sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
24ac8e7197c0d819f570c61609f605c2f6707f06b7f08f01ffdded81ed2df7e3 | MATLAB | 952 | 28 | function mydata = analyzetpstack_loadsavedfile(ds,stackname,dirname)
% ANALYZETPSTACK_LOADSAVEDFILE - Load a saved tuning curve file
%
% MYDATA = ANALYZETPSTACK_LOADSAVEDFILE(DS,STACKNAME,DIRNAME)
%
% will attempt to load saved tuning curve data from the experiment data
% that is being read by a DIRSTRUCT object DS... |
bf7e40b557e4a353dd0d0f59390b51cb5c5f343d8c6cb4c1f5d58e007d7eb518 | MATLAB | 953 | 26 | % Indicator of which elements of a universal set are in a particular set.
%
% Input arguments:
% strset:
% the particular set as a cell array of strings
% struniversal:
% the universal set as a cell array of strings, all elements in the
% particular set are expected to be in the universal set
%
% Outp... |
dd10ef49c85a89ca749766890e6f82ba3fa595ebf7974fcfba44efd74e47afff | MATLAB | 953 | 31 | % part of https://github.com/LudgerS/MRSartifactRemoval
%
% allows addressing the build-in standard Matlab colors
function color = matlabColors(number)
switch number
case 1
color = [0,0.447000000000000,0.741000000000000];
case 2
color = [0.850000000000000,0.325000000000000,0.098000... |
71df2219b421dc4198bc4f7e0beb125b201494410294dd3978074ec273176c25 | MATLAB | 954 | 46 | function lat = do_laterality(pow_parcel)
% datain = [mean(pow_parcel,1)];
%
% figure,
% bar(datain);
% L = length(rois);
% set(gca,'Xtick', 1:L,'XtickLabel',1:L);
% % set(gca,'Xtick', 1:L,'XtickLabel',rois);
% box off
% set(gca,'color','none');
% xlim([0,L+1])
% xlabel('ROI');
% ylabel('Source power');
% set(gcf, 'Po... |
50fe0890c1f690b9ad7cfcb5140a2f6de3103758fd24f21f5501b91511eff8dc | MATLAB | 955 | 23 | % Quality control Q1b
% Plot the anatomical image and check its intitial position with reference to the MNI template
% Xin Di, July 13, 2022
clear
subjfolder = dir('F:\fMRI_QC\fmri-open-qc-rest_bias_corrected\sub*');
for subji = 1:length(subjfolder)
imgs = char(['F:\fMRI_QC\fmri-open-qc-rest_bias_corrected\' sub... |
b56eaf8b4611af9f074f675beea89124b3e93c209b84dc36438f060b23b4a4d0 | MATLAB | 955 | 29 | function [v1,v2] = ev2d(grad,rho,Sx,Sy,um,vm,lambda,theta)
[m,n] = size(um);
v1 = zeros(m,n);
v2 = v1;
l_t =lambda*theta;
for y = 1:m
for x = 1:n
dx = 0;dy = 0;
rhoc = rho(y,x) + ( Sx(y,x).*um(y,x)+Sy(y,x).*vm(y,x));
if rhoc < - l_t * g... |
d1a2f558368836a7f120af8bbb2e5ae2c14f232fd0d5403a0675cc81e4381ed5 | MATLAB | 955 | 39 | function handles = setupResponseandTrialHistory_SanesLab(handles)
%handles = setupResponseandTrialHistory_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function sets up the GUI response and trial history tables
%
%Inputs:
% handles: handles structure for GUI
%
%
%Written by ML Caras 7.24.2016
glo... |
4ed01df6dfef00c3f57897f70e03ea04f6c88b3aa4673691b45d74082b75ca18 | MATLAB | 958 | 43 | function Sel = LogRegRed(dset,N)
current_dir=pwd;
YTrain=[];
for c=1:dset.class
YTrain = [YTrain;ones(dset.num_tr(c),1)*c];;
end
if nargin<2
N = 5000;
end
GeneSel_flag=0;
cd ~/MatWorks/Unsup/liblinear-2.11/matlab/
for k=1:3
model{k}=train(double(YTrain),sparse(double(dset.Xtrain(:,:,k)')),['-s 0','liblinear_... |
e2231ea4f144b653492d3004e463d82a401bda0f42104d3a38d04ce1fff43b18 | MATLAB | 959 | 40 | function W = generate_JointMatrix(A,B,n_perc)
fc_mat_1 = A;
fc_mat_2 = B;
% keep only positive values
fc_mat_1 = fc_mat_1 .* (fc_mat_1 > 0);
fc_mat_2 = fc_mat_2 .* (fc_mat_2 > 0);
fprintf('- top percent\n')
fc_mat_1 = fc_mat_1 .* (fc_mat_1 > repmat(prctile(fc_mat_1,n_perc,2),1,size(fc_mat_1,2)));
fc_mat_1(fc_mat_1<0... |
f8b2af08d03b78c71cdfadb59f90cd0689892ba6e6a7193b7f5a9119b496f786 | MATLAB | 959 | 34 | function [y] = logsumexp(X)
% Calculate log sum of exponentials, i.e., log sum_{l=1}^L exp(X)
%
% Input
% X LxN matrix, i.e., x_{l,n}
% Output
% y log sum of exponentials, i.e., log sum_{l=1}^L exp(X)
%
%
% Here, we define
% max_X = {max_1,...., max_n,...,max_N }, where max_n = argmax_{l}
% x_... |
e3bd802ed2dfd0c5463f9fe980dc4643dec5322fe68d79bde489b3a55079e5c1 | MATLAB | 960 | 39 | function folders = GetValidSubFolders(parentFolder, varargin)
p = inputParser;
addOptional(p, 'Contains', '');
addOptional(p, 'DoesNotContain', '');
parse(p, varargin{:});
d = dir(parentFolder);
dfolders = d([d(:).isdir]);
dfolders = dfolders(~ismember({dfolders(:).name},{'.','..'}));
if isempty(dfolders)
folder... |
9f07f8b04b633a48648c94329472829beb516e41d5d117ae45d1c705775a61b6 | MATLAB | 962 | 31 | scripts = dir("scripts/**/*.m");
scripts = string(vertcat({scripts.name}));
plotting = dir("code/Matlab/plotting/**/*.m");
plotting = string(vertcat({plotting.name}));
rootFiles = ["run_all", "run_boundariescondition", "run_meshrefinement", scripts, plotting];
necessaryFunctions = matlab.codetools.requiredFilesA... |
321684de1ee723b05da716111bad6e11a6f77609ff2af217e6796bec9cf26660 | MATLAB | 963 | 35 | function [ server, port, database ] = ReadConnection( filepath )
%READCONNECTION Read default connection settings from a file
% File should contain three lines
% SERVER
%
server = [];
database = 'rabbit';
port = 1433;
try
fid = fopen(filepath);
server = fgetl(fid);
... |
56115710c5584a3243e71aa39c15410638a67cd43b5c895fc3e3791a06c9836b | MATLAB | 963 | 28 | function [sc,labels] = reorder(in_sc,in_labels,FULL_IDX)
FULL_IDX = FULL_IDX(1:length(in_sc));
sc = in_sc(FULL_IDX,FULL_IDX);
if exist('in_labels')
labels = in_labels(FULL_IDX);
end
% nan lower part of functional and structual matrices
% and transfer value to other half if ne... |
b7e6d2dc258f3ba130d98b8c70f6659c11c0a7a975bb3f239218234f8c7385b0 | MATLAB | 965 | 37 | function output = updatewater_SanesLab(varargin)
%Custom function for SanesLab epsych
%
%This function queries the pump to obtain the delivered water volume, and
%updates the GUI text, if appropriate
%
%Inputs:
% varargin{1}: GUI handles structure
%
%
%Written by ML Caras 7.25.2016
global PUMPHANDLE
%Wait for pump... |
db0eabdc73105e9f4df964ac7f1dc9815f2ce1bb8d9ee9b4c963d2ae4fcfe976 | MATLAB | 966 | 35 | function vhlab2p_movecells2firstdirectory(filename)
% VHLAB2P_MOVECELLS2FIRSTDIRECTORY - relabel all cells as being "drawn" in first drawn directory
%
% VHLAB2P_MOVECELLS2FIRSTDIRECTORY(FILENAME)
%
% Given an ANALYZETPSTACK '.stack' file FILENAME, this function reads in the
% definition for all drawn cell ROIs and chan... |
f0a6601ccaa5174289d052af1ff4fd123bb5814c6e77a195e3d93094572c0ecb | MATLAB | 966 | 43 | %% Create new atlas based on sphere around ROI centroid
cubeSize = 1; % mm
Patlas = 'D:\ownCloud\PROJECTS\MRI\TPM_Catlas_Slicer4\CombinedAreas_SPLIT.nii';
Vatlas = spm_vol(Patlas);
Yatlas = uint8(spm_read_vols(Vatlas));
roi = unique(Yatlas(:));
roi(roi==0|isnan(roi))=[];
vxl = getVoxelSize(Vatlas);
vsq = round(cube... |
1ff971e062d0e35f555273f47829d6e6522d18af6b9d994ee4dbed468a0dc6d7 | MATLAB | 967 | 39 | function model = dtip_pipe_NLLSd(model,data,btensors,mask,ind,parallel)
% function model = dtip_pipe_NLLSd()
%
% reshape data and retain voxels within the mask
siz = size(data);
sizm = size(model);
data = reshape(data, prod(siz(1:3)), siz(4))';
model = reshape(model, prod(sizm(1:3)), sizm(4))';
mask = reshape(mask, pr... |
913b83573820f68668019e101612114954f43056eb6efb003069a44ff3ec74c1 | MATLAB | 968 | 26 | function [clu] = epochSpikeTimes(clu,tr, epocType)
% EPOCHSPIKETIMES Epoching of spike times into trials (=epochs) based on events from tr struct
%
% Inputs:
% clu.spikeTimes: {1×n cell} % spike times in the session for each cluster
% tr.'field': [1×trials double] % tr struct from loadSessi... |
a2bae67c12c9fc87b58ac28fd564c297bd181ccb73e9a27254b8c65ade96226a | MATLAB | 968 | 29 | function [dataA, dataM] = getOrgData(dat,code,P)
% get organized version of the data
% dataA contains all / dataM the mean over repeats
% dataA is bins x important stim x unimportant stim x clusters x rep
%%% supposes that the number of trials is the same for a and v
if ~isempty(dat)
... |
333949f934fc48dc11cda1837f96a3c4d22846eb5f778984d9f6a06341aea69f | MATLAB | 970 | 25 | %%This function is to set the default fontsize for ERPLAB Studio GUIs
%Author: Guanghui ZHANG && Steve Luck
%Center for Mind and Brain
%University of California, Davis
%Davis, CA, USA
% 2023
function FontSizeDefault = f_get_default_fontsize()
% The value is in PIXELS, not points. Studio positions its panels in pixe... |
c73fc1e1389c3b94e77df00ec7b02eedd8d7462f6b604d9855369029541bcf37 | MATLAB | 971 | 39 | function handles = setupTrialHistoryPassive_SanesLab(handles)
%handles = setupResponseandTrialHistory_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function sets up the GUI response and trial history tables
%
%Inputs:
% handles: handles structure for GUI
%
%
%Written by ML Caras 7.24.2016
global ... |
28ae8a5cdf34788ea21426532ed67f5e86f61206b0126d7551b2a6693adfe28a | MATLAB | 972 | 18 | function compsV = interp_v_fringe_comps(midCompsV, nNodes, nCompsPerSect)
% INTERP_V_FRINGE_COMPS linearly interpolates the voltages on the fringes
% of the available fiber compartments
% compsV = INTERP_V_FRINGE_COMPS(midCompsV, nNodes, nCompsPerSect)
% returns the provided voltages midCompsV enclosed by the... |
2dce31e97a41ff1c5b3aad251eebcef381dcbdcc22cbe9d9d0af57219efab66e | MATLAB | 972 | 31 | function plot_potential_comparison(model1, model2)
disp('Loading potentials...');
V1 = load_potential(model1);
V2 = load_potential(model2);
assert(all(size(V1) == size(V2)), 'Models must have the same number of AS and fascicles');
nV1 = cellfun(@numel, V1);
nV2 = cellfun(@numel, V2);
missing1 = nV1 == 0;
mi... |
98817d390c82248bb14e14e649020505a52cb7f61f5fee72a2ef0a947aaacb57 | MATLAB | 972 | 22 | %NEED TO FIGURE OUT HOW TO RESCALE IMAGE APPROPRIATELY
function [startrt,imagetexture]=display_image(filePath,Window,xCenter,yCenter,screenXpixels,screenYpixels)
im=imread(filePath);
imagetexture=Screen('MakeTexture', Window, im);
framerect = RectOfMatrix(im);
[s1, s2, ~] = size(im);
lengthScr... |
34ea44b77e87ca9079c1aff5bc1c0d1b0d953a147964fd38f7a38045cd13b159 | MATLAB | 973 | 36 | % Concatenates a cell array of strings.
%
% Input arguments:
% adjoiner:
% string separating each neighboring element
% strings:
% a cell array of strings to join
%
% See also: strsplit, cell2mat
% Copyright 2008-2009 Levente Hunyadi
function string = strjoin(adjoiner, strings)
validateattributes(a... |
fb73a60cb787b79dc068c1660bb6b3c7665cead8a2a5c6c66a1d53f8e29903be | MATLAB | 974 | 34 | function comsol_connection()
conf = get_conf();
addpath(conf.comsolDir);
import com.comsol.model.* % Mind that imports have an odd behavior
import com.comsol.model.util.*
try
% ModelUtil.clear() throws ex if not connected
ModelUtil.clear();
catch
try
%ModelUtil.connect(); % Migh... |
6e0b051e2e0d9342f8aaa7a470ee7ce301c18fdadf2e8f87cb35902ed62953e8 | MATLAB | 977 | 25 | function [changes,gotChanges] = analyzetpstack_getChanges(ud,i,newdir,ancestors)
% analyzetpstack_getChanges - get any changes to a cell in analyzetpstack (such as moved, not present, etc)
gotChanges = 0;
if isfield(ud.celldrawinfo,'changes'),
if length(ud.celldrawinfo.changes)>=i,
changes = ud.celldrawinfo... |
8fa0808c3556da1da8a915a6b9dfe11ccd3d6bb84eb50589072bb5abcbfb6372 | MATLAB | 977 | 26 | function [critic] = dlRNN_criticEngine(critic,stim_cond)
critic.et = zeros(numel(critic.w),1);
for t = 1:critic.steps-1
critic.v(t) = sum(critic.w .* critic.x(:,t));
critic.v(t+1) = sum(critic.w .* critic.x(:,t+1));
% where d is TD error, r is reward, v is state value. Next, eligibility traces were upda... |
1e7d40ddaf338882e49a72c19b614b15b3c50a9515411503e9601f246aade45c | MATLAB | 979 | 45 | function ep_SaveDataFcn_GORDON(RUNTIME)
% ep_SaveDataFcn_GORDON(RUNTIME)
%
% Modified default function for saving behavioral data to include recorded
% HeadTracker data.
%
% Stephen Gordon, 2016
for i = 1:RUNTIME.NSubjects
h = msgbox(sprintf('Save Data for ''%s'' in Box ID %d',RUNTIME.TRIALS(i).Subject.Nam... |
9a91271ccd244449d635384837e5abbac9a672e1dca5896fd991d0fb9064c3b7 | MATLAB | 979 | 26 | function index = windingNumberAngles(vx, vy, loc, radius)
% Estimate the winding number (Poincare index) around a circle of radius
% RADIUS centred on the the row and column coordinates in LOC in the vector
% field defined by VX and VY, by computing the angular differences between
% all consecutive vectors.
% First ch... |
3131b1646b118729a5963f79dfcd3121780d5284d77469b1c1da11d1c02361fd | MATLAB | 980 | 35 | function fiberThresh = load_fiber_thresh(model, groupFasc)
arguments
model Model
groupFasc logical = true
end
fascIdsByAs = load_active_sites(model.paths);
nAS = size(fascIdsByAs, 1);
fiberThresh = cell(size(fascIdsByAs)); % iAS x iFasc
missingAS = false(1, nAS);
for iAS = 1:nAS
fiberActive... |
83f8075ae1b20d2a4d6a21f0a8c3b7190317421633c013d88ee0b06b0c650f9b | MATLAB | 980 | 20 | erplabver = '13.10'; % current erplab version
erplabrel = '29-April-2026'; % DOB
erplabdeveloper = 'Winsler,Zhang,Garrett,Simmons';
%ColorB = [170 180 195]/255; % old background color (until version 3)
%ColorB = [0.9216 0.8353 0.6078]; % background color for version 4
%ColorB =... |
3f363185351cdfdc41230b1723ce1f3b80aa40c8d49eadb52a2f62a3e4806baf | MATLAB | 981 | 35 | function [EMGLabel] = EMGdetect(DataEMG,RestEMG)
[Nsamples, ~, Ntrials]=size(DataEMG.x);
Window=0.05; %Duración temporal de la ventana
EMGLabel=zeros(Ntrials,2);
stdRest=std(RestEMG.x);
T=floor(Nsamples)/(Window*DataEMG.s);
for i=1:Ntrials
EMGnumber1... |
5a862ae57916932763f58b2f4c4b677b855d7c3f51d7413cd8261fff74f442e4 | MATLAB | 982 | 34 | function [time_mesh, meshstats] = mesh_report(model)
%% Mesh
% To clear meshes if already computed:
% fem.mesh().clearMeshes();
fprintf(' - Start meshing\n');
start_time_mesh = start_time();
model.mesh('mesh1').run;
time_mesh = finish_time(start_time_mesh);
meshstats = mphmeshstats(model, 'mesh1');
fprintf([... |
80db259db4fcf4fadb263c0aa5b8be87049f6203bcdbd6da5e2348004fb95bf9 | MATLAB | 982 | 40 | function [nfold, folds] = getFolds(s,foldtype)
nBins = s(1);
nImp = s(2);
nUnImp = s(3);
nClu = s(4);
nRep = s(5);
switch foldtype
case 'oddeven'
nfold = 2;
for ff = 1:nfold
fold = zeros(nBins,nImp,nUnImp,1,nRep);
fold(:,:,:,:,ff:2:end) = 1;
% i... |
6be32d3055914c144e1d44df89ca11ac9bff5afa4d2755d6840a481c3d5f909a | MATLAB | 985 | 33 | %% Split up preprocessed denoised data from CONN into sessions for GIFT
sourcedir = 'H:\DataProcessing\conn_project_161208\results\preprocessing';
targdir = 'H:\DataProcessing\PREPROC\DENOISED_DATA';
P = dir(fullfile(sourcedir,'*.nii'));
P = cellfun(@(a) (fullfile(sourcedir,a)),{P.name}','uniformoutput',false);
% P(1... |
9fd6586e8156d1ce8cd3d2b08f999784864e66b05841c314353c418c53ef2733 | MATLAB | 985 | 25 | function [proj,u,s,v] = pcasvd(data)
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/09/2010
%
% pcasvd - Principal Components Analysis via (mean-subtracted) SVD.
%
% Usage:
% [proj,u,s,v] = pcasvd(data)
%
% Description:
% PROJ = PCASVD(DATA), where DATA is an M x N matrix, returns the M x N
% matri... |
e476562b9373f33f605ee5153a242c435d75f4cc1ede4c709c5236878ebeaf30 | MATLAB | 986 | 25 | %% Easily find and extract the x- and y-channel of interest from a trial
% Copyright (C) 2022 Richard Hugh Moulton
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the ... |
36020b90ba85ff34fce37c89bec16ee38c40339508b4ac5cba8856791684971a | MATLAB | 987 | 22 | % This example script assumes that the data in
% https://github.com/filip-szczepankiewicz/Szczepankiewicz_DIB_2019/tree/master/DATA/brain/MD-dMRI
% has been unzipped.
%
% This script requires code from the multidimensional dMRI framework
% https://github.com/markus-nilsson/md-dmri
clear
% Define path to data folder a... |
b177a441142fb6df43e8c8f907533b6161fa05bc5d0640207faf9c4384dc1761 | MATLAB | 991 | 44 | % fresh start
clearvars
close all
%% run config
config_file='config_mammals_1.m';
addpath(strcat(pwd,'/config'))
run(config_file);
%% load data
filename = [ DD_PROC '/MamiNum_corrected_proc_2.csv' ] ;
ssheet = readtable(filename,'Delimiter','\t') ;
%%
rt = readtable([ DD_RAW '/vertLife/proc/vertLife_distmat.txt']... |
bcef56977b797e5eb309b71029a39e9aa21ae37ead82962d13847b5cb4ae1842 | MATLAB | 991 | 29 | function [binnedArray, binCenters] = getPSTH(spikeTimes, eventTimes, window, binSize)
%%% Adapted from psthAndBA from the 'spikes' toolbox (https://github.com/cortex-lab/spikes).
spikeTimes = spikeTimes(:);
eventTimes = sort(eventTimes(:));
spikeTimes = spikeTimes(spikeTimes>min(eventTimes+window(1))... |
c0b9c19faf63282dcf4b17db6f1f5171deaa59d1b32428e73f39712ae76c9e58 | MATLAB | 991 | 42 | function [remind_row,varargout] = findReminderRow_SanesLab(colnames,trials)
%[remind_row,varargout] = findReminderRow_SanesLab(colnames,trials)
%
%Custom function for SanesLab epsych
%
%This function finds the row and column index for the reminder trial
%
%Inputs:
% colnames: cellstring array of column names
% tria... |
395fcec0a09be818b8a9fe20052b837b551744ec0eecb956d924282937f09ddd | MATLAB | 992 | 26 | function el_add(els,elcol,msize)
% Copyright (C) 2006 K.J. Miller
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your o... |
64a2e3280b737a6d0e26e94fa924adaf6792cfd108bf160023f6e4d0dfe09ca0 | MATLAB | 992 | 40 | function [N_points_full,pto,N_faces_full,car,Fid]=read_labels2(name)
fileID = fopen(name,'r');
%Read number of points
format='%s %f %s';
data = textscan(fileID,format,1,'HeaderLines',4,'Delimiter',' ');
N_points_full=data{1,2};
%save points
format=' %f %f %f';
data= textscan(fileID,format,N_points_full,'Col... |
4eb611e4ca9c532c7441c2d9fd952294ef2eb6ec0cee9aee033f3ef26d512b71 | MATLAB | 994 | 34 | %% Convert EMG txt files into matlab files
clearvars
close all
clc
%%
%uncomment and change the address
%address='YOUR\ADDRESS\';
subjects={'S02','S03','S04','S05','S06','S07','S08', 'S09','S10', 'S12', 'S13'};
nSubjects=length(subjects);
runs={'EST','0','1','2','3','4'};
sessions=1;
for s=1:nS... |
da69e9230e8e7d7bdc12ebd9ed7e6e86106b9d1e9f86d162c437af8c32f304da | MATLAB | 994 | 26 | function [X_norm,Y_norm] = get_normalized_from_data_units(ax_orig,xpos_data,ypos_data,axpos)
% Convert the xpos_data and ypos_data vectors, expressed in data units, in
% normalized units.
ax_ylim = ylim(ax_orig) ;
ax_xlim = xlim(ax_orig) ;
if nargin<4
% Annotation: normalized units so that (0,0) is the lo... |
1076ad8e987bf42322b8341ac153a7fbc435c070dbb4ab4164d8142fc09fa2a1 | MATLAB | 995 | 33 | % Creates a scatter plot between x and y, performs a linear regression and
% then displays all the results.
function [f,mdl] = scatterAndRegressionWithCIs(x,y,n,xString,yString,titleString,taskName)
mdl = fitlm(x,y,'linear');
xVals = linspace(min(x),max(x));
[mdlVals,mdlCIs] = predict(mdl,xVals','Alpha',0.05);
titleSt... |
df09c7a8120809dc396a83fcd6051485bb11a01c2b23a3b437b80360e24aa3ad | MATLAB | 995 | 34 | function P = edges_to_polyline(segments)
edgeCoords = reshape(segments, [size(segments, 1)*2 3]);
graphNodes = unique(edgeCoords(:, 1:2), 'rows');
nEdges = size(segments, 1);
G = graph();
for iEdge = 1:nEdges
edge = squeeze(segments(iEdge, :, 1:2));
s = unique(find(ismember(graphNodes, edge(1, :), 'rows'... |
341d64ed31107cfeacfd4707185275f3be9416c4bd51dfe368138acb764515cb | MATLAB | 996 | 34 | % test a call to exp_one_condition.m with dummy parameters
% test_no_LSD = 1 in exp_one_cond
% to check that the whole script can be ran without error (eg when saving data at the end)
fn_dir = ['./all_data_test/'] ;
if ~exist(fn_dir, 'dir') % 0 or 7 if it exists
mkdir(fn_dir)
end
cond_idx = 0 ;
... |
7081189833624846b0123e4da90d887c02a503ef63c2f002cfcb9558801f5dac | MATLAB | 996 | 30 | function tags = rmTags_SanesLab(tags)
%Custom function for SanesLab epsych
%
%This function removes OpenEx/TDT proprietary parameter tags from a cell
%array of tag names
%
%Written by ML Caras 8.1.2016
%Updated by KP 11.05.2016 (keep fileID tags associated with buffers);
% 04.11.2017 (when more than one da... |
ade7b6c6e17f5b0c5b6ebdc9d8ddfeb588189e15378118fcf47e89eefcdb6016 | MATLAB | 996 | 31 | function [windowPtr,ScreenRect,frameRate] = PTB_NormalExpt_Startup(ScreenNum,useBitsPlusPlus,smallScreen)
% [windowPtr,ScreenRect,frameRate] = PTB_NormalExpt_Startup([ScreenNum],[useBitsPlusPlus],[smallScreen])
%
% Daniel.Stolzberg@gmail.com 2016
Screen('Preference', 'SkipSyncTests', 0);
if nargin == 2 && useBitsPlus... |
0a34835b5dbdc82a6a81e979eab4dc9bec5b9c65b18577cb10f2f0543c666bf2 | MATLAB | 999 | 26 | function [beta_tables_taste] = all_taste_betas()
% ALL_TASTE_BETAS read all three taste betas.
% Note: calls connect.read_matfiles_taste for each taste
% Taste strings, current: sour, salt, sweet
taste_str = util.str.taste_strings();
% cell of each taste beta tables
beta_tables_taste.sep = ...
cellfun(@connect.rea... |
2d88e4b0f3deab3c315abaa52b68e917b5a913593355ede4ddfcfb654d194178 | MATLAB | 999 | 27 | function [tc, coefVar]=WaveFilter(coef,NoiseVar);
% Model each detail wavelet coefficient as conditional Gaussian random
% variable and use several two-dimensional moving window to estimate the
% variance of each wavelet coefficient in conjunction with a Wiener-type
% denoising filter
%Input:
% coef: ... |
a50e85b84fc9902918662f254768b9d4ffa6a0f7fccb6601324560b23f645f16 | MATLAB | 1,000 | 17 | %Code by Isaac Arias S - YachayTech University
%Biomedical Engineer Student.
%School of Biological Sciences and Engineering.
clc;close all;clear all;
load netTransfer5; % Database se puede reemplazar por cualquier modelo entrenado
sample_image_folder = fullfile('C:\Users\acer.LAPTOP-5D7SPG9D\Desktop\Isaac\Yachay... |
15c57ecf90ea7ad409f04bd200e264caa34c9553eb45aeec238805dc2fc00ed6 | MATLAB | 1,002 | 40 | function [ IDs, url] = QueryODataIDs( endpoint, query )
%QUERYODATAIDS Runs an OData query and returns a list of IDs
url = [endpoint '/' query];
disp(['Executing OData query: ' url]);
try
data = webread(url, ODataWebOptions());
catch ME
IDs = [];
switch ME.identifier... |
1b3fb4bbed3f30a2c1283941fcd9efa535db2179b2c71126a67c5e4b716f1baa | MATLAB | 1,002 | 40 | function func_SaveFigs(Parm)
% Save all open figures
FileRun = Parm.FileRun;
Stages = Parm.Stage;
Ask = Parm.SaveModels;
if strcmp(Parm.PATH{1}(end),'/')==0
Parm.PATH{1} = [Parm.PATH{1},'/'];
end
if strcmp(Parm.PATH{2}(end),'/')==0
Parm.PATH{2} = [Parm.PATH{2},'/'];
end
FigList = findobj(allchild(0),'flat',... |
a1ca9d17ef3b056b8167fc02c2cc83de2428cd71b3ae5db90fc3304813ab2534 | MATLAB | 1,002 | 52 |
function change_wav_fs()
% Select the folder containing sound stimulus files
[pnst] = uigetdir('D:\stim\','Select folder of stimulus files');
soundfiles = dir([pnst '\*.wav']);
soundfiles = {soundfiles.name};
for iWAV = 1:numel(soundfiles)
% Select sound file(s)
wavfilename = soundfiles{iWAV};
wavfile = importd... |
0924dccbc64f49dd26293c7d66eed3c484b7667391e2449bcb2ed3f0e4fbffc8 | MATLAB | 1,003 | 40 | function bits = Mask2Bits(mask,nbits)
% bits = Mask2Bits(mask)
% bits = Mask2Bits(mask,nbits)
%
% Converts a bitmask to an array of bits.
%
% The input mask must be a scalar integer. An optional second input can be
% specified to determine the number of bits to return
%
% Output will be an array of 1's and... |
3e05ac6f8d7231d06de0bee762cba98b5db14ae6fb80fb07c98df297f9a9d17d | MATLAB | 1,004 | 44 | function [epochEMG]=ExtractTrialsEMG(address,ID, run, DataEMG,opt)
% cargamos los datos de EEG para sincronizar los segmentos de EMG
in_EEG=[address '\EEG\' ID '\' ID '_FILT_S1R' int2str(run)];
load(in_EEG);
target_ind=stims(:,2)==770;
nontarget_ind=stims(:,2)==772;
ind=logical(target_ind+nontarget_ind);
Can... |
55a756bd3a4058f7673d4a36c9de11a0dde1dc225f989be8cf3a09bd995e13a8 | MATLAB | 1,005 | 39 | function [ratio_htt] = compute_directional_preference(gcMat, nl, nr)
% [ratio_htt] = compute_directional_preference(gcMat, nl, nr)
% htt stands for "head-to-tail", or rostral-to-caudal.
%
% compute W_{RC}, the directional bias for ipsilateral links
%
% Input: 1. gcMat: the GC matrix
% 2. nl: numbe... |
c8853e80563ce77b421a32a768f1b72b6de18156b7c05ed197a4446ccbdcfb21 | MATLAB | 1,006 | 45 | function ep_SaveDataFcn(RUNTIME)
% ep_SaveDataFcn(RUNTIME)
%
% Default function fo saving behavioral data
%
% Use ep_RunExpt GUI to specify custom function.
%
% Daniel.Stolzberg@gmail.com 2014
% Copyright (C) 2016 Daniel Stolzberg, PhD
for i = 1:RUNTIME.NSubjects
h = msgbox(sprintf('Save Dat... |
fa3657dc4dcdbcedda505d2f1543ada6282316afc8a94185899e5b111f74b833 | MATLAB | 1,007 | 39 | % Options for the beep sounds
%%%%% (1) default beep
disp('Sound 1 --- press enter') ; pause ;
beep on;
beep
%%%%% (2) sounds (Cedric)
[y1,Fs1] = audioread('Beep.wav');
[y2,Fs2] = audioread('Cue.wav');
[y3,Fs3] = audioread('finish.wav');
% === Long sound
% disp('Sound 2 --- press enter') ; pause ;
... |
94443e64893fe2ed37d2fb4cf8bcd5c98c94628335d63d620a4159759c148db7 | MATLAB | 1,009 | 36 | function [AnswersEmb, AnswersViv, AnswersPci] = QuestionnaireData(patient)
AnswersEmb = [];
AnswersViv = [];
AnswersPci = [];
questionsViv = 2;
questionsPci = 6;
numberConditions = 2;
filename = strcat('Patient', int2str(patient), '/Patient', int2str(patient), 'Questionnaire.... |
15e1a3c599e93e03a7909cc11579ef00645c992ff06c459e565c0abd5786428b | MATLAB | 1,012 | 45 | %Create a serial connection to the pump
clear all;
clc
pump = serial('com1','BaudRate',19200,'DataBits',8,'StopBits',1,'TimerPeriod',0.1);
fopen(pump);
warning('off','MATLAB:serial:fscanf:unsuccessfulRead')
set(pump,'Terminator','CR','Parity','none','FlowControl','none','timeout',0.1);
%% Set up pump parameters.
f... |
4e39b6d25115bd776f6af2bbe8da8bbf5fc9f2b5a28ac4716502372f7dc9af2a | MATLAB | 1,013 | 27 | function [proj_train, proj_test, M, muTimeCourse, mu, sigma, spkData_test_res] = getProj(spkData_train,spkData_test,P)
%%% Will compute the components on the train set, and project the test
%%% set.
%% Get components from the train set
[proj_train, M, muTimeCourse, mu, sigma] = getComponents(spkData_tr... |
a9f9fded8eef8d999e70e2212edb737193fdd00492643ae5763881e99a0282f0 | MATLAB | 1,013 | 39 | function model = qtip_pipe_NLLSdc(model,data,btensors,mask,ind,parallel)
% function model = qtip_pipe_NLLSdc()
%
% reshape data and retain voxels within the mask
siz = size(data);
sizm = size(model);
data = reshape(data, prod(siz(1:3)), siz(4))';
model = reshape(model, prod(sizm(1:3)), sizm(4))';
mask = resha... |
28145fac54b06c0d98c656efe501ea7f998cfe099881477b0eac228bcf66eee9 | MATLAB | 1,016 | 37 | %%This function is to compute the specific time-range for xth columns for
%%GAP setting
function [bindatadjust,Xtimerangeadjust,Xticksadjust] = f_adjustdata_xyrange_xyticks(bindatatrs,Xtimerange,qXticks,offset,NumColumns,PosIndexs,stepX,fs)
bindatadjust = [];
Xtimerangeadjust = [];
Xticksadjust = [];
if isempty(s... |
648712734812e243bf450ed8f2c8471166c9c0ce6bf690e75854e850db93e7ab | MATLAB | 1,016 | 36 | function [fiberActive, recrName] = load_activation(model, iAS, anode)
arguments
model Model
iAS
anode = nan
end
% ... specify activations source file name
if isnan(anode)
recrFile = model.recr_file(iAS);
else
recrFile = model.recr_file_bipolar(iAS, anode);
end
if nargout > 1
[~, r... |
792d3ddf245b065066e860abb350af42217d5687d5e827ab439568f79f47605b | MATLAB | 1,016 | 36 | function [] = plot_single_topo(data_topo, chanlocs, fn_topo, tit_fig, ...
avg_cmap_levels, eps_fig, fig_fig, pdf_fig, topo_style, numC_topo, cmap_topo, add_hc, hc_title)
% Plot data_topo on a topoplot & save.
taille_axis = 24 ;
taille_axis_cbar = 15 ;
if nargin<13
hc_title = '' ;
end
if nargin<12
... |
a79ccb34abf6b7a6071d8b27f6b925b6106df51d638b30bc1104c7eb728f6841 | MATLAB | 1,016 | 34 |
%% This is the program we use to obtian image sequences and mean images
clear;clc;
temp='SONY_A7II_ISO1600';
img_dir =sprintf('G:/dataset_denoising/%s/',temp); %static scenes
out_dir = 'G:/dataset_denoising/added';
imgs = dir(fullfile(img_dir,'*.JPG'));
mean_values = zeros(length(imgs),2);
mean_values(:,2) = [1:l... |
19e72210cb7397c62e5043c5d1f991a78fd6afdf4411404031634d6d14f60a40 | MATLAB | 1,017 | 32 | %% Script to compare the beta values in relation to the animals used in each experiment
% Rinse betas indices all_beatas 31:2:59
util.clearAll;
outdir = fullfile(util.get_paths().figs,'controls', 'animals');
util.mkdir(outdir)
beta_tbl = util.load.beta_table();
%% Split data by animal identity
[G, TID] = findgroups(b... |
132592613760ead534eb4a6551c221a99083c80931262f3cdf9ba51595be3da5 | MATLAB | 1,018 | 26 | function [V, S] = initialiseProblem(cell_models, model_assignments, active)
% Initialises the problem at a number of points specified by N, according
% to the model specified
% Loop over all cell models present in this simulation, processing all
% cells assigned to a single model as one batch
V = zeros(size(model_ass... |
87c09145a237abc7395dc4158b0ded651ddad3677815acc781b04c2e644ce8f0 | MATLAB | 1,021 | 35 | % gets the number of hyperparams for the horseshoe prior
function [dim_H] = getDimH(rank, prior_setup)
if( prior_setup.V.N_scales > 0)
NS = prior_setup.V.N_scales;
else
NS = 0;
end
if(~isfield(prior_setup.V,'N_hyperparams'))
NH = 0;
elseif(isa(prior_setup.V.N_hyperparams, 'function_handle'))
NH = prior... |
8e13ffaefc7feb949072c1ffcf049ecbd931e7c9bf8991a14ab23bb20e16d134 | MATLAB | 1,022 | 28 | function [idx_select_mod, n_tot_epoch, vec_n_epochs] = find_idx_conds(...
lwdata_subj, str_to_find)
% Function used to find the index of conditions with names containing the
% input string 'str_to_find'.
n_mod = size(lwdata_subj,2);
vec_n_epochs = [] ; % vector containing the nb of ep... |
7093a0df5fc74ad5d60f07645cd3ad87fe930de582b6b33857f77b8bda7d7534 | MATLAB | 1,024 | 47 | function calculateAtten
%
% This function selects the hold time from a range of possible times
%
% Required gf parameters:
% attenMin
% attenMax
% attenSteps
% aInd
%
% Parameters generated:
% atten
global gf
% Linerarly spaced array of times from min to max (dB)
gf.attenRange = gf.attenMin :(gf.attenM... |
596f52d8ef02b04799c7d7a29d53fe535830a1cf717928eb5061a4e915888252 | MATLAB | 1,025 | 27 | % netBurstDetection_save.m
% saves the result of NB detection
function netBurstDetection_save(inputFolder, outputFolder, userParameters, NB, NBpattern)
numExp = find_expnum(inputFolder, '_BurstDetectionMAT');
trialFolders = dir(inputFolder);
trialNames = {trialFolders(:).name};
% discard . and ..
trialNames = trialName... |
55201e353fb756d63bfc82acb8faddf75c1658f89b88fd47238a27ecfdd091f8 | MATLAB | 1,026 | 41 | function [ alpha ] = backtracking_line_search(problem, p, x, rho, c)
% Backtracking line search
%
% Inputs:
% problem function (cost/grad/hess)
% p search direction
% x current iterate
% rho backtrack step between (0,1), e.g., 1/2
% c parameter bet... |
681a6a974b5d959dd09e28d8a65e409100cc68e5abf06f2becd2c4ace4809686 | MATLAB | 1,026 | 40 | function visualPolar(h,x,prop)
persistent p p2
%Define the shape and colour of the dot based on elevation and target
%heading
if x(6) <= -1*20
dotColour = 'bo';
elseif x(6) <= 20
if (x(5) > (prop(2,prop(1)) - prop(3))) && (x(5) < (prop(2,prop(1)) + prop(3)))
dotColour = 'g*';
else
dotColou... |
230fdb7dbf4ef47a1ed29c7f51d20cc238f6771b686f2deab8c2769cf38b0967 | MATLAB | 1,027 | 30 | function models = get_models_list_flat()
[modeList, electrodeTypeList, placementList, paramList] = get_models_list();
models = table('Size', [nestedNumel(paramList) 4], 'VariableTypes', {'cellstr', 'cellstr', 'cellstr', 'cellstr'}, ...
'VariableNames', {'Model', 'ElectrodeType', 'Placement', 'Paramset'});
i =... |
52f5015ae2c388fd654667f00d66868fe2c0ebb7173e7c3664e0973e350392e8 | MATLAB | 1,028 | 43 | function BitsTrigger(window,vbl)
% BitsTrigger(window,vbl)
%
% Sets the Bits# trigger out (TrigOut) to send a 1 ms pulse on the next
% call to Screen('Flip',window,vbl). Call this function just prior to the
% Screen('Flip',window) command that you actually want to synchronize with
% the external trigger.
%
% The first... |
8b32b921556b0cb16336b70f52f1733559a6a0f53659e857004535c26cc5ed1e | MATLAB | 1,028 | 50 | function fit1 = fitness_soea20(A1, paramsvec, eegdata1, paramstoest, T1,tcut, fhz1)
paramsinput = [paramsvec, zeros(1,10)];
paramsinput(paramstoest) = A1;
% load in the data to fit against
eegautocor = eegdata1{2};
a2=[];
parfor RunIter = 1:5 % run 5 times for stability: - take the mean value for the fitness fu... |
8c05846914b6c0bd1c38385e100b233bc7be1181e4c312e6e4de05fbf7a2af05 | MATLAB | 1,029 | 30 | %% Setup
util.clearAll;
outdir = fullfile(util.get_paths().python_datadir,'connectivity_matrices');
util.mkdir(outdir)
c = util.plot.getColors();
beta_tables_taste = util.load.all_taste_betas();
%% Write combined matrices
var_strings = {'high_low_betas', 'rinse_Betas'};
save_strings = {'tastant', 'rinse'};
avg_cor_all... |
4a7213572dbfbb025a7f0cc2b0d9dcd4068057d203eaa9c34a4451b37a4dd813 | MATLAB | 1,030 | 33 | function [pgh] = plotBootDistr(meanPl, CIs, xPlotPos, samples)
%plotBootDistr function to plot the distribution of all values from the boostrapping procedure
%
% plotting parameters
alpha_pl = 0.001; % alpha for plotting range of distribution
distWidth = 0.6; % plotting width of the distribution
% create k... |
cbb150393a52acf3f473355f37de958cdf8dd16c895ec5809196841a0a97151d | MATLAB | 1,031 | 39 | function plotScatterHist(c,P,xedges,yedges,nonewfig)
tmpAll = [];
for k = 1:P.nMice
tmpAll = [tmpAll, c{k}];
end
if ~exist('xedges','var')
l = prctile(tmpAll(1,:),[1,99]);
xedges = linspace(l(1),l(2),30);
end
if ~exist('yedges','var')
l = prctile(tmpAll(2,:),[1,99]);
yedges = linspace(l(1),l(2),3... |
ad3d2da1af4743afa4f32a928ff89ade5878a7b6e238eb842ba88ddf04d12cf7 | MATLAB | 1,032 | 49 | % PURPOSE : Compute the default number of row and columns when plot ERP
% waves and this function is based on the ERLAB function in ploterpGUI()
%
% FORMAT :
% f_getrow_columnautowaveplot(plotArray);
%
%
% INPUTS :
%
% plotArray -Index of Grid e.g., [1 2 3 4 5 6 7 8]
% OUTPUTS:
%
% pbox -First... |
f167a90e67233343995d73ba37f56d217d7a14a33f29b15e93055bfbf7f55b8e | MATLAB | 1,033 | 49 | clc; clear; close all
Fig5d=figure();
NN = 500; %number of afferents
N_mu=20; %There are \mu independent embedded patterns, 500 simulations (number of simulations)
Results1=zeros(N_mu,NN); % w_{\it{BPBP}}
Results2=zeros(N_mu,NN); % w_{\it{BP}}
for p1=1:N_mu
try
eval(['load Learnin... |
e6852c4c937d432817141432dc6b1e081b8fc0ef7933df56eb48bc64a3192b1c | MATLAB | 1,034 | 37 | function m = mode_guesser(x,p)
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/09/2010
%
% mode_guesser - guess mode of the
%
% Usage:
% m = mode_guesser(x,p)
%
% Description:
% Guesses mode by looking for location where the data is most tightly
% distributed. This is accomplished by sorting the ve... |
11a9e2d8774670c058200921c4e86a622a342cdd5ebc5215253193cf29b12396 | MATLAB | 1,036 | 33 |
function draw_cross(key,Window,xCenter,yCenter,cross_coords,duration)
startTime=GetSecs;
Screen('BlendFunction', Window, 'GL_SRC_ALPHA', 'GL_ONE_MINUS_SRC_ALPHA');
% Draw the fixation cross in white, set it to the center of our screen and set good quality antialiasing
Screen('DrawLines', Window,... |
73fa9f72f84f26950de9268497fd357578153fe7ffd8317b2d9a0628d8fa16c2 | MATLAB | 1,037 | 37 | % Fetches the value of the named property of an object or structure.
% This function can deal with nested properties.
%
% Input arguments:
% obj:
% the handle or value object the value should be assigned to
% name:
% a property name with dot (.) separating property names at
% different hierarchy levels... |
1914ee44029784ed1ef6797e03259454b218ed27a8ffcf624005c9149c179e19 | MATLAB | 1,038 | 37 | function inf=fluoview_tiffinfo(imgname)
%FLUOVIEW_TIFFINFO parses image description information from Olympus Fluoview Multitiff
%
% INF=FLUOVIEW_TIFFINFO( FNAME )
%
% 2008, Alexander Heimel & Danielle van Versendaal
%
inf=imfinfo(imgname);
% parsing inf.ImageDescription
% only of first info structure (subsequent ti... |
7ddbd2b92f6f0bce3f17cec36a0be63845be51288334106c1abf39bdf4248277 | MATLAB | 1,038 | 32 | function [Accuracy,auc,C,probs] = DeepInsight_test_CAM(dset,Out)
% [Accuracy,auc] = DeepInsight_test_CAM(dset,Out)
%Out.bestIdx = BayesObject.IndexOfMinimumTrace(end);
%Out.fileName = BayesObject.UserDataTrace{Out.bestIdx};
auc=[];
current_dir=pwd;
cd DeepResults
savedStruct = load(Out.fileName);
%Out.valError = saved... |
de1b14998d556d913088c6cf6cddd3749d4bb05d9e6a7821e82a34ad1892fb3a | MATLAB | 1,038 | 36 | %% run simulation and save results
load('optimized_params.mat');
glmprs = setup_sim(params);
[~,sps,Itot, Istm,] = run_sim(glmprs); % Simulate GLM response
save('sim_results.mat', 'sps', 'Itot', 'Istm', '-v7.3');
%% Animate results and save as an .avi file
load('optimized_params.mat');
figure
v = VideoWriter('burst_an... |
3bad6b00aa94fd40f22912d258a6b29f9ce24b0d84527b90ac85d66d3a2abb68 | MATLAB | 1,039 | 46 | function CAMshow(im,CAM)
imSize = size(im);
if length(imSize)>2
if imSize(3)==1
im=cat(3,im,im,im);
end
elseif length(imSize)==2
im=cat(3,im,im,im);
end
CAM = imresize(CAM,imSize(1:2));
CAM = normalizeImage(CAM);
CAM(CAM<0.2) = 0;
cmap = jet(255).*linspace(0,1,255)';
CAM = ind2rgb(uint8(CAM*255),cm... |
f08636f317b9c3e9dd1bf62dd1dfb8b87216d92aeaab31571aa0113947302eeb | MATLAB | 1,039 | 27 | %% Copy one task's metadata into another struct
% Not all tasks have the exact same set of features, but it should still
% be possible to include them.
% Copyright (C) 2022 Richard Hugh Moulton
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public... |
48436f27e0dd819a208a3fb667a4367f8541a86b653d5103188efa08e6254dc4 | MATLAB | 1,042 | 45 | function C = TrialFcn_Gabor(C)
% Create a parameterised Gabor grating using the function "Gabor" and
% Psychtoolbox
persistent win w vbl
if C.tidx == 1
% Screen('Preference','SkipSyncTests', true);
win = 3;
w=Screen('OpenWindow',win, 128);
vbl = [];
end
if C.FINISHED || C.HALTED
Screen... |
9ed1975209710f4e8c3c188a33319e07cd15228e1b55fa4d3dfa8d3721dc6fc2 | MATLAB | 1,042 | 35 | function y=view_spatialtemporal_evolve(Ve)
% look at the spatial evolution of the simulated data
% Ve is a N x N x L array to record the simulated data in L steps
figure;
set(gcf,'Position',[100,50,450,400]);
L=size(Ve,3);
% wrap = vertcat(jet,flipud(jet));
% Ve=Ve(:,2:L-1);
for step=1:L
pcolor(Ve(:,:,step)); s... |
eb5309b65376c8588b844999167cc4027d128bb68b273341bef53f1b3ab4efe2 | MATLAB | 1,044 | 36 | function [ratio_ipsi] = compute_ipsi_vs_contra(gcMat, nl, nr)
% [ratio_ipsi] = compute_ipsi_vs_contra(gcMat, nl, nr)
%
% compute W_{IC}, the directional bias for ipsilateral links
%
% Input: 1. gcMat: the GC matrix
% 2. nl: number of neurons on the left chain
% 3. nr: number of neu... |
321966de2a4c617decd450d71171701dcf97e61f25f98f0da1e9705c68844bf8 | MATLAB | 1,047 | 37 |
function mvpc2memory(MVPC,indx)
mvpcm = findobj('tag','linmvpc');
nmvpcset = length(mvpcm);
for s = 1:nmvpcset
if s == nmvpcset-indx+1 %bottomup to topdown counting
set(mvpcm(s),'checked','on');
set(mvpcm(s),'ForegroundColor','#0072BD');
menutitle = ['MVPCset ' ...
num2... |
aac380620d3c5c4c032fb321fb816db3b5e9f2b9e166708779db49c350682d76 | MATLAB | 1,047 | 37 |
function best2memory(BEST,indx)
bestm = findobj('tag','linbest');
nbestset = length(bestm);
for s = 1:nbestset
if s == nbestset-indx+1 %bottomup to topdown counting
set(bestm(s),'checked','on');
set(bestm(s),'ForegroundColor','#0072BD');
menutitle = ['BESTset ' ...
num2... |
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