sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
0f9b775a7a437eb687c2c77bd574387b21786d8b178ab607b05920e8fcd0fcc0 | MATLAB | 1,276 | 42 | classdef CurrentClampStimulusSeries < types.core.PatchClampSeries & types.untyped.GroupClass
% CURRENTCLAMPSTIMULUSSERIES Stimulus current applied during current clamp recording.
methods
function obj = CurrentClampStimulusSeries(varargin)
% CURRENTCLAMPSTIMULUSSERIES Constructor for CurrentClampStimulusS... |
1d3bb2b028cc7280bc3b4c115a0ad86cb0cbedfcff4cb1dc75dd93b16c12bc09 | MATLAB | 1,276 | 42 | classdef VoltageClampStimulusSeries < types.core.PatchClampSeries & types.untyped.GroupClass
% VOLTAGECLAMPSTIMULUSSERIES Stimulus voltage applied during a voltage clamp recording.
methods
function obj = VoltageClampStimulusSeries(varargin)
% VOLTAGECLAMPSTIMULUSSERIES Constructor for VoltageClampStimulu... |
eee0c94adb5127c48bc3b5defd97e55f4f0706ca63a009fb35bd4f2629fe8c67 | MATLAB | 1,276 | 47 | %% [B0_dir, TAng] = get_B0_dir_from_nifti(nii,B0_dir)
%
% Input
% --------------
% nii : NIfTI format structure from load_untouch_nii.m
% B0_dir : default B0 direction (optional, default in z-direction [0;0;1])
%
% Output
% --------------
% B0_dir : main magnetic field direction with re... |
0cf4cc892fc349ccd1d179514dcf4229d6677038b6961a6b8a232867cc1c6534 | MATLAB | 1,277 | 55 | %
% Mask approximation of rank 1. We use the row-column (RC) algorithm
% from [1] and use SVD to initialize the eigenvectors.
%
% [1] Estimation of Rank Deficient Matrices from Partial Observations:
% Two-Step Iterative Algorithms, Rui F. C. Guerreiro and Pedro M. Q.
% Aguiar.
%
% PARAMETERS
% a (m*n) Matr... |
1f6e8b534a8aeed58b36f3c948e2b624340a6fa7a5b68fe36c78ce70ddd0c6e1 | MATLAB | 1,277 | 67 | function results = vl_test_aib(varargin)
% VL_TEST_AIB
vl_test_init ;
function s = setup()
s = [] ;
function test_basic(s)
Pcx = [.3 .3 0 0
0 0 .2 .2] ;
% This results in the AIB tree
%
% 1 - \
% 5 - \
% 2 - / \
% - 7
% 3 - \ /
% 6 - /
% 4 - /
%
% coded by the map [5 ... |
48ff7b84869624343e0b40ce7d056ac0a3089da6a33b77a3dd3daf1ed261cd9c | MATLAB | 1,277 | 47 | function [xx,density] = findPointDensity(points,sigma,numPoints,rangeVals)
%findPointDensity finds a Kernel-estimated PDF from a set of 2D data points
%through convolving with a gaussian function
%
% Input variables:
%
% points -> N x 2 array of data points
% sigma -> standard deviation of smoothing gauss... |
5bc119cda1922856d8271ffa2c87397380ca72e48154c070752caeaf1303ed72 | MATLAB | 1,278 | 32 | function motion_summary_BIDS(motion_numbers_file,FD_thresholds_file,output_folder,output_prefix)
load(motion_numbers_file)
load(FD_thresholds_file)
motion_indices = 6:5:51;
remaining_seconds = zeros(1,length(motion_indices));
FD_thresholds = zeros(1,length(motion_indices));
FD = motion_numbers.FD;
DVAR_pre... |
f43d476b982f64bb1346cf79d8457ee80089845c9947655c8571368a42ce3bc9 | MATLAB | 1,278 | 34 | function upper_bound_similarity(Sessions,Area,threshold,Ndir,Nbins,t_from,t_upto,edges_dur_bin)
%% upper_bound_similarity calculates the upper bound of the similarity between trajectories for all recordings denoted in Sessions and Area
%
% INPUTS
%
% Sessions: cell array containing the names of the sessions to be ... |
374e327f1862747ff9aa6ce430154e7dbd9063527b3f30465cbc70031559bc12 | MATLAB | 1,279 | 43 | % madRmOutliers.m
%
% Function that removes outliers from vector where outliers are greater
% than x MADs away from the median, where x is a user specified parameter
%
% INPUTS:
% inVec - input vector
% numMADs - number of MADs away to consider as outlier
%
% OUTPUTS:
% outVec - output vector, which is input vec... |
25f9aa798e9bb6e326a1385c36b751a2c3a73e78f1a68b37bd26f22192fde277 | MATLAB | 1,280 | 44 | % mglGluPartialDisk - draw partial disk(s) at location x,y
%
% $Id$
% usage: [ ] = mglGluPartialDisk( x, y, isize, osize, startAngles, sweepAngles, color, [nslices], [nloops] )
% by: denis schluppeck
% date: 2007-03-19
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING... |
e79e5b409dddcf6b984e02cd940571e572a88f986781dc0e929cc659577cb985 | MATLAB | 1,280 | 57 | function [RRa_Hz, HRa_Hz,RR_Hz, HR_Hz]=read_aliased_PMU_data(path_PMU_data,TR)
f=filesep;
%path_PMU_mat=strtrim(ls([path_PMU_data f '*' f 'PMUextracted.mat']));
path_PMU_mat=strtrim(ls([path_PMU_data f 'PMUextracted.mat']));
path_PMU_mat=regexp(path_PMU_mat,'\n','split');
n_bold=size(path_PMU_mat,2);
RR_Hz=zeros(n_bol... |
b8d0c013bc9e3a49a73aa102fcd01aaf4f2afed4dc107b7b4ada6ca7b59c029c | MATLAB | 1,281 | 49 | function R2starmap = R2star_ARLO(GREMag, TEs, BrainMask)
% R2starmap = R2star_ARLO(GREMag, TEs, BrainMask)
%
%% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
%
% calculat R2* maps from GRE Magnitude, using the ARLO method
% Ref: Pei et al, MRM 73:843 2015
classname = class(GREMag);
N... |
c37fa1b768170752fdb4d18465302a4e50abdeae580689ae08394006cb3afaca | MATLAB | 1,281 | 48 | % This example demos options for plotBrainSensitivity(). If plotted
% alongside plotProbe() and plotROI(), the probe, it's optodes, and a
% spatial brain sensitivity plot can show areas of high channel density
clear all
%% Design Parameters (module, roi)
probe.module = createModule(4, 30); % nsides, mdimension
probe... |
bff6a538b052de963ce9561559b1deaa60d28240e11008579f4b019f8e3961ee | MATLAB | 1,282 | 51 | function [trial,nStim] = st_mkTrial(stimprm,fs)
%
% function [stimulus, time] = st_fMRIStimulus(with0OrNot)
% INPUTS:
% stimprm : Stimulus struct [variations X prms]
% - prms : [on off trialDur framerate]
% - on : on duration (nFrame)
% - off : isi (unit: nFrame)
% ... |
6143901873a496016a38581a0818b9a38dfbcdc248fcf69a8f351ac298c08b36 | MATLAB | 1,283 | 53 | function dist = bootstrapdim(m,dim,fun,num,sz,dim2)
% function dist = bootstrapdim(m,dim,fun,num,sz,dim2)
%
% <m> is a matrix
% <dim> is the dimension along which to draw bootstrap samples
% <fun> is a function that takes a bootstrap sample and outputs a matrix
% <num> (optional) is number of bootstraps to take. defa... |
9d3f1e646858800d82509efe75500180dacc9dbab3a563eec3e60b44f5a53f10 | MATLAB | 1,283 | 44 | %% Main Motion Censoring Function
function logical_removal_vector = power_2014_FD_only_censoring(FD_vector,FD_threshold,skip,expected_contiguous_frame_count)
% Caluclate and combine the FD and DVAR removal vectors
FD_removal_vector = censor(FD_vector,FD_threshold);
logical_removal_vector = contiguous_frame_censor(FD... |
fc3712aef90ef45926c7afbf829276aa44aca4d8673f582f2f7aa5f28b47ccf6 | MATLAB | 1,283 | 36 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
1aa0e57060c3efbfc1e6fee2b55e023f4fa7741975c873b54ebb3ed2f6b79fdc | MATLAB | 1,284 | 77 | <<<<<<< HEAD
function [EER, EERlow, EERhigh, index] = computeEERIndex_classic(FAR, FRR)
% calcolo le posizioni di confine
t1 = min(find(FRR>=FAR));
t2 = max(find(FRR<=FAR));
% Controllo la combinazioni che da errore complessivo inferiore
if (FRR(t1) + FAR(t1)) <= (FRR(t2) + FAR(t2))
EERlow = FRR(t1);
EERhi... |
fd9da8b19fa8f57acab45385e289f0f1f0ed59c5a3e7ca865398630d6d871f30 | MATLAB | 1,284 | 37 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
1ad5250bb6c1cd087f770fe90cfa9920124c29a8a3f6c2d5cf9a8323b309be8d | MATLAB | 1,285 | 33 | % Calculate EEG-fMRI spatial FC correlation
% Data Figure 2 and Supplementary Table 4 + 5
%
% 2022-08-22 Jonathan Wirsich
[confs, confs_label, groups, eeg_conn_types, bands, atlases, serialized_path] = init_serialized_conf_tle();
for atl=1:1
%load connectomes
[allgroup_mean_fMRI, allgroup_mean_EEG, allsub_fMR... |
680014958e344deb8d7ceeecd4df3a26448a57a4fdfa6877bb2c660040a9db34 | MATLAB | 1,285 | 36 | function write_csvs(output_csv_folder_name, data, names)
% Write features to a folder full of csv files, one file per fly.
ensure_folder_does_not_exist(output_csv_folder_name) ;
ensure_folder_exists(output_csv_folder_name) ;
n_flies = size(data,1) ;
n_frames = size(data,2) ;
n_feats = size(d... |
b448c7a6eb580cb63a4f7efdc1ee5058f523b924dcb371ca43fdeac64721f8ee | MATLAB | 1,285 | 33 | function [y,varname]=xml2cell(filename_or_xml_string)
%XML2CELL reads non-MbML compliant xmlfile into matlab nested cell arrays
%
% Syntax [y,varname]=xmlfile2cell(filename_or_xml_string)
%
% Description:
% 1. Convert any non-MbML xml into MbML compliant string
% 2. Stores individual structures as nested cell arra... |
5ff194ed2f99f57a34132a3210b14aa1db82ab80e5e0a01d29f5082f7b7e9cdf | MATLAB | 1,286 | 47 | function flag = bivariate_outliers(X)
% routine that find the bivariate outliers using orthogonal projection and
% box plot rule
% find the centre of the data cloud using mid-covariance determinant
n = size(X,1);
result = mcdcov(X,'cor',1,'plots',0,'h',floor((n+size(X,2)*2+1)/2));
center = result.center;
% orthog... |
b291707efe525cf1d08183e1a9f400abf5120ce6483d80e4c10b6dc9ca76f828 | MATLAB | 1,286 | 36 | function [xp1,xp2]=vl_wtps(phi,Yp)
% VL_WTPS Thin-plate spline warping
% [XP1,XP2]=VL_WTPS(PHI,YP) computes the thin-plate spline (TPS)
% specified by the basis PHI and the warped control point Yp.
%
% Yp is a 2xK matrix with one column per control point and the basis
% PHI is calculated by means of the VL_TPS... |
4d1ba3bdf4b653632a12fcd4925dafc0ab7c7d22de94c35706e69143d29d8616 | MATLAB | 1,287 | 46 | function [r] = ml_util_fitrect(tx, ty)
k = convhull(tx, ty);
% Find the minimum rectangle
% For every pair of points, compute the min and max in each dimension
% after projecting
numK = length(k);
numP = length(tx);
kx = tx(k);
ky = ty(k);
A = cell(numK-1,9);
for k = 1:numK-1
... |
dc800093d96ab550372f9d6758d083e86bf32cc3223d57a1c174785b6f75f35c | MATLAB | 1,287 | 50 | function [L,dL,ddL] = neglogli_poiss(prs,X,Y,nlfun,dtbin)
% [L,dL,ddL] = neglogli_poiss(prs,X,Y,g,dtbin)
%
% Compute negative log-likelihood of data Y given rate g(X*prs).
%
% INPUT:
% prs [M x 1] - parameters
% X [N x M] - design matrix
% Y [N x 1] - observed Poisson random variables
% ... |
316ed7004cb9c0ecd2c22a590a7ffa48979f6c36a1530fadc2b59531a7f911db | MATLAB | 1,288 | 35 | function [ stack ] = ReadTIFFobj( PathName, firstframe, lastframe )
%% This function reads TIFF xyz-stacks into a 3D matrix.
% ----------------------------------------------------------------------
% Author: Dr. Knut Kirmse, 2019-2022.
% ----------------------------------------------------------------------
% Inpu... |
5fb3c56a4347c692a2697b4971a486b1f21dca8baa59d4fb107d07474a2d3488 | MATLAB | 1,288 | 38 | %% example code to run fly tracker
inexpdir = '/nearline/branson/bowl_data/GMR_71G01_AE_01_TrpA_Rig1Plate15BowlA_20120316T144027';
rootoutdir = '/groups/branson/home/bransonk/tracking/code/FlyTracker-1.0.5/sampledata';
codedir = '/groups/branson/home/bransonk/tracking/code/FlyTracker-1.0.5';
addpath(genpath('.'));
mov... |
846b382186b7383d60ff2ef9abbc618f681a312768a8e8707419b0d6c2a6dab7 | MATLAB | 1,288 | 37 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
8f61b75d76a6f8381af0976c8f0139c9e1ce13304347ae24d88af9128a57a94a | MATLAB | 1,288 | 45 | function [csInfo] = t2t_ExtractChunks(csInfo, segment_ssfr, z)
chunkAs = [];
chunkBs = [];
chunkDiffs = [];
for i = 1:size(csInfo, 2)
if ~csInfo(i).usable
continue
end
window_e = z.comparisonWindowSize * z.sr_e;
start_chunkA = csInfo(i).timeAbs_e - (window_e/2);
end_chunkA ... |
999412469abdfad617b714b3dc91d572a1f42376cda8b9b3636eb18338d35cd5 | MATLAB | 1,288 | 52 | function [res, dcminfo] = isdicomfile(fname)
% [res, dcminfo] = isdicomfile(fname)
%
% Determines whether the given file is dicom by
% trying to read the dicom info. If this fails,
% then res=0 and dcminfo=[]. If successful, then
% res=1, and dcminfo is the result of matlabs
% dicominfo.
%
%
% isdicomfile.m
%
% Origi... |
6701ba5ffd60da6e8f5b6382e6d41432521b14445c6bc36b3b6702d5b0ca493c | MATLAB | 1,290 | 29 | function idList = isolateVisibleSomas(vol,psf,vol_params, neur_params, varargin)
% idList = isolateVisibleSomas(vol,psf,vol_params, neur_params, {thresh})
% Compare all locations of neural centers in vol to the main imaging
% plane (center of the volume). The distance threshold should be related
% to the falloff of t... |
87f0ef338bf8ba369e494e708c28032c7b9951d47e2810d4bcbfac8698105f74 | MATLAB | 1,290 | 44 | % mglTestVisualAngleCoordinates: an automated and/or interactive test for rendering.
%
% usage: mglTestVisualAngleCoordinates(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test setting the rendering uni... |
a2d91ab717b8dd8817858fb8dc8fe50e67b5d1884ee09029707a7a9219ae5db7 | MATLAB | 1,290 | 31 | % Get header of the digitization information
% [ Yokogawa MEG Reader toolbox for MATLAB ]
%
% brief:
% This function retrieves information of the digitization in the specified file.
%
% usage:
% digitize = getYkgwHdrDigitize(filepath)
%
% arguments:
% filepath : file path
%
% return values:
% digit... |
087b2b9940f8671f2511dee8a7d82c7a3acb44f613f824735df3fa9ba45890b6 | MATLAB | 1,291 | 61 | function[pref]= get_event_preference(outcomes,ds_events,nperm)
% also write a function to do 3-way anova between SOM/PV/
for d = 1:length(outcomes)
cur_onsets=ds_events(d).onsets;
cur_somvect=outcomes(d).som_binned_vect;
cur_pvvect=outcomes(d).pv_binned_vect;
cur_mixvect=outcomes(d).ex_binned_... |
8508e0b50a4ffc72c2223ce046a33fee306782777cbbf939c6313005f52f4af2 | MATLAB | 1,291 | 44 | function prv = getPRV(r,v,g,strt_prd,end_prd)
%GETPRV Summary of this function goes here
% Detailed explanation goes here
% get the pathway currents
% from Y to X
step_all = end_prd - strt_prd;
v_x = zeros(16,16,step_all,5);
v_y = zeros(16,16,step_all,5); % mean membrane potential
for i = 1:16 % iterate b... |
18279c8458ce7568f01d423aaabe62523aeae3576bba5e11b54907f696f9ef1a | MATLAB | 1,292 | 44 | function H = aedes_wbar(varargin)
% AEDES_WBAR - Slightly modified Matlab Waitbar...
% Synopsis:
% See the WAITBAR function synopsis by typing 'help waitbar' into
% the Matlab command prompt.
%
% Description:
%
% Examples:
%
% See also:
% WAITBAR
% This function is a part of Aedes - A graphical too... |
a031992fb536003809aa936008da2b54456708ac3363c83e884c1be878a71bc9 | MATLAB | 1,292 | 30 | function cnfme_spatial_footprints_save_to_cellreg(obj, session, trial)
cellRegFolder = fullfile(session.getAnalysisDirectory(), obj.Config.cell_registration.session_sfp_output_folder);
% Check if the cellreg folder exists
if ~isfolder(cellRegFolder)
mkdir(cellRegFolder);
end
cnmfeFile... |
b11c4d79df736954cc782d11a45207725ab95789e23aba9cbd45ce4ef5b6253f | MATLAB | 1,292 | 48 | function [] = plx_spike_info(filename)
% plx_spike_info(filename): prints .plx file spike channel info
%
% plx_spike_info(filename)
%
% INPUT:
% filename - .plx file name. Will use file open dialog if filename is empty string
%
% OUTPUT:
% (none)
if nargin ~= 1
error 'expected 1 input argument';
e... |
f5db800522db14cf635a3e155616b11994fbe7974561707c883a46c73d9df18f | MATLAB | 1,293 | 37 | % iInjDir.m
%
% Quick function that specifies folder where current injection protocol
% functions live.
% Ideally, would have been part of ephysSettings.m, but too awkward to
% change now
%
% INPUTS: none
%
% OUTPUTS:
% iPath - full path to folder containing current injection protocols
%
% CREATED: 2/11/21 - HHY
%
... |
00a6b131962f24da893cb19bc97701ebeed90ea49eaf019c942e6cb22f873645 | MATLAB | 1,294 | 34 | clear
%load F1s.mat
filenames = {'PFC4_15Hz_part11','PFC4_15Hz_part12','PFC4_15Hz_part21','PFC4_15Hz_part22'};
radii = [3:7];
SNRs = [7:4:31];
dataset = zeros(length(filenames),length(radii),length(SNRs));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,r] = ind2sub([length(filenames) length(radii) l... |
2cadaeadf04eaec671a39b383ac497c1541ad58e872fb4a602d1fa6a1ee1e427 | MATLAB | 1,294 | 42 | function [] = savetracks(Tracks, folder_name, overwrite, fields_to_save)
%save the tracks as individual variables given folders
if isempty(Tracks)
warning('Saving Empty Tracks')
return
end
if strcmp(folder_name(end), filesep)
savePath = [folder_name, 'analysis'];
else
sa... |
bf57ec9af75b90d02260e4fbe04850be1fd2086daf77d05f91aa56a482bc913f | MATLAB | 1,294 | 43 | function [Ppos Pneg]=participation_coef_sign(W,Ci)
%PARTICIPATION_COEF_SIGN Participation coefficient
%
% [Ppos Pneg] = participation_coef_sign(W,Ci);
%
% Participation coefficient is a measure of diversity of intermodular
% connections of individual nodes.
%
% Inputs: W, undirected connection matr... |
0e974cf085693e6ea54351aee9c2686b340ddd6b162c9752256917fe6be3216f | MATLAB | 1,295 | 48 | function I = multiBoundaryImage(X,varargin)
% I = multiBoundaryImage(X)
%
% Function to create a series of bounding curves for multiple images in a
% 3D stack.
%
% Input: X - a 3D array of images, each slice in the 3rd dimension will be
% processed independently.
% t - a threshold parameter for... |
9f8ff7b4e5bccfbb1aa3a698511a6379e0a6c9753cee410e6da8cd98d6186e1c | MATLAB | 1,295 | 40 | %
% Plot average degree and diameter by time.
%
% ENVIRONMENT
% $network Network name
%
% INPUT
% dat/stepsi.$network
% dat/statistic_time.full.diameter.$network
% dat/statistic_time.full.avgdegree.$network
%
% OUTPUT
% plot/diadens.a.$network.eps
%
font_size_label = 18;
network = getenv('network');
steps = l... |
dc2c0a7601a2bf80e5e24286395bffaa1f6b14ceb68a42f172d0b336e423d83d | MATLAB | 1,295 | 40 | function overlap = overlap_neurons_IOU(neuronmasks,thresh_mask,thresh_IOU,times)
% Combine masks with large IOU or consume.
% thresh_IOU=0.5;
% thresh_consume=0.8;
% thresh_consume should be larger than 2*thresh_IOU/(1+thresh_IOU) to avoid
% two masks consuming each other.
% [Lx,Ly,n] = size(neuronmasks);
N=size(... |
5b4d89586463140b8a89a719b02309bf6a2f6ae91c0ecc79482ae6ae79e98ab8 | MATLAB | 1,296 | 53 | function[out,h]=SONADCToSingle(in,header)
% SONADCTOSINGLE scales a SON ADC channel to single precision floating point
%
% [OUT {, HEADER}]=SONADCTODOUBLE(IN {, HEADER})
%
% Applies the scale and offset supplied in HEADER to the data contained in
% IN. These values are derived form the channel header on disc.
% ... |
0a37a53287da8051b07ac03bb6dc0aacad253843b8a65171d910692af67f4fcf | MATLAB | 1,297 | 34 | clear
%load F1s.mat
filenames = {'bma22_epm_part11','bma22_epm_part12','bma22_epm_part21','bma22_epm_part22'};
radii = [6:1:10];
SNRs = [7:4:27];
dataset = zeros(length(filenames),length(radii),length(SNRs));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,r] = ind2sub([length(filenames) length(radii... |
13dc25700966631a4e9707b055ce979d8b967e75a24cb64259877ef13ca084cf | MATLAB | 1,297 | 36 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
58ad29e4e3b0c261cfb316a5c9f33a81047f7a16452f8cffc1bea76267c92777 | MATLAB | 1,297 | 55 | function badFrames = findBadFrames_APP(app, vars, trackParams, frameData)
threshCR = 30;
threshpupilr = 10;
%% Find NAN frames
frameData_table = struct2table(frameData);
frameData_nanLocations = ismissing(frameData_table);
badFrames = any(frameData_nanLocations,2);
%% Find bad CR
cr1_x_deriv = diff([frameData.cr1_x]... |
ec9ff15bacbba65bf0dfd2b1513c30c82b1ad6e5fe83c12ef95f1eb6a4d4e147 | MATLAB | 1,297 | 34 | function mltp_user_define_slice_arenaroi(obj, session, trial)
if obj.isVerbose()
fprintf('Defining the ROI for one trial (a used slice).\n');
end
trialId = trial.getTrialId();
sliceId = trial.getSliceId();
% Changed from fnvt to nvt to allow for the fnvt creation to use
% the ROI bound... |
095e1de00b05f6aeef7938170d12fa73da7570f2593e78111e07036728456f07 | MATLAB | 1,298 | 44 | function sp_matrix=spikest2vector(units,startt,endt)
%% spikes2vector transforms the time of the spikes in the population units to a matrix format
%INPUTS
%
% units: structure containing the time of the spikes of all the units in
% the population recording. units has dimensions 1 x number of units and
% the time of spi... |
13a3c9d5adfff054e1c77663b593ae8e5e214192ee0a4a21af25bb37b3eb0d86 | MATLAB | 1,298 | 35 | function [recordingOpened] = ml_nlx_nvt_get_recording_datetime( nvtFilename )
%% Get the date and time that the Neuralynx NVT recording was opened
[Timestamps, X, Y, Angles, Targets, Points, Header] = Nlx2MatVT(nvtFilename, [1 1 1 1 1 1], 1, 1, [] );
% The third line looks like this:
% {'## Time Open... |
29bef67ec31c0d03b463c3e0dca356ecc5f99e5f6e1f103a637392f833ae19ff | MATLAB | 1,298 | 61 | function varargout = plot(varargin)
% plot method for GIfTI objects
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: plot.m 8776 2013-11-14 09:04:48Z roboos $
% if ishandle(varargin{1})
% h = figure(v... |
5248bfe477a250a6bc1171c1f4d7160648fcfd0a164632a39ef93656be2c79da | MATLAB | 1,298 | 59 | % plotMultiCorr.m
%
% Function to plot output from saveStepParamMultiCorr(), 1 file
% Plots randomized as mean +/- SD and actual as single line
%
% INPUTS:
% datDir - path to folder containing correlation files
% yScale - scale for correlations
%
% OUTPUTS:
% none, but generates plot
%
% CREATED: 7/26/23 - HHY
%... |
5d3aae975ef955d29b7de61d4c936d5a8d2171dad85b4484ab9b12c972e71030 | MATLAB | 1,298 | 34 | clear
%load F1s.mat
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = [4:8];
SNRs = [3:4:23];
dataset = zeros(length(filenames),length(radii),length(SNRs));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,r] = ind2sub([length(filenames) length(radi... |
8b1c4234293a42b9cd84fa7034261ed99f89c66a57fbebdf0fa0d6c3dcf6c4b3 | MATLAB | 1,298 | 37 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
a6fa54ce0e8624815a27c91df84a2e98197d79efae864d792e178b98e8d4b30b | MATLAB | 1,298 | 38 | function [params, result] = ortho_quasi(params, W, w)
% Quasi-orthogonalization
% W = orthof(params, W) for symmetric dss
% w = orthof(params, W, w) for deflation dss
% params.alpha For deflation...
% W Matrix with projection vectors as rows. For deflation
% algorithm only previously calculated ... |
db283429075aa371c97d5322e67f9127c1f1b478e0471c41e436573e662977cc | MATLAB | 1,298 | 34 | clear
%load F1s.mat
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = [4:8];
SNRs = [7:4:23];
dataset = zeros(length(filenames),length(radii),length(SNRs));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,r] = ind2sub([length(filenames) length(radi... |
fcac9ccad2833978dae0faca2107b168096e8f6c001d00c536177d9a0e55b1ca | MATLAB | 1,298 | 49 | function [A] = clique_graph(n,varargin)
% CLIQUE_GRAPH Generate the clique graph or bipartite clique graph
%
% The clique graph is a graph with as many edges as possible.
%
% A = clique_graph(n) generates a clique with n vertices and returns the
% adjacency matrix A.
%
% A = clique_graph([m n]) generates a bipartite cl... |
5b122726ac28c8c2da81d1134eb153ff2abe185565c32adf942aa9fb13c3d50d | MATLAB | 1,299 | 41 | % Test script for AEW
% (Results depend on random seeds)
clear; close all;
noise_level = 1; % 1 or 2
% Parameters for AEW
param.k = 10; % The number of neighbors in kNN graph
param.sigma = 'median'; % Kernel parameter heuristics 'median' or 'local-scaling'
param.max_iter = 100;
% -----------------------------------... |
08de0b85fd284b0a75a917921bd054085d3eae79147617861145ee54961bebff | MATLAB | 1,300 | 41 | classdef MLTetrodeExperiment < MLExperiment
%MLTetrodeExperiment A tetrode experiment
% Represents a tetrode experiment
properties
TFileBits
NvtFileTrialSeparationThresholdS
NvtFilename
end
methods
function obj = MLTetrodeExperiment(...
... |
752f5839af2eb7b88a4e8af07ac96bfb407ebad41739bb5de7ad7857f63b135c | MATLAB | 1,302 | 40 | function [mean_selected_activity]=plot_trial_averaged_events(dff,ct_inds,event_inds,color,varargin)
% %% MAKE VARIABLES
% start=varargin{1};
% finish=varargin{2};
%
start=varargin{1};
finish=varargin{2};
trial_dff=nan(length(event_inds),length(start:finish));
ct_dff=mean(dff(ct_inds,:),1);
for i=1:length(event_inds)... |
99823c7b671cf7f572d8757cc8eba242aa16fba1aeaa07906b76bbef40231899 | MATLAB | 1,303 | 34 | function [X,Y,Width,Height,Lbl] = read_lay(layoutname);
% READ_LAY reads an electrode or gradiometer layout file
% Layout files are used for topoplotting and multiplotting.
%
% Use as
% [X, Y, Width, Height, Lbl] = read_lay(layoutname)
% Copyright (C) 2003, Ole Jensen
%
% This file is part of FieldTrip, see http://... |
4a08bb5e5bc0f2aa372a48ef7770b57c4405feac1f681cf5d990d1c22883f08d | MATLAB | 1,304 | 38 | function clearStageDir(folder)
% Delete a managed stage folder recursively. A folder that is absent is fine
%
% function webupload.clearStageDir(folder)
%
% Purpose
% Removes folder and everything in it. Only pass folders obtained from
% webupload.stageDirFor, because the delete is recursive... |
585a075d365f2a3b5a186c2ca4c8faf89a60d50c54d0d42eaa2b0d618cb84fd6 | MATLAB | 1,304 | 46 | function min1pipe_init
% parse path, and install cvx if not
% Jinghao Lu, 11/10/2017
%%% prepare main folder %%%
pathname = mfilename('fullpath');
mns = mfilename;
lname = length(mns);
pathtop1 = pathname(1: end - lname);
%%% check if on path %%%
pathCell = regexp(path, pathsep, 'spl... |
880899f56ce588496365af3afc0e01e2b4946f04765256ded0c28f14ba1e99e9 | MATLAB | 1,304 | 31 | function [arena] = ml_arena_initialize_from_file(experimentDescriptionFilename, arenaRoiFilename)
if ~isfile(experimentDescriptionFilename)
error('File (%s) does not exist. Can not load the JSON data.', experimentDescriptionFilename);
end
if ~isfile(arenaRoiFilename)
error('File (%s) do... |
c36f3cdcc031afba7414395a68420e7d75ca1f61f8561c2f68669716953db387 | MATLAB | 1,304 | 52 | function chi_res=SFCR_s(deltaB, D_k, DPWeight, maskErode, maskSSV, wG, lambdaSet, x)
% chi_S = SFCR_s(deltaB, D, DPWeight, maskErode, maskU, wG, lambdaSet);
% SFCR S-step
% adopted from Lijun's Code
% Ref: Bao et al, IEEE TMI, 2016 35(9):2040-50
% updated 2019-06
if nargin < 8
x = zeros(size(deltaB)); ... |
f343cce0559172f258ef313da5e4947bcfcaac1d1b1995cd90b4f7f2e6b33c8d | MATLAB | 1,304 | 24 | function [] = delete_extra_individual_worm_images(folder_name, endIndex)
% delete individual worm image files that are no longer relevant
individual_worms = dir([folder_name, filesep, 'individual_worm_imgs', filesep, 'worm_', '*.mat']);
for image_stack_index = 1:length(individual_worms)
current_file_na... |
ba2a5eb2e25c710e808efb5aedb122af923359b8738d62a35619ddf777e095f2 | MATLAB | 1,305 | 40 | % addMyPaths.m
%
% function to add relevant 2p data analysis paths, including subfolders
%
% Users: change the following paths to match those on your local computer
function addMyPaths()
%% ScanImageTiffReader code
scanImageTiffReaderPath = ...
'/Users/hyang/Documents/MATLAB/ScanImageTiffReader';
... |
c8e2208c3df940d56b6ca70254d2aa1583ab10b614d3918be3b9a536d54e14be | MATLAB | 1,305 | 50 | function h=vis_brainwhitesurf(facesl,vertsl,facesr,vertsr,whitefl, whitefr, whitevl, whitevr,yl,ttstr,meshsmooth)
if meshsmooth==1
vertsl=sms(vertsl,facesl,5,0.5);
vertsr=sms(vertsr,facesr,5,0.5);
whitevl=sms(whitevl,whitefl,5,0.5);
whitevr=sms(whitevr,whitefr,5,0.5);
end
h=figure('Position', [0 0 18... |
1f6660e2a492d8d93c6aee13e2808a929c7009fa6eae53af1e7a3d939c861b06 | MATLAB | 1,306 | 51 | function mu=permModel(S)
% permModel Compute co-classification probabilities using Permutation Model
%
% Syntax
%__________________________________________________________________________
%
% mu=permModel(S)
%
%
% Description
%__________________________________________________________________________
%
% mu=permMod... |
5bea521695bbeb2f435049d3669cf6468218cbb947c412717482ce583c5091ae | MATLAB | 1,306 | 48 | % Script to find mean output from the MePD on
% the Kp x \alpha parameter space
clearvars; clc;
load("par.mat")
par.d=0.05;
p1 = [0 , 22];
p2 = [0.7, 1];
n = 150;
% Define the parameter space
A = linspace(p1(1), p1(2),n);
B = linspace(p2(1), p2(2),n);
IC = zeros(6,1);
time_vector = 0:0.5:2000;
opts = ... |
5cd625d672cb93e573506a65c37dd751ec7213b8998bd1ba86e8e65227dadbfc | MATLAB | 1,306 | 39 | function xhfd=hfd(x,kmax)
%function xhfd=hfd(x,kmax)
%Input:
%x: (either column or row) vector of length N
%kmax: maximum value of k
%Output:
%xhfd: Higuchi fractal dimension of x
if ~exist('kmax','var')||isempty(kmax),
kmax=5;
end;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
x=x(:)'... |
9e629bb10e9723bddb6b5ceaa8d602033297f1d2bcb27a2b232875127c76321f | MATLAB | 1,306 | 34 | clear
%load F1s.mat
filenames = {'Mouse_1K','Mouse_2K','Mouse_3K','Mouse_4K','Mouse_1M','Mouse_2M','Mouse_3M','Mouse_4M'};
radii = [4:9];
SNRs = [7:4:23];
dataset = zeros(length(filenames),length(radii),length(SNRs));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,r] = ind2sub([length(filenames) len... |
fa75500a768a509c472862a67982772c56cc6d818c94cad3869992edbf9f7389 | MATLAB | 1,306 | 34 | clear
%load F1s.mat
filenames = {'Mouse_1K','Mouse_2K','Mouse_3K','Mouse_4K','Mouse_1M','Mouse_2M','Mouse_3M','Mouse_4M'};
radii = [4:9];
SNRs = [3:4:23];
dataset = zeros(length(filenames),length(radii),length(SNRs));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q,r] = ind2sub([length(filenames) len... |
3aa228e3415789790102b1d18cb29a3a1b58fb8b79eb7062ad75dded9740372c | MATLAB | 1,307 | 41 | % plotMultISI8x8.m
% by Valentina Pasquale, March 2008
function [success,errorStr] = plotIBEISmoothPeaks(saveFolderPath,trialNames,xx,yy,ISImax,peaks,flags)
if length(xx) ~= length(yy)
errordlg('Cell arrays of XData and YData do not have the same length!', '!!Error!!', 'modal');
return
end
% Start processing
fo... |
57fa677f3b450cc9926796e2f9bea436d3b211d3be08dee96ccb206254e0dcd0 | MATLAB | 1,308 | 39 | function [params, s_new] = denoise_smooth_tanh(params, s, state)
% Smooth tanh DSS denoising function
% [params, s_new] = denoise_smooth_tanh(params, s, state)
% params Function specific modifiable parameters
% state DSS algorithm state
% s Source signal estimate, matrix of row vector signals
% ... |
72d823efa38594d7077d57178eef40fbf029124cc834f13ce2293b9c19b09289 | MATLAB | 1,308 | 27 | function tpt_acu_m = mean_SIR_spread(aij, data_run, new_seed)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% If you use this code, then please cite:
% 1.- Ana P. Millan, et al. "Individualized epidemic spreading models
% predict epilepsy surgery outcomes: a pseudo-prospective study."
% medRxiv ... |
dc192328cabba27123c482df57ab1d6c9a9de690b2ce6a7bba0656a3d3f585fd | MATLAB | 1,308 | 40 | % FastICA for Matlab 7.x and 6.x
% Version 2.5, October 19 2005
% Copyright (c) Hugo Gävert, Jarmo Hurri, Jaakko Särelä, and Aapo Hyvärinen.
%
% Type fasticag to launch the graphical user interface
%
% Please refer to your Matlab documentation on how to add FastICA to your
% Matlab search path. (One place to start is t... |
0d7d2b99991abcaf0543eceef2af4238246bc80427f777118e2b5d34c1eacb26 | MATLAB | 1,309 | 45 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [X] = helper_percell90_add_stats(X)
% Add distributions per cell
numCells = size(X,1);
numRotations = 4;
X.hc_within = zeros(numCells, numRotations);
X.prob_within = zeros(numCells, numRotations);
X.samples_within = zeros(n... |
4058d2cf264ac5ab3f0177e39537f3b06e72226bb9546f2be851594f198e8088 | MATLAB | 1,309 | 41 | %{
For the specified k, FDR-correct the p-values for the correlation between pairs of
summary scores relating to g or processing speed.
Output:
pcorr_vec_fullfdr.csv FDR-corrected p-values.
%}
%Define command line arguments.
function [] = LE_group_staterecon_summary_corr_FDR(k)
%Add personal folder to the MATLAB pat... |
725204aa3ab83921dcfe0c191046412ac42979f86f27161831d26a89877eb69c | MATLAB | 1,309 | 43 | function runrpg(pf,dim,root,DKI_root)
%% Removal of Partial-fourier induced Gibbs ringing (RPG)
% Author: Hong-Hsi Lee, February 2020
%
% C++ codes are modified from the code based on local subvoxel-shifts by
% Kellner et al. MRM 2016 (doi: 10.1002/mrm.26054)
% (https://bitbucket.org/rei... |
cbe56d8df3bbf962a0f36ddbc89121201b093785c5aa51976c588f81cdcbe520 | MATLAB | 1,309 | 53 | %function [sta, P2P, p, Nspikes] = STA(x,y, bef_s, aft_s);
function [sta,Nspikes] = STA(x,y, bef_s, aft_s);
% returns STA[odd/even,:], array 2x:,
% input: x holds spike frames, y holds the signal
% bef_s and aft_s units are s
%
%sta, the STA function
% P2P, peak-to-peak diff
% p, bootstrap p-value for the P2P
... |
1c2911d05bb41a6dd0ccafe3b3682c2b13a9657f9a584903b824874a06a804c3 | MATLAB | 1,310 | 47 | %% s_simseqAnalysis_overview
% Script to rerun data analyses in the paper:
% Title: Rethinking simultaneous suppression in visual cortex via
% compressive spatiotemporal population receptive fields.
% Authors: Kupers, Kim, Grill-Spector (2024).
% Journal: Nature Communications
% DOI: XXX
%
% Requires ge... |
546ffb8a5edf37c3f0a510615a9a0fc2d7a7f4b7b1aaef1cb228fdf865b0f350 | MATLAB | 1,310 | 58 | close all
clear all
clc
numCells = 10;
mapWidth = 10;
mapHeight = 15;
numTrials = 12;
numMaps = numCells * numTrials;
sdataMaps = nan(mapHeight, mapWidth, numMaps);
sdataCellIds = nan(numMaps, 1);
sdataTrialIds = nan(numMaps, 1);
sdataContextIds = nan(numMaps, 1);
k = 1;
for iTrial = 1:numTrials
cid = mod(iTrial... |
64a09e142afb2fbabeb44842ee7595791a8b387abd58640d64208d3d560e994a | MATLAB | 1,310 | 43 | function retScreenReverse(params, stimulus, xy)
% If necessary, flip the screen LR or UD to account for mirrors.
%
% retScreenReverse(params, stimulus, [xy])
%
% We now reverse the screen itself ONCE before the experiment starts
% (instead of reversing each image). This ensures that everything,
% including the fixa... |
7149a5ae142a709489c665e06cc7fd77417b3c2c1e03245b72d267f589219230 | MATLAB | 1,310 | 42 | % This example creates a square module with optodes. It then uses MOCA's
% automated createLayout() function to overlay the module over the ROI.
% Once this probe is generated, this demo shows how to toggle individual
% modules on/off, how to translate the probe relative to ROI, and how to
% rotate individual modules.... |
b6105b0476e305187354b1b6b3ca0be3ede15295dbe69dc8f6d9d94e1d34482d | MATLAB | 1,310 | 51 | % plotBinScatterScript.m
close all
clearvars
dataPath = '/Users/hyang/Dropbox (HMS)/2PAnalysis-Helen/AnalyzedData/190927_moveCond';
figPath = '/Users/hyang/Dropbox (HMS)/2PAnalysis-Helen/Figures/190924_scatter-heatmap';
cellType = 'g13';
% parameters
xDataName = 'totAngSpd';
yDataName = 'sum';
xScale = [0 600];
num... |
c34b2a1f68af9a6383c885c43a5f31b119549a0ba766f7b8acf805670c191498 | MATLAB | 1,310 | 39 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
d6980a60228c0365307228c5d157f96d51c600500c1362f8cb11c0006904c0a1 | MATLAB | 1,310 | 37 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [R] = load_tetrode_animal_day_table()
R = [];
day1.animalNames = {'K1_CA1', 'AK42_CA1', 'AK74_CA1', 'CMG159_recut', 'HGY1_recut', 'JJ9_CA1', 'MG1'};
day1.sessionNames = {'d1', 'd7', 'd1', '... |
951d8445b065ad75a62681a18449fd8478d137ee8d5edecd624c2ef438a52eb0 | MATLAB | 1,311 | 44 | function J=vl_imwhiten(I,alpha,cutoff)
% VL_IMWHITEN Whiten an image
% J = VL_IMWHITEN(I,ALPHA) approximatively whitens the power spectrum
% of the natural image I. The algorithm assumes that the modulus of
% the spectrum decays as 1/f^ALPHA (f is the frequency).
%
% VL_IMWHITEN(I) uses ALPHA=1 (a typical valu... |
50f0db4ebca5aed63b617cba5c3e526b95ab9ae899dbc5aa81bcfd9ff630097c | MATLAB | 1,312 | 49 | function vid = setROITecknet(vid, img1, img2, res, boxsize, boxoffset)
%% Display snapshot
figure(1);
set(gcf, 'Position', get(0,'Screensize')); % Maximize figure.
h(1) =subplot(1,2,1);
imshow(img1); title('Camera 1')
h(2) =subplot(1,2,2);
imshow(img2); title('Camera 2')
%% Prompt for ROI around each eye
disp('Clic... |
c254b2e58483fd43d96bcfa2c919efc335ee7f87b64c233c431fda296260ce49 | MATLAB | 1,312 | 56 | function [output] = polyfitn3d(input,mask,order,sc)
% ==========================
% HEADER
% ==========================
%
% Function name: polyfitn3d.m
% Author: Jonathan Farrell, Xu Li
% Created: March 3 2010
% Last Modified: 2021-02-09
% Pupose: fit a nth order polynomial in 3D to i... |
941ec7f42187e859573a8789093e11af429799b5c60b98caec040270bce4ea3b | MATLAB | 1,314 | 34 | function ft_destroy_buffer
% FT_DESTROY_BUFFER stops the thread with the TCP server attached to
% the local MATLAB instance and removes all data from memory.
%
% Use as
% ft_destroy_buffer
%
% See also FT_CREATE_BUFFER
% Copyright (C) 2010, Stefan Klanke
%
% This file is part of FieldTrip, see http://www.ru.nl/neur... |
3125babb5b50bf9a92f2fcdbae40e7bfd7197179027a67461f956989ea1c4576 | MATLAB | 1,315 | 40 | function text = cleanECGsurvey( obj, fs )
% Filters ECG artifacts from LFP Survey recordings.
%
% Syntax:
% CLEANECGSURVEY( obj, fs );
%
% Input parameters:
% * obj - object containg survey data
% * fs - sampling frequency
%
% Available at: https://github.com/NCN-Lab/DBScope
% For referencing, please use: Andr... |
1ffd93896d1510059dc1da7db41c9eb4117d41950b5f62f1fa8ce91c7b2285b2 | MATLAB | 1,316 | 59 | function [h] = men_behaviour_roi_plot( roi, useGrayscale )
h = figure;
F = roi.refFrame;
if useGrayscale
F = imadjust(rgb2gray(F));
end
imshow(F)
hold on
% Plot the inside boundary
plot([roi.inside.j(:); roi.inside.j(1)], [roi.inside.i(:); roi.inside.i(1)], 'ro-')
% Plot the outside boundary
plot([roi.outside.... |
90895b8db3c3452e32144c5aae524f09d3af43017060619b835cf0b8caebafab | MATLAB | 1,316 | 37 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
017a3898ab1140328f89c30788a67ac2c835be1799da4116127a2b2166b429d4 | MATLAB | 1,318 | 31 | % mglFillRect3D - draw filled rectangle(s) on the screen
%
% $Id: mglFillRect3D.m 18 2006-09-13 15:41:18Z justin $
% usage: mglFillRect3D(x, y, z, size, [rgb], [rotation], [antialias])
% by: Christopher Broussard
% date: 05/10/2011
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see ... |
20ed31730f2dbfb7651e9c84a76e8608315d871625ffacacfa450aa678560774 | MATLAB | 1,318 | 46 | close all
clear all
clc
fl = dir(fullfile(pwd, 'trial*_arenaroi.mat'));
numTrials = length(fl);
for iTrial = 1:numTrials
s = split(fl(iTrial).name, '.');
fprintf('Converting %s to h5\n', s{1});
outputFilename = fullfile(fl(iTrial).folder, sprintf('%s.h5', s{1}));
if isfile(outputFilename)
... |
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