sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
90dc52eb0fdc3206fd2639dfe766ce6f41ac4b5e13e17f42ab072bea2e623d0b | MATLAB | 2,123 | 61 | %%
addpath(genpath('.'))
addpath(genpath(fullfile('..','ANE')))
clear gui;
global gui;
global txtFntSz;
global video;
global masks;
global area;
% global r_bg_ratio;
global comx;
global comy;
global list_weight;
global list_weight_trace;
global list_weight_frame;
global list_neighbors;
% global list_mask_update;
% gl... |
fd41024f899573f5787e420783b6ac7ee148fa3737306c082e1eec093ddf076a | MATLAB | 2,123 | 61 | function sal_opt = treeRankingCandicate(I_fcn, grids, slabel, sc, sr, ssprank)
[imh_p, imw_p, ~] = size(I_fcn);
if ndims(slabel) == 4
[sc, sr, pixNum, treeNum] = size(slabel);
slabel_d = double(reshape(slabel, [sc * sr, pixNum, treeNum]));
elseif ndims(slabel) == 3
[sz, pixNum, treeNum] = size(slabe... |
143a3e21e25765e01d13f77213c69a48be2d61293f1e2ec02b12f77da4044f0a | MATLAB | 2,124 | 72 | function [conf, args] = vl_argparse(conf, args, varargin)
% VL_ARGPARSE Parse list of parameter-value pairs
% CONF = VL_ARGPARSE(CONF, ARGS) updates the structure CONF based on
% the specified parameter-value pairs ARGS={PAR1, VAL1, ... PARN,
% VALN}. The function produces an error if an unknown parameter name
%... |
429e03da4e39c4c0de3cfe391e7256dc46df650619f323966e4aef36d18b4119 | MATLAB | 2,124 | 70 | function [pos,pdf] = pseudoRandSample2D(sz, nsamps, width, weight, pdf, maxit)
% [pos,pdf] = pseudoRandSample2D(sz, nsamps, width, weight, pdf, maxit)
%
% Function to sample pseudo randomly within a 2D matrix, with partial
% exclusion of previously sampled locations. The inputs are:
%
% - sz - Size of input ... |
1bbcc9d994f664d60faf0d4cf4f88b79f13b91430037b39ec37535306654b8b4 | MATLAB | 2,125 | 59 | % Function: decorrelate input images, the transform matrix is approximately predifined as suggested in Ref.
% Input: comb_img - the raw RGB image
% trans_matrix - decorrelation matrix
% Output: decor_img - the decorrelated images
% Ref: Multi-spectral SIFT for Scene Category Recognition, CVPR 11.
% Auth... |
5bf92351772f8d051d30f208393cedff51445fd5f9df8901051e1532b2cc2d62 | MATLAB | 2,125 | 75 | function [cspfeature, cspw] = CSP(eeg,label,m)
% Common Spatial Pattern
% Input:
% eeg: Raw EEG Data, the data format is [Ntime*Nchans*Ntrial], where Nchans
% is number of channels (EEG electrodes) and the Ntime is the number of
% EEG samples, and Ntrial is the number of trials.
% label£ºdata label, the value... |
6346850f297ef3441e2a7faf00d61b4f6cb87262f5d7d3df7f06ffecda134ef2 | MATLAB | 2,125 | 58 | function create_sfp_celllike_database(obj, session)
fprintf('Creating spatial footprint (sfp) cell-like database for session %s\n', session.getName());
numTrials = session.getNumTrials();
% Load the cell-like data for each trial
trialSfpCellLike = cell(numTrials,1);
for iTrial = 1:numTrial... |
25dbefd5a1b4f70ac63539c4d0358727aad5d9201e36f2115adf491df10c535a | MATLAB | 2,126 | 34 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [RMAverageStable, RMAverageUnstable, RMAverageStableWithinAcross, RMAverageUnstableWithinAcross] = ...
compute_stability_animal_averaged_rate_matrices_within_across(SessionsToGroups, RateMatrices, BestAligned, ...
BE... |
03527f33501c98acbb4061a7ec89e02a2b9fcdce953c1d7b3ea5467123d012ca | MATLAB | 2,128 | 78 | function [vertex_coords, faces] = read_surf(fname)
%
% [vertex_coords, faces] = read_surf(fname)
% reads a the vertex coordinates and face lists from a surface file
% note that reading the faces from a quad file can take a very long
% time due to the goofy format that they are stored in. If the faces
% output variable ... |
bcb5fea5ad68cc5a40257f966622fde8d103643dad47298a3b03b8594dfd728e | MATLAB | 2,129 | 45 | function [ns_RESULT, TimeStamp, Data, DataSize] = ns_GetEventData(hFile, EntityID, Index);
%ns_GetEventData Retrieves event data by index
%
% Usage:
% [ns_RESULT, TimeStamp, Data, DataSize] =
% ns_GetEventData(hFile, EntityID, Index)
%
% Description:
% Returns the da... |
305d5633011a8cd49023b453da1b2d1d34f00631b4acae931df8ff72601c3f1e | MATLAB | 2,130 | 46 | function learn_data = feat_augment_data(data, names)
[logfeat, normfeat] = feat_augment_log_and_norm() ;
epsi = 0.001;
% use floowing wavelets to take 1st and 2nd derivatives of features
wavelets = [0 0.5 -0.5 0 0; % tight 1st deriv gauss
0 0.25 -0.5 0.25 0]; ... |
eb249d99582d3105b43a6bad3ccd4928e9e1dcd5c2571274cf06c3a787c4dbee | MATLAB | 2,130 | 49 | 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 = 8;
SNRs = 3;
output_folder = ['./','EXTRACT_radius',num2str(radii),'_SNR',num2str(SNRs)','./'];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SN... |
f9d35212db5fc1ba1e808de645b6b2913f1fcbc26be58baa3aedb8460d34e51a | MATLAB | 2,130 | 100 | %
% Plot a time histogram.
%
% PARAMETERS
% $network
%
% INPUT
% dat/time.$network
% uni/meta.$network
%
% OUTPUT
% plot/time_histogram.[ab].$network.eps
% (a) Distribution density plot
% (b) Cumulative plot
%
bins = 90;
font_size = 44;
line_width = 14;
color_1 = [0 0 1];
network = getenv('network');
'loa... |
a2d65ac2343c87d8de3eb003c5900bf9796289854873985a479654595a08c172 | MATLAB | 2,131 | 110 | % script for quick plots of average leg steps, FicTrac, iInj data
datPath = '/Users/hyang/Dropbox (HMS)/EphysAnalysis-Helen/AnalyzedData/220920_iInj_cond_200msStart_200msWin_l-50yawAngVel';
%
datNames = {'220912_fly01', '220912_fly02'};
legInd = [1 2 3 4 5 6; 1 2 3 4 5 6];
durInd = 1; % 0.5 s
ampVal = 100; % amp = ... |
62b9463d9a8e112b2f0e8ea885a83d73ef6d28956d27d061651263bd8413095c | MATLAB | 2,132 | 60 | function cls = get_class_data(stg,prf,clean_data,seq)
% returns the data for each class and each subject for the given ROI.
%
% CLS = GET_CLASS_DATA(SETTINGS,PROFILE,CLEAN_DATA) gets the cleaned data
% CLEAN_DATA of the given ROI and returns the data CLS grouped by classes
% and subjects.
%
% Ehsan Kakaei, Joche... |
6f425f2ee6a9212730271b649562f4680d6fef98e74343d67693a48aabe6ab46 | MATLAB | 2,132 | 72 | % Basic MOBI functionality
%% Original, "straight line" probe
% 1 - Module geometry - MOBI Module - Blue icons in flowchart inside MOCA
% github
probe.module = createModule("MOBI", 53);
probe.module.srcposns = [16,0; -16,0; 0,11;];
probe.module.detposns = [0,19;0,-19];
probe.spacing = 4; % adding 2mm of silicone in c... |
32d0e097de8cd04c4a8b83f5b8d4a0537e9da89e0aa8717abbc5edede0fcb92f | MATLAB | 2,133 | 53 | function [Pwire, Ewire] = wire_single_rung(L, a, b, N, M, type)
% This function creates the structured centered wire grid for a single
% straight rung with
% a - cross-section radius in m when option type='circle' is chosen for
% the rung cross-section
% a, b - rectangle sides in m when option type='rect' is... |
65edac1ab425ee9f78b0a6874413d26792d2cf971e9f55f1a1be2894e805a670 | MATLAB | 2,133 | 69 | % addFictracParams.m
%
% Quick function to save FicTrac parameters from filtFictrac_all() into the
% pData file. Corrects for bug (fixed 9/26/20) where it wasn't saved.
%
% INPUTS:
% none, but prompts user to select pData files to add FicTrac parameters
% to
%
% OUTPUTS:
% none, but updates pData file with FicT... |
7a481c03aa6dcfb3f4a81f34fa16f5184b6a7f57da8852da03fb839f1af35f0f | MATLAB | 2,133 | 61 | function [Spectra, SpectraFrames, SpectraTracks, Amps, f] = generate_spectra(Projections, Velocities, parameters)
%This function gets the wavelet transform given tracks
L = length(Projections);
Spectra = cell(1,L); %full wavelet transform
SpectraFrames = cell(1,L); %keep track of each datapoint's frame ind... |
7dc53d311a0c0f1678880d8ed19f5f07a29dfde722a7b38d98298a653f7b0bc3 | MATLAB | 2,133 | 51 | % mglSocketAcceptConnection: As a server, accept a pending client connection.
%
% $Id$
% usage: s = mglSocketAcceptConnection(s)
% by: justin gardner and ben heasly
% date: 12/26/2019
% copyright: (c) 2021 Justin Gardner (GPL see mgl/COPYING)
% purpose: Accept a pending client connection, ... |
8b7320ae432d336cea6ddd5bac6d1d4734849ca205e7474bd2dbcfefba9221ea | MATLAB | 2,133 | 55 | clear;
close all;
initime = clock;
addpath('funcs');
% get the change of PET in parameter space
Delta_e_start = 0.125; % cannot equal to 0
Delta_e_end = 0.4; % can equal to 0.5
Delta_i_start = 0.0125; % cannot equal to 0
Delta_i_end = 0.029; % can equal to 0.5
Delta_steps = 101;
Iattn = 0.02;
time = 10000;
% contain... |
a4a3c7f2293425dfe9d5f671e1fa7fd0991ee23b5a84ac8fe50c8ffe89cdad8a | MATLAB | 2,133 | 34 | % SON
%
% Files
% progressbar - WAITBAR Display wait bar.
% SONADCToDouble - scales a SON ADC channel to double precision floating point
% SONADCToSingle - scales a SON ADC channel to single precision floating point
% SONChanList - returns a structure with details... |
ae31ddf20c0d773a401043e8b0811e447da6e157cf32dc753b883371a0c190c4 | MATLAB | 2,133 | 89 | %
% Integer IDs of submethods; beginning at 1.
%
function [ids_submethod] = get_ids_submethod()
ids_submethod.rat = 1;
ids_submethod.main = 2;
ids_submethod.common = 3;
ids_submethod.adad = 4;
ids_submethod.ra = 5;
ids_submethod.jaccard = 6;
ids_submethod.cosine = 7;
ids_submethod.sorensen = 8;
ids_submethod.hpi = ... |
19fed7bf370f6b679e040511bfe5a5eeed31b2ca9ead064840838f8c88792982 | MATLAB | 2,134 | 46 | function[lineValues, lineSegments]= drawLine();
%% draw a line over the dendrite
valueCounter = 0;
segmentCounter = 0;
clear lineValues lineSegments
keepGoing = questdlg('Draw a line?', 'Potato', 'Yes ', 'Branch', 'Done', 'Redraw Last','Yes');
while keepGoing == 'Yes';
if valueCounter > 0;
valueCo... |
0b3e968e0c6b26541e22d0343089bd6685e6de5c66528fc9a7d9fd100102f125 | MATLAB | 2,135 | 49 | function addRow(DynamicTable, varargin)
% ADDROW Given a dynamic table and a set of keyword arguments for the row,
% add a single row to the dynamic table if using keywords, or multiple rows
% if using a table.
%
% ADDROW(DT,table) append the MATLAB table to the DynamicTable
%
% ADDROW(DT,col1,val1,col2,val2,...,coln... |
ae00d17188ed2f3d4c8e50b597460d1632f1e06e02af4efe49de4720f1c2f4fc | MATLAB | 2,135 | 51 | function [reluResponse, params] = applyReLU(prfResponse,params)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% RECTIFIED LINEAR UNIT (ReLU) %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% All spatiotemporal filters are subject to a rectified linear unit (reLU).
% This should only affect models with negative predicted neural responses, ... |
49f0b07d25153a208890a24e39d3568872d32dcffb3e19dcef2ef1562bb03510 | MATLAB | 2,136 | 78 | % sankey demo7
% -----------------------
% @author : slandarer
% 公众号 : slandarer随笔
% 知乎 : slandarer
figure('Name','sankey demo7','Units','normalized','Position',[.05,.2,.5,.56])
clc;clear;
links{7,3}='';
for i=1:7
links{i,1}=['浏览',num2str(i)];
links{i,2}=['浏览',num2str(i+1)];
links{i,3}=10000-1400*i;
e... |
73ad3c37086f4f07a0aa9208d7d92b835cdf49da734928c7cd377d9a3927a0ed | MATLAB | 2,136 | 48 | clear
file=dir('ACC*uncertain*.mat');
k=1;
for jj=1:length(file)
load(file(jj).name)
n=length(outcome);
n1=fix(n*0.33);n2=fix(n*0.67);
go{1}=[find(outcome(1:n1,1)==1);find(outcome(1:n1,1)==2);find(outcome(1:n1,1)==5)];
go{2}=[find(outcome(n1+1:n2,1)==1);find(outcome(n1+1:n2,1)==2);find(outco... |
b5b154ecc2bb6299502fdb4eb49c6d75a2f368d052e46700a098a8ae6a35a40d | MATLAB | 2,136 | 66 | function [f, BlkIdx] = Gabor_FeaExt(InImg, PalmNet, bestWavelets, param)
% =======INPUT=============
% InImg Input images (cell)
% V given PCA filter banks (cell)
% PCANet PCANet parameters (struct)
% .PCANet.NumStages
% the number of stages in PCANet; e.g., 2
% .PatchSize
% ... |
4de9a0d5281ce5db9e823893d0d5ac8283493244a76de797055e8d6a453ccef7 | MATLAB | 2,138 | 71 | function PlotEvent(data_raw,lower,higher,sampleRate,butterOrder,smoothPara)
%input datar1:3D event EEG data, data format:[sample points*channels* trials]
% labelr1:datar1 label
% lower:High pass filtering parameter settings
% higher:Low pass filtering parameter settings
% sampleRate:the sampling fr... |
b9c7b37fc5e2d4bbb89d790ad0b4598aae11fef91578b252545ae46f124511c5 | MATLAB | 2,138 | 62 | classdef DAQCamera < handle
properties (SetAccess = public)
cameraId = [];
numFrames = [];
maxFramesPerVideo = [];
numVideos = [];
estFps = [];
estFpsPercent = [];
videoWidth = [];
videoHeight = [];
videoFilenamePrefix = [];
... |
c7377059d16961e712a831a5c29966e6ef0666c189615fd5eb68e7439dc913a6 | MATLAB | 2,142 | 79 | %
% Compute precision of predictions.
%
% PARAMETERS
% $NETWORK
% $METHOD
%
% INPUT
% dat/prediction.$METHOD.$NETWORK.mat
% dat/split.$NETWORK.mat
% dat/meanst.$NETWORK.mat
%
% OUTPUT
% dat/precision.$METHOD.$NETWORK.mat
% precisions{submethod} Precisions by submethod; each entry is a 2-vector of the value and th... |
1ede44456499dfcb0d841e24ed03b07da2f3ebe9f4d71e384f323b3c5c4b0512 | MATLAB | 2,143 | 62 | function [hh,hx] = plothist(var1,Nbins,VarMargins,scale,Lowest)
%plot hist
% Detailed explanation goes here
if nargin<2, Nbins=20; end
if nargin<3, VarMargins = [0 0]; end % sets the margins to cut off from var before creating hist, in fractions of number of samples
if nargin<4, scale = 'lin'; end %'lin', 'log'... |
6b99d38d1386065b2cea50f4bd1230f280bf0983553f45ab8c88638890a54d24 | MATLAB | 2,143 | 62 | %{
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... |
593a3861f92ac2d3fbeb73457a5620a8733205d7d528f84d399f452d39ae7122 | MATLAB | 2,145 | 71 | % mglTestMetalStencil: an automated and/or interactive test for rendering.
%
% usage: mglTestMetalStencil(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test rendering some points.
% usage:
% ... |
5f7ac0e6610133ebdd5ab8811d77831d3344567b6d4ac06032a30f6d4713e996 | MATLAB | 2,145 | 69 | % renameFictracVid.m
%
% Function that renames all FicTrac video tiff files by generating and
% calling Powershell script.
% Assumes FicTrac video tiff files are named fictracVid_dateTime_#.tiff.
% Basically same function as renameLegVid(), except meant to run on Fictrac
% videos collected by camera connected to sep... |
f0d10f6ea7be6d040d4a32ab737147c8a33d3c133c329ce3932a6bf7aa1884f7 | MATLAB | 2,145 | 66 | %% corr the connectivity and behav data via gretna_prediction
roi_num = 48;
load('unrelated_sub_matrix_str_VBM.mat')
Mask_net = logical(tril(ones(roi_num),-1));
Predictors = zeros(size(sub_matrix,3),sum(Mask_net(:)));
for isub = 1:size(sub_matrix,3)
matrix_i = sub_matrix(:,:,isub);
Predictors(isub,:) = matrix_i... |
f6cd22fd3ba45e8fa17c5d9fd2efe4754b6c20ff97a12dc86a8c71291f242501 | MATLAB | 2,145 | 66 | %% corr the connectivity and behav data via gretna_prediction
roi_num = 48;
load('unrelated_sub_matrix_str_DBM.mat')
Mask_net = logical(tril(ones(roi_num),-1));
Predictors = zeros(size(sub_matrix,3),sum(Mask_net(:)));
for isub = 1:size(sub_matrix,3)
matrix_i = sub_matrix(:,:,isub);
Predictors(isub,:) = matrix_i... |
3047fea1be0aa3fa37cd13e4cb1e216bf0df9eedb8eb9c99718580807c593d91 | MATLAB | 2,146 | 62 | function [val] = filetype_check_extension(filename, ext)
% FILETYPE_CHECK_EXTENSION helper function to determine the file type
% by performing a case insensitive string comparison of the extension.
% Copyright (C) 2003-2012 Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldt... |
90784d669b0011ce19f1aaf8f3715ae0ab77c53ef1c97c3c0a4782c28996a118 | MATLAB | 2,146 | 37 | function subject_outliers_parse_BIDS(wb_command,motion_data_file,dtseries,output_dir,output_prefix)
% FD parsing Nipype wrapper pulling in list of motion files
% Modified to read DVAR_pre_reg, DVAR_post_reg, and DVAR_post_all and store
% values appropriately in the 51x51x3 cell array of structs
%
% All variables (skips... |
9cf3eba6f359a634eac090b696c2c6bbb92946c88d491445f48d65e88c960777 | MATLAB | 2,146 | 47 | % mglSocketCreateServer: Create a socket and bind an address.
%
% $Id$
% usage: socket = mglSocketCreateServer(address, [pollMilliseconds, maxConnections])
% by: justin gardner and ben heasly
% date: 12/26/2019
% copyright: (c) 2021 Justin Gardner (GPL see mgl/COPYING)
% purpose: Open a lo... |
3473e44991a1dc4a6ef2a4e2a7814ecc45d72f9409d72a44038ac9f56e28f497 | MATLAB | 2,147 | 72 | function [ACC,RT,RATE,ACCnbg,RTnbg,RATEnbg] = get_behavior()
dp = '../LOGFILES';
SUB = [1 2 3 4 5 6 7 8 9 10 11 12 13 14 15];
nsub = length(SUB);
nrun = 6;
singleplot = 1;
% Columns of logfile
% 1: RUN
% 2: TR of Sound start for this questions
% 3: TR of response
% 4: time (ms) of response
% 5: task (1-mal... |
b5fe8e048cc9bdd6bd1d8c86fe33dd97de4a080ebf8915d98e1d04e9a53f2f5d | MATLAB | 2,147 | 71 | function [tid, sid, data] = mapData2H5(fid, data, varargin)
%MAPDATA2H5 Convert MATLAB type specifier and data to HDF5 compatible data
% Given base file_id, type string and data value, returns HDF5 type id, space id,
% and properly converted data
forceArray = any(strcmp('forceArray', varargin));
forceChunked = any... |
8ddb1eda01f22c9ac643359da5fc822ddbf03008b1937e685f4e62b11d2e6c51 | MATLAB | 2,148 | 81 | % NIFTI Object
%
% create - Create a NIFTI-1 file
% disp - Disp a NIFTI-1 object
% display - Display a NIFTI-1 object
% fieldnames - Fieldnames of a NIFTI-1 object
% nifti - Create a NIFTI-1 object
% subsasgn - Subscript assignment
% subsref - Subscript referencing
%
% other opera... |
7ecc92919c600ffd9513b51ee6bd6d89535ff88fbc54aadfb8021f4c5e1f131c | MATLAB | 2,150 | 55 | % mglMetalRepeatingFlicker.m
%
% $Id$
% usage: [ackTime, drawTimes, frameTimes] = mglMetalRepeatingFlicker(nFrames, randomSeed)
% by: Benjamin heasly
% date: 06/14/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Send one command that causes multipl... |
a2dfaaeadcc8fbf92f50f013d1a049f978fc1ff4241a5febc672a3b50576f03d | MATLAB | 2,151 | 61 | %%
% name of the videos
list_Exp_ID = { 'c25_59_228','c27_12_326','c28_83_210',...
'c25_163_267','c27_114_176','c28_161_149',...
'c25_123_348','c27_122_121','c28_163_244'};
num_Exp = length(list_Exp_ID);
lam = 15;
d0 = 0.8;
%% Load traces and ROIs
dir_parent='E:\1photon-small\added_refi... |
08762175fd680e2c0c323d877ea57707c0fbafec799eb585ed070b346b1c32d7 | MATLAB | 2,152 | 98 | %
% Plot the outdegree vs the indegree of all nodes. Only for directed
% networks.
%
% PARAMETERS
% $network Network name
%
% INPUT
% dat/data.$network.mat
% dat/info.$network
%
% OUTPUT
% plot/outin.[a].$network.eps Plots
%
font_size = 22;
consts = konect_consts();
network = getenv('network');
info = read_... |
ca3cd001badb39fd4a797bf9151a1e158896078a2d6e5bf70d865682b6cbd1f8 | MATLAB | 2,152 | 57 | function mltp_plot_bfo_90_ac_per_cell(obj, session)
dataFolder = fullfile(session.getAnalysisDirectory(), obj.Config.best_fit_orientations.outputFolder);
% Load the data
matFilename = fullfile(dataFolder, 'bfo_90_per_cell.mat');
if ~isfile(matFilename)
error('The data file (%s) does not ex... |
4ca727bdb7e5187d14119b7a3794e65004af3acb153b9b2972f9d7d0f5d39042 | MATLAB | 2,153 | 61 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
% This makes Figure S14 (first run the other script). It was previously
% made in Excel and this version can be made in Matlab.
close all
clear all
clc
run('../load_figure_config.m')
% Load the Excel file that the previous code mad... |
a6a7aa97d2bd4a9035b0dd1def126512ca2587881528836f291a681c6158eddc | MATLAB | 2,155 | 75 | % fixStairtest.m
%
% $Id: testExperiment.m 247 2007-06-14 15:13:51Z justin $
% usage: fixStairTest(<difficulty>)
% by: justin gardner
% date: 09/08/26
% copyright: (c) 2009 Justin Gardner (GPL see mgl/COPYING)
% purpose: Shows the fixation staircase task alone. Difficulty of 0 is normal
% ... |
e8c197bdb940e5e4b8da8b0b667ff41aa81f0c78ccbab87a1eb5e127605cbd1e | MATLAB | 2,155 | 67 | function [hdr] = f_GetExtNCSHeader(filename)
% This is a modification of READ_NEURALYNX_NCS and neuralynx_getheader
% READ_NEURALYNX_NCS reads a single continuous channel file
%
% Use as
% [ncs] = read_neuralynx_ncs(filename)
% [ncs] = read_neuralynx_ncs(filename, begrecord, endrecord)
% Copyright (C) 2005-2007, ... |
0f0636ed42c09873dd4d35014d404a575064f34c1390ce4dff36ce3482ec5c49 | MATLAB | 2,157 | 94 | function [intensities,red_cellocs]= partialmask_intensities(threshold,cell_stat,red_wavelength_stack,final_redidx,max_proj,shift)
%% MKE VARIABLES
red_stat=cell_stat(final_redidx);
xshift=shift(1);
yshift=shift(2);
numred=length(red_stat);
red_cellocs=nan(512,512,numred);
%% GET FULL MASKS
for i = 1 : numred
... |
7653fa75121d1f4047cc1724ae84177c5c888e0137de6a3b1e3a826dc69a0ad2 | MATLAB | 2,157 | 94 | function [] = ExtDataFig06_AveImgBaseline()
% Code for plotting the baseline F images in Extended Data Fig. 6f,g.
%% parameters
GT = 'dPR1_nsyb'; % Extended Data Fig. 6f
% GT = 'TN1A_nsyb'; % Extended Data Fig. 6g
zVentral = [1:15];
zDorsal = [16:30];
Margin = 40;
d1DS = 512/2;
d2DS = 512/2;
d3 = 30;
Thre_Comb_DP ... |
9eda67a0b25034b974a2e6a116c24453ec79e4e39566438c25768f0300498ff4 | MATLAB | 2,157 | 50 | function [WPLI_1_150Hz, WPLI_5bans,comments]= Compute_WPLI(Selected_Signal,para,WPLI_Method)
%% Compute WPLI for given signal
% Input: Selected signal
% Input: para
% example:
% para.Fs = 500 or 1000;
% para.L = 1; % segment length (second)
% ... |
e839d6cd01a70ea4d45817684e7ecda2c79b1eca661a9e10bd1a5be08be5e800 | MATLAB | 2,157 | 39 | %% Initialize
SC = change_camera_ROI(SC,'BSI',SC.c0,SC.r0,OPT_S.n_cap);
SC = change_exposure(SC,'BSI',SC.BSI_settings.init_exp);
SC = laser_set(SC.laser_settings.laser_power,SC);
OPT_S.this_exp = SC.BSI_settings.init_exp;
OPT_S.rep_flag = 1;
OPT_S.total_reps = HAD_S.total_its;
%% First image
SC = laser_on(SC);
OPT_S.la... |
1ad11580c26ef3cd310057b56a75c12615bdaf5ab93504ad6b637b32c7e7f34b | MATLAB | 2,159 | 80 | %%Calculating the frequency spectra, total power, and luminosity of visual
%%stimuli
close all
clearvars
file_directory = 'C:\Users\dmitry.kobylkov\Documents\faces\face_stimuli\face_stimuli\FaceStimuli\';
files_struct = dir(fullfile(file_directory, '*.png'));
files_cell = struct2cell(files_struct);
% create ... |
5fbb471a2398f9e541a519a94c018a9e115fd4d25300ad59d731c077289c4a81 | MATLAB | 2,159 | 73 | % This example shows how to visualize the spatial multiplexing groups
% derived from characterizing a probe. The number of groups is dependent on
% many parameters, including the number of sources in a module, their
% layout within a module, the SDrange, and the tessellation and orientation
% of each module. Here, we p... |
23396e65e109efae046e13493ecd5b6a39c3b7725e525a65ebc7569a6062af61 | MATLAB | 2,160 | 54 | function atonia_index = get_atonia_index(EMG,Fs,stages)
%GET_ATONIA_INDEX This function calculates the atonia index for the
%sleep stages identified in the vector stages.
%---INPUT
%- EMG: the EMG signal (whole night)
%- Fs: the sampling frequency of the EMG signal (Hz)
%- stages: the hypnogram. Same size as EMG.... |
2f1791e5ee97cf64c138131bc956c435afb0bb282e4b7585e63a1e02e766710f | MATLAB | 2,161 | 62 | % This example creates a square module, tessellates it in a 2x2
% configuration, and performs all permutations of orientation of each
% module. It calculates number of channels, Brain Sensitivity, and nSMGs.
clear all
% Design Parameters (module, roi, SD sep range)
probe.module = createModule(4, 35); % nsides, mdime... |
d29b6170ce1b973d65abca61ded634b1dd1ebc8c6cf158fa39e1fa157486bc09 | MATLAB | 2,162 | 54 | % Gaussian derivative calculation in given direction and sigma.
% As inputs the following variables have to be transferred:
% data : 2-dimensional matrix with gray-scale image,
% can be obtained as
% data = im2double(rgb2gray(imread(image_file_name)));
% direction : direction of Gaussi... |
7ca172ad9012c9c792f53a623162abf695faed144955df3a1c26d217eb2bfc25 | MATLAB | 2,164 | 80 | function [trx, didsomething] = apply_convert_units(trx,pxpermm,fps, alreadyconverted)
% split from convert_units_f 9/10/11 JAB
pxpermminput = exist('pxpermm','var');
fpsinput = exist('fps','var');
if ~exist( 'alreadyconverted', 'var' )
alreadyconverted = false;
end
if ~pxpermminput
pxpermm = trx(1).pxpermm;
end
... |
123e43f5a644b9ebb9ff8614685c530382538256ebeb97265968bdb3eb7fb9f9 | MATLAB | 2,165 | 69 | % addIndAtSelX.m
%
% Function that takes in specific x-coordinate value and adds
% the corresponding index from the given indices vector
% Called by interactGetLegReversals(), meant to add selected point
% from max/min indices list
% Converts x-coordinate value to index by using input x-coords to index
% mapping vec... |
6b874f2316e277b639df2d6e211162a17c3af7dac200a7893a7645fb951a8dc0 | MATLAB | 2,166 | 47 | classdef ImageSegmentation < types.core.NWBDataInterface & types.untyped.GroupClass
% IMAGESEGMENTATION Stores pixels in an image that represent different regions of interest (ROIs) or masks. All segmentation for a given imaging plane is stored together, with storage for multiple imaging planes (masks) supported. Each ... |
e0a6cd884186a81477a5678bdd94100fabda2f67b2150e7dbaa536f3f2185f51 | MATLAB | 2,166 | 74 | function [bias_threshold, std_threshold, names] = create_plot_data(results,simulated_SNRs)
max_n = 200;
crit_val = 5; % threshold for difference to ground truth
inx_wm =[1:12];
inx_gm =[13:24];
inx_HA = 25;
inx_MA = 26;
Inx_La = 27;
bias_average = struct;
names = {'wm','gm','HA','MA','LA'};
for inx_names = 1:num... |
a9e5b54e07b53a0b9e490d5b0ed6cdf1eeaa586c9a9dc8d1ec0a4d61f54ad690 | MATLAB | 2,169 | 110 | %% Atlas Adjacency Matrix
for s = 1:10
scale = s*100;
disp(scale);
nroi = scale+14;
atlas_path = 'C:\Users\flame\Box\atlases\Schaefer100_to_1000\';
% atlas_name = sprintf('Schaefer2018_%dParcels_7Networks_order_FSLMNI152_2mm.nii.gz', scale);
atlas_name = sprintf('Schaefer2018_%dParcels_7Networks_order_FSLMNI152_1mm.... |
5e5dee9c99eef08042034e7ffde9df362f5a42a57be521d2314f99c76646ec8c | MATLAB | 2,170 | 76 | function P=normApprox(alpha,mu)
% normApprox Compute normal approximate null model
%
% Syntax
%__________________________________________________________________________
%
% P=normApprox(alpha,mu)
%
%
% Description
%__________________________________________________________________________
%
% P=normApprox(alpha,mu... |
20a28b2039f9caa107716fbfb205f3b329f2d6c29c091d3345e3d77e2614edbd | MATLAB | 2,173 | 58 | function mlgp_plot_bfo_general_sessions(obj, rotDeg, group)
numAngles = 360/rotDeg;
angles = (0:numAngles-1)*rotDeg;
% Load the data
fn = fullfile(obj.Experiment.getAnalysisParentDirectory(), sprintf('bfo_%d_%s_avg.mat', rotDeg, group));
if ~isfile(fn)
error("The file (%s) does not exis... |
fba15c95ce042b804ca06c6122f5d190bf536c86686ecaef265d563ae997a7a8 | MATLAB | 2,174 | 62 | function [] = GetConcentrationMaps(workingDir,T1map_precontrastFile,T1map_postcontrast1File,T1map_postcontrast2File,brainmaskFile,relaxivityconstant)
% input:
% - workingDir, directory in which we are currently working
% - T1map_precontrastFile
% - T1map_postcontrast1File, first postcontrast scan
% - T1map_postcontra... |
0e2407bad53f3a255ab6a2a0042fc6eeeb08861fc70a7a63a125d00024dd9b4c | MATLAB | 2,175 | 54 | function new_idx = neighbourhood_func(connection_indices, data_model)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 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."
% ... |
77e3b7923d5dcdc5d50ccb14d96d1efb6c1cdbc958b55b879adc758a507ffbdd | MATLAB | 2,175 | 53 |
% --- select subsection of the scan (optional)
figure;surface(flipud(abs(complx1{1})),'EdgeColor','none');
wo=round(ginput(2));wo=wo(:,1);
for ii=1:length(complx1)
complx2{ii}=complx1{ii}(:,min(wo):max(wo));
end
complx1=complx2;clear complx2
%% removes global motion from OCT BM-scans
file='xxx.mat'; %file name ... |
e9131c250fa19d9b5333b32e23010d0c969f7eea6b3832e41c2c58c9b84bc755 | MATLAB | 2,177 | 67 | function [EBC BC]=edge_betweenness_bin(G)
%EDGE_BETWEENNESS_BIN Edge betweenness centrality
%
% EBC = edge_betweenness_bin(A);
% [EBC BC] = edge_betweenness_bin(A);
%
% Edge betweenness centrality is the fraction of all shortest paths in
% the network that contain a given edge. Edges with high values of
% ... |
1555c2972b93df3ffb634ef14374dc0a436a7b50d8e09de7b72c0348b754ddfe | MATLAB | 2,178 | 66 | function Score = TR_RecordAnalyze(app, displayH)
% DistRadial = Eucledean distance from start to end
% PathLength = total path length
Group = app.Experiment.Groups(app.IDs.Group).Group;
Record = Group.Records(app.IDs.Record).Record;
Params = app.Experiment.Specs.Analysis.Parameters;
% check if data type is an N-by-2 ... |
5b44819474d5934e953457c36203995d0c846731e0b96348cd5a45b684ed59d0 | MATLAB | 2,178 | 52 | function [angle_changes, mean_angles] = centerlines_to_angles(centerlines)
%this function gets the angles with respect to the mean angle for each
%segment in the worm, vectorized so that multiple centerlines can be
%inputted at once. The output is in radians
[nPoints, ~, num_centerlines] = size(cen... |
6532db530c6d49034f34b29b1935ee9325ba96a2b8309a62e684d5d22bbdeeb5 | MATLAB | 2,178 | 55 | function out = dfa_positionvariance(index, excludeperiods, pos, trials, varargin)
% define defaults
appendindex = 1;
% process varargin if present and overwrite default values
if (~isempty(varargin))
assign(varargin{:});
end
d = index(1);
e = index(2);
if isempty(trials{d}) || isempty(trials{d}{e})
out = []... |
bcb72932af68fadca87f959f9522b0f540717d3b5135e1237d71f6eaf831c573 | MATLAB | 2,179 | 65 | function [p] = ml_cai_behavcam_roi_create( dataFolder, varargin )
p = inputParser;
p.CaseSensitive = false;
addRequired(p,'dataFolder', @isstr);
addParameter(p, 'outputFolder', dataFolder, @isstr);
addParameter(p, 'verbose', false, @islogical);
addParameter(p, 'backgroundFrameFilenameP... |
339bf458a1ee38cb91f86105214f6f5357672052f030c6cd11664076a6f5e85f | MATLAB | 2,182 | 91 | function [ax] = plotMdlDD(rpInfo,HLix,priColors,figprefs)
%plotMdlDD.m
dd = cellfun(@(x) x.chi2Stat(2),rpInfo.dt);
optLag = rpInfo.optLag;
isiLags = rpInfo.isiLags;
ddLags = isiLags(1:end-1);
tickdir = 'out';
dobox = 'off';
dogrid = false;
doarrow = optCheck(figprefs,'doarrow',false,[true false]);
doleg = optCheck(f... |
42dd270a5f61bc509e3ede4792f47183602635ce1095cffd90c1df8b6d74dbb3 | MATLAB | 2,182 | 59 | function [ red_wavelength_stack,summed_image] = load_reg_tif_wavelength_old(mouse,date,pock_start,pock_end,wavelengths)
% LOAD_REG_TIF_WAVELENGTH loads suite2p registered tifs saved inside
% '...mouse\date\W-series\suite2p\plane0\reg_tif\'
%all_image size is [npock*nwave, 512, 512]
%red_wavelength_stack is [npock, nwav... |
ebba2329f4b4125f6eb7d7d8c0f16aa908eae5d3e0c0e5157aaff619243ec6de | MATLAB | 2,183 | 83 | %
% Visualization of the spectral extrapolation method.
%
% PARAMETERS
% $NETWORK
% $DECOMPOSITION
%
% INPUT
% dat/decomposition_time.split.$DECOMPOSITION.$NETWORK.mat
% dat/steps.$NETWORK.mat
%
% OUTPUT
% plot/spectral_extrapolation.$DECOMPOSITION.$NETWORK.eps
%
marker_size = 10;
network = getenv('NETWORK');
... |
048f0cbe5d107a4085a5817592c20faca5c4d02a0cc594efed8ebd9746b4a051 | MATLAB | 2,185 | 46 | function [distance,pathfrom] = dendrite_dijkstra2(M,dims,root)
% function [distance,pathfrom2] = dendrite_dijkstra2(M,dims,root)
%
% Function to run Dijkstra's algorithm for growing out dendrites. Inputs to
% the function are
% - M - dims-size matrix that indicates blockages in the volume (i.e.
% ot... |
15f3411651dafe43b4d8842ca1c135a21ed4ba87f72b1400c1b0e09780d5b2c7 | MATLAB | 2,185 | 58 | function mltp_plot_bfo_general_sessions(obj, rotDeg, group)
numAngles = 360/rotDeg;
angles = (0:numAngles-1)*rotDeg;
% Load the data
fn = fullfile(obj.Experiment.getAnalysisParentDirectory(), sprintf('bfo_%d_%s_avg.mat', rotDeg, group));
if ~isfile(fn)
error("The file (%s) does not exis... |
479350971fdc56ab93886ffba570a5c286e93ec60c797e337a80bc78d23f83a0 | MATLAB | 2,185 | 53 | function [Pwire, Ewire] = wire_single_rung(L, a, b, N, M, type)
% This function creates the structured centered wire grid for a single
% straight rung with
% a - cross-section radius in m when option type='circle' is chosen for
% the rung cross-section
% a, b - rectangle sides in m when option type='rec... |
5301d45a72fe2600808f305d3ca59fc7e8231e0a0bb0b197ad51be8a019c7767 | MATLAB | 2,185 | 54 | function [f F]=motif4struct_bin(A)
%MOTIF4STRUCT_BIN Frequency of structural class-4 motifs
%
% [f F] = motif4struct_bin(A);
%
% Structural motifs are patterns of local connectivity. Motif frequency
% is the frequency of occurrence of motifs around a node.
%
% Input: A, binary directed connectio... |
87478d373b7c759b467146a8d5e94e7105767aed5e32cf71b57eace35bad4884 | MATLAB | 2,186 | 68 | function [] = PlotWatershed(embeddingValues)
%Plots the density map along with the watershed
plot_behavior_colors = true;
load('reference_embedding.mat')
if nargin > 0
maxVal = max(max(abs(embeddingValues)));
maxVal = round(maxVal * 1.1);
sigma = 4; %change smoothing factor if neces... |
ecb49ffae9c2661c8e995358a1c0b2dc9786c1d619170762955fa8326eb29bcd | MATLAB | 2,186 | 61 | %%
% name of the videos
list_Exp_ID={'Mouse_1K', 'Mouse_2K', 'Mouse_3K', 'Mouse_4K', ...
'Mouse_1M', 'Mouse_2M', 'Mouse_3M', 'Mouse_4M'};
num_Exp = length(list_Exp_ID);
lam = 15;
d0 = 0.8;
%% Load traces and ROIs
% dir_parent=fullfile('..','data','data_TENASPIS','original_masks');
dir_parent=fullfile('..'... |
2961e56528b1aac771aca09f6dee53882859a6cb757b333a172d032bfc0368ed | MATLAB | 2,187 | 52 | % THIS IS A ONE-OFF!!!
% close all
% clear all
% clc
% cfg = jsondecode(fileread(fullfile(pwd, 'pipeline_config.json')));
% pipe = MLCalciumImagingPipeline( cfg, ...
% pwd, '../../analysis/chengs_task_2c' );
mainDir = 'R:/chengs_task_2c/data/minimice/feature_rich/CMG087_CA1/recordings_sep';
%cfg = jsondecode(fil... |
b0cc9756909fb36fea7e90db1dd967e3072f9ef1a5421b7a2d15a0503fa9da67 | MATLAB | 2,188 | 66 | classdef RoiResponseSeries < types.core.TimeSeries & types.untyped.GroupClass
% ROIRESPONSESERIES ROI responses over an imaging plane. The first dimension represents time. The second dimension, if present, represents ROIs.
% REQUIRED PROPERTIES
properties
rois; % REQUIRED (DynamicTableRegion) DynamicTableRegion r... |
5d9011bf85c3b5dacef11c097fe6594269f12ed542d88cb4dbdb640db01ab3d3 | MATLAB | 2,189 | 67 | % preprocessUserDaq.m
%
% Function to take raw data output from user DAQ for any experiment type
% and convert it to a more useable form for later analyses
%
% Adapted from preprocessUserDaq.m from 2PAnalysisCode-Helen, but doesn't
% incorporate information about fly or interact with a metadata
% spreadsheet
%
% INP... |
06e8c26e8c52c537be7cf2defdd52df313c314e2e15d2efc7bc9c6b6b4c14887 | MATLAB | 2,190 | 83 | %% Anophles IR track launch
YourPath = 'YourPathtoAnophlesTrackCodeGoesHere'
addpath(YourPath) %add path to functions associated with Anophles track here
%% get directory of interest (add directory to video files here)
selpath = uigetdir;
cd(selpath)
dirContents = dir('**/*.*') ;
strIdx = (strfind({dirContents.name},... |
74a41bbc083f970281a935d006b082240517a510868caa97f9e8e70dcabb4546 | MATLAB | 2,191 | 59 | % findBoutsDurStim2Rmv.m
%
% Helper function for saveBallLegStepParamCond_bouts() that takes in start
% and end times of turning bouts as well as start and end times of
% stimulation bouts and returns the indices of turning bouts that overlap
% with the stimulation bouts. These turning bouts are to be removed from
%... |
b4a407c90bdde06bb74d7cb4574473ee6477af8262103a7f81ea3aeaada406f6 | MATLAB | 2,191 | 70 | % gaussSmooth.m
%
% Function to smooth data by bidirectional convolution with 3.5 sigma
% truncated gaussian kernal.
% Adaptation of Stephen's python function safe_interp_conv_smooth_ball_data
% in a2lib/proc_utils
%
% INPUTS:
% vec - vector to smooth
% padLen - length of padding, in samples
% kernLen - length ... |
b644690170bb9230c8275f80933ba02be904a8242d4c9cbf0b84e3a43a7d787d | MATLAB | 2,192 | 31 | clear
stable=load('stable.mat') ;uncertain=load('uncertain.mat') ;reverse=load('reverse.mat') ;restable=load('restable.mat') ;
for i=1:493
go1=[stable.population.goHit.eachDF{i} stable.population.goMiss.eachDF{i}];
go1=go1(46:90,:);Sgo{i}=(go1-mean(go1(1:15,:)))./std(go1(1:15,:));
GO(1,i)=mean(mean(Sgo... |
c52063f329f0ff2e5b8991fe4721a3ef94dcb4e3af397f7537a3057bf04be0d5 | MATLAB | 2,192 | 76 |
function cnn_loss_group_evaluate(work_info_batch, group_idx)
% prediction_info=work_info_batch.ref.prediction_info_groups{group_idx};
% obj_value=gather(prediction_info.output_infos{end}.x);
% obj_value=sum(obj_value(:));
% work_info_batch.ref.obj_value=obj_value;
cnn_forward_evaluate_ob... |
01b2f2328c513be895eecb359f494f37ae7a874f2859483e0bc528583684eddc | MATLAB | 2,193 | 61 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [R, success] = compute_rate_matrix_table(T, rateName, rateMatrixNumTrials)
R = [];
success = true;
wb = [];
% Get a table of unique sets of (animal name, session name, cell name)
records = get_sessio... |
4197a07fb7d8771e6c013e62ef74ccedc0c62c26d0f37ad27f46fa1258d986fd | MATLAB | 2,193 | 68 | function v_prime = rotate_n_dimensional_vector(v,a)
% ROTATE_N_DIMENSIONAL_VECTOR rotates an n-D vector by a given angle
% VPRIME = ROTATE_N_DIMENSIONAL_VECTOR(V,A) rotates the n-dimensional
% vector in V by the angle A (in radians)
% Returns: VPRIME, the rotated vector
%
% Notes:
% this approach rotates the vector i... |
85d3217e88c3cfd2bed0428151c6f709bab912b6b2a73dbced387898546c10c1 | MATLAB | 2,194 | 76 | function [isfore,dfore,xpred,ypred,thetapred,r0,r1,c0,c1,im] = fix_FixBgSub(flies,f,handles)
trx = handles.trx(flies);
nflies = length(flies);
boxrad = handles.maxjump;
% get predicted locations for all flies, to select tracking ROI
xpred = zeros(1,nflies);
ypred = zeros(1,nflies);
thetapred = zeros(1,nflies);
for j ... |
ff708ed83b3d43692bc3f8b388f5eecb3a979d4d960f341823ed4db55d864cc6 | MATLAB | 2,195 | 55 | function [params, s_new] = denoise_filter(params, s, state)
% Generic filter function. Can be used as DSS denoising function.
% [params, s_new] = denoise_filter(params, s, state)
% params Defines the used filter
% params.filter_conv Inpulse response for convolution filter
% params.filter_dct Mask ... |
a0b6b6cf99463847cf23040855f0766ac734324e8076ab34cc0d2a0f86eddbb1 | MATLAB | 2,196 | 58 | function [] = ExtDataFig05_SongTypePref_dPR1TN1A()
% Code for plotting the distribution of song-type preference for dPR1 and TN1A neurons in Extended Data Fig. 5b.
%% parameters
Thre_Trans = 6;
%% Song-type preference index (dPR1, TN1SG)
load(['../Data/Summary_dPR1/SongTypePrefIndex'])
Idx_SongType(nEvents_comb(1,:)<... |
1e47ddee491e805273f6e45686a112cf60be5c8e58730b77b4a024dda2bab340 | MATLAB | 2,198 | 53 | function [startTimes, endTimes] = extractSegmentTimesXx(folder)
%% setup
[~, file] = fileparts(folder);
chanlist = readSpikeFile(fullfile(folder,[file '.smr']),[]);
chanindsAll = [chanlist.number];
chaninds = find(arrayfun(@(x) any(strcmp(x.title,{'Keyboard'})),chanlist));
rawdata = importSpike(fullfile(folder,[file '.... |
b64d38bc4c988bc26c6f6eaf5aaa856d739ec1c4b687f21850a29b68f1f72adb | MATLAB | 2,198 | 93 | function [obj,residuals,Z] = gmixPlot(X,N,MaxIter,bins,plotOFF,plotSubGaussians,obj,xlimits,replicates)
%finds and plots (optional) a gaussian mixture model fit to a 1d data set
%
%Inputs:
%X = column vector of data
%N = number of clusters
%MaxIter = max iterations of GMM fit
%bins = number of bins to display
%plotsOFF... |
f28449168202f418d8dc98203d61dd51ca9cf7a823eaf1a9c1d7f4d2164df63e | MATLAB | 2,199 | 76 | function dims = get_data_dimension(path_to_file)
% get he dimension of a tiff file. now it only supports 2D
% Author: Pengcheng Zhou, Columbia University, 2017
%get image info
[~,~,ext] = fileparts(path_to_file);
if strcmpi(ext,'.tiff') || strcmpi(ext,'.tif');
info = imfinfo(path_to_file);
if isfield(... |
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