sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
fb16b3e6b725b125b20e703bb1482b6a30a076e2cfcf3d44ee4640bfacfe6709 | MATLAB | 3,567 | 98 | function [cfg, artifact] = ft_artifact_nan(cfg, data)
% FT_ARTIFACT_NAN identifies artifacts that are indicated in the data as nan (not a
% number) values.
%
% Use as
% [cfg, artifact] = ft_artifact_nan(cfg, data)
% where the input data is a structure as obtained from FT_REJECTARTIFACT with
% the option cfg.artfctde... |
feff319b1e1ac0031f15c6f105c0e7b7f674d488e4a55a4dc954f37bd8329e0d | MATLAB | 3,567 | 136 | %% Demo of L2 regualrization of a piecewise constant function (splines) with fixed knots
% Based on code by John D'Errico
% http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=8553&objectType=fileY
%%
% This file is from pmtk3.googlecode.com
function ridgeSplineDemoCV()
if 0
randn('state',0); ... |
d7e181ffd04ec893ea5ea9e44dbf2ad8642ac7ee86409de051d4e8e7b4854d52 | MATLAB | 3,568 | 92 | function s1_prepare_rest_input_lists(id_list,rs_data_dir,ABCD_table_dir,rs_proc_dir)
% s1_prepare_rest_input_lists(id_list,rs_data_dir,ABCD_table_dir,rs_proc_dir)
%
% This function prepares input lists required for the rest fMRI preprocess pipeline
%
% Inputs:
% - id_list
% A string. Path of a text file containin... |
05e550ad7b0bdc32945c1ed62584139910c88d779b3e10bd4add2aff8eead0c1 | MATLAB | 3,569 | 101 | %% Learn the structure of a small CRF using group L1 regularization
% We compare our resutls to 'example_UGMlearn' from
% http://www.cs.ubc.ca/~murphyk/Software/L1CRF/index.html
clear all
close all
display = 1; % Set to 0 if you don't want to draw the graphs
%% Parameters of Experiment
rand('state',0); randn('state',... |
4211322e857b662acd908ea50c933ce267476d3f89d3cd83fe719e76dd41b042 | MATLAB | 3,569 | 109 | function write_serial_event(filename, event)
% WRITE_SERIAL_EVENT
%
% changed A.Hadjipapas 2010
%
% write to phyiscal serial port
% serial port on windows or linux platform
% Copyright (C) 2007, Christian Hesse
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details... |
4dcd4708480025105e0dd4ec9915825dea253666aa15896a980770301a140566 | MATLAB | 3,569 | 125 | % function to calculate the non-affine displacements in a sheared 3d system
function [eps D2Vec] = Dmin_3D_opt(a0,a1)
%calculates local strain in an amorphous system.
% INPUT :
% a0 - (x,y,z) coordinates of
N = size(a0,1);
NNacceptance = 1.3; %first minimum of g(r)
NNsq = NNacceptance*NNacceptan... |
5491f99859b9e02613fac724ad7815036afbc9bc04a35a55bda8173c9b02b520 | MATLAB | 3,569 | 129 | % http://se.mathworks.com/help/vision/examples/digit-classification-using-hog-features.html
%%
% Load training and test data using |imageDatastore|.
syntheticDir = fullfile(toolboxdir('vision'), 'visiondata','digits','synthetic');
handwrittenDir = fullfile(toolboxdir('vision'), 'visiondata','digits','handwritten')... |
d4e4ef114344a9b56197a7980caddc9bc0534ee7633db08f06e2c4947b81d517 | MATLAB | 3,569 | 87 | function [X, Y_true] = simulate_cv_generatetc(datadir, hmmdir, outputdir, HMM_name, n_train, n_test, betwgroup_diff, Y_noise)
% [X, Y_true] = simulate_cv_generatetc(HMM_name, n_train, n_test, betwgroup_diff, Y_noise)
%
% simulate timecourses where the target variable is related to one HMM
% state's means, but with a gr... |
e8e30b1987a2ae27b814ac1e32400f6ecef32874ff5eb3e3d8153e97479c1e32 | MATLAB | 3,569 | 120 | function [ bestvec longestprobe endtotal ] = ...
wlProc_doAnneal(scalevec, errfunc, maxprobes, maxtotal)
% function [ bestvec longestprobe endtotal ] = ...
% wlProc_doAnneal(scalevec, errfunc, maxprobes, maxtotal)
%
% This function performs simulated annealing, searching for a perturbation
% vector about a known s... |
32dfb6a2efeeff1bfcedcc073d674ec67e7d918646dc93f709c67aea1423f8a1 | MATLAB | 3,570 | 104 | function xout = stdrcdf1(q, v, r, upper)
%STDRCDF Compute c.d.f. for Studentized Range statistic
% F = STDRCDF(Q,V,R) is the cumulative distribution function for the
% Studentized range statistic for R samples and V degrees of
% freedom, evaluated at Q.
%
% G = STDRCDF(Q,V,R,'upper') is the upper tail probabili... |
8302a2806ba47cf6932e7f89e40f4601ff8b894530ba0f200866976d5465ebfa | MATLAB | 3,570 | 131 | function obj = fit(X,k,varargin)
% Not intended to be called directly. Use FITGMDIST to fit a GMDISTRIBUTION.
%
% See also FITGMDIST.
% Copyright 2008-2013 The MathWorks, Inc.
% Copyright 2008-2014 The MathWorks, Inc.
if nargin < 2
error(message('stats:gmdistribution:TooFewInputs'));
end
checkdata(X);
if... |
bbb133195afda59285f35004c5b930209eb70c8d17803778e2de7cb3ce22f598 | MATLAB | 3,570 | 147 | %% Demo of Simulated Annealing
% for finding the most probable point of a peaky 2D surface
%PMTKneedsStatsToolbox hist3
%%
% This file is from pmtk3.googlecode.com
function saDemoPeaks()
requireStatsToolbox
findMAX = true;
[XX, YY]=meshgrid(1:49,1:49);
Z = peaks; % 49x49 surface surface
m = min(Z(:));
Zpos = Z+abs... |
01c147acd0e2ba6e1193688850df0b3e11642b846e22306d4d049debd784d834 | MATLAB | 3,571 | 66 | function ks_traj = create_ks_trajectory(seq,adc,params)
[ktraj_adc, t_adc, ktraj, t_ktraj, t_excitation, t_refocusing, slicepos, t_slicepos] = seq.calculateKspacePP();
j = 1;
if params.gen.ro_type == 's'
plane_samples = adc.numSamples;
elseif params.gen.ro_type == 'c'
plane_samples = ad... |
655a004d071774150dca4b94e568d01f6b9a8d729c010c51e63a25cebd89867f | MATLAB | 3,571 | 139 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
0ceb87c087fba63a9c49cf95c42c196d9ea320d5b0801068b2e4aea2224b6550 | MATLAB | 3,572 | 129 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
87569272195df4f1b9f186619e3a975addaa009a9d07671771ef82f51c411381 | MATLAB | 3,572 | 83 | function [rddiff,cilohi,p] = rddiffci(r13,r23,r12,n,alpha)
% function [rddiff,cilohi,p] = rddiffci(r13,r23,r12,n,alpha)
%
% computes a confidence interval (CI) for the difference of two DEPENDENT Pearson
% correlation coefficients and tests whether they are significantly different
%
% In this case, we compare two corre... |
f6182dd70e38d75c2fcbf454aec66df62f29453f8ea885fbc59074e5d9361cdd | MATLAB | 3,573 | 106 | function [freq] = ft_freqinterpolate(cfg, freq)
% FT_FREQINTERPOLATE interpolates frequencies by looking at neighbouring
% values or simply replaces a piece in the spectrum by NaN.
%
% Use as
% freq = ft_freqinterpolate(cfg, freq)
% where freq is the output of FT_FREQANALYSIS or FT_FREQDESCRIPTIVES and the
% configu... |
e389189502fdf735d01278f23856f715f9a1f168e8b53519602b4b60338fc809 | MATLAB | 3,575 | 97 | function [tfr,t,f] = tfrparam(x,t,N,p,L,trace,Rxtype,method,q);
% [tfr,t,f]=tfrparam(x,t,N,p,L,trace,Rxtype,method,q) parametric time-frequency
% representation.
%
% X : signal
% T : time instant(s) (default : 1:length(X)).
% N : number of frequency bins (default : max(256,length(X)) ).
% p ... |
8421d887fdc1374cf0e16b9e0faa71ffac32b06e2dbbd01a4c0e92d9cf09bb19 | MATLAB | 3,576 | 73 | function CBIG_ASDf_FC2doc_infFactorComp_wrapper(corrMat_ASD_path, corrMat_con_path, ref_path, sub_info_file, output_dir)
% CBIG_ASDf_FC2doc_infFactorComp_wrapper(corrMat_ASD_path, corrMat_con_path, ref_path, sub_info_file, output_dir)
%
% Wrapper function to compute Z-normalized, discretized FC (Z-normalization
% w.r.t... |
40f25dc627ec60d112414b8dbff1e750c364265b58e4e283bdb91c40a7bb9a48 | MATLAB | 3,577 | 110 | % Taken from: http://www.mathworks.com/matlabcentral/fileexchange/4917-skeleton-in-3d/content/fspecial3.m
% Written by user G Sken at MATLAB Central, in 2004 (updated 2007)
% This is used instead of the 3d filtering in proprietary MATLAB packages
function h = fspecial3(type,siz)
%FSPECIAL3 Create predefined 3-D filter... |
472af08c74db01da93e8284488300583c5ed0509455fd6051bbadb5d12ddf8d8 | MATLAB | 3,581 | 110 | function Z = palm_gtoz(G,df1,df2)
% Convert a G-statistic (or any of its particular cases)
% to a z-statistic (normally distributed).
%
% Usage:
% Z = palm_gtoz(G,df1,df2)
%
% Inputs:
% G : G statistic.
% df1, df2 : Degrees of freedom (non-infinite).
%
% Outputs:
% Z : Z-score
%
% If df2 = NaN and df1 = ... |
15e36c3d29af7f63b966e111b00a2d71358930172f62da7f74cbd041b21fa166 | MATLAB | 3,582 | 94 | % Applies the homography defined by H on the image I.
%
% Takes the center of the image as the origin, not the top left corner.
% Also, the coordinate system is row/ column format, so H must be also.
%
% The bounding box of the image is set by the BBOX argument, a string that
% can be 'loose' (default) or 'crop'. When ... |
9d2b82110f3e255b2ae92a50e72d7bc79e1464ef81e002c15993e77e41e35b03 | MATLAB | 3,582 | 105 | function mix = gmminit1(mix, x, options)
%GMMINIT Initialises Gaussian mixture model from data
%
% Description
% MIX = GMMINIT(MIX, X, OPTIONS) uses a dataset X to initialise the
% parameters of a Gaussian mixture model defined by the data structure
% MIX. The k-means algorithm is used to determine the centres. The
% ... |
86f8aecdf65f20ba378b21143c973996a0bd9631864b82916f8b450a00434458 | MATLAB | 3,584 | 93 | function [Obj] = SOFAsave(filename,Obj,varargin)
%SOFASAVE
% [] = SOFAsave(filename,Obj,Compression) creates a new SOFA file and
% writes an entire data set to it.
%
% filename specifies the name of the SOFA file to which the data is written.
% Obj is a struct containing the data and meta
% data to be writte... |
5780410ae154419052e37cf8a618d9bd3e3fb4cb1061e04d8a10c8bdcf30655d | MATLAB | 3,585 | 128 | % Re-select te corners after calibration
if ~exist('n_ima')|~exist('fc'),
fprintf(1,'No calibration data available.\n');
return;
end;
check_active_images;
flag = 0;
for kk = ind_active,
if ~exist(['y_' num2str(kk)]),
flag = 1;
else
eval(['ykk = y_' num2str(kk) ';']);
if isnan(ykk(1,1)),
... |
929f6001856217085ab048906dd400c30dcb619db2eeaadd0f3bdb1a11cff127 | MATLAB | 3,585 | 126 | function draw_figure3FG(p,decRes)
%
% - This code is written for performing emotion identification analysis
% based on region-wise decoding accuracy
%
%
% called from emotion2020_analysis_BATCH
%
%% settings
% score index
dimIdx = 1:14;
catIdx = 15:48;
emoIdx = 1:48;
colcat = [216,31,73]/255;
coldim = [250,120,210]... |
335a3c520ab42fc515b2a4d948c2b2662d1b08ee368cdc9e7748ced82c5a7e70 | MATLAB | 3,586 | 96 | function [SphereData, Header] = y_Sphere(Center, Radius, RefFile, OutFile, Unit)
%function [SphereData, Header] = y_Sphere(Center, Radius, RefFile, OutFile, Unit)
% Create a Sphere ROI
% ------------------------------------------------------------------------
% Input:
% Center - the coordinates of the center of a shper... |
508a3204b5bad43cb3d59e249e3d5975e231cd83cfa2dc0e3d79d10a57fe883c | MATLAB | 3,586 | 85 | function [DF_norm, DF_MAD] = FP_DEBLEACHED(DeltaFlour,Window,Fs, ITERATIONS)
%% By David Estrin & David Barker for the Barker Laboratory
% Code is written for ____ et al., 2020
% The purpose of this code is to take a calcium trace from fiber
% photometry and detrend/debleach the trace.
%% The following are Input... |
b76ad7bed9ad378b2968ca1e82340bacf1102ae333f1558c30256ccd7526055a | MATLAB | 3,586 | 59 | function X0 = getStartingState_ToRORd(varargin)
if (~isempty(varargin))
if (strcmp(varargin{1}, 'm_endo'))
X0 = [-88.6369922306458,11.8973412949238,11.8976610470850,...
141.234464714982,141.234423402713,7.26747296460659e-05,...
6.33786975780735e-05,1.53265306371970,... |
bcfb1607f83f4f0ed8d418630d1a82aba829963f008ab21fe1104729a49bab7b | MATLAB | 3,586 | 1 | function [ SUCCESS , ExperimentID, SubjectID, Phase, Box, MatlabStartDate, Duration, TSdata, Notes, Weight, Program, FileReportedUnits ] = TSloadstdtab ( filename )
%
% Assumptions:
% File is tab delimited
% Dlm file forms a 2 column matrix
% First 12 rows are various session fields with indicator numbers on the ... |
5a0dfbdde66b9de13fe868ac451dfa264be8cfd045a96f06cfc9572cd2c39e83 | MATLAB | 3,588 | 99 | function [cfg, artifact] = ft_artifact_nan(cfg, data)
% FT_ARTIFACT_NAN identifies artifacts that are indicated in the data as nan (not a
% number) values.
%
% Use as
% [cfg, artifact] = ft_artifact_nan(cfg, data)
% where the input data is a structure as obtained from FT_REJECTARTIFACT with
% the option cfg.artfctde... |
6f0f92ebb805bf6801073fc80c2ca534eed2a18d5b8cac152a557380aa944ed6 | MATLAB | 3,588 | 92 | function all_mapper_opts = parse_mappers(mapper_opts)
all_mapper_opts = {};
for i=1:size(mapper_opts)
mopts = mapper_opts(i);
if ~isa(mopts, 'struct')
mopts = cell2mat(mopts);
end
switch mopts.type
case {'BDLMapper', 'NeuMapper'}
for ki = 1:length(mopts.k)
for... |
eecfef3dde9f2879b44af4a32e932fea055dc7838ea79cea16d1712ab65bcab7 | MATLAB | 3,588 | 123 | function stamp=find_adaptive_event(data,th,id_type,th_type,reject)
% this function find points bigger than pre defined threshold
% id_type 1: find the first crossing point.
% 2: if a succesive serie of timestamps are found, get the peak.
% 3: if a succesive serie of timestamps are found, get the
... |
27257657c78a9fd4dd6a77b5e32b7b6d026c8e8a67309073bbf2346f67e6caf1 | MATLAB | 3,589 | 137 | function [im,header,timestamp,bb,mu] = ufmf_read_frame(header,framei,interruptible)
if nargin < 3,
interruptible = false;
end
FRAME_CHUNK = 1;
fp = header.fid;
% read from the current location if no frame input
if nargin < 2,
loc = ftell(fp);
framei = find(header.frame2file==loc,1);
if isempty(framei),
... |
a47c00933bb6bb7ffb3d353559a9de61e74ebf2f8a1e9e4954a7f00c6bcd6ee8 | MATLAB | 3,589 | 93 | function readlogOutput = importlog(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% ARDUINOOUTPUT20190611130423 = IMPORTFILE(FILENAME) Reads data from text
% file FILENAME for the default selection.
%
% ARDUINOOUTPUT20190611130423 = IMPORTFILE(FILENAME, STARTROW, ENDROW)... |
b10a8dceed63da6775cc81a56294cbc744583fe28c9e95efb81747577129ea41 | MATLAB | 3,592 | 82 | classdef Ust<handle
% AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 cla... |
614c2e0fc80be322fb5cdb4e683d21ec2250f19cbeff5aa636fe58caf4df612b | MATLAB | 3,593 | 105 | function CBIG_VonmisesSeriesClusteringMultioptions(mesh_name, mask, num_clusters, output_file, profile1, profile2, num_smooth, num_tries, normalize, max_iter)
% CBIG_VonmisesSeriesClusteringMultioptions(mesh_name, mask, num_clusters, output_file, profile1, profile2, num_smooth, num_tries, normalize, max_iter)
%
% Von ... |
fb3988ec39e1e080f09efb5144c534ead66c80ad56238bcfaa0ddd94d0d75daf | MATLAB | 3,594 | 61 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
608cbf806e6307e3b66b67304ad8177f4721b0ba6319639b5049c54a70d9c6db | MATLAB | 3,595 | 96 | function tiemask = generate_tiemask_ed(x, dim, dly, differences)
% GENERATE_TIEMASK_ED(X, DIM, DLY, DIFFERENCES) returns a matrix that masks difference
% patterns that contain ties.
%
% The function returns a matrix of the size of the matrix of columnwise
% encoded difference patterns (dimension DIM, time lag DLY) fo... |
c4f7b5c68798bd16c9b1050a552d0a8e21f8f708880d5d1a018487401fa5e8c7 | MATLAB | 3,598 | 97 | % Source-target evaluations on the unit square, Laplace kernel.
%
% This example computes the interactions between random source and target points
% on the unit square via the Laplace kernel. The associated matrix is
% rectangular and real.
%
% This demo does the following in order:
%
% - compress the matrix
% - ch... |
d99bfe70557eec10f4bb60b3b1c1e5ad33a0b8a8ee290293f5c35749b7b857c5 | MATLAB | 3,598 | 115 | % meg_plotUpDown
% June 29, 2020
% load group channels
% load('groupC_TANoise_20Hz.mat')
nChOI = 5;
saveFigs = 1;
fieldNames = {'cueT1','cueT2'};
p = meg_params('TANoise_Analysis');
t = p.tstart:p.tstop;
[sessionNames,subjectNames,ITPCsubject,ITPCsession] = meg_sessions('TANoise');
%% high pass filter
% hi... |
0273eaab8cbc737d9fcd950c84ae1c3ae84a32579e373aec565c2157fc3922d2 | MATLAB | 3,599 | 103 | function [connectivity] = channelconnectivity(cfg, data)
% CHANNELCONNECTIVIY creates a NxN matrix that describes whether channels
% are connected as neighbours
%
% See also FT_PREPARE_NEIGHBOURS
if (isfield(cfg, 'avgoverchan') && strcmp(cfg.avgoverchan, 'yes')) || isempty(cfg.neighbours)
if nargin < 2
nchan = ... |
027c01711a27685c6a79d8a8a73b86ee8a8dc29da5817a1e587a8321ecab9e90 | MATLAB | 3,599 | 105 | function xout = y_stdrcdf(q, v, r, upper)
%STDRCDF Compute c.d.f. for Studentized Range statistic
% F = STDRCDF(Q,V,R) is the cumulative distribution function for the
% Studentized range statistic for R samples and V degrees of
% freedom, evaluated at Q.
%
% G = STDRCDF(Q,V,R,'upper') is the upper tail probabil... |
7349963a8bd2a6bed551e92695618099c5a77f348470f4afbfc4ec77211f0231 | MATLAB | 3,600 | 97 | % Source-target evaluations on the unit circle, Laplace kernel.
%
% This example computes the interactions between random source and target points
% on the unit circle via the Laplace kernel. The associated matrix is
% rectangular and real.
%
% This demo does the following in order:
%
% - compress the matrix
% - ch... |
0015b87beff05960fbff6a78356709a3ded0e785dc39c43673587697abac93ae | MATLAB | 3,601 | 118 | function meg_Fig4c_ITPCbyITI_TS
% function meg_Fig4c_ITPCbyITI_TS
%% Load data
load('figData/ITPC_byITI.mat')
%% Figure settings
titleVis = 0; % if title vis off, then will plot for appropriate manuscript size
showN = 0; % show n = X annotation
figFormat = 'svg'; % svg
annotateMean = 0;
annotateStats = 1;
saveF... |
304574989e7cc1685ac26abd4af6b69e5a84b7a83d7bb186fda1b0bf35c99e29 | MATLAB | 3,601 | 117 | function [wakeTimes swsTimes] = WakeTimes(sleepLog, unit)
% define time intervals (in seconds) between "disenaged wakefulness" and major events
postSni = 10;
preCni = 5;
postUs = 10;
preCs = 0;
postHvs = 10;
preHvs = 10;
postSws = 10;
preSws = 10;
minWake = 30;
% unpack behavior data
taskList = unit.taskList;
tmpLis... |
9935b521b87ebda2ee5f76131cbd9dfaff416bd4fb827a8dec805383862e2281 | MATLAB | 3,601 | 106 | % Birgit Nierula
% nierula@cbs.mpg.de
%% SRMR2: Import data from BIDS folder
% This script
% 1) imports all stimulation stimulation blocks from the bids folder
% 2) removes the stimulus artifact iv: -1.5 to 1.5 ms
% 3) downsamples the signal to 5000 Hz
% 4) exclude all channels and saves only ECG channel
%% Prep
s... |
a2de4a8fbfd39e5f9166309737826cdce7595ffe596c6675fb90e73c1ef26ce2 | MATLAB | 3,601 | 112 | function [model, loglikHist] = mixGaussFitOverrelaxedEM(data, nmix, overRelaxFactor, varargin)
%% Fit a mixture of Gaussian using over-relaxed EM
%
% By default we lightly regularize the parameters, so we are doing map
% estimation. To turn this off, set 'prior' and 'mixPrior to 'none'. See
% Inputs below.
%
%% Inputs... |
145aa5edfc0b9b13fa71049f48b3be6a87053fd789e5c86c38e74d5a7bd03f0a | MATLAB | 3,602 | 107 | function output = antsFlip(dimension, files, axis, always_new_reflection, reused_reflection_mat )
%% This file uses ANTs to filp an image and adjust the corresponding header
% dimension = the image dimension (2 or 3)
% input = the input file (should be N4 corrected if using to create a symmetric template)
% output_pat... |
910a39e3a5fdf7f7386c5c9a664aaa9e54dcc3bc48520d73f244002649fff190 | MATLAB | 3,604 | 185 | function cls = correction_3D(carta,elec_adj)
% busca cluster en cartas de valor p 0 y 1
% carta = [frec x tiempo x electrodo
%
%
% 3.Septiebre.2009
% P.Billeke
%
warning('Limite rango de frecuencias a analizar para no caer en insufuciencia de memoria');
[yc,xc,zc] = size(carta);
if xc == 32%min([yc,xc,zc])
for x ... |
0dfc713b28ff24960afe760ab5131edaebcc9b4ec4275bc76c41096e21c8b010 | MATLAB | 3,605 | 94 | %% Simple/traditional Kalman filter
function state = SimpleKF(u, z, params)
% This is an implementation of a Kalman filter model for 1-dimensional
% state estimate with m-dimensional control input across n time steps.
% Prior state estimation (xhat_) is computed based on control input u and
% the generative model p... |
eea4204e70050a48b616ab78def2aeb4ff1665405f480ab833632c87951ba8b1 | MATLAB | 3,605 | 158 | function wlPlot_plotEventsAgainstTrialDebug(cfg, evlist, samprate, ...
wavelist, figtitle, filelabel)
% function wlPlot_plotEventsAgainstTrialDebug(cfg, evlist, samprate, ...
% wavelist, figtitle, filelabel)
%
% This function plots a series of events, showing the reconstructed signal's
% waveform against the band-... |
3d8012b7da57ad6ee11e34cdbf96925ebd93e5b8f8932f406f472e5898a0c0b0 | MATLAB | 3,606 | 56 | function [results,prams]=CBIG_gwMRF_build_data_and_perform_clustering(input_fullpaths,output_path,start_idx,end_idx,num_left_cluster,num_right_cluster,smoothcost,num_iterations,num_runs,start_gamma,exponential)
% This function reads in the data, computes the multiplication matrix and performs the clustering
% ... |
c6474846db21dc699cd0110be35c806d9d5b7746fcbf8aac8c4f3678418ce4d9 | MATLAB | 3,606 | 95 |
function HillOutput = Hill(x,y,noParam,maximum,slope,halfActiv,intercept);
% Fits data (x and y) using a Hill function. The Hill function is
% either a 3- or 4-parameter Hill function. The 3-parameter Hill
% function is of the form:
% (maximum*xData^slope) / (halfActiv^slope + xDa... |
1c349610e12e48a2e2238036f4c224b9ecf602fddd44ff010daaa11725fc9294 | MATLAB | 3,607 | 138 | %% PCA Image Demo
% Based on code by Mark Girolami, but uses eig instead of svd to save memory
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
if 0
loadData('mnistAll'); % mnist structure
%train_images: [28x28x60000 uint8] 0 to 255
% test_images: [28x28x10000 uint8]
% train_labels: [60000x1 uint8... |
82e09c590c63e48d387f154d1fc65c2f0a8fb660b9a863899e33ae992167a9ea | MATLAB | 3,607 | 115 | function [D,P] = dijkstra(A,s,t)
%DIJK Shortest paths from nodes 's' to nodes 't' using Dijkstra algorithm.
% [D,p] = dijk(A,s,t)
% A = n x n node-node weighted adjacency matrix of arc lengths
% (Note: A(i,j) = 0 => Arc (i,j) does not exist;
% A(i,j) = NaN => Arc (i,j) exists with 0 weight)... |
ca52295f56e829c6d442c58d52bc622a8e21e360b74406d5cc6a32e66199a6bb | MATLAB | 3,607 | 127 | %% Variational bayes for univariate Gaussian
%
%%
% This file is from pmtk3.googlecode.com
function unigaussVbDemo()
% PMTKauthor Robert Tseng
% PMTKmodified Kevin Murphy
%% Make data with mean 0 and unit variance
setSeed(0);
N = 10; D = 1;
data = rand(N, D);
data = standardizeCols(data);
m = mean(data);
s = sum(dat... |
5fce1cb505d1b199e78591dce64139368b8cc89b746de810ca99d6a007656614 | MATLAB | 3,608 | 119 | function [clustLabel, varType] = dbscan(x, MinPts, Eps) %#codegen
% DBSCAN computes the clustering for a dataset using the dbscan algorithm
%
% Input:
% x - data matrix (rows observations, columns variables)
% MinPts - minimum number of neighbors to define a core point
% Eps - range of the neighborhoo... |
75bdb625c887c5be711400ba6e3956c4f69b7022bf5af183adca10eb2870ede2 | MATLAB | 3,608 | 126 | function output = memtic(action, counter)
% MEMTIC start a MATLAB memory recorder
%
% MEMTIC and MEMTOC functions work together to measure memory usage.
% MEMTIC, by itself, saves the current memory footprint that MEMTOC
% uses later to measure the memory that was used between the two.
%
% Use as
% MEMTIC
% ... |
b2aaf21ef557c1b0f629c81e2b580519ba8c7c70b6138cf4c189e4cf53bbdba5 | MATLAB | 3,608 | 108 | classdef LabelerGT
% GT-related utils for Labeler. Labeler.m is getting very large; nav is
% getting difficulty, GH blame breaks etc. This 'friend class' has only
% access to public props atm but in future could theoretically use access
% specifiers etc.
methods (Static)
function generateSuggestio... |
e40fa4bdf2dddcace112e407a9066e9836560ee2f7d0fe094c85f6f21ee05c11 | MATLAB | 3,608 | 86 | function [] = plotTime2PeakComparisons(pkLocOn_all,fNum)
lims = []; % y limits to set (example: [0 1])
isPaired = 'N'; % equivalent to paired t-test
circleSize = 60; % size of scatter plot points
barstate = 'off'; % 'On' = bar graph, 'Off' = scatt... |
540e74c982b7edf369f697382e224b1f34b1154fcd50da90dbb85bf911d07e46 | MATLAB | 3,609 | 135 | function Fear_TrialFR(basename,tet2use,unit,session)
SR=20000;
SR_trk=50;
resofs=load([basename '.resofs']);
sessionfile = [basename(1:9) '_' num2str(session,'%02.f') '_trkRun.mat'];
load(sessionfile,'trk');
whl = trk;
res=load([basename '.res.', num2str(tet2use)]); %spike times of all the units in the s... |
7ce04b55c10dc53ec3322e543fa315e8108b4cb1ae942bfb56fc64d7e2387510 | MATLAB | 3,609 | 133 | function draw_figure4BC_S2B(p,encRes)
%
% This code is for drawing figure 4BC and S2B
%
%
%% settings
drawPairs = {...
{'category','dimension'}
{'category','vision'}
{'category','semantic'}
};
drawNames = {...
{'cat','dim'}
{'cat','vis'}
{'cat','sem'}
};
nSbj = length(p.sbjID);
%% dra... |
833b1d2283aba7e61028744f373494a85c4f471b2272ae16875b166cc7aa6efc | MATLAB | 3,609 | 116 | %% Fit the local CPDs of a lattice mrf given a noisy image and its underlying
% discrete labels
%%
% The model has the following form
% y1<- h1 - h2 -> y2
% | |
% y3 <- h3 - h4 -> y4
%%
% where there are undirected edges between the hidden labels,
% arranged in a 2d grid, and each hidden node has a dir... |
991c232ea8ed6cbd0dd31214ad256d55b487911ab43e2fc166d717764d48e5bb | MATLAB | 3,609 | 80 | % Motion correction according to DeltaX, DeltaY of individual boutons.
% BoutonArray(BoutonNumber).DeltaX, .DeltaY contain the deltas for some of
% the images. The indices of these images are in DeltaXY_ImageNumbers
% (and should be also in BoutonArray(1).DeltaXY_ImageNumbers).
% ImageArray_NoStim contains more ima... |
231c8eee6e06adf8c2692bd4a6f0eedfc66162302cce096181c822bd8966fba7 | MATLAB | 3,611 | 109 | %%%% TrihexyTrioAllAnalysis
% This contains details on how to replicate the analysis from the paper:
% Grogan et al., 2021. Muscarinic receptors mediate motivation via
% preparatory neural activity in humans.
% Anonymous data are available here (https://osf.io/zuq5c/)
% The paths in the scripts given here will need ... |
0cdeae03e12597b96a5beae03d39e50392e08358b2d04bc073b57f3a6f9003a0 | MATLAB | 3,612 | 126 | function meg_runPreproc(sessionDir)
% meg_runMEGPreproc.m
%% setup
% exptDir = '/Volumes/DRIVE1/DATA/rachel/MEG/TADetectDiscrim/MEG';
% exptDir = '/Local/Users/denison/Data/TANoise/MEG';
% exptDir = '/Local/Users/denison/Data/TA2/MEG';
% exptDir = pathToTA2('MEG');
% exptDir = '/Users/kantian/Dropbox/Data/TA2/MEG';
% ... |
fe10391ac67a172ee73f5b033b480a9798e25f2a82893f1f5df6019520dc3c71 | MATLAB | 3,613 | 106 | function [ structout ] = bz_CollapseStruct( structin,dim,combine,NEST )
%structout = CollapseStruct( structin,dim,combine,NEST ) Combines elements in a
%structure array
%
%INPUT
% structin struct(N).fields structure array with N elements where each
% of the N elements has the same fields and field st... |
326930a44d06cbac8334ffe7e455fccc9db4d94b2596af5b1064753513327c3d | MATLAB | 3,616 | 114 | classdef StringList < handle
%
%
%
%<PRE>
% This file is part of dspace-core.
%
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as pub... |
7f5920dc919a24e85a7a36c01da9da374dfa8004ad68e53d16cc198c7aa73273 | MATLAB | 3,617 | 111 | %% pxTools_getMarkovFromXt()
%
% Estimate first-order Markov transition matrix between subsequent
% observations of discrete state, captured as column vectors.
%
% If multiple independent observations (columns) are used, find average
% transition matrix over all points.
%
% Because script is designed for SDO... |
517ba271d2b54421e31b2d0b51dcf1727f6327f78d4f31fc8ea51be6ed48d306 | MATLAB | 3,619 | 119 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% wrapper_full_calibration.m -- A wrapper for the calibration runtime. %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function []=wrapper_single_dipole(pat_ix, model, inverse_model, dipole_name)
pat_cell ... |
42b4b9a85b8f03d31c1eb916229d60fe3d5e9319e88aca1aadb466b5a92a6221 | MATLAB | 3,621 | 66 | % IntFG_tet4_CPU carries out a spatial convolutions of fields within a FEM
% mesh. This function runs on parallel on the CPU threads and is
% parallelized over the data pairs undergoing the convolution.
%
% SYNTAX:
% [J_BORN] = IntFG_tet4_CPU(MESH,DATA_1,DATA_2)
% [J_BORN] = IntFG_tet4_CPU(MESH,DATA_1,DATA_2,SOUR... |
2d9d2d5ff9f5d972e0b0da0d8fcefc968b945c8d2435b8aed85c7da0ea311ae9 | MATLAB | 3,622 | 99 | % Source-target evaluations on the unit cube, Laplace kernel.
%
% This example computes the interactions between random source and target points
% on the unit cube via the Laplace kernel. The associated matrix is rectangular
% and real.
%
% This demo does the following in order:
%
% - compress the matrix
% - check ... |
4540a0a4d231f63c53f45063c5fc9d6551ee1f01359469e00d217b47b1095e59 | MATLAB | 3,624 | 81 | function y_Call_bet(InputFilename, OutputFilename, Option, WorkingDir)
% function y_Call_bet(InputFilename, OutputFilename, Option)
% Call FSL's bet under Linux or Mac OS
% Call Chris Rorden's revised bet (distributed with MRIcroN) under Windows. ('eval' is not suitable for 'parfor')
% Input:
% InputFilename - The ... |
958fbd83daf34e1b9fd6d2987091086602460cdc0fdd40300e12288e84f9f32b | MATLAB | 3,624 | 118 | function Y = ttm(X,V,varargin)
%TTM Tensor times matrix.
%
% Y = TTM(X,A,N) computes the n-mode product of tensor X with a
% matrix A; i.e., X x_N A. The integer N specifies the dimension
% (or mode) of X along which A should be multiplied. If size(A) =
% [J,I], then X must have size(X,N) = I. The result wil... |
a428b75b616391291e268a69526ea7f8485e894162fcf8856ffc3abac7c5490d | MATLAB | 3,624 | 102 |
%%
decodeType=1;
% typeID={'DecodeTest_corrNM'};
%
% cvAccuracy=DataConvert.embCell2mat(Analyze.returnFieldValues(PlotData,typeID{decodeType}));
%
% FigHandels(1)=plt.fig('units','inches','width',8,'height',8,'font','Arial','fontsize',12);
%
% imagesc(mean(cvAccuracy,3))
%
% plt.vline([.5:5:20.5],{'k... |
c9617d9a08e4fe13b95356358f6d0f83ea4dea40bb586dfc977b53d5465176f0 | MATLAB | 3,624 | 91 | function egrad = getEuclideanGradient(problem, x, storedb, key)
% Computes the Euclidean gradient of the cost function at x.
%
% function egrad = getEuclideanGradient(problem, x)
% function egrad = getEuclideanGradient(problem, x, storedb)
% function egrad = getEuclideanGradient(problem, x, storedb, key)
%
% Ret... |
0b491b0a6db735344e9774af522b5eb7826f4e63e8a95fa1dee6be496578f58c | MATLAB | 3,625 | 79 | classdef SquareTensorPatch < diffgeometry.TensorPatch & diffgeometry.SquareMatPatch
% A tensor that is also a square matrix, i.e. something whose
% components transform as a tensor but of which we can take determinant
% and trace etc. E.g. metric or second fundamental form (curvature) L
%-------... |
44da3dd936647487434f207adaeaf44cd8cbd5ee56652f2911fedc13cde896da | MATLAB | 3,625 | 120 | function ccor_matrix(LAN_var, RT_var, W, maxlag, time_max)
% ---%DEPENDENCIAS%---
% - rt_del
global LAN;
LAN = LAN_var;
if nargin < 5
time_max = true;
end
len = length(W);
RT = cell(1,len);
for w = 1:len
RT{w} = rt_del(RT_var, RT_var.est~=W(w));
if ~time_max
RT{w}.OTHER.time_max = zeros(1, length... |
21ce62c61fa7f54f7e5331d00e356017f4e76299484266630a5d836a209f2044 | MATLAB | 3,626 | 95 | % Source-target evaluations on the unit sphere, Helmholtz kernel.
%
% This is basically the same as MV_SPHERE1 but using the Helmholtz kernel. The
% associated matrix is rectangular and complex.
%
% Inputs (defaults are used if not provided or set empty):
%
% - M: number of row points (default: M = 16384)
% - N: nu... |
ae564bd577332dadec1dbc50273d31d9d69108e6d1948af9082b9b54ae97d3e8 | MATLAB | 3,628 | 103 | %% Fig. 2G. Wave speed across animals
clear;clc
%sampling rate
Fs = 2500;
%path to TW results from generalized phase
load('D:\InVivo\TravelinWave\GP-Results-Wideband.mat')
%% concatenate all wave speeds and times across animals
trialWaveTimes = [];
allWaveSpeeds = [];
allTrialSpeeds = [];
y=0;
tcount ... |
6e20877e904975af3f5041838d640bc565a6d38ac05d31292c7cf15d1fe5a024 | MATLAB | 3,629 | 141 | %% This code allows complete manual reselection of every corner in the
%% images.
%% This tool is specifically useful in the case of highly distorted images.
%%
%% Use it when in standard mode.
%% In memory efficient mode, use manual_corner_extraction_no_read.m
if ~exist('n_ima'),
fprintf(1,'No image data availabl... |
45a92eea7c325f5f5e38bdb4b35d4287b612dbaef2e2b9466630685b8b1c0110 | MATLAB | 3,630 | 80 | function J = rgbConvert( I, colorSpace, useSingle )
% Convert RGB image to other color spaces (highly optimized).
%
% If colorSpace=='gray' transforms I to grayscale. The output is within
% numerical error of Matlab's rgb2gray, except ~10x faster. The output in
% this case is hxwx1, and while the input must be hxwx3 fo... |
9512b5b35539bca7efe51aa34f2040ea326bd204bbfdc1002804a329887c379b | MATLAB | 3,630 | 101 | function [summary] = ft_test_compare(varargin)
% FT_TEST_COMPARE
% Copyright (C) 2017, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: you can redistribute it and/or modify
% it under the terms of the ... |
d04c0f810fe8d0d2cbd6ea51fc51e83852658a073aaf5bdc57eb8873cb4eb38a | MATLAB | 3,631 | 117 |
%%% Scope: Reading preprocessed BOLD-signals, calculating FCs
%%% (functional connectivity)
%%% Author: Jonas A. Thiele
%%% Date: 24.06.2022
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Read behavioral data of subjects
behavioralData = readtable('families_all_train.csv');
subjec... |
3909d0933342d2ee2c17758ad7f56ea15c1e361fe308589b6c523baef6b029af | MATLAB | 3,632 | 73 | function [cinterp, P, t, normals, Center, Area, Indicator, percentage] = meshadapt(c, P, t, normals, Area, Indicator, tissue, refinement, alpha)
% Adaptive mesh refinement of a composite multicompartment mesh
% SNM 2021-2022
charge_face = abs(c).*Area; ... |
4e934cdb6d660c957b75acb1819d5b167ed22dce5259bcf489a9a6066fda0d67 | MATLAB | 3,632 | 120 | function hfig = tightfig(hfig)
% tightfig: Alters a figure so that it has the minimum size necessary to
% enclose all axes in the figure without excess space around them.
%
% Note that tightfig will expand the figure to completely encompass all
% axes if necessary. If any 3D axes are present which have been zoomed... |
f30bd2525edc5a664e51a2f1c9ce99701b64f35d7f7affa462962e0c2753e1a5 | MATLAB | 3,632 | 124 | function simpletrack(imgVar,trkSetVar,trkSetCol,viewIdx,prmVar,...
xyLblVar,resID,rcFile,varargin)
%
% imgVar: varName of image cell array I to use. mat.(imgVar) has size [NxNvw]
% trkSetVar: (optional) varName of set array to use. mat.(trkSetVar) is a logical of size [NxNsplit]
% trkSetCol: col index into mat.(trkSe... |
f08fcf82b8cdc99f65f4a70096e5c6e3c57dd409f8050752100c8b0244caff84 | MATLAB | 3,634 | 78 | clear
close all
clc
%% Load atlas
% path to MRI template - must include hdr and img files
atlas = niftiread('/Users/jstrohl/Documents/20230908 Pipelines for neural data analysis/Dependencies/ATLAS-MICE 2/2011-10-30_MRI-template3.hdr', ...
'/Users/jstrohl/Documents/20230908 Pipelines for neural data analysis/D... |
6d0ba52c3f921efcbeebdc6eb51d1c42a66e376b6107f6edb4b6f2a1873a23b2 | MATLAB | 3,635 | 96 | % readbdf() - Loads selected Records of an EDF or BDF File (European Data Format
% for Biosignals) into MATLAB
% Usage:
% >> [DAT,signal] = readedf(EDF_Struct,Records,Mode);
% Notes:
% Records - List of Records for Loading
% Mode - 0 Default
% 1 ... |
8e20759a2d486a6bc5df3db312c2b134b9ad0c687efbdbcc81996574fdd6a540 | MATLAB | 3,636 | 105 | function FADE = calc_FADE2_score(SPM_mat, con_vec, ref_pos, ref_neg, do_plot)
% _
% Calculate two-sided FADE score for a single subject using reference maps
% SPM_mat - filepath to SPM.mat of estimated GLM
% con_vec - the memory contrast vector (e.g. [+1 -1 0])
% ref_pos - filename of reference map for p... |
a3f76f800a420e6490f58092a0e0db3ca61672a7fca712881acbf105678072e7 | MATLAB | 3,637 | 93 | function UnitIDs = FindSignificantUnitsAction(TaskLabel,varargin)
%FindSignificantUnits Returns list of significant units, by pval
[varargin,PThresh]=Utilities.ProcVarargin(varargin,'PThresh',.001);
[varargin,Labels]=Utilities.ProcVarargin(varargin,'Labels',{});
[varargin,Labels2Incl]=Utilities.ProcVarargin(varar... |
c4fc79af12bcb23ff466773910bcf3c43c312b14062400201b7b8956023fcb9f | MATLAB | 3,638 | 103 | %% DF/F uncued
% Tot
figure
[data1,data2] = extract_variables ('dff','dfftot',resultsPath, 'pyr', 'int',conditionType,conditionValue);
for recCounter = 1:size(data1,2)
data1_mdn(recCounter) = median(data1{recCounter});
data2_mdn(recCounter) = median(data2{recCounter});
end
subplot(241)
arrange_boxplot(data1_md... |
14ac3628da739c6e1f8186555682a8fe5b1551b78f7fd21bdfcc84ffffae354b | MATLAB | 3,639 | 108 | function toolboxGenDoc
% Generate documentation, must run from dir toolbox.
%
% 1) Make sure to update and run toolboxUpdateHeader.m
% 2) Update history.txt appropriately, including w current version
% 3) Update overview.html file with the version/date/link to zip:
% edit external/m2html/templates/frame-piotr/overv... |
d6a0f2bcd8e9fea116abb9f866dc29a55fae88b46b97496d157f05df3bf745b3 | MATLAB | 3,639 | 95 | function [EEG,PARAM] = DS_complexDemodulation(EEG,PARAM)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ComplexDemodulation
%
% Part of detect_spindles toolbox:
%
% Authors: Stephane Sockeel, PhD, University of Montreal
% Stuart Fogel, PhD, University of Ottawa
% T... |
741fc938ab83c2d3575766365b6accb7f3003563bba9c8c21300eca7e2eff73e | MATLAB | 3,640 | 120 | % [thresh,lower,cost] = onedim2class(x,l,costmatrix,weights,lower)
% inputs:
% x is the N x 1 matrix of N unidimensional data points
% l is the N x 1 matrix of N corresponding labels, where l(i) can
% be either -1 or 1
% thresh is the best threshold such that almost everything on one
% side of the threshold is of one c... |
a9df5b552c91be953dbd1a9fb2f8310524a006413422f127053fea7478ced750 | MATLAB | 3,640 | 171 | function [a,res_out,k,field_theo]=lm_field_general(astart,f,forwpar,lambda)
%[dips,c,res_out,c_theo,a,k,astart]=lm_comp_general(c,forwpar,ndip,xtype,astart)
if nargin < 4
lambda=0;
end
[npar,ndum]=size(astart);
astart=reshape(astart,npar*ndum,1);
[npar,ndum]=size(astart);
if npar==1
astart=astart';
npar=... |
9093a366e3fc76aa66fa992de3e0f2d5837720d22dca51cbc08f0c945658db76 | MATLAB | 3,642 | 105 | function x = VBA_spm_invNcdf(F,u,v)
% Inverse Cumulative Distribution Function (CDF) for univariate Normal
% FORMAT x = spm_invNcdf(F,u,v)
%
% F - CDF (lower tail p-value)
% u - mean [Defaults to 0]
% v - variance (v>0) [Defaults to 1]
% x - ordinates of N(u,v) at which CDF F(x)=F
%_____________________... |
1a225a9f766da8d74d15da880b9e44cb97a1e3793929b21815799bb032ad98e6 | MATLAB | 3,643 | 133 | function h_setupMenu3(handles, flag)
global h_img3
if ~exist('flag', 'var') || isempty(flag)
flag = 'upper';
end
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
if strcmpi(flag, 'upper') % Note if making a new GUI menu, set the size to be 330(x) by 151(y) pixels,
... |
2f9d17eeae83aa35109d76afaebcc3038e54abbc2c0d77ae84beca36f086e8ff | MATLAB | 3,643 | 100 | % registration_SaveRepresentaiveImages.m
% Sarah West
% 8/25/21
% Loads individual images for differentiating between light channels, then
% saves a representaive image for the day.
function [] = registration_SaveRepresentativeImages(parameters)
% Assign parameters their original names
dir_d... |
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