sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
6e48d79edcc19bfc127ad457ccc0ef518cceca52bb9214caca62ab11b97e04fa | MATLAB | 1,055 | 33 | %GRAY Black-white colormap
%
% Examples:
% map = gray;
% map = gray(len);
% B = gray(A);
% B = gray(A, lims);
%
% Similar to MATLAB's gray function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor array ... |
a2eab93b76b14c07c0eaaa04a79d78be812d4cdbd8a9d0b17e58968efcc6908b | MATLAB | 1,055 | 33 | %GRAY Black-white colormap
%
% Examples:
% map = gray;
% map = gray(len);
% B = gray(A);
% B = gray(A, lims);
%
% Similar to MATLAB's gray function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor array ... |
46ea171ff265daaff43952c988f26c49166bdddfd8c609a8eb7452aeef1c52e3 | MATLAB | 1,056 | 29 | classdef ConnectomeFeatureAnalyzer
methods (Static)
function [reciprocalFeatureMasks] = makeReciprocalUnidirectionalMasks(connMat,crossInfo)
arguments(Input)
connMat ConnectionMatrix
crossInfo CrossRegionInformation
end
arguments(Output)... |
c8937e5f53ed780fc3cdf44e46e53087a10585d14d88aa29dbe0df53d7125570 | MATLAB | 1,056 | 28 | function listen(port, handler, varargin)
% LISTEN Wait for a connection from Gadgetron (or other client).
%
% LISTEN(PORT, HANDLER, ...)
%
% LISTEN will listen for incoming connections on the specified port.
% When a connection is ready, HANDLER is called with a Connection
% object as ... |
e33b4edcb6f8998a4a8ef0f58bdb2b6e1a78134f5e1befc9c6f767b8ce699860 | MATLAB | 1,057 | 33 | %GRAY Black-white colormap
%
% Examples:
% map = gray;
% map = gray(len);
% B = gray(A);
% B = gray(A, lims);
%
% Similar to MATLAB's gray function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor array ... |
2be39d32d7ffc745aaa8dcbcdf24408329b7240d45b4d5bae42ef14f29e8c50c | MATLAB | 1,058 | 41 | %%
% Returns either black or white, depending on whether color is most
% different from the two choices.
%
function [color] = blackOrWhite(color, clrBlack, clrWhite, cmpBlack, cmpWhite, invert)
persistent toLab;
if isempty(toLab)
toLab = makecform('srgb2lab');
end
if nargin < 2 || ise... |
94982fe05b49942c51e8892ef6a32ed38f8f3c8f88f61293f1800fd6e6088c13 | MATLAB | 1,058 | 32 | clc;clear all;close all;restoredefaultpath;
%addpath(genpath('/big_disk/ajoshi/coding_ground/bfp/supp_data'))
addpath(genpath('/home/ajoshi/Projects/bfp/src'));
% 1050345 rest 2
% Set the input arguments
configfile='/home/ajoshi/Projects/bfp/supp_data/config_bfp_preproc_minimal.ini';
sublist = dir('/deneb_disk/pa... |
5f9945bcffe8d6b80aa6eb60b60c4d4bd9fd8d139ea778d96bc7b949126e741d | MATLAB | 1,061 | 22 | clc;clear all;close all;restoredefaultpath;
%addpath(genpath('/big_disk/ajoshi/coding_ground/bfp/supp_data'))
addpath(genpath('/home/ajoshi/Projects/bfp/src'));
% 1050345 rest 2
% Set the input arguments
configfile='/home/ajoshi/Projects/BrainSuiteBIDSAppSampleData/config_mysoftware.ini';
t1='/home/ajoshi/Projects... |
f15fe152fab375498931a62f6b610ff5882306e4c133ae38bfcd676290f9668c | MATLAB | 1,061 | 33 | %GRAY Black-white colormap
%
% Examples:
% map = gray;
% map = gray(len);
% B = gray(A);
% B = gray(A, lims);
%
% Similar to MATLAB's gray function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor array ... |
125cad57a10d7257e5ff1731e278a91a1d00152d82434d3588b71cda57e0ca24 | MATLAB | 1,063 | 31 | %% Mean and binomial uncertainty variance of a random variable that is a fraction of a given count.
function [mean, variance] = fracstat(numerator, denominator, numeratorVariance, denominatorVariance)
% Default to Poisson statistics
if nargin < 3
numeratorVariance = numerator;
end
if nargin < 4
... |
821dc9248933a06b2c36e0fb4bb28aa10d2510a36f0b8caa712b806b761c1004 | MATLAB | 1,064 | 36 | function[resultname] = identification_batmotiv(taskName, subid, runname)
%% identification_batmotiv
%
% INPUTS
% taskName: name of task
% subid: subject number as a string
% runname: run/session name as a string
%
% OUTPUTS
% resultname: name of the main results folder
%
% script initially made by Nicolas Borderies, ch... |
bf8fa23696a7c0d2ef191d00b0f9db4aabd53f13d1548f4e1774c27f0ecf512c | MATLAB | 1,064 | 40 | %putRawTT.m
%Demo file on how to write SE and TT files
%This function can write either.
%
%modeOut: 1 is SE, 2 is TT
%
%
%urut/MPI/Dec11
function putRawTT( modeOut, filenameOut, timestamps, dataPointsOut, headerLine )
AppendFile=0;
ExtractMode=1;
ModeArray=1;
NumRecs=length(timestamps);
%all
% Field List
% 1. Tim... |
860d18e6ebba0709bd865a5a2051da354b4716862b34c39dffb372f6f0fefba7 | MATLAB | 1,065 | 39 | function data = readcfl(filenameBase)
%READCFL Read complex data from file.
% Read in reconstruction data stored in filenameBase.cfl (complex float)
% based on dimensions stored in filenameBase.hdr.
%
% Written to edit data with the Berkeley Advanced Reconstruction Toolbox (BART).
%
% Copyright 2016. CBClab, Maas... |
0596dc1e9a634cfcdb5c3168a6a918e5f59d07e8b2338680336420861f98a132 | MATLAB | 1,066 | 23 | function coef_vals = group_rwLCA_wrapper(dictionary_n, x_im, opts)
% coef_vals = group_rwLCA_wrapper(dictionary_n, x_im, opts)
%
% Wrapper for the l1ls minimization function
% Required parameters:
% opts.eta: 2-D vecotr of Delta/T for LCA (1 for coefficients, one
% for weights. Typically eta(2) < et... |
0e65114b7ad4c916073139e935da4b136686a75646ba212d3e258c813237adaa | MATLAB | 1,066 | 23 | function bias_bits = bias_cmi_ggg_bits(Nvarx, Nvary, Nvarz, Ntrl)
%BIAS_CMI_GGG_BITS Analytic bias correction for Gaussian conditional MI.
% bias_bits = bias_cmi_ggg_bits(Nvarx, Nvary, Nvarz, Ntrl) returns
% the scalar bias correction in bits for CMI(X;Y|Z) where X, Y, and Z are
% Gaussian variables with dimensio... |
c66a40380abe6da0d032558a99faf7d466701d842b419e73fb593b9c162349bd | MATLAB | 1,067 | 36 | function outpict = ghlstool(inpict,hls)
% OUTPICT = GHLSTOOL(INPICT,HLS)
% Adjust hue, lightness, saturation as in the GIMP Hue-Saturation tool.
% This just exists strictly for replicating the GIMP tool behavior.
%
% INPICT is an RGB/RGBA image of any standard image class
% HLS is a 3-element vector of the form [... |
edb24897b256c535ad224d7451e0b80430cc0729c68cad9e49955dd6807119c4 | MATLAB | 1,067 | 32 | clc;clear all;close all;restoredefaultpath;
%addpath(genpath('/big_disk/ajoshi/coding_ground/bfp/supp_data'))
addpath(genpath('/project/ajoshi_27/code_farm/bfp/src'));
% 1050345 rest 2
% Set the input arguments
configfile='/project/ajoshi_27/code_farm/bfp/supp_data/config_bfp_preproc_minimal_carc.ini';
sublist = ... |
eafad9af71ac63704f8d73a7e0a23115a2142c5be18ebccd19de449d916d1dd6 | MATLAB | 1,071 | 47 | function [keys, is_empty, exitKey] = record_keys(start_time, dur, device_num)
% Collects all keypresses for a given duration (in secs).
% Written by KGS Lab
% Edited by AS 8/2014
exitKey = 0;
% wait until keys are released
keys = [];
while KbCheck(device_num)
if (GetSecs - start_time) > dur
break
end
e... |
9cef4a82b41255838305288f28bc7da3075ab29e0bfd644d61be50435793e08b | MATLAB | 1,072 | 37 | function r = CBIG_ICCW_ICC_1_1(data_vectors)
% function CBIG_ICCW_ICC_1_1(data_vectors)
%
% This code is adapted from the '1-1' formulation for ICC(c) from
% Arash Salarian, 2008
%
% Reference: McGraw, K. O., Wong, S. P., "Forming Inferences About
% Some Intraclass Correlation Coefficients", Psychological Methods,
% ... |
aa0b49af2c5fa4b1612b791118e9068c8a41f0391504d12d4b41813f19f67dc6 | MATLAB | 1,072 | 39 | %%
% Parses unit specifications in the format {unitInfo, xUnit, yUnit, ...}.
% Either individual output can be requested, or a combined cell array of
% axes units:
% [unitInfo, xUnit, yUnit, ...] = getunits(...)
% [unitInfo, units] = getunits(...)
%
function [unitInfo, varargout] = getu... |
d2da697adbe2d7226b186acb50733fe480c815073c76822339770af1714316ed | MATLAB | 1,075 | 44 | function [D R] = DT1(f)
% One-dimensional generalized distance transform
%
% Input: f - the sampled function
%
% Output: D - distance transform
% R - power diagram
%
% Based on the paper:
% P. Felzenszwalb, D. Huttenlocher
% Distance Transforms of Sampled Functions
% Cornell Computing and Information Science Te... |
0f4d672c5207723212ddd3cb51ffb7f926c08dcfbab1f808081eb32b0b05672f | MATLAB | 1,077 | 48 | function [toGood,fromGood]=interpolate_bad_channels(x,iBad,coordinates,n)
%y=interpolate_bad_channels(x,iBad,coordinates,n) - interpolate bad channels from good
%
% y: interpolated data
%
% x: data to interpolate
% iBad: indices of bad channels
% coordinates: coordinate map (see nt_proximity)
% n: number of neigh... |
e3edbc771fa633fc15e4611502dfc3960c1fa46a72601279eddff50444669cac | MATLAB | 1,078 | 41 | %%
% Advances the given subscripts by one step.
% advance(subscripts, lasts, [firsts], [steps])
%
function [subscripts] = advance(subscripts, lasts, varargin)
% Default start and increment
if nargin > 2
firsts = varargin{1};
else
firsts = ones(1, length(subscripts));
... |
7747c8b2bd0b3baae917b838fffc16a66f8b8b5163b10b749a09f361d699f44b | MATLAB | 1,080 | 48 | function [y,w]=nt_trial2mat(x,max_nsamples)
%[y,w]=nt_trial2mat(x,max_nsamples) - convert trial cell array to 3D matrix
%
% y: matrix (samples * channels * trials)
% w: weights (samples * 1 * trials)
%
% x: trial array (each trial is channels * samples)
% max_nsamples: max number of samples per trial
%
% In the ca... |
93b2382c0b75a22ab6d6bbabba25d0e8895a5d43e778dc6c131f4da550277b3d | MATLAB | 1,084 | 39 | function outnum = roundeven(innum,varargin)
% ROUNDEVEN(INNUM,{TYPE})
% Round numbers toward even integers, in the direction specified.
%
% INNUM is a real-valued numeric scalar or array
% TYPE specifies the type of rounding (default 'round')
% 'round' is similar to the inbuilt function round() in that values... |
5b653719b7759e71bf7a24e14ab3254a518d94ca2bdeb60af1b263d8367dbc6a | MATLAB | 1,085 | 51 | %
% P = sampleCorrelationDistribution(r, rho, N, isPlot)
%
% Description:
% calcualte the sample correlation distribution (Fisher 1915)
%
% Input:
% r - sample correlation
% rho - population correlation
% N - length of the time series
% isPlot - flag to plot
%
% Output:
% P - the distribution... |
ab7e0f87d1b1170c6cb62ba41231e706f7f480e2334b9067d715ad81fab8b0ce | MATLAB | 1,085 | 44 | function nt_linestyles(h,property,values)
%nt_stylelines(h,property,values) - apply different styles to lines of plot
%
% h: handle to plot (default:gca)
% property: property to set (default:linewidth)
% values: cell array of values, one for each line
%
% Values may be a numerical matrix, in which case each row is u... |
d9cd34a110bb68a5be1968074f0431a63c93caf88de58e77714f023b841a928d | MATLAB | 1,085 | 44 | set(groot,'defaultAxesTickLabelInterpreter','latex');
set(groot,'defaulttextinterpreter','latex');
set(groot,'defaultLegendInterpreter','latex');
subplot(2,1,1);
fnn = load("fnn_FNNcompare_Log_L_4_Nmax_6_phi3_moderate_phi4_moderate_alpha_1.txt");
mbf = load("mbf_FNNcompare_Log_L_4_Nmax_6_phi3_moderate_phi4_moderat... |
f09e2a1041955cccc58debc55b51bf3367a9ed56e8d7b84439049d99bf545e77 | MATLAB | 1,085 | 33 | %GRAY Black-white colormap
%
% Examples:
% map = gray;
% map = gray(len);
% B = gray(A);
% B = gray(A, lims);
%
% Similar to MATLAB's gray function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor array ... |
13673b50eb1c7d211fc1382e8d2cb6e957227cafb1deb047c415161375653239 | MATLAB | 1,086 | 33 | %HOT Black-red-yellow-white colormap
%
% Examples:
% map = hot;
% map = hot(len);
% B = hot(A);
% B = hot(A, lims);
%
% Similar to MATLAB's hot function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor a... |
14c4462a4b15074e82f7028653e7c18095f631d92985ccc1467b59f724975666 | MATLAB | 1,087 | 41 | %
% Demo of how to load and use the dataset
%
% Parameters
nletter_per_alpha = 20; % number of letters of each alphabet to show
% Load the dataset
if ~exist('D','var')
load('data_background','drawings','images','names','timing');
D = Dataset(drawings,images,names,timing);
end
nrow = ceil(sqrt(nletter_per_alp... |
76067c8b6e88a402db62587ccc7205a6c95bc6db7efb23ab8b07b02d5287a53e | MATLAB | 1,088 | 43 | %% RECTANGLECORNERS Returns patch x and y coordinates for a rectangle with corner at (x,y) and with the given width/height
function [cornerX, cornerY] = rectangleCorners(x, y, width, height, doClose)
if nargin < 5
doClose = false;
end
if isempty(width)
width = 0;
end
if isempty(height)
... |
803c2d79585cbc0713252d94304f7fa3422b5e0cc364c1dbe6f9ebf86b81d4d2 | MATLAB | 1,094 | 39 | %%
% Tacks on or replaces a trailing ' / b x' where b is a (histogram) bin
% size and x is a unit.
%
function [formatted] = formatBinning(handle, bins, binUnit, precision)
persistent findUnit;
if isempty(findUnit)
findUnit = '(?<=\s/\s)([-+0-9.e]+)\s([a-zA-Z]+)\s*$';
end
if nargin < 4
... |
5b5ddd3052fa6190fc6a2d83527b2f1f4583f8c8f169ccb7e3c744f3e7f2c2a9 | MATLAB | 1,097 | 44 | %%
%
function [handle] = moreticks(axis, handle, numSplits, extendRange, dontSplit, precision)
%----- Default settings
narginchk(1, inf);
if nargin < 2
handle = gca;
end
if nargin < 3
numSplits = 2;
end
if nargin < 4
extendRange = 1;
end
if nargin < 5
... |
63545b3c3e3cbdc7db4c25b37fbf78cbdfeddfa8ce17fd683752b92e0e074634 | MATLAB | 1,097 | 48 | %
% [dataOut, unitOut] = convertByteUnit(dataIn, from, to)
%
% Description:
% convert unit of Byte from one to another
%
% Input:
% dataIn - the number of Bytes in "from" unit
% from - unit for current number
% to - unit to convert to
%
% Output:
% dataOut - converted data
% unitOut - unit co... |
93ace0000ffdad976fed6c31327826310c38aaedde4c2796969ffd22cb67669f | MATLAB | 1,097 | 28 |
function next = ESPIRiT_unfold(input, header)
disp("ESPIRiT unfolding setup...")
global N_order
matrix_size = header.encoding.reconSpace.matrixSize; % [x,y,z]
nEchoes = header.encoding.encodingLimits.contrast.maximum+1;
nSets = header.encoding.encodingLimits.set.maximum+1;
function data = ESPIRiT_unf... |
801640e86a0472fddc19548866da2ff6d62260d34e3c1d7dd6b5b91756ae7335 | MATLAB | 1,100 | 40 | function [y,mn,mask]=nt_rereference2(x,mask,thresh,factor)
%[y,mn]=nt_rereference2(x,mask,thresh,factor) - robust rereferencing
%
% y: rereferenced data
% mn: subtracted reference
% mask: channel mask
%
% x: data to rereference (time X channels)
% mask: channel mask
% thresh: std threshold to discard channe... |
957a38af8bfc9ead90851f957699761755b205293240445f2e55dd51e0e41d62 | MATLAB | 1,100 | 34 | function CBIG_UpsampleSagittalPlane(input, output, scale, interp_type)
% Upsample a volume along sagittal plane.
%
% CBIG_UpsampleSagittalPlane(input, output, scale, interp_type)
% Input:
% input : input nifti file
% output : output nifti file
% scale : a single parameter
% ... |
74cfc9174794eb2d467a3693f2d6e7cd840455a5c27998c3bd259da6e43a9fd7 | MATLAB | 1,101 | 57 | cm2hartree = 4.556e-6;
A = load('AnCorr_L4_Nmax3.txt');
A = log10(A);
B = load("AnCorr_L4_Nmax6.txt");
B = log10(B);
C = load("AnCorr_L4_Nmax9.txt");
C = log10(C);
set(groot,'defaultAxesTickLabelInterpreter','latex');
set(groot,'defaulttextinterpreter','latex');
set(groot,'defaultLegendInterpreter','latex');
data ... |
17cd7625d108959e8e8a7b37b87a44a32111d7e1bc52d8416c1b8a5e997f49bf | MATLAB | 1,102 | 26 | %% settings
sliceInterval = 3;
scaleIntensity = 1;
%% read file
[stack, rowCal, columnCal, sliceCal, fileName, pathName] = readCZI2channels();
%% user draws the mask
disp(fileName);
disp('Outline the mushroom body in each slice');
disp(strcat('It is only displaying one slice out of every ', num2str(sliceInterval),' ... |
9432142598cad0666e01f7c7ab116739e19c5f0e28ede71bc71301358c81814d | MATLAB | 1,102 | 33 | %HOT Black-red-yellow-white colormap
%
% Examples:
% map = hot;
% map = hot(len);
% B = hot(A);
% B = hot(A, lims);
%
% Similar to MATLAB's hot function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor a... |
c1a39383ed5f74f7bef5c527a3fa748c613ad5cd3a045da752b8b620c7754f21 | MATLAB | 1,103 | 47 | %
% Copyright (c) 2015, Yarpiz (www.yarpiz.com)
% All rights reserved. Please read the "license.txt" for license terms.
%
% Project Code: YPML110
% Project Title: Implementation of DBSCAN Clustering in MATLAB
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Mostapha Kalami Heris (Member of Yarpiz Team)
%
% Cont... |
d063bc2576eaa7d1cbdd6a1a4925a7cf078969e45e83e2d382080a386241c744 | MATLAB | 1,104 | 26 | %% function get tuning strength of orthogonal cells
function TuningStrength = GetTuningStrength(HD_table, HD_list)
TuningStrength = [];
counter = 1;
for i = 1:length(HD_list)
idx = find(HD_table.cellID == HD_list(i));
if HD_table.IsPC_HDC(idx,2) == 1 && HD_table.IsPC_HDC(idx,3) == 0 % if cell is tu... |
43f5028ff29fe6494e18c7e0dd54a5e160ec6fbf9c843172a1b9813a8fbc7916 | MATLAB | 1,105 | 33 | %HOT Black-red-yellow-white colormap
%
% Examples:
% map = hot;
% map = hot(len);
% B = hot(A);
% B = hot(A, lims);
%
% Similar to MATLAB's hot function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor a... |
a8d660aea582cdaf5bcd214af2cd7d86aed067d968901e755c83a8ca3a72b5af | MATLAB | 1,105 | 36 | %--------------------------------------------------------------------------
%%
function [x] = findOvershoot(initX, xScale, xShift, fOfX, comparator, targetY, maxIterations)
if nargin < 7
maxIterations = 1000;
end
lastY = nan;
x = initX;
for iter = 1:maxIterations
y = fOf... |
dc5148d852a884259731db5f6b04bcedae12498626cc9ebdece2f728c15dcc77 | MATLAB | 1,105 | 33 | %HOT Black-red-yellow-white colormap
%
% Examples:
% map = hot;
% map = hot(len);
% B = hot(A);
% B = hot(A, lims);
%
% Similar to MATLAB's hot function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor a... |
8b534dd8f79a90799c81c88692e2ed358daa4f5d54de2098f4f2ad1281cd5b1d | MATLAB | 1,106 | 50 |
numDigits = 10;
mean_samples = zeros(numDigits, 1);
std_samples = zeros(numDigits, 1);
mean_time = zeros(numDigits,1);
std_time = zeros(numDigits,1);
for digit = 0:9
path = ['D:\Datasets\MNIST_DVS\' int2str(digit) '\'];
listing = dir(path);
[a,b] = size(listing);
eventos = zeros... |
a1fbd4c8563a817440f9215065c420cf3a9f2357f40c5a0c09083dc46242f8aa | MATLAB | 1,106 | 41 | function writecfl(filenameBase,data)
%WRITECFL Write complex data to file.
% Writes reconstruction data to filenameBase.cfl (complex float) and its
% dimensions to filenameBase.hdr.
%
% Written to edit data with the Berkeley Advanced Reconstruction Toolbox (BART).
%
% Copyright 2013. Joseph Y Cheng.
% Copyright ... |
ae210ffd70fe8e2c11da680734f8ca7fec6abbdb0489d641c47d5a796bdec463 | MATLAB | 1,106 | 31 | function [simple,differences_bs] = decision_peak_prominance(epoched_model_predictions)
%% Participant selection based on the difference between the aligned largest peak and second largest peak
%
% **Usage:** [simple, differences_bs] = decision_peak_prominance(epoched_model_predictions)
%
%
% Input(s):
% - epoched_mod... |
01bd06a1ac172b1f8b28bda76cb5f57ba6b297392b4ed4e8f81dc6102dc82c6d | MATLAB | 1,107 | 27 | function muse2SC
%% Place artefact file for Spyking-Circus in each data directory
for idir = 1 : size(MuseStruct,2)
Starttime = [];
Endtime = [];
try
if size(MuseStruct{idir}.markers.BAD__START__.events,2) > 0
for ievent = 1 : size(MuseStruct{idir}.markers.BAD__START__.events,2)
... |
5e8483b3d74e60647ccb583dfb92b89a7d47c454439792e38c11a7b2e5725218 | MATLAB | 1,108 | 40 | %%
% Returns standardized spherical coordinate angles, where theta ranges
% from 0 to pi and phi ranges from -pi to +pi. Either of the two
% following forms can be used:
% [stdTheta stdPhi] = stdSphericalAng([theta phi (...)])
% [stdTheta stdPhi] = stdSphericalAng(theta, phi)
function [theta phi... |
98f6135df56e5c938044c4ca1e73a8763d50c742619be8b5ce37c1710b350cdd | MATLAB | 1,108 | 61 | function [p,n]=numSubplots(n)
% function [p,n]=numSubplots(n)
%
% Purpose
% Calculate how many rows and columns of sub-plots are needed to
% neatly display n subplots.
%
% Inputs
% n - the desired number of subplots.
%
% Outputs
% p - a vector length 2 defining the number of rows and number of
% columns req... |
7bb844a01aad1531690f579ff65c80fd98146e265aa344b27739bf3df6a55566 | MATLAB | 1,113 | 33 | function [ output_args ] = ciftisave(cifti,filename,wbcommand,verbose)
% CIFTISAVE(CIFTI,FILENAME,WBCOMMAND,VERBOSE)
%
% Save a CIFTI file as a GIFTI external binary and then convert it to CIFTI
%
% CIFTI is the cifti-formatted file in the Matlab workspace
% FILENAME is the string containing the file name to save as
%... |
e243529f5697d75bfe87bd8148a1c1d236cd18a0677fc5ef7e23f9d0b9c51336 | MATLAB | 1,114 | 42 | function y = maxstar(x, w)
% MAXSTAR Stable log-sum-exp helper.
% For vectors, maxstar(x) is equivalent to log(sum(exp(x))).
% For matrices and N-D arrays, maxstar operates along the first
% non-singleton dimension.
%
% maxstar(x,w) is the log of a weighted sum of exponentials,
% equivalent to log(sum(w.*exp(... |
f41826f995303129c5f1561b4dc9cb74d0e0e60a111b53040551136ec37f7623 | MATLAB | 1,114 | 33 | %HOT Black-red-yellow-white colormap
%
% Examples:
% map = hot;
% map = hot(len);
% B = hot(A);
% B = hot(A, lims);
%
% Similar to MATLAB's hot function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor a... |
c506a8b704c8e3a567e5a3b4294dc5538261b52fa12c46d968e37493d4299cae | MATLAB | 1,116 | 33 | %COLD Black-blue-cyan-white colormap
%
% Examples:
% map = cold;
% map = cold(len);
% B = cold(A);
% B = cold(A, lims);
%
% A black to white colormap through cold shades.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor array using the colormap.
%
% IN:
... |
757fe92f61522cc0def023d10a13a8514d29f966d3ccccf5b410f25efdaa48e1 | MATLAB | 1,118 | 42 |
dim = 128;
dim_kernel = 5;
pad = (dim_kernel-1)/2;
num_ev = 500;
inicio = 1;
num_sc = 10;
frame = zeros(dim,dim);
Ch = zeros(num_sc,dim,dim);
Cv = zeros(num_sc,dim,dim);
path = 'D:\Datasets\Test\sample10_128\';
fname = 'mnist_0_scale16_0001.aedat';
[allAddr,allTs,ISI,monTime] = loadaerdat(fname, path);... |
9fec78154d21f26e72453de1228a8bbbe1198c451ace73d953235aa067d2faf5 | MATLAB | 1,118 | 50 | function f = dimidatedGaussian(x, mu, sigmaLeft, sigmaRight)
%{
persistent SQRT2PI;
if isempty(SQRT2PI)
SQRT2PI = sqrt(2/pi);
end
%}
persistent SQRT12;
if isempty(SQRT12)
SQRT12 = 1 / sqrt(2);
end
% Special cases
if isempty(x)
f = x;
return;
en... |
84e3aca1e2be5d03a22b8f708cd59fb5ac7b182c8e4a97285a490625eab9c44e | MATLAB | 1,119 | 31 | function [spectrum, freq] = pWelchSpectrum(signal, windowSize, overlap, nfft, fs, maxFreq)
%% Calculate powerSpectrum using pWelch's method
% By Joachim, updated by Mattia
% INPUTS:
% signal: ´ signal in row vector
% windowSize: windowSize in sec (2)
% overlap: overla... |
3177bf6448a7eb61c4932dc4950636c67f34c2eb5e679fe0cd66f822a105c069 | MATLAB | 1,120 | 37 | function tiny_recon(connection)
tic;
try
% Once the connection is consumed, calling next will throw an
% exception. We wrap the loop in a try here to avoid printing an
% error.
while true
recon_data = connection.next();
data = permute( ...... |
372b5bdd406e3aaa8c2519a1c485c591f51544fdf978ddd534ff5c0d57399578 | MATLAB | 1,120 | 39 | %%
% Bi-normal cumulative distribution function.
function [c] = bigausscdf(x, mu, sigmaL, sigmaR, tolerance)
if nargin < 3 && iscell(mu)
if numel(mu) < 3
c = normcdf(x, mu{:});
else
c = bigausscdf(x, mu{:});
end
return;
end
if nargin < 5
tolerance ... |
684ba87be8109654bcaf7ff7b20fa3fa9e23b85cd52909ee2b6290db3728ccf6 | MATLAB | 1,120 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
091c5c4e77fa151aad42c3b7f20f577a55485e54b241346fe4f0627ad887a781 | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
196fe0cb86ee37ef01b1a01a969a50074a0b1a0dc9b957acfb1ec2d16b55e002 | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
1db81341781691983a2a6c2713d1e4d013ceb88f36c82ad7e4b6dccbfaf17125 | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
383bd258fb2cc5781721bc3f0bce96c37cd48b658a73a0e2652f834608f7fc8a | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
4959f4451fe5a7b5c7223d81518af588c4b7f7556951f53a0fbd94a4b2dfee97 | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
4b70ef61f1e62854fbe2174edeb8170262459e0315e547189d9578fb8c0f0e95 | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
809e06c917f597a76b0737c3c7e7bffd7a5b2a32ba83df7ef718e97291c9659e | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
8a3c956d85e56601d97dcd67b1b4ec5b9622f4eb02452eac4f043f6f50d7bf42 | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
9d9a5748c56b2483d0def6115f331a09f9609adf338bc6ecf5dca3d2a56bfd8a | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
e54b2d2b7a87a2f43362478dc6061c26a9da4e00e095c1e8e3c7ab6b09005437 | MATLAB | 1,121 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
18da2e04a598d987cd0eeff382f9447286e8ea47a9ec273ea6d5dccd5994ae73 | MATLAB | 1,122 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
63487a5e72ece7e0608c43f09d4bc7d66ba0ce54f87a10a86f2451a7f5166e69 | MATLAB | 1,122 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
a9887ade6547ea0931af20e864e452071ec7827ca9ca224ee8653db144de84ac | MATLAB | 1,122 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
badab50c2a8fee217e028a87bc281844a36bb230b614fc3a35098618ba62b7f1 | MATLAB | 1,122 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
e4af9bffd9b24e4d94545b2f00281f1d65f225e57e8ed4655f6792fc52c36be7 | MATLAB | 1,122 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
c177822cd8f1f8d5a73e2c9a382a385bcbce7b00fb01e74762ab516d8c255680 | MATLAB | 1,123 | 37 |
clc;clear all;close all;
load /deneb_disk/SCD_BOLDdata/atlas.mat
full_graph=atlas_data';
sample_rate=.1;
para_sigma=1;
nSurf=32492;
% This is sample code that finds reduced set of vertices based on method by Minqi Chong for the
% grayordinates. Handling full grayordinates at once takes a lot of memory
% a... |
793c402a21aa837aec135018f559a3ee22c1ca2b49583d6ae9097e833c642097 | MATLAB | 1,125 | 33 | %COLD Black-blue-cyan-white colormap
%
% Examples:
% map = cold;
% map = cold(len);
% B = cold(A);
% B = cold(A, lims);
%
% A black to white colormap through cold shades.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor array using the colormap.
%
% IN:
... |
7db22907d9431b52ade623d9429b2fcac0ec9e32ec666868279e2e36fd07756f | MATLAB | 1,125 | 45 | function y=nt_dft_filter(x,transfer,N)
%y=nt_dft_filter(x,transfer,N) - apply filter using DFT
%
% y: result
%
% x: data (time*channels)
% transfer: transfer function (size=N/2)
% N: number of samples to use in DFT (default: next power of 2)
%
% Data are zero-padded to N.
if nargin<3||isempty(N); N=2.^nextpow2(s... |
ac9c8d773185854bbc832f396db5bb15f09694eee2022d46eb3d49f97900e78f | MATLAB | 1,127 | 26 | %% Demo 4 - One-way repeated-measures ANOVA (random intercept)
% A within-subject factor handled by a random intercept reproduces the one-way
% repeated-measures ANOVA. Shown on the ergoStool dataset (nlme; Wretenberg et al.
% 1993): 9 subjects each rate the perceived effort (Borg scale) of rising from
% four stool typ... |
f31ee615e4baf09e5924354462f9c327475f39308bd511ea982b00e2f0bd100f | MATLAB | 1,127 | 57 | close all; clear all; clc
addpath(genpath('/data/code/matlab'));
prepOutput;
%%%% PARAMETERS %%%%
% Database
database{1} = '/data/coord/tyr/tyrunits';
database{2} = '/data/coord/zen/zenunits';
% Data files
dataDir = 'data/pow';
% Display
linProp.col = {'k','g','r','b','m'};
linProp.width = 2;
% Save params
sav... |
530699c9f70561c872eaa3872f5e097be74919d561ebf1f07638abe8b157b7f6 | MATLAB | 1,128 | 46 | function [rep] = array2str(x, bracketize, colSep, rowSep, precision)
if ~ismatrix(x)
error('array2str:input', 'Only possible for dimension 1-2 arrays, received %d instead.', ndims(x));
end
if nargin < 2
bracketize = inf;
end
if nargin < 3
colSep = ', ';
end
if nargin ... |
ca5a47a2afbed095c8ead3e226983cf624b2ab7840c9099d7b161ba1f1d51327 | MATLAB | 1,128 | 39 | function [stack, rowCal, columnCal, sliceCal, fileName, pathName] = readCZI2channels(varargin)
% Assumes that there are 2 channels
if nargin==2
fileName = varargin{1};
pathName = varargin{2};
else
[fileName, pathName] = uigetfile('*', 'Pick a file');
end
% Get the extension
[~,~,extension] = fileparts(fi... |
116f881ec0f98a9f3ededccea8584740e484ff6ce09f4fc82277b593a748725c | MATLAB | 1,130 | 45 | function plan = buildfile
plan = buildplan(localfunctions);
plan.DefaultTasks = "test";
plan("test").Dependencies = "compile";
plan("bench").Dependencies = "compile";
plan("package").Dependencies = "compile";
end
function compileTask(~)
add_tooling_path();
gcmi_cpp_mex_compile();
end
function testTask(~)
add_tooling_... |
90f55a85dbbcbd887c430f886d0f73751f47034a3bb5e5d31722133e008369b0 | MATLAB | 1,131 | 22 | clc;clear all;close all;restoredefaultpath;
%addpath(genpath('/big_disk/ajoshi/coding_ground/bfp/supp_data'))
addpath(genpath('/home/ajoshi/Projects/bfp/src'));
% 1050345 rest 2
% Set the input arguments
configfile='/home/ajoshi/Projects/bfp/supp_data/config_bfp_preproc_minimal.ini';
t1='/home/ajoshi/Downloads/for... |
39c6615f8d34bfe50aa7d86e9b2408325eb1cc065e0f56660be0a8aee865a489 | MATLAB | 1,132 | 52 | function out = circmean(x,varargin)
% CIRCMEAN(X,{DIM},{MODE})
% Calculate mean of angles. Useful for calculating mean color properties in
% polar color models.
%
% X is an array of angles in either degrees or radians.
% DIM optionally specifies the dimension along which to operate (default 1)
% MODE optionally ... |
5e99423ee79858077062d2fe6b2e8e536498a8ae0c966ba3e47cb9954c8233ce | MATLAB | 1,133 | 45 | function [rms,sd,all]=nt_bsrms(x,N,w)
%[rms,sd,all]=nt_bsrms(x,N,w) - calculate rms, estimate sd using bootstrap
%
% rms: rms over second dimension of x
% sd: standard deviation of rms calculated by bootstrap
% all: matrix of all trials
%
% x: matrix of observations (time X repetitions)
% N: number of bootstrap ... |
abd47e749ed42389c9feb405a66518c4253d1c89e65c6771e78ac1e6b9f241f9 | MATLAB | 1,134 | 46 | function [mn,sd,all]=nt_bsmean(x,N,w)
%[mn,sd,all]=nt_bsmean(x,N,w) - calculate mean, estimate sd using bootstrap
%
% mn: mean of x over second dimension
% sd: standard deviation from mn of bootstrap trials
% all: matrix of all bootstrap trials
%
% x: matrix of observations (time X repetitions)
% N: number of bo... |
73c370f132be8a9007580ce2a04a3c0108e0ea999258ab642e1d5acc20f2e274 | MATLAB | 1,135 | 44 | function S02_create_GLM_empty_onsets(subject, game)
root_path = 'YOUR_DATA_PATH';
main_dir = strcat(subject, '/', game) ;
sess_no = 5;
GLM_name = 'GLM_empty';
mkdir(strcat(root_path, main_dir, '/GLMs/', GLM_name, '/'));
for run_no = 1:sess_no
clear no_of_volumes_to_remove
clear first_volum... |
b3b76cebba39e63406b05e4088ba5bc0a928f1f4f4202c05d2ff8c63062e079c | MATLAB | 1,135 | 38 | %%
% Piecewise assignment of values, with lazy execution
% piecewise(x, range1, value1, range2, value2, ..., rangeN, valueN, valueOut)
% If x is outside of all ranges then the return value is valueOut.
% Ranges are to be provided as upper bounds (not inclusive) and expected
% to be in ascending order... |
d1aac7bad222a3cc4281da78b7553e97556363367c78f81e453518e2af642a34 | MATLAB | 1,135 | 33 | function kbsaveFigure(fig, filePath, fileTypes, figWidth, figHeight)
[fdir, fname, ~] = fileparts(filePath);
filePath = fullfile(fdir, fname);
fileTypes = cellstr(fileTypes); % ensure cell array
figPos = get(fig, 'Position');
if nargin < 4
figWidth = figPos(3);
figHeight = figPos(4);
end
fig.Position(3:4) = [... |
f21a6f7b60c734a60aa327957c5dc7aca6251c32ea98a5688306928d5472d56b | MATLAB | 1,135 | 48 | function CBIG_PartitionSubjectsVarargin(num_subjects, varargin_txt, out_path)
% Split subject's list into several lists and each list contains num_subjects.
%
% CBIG_PartitionSubjectsVarargin(num_subjects, varargin_txt, out_path)
% Input:
% num_subjects: number of subjects included in each text file
% ... |
74022e00292c9ac86b03d86357fb7d6a44ea7396fb37e3d2a4658b0021cc8dc8 | MATLAB | 1,137 | 38 | function [out,cc]=cntrdW4(im,mx,ra)
%cntrd: calculates the centroid of bright spots to sub-pixel accuracy
% based on indice vector operation instead of looping;
%
% created by Pei-Hsun Wu 10/04/2019 at JHU
% added radius estimators 11/08/2019 PW.
% added radius estimation based on std 05/21/2020 PW
msk=mskci... |
ba5d28c0434cd9b9369f01fc907bdccd13a2e9cf842816d5caec25b2b2fe8dfd | MATLAB | 1,137 | 36 | function weight=getWeights(X1D)
% creates the weights for quadrature / numerical integration
%function weight=getWeights(X1D)
% this function calculates the weights for integration/the volume of the
% cuboids given by the 1 dimensional borders in X1D
d=length(X1D);
% puts the X values in their respective dimensions t... |
31ce86487a5645adf0aa942ebb95f7ae64c3102266a77dc39e6ed31f3d75a5e7 | MATLAB | 1,140 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
33e1b9491ba32939904b52099948630744ff0e09c3863d799599576555af7488 | MATLAB | 1,140 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
51f4a80d0affd0c9ef443bed394bc81f28905d8ef5f8da30501e631ee41b8fa8 | MATLAB | 1,140 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
598eb4479fe653678dae1a9a2ba429b83ef1098cba41f7d024f9a4f5d14f71c7 | MATLAB | 1,140 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
cc98cee9829d5e48c714f3d95d37d75be5566db9745150a2df3ffb9fde919749 | MATLAB | 1,140 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
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