sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
20885278415e3e59199380d2fca6efa4242f8e27c0763e753114384ec53142d3 | MATLAB | 2,497 | 37 | function DrawFixation(display)
fixcolor1 = [255 255 255];
fixcolor2 = [255 255 255];
fixcolor = [255 255 255];
offsetfix = 5; %px to compensate on lcd
%right and left lines of box
%left
Screen('SelectStereoDrawBuffer',display.windowPtr, 1);
Screen('Drawline',display.windowPtr, fixcolor, display.resoluti... |
8bd8aa0ce0c359995ea8a293026e9eaaaa3259870838c97d30e67ebe9312f1b0 | MATLAB | 2,497 | 187 | function [img,coords] = makeMontage(imgCube, sliceList, fileName, numAcross, backVal)
%img = makeMontage(imgCube, [sliceList], [fileName], [numAcross], [backVal])
%
% Compiles a montage image from the images in imgCube.
% (imgCube is x by y by sliceNum)
% sliceList, if specified, determines which slices to extract.
... |
d3efb8c6fa4dfdcbb933ec2e71cb14669d5d005377f8fdbabb7021c8f6309b32 | MATLAB | 2,497 | 78 | function [logp, yhat, res] = tapas_beta_obs(r, infStates, ptrans)
% Calculates the log-probability of responses representing probabilities on the unit interval
%
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2013-2016 Christoph Mathys, TNU, UZH & ET... |
e9e33e784d2e2c3b4a8a81894086f9da034d23f944275e4f90a737fb1575d5eb | MATLAB | 2,497 | 70 | function [Xsol, S0] = rasr_nonlinear_eigenspace(L, k, alpha)
% Example of nonlinear eigenvalue problem: total energy minimization.
%
% L is a discrete Laplacian operator: the covariance matrix
% alpha is a given constant for optimization problem
% k determines how many eigenvalues are returned
%
% This example is moti... |
3ba145a4a2d451c41ec83a71ecddad71476c99636be181257c9e76c64f0a4cd1 | MATLAB | 2,498 | 69 | function this = MrAffineTransformation_constructor(this, testVariants)
% Unit test for MrAffineTransformation Constructor
%
% Y = MrUnitTest()
% run(Y, 'MrAffineTransformation_constructor')
%
% This is a method of class MrUnitTest.
%
% IN
%
% OUT
%
% EXAMPLE
% MrAffineTransformation_constructor
%
% See also MrU... |
52417b20612c841a00badf7294ede07b66137f66ee2a0c22763cf73025456d98 | MATLAB | 2,498 | 91 | function [traj, infStates] = tapas_rw_binary_dual(r, p, varargin)
% Calculates the trajectories of v under the Rescorla-Wagner learning model for dual updates.
%
% This function can be called in two ways:
%
% (1) tapas_rw_binary_dual(r, p)
%
% where r is the structure generated by tapas_fitModel and p is the pa... |
cf989ee64b15777575b50e3777517a2adedb132a1c2ad9a22413a218808424d4 | MATLAB | 2,498 | 68 | function frameMovie(fde,cfg,varargin)
% Display animation of the frame data
%
% function frameMovie(fde,cfg,varargin)
%
% This function shows the evolution of FrameStream data over time. It
% visualizes the data at each time point as a surface over the 2D array of
% channels, in the same way as the plot function... |
036fc75ae5f9297a87d36bff41f8ce34d3005e422a98ae44077d2864bd9b1c7d | MATLAB | 2,499 | 73 | function this = load_par(this, filename)
% Loads Par (Philips)-Header information referring to geometry into object
%
% Y = MrAffineTransformation()
% Y = Y.load_par(fileName)
%
% This is a method of class MrAffineTransformation.
%
% NOTE: This is based on the header read-in from GyroTools ReadRecV3
%
% IN
%
% OUT
... |
0f5f1dcd2cec22d22b45f9bb27a2c78ab9cb1e85003d10c5c6528d8eabc101c9 | MATLAB | 2,499 | 101 | function [WUinit] = init_template(ops,Nchan)
nt0 = ops.nt0;
Nfilt = ops.Nfilt;
Nrank =ops.Nrank;
tps = [1 5 10 25 40 50 61];
tps = round(tps * nt0/61);
vs = [0 0 0 -2 1 0 0];
fs= interp1(tps, vs, 1:nt0, 'linear', 'extrap');
W(:,1,1) = my_conv(fs, 2);
tps = [1 5 10 25 40 50 61];
tps = round(tps * nt0/61);
vs = [... |
41e11cb367434345f60f83b376fb3e6b3997cdfb7b85d26b67b02004e646cd60 | MATLAB | 2,500 | 71 | function [data_high,pks_frame,pks] = findHighactFrames(data,pks)
% find high activity frame using a threshold determined from shuffled data
% INPUT:
% data: N-by-T spike matrix
% pks: significant level of frame activity; if left empty ([]), this
% function will determine its value using shuffled data
% ... |
b8187ef392d5201d719551da67d7479acb1f859da1cf6cadbd3b056d0f499939 | MATLAB | 2,501 | 93 | % op_filter.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% [out,lor]=op_filter(in,lb);
%
% DESCRIPTION:
% Perform line broadening by multiplying the time domain signal by an
% exponential decay function.
%
% INPUTS:
% in = input data in matlab structure format.
% lb = line broadening factor in Hz.
%
... |
0f2c2f6f7b02d5becd47e65eaf47b8fa936f02b0ad13cffe47ab2f1d9cca186b | MATLAB | 2,502 | 76 | function this = compute_tissue_probability_maps(this)
% Computes tissue probability maps
%
% Y = MrSeries()
% Y.compute_tissue_probability_maps(inputs)
%
% This is a method of class MrSeries.
%
% IN
%
% OUT
%
% EXAMPLE
% compute_tissue_probability_maps
%
% See also MrSeries MrImage segment spm_preproc
% Author... |
2446e2e58354738e2213d9506a0d602022762cdd9bcebd059abb8099f990e7f6 | MATLAB | 2,502 | 90 | function [ subject ] = nmri_stamp_subject( subject, stamp_item, params )
%[ subject ] = nmri_stamp_subject( subject, stamp_item, params )
% This will add a "stamp" to subject struct to mark a processing step has
% been sucsessfully completed. If the same stamp is there, a warning will
% be issued but overwritten
... |
29d909774edcd06ff5f8416450c6e769cc2f64a8c1246254418ed085644c86ac | MATLAB | 2,502 | 91 | function [b, tau, er, exp_t_1_coeff, stats, bestfit, bint, rint] =...
regress_latency_vs_rew(A, nback, z_arg, hit_arg, blk_arg, varargin)
if isfield(A, 'pd') %if it's an S struct.
[A, ~, ~] = parse_data_from_mysql(A);
end
if isempty(varargin)
usethese = true(size(A.block));
else
usethese = varargin{1}... |
3b8398b5f82013a953c8fe351cce3e02d87b961c2fcbe15e4454032b136db295 | MATLAB | 2,502 | 97 | %{
monet.Fit (computed) # fitting RFs for computing significance
-> monet.CleanRF
-----
x : float # (degrees) RF location away from center
y : float # (degrees) RF location away from center
radius : float # (degrees) geometric mean of major and minor axes
aspect : float # aspect ratio
orientation : float #(degr... |
61ef3e5dccebd8fa9aac6ab5357114081e6a5fd4018c47776820fc4fb3e9b6bf | MATLAB | 2,502 | 123 | function [imo,rois] = fast_rcnn_eval_get_batch(images, imdb, batch, opts)
% FAST_RCNN_GET_BATCH_EVAL Load, preprocess, and pack images for CNN
% evaluation
% opts.numFgRoisPerImg = 128;
% opts.numRoisPerImg = 64;
% opts.maxScale = 1000;
% opts.bgLabel = 21;
% opts.visualize = 1;
% opts.scale = 600;
% opts.interpolatio... |
1f4f06b576650df25db5c7f6e3ba16b65e6a61957a05da47e37466e4de041360 | MATLAB | 2,504 | 95 | function mesh = fixpos(mesh, recurse)
% FIXPOS helper function to ensure that meshes are described properly
if nargin==1
recurse = true;
end
if isa(mesh, 'delaunayTriangulation')
% convert to structure, otherwise the code below won't work properly
ws = ft_warning('off', 'MATLAB:structOnObject');
mesh = struc... |
3a68ce85c8422963da81e9a9658b526cdea80daa5ca140008d139e13850d9874 | MATLAB | 2,504 | 93 | function mdot(mmat, dotfile,f)
%MDOT - Export a dependency graph into DOT language
% MDOT(MMAT, DOTFILE) loads a .mat file generated by M2HTML using option
% ('save','on') and writes an ascii file using the DOT language that can
% be drawn using <dot> or <neato> .
% MDOT(MMAT, DOTFILE,F) builds the graph containing... |
57c2bde9eaf84e052eec2a1c30d0dc992078751eac1cf7a7d7e288be8580a0ee | MATLAB | 2,504 | 125 | %% chi = FANSI_4sepia(phase,magn,spatial_res,alpha,mu,noise,options,B0_dir)
%
% Description: Wrapper to use FANSI under Sepia
%
% Kwok-shing Chan @ DCCN
% k.chan@donders.ru.nl
% Date created: 1 April 2019
% Date modified: 17 Feb 2022
%
%
function chi = FANSI_4sepia_v1(phase,magn,spatial_res,alpha,mu,noise,options,B0_d... |
0d0fe54889a025835d87002f33c2ca834d837b105aad2129ce59fca674f5e7b2 | MATLAB | 2,505 | 59 | function [weights] = create_cosine_weights(channels, srate, epoch_size, fullshift)
%cosine weights to avoid overlaps for seamless re-contruction
%% Creative Commons License
%
% Credits: Abele Michela & Tomas Ros
% NeuroTuning Lab [ https://github.com/neurotuning ]
% Center for Biomedical... |
f1f063990f3fcdfa88a3a3748bfc23828d9dafce7f3f051e61fbf3156756b7a5 | MATLAB | 2,508 | 80 | function [ balancedPurity ] = tapas_huge_bpurity( labels, estimates )
% Calculate balanced purity (see Brodersen2014 Eq. 13 and 14) for a set of
% ground truth labels and a set of estimated labels
%
% INPUTS:
% labels - Vector of ground truth class labels.
% estimates - Clustering result as array of assignment... |
1abbd2ad87702fe41bb633c2ed22bda6433f2f518eb5cc9877c32a91fc904a83 | MATLAB | 2,509 | 74 | function croppedImages = crop_all(this, rangeIndexArray, otherImages)
%Crops all given images to same range as this image
%
% Y = MrDataNd()
% Y.crop_all(rangeIndexArray, otherImages)
%
% This is a method of class MrDataNd.
%
% IN
% rangeIndexArray cell(1,2*nDimsToCrop) of pairs of
% dim... |
e989717a994298eeb65d534f9dd169b39c51a71bd79fc3a9c51b51098c5178ac | MATLAB | 2,509 | 84 | function y = vl_nnsoftmaxloss(x,c,dzdy)
%VL_NNSOFTMAXLOSS CNN combined softmax and logistic loss.
% **Deprecated: use `vl_nnloss` instead**
%
% Y = VL_NNSOFTMAX(X, C) applies the softmax operator followed by
% the logistic loss the data X. X has dimension H x W x D x N,
% packing N arrays of W x H D-dimensional... |
b91e259c3a7cf14ec97f82c20bf3e759b3b82321ba8248d99e3d0b1afa947f86 | MATLAB | 2,511 | 93 | function phiBC = cellBoundaryRadial2D(phi, BC)
% function phiBC = cellBoundary2D(MeshStructure, BC, phi)
% It creates the matrix of coefficient based on the BC structure provided
% by the user. It also generates the right hand side vector of the linear
% system of equations
%
% SYNOPSIS:
% phiBC = cellBoundary2D(Mesh... |
c99eedd8a207e146127f3d0e61eac538ea7cc0c60880c4c6ce205c5d36640c8c | MATLAB | 2,511 | 78 | % op_lorentz.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% y=op_lorentz(pars,ppm);
%
% DESCRIPTION:
% Generate a parametrized lorentzian peak.
% This function is fed into fitting tools to enable fitting of peaks using
% lorentzian lineshapes.
%
% INPUTS:
% pars = The parameters of the Lorentizan funct... |
769428e81d71b025fc44cf79307eb6db6f84f7f988c4a8ea58c237f95ec1046a | MATLAB | 2,512 | 49 | %% library thangs
run('set_library_paths.m');
addpath(SPM_PATH); % per spm docs, do not genpath it
addpath(genpath(CANLABTOOLS_PATH));
addpath(genpath(CANLABMASKS_PATH));
%% variables that must be specified before the script is called
% region: a cell of 1 or more ROI names in NeuroimagingPatternMasks syntax. will all... |
2396c6b71aa8983520314bb0632562d468e1c02f47606d2fc5a4856e30d286d8 | MATLAB | 2,513 | 93 |
clear; close all;
!chmod +x sor06
!make clean
!make
%% load in output from fluids model
Qdat = dlmread('DP1_inflow.dat');
% inflow_param = Qdat(13:end,:);
% get_inflow(Qdat,16385,inflow_param);
dlmwrite('inflow.dat',Qdat,'delimiter','\t')
%% Define the nominal parameters
f1 = 2000000;
f1p1 = f1;
f1p2 = f1;
f1p3... |
4d1d8c515d6b8a8438367d5f89abbc56668057f60914a46b667ca24103c48bd8 | MATLAB | 2,513 | 65 | function [ output_args ] = findICAAssemblies( deltaFoF , KS_significance )
%FINDICAASSEMBLIES( deltaFoF , KS_significance )
%
%
% === Jan Moelter, The University of Queensland, 2018 ===================
%
narginchk(1,2);
if( nargin == 1 )
KS_significance = 0.1;
end
if( size( deltaFoF , 1 ) >= size( deltaFoF , 2 ... |
546cfe26ca6a0b1cdc75a5b671780b78ae331e7f322d783cfbbc1917ea15af0b | MATLAB | 2,513 | 69 | function [isPhysioVisibleForSpmBatchEditor, pathSpm, pathPhysIO] = ...
tapas_physio_check_spm_batch_editor_integration(isVerbose)
% Checks whether PhysIO-configuration file for matlabbatch is in subfolder
% of SPM/toolbox and returns a warning, if not
%
% [isPhysioVisibleForSpmBatchEditor, pathSpm, pathPhysIO] = ... |
eb9565b47e6551d76c58543595c0253da580a86c67d960eb9f7527b37d034a72 | MATLAB | 2,513 | 80 | function new = copyobj(obj, varargin)
% This method acts as a copy constructor for all derived classes.
%
% new = obj.copyobj('exclude', {'prop1', 'prop2'});
%
% IN
% 'exclude' followed by cell(nProps,1) of property
% names that should not be copied
% NOTE: Proper... |
b397de2280c74e4f5997a47ecdfbdd3c54f29e16877229867ae9c60c59d4e733 | MATLAB | 2,514 | 83 | function T16 = computeDisruptionsAfterInst(T, assessmentValue, ageCutYears, doPlot)
if nargin < 2 || isempty(assessmentValue), assessmentValue = '16-year assessment'; end
if nargin < 3 || isempty(ageCutYears), ageCutYears = 16; end
mustHave = {'ID','assessment','age_days_enter_inst','age... |
bad2794a82d36b5e30a4247cb4228283c9048af1982c4552da5884161ae458fd | MATLAB | 2,514 | 61 | function [timeSeriesGroup,classLabels,groupLabelsInteger,numGroups] = TS_ExtractGroupLabels(TimeSeries)
% TS_ExtractGroupLabels Extract group labels from a TimeSeries table
%---INPUT:
% TimeSeries, the input TimeSeries table in HCTSA format.
%
%---OUTPUT:
%
% -------------------------------------------------------... |
133eafb31b51773e7f7f8827d684b160389a2a104a98f3557a462eab05aafb66 | MATLAB | 2,515 | 74 | %% get_set_swismwi_smwi(h,mode,input)
%
% Input
% --------------
% h : structure contains all handles of SEPIA
% mode : 'set' - extract information from GUI to config file
% 'get' - extract information from config file to GUI
% input : if mode is 'set' then input should be f... |
28aec7b3cd4b1bbdefd805c8975edca4ab090e9efeb5569282efcdd586352c62 | MATLAB | 2,515 | 63 | %% =============================
% PALM Analysis: re-reextinction CS × TUS
% =============================
% --- Locate repo root (relative to this script)
thisfile = mfilename('fullpath');
[scriptdir, ~, ~] = fileparts(thisfile);
cd(scriptdir); % Ensure consistent working dir
% Navigate up to FEARTUS root
% palm_c... |
4b261b23538e2b931313972a6036cbbedd0aa3dc567bcea38175722a56379c2e | MATLAB | 2,515 | 99 | function run_conductance_hcp(varargin)
% Compute conductance maps from tensors computed with DSIstudio
% Adapt paths and file names to your own
%
% Example: run_global_connectivity_hcp(100307)
%
% Author: Aina Frau-Pascual
%%% Load folders and code
% Add code folders to path
folder='Code/FVT4DWI';
addpath(genpath(fo... |
afcb4eadd3e7f23e247af7c520d8aa0a0d93e4cfed0e4575edb88a34ab451616 | MATLAB | 2,515 | 58 | function selectionIndexRangeCell = tapas_uniqc_convert_selection_array_to_range(...
selectionIndexArrayCell)
% Converts array of single element selection cells (name/value pairs) into
% single cell of name / range pairs
%
% selectionIndexRangeCell = tapas_uniqc_convert_selection_array_to_range(selectionIndexArray... |
d856e6c08b476e25d91726808c3efc04f658c9011d9d8babba5bb0746af05fda | MATLAB | 2,515 | 63 | %% =============================
% PALM Analysis: re-reextinction CS × TUS
% =============================
% --- Locate repo root (relative to this script)
thisfile = mfilename('fullpath');
[scriptdir, ~, ~] = fileparts(thisfile);
cd(scriptdir); % Ensure consistent working dir
% Navigate up to FEARTUS root
% palm_c... |
eeba3a06b7efd5f0e31821efc4895a65c5a05490e440502b4c10efb1774b31c0 | MATLAB | 2,515 | 87 | function data = eventLockDataSmooth(R, M, eventName, tPts, varargin)
% data = eventLockDataSmooth(R, M, eventName, tPts [, smoothSD] [, rois] [, field])
%
% Similar to eventLockData() and eventLockDataFluor(), but smooths the
% data.
%
% Like eventLockData() and eventLockDataFluor(), this function returns data
% that... |
81bb786f9895003170392fc58bcf5366212b3c0ee248b4a42c977b23dbd7c6e1 | MATLAB | 2,518 | 55 | function fit = extract_fit(fit,FitResults,Model,x,y)
%extract_fit(fit 'struct', FitResults 'struct', Model 'string', x 'double', y 'double')
%transform fit results to "human readable" variables
%
% fit : struct containing fitting results
% FitResults : fitting results
% Model : "Biexp", "Biexp_T1c... |
1156491f28627544fa7201888e4c156135739e3d29e3323bcec348fdcc5cdec2 | MATLAB | 2,520 | 103 | % op_takesubspec.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% out=op_takesubspec(in,index);
%
% DESCRIPTION:
% Extract the subspectra with indices corresponding to the 'index' input
% array.
%
% INPUTS:
% in = input data in matlab structure format.
% index = vector indicating the indices of the subspec... |
7dd2c717c6edc01f0f0d8439e1bc0e1f26e23e1d6935dee5a1ab37e3aa531f5b | MATLAB | 2,520 | 71 | function update_properties_from(obj, input_obj, overwrite)
% Updates properties of obj for all non-empty values of inputpobj recursively ...
%
% Y = MrCopyData()
% Y.update_properties_from(input_obj, overwrite)
%
% This is a method of class MrCopyData.
%
% IN
% input_obj either MrCopyData or a struct with the s... |
9c4e20b37d51ab09c1c5f3331c41654dde9a4e0614c2ca5c53ccf2f30d5cc0d4 | MATLAB | 2,520 | 84 | % Call the 1D model with the given parameters and return pressure and flow
% signals
function [p_out,q_out] = call_1D_model(pars,par_ids,par_baseline)
% NOTE: assume we are log-scaled here, so exponentiate out
pars = exp(pars);
% tot_ves = C_inputs(1);
% tot_term = C_inputs(2);
% num_pts = C_inputs(3);
in... |
af1ac9c108998df464701f15fc73ce3fa990f9c86b590f270aad78a702f339c3 | MATLAB | 2,520 | 63 | function h = arg_guipanel(varargin)
% Create a uipanel that displays an argument property inspector for a Function.
% Handle = arg_guipanel(Options ...)
% Handle = arg_guipanel(Parent, Options ...)
%
% The handle supports the method .GetPropertySpecification(), by means of which the edited argument
% specification can ... |
796d1549344aef4eabfb0ebbb5e210e3599b3305e14f33a3ea052c432a8c4ac4 | MATLAB | 2,521 | 73 | function [C,C2] = iem_trialwise_interp_double(data,angs,angs2,foldvar,angspace,angspace_targ,angspace2)
% [C,C2] = iem_trialwise_interp_double(data,angs,angs2,foldvar,angspace,angspace_targ,angspace2)
nChan = length(angspace);
nChan2 = length(angspace2);
nChan_targ = length(angspace_targ);
ntime = size(data,3... |
2c9a248183894a0e12ddfb6aabc43eeb1270884fcaccd87fc2a2d3b0fd15c606 | MATLAB | 2,522 | 97 | %{
aod_monet.Fit (computed) # fitting RFs for computing significance
-> aod_monet.CleanRF
-----
x : float # (degrees) RF location away from center
y : float # (degrees) RF location away from center
radius : float # (degrees) geometric mean of major and minor axes
aspect : float # aspect ratio
orientation : floa... |
5dd538e03b6f5579fc0b307c363aa90c9236ddc0c14c88cb8011af4a7acf346e | MATLAB | 2,523 | 102 | function [inference] = tapas_sem_hier_inference(inference, pars)
%%
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
if ~isfield(inference, 'estimate_method')
inference.estimate_method = @tapas_mcmc_blocked_estimate;
end
if ~isfield(inference, 'initialize_states')
inference.initialize_states = @tapas_sem_h... |
86ea2a6aa4c7e36d665118af7ffcaad3b08866a9687e1570c94a0b8c41c00ecd | MATLAB | 2,523 | 92 | function tapas_sem_trapp_int_check_input(u, theta, ptheta)
% Check whether the input is compatible with mpdcm. If not an error is
% returned.
%
% Input:
% u -- Structure. Inputs to DCM in mpdcm format.
% theta -- Structure. Model parameters in mpdcm format.
% ptheta -- Structure. Priors of the model in... |
ee3684d1c6e3d0ad20c8620f38cc75652e0a3e7f56987bbc77cad490f1f324d8 | MATLAB | 2,523 | 111 | function x = perform_histogram_equalization(x,y,options)
% perform_histogram_equalization - perform histogram equalization
%
% x = perform_histogram_equalization(x,y,options);
%
% Change the values of x so that its ordered values match
% the ordered values of y.
%
% You can set
% options.cols=1 to operat... |
f4c079d4e2b7f3afc224bd70d5b28db1a25cc385c9a140bfd113a89d8c0c2ea0 | MATLAB | 2,525 | 73 | %% [unwrappedField] = Wrapper_Unwrap_ROMEO_singleEcho(wrappedField,mask,matrixSize,voxelSize,algorParam, headerAndExtraData)
%
% Input
% --------------
% totalField : total field map (background + tissue fields), in Hz
% mask : signal mask
% matrixSize : size of the input image
% voxelSize : spatial ... |
3c8bc3571375a8fe7cea9d4d182c13a66eec0c5d530a47d0f176f783f86e696c | MATLAB | 2,526 | 75 | % Main script for resamping subject-specific laminar SANDI surface overlays to the fsaverage surface
% using FreeSurfer mri_surf2surf
%
% Reference:
% Lee H, ..., Huang S, Communications Biology, 2026
%
% Requirements:
% - FreeSurfer installed and configured
% - FreeSurfer recon-all completed for each subject
% - Subj... |
f9393c79d2d99d65bf5c8e0b79e27b2ac71914df01a7e37960d7dcfafee6b58c | MATLAB | 2,526 | 50 | % function performance = get_performance_rh(ensmat_gt,enscells_gt,ensmat_det,enscells_det)
function perf = get_performance_rh(ensmat_gt,enscells_gt,ensmat_det,enscells_det)
% Computes the performance of detection algorithm based on ROC AUC and
% Jaccard index.
% Reference paper: Herzog et al. 2020 "Scalable and accurat... |
159041ebfeb0019dd74ee81f10267385b5ed5c888eb479b8e8fb3e022ac22b3e | MATLAB | 2,527 | 77 | function [ output_args ] = bestmatch_expectation( N , numelA , numelB , nA_dist , nB_dist )
%BESTMATCH_EXPECTATION( N , numelA , numelB , nA_dist , nB_dist )
%
%
% === Jan Moelter, The University of Queensland, 2017 ===================
%
% N = 20;
% numelA = 2; numelB = 3;
%
% mA = 10; wA = 6;
% mB = 15; wB = 4;
% ... |
5e8dfeb1863c3e52916916d20fc5f660c9758749cb0d53f67b60ecd53aaa6e4b | MATLAB | 2,527 | 92 | %
% 'overseer' function for performing & logging subtraction with sliding
% windows.
%
%
% [data,cfg]=m_do_slidingwindow(data,cfg)
function [data,cfg]=m_do_slidingwindow(data,cfg)
cwregression=cfg.cwregression;
if isfield(cwregression,'do_logging');
do_logging = cwregression.do_logging;
else
do_logging = 0... |
6470f27766c5c05cfef69470bed00a18d1a72799e9a2edf1ea46d8327ee97834 | MATLAB | 2,527 | 92 | function [ DCM ] = tapas_ceode_testData_cmc()
% [ DCM ] = tapas_ceode_testData_cmc()
%
% THIS IS A SCRIPT SOLELY FOR TESTING THE SPM/TAPAS SETUP. DO NOT CHANGE!
%
% Sets parameters and function handles to create a synthetic DCM
% structure. The resulting structure can then be used to generate
% artificial data with tap... |
fbdb35ac35d906edb6e441097c414ff1dc51eb02220ce30de757d2d86b79e68d | MATLAB | 2,527 | 67 | % NEWTIMEFPOWERUNIT - Find power unit for y-axis based on input structure.
%
% Usage:
% >> str = newtimefpowerunit(paramstruct);
%
% Inputs:
% paramstruct - [structure] structure with fields .
%
% Outputs:
% str - string containing the
%
% Authors: Arnaud Delorme, SCCN, INC, UCSD, August 2016
% Co... |
30f8dfcdfd18ddb28696b00d48bbf0512995e0ad400bb2531a7e1d6a15ed0725 | MATLAB | 2,528 | 69 | % Performs discrete correlated total variation denoising (CTVD) using a
% primal-dual interior-point solver. It minimizes the following discrete
% functional:
%
% E=(1/2)||y_0-ay_1-x||_2^2+lambda*||Dx||_1,
%
% over the variable x, given the input signal y, according to each
% value of the regularization parameter lamb... |
4e9f64b29b0189a44e1b6ed08978f3f9caf60e5511bc64d89b0ba620dfb40a9d | MATLAB | 2,528 | 83 | function [dimLabels, resolutions, nSamples, units, firstSamplingPoint] = ...
read_par(~, filename)
% Reads dimInfo for Philips par/rec format.
% TODO: extend to ND-data (so far, only 4D time series supported)
%
% Y = MrDimInfo()
% Y.load_par(filename)
%
% This is a method of class MrDimInfo.
%
% NOTE: The outpu... |
1745dd943b604c1d0348da38a759dd94ec54b6871071d01284e887d22fe00003 | MATLAB | 2,529 | 72 | function [] = plotBetasSwarmGroup(beta, groups)
% This code reproduces the analyses in the paper
% Urai AE, Braun A, Donner THD (2016) Pupil-linked arousal is driven
% by decision uncertainty and alters serial choice bias.
%
% Permission is hereby granted, free of charge, to any person obtaining a
% copy of this softwa... |
1a8799d968750a386f758acaad0bfb4e026c3d1aec1bfc383e6cd724001e7ba6 | MATLAB | 2,529 | 70 | function plotJointAnglesVertical(kinematics, joints)
% Plots the time series of a specified set of joint angles
% Figure
fig;
axis off
hold on;
% Params
ntPts = length(kinematics(1).tPts);
liftBin = find(kinematics(1).tPts == 0);
tPts = 1:length(kinematics(1).tPts);
alpha = 0.2;
lw = 0.5;
yspace = -30;
xspace = 3;
xo... |
739247fe208b377b7d75a63a11742fc882d01d18256417db4fc89e0b57cbb2cf | MATLAB | 2,529 | 65 | function [corrMatrix,pMatrix,psr] = CorrInIntervals(spikes, intervals, varargin)
% Computes Pearson's correlation for each pair of neuron's spikes within
% the intervals provided. For each interval, the spikes emitted by each
% unit are counted, and if units M and N fire in a correlated manner within the
% provided wi... |
bdf7569e084f0c4df7f601565aa77759aa18f43b7d484e4438812c8142bb6ba8 | MATLAB | 2,529 | 66 | function out = SY_StdNthDer(y, n)
% SY_StdNthDer Standard deviation of the nth derivative of the time series.
%
% Based on an idea by Vladimir Vassilevsky, a DSP and Mixed Signal Design
% Consultant in a Matlab forum, who stated that You can measure the standard
% deviation of the nth derivative, if you like".
%
% cf.... |
7abc0c0154e974e8516359716209079a6373d3987868aa1ab726296f26bae906 | MATLAB | 2,530 | 65 | % demonstrate usage of likelihood functions
%
% See also likFunctions.m.
%
% Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2022-04-04.
% File automatically generated using noweb.
clear all, close all
n = 5; f = randn(n,1); % create random latent function values
... |
f244e4c4934efd8343d0e3ebe5e27255c3f39882713917684600175090b185fc | MATLAB | 2,530 | 90 | function [output]=getStimEpoch(Data,TTL,Fs,varargin)
% [output]=getStimEpoch(Data,TTL,Fs,'baselinePrePost',2,'getShuffle',true)
% output arrays : time x trials x channels/pixels
%
% OPTIONS:
% options.baselinePrePost=1; % 1sec baseline
% options.getShuffle=false;
%
% OUTPUT:
% output.arrayRaw=arrayRaw;
% output.arraySh... |
548ca9f2f7e037a75555dd2fb41dc946dcac8a2b16539d7688340a8759c58cef | MATLAB | 2,531 | 74 | function res = arg_tovals(spec,direct)
% Convert a 'rich' argument report into a 'vals' report.
% Vals = arg_tovals(Rich)
%
% In:
% Rich : a 'rich' argument report, as obtained via arg_report('rich',some_function)
%
% Direct : whether to endow the result with an 'arg_direct' flag set to true, which indicates to
%... |
00fe1a63e05b03e41a8e4545f2301f1ab80afba399607e6110afce98bc9548f7 | MATLAB | 2,533 | 79 | function plotApertureTimeSeries(data)
% Plots the time series for a single trial of aperture and z velocity
% Params
liftCol = [130, 235, 118]/255;
collectCol = [72, 188, 255]/255;
extendCol = [230, 40, 151]/255;
aperturecol = [248, 147, 83]/255;
velocitycol = [0,0,0];
tPts = [-50:10:150];
bins = find(ismember(data.tP... |
724abaf4fd120ab129d471696ace14e842532760b24c2003ee8e96ccf1302fc1 | MATLAB | 2,533 | 82 | function fh = tapas_physio_plot_results_comparison(actPhysio, expPhysio)
%Compares two physio output structures in terms of their
%processing/modeling results
%
% fh = tapas_physio_plot_results_comparison(actPhysio, expPhysio)
%
% IN
%
% OUT
%
% EXAMPLE
% tapas_physio_plot_results_comparison
%
% See also
% Autho... |
e754d0a2013d3003a9bba95e4d05c114e0a6bfce9e33bfb4373132f81cc2c71f | MATLAB | 2,534 | 83 | function ylims = jointsReconPlot(output, joints, field, ylims)
% Plot joint angle time series and their reconstructions
if nargin < 3
field = 'jointAngles';
end
if nargin < 4
ylims = zeros(2 * length(joints), 2);
end
reconField = [field 'Recon'];
jointNames = {'SHLDf', 'SHLDa', 'SHLDr', 'ELBOf', 'WRSTf', 'W... |
e788bb3231181f75bb53a34e5cb657e0b36a1e9da1e3cc1fdd19679ada77409f | MATLAB | 2,534 | 94 | %{
tuning.MonetFit (computed) # fitting RFs for computing significance
-> tuning.MonetCleanRF
-----
x : float # (degrees) RF location away from center
y : float # (degrees) RF location away from center
radius : float # (degrees) geometric mean of major and minor axes
aspect : float # aspect ratio
orientation : ... |
15fc87ccd1915a5ae2de8ec750c07a547c4fdcc43101c1583a5c49d2cff102d6 | MATLAB | 2,535 | 56 | function addCh = ch2roi_getSelCh_add(i_ch_trials, ch_inds, chGroups, nn, cName)
% whether to add this channel to the selected ones or not
% !!! works only for 2 NN !!!
% 1) check if 'i_ch_trials' NOT already among the ch_inds
% 2) for NN = 2 (works only for 2 NN !!!)
% 3) in case a channel was assigned to the 1st gro... |
38c96f0aa5d8b14eee73143fba0cbd16892fa099e0e94ff169f1560c46ad38f3 | MATLAB | 2,535 | 85 | function directories = getProjectDirectories(varargin)
% GETPROJECTDIRECTORIES Get or set project directory paths
%
% Syntax:
% dirs = getProjectDirectories()
% dirs = getProjectDirectories('Name', 'path', ...)
%
% Description:
% Manages project-specific directory paths with platform awareness.
%
% Inputs:
% Na... |
4694c67e1b69b5671d37b37fc8c3c2884ec10d65213eb0deb30d80ed5b6fb61d | MATLAB | 2,535 | 83 | % LLE ALGORITHM (using K nearest neighbors)
%
% [Y] = lle(X,K,dmax)
%
% X = data as D x N matrix (D = dimensionality, N = #points)
% K = number of neighbors
% dmax = max embedding dimensionality
% Y = embedding as dmax x N matrix
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Y,DiMatrix] = lle... |
5daae2e01a67f5375d638a0eeb4e0dab320a0b6358211a506633eb26061d4555 | MATLAB | 2,536 | 75 | function MS = createMeshRadial2D(varargin)
% MeshStructure = createMeshRadial2D(Nr, Ntetta, Lr, Tetta)
% MeshStructure = createMeshRadial2D(facelocationR, facelocationTetta)
% builds a uniform 2D mesh on a Radia coordinate:
% imagine a top view slice of pie
% Nr is the number of cells in r (radial) direction
% Ntetta i... |
68045bb9b7abbf2d1e7e303898b530c6f8020f4cc17d3b276e1f7a1e2fca195f | MATLAB | 2,536 | 61 | %{
monet.OriMap (imported) # responses to directions of full-field drifting gratings
-> monet.OriDesign
-> pre.AlignMotion
---
regr_coef_maps : longblob # regression coefficients, width x height x nConds
r2_map : longblob # pixelwise r-squared ... |
91fefd12ecd63e471cee046e44f26dc8f165c0d7fade233a8eab443624d671b4 | MATLAB | 2,536 | 39 | %{
vis2p.Scans (manual) # Scans$
-> vis2p.Experiments
scan_idx : smallint unsigned # scan number within this experiment, forms the _%03u suffix of the scan files
---
file_name : varchar(61) # m) file prefix if different from the default YYMMDD
scan_prog="MPScan" :... |
4a6725b6d197ec95abb627b4fcd2577fa1006b52cef5c7147e820f6b21bd3f8e | MATLAB | 2,539 | 86 | function imdb = add_bboxreg_targets(imdb)
% add bbox regression targets
%
% Copyright (C) 2016 Hakan Bilen.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
bgid = numel(imdb.classes.name) + 1;
imdb.boxes.ptarget = cel... |
8c2c8079360ebc581b5d524c62c1a0a44b07d6b16728c550fe11cbc5d2d6df55 | MATLAB | 2,540 | 87 | function fear_tripleCoactTimestamps(basename,varargin)
% basename='~/data/Fear/triple/hoegaarden181115/hoegaarden181115';
load([basename '.basicMetaData.mat'])
load([basicMetaData.AnalysesName '-tripleCCG.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
param.minPeak=125... |
dd4db2312f26be52fd2f2c9598cd310adb7da345d6f0e70b2532a5349b1ccfbc | MATLAB | 2,540 | 82 | function [bpFilter]=findBestFilterParameters(filePath)
disps('Start findBestFilterParameters Function')
%
% m=load(allPaths.metadataPath);
% metadata=m.metadata;
[~,~,ext]=fileparts(filePath);
if strcmpi(ext,'.h5')
meta=h5info(filePath);
disp('h5 file detected')
dim=meta.Datasets.Dataspace.Size;
... |
e39dffff6571e4a1a62c444ad65ecebd28591557feaf46e885ba8a3be50bf92e | MATLAB | 2,540 | 70 | function [M, Mx, My] = diffusionTermRadial2D(D)
% This function uses the central difference scheme to discretize a 2D
% diffusion term in the form \grad . (D \grad \phi) where u is a face vactor
% It also returns the x and y parts of the matrix of coefficient.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPL... |
25f4643c136b2bafc17a322ff097f21fa2e32ef62c89002e3a9a69446b23b8d5 | MATLAB | 2,541 | 79 | function [xx] = tapas_ceode_compute_xtau(tn, xhist, itau)
% [xx] = tapas_ceode_compute_xtau(P, M, U)
%
% Computation of delayed states according to the continuous extension for
% ODE methods. Delayed states are computed as a linear interpolation
% between sampled time points
%
% xhat(t-tau) = x_{i-1} + (t-tau)/dt * (... |
34dcf29c3456480ae6c3214e5de9409fea04f86fd2c87b33bb2c0da3795999ea | MATLAB | 2,541 | 87 | function [PrincipalCurvatures,PrincipalDir1,PrincipalDir2]=getPrincipalCurvatures(FV,VertexSFM,up,vp)
%% Summary
%Author: Itzik Ben Shabat
%Last Update: July 2014
%{
%getPrincipalCurvatures calculates the pincipal curvatures and their
%directions from the second fundemental tensor
%INPUT: FV - mesh face-vertex... |
94c2a13765d7ba2f1a3b069bca358ce45f3182e7ccae878700ec8882f34318be | MATLAB | 2,541 | 80 | function [hdr] = neuralynx_getheader(filename)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SUBFUNCTION for reading the 16384 byte header from any Neuralynx file
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2007, Robert Oostenve... |
0a67a811fae90ee01075b13ef0c5bea448aea3dca8205bf6c2d66d4c8c0ce8bc | MATLAB | 2,544 | 82 | function fear_cueTrigCoact_opt_meanShift(basename,varargin)
load([basename '.basicMetaData.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
param.binSize=0.02;
param.halfWindow=5;
param.targetHC=3;
param.targetSes=2;
param.varName='cueTrigCoactChamber';
param.saveFile=[... |
e3696fbaed9caefad2adedc2f89b5cc5ea223980c36e49c899cd81064f116f6d | MATLAB | 2,544 | 68 | function out = DN_ProportionValues(x, propWhat)
% DN_ProportionValues Proportion of values in a data vector.
%
% Returns statistics on the values of the data vector: the proportion of zeros,
% the proportion of positive values, and the proportion of values greater than or
% equal to zero.
%
% ---INPUTS:
% x, the inpu... |
dd386a41469e825266887a0f6322c54580a6f615feba2839628755f3c4978b2f | MATLAB | 2,545 | 76 | function [data_out, bad_channels] = interpolate_bad_channels(rdir, channels, data, channel_layout, channel_name)
% add missing channel to the bad channel list
% channel_layout.label = channel_layout.label(1:275);
% [notmissing, dummy] = match_str(channel_layout.label, data.label);
% newtrial = cell(size(data.trial));... |
174aa2f4e2f0a2019fb79c1f9bc2673fcd566d42131ed23ee77855cb6fba5d4f | MATLAB | 2,547 | 95 | % Fig2b_RawTraces.m
% Plots average traces ± SEM for multiple sensor variants and AP conditions.
%
% Usage:
% 1. Place this file in the same folder as Traces_All.mat
% 2. In MATLAB, cd into that folder
% 3. Run: Fig2b_RawTraces
%
% Tested with MATLAB R2023b
close all; clear;
%% Load data (expects Traces_All.mat... |
5b0322eb8de7aab9abe3257131a98636e62accc485c5272825c461f4dc36513d | MATLAB | 2,547 | 55 | % STD_PACPLOT - Commandline function to plot cluster PAC
% (phase-amplitude coupling).
%
% Usage:
% >> [STUDY] = std_pacplot(STUDY, ALLEEG, key1, val1, key2, val2);
% >> [STUDY itcdata itctimes itcfreqs pgroup pcond pinter] = ...
% std_pacplot(STUDY, ALLEEG ...);
% Inputs:
% S... |
a3adb8beeda27647257a557e3d3f1e8fb424fdb7fb96ccbde1cba9a8c0a7516b | MATLAB | 2,547 | 68 | %% get_set_clearswi(h,mode,input)
%
% Input
% --------------
% h : structure contains all handles of SEPIA
% mode : 'set' - extract information from GUI to config file
% 'get' - extract information from config file to GUI
% input : if mode is 'set' then input should be fid
%... |
54ac01dc87fd3c57d412391cc6feeb53c931b2bfdd891404f4a7023a30681f7f | MATLAB | 2,550 | 99 | function [outputArg1,outputArg2] = PlotSubjectMeans_All(sn, TitleStr, lp_Color, hp_Color, bb_Color)
% --- Standard values for params if not specified
if ~exist('TitleStr','var')
% title parameter does not exist, so default it to something
TitleStr = ' ';
end
% --- means & standard deviation per azimuth ... |
a68c0b989088fa93273e672db270f04a7b76db88d4bf67eda89c743c7473b861 | MATLAB | 2,550 | 82 | % this script does the final assessment of all of the screening.
%%%%%%%% load all the results!
nsdsetup;
ix = 6+(1:14);
a1 = load('/research/papers/2022 nsd/figures/SCREENING/BOLDSNR/results.mat','pcts');
tt = 20;
boldprf = normalizerange(a1.pcts(:,1,tt)',1,5);
boldfloc = normalizerange(a1.pcts(:,2,tt)',1,5);
a1 ... |
ba695584e31423f3f65f69724ca28b5c8fd3fdce89693c5c60a0a3acf954c114 | MATLAB | 2,550 | 74 | function plotRTClassifierCorrelationAll(outputs, eventName, method)
% Plot the correlation between the real and the predicted RTs
% Figure
fig;
hold on;
ax = gca;
axis off
% Params
colors = turbo(length(outputs));
markers = {'s', 'x', '+', '*', 'o'};
% Loop over mice
corrsM1 = [];
corrsS1 = [];
mouseN = 1;
for mouse... |
eaaa9e0df3a1d96e0a0d4b1f371d3a527dc72f8b2b1bdd11256cd23b2d72df53 | MATLAB | 2,550 | 59 | function [outdata, outsform1, outroi] = cifti_struct_dense_extract_volume_structure_data(cifti, structure, cropped, dimension)
%function [outdata, outsform1, outroi] = cifti_struct_dense_extract_volume_structure_data(cifti, structure, cropped, dimension)
% Extract the data for one cifti volume structure, expa... |
fb67b8ede00d2c8e64fb42fd51ad4bebe2ee5dbfa4fe53b0242cdecd8f82f5d9 | MATLAB | 2,550 | 85 | function glm_prf(subjix,ppdirname,tr,runix,prepname,stimversion,glmdirname,chunkstart)
% notes:
% - assume HRF
% - average the 3 reps of each stimulus type up front
% - fit ALL voxels within brainmask. very expensive.
% - we use a chunking mechanism to do it in chunks.
% - use supergrid to set the initial seed
% - run... |
7c48e9a91ee246fd49f082dce5bb6aa9d0191acf4597173f0366e8a5536201cd | MATLAB | 2,552 | 59 | function colorCell = GiveMeColors(numColors)
% GiveMeColors outputs a cell of colors for the specified number of colors
%
% Relies on the BF_GetColorMap function to pull out the appropriate colorbrewer
% colormaps
% ------------------------------------------------------------------------------
% Copyright (C) 2013-202... |
317cf1ec8134c3f20bb8f3ae82a303fd7ae3cb964a73fcc9d2556d548e8b8f83 | MATLAB | 2,554 | 75 | function outputImage = smooth(this, varargin)
% smoothes ND MrImage using Gaussian kernel and via SPM functionality
%
% Y = MrImage()
% sY = Y.smooth('fwhm', 5, 'splitDimLabels', 'echo', 'splitComplex', 'ri')
%
% This is a method of class MrImage.
%
% IN
% fwhm Full-width-at-half-maximum of the smoothi... |
4838a037fbd2a9e9cfefa9baace7df8b9d6ad59a2b92032e88a85e64ca5a0e11 | MATLAB | 2,554 | 78 | % UIPUTFILE2 - same as uigputfile but remember folder location.
%
% Usage: >> uiputfile2(...)
%
% Inputs: Same as uiputfile
%
% Author: Arnaud Delorme & Hilit Serby, Scott Makeig, SCCN, UCSD, 2004
% Thanks to input from Bas Kortmann
%
% Copyright (C) Arnaud Delorme & Hilit Serby, Scott Makeig, SCCN, UCSD, 2004
... |
942f58456b16a9e3dec12852fda78ce617e5047b2eb68c4040ca58244cc3da6b | MATLAB | 2,554 | 55 | %% sepiatest.compare_to_reference(testCase, actual, reference, tol, label)
%
% Description: compares a sepiatest.mask_stats() struct against a
% previously-saved reference struct (same shape), using testCase.verifyEqual
% with a relative+absolute tolerance, and a normalized-RMSE check on the
% coarse downsampled array.... |
a6a0cc9e3d06b1f7c5d5253d960216477b9bd230e47eedb3971354a34409ac13 | MATLAB | 2,554 | 74 | function [mask,vol,voxsize] = get_random_mask(n,P)
%
% n is the number of random points
% P is the filename of the mask image file OR the actual mask array
% P should be brain-only, or better, gray-matter only voxels
% if P is empty, select using GUI
%
% vol is the search space - the whole brain mask where coordina... |
77e1241be97e2b9a7c0b9dde6c7c51708655fbe251ad9cbc6208d8134d4d7be0 | MATLAB | 2,555 | 46 | function [joint,expected,difference,corrected] = JointPETH(PETH1, PETH2,smooth)
%JointPETH - produce a joint histogram for the co-occurrence of two sets of signals around events.
% PETH1 and PETH2 should be in the format of PETH, see example usage below.
% This analysis tests for interactions. For example, the intera... |
829570e2844420fe401ec222a808efb7fbf9605d36074fdf033dcb5a42d625a8 | MATLAB | 2,555 | 43 | % on surly:
% annotate the individual subjects
for p=1:8
unix(sprintf('convert /home/stone-ext4/generic/Dropbox/nsddata/inspections/surfacevisualizations/fsaverageflat_curvature_subj%02d.png -gravity northwest -font FreeMono-Bold -fill black -pointsize 120 -stroke ''#eeeeee'' -strokewidth 10 -annotate +20+20 ''subj%... |
25dbdc6ecf6aad86aace189610e1315459a860b348cda5fa99dcc61a62b89a8f | MATLAB | 2,557 | 62 | % Script demo_load_geometry_from_nifti
% load geometry from nifti
%
% demo_load_geometry_from_nifti
%
%
% See also
% Author: Saskia Bollmann & Lars Kasper
% Created: 2018-10-18
% Copyright (C) 2018 Institute for Biomedical Engineering
% University of Zurich and ETH Zurich
%
% This file is part... |
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