATLAB | 1,775 | 69 |
function[subject,data] = nmri_freqplot(subject,data)
%% make the QC dir
if (~isfield(subject,'QCdir'))
subject.QCdir=fullfile(subject.analysis_dir,subject.id,'QC');
end
if (~exist(subject.QCdir,'dir'))
mkdir(subject.QCdir)
end
%% do fft-plot MEGGRAD
cfg = [];
cfg.output = 'pow';
cfg.channel = 'meggrad';
cfg.metho... |
7b3cc1a8d6e10634749138eaf7e96db08382a506e52de4d1b3ab1ea168143c69 | MATLAB | 1,775 | 82 | function FS_SortMotif
% Sort each .mat file by its identified motif
mat_dir='MOTIF';
counter = 1;
if exist(mat_dir,'dir'); rmdir(mat_dir,'s'); end
mkdir(mat_dir);
Dir01 = strcat(mat_dir,'/Motif_first');
Dir02 = strcat(mat_dir,'/Motif_Middle');
Dir03 = strcat(mat_dir,'/Motif_last');
Dir04 = strcat(mat_dir,'/Motif_seco... |
fef3860117f5bfb8250ee6166a404c8f6e74337e83de6d2d708f5cf6b4c0340b | MATLAB | 1,777 | 53 | % Copyright (C) Alex A. Bhogal, 2021, University Medical Center Utrecht,
% a.bhogal@umcutrecht.nl
% <import_Events: imports GEN4 RespirAct data >
%
% 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 Fou... |
de0e7712660c5b666c668e58096576147a9c42d3d22cf995a5d7ad35b800ff19 | MATLAB | 1,778 | 57 | function [parts,vertices,edges] = readBYUSurface(filename,fixedwidth)
% [parts,vertices,edges] = readBYUSurface(filename,fixedwidth)
% Reads a BYU file if it holds a triangulated mesh
%
% filename - path to BYU file
% fixedwidth - 0 or 1 refers to which style of byu file (whether numbers are spaced into fixed widt... |
74e4ec551c4048cf46a3159056e211ab81637e5e3eabf46264ec8d993ed9bf11 | MATLAB | 1,780 | 57 | function create_supp_table1(rt, accuracy, conf, fileName)
%File name
output_path = pwd;
file = fullfile(output_path,[fileName '.xls']);
%Delete previous version of the file and open new file
if exist(file)
delete(file)
end
fid = fopen(file,'a');
%% RT
% Print first line
fprintf(fid,'RT\nCondition\tS1\tFEF\tDLPFC... |
1e857e834fa7b0a08b979a5ae3101110432b3b34a364222297ab0caada925399 | MATLAB | 1,783 | 43 | function shearletSystem = MIRO_SLgetShearletSystem2D(useGPU, rows, cols, nScales, shearLevels, full, directionalFilter, quadratureMirrorFilter)
%% Compute the shearlet system
%%check input arguments
if nargin < 4
error('Too few input arguments!');
end
if nargin < 8
quadratureMirrorFilter = [0.0104933261758410... |
3c119de6b18d30300937d3cd3990c3a6dcd2c0ab831febc0074fcb7a59f14dfd | MATLAB | 1,784 | 51 | function [dO_c, dO_TnCa, dO_TnMgCa, dO_TnMgMg, ...
dO_Calse, phi_ca_i, dCa_up, dCa_rel, ...
dF_1, dF_2, dF_3, I_up, I_rel] = ...
SR_calcium_handling(ATP_i, Ca_i, Ca_up, ...
Ca_rel, F_1, F_2, F_3, O_c, O_TnCa, O_TnMgCa, ...
O_TnMgMg, O_Calse, V, data)
F = data.F;
V_up =... |
ff38609b79b965a43c460095cf56c7a1c794d1844b801c0a2099e385f6f958e2 | MATLAB | 1,788 | 46 | %% LaBGAS_copy_con_imgs_CANlab_folder_struct
%
% This simple script copies con1-3 images (pos, neu, neg) from
% rootdir\firstlevel\model_x_yyy\sub-zz\ to
% rootdir\secondlevel\model_x_yyy\con_images\sub-zz
% to prepare second level analysis with CANlab batch scripts
%
%__________________________________________________... |
d5f46747372cec8043ab6a847c74f30858c4a1f6910c2101eb4c962bbac2e372 | MATLAB | 1,792 | 37 | function [request, old_run] = copyRun(auth_token, url, old_label, copy_label)
%UNTITLED5 Summary of this function goes here
% Detailed explanation goes here
run_response = httpGET(auth_token, [url, '/runs/?label=', old_label]);
old_run = run_response.Body.Data;
if ~isempty(old_run)
xml_path = [old... |
3c9a02698f92ad63444cbb3f88bea5839f284c3c3441adc0af1356090ea19e6c | MATLAB | 1,795 | 42 | function [mean_population,mean_cells,mean_behaviors] = neuronal_activity_session(calcium_data,calcium_time,calcium_fps,behav_data,behav_time,behav_fps,min_behav_duration)
% This function calculates the average activity for the whold recording and
% during each behavior.
% INPUTS: calcium_data, neurons x time matrix... |
196ffcf912a54ebf8b7ac4cbe4fc79232d4c29a79016112ad1749c8614882f43 | MATLAB | 1,796 | 48 | %% label2rgbBackdropLive.m
% Overview:
%
% Code that labels different regions of a bw image in different colors. The
% inputs are the image to be colored, a 2D array the size of the image that
% indexes the regions to be colored and the colormap for the indexed
% regions. Code can also conv... |
cad475d6a9429e02142e0ce25a0c1628721f37800125df915425b1e371d3b226 | MATLAB | 1,798 | 34 |
figure;
%Plots of the mean Z-scored traces of ACCCAMKII neurons (cyan) and ACCVGAT neurons (magenta)
%for all dams and all days aligned to the dams?s entry to the nest (H) and exit from the nest (I) (n = 5 mice).
%% All days averaged dams camkii vs vgat-cre
%Pup contact
subplot('Position',[0.2 0.61 0.2 0.17]);
shade... |
970fafc95566ae7632e7d229a334d314899760c04d7253683ebec7a124660c1f | MATLAB | 1,802 | 54 | function SI = SI_dis(probs, q_probs)
%-------------------------------------------------------------------------------------------------
% PURPOSE: calculate stochastic interaction in discretized data
%
% INPUTS:
% probs: probability distributions computed from X
% probs.past: probability distribution of past s... |
a467cd051cc093eacc4d46803176c89e8e43ba5a8a567c9a44a4e4fa1c515c44 | MATLAB | 1,806 | 72 | function [C, kept_N] = generate_dct_basis(size_h, size_w, k_h, k_w)
x_axis = 1 : size_h;
x_axis = x_axis / size_h;
y_axis = 1 : size_w;
y_axis = y_axis / size_w;
[Y, X] = meshgrid(y_axis, x_axis);
phi_shift = 2;
img = [];
img_global = [];
for i = 1 : k_h
for j = 1 : k_w
... |
9a44d2ebafad6da48380d6da5da99afa5ee7b48101f90c22dcb65fa87eda6385 | MATLAB | 1,808 | 44 | %% Demo demonstrating the algorithm result formats for COCO
%% select results type for demo (either bbox or segm)
type = {'segm','bbox','keypoints'}; type = type{1}; % specify type here
fprintf('Running demo for *%s* results.\n\n',type);
%% initialize COCO ground truth api
dataDir='../'; prefix='instances'; dataType=... |
df8f6f457a80f82ed988803932aa97f2586fff4e0f317e078e7cb04e2868b5e4 | MATLAB | 1,818 | 44 | function [Result,pData,DataCapture] = AO_GetChannelData(ChannelId)
%Function is used to get the data for the specified channel ,in format of streamDataBlock
%%
%AO_GetChannelData :will get the data for the specified channel ,in format of streamDataBlock
%ChannelId :The channel id which we want to get data ... |
5cf7f8c232e162efd792a02ef55e90296ed13bbea50ad7324a14c964573ad905 | MATLAB | 1,820 | 53 | function sig_comp= change_sweep_param(sig_comp,varargin)
% change_sweep_param(sig_comp, field_name1, val1, field_name2, val2...)
% changes sweep's fields to the given values.
% Sweep fields are: Sdata, Sdata_formula, Edata, Edata_formula, Num_data,
% Num_data_formula, Reps, Reps_formula, Mode, Step.
sdata_flg=0;
... |
0efe7ead7765bd72e76df380fad86b3d81e594c855d42f23d201864e5fc12d0e | MATLAB | 1,825 | 73 | %%
% Plots spatial correlation curves across different values of probability
% and strength of ensheathment
%
% Creates S3 Fig
%%
%% load the data and get the statistics
load('./CompressedData/Spatial/Spatial_SuppData_condensed.mat')
%%
f = figure(10); clf;
f.Position(3:4) = [970 420];
set(gca,'fontsize',16)
% te... |
841a02fa553d0321e76c8ba6d99fdaecd5061af08454cadbc6d3093bd1b27226 | MATLAB | 1,825 | 61 | function X = SLshearrec2D(coeffs, shearletSystem)
%SLshearrec2D 2D reconstruction of shearlet coefficients.
%
%Usage:
%
% X = SLshearrec2D(coeffs, shearletSystem);
%
%Input:
% coeffs: XxYxN array of shearlet coefficients.
% shearletSystem: Structure containing a shearlet system. This should be
% ... |
e648927426ed2829f17a5ae081bcd00a8845d7598305d159909b1f3bc5d82c2f | MATLAB | 1,829 | 47 | function comp = set(comp,varargin)
% SET Set STime_comp properties and return the updated object.
% Property names are:
% Sig_comp,Input_method, Static_value, Value_formula, Static_reps, Reps_formula,
% Seq_values, Seq_values_str, Coord_index, Index_formula, Wrap, Fixed_num_data, Sweep.
property_argin = varargin;
whil... |
b876e1fd0c10fa705d3407e16154a4b7a72ebfc4373bebed5089f6cb56bdeac7 | MATLAB | 1,831 | 35 | function [Result] = AO_StartStimulation(ChannelNumber);
% This function is used to stimulate using the SnR/Neuro Omega
%
% ChannelNumber:The ID of the channel used for stimulation
% Result is an integer result of the AO_StartStimulation, 0 = no function errors
%% Note: The stimulation params should be set before stim... |
87a6b002283a2b4afb34cff967cea059dab32b55c3316f0fbb846a7052012de4 | MATLAB | 1,832 | 51 | function preparedFiltersGPU = SLfiltersToGPU2D(preparedFilters)
%SLFILTERSTOGPU2D Transfer precomputed filters for the construction of 2D shearlets to the graphics card.
%
%Usage:
%
% preparedFiltersGPU = SLFILTERSTOGPU2D(preparedFilters)
%
%Input:
%
% preparedFilters: A structure containing filters that can be used to... |
81882b420e006bd8552b111bc643f9ecf9bc1325210de920e4d7ea582886f21f | MATLAB | 1,834 | 31 |
figure;
%% All days averaged fathers vs mothers
subplot('Position',[0.2 0.61 0.2 0.17]);
shadedErrorBar([],fathers_mean_z_score_all_days_all_mice_pup_contact,{@mean,@stderrm},'k')
yticks([-1 -0.5 0 0.5 1 1.5 2 ]);yticklabels({'-1' '-0.5' '0' '0.5' '1' '1.5' '2'});xticks([0 211 422 633 844 1055 1266 1477 1688 1899]);x... |
1ded769274eaa29a3eb00859a281e16a6c00f16adc61d63920c14628e953e368 | MATLAB | 1,835 | 57 | function samp_points=synth(sig,samp_rate,trial_dur,varargin)
% SYNTH is NEW_ENV synth function.
% SAMP_POINTS=SYNTH(SIG,SAMP_RATE,TRIAL_DUR,VARARGIN) Samples the signal
% according to the givan SAMP_RATE and TRIAL_DUR. Returns the sampled
% points.
switch nargin
case 4
params=varargin{:};
if ~(ise... |
ba73a221c38b8dd2d1c26ceb19c966ab3e55860a79faf087a55e3e487952c3f6 | MATLAB | 1,842 | 48 | % Changed by AlexKaz on 110520 to create the 32x1 linear channel map for the Deuteron system
Nchannels = 32;
connected = true(Nchannels, 1);
chanMap = 1:Nchannels;
chanMap0ind = chanMap - 1;
xcoords = ones(Nchannels,1);
ycoords = [1:Nchannels]';
kcoords = ones(Nchannels,1); % grouping of channels (i.e. tetrode... |
265145c4cecd9485c48d1cbad3c31fdfb44f0b6c899de86819fad059e2784cbf | MATLAB | 1,845 | 41 | function [psf_crop_sum_normalized] = crop_psf(dataset, N, first_scale_factor, second_scale_factor, crop_box_h, crop_box_w)
% CROP_PSF - crop psf to fit the support box
% input:
% dataset : h*w*N psf matrix to be downsampled and cropped
% N : field number of psf stack
% first_scale_factor : first down... |
effb856d5e67ac2c6aeedb28359ad39dbe54238c5ac2e84f56216d7ca8f0a522 | MATLAB | 1,845 | 72 | % This function functions like the build in MATLAB function csvwrite but
% allows a row of headers to be easily inserted
%
% known limitations
% The same limitation that apply to the data structure that exist with
% csvwrite apply in this function, notably:
% m must not be a cell array
%
% Inputs
%
% fil... |
5df0f088fba2bc72c12c4f3a002c3042c8ed553ddffd4b71f2bcbad826c9565b | MATLAB | 1,850 | 39 | function [Item_Name_struct] = extract_events(data_table)
% Function extract_events gets a single table with parsed event data from a single .csv, and converts
% it to a struct. the keys of the struct are the names of the events.
%
% Inputs:
% data_table - (N x 8 table) - Each column holds a single event type
%
% ... |
c4a57b02dda321cb4bd28fac4fad12bc3f094f68486b90b36ebcb5f52ef093e9 | MATLAB | 1,851 | 52 | clear;clc
load('\demo\input\Ydata.mat') % load dependent vadiables
% z-score:
Y=zscore(Y);
load('demo\input\Xdata.mat') % load independent variables
X=parcelExpression; X(isnan(X))=0;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%perform full PLS and plot vari... |
104758607550a8d71b08de67b623a8d94e70130d2bd1415708754558e13e4f18 | MATLAB | 1,854 | 53 | function [dataTable] = loadFileList(varargin)
%loadFileList Load and combine tables from multiple output files
% Will include only columns found in all datasets, and adds a column
% naming the originating data set
o = ecogutils.postHocOptionsParser(varargin{:});
dataPath = [getLocalPath('ECoGoutput') 'init... |
bb1505ca10063e7a548dee72cd4f8da3dbdcccc0adb8969df738e8c5bd3ae86d | MATLAB | 1,856 | 57 | clear
close all
PostSetup('BrockWork')
anaName = 'IDX_findTimingOffsets_rawResp';
%% Get IDX
global IDXDIR
cd(IDXDIR)
if ~exist(strcat(IDXDIR,strcat(filesep,anaName,'.mat')),'file')
IDX_iScienceSubmission
end
load(strcat(IDXDIR,strcat(filesep,anaName,'.mat')))
%% JASP conversion
% JASP requires each unit to... |
dee821586bea25900d6e6d6aa5cd0ff56fd5608dfcdc476c8b56b310e4649c4c | MATLAB | 1,857 | 43 | function sound_channel = identify_sound_channel(NA_mat_uint16)
% Function identify_sound_channel() locates the sound shannel in NA recording (if exists).
% The sound is identified based on its statistics = higher mean channel value, due non-negative
% air pressure measurments.
%
% Inputs:
% ... |
9f0be2e052c890e64a2f3add580c7fefbcc87dd8021a43e7df720aada1a9bdb6 | MATLAB | 1,858 | 57 | function [list,entries_list]=get_crid_list(sig)
% GET_CRID_LIST returns the list of components crids.
% LIST=GET_CRID_LIST(SIG_COORD) returns the list of
% components CRIDs of the Main_signal object that the given
% Signal-coodinator coordinates, including components that consists
% it's Envelopes.
counter=1;
comp_nam... |
768a8e277b0fc8bf86a919770cb2e6cdea7e64c9341868e7027f1586de2fbc33 | MATLAB | 1,862 | 69 | function testLoad
%TESTLOAD Test json.load.
fixtures = {...
[], 'null';...
1, '1.0';...
inf, 'Infinity';...
-inf, '-Infinity';...
nan, 'NaN';...
true, 'true';...
'foo', 'foo';...
{}, '[]';...
struct(), '{}';...
1:5, '[1,2,... |
863fdab9fd403954bb54300f237c4b8ecb972ac854ad8852db3ee11135c3c18d | MATLAB | 1,867 | 76 | %**************************************************************************
%**************************************************************************
%
% maxentropie is a function for thresholding using Maximum Entropy
%
%
% input = I ==> Image in gray level
% output =
% I1 ==> binary image
%... |
999aff8996d29b25df97b266d457ff3d9dbc862105b26dd38fe19df64cc00279 | MATLAB | 1,867 | 47 |
figure;
%% PND0
subplot('Position',[0.2 0.61 0.2 0.17]);
shadedErrorBar([],mean_z_score_all_days_all_mice_pup_contact,{@mean,@stderrm},'k')
yticks([-0.5 0 0.5 1 1.5]);yticklabels({'-0.5' '0' '0.5' '1' '1.5'});xticks([0 211 422 633 844 1055 1266 1477 1688 1899]);xticklabels({'-4' '-3' '-2' '-1' '0' '1' '2' '3' '4' '5'... |
cf8d89596d520e3683e25d3b99a73bfee705c14de891113b39c5c21e4e483207 | MATLAB | 1,867 | 47 |
figure;
%% PND0
subplot('Position',[0.2 0.61 0.2 0.17]);
shadedErrorBar([],mean_z_score_all_days_all_mice_pup_contact,{@mean,@stderrm},'r')
yticks([-0.5 0 0.5 1 1.5]);yticklabels({'-0.5' '0' '0.5' '1' '1.5'});xticks([0 211 422 633 844 1055 1266 1477 1688 1899]);xticklabels({'-4' '-3' '-2' '-1' '0' '1' '2' '3' '4' '5'... |
0f752936237a64414fa271517de88451da00a5315e7bd342c5b6ea6ed4cb0c08 | MATLAB | 1,870 | 47 |
figure;
%% Pup contact
subplot('Position',[0.2 0.61 0.2 0.17]);
shadedErrorBar([],mean_z_score_all_days_all_mice_pup_contact,{@mean,@stderrm},'r')
yticks([-0.5 0 0.5 1 1.5]);yticklabels({'-0.5' '0' '0.5' '1' '1.5'});xticks([0 211 422 633 844 1055 1266 1477 1688 1899]);xticklabels({'-4' '-3' '-2' '-1' '0' '1' '2' '3' ... |
2a542b1762ba1cb5c28039fcba6e574873ec595c480ffcfa829dc508c72dc434 | MATLAB | 1,870 | 61 | function [list,entries_list]=get_crid_list(sig)
% GET_CRID_LIST returns the list of components crids.
% LIST=GET_CRID_LIST(SIG_COORD) returns the list of
% components CRIDs of the Main_signal object that the given
% Signal-coodinator coordinates, including components that consists
% it's Envelopes.
counter=1;
comp_cri... |
fd8a275b6ebb139972945470de771769cf8afa758c7c088e5782b7994b58f02c | MATLAB | 1,870 | 44 | % Copyright (C) Alex A. Bhogal, 2021, University Medical Center Utrecht,
% a.bhogal@umcutrecht.nl
% <resampleGEN3: resamples GEN3 breathing data to the time-step defined by TR >
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as publi... |
cc9f50c41120976ad08a07b3780a43f5e44a7e3271f0c35930587e552beba5de | MATLAB | 1,873 | 62 |
clc
clear
close all
% /// Execution
load("behavioral_data_exe.mat")
cue_type = 'Informative';
actions = {'Twist', 'Shift', 'Lift'};
periods = unique(Period, 'stable');
ind_cue = strcmp(CueType, cue_type);
for iaction = 1:numel(actions)
ind_action = strcmp(ActionType, actions{iaction});
for iperiod = 1:nu... |
b8f9a41e523d3e21f4c9d1d89ec070eeb078f470f5bcfca937f34b2117e69f37 | MATLAB | 1,874 | 67 | function folders = create_folder_names(expdata)
% JN 2019-02-11
% This function fills the struct `folders` with the locations of all input
% data, and the output folder
folders = expdata.folders;
folders.base = folders.data_location;
logging = 'neural';
maestro = 'control';
behavior = 'behavior';
camera = 'camera';
... |
bd6e17a97c37accbc637a46b519da8dccdaeb8291865b179147ef098827a276f | MATLAB | 1,879 | 50 | %---------------------------------------------------------------%
% This is the main script for decoding animal's current %
% position using rate maps from N' -- Wenbo Tang (Jan 05, 2023)%
%---------------------------------------------------------------%
clc;
clear all
close all;
%%
famnov_dir = '/Volumes/Nove... |
7a87d19fa02b2e1f9c6c35a0fe7b0a00da7357f3f55f62742eb46547018087f9 | MATLAB | 1,881 | 64 | classdef LogBook < handle
% Class to register (listen to) a number of events and save them to a
% cell array with a time stamp. Event can optionally have an
% ExperimentEventData object as event.EventData.
% Author: Lasse Osterhagen
properties
displaying = true;
end
pr... |
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