sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b59f76b4f7314f620318891953b3ff48c0d3693e576f1af22032ffb583160be7 | MATLAB | 768 | 29 | function Z=module_degree_zscore(A,Ci)
%MODULE_DEGREE_ZSCORE Within-module degree z-score
%
% Z=module_degree_zscore(A,Ci);
%
% The within-module degree z-score is a within-module version of degree
% centrality.
%
% Inputs: A, binary/weighted, directed/undirected connection matrix
% ... |
2a123bda243bea847442b7ec6fede808171b09977150330baa03eb47bb1b44ff | MATLAB | 769 | 32 | function [imuData] = ml_inscopix_imu_read_csv(fn)
if ~isfile(fn)
error('The file (%s) does not exist.', fn);
end
% Read the header
fid = fopen(fn, 'r');
header = fgetl(fid);
fclose(fid);
columnNames = split(header, ',');
% Remove the unfilled entries
columnNames(8:end) ... |
c954ff73bd4d2d240c994da2b5e69654b0421f73c327eb059c517a65b7ee9333 | MATLAB | 769 | 25 | function [ ginfo, gids ] = ml_util_group_points_ginfo(x)
% x should be an array of numbers. Whenever numbers are not the same as
% their neighbours a new group will be created to represent them.
%
% Can be called on an array that has been thresholded resulting in an
% array of zeros and ones.
... |
d0650ad53cd3c5a7d62199812976838ccccdce249da9f0a774d9edacaece2af4 | MATLAB | 769 | 21 | function [task myscreen] = mglEyelinkCallbackStartBlock(task, myscreen)
% mglEyelinkCallbackStartBlock - Assigns eye position to myscreen
%
% Usage: mglEyelinkCallbackStartBlock(task, myscreen)
% program: mglEyelinkCallbackStartBlock.m
% by: eric dewitt
% date: 04/03/06
% copyright: (c) 2009,2006 ... |
46ff451992fed507e7f10d40f40145bc9fd9bdb7562571176b94039cd704226c | MATLAB | 771 | 22 | % mglQuad.m
%
% $Id$
% usage: mglQuad( vX, vY, rgbColor, [antiAliasFlag] );
% by: eli merriam, based on mglPoints.c by justin gardner & Jonas Larsson
% date: 04/20/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: mex function to draw a quad in an OpenGL screen ... |
5256e2ecf608cc5ce2db4ea443643afcc5335c25d800a1d107afbd993a5bef59 | MATLAB | 771 | 23 | function points_modified = correctbregma(points,m,a,d,inv)
%CORRECTBREGMA standardÌÀWÆAbregmaÀWÌ^ÌÊu©ç̸êðó¯ÄA¸êðC³µ½standardÌÀWðÔ·B
% standard : îÀWBhexapodÀWnɨ¯é(x,y,z)
% m : ML²ÌbregmaÀW̸ê
% a : AP²
% d : DP²
% ML²Ì¸êðC³·éB
if ~exis... |
0a117b2bb29d2bb4d1327ef9698bb5a535d141d3e13353087d9eae306a40d8da | MATLAB | 772 | 26 | function gaborResponses = computeGaborResponses(im, gabor, NumFilters)
%init
gaborResponses = zeros(size(im,1), size(im,2), NumFilters);
for oriIndex = 1 : NumFilters
filter = real(gabor(oriIndex).filter);
%normalize
%%%%%%%%%%%%%%%%%%%%%
filter = filter ./ max(filter(:));
%%%%%%%%%%%%%%... |
87ae4354c1d8faad4d656e36f65ffc238d8cf0b5535e9d75df1ab3db2ead2e8f | MATLAB | 772 | 20 | function S= makeStimRows(Stim, n)
% S = makeStimRows(Stim, n, flag); not used in paper
%
% Converts raw stimulus to a matrix where each row is loaded with the full
% space-time stimulus at a particular moment in time. The resulting
% matrix has length equal to the number of time points and width equal to
% the (n... |
096c4a4125b06ce99a86901193641a1a9edd5b064c49b7c2e4763bb7976e3373 | MATLAB | 773 | 18 | addpath(genpath('/groups/branson/home/bransonk/behavioranalysis/code/FlyDiscoAnalysis/FlyTracker'));
expdir = '/groups/branson/home/bransonk/behavioranalysis/code/MABe2022/data/nochr_TrpA71G01_Unknown_RigA_20201216T153505';
intrxfile = fullfile(expdir,'movie_JAABA/trx.mat');
inflytrackerfile = fullfile(expdir,'movie-... |
be4dba6f7ab898453d6a1a630279f5c1aa2c8273707656c94abd6528e629806c | MATLAB | 773 | 33 | %% Update Unassigned Tracks
function [tracks,del_ids] = confusingtracks(tracks,unassignedTracks)
for i = 1:length(unassignedTracks)
ind = unassignedTracks(i);
tracks(ind).consecutiveInvisibleCount = ...
tracks(ind).consecutiveInvisibleCount + 1;
tracks(ind).data = nan(1,11);
end
%delete invisib... |
33124a1165ea606a7740fe1bc298cd1f3009b4e0804d37e396780d0a68ce0b8a | MATLAB | 774 | 20 | function flag=SONSaveRange(fh, chan, startTime, endTime)
% SONSAVERANGE sets the write state to save for a channel in the given time range
%
% FLAG=SONSAVERANGE(FH, CHAN, STARTTIME, ENDTIME)
% INPUTS: FH is the SON file handle
% CHAN is a channel number (0-SONMaxChans()-1) or -1 for all
% ch... |
425eaf8c7966c54557a766f279202be46a10bd7d5af2b416f37b44235887ab13 | MATLAB | 774 | 28 | function vl_demo_ikmeans()
% VL_DEMO_IKMEANS
numData = 10000 ;
dimension = 2 ;
data = uint8(255*rand(dimension,numData)) ;
numClusters = 3^3 ;
[centers, assignments] = vl_ikmeans(data, numClusters);
figure(1) ; clf ; axis off ;
plotClusters(data, centers, assignments) ;
vl_demo_print('ikmeans_2d',0.6);
[tree, assig... |
7d15d3ba1e18822809d1d1eb9eb85bcab0f08fc5ee4bc21c02dbf1c3a482ceab | MATLAB | 774 | 17 | function [t_ms, x_px, y_px, theta_deg] = ml_nlx_nvt_get_raw_trial(iTrial, nvtFullFilename, CONFIG_NVT_FILE_TRIAL_SEPARATION_THRESHOLD_S)
% Load the nvt file and split it into trials
%nvtFullFilename = fullfile(pwd, 'VT1.nvt');
%CONFIG_NVT_FILE_TRIAL_SEPARATION_THRESHOLD_S = 100;
nvtTrials = ml_nlx_nvt_... |
9b54d822ebcf1ea4f9cb2c3176d1e32dedb5aaf1746dc31da160561c65ef7fd2 | MATLAB | 774 | 26 | function [y]=WatsonMeanDirDensity(x, k, p)
% This is the tangent direction density of Watson distribution. See the
% SphereDistributionsRand.pdf file for detail description and formulas.
%
% Usage:
% [y]=WatsonMeanDirDensity(x, k, p);
%
% Inputs:
% x: The tangent direction value. should be in [-1 1].
%
% k: The k... |
b6129ce2053a9cc965df2fc5d8181d77257a6f4125314b2f5f958542fbdb2003 | MATLAB | 774 | 27 | function parsave(fname, varargin)
% Save variables to a file from within a parfor loop. A separate function
% is needed for this because the save function cannot be called directly
% from inside parfor loops
%
% INPUTS:
% fname: the full path of the matlab file to be saved
% varagin: paired list {varname1, var1, v... |
2d6cf9811330f5d1cd03688d215344da4b86fee74a3390e1023377b8b9148be4 | MATLAB | 775 | 27 | % Originally used in Buenrostro et al. NBT 2014
% Author: Jason Buenrostro, Greenleaf lab, Stanford University
% Gaussian fit function
function fitImage = Gauss(subFullFit,xMax,yMax,c)
% generate empty grid
fitImage = zeros(xMax, yMax);
% loop through clusters and add to fit image
for i = 1:size(subFullFit,1);
am... |
5e5a52090dac66e8c5b3b8c1cb5d6f5fcfe48c469b3f9d8222b4fd433c352736 | MATLAB | 775 | 27 | function [sliceIndices] = ml_util_timeseries_find_slice_indices( ts_ms, slice_separation_threshold_ms)
% This returns indices into the array ts_ms such that it can be split into
% slices where the slices are separated by more than
% slice_separation_threshold_s seconds.
% Convert the threshold in second to millisecond... |
b28e08610e628c7e91918aef244b58cc2e750eceec94f1037b851f4666b1e0bc | MATLAB | 776 | 33 | function [r] = fcn_get_in_out_similarity(mat)
%FCN_GET_IN_OUT_SIMILARITY similarity of input/output weights
%
% [r] = fcn_get_in_out_similarity(mat) calculates the similarity of
% input/output weights for a connectivity matrix, mat, as a correlation
% coefficient.
%
% Inputs:
% mat, [node... |
c4589d04d7e28dea9e51fd4edee7ece8fb27b1c82ec6b6479dc63513760b79c5 | MATLAB | 776 | 25 | %
% Compute the reduced rank in function of decomposition type.
%
function r = get_rank_type(network, decomposition)
[r_svd, r_lap] = get_rank(network);
if strcmp(decomposition, 'svd' ), r = r_svd;
elseif strcmp(decomposition, 'sym' ), r = r_svd;
elseif strcmp(decomposition, 'diag' ), r = r_svd;
elseif st... |
67252f0d3b94f39e88dd4e65d5e5259152822aa61803278f43d375aa2208c812 | MATLAB | 777 | 27 | function vars = PLOT_FramerateHistogram(app, vars)
difft = diff(vars.vid.time);
frametimes = 1./[difft];
%% Plot in app
histogram(app.UIAxes4_5, frametimes, 200);
vline(30)
title(app.UIAxes4_5, 'Framerate Histogram')
ylabel(app.UIAxes4_5, 'Frame Amount')
xlabel(app.UIAxes4_5, 'Framerate')
%% Plot in figure
hFig = fi... |
e2723b1fc29d8992c22932127ffe5f6afbd5445943a0134d5339ca7f410132c1 | MATLAB | 778 | 27 | classdef Container < types.untyped.MetaClass & types.untyped.GroupClass
% CONTAINER An abstract data type for a group storing collections of data and metadata. Base type for all data and metadata containers.
methods
function obj = Container(varargin)
% CONTAINER Constructor for Container
obj = ob... |
2a17e7ba33a73a70aa6f0b76a1ab6b292ce47270a6e754c21a95ab09b3f9224a | MATLAB | 779 | 22 | function y = input_weights(num_columns,npp,N,num_VTA,gain,VTA_gain)
%instantiation of weight matrix
rho_1 = .7;
rho_2 = .9;
L_ij1 = zeros(N,N);
ndd = npp;
for i = 1:num_columns
j = (i-1)*npp*2;
l = (i-1)*ndd;
L_ij1(j+1:j+npp,l+1:l+ndd) = gain*eye(npp);
a = ones(num_VTA/npp,1);
for ii = 1: npp -1
... |
657f63ecdf8b78454674ca45a8167180fe1d9d363b0194c8934fe06f7d6d08c7 | MATLAB | 779 | 33 | function [tim,perm] = visTextons(textons,fb)
% function [tim,perm] = visTextons(textons,fb)
if size(textons,1) ~= numel(fb),
error('size(textons,1) ~= numel(fb)');
end
[d,k] = size(textons);
% find the max filter size
maxsz = max(size(fb{1}));
for j = 1:d,
maxsz = max(maxsz,max(size(fb{j})));
end
... |
7608fb5ef8eabe19826d34770c603a73844ca75663c0fac4be7cf373f40a5710 | MATLAB | 779 | 15 |
for ii = 1:102
alpha_labels{ii,2} = sum(strncmp(alpha_labels{ii,1},right_sensors_planar,7))+1; %left = 1, righ = 2;
if alpha_labels{ii,2}==1; alpha_labels{ii,3} = 'left';
elseif alpha_labels{ii,2}==2; alpha_labels{ii,3} = 'right';
end
end
% %this is just a reference for ordering sensors according to t... |
9855269e5bb77c8f36862239d43ea89e57e9e7a7f9faf320fb6b5fe4a3c71f24 | MATLAB | 779 | 27 | % This script takes all the sources and detectors of a probe designed in
% MOCA and exports them as an .SD file for use in AtlasViewerGUI
clear all
% Create a layout
% Design Parameters (module, roi, SD sep range)
probe.module = createModule(4, 50); % nsides, mdimension
probe.roi = createROI(100,100); % width and... |
575d7af55132cdd3e462f787eb2ed44efb3a3326807dd9719e08e050612a5e9d | MATLAB | 780 | 32 | function X = convBasis(stim, bases, offset)
% Convolve basis functions to the covariate matrix
%
% stim: [T x dx] - covariates over time
% bases: Basis structure
% offset: [1] optional - shift in time
if nargin < 3
offset = 0;
end
[~, dx] = size(stim);
% zero pad stim to account for the offset
if offset < ... |
f378550d8e8337d283615be3f11774c9a92c701a778f4661bf7aec831b2acb79 | MATLAB | 780 | 22 | Frows=8; Fcols=8;
ff=1; xfac=1; yfac=1;
for fuu = 1:Npass,
% if mod(fuu,Frows)==1 || Frows==1,
% ff=ff+1; firstRow=1;
% figure(tuneFig+ff); clf;
% end;
% if mod(fuu,Frows)==0, lastRow=1; end;
... |
bf3aef1e82aa4de1f28bbc22f3da7c9d64b6f52811c97b2f72a7ca476aae2360 | MATLAB | 781 | 35 | function vl_figaspect(a)
% VL_FIGASPECT Set figure aspect ratio
% VL_FIGASPECT(A) sets the current figure aspect ratio to A. It
% leaves the length of the shortest side unaltered. Both the
% screen and paper positions are affected.
%
% See also: VL_PRINTSIZE(), VL_HELP().
% Authors: Andrea Vedaldi
% Copyrigh... |
d8b7fc5be7ad29a0f2822ff7e7486812ea06ce5b329cf71f07ef5eeb49fdae98 | MATLAB | 781 | 32 | function [psdx, freq] = powerspectraldensity(x, Fs, highpass, lowpass, display)
%PSD Estimates a signal's whole-epoch power spectral density using FFT.
% Detailed explanation goes here
if ~exist('display','var')
display=false; % defaults to not displaying plot
end
N = length(x);
xdft = fft(x);
xdft = xdft(1:N/2+... |
70ce401c30e0a35ec5cd53af4b83519bd517f67afb34f1a90fff1cb72ac1b412 | MATLAB | 782 | 15 | function sensitive_per_whisker
%% if neuron i is more sensitive to whisker 1, then create a tuning curve for first and later touches just for that whisker
[~,~,~,~,~,~,deltak,touch_idx,FR,~,~,whisker]=Tcurve_touches_dk(Data.touch,Data.touch_per_whisker,total_psth,Data.deltak_w1,Data.deltak_w2,do_extra_plot,NpointsTcur... |
e17b9f538db07f8b6dde60967d19ce8e5e408239cb5d9a2bb7e7a43cb0f21796 | MATLAB | 782 | 22 | function tree = move(tree,uida, uidb)
% XMLTREE/MOVE Move (move a subtree inside a tree from A to B)
%
% tree - XMLTree object
% uida - initial position of the subtree
% uidb - parent of the final position of the subtree
%__________________________________________________________________________
%
% Move a subtr... |
fb84d4afa564ce86c346e45cd991d110c0df3a5d45489e6831455b0791b083cb | MATLAB | 782 | 19 | function noisy_out = PoissonGaussNoiseModel_camera(clean_in, noise_params)
% noise model for camera
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Input Parsing
% noise_params = check_noise_params(noise_params); % Check the noise parameter struct for missing ... |
0817312cf109992f9d9499e06c21692726cc56a1bfa9510241ccc30f0746ecf0 | MATLAB | 783 | 28 | function conn = genconn(start,ends,weight,locs,misc)
% conn = genconn(start,ends,weight,locs,misc)
%
% Function to generate a connection structure (piece of blood vessel;
% edge between nodes) Connections are a structure array with fields:
%
% conn.start - start node
% conn.ends - end node
% conn.we... |
ccded382d07ec40cd53787b0d188f0165a200b492862ad3474e075b7dcdff3a9 | MATLAB | 783 | 19 | function [pos1, pos2, pupilStart1, pupilStart2] = convertPosition(pupilStart1large,pupilStart2large, radiiPupil, ROIpad, imgSize)
roiwidth = mean(radiiPupil)*2+ROIpad(1); % [x]
roiheight = mean(radiiPupil)*2+ROIpad(2); % [y]
%% Select ROI
pos1 = round([pupilStart1large 0 0] + [-roiwidth/2 -roiheight/2... |
15a7e727ebf3ee317746b15ae51d0d1f1cc0db478d72d5b0847beeb535e7ef78 | MATLAB | 784 | 37 | function [f] = csFilter(sigma,support)
% function [f] = csFilter(sigma,support)
%
% Compute unit L1-norm zero-mean difference-of-Gaussians
% center-surround filter.
%
% INPUTS
% sigma 2-element vector of inner/outer sigma.
% [support] Make filter +/- this many sigma.
%
% OUTPUTS
% f Square filter.
%
% Dav... |
4df9a245315089ebd580b75e0b7a2c7ae97b4c11bcaec1ca07b4633ee1e066fe | MATLAB | 784 | 32 | % swapLeftRightLegs.m
%
% Helper function to swap left and right leg indices
%
% INPUTS:
% legInd - current index of leg
% matchedLegInd - matrix matching legs, one column for left, one column
% for right; same row is same leg
%
% OUTPUTS:
% newLegInd - new leg index, swapping left and right
%
% CREATED: 6/... |
f1d8b8ace154b07475c1dc13417145e311e125d8f895b0d9cba7dbbca5a5fa65 | MATLAB | 784 | 22 | function create_csv_files(bias_threshold, std_threshold,AxTM,path_of_script,names)
algo_names = {'standard DKI', 'AxDKI' , 'standard DKI RBC', 'AxDKI RBC'};
for i = 1:5
table = array2table(bias_threshold.(names{i})','RowNames',algo_names,'VariableNames',[AxTM,'Maximum']);
table_name... |
350532c998ac469c4f44c46f045eb15460bbb1ec794c27504eec6e1ce139e627 | MATLAB | 785 | 29 | % mglGetErrorMessage.m
%
% usage: msg = mglGetErrorMessage()
% by: justin gardner
% date: 01/26/23
% purpose: Gets an error message from the mglMetal app
%
function [msg, results] = mglGetErrorMessage(socketInfo)
if nargin < 1 || isempty(socketInfo)
global mgl
socketInfo = mgl.activeSocke... |
6db1e0d800c038fb5f549c1c55772452edc477d73614e4c22f3a69a4b6b11768 | MATLAB | 785 | 27 | close all
clear all
clc
nSamples = 1000;
% Generate random samples in [0, 2pi)
sample = ml_stats_gen_uniform_samples(nSamples, 0, 2*pi);
% Generate a uniform peak around 90 degrees
peak = ml_stats_gen_uniform_samples(200, pi/2-pi/6, pi/2+pi/6);
% Make a set of samples that have the peak added to it
sampleWithPeak =... |
e03d0e82f4200767e3480dd981aa7e65490e3362f32a586fa95bd872d98477be | MATLAB | 785 | 35 | % plot_err_patch_v2.m
%
% Function to plot trace (as line) with shading behind it for error values
%
% INPUT:
% x - x values
% y - y values for line
% e - error values, plotted with shading as +/- that error value in y
% dimension at corresponding x value
% col1 - color of line
% col2 - color of shading... |
2a8524a5971bfe8b077cc4d1f66c23e43daa094ef0936e6587a6aecb12a35e73 | MATLAB | 786 | 38 | function OutImg = Gabor_output(InImg, bestWavelets, NumFilters)
%init
ImgZ = length(InImg);
OutImg = cell(NumFilters*ImgZ,1);
%init
gaborResponses = cell(ImgZ, 1);
%loop on images
for i = 1 : ImgZ
%image
img = InImg{i};
gaborResponses{i} = computeGaborResponses(img, bestWavelets, NumFilters);
end %parfo... |
669b66297c809743d6d685ab7d00af44409ecbfc64fb6a1f52f5f6922d852e12 | MATLAB | 786 | 27 | function J = vl_imup(I)
% VL_IMUP Upsample an image by two
% J=VL_IMUP(I) doubles the resolution of the image I by using
% bilinear interpolation.
%
% See also: VL_IMDOWN(), VL_HELP().
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library a... |
ec50e58738493bb5faefeab44549060ccad7ea4064d4238f2f34f150a41fd1e9 | MATLAB | 786 | 13 | %evaluate the optimization in validation camera
SC = laser_on(SC);
OPT_S.las_SLM_flag = 1;
OPT_S.cam_SLM_flag = 0;
activate_func_had_fin(SC,OPT_S); %set final function on laser SLM
%% fluorescence
SC = set_PG_BP(SC); ... |
20daa134cc2b80f025c5be997c449cfac51f8ffd50be077c8cdeb8d440a682db | MATLAB | 787 | 39 | function z = distSqr(x,y)
% function z = distSqr(x,y)
%
% Return matrix of all-pairs squared distances between the vectors
% in the columns of x and y.
%
% INPUTS
% x dxn matrix of vectors
% y dxm matrix of vectors
%
% OUTPUTS
% z nxm matrix of squared distances
%
% This routine is faster when m<n th... |
2a0f6df71f1765937f00e55a285c75c46e3ea936dd9ca2a82f6470fb7d801bf5 | MATLAB | 787 | 35 | % VL_DEMO_SIFT_PEAK Demo: SIFT: peak treshold
randn('state',0) ;
rand('state',0) ;
I = double(rand(100,500) <= .005) ;
I = (ones(100,1) * linspace(0,1,500)) .* I ;
I(:,1) = 0 ; I(:,end) = 0 ;
I(1,:) = 0 ; I(end,:) = 0 ;
I = 2*pi*4^2 * vl_imsmooth(I,4) ;
I = single(255 * I) ;
figure(1) ; clf ;
imagesc(I) ; colormap ... |
5401b94a861d99e1364be3d1fefdc395dd55fab1acc46be6838a2585c61a156b | MATLAB | 787 | 25 | function cmap = getColormapPRFModels(type)
switch type
case 0 % Dark gray LSS
gray = [0.5 0.5 0.5]; % LSS
orange = [255 140 0]./255; % CSS
blue = [26 115 225]./255; % CST
cmap = [gray;orange;blue];
case 1 % Light gray LSS
gray = [0.7 0.7 0.7];... |
c4e31565e96d72e9a27450c7e832d925648880bd690e3c1ebb2ffa0eb3fe5ef5 | MATLAB | 787 | 28 | function [L, U, ev] = graph_laplacian(A, method)
%graph_laplacian Computes the graph laplacian in addition to its
%eigenvectors and eigenvalues. Also sorts the eigenvalues/eigenvectors as
%ascending.
% Function:
% [L, U, ev] = graph_laplacian(A, method)
% Input:
% A - Adjacency Matrix
% method -
% ... |
0760692fab18b038448b85e1e6b0db25371625b8542a02149e33241795862627 | MATLAB | 788 | 15 | function [] = analysisProfiles(data,fg,name,ytitle,ylim,ytick,numnodes,units)
h.tpfig = figure('name', 'My tract profile','color', 'w', 'visible', 'off');
tract_profile = plot(data,'color', [0.2 0.2 0.9],'linewidth',4)
ylh = ylabel({ytitle;strcat('(',units,')')});
ylim = ylim;
ytick = ytick;
set(gca, 'fontsize',20, 'b... |
86a83fc40fa897219127b019dbf0434d9809d24d6297eb7cc54298cf09dd5299 | MATLAB | 788 | 27 | classdef NWBDataInterface < types.core.NWBContainer & types.untyped.GroupClass
% NWBDATAINTERFACE An abstract data type for a generic container storing collections of data, as opposed to metadata.
methods
function obj = NWBDataInterface(varargin)
% NWBDATAINTERFACE Constructor for NWBDataInterface
... |
a3325faa3276a22544a151a3c482f380042c9712861887320d1e20d83f989426 | MATLAB | 788 | 17 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [plottingSettings] = plotting_settings_load(analysisSettings)
plottingSettings = [];
plottingSettings.NORMAL_BFO90_SHOW_EXCLUDED_COLUMN = false;
plottingSettings.STABILITY_BFO90_SHOW_EXCLUDED_COLUMN = false;
... |
155c682a7d5dad7581c745e476fa507d8136d6afa45f07b8fecd4d5cecef00bc | MATLAB | 789 | 28 | function ml_egomaps_draw_grid(RADIUS_CM)
coordinatesRadii = 1:RADIUS_CM;
coordinatesAngles = [0, 45, 90, 135, 180, 225, 270, 315];
% Draw the circles
for i = 1:length(coordinatesRadii)
h = ml_egomaps_draw_circle(0,0,coordinatesRadii(i));
set(h, 'linewidth', 1)
end
% Draw th... |
863676e1d5515aaf8999de6b85ae86ebe8d2fad7c9dcc25e42613791b1edd71f | MATLAB | 791 | 25 | function [prob_states, logprob] = find_states(seq, pi, A, b, n_state)
%% Compute the probabilities of hidden states given an observation sequence.
%% authors: Stefano Diomedi
%% date: 22nd February 2024
%
%% Inputs:
% - seq: Observation sequence.
% - pi: Initial state probabilities.
% - A: State transition mat... |
0e0b4a3c1719dbbfbd6787d9d65b043db19c9baaadff81bb13170eaec0dc9473 | MATLAB | 792 | 32 | function version = om_getgccversion
% checks for gcc compiler version (works if superior to gcc3)
% Copyright (C) 2010, Alexandre Gramfort, INRIA
% $Id: om_getgccversion.m 8991 2013-12-09 10:45:52Z roboos $
% $LastChangedBy: alegra $
% $LastChangedDate: 2010-04-19 11:03:39 +0200 (Mon, 19 Apr 2010) $
% $Revision: 8991 ... |
29743eb08690f69e7c79c3a99721ad673f0ee0de500944fd2d0cc502cb93eeda | MATLAB | 793 | 29 |
function layers=gen_padding_keep_size(layers)
for l_idx=1:length(layers)
l=layers{l_idx};
if strcmp(l.type, 'conv')
filter_size=size(l.filters);
pad_size1=round((filter_size(1)-1)/2);
pad_size2=round((filter_size(2)-1)/2);
%To verify the order...
... |
82f96e0175fd2112aac5e3d7050f98ab4b48b59c31144d33f7690371f77d6269 | MATLAB | 793 | 26 | function [cleanTracks] = cleanSTracks2(sTracks,minVisibleFrames)
%filter tracks less than minVisibleFrames
cellLengths = (cellfun('size',{sTracks.data},1))';
killIdx = find(cellLengths < minVisibleFrames);
cleanTracks = sTracks;
cleanTracks(killIdx) = [];
%filter tracks with all nans
killIdx... |
ab7c19531863b45f3de443b6dc4da44ef04736ce0815fb413d924866dfcfb3c4 | MATLAB | 793 | 29 | function htprs = transformhprs(hprs,dir)
% htprs = transformhprs(hprs,dir)
%
% Transform hyper-parameters of Bernoulli GLM to or from R^n for easier
% optimization
%
% INPUTS:
% hprs [m x 1] - hyperparameters (pre- or post-transform)
% dir - "+1" => to R^n; "-1" => from R^n to natural range
%
% OUTPUTS:
% htprs ... |
e373bb57f3b1f65f10e3f3c6b8f966304a9804c1849af5e1ea72f4bebeb6a274 | MATLAB | 793 | 29 | function [xj, yj] = ml_bs_discretize_xy(bs, x, y)
if size(x,1) ~= 1 && size(x,2) ~= 1
error('Invalid size of x. Should be 1xN.');
end
if size(y,1) ~= 1 && size(y,2) ~= 1
error('Invalid size of y. Should be 1xN');
end
if size(x,1) ~= 1
x = reshape(x, 1, numel(x));
... |
a128d5c6cb2640f2dad7a6d413956d8c455f67f3bcb3efe2a87ec3dd3481d20f | MATLAB | 794 | 27 | function ml_util_corr_errorbar_groups(groupMean, groupStd)
% Give each group a different color
numGroups = size(groupMean,2);
blue = linspace(0.5,1,numGroups);
alpha = linspace(0.8, 0.2, numGroups);
%hBar = bar(1, groupMean);
hBar = bar(groupMean);
for iGroup = 1:numGroups
%... |
7ff4f1473458fbcde00e2b7a77bc1c7fa957019dc8d9af673654c36b3fa00bc5 | MATLAB | 795 | 39 | function results = vl_test_argparse(varargin)
% VL_TEST_ARGPARSE
vl_test_init ;
function test_basic()
opts.field1 = 1 ;
opts.field2 = 2 ;
opts.field3 = 3 ;
opts_ = opts ;
opts_.field1 = 3 ;
opts_.field2 = 10 ;
opts = vl_argparse(opts, {'field2', 10, 'field1', 3}) ;
assert(isequal(opts, opts_)) ;
opts_.field1 = 9 ;
... |
929e16afe84bb4093d60fa603bcf438177b47ebbd5e6341f896d3a5c11ce3b41 | MATLAB | 795 | 9 | % script to test for gamma table setting problem. The issue is that if you change resolution (either pixels or refresh rate) from the default settings of the monitor in mglEditScreenParams then mac will need to reset the monitor which takes a brief moment and the screen goes dark. initScreen then sets the gammaTable to... |
c386cfbe66c1fc5f430a10fb643b7bc3f875d3417493b878953458f77344b7cd | MATLAB | 795 | 38 | function results = vl_test_imarray(varargin)
% VL_TEST_IMARRAY
vl_test_init ;
function test_movie_rgb(s)
A = rand(23,15,3,4) ;
B = vl_imarray(A,'movie',true) ;
function test_movie_indexed(s)
cmap = get(0,'DefaultFigureColormap') ;
A = uint8(size(cmap,1)*rand(23,15,4)) ;
A = min(A,size(cmap,1)-1) ;
B = vl_imarray(A,'m... |
3023d473fb59ddd0e74d4bfcddba18d520a6f54cb61cc1078f745177a743b121 | MATLAB | 796 | 18 | % mglSetMousePosition.m
%
% program: mglSetMousePosition.c
% by: Christopher Broussard
% date: 02/03/11
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Sets the position of the mouse cursor. The position is in
% absolute screen pixel co... |
65ce1555f68d0e39a394068cee321b94ecc3d7baf3eb8a82c519d9d7a25fd1ec | MATLAB | 796 | 29 | % get subnetwork labels for Desikan atlas
%
% 2023-10-13 Jonathan Wirsich
function [masks, mask_labels] = init_subnetwork_masks()
%only desikan for now
regions = 68;
intrahemi_left = zeros(regions);
for r1 = 1:regions/2
for r2 = r1+1:regions/2
intrahemi_left(r1, r2) = 1;
... |
646ff28fdd45a7c2a56f39478422688b7bd250d5f33e4b74814c0e3c55e93f05 | MATLAB | 797 | 18 | function [randmat] = random_matrix(mat)
% This function creates random matrix according to Humphries, M. D., & Gurney, K. (2008). Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence. PLoS One, 3(4), e0002051. doi: 10.1371/journal.pone.0002051
% Basically it assigns each entry... |
c214387377c1363eec68db83a19bf93dfffbd573087600c456e8995ca46f3a89 | MATLAB | 797 | 30 | function b = NormalizeRows(a, n)
% Normalizes the rows of a. Makes sure there is no division by zero: b will
% not contain any NaN entries.
%
% a: data with row vectors
% n: The rows will sum to n. By default n = 1
%
% b: normalized data with row vecors. All rows sum to one exce... |
5faa50f1a04a359ce4175f313f750a22680685884400e2eff23c2f35bdc9c80f | MATLAB | 798 | 26 | function [tiflink,tagStruct] = tifinitialize(filename,imsize)
% [tiflink,tagStruct] = tifinitialize(filename,imsize)
%
% Function to write initialize saving appended tif to disk
%
% 2019 - Alex Song
tagStruct.ImageLength = imsize(1);
tagStruct.ImageWidth = imsize(2);
tagStruct.Photometric = Tiff.Photometric.MinIsBlac... |
a325ba40dcc3473f28dafc2eff645f506e454599755a00f068d629dcb31247ee | MATLAB | 798 | 32 | function [] = Fig05_AveSongComb()
% Code for plotting the population averaged ΔF/F for the difference between pulse and sine song around song-type in Fig. 5c,e.
%% parameters
GT = 'fruD'; % Fig. 5c
% GT = 'fru'; % Fig. 5e
switch GT
case 'fruD'
DataFlag = [1,0,1,1,0,1,1,0,0,0,1];
crange = [-1 1]*.1... |
697844748187ceaee4d5d18b365ec050e84e78be7ce034ccd306e7a275d1c072 | MATLAB | 799 | 20 | function [P, E] = bemf4_surface_field_electric_plain(c, Center, Area)
% Computes potential/continuous electric field on a surface facet due to
% charges on ALL OTHER facets using plain FMM
% Self-terms causing discontinuity may not be included
% To obtain the true field, use E = E/eps0;
%
% Copyright SNM 2017... |
1bbe3bcccaddcf447f80f17e7a29f68b781ed9bd4216c81dd484ce5aba87b4c4 | MATLAB | 800 | 35 | % drawROIs.m
%
% Allows user to select ROIs from an image. Uses built-in Matlab function
% that lets you draw polygons on figures.
%
% Inputs:
% avgIm - 2D image array (i.e. average image of time series)
%
% Outputs:
% roiMasks - cell array of logical array indicating pixels corresponding
% to ROIs
%
funct... |
a643da11869a9d3a6708141b526fd48619ce9ff13f593438aa87c32838daeac8 | MATLAB | 802 | 20 | % SONLASTPOINTSTIME returns the time for which a read will terminate
%
% Implemented through SONLastPointsTime.dll
%
% TIME=SONGETADCDATA(FH, CHAN, ETIME, STIME, LPOINTS, BADC {, FILTERMASK})
%
% INPUTS: FH SON File Handle
% CHAN Channel number (1 to SONMaxChannels)
% STIME Searches back from this... |
dce3358764bd95c8c62626b8e1faf42f0e12ba63cf88b7e4e5efbda89bbb6492 | MATLAB | 802 | 24 | function [folders, folder_count] = getfoldersGUI()
%lets ute user select a master parent folder, recrusively map all
%experiments inside by the tags, and allows the user to select a subgroup
%of experimental folders
[folders, folder_tags, ~] = catalog_tags();
while true
%call the gui for resolution whi... |
59ca5ab6701743e488f02ff41c0423850cbd591dd1f721dad5f3f11af40a2e55 | MATLAB | 803 | 37 | function varargout = dim(varargin)
% Format
% For getting the value
% dat = dim(obj)
%
% For setting the value
% obj = dim(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: dim.m 8776 2013-11-14 09:04:48Z roboos $
i... |
9cbbae3b8ceb945f388a287e9d0d7ef4a83f49b2b9b766cdd21b979a10919bbf | MATLAB | 803 | 22 | function y = L_ij_no_rand(num_columns,npp,N,num_VTA,l5_rec,l23_rec,l5_l23,l23_l5,l23_l23,l5_VTA,l_23_l_VTA)
%instantiation of weight matrix without randomness
L_ij1 = zeros(N,N);
for i = 1:num_columns
j = (i-1)*npp*2;
l = (i-1)*npp;
if i < num_columns
L_ij1(j+npp+1:j+(2*npp),j+(2*npp)+1:j+npp... |
e4ee6a2b4b1bb27832b75fbf6417e41999d30e526fb690f6e2171904218ebeda | MATLAB | 803 | 27 | function [smapMean, smapStd] = ml_bs_speed_xy(bs, x, y, speed)
% This function discretizes the position values using the bin system.
nel = length(x);
if length(y) ~= nel || length(speed) ~= nel
error('Invalid lengths. All must be the same.');
end
%[trans, xj, yj] = ml_bs_transition... |
3a9d20420873fe6b84a15a8b163b149885a4544d406c560182e074160eaa6e04 | MATLAB | 804 | 29 | % function f_Matrix2Norm.m
%
function m_NormeMat = ...
f_Matrix2Norm(...
pm_InMatrix, ...
ps_UseGlobalLims)
if nargin < 1
error('[f_Matrix2Norm] - ERROR: bad number of parameters!')
end
if ~exist('ps_UseGlobalLims', 'var') || isempty(ps_UseGlobalLims)
ps_UseGlobalLims = 0;... |
79d405d454175bd97eba484fb00ff0691e1de3552c3c3724f858d612e40766d7 | MATLAB | 804 | 44 | %
% Draw a graph layout of one network.
%
% PARAMETERS
% $network
%
% INPUT FILES
% dat/data.$network.mat
%
% OUTPUT FILES
% plot/layout.tmp.a.$network.png
%
network = getenv('network');
consts = konect_consts();
info = read_info(network);
data = load(sprintf('dat/data.%s.mat', network));
A = sparse(data.T(:... |
64f45d6a3c82b95b4aaaea9c96a1d9ab4b59e3a47ab38bbf9bc72f9a0a0317c7 | MATLAB | 805 | 34 | function outputFiles = selectFile(inputfiles,filter,InputFileDelimit)
% Function to select pRF model fit file (?)
%
% outputFiles = selectFile(inputfiles,filter,InputFileDelimit)
%
% INPUTS
% inputfiles : (str) path to input files
% filter : (str) name to search for in files
% InputFileDelimit:... |
df5ed626f208cc2b4d7dc39af65b67ef842312614c3cff41f28b015a74c06444 | MATLAB | 805 | 23 | % COMPILE Script file to compile c-code sources and generate the DLLs
% To compile the files, you will need copies of CED's machine.h and son.h.
% These are proprietory and not included in the distribution. Contact CED.
%
mex -v SONGetADCData.c GetFilterMask.c
mex -v SONGetRealData.c GetFilterMask.c
mex -v SONGetMarkD... |
f0cc002c524dcc7758187df9acc5ec2a2894f34562ab78d83b1adf4315a9ff3c | MATLAB | 806 | 25 | function [ beta ] = bwd_nolog(seq, A, b, s, n_state)
%% Backward algorithm
%% authors: Stefano Diomedi
%% date: 22nd February 2024
% Prepend a dummy value to the sequence
seq = [9999, seq];
n_bin = length(seq); % Determine the length of the sequence
% Initialize the beta matrix with ones
beta = ones(n_stat... |
0e31a0d933c3aa5ce67b3d4104691c3f2cc724e59ad6b3c27447eb65ffd38dda | MATLAB | 807 | 42 | clearvars
Range = 1;
load('ZoneMaster.mat')
load('ExperimentNames.mat')
load('OutNames.mat')
ExpList = ExperimentNames(Range);
OutList = OutNames(Range);
%ReferenceList = vertcat(ZoneMaster{:,1});
for i = 1:size(ExpList,1)
ExpName1 = ExpList{i};
ExpName = strcat(ExpName1,'.mov');
OutName = OutList{i};
locator = Rang... |
1a29b586d2db5af5054e9cb5fd3b44038f47801b661d71509b18b25b22111135 | MATLAB | 807 | 22 | % To improve the nomenclature the trial_#_arenaroi.mat were renamed to
% slice_#_arenaroi.mat because some slices are discarded trials, etc.
% Set this to the outermost parent folder that contains subfolders the
% trial_#_arenaroi.mat
containerFolder = 'T:\Shamu_two_contexts_CA1\tetrodes\recordings';
s = '^(trial_)\d... |
5b28e263b16e8ba1bede7660fc93c54c80beb70729c4de6fd5c8601e78e2db46 | MATLAB | 807 | 41 | %
% Compute the distribution of local clustering coefficients. The
% values are computed for the underlying undirected, unweighted
% network.
%
% ENVIRONMENT
% $network Network name
%
% INPUT FILES
% dat/data.$network.mat
% dat/info.$network
%
% OUTPUT FILES
% dat/cluscod.$network.mat
% c_local Vector of node de... |
69386d61264ce2f39732a2c4f9ead73a2f1e5e411b381169772190774ddaafbc | MATLAB | 808 | 17 | function [x_cm, y_cm, arena] = ml_core_compute_canon_coordinates(arenaRoi_x_px, arenaRoi_y_px, arenaLengthCm, x_px, y_px )
% Construct the appropriate arena. All the shapes have 4 control
% points that serve as references.
refP = reshape(arenaRoi_x_px, 1, 4);
refQ = reshape(arenaRoi_y_px... |
8a2bdcac6e382be8096aef39536214ed45932b1276a0b9d621b6714d1c6cf704 | MATLAB | 808 | 40 | function [InputF,tMax] = TI_Data_Singular(n_inputs,waitT,emissionT, epsT, cycles, interpMode)
% TI data Generator:
% Input is a matrix whose raws represent the input channels
%
% time sequence over which interpolate data
deltaT = [epsT, emissionT, epsT, waitT];
deltaT = repmat(deltaT, 1, cycles);
deltaT = [0, wai... |
aba78e868fba19f95459c1f6ba87bb3e0fc57b54f43a8dd5e1000f4da33228ad | MATLAB | 808 | 32 | function [] = Fig04_AveSongComb()
% Code for plotting the population averaged ΔF/F for the difference between pulse and sine song around song-type in Fig. 4d,f.
%% parameters
GT = 'nsybD'; % Fig. 4d
% GT = 'nsyb'; % Fig. 4f
switch GT
case 'nsybD'
DataFlag = [1,1,1,1,1,0,1,1,1,1];
crange = [-1 1]*.... |
d8bcf27935ba1e4d14b563c6fd3cc9f213a82bd641288ec092d994fea460157a | MATLAB | 808 | 28 | function apc = getAPC(v,g)
%PATHWAYCURRENT Summary of this function goes here
% Detailed explanation goes here
% get the pathway currents
% from Y to X
v_x = zeros(size(g));
v_y = zeros(size(g)); % mean membrane potential
for i = 1:16 % iterate by column, copy same value of all populations
v_x(:,i,:,:... |
0659bd47ead0fcc3f42af033a991ffe9dbb60066900b7ed7137012cfd4ae6250 | MATLAB | 809 | 28 | % loadTrkFile.m
%
% Function to load Animal Part Tracker (APT) .trk output file. Returns leg
% X and Y coordinates, in pixels.
% For current orientation of fly, X is the axis parallel to the long axis
% of the fly. Y is axis perpendicular to long axis of fly.
%
% INPUT:
% trkFilePath - full path to .trk file
%
% OU... |
2b586087bd591c209de3fce69da72b625f942963fbde2acdbff08e2fd187715e | MATLAB | 809 | 27 | function [trans, xj, yj] = ml_bs_transitions_xy(bs, x, y)
[xj, yj] = ml_bs_discretize_xy(bs, x, y);
inds = sub2ind([bs.ny, bs.nx], yj, xj);
gids = ml_util_group_points_v2(inds);
trans = {};
uinds = unique(inds);
for i = 1:length(uinds)
ind = uinds(i);
j = find(inds == ind);
... |
8ad7d63273f5de854c012003dd69abc956654414008ab2c6033c56da7fa8c357 | MATLAB | 809 | 19 | % VL_HIKMEANSPUSH Push data down an integer K-means tree
% PATH = VL_HIKMEANSPUSH(TREE,X) quanizes the data X with the
% hierachical integer K-means tree TREE. This is obtained by
% calculating the path of each datum from the root of TREE down to a
% leaf. Here X has a datum for each column and each column of... |
907d7be0406333d5343ea3ba16bdc0073c8eb021a2cdbb24d574e32f833803ef | MATLAB | 810 | 35 | % fit2PiPerSine.m
%
% Helper function to fit sine of period 2 pi to the input data. Returns
% fittype model.
% Equation: a*sin(x+c) + d
%
% INPUTS:
% x - x values for fit, in radians
% y - y values for fit (independent variable)
% startVals - start values for a, c, and d, as vector
%
% OUTPUTS:
% fittedMdl - ... |
f7da730d4a9dcc74f3ca483b6f1cf0878e3c435c5db3c8a26752acb3cd30ed60 | MATLAB | 810 | 37 | function varargout = dim(varargin)
% Format
% For getting the value
% dat = dim(obj)
%
% For setting the value
% obj = dim(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: privatedim.m 8776 2013-11-14 09:04:48Z roboo... |
ffc3eb152837a919b2c9df16b2741eaa9327d329853cc2fcae2f39f2d7e6cb87 | MATLAB | 810 | 42 | clearvars
Range = 1208;
load('ZoneMaster.mat')
load('ExperimentNames.mat')
load('OutNames.mat')
ExpList = ExperimentNames(Range);
OutList = OutNames(Range);
%ReferenceList = vertcat(ZoneMaster{:,1});
for i = 1:size(ExpList,1)
ExpName1 = ExpList{i};
ExpName = strcat(ExpName1,'.mov');
OutName = OutList{i};
locator = R... |
245a3d0e418be6cf2b03ea5a7c0cd78ec7f55d09c25f65b587e7f7f8f26e3f0a | MATLAB | 811 | 24 | % Get header of bookmark
% [ Yokogawa MEG Reader toolbox for MATLAB ]
%
% brief:
% This function retrieves information about bookmark in the specified file.
%
% usage:
% bookmark = getYkgwHdrBookmark(filepath)
%
% arguments:
% filepath : file path
%
% return values:
% bookmark : structure ... |
41b2c613f5ad73e2300cfbbfcb4371e739b084b53fd5816787245c16b3551a6c | MATLAB | 811 | 33 | function results = vl_test_inthist(varargin)
% VL_TEST_INTHIST
vl_test_init ;
function s = setup()
rand('state',0) ;
s.labels = uint32(8*rand(123, 76, 3)) ;
function test_basic(s)
l = 10 ;
hist = vl_inthist(s.labels, 'numlabels', l) ;
hist_ = inthist_slow(s.labels, l) ;
vl_assert_equal(double(hist),hist_) ;
function... |
a2e26d602c50ef7788df89ed6890a66ac117316e2fec288e609356540682f166 | MATLAB | 811 | 25 | function n_cores_to_use = set_up_parpool_for_flytracker(options)
n_cores_on_host = get_maximum_core_count() ; % works on LSF node
n_cores_to_use = min(n_cores_on_host, options.num_cores) ;
% open parallel pool if not already open
if n_cores_to_use > 1
try
open_pool = 1;
... |
ec5a807f83eb626c6adf1cd905835d5c411df54e2e8c4e006a3e1cec3eb42b91 | MATLAB | 811 | 27 | close all
clear all
clc
nvtFilename = fullfile(pwd, 'VT1.nvt');
%[TimeStamps, ExtractedX, ExtractedY, ExtractedAngle, Targets, Points, Header] = Nlx2MatVT( nvtFilename, [1, 1, 1, 1, 1, 1], 1, 1, 1 );
[TimeStamps, ExtractedX, ExtractedY, ExtractedAngle, Targets, Points, Header] = ml_nlx_nvt_load( nvtFilename );
outp... |
64ff25e4f5005c74d2ea16eb79e7859bac10b987cb156ad07afb7f99b232f041 | MATLAB | 812 | 29 | function [streamlines,n_nodes] = load_streamlines(directory,pattern)
% Load the streamlines given the pattern that represents the groups
% Get a list of txt files in the directory
fileList = dir(fullfile(directory, "*-"+pattern+"*.txt"));
% Initialize the 3D matrix and the list of person numbers
numFiles = numel(file... |
65eb37999ae33d2ef2fabd7964307251d2960204569067ab55eae7ee7466e300 | MATLAB | 812 | 27 | function [A,B,C] = cart2tern( X, Y, wlimits )
%cart2tern return ternary coordinates A,B,C from X-Y coordinates
%
% This assumes, X-Y are defined for A,B,C with wlimits.
% First check if length is specified
if (nargin<2)
error('Too few Arguments')
elseif (nargin<3)
wlimits = ternary... |
85879b11a147174482a5e19be61db2224eba2223856b67dcc3be88fa81795c33 | MATLAB | 812 | 37 | % mglCameraCapture.m
%
% usage: cameraImage = mglCameraCapture;
% by: justin gardner
% date: 10/07/19
% purpose: Function to get an image from a connected FLIR cameras, if you
% specify a number, you can get that many consecutive images
% e.g.: image = mglCameraCapture
% e... |
e41aa3e457d9589e699e1b638687245a1676c4bf11bbe93a4f5bb7bd7f84b0c0 | MATLAB | 812 | 18 | function handles = fix_SwapIdentities( handles, f, fly1, fly2, varargin )
% swaps the identites of two flies, from frame f until their ends
% splintered from fixerrorsgui 6/21/12 JAB
trk1 = fix_GetPartOfTrack(handles.trx(fly1),f,inf,varargin{:});
trk2 = fix_GetPartOfTrack(handles.trx(fly2),f,inf,varargin{:});
handles.... |
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