sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
e3c0d2fd83a6139b713eb303854a59eb1848c77aceaa5115c3073a3fb88f9f7f | MATLAB | 862 | 37 | function entry = findindict(c,dcode)
% Look up an entry in the dictionary
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: findindict.m 8776 2013-11-14 09:04:48Z roboos $
entry = [];
d = getdict;
d = d.(dcode);
if ischar(c)... |
b9bd2f1a91ce2d4c4aaa86f5360f3503d70b7b4927edd6509673f5096045556e | MATLAB | 863 | 27 | function [U_sigma, sigma] = match_eigs(U,V)
%match_eigs matches two sets of orthonormal eigenvectors
%
% Command: [U_sigma, sigma] = match_eigs(U,V)
%
% U and V are N x N matrices with eigenvectors along the columns.
%
% Outputs:
% U_sigma: N x N matrix of eigenvectors from U matched to V
% ... |
ac49fe8b7ff34c8364aafee7eb5121822ba0a397d42307f9224cda29e355efd2 | MATLAB | 865 | 28 | function textureHist = BlobStructTextureHistLBP(blobIndIm, colourIm)
% Get LBP's for all colour channels
textureHistT = cell(1, size(colourIm,3));
numBlobs = max(blobIndIm(:));
% for i=1:size(colourIm,3)
% currIm = GaussFilter(colourIm(:,:,i), 'smooth', .3);
% % currIm = colourIm(:,:,i);
% [LBP numBins] =... |
c0264d4a6c57f67b11394c3f61f13813c09ef35ed2d2ef95bd7f57da5653b335 | MATLAB | 865 | 18 | function [flip_needed, flip_possible] = determine_if_head_tail_flip(head_direction_dot_product, tail_direction_dot_product, parameters)
%determines if a head/tail flip is needed
time_threshold = parameters.TrackingMaxBackwardsTime * parameters.SampleRate; %number of frames to make a call
flip_needed ... |
f23c6e21d0bbc0da463409e863630c35a00083c098012a3ba62950d64f91008a | MATLAB | 865 | 30 | % Map Desikan atlas to Yeo-7 Atlas labels (exclude subcortical)
% Yeo et al. 2011, JNP
%
% 22-08-2022 Jonathan Wirsich, Enrico Amico
function [sameRSN, RSN_labels] = init_yeo(atlases, atl, lib_path)
%Init yeo atlas
if strcmp(atlases(atl).name, 'desikan')
tmp = load([lib_path 'aparc_aseg_yeoRS7_68reg_e... |
183ba52dc2f4188f08d2cc09015d14df89794692e6fa7b2560b5bff8ef8f2fe9 | MATLAB | 867 | 25 | function [hBlobs blobsInit blobsRest] = RecreateBlobHierarchyIndIm(blobIndIm, blobBoxes, hierarchy)
% function hBlobs = RecreateBlobHierarchyIndIm(blobIndIm, boxes, hierarchy)
%
% Recreate hierarchy from the initial segmentation image
%
% blobIndIm: Image with indices denoting segments
% blobBoxes: ... |
8a5dad6dc2bddbc05b2f48fdc080231606bffde74fb4f41dbd172fd786266465 | MATLAB | 867 | 28 | % clear;
addpath(genpath('.'))
addpath(genpath(fullfile('..','ANE')))
%%
dir_video=fullfile('E:','data_CNMFE');
list_Exp_ID={'blood_vessel_10Hz','PFC4_15Hz','bma22_epm','CaMKII_120_TMT Exposure_5fps'};
num_Exp = length(list_Exp_ID);
eid = 4;
Exp_ID = list_Exp_ID{eid};
DirSave = ['Results_',Exp_ID];
dir_add = fullfile(... |
ab17e2f717c8105647bd87e304586c9a1a07789b9635b60e0b974f0f17abad26 | MATLAB | 867 | 44 | function d = size(a,varargin)
% overloaded size function for file_array objects.
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: size.m 8776 2013-11-14 09:04:48Z roboos $
sa = struct(a);
nd = 0;
for i=1:numel(sa),
nd... |
af825f4c3cdcc92e7003ac6dd8efe31e19e252e03308b07c9f010f44c5b0cc40 | MATLAB | 867 | 37 | % linear regression of parameters and measurement
clear;
close all;
clc;
initime = clock;
mkdir("figure");
mkdir("figure/agree");
mkdir("figure/disagree");
mkdir("figure/noOsc")
addpath('funcs');
x1 = 0.125; y1 = 0.0125;
x2 = 0.4; y2 = 0.029;
N = 201;
Iattn = 0.02;
alltime = 4000;
% y = k*x + b
% get points (xn, yn... |
039a1ce5635f3b355992c994e4f33c379d9447cd8672b440b8d3e8ded5ccf455 | MATLAB | 868 | 29 | function [imagesCellTrain, filenameTrn] = loadImages(files, dirDB, allIndexes, indImagesTrain, numImagesTrain, plotta)
%init
vectorIndexTrain = allIndexes(indImagesTrain);
filenameTrn = cell(length(vectorIndexTrain), 1);
imagesCellTrain = cell(numImagesTrain, 1);
%loop
for i = 1 : length(vectorIndexTrain)
fi... |
1539c65072bd467d88dd224962a70df7405955fdacb254389080152c65f1e35a | MATLAB | 868 | 20 | <<<<<<< HEAD
function indexes = computeReal(indexes, MATCHING_t)
LogWrite('Compute indexes ...');
% calcolo DET
[indexes.FMR, indexes.FNMR] = computeDET(indexes.gmsVector, indexes.imsVector, indexes.REJngra, indexes.REJnira, MATCHING_t);
% calcolo EER
[indexes.EER, indexes.EERlow, indexes.EERhigh] = computeEER(indexes... |
287fba3a29866d4bfe99d30a6dcc0826c0b9430175179f51699b8f1dcdcac407 | MATLAB | 868 | 33 | function openmeeg_license
% OPENMEEG_LICENSE prints the license only once upon the first call to this
% function. If the user does a "clear all", the license will again be shown.
% This function should be included in every openmeeg function to ensure
% that the license is displayed at least once.
% Copyright (C) 2009... |
3a930f8bff1b36583ceacb1a727bc5da960430e22ddf9df3cec377ad5d157a82 | MATLAB | 868 | 28 | % This function is for "Vectorizing the Notion of Colon (:)", and was taken from (author: Loren Shure):
% http://blogs.mathworks.com/loren/2008/10/13/vectorizing-the-notion-of-colon/
function x = coloncatrld(start, stop)
% COLONCAT Concatenate colon expressions
% X = COLONCAT(START,STOP) returns a vector conta... |
81b3f756ce0e1a48d65bc856900dc0a166b2cddc9ed42dafdec1a56c56290c9d | MATLAB | 868 | 32 | function [retval] = fd3(fid)
% [retval] = fd3(fid)
% read a 3 byte integer out of a file
%
% fread3.m
%
% Original Author: Bruce Fischl
% CVS Revision Info:
% $Author: nicks $
% $Date: 2007/01/10 22:55:09 $
% $Revision: 8776 $
%
% Copyright (C) 2002-2007,
% The General Hospital Corporation (Boston, MA).
% A... |
53301923d9adcf9f9745c12e9885a88260ba7ec61ac41a4861d0e773c464a361 | MATLAB | 869 | 43 | Adapts code from:
https://github.com/trendscenter/gift
function [bestx, yfit] = fit_L_tocurve_area(x,y)
%[bestx, F] = fit_L_tocurve_area(x,y, plotit)
%
% if nargin < 3
% plotit = 1;
% end
x = x(:);
y = y(:);
%%
% P = [xbp m1 m2 b]
options = optimset('TolFun',1e-14, 'TolX', 1e-14, 'MaxFunEvals', 100000, 'MaxIter',... |
5acb1ac2a742a7d91c1d2827be7917f7342445e9052afd4ce0bb94dccbd6c66a | MATLAB | 869 | 20 | function mltp_compute_bfo_90(obj, session)
outputFolder = fullfile(session.getAnalysisDirectory(), obj.Config.best_fit_orientations.outputFolder);
rotDeg = 90;
numContexts = obj.Experiment.getNumContexts();
mirrorContexts = zeros(1,numContexts); % Set entry to 1 to mirror the context
[per... |
764831c1fab1f5d026420d6643f1ea52ae71bc2878837bbb4df0cba368093d05 | MATLAB | 869 | 27 | % mglGetWindowPos.m
%
% usage: windowPos = mglGetWindowPos(socketInfo)
% by: Justin Gardner
% date: 07/29/17
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Returns the position of a windowed context opened with mglOpen(0)
% returned position will ... |
016822b883f4b6bb0454c4949a57ce38e08e0137bcc0e1fe3d49e12e2d2e5a3f | MATLAB | 871 | 23 | % VL_RODR Rodrigues' formula
% R = VL_RODR(OM) where OM a 3-dimensional column vector computes the
% Rodrigues' formula of OM, returning the rotation matrix R =
% expm(vl_hat(OM)).
%
% [R,DR] = VL_RODR(OM) computes also the derivative of the Rodrigues
% formula. In matrix notation this is the expression
%
% ... |
23a289ac1228e31b04d169217855bca2f31c61a8bb4c570d95a840376e124fc7 | MATLAB | 872 | 27 | function [ wearable_obj ] = getWearableObj( obj )
% Get Wearable object.
%
% Syntax:
% [ wearable_obj ] = getWearableObj( obj )
%
% Input parameters:
% obj
%
% Output parameters:
% wearable_obj
%
% Example:
% [ wearable_obj ] = obj.getWearableObj()
%
% Available at: https://github.com/NC... |
cf606fadaa0fad7b3e0ef093c1648a728cc60dcbf114c2e9201c8f01042f907b | MATLAB | 872 | 21 | function mlgp_compute_bfo_180(obj, session)
outputFolder = fullfile(session.getAnalysisDirectory(), obj.Config.best_fit_orientations.outputFolder);
rotDeg = 180;
numContexts = obj.Experiment.getNumContexts();
mirrorContexts = zeros(1,numContexts); % Set entry to 1 to mirror the context
[... |
0e5d988294d23015b7c78e540bffed4642ab3888febbf64d5ab187ed14e1f131 | MATLAB | 873 | 36 | function Kappa = curvature(muTest, consistency, regularization, plotflag)
% cubic spline differentiation to find Kappa (largest curvature)
if nargin < 3
plotflag = 1;
end
if plotflag == 1
figure(20), plot(consistency, regularization, 'marker', '*')
end
eta = log(regularization.^2);
rho = log(consistency.^2);... |
3296ef30e68770faa68b36afdb493ce5726f5519c92ccce4e7c390be52528794 | MATLAB | 873 | 37 | function [fdata,delta] = reorder_match(f2c,cdata,ctrx,ftrx)
[fnflies,nframes] = size(f2c);
iscelldata = iscell(cdata);
if iscelldata,
cdata_cell = cdata;
cnflies = numel(ctrx);
cdata = nan([cnflies,nframes]);
delta = nan(1,cnflies);
for cfly = 1:cnflies,
delta(cfly) = (ctrx(cfly).endframe-ctrx(cfly).fi... |
757f1f0f2d86430692ea5ad0e532d8d6dacdc73dda8fd7f135398ac0e28db679 | MATLAB | 873 | 31 | %% function save_nii_img_only(headerfilename,savefilename,images)
%
% Description: Wrapper script for saving with target image header
%
% Kwok-shing Chan @ DCCN
% k.chan@donders.ru.nl
% Date created: 24 January 2017
% Date modified: 28 June 2020 (v0.8.0)
%
% cleaned up X.L.
function save_nii_img_only(headerfi... |
e5fdc5af13ec1f015884c2276782d422b5bd3ae195381a60c5c146f6984564d1 | MATLAB | 873 | 17 | function object_task_correlations(pipe)
% There are two forms of this task:
% 1) hab session containing 4 trials, and NO test session
% 2) hab session containing 4 trials, and test session containing 1 trial
% 3) 5 separate session each containing 1 trial.
if pipe.Experiment.getNumSessions() == 1
object_ta... |
f3a8efff20092c756d2113a121f5bafff358c1a7f947d932a1355b86b379d71d | MATLAB | 873 | 31 | function [a,b, y_fit] = ml_util_medianmedian_linearfit(x,y)
% This perform a median-median linear fit to the points x, y
% and returns the intercept 'a' and slope 'b' such that
% y_fit = a + b*x_data
N = numel(x);
if numel(y) ~= N
error('Length of x and y must be the same.');
end
... |
2326fca4ca22efc5e15120f98f8a11d62dfc3fda1b2f2325a25e8162c902b423 | MATLAB | 874 | 21 | %
% Prepare target matrix for the diagonality test when in "base" mode,
% not self mode. This is identical to konect_prepare_matrix(), only
% that for Laplacian decompositions this will return the underlying
% adjacency matrix.
%
function [B] = prepare_matrix_target(decomposition, A, format)
if strcmp(decompo... |
16fd5d9b418dc6f99231bbe3adc9f3a35021601da656ed666b1e72b183ef0d43 | MATLAB | 875 | 43 | function varargout = permission(varargin)
% Format
% For getting the value
% dat = permission(obj)
%
% For setting the value
% obj = permission(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: permission.m 8776 2013-... |
3ef895401116d165873ddd2a589b6395b5c1388930b57198618e7754492f60b3 | MATLAB | 876 | 26 | % figureS3(data_dir, read_from_excel)
% INPUTS:
% data_dir (str): Path to source data (default: 'source_data').
%
% read_from_excel (bool): Flag to read from Excel (true)
% or .mat files (false) (default: false).
%
% Mackay et al. 2024 (DOI:10.1038/s41467-024-52295-5)
% License: M... |
9223033504386f682c59484fb53ebf474f5667b45b73aa6e2cb1773c645c61f4 | MATLAB | 876 | 35 | function [goodCycles, goodCS, z] = t2t_2csNOcs(csTimes, cycleMat_cs, z, whichSpike)
%% Find Good Cycles/Trials
% Condition 1: 1 cs in 200-1000ms
z.csWindow_good = (z.sr_e * .201):(z.cycleLen_e/2);
conds(:,1) = sum(cycleMat_cs(:,z.csWindow_good),2);
conds(:,1) = conds(:,1) == 2;
% Condition 2: NO cs in 0-200ms
z.cs... |
6f4a17213d5057f9a900746e70b29067a833982c376b863262bf50e522e29f6f | MATLAB | 877 | 26 | % figureS4(data_dir, read_from_excel)
% INPUTS:
% data_dir (str): Path to source data (default: 'source_data').
%
% read_from_excel (bool): Flag to read from Excel (true)
% or .mat files (false) (default: false).
%
% Mackay et al. 2024 (DOI:10.1038/s41467-024-52295-5)
% License: M... |
aa3faa5565f7de1883e453c7b4f36bf59d9288d7bbf9653e52328bafa4e1e4bf | MATLAB | 877 | 22 | function ExampleHeader = ml_sim_mclust_tfile_header(tfileBits)
t = datestr(datetime('now','TimeZone','local','Format','d-MMM-y HH:mm:ss'));
ExampleHeader = cell(1, 10);
ExampleHeader{1} = '%%BEGINHEADER';
ExampleHeader{2} = '% Program: matlab';
%ExampleHeader{3} = '% MClust version: MClust 4.0.6; 2... |
b797fbf23ef82a06afcc796ccd7a9aaf1814559d9348f4f45e7352d76f152067 | MATLAB | 877 | 30 | % mglStencilCreateBegin
%
% $Id$
% usage: mglStencilCreateBegin(stencilNumber,invert)
% by: justin gardner
% date: 05/26/2006
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Begin drawing to stencil. Until mglStencilCreateEnd
% is called, al... |
062346fd7424933d7466c7fb3228bc7ffd3227ccd9c3de3f6c28f5e225e28d28 | MATLAB | 878 | 36 | function vid = setupvideo(pos)
imaqreset;
vid(1) = videoinput('winvideo',1,'MJPG_1280x1080');
vid(2) = videoinput('winvideo',2,'MJPG_1280x1080');
% Set up the camera
set(vid,'FramesPerTrigger',1);
set(vid,'TriggerRepeat',Inf);
triggerconfig(vid,'manual');
% Get a grayscale image
set(vid,'ReturnedColorSpace','graysc... |
1f503d496ae6904e302edcb4439432981ac784021bdf385f57408c06b7df5ded | MATLAB | 878 | 22 | function [data] = ml_experiment_description_load_metadata(experimentDescriptionFilename)
[filePath, fileName, fileExtension] = fileparts( experimentDescriptionFilename );
if ~strcmp(fileExtension, '.json')
error('Invalid extension for %s.', experimentDescriptionFilename);
end
data.edFolder =... |
7c4184b953caed69e2e468d0ccfc11765aa969a1c5fc5e41b7b11dd040ec5f30 | MATLAB | 878 | 38 | function make_hist_surv(handles)
figure
clf
mc_method{1}='None';
mc_method{2}='FD';
mc_method{3}='power 2014 FD only';
mc_method{4}='power 2014 motion';
tit2=['MC: ' char(mc_method(find(handles.mc.motions)))];
subplot (5,1,1:4)
f=handles.mc.n_surv_frames;
% n_bins=min(sum(handles.mc.surv_ix),21);
n_bins=21;
up_to=ma... |
8b4a9f9d2358798753a9ce2063b832ce738484e3e8949d9d09a864ab374ed984 | MATLAB | 878 | 32 | function [tracks]= assignmentCoorection(tracks,meanTracks)
MatchThresh = 10;
cost = [];
tracks = tracks;
if ~isempty(meanTracks)
% assign detections
nTracks = length(tracks);
nDetections = size(meanTracks,1);
cost = zeros(nDetections,nTracks);
for i = 1:nTracks
QueryPoints = tracks(i).predic... |
ad25f0ec30c1afbc054a06e9abf37faffba27f3f8a81771c15e8417dbf440682 | MATLAB | 878 | 21 | function mlgp_compute_bfo_90_mod(obj, session)
outputFolder = fullfile(session.getAnalysisDirectory(), obj.Config.best_fit_orientations.outputFolder);
rotDeg = 90;
numContexts = obj.Experiment.getNumContexts();
mirrorContexts = zeros(1,numContexts); % Set entry to 1 to mirror the context
... |
c45c96716919a924fbbfb2d17453d91748ea6c5cf96549e1b50398099eec72c0 | MATLAB | 878 | 35 | % mglVolume: Get/set system volume
%
% usage: vol = mglVolume(<volume>)
% by: justin gardner
% date: 08/08/2016
% copyright: (c) 2016 Justin Gardner (GPL see mgl/COPYING)
% purpose: Gets / sets system volume.
%
% Volume can be a scalar (which sets volume to that level
% i... |
9e7eae0377e861ee49a6f128a01c15b223271f4f31921cdde0ccd7402b353937 | MATLAB | 879 | 35 | function [x] = hilbert(xr)
% Computes analytic signal
% FORMAT [x] = hilbert(xr)
%
% Returns analytic signal x = xr + i*xi such that
% xi is the Hilbert transform of real vector xr.
%__________________________________________________________________________
% Copyright (C) 2009 Wellcome Trust Centre for Neuroimaging
... |
e3c97d6092ad2c5708bb025d134599b82a0c6b2d45625c176ed5120a58c26fbf | MATLAB | 879 | 36 | function extras = write_extras(fname,extras)
% Write extra bits of information
%_______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: write_extras.m 8776 2013-11-14 09:04:48Z roboos $
[pth,nam,ext] = fileparts(fname);
switch ext
c... |
049201a69e667775de9172a9c57f7bfffbaf823c17bf43fa18fdadf03ff576c9 | MATLAB | 880 | 21 | % extract background features for contrast computation
% (h ,w are size of no paddings)
function feat_bkg = extr_feat_background(chns, h, w, p, bw)
imh = chns.imh; imw = chns.imw;
b = floor( bw * max(h, w) / 400 );
% get pixels in the probable background
[xl, yl] = meshgrid(p : (p + b - 1), p : (p + h - 1)); % le... |
6f5b29ea7d53d1ce821ae167c231e9a0d13ad915d98a24e847249c86e9686e11 | MATLAB | 880 | 30 | function data = linearityScatterPlot_pieceWise(vec1, vec2, starts, stops, c, keep)
[data.all_Rsq, data.all_slope, data.all_range, data.all_yfit] = linearityScatterPlot(vec1, vec2, keep, c);
%% Calculate needed values
for i = 1:length(starts)
data.chunk(i) = starts(i):stops(i);
data.vec1Chunk(i) = ve... |
119c3793475e6b1551a35b6fc426e4bb1d8cb33b83b168f940729260ce633c53 | MATLAB | 881 | 19 | function [t_ms, x_px, y_px, theta_deg] = ml_nlx_nvt_get_filtered_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... |
213c46a6d35a4d61195c034b8423fb092f7a48d8b087503c643087e917c1d9e3 | MATLAB | 882 | 43 | function varargout = permission(varargin)
% Format
% For getting the value
% dat = permission(obj)
%
% For setting the value
% obj = permission(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: privatepermission.m 877... |
a456ae0082b434dbf35e80756dbca79d674a158da8c94206f7ace07ac9cbf1ac | MATLAB | 882 | 34 | function [segmentIndexRanges] = ml_util_segment_array(a, maxDifference)
%% Splits an array of values into segments whose values in each
% segment dont differ by maxDifference.
%
% eg. t = [1 2 3 4 5 6 7 8 10 11 13 14 15 16 19 20]
%
% segmentI... |
e753ae4599fc1e8cc44f08c6955c710d00b99e0a39c0d314385c99393f2ecd59 | MATLAB | 882 | 33 | function logplot(x_orig, logscale)
% Normal plot with layered logscale plot
% logplot(x_orig, logscale)
% x_orig Plotted data
% logscale Optional 2-element vector representing plot range
% for cropping logarithmic plot area
% Copyright (C) 2004, 2005 DSS MATLAB package team (dss@cis.hut.fi)... |
7ea6fe0591cffb94bfc73b80e378f52435d57067abe13170721a4f399371657e | MATLAB | 883 | 36 | function vl_demo_kdtree_self
% VL_DEMO_KDTREE_SELF
% Demonstrates using a kd-tree to find the pairwise nearest
% neighbors in a set of points.
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of th... |
9eeafba0c04a3b462f0a0eebcbabe2fc810cbb62ab15a9a1d28d87e2f9f3c215 | MATLAB | 883 | 33 | function [powerR, centerfreqR, powerIntR] = getPowerFreq(r, strt_prd, end_prd, band_from, band_to)
%GETPOWERFREQ get both center frequency and the power of it
% Detailed explanation goes here
powerR = zeros(16,6);
centerfreqR = zeros(16,6);
powerIntR = zeros(16,6);
maxFreq = 100; % max frequency kept
for pop = 1:16... |
bdf6daa6abbc2cb9fb97e4ebccdce4b60c7db4c1dfcfcc823f16cdaa737bdb06 | MATLAB | 883 | 28 | function [ streaming_obj ] = getStreamingObj( obj )
% Get Streaming object.
%
% Syntax:
% [ streaming_obj ] = getStreamingObj( obj )
%
% Input parameters:
% obj
%
% Output parameters:
% streaming_obj
%
% Example:
% [ streaming_obj ] = obj.getStreamingObj()
%
% Available at: https://githu... |
f252098cd8653f8d7613d802f85ef4cebcb9f6bf12204b506fb5128c8923c874 | MATLAB | 883 | 26 | function ret=SONWriteEventBlock(fh, chan, buffer, count)
% SONWRITEEVENTBLOCK writes data to an ADC channel
%
% RET=SONWRITEEVENTBLOCK(FH, CHAN, BUFFER, COUNT)
% INPUTS: FH the SON file handle
% CHAN the target channel
% BUFFER the data to be written containing int32 timestamps
% COUNT the numb... |
f1c5d72eca34dec8bf817add12f1460cc9a145ccee0807a4bc6e07c09b222329 | MATLAB | 884 | 25 | function targetonfig = Surf2FigFnc(x_fig,target,tform_fig)
%Surf2FigFnc 実際の脳表面の座標(mm)から画像上の座標(px)を求める関数。
% 詳細説明をここに記述
h = x_fig(1);
% 拡大縮小
surfgrid = [target(:,1)-h,target(:,2),target(:,3)];
% ｘ軸に関して回転
theta = deg2rad(x_fig(2));
u = deg2rad(x_fig(3));
%w = deg2rad(x_fig(4));
rotX = [1 0 0;0 cos(theta) s... |
45ed26acd12c5fb9b5a379a7cfb37877a746d740a439e4e34af63a96c4d95e20 | MATLAB | 885 | 35 | function [metrics_labels] = get_label_metrics(version,node_labels)
% This funtion gets the labels of each metric given the choice of metrics
% and the label of each node
n_nodes=length(node_labels);
if version==1
BC=strings(1,n_nodes);
Ci=strings(1,n_nodes);
EC=strings(1,n_nodes);
D=strings(1,n_nodes);... |
5735a0b5b72ac02f39e37aafdeb7b17329b65595aabb37b8e9d732df9027d301 | MATLAB | 885 | 31 | % Function File: [X] = sinv (A)
%
% Compute the inverse of the square matrix A by singular value
% decomposition. This is a more stable alternative to the native
% inverse function when the matrix A is nearly singular (i.e. if
% its determinant, or det(A) approaches zero).
%
% The singula... |
6a65f6ad67fd95e5564a3c981b47acb39818d00e12193189383bed4c47817c8c | MATLAB | 885 | 34 | % pauseTask.m
%
% $Id$
% usage: pauseTask()
% by: justin gardner
% date: 10/26/06
% copyright: (c) 2006 Justin Gardner (GPL see mgl/COPYING)
% purpose: fix trial timers when the stimulus has been paused
%
function task = pauseTask(task,pauseInterval)
% check arguments
if ~any(nargin == [2... |
581a1574a1cd3a9ebce39913edb640e6f8d4c41cb4ec35e377a8f963f2bcc5b1 | MATLAB | 886 | 64 | function img_data=read_img_rgb(img_file, data_type)
assert(strcmp(data_type, 'uint8'));
try
[img_data, map] = imread(img_file);
catch err_info
disp(err_info);
disp(img_file);
error('image read error');
end
if size(img_data, 4)>1
error('cannot read images with multi-frames');
% only load the first... |
72a6c59912bf15e8aad84ad4697834392ed7fe4bf80f6754618ffe5acc8c8d16 | MATLAB | 886 | 43 | function out=sparseconv(x,f)
% SPARSECONV Speedy convolution of sparse vectors
%
% OUT = SPARSECONV(X, F) computes the convolution of the
% (sparse) input vectors X and F.
%
% Gert Cuypers 4/10/2001
% Esat Sista KULeuven
[rij,kol]=size(x);
if kol>1
x=x.';
end
[rij,kol]=size(x);
if kol>1
error('x ... |
a0ce7d0528bf937eeeea011d276abc95eec1caf91ed48df74b5a7f57d2f0787b | MATLAB | 886 | 28 | function bgtraces=generate_bgtraces_from_masks_exclude(video,masks)
% Generate background traces for each neuron from ground truth masks.
% Background intensity is the median of the intensity in the nearby
% region of the neuron, but excluding the neuron itself.
[Lx,Ly,T]=size(video);
[Lxm,Lym,ncells]=size(masks);
[x... |
a7fe38b2e213e7cbbe878bfc074b66606e326a03f28547d0ba9847ecfe5240c6 | MATLAB | 888 | 27 | % SONDATETIME gets or sets the creation data/time data in a SON file
% The date/time are returned in standard MATLAB format
%
% Implemented through SONDateTime.dll
%
% DATEVECTOR = SONDATETIME(FH)
% returns the creation date/time from the file
% DATEVECTOR1 = SONDATETIME(FH, DATEVECTOR2)
% sets the ti... |
c38e30c8f897fad32c7234581fbe6d2f94341cb4b12fe5eec5a5fc89555e8101 | MATLAB | 889 | 17 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [M] = get_match_table_for_cells(TableA, TableB)
% Get matching sessions between the two tables
matchingRows = ml_util_find_row_matches([TableA.animalName, TableA.sessionName, TableA.cellName], [TableB.animalName, Ta... |
0c4e1bdce856af6ff747c0ed55a6c9b1369f3ab85dc68415f186f48a97b3ebac | MATLAB | 891 | 28 | function [bestMap, bestCombination, metricValue] = best_flip_combinations_standarddeviation(maps)
numTrials = size(maps,3);
flipCombinations = flip_combinations(numTrials);
numCombinations = size(flipCombinations,1);
flipMetric = zeros(numCombinations,1);
flippedMap = zeros(size(maps,1), size... |
c35fc0a132f8bc1f60069aca258ba9e91e4ed9ebd998281ce256406b3f19bc87 | MATLAB | 891 | 27 | % VL_IKMEANS Integer K-means
% C = VL_IKMEANS(X,K) returns the centers of a K-means paritioning of
% the data space X. X must be of class UINT8. C is of class UINT32.
%
% [C, I] = VL_IKMEANS(...) returns the cluster associations I of the
% data as well.
%
% VL_IKMEANS() accepts the following options:
%
% M... |
e68a2c4d819d2f38e1e8fc1f23270953c374ca2feb5ce4bd2aa8166a9b90ecf1 | MATLAB | 891 | 25 | function cbar = colorbar_log(my_clim)
%COLORBAR_LOG Apply log10 scaling to pseudocolor axis
% and display colorbar COLORBAR_LOG(V), where V is the
% two element vector [cmin cmax], sets manual, logarithmic
% scaling of pseudocolor for the SURFACE and PATCH
% objects. cmin and cmax should be specified on a LINEAR
... |
f565c101b5a5ff444e3230f1f9c5b810988035f6a6bfae3fd13dd9ce64d5d9d1 | MATLAB | 891 | 26 | function logEv = logevid_GLM(wts,hprs,mstruct)
% logEv = logevid_GLM(wts,hprs,mstruct)
%
% Compute negative log-evidence under a GLM using the Laplace approximation
%
% INPUTS:
% wts [m x 1] - regression weights
% hprs [p x 1] - hyper-parameters
% mstruct [1 x 1] - model structure with fields:
% .neglogl... |
58c1d8cc8ee73c1b0d173794230bb81922d784e92acaf22dfceeb09235e55cd6 | MATLAB | 892 | 31 | function child = children(tree,uid)
% XMLTREE/CHILDREN Return children's UIDs of node uid
% FORMAT child = children(tree,uid)
%
% tree - a tree
% uid - uid of the element
% child - array of the UIDs of children of node uid
%__________________________________________________________________________
%
% Return UID'... |
bc8185172a7a1e298cff4106b515dddf862a08f3e3a9cf95c541e32ca61a3860 | MATLAB | 892 | 29 | function distances = pos2dists(positions)
% distances = pos2dists(positions)
%
% Function to convert a series of points into a matrix of distances between
% all the points. Input is the NxD list of N D-dimensional points. Output
% is the NxN matrix of distances between any two points (position i,j in
% the output is t... |
c1dcbb83ea50b5647cf00116818abde2de96d03debc4a36876f90ed765b65ea2 | MATLAB | 892 | 44 | function results = vl_test_lbp(varargin)
% VL_TEST_TWISTER
vl_test_init ;
function test_unfiorm_lbps(s)
% enumerate the 56 uniform lbps
q = 0 ;
for i=0:7
for j=1:7
I = zeros(3) ;
p = mod(s.pixels - i + 8, 8) + 1 ;
I(p <= j) = 1 ;
f = vl_lbp(single(I), 3) ;
q = q + 1 ;
vl_assert_equal(find(f... |
dfb3fe01d206c0b5f3a487f06cdc3cfddf799841e3381e2110d0c33e30965536 | MATLAB | 892 | 35 | %FMUT unit testing
%General setup
%
%AUTHOR: Eric Fields
%VERSION DATE: 12 June 2020
clear all; close all; path(pathdef); %#ok<CLALL>
%Add EEGLAB and MUT to path
[ALLEEG, EEG, CURRENTSET, ALLCOM] = eeglab;
%Remove FMUT directory within EEGLAB plugins folder
rmpath(fileparts(which('FclustGND')));
%Add ... |
5c4c851f3407ad58a6b02b7c95ea44ecaca8e86a67ce8134bb8613ba502ed0e0 | MATLAB | 894 | 19 | SC = change_camera_ROI(SC,'BSI',SC.c0,SC.r0,OPT_S.n_FOV); %change camera ROI to capture N_FOV by N_FOV pixels
SC = laser_set(SC.laser_settings.laser_power,SC); %set laser to standart power
SC = change_exposure(SC,'BSI',SC.BSI_settings.very_high_exp); ... |
638b0b51a00ad5df4dde8c2580eae41a72a2846f9a94f830f8f33f0bf13dcdf8 | MATLAB | 894 | 20 | function [col,row] = GetNeedleTip(im)
im = rgb2gray(im);
I = imadjust(imtophat(im,strel('rectangle',[8,20])),[0.01,0.1]);
BW = bwareaopen(I>100,500,4);
CC = bwconncomp(BW);
stats = regionprops(CC, 'BoundingBox');
aspectRatios = zeros(length(stats),1);
for i = 1:length(stats)
aspectRa... |
cbad6e5b2b173e9a882cf0aeb42e93da24ce3dc9ae5d9ee769a486557180af70 | MATLAB | 894 | 20 | function [HistSpl] = CardinalSpline(lag,c_pt,s)
HistSpl = zeros(lag,length(c_pt));
%for each 1 ms timepoint, calculate the corresponding row of the glm input matrix
for i=1:lag
nearest_c_pt_index = max(find(c_pt<i));
nearest_c_pt_time = c_pt(nearest_c_pt_index);
next_c_pt_time = c_pt(nearest_c_pt_index+1);... |
044965a2cbcd855bf2975329b6f7cafad3d34b46ad1f36a7b08dbc7c2df61af5 | MATLAB | 895 | 29 | Files = dir(['G:\My Drive\Hannah''s Server Data\1_Hannah_Payne\magmouse\data', '\**\*']);
freeFiles = contains({Files.name}, {'free'});
freeFiles = Files(freeFiles);
freeFiles = freeFiles(contains({freeFiles.name}, '.smr'));
for i = 1:size(freeFiles, 1)
disp(freeFiles(i).name)
name = freeFiles(i).name;
... |
378543a76dc34378ea2280420fa677ef1183881994da5f36ce2be53996537c48 | MATLAB | 895 | 28 | function [params, beta] = beta_tanh(params, state, denf)
% Local spectral shift function for denoise_tanh denoising function.
% [s_new, params] = beta_tanh(params, state, s)
% params Function specific modifiable parameters
% state DSS algorithm state
% denf Tanh denoising function
% beta Deno... |
3c110dc4c31b5195a09d41e9364fbbd7582a36a6c473516d6134681f4606aca9 | MATLAB | 895 | 41 | %% diff between str connectivity with DTI fiber number (> 0 and =< 0)
%% para
path = pwd;
load('unrelated_sub_matrix_DTI.mat')
DTI_data = DTI_matrix;
Type = {'DBM','VBM'};
cd ..
load('node_name.mat')
roi_num = 48;
DTI_thr = 0;
p_fdr = 0.05;
results = struct;
%% cal
for itype = 1:length(Type)
load(['unrelated... |
4cab0ba9770dfd8df1960f21d5dde6a15191b4a63dd696da0bef9f8e39163ae5 | MATLAB | 895 | 23 | % VL_IRODR Inverse Rodrigues' formula
% OM = VL_IRODR(R) where R is a rotation matrix computes the the
% inverse Rodrigues' formula of om, returning the rotation matrix R
% = dehat(Logm(OM)).
%
% [OM,DOM] = VL_IRODR(R) computes also the derivative of the Rodrigues'
% formula. In matrix notation this is the e... |
d950d93635841d9a274a8338d437272bf2f7deeacb7accdd2f2e8d9c20f02ead | MATLAB | 895 | 28 | function [cci] = ml_cai_estimate_spikes_indices(trace_raw)
% cci are the spike indices into trace_raw
mstd = movstd(trace_raw, 7);
x = linspace(0, max(mstd), 1000);
mmstd = mstd; % lognfit can't use values of 0
mmstd(mmstd <= 0) = [];
pt = prctile(x, 50); % 75 was last good value used
... |
f45a4689d5f00b817439b0530369abf974a936840e01b19790144db4cc199358 | MATLAB | 895 | 21 | function mlgp_compute_bfo_90(obj, session)
outputFolder = fullfile(session.getAnalysisDirectory(), obj.Config.best_fit_orientations.outputFolder);
rotDeg = 90;
numContexts = obj.Experiment.getNumContexts();
mirrorContexts = zeros(1,numContexts); % Set entry to 1 to mirror the context
%mirrorC... |
1a70383997545e6c311a1983174008d1046614d2198bf00e00ecad32f94ad22d | MATLAB | 896 | 27 | function hBlobs = RecreateBlobHierarchy(blobs, hierarchy)
% [blobs hierarchy] = RecreateBlobHierarchy(blobs, hierarchy)
%
% Recreates the hierarchical grouping using the starting blobs and the
% resulting hierarchy. This allows one to save the grouping using
% relatively small disk space while still being able t... |
c04f777cd1ca6ebf3fb1a680c965301da5868bfab6ddfd53f6ff9d4e7188a78f | MATLAB | 896 | 19 | %----FUNCTION:
% extract statistical color features (mean and standard deviation) from various of color spaces (RGB, HSV, LAB, Opponent color space)
function [colorArr_c, colorArr_s] = sp_color_grid_cs(chns, grid_x, grid_y, patch_size, surrWidth)
nPatch = numel(grid_x);
colorArr_c = zeros(nPatch, 24);
colorArr_s... |
c6d9a4722f51b6afdfd180a0ad8b3e5737195b97df4be03b46b16ab2e3a95ec0 | MATLAB | 896 | 30 | function [new_matrix] = remap_matrix(matrix,idx_map,noselfconnections)
% This function remaps the matrix given the new indices in idx_map
[n_nodes,~]=size(matrix);
if n_nodes~=length(idx_map)
error("The length of the mapping vector must be equal to the number of nodes of the original matrix.")
end
n_newnodes=len... |
e2a0e0c6619e8643b732127b5256b01879b5c8078d7f7d86ad5bd65aa982bcec | MATLAB | 896 | 31 | function [gamma, beta] = getCenterFreq(signal)
%GETCENTERFREQ get the center frequency of gamma oscillation, and beta
%oscillation if exist
% Detailed explanation goes here
[pks,locs] = findpeaks(signal);
if length(pks) < 3
gamma = 0; beta = 0;
else
mark1 = [pks(end-2), locs(end-2... |
18fee99e95a006aa3238ef6aba78fc235eb4aca11d6fba5d5f9df4b9a70c44aa | MATLAB | 897 | 22 |
function [Spikes, LFP, ThetaR, ThetaL, Nose_x, Nose_y, Nose_s, Orient,FPS] = Ehud_getSpikes(mouse,date,movie,firstTracked, lastTracked);
% You'll need to chance the drive, but outside of that, the path should be
% correct.
% The 'mouse' and 'date' should be entered as strings. So, the function
% should look l... |
876a783f418dfa2b0e27b550eee32416b7f0fa6f613f18565033829fe674005d | MATLAB | 897 | 32 | function avi_to_tiff(input_path, output_path, ROI)
%AVI_TO_TIFF 此处显示有关此函数的摘要
% 此处显示详细说明
vidObj = VideoReader(input_path);
ROI = [350 450 1900 2050];
width = ROI(4) - ROI(2) + 1;
height = ROI(3) - ROI(1) + 1;
frameNumber = vidObj.NumFrames;
stack = zeros(height, width, frameNumber, 'uint8');
... |
5ee2782bab6a9a9082f8857fd3220c0f68f8b8da903835a95ea0783cd8be45cc | MATLAB | 898 | 44 | function [all_cellocs,cell_stat,redcell_idx]= get_stat(Fall,redcell_idx)
% objective: get 512x512xnumcells matrix with each of the soma-masks for
% the cells
stat=Fall.stat;
iscell=Fall.iscell;
cell_stat=stat(iscell(:,1)==1); % reduce stat to only iscells
redcell_idx=redcell_idx(iscell(:,1)==1);
%%
numcells=... |
91c09afc54aa52420f979de459569f3059e28528f04583a08dfb0893828afb60 | MATLAB | 898 | 25 | function [isibin, isiwin, ylim, fs, cancelFlag] = uigetISIinfo()
%
% by Michela Chiappalone (14 Marzo 2006)
% modified by Noriaki (9 giugno 2006)
cancelFlag = 0;
fs = [];
isibin = [];
isiwin = [];
ylim = [];
PopupPrompt = {'ISI bin [msec]', 'ISI window [msec]', 'Ylim [0,1]', 'Sampling frequen... |
acc7c25786f01b2fe309db9c07dffd190f75144fa8f8404c73db0f92c860d994 | MATLAB | 898 | 31 | function angles = ml_alg_center_out_angle_continuous_circle_bias(nSamples)
% This computes the samples of center out angles when points are
% picked uniformly at random from rectangular maps of size nX by nY
centerX = 0;
centerY = 0;
angles = nan(1, nSamples);
[x1,y1] = gen_samples_uniform_dis... |
4206506efc208c57c7c870d1d0996e8364673779937b1112ae0f184833de6b79 | MATLAB | 899 | 31 | % rmRefrPrdThreshCross.m
%
% Helper function called by detectSpikes() that removes threshold crossings
% that occur within refractory period.
%
% INPUTS:
% threshCrossInd - indicies of threshold crossings
% refrPrd - refractory period length, in samples
%
% OUTPUTS:
% corrThreshCrossInd - indicies of threshold ... |
9eea41103db3125c5ecc65d6faa71d7a6a9a908c4743f719adac8bbcfef7bb97 | MATLAB | 901 | 39 | function ret=SONChanDelete(varargin)
% SONCHANDELETE deletes a channel from a SON file
% RET=SONCHANDELETE(FH, CHAN {,QUERY})
% FH = file handle
% CHAN = channel number 0 to SONMAXCHANS-1
% QUERY (if present) = 0 Do not query
% <> 0 Query before deleting (default)... |
ec29fc8892d595746a687d0ed1770b169a18ac04419173b52b2a68ad07692c9c | MATLAB | 901 | 27 | function value = read_power_2014_FD_only(motion_file,FD_threshold,key)
if FD_threshold > 0.5
disp(['Input FD threshold (' num2str(FD_threshold) ') is greater than the maximum tested against (0.5)'])
return
end
load(motion_file);
motion_struct = motion_data{floor(100*FD_threshold)+1};
if strcmp(key,'format_st... |
7956bcc545850329a6c3f9932bd0b38681aab55ca9824347b176efcd6e83c995 | MATLAB | 904 | 24 | function state = dss_preprocess(X, state)
% Preprocess data
% Copyright (C) 2004, 2005 DSS MATLAB package team (dss@cis.hut.fi).
% Distributed by Laboratory of Computer and Information Science,
% Helsinki University of Technology. http://www.cis.hut.fi/projects/dss/.
% $Id: dss_preprocess.m 8776 2013-11-14 09:04:48Z ... |
90d5bdf6602f6f1c205de004c7a5d38e491a8bda0806d2c70a9317757769182e | MATLAB | 904 | 31 | function out = HPF(in, fSample, fCutoff)
% out = HPF(in, fSample, fCutoff)
%
% Implements a one-pole high-pass filter on vector 'in'.
% fSample = sample rate of data (in Hz or Samples/sec)
% fCutoff = high-pass filter cutoff frequency (in Hz)
%
% Example: If neural data was sampled at 30 kSamples/sec
% and you wish t... |
13bc0d3b8dd792e3a3d3e246641304086d0b9432eb7dde67088ff3dc8dedb706 | MATLAB | 905 | 16 | function Files = getFiles(base_folder,keystr,keystrnot);
%keystr = {base_folder;'Movie';'to'}; % AND function of all items (need all to include)
%if nargin<2, keystr = {'Movie';'to'}; end; % AND function of all items (need all to include)
%if nargin<2, keystr = {'Movie';'to';'small'}; end; % (Ehud added Jan 1 2... |
25e206f8a854a8d1d131556ec3472b1fffb6118b8bf58c1fe3f747bb6daeb066 | MATLAB | 905 | 36 | %
% Compute a spectral distribution.
%
% PARAMETERS
% $network Network
% $decomposition Decomposition type
%
% INPUT
% dat/data.$network.mat
% dat/meansi.$network.mat
%
% OUTPUT
% dat/distr.$decomposition.$network
% One line per bin. Three columns: count, begin end.
% For time networks, all columns are double... |
6a8a95523de745d6b8cce57e710c1edfd0701073b9a00f9279a8b4be3283c6c0 | MATLAB | 905 | 26 | function [isartifact, maxdelta] = deltaV(eeg,threshold,framesinwindow)
%DELTAV Takes a signal and tells you whether there are any amplitude
%changes greater than the selected maxdelta, within a given time range.
%Used as one method of detecting suspected artefact.
% INPUTS
% eeg: signal to check.
% threshold: maximum p... |
daabe28cc61c9f46a18336eff3d01c819c2afd6c19258122f7626131ea4f2e4b | MATLAB | 905 | 38 | function rP = calcEyeRadius(results, thetadeg)
% Give theta in degreess pleass
theta = thetadeg;
p1 = results.pupil1(:,1);
p2 = results.pupil2(:,1);
c1 = results.cr1a(:,1);
c2 = results.cr2b(:,1);
%% Calculate distance between pupil and CR
d1 = p1 - c1;
d2 = p2 - c2;
% Calculate pupil radius using approxiamate meth... |
e4521c1e9825ec224066b99e5f43e8e155a4a94937a20bfafed91c63fa188479 | MATLAB | 905 | 24 | %% Num cells
data_path = '/Users/celia/Documents/two_context_data';
tetout = load(fullfile(data_path, 'tetrodes_20220316_100902_FINAL/analysis_results.mat'));
calout = load(fullfile(data_path, 'calcium_20220516_170618/analysis_results.mat'));
fig2tet = reformatTbl(tetout.analysisResults.NormalBFO90);
fig2cal = reform... |
8e113d5c5d0dee6daf0e04864515b44ba2bd13b3fdd292ce59ec9d2f2bd82240 | MATLAB | 906 | 30 | function [data,FileName,PathName] = open_nii(file)
% OPEN_NII opens files with .nii format using the NifTI Toolbox
% (nifti.nimh.nih.gov/nifti-1/). Please download and include it in the
% path.
%
% [DATA,FILENAME,PATHNAME] = OPEN_NII(FILE) outputs the data DATA of the FILE
% with .nii format and provides the fil... |
500a5c05b53c032c55b8316daf3b8839fea700aa4fe10c3d838b06d48e350f03 | MATLAB | 908 | 26 | function ret=SONWriteEventBlock(fh, chan, buffer, count)
% SONWRITEEVENTBLOCK writes data to an ADC channel
%
% RET=SONWRITEEVENTBLOCK(FH, CHAN, BUFFER, COUNT)
% INPUTS: FH the SON file handle
% CHAN the target channel
% BUFFER the data to be written containing int32 timestamps
% COUNT t... |
d7ba62bf96491a58e281c4b1c04e4e91179afced0d4d6f8cf50163d10f85f10d | MATLAB | 908 | 32 | %
% The label associated with a measure. The content of the returned
% struct is used in various places as the canonical list of measures to
% use.
%
% RESULT
% labels Struct of labels by measure name
% labels_short Short names
%
function [labels labels_short] = get_labels_measure()
labels = struct();
% Indivi... |
b0209855355100d22d003a38d8559cbc1fae6372d5ed7a15afd21c571055ea3c | MATLAB | 909 | 31 | function [S] = dss_2dmask(X, mask, params)
% Perform masked DSS on 2d signals.
% [S] = dss_2dmask(X, mask, params)
% X Mixed 2d signals as 3d array, 1st dimension as signal index
% mask 2d denoising mask
% params Optional DSS algorithm parameters
% S Result 2d source signal estimates
%
% C... |
646b592d546c4d8fad38b373b3b9055bd0db6792e08d223817376144d3b0a58e | MATLAB | 911 | 20 | function mltp_compute_bfo_180(obj, session)
% We don't need the shrunk data.
outputFolder = fullfile(session.getAnalysisDirectory(), obj.Config.best_fit_orientations.outputFolder);
rotDeg = 180;
numContexts = obj.Experiment.getNumContexts();
mirrorContexts = zeros(1, numContexts); % Set entry to 1 ... |
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