sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
1452d80219b419733c0c856369bdb219a35c164a4ae96ab2319eb1df85257e94 | MATLAB | 1,024 | 35 | function Find_RepPar(idxNE,idxEX,MSPoI,gr,respath,at_name,brainregs)
% This function find the Representative partition across iteration of
% the MLCD
DataPar = {};
for gI = 1:length(gr)
if gI == 1; idxgr = idxNE;elseif gI == 2; idxgr = idxEX;else; idxgr = [idxNE,idxEX];end
for Reg = 1... |
a099cd1bf15f9e2c30494d4e7dc58ce60d20f50451937e2f16a3ea5607779a62 | MATLAB | 1,024 | 41 | function buttonBool = buttonRepeatContinue()
% Create the buttons
button1 = uicontrol('Style', 'pushbutton', 'String', 'Repeat', ...
'Position', [500 50 100 30], 'Callback', @pressbutton1);
button2 = uicontrol('Style', 'pushbutton', 'String', 'Continue', ...
'Position', [650 50 100 30], 'Callback', @... |
0e75794cf60b387306e435ab63b1c305c37d2ac9bc89fced48785daac6d1e2a7 | MATLAB | 1,025 | 41 | anadir='/home/romain/data/spectro/PROTO_SPECTRO_DYST/anat/';
spec_nii_dir = '/home/romain/data/spectro/PROTO_SPECTRO_DYST/fid_pos_nii/';
jobs = {};
log_file='log_coreg.log';
d=dir(fullfile(anadir,'*_E*'));
spm('defaults','FMRI');
for k=1:length(d)
T2dir = dir(fullfile(anadir,d(k).name,'*T2_TSE*'));
if length... |
b19ba16e98132a642da5103dcf56d81f64a6c8a3cb7de32938b4b84de0a84338 | MATLAB | 1,025 | 27 | function LFMm=hbf_LFM_B_LC(bmeshes,coils,TB,spos,sdir)
% HBF_LFM_B_LC builds magnetic lead field matrix based
%
% LFM=HBF_LFM_B_LC(meshes,coils,TB,spos,sdir)
% LFM=HBF_LFM_B_LC(meshes,coils,TB,spos)
% meshes: BEM geometry, cell array of hbf structs
% coils: coil description, hbf struct
% TB: TB matrix built ... |
2442db8753bc9c3a5105aacf559396c5472d06b086ef22f80f9986c6378d93da | MATLAB | 1,026 | 41 | function dist=KLDiv(P,Q)
% dist = KLDiv(P,Q) Kullback-Leibler divergence of two discrete probability
% distributions
% P and Q are automatically normalised to have the sum of one on rows
% have the length of one at each
% P = n x nbins
% Q = 1 x nbins or n x nbins(one to one)
% dist = n x 1
if size... |
74d871da788aab73452a963c9e3a034ad55a96571e41369d6518bf2f7a32f15f | MATLAB | 1,027 | 37 | classdef (Hidden) file_handle < handle
%
% Class:
% adi.file_handle
%
% This class is simply meant to hold the reference to an open file.
% When no one holds it the file will be closed.
properties
pointer_value %Pointer to the file object in the mex code. This gets
... |
140f06e8b08d6dd146cde74746d0633b896526add39ffb94e543a29b5807b4bb | MATLAB | 1,029 | 49 | function [do subdir varargout] = get_parent_path(di,level)
%level if level
if exist('level')
concat=0;
if level<0, level=abs(level); concat=1; end
do=di;
for k=1:level
[do subdir] = get_parent_path(do);
if (nargout-1>k)
varargout{nargout-1-k} = subdir;
... |
9d4d7ee4cc0e2877f58f7f8f62f330b594e88d8d6f2ac7562366acb7d7e71d48 | MATLAB | 1,029 | 39 | function reportrecipeName
% Report the name of the sample in the recipe alongside the file name of the pStack file
%
% Purpose
% Used to look for cases where the pStack file has the wrong recipe
% Pulls all pStack files in the current directory and sub-dirs.
% Run from directory in question. No ... |
29c7bd188646424106b394889c44c4bbebdd813de41bb512a3840cf34c067145 | MATLAB | 1,030 | 29 | % Copyright 2024 Eelke Spaak, Donders Institute.
% See https://github.com/Spaak/rift-phase-and-visibility for readme/license.
% Belongs with:
% Spaak, E., Bouwkamp, F. G., & de Lange, F. P. (2024). Perceptual foundation and extension
% to phase tagging for rapid invisible frequency tagging (RIFT). Imaging Neuroscie... |
55189353ed4434ccdcd8d722c7018c3e69b7b3d79c6a3364bc2d51a7e85e82bf | MATLAB | 1,030 | 36 | function H=EntropyMarkov(P1,P2)
number_states=size(P1,1);
[V,D] = eig( P1' ); % eigendecomp of P' (P=transition matrix)
[~,ii]= max(diag(D)) ;
st = V(:,ii);
p1 = abs(st)/sum(abs(st)); % p(i) (stationary!)
% Remark: you could also get an estimate of p(i) directly from the observations
% p(i) = sum( state =... |
e78e9245b5d7d35dc8d06e89f27d206c5feb09f963d3a295d7d1904ce004b1eb | MATLAB | 1,030 | 41 | function buttonBool = buttonTrueFalse()
% Create the buttons
button1 = uicontrol('Style', 'pushbutton', 'String', 'BurstCheck', ...
'Position', [200 50 100 30], 'Callback', @pressButton1);
button2 = uicontrol('Style', 'pushbutton', 'String', 'NoBurstCheck', ...
'Position', [350 50 100 30], 'Callback'... |
ef4ecdfe2c1a51e3b41b37b0baf07f0826c8886d7e0deb22571bf7ddde9d73fd | MATLAB | 1,030 | 33 | function t = struct2table_open(s)
% Initialize variables
vars = fieldnames(s);
n = length(vars);
nested_vars = fieldnames(s.(vars{1}));
m = length(nested_vars);
t = table;
% Iterate over each field of the structure
for i = 1:n
% Get the field name and its contents
var_n... |
3a3ca673f8e24a00b941a7afa75bab9e54b56973c56789f531dccbf8486fbeb0 | MATLAB | 1,034 | 29 | %% code for saving images as jpeg with the actual size
% Downloaded from here: http://www.mathworks.com/matlabcentral/answers/102382-how-do-i-specify-the-output-sizes-of-jpeg-png-and-tiff-images-when-using-the-print-function-in-mat
function screen2jpeg(filename)
%SCREEN2JPEG Generate a JPEG file of the current figure w... |
7ed57e359ee9daac0ccb9416630300a55f3c1c40492a83d9fb706f8c52a39e03 | MATLAB | 1,035 | 30 | function [node,link,cell] = OCY_filter_nodes(node,link,cell,cells,filterthr)
disp 'changed'
THR_DIST = filterthr; % same or shorter links will be joined to a node
THR_BRANCH = filterthr; % same or shorter branches are removed
w = size(cells,1);
l = size(cells,2);
h = size(cells,3);
% filtering: remove links fr... |
ec155eb69b814015145091eaeaa492cd941c4a8c8b9f80acb2e9f864c699f1e2 | MATLAB | 1,035 | 32 | function [param_inds, param_ind_d] = compute_param_inds(...
folder_fit,...
subgroups,...
idx_subgroups,...
subgroup_names,...
flag_log_mu)
fit_r = load([folder_fit '/fit.mat']);
nb_animals = 0;
for idx_subgroup = 1:length(subgroups)
nb_animals = nb_animals + length(subgroups(idx_subgrou... |
8e927e49a8c50c258ff36c58e69887447c42e720a55e99c525bb149923237a35 | MATLAB | 1,037 | 37 | % clear
close all;
% r = load('results_testProcessSeizureEEG10_Multiple_ICA_all_cases.txt');
% r = load('results_testProcessSeizureEEG10_Multiple_ICA_all_cases_with_angles.txt');
% r = load('results_ICA.txt');
r = data;
% bins = 0:.01:1;
% bins = -10:.5:50;
bins = 30;%0:1:100;
column = 4;
subject = 1;%(r(:, 1) == 5);... |
cdface6cd3cc0d160a5849d51c0d6fc7e16bf490d23a3b9c5da03e1a1d856472 | MATLAB | 1,037 | 35 | Centroids=[1 2;1 8;2 2;3 8;4 1;4 5;4 6;7 1;8 4;9 7];
szCent=size(Centroids);
NumPointsPerClust=25;
AllPoints=nan(szCent(1)*NumPointsPerClust,szCent(2));
RealClusterIDs=nan(szCent(1)*NumPointsPerClust,1);
NoiseSpread=0.333;
for i=1:szCent
tPoints=(randn(NumPointsPerClust,2).*NoiseSpread)+Centroids(i,:);
%Squash ... |
e566d2760109fe345af5e1455af1f139e6f3b91b6d8229b63e62c1834be62ff4 | MATLAB | 1,037 | 37 | [cols,alpha] = chooseColors;
rep_mean = squeeze(mean(mean_acc));
figure('Position',[100 100 300 300])
hold on
plot(rep_mean'*100)
xlim([0 31])
set(gca,'XTick',[0 5 10 15 20 25 30])
set(gca,'XTickLabel',[-1 0 1 2 3 4 5])
xlabel('Time (s)')
ylabel('Accuracy (%)')
% indicate tone start and action start
plot([5 5],[40... |
e6c86b38e7f8fc23978203b83cc9122fa5186a4ccaf1a84478bd04395c5e3a30 | MATLAB | 1,037 | 49 | clc, clear;
addpath('OTF');
addpath('XxUtils');
%% calculate OTF0
OTFPath = 'Detection_OTF_488.mrc';
OTFPath_Simul = '/media/zkyd/New Volume1/IsotropicRecon/B23/OTFs/OTF0.tif';
SaveOTF0 = '/media/zkyd/New Volume1/IsotropicRecon/B23/OTFs_Exp/OTF0.tif';
SaveOTF1 = '/media/zkyd/New Volume1/IsotropicRecon/B23/OTFs_Exp/OTF... |
c56ecd689167861fd33dba1e7692a242c2dc7fa051b7060bd86f2b6dca231096 | MATLAB | 1,038 | 39 | function [index1,index2] = angle_order(Nnum)
% Auto angle order generation for tomographic reconstrcution
%
% The Code is created based on the method described in the following paper
% [1] ZHI LU etc,
% "A practical guide to scanning light-field microscopy with digital adaptive optics"
% Nature ... |
3822393df498af7a65c6e790ebbe646845f8175998e2dcc509b881dfe015525d | MATLAB | 1,041 | 33 | function h = RaguTanovaSubplot(nr,nc,r,c,Color)
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
r_width = 0.5 / nc;
r_height = 0.95 / nr;
Position = [(0.05 + (c-1) * r_width) (0.05 + (nr-r) * r_height) (r_width - 0.04) (r_height - 0.08) ];
h = subplot('Pos... |
73349d87c5e1dd33e3ea74790de6003c5395c1fe9dec38e67380604444bef71d | MATLAB | 1,041 | 30 | function [ outputImage,lfi ] = filterImage( image, cutoffFilter, padSize, fType )
%FILTERIMAGE performs frequency domain filtering
% pad the array to remove edge effects
inputImage = padarray(image,[padSize padSize],'symmetric');
% do fft
inputImageFFT = fft2(inputImage);
inputImageFFT = fftshift... |
d6bdc49567175d2ca3b3e9a49f798026f52d1e869dfd688f6dd2c35ae3f0bdb6 | MATLAB | 1,041 | 35 | clear
clc
%%
%save only Intensity encoding + IR
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
%%
window_names = {'ON', 'Sustanied', 'OFF'};
for ... |
3054ad924ccc99f65be81a2a23da45542ebb99577d695e1383b52dab8b03e99a | MATLAB | 1,042 | 30 | % ir_mex_build_table
% run matlab's "mex" command to "compile" the table interpolation code
% into mex files.
% only users on unsupported systems, e.g., PCs, will need to do this
dir_current = pwd;
dir_nufft = path_find_dir('nufft');
dir_table = [dir_nufft filesep 'table'];
cd(dir_table)
% mex compile command with op... |
7693d17eedf5dd2ffa3ee2aac93f020c4d3c5183c97cbbcfec332294df9956c0 | MATLAB | 1,042 | 30 | % Convert and save data to HDF5 format for Domenico
%load('Atlas_Model\10-2p5_Model\refpts_10-2p5.mat');
%posScalp = refpts_10_2p5;
%load('Atlas_Model\10-2p5_Model\GMDownsampledMesh_DF_2_5.mat');
%posGM = GMSurfaceMesh.node(:,1:3);
%nposGM = length(posGM);
%h5create('posScalp.h5','/posScalp',size(posScalp))
... |
138ca05065db5bb94234e7ce7c0ce13c34755c22241e865031ca74892d85452b | MATLAB | 1,043 | 27 | function [deepnet,y,Testing_Frames,Testing_Classes]= Digit_Classigication_StackedAutoencoders_NN_Index()
tmp = matlab.desktop.editor.getActive;
cd(fileparts(tmp.Filename));
if isunix
cd ../../..;
else
cd ..\..\..;
end
addpath(genpath(pwd));
Frame_Half_Size = 10; % 10 = 21X21 ; 12 = 25X25 ... |
578de77b143ae521b16ff1df2ade1c871f01752fc451fe22302bcc8c0747841d | MATLAB | 1,043 | 31 | function [ err_trials ] = collect_full_error_trials_per_ses(p, traces, bvs, tis,speed_control)
spd_dims = 18:22; %dlc
pre_steps = 5;
post_steps = 50+20;
for sub = 1:p.nSubjects
% collect error trials
for ses = 1:p.nSessions
err_trials{sub,ses} = [];
if any(s... |
aa05368fa8937a07bf027d62fd8497b9322c57fa943a9fb6e780afe8b14d1ad4 | MATLAB | 1,043 | 23 | function newCoords = convert2Dto3D(coords2D, point1, point2, point3)
% convert2Dto3D converts 2D coordinates to 3D coordinates using 3 reference points
% in 3D space
%
% coords2D: a Nx2 matrix of 2D coordinates to be converted to 3D
% point1: a 1x3 vector representing the 3D coordinates of the first reference point... |
027a74b1c84f5c366eccc01d58af66e896f2c010d2976c1c08aed55e101bfa3e | MATLAB | 1,045 | 40 | function update_signal_popup(app)
%UPATE_SIGNAL_POPUP updates the selection options for all popup menues
%for the selection of specific signals. to be called after calulation of
%derived signals
% Detailed explanation goes here
if ~isempty(app.data)
name = vertcat(app.data.name);
if length(app.data) < 2
... |
693b90dcb26bc17faa35dff76e2fd70cdce70d0859db6b2b83dae4c3e3c8d2f8 | MATLAB | 1,045 | 40 | function run(obj)
%RUN Run commands
if obj.isError
error(obj.errMsg);
elseif obj.isCompleted
warning('command ''%s'' completed successfully; to rerun, use rerun()', obj.cmd);
return;
end
% DETECT SPIKES
gpuDetect = obj.hCfg.useGPU; % save this in case useGPU is disable... |
82c1dd57a878f9e68f2fb8ebae7108c614cf02a5c69ad0264b375ffd6fa38787 | MATLAB | 1,046 | 43 | function y = fix_filter(x)
% fix_filter (in case signal processing toolbox is not available).
% filters data x with an eliptic passband between [300 3000] Hz.
a = [1.0000 -2.3930 2.0859 -0.9413 0.2502];
b = [0.1966 -0.0167 -0.3598 -0.0167 0.1966];
x = x(:);
len = size(x,1);
b = b(:).';
a = a(:).';
nb = length(b)... |
dc0bc75af9e073359442a13362966207d698f4620d471fae75e1d829fe2c3c18 | MATLAB | 1,047 | 47 | % quick look at the decay times of calcium transients
p = params_2DAA
for sub = 1:p.nSubjects
thisSub = p.subjects(sub);
fpath = ['G:\E7_2DAA\miniscope\subject' num2str(thisSub) '\jointExtraction\sorted\eventData.mat'];
load(fpath,'eventTraces')
all_ev_mat = [];
for c = 1:100 % only take first 1... |
fedaa5a1c67672f94902db1491786b8ffaa54dab4f0b0e87536aabc4499b6fe4 | MATLAB | 1,047 | 32 | % add ramp 2 all data
clear
clc
%% run
%load all data
[file, path] = uigetfile('*.mat');%When the user clicks the load data button, a window should open to enable the user to select a file.
datafile = fullfile(path, file); %save path
load(datafile)
if iscell(all_data)
all_data = all_data{1,1};
end
cells = fieldnam... |
4aa2c8ac741767585df4eb4b62c8f6475dd495b372ea87a04a643dd5cea71922 | MATLAB | 1,048 | 46 | function ind = ChannelIndex6(x,ff,th)
% Channel selection based on peak-detection
%
% Reza Sameni
% December 2008
L1 = size(x,1);
L2 = size(x,2);
rng = floor(1/(2*ff));
% prefiltering
% load FiltCoefs Num
% x = filter(Num,1,x')';
% x = x.^2; % + and - peaks are both acceptable
x = abs(x); % + and ... |
c5a5ae0ae94cfa2180c618895f8761a8d4e92682b30304adfb28ac22e5e6ef93 | MATLAB | 1,048 | 29 | close all
fs = 15000; %sampling rate (Hz)
spk_count=[];
%gain
duration = 40; %trial duration
bin_duration = 0.2;
n_bins = duration / bin_duration;
bin_size = bin_duration * fs;
name= ([current_p0;current_p200;current_p400;current_p600;current_p800;current_p1000]);
% name=([current_p0_ser;current_p200_ser;curr... |
43ebad3723c2f4c13487a9c7db3367998d97d0bbfb72a79216652a9c13eeec3d | MATLAB | 1,049 | 33 | if temps(end) < 500
plot(ax1, temps(1:diagnosis_index), Vp(1:diagnosis_index))
hold on
plot(ax1, temps(diagnosis_index+1:end), Vp(diagnosis_index+1:end), '--')
if k <= diagnosis_index
plot(ax1, temps(k) - T1, Vp(k), 'or', 'MarkerFaceColor', 'r');
else
plot(ax1, temps(k) - T1, Vp(k), ... |
8d8b2d7ce61d7b0bab4b0456c649156f21d555eb639fa9052087277c7bb173d7 | MATLAB | 1,049 | 40 | function update_signal_popup(app)
%UPATE_SIGNAL_POPUP updates the selection options for all popup menues
%for the selection of specific signals. to be called after calulation of
%derived signals
% Detailed explanation goes here
if ~isempty(app.data)
name = vertcat(app.data.name);
if length(app.data) < 2
... |
5157dcddec40c370270121a9f845aaa5a9b2044aae2112721690bbdb6355a37b | MATLAB | 1,050 | 42 | function e = sph2euc_dist(s)
%SPHE2EUC_DIST Convert spherical to Euclidean distance
%
%Syntax
% e = sph2euc_dist(s);
%
%Description
% E = SPHE2EUC_DIST (S) converts the spherical distance S to Euclidean
% distance E, using a formula which is valid for the unit sphere in all
% dimensions.
%
% The argument S must be a re... |
1e6add99a0da0d9b1f8d75326f8199a52d45e78579c77413c319b1143b44a246 | MATLAB | 1,052 | 50 | %Function to threshold the output of the Warnick model according to a
%nominal false detection rate.
function est_graph = bdfc_fdr_thresh(ryan,rate,plotting)
%% Arguements
%Inputs
%ryan: the output from the warnick model. Should be a structure
%rate: the nominal false detection rate with which to threshold
%plotting... |
25996bf69a71b66240b0dc5fdfae0de01ff2426d1b30d48e9b8957c5b87253c5 | MATLAB | 1,052 | 23 | function exportTraces(obj)
%EXPORTTRACES Export traces from selected cluster to workspace
spikesFilt = obj.hClust.spikesFilt;
spikesRaw = obj.hClust.spikesRaw;
iCluster = obj.selected(1);
clusterSpikes = obj.hClust.spikesByCluster{iCluster};
nSpikes = numel(clusterSpikes);
shapeFilt = [size... |
8d3f8870863a1854358a5392b98a59491e76471500b9bfce08289cc5ef7fe901 | MATLAB | 1,055 | 46 | function mat = one_hot_encoding(A, device)
% Define one-hot encoding based on A.
%
% Parameters:
% A: vector
% A vector of size (1 x N)
%
%
% Examples
% --------
% A = [1, 1, 1, 4, 5, 6, 1]
% one_hot_encoding(A)
% array([[1., 0., 0., 0.],
% [1., 0., 0., 0.],
% ... |
e89b4c256e1d074b7e24147fdb6627446e936e785d2784941d716e9dfeafb296 | MATLAB | 1,058 | 34 | %% Select_Raster Script and RASTER FEATURES ********************************
% INPUT:
% fs,
% Raster_Condition: Cell off ALL cells x Frames
% XY: ALL Coordinates
% Names_Conditions: Condition Names
% Experiment: Experiment ID
% ESTSIGNALS: Denoised Signals (Transients Com... |
b8cc0966f1c362af3c3453cfc19fd49e597a62e87b065b49f4a2e4f1ff5d1ae3 | MATLAB | 1,059 | 44 | function handle = XxWriteMRC_SmallEndian(handle, image, header)
position=ftell(handle);
switch header(4)
case 6
dataclass='uint16';
case 4
dataclass='complex';
case 2
dataclass='single';
end
if position==-1
fprintf('Invalid MRC file handle\n');
return;
end
if position>... |
95b9a59b5ea837e7748833bfe69188b346783189cc8162d45333c61d62c93010 | MATLAB | 1,060 | 31 | function Backprojection = backwardProjectGPU(psf,projection)
%% Backprojection from 2D projetion to 3D volume (using GPU)
%% Input:
% @psf: the phase space PSF
% @projection: the projection obtained from "forward project".
%% Output:
% Backprojection: estimate volume
%
% [1] JIAMIN WU, ZHI LU and DONG JIANG etc... |
b21c847fd5c4d72e42c69991b0d6dfe5565adfcdc879d941e4a3f44aa1e5e159 | MATLAB | 1,060 | 28 | %% plot right vs left form brain render table
clear
clc
[file, path] = uigetfile('clusters.csv','MultiSelect','off');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
T = readtable(datafile);
%%
%left_side
L_IR ... |
04732728000f90fe347837306f1caf0fe34deb4e77bc671812af7ee9cab3ec67 | MATLAB | 1,061 | 30 | function matlab_time = unixToMatlab(unix_time,utc_offset)
%unixTimeToMatlabTime Converts unix time to Matlab time
%
% matlab_time = sl.datetime.unixToMatlab(unix_time,*utc_offset)
%
% INPUTS
% =======================================================================
% unixTime - (element or vector), unix time... |
7614be50aebf376cce85549d283324fc01aa6f19a205018dfd2b02c48e1d34a2 | MATLAB | 1,061 | 37 | function parsave (savefile,varargin)
% parsave v1.0.0 (June 2016).
% parsave allows to save variables to a .mat-file while in a parfor loop.
% This is not possible using the regular 'save' command.
%
% SYNTAX: parsave(FileName,Variable1,Variable2,...)
%
% NOTE: Unlike 'save', do NOT pass the variable names to this fu... |
609b32cdd046f7194b4686a44e7d2bb994e21639ce43f903086d01222776c294 | MATLAB | 1,062 | 36 | function flag = recover(obj, ask)
%RECOVER Inconsistent data recovery, with a hammer
if nargin < 2
ask = 0;
end
flag = recover@jrclust.interfaces.Clustering(obj, ask);
if flag < 1
return;
end
% update cluster centers
if flag == 2 || ismember('clusterCenters', obj.incons... |
9839b1b4fbabd718e1730460e49562c267e00b70a4a3e0e196403bc0733db0ef | MATLAB | 1,062 | 38 | % opens a Cartool electrode coordinates file (.els)
%
% Cartool: http://brainmapping.unige.ch/Cartool.htm
%
% author of this script: pierre.megevand@medecine.unige.ch
% check whether filename exists
if exist('filename')==0
error('filename is not defined')
end
% open filename for reading in text mode
fid=fopen(op... |
0a1a549a4a6a0a5ace63c930b2186e30213cdb07f4e11675a7e4ed67425ed59a | MATLAB | 1,063 | 34 | % Copyright 2024 Eelke Spaak, Donders Institute.
% See https://github.com/Spaak/rift-phase-and-visibility for readme/license.
% Belongs with:
% Spaak, E., Bouwkamp, F. G., & de Lange, F. P. (2024). Perceptual foundation and extension
% to phase tagging for rapid invisible frequency tagging (RIFT). Imaging Neuroscie... |
bd6597c14a4996ea4befcc50bb0524eb56d702ba2525c6a3fcf82b18082e8515 | MATLAB | 1,063 | 34 | clc
clear
close all;
load('testdata.mat');
fs = 1000; % sampling frequency
template_start = 3420; % beginning of reference beat segment
template_stop = 3490; % end of reference beat segment
wlen = round(0.05*fs); % averaging window length
type = 'mean';
PP_diff_th = 50;
PP_diff_wlen = 3;
average_peak_det_rate = 1.0;
p... |
e67cf07bdcfc97fc371bc86f265b3405127d1db2e32c191b859326170a249dd1 | MATLAB | 1,063 | 39 | function [data_strct] = makeFTstruct(data_mat,fs,ch_table,sens_info)
% take info from tsv and data matrix and make fieldTrip friendly data
% structure
%
% data_f...nchan x nsam x n trials data matrix
%
% fs...sampling frequency
%
% ch_table...table with fields:
% name - containing n_chan x 1 cell array with
% ... |
31eb93de0aa888aed3f31f55fe499458a0f32f1770c259467e6f27e713437b1e | MATLAB | 1,064 | 29 | function [xy_long,xy] = Hough_Midline_Detection(closeBW)
[H,T,R] = hough(closeBW);
% imshow(H,[],'XData',T,'YData',R,'InitialMagnification','fit'); xlabel('\theta'), ylabel('\rho'); axis on, axis normal, hold on;
P = houghpeaks(H,5,'threshold',ceil(0.3*max(H(:)))); x = T(P(:,2)); y = R(P(:,1)); plot(... |
927de765cef9c919d6e98ab6930b846b0206ebaa6f314227f2b9df31b3763014 | MATLAB | 1,064 | 47 | function [numberOfNeurons] = editor_precount1 (neuron, pathname, filename)
if isempty(lasterror) == 0 %c'è errore
[filename, pathname] = uigetfile({'*.jpg;*.tif;*.bmp;*.png;*.gif','All Image Files'}, 'Pick an image');
str = strcat(pathname, filename); %complete directory
neuron ... |
cb3ac00106ad006b5f99e39b97c379b9cc10b9a74f9dd10b27d74ac53411bb1e | MATLAB | 1,065 | 41 | %%
[cols,alpha] = chooseColors;
dc_mean = squeeze(mean(eval_accs,1));
rep_mean = squeeze(mean(dc_mean,4));
ae_mean = squeeze(mean(rep_mean,3));
figure('Position',[100 100 300 300])
hold on
plot(ae_mean'*100)
xlim([0 21])
set(gca,'XTick',[0 5 10 15 20])
set(gca,'XTickLabel',[-3 -2 -1 0 1])
xlabel('Time (s)')
ylabel('... |
fcaeeb6ad65f650355f7236669f658403c42d21624e5c693aa77d649cd66df69 | MATLAB | 1,065 | 29 | % Settings
start_time = 55; % seconds
% Signal 1
fs1 = 10000; % Sampling frequency [Hz]
f1 = 0.01; % Signal frequency [Hz]
duration1 = 100; % Let's say 100 seconds duration
t1 = start_time + (0:1/fs1:duration1-1/fs1); % timestamps
signal1 = sin(2*pi*f1*(t1 - start_time)); % remove start offset for pure sine
% Signa... |
fd1a88d85a0f8adf2a176aacda5e2690d047aae248403404cfb77babe3846e0a | MATLAB | 1,065 | 29 | %Recursive Zonal Equal Area Sphere Partitioning: Illustrations
%
% Recursive Zonal Equal Area (EQ) Sphere Partitioning Toolbox.
% Release 1.10 2005-06-01
%
%Functions by category
%=====================
%
% Illustration of EQ Partitions of S^2 or S^3
% show_s2_partition 3D illustration of an EQ partition of S^2
% ... |
7e85892be57e1858fc6a6206ef333bcfa175e6f33895ea0864f75f2b3af6f3c0 | MATLAB | 1,066 | 38 | %% TEST ILLLSUTRATE
Nensambles=6;
frame_ensembles=cluster(Tree,'maxclust',Nensambles); % START
% Checking Redundant Ensembles
NeuroVectors=zeros(20,Nensambles);
for nn=1:Nensambles
EnsembledNeurons{nn}=find(sum(Rclust(:,frame_ensembles==nn),2));
NeuroVectors(EnsembledNeurons{nn},nn)=1;
end
DistaVec=squareform(p... |
6d39dd6fce142d1db958730e28e7fb5292aa36a069da2a08198264842fe4c62b | MATLAB | 1,067 | 47 | function plot_spectrum_increase(Data, Freqs, xLog, xLims, PlotProps, Labels)
% plots spectrum changes of all participants, with mean change on top in
% black. Based on chART plotMountains().
% Data is a P x 2 x F matrix.
% xLog is either true or false, about whether the x axis should be logged.
% Lapse-causes
% plot ... |
0f61e2ab2e36fa702801a3dc2aae30e2e43dd12ce530645658becdd4f9889422 | MATLAB | 1,069 | 32 | function E = ECGModelErrorTimeBased(observations, params, time)
%
% A time-based version of ECGModelError() for generating a sum of Gaussian
% model.
%
% Open Source ECG Toolbox, version 3.14, February 2019
% Released under the GNU General Public License
% Copyright (C) 2019 Reza Sameni
% reza.sameni@gmail.com
% This... |
e4cc7f10e8d8fe6d5eabd474ec1a257d9fea13f0b2e3969941a452c4fa0c7744 | MATLAB | 1,069 | 30 | clear
clc
close all
% Load the data file
data_struct = load('../../../../../DataFiles/PhysioNetChallenges2023/Sample_files_new/BIDMC_updated/ICARE_0097_20000102_185034.mat');
% data_struct = load('../../../../../DataFiles/PhysioNetChallenges2023/Sample_files_new/ULB_updated/ICARE_0066_20000101_211200.mat');
% Extract... |
e6dd6332943dd71f669267072d1daf50001a6721f33578d3a219b01d48c964bb | MATLAB | 1,073 | 29 | function [data,ts,name, unit] = current_signal(app, channel_index)
%CURRENT_SIGNAL returns data, dt and max t , name and units for the current
%interval for the selected signal. adapts for the different timescale of
%derived signals
% Detailed explanation goes here
if app.data(channel_index).derived
data = app.d... |
6f7ed4b10d8895a02fafc8facb87941d0aef39674f80af84952a3002e90f1537 | MATLAB | 1,074 | 32 | % test baseline wander removal by curve fitting
% Status: UNDER TEST
% Reza Sameni, 2005
clear;
close all;
% load LTE07102005_40s.txt -mat;data = LOUETTE_40s';clear LOUETTE_40s
% load fortict_20-Jan-2006.datfortict_20-Jan-2006.dat_acq.mat;
% load fortict5_20-Jan-2006.datfortict5_20-Jan-2006.dat_acq.mat;data = data';
%... |
1ead7653bbfec07073c30638153ab91fc1bdd73ef6c06054b1dbe042016d7c22 | MATLAB | 1,075 | 42 | function smodel(session, channel, unit)
% Sparse variable generalized linear model framework
%
% Parameters
% ----------
% - session: scalar
% Session number with format: yymmdd
% - channel: scalar
% Channel number
% - unit: scalar
% Unit number
fprintf('===== S-Model ... |
541835245b2c8bdadb2d0162432f5a2b8822e3351999db20afe8cbd0f0fb7fa0 | MATLAB | 1,075 | 45 | %% Inhibition suppresion
% input:
% LDEUseI I firing rates
% Thrsld Threshold we start suppresion, i.e., below Thrsld should
% be identity map
% Highist [largestinput, largestoutput]
% varargin1: hard bound
% varargin2: Linear cap or constant cap
% Using second order
func... |
9381c53638a1d546bb41119a5780c789f106bb3fbc491083186c87a59a1ab852 | MATLAB | 1,075 | 36 | function DirListSelected = XxDir(path, DirType, OutType)
% ------------------------------------------------------------------------
% XxDir: return subdirs of the input path
%
% usage: DirListSelected = XxDir(path, DirType, OutType)
% where,
% path -- root path
% DirType -- type of file to glob, eg: ... |
8322ad0c226e12cfbb069e05d257a2b01ef72637bfd6b277ef946c69573cac2d | MATLAB | 1,076 | 34 | function success = exportToCSV(obj, zeroIndex)
%EXPORTTOCSV Export spike times, sites, and clusters to CSV
if nargin < 2
zeroIndex = 0;
end
spikeTimes_ = double(obj.spikeTimes) / obj.hCfg.sampleRate;
spikeSites_ = double(obj.spikeSites) - double(zeroIndex);
filename = jrclust.utils.sub... |
d6cc0ef8093291ce13a0d3d736345d73410be76d3ba62233c25e8832e0ce4caf | MATLAB | 1,076 | 35 | % save fieldtrip extracted brain
project_dir = '.\Children';
% project_dir = '.\Adults';
fieldtrip_path = [project_dir,filesep,'fieldtrip-20220906'];
if ~exist(fieldtrip_path,"dir")
error("change 'fieldtrip_path' to valid path")
else
addpath(fieldtrip_path)
end
ft_defaults;
for n=1:27
... |
a2609ad4c34292450e0fe2d1f47cb3a166cf7454da88921dbd53640c2792ec81 | MATLAB | 1,077 | 38 | function [s, peaks] = PiCA2(dat,ref,refframe,th,wlen1,wlen2,Itr)
% % % t0 = 90; % reference frame center
% % % w = 5; % reference frame half width
% % % wlen1 = 10; % exclusion averaging frame half width (should be more than the fetal expected effective width)
% % % wlen2 = 50; % peak exclusion window hal... |
a43c3513095b7b22bde1f857045a888ceb52b5abfb9bd1e3a7fe79b0431e98e0 | MATLAB | 1,077 | 36 | function f = shepard_spear(trueDists,redDists,plotTitle,xaxisTitle,yaxisTitle)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
if size(trueDists,1) == 1
trueDists = trueDists';
redDists = redDists';
end
%disp is the isotonic regression mapping from pcaDists to trueDists
dispari... |
642b39de31b746d12d8921c8bd55a8adf7bf6552c51d66960a34c2efc7621e92 | MATLAB | 1,079 | 27 | from npyx import *
dp = 'C:\Users\elyashivz\Documents\code\electrophysiology\electrophysiology\analyze_electrophysiology_data\pl2kilosort\files\sequence\';
% load contents of .lf.meta and .ap.meta or .oebin files as python dictionnary.
% The metadata of the high and lowpass filtered files are in meta['highpass']... |
0d9a8e605cfda94c793f2f9b5acfff216b1cf6a79fa37c744cc027b00d003bdb | MATLAB | 1,080 | 30 | function y = lp_filter_zero_phase(x, fc)
% lp_filter_zero_phase - Second-order zero-phase Lowpass filter.
%
% Syntax: y = lp_filter_zero_phase(x, fc)
%
% Inputs:
% x: Vector or matrix of input data (channels x samples).
% fc: -3dB cut-off frequency normalized by the sampling frequency.
%
% Output:
% y: ... |
3c7c9904ea8d01176ee63c82d9d98a52fa546fa9ec477ea4826599873326dbcb | MATLAB | 1,082 | 45 |
%% plot raw frame and overlay
figure('Position',[200 200 300 300],'Renderer','painters')
hold on
imagesc(frame_fil)
%imagesc(frame_aligned)
colormap gray
for i=1:length(cvxHulls)
% theres a shift when saving the image.. counteract here
plot(cvxHulls{i}(:,1)-2,cvxHulls{i}(:,2)-2,'Color',[0 1 0 0.5])
end
... |
e907502748840957109e38923151b22dca84990c9a48291243c0df16229929f7 | MATLAB | 1,082 | 50 | %% Function of serotonin neuron firing.
%Commented functions are different firing paradigms.
% UNITS of f() in events/h, time variables in seconds.
function f = fireht(t, i_factor) %Repeated stim.
n=length(t);
r = 8;
repeat_time = 60*10;
t_start = 5;
t_flip = 7;
t_end = 15;
basal = 1;
b = 2;
max_f = 1.5;
stim_bo... |
0805ede6de47e12219371d1ee9e16ae01d9a4257ad7c6c672b05403424e5ba0c | MATLAB | 1,083 | 32 | %Recursive Zonal Equal Area Sphere Partitioning: EQ partitions
%
% Recursive Zonal Equal Area (EQ) Sphere Partitioning Toolbox.
% Release 1.10 2005-06-01
%
%Functions by category
%=====================
%
% Partitions
% eq_caps Partition a sphere into to nested spherical caps
% eq_regions Re... |
d5a625e50e679f1ccbab7b5ef90580c6f307cd94fb86125b0ed374199c931590 | MATLAB | 1,083 | 35 | %% Checking Significant Peaks of the Clusteres Raster
% require:
Ensemble_Sorting;
%%
% Input:
cond=2; % Condition
N=4; % Significant level: non random coactivity
% Raster=R_Dyskinesia_Analysis; % Analized Raster
% Raster=R_Clozapine_Analysis; % Analized Raster
Raster=R_Amantadine_Analysis; % Analized Raster
Intervas... |
4ed69448d59e04f23301f7932c66c2ea8c027f316cadc7e487fd942c9ef87e42 | MATLAB | 1,084 | 38 | %
% Test program for mean ECG extraction.
%
% By:
% Reza Sameni, September 2006
% LIS-INPG, Grenoble, France - Sharif University of Technology, Tehran, Iran
% reza.sameni@gmail.com
clc
clear
close all;
load('SampleECG2.mat'); data = data(1:15000,2)';
fs = 1000;
t = (0 : length(data)-1)/fs;
f = 1; ... |
80643f6369aedeae6c590952ee936ca2b344b45e79d39f4929120e57a0bf6b86 | MATLAB | 1,084 | 36 | function [sites, dists] = findSiteNeighbors(siteLoc, nNeighbors, ignoreSites, shankMap)
%FINDSITENEIGHBORS Get the nearest neighbors for each site
if nargin < 3
ignoreSites = [];
end
if nargin < 4 || numel(unique(shankMap)) <= 1
shankMap = [];
end
% set ignored sites infinitely ... |
96d91f3bb0c0cd9675555a6725da9fa95e157586e43be0ce3980d600be09a6dd | MATLAB | 1,084 | 17 | cd('I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\effect size\f4\h')
control = importdata('responsive cells per exp_control.mat');
eopn3 = importdata('responsive cells per exp_eopn3.mat');
%%
responsive = [control.reponsive_cells_expsT{:,2};eopn3.reponsive_cells_expsT{:,2}];
IE = [control.IR_sugnificant_... |
a6be6506806a8f099c2a18bf0fb9fa2d640f1af4b7c53a3d338c8b58fea70497 | MATLAB | 1,085 | 28 | % plotting one task - one plot for each session in a given time (CompLat)
%gets its input from scalpmap_matrix
clear all;
%load('G:\BORI\bedrest\RENDEZETT\A) Bedrest_EEG\EEGÖsszes\5.P3a_P3b_abrak\GrandavgVisualP3aSkalphoz.mat');
% scalpMapMatrix_VisualNovel
% scalpMapMatrix_SoundNovel
% scalpMapMatrix_Visual... |
e53091f83627322abb213040a8ace0cda78efe58bf231b2f9c22b18dd822b0d7 | MATLAB | 1,086 | 1 | function [wv,g]=rst_winvar(x,percent)
% function [wv,g]=winvar(x,percent)
% returns the winsorized variance of x as wv
% returns number of winsorized observations at each tail of sample as g
% x must be a vector
% percent must be between 0 and 100; the function winsorizes the lower and
% upper extreme g values of x, w... |
2fd033c938495162ab57ed7bc1c99380cfa96bed7999a776801f6c47ab5d6c82 | MATLAB | 1,087 | 30 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%Compare sound, choice prior during long sound (-100 ms to 150... |
50918a3da1dac56f259a80900c39c7aa5d3e7fe91cfadb5cc5d6428597f4b8b8 | MATLAB | 1,087 | 26 | function RasterData=raster(TimeStamp,TurnMarkerTime)
%TurnMarkerTimeðStartTime,FinishTimeàÉÀè·é©
RasterData=[];
for n=1:length(TurnMarkerTime)-1
DataTemp=TimeStamp(TimeStamp>TurnMarkerTime(n) & TimeStamp<=TurnMarkerTime(n+1))-TurnMarkerTime(n);
y_Temp=ones(length(DataTemp),1)*n;
RasterData... |
b3f60219959757cdfbf4590f830c30322e27fa50f6874c96fa1853d77c00a0a6 | MATLAB | 1,087 | 21 | % HBF_TM_PHI_LC makes a BEM transfer matrix for potential using LC approach
%
% [T,startinds,endinds]=HBF_TM_PHI_LC(D,ci,co,zerolevel)
% D: D matrix, cell [N(meshes) x N(meshes)]
% ci: conductivity inside each boundary surface, [N(meshes) x 1]
% co: conductivity outside each boundary surface, [N(meshes) x ... |
bb0e0ef91c6f0887383988728c653e4b06194268c959618a1f20c7a9c1c65387 | MATLAB | 1,087 | 48 | %%
clear
p = params_2DAA;
fpath = fullfile(p.processed_data_dir,'allData.mat');
load(fpath,'evs','tis','bvs','traces')
[cols,alpha] = chooseColors;
fpath = fullfile(p.data_dir,'subspace_decomposition_one_subspace');
load(fpath,'all_dims','all_qs')
fpath = fullfile(p.data_dir,'tone_dim_analysis');
saveFigs = 1;
saveDa... |
0710042e166e3d910615fd76df3c3e4399ec5e7e415674fe4ff306943a924acb | MATLAB | 1,088 | 43 | function [map, delay_bases, time_bases] = decide_bases_fast(session, channel, sigma)
% Decide about resolution of bases
%
% Parameters
% ----------
% - session: scalar
% Session number with format: yymmdd
% - channel: scalar
% Channel number
% - sigma: scalar
% Scale standa... |
2ccbc3bea23072c16ea5b7b53d55112e7b27c109320bb83f4ed9e397f2e3ce71 | MATLAB | 1,088 | 37 | function f = ciplot(lower,upper,x,colour)
%% ciplot
% ciplot(lower,upper)
% ciplot(lower,upper,x)
% ciplot(lower,upper,x,colour)
%
% Plots a shaded region on a graph between specified lower and upper confidence intervals (L and U).
% l and u must be vectors of the same length.
% Uses the 'fill' function,... |
158cdb3780457b29bbfb546cafa25f44335189f440a92824b4cd83ced427d7f0 | MATLAB | 1,089 | 28 | function [scalpSubset, subsetInd] = getScalpSolSpaceSubset(gmSurfaceMesh,scalpSolSpace,ROIgmNodeList,maxRho)
posGM = gmSurfaceMesh.node;
posROI = posGM(ROIgmNodeList,1:3);
nposROI = length(posROI);
nScalpPos = length(scalpSolSpace);
count = 1;
for i = 1:nScalpPos
%First find gmdepth
[~, ~, gmDepth] = DOT... |
66c1574820dbaf11ad1c7b53d1af61ea9d163753842ad3a157efd8be0615e712 | MATLAB | 1,089 | 28 | function [] = writeNexVarHeader(fid, varHeader)
% [] = writeNexVarHeader(fid, varHeader) -- write nexVarHeader structure
% to the specified .nex file.
%
% INPUT:
% fid - file id
%
% varHeader - nexVarHeader structure
fwrite(fid, varHeader.Type, 'int32');
fwrite(fid, varHeader.Version, 'int32... |
de4d02004896d2f603dc2a77027b318600b03710502fa5595eb9675bad3f504a | MATLAB | 1,090 | 39 | function properties_distributions(Structure)
if isstruct(Structure)
Labels = fieldnames(Structure);
else
Labels = Structure.Properties.VariableNames;
end
Labels(contains(Labels, 'Idx')) = []; % ignore fields that are indixes
Labels(contains(Labels, 'Start')) = []; % ignore fields that are indixes
Labels(contains(Labe... |
1bef66b2d118b125cc9ce30f4c09166a6b611c7857112facca7c351736db8d0d | MATLAB | 1,091 | 29 | %% From neuron vector to spatial map of pixels
% Input: FrE: Quantity vector for neurons, N*1
% NnE: Spatial mapping of neurons, struct with X and Y coordinate
% info
% NPxX/Y: Total Number of pixel on X dir and Y dir
%
% Output: SpaPixMat: Pixel Mat, averaging neurons in each pixel
% NnEP... |
0ae131b7aa80fad6d11eef11845605b336c73403fdb5e87b3f326cc68e9a450e | MATLAB | 1,092 | 46 | function s = euc2sph_dist(e)
%EUC2SPH_DIST Convert Euclidean to spherical distance
%
%Syntax
% s = e2s(e);
%
%Description
% S = EUC2SPH_DIST(E) converts the Euclidean distance E to the spherical
% distance S, using a formula which is valid for the unit sphere in all
% dimensions.
%
% The argument E must be a real numb... |
ac745093623cc70d612ccf996f0a72d262f1a07665f14591d661a63317747b68 | MATLAB | 1,092 | 23 | function newCoords = convert2Dto3D3(coords2D, 2d_common, 3d_common)
% convert2Dto3D converts 2D coordinates to 3D coordinates using 3 reference points
% in 3D space
%
% coords2D: a Nx2 matrix of 2D coordinates to be converted to 3D
% point1: a 1x3 vector representing the 3D coordinates of the first reference point
... |
6940a75595b96495c3af500fadc25c65699a8b384619d417df5575f67c75043c | MATLAB | 1,093 | 56 | % pipepline to generate all figures
addpath('/Users/tosot/Downloads/ASSR_newfig/pdf_fig/revisions/final/codes/functions/')
% select path where to save figures
Path_figures='/Users/tosot/Downloads/ASSR_newfig/pdf_fig/revisions/final/codes/figures';
% select path where data are stored
Path_variables='/Users/tosot/Dow... |
d67eefcb11a47b63ab8412a5cc4d65e72817ab7213907907c56981c3113ad889 | MATLAB | 1,093 | 41 | % check the burst detection for a specific file
clear
clc
close all
Info = analysisParameters();
Paths = Info.Paths;
%%%% Choose a file
%%%%
%%%%
Task = 'LAT'; % Game, Standing, Fixation
Session = 'Session2Beam1';
Participant = 'P08'; % P03 has almost no oscillations, P15 has tons
%%%%
%%%%
%%%%
Source_EEG = fullf... |
30ab52f6ab295b6b0b7ccd67c0bd32fbafba9e0ae9be59f29550ded27f3d485b | MATLAB | 1,095 | 29 | function spmup
% toolbox setting - run it once to set all paths
% ---------------------------------------------
% Copyright (c) SPM Utility Plus toolbox
location = fileparts(which('spmup.m'));
addpath(fullfile(location,'adaptative_threshold'), ...
fullfile(location,'bids'), ...
fullfile(location,'external'), ... |
5c7334aeb5a5ee0e35f5c6bdbe1d4349908de1ddf5bb821c65f51b3eb0745454 | MATLAB | 1,096 | 45 | function [Trace]=mnl_CalculateLengths(Trace,Scale)
%Calculate how long each Trace is
%
% Inputs
% Trace - Trace structure
% Scale - The scale
%
% Outputs
% Trace - Trace Structure with distances added
szT=size(Trace);
for i=1:szT(2)
clear PointsList
clear VoxList
PointsList=Trace(i).Points;
if isempty(... |
d775c6400ccfed8085cc696ecdd3e4a02aacc6a038a20503f605bb2663cb9c8d | MATLAB | 1,096 | 40 | % Function to get the Indexs of B according to Sorting in A sorted as C:
% such that C(1:end)==A(indxA)==B(indxB) as long as they are the same pair vectors
% if not-> indx's & C are empty
% Input
% A: [EXPIDs;Condition] Size: Nx2 Categorical Vector
% B: [EXPIDs;Condition] Size: Nx2 Categorical Vector
% Output
%... |
2faced8e896d4929a33cb26a76e3fe339bf424dd67dd6d35678cdce3ee6f2382 | MATLAB | 1,097 | 35 | function [isValid, errMsg] = validateReconPars(theseReconPars)
% function validateReconPars(theseReconPars)
%
% Check that the current parameters have all the required fields
defaultReconPars = getDefaultReconPars();
isValid = 1;
onlyInDefault = setdiff(fieldnames(defaultReconPars),fieldnames(theseReconPars));
if ~... |
f49ee985a78e410067bcfa7bb517b3ac1dac8142a2c71ba290438c36314d1eeb | MATLAB | 1,099 | 30 | function [zMean,qMean,zStd,qStd] = gamma_plus_minus_tuning_comm(A, gplusRange, gminusRange,repNum)
nPlus = numel(gplusRange);
nMinus = numel(gminusRange);
zMean = zeros(nPlus, nMinus); zStd = zeros(nPlus, nMinus);
qMean = zeros(nPlus, nMinus); qStd = zeros(nPlus, nMinus);
for i = 1:nPlus
for j = 1:nMinus
gp... |
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