sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a917f0b38172e6438d48a6cf4821ec65cc553f0f6113c889f36fa5e87a56ce43 | MATLAB | 460 | 18 | function [singleresponse] = extSingleBOLDresponse(timeseries)
% This program is intended to calculate the single bold response
%
%
%
%
%
% by Hiroaki Hamada, Araya inc. 2019/Sep/22th
[nTime, nROI] = size(timeseries);
singleresponse = zeros(120,5,nROI);
BOLDStim = [81,201,321,441,561]
for nstim = 1:5,
temporalsignal... |
ce1e3258c9a3290ae00db04eec83b4cd6db35850680420394bb67a7bf8961759 | MATLAB | 460 | 16 | function B = Test_CPL_XPL_Image(A,GTruth,net)
cmap = GTruth.LabelDefinitions.LabelColor;
maxrow = 224;
maxcol = 224;
[C,max_row,max_col] = Partion(A,maxrow,maxcol);
Result_Image = cell(max_row,max_col);
B = cell(max_row,max_col);
for i =1:max_row
for j =1:max_col
Result_Image{i,j} = semanticseg(C... |
da9acbcda086e8f5329f2e2f6bc781878fc3c082c8cbfb85ae827e7a7afa4185 | MATLAB | 460 | 21 | function X = newfft_exact_for(st, x, om)
%function X = newfft_exact_for(st, x, om)
%|
%| exact forward NUFFT
nthread = 1; % todo
how = 'outer'; % todo
if ~isvar('om') || isempty(om)
om = st.om;
end
if isempty(om), fail 'om or st.om required', end
if exist('dtft_mex') == 3
X = jf_mex('dtft,forward', double(om'), d... |
0d61358484e39647dd204d35a12e29ec04522fe11ca8fda873ebb74b8114f05a | MATLAB | 461 | 11 | function resetFigTraces(hFigTraces, rawTraces, hCfg)
%RESETFIGTRACES
if hCfg.nSegmentsTraces > 1
tlim1 = ([0, size(rawTraces, 2)] + hFigTraces.figData.windowBounds(1) - 1) / hCfg.sampleRate;
tlim1 = round(tlim1*1000)/1000;
hFigTraces.axApply('default', @axis, [tlim1, 0, hCfg.nSites + 1]... |
f9df11dd4bdf895219d8a7de0832a8e645f0411d12ff393d01b973b09ef205d5 | MATLAB | 461 | 19 | function Time = bursts2time(Bursts, Pnts)
% converts a struct of bursts data into an array of 0s and 1s for 1 if
% theres a burst.
% t is in datapoints, and will be the same length as Time
if isfield(Bursts, 'ClusterStart')
Starts = [Bursts.ClusterStart];
Ends = [Bursts.ClusterEnd];
else
Starts = [Bursts.S... |
07233e29e7f717fb9b583dd7862f9dbcb0fb34bf6e556ea9fe9ebc95de75b999 | MATLAB | 462 | 15 | % load the module data for 120 reps on R = 5, earlyStop = 60
% if it is of the full length, we need to set earlyStop = 100 with
% moduleResultfull.mat
clear; close all;
epochEarlystop = 100;
for i = 1:120
i
folderName_R_5_rep_120_diff_data{i} = sprintf('r_5_rep_120_diff_data/%d',i);
dataFile_R_5_r... |
53fc49753cfbe177b5c068597cdfeaadba9313e8323e968f41abd14862698891 | MATLAB | 465 | 18 | function [odims_same odims] = fatrix2_same_odims(blocks)
%function [odims_same odims] = fatrix2_same_odims(blocks)
%|
%| check if odims if each block is same;
%| if so, return aggregate odims too as cell
MM = numel(blocks);
b1 = blocks{1};
odims = cell(MM, 1);
odims_same = true;
for mm=1:MM
bm = blocks{mm};
if ~ise... |
b3857bb13e6b44575affe0163e855e13879b375b4ec8692524d20e030afd4ef7 | MATLAB | 465 | 19 | function [ mrf_C ] = calc_mrf_C(Theta, nu)
% Calculate normalizing constant for MRF prior for specific edge (i, j)
mrf_C = 0;
K = size(Theta, 1);
% Generate matrix with all possible binary vectors as the rows
% From http://www.mathworks.com/matlabcentral/newsreader/view_thread/121631
D = (0:2^K-1)';
B = rem(floor(D *... |
cbeed806e32e13c6c194ea3cf02c8ef41e19164fb53d97a8c69e58dc283377cc | MATLAB | 465 | 18 | function [idims_same idims] = fatrix2_same_idims(blocks)
%function [idims_same idims] = fatrix2_same_idims(blocks)
%|
%| check if idims if each block is same;
%| if so, return aggregate idims too as cell
MM = numel(blocks);
b1 = blocks{1};
idims = cell(MM, 1);
idims_same = true;
for mm=1:MM
bm = blocks{mm};
if ~ise... |
0565e87a6c4ac8d00d916516d4ebf050caaa23860aeb2a33825a5c5a6f7fb517 | MATLAB | 466 | 15 | function Weighted_Counts = Weighted_Histogram(Values,Weights,Edges_Vector,Sum1_Mean2)
Weighted_Counts = zeros(1,length(Edges_Vector)-1);
for i=1:length(Edges_Vector)-1
F1 = find(Values >= Edges_Vector(i) & Values < Edges_Vector(i+1));
if(Sum1_Mean2 == 1)
Weighted_Counts(i) = nansum([Weights(F1)]);
elseif... |
bd7ad41eea78ee977d83e9f5ff4b2c719cb9cb868bd540e24a55da9516a0baff | MATLAB | 466 | 4 | function [ECG_mean, ECG_median, ECG_cov, ECG_mean_robust, ECG_median_robust, stacked_beats, beats_sqi] = TimeDomainECGFeatures(data, peaks, params)
% TimeDomainECGFeatures has been deprecated. Use ecg_features_time_domain instead.
warning('TimeDomainECGFeatures has been deprecated. Use ecg_features_time_domain instead.... |
d5096be46b82efac8d2f78eba3bed1c9b7e38d66c62271bde13fcad02648d7da | MATLAB | 466 | 16 | function [EuD_Matrix]=mnl_GroupEuclidean_Matrixv2(data1,data2)
%Atempt to speed up the calculation of Euclidean distances
%% New Method
sz1=size(data1,1);
sz2=size(data2,1);
Dist_Matrix=nan(sz1,sz2);
%Calculate the distances
for i=1:sz1
temp=data2-data1(i,:); %Sum
temp=temp.^2; %Square it to remove negatives
... |
f5d2c1c29176796ebcc79a4eacb99fb1bb2f66267155f8e347b193a90f626e2b | MATLAB | 467 | 17 | function auto_resp(app)
%auto_resp checks if respiration is already detected and runs if
%not
% Detailed explanation goes here
if isempty(app.resp_res)
[data,ts,~, ~] = current_signal(app, app.settings.channel_idx.resp);
data = lowpass(data,3,1/ts(1));
data(:,2) = (ts(1):ts(1):ts(2))';
app.res... |
064c065fa9d185aeadf8d0916e5330506f744bf8682197a5a416c0bc45e907d3 | MATLAB | 470 | 28 | function [nx] = normaliz(x)
% Normalize matrix rows dividing by its norm
%
% [nx] = normaliz(x)
%
% input:
% x (samples x variables) data to normalize
%
% output:
% nx (samples x variables) normalized data
%
% By Cleiton A. Nunes
% UFLA,MG,Brazil
[m,n]=size(x);
nx=x;
nm=zeros(m,1);
for i = 1:m
nm(i)=norm(nx(i,:));... |
acf4cb3ee533acd807a21043a72c849c359160bd19298f366963c8136a92dfec | MATLAB | 470 | 15 | function c_partition = genRobustCommunity(B, N)
% for consensus_comm_wei
% C is a pxn matrix of community assignments where p is the number of optimizations
% that have been performed. n is the number of nodes in the system. C gives the real partitions.
n = size(B,1);
p = N;
partitions = zeros(p,n);
for i = 1:N
pa... |
96cfb0824903e22049583ebfc6ca0fd8449723b549e12b46edb0045965c1f84d | MATLAB | 471 | 16 | function [thisMovie] = dfofMovie(thisMovie)
% converts movie to units of DFOF
% get the movie F0, do by row to reduce potential memory errors
inputMovieF0 = zeros([size(thisMovie,1) size(thisMovie,2)]);
for rowNo=1:size(thisMovie,1)
inputMovieF0(rowNo,:) = nanmean(squeeze(thisMovie(rowNo,:... |
f097987114e1d66c269fd2cd595779bba0fee9752cc54ad8726dab654f705a49 | MATLAB | 471 | 15 | function setFigPos(figPos)
% utility for manually setting the position of the current figure windows
figs = get(0,'Children');
keys = figPos.keys;
tags = {figs.Tag};
for f=1:length(keys)
idx = strcmp(tags,keys{f});
if any(idx)
figs(find(idx)).Units = 'normalized';
... |
f8d02e76f4ba1c7c2885e54afc4886cecb66ed867d00ffcf31771c68901adcb1 | MATLAB | 471 | 18 | [file, path] = uigetfile('cluster_info.tsv');
datafile = fullfile(path, file);
w = tdfread(datafile);
cd(path)
good_idx = find(w.KSLabel(:, 1) == 'g');
A = readNPY('templates.npy');
waveforms = zeros(length(good_idx), size(A , 2));
tamplate_ind = readNPY('templates_ind.npy');
%%
for i = 1:length(good_idx)
... |
49b29622c93b6ec91a88dd4952955521dee0b9b8b1a84e1dcbdcc2adea0ffd39 | MATLAB | 472 | 19 | function S1 = mergeStructs(S1, S2, fieldNames)
%MERGESTRUCTS Merge a pair of structs
if isempty(S1)
S1 = S2;
return;
elseif isempty(S2)
return;
end
if nargin < 3
fieldNames = fieldnames(S2);
else % fieldNames can be a cell or a char here
fieldNames = inte... |
e1a1c0096f3b111c5c39527c5d537d9f9ca0dbcd3f343a72bec4cf8c032af65e | MATLAB | 472 | 19 | function [x fs mode] = LoadSeizureEEGFull2(path, fname)
% load data
load([path fname]);
reg = regexp(fname, '_');
varname = [fname(reg(2)+1:reg(4)-1) '_' num2str(str2double(fname(end-7:end-4)))];
md = fname(reg(2)+1:reg(3)-1);
if(isequal(md, 'interictal'))
mode = 1;
elseif(isequal(md, 'preictal'))
mode = 2;
el... |
f135aea7afd470cec810b9a632d0245b67ae93266303ac38b3140a904929a6a4 | MATLAB | 472 | 14 | % HBF_LFM_B_LC_XYZ builds magnetic lead field matrix based on xyz-oriented
% unit-current dipoles
%
% LFMm=HBF_LFM_B_LC_XYZ(meshes,coils,TB,spos)
% meshes: BEM geometry, cell array of hbf structs
% coils: coil description, hbf struct
% TB: TB matrix built with the hbf BEM solver
% spos: source ... |
a83af35d9fafc24a8a621548aa358f9fd6e781a36c36195aaa0fe9ada57e3d49 | MATLAB | 473 | 17 | function samplesOut = fftLowpass(samplesIn, fCut, sampleRate)
%FFTLOWPASS Low-pass filter samplesIn
if isempty(fCut)
samplesOut = samplesIn;
return;
end
shape = size(samplesIn);
samplesX = fft(reshape(samplesIn, shape(1), []));
freqs_ = fftshift((1:size(samplesX, 1))/size(sampl... |
5ee125727ce311c35747c22a504ea5fa4da8df56891389308c6cc49d8b2fd49b | MATLAB | 474 | 16 | function thresVec = getIterThres(vel,indVec,winSize,Fs,nStd,flag)
thresVec = zeros(size(indVec));
if flag == 0
for n = 1:length(indVec)
ind = indVec(n)-(winSize*Fs);
if ind<1; ind = 1; end
thresVec(n) = nStd*std(vel(ind:indVec(n)));
end
else
for n = 1:length(indVec)
... |
6ea3e34da637116b1be63d886e1ad31190393d8e6d9e29d798c2a003ec0b5bc1 | MATLAB | 475 | 12 | % HBF_PHIINF_XYZ computes potential due to a xyz-oriented unit-current-dipole
% triplet in infinite homogeneous conductor that has unit conductivity
%
% phiinf=HBF_PHIINF_XYZ(fp,spos)
% fp = field points (where the field is computed), [N x 3]
% spos = source positions, [M x 3]
%
% phiinf = resulting ... |
a6b672fbd488d96a09e67165ddb379d5992bc750e56f45d7dccdb55982e658fb | MATLAB | 475 | 7 | function [HR, peaks, HRPeriodSD] = HRCalculation2(x, f, fs, trim, wlen, averaging_method)
% HRCalculation2 has been deprecated. Use hr_calculation instead. Check the options in hr_calculation
warning('HRCalculation2 has been deprecated. Use hr_calculation instead. Check the options in hr_calculation');
peak_det_method ... |
b628f65df334b2bbdba275b5113eae5c639bd418f12e335f05f1ca33ec6a8cda | MATLAB | 475 | 14 | %Shinjini Kundu (c) 2016
%Installation file for Transport-Based Morphometry
%Go to the GP file in the TBM folder and run these lines of code
codegen GPReduce -args {coder.typeof(1,[Inf Inf Inf],[1 1 1])} -o GPReduce
codegen GPExpand -args {coder.typeof(1,[Inf Inf Inf],[1 1 1]), zeros(1,3)} -o GPExpand
%Go to the DGr... |
46f65ad0a01f88bfb36a2e0773be4fa97ef0b2d42a96d2b1953d89053aa9287a | MATLAB | 476 | 23 | function C=ldapinv(X,y,weight)
%+++weight: =0 Bayesian approximation.
%+++ =1 Fisher DA, classes weighted.
%+++ The last element in C is the bias term.
%+++Hongdong Li,Nov. 23.
y=sign(y);
A=length(y);
B=length(find(y==1));
C=A-B;
r1=A/B;r2=A/C;R=[];
kp=find(y==1);
kn=find(y==-1);
XX=[[X(kp,:) o... |
347721f0c720c7b25501be64822fa811fa31f76a1002a1f70c5619f064134cec | MATLAB | 477 | 14 | function [ nexFile ] = nexCreateFileData( timestampFrequency )
% [nexFile] = nexCreateFileData(timestampFrequency) -- creates empty nex file data structure
%
% INPUT:
% timestampFrequency - timestamp frequency in Hertz
%
nexFile.version = 100;
nexFile.comment = '';
nexFile.freq = timestampFrequenc... |
64bf056fc59d0b683311546fe01dbe8ab91cfe5f24c7c0d8c48fb0531a323273 | MATLAB | 478 | 22 | % Sparse Convolution: x_sparse=R*d
% Input
% d: drive vector
% r: response vector
% Output
% x_sparse: drive vector
function x_sparse=sparse_convolution(d,r)
d=makerowvector(d)';
r=makerowvector(r)';
L=numel(r);
Np=numel(d);
% To avoid problems with the size of the response
if L>Np
r=r(1:Np);
... |
66e31ee8411b9f0e6384e9a2be59ffe400ffadca30488f04f52d35efd424e702 | MATLAB | 478 | 15 | % Functio to calculate time durations of (selected) raster conditions
% Input
% Onsets (frames)
% R_Condition (Cells x Frames) Cell of Nc Conditions
% fs: Sampling Frequency (Hz)
% Output
% Table of Durations
function RasterDurations=get_raster_durations(Onsets,R_Condition,fs)
% Setup
Nc=numel(R_Condition);
for... |
814831db56a63190ba65fdbab4c539d691f7f04487e9bfc78181b7f4966e2096 | MATLAB | 478 | 20 | function recluster(obj)
%RECLUSTER Recluster spikes
if isempty(obj.res)
obj.loadFiles();
end
if isfield(obj.res, 'hClust')
obj.isSort = 1;
obj.res.hClust.hCfg = obj.hCfg; % update hClust's config
obj.res.hClust.reassign();
obj.res.hClust.autoMerge();
obj.... |
48ab8a934a1815349b842246ea69d88d53ff46f5e174a1a9dedd9a25746cdce6 | MATLAB | 479 | 4 | function [h, A, S_mean, S_median, S_max, S_min, S_max_min_avg] = SpatioTemporalInnovationsFilterDesigner(template_records, varargin)
% SpatioTemporalInnovationsFilterDesigner has been deprecated. Use spatio_temp_innovs_flt_designer instead.
warning('SpatioTemporalInnovationsFilterDesigner has been deprecated. Use spati... |
4f7814f455d2b391bd8df26a5c0ff532278e6940600a5de49baa39438188ab20 | MATLAB | 479 | 14 | % HBF_SOLIDANGLES calculates solid angles spanned by triangles of a mesh in
% one point
%
% omega=HBF_SOLIDANGLES(mesh,fieldpoint)
% omega=HBF_SOLIDANGLES(elements,vertices,fieldpoint)
% mesh: hbf mesh struct
% elements: triangle description, [N(triangles) x 3]
% vertices: mesh vertices, [N(vertices... |
ff531b28a242632cfcbae771caa23d1b34b88f0402ec989984557acf6c9cda62 | MATLAB | 479 | 25 | classdef (Hidden) data_writer_handle < handle
%
% Class:
% adi.data_writer_handle
%
% See Also:
% ---------
% adi.createFile
% adi.file_handle
properties
pointer_value
end
methods
function obj = data_writer_handle(pointer_value)
... |
3b561b5acadaa2ace3f8c52de0c8c25ab82ded36ad5bb366e3b3d27bd05ee45b | MATLAB | 480 | 12 | % HBF_DB_Linear makes a DB matrix between a mesh and field points.
% The matrix is made for an arbitrary field component and linear basis.
%
% DB=HBF_DB_LINEAR(fieldpoints,fielddir,sourcemesh)
% fieldpoints: a set of points, where DB is computed, [N x 3]
% fielddir: field directions (unit length), [N x 3]
%... |
4ba973ceea82cb448dea76bb55d289d8c120b93e49116df4ed31387490b8c8f9 | MATLAB | 480 | 15 | function [y] = percentile(x,p)
% y = percentile(x,p)
% p is a number between 0 and 100 (the percentile value)
% x is the data vector (it will reshape any matrix into a single column)
%
% I know there is the function prctile.m which does this, but it seems
% stupid to check out a license for a toolbox just for this ... |
50d287d57d2da53ddb4bdfc1a0584629e65c5d304aca8da72594c644202a749c | MATLAB | 480 | 7 | function [HR, peaks, HRPeriodSD] = HRCalculation4(x, f, fs, trim, wlen, averaging_method)
% HRCalculation4 has been deprecated. Use hr_calculation instead. Check the options in hr_calculation
warning('HRCalculation4 has been deprecated. Use hr_calculation instead. Check the options in hr_calculation');
peak_det_method ... |
b53e88ecaa1d4669e7cd4ea1394b7d2e0450cdcb748c2a6680ee66a3e9326156 | MATLAB | 480 | 13 | function success = reassign(obj)
%REASSIGN Reassign clusters, e.g., after a change of parameters
success = 0;
if obj.nEdits > obj.editPos % not at tip of edit history, back out
warning('cannot branch from history; use revert() first');
return;
end
obj.sRes = jrclust.sort.assignClust... |
ee8bf99825296e587458d9336efab5a1f4c70e910a0cf8f436d53d6857758e9b | MATLAB | 481 | 15 | function updateFigTime(obj, doAutoscale)
%UPDATEFIGTIME
if ~obj.hasFig('FigTime')
return;
end
hFigTime = obj.hFigs('FigTime');
jrclust.views.plotFigTime(hFigTime, obj.hClust, obj.hCfg, obj.selected, obj.maxAmp, obj.currentSite, obj.channel_idx);
hFigTime.setMouseable(); % no special mou... |
6554047655f538ba3e58dc1853826f655854314773b071f64ea94c320331a045 | MATLAB | 482 | 13 | function f = get_save_figure(f, folder, fname)
% Create new figure
if nargin == 0
%f = figure('WindowState', 'maximized', 'PaperUnits', 'normalized', 'PaperOrientation', 'landscape', ...
% 'PaperPositionMode', 'manual', 'PaperPosition', [0 0 1 1]);
f = figure('WindowState', 'maximized');
elseif nargin =... |
6a340205b178b01f43f0afc4c4f9213b783b201869531f1ec25f04afc1af938f | MATLAB | 482 | 22 | function x = newfft_exact_adj(st, X, om)
%function x = newfft_exact_adj(st, X, om)
%|
%| adjoint of exact NUFFT
nthread = 1; % todo
useloop = false; % todo
if ~isvar('om') || isempty(om)
om = st.om;
end
if isempty(om), fail 'om or st.om required', end
if exist('dtft_mex') == 3
x = jf_mex('dtft,adjoint', double(om... |
786c92a85f3e7ec9b1e9ac0497812c7f00ed7c1c7e8278de88a841fa2550c2e1 | MATLAB | 482 | 34 | function fo = sum_fid(fids,descr)
fo=fids;
for nbser = 1:length(fids)
fid = fids(nbser).fid;
ns = size(fid,2)/2
fid1 = fid(:,1:ns);
fid2 = fid(:,(ns+1):end);
fid1m = mean(fid1,2);
fid2m = mean(fid2,2);
% if ~exist('fm1')
% fm1 = fid1m;
% fm2 = fid2m;
% else
% fm1 = fm1 + fid1m;
% fm... |
8c470d9d11914fb7df4c7569114ec7ac5ec664a3e1eeaf958e667a451349a567 | MATLAB | 483 | 32 | function [a,b,xfit,yfit,fit_error] = fit_ax_b(x,y,doplot)
if ~exist('doplot') , doplot=0;end
%remove inf
var_x = repmat ( sum((x-mean(x)).^2)/size(y,2), size(y,1),1);
cv=sum( repmat(x-mean(x),size(y,1),1) .* (y-repmat(mean(y,2),1,size(y,2)) ),2 )/size(y,2);
a=cv./var_x;
b=mean(y,2)-a*mean(x);
if nargout>2
[xf... |
2e00da417dbd7cf047297156fdbe3e6868854b8368b753630b2968d88a285c4d | MATLAB | 484 | 15 | function clearMemory(obj)
%CLEARMEMORY Clear GPU memory and set random seeds
if obj.hCfg.useGPU
if obj.isDetect || obj.isSort
obj.hCfg.updateLog('gpuMemory', 'Clearing GPU memory', 1, 0);
gpuDevice(); % selects GPU device
gpuDevice([]); % clears GPU memory
... |
e9597234308c62f13eb6ab3c58800f0ae6079fff99d78030098316204f50026a | MATLAB | 484 | 24 | %% Setup
Import_FinderSpiker;
%% # Check False Negative:
% Rejected and unprocessed Data
[C,V]=size(SIGNALS);
Ndata=0;
Nvidok=0;
for c=1:C
for v=1:V
if ~isempty(SIGNALS{c,v})
Ndata=Ndata+1;
if isempty(notSIGNALS{c,v})
Nvidok=Nvidok+1;
end
end
... |
c03b390e91f5077fc8c127870493931d89590f4081bdd307ffac8b31bce14ed5 | MATLAB | 485 | 32 | function fi=change_exam_number(fi)
cur_suj_name = fi(1).sujet_name;
ns=1;
exa = fi(1).examnumber;
exanum = str2num(exa(2));
fi(1).examnumber='N1';
for k=2:length(fi)
% exa = fi(k).examnumber;
% exanum = str2num(exa(2));
if strcmp(fi(k).sujet_name,cur_suj_name)
ns=ns+1;
else
ns = 1;
cur_... |
51ea9bdf583cae47d1748e8b833370a52bb0791c92f48026c2971d3b3d9d698b | MATLAB | 486 | 7 | function [HR, peaks, HRPeriodSD] = HRCalculation3(x, f, fs, trim, wlen, averaging_method)
% HRCalculation3 has been deprecated. Use hr_calculation instead. Check the options in hr_calculation
warning('HRCalculation3 has been deprecated. Use hr_calculation instead. Check the options in hr_calculation');
peak_det_method ... |
fd7ea1fdded511c1d6052f162be616ebbb7c56dcfdacb555a38709ddf3f27c7a | MATLAB | 487 | 5 | function [x_filtered1, x_filtered2] = ECGSmoothingPriors(x, DiffOrder, wlen, lambda, guardlen_l, guardlen_u, adapt, withwindow)
% ECGSmoothingPriors has been deprecated. Use ecg_den_seg_wise_smoother instead.
warning('ECGSmoothingPriors has been deprecated. Use ecg_den_seg_wise_smoother instead.');
% Note: The order of... |
7c643f2284dd8ec56bbcefbbc602436b974761d3b63a492e3f38b17bc3fa47c3 | MATLAB | 488 | 18 | function R = Calc_Radius_Of_Curvature(X,Y)
% This function calculates the radius of curvature of an X-Y vector of coordinates.
mx = mean(X);
my = mean(Y);
x = X - mx; % Translation to 0. mean(x) = 0;
y = Y - my; % Translation to 0. mean(y) = 0;
dx2 = mean(x.^2); % mean([X - mx].^2).
dy2 = mean(y.^2); % mea... |
22da7a40293b8d4d6576a231d57cae8477cd80b92503f4f44b3f5f3eb9bbdc17 | MATLAB | 489 | 21 | function [BOLDresponse] = extBOLDresponse(timeseries)
% This program is intended to extract bold response from timeseries
%
% input:
% timeseries:
%
% output:
% BOLDresponse:
%
% by Hiroaki taiyo Hamada, Araya Inc., 2019/Sep/22th
% nSub, nTIm, nROI
[nSub, nTime, nROI] = size(timeseries);
nTime2 = 120;
BOLDrespon... |
247ffa7ce22ee5c1c968ae90e8196c3c1262a805a654325a5fcbb5c712686b70 | MATLAB | 489 | 21 | function vals = subplotApply(obj, plotKey, spIndex, hFun, varargin)
%SUBPLOTAPPLY Apply a plotting function to a subplot
vals = [];
if ~obj.hasSubplot(plotKey) || numel(obj.hSubplots(plotKey)) < spIndex
return;
end
hAxes_ = obj.hSubplots(plotKey);
hAx = hAxes_(spIndex);
% apply hF... |
92ae25f035f7b7cad18979b45bda9f5a630a0ed5b10c41d1284b33165a38cc2f | MATLAB | 489 | 24 | function X = myTEOcircshift(Y,k)
%circshift without the boundary behaviour...
colshift = k(1);
rowshift = k(2);
temp = circshift(Y,k);
if colshift < 0
temp(end+colshift+1:end,:) = flipud(Y(end+colshift+1:end,:));
elseif colshift > 0
temp(1:1+colshift-1,:) = flipud(Y(1:1+colshift-1,:));
else
end
if row... |
58cf8a1468243977e0ab056729099e20751912f8021ca55dbac1a1e0c58ce30d | MATLAB | 491 | 22 | function GMLQA = spmup_glmQA(SPM,options)
% compute QA metrics related to glm
%
% FORMAT: GMLQA = spmup(SPM,options)
% options are 'write_R2' to write the R2 value per voxel as an image
%
% INPUT: SPM is the SPM.mat
% note outputs vary depending wether the model was estimated or not
%
% OUPUTS: GLMQA.... |
43938a7e97e99e33f2043f3f8008e37309a324db126ebb8677f2d11c18fb0e5f | MATLAB | 492 | 25 | function [threshold,p]= RaguSingleThresholdTest(rd)
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
n_it = size(rd.PTanova,4);
%m = squeeze(min(rd.PTanova,[],3));
m = squeeze(mean(rd.PTanova,3));
ms = sort(m,3,'ascend');
idx = floor(n_it * rd.Threshold)... |
69214063efb01fd872f70528411d5305216ce3c7849b25635507050ce42339f0 | MATLAB | 492 | 34 | function fo = average_fid_mega(fids,descr)
fo=fids;
for nbser = 1:length(fids)
fid = fids(nbser).fid;
ns = size(fid,2)/2;
fid1 = fid(:,1:ns);
fid2 = fid(:,(ns+1):end);
fid1m = mean(fid1,2);
fid2m = mean(fid2,2);
% if ~exist('fm1')
% fm1 = fid1m;
% fm2 = fid2m;
% else
% fm1 = fm1 + fid1... |
995e427592b2084b6ee0ca6e007f1771d3518b15bb37b604bd61dfad9232d177 | MATLAB | 492 | 18 | %% tryptophan transporter rate from blood to cytosol.
% b = btyr
%UNITS IN uM and uM/h.
function a = VTRPin(b)
vmax = 700; % Vmax
km = 330; % Kilberg p. 169 (effective Km because of other AA)
a = vmax.*b./(km + b);
%Partridge75 says Km = 190 muM (with respect to total trp)
%Smith87 says Km = 15 muM (wit... |
1c7885862f3de659f225ef7bb8500fe8cedcabe16694f284c85325c246aea9a1 | MATLAB | 493 | 19 | function D=rad2deg(R)
%RAD2DEG Convert angles from radians to degrees
%
% deg = RAD2DEG(rad) converts angles from radians to degrees.
%
% See also DEG2RAD, RAD2DMS, ANGLEDIM, ANGL2STR
% Copyright 1996-2006 The MathWorks, Inc.
% Written by: E. Byrns, E. Brown
% $Revision: 1.9.4.2 $ $Date: 2006/05/24 03:36:15 $
i... |
4be99232b76cbdb1bbb72508ffd8d5be1911bea11b2db08679336867aa1c51ca | MATLAB | 493 | 19 | function ImP = Extend_Margins(Im,R)
% 1. Find the background peak:
h = histogram(Im(:));
v = h.Values; % Values;
e = (h.BinEdges(1:end-1) + h.BinEdges(2:end))/2; % Bins centers (locations. Mean of each consecutive edges pair).
[Peaks1,Locs1] = findpeaks(v,e,'SortStr','descend');
if(length(Peaks1))
[Rows,Co... |
66c21a921d68d8df9b25f79fa947a78d6dfa9e254d75dab62cc66e103d78276e | MATLAB | 493 | 20 | function filename = get_filename(session, channel, unit)
% Get neuron's filename
%
% Parameters
% ----------
% - session: scalar
% Session number with format: yymmdd
% - channel: scalar
% Channel number
% - unit: scalar
% Unit number
%
% Returns
% -------
% ... |
94818ec5f0cb8e9b92be87f3264799c234066e5cbeab7841436c4a536f71afc8 | MATLAB | 493 | 16 | % Conident predicted labels
% from binary inputs
function [Yconfident,ClassRatebin]=getrighclassbinary(Y,Yallbin)
Nobser=numel(Y);
labelconditions=unique(Y,'legacy');
Nsim=size(Yallbin{1},2);
% Get right classes:
for k=1:numel(labelconditions)
Ybin= false(Nobser,1); Yclassbin=Ybin;
Ybin(Y==labelconditions(k))=... |
da981bcb8fcbc6fe9aab690fbb137ada16d8b162294ab655e5221af3bc948dd9 | MATLAB | 493 | 16 | function [Power, Frequencies] = compute_power_fft(Data, fs)
% runs fft on signal. Data is a 1 x t array.
% Parameters
nPoints = numel(Data); % Total number of samples
% Compute the FFT of the signal
fftSignal = fft(Data);
% Compute the power spectrum
Power = abs(fftSignal/nPoints).^2;
Frequencies = fs * (0:(nPoints... |
de88d90e9bd28bd01a876f09a7ca851676222c53a93b545fb64e3c5b6dce6318 | MATLAB | 493 | 8 | function [score1, score2, peaks1, peaks2, rank1, rank2] = ChannelIndex12(x,f,fs, varargin)
% ChannelIndex12 has been deprecated. Use sqi_multi_matched_filter instead.
warning('ChannelIndex12 has been deprecated. Use sqi_multi_matched_filter instead.');
num_peak_det_itr = 1;
template_type = 0;
template_params = [];... |
f86794e1586d95c19a5e71ad8e868c4379cdf826de74513e27fc0a89e82be028 | MATLAB | 493 | 8 | map=readtable('D:\Canada_2020\UK_biobank\reports\AD\genetics\EURnoWB\METAL\chroms_viz\cytoBand.txt');
pos=readtable('D:\Canada_2020\UK_biobank\reports\AD\genetics\reports\summary_stats_ALL_cut.xlsx');
for i=1:length(pos.pos)
ix= (map.Var2<pos.pos(i)) & (map.Var3>pos.pos(i) & map.Var6==pos.chr(i));
towrite(i,1)=... |
ff1e10bce4e2c3bb34e50ca0628f7ca48acd369bc5f0b1eef57abca4fc327125 | MATLAB | 493 | 18 | %% results of the 10-fold cross validation
addpath 'Analysis codes'
load demographic; load paper_indices; load Originals/original_volumes.mat;
%age and gender only
Z = [ages(inds==1) (genders(inds==1) vol(inds==1)];
L = group(inds==1)';
cross_validation_script(Z(:,1:2),L); %age and gender only
cross... |
3ec22fd1eaadf699b4e0c7dbbbe5a9fbeaa663c17fe5e2e272057981ea646f81 | MATLAB | 494 | 22 | function [ROIname] = ExtROIname(roipath)
% This program is intended to
%
% input:
% roipath:
%
% output:
%
% by Hiroaki Hamada, Araya Inc., 2019/08/29th
listing_roi = makeList(roipath, 'ID*.nii');
nROI = length(listing_roi);
% extract ROInames and ROIindex
for nroi = 1:nROI,
% extraction of ROI names
roiname = ... |
e7bee23ba3d6fcf0f43568781d7c57076418ba40913b376f2396c15f94eda3ff | MATLAB | 494 | 24 | function dspCMapColorbar(step,type)
cla
switch(type)
case 'br'
x = (-8:8) * step;
cm = zeros(16,3);
for i = 1:8
cm(i,:) = [((i-1) * 0.125) ((i-1) * 0.125) 1];
cm(i+8,:) = [1 1-i*0.125 1-i*0.125];
end
otherwise
error('Colormap not yet implem... |
bef1f43a9103be6e5fa046b007338f63140c32570f88645375e718bcebb002ad | MATLAB | 496 | 13 | function [EyesOpenTrialIndexes, EyetrackingQualityTable, TitleTag] = ...
only_eyes_open_trials(TrialsTable, CheckEyes, Paths, Task)
TitleTag = '';
if CheckEyes
TitleTag = [TitleTag, '_EO'];
EyesOpenTrialIndexes = TrialsTable.EyesClosed == 0;
EyetrackingQualityTable = readtable(fullfile(Paths.QualityChec... |
edd8c2007f49674d964a9314b377269e3611e78447a51cdfd0efd298da12a7ec | MATLAB | 496 | 20 | function rd = CollapseAcrossXAxis(rd, Border, Label)
V = zeros(size(rd.V,1),size(rd.V,2),size(rd.V,3),size(Border,1));
for i = 1:size(Border,1) % TK 7.2.2017
StartFrame = round((Border(i,1)-rd.TimeOnset) / rd.DeltaX) +1;
EndFrame = round((Border(i,2)-rd.TimeOnset) / rd.DeltaX) +1;
V(:,:,:,i) = me... |
146ac9f533d7180ea8b5c6bdd7436e1285608cf444d4869ee797e6ae4c81c081 | MATLAB | 497 | 21 | function [CBVresponse] = extCBVresponse_madino(timeseries)
% This program is intended to extract bold response from timeseries
%
% input:
% timeseries:
%
% output:
% BOLDresponse:
%
% by Hiroaki taiyo Hamada, Araya Inc., 2019/Sep/22th
% nSub, nTIm, nROI
[nSub, nTime, nROI] = size(timeseries);
nTime2 = 35;
CBVres... |
570fe46aa0f9788af9e8be471b61ef01c90242380c9c7073af6ffe2ee3584c44 | MATLAB | 497 | 24 | function out = gs(data,smthfact, interpfact)
%function out = gs(data,smthfact, interpfact)
% smooth 2D data with a gaussian
if nargin < 3
interpfact = 2;
end
if nargin < 2
smthfact = 0.5;
end
dimX = size(data,1);
dimY = size(data,2);
if smthfact
% data = filter2(fspecial('gaussian',9,smthfact),data);
... |
7e7ec5b8faf577ee39cab2e4df24b1ccd809125c78b79a3f1fea6be0918c497a | MATLAB | 497 | 20 | function Stats = plot_change_in_time(Data, XLabels, YLabels, YLims, Colors, StatParameters, PlotProps)
if ~isempty(StatParameters)
Stats = paired_ttest(Data, [], StatParameters);
else
Stats = [];
% TODO: plot stars for group comparison
end
if~isempty(YLims)
ylim(YLims)
if ~isempty(YLabels)
... |
25c5ea38f395ec65389c915d6c12f3c0b391f3286b7640a3ea3ab7b6c0bb0001 | MATLAB | 498 | 12 | cd 'C:\Users\Admin\Git\repo\ZS-DeconvNet\Python_MATLAB_Codes\data_augment_recorrupt_matlab';
addpath(genpath('./XxUtils'));
dxy = 92.6; % lateral sampling, in (nm)
dz = 92.6; % axial sampling, in (nm)
SizeXY = 27; % lateral pixel number of PSF
SizeZ = 13; % axial pixel number of PSF
lamd = 525; % emission wavelength, ... |
4308a7e299613a701cb02ac2c8bf91dadd69606242a4784e50d3e9721f6a2311 | MATLAB | 498 | 4 | function [ECG_mean, ECG_median, ECG_cov, ECG_mean_robust, ECG_median_robust, stacked_beats_all_channels, beats_sqi] = PhaseDomainECGFeatures(data, peaks, params)
% PhaseDomainECGFeatures has been deprecated. Use ecg_features_phase_domain instead.
warning('PhaseDomainECGFeatures has been deprecated. Use ecg_features_pha... |
06a04551fdce9775d225cdd19c78ba2920423404c4f5e76caf15404c440f55cb | MATLAB | 499 | 19 | function DataOut = load_datafile(Path, Participant, Session, Variable)
% loads a mat file containing the data of a single participant and single
% session
% get filename
Filenames = list_filenames(Path);
Filename = Filenames(contains(Filenames, Participant) & ...
contains(Filenames, Session));
if isempty(Filename... |
439fcc8b8223e75c1d88e6e360dafab8dfafeb02b7f5a338c516863ea4249db5 | MATLAB | 499 | 21 | function success = autoMerge(obj)
%AUTOMERGE Automatically merge clusters
success = 0;
if obj.nEdits > obj.editPos % not at tip of edit history, back out
warning('cannot branch from history; use revert() first');
return;
end
obj.orderClusters('clusterSites');
for iRepeat = 1:o... |
5db1d037a685b193aa71565bddc29fb315e4de6330dcc493eebf847231f44bb1 | MATLAB | 501 | 15 | function B = get_file_from_same_dir(A,B)
%for a given cell list of infile A : construct a file list from the same dir
% of A with regulare expression given by B
%if B is a cell list (already set by the user) just check the length is the same as A
if iscell(B)
if length(B)==length(A)
return
else
... |
737fc0d62d77bc70ae665c514e559541340f668c703eb88f95f1f87af3608228 | MATLAB | 501 | 15 | %% voltage to log/photons
trial_time = 120;
[file, path] = uigetfile('.xlsx',"MultiSelect","off");
datafile = fullfile(path, file); %save path
cd(path)
T = readtable(datafile);
load("interpulated_ramp_range.mat")
v = T.V; %voltage
l = T.QuantumCatch_logPhotonsCm_2S_1_; %log photons
int_index = 6001;
ramp = round(linspa... |
87cebe99e0e8116098500a1fd5cbac18773c02a0db4f6491f1f9774ffeed4372 | MATLAB | 502 | 12 | %//////////////////////////////////////////////////////////////////////////
function C = Cost_lambda(x, b, s, epsilon2, lambda)
% Cost_lambda has been deprecated and integrated into OptimalSmoothnessFactor.
% function C = Cost_lambda(x, b, s, epsilon2, lambda)
% n = min([length(x), length(b), length(s)]);
% x = x(1:n);... |
a0c3b659ded143ec7c0196f25dbb2aed1a932e51558705f7e547248336ec2c70 | MATLAB | 502 | 27 | function fo = change_file_extension(fi,ext)
%function fo = change_file_extension(fi,ext)
outputchar=0;
if ischar(fi)
fi=cellstr(fi);
outputchar=1;
end
for nb=1:length(fi)
ffin = cellstr(fi{nb});
for nbvol=1:length(ffin)
[pp ff ee] = fileparts(deblank(ffin{nbvol}));
if strcmp(ee,'.... |
5c5098695e90eb84ec3bed91b2d8de09b760ae8f0b204e29055f06862eed828a | MATLAB | 503 | 25 | function y = RaguClustSize(hits)
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
ntime = size(hits,1);
nruns = size(hits,2);
y = zeros(1,ntime);
for r = 1:nruns
cnt = 0;
for t = 1:ntime
if hits(t,r)
cnt = cnt +1;
else
... |
775a8de4feac2dd2568fe26bfec192a27a1a45df3011cd5412ab5d470919cad1 | MATLAB | 503 | 15 | function acc = getAcc(vel)
% Simple function for converting velocity signal (cm/s) into acceleration
%
% acc = getAcc(vel)
%
% INPUTS
% 'vel' - vector with velocity signal, usually from data.final.vel or
%
% OUTPUTS
% 'acc' - vector with acceleration signal
%
vel_sm = fliplr(movmean(fliplr(movmea... |
84fa8ea6df287482578e54d886912c29df36014648614e4ee46d2c47692f2542 | MATLAB | 504 | 20 | function TaskPoints = identify_task_timepoints(EEG, Triggers)
TimepointsCount = size(EEG.data, 2);
TaskPoints = zeros(1, TimepointsCount);
TriggerTypes = {EEG.event.type};
TriggerLatencies = [EEG.event.latency];
StartTask = round(TriggerLatencies(strcmp(TriggerTypes, Triggers.Start)));
if isempty(StartTask)
Star... |
6610f990d6818a8057520826c12df24b764ba7f9620f742486c593712fceccf2 | MATLAB | 505 | 10 | % Adding data, a single-channel ECG recording
f_hr = 1.2; % expected HR in Hz
fs = 1000; % Sampling frequency
num_rounds = 3; % number of times to iteratively run peak_det_local_search and tweak the peak locations
[~, peak_indexes] = peak_det_local_search(data, f_hr/fs, [], num_rounds); % peak_det_local_search is from... |
47a2ff6099a064b97a52752598d5a9e5f1024940f19740c3638f18ff2221fb5d | MATLAB | 506 | 22 | function package_root = getPackageRoot()
%
% package_root = sl.stack.getPackageRoot()
%
% Returns the path of the folder that contains the base package.
%
% Examples:
% Called from: 'C:\repos\matlab_git\my_repo\+package\my_function.m
% Returns: 'C:\repos\matlab_git\my_repo\'
%
temp_path = adi.sl.stack.getMyB... |
b0dcc18f3c804eb62828e19af9a41ee2d189d8a12d2fc4d966eff9272b78fcfd | MATLAB | 506 | 18 | function [X2stat, p] = chi2test_countTable(countTable)
row_totals = sum(countTable,2);
col_totals = sum(countTable,1);
% calc expected vals
for irow = 1:size(countTable,1)
for icol = 1:size(countTable,2)
exp_table(irow,icol) = (row_totals(irow)*col_totals(icol))/sum(row_totals);
end
end
tableSize = s... |
dcbe301a015cbfca80dc0b4b09671839ee20b9c5d278cf0d83c204807e332eac | MATLAB | 506 | 14 | function Struct = cat_structs(Struct1, Struct2)
% Performs "cat" on structures, but also works for empty structs.
%
% Part of Matcycle 2022, by Sophia Snipes.
if (isempty(Struct1) || numel(fieldnames(Struct1)) == 0) && (isempty(Struct2) || numel(fieldnames(Struct2)) == 0)
Struct = struct();
elseif isempty(Struct1)... |
65e328577745cbe81400e3eff78fc414b7beaa75cd3a58dc10f0bd1e5ed84182 | MATLAB | 507 | 17 | function [Mean_Pixel_Value,Values_Vector] = Get_Rect_Score(im,Rect1)
% Input: an image and a vector of coordinates of a rectangle in the form of NX2 [x y].
% Outputs:
% Mean_Pixel_Value is the mean pixels value inside the rectangle.
% Values_Vector is vector of the values of these pixels.
% Ion = InRect(im,R... |
a98d8b8112fa2b7831a8180f05f9dff300d32df57972a65b05641959c1f7f286 | MATLAB | 507 | 23 | function vals = rowColSelect(mat, rows, cols)
%ROWCOLSELECT Select elements of a matrix by their row and column indices
% e.g. rowColSelect(eye(3), 1:3, 1:3) returns [1; 1; 1]
if isempty(mat)
vals = [];
return;
end
if isempty(rows)
rows = 1:size(mat,1);
end
if ise... |
3441bcca74a0d5befa298fe0ed851adbdcbcd895c09529b7fe3fb63b03c4d761 | MATLAB | 508 | 18 | clear; close all;
for i = 3:10
i
folderName_R_Diff{i} = sprintf('trainRecord_anti_force/trainRecord_R_%d_anti_force',i);
generateProcessedModularData(folderName_R_Diff{i});
end
for i = 1:10
i
folderName_R_5_rep{i} = sprintf('trainRecord_R_5_anti_rep/rep%d',i);
generateProcessedModular... |
648fcdead2c89db42b44829cc258315a4b3b82aab495e1a0f525679be47bffe1 | MATLAB | 508 | 24 | %recursive band rejection filter 50 Hz
function [cMA,cAR]=rico(z,B,fc,T)
% input parameters
% z (0.01) minimum attenuation at the center frequency frequency band fc
% B (2) Bandwidth which corresponds to attenuation 0.707
% fc (50) Central frequency
% T Sampling interval
% output parameters
% cMA filter coeffic... |
716042df46dacf052e994acce152736960ebe3c83c0a3de589e4e41df5063162 | MATLAB | 508 | 13 | %% Example 3: Single-trial neural trajectories
% The dataset corresponds to Section 3.2 in the DataHigh JNE paper.
% The data includes two conditions with 15 trials each. The space
% was reduced from 61 neurons to 15 latent dimensions with
% Gaussian-process factor analysis (GPFA) (Yu et al., 2009).
%
% Detailed ... |
7a7123979743fb80c80846ebd8706b4a00f06ddafb0773fab2c97d90a5799374 | MATLAB | 508 | 32 | function [arg1,arg2,arg3] = peakfind(S)
% function [IP,np] = peakfind(S)
% --- or ---
% function [IP,AP,np] = peakfind(S)
%
% where AP = S(IP)
IP = find((diff(sign(diff(S))))<0)+1;
AP = S(IP);
[rs,cs] = size(S);
if rs == 1
if cs == 1
error('cannot find peaks of a single number');
else
[duh,np] = size(IP)... |
a23e41af12221e07d7d857c6ab4c9f9b5cf33ef8b19da47d3244fa8f9a8341d6 | MATLAB | 508 | 14 | function [spikesOut, sitesOut] = getSpikesInBounds(spikesIn, sitesIn, yPos, yLims)
%GETSPIKESINBOUNDS Select spikes by whether their y-positions fall within given limits
nSamplesMax = 1000;
inBounds = (yPos >= yLims(1)) & (yPos < yLims(2));
if ~any(inBounds)
spikesOut = spikesIn;
sitesO... |
8d347aeccd90c78438f3c24ea023ad6a4630661be5a80ce0eea9ca266a306b44 | MATLAB | 509 | 18 | function [old2new, new2old] = getOldParamMapping()
%GETOLDPARAMMAPPING Get the old-style parameter mapping
fid = fopen(fullfile(jrclust.utils.basedir, 'json', 'params.json'), 'r', 'n', 'UTF-8');
fstr = fread(fid, '*char')';
fclose(fid);
params = jsondecode(fstr);
old2new = params.old2new;
... |
0a736be87203c5162768f66553f3176eaed9361916cab8c45b246a80d479ca04 | MATLAB | 512 | 15 | cd('I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\effect size\f6\d')
clear
clc
x = importdata("saline vs cno.mat")
%%
stats = mes(x.response(find(contains(x.tags,'dreadds before')),:),x.response(find(contains(x.tags,'dreadds after')),:),'hedgesg', 'isDep',1)
flip(stats.hedgesg)
%%
x = importdata("... |
37dc02f87bec20dd277131eadb9a57d71a74aa6a305d09ebec381449b206b5e1 | MATLAB | 512 | 5 | function y = ECGSmoothnessPriorsDenoiserLTI(x, SmoothnessFactor, mode, FilterParam)
% ECGSmoothnessPriorsDenoiserLTI has been deprecated. Use ecg_den_lti_smoother instead. NOTE: ecg_den_lti_smoother accepts inputs in a different order.
warning('ECGSmoothnessPriorsDenoiserLTI has been deprecated. Use ecg_den_lti_smoothe... |
facd2e8f40583eef6596e0e6d517c55516e1ddf4551d89a7c1dc7ebfbae6f649 | MATLAB | 512 | 17 | function params = getDefaultParams(merge)
%GETDEFAULTPARAMS Get default JRCLUST params
% merge - bool,optional: merge common and advanced parameters if true
if nargin < 1
merge = 1;
end
fid = fopen(fullfile(jrclust.utils.basedir(), 'json', 'params.json'), 'r', 'n', 'UTF-8');
fstr = fr... |
027951801f7d6bf720886ddf20e567f4988eb1b52ce5b756a91a33bd61453908 | MATLAB | 513 | 21 | function [SampleN]=mnl_DetermineSampleSize(Zpercent,N,e)
% Function to calculate the sample size of a given population
% Inputs
% Zpercent - the desired confidence value (e.g. 95% -will correct for
% two-sided calculations
% N - the size of the population
% e - margin of error in percent
%% Pre-calculations
zP=(1-(Zpe... |
aaa8dd40acf7aa7cf2657bfeb812014ea253bc7ea7d346bed31bd2a1a9b2344c | MATLAB | 513 | 12 | function [index, rank] = ChannelIndex9(x, ff, fs, varargin)
% ChannelIndex9 has been deprecated. Use sqi_beat_shape_variability instead.
warning('ChannelIndex9 has been deprecated. Use sqi_beat_shape_variability instead.');
if nargin == 3
beat_width = round(0.25*fs);
else
beat_width = varargin{1};
end
n... |
58a9de5dca3804b4cbd44e6d0dec5c138e97e82cad88275efdc5b8dc72e18187 | MATLAB | 514 | 17 | function saveAllOpenFigs(FolderName, FigNameprefix, FileType, renderer)
%FolderName = pwd;
FigList = findobj(allchild(0), 'flat', 'Type', 'figure');
for iFig = 1:length(FigList)
FigHandle = FigList(iFig);
FigName = [FigNameprefix num2str(get(FigHandle, 'Number'))];
set(0, 'CurrentFigure', FigHandle);
... |
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