sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a71f81e547865dfe1fcd8ea4736d5210d66196e5f372845d05cb97fd526276b1 | MATLAB | 519 | 21 | function g = netgrad(w, net, x, t)
%NETGRAD Evaluate network error gradient for generic optimizers
%
% Description
%
% G = NETGRAD(W, NET, X, T) takes a weight vector W and a network data
% structure NET, together with the matrix X of input vectors and the
% matrix T of target vectors, and returns the gradient of the e... |
12c47bef450e65db2fbdea64b7b0d14efa774e4885d822a49ea1674ba8d730d8 | MATLAB | 520 | 15 | function ep = LoadEpochFromDatSeg(ix)
% ep = LoadEpochFromDatSeg(ix)
if exist('RecordingDuration.txt','file')
datSegments = load('RecordingDuration.txt');
datSegments = intervalSet([0;cumsum(datSegments(1:end-1))]',[cumsum(datSegments)-1]);
elseif exist('DatSegments.txt','file')
datSegments = load('Da... |
03f1870ea7a011a5995a5138882ec7c083a6ee65898fe978968f7424668a1871 | MATLAB | 522 | 14 | % load all analyzed ccstep files and create analysis overviews for
% inspection
load('D:\Morphys\Data\Labbooks\NAG\MetadataABF\DataSummaryNAG2.mat')
filelist=squeeze(struct2cell(Summary));
filelist=filelist(1,:)';
filelist=cellfun(@(x) strsplit(x, '.'), filelist, 'UniformOutput', false);
filelist=cellfun(@(x) x{1}, fi... |
82bc6d271abe414da1c12f37900c187d125f1eab050a7afe3712137ed4ee6057 | MATLAB | 522 | 12 | function checked = check_software_afni(software)
if strcmpi(software(1:4),'afni')
if ~isempty(which('BrikInfo.m'))
checked = true;
else
error('afni_matlab is not on your Matlab path! Please add a version of afni_matlab (http://afni.nimh.nih.gov/afni/matlab/) to your path using e.g. addpath or c... |
b108b68fd75d3274db586a30ed0cb6c67365ad5d4701bae921306d826e1a6d98 | MATLAB | 524 | 22 | function raster = Raster(S,center,TStart,TEnd, varargin)
opt_varargin = varargin;
defined_options = dictArray({ { 'BinSize', {10, {'numeric'}}},
});
getOpt;
is = intervalSet(Range(center)+TStart, Range(center)+TEnd);
sweeps = intervalSplit(S, is, 'OffsetStart', TStart);
raster = z... |
002e66133180133f3b1db9f7be8bbd43c0de2cbf826fc1a4f1d6e1eae07e1f8c | MATLAB | 525 | 27 | function pv=plot_pValLine(X1,X2,Y,Txt_dist,pVal)
%plot_pValLine
pv=plot([X1 X2],[Y Y],'color','k','linewidth',2); hold on;
th=.2;
c=1;
% text(mean([X1,X2])-th,Y+Txt_dist,['p=',num2str(round(pVal,3))],'fontsize',10);
pmarks={'n.s.','*','**','***'};
if pVal>.05
pix=1;
c=2.2;
elseif pVal<=.05 & p... |
85da8f82e4aa2b341bb99fc75561ce4a44d970b56e769838248b51cceefe1746 | MATLAB | 526 | 23 | cd(fullfile(pwd,'..','genmodel'));
addpath(fullfile(pwd,'..','esns'));
load ESN
load amateur_postags possents
minout = 1e-3;
nrsize = length(Win);
nrnet = size(Win{1},3);
nrtest = length(possents);
rawsurp_esn = cell(nrtest,nrnet);
for n = 1:nrsize
for i = 1:nrnet
disp([n i]);
... |
935bf597704d63e6450e4bdc5ebb1c3cc9d99ce2388f92460c4d0ad849335017 | MATLAB | 526 | 8 | function [CurrentSlice] = RefreshImageBC(CurrentSlice,ContrastSliderValue,BrightnessSliderValue)
%REFRESHIMAGEBC Scales the image intensity to [0 1] and applies contrast
%and brightness
% Takes current slice matrix and brightness and contrast scalars as
% arguments
CurrentSlice = (CurrentSlice - min(CurrentSlic... |
eca0af2ddd6b515f4835a34d53b934c3817dd8dad12b4dde7f8c30d8553ab2e6 | MATLAB | 529 | 19 | function wp = PTweight(p,type,varargin)
% probability weighting function of prospect theory
for i = 1:2:length(varargin)
eval([varargin{i}(1),'=',num2str(varargin{i+1}),';'])
end
switch type
case 'Tversky'
% Tversky & Kahneman 1992
wp = (p.^g)./((p.^g+(1-p).^g).^(1/g));
case 'Goldstein'
... |
21b3c8476c2608d550c2a06293489e475bea3cfee704cf282daf5ded89ffae2a | MATLAB | 530 | 19 | function C=correlation_matrix_gf(n,final_time)
nen=numel(n);
signals{nen,nen}=0;
for i=1:nen
signal = n(i).coords(100:final_time,5); % IMPORTANTE. PER I PRIMI VA A 2400
signal = signal - imgaussfilt(signal,80);
signals{i} = signal;
end
for i=1:nen
for j=i+1:nen
signal1 = signals{i};
... |
60bc3845405f8f335487c1600501083245566f12302e07f0e801c028518ec5b5 | MATLAB | 530 | 22 | function start=findstart(indicator,time)
% generic funcion to find the start in a trace
% SYNOPSIS
% function start=findstart(indicator,time)
% DESCRIPTION
% indicator: a logical vector if the measurement is above threshold or not.
% time number of times, that the indicator has to be one
ind=find(indicato... |
91fbe0754ea66d5969bc39500958228358cc2cace658c578b49cee23c434b3d4 | MATLAB | 530 | 29 | function hdScore = HDScore(h,peak,B)
% USAGE
% HDScore = HDScore(S,peak,B)
%Adrien Peyrache, 2016
hdScore = zeros(size(h,2),1);
for c=1:size(h,2)
totFR = sum(h(:,c));
[~,ix] = min(abs(B-peak(c)));
ix = ix(1);
ii = 0;
ixA = ix;
while sum(h(ixA,c))<totFR/2
i... |
d9f3c10f15ed1d545797a2925d2ab8db5685ec0ce7d9df66802031979adf16bf | MATLAB | 532 | 24 | function img = imReColor(img, oldColor, newColor)
% Change one color in image to a new one. works on RGB colors
if (size(img,3) == 3)
r = img(:,:,1);
g = img(:,:,2);
b = img(:,:,3);
elseif (size(img,3) == 1) %Gray scale
r = img(:,:,1);
g = r;
b = r;
else
error('Don''t know what... |
dc620d088bfa98a55c43e0939f2bd36d899ea2fc9bb16722220e90b3af6da471 | MATLAB | 532 | 28 | function v = subsref(O, S)
% v = subsref(O, S) deals with { } references
%
% B = O{k} returns the value corresponding to key k, error if not
% existing key
% copyright (c) 2004 Francesco P. Battaglia
% This software is released under the GNU GPL
% www.gnu.org/copyleft/gpl.html
if ~strcmp(S.type, '{}')
erro... |
e0e84d9a55273baae19297ddb1971a780db53728a667a14895a2a0a9f1253e6b | MATLAB | 532 | 21 | function [rightEp,leftEp] = LoadLinearTrackRuns(fbasename)
[dir f1 f2] = fileparts(fbasename);
fbasename = [f1 f2];
fbasename = [dir filesep fbasename filesep fbasename];
Fs = 1250/32;
try
load([fbasename '.whlL.mat']);
ix = ismember(Lwhl.cont,'right medium');
t = Lwhl.Time{ix};
rightEp = intervalSe... |
53378079ed21610c8acde90189ab7287203d42745de4361ef7c18db893164f75 | MATLAB | 534 | 19 | % output = transres_ninputdim(decoding_out, chancelevel, cfg, data, varargin)
%
% This function returns the number of input dimensions (e.g. voxels of a
% searchlight or ROI) from the last decoding.
%
% To use it, use
%
% cfg.results.output = {'ninputdim'}
%
% The number is retrieved from the dimensionality of the i... |
b517248a9905196819db039516ffb25be310991dded4d551cac6955b186ce634 | MATLAB | 534 | 23 | function plottracks_s_2
global display_matrix
global ax
global text_spot_num
global framenum
global plotted_neurons
global colormap_s
a=1;
try
delete(plotted_neurons);
end
plotted_neurons=[];
display_vector=squeeze(display_matrix(:,framenum,1:2)); % 2D
for i=1:size(display_vector)
hold on
plo... |
86147e1fa637c43bb7e662715e09d30ad1d2b1a415b7892c8e499124b78a54da | MATLAB | 535 | 23 | function [fractional_occupancy, mean_life, Counters] = summary_stats_fast(z,stateSet)
K = numel(stateSet);
T = length(z);
fractional_occupancy = zeros(1,K);
mean_life = zeros(1,K);
Counters = zeros(1,K);
for i = 1:K
k = stateSet(i);
ix = find(z == k);
if ~isempty(ix)
fractional_occupancy(i) = lengt... |
04fdd02495ce4cca063bdc349589e165f773c7919057546ab801bc8290dcfb16 | MATLAB | 536 | 23 | function SpatBits=SpatialInfo_1D(pf,occ)
% USAGE
% SpatBits=SpatialInfo(pf,occ)
%
% compute for each cells the number of spatial bits per spikes
%
% INPUT:
% pf: placeField (In Hz per pixel), organized oolumnwise if multiple
% occ: Occupancy probability
% OUTPUT:
% SpatBits: the spatial information (i... |
1ea8dae47ce42f37e4dadd602eeb847ce418af11e5529ec6240683114c1f2e5b | MATLAB | 536 | 28 | function circlePlot(M, x, y, cmap)
if length(x) ~= size(M, 1) | length(y) ~= size(M,1) | length(x) ~= length(y)
error('x and y should have the same length as dimensions of M');
end
mx = max(M);
mn = min(M);
ix = (M-mn)/(mx-mn);
colIx = ceil(63*ix+1);
colYT=mn;
for i=1:4
colYT = [colYT mn+(mx-mn)*i/4];
end
hold on... |
54217d2229144a91094a5f32bfcf482dbaa76d0ae0c2ba174b2faaa04119a178 | MATLAB | 536 | 20 | function r = MD_unirnd(a, b, N)
% _
% Random Numbers from a Continuous Uniform Distribution
% FORMAT r = MD_unirnd(a, b, N)
%
% a - the lower end of the uniform distribution
% b - the upper end of the uniform distribution
% N - the number of samples to be drawn
%
% r - an N x 1 vector of uniform rand... |
716d71e2e8ab267873fc46ec8397d08facee590e8e4815bb518d7426f62cd473 | MATLAB | 536 | 22 | function trial_dat = eye_extract_trials(run_dat, p)
% Get number of timepoints
n_tp = size(run_dat,1)/p.n_trials;
trial_dat = [];
% For each run ...
for i_run = 1:size(run_dat, 3)
% For each trial ...
for i_trial = 1:p.n_trials
% ... get the corresponding gaze data and append it to the
% temp... |
2d2346aecbd2d68eb4571a41295b2bf7597990d43c2c390026fefbc5ad7610e0 | MATLAB | 537 | 26 | function r = gitRevert(repo)
r = -1;
if ~exist('repo','var') || isempty(repo)
repo = pwd;
end
repoFull = filesepStandard_startup(repo,'full');
currdir = pwd;
ii = 1;
cmds{ii,1} = sprintf('cd %s', repoFull); ii = ii+1;
cmds{ii,1} = sprintf('git checkout %s', repoFull); ii = ii+1;
cmds{ii,1} = sprintf('git clean -fd... |
7e5b74403b6a3d7fd5e36a169f56dfc91f8a33ec7d7fcbb0a12bbab026426b77 | MATLAB | 539 | 20 | function [Sim, mphi] = autoregressionSim(Sig)
% input Sig = [repeat time]
nrep = size(Sig, 1);
n = size(Sig, 2);
Sim = zeros(nrep, n);
phi = nan(nrep, 1);
for i = 1:nrep
a = Sig(i, :);
X = [ones(n-1, 1) a(1:end-1)'];
y = a(2:end)';
beta_hat = X \ y;
... |
c087d3b91f0f17a2a5737d46dc326b2e76dbd896fc94d9447c0059c1526000d9 | MATLAB | 539 | 25 | function [R,tau] = mcholinc(H,verbose)
% Computes Cholesky of H+tau*I, for suitably large tau that matrix is pd
p = size(H,1);
beta = norm(H,'fro');
if min(diag(H)) > 1e-12
tau = 0;
else
if verbose
fprintf('Small Value on Diagonal, Adjusting Hessian\n');
end
tau = max(beta/2,1e-12);
end
while ... |
5b420b7ff3799aa4721581234e2a0fc0e82b43374d24ef896975c9326a3d3161 | MATLAB | 540 | 17 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Authors : CHATENET Louis
% Modified : Khoyratee Farad
% Creation : 30/05/2018
% Modified : 26/10/2018
% Version : V5.0
%
% Description : Neuotransmitter concentration calculation (T)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
43488030fd1686b8132d37542725429442bec1bdaf81338aa2a3f71d8ef46816 | MATLAB | 541 | 16 | function [sizeLambda, sizeX, sizeY, AScanAvgN, BScanAvgN] = yOCTLoadInterfFromFile_DataSizing(dimensions)
%This function extract sizing of the data from the dimensions structure
sizeLambda = length(dimensions.lambda.values);
sizeX = length(dimensions.x.index);
sizeY = length(dimensions.y.index);
if isfield(dimen... |
49151c8ea388f081d78a79bd04f7663aea2906655b5cea7b7689b79ef63e3053 | MATLAB | 542 | 21 | function y = solveWithIter(A, b, iter, breakOnConverge, x0)
tresh = 1e-6;
N = size(A, 1);
y = zeros(N, iter);
y(:,1) = x0;
for i = 2:iter
h = A * y(:, i-1) + b;
y(:, i) = activation(h);
if i>breakOnConverge
converged = sum(abs(y(:, i-1)-y(:,i)))<tresh; %expensive,... |
744622d06cfd3f31b422a3872f848113c356fd0f0bf8b17c8a53a119f01fbfb0 | MATLAB | 542 | 25 | function m = bmean(x, dim, k)
% BMEAN computes a skipped-estimator of location based on computing the
% mean after removal of outliers, according to the boxplot rule.
%
% Use as
% m = bmean(x, dim, k)
%
% Input arguments:
%
% x = data matrix
% dim = scalar, dimension along which to operate, default: first non-... |
bdf4a952ac6a19c6c4ea4f1adae2edd8691a621f4292f81145679ea6da0b28d0 | MATLAB | 542 | 12 | function [s] = std(x, varargin)
% [S] = STD(X, NORMALIZEFLAG, DIM, FLAG) computes the standard deviation
% across all cells in x along the dimension dim. Normalizeflag = 1 normalizes
% by N, normalizeflag = [] or 0 normalizes by N-1.
%
% X should be an linear cell-array of matrices for which the size in at
% least ... |
5c18b0c1db30fac01228d929d5c226e799d4f2770cd087ca95e779361fe0e9de | MATLAB | 544 | 23 | % *WAVE*
%
% PLOT VECTOR FIELD DISTRIBUTION unit test for the vector field plotting
% functions
% 12 january 2016
%
clear all; clc %#ok<CLSCR>
% parameters
rotation_sign = -1; alpha = 1;
center_point = [ 4 4 ];
% generate coordinate system
[XX,YY] = meshgrid( 1:8, 1:8 );
[X,Y] = meshgrid( (1:8)-center... |
549a34f90dba46c871128360752854f8a0da6ee42d9b29ebba942d3b03d8ccf9 | MATLAB | 545 | 21 | function gapSeries = gap2Series(gap, length)
%GAP2SERIES convert gaps to series representation
%
% E.g.
% For a signal of length 10
% gap was defined from 3 to 6 (gap = [3 6])
% then, GapSeries = [1 1 0 0 0 0 1 1 1 1];
%
% $Author: Peng Li
% Division of Sleep Medicine
% Brigham ... |
81b3fbdd2026a07f298f42841d3ad992993cb61268a404e3c67ada9e8ae35ed4 | MATLAB | 547 | 23 | % unit test of mv_stat_activation_pattern
rng(42)
tol = 10e-10;
% Get Gaussian data
nsamples = 200;
nfeatures = 90;
nclasses = 2;
[X,clabel] = simulate_gaussian_data(nsamples, nfeatures, nclasses, [], [], 0);
% Covariance matrix
Sw= nsamples/2 * cov(X(clabel==1,:),1) + nsamples/2 * cov(X(clabel==2,:),1);
%% if PCA ... |
89abc4777fc290b362fdecff59e9128a088bd358a0c88fac4aaaa010fcb3a0f6 | MATLAB | 549 | 17 | %determines the timestamp for all trials specified with inds from the event file
%
%inds is onset of stimulus
%inds+1 is offset of stimulus
%
%
%before/after Offset is in ms. it determines the length of the trial, relative to the timepoint specified by ind
%
%urut/jan07
% SSullivan july/17 slightly modified for SB anal... |
02977653fd46eb02091a86a6246cfd832aacab89c80c801148843dea354b36f5 | MATLAB | 550 | 20 | function [xFil1, yFil1, xFil2, yFil2] = DecomposedMexiHat(hatRadius)
cylRadiusFac = 3;
kernelSize = cylRadiusFac*hatRadius;
x = -kernelSize:kernelSize;
y = -kernelSize:kernelSize;
sigR = hatRadius/sqrt(2);
Gx = exp(-x.*x/2/sigR/sigR); Gx = Gx/sum(Gx(:));
Gy = exp(-y.*y/2/sigR/sigR); Gy = Gy/sum(Gy(:));
Fx = (1... |
4e215af31866a2e4cb70986cbde7af7d7217044a842478febaf3b1aed89fe3c1 | MATLAB | 550 | 21 | function [stack, stackinfo] = stackRead(stackpath)
%
% [stack, stackinfo] = stackRead(stackpath)
%
% Wrapper function for Fran�ois Nedelec's tiffread.m
% This works on STK files as well as multipage TIFFs.
% Outputs:
%
% stack : 3D data array
% stackinfo : Any other information included in original file
%
% Fra... |
71ce2098b25bdcda5fc765d1c8b9998030120f2faa0154d82424e3c8a3a56416 | MATLAB | 550 | 15 | %% Distributions "Over Time" Script
% The goal of this script is to create "over time" distributions of the
% flow directions.
%
% This script is designed to be executed AFTER "ControlScript" has been
% fully executed at least once. Thereafter, the only definitions needed
% are in the pre-amble include "fileParams... |
8b04897307f956cba540d91a88b18e99f22695699c8fd92906eb3c994388e7af | MATLAB | 550 | 33 | function [ets,time,f,S] = ETSpecgram(eeg,evt,nbBins,fq,movingwin);
rg = Range(eeg,'s');
deeg = Data(eeg);
deeg = WhitenSignal(deeg);
% fq = [55 100];
params.Fs = 1/median(diff(rg));
params.fpass = fq;
params.err = [2, 0.95];
params.trialave = 0;
params.pad = 16;
params.tapers = [3 5];
[S,t,f]=mtspecgramc(deeg,movi... |
9abc204c3e3c0593791f18590ee88f4ba19f87511f5ebf1e262e9afc4480249a | MATLAB | 550 | 12 | function [gx] = g_Hampton_2games(x,P,u,in)
game1 = in.game1; % player's payoff table
game2 = in.game2; % other's payoff table
player = in.player; % agent's role
Po_game1 = VBA_sigmoid(x(1)); % P(o=1|game1)
Po_game2 = VBA_sigmoid(x(2)); % P(o=1|game2)
Po_game = VBA_sigmoid(x(3)); % P(game1)
DV_game1 = fplayer(P... |
c40d6b5857bc13c0480d94e407c0852e2b1d6f0243bab496308102bf748eca83 | MATLAB | 550 | 21 | function SegSeries = seg2Series(seg, length)
%SEG2SERIES convert segments to series representation
%
% E.g.
% For a signal of length 10
% seg was defined from 3 to 6 (seg = [3 6])
% then, SegSeries = [0 0 1 1 1 1 0 0 0 0];
%
% $Author: Peng Li
% Division of Sleep Medicine
% Brig... |
cf0ade72c140ec102cf67d5cd58a6cf68a7eeacc730f254b250e97e2cca72ad4 | MATLAB | 550 | 21 | function [d] = det4x4(x)
%computes determinant of matrix x, using explicit analytic definition if
%size(x,1) == 4, otherwise use matlab det-function
siz = size(x);
if all(siz(1:2)<2)
error('size of x should be 4x4xsomethingelse');
elseif all(siz(1:2)==4)
d = x(1,1,:,:).*det3x3(x(2:4,2:4, :,:)) - ...
x(1,... |
ec61b00ce334eea0b06e4d722e39c06071ad8496678ce65555801680767e4cad | MATLAB | 550 | 22 | function [errmsgs warnmsgs] = unit_and_bool_selectors()
% [ERRMSGS WARNMSGS] = UNIT_AND_BOOL_SELECTORS()
errmsgs = {};
warnmsgs = {};
a = round(rand(1,100));
b = round(rand(1,100));
c = round(rand(1,100));
subj = init_subj('unit_and_bool_selectors','');
subj = initset_object(subj,'selector','a',a);
subj = initset_... |
664fc3470a5d87b0f7d8558a223da31121cdb8ac0791125de81637c07dac649d | MATLAB | 551 | 12 | function [s] = nanstd(x, varargin)
% [S] = NANSTD(X, NORMALIZEFLAG, DIM, FLAG) computes the standard deviation
% across all cells in x along the dimension dim. Normalizeflag = 1 normalizes
% by N, normalizeflag = [] or 0 normalizes by N-1.
%
% X should be an linear cell-array of matrices for which the size in at
% ... |
0ae6c657a178c53f9a2a7c1ff5a8324ec1dc54f37ff50e664de99668c048ea9b | MATLAB | 553 | 16 | function Y=acceleration_discr(A,sigma)
% VELOCITY: calculates the velocity for one axis
% Synopsis
% v=acceleration_discr(A,sigma)
% Description
% A is a vector of position data (one or multi-dimensional)
% (use cleandata first!)
% if sigma is given, the data will be smoothed with
% a gaussian kernel (SD=s... |
90d803d87b7cd7f59bb9292ace665b4261d9560b511da96baa1e372ff457c0e0 | MATLAB | 553 | 19 | function grad = solveWithIterBackProp(A, gradIn, xRaw, iter)
AT = A';
grad = zeros(size(gradIn));
deltaX = deltaActivation(xRaw);
grad = zeros(length(gradIn), iter);
for i = 2:iter
grad(:, i) = deltaX .* (AT * grad(:, i-1) + gradIn);
grad(:, i) = gradCliping(grad(:, i));
end... |
5080d5f3b56ba7c07b0651edc73160e39d01ac35a10a790e4fc4f9de2fe92c4d | MATLAB | 554 | 28 | function O = del(O,k)
% D = del(D,k) deletes item with key k in dictArray D
%
% gives an error if k not present
% copyright (c) 2004 Francesco P. Battaglia
% This software is released under the GNU GPL
% www.gnu.org/copyleft/gpl.html
if O.keysReadOnly
error('Keys are not modifiable');
end
ix = key2id... |
588df05bf15bb88d0417d8c1ded2e50e7b0a66d489f1061ed644dc4c18131283 | MATLAB | 554 | 15 | function [n_cts, size_bins, dur_bins] = calculateJointHistogram(sizes, durations)
% This calls histcounts2 using bins for discrete data: bins are all unique
% sizes and durations from the observed data.
% set bins
dur_bins = unique(double(durations));
dur_edges = [dur_bins - 0.5 dur_bins(end)+0.5];
si... |
aadd8883524ea4d2d483df1cd7e8edf1ddf30edb05e2edde5548a19237c6eebf | MATLAB | 554 | 16 | function dat = filter_eye(dat, p)
% Filter the gaze data according to "Thielen, J., van Lier, R., & van
% Gerven, M. (2018). No evidence for confounding orientation-dependent
% fixational eye movements under baseline conditions. Scientific reports,
% 8(1), 1-10." using a low pass butterworth filter of 5th order with 1... |
c1603e800386b2b7cdcd2e5d13009b2847e3520332c20700c0987568b621c034 | MATLAB | 555 | 20 | %Returns the color the condition should be (visual is orange, audio is
%blue, audio-visual is green).
%2024/02/25
function line_color=condition_color(condition)
if iscell(condition)
condition=condition{:};
end
condition=regexprep(condition,'.+-','');
switch condition
case 'V'
... |
05fa915ed70f183e737c31d8cb7c0ecb96750c8bc534129b8338167eca2798ff | MATLAB | 556 | 15 | %
%reference timestamps to beginning of the trial
%
%periods: each row is one trial. 3 columns: trial nr, from, to.
%returns a cell array; each item contains the timestamps of one trial. the
%number of trials is equal to the number of rows in periods.
%
%urut/dec07
function trialsTimestamps = getRelativeTimestamps(time... |
392723ef84374e9a28a05de983de9cedf60a0da534b2f27595b78ae00ab8a042 | MATLAB | 556 | 16 | % This functions is depricated.
%
% Because this function does not print but displays the design, it is now
% called display_design(). Otherwise nothing changed.
%
% For convinience the function calls display_design(cfg) for you.
function table = print_design(cfg)
warning('print_design:deprecated', 'print_design() is... |
4b4a2b880fd2876e1d61d93c4cf66bc3bcb05c8ae7719d369183cf0580b27ae8 | MATLAB | 556 | 27 | function [gap, res, fmt] = calGap(actigraphy, epoch, quality)
%CALGAP calculate gap percentage from gap file
%
% GAP = CALGAP(ACTIGRAPHY, EPOCH, QUALITY)
%
% $Author: Peng Li
%
gapseries = ~quality;
if any(gapseries)
gap = DetConstantOne(gapseries);
else
gap = [];
end
% request res... |
4f864089e51299d7cc4f69f6ea9c27948dd416db5f505b282c4e94e6b6a183c8 | MATLAB | 556 | 13 | % output = transres_primal_SVM_weights_nobias(decoding_out, chancelevel, cfg, varargin)
%
% Deprecated function use which is directed to transres_SVM_weights
%
% See also transres_SVM_weights.m
%
% Martin, 2014-10-27
function output = transres_primal_SVM_weights_nobias(decoding_out, chancelevel, cfg, varargin)
wa... |
b20655fa2e8bd08157b1fdd956e19e4af2a475f99c949fb919e7e0309dacdc95 | MATLAB | 557 | 25 | % FIRFILT FIR filtering with zero phase distortion.
%
% matrix columns are filtered;
% output is a column vector / matrix.
% 19-Jul-02 ES
% 27-jan-03 zero phase lag
function Y = firfilt(x,W)
if all(size(W)>=2), error('window must be a vector'), end
if numel(x)==max(size(x... |
3f0e5cb4895f6265f7ce1effc0ba4d0a0c20fb99fca57619be24971907cd6a5d | MATLAB | 558 | 17 | function [c] = cols(X)
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the GPL. See http://www.csbmb.princeton.edu/mvpa for more
% information.
%
% The Princeton MVPA toolbox is available free and
% unsupported to those... |
5e357307132a0cd2124195175486609437f86b474953eb70ece4ecabacb12c20 | MATLAB | 558 | 18 | function [XrandS] = SR_create_CCinformed_surrogates(data,U,nSurr)
%% Create CC-informed graph signal surrogates by randomization of real eigenmodes Fourier coefficients
clear XrandS
X_hat_rand=zeros(size(data,1),size(data,2),size(data,3),nSurr);
for s=1:size(data,3)
X=data(:,:,s);
for n=1:nSurr
... |
642b80a6e8cc429795647abd5e50bb9da62b5f31a2e53ff7764d3b31bd3dd965 | MATLAB | 558 | 18 | function changeFolderName(subjectPath)
% This function renames a folder
% Written at April 17, 2020.
%% Input checks
if ~exist('subjectPath','var')
subjectPath = s3SubjectPath('01');
end
oldFolderName = awsModifyPathForCompetability([subjectPath '\Log\14 Image Pair Quality Control\']);
newFolderName = a... |
94f73e5afa6c31024d667a5d7c1560ec62abbcbb6123274558c1e1512d1623f0 | MATLAB | 558 | 17 | function [r] = rows(X)
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the GPL. See http://www.csbmb.princeton.edu/mvpa for more
% information.
%
% The Princeton MVPA toolbox is available free and
% unsupported to those... |
f8be7733ea3918b298980887b5ad0ffb712958bd1245762cbd6d8f8146c5ecd4 | MATLAB | 558 | 17 | %% Prepare Vidoe-based markers
%% extract video coding information from coded csv files
Extracting_video_coding_PT_EEG();
%% extract timing info from EEG and video coding and align them
Extracting_EEG_timingtest_PT_EEG();
%% Align EEG and video and create new video-based marker file
EEG_video_alignment_PT_E... |
42f574dd0e446f3de78f1961edbeaad4c3f7da2e866bf9b5dbff2cd3494673e2 | MATLAB | 559 | 17 | function model = ensemble_balance_train(labels_train,data_train,cfg)
switch lower(cfg.decoding.method)
case 'classification'
model = ens_bal_tr(labels_train,data_train,cfg);
case 'classification_kernel'
model = ens_bal_tr(labels_train,data_train,cfg);
ca... |
6ff019e15b3798fa015dad855c34ff734473c82bfeece878c08c886b819f9432 | MATLAB | 559 | 19 | function histogram_Jin(data, color, x_label, y_label, pic_title,output_path)
% h=histfit(data);
h=histogram(data,'LineWidth',2,'FaceColor',color./255);
xlabel(x_label);
ylabel(y_label);
title(pic_title);
set(gca,'FontSize',20,'LineWidth',3);
ymax_value=round(max(h.Values)+max(h.Values)./8);
ylim([0 ymax_value]);
% xma... |
7c2b0a18a0d023adb05bd990786174a7014281066f9095949673c31684dd2bdf | MATLAB | 559 | 19 | function struct = matrix_statistics(matrix, bsl_i1, bsl_i2)
struct.matrix = matrix;
struct.matrix_mean = mean(matrix);
struct.matrix_std = std(matrix);
struct.bsl_mean = mean(matrix(:,bsl_i1:bsl_i2),2);
struct.bsl_std = std(matrix(:,bsl_i1:bsl_i2),0,2);
[r,c]=size(matrix);
stru... |
423c68de0cf542dfb7041870d6f7c3550e16719a8d602cca06133eddb2b3733a | MATLAB | 562 | 21 | function out = yOCT2Tif_ConvertBitsData(in, c, isInputBits, maxbit)
% isInputBits - when set to true will convert bits -> data
% false convert data -> bits
%% Input
c = sort(c);
if ~exist('maxbit','var') || isempty(maxbit)
maxbit = 2^16-1;
end
%% Conversion
if isInputBit... |
d055aed8cd5977e1de6aebfc448b88aa777c88b488eab3e6d7d5acdd881b3742 | MATLAB | 562 | 32 | function [AX, AY, A] = AngularAcceleration(VX, VY)
t = Range(VX, 'ts');
ty = Range(VY, 'ts');
if length(ty) ~= length(t)
error('VX and VY don''t have the same length');
end
if any(ty ~= t)
error('VX, and VY don''t have the same times.');
end
dt = diff(t);
vx = Data(VX);
vy = Data(VY);
ax = diff(vx) ./ dt;
ax ... |
27319c62b397baaead08ce810d8597070ba6e7cc7de7909f46b4b60005ab30a6 | MATLAB | 563 | 29 | function v = get(O, k, varargin)
% v = get(D, k, x) returns item in dictArray D with key k, if key present, otherwise x
%
% it doesn't give an error if key is not present. In that case, if x is
% not passed, it returns the empty array
% copyright (c) 2004 Francesco P. Battaglia
% This software is released under ... |
65582b25a958fd1425b8d2668b61f35ee170c25ccc20af83d7f5f5f165ddc8e3 | MATLAB | 563 | 26 | classdef KnnClassifierModel < ClassifierModel
properties
NumNeighbors
knnObject
end
methods
function mdl = KnnClassifierModel(k)
if nargin > 0
mdl.NumNeighbors = k;
end
end
function mdl = train(mdl,X,... |
cb41179229a5457ad26ff29ad1fedb29efb5032773467157cca4d0f317e39db1 | MATLAB | 563 | 17 | function write_new_tunnel_pseudo_times(pseudo_sub_dir, spike_idx, time_idx,is_ff, channels_to_write)
% you can restore original pseudo_times from
% create_pseudo_times_files_220216.m
spike_times=time_idx(spike_idx)*1e3;
clus_num=ones(length(spike_times),1);
cluster_class=[clus_num,spike_times'];
for i=1:length(channe... |
84e9a9e2c4f3aed825cb00c52bc66a25754ddbdc802d652d18aac419fb782636 | MATLAB | 564 | 14 | % function distmatrix_s=makeDistMatrix_s(coords_t,maxtime_s)
function distmatrix_s = makeDistMatrix_s(coords_t)
num_neurons = size(coords_t,3);
distmatrix_s = zeros(num_neurons, num_neurons, 1, 3);
h = waitbar(0,'Building distance matrix ...');
for i = 1:num_neurons
waitbar(i/num_neurons,h... |
00e0f77a6cfdb9d1a03c4e6c12af162140e97d96a39a52916d7336f33ecca113 | MATLAB | 566 | 24 | function [net, error] = mlptrain(net, x, t, its);
%MLPTRAIN Utility to train an MLP network for demtrain
%
% Description
%
% [NET, ERROR] = MLPTRAIN(NET, X, T, ITS) trains a network data
% structure NET using the scaled conjugate gradient algorithm for ITS
% cycles with input data X, target data T.
%
% See also
% DEMT... |
29c7bd0b5e7ea8e76b74088aef9352c9ecf055d4d28d7ace385b00341939974c | MATLAB | 566 | 21 | function RGBimage = im2RGB(image, cmap, I_low, I_high)
image = double(image);
numColors = size(cmap, 1);
intIm = (image - I_low)/(I_high - I_low);
intIm(intIm(:) < 0) = 0;
intIm(intIm(:) > 1) = 1;
intIm = ceil(intIm*numColors);
intIm(intIm(:) == 0) = 1;
rIm = zeros(size(image));
gIm = zeros(size(image));
bIm = zeros(s... |
64552721ff3cf9ef93c61294045be96b768df1fdf5c61383c369e7e7c03ce658 | MATLAB | 566 | 22 | function [iserr] = iserror(cmd)
% This is part of the MVPA test suite. It evals CMD inside a
% try/catch block. If an error is raised, then returns true. If no
% error is raised, returns false.
%
% This is useful if you're expecting/hoping that a function will
% fail when it's supposed to fail, e.g. if you don'... |
7b7f198b49b5a92a1cb15d513ee897725f0ec355a250874ec8d01e7de329de7d | MATLAB | 567 | 23 | function [errs warns] = alert_unit_errors(errs,warns)
% Alerts if there are errors in a unit test
%
% [ERRS WARNS] = ALERT_UNIT_ERRORS(ERRS,WARNS)
%
% Ideally, you'd run all your unit tests en masse as part of
% a suite, but if you have an individual unit test function
% that you want to run, just call this at the end... |
d749ff814e8e054e06044f7a4ba2f2c7a31de49f7c489d4c01c948470d7de86c | MATLAB | 567 | 30 | function [y_solved, sigmas] = simple_wiener_veryfast(data,rf, sigmas_only)
[Nc, Nt, Nr]=size(data);
data=reshape(data, Nc, []);
C = data*data'/Nt;
c=sum(diag(C))/Nc;
C=C+c*rf*eye(Nc);
W=inv(C);
D=1./diag(W);
sigmas=sqrt(D);
if sigmas_only
y_solved=[];
else
y_solved=(diag(D)*W')*data;
y_... |
cff191545595843725edc12697635b229314db2d0a5bc1a16ece63e51492bec1 | MATLAB | 568 | 30 |
function PoSubPaper_GetCellTypesADN
sdSmooth = 3;
%% load data
load(fullfile('Analysis','MeanFR'));
load(fullfile('Analysis','HdTuning_moveEp'));
hdi = hdInfo(:,sdSmooth+1);
frate = rateS;
gd = frate > 0.5;
%% define groups
% FS cells
fs = zeros(length(frate),1);
% ... |
0f420f392c1fe895a2dcbbd6d6075bf865c258fa202b69db7bba0333953f4836 | MATLAB | 569 | 18 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Authors : CHATENET Louis
% Date : 24/05/2018
% Updated : 30/05/2018
% Version : V2.0
%
% Description : AMPA current calculation
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Isyn, r] = IsynAMPA2(dt... |
2ca31a1c370a602e9ae52802574d7aebe6d63080274d75d0b402ae8445bb57d1 | MATLAB | 569 | 18 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Authors : CHATENET Louis
% Date : 24/05/2018
% Updated : 30/05/2018
% Version : V2.0
%
% Description : AMPA current calculation
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Isyn, r] = IsynAMPA4(dt... |
4e8d6a986ca50ab50350e876a63e283f4ace76869a91a3bb798281a6fb0827a8 | MATLAB | 570 | 26 | function [errmsgs warnmsgs] = unit_convert_maskpat_idx()
% Tests CONVERT_MASK_TO_PAT_IDX and CONVERT_PAT_TO_MASK_IDX
%
% [ERRMSGS WARNMSGS] = UNIT_CONVERT_MASKPAT_IDX()
%
% Only a single, rudimentary confirmation that the one
% undoes the other.
errmsgs = {};
warnmsgs = {};
mask = round(rand(10,10,10));
keep_idx =... |
4fb0804f7cfe85c9d81426e8a1839f45bc49a149cd5b1bfd0b10ce8db8db2345 | MATLAB | 570 | 15 | function [loglik,phtgV1T,phthtpgV1T] = vbhmmEstep(v,stran,sprior,logOutputs)
nSubjs = length(v);
parfor ns=1:nSubjs
[logalpha,loglik1]=VBHMMforward(v{ns},stran,sprior,logOutputs{ns});
logbeta=VBHMMbackward(v{ns},stran,logOutputs{ns});
[phtgV1T1,phthtpgV1T1]=VBHMMsmooth(logalpha,logbeta,logOutputs{ns}... |
19ea63fd69f5a17f48e98dc7d4fef95d6fd9b4738eec9d936bf04921d5fefef6 | MATLAB | 571 | 21 | function [xFil, yFil, zFil] = DecomposedGaussian3(sigR, numSig)
if length(sigR) == 1
sigR = repmat(sigR, [1, 3]);
elseif length(sigR) == 3
else
error('');
end
kernelSize = ceil(sigR.*numSig) + mod(ceil(sigR.*numSig), 2) + 1;
x = -kernelSize(1):kernelSize(1);
y = -kernelSize(2):kernelSize(2);
z = -kernelSiz... |
77e444a8226518174fc8844585efbcc0685454d6f939fa0ee6c081f11ec4e757 | MATLAB | 571 | 17 | function C=xcorrelation_matrix(n)
nen=numel(n);
for i=1:nen
for j=i+1:nen
valid_times=intersect(n(i).coords(:,4),n(j).coords(:,4));
crrltn_p=max(xcorr(n(i).coords(valid_times,5),n(j).coords(valid_times,5)));
crrltn_n=max(xcorr(n(i).coords(valid_times,5),-1.*n(j).coords(valid_times,5)))... |
b092c9b2b427a057aa08ca6468a47a23ebf775c2af6b500f0e436679e10139e3 | MATLAB | 571 | 32 |
function K = kernelD(xp0,yp0,len)
D = size(xp0,1);
N = size(xp0,2);
M = size(yp0,2);
% split M into chunks if on GPU to reduce memory usage
if isa(xp0,'gpuArray')
K=gpuArray.zeros(N,M);
cs = 60;
elseif N > 10000
K = zeros(N,M);
cs = 10000;
else
K= zeros(N,M);
cs = M;
end
for i = 1:cei... |
7db4a406df16c229c6bbb32ad3e1b51773792d04c1280c994b27525c35cd47cb | MATLAB | 573 | 21 | function lvl1_save(i_sub, p, model)
data_dir = p.dirs.data;
title = p.lvl1.title;
sub_str = num2str(i_sub,'%02i');
out_file = fullfile(data_dir, 'Nifti', ['sub-' sub_str], 'lvl1', title, ['lvl1_log_' datestr(now,'yymmddHHMM') '.mat']);
% only save if there are non-e... |
85bf26444a0cde32b8e2280e0e71a40eb8e1bdaedf8046c14deeba736c4375c4 | MATLAB | 573 | 22 | function S=tracerealign(T,align,at);
% function S=tracerealign(T,align,at);
% returns a realigned version of the timeseries in T
% the point align(i) is shifted to at
% T: NxT matrix of N timeseries
% align: N*1 vector of align times
% at: scalar
S=T.*NaN;
len=size(T,2);
for i=1:size(T,1)
if (~isnan(ali... |
8cbd350e4e162e70f55a627539dbdd9db0c4a925adaaf92dc66fe837299ce152 | MATLAB | 574 | 21 | function [delta_f, f0] = propagateErrorDxi(fun_handle, x0_vals, dx_vals)
% fun_handle should be a scalar function of x0. x0 may have multiple
% entries. dx_vals are the variations in each of the entries. delta_f is
% the expected variation in the function output
% error propagation method
% df^2 ~ ((df/dx1)dx1)^2 + (... |
acb8c9a1c3635fa15888585d000a938072ede9f9c14638827e8195fd7373dcfa | MATLAB | 575 | 24 | function posizione = verificaPosizionePunto_2(punto, planeCoeff)
% Estrai i coefficienti del piano
A = planeCoeff(1);
B = planeCoeff(2);
C = planeCoeff(3);
D = planeCoeff(4);
% Estrai le coordinate del punto
x = punto(1);
y = punto(2);
z = punto(3);
% Calcola Ax + B... |
f1baa3b4d3a4b6f8c3c980532bbd890cc74fdae64717e12db79eced8b4a85b67 | MATLAB | 575 | 33 | %res = digamma(X)
%
% Calculates the digamma function.
%
% Loops on rows of a matrix - could be optimized better
%
% Matthew J. Beal GCNU 06/02/01
% This is a hack (Rasmussen).
function res=digamma(X);
coef=[-1/12 1/120 -1/252 1/240 -1/132 691/32760 -1/12];
krange = [1:7]';
[n, m]=size(X);
res=zeros(n,m);
for i=... |
63b1d025a27fac6dc2b16191118285bad05df69638991d61d34f0b2a3432f5f2 | MATLAB | 576 | 27 | function [mat] = vol2mat(data, selected)
selected = logical(selected);
dim = size(selected);
if (length(dim) == 3)
N_samples = size(data, 4);
mat = zeros(length(find(selected)), N_samples);
vol_temp = zeros(dim(1), dim(2), dim(3));
for t = 1: N_samples
vol_temp = data(:, :, :, t);
mat(:, t) = vol_temp(selec... |
4962b82d965bdd67817599e11b9c7e0427171f342f11077af80475802ebcb5e9 | MATLAB | 578 | 33 | %
%plot stop/start markers on a raster.
%
%plotModeBottom: if enabled (1), plot the lines at the back, not over what is in the plot
%
%
function h = plotTrialMarkers( markerPos, col,lw, plotModeBottom )
if nargin<2
col='r';
end
if nargin<3
lw=2;
end
if isempty(lw)
lw=2;
end
if nargin<4
plotModeBottom=0;... |
941f195cee63c9b8f09771a41debdc5d7a9f53474f756c4816dfe09f92aa8c65 | MATLAB | 578 | 18 | function [y] = cellrowselect(x, rows)
% [Y] = CELLROWSELECT(X, ROWS) outputs cell-array Y with the same dimensionality as X
% Each cell in Y only contains the rows ROWS from the original corresponding cell in X
%
% X (and Y) should be linear cell-array(s) of matrices for which the number of rows
% should be the same... |
9c81645f7508e102eca88034ab79ba154cbcee5bc9c2a510fd5f73a271ee1e73 | MATLAB | 578 | 19 | %%
%Accuracy plots
clear
load('all_timesample.mat')
m=squeeze(mean(resSall,1));
gpSize=[22,24,21,27];
for group=1:4
m2=squeeze(mean(m(:,:,:,group,1:gpSize(group)),5));
s=squeeze(std(m(:,:,:,group,1:gpSize(group)),1,5));
figure, errorbar(m2(:,1:3,2),s(:,1:3,2)./sqrt(gpSize(group)))
ax = gca;
ax.XTickLa... |
51859de03a4af66c97578871b9041a89c0fa70c753cedb1d83f26503fb621bd4 | MATLAB | 579 | 27 | function [y] = yuent(x1, x2, percent, dim)
if nargin<4
dim = find(size(x1)>1, 1, 'first');
end
if nargin<3
percent = 0.2;
end
n1 = size(x1, dim);
g1 = floor(percent*n1);
[mu1,thrlo1,thrhi1] = trimmean(x1, percent, dim);
s1 = winvar(x1, cat(dim, thrlo1, thrhi1), dim);
h1 = n1 - 2*g1;
d1 = ( (n1-1)*... |
c0d29dacf7f798d54ac4ebd33557554a8805c3cb3cb25bc177f20fd1c5163640 | MATLAB | 579 | 24 | function [res, fmt] = detQC(actigraphy, epoch, varargin)
%DETQC do actigraphy qc
%
% [RES, FMT] = DETQC(ACTIGRAPHY, EPOCH, STARTTIME)
% performs QC on ACTIGRAPHY of epoch length EPOCH and
% return results to the caller.
% FMT request the format to write RES to file
%
% $Author: Peng... |
c667179ec015dadfed1192240cee4667897fbc7e815b305ead3441ea02a04fab | MATLAB | 579 | 25 | function SI = PlaceFields_StabilityIndex(fr1,fr2)
% USAGE:
% SI = PlaceFields_StabilityIndex(fr1,fr2)
%
% Computes stability index between two place maps.
% The index is definde as the average Hellinger distance between each bin,
% assuming they are drawn from Poisson distributions.
%
% INPUTS:
% fr1,2: ... |
b8a1cf532c290ab734b33edf8bc35a558e482336d9e55563e880302441eb307e | MATLAB | 580 | 25 | clear
clc
close all
addpath('data')
addpath('src')
dataset = {'1_mECS', '2_Kolod', '3_Pollen', '4_Usoskin'}
for i = 1:4
% perform the analysis for the current dataset
load(['Test_' dataset{i}]);
C = max(true_labs); %%% number of clusters
rng(i,'twister'); %%% for reproducibility
[y, S, F, yda... |
0e4d4abad661d7cc387fc4032dceb5fc377f04ade63514f8e51eece0c4c41bd7 | MATLAB | 581 | 23 | function assign_fid_211118(folder_address,parent_dir,is_prestim)
cd(folder_address)
current_dir=dir;
dir_names=string({current_dir.name});
folders=isfolder(dir_names);
folders([1,2])=0;
dir_names=dir_names(folders);
for i=1:length(dir_names)
fid=i;
filename=dir_names(i);
if is_prestim
save(strcat(... |
76dc59284196cdadb36ba75841adce856628598382412841f402c357a9832913 | MATLAB | 581 | 21 | %% Load Data Files and add common functions folder to path
load('../data/behavData.mat')
% Extracting Behavioral data
session_list = [4:15 18 20:45];
% sessions excluded:
% [1,2,3] : no invalid trials tested
% [16,17] : corrupted eye tracking data
% [19] : no V4 recordings
[beh_dat,~] = get_beh_dat(behav... |
9da8a93abc7011a759281217d53514483dc537df1d59ac7acaa43bc17028a00f | MATLAB | 582 | 20 | function CalibrateLEDorientation_Moser()
[~,fbasename,~] = fileparts(pwd);
[X,Y,ang,wakeEp] = LoadPosition_Moser(fbasename);
ang0 = atan2(diff(Data(Y)),diff(Data(X)));
ang1 = Data(ang);
angOffset = CircularMean(ang1(2:end)-ang0);
if angOffset > pi
angOffset = angOffset-2*pi;
end
figure(1),clf
plot(mod(ang0,2*pi),... |
305a1fac174f7e7b07e802c806b20ee51c5a4ea379145fce3f0d1b9f446f9afe | MATLAB | 585 | 15 | % This script generate datasets in multiple resolutions and scales
% Set date time such that all dataset will carry same date
dataSetInitDate_ = datestr(now,'yyyy-mm-dd');
call_scriptGenerateDataset('10x',dataSetInitDate_);
call_scriptGenerateDataset('4x',dataSetInitDate_);
call_scriptGenerateDataset('2x',dat... |
b603ee7bc7536cb39467001ba6da120441c39ea277dbfe19bcb26f028417a565 | MATLAB | 585 | 17 |
%% Read Configuration Data, read all jsons
jsons = s3LoadAllSubjectSectionJSONs(subjectPath_,sectionName_);
%% Histology Image
jsons.slideConfig.data.alignedImagePath_Histology = 'HistologyAligned.tif';
slideFolder = [fileparts(jsons.slideConfig.path) '/'];
histFilePath = awsModifyPathForCompetability(...
... |
ec0c86ce0615893791104aeeb6633ff9293769fdea1ae9fd753630f35393361f | MATLAB | 586 | 20 | function histogram_tutoring(data, color, x_label, y_label, pic_title,output_path)
% h=histfit(data);
h=histogram(data,5,'LineWidth',2,'FaceColor',color./255,'EdgeColor',[1 1 1]);
xlabel(x_label);
ylabel(y_label);
title(pic_title);
set(gca,'FontSize',20,'LineWidth',2);
box off
ymax_value=round(max(h.Values)+max(h.Value... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.