sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
1d5ca0398cb0514cac58cbdce7f8f8b02304281fead4fb2f0045479ee6f98418 | MATLAB | 1,900 | 66 | function disp(a,name)
%DISP Command window display of a sptenmat.
%
% DISP(T) displays the tensor without printing its name.
%
% DISP(T,NAME) displays the tensor with the given name.
%
% See also SPTENMAT/DISPLAY.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox ... |
cc103cb00535b297fd5eee14406e592774276f91eda289af70b2f73459d745b4 | MATLAB | 1,900 | 83 | %% var_info
%
% Display VAR information as returned by |var_to_autocov|
%
% <matlab:open('var_info.m') code>
%
%% Syntax
%
% acerr = var_info(info,abort_on_error)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% info info structure returned by v... |
07be40cc572e04c90f9463f095b49cd5889d3c6747a576d70b09fa7fa738bc6a | MATLAB | 1,901 | 46 | function [theta_AIC,phi_AIC,reg_id_AIC,cut_id_AIC,AIC_value]=AICfun_backward_constrained(Y,phi,theta,ori_reg_id)
% Akaike Information Criterion Backward elimination method.
% given Y, phi, theta and the regulator IDs before AIC
% calculate AIC and output theta_AIC, regulator IDs after AIC, regulator IDs cutting by A... |
dc0d3f2df2c43b2b6ad8fdf00f360bfa0ddf479393ae546f3060a479256c6454 | MATLAB | 1,901 | 67 | classdef PathLocale < uint8
% apt.PathLocale - Enumeration for path locale contexts within APT
%
% This enumeration defines where paths are intended to be used.
%
% Enumeration values:
% native - Paths for the native/host machine where APT frontend runs
% wsl - Paths for Windows Subsystem for Linux... |
3acc2b18dfd25c9f7c995fe836ddbc836b01a84207b36c52d88e47f4ddf8e377 | MATLAB | 1,902 | 79 | function [obj] = TLrun1l(obj,varargin)
%force = false;
force = true;
tlvl = class(obj);
for i = 1:length(varargin)
if ischar(varargin{i})
switch varargin{i}
case 'force'
force = true;
case 'tlvl'
tlvl = varargi... |
6522f61b6f6f192390737d98e18fb77066fa29a83d11d65413c137a666ad452b | MATLAB | 1,902 | 78 | function lh = plotVerticalLines(axh,x,varargin)
if isempty(axh)
axh = axes;
end
[yMax,lineArgs] = getParamValue('ymax',varargin,true);
[yMin,lineArgs] = getParamValue('ymin',lineArgs,true);
yMax = repeatToComplete(yMax,numel(x));
yMin = repeatToComplete(yMin,numel(x));
yLim0 = ... |
a557d09cd6b08e2a651fc68e560889c4bf156a0a9043ca2c083f7769da953d7f | MATLAB | 1,902 | 90 | %% Yeast Clustergram Demo
%PMTKneedsStatsToolbox pdist, linkage, dendrogram, cluster
%PMTKneedsBioToolbox clustergram, redgreencmap
%%
% This file is from pmtk3.googlecode.com
requireStatsToolbox
requireBioinfoToolbox
loadData('yeastData310') % 'X', 'genes', 'times');
corrDist = pdist(X, 'corr');
clusterTree = lin... |
21e3fec210fbe0833f6c0cea072e16ffd309805262f0868d7559878eb368e7b3 | MATLAB | 1,903 | 47 | % Parameters of BEM-FMM solution
%
% Copyright SNM/WAW 2017-2024
eps0 = 8.85418782e-012; % Dielectric permittivity of vacuum(~air)
mu0 = 1.25663706e-006; % Magnetic permeability of vacuum(~air)
condambient = 0.0; % Air
% Parameters for neighbor integrals
RnumberE = 32;... |
2b27880a6e7be5247d38cc3f23afb95a1dfce35d483ca2e51471189ce36c4483 | MATLAB | 1,903 | 86 | theta = linspace(0, 2*pi, 100);
xy = figure;
hold on
scatter(x(2), x(1))
title('position: X-Y')
yz = figure;
hold on
scatter(x(2), x(3))
title('position: Y-Z')
Oxy = figure;
title('orientation: X-Y')
hold on
Oyz = figure;
hold on
plot(sin(theta), cos(theta))
title('orientation: Y-Z')
Wxy = figure;
hold on
plot(sin(thet... |
bc6d2ecd516427207dd5e43322d079859fe0ae35537ccc18dc898a1daa541fc4 | MATLAB | 1,903 | 1 | function [im,tt] = func_toimage(A,f,t,splx,sply)
% [im,tt] = TOIMAGE(A,f,t,splx,sply) transforms a spectrum made
% of 1D functions (e.g., output of "spectreh") in an 2D image
%
% inputs : - A : amplitudes of modes (1 mode per row of A)
% - f : instantaneous frequencies
% - t : time ins... |
de46893d55eddd5d43274b0b6ddb725ec43d0ed7899b941c047ecf0cf31d1fd1 | MATLAB | 1,903 | 76 | function Y = collapse(X,dims,fun)
%COLLAPSE Collapse tensor along specified dimensions.
%
% Y = COLLAPSE(X,DIMS) sums the entries of X along all dimensions
% specified in DIMS. If DIMS is negative, then X is summed across
% all dimensions *not* specified by -DIMS.
%
% Y = COLLAPSE(X) is shorthand for S = COLLAP... |
b5cb74c6ab0d95aee686fcc02a8a70fcda089c184e0a21d7d10d145bcec848aa | MATLAB | 1,904 | 66 | %CHANGE_VALUE Change the value assigned to a unique variable in a file
%
% Examples:
% fail = change_value(value)
% fail = change_value(value, variableName)
% fail = change_value(value, variableName, filePath)
%
% Function to change the value assigned to a variable in a text file. The
% assignment must exist alr... |
0fca868387d3ad8c2ac3c7f63e7d0e5cc61023919390089e79e6deb6923eec81 | MATLAB | 1,905 | 71 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function plot_esg_isopotential(chanvalues, gridsize, chan_pos_grid, labels)
%% Input arguments:
% chanvalues = data values for each channel
% gridsize = size of grid
% chan_grid_pos = in matrix indexes
% labels = channel labels
%% create electrode grid
chan_grid = zeros... |
382fa836956fbe8db22c7ed09b5f262da6e34eb01f1e5736a5980a13f7e80f42 | MATLAB | 1,905 | 78 | function lh = plotHorizontalLines(axh,y,varargin)
if isempty(axh)
axh = axes;
end
[xMax,lineArgs] = getParamValue('xmax',varargin,true);
[xMin,lineArgs] = getParamValue('xmin',lineArgs,true);
xMax = repeatToComplete(xMax,numel(y));
xMin = repeatToComplete(xMin,numel(y));
xLim0 ... |
927a5201dfc16f9eb9377ff07ff67d8c7535d7bc5e6f8df363a8ce3e6b156085 | MATLAB | 1,905 | 53 | function masks = char2img( strings, h, pad )
% Convert ascii text to a binary image using pre-computed templates.
%
% Input strings can only contain standard characters (ascii character
% 32-126). First time char2img() is ever called with a given height h,
% txt2img() is used to create a template for each ascii charact... |
d115a5eca828204836647417aa37eebeccda9eea3e9a06c59767159b9f59091f | MATLAB | 1,905 | 59 | function PlotFigure4(allBetas, allPVals, xTimes2)
if nargin==0
% this one plots Figure 4
load('Figure 4 - Source Data 1.mat', 'allBetas','allPVals','xTimes2')
% these are for the figure supplements - see
% TrioEEG_PlotAllFigures.m in the github for details
% Figure 4 - Figu... |
bc07a1cbc0643a0640e6247ae37bd369b6a5979faa87706de8ff74ddbc766a33 | MATLAB | 1,906 | 61 | function ha = tight_subplot(Nh, Nw, gap, marg_h, marg_w)
% tight_subplot creates "subplot" axes with adjustable gaps and margins
%
% ha = tight_subplot(Nh, Nw, gap, marg_h, marg_w)
%
% in: Nh number of axes in hight (vertical direction)
% Nw number of axes in width (horizontaldirection)
% ga... |
c000298d71f51048beb682c18741954bca6a381ff9621dac4a6328aa5139d7b6 | MATLAB | 1,906 | 65 | function [hf] = VBA_displayGrads(J,J2,flag,fname,flagFun)
% eyeball the difference between two arbitrary matrices
try; flag; catch; flag = ''; end
try; fname; catch; fname = []; end
try; flagFun; catch; flagFun = ''; end
try; sfn = func2str(fname); catch; sfn = fname; end
switch flagFun
case 'f'
str = [' ... |
462d3a85ccfdb3d30537d5bb11272a3a70b67a6cf513fc85803988760f6505c8 | MATLAB | 1,908 | 93 | function [hdr,be] = read_hdr_raw(fname)
% Read a NIFTI-1 hdr file
% FORMAT [hdr,be] = read_hdr_raw(fname)
% fname - filename of image
% hdr - a structure containing hdr info
% be - whether big-endian or not
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trus... |
7115a33b0e76e9e9bac5d41bf49fca68c31e4fb096f0f62270f8e61d073bf8e4 | MATLAB | 1,908 | 88 | function [h, array] = display_network(A, opt_normalize, opt_graycolor, cols, opt_colmajor)
warning off all
if ~exist('opt_normalize', 'var') || isempty(opt_normalize)
opt_normalize= true;
end
if ~exist('opt_graycolor', 'var') || isempty(opt_graycolor)
opt_graycolor= true;
end
if ~exist('opt_colmajor', 'var'... |
813ecf7dfab5b18257af83dc4b09c1507881aaec22f4c28dd270f22f4e912d3a | MATLAB | 1,908 | 59 | function [trl] = read_fcdc_trl(fn)
% READ_FCDC_TRL reads trial definitions from a file
%
% Given a file which defines N trials, this function returns a Nx3
% matrix with the begin latency, end latency, and the latency offset
% of the first sample of each trial. The latencies are in seconds.
%
% [trl] = read_fcdc_trl(f... |
8e14d912d41fbfd05298d26c80494b5b9e918a428b1ab79878d8478b5a3f03a3 | MATLAB | 1,909 | 57 | function [fitprms,res] = fitOutputNakaRushton(xvals, spikes, varargin)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
foptim = @(p) optimizeNonlinearity(p, xvals, spikes);
%====================================... |
0562c3f059abb28714bfa7c22bbc5501bbdcbde55e96998501e5ae72ba570d98 | MATLAB | 1,910 | 94 | %{
_ _
___ _ __ __ _| |__ ___ ___ _ __| |_
/ __| '__/ _` | '_ \/ __|/ _ \| '__| __|
| (__| | | (_| | |_) \__ \ (_) | | | |_
\___|_| \__,_|_.__/|___/\___/|_| \__|
# NNtrain
**Syntax**
```
C.NNtrain(channel, worker)
```
**D... |
3a9584fe3e21c1c87a647545a7e936c35f93fa215235b48a0dba92fab2d0949b | MATLAB | 1,910 | 58 | function [h, p, stat] = corr_clustercorr(dat1, behav)
% wrapper around fieldtrip's cluster-based permutation test on a
% timecourse, behaves similarly to matlab's corr
% input: nsubjects x time
% behavioural inputs: nsubjects x 1
addpath('~/Documents/fieldtrip'); ft_defaults;
% =======================================... |
41ab9376f244f8abd7f79904207474da3d51e713b267bd2740995643d10d27b2 | MATLAB | 1,910 | 83 | %% Mixture of Discrete Distributions DNA Demo
% t = locn
% Z(t)|w ~ Discrete(w(:)), k in {1,2,3,4,k}
% theta(:,t) | Z(t)=k ~ Dir(alpha(:,k))
% x(i,t) | theta(:,t) ~ Discrete(theta(:,t))
%%
% This file is from pmtk3.googlecode.com
%% Data generation
setSeed(0);
Nseq = 10;
Nlocn = 15;
Nletters = 4;
Nmix = 4;
... |
f95fd77f929fb870a63aee456a79480fe2b423aeb7f1b49d54f19bc4430716ff | MATLAB | 1,910 | 69 | function [pnt, tri] = cylinder(Naz, Nel)
% CYLINDER creates a triangulated cylinder
%
% Use as
% [pnt, tri] = cylinder(Naz, Nel)
% Copyright (C) 2002, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: yo... |
3d080139bc7ef02ab42ac47fe42aaa6282a0005a2e4cd3bb6bc75a7dca011b8c | MATLAB | 1,911 | 53 | % Derive a vector of edges describing the relationship between signal
% amplitude and bins.
%// Modular method of assigment
%
%
% To avoid porducing 'NaN' for ranging values, signal values greater than
% the defined discretization range willl be assigned to the closest defined
% value (i.e. clipping).
% Copyright (C... |
b3b595115e0b875e53933ace825a43e38a550c884e1a6543280fe70ef4a699df | MATLAB | 1,911 | 80 | %% Robust linear regression demo
% PMTKneedsOptimToolbox linprog
%%
% This file is from pmtk3.googlecode.com
function linregRobustDemo()
requireOptimToolbox
seed = 0; setSeed(seed);
x = sort(rand(10,1));
y = 1+2*x + rand(size(x))-.5;
% add some outliers
x = [x' 0.1 0.5 0.9]';
k = -5;
y = [y' k k k]';
n = length(x)... |
f22e84ad3f165a1a6e9b7ffaa20ab981184e84cf11b06e95700717e5c9b4acf1 | MATLAB | 1,911 | 66 | function [drNduTdrNdu] = get_drNduTdrNdu(M,nt,dt,par,x)
%% Created by Xinan Chen in Nov 2021
%% This function returns (d(rho(:,end))/d(u))^T * d(rho(:,end))/d(u) * a vector x
% x... vector length(prod(n)*nt*dim,1)
% rho(:,0) -----------> rho(:,1) --------------> rho(:,2)
% u(:,1) u(:,... |
2c0f8aabd3814ab9f8950f6c7807c454afd04317786cfbb2421307812f0173ee | MATLAB | 1,913 | 73 | function header = parseHeader(input)
% PARSEHEADER - Read ScanImage Header String and return structure.
% PARSEHEADER will output the value of the header fields as a structure.
% Input is the header from ScanImage TIF File (char array).
%
% See also
% Modified by Aleksander Sobczyk on 3/11/04 to allow pro... |
64c3c89cb5e56b16923f9e78ea244fa015176b393061c91cba6847223f4cb722 | MATLAB | 1,913 | 43 | function phi = phi_comp(X, Z, params, options)
% Compute phi from time series data
%
% INPUTS:
% X: time series data in the form (units X time)
% Z: partition
% - 1 by n matrix. Each element indicates the group number.
% - Ex.1: (1:n) (atomic partition)
% - Ex.2: [1, 2,2,2... |
e6b3d3227e24cc3455c1972655409584db5bc73e4fe9605b9580649b11a3515c | MATLAB | 1,913 | 71 | function model = rvmFit(X, y, varargin)
%% Fit a relevance vector machine using the SparseBayes 2.0 package
%
% model = rvmFit(X, y, 'kernelFn', kernelFn)
% where kernelFn(X1,X2) computes the gram matrix.
%
% model = rvmFit(X, y, 'kernelFn', kernelFn, 'args', args)
% args are passed directly to SparseBayes.
%
% y can... |
f61f7bcf54db859987506bc8677a3706a49841d6b2ee0383a1343b44b65b5a5f | MATLAB | 1,914 | 61 | function [xe,ye] = get_ellipse(trk, ctr_coords, theta, fly_ind)
% Input arguments
% prefix = file prefix for -track.mat (usually the same prefix for both files)
% ctr_f = x,y coordinates of female; typically nx2 matrix, for n frames
% theta = orientation of female
% fly_ind: integer corresponding to FlyT... |
c54155f83fd25e19398d1fdaecdbdce3ac5081d42eac010688ba0a9e48423cd7 | MATLAB | 1,915 | 32 | clear;clc;close all
ROOTPATH = strcat(NoveltySU.utils.getRootDirPath(mfilename("fullpath"), 4), "Data\Processed Data\");
cd(NoveltySU.utils.getRootDirPath(mfilename("fullpath"), 2))
protStr = "Passive noise";
temp = NoveltySU.utils.dirItem(strcat(ROOTPATH, protStr), "spkData.mat");
popRes = cell2mat(cellfun(@(x) N... |
e1d4a04ed3e51483ec3a7852f5c735ecb34203ddb359829d3a9f0103f985d715 | MATLAB | 1,915 | 48 | function save_chunks(parentfolder,fov,chunkfoldername,CCseg,refch,name)
%Saves segmented synapses as small chunks
mkdir([parentfolder chunkfoldername])
%extract relevant synapse properties
indexes = regionprops3(CCseg,'SubarrayIdx');
indexes = indexes.SubarrayIdx;
centroids = regionprops3(CCseg,'Centroid');
ce... |
2a60d8344621dcef514bb5ede1a23788de3f6b63d215c664d27d04750779cd8d | MATLAB | 1,917 | 58 | function [F] = VBA_FreeEnergy_UNL(posterior,suffStat,options)
% computes free energy of generative models with unnormalized likelihoods
% function [F] = VBA_FreeEnergy_UNL(posterior,suffStat,options)
% IN:
% - posterior: a structure containing the natural parameters of the
% marginal posterior pdf of the unknown mo... |
88d609a0b8ce03475c95e570af45088e73b1e0a0929fdefd7241445fa2aca4a7 | MATLAB | 1,917 | 53 | function B = expand(A,S)
%EXPAND Replicate and tile each element of an array, similar to repmat.
% EXPAND(A,SZ), for array A and vector SZ replicates each element of A by
% SZ. The results are tiled into an array in the same order as the
% elements of A, so that the result is size: size(A).*SZ. Therefore the
% numb... |
a71e277a8a35287a6a3755d6b7907d5357fa3c1cdada21a1d7339e4aa8df468d | MATLAB | 1,917 | 57 | % Color code for each image:
if ~exist('n_ima')|~exist('fc'),
fprintf(1,'No calibration data available.\n');
return;
end;
check_active_images;
if ~exist('alpha_c'),
alpha_c = 0;
est_alpha = 0;
end;
%if length(kc) == 4;
% kc = [kc;0];
%end;
%if ~exist('est_dist'),
% est_dist = (kc~=0);
%else
%... |
3d5dafa6a54afe846e1ce96168decb95c77f6b5fd0975eb4783bc6f796587294 | MATLAB | 1,918 | 61 | function help(topic, varargin)
%
%
%
%<PRE>
% This file is part of dspace-core.
%
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License as p... |
84744aa8650f670a2dcaeb8a5c8caf4263035a660f437226e62310110af4dc60 | MATLAB | 1,918 | 69 | % Author: Javier Lopez-Calderon & Steven Luck
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2009
%b8d3721ed219e65100184c6b95db209bb8d3721ed219e65100184c6b95db209b
%
% ERPLAB Toolbox
% Copyright © 2007 The Regents of the University of California
% Created by Javier Lopez-Calderon and Stev... |
ca1189c9e49998a20764567ac4bab9925d88184b3bc16205af828ecd3c0af223 | MATLAB | 1,918 | 62 |
filedir = 'C:\Users\chenf\Desktop\Output\Renamed\';
%filedir = '/Users/Shirin/Desktop/color/';
% File name convenction exframe7upscaled_round001_ch01
FILEROOT_NAME_INPUT = 'exseqautoframe7i'
parpool(10)
parfor round_num = 1:20
filepath_split1 = fullfile(fi,sprintf('%s_round%.03i',FILEROOT_NA... |
ffa07b42dcb7a5a07f1366204c8f93cd650b974eea71ce1e2c1ad0538996c60c | MATLAB | 1,918 | 58 | function plot_cleaning_steps
load('extracted_video_data.mat');
load('position_data');
load('extracted_position.mat');
parameters= list_of_parameters;
number_of_tracks= length(position.linear);
%plot pre and post processing x and y positions
figure;
subplot(2,1,1);
plot(positions.x,positions.y,'Color',[0.5 0.5 0.5]); ... |
0fbd0c746a792f7ffdc7ec53817f8f89dcfd29f5f5f153b750fb21d8b287e717 | MATLAB | 1,919 | 61 | function wsd = ws_distance(u_samples, v_samples, p)
% WS_DISTANCE 1- and 2- Wasserstein distance between two discrete
% probability measures
%
% wsd = WS_DISTANCE(u_samples, v_samples) returns the 1-Wasserstein
% distance between the discrete probability measures u and v
% corresponding to the sample vecto... |
dca308c418bc54461206e6ad4828d056b4869fba4b0eeab548bb09f2db8e9f12 | MATLAB | 1,919 | 74 | function img = fdct_wrapping_dispcoef(C)
% fdct_wrapping_dispcoef - returns an image containing all the curvelet coefficients
%
% Inputs
% C Curvelet coefficients
%
% Outputs
% img Image containing all the curvelet coefficients. The coefficents are rescaled so that
% the largest coefficent... |
fbf6891c05de18f33fd5fbf11c79c9fcfa19ac9f0dd1452670f80bb451c66a0d | MATLAB | 1,919 | 76 | function event = events_tsv(filename)
% helper function to extract events from a BIDS events.tsv file
opts = detectImportOptions(filename,'filetype','text');
% this gets the numeric stuff as doubles right away, yet might erroneously
% typecast intended strings (e.g. in event_value) into doubles.
tsv = readtabl... |
05b9b16dc7fb34ccd13424719ca78f8d9e9bab636dab024e4f1de5015d57125d | MATLAB | 1,920 | 57 | % Color code for each image:
if ~exist('n_ima')|~exist('fc'),
fprintf(1,'No calibration data available.\n');
return;
end;
check_active_images;
if ~exist('alpha_c'),
alpha_c = 0;
est_alpha = 0;
end;
if length(kc) == 4;
kc = [kc;0];
end;
if ~exist('est_dist'),
est_dist = (kc~=0);
else
if ... |
432af8a733d2fa52d3415a4810625405abf7a5163159b34b106bfb65a6d1f71c | MATLAB | 1,920 | 52 | function [headmodel] = ft_fetch_vol(cfg, data)
% FT_FETCH_VOL mimics the behaviour of FT_READ_VOL, but for a FieldTrip
% configuration instead of a file on disk.
%
% Use as
% [headmodel] = ft_fetch_vol(cfg)
% where you should specify the volume conductor model with
% cfg.headmodel = structure with volume condu... |
6ff26b04de0bbf52009f82efb81ee4f69e57cf86c1f312e8fdc31cd7a9ae115a | MATLAB | 1,920 | 62 | function M=matrandorth(n, tol)
%MATRANDORTH Generates random n x n orthogonal real matrix.
%
% M = MATRANDORTH(N) generates a random N x N orthogonal real matrix.
%
% M = MATRANDORTH(M,TOL) explicitly specifies a threshold value, TOL,
% that measures linear dependence of a newly formed column with the
% existin... |
bd8de4bcc93715aee8be2324b5499253a6a5f9030137a49845eece36ed3fdf15 | MATLAB | 1,920 | 73 | % Demo for Fitz-Hugh-Nagumo PA propagation
% Short bursts of depolarizing input current (u) are sent to a neuron that
% responds according to Fitz-Hugh-Nagumo model. Note that this does not
% generates 'all-or-none' spikes (as in the Hodgkin-Huxley model), but
% supra-threshold input create large deviations from equili... |
0791fd2d4ef5b6dc920d525a84dad37c8e2b88275d35f56028a6e0004d73a359 | MATLAB | 1,921 | 64 | % This code loads Results from Connectivity Analysis and compares it to
% resection and SOZ if quantative clinical data is available
% Abbas Sohrabpour
% 19/3/2018
clear all; close all; clc
bad_chan = [];
cd('../Grid Location and Defined Parameters')
load('UnconstCentLFD.mat')
[~, Num_Dip] = si... |
fac8a621c248278cbb4a690693c29291d3a1f68447a5ff083f5320f20c9a0595 | MATLAB | 1,921 | 53 | function [] = bz_plotTrials(varargin)
p = inputParser;
addRequired(p,'behavior',@isstruct);
addParameter(p,'condition',[],@isnumeric);
addParameter(p,'color',[0 0 0],@isvector);
addParameter(p,'endPoints',true,@islogical);
addParameter(p,'spacing',1,@isnumeric);
parse(p,varargin{:})
behavior = p.Results.behavior;
co... |
05fa156b06966094726e7c7e0ac8945f13b4098e9e7c5674a49db310967dafbb | MATLAB | 1,922 | 69 | function [tags, lines, codeLength, text] = tagfinder(filename, tagList)
% Find all of the tags in the given file
% Tags begin with PMTK, contain at least one other character, no spaces,
% and must reside within an m-file comment. The file must be on the Matlab
% path, and the tag must be a valid variable name, i.e. can... |
0fa54d6b39a6a010dbc151c8bf91d308b223f779ca44b6dd1ed50fd64902abac | MATLAB | 1,922 | 64 | function [roi,cjitter,rjitter] = cropsmart(imnc,imnr,roinc,roinr,...
roiCtrCol,roiCtrRow,varargin)
% Crop an roi around a given center point. Do something nondumb when the
% center is close to an edge of the image.
%
% imnr: positive integer, number of rows in image.
% imnc: " cols ".
% roinr: etc, number of rows in... |
45d051df85d95e95ddc3b747c5fcdb7f71efef344a75da522f03c772e0ef1c77 | MATLAB | 1,922 | 58 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function other_preprocessing_loops(srmr_nr, loop_number, subjects, conditions, sampling_rate)
switch loop_number
case 1
%% separate ENG channels
% load data
% select ENG channels
% bandpass + notch filter
% save
fo... |
8bdfcf4ff34de2b2912685b2cf4d7dbeacf1a98af3380a21868c4f648feb34a8 | MATLAB | 1,922 | 38 | % CHANNELS
% See also
%
% Fast channel feature computation code based on the papers:
% [1] P. Dollár, Z. Tu, P. Perona and S. Belongie
% "Integral Channel Features", BMVC 2009.
% [2] P. Dollár, S. Belongie and P. Perona
% "The Fastest Pedestrian Detector in the West," BMVC 2010.
% [3] P. Dollár, R. Appel and W. ... |
9e8670fea4ae965537f19f60e6a9116bd14812aa292226a18f6a45a9c0e2ea9b | MATLAB | 1,922 | 54 | function [x, cost, info, options] = manoptsolve(problem, x0, options)
% Gateway helper function to call a Manopt solver, chosen in the options.
%
% function [x, cost, info, options] = manoptsolve(problem)
% function [x, cost, info, options] = manoptsolve(problem, x0)
% function [x, cost, info, options] = manoptsol... |
27259cfa58edee9059dd7cb75a715906f00d30b53375356c5b7a3ccc1738ae6c | MATLAB | 1,923 | 71 | %% Illustration of a conjugate function
%
%%
% This file is from pmtk3.googlecode.com
function conjugateFunction
f = @(x) -log(5*x) - 5;
domain = 0.01:0.01:5;
offset = 0.04;
t = @(x) -(1/3)*x + f(3)+1-offset;
figureA;
printPmtkFigure('conjugateFunctionA');
figureB;
printPmtkFigure('conjugateFunctionB');
functio... |
27d0b3d40ee179ef0ed2a96f2e39140ea7e85b5d784019a921f5b8cf82b96d53 | MATLAB | 1,923 | 72 | function trList = TrialFilter(ts, filterStr, varargin)
hemi = 'L';
laser = -1;
if length(varargin) > 0
hemi = varargin{1};
if iscell(hemi)
hemi = hemi{1}(1);
else
hemi = hemi(1);
end
if length(varargin) >1
laser = varargin{2};
end
end
segLen = length(filterStr) / 2;
trL... |
df1fc771d1b176ff0e31fbb386ba829f9c18d742baacc4cb4505725981f18947 | MATLAB | 1,923 | 65 | function [varargout] = read_ctf_shm(varargin)
% READ_CTF_SHM reads metainformation or selected blocks of data from
% shared memory. This function can be used for real-time processing of
% data while it is being acquired.
%
% Use as
% [msgType msgId sampleNumber numSamples numChannels] = read_ctf_shm;
% or
% [data]... |
fc8caa74f887207845d9db63f849f7a5c754cd38a81130cd73a9b918ee8bb3be | MATLAB | 1,923 | 69 | function sutton_demo()
% do the example in Sutton and Barto (1998) p79
nrows = 5; ncols = 5;
obstacle = zeros(nrows, ncols);
terminal = zeros(nrows, ncols);
psucc_act = 1.0;
absorb = 0;
wrap_around = 0;
noop = 0;
T = mk_grid_world(nrows, ncols, psucc_act, obstacle, terminal, absorb, wrap_around, noop);
bump = mk_bump(... |
9dada70e00bf11824e6b44c76986fed8a7ce4fe2d245ab93b11bee61c7c6839a | MATLAB | 1,924 | 35 | % Author: Zachary Chiang, Buenrostro Lab, Harvard University
% Finds all pixels correlated to a given peak pixel over all images of an
% IGS experiment and sums signal into a cycles by channels matrix
% Only cosmetic modifications by Dan Goodwin, June 2021
function[mat, spot] = spot_caller(peak, all_stacks, spot_dim,... |
ba08ca18811ce3b9040b4ca9cc14fdad44beaa69f91022171194c83f9c1e9868 | MATLAB | 1,924 | 63 | function F=ShapeContext(Pointsc,Points)
%Calaculate ShapeContext vectors around Pointsc
%Points is what is calculated in the histogram for Pointsc
defaultoptions=struct('r_max',3,'r_min',1e-5,'r_bins',10,'a_bins',10,'rotate',0,'method',1,'maxdist',5);
options=defaultoptions;
F=getHistogramFeatures(Pointsc,Points,o... |
fcdbf4b24a2dc81b2c9508d47824eb8c7065a4efc3e6e0fc8222b10c8f5f119f | MATLAB | 1,924 | 70 | function [y_hat, beta] = CBIG_regress_X_from_y_train(y, X)
% [y_hat, beta] = CBIG_regress_X_from_y_train(y, X)
%
% This function regress covariates X (e.g. head motion) from y (e.g.
% behavioral scores) in the training set (for any preditive model).
%
% Inputs:
% - y
% A #TrainingSubjects x 1 vector. Each ro... |
61eeee6a104e2e83b154cd1df9cad19dc64fea8bccc3c849d36561d608c630a9 | MATLAB | 1,926 | 49 | %% Code Availability for Submission
% Artificial Intelligence-Optimized Non-Invasive
% and Treatment Response Prediction for Major Depression
%----------------------------------------
% Created By Alejandro Albizu
% Center for Cognitive Aging and Memory
% University of Florida
% 8/8/2023
%------------------------------... |
862dedab36d09258b1262fff76248e97b13798969a81dfe23f5277c033628ef4 | MATLAB | 1,926 | 58 | function params = fitRLogisticToSpikes(xvals, spikes)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
%unwrap and standardize variables
spikes = spikes(:);
xx = xvals(:);
yy = spikes/max(spikes);
%======... |
886782747f9b20b9e484813cf49479a53aa9e30e34f6a2e4427bae34f338ddb1 | MATLAB | 1,926 | 67 | classdef MovieIndexSetVariable < MovieIndexSet
properties
prettyString
prettyCompactString
id
getMovieIndicesHook % fcn with sig mIdx = fcn(labeler)
end
methods
function obj = MovieIndexSetVariable(ps,cps,fcn,id)
obj.prettyString = ps;
obj.prettyCompactString = cps;
obj.getM... |
571b2b2f00044d6696bd6bb4084684bd6b3fb5b3dc658eb57ca3d209bae099fc | MATLAB | 1,927 | 56 | function P = VBA_spm_mesh_project(M, dat, method, varargin)
% Project volumetric data onto a mesh
% FORMAT P = spm_mesh_project(M, dat, method)
% M - a patch structure, a handle to a patch
% or a [nx3] vertices array
% dat - a structure array [1xm] with fields dim, mat, XYZ and t
% (... |
63243a0b0df6cb4dec19f7adea6ce22b40532482ce9ca62b84ee296db848c35d | MATLAB | 1,927 | 45 | function StructMap(TempStruct,StructDepth)
TempStruct=ExperimentSet_PooledData.Refined_Quantifications.ExperimentSet(2).BoutonArray(1).All_QuaSOR_Data;
d=1;
DeconStruct(d).AllFields=fieldnames(TempStruct);
DeconStruct(d).NumFields=length(TempStruct);
ExperimentSet_PooledData... |
9191ccf95c0b5bdc32bbccb727c65328c6b8d51bf5d17c2a62663ab41f98037b | MATLAB | 1,927 | 62 | function dat = read_deymed_dat(filename, hdr, begsample, endsample)
% READ_DEYMED_DAT reads EEG data from the Deymed Truescan file format
%
% Use as
% dat = read_deymed_dat(filename, hdr, begsample, endsample)
%
% See also READ_DEYMED_INI
% Copyright (C) 2013, Robert Oostenveld
%
% This file is part of FieldTrip, s... |
d9a1d17e42e92bd3c0cd27e575d55d8ac74a34bbc7f0e38738c591ff1d42010b | MATLAB | 1,929 | 56 | function params = fitRLogistic3ToSpikes(xvals, spikes)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
%unwrap and standardize variables
spikes = spikes(:);
xx = xvals(:);
yy = spikes/max(spikes);
%=====... |
e751d5e6c0a68f77696eb2c01a826b0f55bd379afafe5b2122d7370c813d4d8c | MATLAB | 1,929 | 59 | % Purpose: Load FC matrices and create an average FC matrix for each participant.
% Inputs: FC matrices for individual rs-fMRI runs.
% Outputs: Single averaged FC matrix per individual.
%
% Written by M. Peterson, Nielsen Brain and Behavior Lab, under MIT License 2022
%To run:
% 1. Claim computing resources using sa... |
f21994aa4a41c52e5451362849bc81ac5dd57c71098fdd4ec618c344689838e8 | MATLAB | 1,929 | 65 | function [varargout] = read_ctf_shm(varargin)
% READ_CTF_SHM reads metainformation or selected blocks of data from
% shared memory. This function can be used for real-time processing of
% data while it is being acquired.
%
% Use as
% [msgType msgId sampleNumber numSamples numChannels] = read_ctf_shm;
% or
% [data]... |
1d933adb290869493b2c993db50ac8f9fbe71b45c56e8eeb18ed431137d28dad | MATLAB | 1,931 | 49 | function [varargout] = istable(varargin)
% ISTABLE is a drop-in replacement for the same function that was
% introduced in MATLAB R2013b.
%
% In all MATLAB versions prior to 2013b this function returns false.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
863f41e1bec0c98c6225351be35edc40a6ccc6271db4179ee00b154be79beef4 | MATLAB | 1,931 | 63 | % JPSTHJETCOLORMAP produce a colormap with warm colors for positive
% values and cold colors for negative values with green representing
% zero
% jpsthJetColormap.m
%
% Copyright 2008 Vanderbilt University. All rights reserved.
% John Haitas, Jeremiah Cohen, and Jeff Schall
%
% This file is part of JPSTH Toolbox.
%... |
01dbcbb96c5b456aa5ae349e7fdde6fb5fd6208895ad52b4aa3eb9458ca18835 | MATLAB | 1,932 | 77 | function show_window(cell_list,fig_number,title_figure,x_size,y_size,gap_x,font_name,font_size)
if ~exist('cell_list'),
error('No description of the functions');
end;
if ~exist('fig_number'),
fig_number = 1;
end;
if ~exist('title_figure'),
title_figure = '';
end;
if ~exist('x_size'),
x_size = 85;
end... |
b7a53227cc583362a04b282c48f08588e570ed26324acb3d6b951573202b15f3 | MATLAB | 1,933 | 57 | function [fitprms,res] = fitOutputNakaRushtonBase(xvals, spikes, varargin)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
foptim = @(p) optimizeNonlinearity(p, xvals, spikes);
%================================... |
6edf6498e56433bb9bb585f491cd9188545ef4f36dca5bdf2cc8598aadd119dc | MATLAB | 1,934 | 72 | %% Baseball Batting Average Shrinkage Estimates
% Reproduce example from
% "Data Analysis Using Stein's Estimator and its Generalizations"
% Bradley Efron; Carl Morris JASA Vol. 70, No. 350. (Jun., 1975), pp.
% 311-319.
%% Data
% 1970 batting averages for 18 major league players.
% first column = batting average for f... |
d18f756a40b3ac6271c855532a34d0dcf125255b23afa4803d661d3aa054a74a | MATLAB | 1,934 | 73 | function [xn,dxdf,dxdc,dxdk,dxdalpha] = normalize2(x_kk,fc,cc,kc,alpha_c),
%normalize
%
%[xn] = normalize(x_kk,fc,cc,kc,alpha_c)
%
%Computes the normalized coordinates xn given the pixel coordinates x_kk
%and the intrinsic camera parameters fc, cc and kc.
%
%INPUT: x_kk: Feature locations on the images
% fc: Cam... |
182cc8dcd30a717d9f366b5336f00a7c2d277479c66886f33ec1dd9c4ae733d3 | MATLAB | 1,935 | 61 |
filedir = 'C:\Users\chenf\Desktop\Output\Renamed\';
%filedir = '/Users/Shirin/Desktop/color/';
% File name convenction exframe7upscaled_round001_ch01
FILEROOT_NAME_INPUT = 'exseqautoframe7i'
for round_num = 1:3
filepath_split1 = fullfile(filedir,sprintf('%s_round%.03i',FILEROOT_NAME_INPUT,round... |
4b939f935d6088a47e28c7209735bc3cd4c58fdbcc28c39e445db0ac3c9f0ea2 | MATLAB | 1,935 | 62 | % [4D] shows R videos simultaneously as a movie.
%
% Plays a movie.
%
% USAGE
% playmovies( I, [fps], [loop] )
%
% INPUTS
% I - MxNxTxR or MxNx1xTxR or MxNx3xTxR array (if MxNxT calls
% playmovie)
% fps - [100] maximum number of frames to display per second use
% fps==0 to introduce n... |
fe7a0964594c60d71f7f422713dbfeedc2ebaa4ac2d7c54b6f8841e37463b2db | MATLAB | 1,935 | 75 | function View_ROI_Modules(IM,Anat,ROIxyz,params)
%
% This function generates a plot of ROI Sortings for
% various kden, scanning through the kden chosen.
%% Set up paramters
Modules=IM.key(:,2);
Cmap=IM.cMap;
ROI.Nfaces=50;
Nroi=size(Modules,1);
Params.Cmap=Cmap;
Params.Scale=length(Cmap);Params.OL=1;Params.PD=1;Para... |
4c56b70e557442e95e0b9dc3c22fbb9a40fe23e06c062ae3318d7733406ce4db | MATLAB | 1,936 | 79 | function biplotPmtk(C, varargin)
%% Replacement for the stats toolbox biplot function
% This file is from pmtk3.googlecode.com
[S, labels, pos] = process_options(varargin, ...
'scores' , [] , ...
'varlabels' , [] , ...
'positive' , false );
[n, d] = size(C);
is3D = (d == 3);
ns = size(S,... |
7f1957af2897ac27663e4b5ee075a14c4022fa7cb8c0b38089f730e830427107 | MATLAB | 1,936 | 73 | %% Naive Bayes classifier for binary MNIST digits
% PMTKslow
%%
%Ntrain=5000, 83 errors in 500, rate = 0.166
% This file is from pmtk3.googlecode.com
loadData('mnistAll') % already randomly shuffled across classes
% train_images: [28x28x60000 uint8]
% test_images: [28x28x10000 uint8]
% train_labels: [60000x1 uint8]
... |
8cb5397e8343ef63c7028a1525e79fbbc36cfc0e3373908c603aa16797fc6337 | MATLAB | 1,936 | 75 | function out = parseunits(in)
% empty case
if isempty(in),
out.num = {'unit'};
out.den = {};
return;
end
% allowed unit names
knownunitnames = {'mm','cm','deg','rad','frame','sec','unit','px'};
% remove white space
in = strrep(in,' ','');
% find starts of unit names
timesidx = strfind(in,'*');
divideidx = str... |
c745fcf74a84b98a5f40ff84d3269c9940eae1ea51cac56261deac3fccc82950 | MATLAB | 1,936 | 45 | function [S0,nTrans,nPathways] = S0Estimate(opt,PathwaySignalFirstOrder,PathwaySignalHigherOrder,GwaveFirstOrder,GwaveHigherOrder,TransFirstOrder,TransHigherOrder)
%%
%Initialise pathways
S0init=0;
S0HigherOrder=0;
%%
%Obtain indices of arrays for pathways to accellerate looping
[~,idxHigherOrder] = sort(abs(PathwaySig... |
ce198b9ef2ace2fa1ac90ef31fd07f9c6da2dae4d8641cc835f7982bb0b616d8 | MATLAB | 1,936 | 59 | function err = SpkError(spkWaves, template, wireSD, varargin)
% size(spkWaves) should be [waveLength numWires numSpikes]
% size(template) should be [waveLength numWires]
useMinErr = false;
if isempty(wireSD)
wireSD = median(std(spkWaves, 1),3);
end
useRelErr = false; % error measured relative to max average spike... |
25fa5cfc1c6bd56196588205fea39314c3a5c6b01206c4736d10833bf03b4090 | MATLAB | 1,937 | 38 | %% read deltaF/F summary excel files from Gabriella Sterne for plotting and AUC calculations
Gr5a_fed = xlsread('Gr5a_fed.xlsx');
Gr5a_fed = Gr5a_fed(:,2:end);
Gr66a_fed = xlsread('Gr66a_fed.xlsx');
Gr66a_fed = Gr66a_fed(:,2:end);
Gr5a_starved = xlsread('Gr5a_starved.xlsx');
Gr5a_starved = Gr5a_starved(:,2:end)... |
4bf249bac886d32428f7a2a357d0b658c8204dd919dc605f183cec52bdde1911 | MATLAB | 1,937 | 56 | function [faceColor,erColor,sColor] = meg_manuscriptStyleCue(cueLevel)
% function meg_manuscriptStyleCue(cueLevel)
% returns colors for group level plots by precue
% marker face color, errorbar color, subject color
[style, colors] = meg_manuscriptStyle;
colorMode = 'medium'; % light, medium color palette
switch... |
b68f439bed127533e170ef8bb9c7d6cf5709b028b64027144239714761346369 | MATLAB | 1,937 | 51 | function CBIG_VK2019_plot_subjScores(Lx,Ly,names_groups,grouping,signif_LC)
%
% This function plots the RSFC and behavior composite scores of all
% significant latent components (LCs). The diagnostic group of the subjects
% is indicated. Correlations between RSFC & behavior composite scores is
% displayed.
%
% Inputs:... |
59859dfda88c32a97e06e4482e78c3c2146320636119a36204e7609daafedbc5 | MATLAB | 1,938 | 29 | close all
clear
meter_list=ThorlabsPowerMeter; % Initiate the meter_list
DeviceDescription=meter_list.listdevices; % List available device(s)
test_meter_A=meter_list.connect(DeviceDescription,1); % Connect multiple devices
test_meter_B=meter_list.connect(DeviceDescripti... |
6beb8bad436ac182ee3e8bbd1c596851d91f70ac07b9bf0a9197c03f05adf92c | MATLAB | 1,938 | 61 | function [ wavecontext, timescontext ] = ...
wlAux_getContextTrace(wave, samprate, ...
minlengths, mincycles, ...
evfreq, evlength, evsampstart)
% function [ wavecontext, timescontext ] = ...
% wlAux_getContextTrace(wave, samprate, ...
% minlengths, mincycles, ...
% evfreq, evlength, evsampstart)
%... |
d83b27072b7523371dbb6979501c6bd70c7bfd8a2694c0d753f9875aa06cba7c | MATLAB | 1,938 | 80 | % Demo for Lorenz choatic system.
% This demo inverts a chaotic Lorenz system model, which is observed
% through a nonlinear sigmoid observation function.
clear variables
close all
% Choose basic settings for simulations
n_t = 3e2;
deltat = 2e-2;
alpha = 1e0/deltat;
sigma = 1e-1;
theta = [28;10;8/3];
f_fname = ... |
0eaaa777cf40561442a4f14c692134629f0ad44f36ce1734051e89c362be1ee1 | MATLAB | 1,940 | 66 | function ss_dimen = partitionx(nx, deltax, subs_min,subs_max)
%
% partition the space defined by deltax(order) into a group
% of sets, such that subs_max <= k <= subs_max for all sets
% of size k. Where possible, pick combinations of points
% which maximize a-b, where a is the norm of the new set /k and
% b is the nor... |
4af37edc13d87c925aa4f19c1c83d719ffcd7648ac40e438146042f15d0cd942 | MATLAB | 1,940 | 47 | function [lambhat, shat,Shat,Shatblock,bhat] = Estpars_CoordAscent_lambi_S_b(lambhat0,shat0,bhat0,r,Ai,Xi,zetai,ni,xbari,Ybar,Xzetai0)
P = length(r);
rtot = sum(r);
[T,n] = size(Ybar);
TP = T*P;
maxsteps = 10;
stopvar = true;
stopcrit = 1e-4;
k=1;
while stopvar
% Re-calculated sufficient stats, conditioned on b0
... |
582c1ffe9e10e4483dbf52738f48ecdd202bd07d8c1130cd7cb4ebac30ac0f84 | MATLAB | 1,940 | 38 | % SOFA API - demo script
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences
% Licensed under the EUPL, Version 1.1 or – as soon they will be approved by the European Commission - subsequent versions of the EUPL (the "License")
% You may not use this work except in compliance with the ... |
880bb64555836df07c6049bb79cdabb08226b26d939bb8c07463c2cb78fc4337 | MATLAB | 1,940 | 71 | %% Illustration of the bias variance trade off as we vary the L2 regularizer.
%
%%
% This file is from pmtk3.googlecode.com
function biasVarModelComplexity
setSeed(0);
n = 25; d = 1;
lambdas = [exp(6),exp(0.5),exp(-2.5)];
ndataSets = 100;
showNsets = 20;
f = @(x) sin(2*pi*x);
domain = (0:0.0005:1)';
for lam=1:numel... |
8ebd7e1f42e35f886630f7b6c103127cb1dacce9b50e87e6b1d8aefe19e4fc45 | MATLAB | 1,940 | 88 | function [Y,T]=phasespace(x,dim,tau)
%Syntax: [Y,T]=phasespace(x,dim,tau)
%___________________________________
%
% The phase space reconstruction of a time series x with the Method Of Delays
% (MOD), in embedding dimension m and for time dalay tau.
%
% Y is the trajectory matrix in the reconstructed phase space.
% ... |
a8990dbed6eb3e02429a596269b9b8902043378206548d3e109187d66dd51d89 | MATLAB | 1,940 | 78 | % Create Table
clear all
close all
%% Call data and functions
addpath C:\code\spm12
addpath D:\ECoG_Atlas\functions
addpath C:\code\wjn_toolbox
spm('defaults','eeg')
%% Load info data
load dataset_info_tf
%% Rearrange multidimensional matrix to a 2D matrix
data = info.range_values;
n = 0;
data_matrix = [];
for b = 1... |
333e79fead5db421f203edfae03183de5f85e8e06f2871d9c639ddda59ace1c2 | MATLAB | 1,941 | 92 | function vrbstr = ch_verbose ( inpstr, prespace, postspace, indent )
%% About
%
% Name: ch_verbose
% Version: 1.0
%
% Christoffer Hatlestad-Hall
%
%
% Date created: 18 Mar 2020
% Date last modified: 07 Apr 2020
%
% ------------------------------------------------------------------------------------------... |
4f6cb74f78a18187074271091aa6cc88b9fa3358e946a1a64d99d2de35ccd165 | MATLAB | 1,941 | 66 | function [ix] = VBA_spm_fieldindices(X,varargin)
% Return the indices of fields in a structure (and vice versa)
% FORMAT [i] = spm_fieldindices(X,field1,field2,...)
% FORMAT [field] = spm_fieldindices(X,i1,i2,...)
%
% X - structure
% field1,.. - fields
%
% i - vector of indices or feildname{s}
%
%__... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.