sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ad911c068a1bdd0068f3e1f35b5197c633c384c2614bc14d4bf831e27a47034b | MATLAB | 290 | 17 | % - This function is part of ERPLAB Toolbox -
%
function ind = beh_scripts_good_cells(mycell)
% Find good cells
if ~iscell(mycell)
mycell = {mycell};
end
ind = cellfun('isempty', mycell);
% Good cells
ind = (ind == 0);
% Convert ind to row vector
ind = ind(:)'; |
232594f8aca28f1c65e7581c0e653cb09241837cb31f36a1eef114b15adafc79 | MATLAB | 291 | 11 | function physicsTag = find_physics_tag(FEM, baseTag)
physicsTags = cellstr(string(FEM.physics.tags));
match = matches(physicsTags, baseTag + digitsPattern(0, Inf));
if any(match)
assert(sum(match) == 1);
physicsTag = physicsTags{match};
else
physicsTag = [];
end
end
|
46b75d5fd9fdeafb418d3229299aa19d788a3dd6cbb83afa5c1dad6285260239 | MATLAB | 291 | 13 | function Allman_TOJ_2AFC_Launch
global RUNTIME
for i = 1:RUNTIME.NSubjects
fobj = findobj('type','figure','-and','name',sprintf('TOJ Box ID: %d',RUNTIME.TRIALS(i).BoxID));
if ~isempty(fobj), close(fobj); end
Allman_TOJ_2AFC_Monitor(RUNTIME.TRIALS(i).BoxID);
end |
c27aacb80bc839d7609a3047fbb6920280f45ad41da1b09f6f125a80c4e28ac2 | MATLAB | 292 | 9 | function model = select_and_load_model()
%LOAD_MODEL Summary of this function goes here
% Detailed explanation goes here
[nerveModel, electrodeType, electrodePlacement, paramSet] = select_model();
model = Model.load(nerveModel, electrodeType, electrodePlacement, paramSet);
end
|
f61a1efa46b71c58276fd7f11b5434eaa4643c1ecc4d8ff53139d8fb2c9c7bb3 | MATLAB | 292 | 9 |
function display_instructions(window,fontSize,instructions)
Screen('TextSize', window, fontSize);%use a big font size
Screen('TextStyle', window,0);%normal
DrawFormattedText(window, instructions, 'center', 'center', [0, 0, 0]);
Screen('Flip', window);
KbStrokeWait;
end |
5700ac00d1806efe7d6869b363e1998681834408c402cb43afc4e293346fc9ce | MATLAB | 293 | 12 | function [im,fname]=tpreadframe(dirname,tpfileparams,cycle,channel,frame)
%TPREADFRAME
% read frame from single tiff
%
% 2008, Alexander Heimel
%
fname=fullfile(dirname,tpfilename(tpfileparams,cycle,channel,frame));
im=imread(fname);
if length(size(im)>2),
im = mean(double(im),3);
end;
|
d87d5ba4716332dd4a5ffd0d4dd4bc1eba7e6a0d1bbf87b4c4efa076cb7efa21 | MATLAB | 294 | 9 | function fname=tpfilename(tpfileparams,cycle,channel,frame)
% TPFILENAME - Determine a 2-photon file name for TIFFSTACK data
% ignore channel for now
cycle_string = ['Cycle_' int2str(cycle)];
fname= getfield( getfield(tpfileparams,cycle_string), 'filename' );
fname(8) = int2str(channel);
|
16f53f87d0015969385af98298482a061212e613f7f6c5402f10196dfc1ff5c3 | MATLAB | 295 | 11 | function TPPreviewImageFunctionListClear
% TPPREVIEWIMAGEFUNCTIONLISTCLEAR - Clear the PI function list
%
% TPPREVIEWIMAGEFUNCTIONLISTCLEAR
%
% This function removes all PreviewImage functions
TPPreviewImageFunctionListGlobals;
TPPreviewImageFunctionList = TPPreviewImageFunctionList([]);
|
2746a64a6d416a77dbe83f3a2d9e86f4c51d469c694b4a88c0f435520f85557c | MATLAB | 295 | 15 | function [x,Sx] = make_row_vector(x)
% Transpose x if size(x,2) == 1
% Input :
% - x : vector or matrix
% Output :
% - x : x transposed if size(x,2) is 1
% - Sx : size(x) after x has been transposed if needed
Sx = size(x) ;
if Sx(2) == 1
x = x' ;
Sx = size(x) ;
end
end |
783e376e310bc259ef46c428ca2dd2f7cd3e807d41c770254875f4e869c328e2 | MATLAB | 297 | 15 | function [x,Sx] = make_col_vector(x)
% Transpose x if size(x,1) == 1
% Input :
% - x : vector or matrix
% Output :
% - x : x transposed if size(x,1) is 1
% - Sx : size(x) after x has been transposed if needed
Sx = size(x) ;
if Sx(1) == 1
x = x' ;
Sx = size(x) ;
end
end
|
928bb035ff4a08d006e7ca2b132ffcf2116a10cfd804505620060e892480e982 | MATLAB | 298 | 21 | % Add paths to the different toolboxes at the beginning of a session
% useful functions to do the scalp plots
addpath(genpath('../Colormaps')) ;
addpath(genpath('../IdealObserversCode')) ;
% Low resolution on plot
set(0, 'DefaultFigureRenderer', 'painters') ;
|
d25089ecb4bd9b38e612026df3b743d13cbf1013a69c79f9890e3f2c5d3ae1e5 | MATLAB | 299 | 12 | function [im,fname]=tpreadframe(dirname,tpfileparams,cycle,channel,frame)
%TPREADFRAME
% read frame from single tiff
%
% 2008, Alexander Heimel
%
fname=fullfile(dirname,tpfilename(tpfileparams,cycle,channel,frame));
im=imread(fname,frame);
if length(size(im)>2),
im = mean(double(im),3);
end;
|
d9910fdb3c92e5b325d48c16fed0d36cf807972ce553768cb12e225655e5acb2 | MATLAB | 300 | 17 | function [ v ] = svd_shrink(w, t, dim)
if nargin == 3
L = reshape(w, dim);
else
L = w;
end
[U,S,V] = svd(L, 'econ');
s = diag(S);
S = diag(sign(s) .* max(abs(s) - t,0));
L = U*S*V';
if nargin == 3
v = L(:);
else
v = L;
end
end
|
a19af668cbd07e5a54b40e02a4d83f3286cac1aa1c9b033dbffed51b039ace10 | MATLAB | 301 | 12 | function ind_values = msec_to_ind(time_vec, msec_values)
% Convert msec times to indices within the input time vector.
nval = numel(msec_values) ;
ind_values = zeros(size(msec_values)) ;
for i_val = 1:nval
[~,ind_values(i_val)] = min(abs(time_vec-msec_values(i_val)));
end
end
|
a76df46960dc4bbab5d1173c0fbcc60214c0b7f49d651ba0e46303391a8cee12 | MATLAB | 301 | 9 | function fname=tpfilename_linescansource(tpfileparams,cycle,channel,frame)
if isfield(tpfileparams,'digits'),
D = tpfileparams.digits;
else
D = 3;
end;
fname=[tpfileparams.fnameprefix '-Cycle' sprintf(['%.' int2str(D) 'd'],cycle) '_' 'Ch' int2str(channel) 'Source' tpfileparams.extension];
|
cd15311998a28082c08849e9b9cebe7c4ab651dd3a83faee77b1cc5bc034f039 | MATLAB | 301 | 11 | classdef SigmoidActivation < nnet.layer.Layer
methods
function layer = SigmoidActivation(name)
layer.Name = name;
layer.Description = 'Sigmoid Activation Layer';
end
function Z = predict(layer,X)
Z = sigmoid(X);
end
end
end |
0ac8fb78a75a268ce5c4b2eb3129dd410d73f822be7380a84cea00f5353e0053 | MATLAB | 303 | 9 | function update_config(config_name,option_string)
eval(['global ,' config_struct,';']);
for i=1:size(option_string,1)
fieldname=option_string(i,1:strfind(option_string(i,:),',')-1);
evalin('base',[config_name,'.',fieldname,'=',option_string(i,strfind(option_string(i,:),',')+1),';']);
end
|
818a730e8dec9f9e741fa1a8b5274e4490c5b4fe38b0e094ecad237ee34ef269 | MATLAB | 303 | 17 | function [wfa, wfb] = dib_wf_lte()
% function [wfa, wfb] = dib_wf_lte()
%
% By Filip Szczepankiewicz
%
% Linear tensor encoding (LTE)
% for the "data in brief 2019" project.
% The LTE is the first chanel of the STE
[stea, steb] = dib_wf_ste();
wfa = stea;
wfa(:,2:3) = 0;
wfb = steb;
wfb(:,2:3) = 0; |
fc8aa211d319a89980867e0c65c40032a32910caa3eceefec3f743da4e5148e3 | MATLAB | 303 | 11 | function [h] = nice_gscatter(x,y,g,c,varargin)
h = gscatter(x,y,g,c,varargin{:}) ;
sz = h(1).MarkerSize ;
for i = 1:length(h)
set(h(i), ... 'MarkerFaceColor','flat',...
'LineWidth',1.5,'MarkerSize',sz*3,...
'MarkerFaceColor',c(i,:),...
'MarkerEdgeColor',[0.5 0.5 0.5])
end |
591c03152554d5bdbfe60e279a3fc8eb0f19fc848621fff840530bd9758265ed | MATLAB | 304 | 11 | % TPASSOCIATELISTGLOBALS - Associates that are added to tpstack cells
%
% Establishes a global variable, TPASSOCIATELIST.
%
global tpassociatelist
if isempty(tpassociatelist),
tpassociatelist = struct('type','','owner','twophoton','data','','desc','');
tpassociatelist = tpassociatelist([]);
end;
|
e03119ec84f90820f893ad9eb97b64c2b6965b7286426001bf22ef972049ba25 | MATLAB | 304 | 13 |
function [a, b] = BetaMomentsToParams(m, s)
% Equivalent parameters for a Beta distribution with mean m and sd s
% Apply formula
v = s.^2;
a = ((1-m)./v -1./m).*(m.^2);
b = a.*(1./m - 1);
% round up to a given precision to avoid degeneracy
a = round(a*1e5)/1e5;
b = round(b*1e5)/1e5;
end
|
14529c14050ae6b147e98b3382b1b3beb55de68ab065eea30ac57153a851d7e9 | MATLAB | 305 | 12 | function [ V2D ] = ProjectPointsToPlane( Normal, V )
%PROJECTPOINTSTOPLANE Given a normal and a matrix of nx3 points,
% project the points to the 2D plane
%Find the largest component of the Normal. This is the axis we will ignore
[~, iMax] = max(Normal);
iV = [1 2 3] ~= iMax;
V2D = V(:,iV);
end
|
b3ae3d836be030bf794361268071c2cbabda8f397cd0c73c39b789fa1035c591 | MATLAB | 305 | 15 | function [x,y] = matchLevels(x,y)
% Get levels
xLevels = unique(x.Atten);
yLevels = unique(y.Atten);
% Identify shared levels
sharedLevels = intersect(xLevels, yLevels);
% Filter
xTrials = ismember(x.Atten, sharedLevels);
yTrials = ismember(y.Atten, sharedLevels);
x = x(xTrials,:);
y = y(yTrials,:);
|
cc153003d58b9b3c82fceee371392c651c50c3571b59c70ea109da2a8af33707 | MATLAB | 305 | 11 | function tpfileparams=tpfnameparams(dirname,channel)
fname = dir([dirname filesep '*.lsm']);
if isempty(fname),
error(['Cannot find any .lsm files here.']);
end;
strind = findstr(fname(end).name,'.lsm');
tpfileparams.fnameprefix = fname(end).name(1:strind(end)-1);
tpfileparams.extension = '.lsm';
|
f1cc4b35d214e67aa9cbb95d9eb0966d7833b156dac8b1614126a2adae94a054 | MATLAB | 306 | 13 | function [ Bounds ] = BoundingBox( Verts )
%BOUNDINGBOX Returns a mx2 matrix of bounding box information,
% [minX minY minZ; maxX maxY maxZ]
[~, nDims] = size(Verts);
Bounds = zeros(2, nDims);
for iDim = 1:nDims
Bounds(1, iDim) = min(Verts(:,iDim));
Bounds(2, iDim) = max(Verts(:,iDim));
end
|
23eaff3871e58b4fae13d4c594b7091d7cece00bf61a12aa876029cbd15bc439 | MATLAB | 307 | 15 | function run_all(model)
if ~exist('model','var')
model = select_and_load_model();
end
log = model.getLogger('model');
try
fiber_pop(model);
load_potential(model);
disconnect_FEM(); % Optional, just to save memory
recruitment(model);
catch ex
log.handle(ex);
end
end
|
65b16668515499c2c065f97de120857203061323b01657600e844a2486cd2215 | MATLAB | 308 | 12 | function [magnitude] = extract_magnitude(data)
magnitude = zeros(size(data,1),1);
for item = 1:1:size(data,1) %Time steps
sum = 0;
for vector = 1:1:size(data,2)
sqr = data(item,vector)^2;
sum = sum + sqr; %a*a+b*b+c*c
end
magnitude(item) = sqrt(sum);
end
return;
end |
d238f8321222c1d9c9c30b052bd801639a19f04459961e2ba6eb3418c0528fed | MATLAB | 308 | 10 | function recruitmentCurve = recruitment_curve_from_data(model)
fiberType = 'Ia';
Charge = model.Q';
Recruitment = model.recruitment_motor_by_type(fiberType)';
[Recruitment, iUnique] = unique(Recruitment); % remove doubled points
Charge = Charge(iUnique);
recruitmentCurve = table(Charge, Recruitment);
end
|
68e1b1e7fee71e2ab95177e86c8c4438c5e02e49a8eca65d11c712f459ae5ec2 | MATLAB | 309 | 10 | function [Q,logQ]=Qfunction(x)
% function [Q,logQ]=Qfunction(x) calculates probability that Gaussian variable N(0,1) takes value larger than x
if x<37.5,
Q = 1/2*erfc(x/sqrt(2));
logQ = log(Q);
else
Q = 1./sqrt(2*pi)./x.*exp(-(x.^2)/2);
logQ = -(x.^2)/2 - log(x)-1/2*log(2*pi);
end |
056c75aab7c31eeb90019f982e8a64283bfc79be620c5a6319986b5e7ea4da17 | MATLAB | 310 | 9 | function fname=tpfilename(tpfileparams,cycle,channel,frame)
% TPFILENAME - Determine a 2-photon file name for Insopix data
% ignore channel for now
if channel>1, error(['Only 1 channel.']); end;
cycle_string = ['Cycle_' int2str(cycle)];
fname= getfield( getfield(tpfileparams,cycle_string), 'filename' );
|
bb0f70f9df0461e66f5264b2411968936c2b147388f5375fed59408c60ceecf1 | MATLAB | 311 | 13 |
function levels = calculate_harmonics_levels(f0_level,weights_relative_to_f0)
levels = zeros(size(weights_relative_to_f0));
for ih = 1:numel(weights_relative_to_f0)
levels(ih) = f0_level + (10 * log2(weights_relative_to_f0(ih)));
if ~isfinite(levels(ih))
levels(ih) = 0;
end
end
end
|
0522f4579030ba002e62ec053b8aaa195591e7138f7c22bb39d740435670898d | MATLAB | 312 | 13 | function checkOutputs(bits)
%This function is expandable to any number of sensors
global DA gf h
for j = 1 : length(bits)
signal = invoke(DA,'GetTargetVal',sprintf('%s.bit%d',gf.stimDevice,bits(j)));
%update gui
handle = eval(sprintf('h.bit%d',bits(j)));
set(handle,'val',signal)
end
|
16a4805f2a4dc564b394cea880261722c5f21c9203d62f298d788420efd53399 | MATLAB | 314 | 19 | function h=figure1(varargin)
% function loads a figure for plotting
h=figure;
set(gcf, 'units', 'centimeters')
pos1=get(gcf, 'position');
if nargin==0
width_=19;height_=8;
else
width_=varargin{1};
height_=varargin{2};
end
pos2=[pos1(1) pos1(2)-10 width_ height_];
set(gcf, 'position', pos2)
|
a3211500d18f73191640715e87df7d5a91e9f30f0a8d74b6e03c2508bd61f402 | MATLAB | 315 | 11 | function [ dp, c] = dprimeFromBinary( isHit , isFalseAlarm )
%DPRIMEFROMBINARY Calculate dprime and response bias from zeros and ones
% Detailed explanation goes here
hitRate = sum(isHit)/size(isHit,1);
falsAlarmtRate = sum(isFalseAlarm)/size(isFalseAlarm,1);
[dp, c] = getdprime(hitRate,falsAlarmtRate);
end |
519e28120eddf906f29659c3356afaf18eefb5a917b3ee2eebca49a00d1e1483 | MATLAB | 316 | 12 | function s = perlin2D (m)
s = zeros([m,m]); % Prepare output image (size: m x m)
w = m;
i = 0;
while w > 3
i = i + 1;
d = interp2(randn([m,m]), i-1, 'spline');
s = s + i * d(1:m, 1:m);
w = w - ceil(w/2 - 1);
end
s = (s - min(min(s(:,:)))) ./ (max(max(s(:,:))) - min(min(s(:,:))));
end |
597ccb0e894188db5a9cbe1daf71b1be7e4f551adb45f7bbbfa19c0e11044425 | MATLAB | 318 | 10 | function [Genes,Genes_compressed] = findGenes(IND,xp,yp,inputSize)
IND_xyp = sub2ind(inputSize,xp,yp);
parfor j=1:length(IND)
Genes{j} = findGenes_sub(IND_xyp,IND(j));
Genes_compressed{j} = findGenes_compressed(IND_xyp,IND(j));
end
Genes = cell2mat(Genes)';
Genes_compressed = cell2mat(Genes_compressed)';
end |
93f7a58a52eb54a4b520ecffafbe45624e1b8481b2f4170942867e0ebea4ac45 | MATLAB | 318 | 13 | function checkOutputs_WE(nSensors)
%This function is expandable to any number of sensors
global DA gf
for j = 1 : length(nSensors)
signal = DA.GetTargetVal(sprintf('%s.sensor%d',gf.stimDevice,j));
%update gui
% handle = eval(sprintf('h.bit%d',nSensors(j)));
% set(handle,'val',signal)
end
|
add3b2b280edba7f4d4e6d535091922366e6c6cda4b98dfd7184ec069d9be744 | MATLAB | 318 | 13 | % qtiplus_setup script
function qtiplus_setup()
% call this function from within the qtiplus folder
% simply add all folders to path
addpath(genpath(pwd));
if ispc || ismac
savepath;
fprintf('Path set! qtiplus folder added permantently to Matlab path!\n')
else
fprintf('Path set!\n')
end
end
|
aebaddfa0b63e1677d1bb56c73910d6ff47036ae3d95adc6c5a65db333a0d2b5 | MATLAB | 318 | 14 | function flags=padflags(EEG,flags,npad)
for np=1:npad;
for i=1:size(flags,3)-1;
%forward...
if any(flags(:,:,i+1))==1
flags(:,:,i)=1;
end
%backward...
if any(flags(:,:,(EEG.trials-(i-1))-1))==1
flags(:,:,EEG.trials-(i-1))=1;
end
end
end
|
e0fc34be03f0061df7012d1863cb9f5be12f630ac0c8f58f405af4a7f345cff5 | MATLAB | 318 | 18 | function [y]= fitCic180(params,x)
% y = cg(x,params(1),params(2),params(3),params(4),params(5),180);
% (x,b,a,po,tw,c,P)
b=params(1);
a=params(2);
po=params(3);
tw=params(4);
P=180;
y=zeros(size(x));
for i=1:length(x(:))
y(i)=b;
for j=-4:4
y(i)=y(i)+a*exp(-(x(i)-po-j*P)^2 / (2*tw^2));
end
end
|
abad606f17b1cc84eb30193aa93183f78156565485850a83da1af2c858d378b2 | MATLAB | 319 | 11 | function [numIaFibers, numIbFibers, numAlphaFibers] = default_I_fibers_count(idIFibers)
numPrimaryFibers = numel(idIFibers);
% Subpartition of primary fibers
numIaFibers = ceil(0.16 * numPrimaryFibers);
numIbFibers = ceil(0.12 * numPrimaryFibers);
numAlphaFibers = numPrimaryFibers - numIaFibers - numIbFibers;
end
|
69a10e0586913012a66cd29c4560ec574108a2cf5e1fb0e737fdc97accaf9a32 | MATLAB | 320 | 14 | function [cellData] = convertToCell(data)
if size(data,3) > 1
cellData = cell(size(data,3),1);
for i = 1:size(data,3)
cellData{i} = data(:,:,i);
end
else
if ~iscell(data)
cellData{1} = data;
else
cellData = data;
end
end
end |
7270c67d9f34c2255ce6e28ebbb9431d7d79a9c347a0a7368c70794e2eeb63ef | MATLAB | 320 | 14 | function [navcent] = nav_centrality(navdist,paths)
n = size(navdist,1);
navcent = zeros(n,1) ;
for idx = 1:n
for jdx = 1:n
if isinf(navdist(idx,jdx)) || idx == jdx ; continue ; end
pa = paths{idx,jdx} ;
navcent(pa(2:(end-1))) = navcent(pa(2:(end-1)))+1 ;
end
end |
f88e3f86ce301a624f6ea26c871d0c017a00c9ce8e6785a04a0719eca78b053f | MATLAB | 321 | 10 | function [p] = get_param()
%GET_PARAM Summary of this function goes here
% Detailed explanation goes here
p.voxel_size = [.25, .25, .25];
p.bbox = [zeros(1, 3); [256, 312, 200] .* p.voxel_size]';
p.origin_index = [128.5, 112, 33];
p.offset = [128.5, 112, 33] .* -p.voxel_size;
p.bbox_shifted = p.bbox + p.offset';
end
... |
40d7dc1c827a87e85179034b82125abd01f4d1b29e6c0ba0bd4dd13b832368d8 | MATLAB | 322 | 8 |
% run latin hypercube
ub=[-60,-60,5000,5000,1000,1000,2,2,1,0.5,150,150,0.5,0.5,-40,-40,7,7,10,-65,10,10,0.1,0.1,10,zeros(1,10)];
lb=[-80,-80,2000,2000,100,100,0.1,0.1,0.1,0.01,5,5,0.05,0.05,-55,-55,2,2,-20,-90,0,0,0,0,0,zeros(1,10)];
p1 = lhsdesign_scale1(npop, npars_est, [lb(paramstoest);ub(paramstoest)]);
... |
a5754287447a8ad1579b4bd016701ec3dcc4250d7da9f603ea39599a2de3a5a7 | MATLAB | 323 | 15 | function subjs = getSubjects(niipath)
% subjs = getSubjects([niipath])
%
% Return cell array of strings with subject names; i.e. subdirectories
% under the 'NII' path.
%
% Daniel.Stolzberg@gmail.com 2016
if nargin == 0, niipath = fullfile(pwd,'NII'); end
D = dir(niipath);
D(~[D.isdir]) = [];
subjs = {D(3:end).name}';... |
3fa0e64af8488b675e421d039cbcfe941543e85851c8ec0767ee4a8e023e63ca | MATLAB | 325 | 17 | function [x] = soft_threshold(x0, tau)
% returns argmin_x (tau||x||_1 + 1/2||x - x_0||)
len = size(x0, 1);
x = x0;
for i=1:len
if x(i) < -tau
x(i) = x(i) + tau;
elseif x(i) > tau
x(i) = x(i) - tau;
else
x(i) = 0;
end
end
... |
9e0af7421856f8df0c59636b8078df5365d1b3de1c10558b47d8648e3efa6c95 | MATLAB | 326 | 13 | function struct = MergeStructs(struct, varargin)
% varargin - struct2, struct3, struct4, etc.
for i = 2:nargin
currStruct = varargin{i-1};
fields = fieldnames(currStruct);
for j = 1:length(fields)
currFieldName = fields{j};
struct.(currFieldName) = currStruct.(currFieldName);
end
e... |
f0e39ddea0aeb1f210e530a286102bbc6a1ecdcb550f7a4d48020c43cdd397a0 | MATLAB | 327 | 9 | %% "Exclude" units on database with fewer than minspikecnt spikes
minspikecnt = 200; % "exclude" units with spikes fewer than this
updatestr = sprintf(['UPDATE units AS ua INNER JOIN units AS ub ', ...
'ON ua.id = ub.id SET ua.in_use = FALSE ', ...
'WHERE ub.unit_count < %d'],minspikecnt);
mym(update... |
f2828f95c0e4e611e986eb4236446abd75c915eebb74b86f750bc354bd107e99 | MATLAB | 327 | 9 | function placements = get_placements_list(nerveModel, electrodeType)
[modeList, electrodeTypeList, placementList] = get_models_list();
iModel = find(strcmp(modeList, erase(nerveModel, 'Subject')), 1);
iType = find(strcmp(electrodeTypeList{iModel}, electrodeType), 1);
placements = placementList{iModel}{iType};
... |
0524a80c9a682c262413a8153b98c2ad4711bd565a31cab8f426384aa2134faa | MATLAB | 329 | 10 | % part of https://github.com/LudgerS/MRSartifactRemoval
%
function line = complexVoigtWithPhase(specAxis, area, center, fwhm, mixingRatio, phase, pCorr1)
line = area*exp(-1i*phase*pi/180)*complexVoigt(specAxis, center, fwhm, mixingRatio);
% 1st order phase correction
line = exp(-1i*specAxis*pCorr1).*line;
... |
562635b20dec5bbb42567b17036e5cdb3f0069a36741c6f3a6c301e434ca540e | MATLAB | 329 | 18 | function x = compareFixate2(curHeading)
% x = compareHeading(curHeading,Headings,Tol)
%
% Compare the current heading value to a 1xN vector of target Headings +/-
% a specified tolerance.
%
% Stephen Gordon 2016
if abs(curHeading(1)) < 3 && abs(curHeading(2)) < 5
x = 8;
return
else
x = 0;
return
end
... |
6c4ffac9bb4112606b9949e0563eadc1ec8dad7d1fa173c3fd567f9cbbc54fe6 | MATLAB | 330 | 10 | function[name] = dbcurr
% dbcurr Current MySQL database [mym utilities]
% Example dbname = dbcurr
if ~myisopen
error('No MySQL connection active; use ''myopen'' to connect')
else
% new compilation of mym returns structure DJS 1/2013
d = mym('select database() as db');
name = char(d.db... |
803c26ed421314d4c5d3a8b8ee5eeb614ed5c80fd241ea8e5f21eba5bd232dea | MATLAB | 331 | 13 | function [ Locs ] = ReadLocationsFromFile( filename )
%READLOCATIONSFROMFILE Read locations from a tab-delimited text file
fileID = fopen(filename);
Locations = textscan(fileID, '%f %f %f %f %f %f %f %f%*[^\n]','MultipleDelimsAsOne',1,'CommentStyle','#');
fclose(fileID);
Locs = horzcat(Locations{:,... |
abbba07e890fd988dc4c6f0663696f3ea79e6296111d09a8488475976c4fb909 | MATLAB | 331 | 9 | function fname=tpfilename(tpfileparams,cycle,channel,frame)
if isfield(tpfileparams,'digits'),
D = tpfileparams.digits;
else,
D = 3;
end;
fname=[tpfileparams.fnameprefix '_Cycle' sprintf(['%0.' int2str(D) 'd'],cycle) '_' tpfileparams.myconfigstr 'Ch' int2str(channel) '_' sprintf('%.6d',frame) tpfileparams.e... |
46934c814027a368a9968d72d57e6b210378c0519df1dcbac2f7eeaac04f1ca8 | MATLAB | 332 | 11 | function [ho,r,p] = nice_scatter(x,y,varargin)
h = scatter(x,y,...
varargin{:},...
'MarkerFaceAlpha',.6,'MarkerFaceColor','flat',...
'MarkerEdgeAlpha',.9,'LineWidth',1.5) ;
[r,p] = corr(x(:),y(:),'type','s','rows','complete') ;
disp([ 'spearman rho: ' num2str(r) ', pval: ' num2str(p) ])
if nargout > 0
h... |
25d457f379e9a39641f59da08bb34b075b40cbf385ff77308d0c823474657e78 | MATLAB | 334 | 18 | function F=KDens(Z,X,h)
% Kernel density convolution
% Z = time bins
% X = spike times
% h = kernel S.D.
% F = convolved output
N=length(Z);
F=zeros(1,N);
a=1/sqrt(2*pi*h);
for i=1:N
for j=1:length(X)
dt=Z(i)-X(j);
F(i)=F(i)+exp(-dt^2/(2*h));
end;
end;
% F=a*F./length(X);
F=a*F... |
0129a39aedea087b80caeccaa1b4c40b35261653f2f6fb9d2abf6413f5732c35 | MATLAB | 336 | 10 | function [y] = sem(x)
%SEM Calculation of the standard error of the mean
% For vectors, Y = SEM(X) returns the standard error of the mean. For
% N-D arrays, SEM operates along the first non-singleton dimension of X.
dim = find(size(x) ~= 1,1,'first'); % find first non-singleton dimension
y = std(x,0,dim)/sqrt(size... |
4edfe449c82baa9e8870d98623603be71d158263d62d61df38ecd81ddd6a9ca0 | MATLAB | 336 | 13 | function[i] = istable(name)
% istable True if MySQL table exists [mym utilities]
% Example if istable('junk'), tbdrop('junk'), end
if ~myisopen
error('No MySQL connection active; use ''myopen'' to connect')
else
try
i = false;
[a,b,c,d,e,f] = myms(['describe ' name]); %#ok
i = true;
catc... |
d50ac60561bf61634454a18e98c1b8837228788474c70f9aa1b4c8e00f73127c | MATLAB | 336 | 12 | function dbdrop(name)
% dbdrop Delete MySQL database [mym utilities]
% Example dbdrop('junk')
if ~myisopen
error('No MySQL connection active; use ''myopen'' to connect')
else
try
mym(sprintf('drop database if exists %s',name))
catch
error('Database %s could not be deleted',name)... |
9db6c0a4f84ed5f64250c8dcc6ef8bd7a63c3757ef5beb60a3425ed8e9dd732e | MATLAB | 337 | 17 | function TDTmultiSet(tag, val)
% Space saving function allows multiple parameter tags to be assigned
% values.
global DA gf
for i = 1 : length(tags)
if DA.SetTargetVal(sprintf('%s.%s', gf.stimDevice, tag{i}), val(i)) ~= 1,
warning(sprintf('Failed to set %s.%s', gf.stimDevice, tag{i}))
end
... |
f2760c87fca61aac260aa768b6d0c007a1df690ae932a129c0952a021d247fed | MATLAB | 337 | 16 | % Modified Gram-Schmidt Orthonomalization
% (Source) http://elliottback.com/wp/modified-gram-schmidt-orthogonalization-in-matlab/
%
function Q = GSOrth(A)
n = size(A,2);
Q = A;
for k = 1:n-1,
Q(:,k) = A(:,k) ./ norm(A(:,k));
A(:,k+1:n) = A(:,k+1:n) - Q(:,k) * (Q(:,k)' * A(:,k+1:n));
end;
Q(:,n) = A(:,n) ./ n... |
61329e65dcc71e704c3a5ec5664e6fcc56591a6793335fe22ca0785846f5a2d9 | MATLAB | 339 | 9 | % compilation instructions for the CUDA code
% requires CUDA version 11.6
% on Ubuntu or Windows (Linux commands may work similarly on MAC, but never attempted)
% first, check paths in +kgmlm/+CUDAlib/myCUDAPaths.m
% then run
% kgmlm.CUDAlib.buildGMLMCUDALibrary;
%
% If a link error occurs, try 'clear mex' a... |
5b3560fd56b0ec72edf602d33117082a89d9f7b4ccc54db8c415d07c4cfec9a1 | MATLAB | 341 | 19 | function model = view_run(model)
addpath('matlab');
if nargin == 0
[file, path] = uigetfile('data/runs/*.mat');
load([path file], 'model');
end
figure;
tiledlayout(2, 1);
nexttile;
prepare_plot_cross_section(gca());
plot_cross_section(model, gca());
nexttile;
prepare_plot_recruitment(gca());
plot_recruitment(... |
d2c9f1d04dc7ff8dda32b3c11290bf0cc306579ae560de45a8d0231cffebce3e | MATLAB | 341 | 15 | function outcell = object2varargin(inobj,exclude)
keys = fieldnames(inobj);
j=0;
for i=1:length(keys);
if ~isempty(eval(['inobj.',keys{i}]))
if isempty(find(strcmp(keys{i},exclude)));
j=j+1;
outcell{j}=keys{i};
j=j+1;
outcell{j}=eval(['inobj.',keys{i}]);
... |
d6f37c8d5445f8ae84ae25c466fd1e930fe177f756943ba6c7228f341a67930f | MATLAB | 342 | 23 | function h1=offplot1(time_series,diff,t1,color)
% function offplots a time series signal
if size(time_series,1)>size(time_series,2)
time_series=time_series';
end
for j=1:size(time_series,1)
h1(j) = plot(t1,time_series(j,:)+diff*(j-1),'color',color(j,:),'LineWidth',1);
hold on
end
hold off
... |
0a2ee016231ea94f75fa6964fcedb4ffe629d7537ba2a8caa5c4f791fc287296 | MATLAB | 343 | 16 | function [messgStr,bestpanelIndex]= f_check_decodetab_panelchanges()
messgStr = '';
bestpanelIndex = 0;
MyViewer_chanbin = estudioworkingmemory('ERPTab_plotset');
if ~isempty(MyViewer_chanbin) && MyViewer_chanbin==1
messgStr = char( 'Changes on "Plot Setting" have not been applied');
bestpanelIndex =1;
... |
7dc519efccbb15ec677771b59c88b6ed7f255af15ec5b2ba1995851b17388962 | MATLAB | 343 | 12 | function imgData = readBin(filename, width, height, numFrames, dataType)
fid = fopen(filename, 'rb');
assert(fid ~= -1, strcat('[Error] Cannot open file: ', filename));
imgData = fread(fid, width*height*numFrames, ['*', dataType]);
fclose(fid);
imgData = reshape(imgData, width, height, numFrames);
imgData = permute(... |
a3287489a1a61eedc670bea0d54f96174352555af6674fb3aaa071f2081be6c9 | MATLAB | 343 | 12 | function [params_group] = getPriorVariance(params_group, prior_setup)
dim_S = numel(params_group.T);
params_group.V(:) = 1;
for ss = 1:dim_S
if(strcmpi(params_group.dim_names(ss), prior_setup.groupName))
H = double(params_group.H);
params_group.T{ss}(:) = exp(2*H);
else
params_group.T{... |
c3ff5a3bd0a316eef4b37643baf2f6114dab56c7e21c741a9a40f6de18726bff | MATLAB | 343 | 11 | function [im,fname]=tpreadframe(dirname,fnameprefix,cycle,channel,frame)
%TPREADFRAME
% read frame from multitiff
%
% 2008, Alexander Heimel
%
fname=fullfile(dirname,tpfilename(fnameprefix,cycle,channel,frame));
cycle_string = ['Cycle_' int2str(cycle)];
im=imread(fname,frame,'info',getfield(getfield(fnameprefix,cycl... |
5c8420d4773a9b4e65c0d3f5cae97971ec705e77cce67dc5ed160950ff36edae | MATLAB | 344 | 13 | function erb = cf2erb(cf,lowFreq,fs,numChannels);
% function erb = cf2erb(cf,lowFreq,fs,numChannels);
humanfactor = 1;
EarQ = 9.26449*humanfactor; % Glasberg and Moore Parameters
minBW = 24.7;
EB =EarQ*minBW;
erbnum = log( (cf+EB)/(fs/2+EB) );
erbden = ( -log(fs/2 + EB) + log(lowFreq + EB))/numChannel... |
8d73a686b4ceeca10644b1436efd69ef1aa5b5f640d80f1fa238ba4496f9a65a | MATLAB | 344 | 11 | function [split_by_module] = split_by_module(betas_modules,fun)
%SPLIT_BY_MODULE split data by modules and apply a function (fun)
arguments
betas_modules
fun = @(x) {x}
end
[t_groups, t_ids] = findgroups(round(betas_modules(:,2)));
assert(isequal(t_ids,[0,1,2]'));
split_by_module = splitapply(fun, betas_modules... |
ad716690f681cdeca06fb25458b094fbc5d15a7072568598769799eb1542a374 | MATLAB | 344 | 17 | function rstr = get_string(hObj)
% rstr = get_string(hObj)
%
% Get currently select string in a gui control such as popup menu or
% listbox
%
% Daniel.Stolzberg@gmail.com 2013
v = get(hObj,'Value');
s = cellstr(get(hObj,'String'));
if isempty(s)
rstr = '';
elseif length(v) == 1
rstr = s{v};
else
... |
52d7ca9d9a397d839a5ba7568e3cbbb859552b78678277e66af8ed3cd21c6d88 | MATLAB | 346 | 13 | function [ LocLinks ] = ReadLocationLinksFromFile( filename )
%READLOCATIONSFROMFILE Read locations from a tab-delimited text file
fileID = fopen(filename);
Locations = textscan(fileID, '%d %d%*[^\n]','TreatAsEmpty',{'#'},'MultipleDelimsAsOne',1,'CommentStyle','#');
fclose(fileID);
LocLinks = horzc... |
98bb180e9417b4931712b4b4b5a199fcf9b75858763c3013d2b896e2a013ed07 | MATLAB | 346 | 18 | function InitializeAnnotations(self)
if self.VerboseLevel > 0
fprintf(' Initializing annotations: ')
end
vidNames = GetVideoNames(self, 'videos');
for i = 1:length(vidNames)
annot = Annotation(self, vidNames{i});
annot.InitializeAnnotation()
if self.VerboseLevel > 0
ProgressBar(i, length(v... |
e7970a369e460352cf3ded42a56a62d5a95398d60abe0a6a3033a0b03cad8564 | MATLAB | 346 | 13 | % Script to Rename Images
clc;clear all;close all
% Input Directory
input1= './bandage/';
input = imageDatastore(input1,'IncludeSubfolders',true,'LabelSource','foldernames');
% Loop
for i=1:1:size(input.Files,1)
currentimage = imread(input.Files{i});
imwrite(currentimage,sprintf('%s0%01d.jpg', input1,i));
... |
25c45688c660c21f9a179136874104aaf062ae3ece1a8c7486f7f94762c3f93e | MATLAB | 347 | 15 | function s = dist_sd(val, pgrid)
% Compute the standard deviation (s) of a probability distribution (val)
% over a discrete grid (pgrid).
%
% Usage:
% s = dist_var(val, pgrid)
%
% Copyright 2016 Florent Meyniel & Maxime Maheu
% check that a grid is provided
if nargin == 1
error('pgrid is missing');
end
s = s... |
11ac0e5c782807a4c8c26e3cf61c7cb63d3eeb872789f60d67041596ae4d4f39 | MATLAB | 348 | 13 | function [ Structs ] = ReadStructuresFromFile( filename )
%READSTRUCTURESFROMFILE Read structures from a tab-delimited text file
fileID = fopen(filename);
Structures = textscan(fileID, '%f %f %f%*[^\n]','TreatAsEmpty',{'#'},'MultipleDelimsAsOne',1,'CommentStyle','#');
fclose(fileID);
Structs = horz... |
64be76d3b5bb99b65b812fc253652c934c13dc6273d2d592b4d31995938bb5f2 | MATLAB | 348 | 12 | function UpdateAnnotations(self, updatedAnnotT)
self = Load(self);
updatedFrame = updatedAnnotT.Frame;
updatedType = updatedAnnotT.Type;
updatedLabel = updatedAnnotT.Label;
[~, loc] = ismember(updatedFrame, self.AnnotationTable.Frame);
self.AnnotationTable.Type(loc) = updatedType;
self.AnnotationTable.Label(loc) = up... |
4c8a10e0aa7c9ac9eb314cf8d0d1b66f1d0fe9c3899b8cdb140583663babc356 | MATLAB | 349 | 14 | function signal = qtip_predict(model,bten)
% function qtip_predict()
%
% returns the signal values as implied by the QTI model given the model
% parameters and the b-tensors
%
if size(model,1) == 28
model = model';
end
bt2 = convert_1x6_to_1x21(bten);
signal = model(1) * exp(- bten * model(2:7)' + 0.5 ... |
9a2f3c3f92248f3013c0cfb8e9c5ac44ed2657e8888485c92a3067d702722648 | MATLAB | 350 | 15 | function plot_all(model, Q)
if ~exist('model','var')
model = select_and_load_model();
end
if ~exist('Q','var')
Q = linspace(0, get_max_threshold(model, 0.99));
end
plot_cross_section(model);
plot_fascs_recruitment(model, Q);
plot_thresholds(model);
plot_selectivity(model, Q);
plot_selectivity_and_r... |
acdd8e9c1ccfb2da1032ff954dd1f730c87026176dbade98f923203faf69fe6e | MATLAB | 350 | 13 | function Spikes = pp_fullprocess( BLOCKS, subject, session )
%
% Run full processing workflow. Take data from raw (epData) format,
% through automatic spike sorting steps.
%
% Note: user input is required in the middle, to select clean trials.
%
pp_prepare_format( BLOCKS, subject, session );
Spikes = pp_sort_ses... |
2ed80ce4f288f285a0bbaf1152b48c61157b2ac2215b43c61130af93e849e036 | MATLAB | 351 | 12 | function scalar = ScalarForUnitConversion( source_units, desired_units )
%SCALARFORUNITCONVERSION Given metric units, returns the scalar to convert
source_unit_scalar = ScalarForUnitToMeters(source_units);
desired_unit_scalar = ScalarForUnitToMeters(desired_units);
scalar = source_unit_scalar / desire... |
a6c00d228dc6c75690574bad3e190da6571b2d3ffeeca4b903ed4eaa8b5c03a9 | MATLAB | 351 | 12 | function dbadd(dbname)
% dbadd Create MySQL database [mym utilities]
% Example dbadd('newdb')
if ~myisopen
error('No MySQL connection active; use ''myopen'' to connect.')
else
try
mym(sprintf('create database if not exists %s',dbname))
catch
error('Database %s could not be c... |
c986a14eaa484b8ec69bd8ccdb92adcfc1234277329535ebe2c81696efd1cf22 | MATLAB | 351 | 19 | function F = communicability_wei(CIJ)
%inputs
% CIJ weighted connection matrix
% i row
% j column
%
%outputs
% F communicability
%=================================================
N = size(CIJ,1);
B = sum(CIJ,2);
C = diag(B);
D = C^(-(1/2));
E = D * CIJ * D;... |
128d1b4a5e1b03a266bf44773cc837ac3d4bfcf20810c65d483f0a09b05ce1c0 | MATLAB | 352 | 13 | % part of https://github.com/LudgerS/MRSartifactRemoval
%
% Normalized Absorption and Dispersion mode Gaussian curve
% See subfunctions for documentation
function lineShape = complexGaussian(frequencyAxis, f0, fwhm)
lineShape = Gaussian(frequencyAxis, f0, fwhm) -...
1i*dispersiveGaussian(fre... |
f778f5a58f71ac5ab32dfa107fe43f8559c763f84a9f7f0177e2d3a698835ce1 | MATLAB | 354 | 12 |
%%
projectFolder = '/Users/harriscaw/Documents/Behavior classification/Projects/JuangSetup';
project = DeepActionProject(projectFolder);
%%
% feat = Feature(project, '20080324115556', 'spatial', [])
% feat = Feature(project, '20080324115556', 'temporal', [])
feat = Feature(project, '20080324115556', 'spatial', [])
... |
69b4d2f19309b5962cf98b9c15f1db6ded8fd719197bfcd2ecad99e68dfa7ef8 | MATLAB | 356 | 22 | function outPnts=mrgOvlPnts(inPnts)
j=0;
for i=1:size(inPnts,1);
if inPnts(i,2)>0;
j=j+1;
trmPnts(j,:)=inPnts(i,:);
end
end
j=1;
outPnts(1,:)=trmPnts(1,:);
for i=1:size(trmPnts,1);
if trmPnts(i,1)<outPnts(j,2);
outPnts(j,2)=trmPnts(i,2);
else
j=j+1;
outPnts(j,:)... |
724e547fa9e3091249b73494e85fba820226d83d35090a57ee855fa044c9ede2 | MATLAB | 357 | 18 | function test_Visual(x)
figure
xlim([-90 90]);
ylim([-90 90]);
for i = 2:length(x)
plot([-40 -25 -20 -15 -10 -5 5 10 15 20 25 40],[0 0 0 0 0 0 0 0 0 0 0 0],'bd')
hold on
plot(0,0,'gd')
plot([-2 2],[0 0],'k+')
plot(x(i,5),x(i,6),'k*')
hold off
xlim([-50 50]);
ylim([-90 90]);
pa... |
bf57c32e6612c5e31d635e15d63c88332dd29f9924d07ccd89162a0533129ade | MATLAB | 357 | 13 | function dbopen(name)
% dbopen Make MySQL database current [mym utilities]
% Example dbopen('new')
if ~myisopen
error('No MySQL connection active; use ''myopen'' to connect')
else
try
a = mym(['use ' name]); %#ok
catch
error('Database %s not found; use ''dblist'' to list available ... |
1629cd6cb58354a93bc9b4a18e0cc6132bfcadd6b6f52e5ca6824a42d671e7d0 | MATLAB | 358 | 12 | function [] = add_template(name, alpha)
%ADD_TEMPLATE add the template given the name
if ~exist('alpha','var') || isempty(alpha)
alpha = 1;
end
f_name = fullfile(util.get_data_dir, ...
'template_surfaces', name);
this_surface = util.get_surface_from_gifti(f_name);
color = [244,229,206] ./ 255;
util.display_surf... |
b48fae0c0c672ac35ba2b7968e2283f0f1b3d9e8984ae52d9bc7292f1c7a88a3 | MATLAB | 358 | 14 | function idx = rParamIdx(TRIALS,param)
% idx = rParamIdx(TRIALS,param)
%
% Helper function returns index to a read parameter (param).
%
% Returns empty if the parameter is not found in TRIALS.readparams.
%
% See also wParamIdx
%
% Daniel.Stolzberg@gmail.com 2016
% Copyright (C) 2016 Daniel Stolzberg, PhD
idx = fi... |
d456e940129b3fef1685635ea3d322959c1f9d31b9a23d64b7d4c23007e89a18 | MATLAB | 358 | 12 | function [] = clearAll()
% CLEARWORKSPACEFIGURES Clear all variables in the base workspace and close
% all figure windows.
% Note: this function is usually called in the begining of a script to
% clear the workspace and close all figure windows
% Author: Ali Karimi <ali.karimi@brain.mpg.de>
evalin('base','clearvar... |
0fed3c69b89f549b57eaf3358146daf9df9f4649cf0a65d74994cfb2f083b664 | MATLAB | 359 | 9 | function [T] = create_empty_table(template_T)
%CREATE_EMPTY_TABLE Create an empty table of type cell
var_types = varfun(@class, template_T(1,:),'OutputFormat', 'cell');
T = table('Size', size(template_T),...
'VariableTypes', var_types,...
'VariableNames', template_T.Properties.VariableNames,...
'RowNames', ... |
5fb8175685cbb665af77df44c0f3b5cca24d5458a36a1295fe33ec64977e9336 | MATLAB | 360 | 15 | function FEM = load_FEM(model, FEM)
% If called with one argument, it just loads the model.
% If called with two, it closes the given one first (or at least tries to).
import com.comsol.model.util.*;
if exist('FEM', 'var') && ~isempty(FEM)
ModelUtil.remove(FEM.tag);
else
comsol_connection();
end
FE... |
90a0f1f6bc7102087318d91fb2eea1792dd61cf6898f16fce54ccd90aea34967 | MATLAB | 360 | 11 | function Pr=prob(data, nR)
PrPos = zeros(1,nR-1);
% diff of find of diff trick for counting number of elements
temp = sort(data(data>0)); % want vector excluding P(0)
dtemp = diff([temp;max(temp)+1]);
count = diff(find([1;dtemp]));
indx = temp(dtemp>0);
PrPos(indx)= count ./ numel(data); % probability
Pr = [max(1-s... |
d0963e926090f290a0f05aeb00079d1492721052b26a5bfcafd1577dd1037157 | MATLAB | 360 | 10 | function [Matrix] = Order(MatrixOld, patient, Order)
Matrix = [];
Matrix(:, 1) = MatrixOld(:, Order(patient, 1));
Matrix(:, 2) = MatrixOld(:, Order(patient, 2));
end
% Here I didn't distinguish between when I have or not an SCR file because
% in this case in all conditions I measure SCR
% (so, Order... |
f612e6c81078c92301c05d1f37327b25c59ad7d4791e639653c042185f50fad9 | MATLAB | 360 | 18 | function out = convert_3x3_to_1x6(in)
% function convert_3x3_to_1x6
%
% converts a tensor from a 3x3 to a 1x6 representation
% picks up the upper triangular elements to be used in the Cholesky
% formulation
xx = in(1,1);
yy = in(2,2);
zz = in(3,3);
xy = in(1,2);
xz = in(1,3);
yz = in(2,3);
f = sqrt(2);
... |
02a0827c8ae0c143514567bc653cdb80fcb3a5c757e592455704be7d6d309a25 | MATLAB | 362 | 16 | function output = getVal(handle)
%Custom function for SanesLab epsych
%
%This function retreives the user-selected value of a GUI handle
%
%Input:
% handle: GUI handle
%
%Example: To obtain the user-selected dBSPL value- getVal(handle.dBSPL)
%
%Written by ML Caras 7.28.2016
str = get(handle,'String');
val = get(han... |
5ce37b7f03baf5838e736f431158db09c930ffab1766ddc7928b6152d98b3555 | MATLAB | 364 | 14 | function felec = export_electrode_stl(model)
direlec = model.paths.elec;
prefix_elec = 'electrode';
if isempty(dir([direlec prefix_elec '*.stl']))
if ~exist(direlec, 'dir')
mkdir(direlec);
end
felec = export_stl(model, direlec, prefix_elec);
else
files = dir([direlec prefix_elec '*.stl'... |
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