sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
41fe66e6af7e92538f3ffdc2b082bf9fad458a7963c41b956363910e8c791094 | MATLAB | 566 | 24 | % NDM
%
% Evaluate NDM predictions [y] at desired time stamps.
%
% Input:
% x0 = Initial Condition
% time_stamps = provided in units given by experiment
% C = connectivity matrix
% beta = diffusivity parameter
%
% Output:
% y = NDM predicted vectors (columns) at ... |
2774b708a847ef3fc546b6cf4e0568c0913331993940582bcaafdc765b24b1a6 | MATLAB | 567 | 23 | function BootSamp = nk_BootSamp(labels,nboot,perc)
m = length(labels);
minl=min(labels);
maxl=max(labels);
BootSamp = zeros(m,nboot);
for i=1:nboot
for j=minl:maxl
ind = find(labels==j);
lind = length(ind);
pl = round(lind*perc/100);
pind = randsample(ind,pl,false);
... |
b90e48612df69fffdd99132e358fdec481f538ffb638d642994595b6c04590ef | MATLAB | 569 | 15 | function [X] = normalize(X,samplesize)
% ----------------------- Input ------------------------------
% X: samples of all tasks (each row is a sample)
% samplesize: the i-th entry is the sample size of the i-th task
% ----------------------- Output -----------------------------
% X: normalized data matrix
tasknum = le... |
3c31e6bd9d2deaeb208eda14f831b348ada06b4ac8a52fc6e94ab4cf58c44243 | MATLAB | 570 | 24 | function map = coolhot4(siz)
% Create a colormap that goes in this order:
% Blue - White - Red
%
% Usage:
% coolhot4(siz)
%
% siz : Size of the colorbar. To ensure symmetry,
% an even number is recommended.
%
% _____________________________________
% Anderson M. Winkler
% Yale University / Institute of Living
%... |
7c236bc96bf1d4d75287ffcc8757650648801dd9fcc5a06cf9d79ad255948a4d | MATLAB | 570 | 23 | % Objective function for NDM
%
% param(1) = beta
% param(2) = x0_value
function [f] = fun_test(param,seed_location,pathology,time_stamps,C)
%y = param(1)*param(2) - pathology(2,1) + C(1,1) + seed_location(1);
% Define Laplacian matrix L
rowdegree = (sum(C, 2)).';
L = diag(rowdegree) - C;
% Calculate predic... |
760e8b44065026f0bfc299c49188f365065f7f31254796b6f0596741956b5d03 | MATLAB | 571 | 17 | function drgui
%DRGUI Runs the graphical user interface of the DR toolbox
%
% drgui
%
% Runs the graphical user interface of the dimensionality reduction toolbox.
% This file is part of the Matlab Toolbox for Dimensionality Reduction.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are fre... |
a06dc77ba907aafe42bcba7e6f8d04d0509166216d6ceec3eef2ade7c6765a16 | MATLAB | 574 | 25 | function SNR = CalculateSNR( self, WV )
% SNR = CalculateSNR(self)
MCD = MClust.GetData();
mySpikes = self.GetSpikes();
if nargin==1
WV = MCD.LoadNeuralWaveforms(mySpikes, 2);
end
[~, nCh, ~] = size(WV.data);
mWV = MClust.AverageWaveform(WV);
[~, maxPeak] = max(abs(mWV));
noiseSpikes = setdiff(1:MCD.nSpikes(), ... |
a437f87a8a1b40437d9c120617461929c9b700c2eca49dead2a247e57443f352 | MATLAB | 574 | 26 | function [L,IsoD, F, m] = CalculateLRatio_and_IsolationDistance( self )
% Calculate LRatio and Isolation Distance for speed
% ADR 2013/12
% construct components
% 1. FD for each element of ClusterSeparationFeatures
MCS = MClust.GetSettings();
[T, F] = MClust.CalculateFeatures(MCS.ClusterSeparationFeatures);
nSpike... |
7cbfafce1c07478769bfa8aee15d9af1f45617b0afff5f3723a6a696b0a5a03f | MATLAB | 575 | 20 | function bw = hsvThreshold(frame,hsvLevels)
%HSVTHRESHOLD Summary of this function goes here
% Detailed explanation goes here
frame = rgb2hsv(frame);
h = frame(:,:,1);
s = frame(:,:,2);
v = frame(:,:,3);
hMask = h >= hsvLevels(1) & h <= hsvLevels(2);
if (hsvLevels(1)<0)
hMask = hMask |... |
0233af2212dd57d8fd819458b91ec30af2c4ab4d016bd96896455d862755fcb9 | MATLAB | 576 | 40 | function [r, p, Td] = spear(x,y)
% Find the data length
N = length(x);
% Get the ranks of x
R = crank(x)';
% Get the ranks of y
S = crank(y)';
% Calculate the Spearman correlation coefficient
r = 1-6*sum((R-S).^2)/N/(N^2-1);
% Calculate the t statistic
if r == 1 || r == -1
t = r*inf;
else
t=r.*sqrt((N-... |
23ee949221dcdb9e18d2c5d71f1592ae1015adfd0848cef53474123d3d1a1693 | MATLAB | 576 | 18 | % pnopt_flags
%
% $Revision: 0.8.0 $ $Date: 2012/12/01 $
%
FLAG_OPTIM = 1;
FLAG_XTOL = 2;
FLAG_FTOL = 3;
FLAG_MAXITER = 4;
FLAG_MAXFEV = 5;
FLAG_MAXFUNEV = 5;
FLAG_OTHER = 6;
MESSAGE_OPTIM = 'Optimality below optim_tol.';
MESSAGE_XTOL = 'Relative change in x below xtol.';
ME... |
5687dd97d0be0e9c248570a514a20c13616cac3f64d1aafa66c1dab4e235faeb | MATLAB | 578 | 24 | function map = coolhot6(siz)
% Create a colormap that goes in this order:
% Cyan - Blue | Red - Yellow
%
% Usage:
% coolhot6(siz)
%
% siz : Size of the colorbar. To ensure symmetry,
% an even number is recommended.
%
% _____________________________________
% Anderson M. Winkler
% Yale University / Institute of ... |
a36206d4d7d8b5c7f6e493ab6d40352f96463587838ab5a02d8d4b6186d69f5d | MATLAB | 578 | 24 | function map = coolhot5(siz)
% Create a colormap that goes in this order:
% Cyan - Blue | Red - Yellow
%
% Usage:
% coolhot5(siz)
%
% siz : Size of the colorbar. To ensure symmetry,
% an even number is recommended.
%
% _____________________________________
% Anderson M. Winkler
% Yale University / Institute of ... |
8a8118cc7511555f3b29a2c81ccb50e94dd3f568ef3393de7bb5ad04667dba03 | MATLAB | 579 | 16 | function opt_def = nk_matLearn_FindDefInParam_config(opt_format, opt_name, opt_def, opt_sel, param)
switch opt_format
case 'yes|no'
if strcmp(param.name, opt_name) && ~param.range, opt_def = 2; else, opt_def = 1; end
case {'e','s','i'}
if strcmp(param.name, opt_name), o... |
80a17256cdc032e9edf26b86b8f07f48efa8ec3e44fa9230d68092b4589c7b2d | MATLAB | 580 | 24 | function default = mp2rage_get_defaults(defstr)
%MP2RAGE_GET_DEFAULTS Get the defaults values associated with an identifier
%
% Example : reg = mp2rage_get_defaults('rmbg.regularisation')
% alldef = mp2rage_get_defaults
%
% See also mp2rage_defaults
% Get all defaults parameters
mp = mp2rage_defaults;
if... |
e38fa89a0b345b47bc42ed49c45c22344f3257086f3b6c05a842b2eff284696b | MATLAB | 580 | 15 | function flip = spm_flip_analyze_images
% Do Analyze format images need to be left-right flipped? The default
% behaviour is to have the indices of the voxels stored as left-handed and
% interpret the mm coordinates within a right-handed coordinate system.
%
% Note: the behaviour used to be set in spm_defaults.m, but t... |
9e84bc85af01f91b6d98cfafd4d47cb97740162eb47c9f65419d785df781bf8b | MATLAB | 582 | 25 | function ClusterFunc_AddSpikesFromUnaccountedByCvxHull(self)
% PreCut Clusters - ClusterFunc_RemoveSpikesByPolygon
%
% Adds ability to add individual spikes
MCC = self.getAssociatedCutter();
MCC.StoreUndo('Add Spikes from Unaccounted by Cvx Hull');
[xg,yg] = DrawPolygonOnAxes(MCC, true);
plot(xg,yg,'-', 'color', sel... |
bad70a1222b5afaef60cf19b23313910b0a883d05ada753558b38e56a2f9fc1e | MATLAB | 583 | 26 | function tso = smooth(tsa, sigma, window)
% function tso = smooth(tsa, sigma, window)
%
% Smooths the the elements of a tsd
% to apply to x,y run sd.x = SmoothPath(sd.x); sd.y = SmoothPath(sd.y);
%
% PARMS
% sigma % in seconds
% window % in seconds
%
% builds a gaussian smoothing function (stdev = sigma) of nW (win... |
d41901c678e2ea6a4eb143c5e20e0df695a807307d7186566570aea1594f65ac | MATLAB | 583 | 26 | function ClusterFunc_AddSpikesFromUnaccountedByPolygon(self)
% PreCut Clusters - ClusterFunc_RemoveSpikesByPolygon
%
% Adds ability to add individual spikes
MCC = self.getAssociatedCutter();
MCC.StoreUndo('Add Spikes from unaccounted by Polygon');
[xg,yg] = DrawPolygonOnAxes(MCC, false);
plot(xg,yg,'-', 'color', sel... |
47118fbadae6ffcf00ec659d4efa5ebc1305400914e7fc7fc3bc8bc3913951a7 | MATLAB | 584 | 18 | function load_selSubParams(handles)
curclass = get(handles.popupmenu1,'Value');
if curclass>numel(handles.ModelParamsDesc), curclass=1; end
popupstr = handles.ModelParamsDesc{curclass}';
popupstrgr1{1} = 'All parameters'; cnt=2;
for i=1:numel(popupstr)
if iscell(handles.ModelParams{curclass})
nuPi = numel(... |
a64549fc2cdac0192303283ad450b059aeb3dfe68ee6a560d8bad99428112c4c | MATLAB | 584 | 21 | function out = isnan(fa)
% Logical array containing true where the elements of file_array are NaN's
% FORMAT isnan(fa)
% fa - a file_array
%__________________________________________________________________________
% Copyright (C) 2005-2018 Wellcome Trust Centre for Neuroimaging
%
% $Id: isnan.m 7501 2018-11-30 12:16:... |
13f93375c6944d168a6938992a08386666f6099d82c9409c833fc6664c46554a | MATLAB | 587 | 22 | function ClusterFunc_Convert(self)
% f = CopyCluster(self)
% ncst 26 Nov 02
% ADR 2008
%
MCS = MClust.GetSettings();
[AvailableTypes, AvailableNames] = MCS.FindAvailableClusterTypes();
[Selection, OK] = listdlg(...
'ListString', AvailableNames, ...
'SelectionMode', 'single', ...
'InitialValue', [], ...
'Name', '... |
95071e5b64d6f00b717502f6d10f5b29110aa1ffffebde19cf7552254b34c20c | MATLAB | 587 | 29 | function [S, Salgo] = GetSalModeStr(FEATSEL)
Salgo = 0;
switch FEATSEL.salthreshmode
case 0
switch FEATSEL.salthreshalgo
case 1
S = 'IMRelief';
case 2
S = 'kNN';
case 3
S = 'RVM';
case 4
S = '... |
386548ba194012991c7a2d7f590499048210699ca9104cad375e7b91288eeef9 | MATLAB | 589 | 21 | function ClusterFunc_ShowHistISI(self)
% ShowHistISI(self)
%
% NONE
% ADR 2003
%
% Status: PROMOTED (Release version)
% See documentation for copyright (owned by original authors) and warranties (none!).
% This code released as part of MClust 3.0.
% Version control M3.0.
% Extensively modified by ADR to accomodate ne... |
3f2ef8b6a0f70384617cf965b9e109771e0ddae5ccf19b6990328a0f64949023 | MATLAB | 589 | 36 | clear;
clc;
addpath('../../utils/');
lambda1 = 1;
lambda2 = 1;
opts.tol = 10^-4;
opts.max_iter = 1000;
opts.tFlag = 1;
opts.init = 0;
sample_size_arr = [500 500 500 500 500];
task_num = length(sample_size_arr);
dimension = 200;
X = cell(task_num, 1);
Y = cell(task_num, 1);
W = rand(dimension, task_num);
for t = 1... |
00bf7a59878a3e9946b681e01f9215fc78cb11a64191c69209b0dedec8642d8b | MATLAB | 591 | 16 | % =========================================================================
% FORMAT param = ACCURACY(expected, predicted)
% =========================================================================
% Compute classification accuracy
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) Nikol... |
68dfe039697abab8b7587b1193ffcbb294024c6ca473dbfb1a857039004ebdba | MATLAB | 591 | 23 | function set_my_topo(fig)
%SET_MY_TOPO
% SET_MY_TOPO(fig) sets properties of topoplot (marker size, line width, contours)
% Johanna Petra Szabó, 10.2024
% Lendulet Laboratory of Systems Neuroscience
% Institute of Experimental Medicine, Budapest, Hungary
% szabo.johanna@koki.hun-ren.hu
% Electrode loca... |
c0c826a9da836bc97c8981fd5d5620aaff3c1c15d85304e33b0b48cea1264238 | MATLAB | 592 | 23 | function [filename,folders,namef] = findallmov(folder_name,fm,suffix)
filename{1} = [];
folders = {};
namef = {};
ik = 1;
for k = 1:length(fm)
[~,namef0,ext] = fileparts(fm(k).name);
ismov = 0;
for ie = 1:length(suffix)
if strcmp(ext, suffix{ie})
ismov = 1;
break;
... |
0adf2028e5b10b37bfb76d543a3a61ddc154691f899df4e2a1fdd4a1e02dfa9f | MATLAB | 595 | 17 | function sYw = nk_SmoothMaskInActParam(uPREPROC, PV)
I = arrayfun( @(j) isfield(uPREPROC.ACTPARAM{j},'RANK'), 1:numel( uPREPROC.ACTPARAM ));
sYw=[];
if any(I)
Ix = find(I);
for qx = 1:numel(Ix)
if isfield(uPREPROC.ACTPARAM{Ix(qx)}.RANK,'EXTERN')
sYw = nk_PerfSpatFilt( uPREPROC.ACTPARAM{Ix(q... |
960a876168523c17b0e8727d97cf91242c34790fda24d1e25ba011b363778eaf | MATLAB | 595 | 24 | function [X,Y] = proj_def(X, Y, u, v)
%
% Perform projection deflation of matrices X and Y using u and v
% Please check Monteiro et al. 2016 for details:
% doi:10.1016/j.jneumeth.2016.06.011
%
% Inputs: X, Y - data matrices in the form: samples x features.
%
% u, v - weight vectors for X and Y, ... |
47face8c6c744f8b978851f61c084b6521ba6f8a13a4e230fe2d33b3a31fcd78 | MATLAB | 596 | 25 | % draws small ROIs (on right of GUI) and sets their settings
function h = drawSmallROI(h)
h.plotROIs(h.indROI) = 1;
nxS = floor(h.nX{h.whichview} / h.sc);
nyS = floor(h.nY{h.whichview} / h.sc);
h.ROIfile(h.indROI) = h.whichview;
if isempty(h.locROI{h.indROI})
ROI0 = [nxS*.25 nyS*.25 nxS*.5 nyS*.5];
else
ROI0 ... |
f0cbdf8818adab08a1da6445c5d4a05b63d90666831eddf9f2755697ea0a4bf5 | MATLAB | 596 | 26 | function tso = smooth(tsa, sigma, window)
% function tso = smooth(tsa, sigma, window)
%
% Smooths the the elements of a tsd
% to apply to x,y run sd.x = SmoothPath(sd.x); sd.y = SmoothPath(sd.y);
%
% PARMS
% sigma % in seconds
% window % in seconds
%
% builds a gaussian smoothing function (stdev = sigma) of nW (win... |
b64d1510a9d51a1fcac538587bc2dda00845d49181445a3f7474ca4837434e85 | MATLAB | 597 | 18 | function [op, str, sortdir, optstart, minmaxstr, minmaxfl, op2] = nk_ReturnEvalOperator(GridParam)
switch GridParam
case {1, 2, 5, 6, 7, 10, 13, 14, 16, 17, 15, 19}
op = 'ge'; str='above'; sortdir = 'descend'; minmaxstr = 'max'; minmaxfl = 1; op2 = 'gt';
switch GridParam
case 19
... |
f3cd01833c8e866795893ac2cfc35d83b37ae8fefa11a8f7f817e4d169a08805 | MATLAB | 598 | 16 | function mat2file(a,val,varargin)
% Function for writing to file_array objects
% FORMAT mat2file(a,val,ind1,ind2,ind3,...)
% a - file_array object
% val - values to write
% indx - indices for dimension x (int32)
%
% This function is normally called by file_array/subsasgn.
%____________________________________... |
01a4933d0731f21fc3bddfe13603b802d69302722f686933386ded5292c5ee7f | MATLAB | 599 | 21 | function beta = mbm_eigen_decompose(statMap, eig)
% Calculates the beta spectrum from the statistical map and the eigenmodes.
%
%% Inputs:
% statMap - vector of the statistical map (1xn).
%
% eig - matrix (nxm) with m columns of eigenmodes, where each
% eigenmode has n elements.
%
%% Output:
% beta ... |
1c0ea5696854f1cc972998ce4f6f8eff40eeb661fb2aa7201415048de6bcb73e | MATLAB | 599 | 27 | %=========================================================
%
%This is a prog in the MutualInfo 0.9 package written by
% Hanchuan Peng.
%
%Disclaimer: The author of program is Hanchuan Peng
% at <penghanchuan@yahoo.com> and <phc@cbmv.jhu.edu>.
%
%The CopyRight is reserved by the author.
%
%Last modification: April... |
1a7b544c6e6d3005adbc1d991ebb4ef484de20876cb14160073dcef3413aedb3 | MATLAB | 601 | 15 | % =========================================================================
% FORMAT param = DOR(expected, predicted)
% =========================================================================
% Compute Diagnostic Odds Ratio of classification:
% sens/(1-spec)/((1-spec)/sens);
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
9a17e53130fe69aa4362a8ca37b1f60f0ad4366a4dd078733eab0e2fa3e74e77 | MATLAB | 603 | 16 | function val = file2mat(a,varargin)
% Function for reading from file_array objects
% FORMAT val = file2mat(a,ind1,ind2,ind3,...)
% a - file_array object
% indx - indices for dimension x (int64)
% val - the read values
%
% This function is normally called by file_array/subsref.
%_______________________________... |
2f4ec3d0ff977181434a29a20e877a5cfac34ee8c7264546c9a3738ecb53646b | MATLAB | 604 | 23 | function h = mutualinfo(vec1,vec2)
%=========================================================
%
%This is a prog in the MutualInfo 0.9 package written by
% Hanchuan Peng.
%
%Disclaimer: The author of program is Hanchuan Peng
% at <penghanchuan@yahoo.com> and <phc@cbmv.jhu.edu>.
%
%The CopyRight is reserved by the ... |
e024cf211861da91f4eb5c7a641d0253618721f23f3593977151c6466c13d1d5 | MATLAB | 604 | 24 | function s1 = resize_scales(s0,dim,args)
% Resize scalefactors
%__________________________________________________________________________
% Copyright (C) 2005-2017 Wellcome Trust Centre for Neuroimaging
%
% $Id: resize_scales.m 7147 2017-08-03 14:07:01Z spm $
dim = [dim ones(1,max(numel(args)-numel(dim),0))];
args... |
5b9145ee240e35747a02c40798c6f7a559983e849ddd9839a0e14e3902fc2296 | MATLAB | 607 | 23 | function NumParam = nk_CheckNumParam
global SVM
NumParam = 0;
if iscell(SVM.kernel.kernstr), kerntyp = SVM.kernel.kernstr{1}; else kerntyp = SVM.kernel.kernstr; end
switch SVM.prog
case {'LIBSVM','SVMLIT','SVMPRF','CUDSVM'}
if any(strcmp(kerntyp,{' -t 0',' -t 4',' -t 5', 'lin', 'linear', 'lin_kernel'})... |
8b4a50f086d9c6307a7531f7c09fa7fb438b2e8e095064112cd73d02bca8e28a | MATLAB | 608 | 22 | function K = WLKernel_setsInput(Y1, Y2, height) % in case of test kernel, Y1 should be Ytest
if ~isequal(Y1,Y2)
test = 1;
Y = vertcat(Y1,Y2);
else
test = 0;
Y = Y1;
end
gList = [];
for i = 1:size(Y,1)
graph = array_to_graph(Y(i,:));
gList = [gList, ... |
456555e57cc322992c6f409f54bd319674e55f32f1cec09fe3ee0b2f560a0150 | MATLAB | 610 | 22 | cd(homedir); addpath(genpath(pwd));
load(fullfile(savedir,'W.mat'));
Wnull = randmio_dir(W,10);
save(fullfile(savedir,'Wnull.mat'),'Wnull');
coor = csvread('Data83018/coor.csv',1,1);
D = squareform(pdist(coor,'Euclidean')); % R first then L
save(fullfile(savedir,'D.mat'),'D')
%% degree sequence, weight-length, w... |
8aa5f67d4ed23b88ecab7596ecc63b66a1ebb0858461794f026c36674c54e1a3 | MATLAB | 611 | 19 | function options = get_nmf_default_options()
options.max_epoch = 100;
options.f_opt = -Inf;
options.tol_optgap = 1.0e-12;
options.verbose = 0;
options.store_sol = false;
options.batch_size = 1;
options.permute_on ... |
9375a05528c1720dcd6fd18237515f17e71826919b16ae719aa168576b5b22f9 | MATLAB | 611 | 19 | load('/media/carsen/DATA2/grive/10krecordings/2017-06-25_1_M161025_MP030_eye_proc.mat');
proc2=proc;
%%
nframes = proc2.nframes;
iframes = cumsum([0; nframes]);
for k = 1:length(nframes)
clear proc;
proc.data.face.motionSVD = proc2.motSVD{1}(iframes(k)+1:iframes(k+1), :);
proc.data.face.motionMask = proc2.uMotMa... |
6dab396d95e09fcf69f6d4631466d219c42de2b3390297e75a72f522817c2065 | MATLAB | 615 | 12 | function mripy_write_asc(fname, verts, faces)
%MRIPY_WRITE_ASC Write FS/SUMA surface (vertices and faces) as *.asc format.
% 2017-08-13: Created by qcc
n_verts = size(verts, 1);
n_faces = size(faces, 1);
assert(n_verts == max(reshape(faces(:,1:3),[],1))+1); % Sanity check
dlmwrite(fname, ['# Created '... |
cfbf38d60c8deb896f34aaaf0793f43ad25b1460f4bba34d4885839ec6c3c103 | MATLAB | 615 | 23 | function CL = getNMcolors
CL = [ rgb('Blue'); ...
rgb('Red'); ...
rgb('Green'); ...
rgb('Yellow'); ...
rgb('Magenta'); ...
rgb('Cyan'); ...
rgb('LightBlue'); ...
rgb('Orange'); ...
rgb('LightGreen'); ...
rgb('Moccasin'); ...
rgb('DarkGree... |
b533ec1f66d825aa12956b6e2910701731318b3acb76f679618b7958e17f2bf6 | MATLAB | 616 | 20 | %% find response cell for each event
% This code is to identify behavioral event (trial start, approach, decision, outcome) responsive cells
% input: sig (calcium data), behEvtTbl (behavior event table), fps: calcium frame rate 10Hz
% output: logic matrix for activated, inhibited and non-responsvie cell in each ... |
052d57571ce7aa0ead9d252e67b8005a6386fdc54cd7387d8c7b01c35210df6a | MATLAB | 617 | 30 | function [S, Salgo] = GetSalModeStrAlgo(FEATSEL)
Salgo = 0;
switch FEATSEL.salthreshmode
case 0
switch FEATSEL.salthreshalgo
case 0
S = '';
case 1
S = 'IMRelief';
case 2
S = 'kNN';
case 3
S = ... |
1a26f06c309d9637b2a7d13adc82522842aee9f5aadebe10ae5de2cebf3f49ab | MATLAB | 617 | 14 | % =========================================================================
% FORMAT param = NRMSD(expected, predicted)
% =========================================================================
% Compute Normalized Root of Mean Squared Deviation (NRMSD) of regression
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
1f05a96a5f29d26a6c40bb66fa9041d10a4980099a95f6262361b343ea731ce6 | MATLAB | 618 | 28 | function R = restrict(tsa, t0, t1)
% R = Restrict(tsa, t0, t1)
% Returns a new tsa (ts) R so that only D.Data is between
% timestamps t0 and t1, where t0 and t1 are in units
%
% If units are not specified, assumes t has same units as D
% t0 and t1 can be arrays
%
% ADR 2011
% version L6.0
if nargin < 3
error... |
7aeccb9495ca5f6d3de6a3aa063ebf059979f1a5f91869096be2cd1fbf80f9d2 | MATLAB | 618 | 22 | function [varind, varstr] = nk_SelectCovariateIndex(dat, varind, askfl)
if ~exist('varind','var') || isempty(varind), varind = 1; end
if ~exist('askfl','var') || isempty(askfl), askfl = 1; end
nD = size(dat.covars,2);
if askfl && nD == 1
varind = 1;
else
fprintf('\n******************************')
fprintf... |
a184efe23b183d64e3e6b1809c5fe930c9b36768f36b244cb17719bf51866fe6 | MATLAB | 618 | 29 | function leftoverV = process_varargin(V)
% leftoverV = process_varargin(V)
%
% INPUTS
% V - varargin cell array
%
% OUTPUTS
% leftoverV - varargins not processed
%
% expects varargin to consist of sequences of 'variable', value
% sets variable to value for each pair.
% changes the current workspace!
%... |
ff5ada201cae7256dc3ceb9ac22890c30615f99f412a60c958846f24d98695b4 | MATLAB | 618 | 28 | function [D, mD] = nk_ComputeMnMdPairWiseDiff(G, func, act)
switch func
case 'mn'
func = @nm_nanmean;
case 'md'
func = @nm_nanmedian;
end
[m,n] = size(G);
switch act
case 'meandiff'
D = zeros(m,n);
for i=1:n
vec = true(1,n); vec(i)=false;
D(:,i) = fu... |
f4086d6a8565606b80b26df42348aee72c96df6ff0a893009b55e07575ac7f42 | MATLAB | 620 | 23 | %one-way rm anova stat, using function RMAOV1(X,alpha)
load 'N250_both.mat'
y = erpval;
[n,c2] = size(y);
%column numbers for categories tested using one-way anova
%col1: UM F / col2: UM Fa / col3: UM UF / col4: M F / col5: M Fa / col6: M UF
y_anova = y(:,[3 6]);
Y = y_anova(:); % dependent variable
S=[1... |
8f2f969d69df9337f0befced98eeb53f822be30a6f1aec1f26932ad5c63cd67e | MATLAB | 621 | 22 | function param = nk_CostFun_config(param, SVM, MODEFL, defaultsfl)
% Defaults
if strcmp(SVM.kernel.kernstr,' -s 0')
CostFun = 3;
else
CostFun = 2;
end
if isfield(param,'CostFun'), CostFun = param.CostFun; end
if ~exist('defaultsfl','var'), defaultsfl = 0; end;
if ~defaultsfl
CostFun= nk_input('Cost ... |
d82460dcc28e2a1638eaf871b67039e84a102294d872758c6df8dc0e039bfefc | MATLAB | 622 | 24 | function cv = nk_LOOpartition(Labels)
% =========================================================================
% function cv = nk_LOOpartition(Labels)
% =========================================================================
% (c) Nikolaos Koutsouleris
indn = isfinite(Labels);
K = numel(Labels(indn));
KN = numel(L... |
20f050060116afee82779313525dc4668f05ce488033ef832598b707ee89012e | MATLAB | 623 | 34 | % test the main formulation
addpath('../MALSAR/c_files/largescale_ops/');
addpath('../MALSAR/functions/pacifier/');
clear; clc;
rng(1985)
n = 12;
k = 40;
d = 1000;
t_min = 150;
t_max = 200;
density = 0.001;
X0 = cell(n, 1);
for i = 1 : n
X0{i} = sprand(d, t_min + randi(t_max-t_min, 1), density);
end
reg_l1 = ... |
209013f6dddb9cd1c3fe97e972ea7ff0b0b9abad1bc7e8751d489e804dece591 | MATLAB | 628 | 19 | function NM = nk_InitNMwindowColors(NM, cl)
try
if ~isfield(NM.defs,'JTextArea') || isempty(NM.defs.JTextArea)
cmdWinDoc = com.mathworks.mde.cmdwin.CmdWinDocument.getInstance;
listeners = cmdWinDoc.getDocumentListeners;
for i=1:numel(listeners)
listener_str = listeners(i).to... |
508a6c99a629cddfac576df1fb397178bab5f42ef110e7b38f7b46417478b170 | MATLAB | 629 | 20 | function msExtractSFPs(ms);
%msExtractSFPs Extracts spatial footprints to perform chronic re-alignment
% Converts spatial footprints from m,k,n (UCLA) to n,m,k (Ziv's lab) where
% n is the number of neurons, k pixels in x axis, and m pixels in y axis
%
% Author: Guillaume Etter
% Contact: etterguillaume@gmail.com
for ... |
627bb0143857b3e0d37c62d0d95ac88af91e197a3501de13798886663d321cf8 | MATLAB | 629 | 25 | function map = coolhot2(siz)
% Create a colormap that goes in this order:
% Cyan - Blue - Black - Red - Yellow
%
% Usage:
% coolhot2(SIZ)
%
% - SIZ = Size of the colorbar. To ensure symmetry,
% an even number is recommended.
%
% _____________________________________
% Anderson M. Winkler
% Yale University / In... |
9cbd4a74821a98ec6bab8fe96c01cd91b183cb69d6feedea9ef3bb9702c002e1 | MATLAB | 630 | 25 | function result = runntimes(K,lk,n)
% Copyright 2012 Nino Shervashidze, Karsten Borgwardt
% Input: K - m x m kernel matrix
% lk - m x 1 array of class labels
% n - number of times we want to run svm
% Output: result - a structure with fields accuracy, mean, std and
% mean, std and se are... |
6f0e15e0ae67af48953a3868e80a1a152553ee57e28f6cc24862b484af71b4fa | MATLAB | 632 | 26 | function [meanYC, sdYC] = nk_ExtractClusterData(Y,C)
% function out = nk_ExtractClusterData(Y,C)
% I1: Data matrix with rows = samples, cols = voxels (dimensions)
% I2: Vector indicating cluster membership: length(C) == size(Y,2)!
%
% O1: Output matrix consisting of rows = samples, cols = mean signal of
% sample per cl... |
961567331176908cd9f4d2c1d5ac19742f4d7d441d3bfcfe7d5e0b70fc46f0eb | MATLAB | 632 | 15 | function head_plot(self,fitted_spatial)
if ~isa(self.model,'bt.model.template_spatial')
error('This plot can only be generated for models that inherit from template_spatial')
end
if nargin < 2
fitted_spatial = 0;
end
if fitted_spatial
bt_utils.head_imager(self.model.output_x,self.model.outp... |
be2b8509d1b947ac92143d9597810b0bd92e9081afa64f84d59e582c47bf0257 | MATLAB | 632 | 18 | function res = runmultiplesvm(Ks,lk,n)
% Copyright 2012 Nino Shervashidze, Karsten Borgwardt
% Input: Ks - cell array of h m x m kernel matrices
% lk - m x 1 array of class labels
% n - number of times we want to run svm
% Output: res is a 1 x n+1 array of structures. Each of the first n
% elemen... |
8a4e97cefa32177744ac079599037de4df7a7ea1ed57c15a8c6d33f54d985d74 | MATLAB | 633 | 26 | function OK = LoadTetrodeData(self, useFileDialog)
if useFileDialog
% find basename
[fn dn] = uigetfile(self.TText, ...
'Select the spike data file from the desired tetrode.');
if isequal(fn,0) % user hit cancel
return
end
else
% use "get" paradigm
MCS = MClust.GetSettings()... |
7945f1aa140ad1275b860ed61379afbf5bd396800c3c8b7bfa9e3bde6ddf1cfd | MATLAB | 634 | 16 | function [X] = normalize(X,samplesize)
% ----------------------- Input ------------------------------
% X: samples of all tasks (each row is a sample)
% samplesize: the i-th entry is the sample size of the i-th task
% ----------------------- Output -----------------------------
% X: normalized data matrix
tasknum = le... |
f8c6e991f7dc4dcac87552622f90ae5725139185bf44299570365fa4c443990c | MATLAB | 634 | 25 | % Clear workspace and command window
clear;
clc;
% Load the CSV file
filename = 'deep_learning_papers.csv'; % Replace with your actual file path if necessary
data = readtable(filename);
% Extract the categories column
categories = data.Category;
% Count the occurrences of each category
category_counts =... |
750f1bf9b7abe027cc5b992094eb3f66c784fed9b2baf23fc08044fbe5f48f35 | MATLAB | 635 | 14 | % Save important behavioral data from all extracted behavioral data for SST
% baseline year.
clear;
data = load('/oak/stanford/groups/menon/projects/percym/2020_ABCD_SST/data/ABCD_SST_n9556_AUg2021.mat');
for i = 1:length(data.ABCD_SST)
extract{i, 1} = data.ABCD_SST{i}.data.ID;
extract{i, 2} = data.ABCD_SST{i... |
68ebbea9fb5db5cf1158e156286282d5f09996e0b94b5644ea1735da39176977 | MATLAB | 637 | 28 | function selectedY = featSelectT(X1, X2, y, train) % y = labels
if train
g1_idx = find(y==-1);
g2_idx = find(y==1);
selectedY = X1;
for i = 1:size(X1,2)
g1 = X1(g1_idx,i);
g2 = X1(g2_idx,i);
[h,p] = ttest2(g1,g2);
if h == 0 |... |
c67356350ff8f055f6584d3fe40a77647fbde6c3b2839afaeedcfc7b1455e737 | MATLAB | 637 | 20 | function convert_derived_pp()
% This function takes in pp_master as generated by assemble_master_pp
% It then converts it into derived_pp for use by db_derived_fit
load pp_master
% Now go through spectra and assemble
for j = 1:size(pp,1) % for each spectrum
output(j) = get_spec_analysis(pp_f,pp(j,:));
end
%... |
dc704c87fa9fec6ea4080030bd7834548d7b61774070169e0a2e404043f8f693 | MATLAB | 637 | 16 | % =========================================================================
% FORMAT param = TPR(expected, predicted)
% =========================================================================
% Compute false posotive rate of classification:
% Positive Predictive Value = TP / (TP + FP);
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
73504abbb2e7f94d5342f4ea448d07ce4d97350007f73a84dddc36c97b13bdde | MATLAB | 638 | 19 | function do_binary_cross_validation(y, x, param, nr_fold)
len = length(y);
rand_ind = randperm(len);
dec_values = [];
labels = [];
for i = 1:nr_fold % Cross training : folding
test_ind = rand_ind([floor((i-1)*len/nr_fold)+1:floor(i*len/nr_fold)]');
train_ind = [1:len]';
train_ind(test_ind) = [];
model = svmtrai... |
30c9330d5c41e1ac494e9c2a6caf4a394f136b421ca9ebaa61c10783bafed239 | MATLAB | 641 | 24 | function ClusterFunc_ShowAutocorr(self)
% ClusterFunc_ShowAutocorr(self)
% ADR 2012
%
% Status: PROMOTED (Release version)
% See documentation for copyright (owned by original authors) and warranties (none!).
% This code released as part of MClust 3.0.
% Version control M4.0.
% Extensively modified by ADR to accomodat... |
cbff755f3cbb199484fcfb969776361ef92fa0ba87cce940b588d9e4303c8072 | MATLAB | 641 | 26 | function [oECOC, tECOC] = nk_OneVsOne(Dichotomizers, number_classes)
nc = size(Dichotomizers,2);
mx = number_classes*(number_classes-1)/2;
% This is the observed matrix
oECOC=zeros([number_classes nc]);
% This is the template matrix
tECOC=zeros([number_classes mx]);
counter=1;
% Create multi-group coding matrix (temp... |
ca3fd91fe6b9c11b07dd49e120e2bcb1b6f48d3829ffbf19fbf9b2dea2a94db0 | MATLAB | 642 | 22 | function [ res ] = getMCE( Y, P )
%RMSE Summary of this function goes here
% Detailed explanation goes here
predictions = P;
labels = Y;
ordered = sortrows([predictions,labels]);
N = size(ordered,1);
rest = mod(N,10);
for i = 1 : 10
if (i <= rest)
group = ordered((i-1) * ce... |
ce7d712353103f68f92e573c1dbbca0a761c01dd84a5f09008005e8759477dcc | MATLAB | 642 | 27 | function tsout = cat(varargin)
% tsout = cat(tsA, tsB, ...)
%
% concatenates the sequences of tsds
% checks to make sure sizes match
% raises an error if endtime(tsN) > starttime(tsN+1)
nTSD = length(varargin);
assert(nTSD>=2, 'Cannot concatenate < 2 tsds.');
assert(isa(varargin{1},'tsd'), 'Initial tsd not a tsd.');... |
0df3e81bd25fb3f9e85a5916b33fce89e6207f602b42b7428c998cfbe17c4f50 | MATLAB | 643 | 23 | function [SVM, CMDSTR, LIBSVMTRAIN, LIBSVMPREDICT] = nk_SetupGlobVarsForLIBSVM(param)
global MODEFL
SVM.prog = 'LIBSVM';
SVM.LIBSVM = param.LIBSVM;
SVM.kernel = param.kernel;
SVM.GridParam = param.evalfunc;
CMDSTR = nk_DefineCmdStr(SVM, MODEFL);
switch SVM.LIBSVM.LIBSVMver
case 0
LIBSVMTRAIN = 'svmtrain31... |
14fc7f2f554428aadeb3e3542857c826d0b8bbc94d8c6ec1254482a74f651050 | MATLAB | 646 | 25 | function [param,val]=modSelKM(trainSet,trainClass,option)
% model selection
% this function is not currently useful
if nargin<3
option=[];
end
optionDefault.range=[0:30];
optionDefault.epsilon=1e-4;
option=mergeOption(option,optionDefault);
numTr=size(trainSet,2);
numP=numel(optionDefault.range);
M=nan(numP,1);
fo... |
92cd9328feba0b469abd69dedfc81bc6f8fb570c016b77e5296e256346be600e | MATLAB | 646 | 24 | function [T,WV] = LoadTT_NeuralynxNT(a,b,c)
% MClust Loading engine wrapper
% [T,WV] = LoadSE_NeuralynxNT(a,b,c)
if nargin == 1
[T,WV] = LoadTT_NeuralynxNT0(a);
elseif nargin == 3
[T,WV] = LoadTT_NeuralynxNT0(a,b,c);
elseif nargin == 2
% New "get" construction"
if strcmp(a, 'get')
switch (b)
... |
b5aaec967e1781bfb2a35b936c67be2cb7d633e1b4819ad28341ffa07a480248 | MATLAB | 646 | 13 | function x_new = NextSolution2(x_curr, itt, n, featureID_order)
% Unlike NextSolution1, this routine NextSolution2 can pick which new voxel
% should or should not be included to the SA by considering the probability
% derived from MI-descending rank
moduloItt = mod(itt,n); if moduloItt == 0, moduloItt = n; end
x_new... |
bc6ca594cbf2bea47a269a5a0a07e0cf16a56f31f005e3f8795e691ff1b74c16 | MATLAB | 648 | 18 | classdef test_io < matlab.unittest.TestCase
methods (Test)
function test_read_write_mean(self)
% randomly generate mean data
width = 200;
height = 300;
channels = 3;
mean_data_write = 255 * rand(width, height, channels, 'single');
% write mean data to binary proto
mean_pr... |
4724e550363a7784760882acf94fbb49084a451c075ae428697fd2424766261a | MATLAB | 649 | 24 | function [T,WV] = LoadSE_NeuralynxNT(a,b,c)
% MClust Loading engine wrapper
% [T,WV] = LoadSE_NeuralynxNT(a,b,c)
if nargin == 1
[T,WV] = LoadSE_NeuralynxNT0(a);
elseif nargin == 3
[T,WV] = LoadSE_NeuralynxNT0(a,b,c);
elseif nargin == 2
% New "get" construction"
if strcmp(a, 'get')
switch (b)
... |
d6eebe1c43b701030ba489acc034d2f030829dc244c7ffc5c2bd9daa256e1ec0 | MATLAB | 649 | 25 | % authors: Ioannis Psorakis psorakis@gmail.com, Theodoros Damoulas theo@dcs.gla.ac.uk
% Copyright NCR, 2009
%
% Use of this code is subject to the Terms and Conditions of the Research License Agreement,
% agreed to when this code was downloaded, and a copy of which is available at
% http://www.dcs.gla.ac.... |
122e9ae0d3dab5227e450eca0bcea8646ab27ad029c7a554013ba8b2fa0c8aef | MATLAB | 650 | 55 | function P = Permutationmatrix5
P = zeros(1024,1024);
for a = 0:1
for b = 0:1
for c = 0:1
for d = 0:1
for e = 0:1
for f = 0:1
for g = 0:1
for h = 0:1
for i = 0:1
for j = 0:1
am = [0, a, b, c, d;
a, 0, e, f, g;
b, e, 0, h, i;
c, f, h, 0, j;
d, g, i, j, 0] ;
perm=perms([1 2 ... |
92335688956030fa17a4971c2bf16c78bc41d7603cba83c3666975ac8a7f6052 | MATLAB | 650 | 37 | function [xg,yg] = DrawPolygonOnAxes(self, returnConvexHull)
% [x,y] = DrawPolygonOnAxes(self, returnConvexHull)
%
% INPUTS
% returnConvexHull = t/f
%
% OUTPUTS
% x,y pair for use in "inpolygon"
%
% ADR 2012/12
% MClust 4.0
MCC = self.CC_figHandle;
if isempty(MCC)
warning('MClust:Cutter', 'No axes to... |
27dff22c1ea124576084a519af83e8086840138c1475f8062b589103dba8a6ff | MATLAB | 651 | 23 | function [AvailableTypes, AvailableNames] = FindAvailableClusterTypes(self)
% MClustSettings
%
% What Cluster Types are available?
%
% Returns structure array of names
ClusterTypeList = meta.package.fromName('MClust.ClusterTypes').ClassList;
AvailableTypes = {};
for iC = 1:length(ClusterTypeList)
if eval([Cluste... |
2bd25e84148c1b9cca2e0e50f2159fabb49f358a91511853d2ba246e58638875 | MATLAB | 651 | 26 | % Plot prediction vs data
function plot_pred_vs_data(predicted,data,time_stamps)
num_plots = size(data,2);
% Set min and max points for plot axis
D = [predicted,data];
plot_min = min(min(D));
plot_max = max(max(D));
figure
% Plot figure
for j = 1:num_plots
subplot(1,num_plots,j)
scatter(pre... |
cbb5f5651a073b641f18812830812b1df688b038b5cbe867f11902d5accd0d13 | MATLAB | 653 | 24 | % Objective function for NDM with Source (NDMwS)
%
% param(1) = beta
% param(2) = x0_value
% param(3) = alpha1 = linear growth/clearance term in x
function [f] = objfun_NDMwS(param,seed_location,pathology,time_stamps,C)
% Define Laplacian matrix L
rowdegree = (sum(C, 2)).';
L = diag(rowdegree) - C;
% Define... |
27f8379110d24be1114eea83300f05015d2d4b7a70489e08d91b8a2d4d3766a5 | MATLAB | 654 | 26 | function [cdata,state_names,short_mapping] = state_cdata
cdata = [
137 44 145; ... % EO, purple
0 255 145; ... % EC, light green
255 180 0; ... % REM, Orange
255 0 0; ... % N1, Bright red
0 154 255; ... % N2, light blue
12 23 178; ... % N3, dark blue
27 69 30; ... % N2S, dark green... |
3749221f0f63b4781d2199431c473b14e7b4a37f373025fac1a2961c4401ff5e | MATLAB | 654 | 17 | function [handles, oocvind] = get_oocvind(handles)
% Get index to OOCV data
oocvind = handles.selCVoocv.Value-1;
handles.oocvind = oocvind;
% Try to find OOCV data pointer in newly selected analysis.
if oocvind && (handles.curranal ~= handles.prevanal && handles.OOCVinfo.Analyses{handles.prevanal}.OOCVdone)
desc... |
eabba2614514380963fc14f642c3d28762de7727d78af00502e6cc5e32ad276e | MATLAB | 656 | 25 | function n = calcFD_dilate(vol,r)
% Implementation of the dilation algorithm.
% 20151025 CRM
if length(size(vol)) < 3 | length(r) < 1
% unable to calculate any box counting
fprintf('Failed to count!')
n = NaN;
return;
end
for rr = r
kernel = ones([rr rr rr]);
kernel = kernel/sum(kernel(:));
... |
8897fdb61289d356be54bb4425878e808be3b7483651918995e6d084b9362391 | MATLAB | 658 | 32 | function restX=removal(X,r,k)
%REMOVAL deletes rows(r) or columns(k) from X
% Type in zero if you do not want to delete any rows (or columns)
% r= rowvector of object numbers you want to remove
% k= rowvector of variable numbers you want to remove
%
%I/O: restX=removal(X,r,k)
%
%Created by S.Verboven (1999)
%Last edi... |
4c979300a0037f7449c3a95d0aecd3e795de4ed531fd6c9cf8896734caec43e8 | MATLAB | 659 | 31 | function testClassPredicted=knnrule(Y,trainClass,k)
% knn rule for sparse coding based classification
% Y: matrix of size K times n, each column is a the sparse coding
% trainClass: n-length vector, the class labels
% k: the number of largest coefficients to make decision
% Yifeng Li
% Feb. 14, 2012
%numTr=numel(trai... |
6eca0923591ffb7db435c0d2ae05536d8c290700b14a436f5d83902c12b3a168 | MATLAB | 660 | 13 | %addpath('/users/jfortin/ComBatHarmonization/Matlab/scripts')
addpath('/users/fortinj2/ComBatHarmonization/Matlab/scripts')
data = csvread('data/testdata.csv',1);
batch = [1 1 1 1 1 2 2 2 2 2];
mod = [1 1 1 1 1 1 1 1 1 1 ;2 1 2 1 2 1 2 1 2 1]';
norm = combat(data,batch,mod);
dlmwrite('data/testdata_combat_matlab.csv',... |
32aaf05b365433cd4d2270f00acc5054fd5074a870e56df7b1c2a6cdf5829355 | MATLAB | 661 | 25 | % authors: Ioannis Psorakis psorakis@gmail.com, Theodoros Damoulas theo@dcs.gla.ac.uk
% Copyright NCR, 2009
%
% Use of this code is subject to the Terms and Conditions of the Research License Agreement,
% agreed to when this code was downloaded, and a copy of which is available at
% http://www.dcs.gla.ac.... |
06fdd234ae941362c3996aaa4a4fb4b60b125755b0623426cf87873627a1fa8b | MATLAB | 664 | 19 | function ClusterFunc_CutOnBestProjection(self)
% PreCut Clusters - ClusterFunc_CutOnBestProjection
%
% Adds ability to cut differences between this cluster and all others by
% merging and limiting
MCC = self.getAssociatedCutter();
FeatureNames = cellfun(@(x)x.name, MCC.Features, 'UniformOutput', false);
[Selection,... |
c231e7a047559c5c9de193b913c71e16d0ff206161daa06e22d407766b0578bb | MATLAB | 665 | 23 | function ClusterFunc_ShowAverageWaveform(self)
% ShowWaveformDensity(self)
% ADR 2003
%
% Status: PROMOTED (Release version)
% See documentation for copyright (owned by original authors) and warranties (none!).
% This code released as part of MClust 3.0.
% Version control M4.0.
% Extensively modified by ADR to accomod... |
abc647944d288667890cc21dc95f798437b3b7f9063d48c208556700a7ceca65 | MATLAB | 668 | 26 | function [nch, npoints, freq, d] = ddt(filename)
% ddt(filename) Read data from a .ddt file
%
% [nch, npoints, freq, d] = ddt(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialog
%
% OUTPUT:
% nch - number of channels
% npoints - number of data points for each channel
% freq - A/D freque... |
5ac7e02ba8197641f70b902217ab3c09cea22eac00c6ebe0fb745de9fe81c9a4 | MATLAB | 673 | 29 | function [n,filters] = plx_chan_filters(filename)
% plx_chan_filters(filename): read channel filter settings for each spike channel from a .plx or .pl2 file
%
% [n,filters] = plx_chan_filters(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialog
%
% OUTPUT:
% filter - array of filter values (... |
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