sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b9a9f724ed7733c50170a1b5842505c0ca7ec8ceb33e019070eb735737a421ca | MATLAB | 309 | 8 | function setFontForThesis(hAx, hFig)
fontToUse = 'Helvetica';
set(hAx,'FontSize', 8)
set(findall(hFig,'type','text'),'FontSize',8)
arrayfun(@(x) set(get(x, 'Title'), 'FontSize', 10, 'FontWeight', 'normal'), hAx);
set(hAx,'FontName', fontToUse)
set(findall(hFig,'type','text'),'FontName', fontToUse)
end |
079fb0d1e41d937e63a51c469fc5204f4bcf141848c1e58164c8951211ed2238 | MATLAB | 312 | 11 | % SAMPLE TREES
%
% Files
% hsn_tree - load a sample HSN cell
% hss_tree - load a sample HSS cell
% sample2_tree - load a simple sample tree
% sample_tree - load a subtree of a sample HSN cell
%
% the TREES toolbox: edit, visualize and analyze neuronal trees
% Copyright (C) 2009 Hermann Cuntz
|
be798806036043b37a4a58ccdc0c46fadd237f9922bf34dcd8cfe4a71d3f5d2e | MATLAB | 317 | 11 | function live2pVisSocket
global websocket
% THIS IS WEBSOCKET TO LIVE2P
visCond = numel(find(diff(ExpStruct.nextsequenceTrigger)>0));
sendThisCaiman.EVENTTYPE = 'LOG';
sendThisCaiman.vis_id = visCond;
websocket.send(jsonencode(sendThisCaiman));
disp('trial data sent to caiman') |
ce5302efcec466034974a60568b9cdd1404e4db47e67c96bf57a944b4efef326 | MATLAB | 317 | 10 | function confMat = calcConfusionMatrix(predictLabels,GTLabels,labelsVec)
nExamples = length(predictLabels);
confMat = zeros(length(labelsVec));
for i=1:length(labelsVec)
for j=1:length(labelsVec)
confMat(i,j) = sum((predictLabels==labelsVec(i)) .* (GTLabels==labelsVec(j)));
end
end
|
db1006d00943606a7212df76dd4e4d7f2f827f839f298bc238d7ee9138f4c394 | MATLAB | 317 | 7 | function dimensionMap = getMapOfDimensions(MRSIStruct)
values = cell2mat(struct2cell(MRSIStruct.dims));
dimsFieldNames = fieldnames(MRSIStruct.dims);
zeroIndexs = values == 0;
nonZeroFieldName = dimsFieldNames(~zeroIndexs);
dimensionMap = containers.Map(values(~zeroIndexs), nonZeroFieldName);
end |
53de5ed6fbcba1b3110abe2d154716ac39632bba0894c4bc8968560e993e519d | MATLAB | 318 | 13 | clear
load('../data/2020_07_connectomes90_AllFC.mat')
lowVol = sum(volBOLDAll<5);
volBOLD = sum(volBOLDAll);
volBOLD(810) = [];
lowVol(810) = [];
writecell(sub','../data/full_subs.csv')
writecell(ses','../data/full_ses.csv')
writematrix(lowVol','../data/lowVol_subs.csv')
writematrix(volBOLD','../data/volBOLD.csv') |
c7ca03a93fbe3de9b33fb8151573b266c6b25978179b3fc5c5a79d7f9d3bd670 | MATLAB | 319 | 10 | %% readme
% Related to Viswanathan, Stein, Nieder, PLOS Biol, 2024
% PV 2024
% All code written and implemented in MATLAB R2021a
% folder contains one data file (.mat) per figure and matching code (.m)
% to load and produce all the figure panels
% dependencies:
% venn.m needs to be on the matlab path for Figure S2
|
adea9cf547ce24fc9cae1dd7cf09fb027b08142418664b2fe40dee75350a497b | MATLAB | 322 | 14 | function segParams = GetSegParams(sbxInfo)
paramsPath = sprintf('%s%s_seg_params.mat', sbxInfo.dir, sbxInfo.exptName );
if exist(paramsPath, 'file')
fprintf('\nLoading %s', paramsPath);
load(paramsPath, 'IP');
segParams = IP.Results;
else
error('%s does not exist', paramsPath);
end
end
... |
e3c224f922c32779092e351819acce68689a5b838fa0382a3d5532b991ca07d0 | MATLAB | 323 | 13 |
function newDT = tableFilter(DT,params)
for jj=1:width(DT)
paramName = DT.Properties.VariableNames{jj};
if isfield(params,paramName) %%|| isempty(params.(paramName))
rows = (DT.(paramName) == params.(paramName) );
DT = DT(rows,:);
end
newDT = DT;
end
... |
f263544375bc784b634194cbf99abec43a9a2bc0574d578a48727b12c922b41c | MATLAB | 323 | 10 | function dropError = LK_CalculateDropError(x1, x2, y1, y2)
%
% LK_CalculateDropError calculates the drop error given the response
% locations (x1, y1) and the correct locations (x2, y2).
%
% Use as: dropError = LK_CalculateDropError(x1, x2, y1, y2);
%
% Lukas Kunz, 2022
dropError = sqrt((x1 - x2) .^ 2 + (y1 - y2) .^ ... |
90d5ffe4b94b9edb569321b1dd883ce734eaf94dd011d1c0be73ec187b1d0ef5 | MATLAB | 325 | 16 | function response = getKeyLabel(response)
%
% response = getKeyLabel(response)
%
if(~isempty(response.keyCode))
keyLabel = KbName(response.keyCode);
if(iscell(keyLabel))
response.keyLabel = keyLabel{1}(1);
else
response.keyLabel = keyLabel(1);
end
else
response.keyLabel = '';
end
re... |
671acc7a6838b23a2815cfc856330356c15be792dfa34eedd9628a484901c7f6 | MATLAB | 330 | 17 | function colIndex = drawTrig(d, colIndex)
%
% drawTrig(display, [colIndex=1])
%
% Draws a square trigger to sync eCog recording with stimulus
%
if nargin < 2, colIndex = 1; end;
x = d.numPixels(1);
y = d.numPixels(2);
trigRect = round([.93*x .91*y x y]);
Screen('FillRect', d.windowPtr, 120 * colIndex, trigRect);
... |
6c283254fd142dc2a9e9c7896d3d477fc0f927c11266cb72be020ec81ed9a1e8 | MATLAB | 333 | 20 | function sff = sffTrajectorize(sff)
%SFFTRAJECTORIZE
%
% RS, 05/2022
disp([datestr(now,31) ' -- Trajectorizing started...'])
% streaks
sff = sff_xyzt2strk(sff);
sff.prm.flag.stk = 1;
% trajectories
sff = sff_strk2traj(sff);
sff.prm.flag.trj = 1;
disp([datestr(now,31) ' -- Processing completed.'])... |
3fffb0e30a1615852ff194d6c8f4b0c08c7ee51c314373dafcfda7c73652722f | MATLAB | 334 | 11 | function L = drawline_3Dplot(x0,thet,R,H)
VW = get(gca,'view');
[a1,a2,a3] = sph2cart((VW(1)-90)*pi/180,VW(2)/180*pi,1);
e0 = [a1,a2,a3];
e2 = camup;
e1 = cross(e0,-e2);
L = [zeros(1,3);R*(e1*cos(thet)+e2*sin(thet))]'+x0(:);
if(nargin==4)
L = L + e0'*H;
end
L = line(L(1,:),L(... |
c59119e71132e59c1ebf4c90fd67dd61676577c32a3bc336b8ae1af900ab503c | MATLAB | 334 | 13 | function DataMatrix = DivideByStd(DataMatrix)
%each row is a single variable
nVars = size(DataMatrix,1);
for k=1:nVars
curVals = DataMatrix(k,:);
curStd = std(curVals(~isnan(curVals)));
if (curStd>0)
DataMatrix(k,:) = DataMatrix(k,:)/curStd;
else
error('something went wrong');... |
cce7ffed71aaeb37771ddae56178372d2d5c19446a088ff7f9d074864705fe66 | MATLAB | 334 | 13 | function out = LK_IndicateThousands(in)
%
% LK_IndicateThousands adds thousands separators to a 1x1 array.
%
% Example: out = LK_IndicateThousands(1234567)
%
% Lukas Kunz, 2023.
% add commas to indicate thousands
import java.text.*
v = DecimalFormat;
out = char(v.format(in));
out = strrep(out, '.', ','); % convert do... |
49a2bf52bd32f94674994b0d62d1485dfcd35e1ba1f92fa8d33372ade5238a5e | MATLAB | 336 | 11 | function dimNumber = getMultipleDimensions(MRSIStruct, dimLabelCell)
arguments
MRSIStruct (1,1) struct
dimLabelCell (1,:) cell
end
dimNumber = zeros(1, length(dimLabelCell));
for iLabel = 1:length(dimLabelCell)
dimNumber(iLabel) = getDimension(MRSIStruct, dimLabelCell{iLabel... |
e412608d11fe5db5e60b320ba876f92554292cac494ae30a5090745296ceefb7 | MATLAB | 336 | 9 | function y = Gaussian1_1D(A, xdata)
% Gaussian function
% A: parameters of the Gaussian function
% A(1) = a1, A(2) = mu1, A(3) = sigma1, A(4) = b
% y = a1 * exp( -((x - mu1) ^ 2) / (2 * sigma1 ^ 2 ) ) + b
% xdata: a vector which contains x values
y = A(1) * exp( -((xdata - A(2)) .^ 2) / (2 * A(3) ... |
f1e7ca3a8d9cf8f8a461040728fa68e7a9ce0b45d67d87a45d575487e55a7acd | MATLAB | 336 | 17 | function F = root_nu( nu )
% MF equations for solving population firing rates
%
% Input: 2 unknowns
% nu(1) - E population rate
% nu(2) - I population rate
%
% Output: l.h.s. of 2 equations
% F(1) - MF eq 1
% F(2) - MF eq 2
global sp
sp.nu = abs(nu);
nuMF = mfa(sp);
F = n... |
7db4a5a5aa64ea8e024fdb2f6d7f6df37a21f84325c1a5938e8f62d35c977fc6 | MATLAB | 337 | 11 | function [] = LK_print(f, filename, formattype, resolution)
%
% LK_print prints a figure and is the analog to Matlab's print function. It
% sets the PaperPositionMode to auto.
%
% Use as: LK_print(f, filename, formattype, resolution);
%
% Lukas Kunz, 2021
set(f, 'PaperPositionMode', 'auto');
print(f, filename, formatt... |
b4cce4a0d64e5d8e5e26757607485e69373adfa90417cb8b21b905d506cb2188 | MATLAB | 339 | 14 |
function hrfaxes()
xticklabels([xticks./10]);
xlabel('Time (s)');
ylabel('amplitude (a.u)')
tch_set_axes;
xlim([0 200]);
ylim([-0.5 1.2])
xticks([0 50 100 150 200])
xticklabels([xticks./10]);
yticks([-0.5 0 0.5 1 ])
a... |
0c1a4cd727b6ae477981c9175824cdac775c0c6784d45723d2addf158e972c15 | MATLAB | 344 | 9 | expression_tumor_fileName = 'JDS_lung_expression_2_75_var_only_names.csv';
[tumor,~,name_tumor]=importdata(expression_tumor_fileName);
tumor_data=tumor.data;
for i=1:size(tumor_data,2)
C = csnet(tumor_data, i);
cand=full(C{1,i});
writematrix(cand, sprintf('H:\\1_PHD\\CSN-master\\CSN_lung_2_75_samp... |
36d53df9ad8e850d710399e542309eb64223293888956b8f5836da2b9a0b1aff | MATLAB | 348 | 15 | %% check_T_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
T_tree (tree);
end
end
%% test 2
T_tree (sample_tree, '-s')
tprint ('./panels/T_tree1', ...
'-jpg -H... |
4e6855dc1d6ca44a37385f7bb50d99d35d80f6596ddd91c8a1a23dc6e97a2b01 | MATLAB | 348 | 15 | %% check_C_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
C_tree (tree);
end
end
%% test 2
C_tree (sample_tree, '-s')
tprint ('./panels/C_tree1', ...
'-jpg -H... |
63b66fc147d0af6523785a9d978820cdd90ca4ff907f94697b8e07904ae9185b | MATLAB | 348 | 28 | % check construct folder
check_allBCTS_tree;%
check_BCT_tree;%
check_clean_tree;
% check_clone_tree;
check_cplotter;
check_cpoints;
check_gscale_tree;
check_in_c;
check_jitter_tree;
check_MST_tree;
check_quaddiameter_tree;
check_quadfit_tree;
check_rpoints_tree;
check_smoothbranch;
check_smooth_tree;
check_soma_tree;
... |
cf1faaf87bf001ca39d50842f63d02d62d825c5f9d78a5964e2c4c8c4f8274d1 | MATLAB | 348 | 15 | %% check_B_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
B_tree (tree);
end
end
%% test 2
B_tree (sample_tree, '-s')
tprint ('./panels/B_tree1', ...
'-jpg -H... |
7e1b6c791eda7daf759b6c18cfc1b4d1c6c0b91c743f371228aa32809f0272da | MATLAB | 352 | 15 | function dens = get_IntraInterHemDensity_fromAgreement(CC, hem)
dens = zeros(2);
for i=[1 2]
idx = logical(hem==i);
for j=[1 2]
jdx = logical(hem==j);
tmp_cc = CC(idx,jdx);
if i==j
tmp_cc = tmp_cc-eye(size(tmp_cc,1));
end
dens(i,j) = mean(tmp_cc(... |
0c3377027ecc1ba71ae373acbe9a1bed09cb3304d40ce18d3ed647d52d2920cf | MATLAB | 354 | 17 | function d = LK_dir(myPath)
%
% LK_dir functions as MATLAB's "dir" but removes '.' and '..' directories
% from the output.
%
% Use as: d = LK_dir(myPath);
%
% See also dir
%
% Lukas Kunz, 2021
% directory information
d = dir(myPath);
% remove '.' and '..' paths
bRemove = strcmp({d.name}, '.') | strcmp({d.name},... |
858ccd2103b3da05fb372d2034e45236b3ebc09061593192c28b1a442d207a27 | MATLAB | 354 | 25 | %%
clear all; close all; clc
base = 'D:\Mice';
cd(base)
folds = findSubF('pcaica',3,[],0);
%%
for ff = 1:length(folds)
cd(folds{ff})
try
copyfile([base '\dfofM_LocationConsistency.m'],'dfofM_LocationConsistency.m');
dfofM_LocationConsistency
catch err
disp(e... |
e5ca8b7bb5598662bb8a4cebb59e255ed61b7c7e3f60621094db4d1dd0353f31 | MATLAB | 354 | 12 | function plotNNSearch(x,numfeatures,NETS,t)
figure; imagesc(x');
ystr = {};
for i = 1:size(NETS,2)
ystr{i} = num2str(NETS{1,i});
end
set(gca,'XTick',1:size(x,1)); set(gca,'XTickLabels',numfeatures);
set(gca,'YTick',1:size(x,2)); set(gca,'YTickLabels',ystr);
title(t); ylabel('networ... |
9b6b177d465da6dd65319b3998d01a6987a6ff35d982ff8ad2c03a8fbc945634 | MATLAB | 355 | 18 | %% check_LO_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
LO_tree (tree);
end
end
%% test 2
LO_tree (sample_tree, '-s');
tprint ('./panels/LO_tree1', ...
'-jpg... |
f85bd2b78d18e2a270e1edf481de8d37dfb02bc0159a868dfef9ee44366ad4b1 | MATLAB | 355 | 18 | %% check_PL_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
PL_tree (tree);
end
end
%% test 2
PL_tree (sample_tree, '-s');
tprint ('./panels/PL_tree1', ...
'-jpg... |
15f04b116055fd3bde79eacc080acef9651ad938b40eaea4173835bb634bfa16 | MATLAB | 356 | 25 | %% check_graphtheory
check_asym_tree
check_B_tree
check_bin_tree
check_BO_tree
check_C_tree
check_child_tree
check_dissect_tree
check_dist_tree
check_gene_tree
check_idpar_tree
check_ipar_tree
check_LO_tree
check_PL_tree
check_Pvec_tree
check_ratio_tree
check_redirect_tree
check_rindex_tree
check_sort_tree
check_sub_t... |
31b47695a9dc78ba378fec0db0fc44d4a0a697c647e3502004bac82887d1b772 | MATLAB | 358 | 9 | function coordinates = createCoordinates(bounds, step)
bounds = abs(bounds);
coordinates = -bounds + step/2:step: bounds - step/2;
%due to numerical instability of floating point numbers, somtimes series
%is missing the last point.
if(abs(coordinates(end) - (bounds - step/2)) > 1e-10)
coor... |
67102aecce9a1545c226d3fd4672081b9b7fc4d9628dc7ee0beb91018e445506 | MATLAB | 358 | 19 | %% check_vol_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
vol_tree (tree);
end
end
%% test 2
vol_tree (sample_tree, '-s');
tprint ('./panels/vol_tree1', ...
'-j... |
23faa87af680d212e4609624ba4d9111d36847369dc456a1590f0fb3c58fbe72 | MATLAB | 360 | 11 | %% Processed Images (ProcessedImg Classes)
%
% * <./pi_CellScan.html |CellScan| quick start guide>
% * <./pi_LineScanDiam.html |LineScanDiam| quick start guide>
% * <./pi_LineScanVel.html |LineScanVel| quick start guide>
% * <./pi_FrameScan.html |FrameScan| quick start guide>
% * <./pi_XSectScan.html |XSectScan| quick ... |
821809185f30bc9bea3c2507d7a5a21401a1723a78590205fffbb017b2f6c21f | MATLAB | 360 | 18 | %% check_surf_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
surf_tree (tree);
end
end
%% test 2
surf_tree (sample_tree, '-s');
tprint ('./panels/surf_tree1', ...
... |
200c25384cc261be3a44c17e728f409c8a59643ef48c29dabc589fb551cbb7c1 | MATLAB | 361 | 11 | % An adaptive thresholding by means
% ws is the local window size.
% C is substraction to manupullation
function bw = adaptive_threshold(IM,ws,C)
IM = mat2gray(IM);% convert all to 0 and 1
mean_IM = imfilter(IM,fspecial('average',ws),'replicate');
substract = IM-mean_IM-C;
bw=im2bw(substract,0);
figure(1); imsh... |
f4702039168df5aa4d07b9c16e62beeba0d57522070dc00be27948610dcde4e7 | MATLAB | 361 | 17 | %% check_cvol_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
cvol_tree (tree);
end
end
%% test 2
cvol_tree (sample_tree, '-s');
tprint ('./panels/cvol_tree1', ...
... |
05b5f312c0c06698c93b58eb1d6385772d26a742bd986ccaac81f833c30d8b19 | MATLAB | 362 | 15 | function oldGamma = setGamma(sn, gt)
%
% setGamma([screenNumber], [gt])
%
AssertOpenGL;
if(~exist('gt','var') | isempty(gt) | size(gt,1)~=256 | size(gt,2)~=3)
% Set a linear gamma
gt = repmat(linspace(0,1,256)',1,3);
end
if(~exist('sn','var') | isempty(sn))
sn = max(Screen('Screens'));
end
oldGamma = Scree... |
31c42516181e116c9afb296ecdd3ce3baeba71368454cb30d00f1c115ccb658a | MATLAB | 364 | 14 | %%
% Reproduces all modeling panels in:
% IA Oldenburg, WD Hendricks, G Handy, K Shamardani, HA Bounds, B Doiron,
% H Adesnik. The logic of recurrent circuits in the primary visual
% cortex. Nature Neuroscience (2024)
%
% Written and edited by G Handy, IA Oldenburg, and WD Hendricks
%%
clear; close all; clc;
p... |
9c468ce6efe652b7ecf412f3f1a7abbac721bd385c903bd7bf3c4661b9b7f942 | MATLAB | 365 | 16 | function rootDir = taft_set_rootDir()
% rootDir = taft_set_rootDir()
%
% Set root directory for functions in TAfT directory.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2021.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/EEG_Scripts/OutcomeLockedAnalyses/... |
734e6422ab6aa1c56bce33fa747d9e76828e2de56ce692eec81a4ae65feabf94 | MATLAB | 366 | 18 | %% check_idpar_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 1000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
idpar_tree (tree);
end
end
%% test 2
idpar_tree (sample2_tree, '-s');
tprint ('./panels/idpar_tree1', ..... |
77027781b70858eb2f93845f884172f85ac5d603419c3997b64949a86930cac0 | MATLAB | 366 | 17 | %% check_rindex_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
rindex_tree (tree);
end
end
%% test 2
rindex_tree (sample2_tree, '-s');
tprint ('./panels/rindex_tree1', .... |
a509ee8e81c3788fbd31887a8ac34b9ad4c316c16ad9dcc3e0541cf6f6876e75 | MATLAB | 366 | 12 | % Start the client, specifying the IP address of the Zapit server
client = zapit_tcp_bridge.TCPclient('ip','122.14.143.200');
client.connect;
% present the last stimulus condition for a short period
nCond = client.getNumConditions;
client.sendSamples('conditionNumber',nCond, 'hardwareTriggered', false);
pause(3)
clie... |
05bd87537dc7778e8ed4c01e81e820da59118fa912601cd4d25dee3966b8298c | MATLAB | 367 | 15 | %% check_scale_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 50
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
scale_tree (tree, 2);
end
end
%% test 2
scale_tree (sample_tree, 1.2, '-s');
tprint ('./panels/scale_tree1... |
b5ef5856af2bbdc8e65336423ffa3fc9364e25296b04888c9d08c32b5ae88bca | MATLAB | 367 | 10 | function sessionNum = GetSessionNum(sessionNames)
sessionNum = zeros(1,length(sessionNames));
for k=1:length(sessionNames)
curName = sessionNames{k};
ind = strfind(curName,'Session');
curName = curName(ind+length('Session'):end);
ind = find(curName=='_',1,'first');
curName = curName(1:ind-1);... |
be65a7be8319101d5d606d0985aad6c59de7f5fded0fd93792ffb39534869627 | MATLAB | 369 | 12 | function voxSize = getVoxSize(MRSIStruct, dimension)
switch(lower(dimension))
case 'x'
voxSize = MRSIStruct.voxelSize.x;
case 'y'
voxSize = MRSIStruct.voxelSize.y;
case 'z'
voxSize = MRSIStruct.voxelSize.z;
otherwise
error('voxSize not ... |
2f64fbef4758b44997f8577cbe5c0d2807cc8bbd61fb4d251480fa013d80f4a4 | MATLAB | 373 | 16 | function rootDir = helpers_set_rootDir()
% rootdir = helpers_set_rootDir()
%
% Set root directory for EEG helper functions.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2021.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/EEG_Scripts/CueLockedAnalyses/CueLo... |
cc8ff12534633541268046410731201bb1f1f17cbb48caace3c2d0c8998b9712 | MATLAB | 373 | 15 | function [ret,messages] = check_files_in_base_calling()
loadParameters;
ret = true;
messages = {};
outputfile = fullfile(params.basecallingResultsDir,sprintf('%s_results.mat',params.FILE_BASENAME));
if ~exist(outputfile,'file')
ret = false;
messages{end+1} = sprintf('[ERROR] not c... |
47e7ea1af8110cea3f5ee06c62fabf6bfe14ecc09ffe99d9853e756ab77da8d4 | MATLAB | 374 | 18 | clc;clear;close all
%%
% number of edges
N = 100;
NE = N*(N-1)/2;
%
S = 0.2*ones(NE);
for i = 1:NE
S(i,i) = 1;
end
save('data/Example_Covariance.mat','S');
writematrix(S,'data/Example_Covariance.csv');
%%
R_vec = 0.2 + (1-0.2)*rand(1,NE);
R = squareform(R_vec);
save('data/Example_Reliability.mat',... |
9ae99e906608f06756a3c4fbb8f6c6d928621aef2a4b63799c40b8449c34eb39 | MATLAB | 374 | 18 | %% check_idchild_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
idchild_tree (tree);
end
end
%% test 2
idchild_tree (sample2_tree, [], '-s');
tprint ('./panels/idchild_tr... |
fd4eb70dace107ecd3c1338e510bbe06497e2977baca60512ec05cec29d13904 | MATLAB | 376 | 14 | function[params,minerr] = fitGeneralizedLaplacian( x, f )
minerr = 1e99;
for p = 0.01 : 0.05 : 5
for s = 0.01 : 0.05 : 5
gl = exp( -(abs(x)/s).^p );
gl = gl / sum(gl);
err = mean((gl-f).^2);
if( err < minerr )
minerr = err;
... |
b7f857c49badeada59c77726cd11c1f70a408f58be922fcc08346482f94a1338 | MATLAB | 377 | 16 | %% check_redirect_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 50
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
redirect_tree (tree, 5);
end
end
%% test 2
redirect_tree (sample2_tree, 5, '-s');
tprint ('./panels/redire... |
f5d0e45ea7547e9198086c8d69d32b9c6792a15588f65842f763d320ffea51a1 | MATLAB | 378 | 11 | function outNum = LK_floor(inNum, precision)
%
% LK_floor is identical to floor with the additional option to specify a
% precision to floor towards a specific decimal place. The precision is
% specified as a power of 10 (with positive precision values leading to
% more precise flooring).
%
% Lukas Kunz, 2021
prec ... |
86166600b54ddad80757735357b465456954215027ea11b120c27e5730aaa8b6 | MATLAB | 379 | 12 | function MRSIStruct = setCoordinates(MRSIStruct, dimension, value)
switch(lower(dimension))
case 'x'
MRSIStruct.coordinates.x = value;
case 'y'
MRSIStruct.coordinates.y = value;
case 'z'
MRSIStruct.coordinates.z = value;
otherwise
error... |
e9d05b65eeac8dc8ec41e93edaf0c2c685f67a5926447a1fbdf8f0c0e7e3d4b6 | MATLAB | 379 | 12 | function zapitSettingsFileName = returnZapitSettingFileName
% Return the zapit settings file name as a string
%
% Purpose
% Multiple files need access to this file name so we define it here once.
% Returns "zapitSystemSettings.yml"
%
% Rob Campbell - SWC 2022
zapitSettingsFileName = 'z... |
ca078011247b9c56e18c8bd9de0fb07cf7c52b2a42299c460af56eef255f3fa6 | MATLAB | 380 | 17 | function [nRow,nColumn] = DispRowColumn(N)
%% function [nRow,nColumn] = DispRowColumn(N)
% Return the numbers of rows and columns when display N panels
%
%
% YC at ES lab
% Created on Mar. 12, 2009
% Last modified on Mar. 12, 2009
%% Numbers of rows and columns
nRow = round(sqrt(N/12)*3);
nColumn = roun... |
cb3ecf54469a2e53f51a309dc1e7a6abb83ac5fabbfa506c191e6d17aaaab27a | MATLAB | 381 | 11 | function outNum = LK_ceil(inNum, precision)
%
% LK_ceil is identical to MATLAB's ceil with the additional option to
% specify a precision to ceil towards a specific decimal place. The
% precision is specified as a power of 10 (with positive precision values
% leading to more precise ceiling).
%
% Lukas Kunz, 2021
prec... |
3397e8a941c89f509e768e67230eae7a81f60fa4a78a39fc6eebce6657e4f49c | MATLAB | 386 | 15 | %This script will run both initialization scripts for T2N and TREES Toolbox
%if they are currently not found to have been installed. Run before
%attempting any model generation in NeMo-TMS.
if ~exist('load_tree', 'file')
cd ./treestoolbox-master;
start_trees();
cd ..
end
if ~exist('t2n_writeTrees', 'file'... |
431c03894e942de2323fbf8c2c60c7b42901ad7d6d77a74dd35e70982be24f31 | MATLAB | 387 | 22 | function C = CalculateFilt2D(A,B)
%% function C = CalculateFilt2D(A,B)
% Calculate 2D filtration of A by B
%
% Use fft2, so much faster than filter2 in matlab
% A and B must be 2D
% C has same size as A
%
%
% YC at ES lab
% Created on Sep. 29, 2009
% Last modified on Oct. 1, 2009
%% Check inputs and/or outputs
%% Fi... |
6bf3f149785c706dff0739b07a496c1de8d53b186f3a57a10283150bfb39e008 | MATLAB | 387 | 12 | function nu = rspnsFunc(trp, tau, a, b)
% Neuron's current-frequency response function
%
% Input:
% trp - refractory period time
% tau - membrane time constant
% a,b - limits of integration provided in the parent function mfa.m
% Output:
% nu - firing rate
nu = 1e3/(trp + ... |
4b7067eee68a29d5b0c57335ad9d0409d709f0de1ad5c9a977f2e6c1c388bd2a | MATLAB | 388 | 22 | function [M,E] = ising_exact_fluctuations(P,E,spin)
% Compute fluctuations of magnetization
m = 0; m1 = 0;
for i = 1:size(spin,1)
m = m + P(i)*(mean(spin(i,:)).^2);
m1 = m1 + P(i)*(mean(spin(i,:)));
end
M = m - m1^2;
% Calcoliamo le fluttuazioni dell' energia
e = 0; e0 = 0;
for i = 1:size(spin,1)
e... |
13c6e499e264522605a00b52e733529195c227eeba6315238c8559e6847fc34f | MATLAB | 391 | 15 | function df = st_tablegiveROInumber(df, roiList)
% give number to ROIs
pat = ("rh"|"lh");
for r = 1:length(roiList)
if contains(roiList{r},pat) == 0
df.roiNumber(find(df.roiName2==roiList{r})) = r;
elseif contains(roiList{r},pat) > 0
df.roiNumber(find(df.roiName==roiList{r})) = r;
end
end
... |
ccb4515e54381334f7bf5d826c2b5d86081a078c24d6abb5942d03ca92778109 | MATLAB | 391 | 19 | %% check_insertp_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
insertp_tree (tree, [], 'none');
end
end
%% test 2
insertp_tree (sample_tree, 43, 50 : 10 : 100, '-s');
tprint ('./p... |
0e8f8474e67530515dd520bbe09dc5e79c1d7cc4a72ef5d9b5ad60ce8e3f5f22 | MATLAB | 392 | 19 | function [status, time0] = newStartScan
% This code will trigger the 3T GE scanner at CNI using the E-prime trigger
% cable. --Michael 09/30/2013
try
s = serial('/dev/tty.usbmodem12341', 'BaudRate', 57600);
fopen(s);
fprintf(s, '[t]');
fclose(s);
catch err
end
if exist('err','var') == 0
time0 = Ge... |
f62b0cae69069e9a86d82873bd6a7be28ae98290ccd8c773acf7dc11c1a78901 | MATLAB | 393 | 16 | function segParams = GetSegParams(sbxInfo)
paramsPath = sprintf('%s%s_seg_params.mat', sbxInfo.dir, sbxInfo.exptName );
if exist(paramsPath, 'file')
fprintf('\nLoading %s', paramsPath);
load(paramsPath); % , 'IP'
if ~exist('segParams','var') && exist('IP','var')
segParams = IP.Results;
... |
ae14d1cf6c153269c0b289a708a7e736dc8af181380d954944a3e9e991536a07 | MATLAB | 395 | 16 | function rootDir = grouplevel_set_rootDir()
% rootdir = grouplevel_set_rootdir()
%
% Set root directory for EEG grouplevel analysis functions.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/EEG_Scripts/CueL... |
69e2561e12d4e357d14809968624bcbe05c7f5e1aa18eaf137d196405007bb9d | MATLAB | 397 | 12 | function imageOrigin = getImageOrigin(MRSIStruct, dimension)
switch(lower(dimension))
case 'x'
imageOrigin = MRSIStruct.imageOrigin(1);
case 'y'
imageOrigin = MRSIStruct.imageOrigin(2);
case 'z'
imageOrigin = MRSIStruct.imageOrigin(3);
otherwise
... |
1c5e30d640d15f92efadd452b6dd88f68ce3d5b57e2cffd4790e7bf134ab59ef | MATLAB | 398 | 16 | function rootDir = preprocessing_set_rootDir()
% rootdir = preprocessing_set_rootDir()
%
% Set root directory for EEG preprocessing functions.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/EEG_Scripts/CueL... |
769f735e51bcefe7c6c670fef1e68e45d94a91f59e5b6d92ff83bedd60bb803d | MATLAB | 398 | 12 | function [f, t] = getROImean(vol,roix,roiy,roiz,td)
%getROImean gets the time evolution of the region of interest inside of vol
% vol: 4D data [3d spatial] x [1d time] -> [Nx Ny Nz Nt]
% roi: vector with range of indices [3d spatial] -> [3]
% f: mean of vol(roi) at each time point
% t: time points (0:td:td*Nt)
f =... |
9008a25999802784f3bca5a4b6212b66103bf043f71e31a63321bb80edb1563f | MATLAB | 398 | 21 | function stimConfigEditor
% A convenience function for starting the stim config editor standalone from the command line
%
% zapit.stimConfigEditor
%
% Purpose
% Start the stim config editor without needing to first start Zapit. Useful for
% making config file away from the rig machine.
%
% Inputs
% none
%
% Outputs
%... |
ce5f6334adea509b8517e7420e89e6adef6e551fffed910ef461dc7edaca3a2b | MATLAB | 398 | 20 | %% check_clean_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counter = 1 : length (dLPTCs{1})
clean_tree (dLPTCs{1}{counter}, 20);
end
%% test 2
clean_tree (sample_tree, 20, '-s -w');
tprint ('./panels/clean_tree1', ...
'-jpg -HR', [10 10]);
%% test 3
clean_tree (hsn_tree, 20, '-s... |
e44e5cea5c8b51c45cee49e665e64e2d3d33a7700609e1e7f910c2f94f7a72ed | MATLAB | 398 | 14 | function [mouseIdVec,dayVec] = mouseIdToNumber(mouseIdStrCellVec)
mouseIdVec = zeros(1,length(mouseIdStrCellVec));
dayVec = zeros(1,length(mouseIdStrCellVec));
%Mouse28 day1 SP
for k=1:length(mouseIdStrCellVec)
curStr = mouseIdStrCellVec{k};
numbers = regexp(curStr,'\d*','Match');
mouseId... |
07ae092baff2b2cfa68ca4aaea3cea7cf797c13db3f7fe55a0fba09dab404912 | MATLAB | 399 | 12 | function [mixedfilters] = reload_moviedata(npix1, mov, mixedsig, CovEvals)
%-----------------------
% Re-load movie data
nPCs1 = size(mixedsig,1);
Sinv = inv(diag(CovEvals.^(1/2)));
movtm1 = mean(mov,1); % Average over space
movuse = mov - ones(npix1,1) * movtm1;
... |
9e8ce331c2c9ad9c5f8b3af82150e980a2de8a56cbce37d7d6fac5d683dad7e2 | MATLAB | 399 | 24 | function YesOrNo = FileExistsOverwrite(fn)
%% File exists. Overwrite?
%
%
% YC at ES lab
% Created on Apr. 25, 2008
% Last modified on Apr. 25, 2008
if exist(fn,'file')
Answer = ...
questdlg(sprintf('%s has already existed! Overwrite?',fn),'Overwrite?');
drawnow;
switch Answer
case 'Yes'
YesOrNo =... |
d3593935b9c0d2c59e332e5fd55d667280954a9450edaab82f10ba4d67454cd7 | MATLAB | 401 | 18 | function lipidMask = op_CSICreateLipidMask(MRSIStruct)
checkArguments(MRSIStruct);
dimensionIndexes = checkDimensions(MRSIStruct);
end
function checkArguments(MRSIStruct)
checkSpatialFT(MRSIStuct);
checkSpectralFT(MRSIStuct);
end
function [dimensionIndexs] = checkDimensions(MRSIStruct)
dat... |
21c16f235dd889951b0e5a2b4c26e851b7fd7265794bfe378ad16ce45f03dc99 | MATLAB | 402 | 12 | function p = apply_4D_transformation_matrix(points, matrix)
% Applys a 4x4 transformation matrix (rotation + translation) to the
% points (http://en.wikipedia.org/wiki/Homogeneous_coordinates).
% points have Nx3 dim
% Alexander Opitz, 2010
% $Id$
if any(size(matrix)~=4)
error('matrix has to be 4x4 siz... |
e763b088c0d44b90601e58b08c82fef0d7f853c9da879e42f245a6e3f5dedcf2 | MATLAB | 403 | 15 | %% Convert raw video into single frames
V = VideoReader('RawData.avi'); % Read in raw videos
V.CurrentTime = 0;
num_images = V.FrameRate*V.Duration;
i = 1;
tic,
while hasFrame(V)
frame = readFrame(V);
fprintf('frame%04d \n',i);
Captured_images = im2double(frame(:,:,1));
imwrite(Captured_imag... |
130cf2f58661199b04bad8426d252c05744cc935cc4eb8bb78505750b2c9aea8 | MATLAB | 406 | 13 | % GRAPHICAL USER INTERFACE
%
% functions relating to the graphical user interface provided by the TREES
% toolbox
%
% Files
% cgui_tree - User interface to try out TREES package functions.
% cgui_tree_initialize - initialize the GUI
% cgui_tree_keys - define the keyboard mapping
%
% the TREES too... |
bd1f3cba08edaf881f41655643d391a5c7101f35079954ae8f1a497d416a882b | MATLAB | 406 | 15 | function ste = LK_ste(mat)
%
% LK_ste computes the standard error for each column of the input matrix
% "mat".
%
% The calculation is performed across the first dimension of the input
% matrix ("mat"): ste = std(mat, [], 1, 'omitnan') ./ sqrt(sum(~isnan(mat), 1));
%
% Use as: ste = LK_ste(mat);
%
% See also: std, nanst... |
2fa54be2fd6f1e90de3e6189dcaeefa2d1b5bcb8c09ed62dea734cb33f02e008 | MATLAB | 407 | 18 | function hh = fillAroundLine(dat,err,colz)
% h = fillAroundLine(dat,err,color)
hh = [];
xn = 1:length(err);
for i = 1:length(err)-1
hold on;
yplus1 = dat(i)+err(i);
yplus2 = dat(i+1)+err(i+1);
yminus1 = dat(i)-err(i);
yminus2 = dat(i+1)-err(i+1);
hh(end+1) = fill([xn(i) xn(i) xn(i+1) xn(i+1)]... |
ee6990b466c50965a3efe002b839b9b51eb978436cb7ad092be9ec343d4107f5 | MATLAB | 407 | 14 | %%
% Import project-wide constants
constants_raw
%% Load data
[T, G, Map, Ang, Pos, wake, rem, sws] = load_mouse_data(DATA_PATH, MOUSE_NAME);
%% Basic extraction of data
[full_neuron_firing_per_bin, angle_per_temporal_bin, position_per_temporal_bin] = create_spike_count_and_angles_vector(wake, T, G, Ang, Pos);
%%
... |
aadab3c28cbaa4589f732e21655982d43fb843db99049bfb48d8f92b9afa46fd | MATLAB | 408 | 24 | function Y = FuncWoNFermi(P,X)
%% function Y = FuncWoNFermi(P,X)
%
% Fermi function WithOut Normalization
%
% P = [Amp,X0,Base,Tao] --- parameters
% Y = Amp./(1+exp(-(abs(X)-X0)/Tao))+Base;
%
%
% YC at ES lab
% Created on Jan. 13, 2012
% Last modified on Jan. 18, 2012
%% Parameters
Amp = P(1);
X0 =... |
8289c7366035c1af187e2e77eaac48a8707ef9714d3fc6feee514d120d062492 | MATLAB | 410 | 18 |
function [k pauseKey quitKey resumeKey tenKeyFlag] = getKeyboardAuto
d = getDevices;
if isempty(d.keyInputExternal)
fprintf('\n\n10-key not found! Using internal keyboard.\n\n');
k = d.keyInputInternal;
pauseKey = 'p';
resumeKey = 'r';
quitKey = 'q';
tenKeyFlag = 0;
else
k = d.keyInputExte... |
a1e511d3eb77ba1ec93221246509bdc6cb6d97f5289e8e9018f104543901de57 | MATLAB | 410 | 12 | function plotPCAwithRespQuality(pcaCoords, responseInd, respThreshold)
qualityInds = responseInd > respThreshold;
figure
scatter(pcaCoords(qualityInds, 1), pcaCoords(qualityInds, 2), [], responseInd(qualityInds), 'filled')
caxis([0 1])
setFavoriteColormap
hCBar = colorbar;
xlabel('First PC');
ylabel('Second PC'... |
b787391c6528cbf5a70d2a011521ec914df731dcc9aabf020c3cf402003da961 | MATLAB | 413 | 47 | function x=demean(x,dim)
% DEMEAN(X)
% Removes the Average or mean value.
%
% DEMEAN(X,DIM)
% Removes the mean along the dimension DIM of X.
if(nargin==1)
dim = 1;
if(size(x,1) > 1)
dim = 1;
elseif(size(x,2) > 1)
dim = 2;
end
end
dims = size(x);
dimsize = size(x,dim);
dimre... |
6ead01d04fcb0f48cd221f1b9db382e58080e3af1b1d6a859a96bab4a7e047d8 | MATLAB | 416 | 16 | %% check_cat_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
sample = sample_tree;
for counter = 1 : length (dLPTCs{1})
cat_tree (dLPTCs{1}{counter}, sample);
end
%% test 2
sample2 = sample2_tree;
sample2T = tran_tree (sample2, [55 25 0]);
cattree = cat_tree (sample2, sample2T, [], [... |
fc5128c1763748bb3d835e0ed5ac46958288255040196a821e2e5892be8dca0b | MATLAB | 416 | 21 | function sformatted = stringFormat(s)
% Converts s to a standard string format for rgcParameters set/get calls
%
% sformatted = stringFormat(s)
%
% The string is sent to lower case and spaces are removed.
%
% ex:
% stringFormat('Spatial sampling Rate')
if ~ischar(s), error('s has to be a string'); end
% Lower ... |
c072d7862622fd48cb6743a13bb1428ee1557d7d3a92cea5f1318d319f506139 | MATLAB | 419 | 16 | clear;
clc;
subs=1:1:30;
parfor ss=1:length(subs)
subnum=subs(ss)
ac{ss}=savefor_Figure12(subnum);
end
for ii=1:length(subs)
subnum=subs(ii)
filename=[pwd,'\temporary data\fbtrca_ac\sub',num2str(subnum),'.mat'];
load(filename)
fbtrca_ac(subnum,:,:)=ac;
fbtrca_it... |
1cab5e382298953f9455346d6c342f89a01b9151ef1ef745213838a5f93c0e74 | MATLAB | 420 | 11 | function x = goi_copnorm(x)
% COPNORM Copula normalisation
% cx = copnorm(x) returns standard normal samples with the same empirical
% CDF value as the input. Operates along the first axis.
% Equivalent to cx = norminv(ctransform(x))
%
[~,x] = sort(x, 1); %
[~,x] = sort(x, 1); % Ranking of... |
651b21c0aa25e83b6f30c6d27aa99196802c35162e9ba5a4273df17064dd8ca7 | MATLAB | 421 | 12 | function subvector = getSubvector(Clist, CID, i)
% split the vector Clist into subvectors using the values of CID as the lengths of these subvectors.
% Then, when given an index i, the corresponding subvector from Clist is selected.
if i == 1
start_idx = 1;
else
start_idx = sum(CID(1:i-1)... |
7f7402348218ea12bbf1228a8baeb86e32f105ea26d58ba41d44ec67434a49bd | MATLAB | 421 | 20 |
function RF = createRF(rf)
x = linspace(0,24,61);
% x = (0.1980:0.1980:20);
x = x - mean(x);
y = x;
% Calculate the spatial sampling parameters
[X,Y] = meshgrid(x,y); XY = [{X},{-Y}];
% Y = -Y;
rf.values = pmGaussian2d(XY{1}, XY{2}, ...
rf.sigmaMajor,rf.sigmaMinor,rf.Theta, ...
rf.Centerx0,rf.Centery0);
% ... |
3b6939c58ce5b018df9d747f5b717c096f6f1ed25ae9f4455b20c9271c7bf1c8 | MATLAB | 422 | 17 | function convnfft_install
% function convnfft_install
% Installation by building the C-mex file needed for convnfft
%
% Author: Bruno Luong <brunoluong@yahoo.com>
% History
% Original: 16/Sept/2009
arch=computer('arch');
mexopts = {'-O' '-v' ['-' arch]};
% 64-bit platform
if ~isempty(strfind(computer(),'64'))
mex... |
121e6293a773b69d37f190f5b8126b6c65f4110da12ff7fb6f53d9235ceaa3c0 | MATLAB | 423 | 13 | %% check_spread_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
spread_tree (dLPTCs{1}, [], [], '-s');
tprint ('./panels/spread_tree1', ...
'-jpg -HR', [10 10]);
%% test 2
dLPTCs = load_tree ('dLPTCs.mtr');
spread_tree (dLPTCs{2}, 200, 2... |
d4ae7cf514a7015de4ff9c7ad72cd2e7407c7bb3beb82b39c72c8422695be116 | MATLAB | 426 | 15 | % returns index of features which seem to be more important, ignoring a
% handful of the others which tend to screw things up
function keepmetric = filterFeatures(names)
keepmetric = []; ct = 0;
for i = 1:length(names)
if isempty([strfind(names{i},'iqr'), ...
strfind(names{i},'25'), st... |
1b334c1c0ddcb2ba02155e3a4debbb4e660817c79b97912509da66c568ce760f | MATLAB | 427 | 19 | %% check_sub_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
for counteri = 1 : 100
sub_tree (tree, counteri);
end
end
end
%% test 2
sub = sub_tree (sampl... |
49150383406e429a435bf75e67fffa235a396c5c9c0a07f15c6cc5f3a4c78609 | MATLAB | 428 | 21 | function isPressed = isShiftPressed
% Return true if shift is pressed
%
% zapit.utils.isShiftPressed
%
% Inputs
% none
%
% Outputs
% isPressed - boolean. True if shift is presed. False otherwise.
%
% Rob Campbell - SWC 2022
mod = get(gcbo,'currentModifier');
isPresse... |
4afb62ce7fa019fbb0f09839f503bfeec47b5519093e6aa41825c050bd3ce89d | MATLAB | 432 | 18 | %% check_gm_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
tree.Ri = 100;
tree.Gm = 1 / 2500;
tree.Cm = 1;
gm_tree (tree, 'none');
end
end
%% test 2
gm_tree ... |
a66453ead7b7b11b50cee68aed954ef3d62176a7ffa3cb6f16ac98f615a330db | MATLAB | 432 | 13 | function newPrevPermute = removeDimPrevPermute(prevPermute, dimNumber)
newPrevPermute = prevPermute;
for iDim = 1:size(prevPermute, 2)
dimensionNumber = prevPermute{1, iDim};
if(dimensionNumber > dimNumber)
newPrevPermute{1, iDim} = dimensionNumber - 1;
elseif(dimensionNumbe... |
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