sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
8b97fd766c09ab21047771e16a619aeda177638bf538d31e158ace28cc06cd23 | MATLAB | 627 | 23 | function [dp,c] = getdprime(h,fA)
% dprime d' calculation from hit and false alarm rate
% outputs:
% dp = d'
% c = criterion c (negative values -> bias towards yes responses)
% check input
narginchk(2,2);
% check for values out of bounds, also issue errors or warnings if =1 or 0
if or(or(h>1,h<0),or(fA>1,fA<0... |
2a73c8c2c22cca08345d9c47080ca8ba1d0ae4c3d852ce7e96987ec182afe6ba | MATLAB | 628 | 19 | function [Tcutout,cutout]=SelTimesAssem(twin,Tmtx,data,tRange)
% Select specified time range around trial periods from continuous data in
% workspace
%
% Aleksander PF Domanski PhD UoB 2016
% aleks.domanski@bristol.ac.uk
if size(data{1},1)~=length(Tmtx)
Tmtx=Tmtx(1:end-1);
end
for s=1:length(data) %... |
e73bded5089e4da32e9ffac0b9c0ccc9b53353a30dedb9c54df78258ca588044 | MATLAB | 629 | 25 | function [ T ] = CylinderFaces( NumPts, AAxis, BAxis )
%CYLINDERFACES Given a cylinder defined by two circles
%with NumPts around their perimeters
%Return a Nx3 matric defining faces required to render the cylinder
%with the patch command
T = zeros(NumPts*2, 3);
N1 = AAxis ./ norm(AAxis);
N2 = BAxis ... |
0cdc000fb0e744ef351b051d7527e6441b3a72a358d4a1bc82140128465ed189 | MATLAB | 630 | 26 | function [newdata,meandata]=tpfilter(data, timepoints)
% TPFILTER - Filter two-photon data with high-pass filter
%
% [NEWDATA,MEANDATA] = TPFILTER(DATA, TIMEPOINTS)
%
% NEWDATA is a filtered version of DATA; the data are passed
% through a high-pass filter with a 240s cut-off time.
% The mean is then added back to th... |
f9b7f9d4348e4e4b438726a4145d9d48156be2f98efa6d327c0b82c840e02ff0 | MATLAB | 630 | 27 | function handles = setupNextTrial_SanesLab(handles)
%handles = setupNextTrial_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function sets up the GUI next trial table
%
%Inputs:
% handles: handles structure for GUI
%
%
%Written by ML Caras 7.24.2016
global RUNTIME ROVED_PARAMS
empty_cell = cell(... |
0e79ee557d94e4a961c0a65f5eb85e493c90178be539929d92ee59e6dce0404a | MATLAB | 632 | 21 | function plotSwitchInitHeadingBias(frame, labels, bias_means, bias_stdevs)
swAngles = unique(labels.obs_heading_drift);
initHeadings = unique(labels.obs_heading_x);
markers = ["^", "s", "o"];
colors = ["r", "g", "b"];
figure(5);
for h = 1:numel(initHeadings)
% Plot current frame error... |
1485587fd6f97a1a5a52caa8934f1eb897dba39140b30bb59c751509440a8022 | MATLAB | 632 | 27 | function runspksorter(Pname)
clear all
close all force
clc
% Run spike sorting functions. This is for after preprocessing steps.
% Created 23 April 2016 JDY
if( nargin < 1 )
subject = '255183';
session = 'ZA-54'; %'-#' = Block #%
% subject = '253888';
% session = 'WA-51'; %'-#' = Block #%
% ... |
deabab919fbee23fb98f195c3a13700eddeca23ec7d0e3ceedffa56a680b12a2 | MATLAB | 633 | 17 | function GFP = compute_GFP(scalp_data)
% Compute the Global Field Power (GFP) for the input (real) vector.
%
% Cfr Skrandies1990_GFP or Khanna2015_microstates.
% GFP: is helpful to identify overall ERP component from multichannel data.
% GFP = spatial standard deviation; quantifies the amount of activity at
% e... |
a2015dc5ac7fd59aad907abd54b560639bd4faa017e7f0672180240b34ef8440 | MATLAB | 634 | 20 | function info = DB_GetUnitInfo(unit_id)
% info = DB_GetUnitInfo(unit_id)
%
% Retrieve lots of info about a unit's channel, block, tank, and experiment
%
% Daniel.Stolzberg@gmail.com 2016
narginchk(1,1);
nargoutchk(1,1);
assert(isscalar(unit_id),'DB_GetUnitInfo:unit_id must be a scalar value')
info = mymprintf( ...
... |
d22b05870eaa0e4e02ed94d5218cf9b873f5b1e3c2112be6fbc9af718b0cd4fe | MATLAB | 634 | 25 | function ImportAnnotations(self, importTable, varargin)
if nargin == 3
overwrite = varargin{1};
else
overwrite=false;
end
annotFolder = fullfile(self.ProjectPath, 'annotations');
for i = 1:size(importTable,1)
currVideoName = importTable.VideoName{i};
currAnnotFile = importTable.FilePath{i};
a... |
e03a75157f65656b45efcd8c91eb13c90cf944425d2f99b6b3d6e50b0c0a4bd1 | MATLAB | 634 | 21 | function [upm,Momentum,InitialLearnRate,L2Regularization] = func_UsePreviousModel(PromptOption)
%prompt = 'Do you want to use previous model parameters to avoid Bayesian Opt for CNN? Type Y for Yes and N for No.: ';
%PromptOption = input(prompt,'s');
if strcmp(lower(PromptOption),'y')==1
upm = 1;
model = load(... |
d0bef0cf625670145ecf3d92d5abcc22d3360b2d1853db1533f05482dc7fd568 | MATLAB | 635 | 17 | function cont = inStr(findStr, searchedStr)
%inStr Shorter way to determine whether a string is contained in another
% Usage: inStr(findStr, searchedStr) Find the findStr in one searchedStr
% Usage: inStr(findStr, searchedStr) Find the findStr in list
% findStr is searched for in searchedStr.
% Return... |
0232648f35ccde1add6186b93d7c48899be4a5f619733f34ce1deaafdf3fd01a | MATLAB | 636 | 18 | % part of https://github.com/LudgerS/MRSartifactRemoval
%
% Voigt curve with variable area.
% Variable mixing of Lorentzian and Gaussian component, matched FWHM.
%
% Follows Bruce et al., "An Analytical Derivation of a Popular Approximation
% of the Voigt Function for Quantification of NMR Spectra", Journal of... |
30a7513c31f422f11e4b2037edc40e2c756f1ae14d9e604aec0dc0ae2a85c374 | MATLAB | 636 | 27 |
seconds = 1:1200;
MLperMin_Steady = 0.3;
consumed_Steady = MLperMin_Steady/60*seconds;
flowRate_Pulse = 0.29;
timeOn = 400; timeOff = 0;
propSecON = timeOn / (timeOn+timeOff);
MLperMin_Pulse = propSecON*flowRate_Pulse;
consumed_Pulse = MLperMin_Pulse/60*seconds;
figure;
plot(seconds,consumed_Steady,'k', 'LineWidt... |
63f68161c3dfa12404a87d5a7f213ac2fcf16ae4330f25058b727a68459b434c | MATLAB | 640 | 25 | function RT = get_RT_from_YAP_button(data, data_trigger, SR)
% Fetch the reaction time (RT) from the NI input data from the YAP response
% button.
% Inputs
% data: YAP RT trigger (data is a column vector).
% data_trigger: trigger from the TCS2 (red plug).
% data: is always O and then 5V when b... |
38b866b22edbd016ae61daf416b3b9f10ff5a4ea850008e5340a5f1e5033f6b1 | MATLAB | 641 | 19 | function [Tcutout,cutout]=SelTimesFRs(twin,Tmtx,data,tRange)
% Select specified time range around trial periods from continuous data in
% workspace
%
% Aleksander PF Domanski PhD UoB 2016
% aleks.domanski@bristol.ac.uk
if length(twin)==1;twin =[-twin twin]; end
for s=1:length(data) % across brain regions: PF... |
9234b1ba9a290aef09d08537fcd52903448f3a094d1f346597ce7cc612ac585d | MATLAB | 641 | 25 | function t = TrigRPTrial(RP,trig)
% TrigRPTrial(RP,trig)
% t = TrigRPTrial(RP,trig)
%
% Use with EPsych experiments
%
% Returns an approximate timestamp from the PC just after trigger. Use
% timestamps from TDT hardware for higher accuracy.
%
% See also, TrigDATrial
%
% Daniel.Stolzberg@gmail.com
e =... |
7b46692c7dbe82f7c4bd710dc5485e2b392f6825020784559b647051ae5c4074 | MATLAB | 643 | 32 | function trial_type_ind = findTrialTypeColumn_SanesLab(colnames)
%trial_type_ind = findTrialTypeColumn_SanesLab(colnames)
%
%Custom function for SanesLab epsych
%
%This function finds the column index for the trial type
%
%Input:
% cellstring array of column names
%
%Output:
% index specifying the TrialType Colu... |
9559e4741a25ac70166eefe4d6e84636d43ac88717a71b248a7c6c111b1128c2 | MATLAB | 644 | 18 | function [MAP, m_h, s_h] = bern_ComputeMAPandPrediction(...
NA, NB, pNA, pNB)
% Compute posterior MAP, mean and standard deviation, using the analytical formula for beta distributions.
%
% The advantage of using conjugate distribution is that posterior estimates
% (mean, variance, MAP) have analytical solutions th... |
208611c89b14491b218a1a6d80de9914e15bedfd7889bd9f21c987fb9529233a | MATLAB | 645 | 28 |
%Author: Guanghui ZHANG
%Center for Mind and Brain
%University of California, Davis
%Davis, CA, USA
%Apr. 2024
% ERPLAB Studio
function [EEGsetIndex,EEGchanindex, ERPsetindex, ERPchanindex, ERPbinindex,erpcom]= get_studio_indexes();
erpcom = '';
EEGsetIndex= estudioworkingmemory('EEGArray');
EEGchanindex= est... |
e47352eaeba5b66c812429a3017ec401b21a8ca53cd0dc7a967c8d892da78772 | MATLAB | 646 | 20 | function[tables] = tblist(varargin)
% tblist List tables of MySQL database [mym utilities]
% Inputs name - database name, string (optional, current database default)
% Outputs tables - table names, (m*1) cell array
% Example tblist('project')
if nargin
name = varargin{1};
if ~isdbase(name... |
0c4102127c213851928264ffa762009b374d7e5eb3a74d82bc4d9edc88fcc030 | MATLAB | 647 | 21 | % Fig7_bc
% Code to generate MUA and PSTH example data from optogenetic stimulation of V6
% load MUA data from V1 and V6
addpath data
load('Fig7_bc_data.mat')
% plotting parameters
preT = 0.6; % pre-stimulus time
postT = 1.25; % post-stimulus time
Fs = 1000; % sampling rate
xlimPl = [-0.1 0.25+0.1]; % xaxi... |
282702967c06c83ab3d41be6e8f1931450fc73843588899dd6feb3fbbba469a0 | MATLAB | 649 | 19 | function [iso_surfaces_native] = extract_surface(volumes)
%EXTRACT_SURFACE extract surfaces from a cell of volumes
% create empty table to save final meshes
iso_surfaces_native = util.create_empty_table(volumes);
% extract isosurface
iso_surfaces = cellfun(@(x) isosurface(x, 0), volumes.Variables, ...
'UniformOut... |
450d7db66cd3af48be88f868fb7f9f86868d0e8d88606034189bfdd05fecb7bc | MATLAB | 649 | 26 | function t = TrigDATrial(DA,trig)
% TrigDATrial(DA,trig)
% t = TrigDATrial(DA,trig)
%
% Use with EPsych experiments
%
% Returns an approximate timestamp from the PC just after trigger. Use
% timestamps from TDT hardware for higher accuracy.
%
% See also, TrigRPTrial
%
% Daniel.Stolzberg@gmail.com
e... |
302e5f70e4f5da7dda1042edfd9998bbc71fb23cf19cc9d938225c01a43c9645 | MATLAB | 650 | 24 | function [ overlap] = TriangleIntersection( VertsOne, VertsTwo, epsilon)
%I hit some rounding errors using the distanceToPlane test. Make sure
%the bounding boxes overlap
[numVerts, nDims] = size(VertsOne);
overlap = true;
for(iDim = 1:nDims)
min1 = min(VertsOne(:,iDim));
max... |
397c3ec82bee1a9c55927493c5ecf57324bc7fc956e003e483dd724a122f7094 | MATLAB | 650 | 20 | function imageStack = imread3d(file)
%IMREAD3D Reads 3D TIFF stack
% Inputs:
% file - file name of TIFF stack
tiffInfo = imfinfo(file);
% assert(tiffInfo(1).BitDepth == 8, sprintf('%s is not in 8-bit\n convert this image into 8-bit in ImageJ first\n', tiffInfo(1).Filename))
Width = tiffInfo(1)... |
be93f4d728fef8d4b817de3de98b6b1bca6937e6edfa1bb70b87470f1ba5dda9 | MATLAB | 650 | 26 | function xydiff = anglesubtract(x, y, angleFlag)
% ANGLESUBTRACT Subtracts the matrix y from the equally sized matrix x and
% returns a value between -pi and +pi. This is valid if x and y both
% contain angular data in radians. If angleFlag is false, returns a
% non-angular subtraction.
%
% Rory Townsend, Oct 2017
% ro... |
d38169f446e4ef8a1649929986d5c6a79b1fc275f5508f4d833253d1b3d7b6fb | MATLAB | 650 | 22 | % Converts a MatLab cell array of strings into a java.lang.String array.
%
% Input arguments:
% str:
% a cell array of strings (i.e. a cell array of char row vectors)
%
% Output arguments:
% arr:
% a java.lang.String array instance (i.e. java.lang.String[])
%
% See also: javaArray
% Copyright 2009-20... |
f786048a979e46e3c69b8a34f2aa571d69ffbff5119ee64e41bcdeb105d6df36 | MATLAB | 650 | 23 | function [fpr, fnr] = compute_error_rate_adjmat(gRefMat, gcMat)
% function [fpr, fnr] = compute_error_rate_adjmat(gRefMat, gcMat)
%
% compare the GC network gcMat to the groundtruth gRefMat, and
% output the false positive rate (fpr) and the false negative rate (fnr)
nNodes = size(gRefMat,1);
gRefMat = gRefMat - d... |
1edee26a1b564d9ad73d946e08787f6dc21ab42d6e231313daa3ea7f1c8d7407 | MATLAB | 651 | 33 | function Dab = adj_spect_dist(aij,bij,nComps,minkp)
% adapted from:
% https://github.com/aiavenak/matlab_code/blob/master/f_lap_dist.m
if nargin < 3
nComps = 0 ; % if 0, all components
end
if nargin < 4
minkp = 2 ; % 2 -> euclidean distance
end
if nComps > 0
e_opts.tol = 1e-8;
e_opts.disp = 0;
e_o... |
173fbeece2f244c54dc11aa5bd7d00fbbb1ec8522db3804b0d7871ac5e26a52c | MATLAB | 652 | 27 |
function [CI_dp, CI_c] = getdprimeBootCI(nHits, nMiss, nFalseAlarms, nCorrectRejections)
nReps = 10000;
alpha = 0.05; %alpha value
rng(1,'twister');
isHit = [ones(1,nHits) zeros(1,nMiss)]';
isFalseAlarm = [ones(1,nFalseAlarms) zeros(1,nCorrectRejections)]';
n1 = numel(isHit); %sample size 1
n2 = nu... |
5c8e9e12fd010c2a96087fdf4015cb80fed07d7db2d4d8e179de88035037ac83 | MATLAB | 653 | 26 | function handles = initializeTrialDelivery_SanesLab(handles)
%handles = initializeTrialDelivery_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function initializes the GUI with trial delivery paused, and the
%apply button disabled.
%
%Inputs:
% handles: handles structure for GUI
%
%
%Written by ML C... |
b0979e4f7182280f4f5798694c18fb23c149e398b72aae1e49f4467601ad8704 | MATLAB | 653 | 36 | axis = [0 0 1];
points = [0 0 0;
1 0 0;
0 1 0;
0 0 1;
-1 0 0;
0 -1 0;
0 0 -1];
disp('Test no rotation')
identity_rotmat = RotationMatrix(0, axis);
identity_pts = points * identity_rotmat;
assert(all(all(points == identity_pts)));
disp('Test Z 90 degree r... |
0ac053f21af01f1de595d4f3cbe4f9511dbfed6a2e194721088b9969cac0f118 | MATLAB | 654 | 18 | function plot_first_cross(model)
[epi, endo] = import_nerve(model, 'hide_plots');
load(model.paths.fibersCross, 'fibersPerFascicleCross', 'startCross');
for iFasc = 1:numel(fibersPerFascicleCross)
idCross = startCross(iFasc);
figure;
hold on;
plot(epi{idCross}(:,1), epi{idCross}(:,2),'k');
b... |
298d00f4d61a207f98f708f006e2f82ef6b795c8b2f60154f1fd17ecace05d85 | MATLAB | 655 | 16 | function sr = analyzetpstack_emptyslicerec
% ANALYZETPSTACK_EMPTYSLICEREC - Empty slice record structure for analyzetpstack
%
% EMPTYSLICE = ANALYZETPSTACK_EMPTYSLICEREC
%
% The slice structure EMPTYSLICE has fields
% dirname : the name of the directory
% depth : ... |
85720acfeb496772e9113ef11d5fcaa4b0524cb4fffbdfcd16fb673454d466c3 | MATLAB | 656 | 18 | function [idx_by_module, module_idx] = sort_by_module(region_names)
%SORT_BY_MODULE
region_names = region_names(:)'; % get the row vector
module_idx = modularity.get_frequent_partition();
% Sort the order of the regions in the modules to match the matrix
[~,idx] = ismember(region_names, ...
module_idx.Properties.V... |
e334579a89a864fa6eface051018fd957123a956a21dd09255e518e67e74fa0d | MATLAB | 656 | 27 | PFC = []
CA1 = []
joint = []
%%
figure;hold on
% plot ((PFC./PFC(:,2))','-ob')
% plot ((CA1./CA1(:,2))','-or')
% plot ((joint./joint(:,2))','-og')
m1 = nanmean((PFC./PFC(:,2)))
m2 = nanmean((CA1./CA1(:,2)))
m3 = nanmean((joint./joint(:,2)))
e1 = nansem((PFC./PFC(:,2)))
e2 = nansem((CA1./CA1(:,2)))
e3... |
82ac1762ad658a80b52aa4169c6d886737cb2488d77cb7d6eeb5c1ef4c880c40 | MATLAB | 657 | 18 | function ret = crosscorr(array1, array2)
%disp('run this you want');
% function ret = crosscor2(array1, array2)
% Computes 2D crosscorrelation of 2D arrays
% Function returns DOUBLE type 2D array
% No normalization applied
array1 = double(array1);
array2 = double(array2);
array1 = array1 - mean(array1(:));
arr... |
0d0b2d5154183358b17adb44789d7af9c35a13313d2a2baa8aee32e79c625a0c | MATLAB | 658 | 24 | function qtiplus_invariants2nii(invariants, nii_h)
% function qtiplus_invariants2nii(invariants, nii_h)
%
% writes the invariants in the structure into nifti file and attaches
% the specified nifti header
invs = fieldnames(invariants);
n = length(invs);
nii_h_mod = nii_h;
nii_h_mod.ImageSize = horzcat(nii_h.ImageSize,... |
b537c182f3a29acf5236d7b016f4c97a7b2303cc732d3e490bd0a3aa6778ab3d | MATLAB | 658 | 23 | function [ Structs, Locs, LocLinks ] = FetchLocalData(path)
%FetchData - Collect data from a database
Structs = [];
Locs = [];
LocLinks = [];
Struct_filename = fullfile(path,'structures.txt');
Locations_filename = fullfile(path,'locations.txt');
LocLink_filename = fullfile(path,'loc... |
90d396388509d97b0309d72e8ab23ab45b93ede527ba6b6285fc60de10765fe4 | MATLAB | 659 | 23 | function Z1=JSD2_combined(parameter, parameters)
% Function calculates the JSD from a given parameter set to a uniform
% distirbuiton
Liley_params;
for i=1:length(parameters)
ii=parameters(i);
range=[lb(ii) ub(ii)];
pts=linspace(range(1),range(2),100);
[kk1(i,:),x1]=ksdensity(parameter(:,ii),pts... |
95c66ef915a5228a256fc0130fca195758d8177123fc516bc5a55d72a28f8451 | MATLAB | 660 | 38 | function x = pollFastrak3(s,FZero,state)
% x = pollFastrak3(s)
%
%
% See also startFastrak, endFastrak
%
% Stephen Gordon 2016
timeOut = 2;
flushinput(s);
fprintf(s,'P');
pause(0.01)
noData = 0;
c = clock;
while s.BytesAvailable < 47
noData = etime(clock,c) >= timeOut;
if noData, break; end
pause(0.001)
... |
f58532b262ea148028686554b4a91d07f321335d9663ec060a10999c8dade759 | MATLAB | 660 | 21 | function [patches] = display_multiple(iso_surfaces, colors)
%DISPLAY_MULTIPLE display multiple isosurfaces in one figure
% isosurfaces: Table or cell. With cell you have to provide the colors
% yourself
if ~exist('colors','var') || isempty(colors)
region_info = util.get_region_info();
regions = iso_surfaces.Pro... |
19bb1dc5b1c28edde3c70e8e47a65ea6a0968e16becc96e7351b2409eebe641d | MATLAB | 661 | 37 | function tphotonnoiseanalysis(filename, line_num,line_list);
% line_num = 367 for mouse-2014-07-11-t00002-001.tif
% line_num = 112 for testpollen.tif
lines = [];
for i=1:675,
tf=imread(filename,i); lines(i,:) = tf(line_num,:);
end;
figure;
image(lines);
colormap(gray(2048));
figure;
plot(lines(:,line_list(1)... |
ae406a589e5af4b2c82668d3bb69d920fd1d2df7305c22d1f994ce748061b152 | MATLAB | 664 | 12 |
function exitSubApp(app)
quitAnswer = uiconfirm(app.MainWindow,'Are you sure you want to quit?','Confirm close','Options',{'Yes','No'}); %ask user if sure they want to quit
if strcmp(quitAnswer,'Yes') %if user answer was 'Yes', do the following:
call_to_NIDAQ(app.CallingApp,'end'); %indicate in record... |
bee70093ea5a96b85437ac1ec4fa131bbdcf96a0a9f7609c01cfa6bb01559670 | MATLAB | 664 | 27 | function add_general_text(w, str_to_disp, xpos, ypos, formatted_text,...
center_txt, txt_col, backgrd_col, yPositionIsBaseline)
% Draw text on a screen with the Psychtoolbox.
if nargin<9
yPositionIsBaseline = 0 ;
end
if nargin<8
backgrd_col = 0 ;
end
if nargin<7
txt_col = 255 ;
end
if nar... |
14b3d3a8ee80e9539ddf89546f64fd9eaf1f83eb676c6be3b42cd293f2d3afe0 | MATLAB | 666 | 34 | function self = LoadData(self, varargin)
p = inputParser;
addOptional(p, 'IncludeFeatures', true);
parse(p,varargin{:});
inclFeats = p.Results.IncludeFeatures;
verboseLvl = self.ConfigFile.GetParams('VerboseLevel');
if verboseLvl > 1
fprintf(' Loading clip data... \n')
end
clipT = self.ClipTable;
if inclFea... |
4d0a142ec55eb7a5fb1536ae02a61a8132dc538bee04eb3535f667b0e84273e9 | MATLAB | 666 | 17 | function FP = compute_fp_from_path(res_list, img_size)
% This function compute a fingerprint from a list of noise residuals.
% INPUT:
% res_list A list of residual file paths
% img_size residual dimension
% OUTPUT:
% FP The fingerprint by simply averaging the noise residuals.
Noise_sum = zeros([img... |
663c5b5674267ef22764ec6d97394a84fc038d76bef763ad9cc8100dfc1d6779 | MATLAB | 666 | 32 | function tanklist = TDT_RegTanks(TT)
% tanklist = TDT_RegTanks % creates temporary connection to TTank.X and then closes it
% tanklist = TDT_RegTanks(TT) % uses established TTank.X connection (TT)
%
% Returns list of registered tanks.
%
% DJS (c) 2010
c = false;
if ~exist('TT','var') || isempty(TT)
T... |
db1703ad3e31d0261d70e2834c4da8b606ebf91112751f6650f4896f4a7c3c72 | MATLAB | 666 | 40 | function [f,g,h] = softrec(lambda)
xx_g = lambda > 30;
f = lambda;
f(~xx_g) = log1p(exp(lambda(~xx_g)));
if(nargout > 1)
g = ones(size(f));
g(~xx_g) = 1./(1+exp(-lambda(~xx_g)));
if(nargout > 2)
h = g.*(1-g);
end
end
% f = arrayfun(@sr_0, lambda);
% if(nargout > 1)
% g = arrayfun(@drs_... |
e2d29c9fd8b6a0a39d4c7356165d65dc9f4e6dc6fa90622621d147d1cac6fd29 | MATLAB | 666 | 27 | function [pp, eb] = plotLineWithErrorRegion(ax, tts, y, eb_1, eb_2, color_c, lw, ls)
if(nargin < 6 || isempty(color_c))
color_c = [0 0 0];
end
if(nargin < 7 || isempty(lw))
lw = 1;
end
if(nargin < 8 || isempty(ls))
ls = '-';
end
eb_y = [eb_1(:); eb_2(end:-1:1)];
eb_y(isnan(eb_y)) = 0;
y(isnan(y)) = 0; %f... |
67465c656b2afab9623758185c4118166c61ebc20a6f5421be9b050338167251 | MATLAB | 667 | 34 | function [] = plot_smokey(xvals,yvals,ystd,color1,color2,plotpattern)
if nargin < 4
color1 = [0.5 0.5 0.5] ;
end
if nargin < 5
color2 = [0.75 0.75 0.75] ;
end
if nargin < 6
plotpattern = [ 1 1 ] ;
end
if ~any(plotpattern)
error('need to plot something yo')
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
89c8c08170d09fd7b3b611a4182633110bd57e198ebe329e77a9c522ba678da2 | MATLAB | 667 | 22 | function [ Data, mainFolder, CSV_filepaths] = Load_data ()
mainFolder = uigetdir(); % Select your Main folder
[~,message,~] = fileattrib([mainFolder,'\*']);
fprintf('\n There are %i total files & folders.\n',numel(message));
allExts = cellfun(@(s) s(end-2:end), {message.Name},'uni',0); % Get exts
CSVidx = ismemb... |
bb0d69cfcdb20904062dfaf1077b5768bdd890b4c13ca6eb54c52b85dc7bb87c | MATLAB | 668 | 17 | function h = scree_plot(lambdas)
% SCREE_PLOT Plot of the scaled eigenvalues.
%
% h = SCREE_PLOT(lambdas) plots the eigenvalues corresponding to a
% gradient. Lambdas are scaled to a sum of 1. All graphics objects
% created are stored in structure array h.
%
% For more information, please consult our <a
% ... |
c83320a5e7abcce1b75f8f3c7f47634325c1d7b0b6761c01e24e51ad3a40b329 | MATLAB | 670 | 23 | function [newmask, goodinds] = removesmallspots(labeledmask, minsize)
% REMOVESMALLSPOTS - Remove small spots from a labeled mask
%
% [NEWMASK, GOODINDS] = REMOVESMALLSPOTS(LABLEDMASK, MINSIZE)
%
% Removes discrete pixel blobs that are smaller than MINSIZE. The input
% MASK should be labeled, such as with BWLABEL. ... |
9f6f70d0a9831e0a38ae417591995a9ef0e2706cddcd8563f0bad10f34570e48 | MATLAB | 674 | 27 | % Converts a MatLab array into a java.util.ArrayList.
%
% Input arguments:
% array:
% a MatLab row or column vector (with elements of any type)
%
% Output arguments:
% list:
% a java.util.ArrayList instance
%
% See also: javaArray
% Copyright 2010 Levente Hunyadi
function list = javaArrayList(array)... |
c40d218ad9b7a980aaa921f1ee8325764e31d102f4fe9d8320dead9a45c06882 | MATLAB | 674 | 27 | function x = correctAzi(FASTRAK)
% x = correctAzi(FASTRAK)
%Corrects azimuth based on translations of the head
%
% See also pollFastrak2, pollFastrak_InTrial2
%
% Stephen Gordon 2016
x = FASTRAK;
sideB = 100;
sideA = sqrt(FASTRAK(9)^2 + FASTRAK(8)^2);
if sideA < 0.5 || abs(atand(FASTRAK(9)/FASTRAK(8)) - FASTRAK(5)... |
3c46705e5aeb38be8ce7afc273ad65473892f943519c3215d5c784430399b8a1 | MATLAB | 676 | 23 | function [resultData]=jnh_FreqFilter(data,SDthreshold,Fs)
%Copyright 2017, JN Hansen
%data must be a two dimensional matrix
%% filter by SD value - TODO only filter out if out of range
resultData = zeros(size(data,1), size(data,2));
for i=1:size(data,1)
for j=1:size(data,2)
if(j==1||i==1||j==size(data,2)||i... |
42ce09c358217a865db3d8e89d2b9df561b52c6fadba663db7b8889a590be9fb | MATLAB | 678 | 14 | function res = psignifitFast(data,options)
% this uses changed settings for the fit to obtain a fast point estimate to
% your data.
% The mean estimate with these settings is very crude, the MAP estimate is
% better, but takes a bit of time for the optimization (~100 ms)
warning('You use the speed optimized version o... |
8ead79da4592ec0c73c86a23237cf327a206aa48327609c4002fef0d9a7b52b6 | MATLAB | 678 | 19 | function [Tcutout,cutout]=SelTimesCohereogram(twin,Tmtx,data,tRange)
% Select specified time range around trial periods from continuous data in
% workspace
%
% Aleksander PF Domanski PhD UoB 2016
% aleks.domanski@bristol.ac.uk
% Tmtx=Tmtx(1:end-1);
cutout=cell(1,length(data)); Tcutout=cutout;
%len_ = [];
... |
3799d1d3f4c157d43d5a649ed73d7f0548ecb3e17faa1afd8e5528359b05d136 | MATLAB | 679 | 34 | function [L,Fr] = video_luminance(videofile)
% Function calculates luminance of a video input.
% Luminance (L) is returned for every video frame. Fr is video frame
% rate
%
%
% "Luminance" is approximated as rgb2hsv transformation where
% Luminance ~ V = max{R,G,B}
%
% Severi Santavirta
%% Video
try
obj = VideoR... |
8857455ee62443c610e5322f374a54571be61abd0c2997c8e8b4ccb8d51a1b1e | MATLAB | 679 | 38 | function h = drawPerformance_CDF(X, ax, color)
if isempty(X)
h = nan; return
end
% Get signal levels
attns = unique(X.Atten);
nAttn = numel(attns);
% Preassign
N = zeros(1, nAttn);
Y = zeros(1, nAttn);
C = zeros(1, nAttn);
% Get performance
for j = 1 : nAttn
rows = X.Atten == attns(j);
N(j) = ... |
a887e17ffe70a315b142b7feb0d984ef88112dccfeccfa318861bd50e671b72f | MATLAB | 679 | 21 | function [regions_T] = select_hemi_regions(T, region_names, hemisphere)
%SELECT_REGIONS select a set of regions within a hemisphere in the beta
%data table
% INPUT:
% T: the beta data table with region_names and hemisphere information
% region_names: a cell string array with the name and order of ROIs
% hemispher... |
3bd9898ead09ca4129f654cc9ac11ce5adb8da0ecd386d91acc030994a4d7ec9 | MATLAB | 684 | 26 | function [vtxs,nvtxs] = fs_read_label(labelf)
% [vtxs,nvtxs] = fs_read_label(labelf)
%
% Reads the indices of the vertices of a Freesurfer's label.
%
% Input
% labelf: A Freesurfer's label file.
%
% Output
% vtxs: Indices of the vertices (1-based).
% nvtxs: The number of vertices in the label.
%
% $Revis... |
5b4069e18b659971058529ee92723f6734c205e71f40573db5fd7354d964c91a | MATLAB | 684 | 18 | function FP = compute_fp_from_path(img_list, img_size, fp_path)
% This function compute a fingerprint from a list of noise residuals.
% INPUT:
% res_list A list of residual file paths
% img_size residual dimension
% fp_path the path saves the computed fingerprint
% OUTPUT:
% FP The fingerpr... |
ae3cefbccba26b613558a19b7999a5937313a96ba4545a2b4e5c76a27fe9e872 | MATLAB | 684 | 23 | function [volume,row,col] = read_stack(img,depth,beginning_index)
%READ_STACK reads the 3D tif forwardly from the beginning_index and for depth stacks
% [volume,row,col] = read_stack(img,depth,beginning_index);
% Inputs:
% img - file to read
% depth - number of slices to read
% beginning_index - b... |
c5210247974dea13e756c7fabc35530e500c6e255f199a8c811d653f4bcd07d9 | MATLAB | 685 | 24 | % Filters matrix of signals using butterworth filter
% Filters across rows (i.e. rows = channels)
% If two frequencies provided, default to bandpass. If only one frequency,
% must specify whether high or low pass.
function [filtered_signals] = filter_butter(signals, freq, sample_rate, filter_order, varargin)
n... |
fa5152bb44bf81771f6989151bb06f4099e0aeab60b94aec9f3dfa65b91df481 | MATLAB | 685 | 33 | function RUNTIME = ep_TimerFcn_Stop(RUNTIME,AX)
% RUNTIME = ep_TimerFcn_Stop(RUNTIME,DA)
% RUNTIME = ep_TimerFcn_Stop(RUNTIME,RP)
%
% Default Stop timer function
%
% Use ep_PsychConfig GUI to specify custom timer function.
%
% Daniel.Stolzberg@gmail.com
% Copyright (C) 2016 Daniel Stolzberg, PhD
% not... |
d61e357710be7e2e6031d960fdd2e8a91bc3e0a5d9ddc9e2f11c7ed59fb69c1c | MATLAB | 686 | 15 | function stimulationParameters = compute_stimulation_parameters(spindleActivation, recruitmentCurve)
% Input:
% spindleActivation is a table with columns 't' [s], 'Recruitment' [%], and FiringRate [Hz]
% recruitmentCurve is a table with columns 'Charge' [nC] and 'Recruitment' [%]
% Output:
% stimulationParameters is a... |
61465603d8aed16ec4520e62371d2403a1a599bd64e57946fb26826e44f01e6b | MATLAB | 688 | 31 | function [chk, msgboxText] = f_ERP_chckerpindex(ALLERP, SelectedIndex)
chk=0;
msgboxText = '';
ALLERPinx = [1:length(ALLERP)];
if isempty(SelectedIndex)
msgboxText = 'You have not specified any ERPset';
chk = 1;
return
end
if any(SelectedIndex<=0)
msgboxText = sprintf('Invalid ERPset index.\n Pleas... |
8a76740e9f7024c1f155eefcd87a1f9467fedc3b862ac3e9c42d8a9532f29601 | MATLAB | 688 | 21 | function [paramStruct_rescaled] = rescaleParamStruct(obj, paramStruct, scaled_WB, scaled_VT)
paramStruct_rescaled = paramStruct;
J = numel(paramStruct.Groups);
for jj = 1:J
S = numel(paramStruct.Groups(jj).T);
if(scaled_VT(jj))
params_0 = obj.GMLMstructure.Groups(jj).scaleParams(paramStruct.Groups... |
4618fcfbfa0565594e6dcd6f52520fffee1bc873e222b431f6eb177845d4cc89 | MATLAB | 689 | 23 | function TRIALS = TrialFcn_externalStim_SanesLab(TRIALS)
global TONE_CAL NOISE_CAL STIM_FILES
%If it's the start
if TRIALS.tidx == 1
%Load tone calibration file
[fn,pn,fidx] = uigetfile('C:\gits\epsych\UserFiles\SanesLab\SpeakerCalibrations\*.cal','Select tone calibration file');
noise_calfile = fullf... |
1b37f127c83dd2a936f81055cfc14d26239835f9df0d3f0dc50ed597c47e4c97 | MATLAB | 692 | 24 | function t = zBUS_trig(DA)
% t = zBUS_trig(DA)
%
% This will trigger zBusB synchronously across modules
% Note: Two ScriptTag components must be included in one of the RPvds
% circuits.
% The ZBUS_ON ScriptTag should have the following code:
% Sub main
% TDT.ZTrgOn(Asc("B"))... |
8e68143571af95ec56ca93bc5873896d3623041008ef0dd29f8f4cc9d80467ca | MATLAB | 692 | 22 | function [populations_tertiary_motor] = ...
get_motor_fascicle_tertiary_pop(idFascicles, fibersCompart, numDisp)
% output initialization
populations_tertiary_motor.IIIFiberId = {};
% Generate Random seed for populations
rng('default');
for iFasc = idFascicles
for iDisp = 1... |
1d1f556c2e6c03e2a722a6baf85690949047d7e7fe8339c349881871c104d091 | MATLAB | 695 | 28 | % Add paths to the different toolboxes at the beginning of a session
% VBA toolbox for Bayesian model selection.
% https://mbb-team.github.io/VBA-toolbox/
addpath(genpath('./VBA-toolbox'));
% EEGLAB functions useful to do the scalp plots
addpath(genpath('./topoplots')) ;
% Perceptually uniform colormaps
a... |
c549f6ebbedcc754df5153b5a0c040f8a31af82ede3ef297d3c24eb251fb026a | MATLAB | 695 | 35 | function Y = LDAproj(data,Labels)
% function Y = LDAproj(data,Labels)
J = func_LDA(data,Labels,'element');
t=size(J,1);
%J=kmeans(data,3);
%T = 20; %clusters
N=300;
if t<N
N=t;
end
range=1:3:N;
L=1:length(range);
clust=zeros(size(J,1),length(range));
for j=L
clust(:,j)=kmeans(J,range(j),'MaxIter',1000);
end
e... |
cf10b3afc5e77e93baeb6ea6298527451902a46010d75a864f4adeabe693a821 | MATLAB | 695 | 22 | function CreateCommonGeometryColladaFile(Path, FileName)
%CREATECOMMONGEOMETRYCOLLADAFILE Summary of this function goes here
% Detailed explanation goes here
if(~isempty(Path))
if(Path(end) ~= filesep)
Path = [Path filesep];
end
end
TargetPath = [Path FileName];
DO... |
07da9e21b5891f100357c294125783c0033c82989ccc2c1cf3fbc32221afb4e5 | MATLAB | 696 | 20 | % part of https://github.com/LudgerS/MRSartifactRemoval
%
% Normalized dispersive Gaussian curve
% follows
% "Dispersion corrections to the Gaussian profile describing the Doppler
% broadening of spectral lines"
% S. Wojtewicz, P. Wcis?o, D. Lisak, and R. Ciury?o
%
% lineShape = 2/fwhm*1/sqrt(log(2)*pi)*...... |
b2ee9c021e312abe85813aab5d367c71012aab7283bfd40551ca9c14f718a586 | MATLAB | 696 | 25 | function [pgonEpi, pgonEndo, pgonElec, geomAS] = nerve_cross_section(model, args)
arguments
model (1,1) Model
args.iActiveSites = []
args.projectAS = false;
end
[~, activeSites] = load_active_sites(model.paths);
if isempty(args.iActiveSites)
activeSitesSel = activeSites;
else
activeSit... |
9d374557def7f83aafbd6ebc1be57668c5ec407334ba4bef750d3ed73fdb807e | MATLAB | 698 | 20 | % PURPOSE: uiputfile that leaves the calling window in front
%
% FORMAT:
%
% [filename, pathname, filterindex] = erplab_uiputfile(...)
%
% Takes and returns exactly what uiputfile does. The only difference is that the
% windows that were in front before the dialog opened are raised again afterwards,
% so a nested GUI s... |
b3c009e21bd7acdb41d18fac4509b01740a9750a4116b3176a40bfdcd6c3c5a4 | MATLAB | 698 | 32 | %% A function replacing MATLAB's dir
% Returns a listing of files in a directory, not including '.' and '..'
% (these are returned by the library version of the function dir).
%
% 3 December, 2021
function listing = dir2(varargin)
if nargin == 0
name = '.';
elseif nargin == 1
name = varargin{1};
else
e... |
fa8ca7a97d89460b81c9a496e614ff7f850be6f4e27a8bca902d7ae33c748155 | MATLAB | 698 | 20 | % PURPOSE: uigetfile that leaves the calling window in front
%
% FORMAT:
%
% [filename, pathname, filterindex] = erplab_uigetfile(...)
%
% Takes and returns exactly what uigetfile does. The only difference is that the
% windows that were in front before the dialog opened are raised again afterwards,
% so a nested GUI s... |
542b0830089fc6c384fd662c9ce5311b7ab1206d78bf9679557c99a58167b126 | MATLAB | 699 | 32 | %%
tank = 'DILL_MU_Map';
channels = 1;
block = 'Block-46'; % latest block if empty
fcn = @SCRATCH_OnlineFRF;
T = timerfind('Name','ONLINETIMER');
if ~isempty(T), stop(T); delete(T); end
T = timer( ...
'BusyMode', 'drop', ...
'ExecutionMode','fixedRate', ... |
3003136eae6fd803975d2bb7be46efcd9c0b4b1e7db4b29221967eca879c4948 | MATLAB | 700 | 26 | %% A personal function for saving figures into specified formats (such as colour eps).
% f is the handle of the figure to save
% filename is the name to give the file without the file extension
% extension is the file format in which to save the figure
function savefigas(f,filename,extension)
% Check if the chosen ex... |
a8834128945fa0028f636bbc1a2320f8401b0ab9058b8897cabfea5bf6b14e35 | MATLAB | 702 | 27 | function f = findFigure(tag,varargin)
% f = findFigure(tag)
% f = findFigure(tag,PROP1,VALUE1,PROP2,VALUE2,...)
%
% Find the handle to a figure by it's tag property.
%
% If a figure by the provided name does not exist, one will be created with
% that name. Optionally, figure property-value pairs can be specifie... |
d1eaceb9e80a0187c2989d469faad31e2968b160518faff077c5238bf2b9f63f | MATLAB | 702 | 21 | function [N_points_vox,v_vox,N_faces_vox,f_vox]=readvoxel(name)
fileID = fopen(name,'r');
format='%s %f %s';
data = textscan(fileID,format,1,'HeaderLines',4,'Delimiter',' ','CollectOutput',1);
N_points_vox=data{1,2};
%save points
format=' %f %f %f';
data= textscan(fileID,form... |
2ff10e63b52a32f5086754dba52b4be122f81c7450720e16f1995165db77bee9 | MATLAB | 703 | 14 | %-----------------------------------------------------------------------
% Job saved on 18-Jun-2022 17:06:39 by cfg_util (rev $Rev: 7345 $)
% spm SPM - SPM12 (7771)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
clear matlabbatch
subjfolder = dir('F:\fMRI_QC\fm... |
c958eb37e094df1bab357bf6ada8f912c6f2826f267d5ed9f094de950af41f9d | MATLAB | 703 | 27 | function [Fp, overestimate] = computeISIViolations(st,tauR,tauC)
%%% From Hill et al., 2011
N = numel(st);
T = st(end) - st(1);
a = 2 * (tauR - tauC) * N^2 / T;
r = sum(diff(st) <= tauR);
if r == 0
Fp = 0;
overestimate = 0;
else
rts = roots([-1, 1, -r / a]);
... |
5182c3d86632379a9dc69983a04640344f070a234775c5010f39d5fa487650ba | MATLAB | 704 | 37 | %inspect patterns used in RSA
if 1
clear all
%load saved rdm data
rdmPath = '/data/hammer/space2/mvpaGoals/data/golsaRSA/';
rdmFile = '19-Oct-2017.mat';
load([rdmPath rdmFile]);
layerNames = fieldnames(rdm);
end
%assumes rdm and patternData use same order of field names
layerName = 'state';... |
c16708f9fc7ac41c4a7bca82980681d1a1abcba69d0e5e5ed812ff25d59840e0 | MATLAB | 705 | 36 | function [ angle, axis ] = AngleAndAxis( V1, V2 )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
if(V1 == V2)
angle = 0;
axis = [0 0 1];
return;
end
N1 = V1 ./ norm(V1);
N2 = V2 ./ norm(V2);
%Supposedly more precise than acos(dot(N1,N2)) near multiples of PI
angle = ... |
33cf67ff2606dbd875b1d5dafa4316cf739e233db3d4ed611342b16feccff2c9 | MATLAB | 710 | 23 | % part of https://github.com/LudgerS/MRSartifactRemoval
function areas0 = getAreaStartingValues(spectrum, frequencyAxis, centers0, FWHMs0)
freqResolution = frequencyAxis(2) - frequencyAxis(1);
areas0 = zeros(1, numel(centers0));
for ii = 1:numel(centers0)
cutPeak = spectrum((frequencyAxis > (cent... |
57b4900750bbc908edfe2449803e483eff4d9f61d5564dd422caaed241eadb0d | MATLAB | 710 | 24 | function t=Vec2Dof(dim,t,auxT)
%% Transforms vector of tractions in array format (values of tractions
% for each dof) into dof format:
% t=[node direction[1,2,3] value]
% INPUT:
% auxT = array with displacement dof for each traction value
% auxT(i)=displacement dof of traction in t(i)
% t = a... |
7b95d5d2eabd94d4fd669b64cdc0f0ec1a7a8cb8c227629a11c04f76be109a06 | MATLAB | 710 | 13 | function [VsTimeintAnim_Perc]=VStimecourse(VsTimeintAnim,numint,int)
%%% get procentual data %%%
VsTimeintAnim_Perc=NaN(4,numint*5,size( VsTimeintAnim,3));
VsTimeintAnim_Perc(1:3,:,:)=( VsTimeintAnim(1:3,:,:)/(int*60))*100;
VsTimeintAnim_Perc(4,:,:)=( VsTimeintAnim(3,:,:)./ (VsTimeintAnim(2,:,:)+VsTimeintAnim(3,:... |
adc604481a0d2b31c6ed30ac26877d6d75d853d61706c71f2b90dc8b98a4044a | MATLAB | 710 | 15 | %%% download data file : "Fig7_PartialCorrelation_example.mat"
%%% download code: "MR_Heading.m" and make sure it is included in the Matlab path
for k=1:size(Spike_rate_relative,1) %%% 1:vestibular, 2:visual
tmpp = cell2mat(heading_regr(k,:))';
XX{k}(:,1) = tmpp./sqrt(sum(tmpp.^2)/length(tmpp));
XX... |
5f26c5e1ed4d718c69a9eeb9c6a733ad2a360ffc09fac3ee0fd9f263f09bc1ab | MATLAB | 711 | 15 | function writeplxdata(plx_id,ch,freq,ts,units,npw,wave)
% now the spike waveforms, each preceded by a PL_DataBlockHeader
n = length(ts);
for ispike = 1:n
fwrite(plx_id, 1, 'integer*2'); % type: 1 = spike
fwrite(plx_id, 0, 'integer*2'); % upper byte of 5-byte timestamp
fwrite(plx_id, ts(... |
fd2fe17fd71942cc5fbdc81abb368c0442cda5b867c86aa16aecf2ecfc2856a5 | MATLAB | 711 | 34 | function [circ] = circle(info, prec, closed)
% CIRCLE Creates a circle from center point and radius.
%
% [circ] = circle(info, prec)
%
% Inputs: - info: vector containing xc, yc and radius
% - prec: number of points for circle
% - closed: close the shape (default true)
% Output: - circ: ... |
3096be7dc166af5059dfdf9f8c62588f47d58b84f8e6a750f1d4c2f260e7fdc6 | MATLAB | 712 | 34 | function [D] = mydiv2d(PX,PY)
[m,n] = size(PX);
D = zeros(size(PX));
L = zeros(size(PX));
for yi = 2:m
for xi = 2:n
dvx = PX(yi,xi) - PX(yi,xi-1);
dvy = PY(yi,xi) - PY(yi-1,xi);
D(yi,xi) = dvx + dvy ;
L(yi,xi) = L(... |
23a0fba09736c4cbf8fd2f32e31fa33a07187886b4d85fb658be2204c3b25961 | MATLAB | 714 | 40 | function x = pollFastrak2(s,FZero)
% x = pollFastrak(s)
%
%
% See also startFastrak, endFastrak
%
% Stephen Gordon 2016
timeOut = 2;
flushinput(s);
fprintf(s,'P');
pause(0.01)
noData = 0;
c = clock;
while s.BytesAvailable < 47
noData = etime(clock,c) >= timeOut;
if noData, break; end
pause(0.001)
end
tr... |
b01de1632d2699fe9d76058f8f49ddfb5c291d291c9fb6b6cda290054f7ce99a | MATLAB | 714 | 24 | folder = uigetdir(get_conf().solutionsDir);
choice = questdlg('Do you want to clear solutions and meshes?', '', 'Yes', 'No', 'Yes');
clearModel = strcmp(choice, 'Yes');
comsol_connection();
modelFiles = dir(fullfile(folder,'**', '*.mph'));
[~, i] = sort([modelFiles.datenum]); % Sort by last modified date
mod... |
417d5a74d548a90d6600f505c5096fed76f4cbc566c0ba79bc5b88b3361777be | MATLAB | 715 | 22 | function out = slice_stl(in, planeP, planeV, roundPrec, solid)
arguments
in % Triangulation or filename of stl
planeP (1, 3) % Point in plane, if given scalar it is auto-broadcasted to vector
planeV (1, 3) = [0, 0, 1] % Vector perpendicular to plane
roundPrec (1, 1) = 3 % Number of decimals to c... |
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