sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
20b642de371f7bc0af6e1ebb523e4049a7e0e391fcfad284745ae7f650ee333d | MATLAB | 411 | 25 | function save_figure(session, channel, unit, name)
% Save figure
%
% Parameters
% ----------
%
% - name: char vector
% Name of saved figure
info = get_info();
folder = fullfile(...
info.folders.results, ...
get_id(session, channel, unit));
if ~isfolder(folder)
mkdir(folder);
end
saveas(...
gcf... |
20be06091413ce372d978630a28323f40d3ec25b687b8f225a6c47127a0b9246 | MATLAB | 411 | 28 | function [ww] = find_ser_descr_watter_width(f,desc,exa)
found=0;
ind=[];
ww=0;
for k=1:length(f)
if findstr(desc,f(k).SerDescr)
if findstr(exa,f(k).examnumber)
found=found+1;
ind(found) = k;
end
end
end
for k=1:length(ind)
ww(k) = f(ind(k)).watter_widht;
end
if length(ww)>1;
... |
ae7e50e94f184e8ce46824e27902fca4271e9d624ae3a50c0dac0f4b65433e9c | MATLAB | 413 | 12 | function interp1_table1_import
libname = 'interp1_table1.a';
type11r = ['double[K1] r_ck, double[K1] i_ck, int32 K1, ' ...
'double[J1*L1+1] r_h1, int32 J1, int32 L1, ' ...
'double[M] p_tm, int32 M, double[M] &r_fm, double[M] &i_fm'];
myimport(libname, 'interp1_table1_real_per', 'void', type11r);
function myimport... |
856d284ca297cbb768e338757ebccf0931ce1bf29b5c407af37c21e1f8c69a18 | MATLAB | 414 | 18 | function file_writer = editFile(file_path,varargin)
%x Open a file for editing
%
% file_writer = adi.editFile(file_path)
%
%
if ~exist(file_path,'file')
error('File to edit doesn''t exist:\n%s',file_path)
end
file_h = adi.sdk.openFile(file_path,'read_and_write',true);
data_writer_h = adi.sdk.createDat... |
341fe6bd380de3bc3686d66f9d05c86758a3d61fb1170036665d643a91e174e4 | MATLAB | 415 | 5 | function [dipole, teta] = DipoleGenerator3(HR, fs, alphai, bi, tetai, teta0)
% DipoleGenerator3 has been deprecated. Use vcg_gen_var_hr instead with additional input parameter method = 'LOOP'.
warning('DipoleGenerator3 has been deprecated. Use vcg_gen_var_hr instead with additional input parameter method = ''LOOP''')... |
378f5edf5eb1d218c03be6b49ed107d9c74b1c4e48ee89421e296c6324cc77c7 | MATLAB | 415 | 14 | function Tags_Struct = TIF_Init(Image_Size)
Tile_Size = 64;
Tags_Struct.ImageWidth = Image_Size(1);
Tags_Struct.ImageLength = Image_Size(2);
Tags_Struct.Photometric = Tiff.Photometric.MinIsBlack;
Tags_Struct.BitsPerSample = 8;
Tags_Struct.SamplesPerPixel = 1;
Tags_Struct.TileLength = Tile_Size;
Tags_Struct.... |
391caf24e786013a678b4061747c4ed660266fbc72eee9b48dece4c94f9994dc | MATLAB | 415 | 28 | % test IIR filter in C++ and in Matlab
clear;
close all;
x = load('testinput.txt')';
y = load('testoutput.txt')';
hcoefs = fopen('filtercoefs.txt','r');
data = fscanf(hcoefs,'%g');
M = data(1);
b = data(2:M+1);
N = data(M+2);
a = data(M+3:M+2+N);
fclose(hcoefs);
s = filter(b,a,x);
figure;
hold o... |
5339af1df39a3c1973aeef9195dd75da049b795b246906b1687b464f4dee932d | MATLAB | 416 | 8 | function save_activitydata(FolderNamePD,New_Index,Raster_Condition,RASTER_WHOLE_Clean,XY_clean)
% Call Global Variables
global Experiment;
% Direcotry to Save: Up from this one (pwd)
FileDirSave=getDir2Save();
save([FileDirSave,FolderNamePD,Experiment,'.mat'],'New_Index','Raster_Condition',...
'RASTER_WHOLE_Clean'... |
dd20e618c8176ae7de2bfac0b58ba9a97a6f71dd706abaa6f5c83d1fa680779b | MATLAB | 416 | 10 | function [peaks, peak_indexes] = PeakDetection20(x, ff, th, varargin)
% PeakDetection20 has been deprecated. Use peak_det_amp_threshold instead.
warning('PeakDetection20 has been deprecated. Use peak_det_amp_threshold instead.');
if nargin > 3 && ~isempty(varargin{1})
flag = varargin{1};
else
flag = 2;
e... |
e7d392daa3842f46d9548b974afd727b88ce264de269453299b0b8aeb3ff7806 | MATLAB | 416 | 18 | function move2front(hax_or_h,h)
% function move2front([hax],h)
% move h to the front of hax
if nargin < 2 || isempty(hax_or_h)
h = hax_or_h;
hax = gca;
else
hax = hax_or_h;
end
axkids = get(hax,'Children');
ih = find(axkids==h);
if isempty(ih), error('handle(%f) not a child of hax(%f)', h, hax); end
remh_axkids... |
49334ddeabffb9d841c01d15cd76b3a880d2c44ad269af3772a7da64cf8f3b3c | MATLAB | 417 | 20 | function y = DNN_Index()
if isunix
cd ../..;
else
cd ..\..;
end
addpath(genpath(pwd));
Frame_Half_Size = 10; % 21X21.
[Training_Frames,Training_Classes] = Generate_Training_Set(Frame_Half_Size);
display(1);
[Testing_Frames,Testing_Classes] = Generate_Testing_Set(Frame_Half_Size);
display(2);
y = C... |
ac450d8ab2914e1ce3505957e4e86c6a0bd95a12804e2a7c0b01cab626ed8067 | MATLAB | 417 | 22 | function success = autoMerge(obj)
%AUTOMERGE
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:obj.hCfg.nPassesMerge % single-pass vs dual-pass correction
... |
c43b8d9badc06c90abb12dd1e8ff650f58790787604537aa2c61e90378ead97d | MATLAB | 417 | 10 | function interpulated_psth = bin_psth(psth, downsampling)
cut_end = floor(length(psth)/downsampling)*downsampling;
binned_psth = mean(reshape(psth(1:cut_end), downsampling, []));
y = 1:length(binned_psth);
xq = 1/downsampling:1/downsampling:length(binned_psth);
interpulated_psth = interpn(y, binned_psth, xq, 'li... |
173ec9582ab605786f861de55065e46e3ebeeed38ae506e6d969a492bfbc3c3e | MATLAB | 418 | 6 | function linearRegression
global SpikeArray SpikeArrayWon DrinkOnArray FirstWaterOn FirstWaterOff WaterOnArrayOriginal...
WaterOffArrayOriginal RpegTouchallWon LpegTouchallWon RpegTimeArray LpegTimeArray
tbl=table(SpikeArray,DrinkOnArray,RpegTouchallWon,LpegTouchallWon,RpegTimeArray,LpegTimeArray);
lm... |
60dd4163c0a887007f9cf1bd879a743759b5f33b950cf3ebf955914820582923 | MATLAB | 418 | 8 | function [centeredSpikes, whichCentered] = getCenteredSpikes(obj, iCluster)
%GETCENTEREDSPIKES Return subset of spikes which occur on center site of cluster
iClusterSite = obj.clusterSites(iCluster);
centeredSpikes = obj.spikesByCluster{iCluster};
clusterSites_ = obj.spikeSites(centeredSpikes);
whic... |
b9ad82964c63bacec2eb2cabb2952ed861f6f60d301920421cc171a09c05a33c | MATLAB | 418 | 15 | % update the object with the type of distribution to fit
% ------------------------------------------
% This file is part of the adaptative_threshold SPM plug-in
% Copyright (C) Cyril Pernet and Chris Gorgolewski 2012
classdef Distribution < handle
properties(Constant,Abstract)
free_parameters
end
... |
ea425dfaa8c1283d0c49d18a850b580e5173bb836a58ab1607e5d89851ee1ba3 | MATLAB | 418 | 14 | function xRange = getXRange(iCluster, nSamples, hCfg)
%GETXRANGE Get the x-values of iCluster waveforms for main view
if hCfg.showRaw
evtWindowSamp = hCfg.evtWindowRawSamp;
else
evtWindowSamp = hCfg.evtWindowSamp;
end
xOffset = iCluster - 1 + evtWindowSamp(2)/nSamples;
xRange =... |
073da9ec6a579cc0313aad8e12bf0e8a475368fea970c214c463a09d19334ba4 | MATLAB | 419 | 18 | function move2front(hax_or_h,h)
% function move2front([hax],h)
% move h to the front of hax
if nargin < 2 || isempty(hax_or_h)
h = hax_or_h;
hax = gca;
else
hax = hax_or_h;
end
axkids = get(hax,'Children');
ih = dsearchn(axkids,h);
if isempty(ih), error('handle(%f) not a child of hax(%f)', h, hax); end
remh_axk... |
87d65d4beb2b6283c2d74b91a6554007899f1fc616da0b8565e0cc07a31a1ed8 | MATLAB | 419 | 11 | function [Xmax,Ymax] = quadpeaks(X2,Magspec)
% function [Xmax,Ymax] = quadpeaks(X2,Magspec) uses quadratic interpolation
% to create refined estimates (Xmax,Ymax) of original peak estimates X2 in
% spectrum Magspec.
X1 = X2 - 1; X3 = X2 + 1;
Y1 = Magspec(X1); Y2 = Magspec(X2); Y3 = Magspec(X3);
A = 0.5*(Y3 - 2*Y2 + Y1... |
b95240c05dc73de2298968c4ef6b439b87fc16efcbae661c5f22b53fe545dbbb | MATLAB | 419 | 11 | function pathnameMSHS = getMSHSpath(pathnameHeadModel)
if isunix
tmp = strfind(pathnameHeadModel,'/');
filename = pathnameHeadModel(tmp(end)+1:end);
pathnameMSHS = fullfile(pathnameHeadModel,[filename '.mshs']);
elseif ispc %need to test this!
tmp = strfind(pathnameHeadModel,'\');
filename = pathna... |
d3f153ba8058fcab3d71ffcb4d254e60684d7013ac89758cf11849059bbc2698 | MATLAB | 419 | 12 | %% Script to Run Colocalization function ----------------------------------
% run afte selection:
% Decalare New Variables
Experiment=Experiment(Experiment~='\'); % NAMES PATCH
global XY_merged;
% global dyename;
% global ColocateIndx;
global MetaDataColocaliation;
[XY_merged,MetaDataColocaliation]=get_merged_coord... |
f87b136b02946f046127e973d72171e185d7508a0203eaa23b2f83955764e1e1 | MATLAB | 420 | 21 | function outputArray = permuteArrayMaintainMarginals(A,N)
% A is input array
% N is number of rearrangements to perform
[n, m] = size(A);
%N = 10000;
for k = 1:N
r = randperm(n,2);
r1 = r(1);
r2 = r(2);
c = randperm(m,2);
c1 = c(1);
c2 = c(2);
d = randi([-min(A(r1,c1),A(r2,c2)),min(A(r1,c... |
fb078270502f3fb0807f34113e141bf01fc3cc8b3fea22440a29d4775c01cbd2 | MATLAB | 420 | 13 | function varargout = subsExt(filename, varargin)
%SUBSEXT Substitute the extension of a file for a new extension
% [out1, out2, ..] = subsExt(filename, ext1, ext2, ...)
[dirname, filename, ~] = fileparts(filename);
if isempty(dirname)
dirname = '.';
end
for i = 1:numel(varargin)
... |
a628c789f0d53b86b09df8a16a81f5defd9f783e90dc63e1917c9a56016cdb07 | MATLAB | 421 | 5 | function [dipole, teta] = DipoleGenerator4(HR, fs, alphai, bi, tetai, teta0)
% DipoleGenerator4 has been deprecated. Use vcg_gen_var_hr instead with additional input parameter method = 'MATRIX'.
warning('DipoleGenerator4 has been deprecated. Use vcg_gen_var_hr instead with additional input parameter method = ''MATRIX... |
c8c8ce54ccccf64e1ccf12e5f2a73a4e0685662b472dff39652ba5bdf5430173 | MATLAB | 421 | 18 | function [deg] = degrees_und(CIJ)
% input:
% CIJ = connection/adjacency matrix
% output:
% deg = degree for all vertices
%
% Computes the degree for a nondirected binary matrix. Weights are
% discarded.
%
% Olaf Sporns, Indiana University, 2002/2006/2008
% ========================================... |
09ae261f888014da9712ceddcea79aed93dd2fa8891f43c96b82a211be099cbe | MATLAB | 422 | 19 | function [totXrad_mean totXrad_min totXrad_max] = ComputeLatency(radX)
for i=1:length(radX(1,:))
totXrad_mean(i)= mean(nonzeros(radX(:,i)));
if sum(radX(:,i))>0
totXrad_min(i)= min(nonzeros(radX(:,i)));
totXrad_max(i)= max(nonzeros(radX(:,i)));
else
totXrad_min(i)=0;
totXrad_max(i)=0;
end
end
totXrad_mean(is... |
b01766e8f7355832c152fca7599235c009817cee93d483362f8712a1dbf83c38 | MATLAB | 422 | 18 | function fVis = setVisible(obj, plotKey, fVis)
%SETVISIBLE Set visibility of plot by key
if isempty(plotKey) || nargin < 3
return;
end
if iscell(plotKey)
cellfun(@(pKey) obj.setVisible(pKey, fVis), plotKey);
return;
end
if ~obj.hasPlot(plotKey)
return;
end
... |
e2b988729437b7db8cdb07a7bce4d19aa6b99eaa1606e7a52b84c523ad5897f4 | MATLAB | 422 | 18 | [cols,alpha] = chooseColors;
%% FINAL PLOT FOR FIGURE
figure('Position',[100 100 300 300])
imagesc(mean(weight_corrs_null,3),[-.3 1])
set(gca,'XTick',[5 10 15 20])
set(gca,'XTickLabel',[-2 -1 0 1])
set(gca,'YTick',[5 10 15 20])
set(gca,'YTickLabel',[-2 -1 0 1])
xlabel('Time (s)')
ylabel('Time (s)')
if saveFig... |
ec6f7945cdbbd9bad7c6435a6818047b07d3979213e1014bdd6a7e410890bb7a | MATLAB | 422 | 28 | function A = edgelist2sparse(E)
% lone nodes look like this:
% 1 NaN
% 2 NaN
% throw-out lone nodes
E = E(~isnan(E(:,2)),:);
I = E(:,1);
J = E(:,2);
B = sparse(I,J,1);
padding = max(size(B)) - size(B);
if sum(padding) == 0
A = B;
else
if padding(1) == 0
padding(1) = max(size(B));
A = [B zeros(padding... |
cd729433ea75656b6930dd50a8f47e38573f7294500d2fd010465c47d6e14671 | MATLAB | 423 | 22 | % Funtion to label multiple data from seveeral experiments of accumulated
% cell groups by drug action
% data: raw data
% index: vector howmanypointsperexp
% Output
% x: data
% y: experimetn label: '1','2',etc
%
function [x,y]=getcluslabs(data,index)
Ndata=numel(data);
Nexp=numel(index);
y=cell(Ndata,1);
x=data;
a=1;... |
5c566cca83e5462bbb3a73a80466d48e40501f8a9e6088d08deb30a02caf71f7 | MATLAB | 425 | 14 | % runn all codes for the study
main_COPE_session1_TestandPlot
main_COPE_session34_TestandPlot
main_corr5HTprojAndCOPE
supp_consistencyBetweenSession1AndSession2
supp_contractBetweenSession3vs4
supp_contrastBetweenSession1vs2
supp_peaktimingANDBOLDconsistency
visualizeAllTimeSeriesSession1st
visualizeAllTimeSeriesSessi... |
919d7282376710a26384402f594c1a6b07937778d8eff73fb02c5296605225e6 | MATLAB | 425 | 7 | function subSpikes = getMidmostSpikes(spikes, spikeTimes, nClusterIntervals)
%GETMIDMOSTSPIKES Get the spikes closest to the center spike
middlemost = round(numel(spikeTimes)/2); % index of middlemost spike
nearestToCenter = jrclust.utils.rankorder(abs(spikes - middlemost), 'ascend');
nSpikesInterval = ... |
5959e9efaeb3697313014a6c2531a317b277ec1472b83e9e8ccabfbadef4a9d2 | MATLAB | 426 | 8 | function score = FSCost(XT, yT, Xt, yt)
svmStruct = svmtrain(XT, yT, 'kernel_function', 'rbf', 'rbf_sigma', 100, 'boxconstraint', 5);
% svmStruct = svmtrain(r_train, types(train_index_subset), 'kernel_function', 'mlp');%, 'rbf_sigma', rbf_sigma, 'boxconstraint', length(interictal_train_index_subset)/length(preictal_tr... |
c956f85bc80d469a68c07d1269737b8331804cc46a93b5e56b2e2d11e2ea4b0f | MATLAB | 426 | 11 | % HBF_DI_LC makes a LC double-layer matrix between two meshes
%
% D=HBF_D_LC(fieldmesh,sourcemesh,verbose)
% fieldmesh: mesh, where double-layer potential is evaluated, hbf struct
% sourcemesh: mesh, where the double layer is spanned, hbf struct
% verbose (optional, default 0): give 1 for intermediate outp... |
87c325c777e71513eb887dcb620d13ab893448622673030c1d43a8fd9310521c | MATLAB | 427 | 15 | function [CI_lower, CI_upper] = medianCI(vals, z)
vals = vals(~isnan(vals));
n = numel(vals);
% get lower and upper indexes based on z and number of elements
lowerCIidx = round(n/2 - (z*sqrt(n))/2);
upperCIidx = round(1+n/2 + (z*sqrt(n))/2);
% sort vals into ascending order.
ordered_vals = sort(vals);
% index into ... |
a8d6a2fd5b9fe102dca6a2f1f0fc5cc175ac6378ea4ccf6cc6c369212e8d61cd | MATLAB | 428 | 16 | function rsc = calc_PairwiseCorrs(spikes1, spikes2)
% Uses the method of Kohn and Smith, 2005, simple
% pearson's correlation between two neurons responses to repeats of the
% same stimulus. Sig. faster than corr(x,y).
% force spike counts to column vectors
spikes1 = spikes1(:); spikes2 = spikes2(:);
% calculate r_... |
b208c55cb6e4abad4d54f2213ed0a17fafe8ffc7ad8105fdbac82d1376b861b4 | MATLAB | 428 | 21 | %Function to evaluate multivariate normal liklihood
function llike = mvnloglike(X, mu, omega)
%% Input
%X nxp matrix of observations
%mu 1xp vector of means
%omega pxp precision (inverse covariance) matrix
%% Output
%llike scaler log likelihood
%% Begin Code
[n,p] = size(X);
like = zeros(n,1);
c = -p/2*log(2*pi)+.5*... |
e2d3c9f4f8c011c6213086356cb248716dc8bcf734ebeee882a7a854cdf14e07 | MATLAB | 428 | 15 | function fatrix2_check_dim1(x, dim)
%|function fatrix2_check_dim1(x, dim)
%|
%| check that array x has dimensions "dim"
%| account for the "trailing 1" of size() for 1d column vectors
if nargin < 2, help(mfilename), error(mfilename), end
siz = size(x);
if numel(siz) == numel(dim) + 1 && siz(end) == 1
siz = siz(1:e... |
631f4e37e7647390f40e07e50cd973ff5e31e15965d50f2d3e9305fa8356267e | MATLAB | 429 | 1 | 232363.0 11844.0 44277.0 7322.0 71470.0 8513.0 25053.0 37930.0 136245.0 24174.0 35224.0 107297.0 1718.0 6729.0 15662.0 36241.0 20039.0 63499.0 112352.0 119411.0 79229.0 97667.0 46381.0 120707.0 162703.0 24990.0 80576.0 129225.0 17844.0 52924.0 91001.0 102823.0 111317.0 3736.0 17426.0 33098.0 40403.0 64052.0 110737.0 55... |
23de3954ac1402c5b6310472a8cd2a8b80992872dd253f2df5b3b6cf2c2836b3 | MATLAB | 430 | 17 | function [myState myMap]=StateClear(myState, myMap)
N=length(myState.state_history);
myState.index=1; % current index
myState.state_history=zeros(N,1); myState.state_history(1,1)=1;
myState.action_history=zeros(N,1);
myState.reward_history=zeros(N,1);
myState.RPE_history=zeros(N,1);
myState.SPE_history=ze... |
4b3a7b845e2fe19189851224b88316746fe7473f33779de3415051bbc6586b4c | MATLAB | 430 | 9 | cd 'C:\Users\Admin\Git\repo\ZS-DeconvNet\Python_MATLAB_Codes\data_augment_recorrupt_matlab';
addpath(genpath('./XxUtils'));
data_folder = 'F:/ZS-DeconvNet datasets/2D data/Lysosome/train_data'; % set data_folder to the folder you keep your raw data
bg = 100; % background offset, used in re-corruption
DataAugmFor2D(dat... |
028b07f8c7c2de36301932ffa1312e33838c792372ce04c2c5e48a5db9209538 | MATLAB | 431 | 22 | function z = fatrix2_embed(mask, dim, x)
%function z = fatrix2_embed(mask, dim, x)
%|
%| version of embed that handles an empty mask
%|
%| in
%| x [N L]
%| dim [] size(mask) if mask is nonempty
%| mask [(dim)] possibly empty
%|
%| out
%| z [(dim) L]
%|
%| Copyright 2010-12-21, Jeff Fessler, University of Michigan
i... |
26b67b960b41a002ab0a6262cc4295cb1dbdecd95d3744f3ce0ef109ce9a88db | MATLAB | 431 | 23 | function chan=unit2ch(unitID,subject)
%outputs channel number from unit ID in character form and subject ID ie.
%'C' or 'PB'
neuron=unitID;
if subject=='C'
if (neuron(12))=='_'
chan=(neuron(11));
else
chan=(neuron(11:12));
end
elseif subject=='PB'
if (neuron(13))=='_'
... |
c080582b05edb29ffd667f49a39ea380e5d4c3b3ec0abd38bf4e73ffca363016 | MATLAB | 431 | 12 | function [peaks, peak_indexes] = PeakDetection5(x, ff, varargin)
% PeakDetection5 has been deprecated. Use peak_det_local_search instead.
warning('PeakDetection5 has been deprecated. Use peak_det_local_search instead.');
if nargin > 2 && ~isempty(varargin{1})
flag = varargin{1};
else
flag = abs(max(x)) > abs(m... |
63cae0a3082afcce2e746c59b1be9904014050c87be02a58cf4d40a8c13d48db | MATLAB | 432 | 14 | function loadingSimilarityVector = getLoadingSimilarity(loadingMatrix)
% based on Umakantha et al., 2021
% inputs:
% loadingMatrix is a matrix of size n x D where n is the number of neurons
% and D is the number of dimensions.
% outputs:
% a vector of size D where each element is the loading similarity of that
% dim... |
7a1da798318f01528721d3c4ddf0174e196187ec6bbea867d525e66d4e4c87ae | MATLAB | 433 | 16 | data =cell_data.intensities(1).intensty_data;
data = data(:);
interpulated_psth = bin_psth(data, 2);
f4 = figure;
set(f4,'position',[50 50 2000 250]);
plot(interpulated_psth)
hold on
for i = 1:40
plot([(-70 + 100*i) (-70 + 100*i)],[0 65],'--k');
end
for j = 1:20
patch([(30 + 200*(j-1)) (130+ 200*(j-1)) (13... |
d72bc601f55b26cbf5eed7820c8de23cde750970a4194d9c85b5ef08e4fdeecc | MATLAB | 433 | 16 | % Select_Raster Script for POSIVE CELLS
%
Update_Directory;
% Get Coordinates
XY_nomerged=XY_selected(MetaDataColocaliation.NegativeCells,:);
% Indexes of the Original Denoised Signals and Vectors
[CleanSignals,IndexSorted]=Retrieve_Selected_Signal(Onsets,R_Condition,ESTSIGNALS,XY_nomerged,XY);
Select_Raster_for_NN... |
0d00fc4ab76d10f7b0b9fa6f0ed48fdbf6755f6cb70b60a6b6294be1f96c79dc | MATLAB | 434 | 10 | function indices = findContinousLogical(logicalVector, nElements)
spanLocs = bwlabel(logicalVector); %identify contiguous logical true elements
spanLength = regionprops(spanLocs, 'area'); %length of each span of true elements
spanLength = [spanLength.Area];
goodSpans = find(spanLength>=nEl... |
7465b00b3c8f256b0aa95a23131640ab0dfc6209527feb6143f86b1bf07139f3 | MATLAB | 434 | 21 | function [ q ] = get_quadrant( cent )
%GET_QUADRANTS Summary of this function goes here
% Detailed explanation goes here
% 1: NW
% 2: SW
% 3: NE
% 4: SE
%% get quadrant
if cent(2) < 424 && cent(1) < 208
q = 1;
elseif cent(2) < 424 && cent(1) >= 208
q = 2;
elseif cent(2... |
7e79fb4ca28d1dde1b536c0309697032216a5bade368699b17a9d48adfa6dac9 | MATLAB | 434 | 21 | function h = create_figure(name)
% Create `full screen` figure
%
% Parameters
% ----------
% - name: string
% Name of figure
%
% Return
% - h: matlab.ui.Figure
% Handle of created figure
h = figure(...
'Name', name, ...
'Color', 'white', ...
'... |
f328188866c30110e747cacf2853a065c32f7761d659ec419d3be291293a4c8c | MATLAB | 434 | 26 | % Implementations of the nearest orthogonal matrix (the Orthogonal
% Procrustes problem)
% Refer to: https://en.wikipedia.org/wiki/Orthogonal_matrix
%
% Reza Sameni, Jan 2019
N = 5
M = randn(N)
% The SVD approach
[U,S,V] = svd(M);
Q = U*V'
% The SVD approach
[U,S,V] = svd(M);
R1 = U*V'
% The square root method
R2 ... |
f55d6cc6589f65c11552071e624f30dcb69f587a036e1e4d7f6d42e5bb76dbd9 | MATLAB | 434 | 22 | function [model, fullfilename] = load_avg_model(session, channel, unit)
% Load average neural model
%
% Parameters
% ----------
%
%
% Returns
% -------
% - model: struct (todo: need more details)
% Neural model
% - fullfilename: char vector
% Filename of saved model
info = get_info();
fullfilename = fullfile(...
... |
462df5838d29e0b9ed73610b33ba3cc4f33fa5b089e57b94bd5db8019ebc944c | MATLAB | 435 | 25 | function DIV = new_divergence(f,g,h)
%fourth-order accurate computation of divergence
%inputs: f g h deformation fields
%outputs: DIV divergence
if isempty(h)
[dfdx,~]=new_gradient(f,'fourth');
[~,dgdy]=new_gradient(g,'fourth');
DIV = dfdx + dgdy;
else
[dfdx,~,~]=new_gradient(f,'fourth');
... |
9e7322f39edad82fe97fc02c5d6b65db95e36eeda4829f221cce46125cb2ef96 | MATLAB | 435 | 4 | function [dipole, teta]= DipoleGeneratorStochastic(N, fs, f, f_deviations, alphai, delta_alphai, bi, delta_bi, tetai, delta_tetai, teta0)
% DipoleGeneratorStochastic has been deprecated. Use vcg_gen_stochastic instead.
warning('DipoleGeneratorStochastic has been deprecated. Use vcg_gen_stochastic instead.');
[dipole... |
e91b3eae774c21aab59c69f5056ca01a6d55c42d355eaf43da29993ee5c5e587 | MATLAB | 435 | 12 | %% Function of monoamine transporter in vesicles.
% Transport of histamine from cytosol to vesicles.
% b = cha
% c = vha
function a = VMATH(b,c)
k = 24;
V = 10552; %31500
a = (V.*(b./(k + b)) - 5.*c);
a(a<0) = 0; %Make sure a is not negative.
%merickel95 reports 24 micromolar and also 3 micromolar from pre... |
eef0cbc8675ef19375f63c8c103d8195e1c4f1135737331968422fda7e5d68dd | MATLAB | 435 | 17 | %% Rate of production of c5ht from 5htp.
%Follows conventional michaelis menten mechanism.
% b = 5htp
%UNITS in uM and uM/h.
function a = VAADC(b)
km = 160;
vmax = 400; %Vmax (vitamin B6 is a cofactor and will affect Vmax)
a = vmax.*b./(km + b);
%4.1.1.28 AADC
%Km = 160 muM for 5HTp Chico06 (wrong in BRENDA)
... |
094041bf0eaaf1737dc4658920689a240bc65641e20272a71710420de3856330 | MATLAB | 436 | 16 | function [psdPower, psdFreq] = getPSD(traces, sampleRate, nSkip)
%GETPSD Compute power spectral density of traces
if nSkip > 1
traces = traces(1:nSkip:end, :);
end
n = size(traces, 1);
n1 = round(n/2);
psdPower = fft(jrclust.utils.meanSubtract(single(traces)));
psdPower = jrclust.u... |
2040967464a128414d9869602b1df282ba73db22f1871f9072c91006f500c8d3 | MATLAB | 436 | 16 | function [Xout, Yout, Zout] = meshrep(q,X)
%meshrep - takes a single vector q and meshgrid vector as input, returns
%a grid of just q repeated at every point in space. Ensure X,Y,Z is 3D and
%has equal dimensions.
siz = size(X);
assert(length(siz) == 3,'Meshgrid dimensions != 3');
assert(siz(1) == siz(2));
assert(siz... |
8a52b8b57c1fab8d8069d96012c32d82d80c4e9b14ecdc57d9bc018da5aa13bb | MATLAB | 438 | 18 | function fo = remove_first_points_fillup(fi,numberofpoints)
if ~exist('numberofpoints')
numberofpoints=1;
end
fo = fi;
for nbs = 1:length(fi)
fo(nbs).fid = fi(nbs).fid(numberofpoints+1:end,:);
zz=zeros(numberofpoints,size(fo(nbs).fid,2));
fo(nbs).fid = [fo(nbs).fid; zz];
% fo(nbs).spectrum.np = fo(nbs).sp... |
2ab6e30c0535ed17f36b9df36e70bc7b18b1e67befdf170ed287c34e28e28c1a | MATLAB | 439 | 19 | function id = get_id(session, channel, unit)
% Get neuron's ID
%
% Parameters
% ----------
% - session: scalar
% Session number with format: yymmdd
% - channel: scalar
% Channel number
% - unit: scalar
% Unit number
%
% Returns
% -------
% - id: char vector
... |
6c1e8673129e7b20713779fe0b47e02ba7e5e30826ff8e58dc9674e7141ac8d6 | MATLAB | 439 | 26 | function X = load_dream_network(file)
% this function strips-off the "G" characters from the gene identifiers
disp( ['Loading ' file] )
tic
d = importdata(file,'\t');
confidence = d.data;
A = d.textdata; %% G1 G2
N = size(A,1);
%% strip off the first character (G), convert to double
B = char(A);
C = B';
D = C(2:en... |
ecd3027587f54a2b147da94be1cb112196b2c4bcf589bf52f78dda3cca2fd012 | MATLAB | 439 | 22 | %Function to evaluate multivariate normal liklihood
function llike = mvnloglike(X, mu, omega, s_assign)
%% Input
%X nxp matrix of observations
%mu 1xp vector of means
%omega pxp precision (inverse covariance) matrix
%% Output
%llike scaler log likelihood
%% Begin Code
[n,p] = size(X);
like = zeros(n,1);
for i = 1:n
... |
1325e679fd6082740fd9872d0400f60c13dc0047fb52a146ce0b26a344c2ccdd | MATLAB | 440 | 18 | function mm = uniq(mm, sc)
shift = prod(sc);
shiftmat = reshape(shift-1 : -1 : 0, [sc(2) sc(1)])' / shift;
mmsize = [size(mm, 1) size(mm, 2) size(mm, 3) size(mm, 4)];
coefs = mmsize ./ sc;
shiftmat = repmat(shiftmat, coefs);
mm = mm + shiftmat;
fi = ceil((sc+1)/2);
b = strel('rectangle', [sc(1) sc(2)]);
z = imdil... |
7ad9494f53653ee9af04c549cf44ed13f5e6ab7f5f9e5df6b0ca7826002e6784 | MATLAB | 440 | 13 | function out = full(ob, varargin)
% function out = full(ob, varargin)
%| full(ob) = ob(:,:)
%|
%| note: alternative is ob * eye(np) but this may yield the
%| wrong precision because eye() is double but ob may be single.
%|
%| optional argument(s) passed to fatrix2_subsref_colon()
%| to facilitate test_adjoint
%|
%| C... |
b925187ef0fb21d3f0b5a395fa7650fce152b5f0c89f26dd79e62144d799b3ab | MATLAB | 441 | 10 | %//////////////////////////////////////////////////////////////////////////
function C = Cost_gamma(x, b, s, sigma2, gamma)
% Cost_gamma has been deprecated and integrated with OptimalSmoothnessFactor.
% n = min([length(x), length(b), length(s)]);
% x = x(1:n);
% b = b(1:n);
% s = s(1:n);
% C = sum(((s.^2.*x + s.*b)./(... |
404b77f7ebf64dface9895f49ae06c6e952c3ec315fee39cebc503a19782e94a | MATLAB | 442 | 19 | function [val, success] = tryGpuArray(val, useGPU)
%TRYGPUARRAY Try to construct a gpuArray from val
if nargin == 2 && ~useGPU
return;
end
try
val = gpuArray(val);
success = 1;
catch
try % reset GPU memory and try again
gpuDevice(1);
val = gpu... |
8c94733bb92496b112012a01a5e53700bceab6ea4e93c4b9d2149b5a79470e4c | MATLAB | 442 | 21 | function [ ] = plotCommunities(A, S, linewidth)
% plot the communities, A is the adj-mat, S is the community labels
[~,idx] = sort(S);
%subplot(211)
imagesc(A(idx, idx));
hold on;
currIdx = 1;
for i = 1:max(S)
width = sum(S == i);
if width > 1
rectangle('Position',[currIdx, currIdx, width-1, width-1], ... |
a92508bd11bf774f62175f784f18ed57fc3480e399d1d22a65018b06579887f8 | MATLAB | 442 | 21 | % Plot detrended signals
function Plot_detrended(XD)
[Ns,Frames]=size(XD);
figure; hold on;
offsetplot=0;
for i=1:Ns
xd=XD(i,:);
if sum(xd)==0
xd(:)=0.5;
disp('Empty Signal ... ')
offsetplot=offsetplot+1;
else
C=max(xd)-min(xd);
xd=(xd-min(xd))/C;
... |
31ba9e5bfb6385a1939db88debb641637c7cc8f49741d271d2acc63f2ee81ddb | MATLAB | 444 | 15 | % generate random binary matrix
% p row q col
% plus and minus randomly selected from n entries
function [PlusInd, MinusInd] = RandPermIndMat(p,q,n)
a = zeros(p,q);
perturbIndBoth = randperm(numel(a), n);
PMInd = logical(randi(2,size(perturbIndBoth,1),size(perturbIndBoth,2))-1);
PlusInd = a; MinusInd = a;
PlusInd(pert... |
84f31974c0bd8195b833fc1f3765b6ac3ed311f30b2a1d3621c50eaed244cbf2 | MATLAB | 444 | 17 | N = 360;
R = linspace(0,1000,N)./1000; % (distance in km)
Az = linspace(0,360,N); % in degrees
%[~,~,windSpeed] = peaks(N); % radial wind speefor i = 1:8
binSize = 360/8;
windSpeed = zeros(360);
windSpeed(:,360-22:360) = test(1); windSpeed(:,1:22) = test(1);
for i=2:8
windSpeed(:,23:23+(i-1)*binSize) = test(i);
end
f... |
e58fbd132f96158bb190e3e9848368ac755ad522326fefd243373d014b769875 | MATLAB | 444 | 16 | function [Xout, Yout, Zout] = meshtrans(q,X,Y,Z)
%meshtrans - takes a single vector q and meshgrid vectors as input, returns
%input grid translated by q as output. Ensure X,Y,Z is 3D and has equal
%dimensions.
siz = size(X);
assert(length(siz) == 3,'Meshgrid dimensions != 3');
assert(siz(1) == siz(2));
assert(siz(2) ... |
42b5b84157cbe86684ff10f37560c954a9329f0bac0a9b477f050db536408eab | MATLAB | 445 | 13 | function formats = supported_wc_extensions()
% Return a cell of arrays with the formats supported. Automatically updated
formats ={};
raw_readers_folder = fileparts(mfilename('fullpath'));
files = dir(raw_readers_folder);
for i = 1: length(files)
fname = files(i).name;
fend = regexp(... |
7352cf6e2f8a2e364cd302d69143133d6a5ff62cd9d8f4f631ed8420872dceb9 | MATLAB | 445 | 16 | function [newVectors, meanValue] = remmean(vectors);
%REMMEAN - remove the mean from vectors
%
% [newVectors, meanValue] = remmean(vectors);
%
% Removes the mean of row vectors.
% Returns the new vectors and the mean.
%
% This function is needed by FASTICA and FASTICAG
% 24.8.1998
% Hugo Gävert
newVector... |
b2b3cebdd2c9d325db337642e5d0af0969dbc94ce0c90a831896a3629e7a9a17 | MATLAB | 446 | 15 | function fj = gg_Gnufft_forw(st,Fk)
% first deconvolve
Fmintau = pi/st.tau*st.E4.*Fk;
% then take iDFT to get fmintau
padval = (st.Mr-st.M)/2;
fmintau = fftn_fast(fftshift(pad(reshape(Fmintau,st.M,st.M),padval, ...
padval,padval,padval,0)))/st.Mr/st.Mr;
% now do fast gridding
fj = forw_... |
b9834f3dec6059c6b7b4f2859ee9ca5909c8df97930aabcb081abfc5102dc3a0 | MATLAB | 446 | 18 | function [A,LAGS,recs] = jstar(binaryVec,trace,maxLag)
binaryVec = [NaN(maxLag,1);binaryVec(:);NaN(maxLag,1)];
trace = [NaN(maxLag,1);trace(:);NaN(maxLag,1)];
points = find(binaryVec>0);
LAGS = -maxLag:maxLag;
recs = NaN(length(points), length(LAGS));
for i=1:length(poi... |
fd903b8d582b10db25059130ce2395c2c4e0e72fb044ee8233bb720b201126b6 | MATLAB | 446 | 18 | function [ movieMat ] = loadMovie( moviePath,varargin )
%loadMovie loading movie from h5 files
%optional argument: start and stop index as a vector
if isempty(varargin)
movieMat = h5read(moviePath,'/1');
else
start = varargin{1};
stop = varargin{2};
info = h5info(moviePath);
chunkSize = info.Datas... |
aee8706106341360bd69a2550a1e0dc6eea30196227db84c8f4d5b4a4cca05db | MATLAB | 447 | 14 | function [xVals, yVals] = getDiagXY(lim)
%GETDIAGXY Get x-y values for outlines of diagonal entries
% lim: [start, end] or [start, end, offset]
yVals_ = floor((lim(1)*2:lim(2)*2 + 1)/2);
xVals_ = [yVals_(2:end), lim(2)];
xVals = [xVals_(1:end - 1), fliplr(yVals_)];
yVals = [yVals_(1:end - 1),... |
e46ba0a8a86e90c50783ca27d5868f267282f8bf127239f22d4b83708fef1244 | MATLAB | 447 | 7 | function [HR, peaks, HRPeriodSD] = HRCalculation1(x, f, fs, trim, averaging_method)
% HRCalculation1 has been deprecated. Use hr_calculation instead. Check the options in hr_calculation
warning('HRCalculation1 has been deprecated. Use hr_calculation instead. Check the options in hr_calculation');
peak_det_method = 'LO... |
0f42af094893be84b273f99a7548294ee4a147541432a08a3c2563aa4c7d9c31 | MATLAB | 448 | 32 | function fo = average_series_fid(fids)
fo=fids(1);
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;
... |
62ee6a5313c4065050b2905f01b1a1ec5a96077b2e870b8e8ebae345c4c70f0d | MATLAB | 449 | 1 | 779354.0 16795.0 67766.0 25598.0 298184.0 22412.0 65177.0 122943.0 467115.0 93813.0 140845.0 409911.0 3888.0 16412.0 42595.0 88809.0 71548.0 234433.0 346469.0 371988.0 240627.0 297425.0 153089.0 369200.0 511585.0 36871.0 116470.0 216357.0 37836.0 121125.0 215091.0 333727.0 344195.0 8512.0 32867.0 45267.0 55538.0 322669... |
b66a2cc090f2357f70cd2a997f1c6f83b54b7e2a0d1aacc2bacac21835b01c32 | MATLAB | 449 | 22 | function traces(obj)
%TRACES Show traces
if isempty(obj.hCfg)
error('Please specify a config file');
end
if isempty(obj.res)
obj.loadFiles();
end
hTraces = jrclust.views.TracesController(obj.hCfg);
if numel(obj.args) > 1
recID = str2double(obj.args{2});
if i... |
964a12abc922d9ca92f39df6caa39034a2b55de4acd0026aa5a726b2b07d51a4 | MATLAB | 450 | 22 | function z = fatrix2_select(mask, dim, y)
%|function z = fatrix2_select(mask, dim, y)
%|
%| version of masker that handles an empty mask
%|
%| in
%| y [*dim L]
%| dim [] size(mask) if mask is nonempty
%| mask [(dim)] possibly empty
%|
%| out
%| z [N L] N = sum(mask(:))
%|
%| Copyright 2010-12-21, Jeff Fessler, Uni... |
b62f343cf2b64f9059f074dc22448d24797b08f4f496cf4b27325245a06d450f | MATLAB | 450 | 17 | function ShowmeyourCoordinates(XY,r,isSIGNAL)
%% Show Coordinates
% ALL
figure;
scatter(XY(:,1),XY(:,2),r.*r*pi,'LineWidth',1.5)
Ncells=numel(r);
Indexes=1:Ncells;
hold on
scatter(XY(isSIGNAL,1),XY(isSIGNAL,2),r(isSIGNAL).*r(isSIGNAL)*pi,...
repmat([0.2,0.3,0.5],numel(isSIGNAL),1),'filled','LineWidth',1.5)
for n=1:... |
495c728cb2e6371752e5e71e8a8383e09c2a2f0e56af634005a20a9de33b8c23 | MATLAB | 451 | 16 | function shuf = shuffleCellArray(cellArray,nPerms)
allCounts = vertcat(cellArray{:});
shuf(nPerms).array = [];
for iperm = 1:nPerms
shufCounts = allCounts(randperm(numel(allCounts)));
idx = 1;
for icond = 1:numel(cellArray)
nEle = numel(cellArray{icond});
shuf(iperm).array{icond} = shufCou... |
d3ab11d5a88e87101cb0b0aa030c257a90fc7d5950f4041417fbd0ba7f6345d2 | MATLAB | 451 | 23 | function knots = make_knots(values, delta)
% Make knots
%
% Parameters
% ----------
% - values: vector
% Value of data points
% - delta: scalar
% Distance between two data points
%
% Returns
% -------
% - knots: vector
% Knots
half_delta = fix(delta / 2);
... |
174e85a9cc862d444f1e61c654bcd9d36b34fccc6d5f38dac3bf88e39d5cf373 | MATLAB | 452 | 18 | function filename = get_filename(session, channel, unit)
% Get neuron's filename
%
% Parameters
% ----------
% - session: scalar
% Session number with format: yymmdd
% - channel: scalar
% Channel number
%
% Returns
% -------
% - filename: char vector
% Neuron's ... |
2fb073ec72adbe23dfc782a1e7f2e4cf46079e95340ebdad847727c68acbdfc7 | MATLAB | 453 | 18 | function [map,thr] = filtermap(map, X)
%% Filter X% of weakest connections from a map.
%
% [map,thr] = filtermap(map, X)
%
% Input:
% map: projections matrix (uni- or bilateral)
% X: X% (i.e. 0%-100%) of weakest connections will be filtered
%
% Output:
% map: filtered projections matrix
% thr: numerical t... |
3b80bbe07e940c8327f900dea82335ac0fe6b6b4b8e028da751c5c0e78912c61 | MATLAB | 453 | 20 | function setConfigFile(obj, configFile, reloadParams)
%SETCONFIGFILE Don't use this. Seriously.
if nargin < 2
return;
end
if nargin < 3
reloadParams = 1;
end
configFile_ = jrclust.utils.absPath(configFile);
if isempty(configFile_)
error('Could not find %s', ... |
f2715410d18f56e16b5f0c7aaecd42b3639b6a610f557245a4d21ca6fc95575f | MATLAB | 454 | 22 | function co=correct_result_ration(ci,field_change,field_ref,scale_fac)
if ~exist('scale_fac')
scale_fac=1;
end
if isempty(field_change)
field_change = find_metab_list(ci);
end
for npool = 1:length(ci)
cpool = ci(npool);
cref = getfield(cpool,field_ref);
for k=1:length(field_change)
cc = getfield(... |
aebce59e342b2f3e046d8cf5042e4751dbc1e824ac20f20bf540214d723a7441 | MATLAB | 455 | 22 | function [p,H,p2] = schreirer_hare(data,grp)
[R,tie] = tiedrank(data);
% compute the anova SS's on the ranks:
[p1,p2] = anovan(R,grp,'display','off','model','interaction');
nvar = size(p2,1)-2;
for l=1:nvar
df(l) = p2{l+1,3};
SS(l) = p2{l+1,2};
end
% total MS
MS = sum(SS)/sum(df);
% compute ratios
for l=1:nvar-1
H(l)... |
0ff1976fdfc643c783314075511bc3cf48a7d69e296c106194ae8440169f647b | MATLAB | 456 | 15 | function strstruct = struct2str(S)
%STRUCT2STR Convert a struct to a string
strstruct = '';
if ~isstruct(S)
return;
end
fieldNames = fieldnames(S);
for iField = 1:numel(fieldNames)
strstruct = sprintf('%s%s = %s;', strstruct, fieldNames{iField}, jrclust.utils.field2str(S.(fieldN... |
2bc6d48f06864153a7138ecf59ec6b64a1fe4b9f78737381b9d79539d1f2abb0 | MATLAB | 456 | 12 | % HBF_PHIINF_DIR computes potential due to a current dipole in infinite
% homogeneous conductor that has unit conductivity
%
% phiinf=HBF_PHIINF_DIR(fp,spos,sdir)
% fp = field points (where the field is computed), [N x 3]
% spos = source positions, [M x 3]
% spdir = dipole moments (or, if unit-norm, di... |
79d624e98b977acc4705b867e19913389d2bb0cf3063758119c539c56bac766e | MATLAB | 456 | 24 | function [map] = load_map(session, channel, unit, prb)
% Load map of bases for a given probe
%
% Parameters
% ----------
%
% - prb: scalar
% Probe index
%
% Returns
% -------
% - map: array(time, delay, iteration)
% Map of bases in time/delay grid
info = get_info();
fullfilename = fullfile(...
info.folders.ba... |
1ae46dd811faec820f38a3f6d08a2972d6301f60d634acf998cf1326391f1087 | MATLAB | 457 | 18 | function [ isConnectedorNot ] = isConnected( A )
% for a given adjacent matrix A, determine whether the graph is connected
% or not
A(A ~=0) = 1;
stack = [];
stack(1) = 1;
isVisited = zeros(size(A,1),1);
isVisited(1) = 1;
while ~isempty(stack)
curr = stack(end);
stack = stack(1:end-1);
addIdx = find(A(:,cur... |
2064888f69e41b8a130a3d00aef104ef1dc0ff35c2ff4258c9cd730ae4f32b9a | MATLAB | 458 | 15 | function [x fs sequence] = LoadSeizureEEG(path, subject, mode, number, ch, time)
load([path subject '_' mode '_segment_' num2str(number,'%.4d') '.mat']);
varname = [mode '_segment_' num2str(number,'%d')];
eval(['data = ' varname '; clear ' varname ';']);
x = data.data;
fs = data.sampling_frequency;
sequence = data.se... |
3c39cdea018307a5655e738c14ccfa45e42cac7459fd40bf7bb5c843f87c5d0e | MATLAB | 459 | 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(35,6,nROI);
BOLDStim = [20,50,80,110,140,170]
for nstim = 1:6,
temporalsigna... |
89fd8f7a6ff1eec20f74c02e9d0326d3a3ef6486a8da51743e8b29da4f417d70 | MATLAB | 459 | 21 | function [session, channel, unit] = get_id_parts(id)
% Get neuron's IDs
%
% Parameters
% ----------
% - id: char vector
% Neuron's ID
%
% Returns
% ----------
% - session: scalar
% Session number with format: yymmdd
% - channel: scalar
% Channel number
% - u... |
f106d5c47ddd8bac1a2683d290f9b0abd386b8c43255fbe6cebe1719b9b904fe | MATLAB | 459 | 4 | function [ecg, teta]= SingleChannelECGGeneratorStochastic(N, fs, f, f_deviations, alphai, delta_alphai, bi, delta_bi, tetai, delta_tetai, teta0)
% SingleChannelECGGeneratorStochastic has been deprecated. Use ecg_gen_stochastic instead.
warning('SingleChannelECGGeneratorStochastic has been deprecated. Use ecg_gen_stoc... |
3d4cf33b747f7d8ef4669f3bf19894895341deb1b3ee1ce93f30f1f6508dcc93 | MATLAB | 460 | 16 | function closeFigures(obj)
%CLOSEFIGURES Close all open figures
if obj.hasFig('FigWav') && obj.hFigs('FigWav').isReady
hFigWav = obj.hFigs('FigWav');
remove(obj.hFigs, 'FigWav'); % to prevent infinite recursion!
hFigWav.close(); % calls killFigWav
end
try
obj.figApply(@(... |
914da8bdab51b315d2770bd652b8304581d62e006faccf326dab75102ca8f12a | MATLAB | 460 | 20 | figure('Position',[100 100 1000 380])
for sub = 1:p.nSubjects
subplot(2,6,sub)
imagesc(mses(:,:,sub),[0 0.0003])
title(['Sub. ' num2str(sub)])
set(gca,'XTick',[])
set(gca,'YTick',[])
if sub == 1 || sub == 7
ylabel('Day')
set(gca,'YTick',[1 11])
end
if sub > 6
... |
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