sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
9c84e1f6b563cd0ec53a90f28fc6d04496731a0018b7a6333b6a3bf991806942 | MATLAB | 1,857 | 75 | % GM_TREE Membrane conductances of the segments of a tree.
% (trees package)
%
% gm = gm_tree (intree, options)
% ------------------------------
%
% Returns the membrane conductance of all elements [in Siemens].
%
% Input
% -----
% - intree ::integer: index of tree in trees or structured tree
% - options ::string... |
ef8ace747156d60f4dd9846b9984b516b3015fc74f8898a78acf02a7298fa1c1 | MATLAB | 1,858 | 49 |
%Define paramters
simparams.IMAGE_RESOLUTION_XY = .165; %microns
simparams.IMAGE_RESOLUTION_Z = .165; %microns
simparams.IMAGE_FOVSIZE_XY = 150;
simparams.IMAGE_FOVSIZE_Z = 50;
%puncta size (I think u=10 and s=3.5 is correct but it's slow)
simparams.PUNCTA_SIZE_MEAN = 8; %FWHM
simparams.PUNCTA_SIZE_STD = 3;
simparams... |
46ee619b2a0d32b2450920e78607d57c07b3f7f4e954217d6052dd3dc57eadc6 | MATLAB | 1,859 | 48 | function hFig = createPrintFig(figSize)
% Defaults for this fig.
width = figSize(1); % Width in centimeters
height = figSize(2); % Height in centimeters
alw = 0.75; % AxesLineWidth
fsz = 11; % Fontsize
lw = 2; % LineWidth
msz = 6; % MarkerSize
... |
7e0c72c2812e17a7f18cb82ab498d2949cbd8cd1551cef299ff0c6eb573fe2f5 | MATLAB | 1,860 | 51 | function t2n_showNetState(neuron,trees,out,tim)
for t = 1:numel(trees)
if ~isfield(trees{t},'artificial') || ~trees{t}.artificial
trees{t} = rot_tree(tran_tree(trees{t}),[],'-m3dY');
else
trees{t}.X = 0;
trees{t}.Y = 0;
trees{t}.Z = 0;
trees{t}.dA = sparse(1);
end
en... |
1821224887870e11d0ce2039ee9ef48557951cb91de38f06bba7b2ce8c0400ef | MATLAB | 1,862 | 33 | function [ spike_rate_mat_neuron_by_angle ] = calculate_spike_rate_neuron_by_angle( T, G, Ang, wake )
global BEHAVIORAL_SAMPLE_RATE NEURONAL_SAMPLE_RATE NUMBER_OF_ANGLE_BINS CENTER_OF_ANGLE_BINS;
number_of_neurons = max(G);
wake_start_behavior_sample_index = ceil(wake(1) * BEHAVIORAL_SAMPLE_RA... |
521d681f9e3e378c4b476688fc8489f504105510a2208934f0ddede919c8d69f | MATLAB | 1,864 | 54 | function varargout = plot(self, varargin)
%plot - Plot a figure for each child object
%
% plot(OBJ) sequentially loops through the elements of the ImgGroup
% object and calls the plot_fig method for each of the ImgGroup children.
%
% plot(OBJ, ...) passes any additional arguments to the child method.
%
% H = pl... |
808ece0b57ef15c6cab74f2ccb21b67b57af15f6b9ae2712aeb113b9bbd20929 | MATLAB | 1,864 | 82 |
clear
close all force
warning on
imSize = [733, 977];
pix2deg = 34.910;
hWB = waitbar(0,'checking the trials ...');
%load tirals info
load('a0_0_bhv2trialStrct.mat');
I = arrayfun(@(x) isfield(x.analyze,mfilename), dataTrl);
if any(I)
I(I) = arrayfun(@(x) x.analyze.(mfilename) , dataTrl(I));
end
nTrialAllNext... |
3934e19d34ef196c220da4c94f8fcea4c160f2594a250296e29c38d1242f8de6 | MATLAB | 1,865 | 39 | % This produces an analog output waveform .mat for generating a single
% stimulation pulse train with a particular duty cycle.p on all channels.
% 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 valu... |
ce597fa3814be2c3a5dfede3fd6852318de6e3460dbbeff158432ec4d9e42204 | MATLAB | 1,865 | 52 | function id = defaultId
% DEFAULTID returns a string that can serve as warning or error identifier,
% for example 'FieldTip:ft_read_header:line345'.
%
% See also WARNING, ERROR, FT_NOTICE, FT_INFO, FT_DEBUG
% Copyright (C) 2017, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org... |
7e29a8d646e70b37d7db897c5d764bc06848f6a495c9d65fb75b8a77ea85317e | MATLAB | 1,866 | 89 |
clear all
close all
currentdiectoryLocation=pwd;
addpath(strcat(currentdiectoryLocation,'/functions/'))
[decoder.preprocessing.bandPassFilter.b,decoder.preprocessing.bandPassFilter.a]=butter(2,[8 30]/(512/2));
dataLocation = 'expertMIData';
allRunsInfo = dir(fullfile(dataLocation, '*.gdf'));
nRuns=size... |
e03088cfcde6a17da524e68e3e3625f3f251a4bf93399e12b5afcf805cc69d7a | MATLAB | 1,869 | 54 | function varargout = opt_config(self)
%opt_config - Optimise the parameters in Config objects using a GUI
%
% opt_config(OBJ) opens a GUI that allows interactive adjustment of the
% parameters in each Config object of each child. The GUI can also be
% used to reprocess the object, and produce various plots, which... |
8a0d8f1fda068ffa85bb7e5ddd61ab3de3f8e859f9bf29a9fca52ca44ad136c5 | MATLAB | 1,872 | 52 | classdef (ConstructOnLoad) ED_NewRawImg < event.EventData
%ED_NewRawImg - Event Data for IRawImg.NewRawImg event
%
% ED_NewRawImg public properties:
% wasEmpty - Whether or not the rawImg property was previously empty
%
% ED_NewRawImg public methods:
% ED_NewRawImg - ED_NewRawImg class constructor
%
% See also ev... |
fcfbac4015a2ffed6a7d7b23737b5348a240a849d9140ebfc2178f1d9aa76bd4 | MATLAB | 1,872 | 42 | function MakeCatSbxz(sbxPath, sbxInfo)
% Check if the sbxz file already exists
[~, sbxzPath] = FileFinder( sbxInfo.dir, 'type','mat', 'type','sbxz' );
if isempty(sbxzPath)
% Load interpolation results
[~, zinterpPath] = FileFinder( sbxInfo.dir, 'type','mat', 'contains','zinterp' );
if ~isempty(zinterpPath)... |
e1e10328722b8aff5e8efdea61fc78bb2b45865ccac9cbc0825b8fdc6fedb541 | MATLAB | 1,878 | 41 | function [T0_vec, score_max] = custom_statistic(Wp, Clist, CID, threshold_GT)
% calculate test statistics from permutation test
all_pvec = squareform(Wp);
% get number of clusters
cluster_len = length(CID);
% define test statistic for each ... |
2b116ff75641cbb6f9f092edbeb80ec4692761e903d53f52c76470cfbaa3a08b | MATLAB | 1,879 | 63 | % the pattern separation toolbox: analyse spike train ensembles
% Copyright (C) 2022 Alexander D Bird
function [hamming_obj] = hamming_sparsity(input,output,num_params)
%HAMMING_SPARSITY Records Hamming distance (corrected for sparsity) between spike trains
if nargin<3 || isempty(num_params)
num_params=st... |
4c13c1c30f31b607e2faa99c1b6ccad254fcc0e5192d690f5c311090e1937c60 | MATLAB | 1,880 | 78 | cd ..\
load('foldersAllIndvFOV.mat');
cd('runingLocationConsistency');
load('E:\ID20211030\20211123Loc1Old\loc1Old\pcaica\cueAnalysisNew_sig\tempL.mat');
load('E:\ID20211030\20211123Loc1Old\loc1Old\pcaica\cueAnalysisNew_sig\tempR.mat');
tempLO=tempL;
tempRO=tempR;
load('E:\ID20211030\20211123New\loc1New\pcai... |
67125e563659af782f7c4913dcc630453062d80a84e1a073546ecb482b54a685 | MATLAB | 1,880 | 56 | tfce = tfceMex_maxtree_batch(T, E, H, calc_neg, geom, n_threads)
% Apply exact TFCE to many maps at once, one map per thread
% FORMAT tfce = tfceMex_maxtree_batch(T, E, H, calc_neg, geom, n_threads)
% T - N x B matrix, one T map per column
% E - TFCE parameter for extent
% H - TFCE parameter for... |
6722a0fca94ea6dfbb373def465c5480e07423d35b46b52f7229e8e36198db36 | MATLAB | 1,880 | 48 | %RunElectodesClassificationMatlabFunc
clear all
matlabImpute = true;
imputeIters=20;
%NumTreesVec = [10,20,40,80];
NumTreesVec = [80];
substractMouseMean = true;
%LeaveOut = 'Stimuli';
%LeaveOutVec = {'Stimuli','Session','mouse'};
LeaveOutVec = {'mouse'};
%ElectodesClassificationMatlabFunc(unifyContextClasses... |
6763793a21dd3c702bd2f8fb7bf63bbd9fa4ab3a97a14376bc01ab8eb5b16be2 | MATLAB | 1,881 | 69 | function ReducedDataArray=DimentionalityReduction_LEM(activity_mat_active_frames,p_neighbors_vec)
%Inputs:
%activity_mat_active_frames: N-by-T activity matrix, N is number of neurons
%and T is number of time frames (includes only active frames)
%p_neighbors_vec: 1-by-2 vector of portion of neighbors that are consider... |
877a514175c29f9befb2bbf74d9865f114d2027c0c1b8950227a85be485e0923 | MATLAB | 1,882 | 42 |
function hSubAx = plotLasagnaTracesFromCell(hFig, allNeuronsOnOffTraces, colors, varargin)
timePoints = (0: size(allNeuronsOnOffTraces{1}, 2)-1) /10;
if ~isempty(varargin)
timePoints = varargin{1};
end
cLims = ZeroCenteredBounds(cat(1, allNeuronsOnOffTraces{:}), [0 100]);
figure(hFig)
nNeurons = numel(allN... |
94c77fe068097871a66a9698096a837f1537b521f49dfb722bcc2aef32bdbcf0 | MATLAB | 1,882 | 69 | function WriteDigOutSingleChannel(devID)
% Flip Port0/Line0 of named device on and off at random intervals until ctrl-c is hit
%
% function nidaqmx.DO.WriteDigOutSingleChannel(devID)
%
% Purpose
% Example showing how to write to a single digital channel using software time commands.
% This is the most basic possible th... |
1c93c8aa2f539dd6a821b29312a583c640208d999ed784f0f7f8385888b04097 | MATLAB | 1,886 | 48 | %RunElectodesClassificationMatlabFunc
clear all
matlabImpute = true;
imputeIters=20;
%NumTreesVec = [10,20,40,80];
NumTreesVec = [80];
substractMouseMean = true;
%LeaveOut = 'Stimuli';
%LeaveOutVec = {'Stimuli','Session','mouse'};
LeaveOutVec = {'mouse'};
%ElectodesClassificationMatlabFunc(unifyContextClasses... |
b9808ce0b25f449113cdf564a7530ccbd38522e0ffbe672c2276a19900989722 | MATLAB | 1,887 | 86 | %first column = channel number on probe. Convention is ch. 1 is at top left of PCB
%and number wrap around in counter-clockwise fashion.
%second column = x coordinate, horizontal distance to reference electrode in microns. Convention is
%for reference electrode to be at bottom left corner of array when array
%points... |
e83f1ce8cde1ca4c49ae5261cd39fc3eee9da83177add10307c2cd1f799ef009 | MATLAB | 1,887 | 66 | function plot_ref(self)
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (a... |
a1b33127f9b1c3e301658498f1fba2fe17ebf405f6fb2035153b31dd9a28d388 | MATLAB | 1,889 | 57 | function self = choose_channels(self, varargin)
%choose_channels - Protected class method allowing the user to manually
% specify/create the channels structure
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it unde... |
b18aae9062dbcad8a971e5ab6d8dcc6f4dd55e81f8113e63d51d11e27dc4da0d | MATLAB | 1,889 | 66 | % MotionCalc.m
% Inputs:
% (1) Demeaned motion file from volume registration
% (2) Right hand force trace (downsampled, normalized, demeaned, pre-HRF convolution)
% (3) Left hand force trace (downsampled, normalized, demeaned, pre-HRF convolution)
%
% Outputs:
% (1) Average FD
% (2) Percent censored volumes at FD > 0.... |
ff32cb2bb705b89c42cccb8b8e6f7095f63d7978e7c31007ae891e5631440526 | MATLAB | 1,889 | 60 | classdef Test_CompositeImg_ui < matlab.unittest.TestCase
% ================================================================== %
methods (TestMethodSetup)
function clear_persistent(~)
utils.clear_persistent();
end
end
% ======================================... |
b3119407b3b7b180ab57f020563e12f36bba2a00a3b276b3562ef8374597346b | MATLAB | 1,890 | 48 | %RunElectodesClassificationMatlabFunc
clear all
matlabImpute = true;
imputeIters=20;
%NumTreesVec = [10,20,40,80];
NumTreesVec = [80];
substractMouseMean = true;
%LeaveOut = 'Stimuli';
%LeaveOutVec = {'Stimuli','Session','mouse'};
LeaveOutVec = {'mouse'};
%ElectodesClassificationMatlabFunc(unifyContextClasses... |
30cc1eb47a20f2377cc0ccba73811da9d8e97b870edc2ddcaedd25797df74e01 | MATLAB | 1,891 | 44 | function rawImg = from_files(varargin)
%from_files - Create a SCIM_Tif object from a list of files
%
% OBJ = SCIM_Tif.from_files() prompts for all required information and
% creates a SCIM_Tif object.
%
% OBJ = SCIM_Tif.from_files(FILENAME) creates an object from the
% specified filename(s). FILENAME must be a... |
5f3469174a96a2bb121a87bad1a618ff5177a7ba6dc821cae9978ee4eb50dce3 | MATLAB | 1,894 | 60 | function peakData = analyse_peak(trace, frameTime, pk, idx, width, ...
prom, pType, numPeaks)
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% ... |
7976ec4606b8a6f1e2e62e33ef4cc1448eda6e342662d555adb4e305454ee42d | MATLAB | 1,894 | 54 | function drawBrainOutlineOnSample(obj)
% Run the beam around around the brain outline
%
% zapit.pointer.drawBrainOutlineOnSample()
%
% Purpose
% Draw the brain outline onto the sample using the laser and scanners.
% Once started you can stop it with zapit.DAQ.stopAndDeleteAOTask.
% This... |
32b696a489843d1b819f215fec845029a0f604371d863948a77555cefe584161 | MATLAB | 1,898 | 51 | % op_CSIaddPhase.m
% Brenden Kadota, Sunnybrook 2022
%
% CSI version of op_addPhase. Takes in MRSI structure, zeroth order phase,
% second order phase, and pivot to apply phase corrections. Adds phase to either
% time domain or frequency domain depending on the data dype in the data field.
%
% Input:
% MRSIStuct ... |
13e6f309f94a3618b4462053624152a9d2636684937c0bb36bebbf3705514d39 | MATLAB | 1,900 | 51 | function SaveAllSingleAndMultiFromAllTetrodes_25_5_2017()
ClusterToAdd=1;
bins=0:1:5400000;
SpikesAlongTimeInMilliSec=[];
[SpikesfileList, SpikesFilesPath] = uigetfile('*.mat','Select neural spikes data files','MultiSelect', 'on');
prompt = {'Vector of clusters numbers:','Vector the ident... |
809c3c8a9479188f05fd594c4f767d81beb6ed711fe8a6367435811d768babdf | MATLAB | 1,900 | 54 | %op_CSIIntegrate.m
% Brenden Kadota, Sunnybrook 2021.
%
% USAGE:
% in=op_CSIintegrate(in);
%
% DESCRIPTION:
% Integrates the spectrum from ppmmin to ppmmax in all csi voxels.
%
% INPUTS:
% MRSIStruct = CSI FID-A data structure
% pmmmin = lower integration bounds
% ppmmax = upper integration bounds
% mode ... |
de5bf8c99410236b6adcf3fac11484e8999babef689d3e7b3dd36ec57fe3fb3e | MATLAB | 1,901 | 42 | %% Train mouse-specific models
mainDir = 'D:\2photon\';
mouse = {'DL112'}; % {'DL102','DL89','DL115','DL118','DL68','DL75','DL112','DL117','DL72','DL67','DL122'}; % D:\2photon\DL102
Nmouse = numel(mouse);
mouseLoco = cell(1,Nmouse);
tic;
for m = 1:Nmouse
mouseDir = strcat(mainDir, mouse{m},'\');
[~,mou... |
ce8c2e77e05ab974ff10f6d965593f9dc605c33603e352dad562ff50ff1fa21d | MATLAB | 1,905 | 84 | %first column = channel number on probe. Convention is ch. 1 is at top left of PCB
%and number wrap around in counter-clockwise fashion.
%second column = x coordinate, horizontal distance to reference electrode in microns. Convention is
%for reference electrode to be at bottom left corner of array when array
%points... |
7ec8ac8a6e5c3011e704a05e982c5154728b09083478afe981f41766ff09aa64 | MATLAB | 1,907 | 46 | classdef Test_ConfigFrameScan < matlab.unittest.TestCase
%TEST_CONFIGFRAMESCAN Summary of this class goes here
% Detailed explanation goes here
% ================================================================== %
properties
end
% ===================================================... |
674cf07d84b87ec31f9d84a88dc7e4b9a872b491590d7878a2e9f7cd7e4e5a19 | MATLAB | 1,909 | 44 | function rawImg = from_files(varargin)
%from_files - Create a BioFormats object from a list of files
%
% OBJ = BioFormats.from_files() prompts for all required information and
% creates a BioFormats object.
%
% OBJ = BioFormats.from_files(FILENAME) creates an object from the
% specified filename(s). FILENAME m... |
710808b33d8c90622ab191ff4b78d127c767f16ec60fa0ab2626c685632213ac | MATLAB | 1,915 | 80 | % the pattern separation toolbox: analyse spike train ensembles
% Copyright (C) 2022 Alexander D Bird
function [orth_obj] = orthogonalisation(input,output,num_params)
% ORTHOGONALISATION Records normalised dot product of the spike trains
if nargin<3 || isempty(num_params)
num_params=struct;
end
if ~isfie... |
cbedd8b19e0e655d93fc9e51d8bdf1cd1a2e2ed6df91ae633dfa6bcfa3e97bdd | MATLAB | 1,919 | 63 | clear all
close all
dataFileName = 'C:\David\Phd2020\ElectordesClassification\Data.xlsx';
NumTrees = 20
[DataMatrix, Labels] = GetDataMatrix(dataFileName);
%each column in DataMatrix is a single example
valid = sum(~isnan(DataMatrix))>0; %examples that are all nans are removed
DataMatrix = DataMatrix(:,val... |
a16d2f5ff1ab9f1ff7a1990b49671b3e15e2196fa63b5c354926498a960356c9 | MATLAB | 1,920 | 56 | function classlist = find_classlist()
%find_classlist - Return the list of non-default classes on the path
%
% This function is not intended to be called directly.
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it ... |
01b4abe1b4e1010d4f7933a93c51ebe753aeee31628a4e37ad9b8822b123d881 | MATLAB | 1,923 | 71 | function [status, errmsg] = ensureDirExists(pth)
% Make sure a directory exists, creating parent directories if needed
%
% [status, errmsg] = ensureDirExists(pth);
%
% Status = 1 if the path exists or is successfully created, 0 otherwise.
%
% ras 06/06.
if ~ischar(pth), help(mfilename); error('Need a path string'); ... |
2107e417ee3b221924f9717cbae4cea58e8c5430c3e255969d24935b2c4e8f73 | MATLAB | 1,925 | 63 | clear
close all force
warning on
imSize = [733, 977];
imSizeCent = fix([733, 977]/2);
y1 = imSizeCent(1)+(-130:70);
x1 = imSizeCent(2)+(-120:0);
y2 = imSizeCent(1)+(-130:70);
x2 = imSizeCent(2)+(0:120);
hWB = waitbar(0,'checking the trials ...');
%load tirals info
load('a0_0_bhv2trialStrct.mat');
NTrial = find([d... |
5662806574aba42bf079a04245647cb21aeb3e0e5b2ba19e3866ce3df0f69e66 | MATLAB | 1,925 | 75 | function y = nanmedian(x,dim)
% FORMAT: Y = NANMEDIAN(X,DIM)
%
% Median ignoring NaNs
%
% This function enhances the functionality of NANMEDIAN as distributed
% in the MATLAB Statistics Toolbox and is meant as a replacement (hence
% the identical name).
%
% NANMEDIAN(X,DIM) calculates the mean along a... |
6d534bbe11294cd02cd49e864382782fd585aa108e114a91512bf79fa38fa2f3 | MATLAB | 1,926 | 60 | function Downsdata=Downsampling(sub)
subnum=sub;
home_path=[pwd,'\dataset_mat\'];
blocknum=12;
condition=2;
frequency=1:1:60;
channum=64;
%channel_index=[48,54,55,56,57,58,61,62,63];%Pz¡¢PO5¡¢PO3¡¢POz¡¢PO4¡¢PO6¡¢O1¡¢Oz¡¢O2
datas=[];
rawdata=[];downsdata=[];Downsdata=[];
filename=[home_path,'data_s',num2str(su... |
e4fb298149a07892d6794fff701cb533f5f8930450e209c9278fb6a5233e8f76 | MATLAB | 1,926 | 66 | function imgTypes = choose_imgtypes(varargin)
%choose_imgtypes - Protected class method to choose image types
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as pub... |
eecfbbcb8a84b16dfad10fbf8cd39e8b972928e33ee472122ea9d98e354c95aa | MATLAB | 1,927 | 60 | function isDark = choose_dark_light(rawImg, strObject)
%choose_dark_light - Helper function for choosing dark or light plasma
%
% This function is not intended to be called directly.
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it an... |
f25cd497114f3ef9cf6819125b1f4d4adf9aff44b508e6c8962fa579b5488946 | MATLAB | 1,930 | 35 | function [ blankBool ] = HasBlankEpoch( dataStruct )
% if dataStruct is a stimParams struct, evaluates whether the stimParams
% struct contains a blank bout. there is a blank bout by definition when
% randomize is set to 1. there is also a blank bout when the first
% condition specified is a blank.
%
% if dataStr... |
24a5ae203a1f8c414ca052dd90d316dd26370a537083b3b9bc745e46b7419a7d | MATLAB | 1,931 | 42 | function t2n_plotCurrSteps(targetfolder_data,neuron,steps)
% This function plots one or multiple current steps, which had been
% previously simulated and saved with t2n_currSteps. The exact loaded simulation
% is defined by neuron.experiment.
%
% INPUTS
% targetfolder_data destination of temporary results file
% n... |
ba6cb94b0c29e625f27d1b32a87edaeea2e6534d68694b89d8dd9771484189b5 | MATLAB | 1,940 | 60 | function [roiImg, nROIs] = plot_ROI_layers(self, roiMask, varargin)
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation... |
058a4b425f568faa48fe3650776cd851e9a3f6c34743578191319b3a35198fb9 | MATLAB | 1,944 | 58 | function pointBeamToLocationInImage(obj,~,~)
% Obtain mouse cursor position and point beam here
%
% function zapit.gui.main.controller.pointBeamToLocationInImage(obj,~,~)
%
% Purpose
% This callback function obtains the mouse position in the
% image and uses this to point the scanners to thi... |
b1551e3956b93665c32a441f2e483071d200a422e9abe16dad6b0c9b9775481f | MATLAB | 1,945 | 90 |
clear all
close all
currentdiectoryLocation=pwd;
addpath(strcat(currentdiectoryLocation,'/functions/'))
[decoder.preprocessing.bandPassFilter.b,decoder.preprocessing.bandPassFilter.a]=butter(2,[8 30]/(512/2));
dataLocation = 'expertMIData';
allRunsInfo = dir(fullfile(dataLocation, '*.gdf'));
nRuns=size... |
d027a58c7c5187e20032a8374a76a7c2ca8b52879320b1c7a62352ee4d4a41c0 | MATLAB | 1,945 | 77 | % IN_C Applies inpolygon on contour.
% scheme package
%
% [IN, ON] = in_c (X, Y, c, dx, dy)
% ---------------------------------
%
% If c is a contour obtained from a single isoline contourc, checks if
% points X and Y are located IN the largest contour or ON the outer
% boundaries of the largest contour (using inpoly... |
6a84093fdc2b81acd3a0532149fc54e0e9a36d05cbdf17d5aafbdfa84c34dc01 | MATLAB | 1,946 | 63 | function Problem_figures(Y1_pred,Y1,Y2_pred,Y2,E,Em,EE)
figure
plot(1:length(EE),EE,'Color',[0.4660 0.6740 0.1880])
hold on
plot(1:length(E),E,'Color',[0.4940 0.1840 0.5560])
plot(find(E==Em),Em,'h','Color',[0.9290 0.6940 0.1250],...
'MarkerSize',12)
xlabel('Iteration');ylabel('MAE %');xlim([1 length(E)])
... |
0f65100640c9bc68b56ff20c50aee22d04cf0003b0012943547a6480e9e0cc16 | MATLAB | 1,950 | 48 | function [pixelShift, estSNR, windowCorrAvg] = ...
calc_pixel_shift(windowCorrImg, nPixelsToFit)
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as publishe... |
58868aac5eed155f90224efb45cb9170e0509dbf209801ffcd3e4045c9f390ba | MATLAB | 1,950 | 72 | function d = euclidean(a,b,df)
% EUCLIDEAN - computes Euclidean distance matrix
%
% E = euclidean(A,B)
%
% A - (DxM) matrix
% B - (DxN) matrix
% df = 1, force diagonals to be zero; 0 (default), do not force
%
% Returns:
% E - (MxN) Euclidean distances between vectors in A and B
%
%
% Description :
% T... |
a359f9606ff6e237e5e5019064cba2e2b85269f9b9314a985aa1f8df369ebe77 | MATLAB | 1,950 | 84 | function sff = sff_extractCalibrationTrajectories(sff)
%SFF_EXTRACTCALIBRATIONTRAJECTORIES
%
% RS, 05/2022
xyt1 = sff.gp1.cln.xyt;
xyt2 = sff.gp2.cln.xyt;
dk = sff.clb.dk;
sff.clb.calPoints = extractCalibrationPoints(xyt1,xyt2,dk);
sff.clb.calPoints = spreadCalPoints(sff.clb.calPoints,1000,sff.prm.mov.f... |
2a81ab2860a2ebb3c3dc983e60f668a1044fbb75de5848744e85a12f014d18c4 | MATLAB | 1,952 | 80 | clear
clc
%% set path
addpath('...\fcn')
addpath(genpath('...\ext'))
%% set directories
data_dir = '...\mammals_connectome';
out_dir = '...\output';
%% load data and set parameters
thresholds = {'0' '0.05' '0.1' '0.15'};
curr_thresh = 1;
load(fullfile(data_dir,...
sprintf('cents_repani_sta... |
eb631ab7c6f7d3d1fe4396e49b0628f5524639c25b74d813b2e3e40ca2479d4c | MATLAB | 1,954 | 54 | % Needs to be run from the code directory
clear; close all;
[pathstr,~,~] = fileparts(pwd);
usedir = pathstr;
[pathstr2,name,ext] = fileparts(usedir);
maindir = [pathstr2 '/ISTART-DataInBrief/bids/sourcedata/'];
cd ../bids/
outputdir = pwd;
cd ../code/
warning off all
subs = [1001, 1002, 1003, 1004, 1006, 1007,... |
b4a65e06efc8d8d191699b40daf7077349ac5a6f88e242720f6e907a57c7229b | MATLAB | 1,958 | 74 | % DEMOs reference
%% scale1_tree
clf; shine;
for ward = 1:5,
HP = plot_tree(scale_tree(sample2_tree,[1+(ward-1)/8 1 1]),[],[],[],32);
set(HP,'facealpha',ward/10);
end
axis off tight
tprint ('DEMO_scale1_tree','-tif -HR',[20 20]);
%% sholl_tree
clf; shine;
sholl_tree (sample2_tree, 20,'-s');
title ('');legend... |
59a7f9caa573b8a7478da3334c07ca1b5970b4bf3ab9921285f525e46c560c58 | MATLAB | 1,960 | 90 | %%
good = 1;
bad = 0;
use = good;
if use
cd('Z:\labMembers\YG\data\learningAnalysis\summaryManyMice_includingOldEnvGoodMoreMice\commonUniqueCells')
outFolder = 'D:\Novelty_Analysis\clusterMan\good';
else
cd('Z:\labMembers\YG\data\learningAnalysis\summaryManyMice_includingOldEnvBadMoreMice\comm... |
01167a93ff3246e48e8813365cdfb1b289112e911459292cc2cf939abbb8c78b | MATLAB | 1,963 | 64 | function trialmat = sim_trials_tf(reg_f, diff_f, num_trials, Fs, num_sec, noise_ratio, amp_ratio1, amp_ratio2)
% function trialmat = sim_trials_tf(reg_f, diff_f, num_trials, Fs, num_sec, noise_ratio, amp_ratio1, amp_ratio2)
%
% This function creates a single matrix of trial data, with each trial as a
% separate column.... |
6c16ce8a1397ccac13e8f01769908b73c7040830db31e459b2a912d29e089506 | MATLAB | 1,963 | 68 | function [keep,msStim] = st_keepWindowStim(pm,keepAllPoints)
if notDefined('keepAllPoints')
keepAllPoints = 1;
end
% irf_file = [pm.Temporal.IRFpath '/' pm.Temporal.Name '_irf.mat'];
try
% tmpSeq = load(fullfile(pm.Stimulus.DataPath, [pm.Stimulus.Name '.mat']));
tmpSeq = load(pm.Stimulus.values,'sequ... |
2b6c22c5ddb8d074e5d3b34db8ba2f9622c48f5124877394606d656a46e6dca7 | MATLAB | 1,964 | 69 | function gatherCheckpoints(vw,params,wProcess)
%%
checkdate = Constants.getDir.sessionDate;
tm = params.analysis.temporal.model;
tm = strrep(tm,'-','_');
checkDir = getAllFiles(sprintf('./checkpoint/%s',checkdate),...
'checkpoint.mat',1);
checkDir = checkDir(contains(checkDir,tm));
checkDir = checkDir(~contains(ch... |
9c2c5d226e17ea0d137c66f4ed90fc8451f62b2578a7ab038c9a2b0632e8e2ff | MATLAB | 1,964 | 96 | function [t1, t2, wl, spectra1, spectra2] = InsRead2DT_v6(file)
% [t wl spectra1 spectra2] = InsRead2('file.ins')
% Reads a 2 channel ins file
% t = time vector in sec
% wl = wavelength vector
% spectra1 and spectra2 = transmission spectra for the two channels
ID = fopen(file);
for i = 1:3
a = fgetl(ID);
end
wl... |
67b7245991910a50aad65f3c404b3d942971c4d32551e296825006ce0f4f9d6c | MATLAB | 1,966 | 53 | function maskOut = dilate_erode(self, maskIn, pixelSize, frameRate)
%dilate_erode - Dilate and erode ROI mask
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as pub... |
48295dd1c457f2af28fff471dbd01316829098cdca4d5cc37b39038ab0ce8cde | MATLAB | 1,970 | 62 | % ROTATION_MATRIX Calculates rotation matrix for given angles.
% (scheme package)
%
% M = rotation_matrix (degx, degy, degz, hand)
% --------------------------------------------
%
% Treats the different rotations in order x then y then z. In other words
% it's the rotation_matrix R = Rz*Ry*Rx. Degrees of rotation are... |
704ac45156ab5fb307860fd137d7b27d1eeb48e9ceded5d830eba26d8dfed3e4 | MATLAB | 1,974 | 61 | function out = LK_SpikeDensityPlot(wavs, sr)
%
% LK_SpikeDensityPlot plots the spike waveforms of a given unit as a
% density plot.
%
% Input:
% wavs: n x m matrix with waveforms from n spikes
% sr: sampling rate
%
% Output:
% spikeDensity: p x m matrix with waveform density
% spikeTime: 1 x m vector with time ... |
339ac6a6bfa5628a348347aec79c7618cb47fe8461ef8ee9997c90d2ca06f65d | MATLAB | 1,976 | 52 | % Step 4: deconvolution
% Reference: A. Orth, etc.,Optical fiber bundles: Ultra-slim light field imaging probes
% last modified 2022-08-20
% by Peisheng Ding (peisheng.ding@mpi-halle.mpg.de, peisheng.ding@mail.utoronto.ca)
clear
addpath('files')
load('R_E_psf') % stimulated psf, psf in center, 5D matrix with ... |
69ca264a2f258ea6c17b0f4c24957a5e8c121c48c4144bd68a4392f4669722db | MATLAB | 1,982 | 76 | %sim_onepulse.m
%Robin Simpson and Jamie Near, 2014.
%
% USAGE:
% out=sim_onepulse(n,sw,Bfield,linewidth,sys)
%
% DESCRIPTION:
% This function simulates a pulse-acquire experiment with an ideal
% (instantaneous) excitation pulse and an assumed lorentzian lineshape.
% The function calls the function 'sim_Hamiltonian'... |
3d6b9642a3309324c1dcdc7a122dba171a68c5729a28231038ac71ddd9de9361 | MATLAB | 1,984 | 69 | function writeRandomSingleChan(devID)
% Write random numbers to AO0 of device devID using DAQmx .NET
%
% function nidaqmx.AO.writeRandomSingleChan(devID)
%
% Purpose
% Example showing how to write random numbers to AO0 of device devID using DAQmx .NET
% This code plays out 1000 random numbers then stops and resets the ... |
85795c41b436ea3df72598b0e8ac33782eb102815e520637ab5430f1d87ef82f | MATLAB | 1,986 | 79 | function B = FilterFermi2D(A,LowCutOff,HighCutOff,SizePxl)
%% Filter A with 2D Fermi filter
% A is an array with at leat 2 dimentions
% LowCutOff and HighCutOff are the low an high cut-off frequency (cyc/mm)
% SizePxl is the pixel size (mm)
%
% B is an array with same size as A
%
%
% YC at ES lab
% Created ... |
ea3e98ba3edcf543808a21c372e1bd78779679c6d2ebd8556a963fa2a15c28bd | MATLAB | 1,986 | 95 | %% visPlotSum
clear all; close all; clc
load('dataVis.mat')
useDays = 1:10;
cats = {[1 3:5 8 10:14],[2 6 7 9]};
catNames = {'Good Learners','Bad Learners'};
catCols = {[0 1 0],[1 0 1]};
yLab = 'd-prime';
%% Plot time course
figure; hold on
for ii = 1:2
dataCur = dataVis(useDays,cats{ii});... |
2c07c7d5e94d103e076bb167e090e0514ef548355bb2b462922dcd9c0c44c5e5 | MATLAB | 1,989 | 51 | function varargout = funRawDummy(zoomIn, varargin)
%funRawDummy - A dummy function
%
% PXSIZE = funRawDummy(ZOOM) returns an array of ones the same
% size as ZOOM. This is useful when there is no calibration defined as
% means that the final results will be in units of pixels rather than
% units of length (e.g... |
4ccccff4bbbc2dfe29de9ff9b89f44403e6759ca60ca2a124fbe78d3e94eff0b | MATLAB | 1,990 | 77 | function d = L2_distance(a,b,df)
% L2_DISTANCE - computes Euclidean distance matrix
%
% E = L2_distance(A,B)
%
% A - (DxM) matrix
% B - (DxN) matrix
% df = 1, force diagonals to be zero; 0 (default), do not force
%
% Returns:
% E - (MxN) Euclidean distances between vectors in A and B
%
%
% Description :
... |
0b869abac1eb13583576c98bb08bcd99364595fbb5115fe6d77e23970273d676 | MATLAB | 1,991 | 41 | % Organise Scan Data
% for Zapit eLife paper 2026
% Michael Lohse 2026
% loadRawData (in .../MiLo_20211201_DMDM_CausalCortex_fromwinstor/Behavioural_Inactivation_Sessions/Main/Cortex_Wide_Scanning_Grid/)
clear Trials TFStimuli
for M=1:5 % Mouse Counter
% Session Info
Trials{M}(1,:)=zeros(1,length(Full_Beh(M).Ra... |
bf944c2b7cb080450a5d51ec64d4af4b2b73d4b9256dda5746f37da06be65732 | MATLAB | 1,992 | 84 | % BOUNDARY_TREE Produces spanning boundary of a tree.
% (trees package)
%
% [bound] = boundary_tree(intree,c,options)
% --------------------------------------
%
% returns a boundary structure in two- or three- dimensions.
%
% Input
% -----
% - intree ::integer: index of tree in trees or structured tree
% - options::... |
8ba435736a773cd3c56f63747aa780dc3c79c0efd4ed89beb192b1ae9bebfe87 | MATLAB | 1,994 | 49 | function f = LK_PlotCoactivity_20231015(dt)
%
% LK_PlotCoactivity_20231015 plots a coactivity map.
%
% Input is a structure with multiple fields.
% Output is a figure handle.
%
% Lukas Kunz, 2023
% create figure
f = figure('units', 'centimeters', 'position', [2, 2, 7.4, 6]);
% plot data for this data group
axes('uni... |
6f177ddaa1f2b14dcee1127c1806e97b0f2f2778c73f0fc38dce0d78f023e809 | MATLAB | 1,996 | 72 | % op_creFit.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% parsFit=op_creFit(in,ph0,ph1);
%
% DESCRIPTION:
% Perform a Lorentzian lineshape fit to the creatine resonance in a brain
% proton MRS dataset.
%
% INPUTS:
% in = input data in matlab stucture format.
% ph0 = zero order phase to add to the input... |
eaf3c486aeb16a4fcd3c5f9192775fbe6129419593c530992a12f6282aaf87a1 | MATLAB | 1,997 | 56 | function varargout = parse_opt_args(argsDef, argsIn)
%parse_opt_args - Parse optional arguments & replace w/user-supplied values
%
% This function is not intended to be called directly.
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it... |
6ea3cdf33bc832ba24debc9a6c4634a51f8c2a5ce1ec55d7bdc56f502619a661 | MATLAB | 1,999 | 73 | function draw_top_down_ccf_outline(atlas_data)
% Draw a top-down view of the Allen Atlas in coords from bregma
%
% function nte.utils.draw_top_down_ccf(atlas_data)
%
% Inputs [Optional]
% atlas_data - output of aratopdown.prep_data_for_top_down
%
% Supplying atlas_data will speed up app... |
ef9116c89145a17662c887db50e9034f5231e3e7e1a7a7452c70039fccd5c057 | MATLAB | 1,999 | 52 | function pixelSizeOut = calc_pixel_size(self, zoomIn, imgSizeIn)
%calc_pixel_size - Calculate the pixel size
%
% PXSIZE = calc_pixel_size(OBJ, ZOOM, IMGSIZE) calculates the pixel size
% (PXSIZE) for a given calibration object (OBJ), zoom values (ZOOM) and
% image size (IMGSIZE). ZOOM must be an array of positive ... |
c6e1f4234a0455da0212a004f3aaa184f000e5c97296c002a2cd77031dc8639d | MATLAB | 2,000 | 81 | %%% baseline_plot.m
%%% Omkar N. Athavale, May 2023
%%% Run and plot simulation for 120 s with stimulation at varying levels
addpath('../matlab_common/')
% run simulations with stim for 60 seconds
[t01, T01, Vm_ICC01, Vm_SMC01] = run_sim_stim(0, 10);
[t10, T10, Vm_ICC10, Vm_SMC10] = run_sim_stim(10, 0);
[t11, T11, Vm... |
005182d45af1fc62a42e2ec40422de4ac086cbb8361768755bf5a21c063a5e39 | MATLAB | 2,002 | 71 | function [loglik] = EEGfMRIPav_cbm_mod01(parameters,subj)
% Standard Q-learning model with delta learning rule.
% ----------------------------------------------------------------------- %
%% Retrieve parameters:
% 1) Feedback sensitivity:
nd_rho = parameters(1); % normally-distributed rho
rho = exp(nd_r... |
0128dc549977a2281422911debceee10d76623abcf2c5ed112a79667a119fe7c | MATLAB | 2,002 | 67 |
clear
close all force
imSize = [733, 977];
hWB = waitbar(0,'checking the trials ...');
%load tirals info
load('a0_0_bhv2trialStrct.mat');
I = arrayfun(@(x) isfield(x.analyze,mfilename), dataTrl);
if any(I)
I(I) = arrayfun(@(x) x.analyze.(mfilename), dataTrl(I));
end
NTrial = find(~I | true);
nTrial = numel(NTr... |
253fc8601c2d2ecbb311e8cdf5b0090ac241cc18ce869d45c5c0a4785c361326 | MATLAB | 2,004 | 58 | function varargout = cell_array(val, varargin)
%cell_array - Check that the value is a cell array
%
% cell_array(val) checks that val is a cell array. If it is, nothing
% else happens; if it is not, the function throws an exception from the
% calling function.
%
% cell_array(val, 'VarName') includes VarName in... |
2b0b6bf42869eb60912b3653d389a58cdc99ebfbdb1425b181ea2644b1153167 | MATLAB | 2,004 | 263 | %first column = numbering of channels on probe PCB connectors looking from
%the top.
%second column = numbering of channels on head stage amplifiers.
headstagewiring=[
1 26
2 27
3 28
4 29
5 30
6 31
7 32
8 25
9 24
10 23
11 22
12 21
13 20
14 19
15 18
16 17
17 16
18 15
19 14
20 13
21 12
22 11
23 10
24 9
25 8
26 7
27 6
2... |
d00869e7fd5486191b3210c204c646b4be00e7b0e19df93ba840a94e44e016ee | MATLAB | 2,012 | 53 | load(fullfile(dataFolder,'EEG_data','data_sample_time_series.mat'),'time','eeg','ptID');
load(fullfile(dataFolder,'EEG_data','data_time_information.mat'));
t0 = timeInfo.infusion_onset-timeInfo.object_drop;
red = clrsPT.qualitative_CM.red;
CM = clrsPT.iridescent(1e3);
black = CM(end,:);
marsh_model_analysis;
fig =... |
a32a73020a320451dd79bc84abcf06f35655b84a1c81358191fb72bd03062e77 | MATLAB | 2,014 | 51 | function self = post_process_velocity(self, pixelSize, lineTime)
% Copyright (C) 2017 Matthew J.P. Barrett, Kim David Ferrari et al.
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, e... |
1fdc7883b77c3c7f36e459513977f4de4082d0ec6c656bf38649428b30f56cff | MATLAB | 2,015 | 49 | function vec_gKa = range_conductanceKa(kainfo,tree)
% nainfo: gka, slope, proximal_limit,
% proximal limit: calculation comes from the Jarsky et al., 2005 model
% the maximum path length of Jarsky tree is 818.3232um, therefore, 100um
% (which is the proximal limit they set) corresponds to the 12% of that
% maximum pat... |
4de828c5622f8fef27b415bc302b74f441fab05084da3c24a6337e2c8ec6361f | MATLAB | 2,018 | 63 | function ha = tightSubplot(Nh, Nw, gap, marg_h, marg_w, parent)
% tightSubplot creates "subplot" axes with adjustable gaps and margins
%
% ha = tightSubplot(Nh, Nw, gap, marg_h, marg_w)
%
% in: Nh number of axes in hight (vertical direction)
% Nw number of axes in width (horizontaldirection)
% ... |
cac7f27c86555143e85c3d380c06ef5b4bce553f4a12350a0dd3cdd7a7181fd4 | MATLAB | 2,018 | 69 | % op_autophase.m
% Jamie Near, McGill University 2015.
%
% USAGE:
% [out,phaseShift]=op_autophase(in,ppmmin,ppmmax,ph,dimNum);
%
% DESCRIPTION:
% Search for the peak located between ppmmin and ppmmax, and then phase the
% spectrum so that that peak reaches the desired phase.
%
% INPUTS:
% in = input data in ... |
045815dc14bf528c264f96c9f34bfd5b024975b2ae334220d8d83a3705e665c1 | MATLAB | 2,019 | 58 | function varargout = char_array(val, varargin)
%char_array - Check that the value is a character array
%
% char_array(val) checks that val is a character array. If it is,
% nothing else happens; if it is not, the function throws an exception
% from the calling function.
%
% char_array(val, 'VarName') includes ... |
3481be545419dd9f81a4b241f43a3f0058cb326ac32f983b6b5ab6d1ce3c9edc | MATLAB | 2,020 | 68 | % for i = 1:10
[eeg1,eeg2,eeg3] = oscillation_types;
% [psd1(:,i),f] = pmtm(detrend(eeg1,'constant'),2,[],1e3);
% [psd2(:,i),f] = pmtm(detrend(eeg2,'constant'),2,[],1e3);
% [psd3(:,i),f] = pmtm(detrend(eeg3,'constant'),2,[],1e3);
% end
return;
clrs = clrsPT.lines(3);
figureNB;
subplot(3,1,1);
plot(... |
3e0b14fe4b75c16281f57ccff88a70753ed6b033a14840b021ac4527ddde32a2 | MATLAB | 2,025 | 80 | function y = nanvar(x,dim,flag)
% FORMAT: Y = NANVAR(X,DIM,FLAG)
%
% Variance ignoring NaNs
%
% This function enhances the functionality of NANVAR as distributed in
% the MATLAB Statistics Toolbox and is meant as a replacement (hence the
% identical name).
%
% NANVAR(X,DIM) calculates the standard dev... |
c1a191ab2e69345b28db28566ffbfb9b3f90aba2b92b8101587282f1c7fe6165 | MATLAB | 2,027 | 54 | function mv_print_regression_info(cfg, X, Y)
% Prints information regarding the regression procedure, including the
% cross-validation procedure and the dimensions of the input data. This
% function is called by mv_regress.
%
% Usage:
% mv_print_regression_info(cfg, <X, Y, X2, Y2>)
%
%Parameters:
% cfg - configur... |
f6159af231398b4d5d8f25a463722ef3ea569bb8e32bd3998298a49dd337490f | MATLAB | 2,031 | 60 | function [settings,allValid] = checkSettingsAreValid(settings)
% Check that all settings that are read in are valid
%
% function [settings,allValid] = zapit.settings.checkSettingsAreValid(settings)
%
% Purpose
% Attempt to stop weird errors that could be caused by the user entering a weird setti... |
0d498ec8845fddbf1cb0aa87d77a965869a3be067614031f6233094eecea7c90 | MATLAB | 2,037 | 55 | function strOut = varName(varargin)
%varName - Supply a default or user-specified variable name for error msgs
%
% str = varName() supplies a default variable name ('value') for use in
% error messages.
%
% str = varName('VarName') returns VarName as the variable name. If
% VarName is empty, the default variab... |
d8423701265dd0c5fc550c66c6121cec7ca1196b2f67419342a9a0e93c3c96db | MATLAB | 2,037 | 66 | function make_docs(varargin)
%make_docs - Publish the documentation as html files
%
% make_docs() publishes all m-files contained in the CHIPS_rootdir/doc/m/
% directory to html files, which are output in the CHIPS_rootdir/doc/html
% directory.
%
% make_docs('outputDir', OUTPUTDIR) ouputs the published document... |
356a8a088d9e3408cf5521855d1c939d5b23b4a03daac2091774a64fadeb1982 | MATLAB | 2,038 | 28 | % Example callback function for analog input logging. Converted from csv to binary using Matlab example logData.m
% Copyright 2011 The MathWorks, Inc.
% This funcion is called once the number of acquired time points exceeds
% src.NotifyWhenDataAvailableExceeds.
% The latest analog input data will be written to the ... |
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