sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
bd013f3749d9defd102472f12e63a6de9ccba6b3d96af1647ce54e4a70f024b1 | MATLAB | 671 | 32 | % SaveFet(FileName, Fet, BufSize)
%
% Saves a feature file
function SaveFet(FileName, Fet, BufSize);
if nargin<3 | isempty(BufSize)
BufSize = inf;
end
nFeatures = size(Fet, 2);
formatstring = '%d';
for ii=2:nFeatures
formatstring = [formatstring,'\t%d'];
end
formatstring = [formatstring,'\n'];
outputfile = fo... |
f24d57bb9f5fb01ea2251918f95d1477fa27549df194d3fadad9157c7d4d0e07 | MATLAB | 671 | 19 | function figure6(dataFolder)
if(nargin<1)
error('Path to data required as input argument. Data can be downloaded from link in README file.');
end
% Add paths for function execution
myPath = mfilename('fullpath');
basePath = fileparts(fileparts(myPath));
addpath(fullfile(basePath,'auxiliary'));
addpath(fullfile(ba... |
8c6ebf56fb1ea1ea8b785541c454719251ee24f1d9efb28e5170f0a671300eac | MATLAB | 672 | 20 | function [h,p] = my_sig_test(pacval, pac_shf_values, alpha)
% function [h,p] = my_sig_test(pacval, pac_shf_values, alpha)
%
% Returns a binary value for significance 'h' and a p-value 'p', given a
% value under analysis 'pacval', a distribution of values for comparison
% 'pac_shf_values' and a significance level 'alpha... |
f68c75dc9a852573e241732a7308f0d0bc8fa4b7f95d97ef3f67706951d26fd1 | MATLAB | 672 | 21 | [sa,X] = network_simulation_beluga.getHeadModel;
% Import example simulation
load(fullfile(dataFolder,'simulations','synthetic_spikes','example_simulation','simulation','simulation_data.mat'));
i = sa.cortex2K.in_from_cortex75K(263);
eeg = network_simulation_beluga.getEEG(dipoles,sa,i);
x = time(32e3:80e3);
y = eeg... |
f3263a427b094587e7ef2dfeb593f472fff98943df2005f96b9265741e96d25b | MATLAB | 673 | 18 | function [ensemblesToUse, outVars] = removeRepeatsFromEnsemblesToUse(ensemblesToUse,outVars)
subRepeats = outVars.repeatIdentifier(ensemblesToUse);
ensToUseList = find(ensemblesToUse);
[a,b]=histc(subRepeats,unique(subRepeats));
removedRepeats = zeros(size(ensemblesToUse));
for i = 2:numel(a);
if a(i)>1
pro... |
9bfdb3d60d8f96b949fce810661378b9040564aae841c466bcbff5d4e3e68fe2 | MATLAB | 674 | 24 | function [ classificationModel ] = trainCSPModel(riemannianCovarainces, final_labels, spatialFilters)
%% Estimation of class prototypes
features = [];
for i=1:size(riemannianCovarainces,3)
transformedMatrix = spatialFilters * riemannianCovarainces(:,:,i) * spatialFilters';
diago... |
fe0ab3a8befc2b7094abdcd2b96070317a547407c2a5592f139e3da85a71061f | MATLAB | 674 | 15 | function [minval,idx] = mesh_get_closest_triangle_from_point(m, point, varargin)
% Gives the linear index to the closest triangle of the surface specified by triangle_regions to the point.
% USAGE: idx=MESH_GET_CLOSEST_TRIANGLE_FROM_POINT(m, point[, triangle_regions=1])
% Mirko Windhoff, 2010
% $Id: mesh_get_cl... |
6ccee35f166cd394f07a5690a8f0516e41341af8d970c014ce123ea21fa96cde | MATLAB | 676 | 25 | %% check_repair_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
repair_tree (tree, 'none');
end
end
%% test 2
repair_tree (sample2_tree, '-s');
tprint ('./panels/r... |
89d2a5c35ff705fd9919358788ee03ed95c9b155504ef0c5453e11ac659aa881 | MATLAB | 678 | 17 | function [h,p,e1,e2]=McNemar_test(P,Y)
% null hypothes: the predicted class labels P1 and P2 have equal accuracy
% for predicting the true class labels Y.
% h = 1 indicates to reject the null hypothesis at the 5% significance level.
% h = 0 indicates to not reject the null hypothesis at 5% level.
% A result is s... |
e4c357009e5f9966b0ec7d213e0b1826e77f7018aacde6cac72cbd7ae7d3911d | MATLAB | 678 | 18 | function figure7(dataFolder)
if(nargin<1)
error('Path to data required as input argument. Data can be downloaded from link in README file.');
end
% Add paths for function execution
myPath = mfilename('fullpath');
basePath = fileparts(fileparts(myPath));
addpath(fullfile(basePath,'auxiliary'));
addpath(fullfile(ba... |
eacab48e9e446237e6858dc845133d394edcde69b6a5d84d221f23217b369286 | MATLAB | 678 | 27 | %{
clear
close all force
warning on
%load tirals info
load('a0_0_bhv2trialStrct.mat');
load('a0_3_0_extractingTheMorphingDataFromAnalyze1.mat')
load a0_11_insideFace
load a0_15_timeOnImageAll
%}
IFace = isFaceImg([dataTrl.iImage])';
UMonkey = [1,3];
UMuscimol = [0];
clear inFaceTimeSumAllSum
for iMonkey = 1:2
f... |
2bde0b66792d9fbd84cf37d7688958b7f47f5b6a4168d248c14e8f631fcc9b66 | MATLAB | 679 | 40 | function vargargout = add_DAQmx_Assembly
% Add NI DAQmx .NET assembly and return true if successful
%
% function isAdded = nidaqmx.add_DAQmx_Assembly
%
% Inputs
% None
%
% Outputs
% isAdded - true if NI DAQmx assembly has been added. false otherwise
%
%
% Rob Campbell - SWC 2022
isAdded = nidaqmx.isDAQmx_Assembly_ad... |
4b987fbadb983d1a11823db48d536289d4b637570bac1c81ebad473fb14dc7e1 | MATLAB | 679 | 19 | % the pattern separation toolbox: analyse spike train ensembles
% Copyright (C) 2022 Alexander D Bird
function [input_spiketimes] = temporally_correlated(max_time,n_trial,rate,regularity)
%TEMPORALLY_CORRELATED Generates a set of spike times with correlations within trains.
input_spiketimes=cell(n_trial,1);
f... |
0365908bc32907f47fcc9ce949addb21ff11f118df45593b96fe6bcad4f02f7a | MATLAB | 680 | 27 | %% check_Pvec_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
Pvec_tree (tree);
end
end
%% test 2
Pvec_tree (sample_tree, [], '-s');
tprint ('./panels/Pvec_tree1', ...... |
594180745cdbe48579494590cab18422037eb20e2b16d2c513b8754c68a32ef6 | MATLAB | 680 | 23 | function plotSlice(phas,uphas,fl,harmfields,selectedSlice)
% Plot 3 Images Side by Side
figure();
subplot(2,2,1);
imagesc(phas(:,:,selectedSlice,5));
xlabel('x-position [voxels]');
ylabel('y-position [voxels]');
subplot(2,2,2);
imagesc(uphas(:,:,selectedSlice,5));colormap(gray)
xlab... |
515340b46b9ffed534010777c384462d94aa317353606ec130f14c3a1e782914 | MATLAB | 681 | 25 | %% check_insert_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10000
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
insert_tree (tree, [...
1 1 30 -10 0 1 3; ...
2 1 30 0 0 1 3], 'none');
end
end
%% test 2
[~, ... |
18eb62c8ddf72a21379292e1aa9f5ba4d1210fb32c2782f0b68c4cd33161a41d | MATLAB | 683 | 32 | % BEZAHLT Make string from number.
% (scheme package)
%
% str = bezahlt (zahl, num)
% -------------------------
%
% Pads string from number num with zeros to make zahl length string.
%
% Input
% -----
% - zahl ::integer: length of string
% - num ::integer: number to be stringed
%
% Output
% ------
% - str ... |
abb98962ba4f9a53fd0fe5739dbbd76e6272811268b39d2c11bc8714ca2b77f4 | MATLAB | 683 | 28 | function result = osi(curve)
% do not include catch condition!
% should be condition x cell
%
% try
% assert( size(curve,1) < size(curve,2))
% catch
% warning('Dim 1 of tuning curve is not greater than dim 2 of tuning curve. Make sure tuning curve is ori x cell.')
% end
curve = curve - min(curve);
curve =... |
e7a4a885f4f2055deb69fcd111cdcd1d085e78b68402855f4800a4d025692597 | MATLAB | 683 | 16 | function saveFileListCache(obj)
% Save the GUI recently loaded file list cache to the settings file
%
% zapit.gui.main.controller.saveFileListCache
%
% Purpose
% The recently loaded file list is saved to settings YML file so it will
% persist across sessions.
% Updating is sufficient to... |
378f0abf8cb904cac8cfb68dce5928c33250260ad63f854b4e7abd0b041b6a9d | MATLAB | 688 | 25 | function coefficients = projectTimecourse(image4d, mask, voxelSize, order)
%PROJECTTIMECOURSE Project 4-D field data onto harmonic basis terms.
arguments
image4d
mask
voxelSize (1,3) double {mustBePositive} = [1 1 1]
order (1,1) double {mustBeInteger, mustBePositive} = 3
end
if ndims(image4d) ~= 4
... |
4de44fa79ad933286d5d8ab45b1acd45e65bf033efab2ed6bfd35096453a0fbf | MATLAB | 689 | 24 | % the pattern separation toolbox: analyse spike train ensembles
% Copyright (C) 2022 Alexander D Bird
function [sparsity_obj ] = calculate_sparsity(input,output)
% CALCULATE_SPARSITY Calculates relative sparsity between input and output
% spike ensembles
n_spike_in=0;
for sooth=1:size(input,1)
n_spike_in=... |
4fd36ba48ac0f93618cbbdf69d504e851107fbd32d7f66fafc0d9b2e8c8ce5a6 | MATLAB | 689 | 12 | function fid = FilePrepDigData(logDigFile, Fs, handles)
fid = fopen(logDigFile, 'wb');
% % Version 1:
% fwrite(fid, 1, 'uint32'); % File version number
% fwrite(fid, sum(strcmp('InputOnly', {handles.s.Channels.MeasurementType})), 'uint32'); % Num digital channels
% Version 2:
fwrite(fid, 2, 'uint32'); % File version ... |
156b0bb57d855d2aaf8ab7dc71181cd3e64c8c2ee27327e9c9c5c79c7da8074f | MATLAB | 690 | 16 | % the pattern separation toolbox: analyse spike train ensembles
% Copyright (C) 2022 Alexander D Bird
function [spiketimes]=voltage2times(voltage_trace)
% Converts a voltage trace to a vector of spike times using the findpeaks function of the signal processing toolbox.
warning('off','all');
ts=voltage_trace(1,:... |
0a22284b22dd48d22a06a1af37ca4895d28a88e97c5f9276ed8b33d2f87a9fea | MATLAB | 691 | 28 | %% check_sort_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 10
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
sort_tree (tree, '-LO');
end
end
%% test 2
sort_tree (sample2_tree, '-s');
tprint ('./panels/sort_tree1', ... |
6e705627927a9c4c1672fbbc4506def63be6d1f0159aed38ae68c6a78c2344b4 | MATLAB | 693 | 24 | function setWindowTitle(obj)
% Set Zapit window title text and report here if a new version is available
%
% function zapit.gui.main.setWindowTitle
%
% Purpose
% This function can be run not only at startup but also regularly
% to report to the user when a new version is available.
%
... |
0fcc975c4d0b7be41e7f01c1225d7e35f60a5bbe4364692d891972262a45b15a | MATLAB | 694 | 18 | function f = LK_RippleRatesHistogram_20220321(cfg)
%
% LK_RippleRatesHistogram_20220321 creates a histogram figure showing the
% ripple rates across channels.
%
% Output is a figure handle.
%
% Lukas Kunz, 2023
% create figure
f = figure('units', 'centimeters', 'position', [2, 2, 6, 6]);
axes('units', 'centimeters', '... |
22d2c2ac0e1be9abd229fddacf7a101ff5efdc7a19f48dff10b67f6814792acb | MATLAB | 695 | 26 | clear; clc;
simDir = pwd; % set path...
addpath(genpath('./code'))
% download required toolboxes
download_toolboxes('toolbox_urls.txt', 'code/toolbox')
%% download results file from OSF
% https://osf.io/3gwhz/files/osfstorage
%% set project name
simName = 'paperSim';
resultsDir = fullfile('results',simName);
sessio... |
d1944343defe6126add23c692104de4736de984726595300eab1af00f66bd451 | MATLAB | 698 | 30 | function save3DImage_uint16(vol,path)
if max(vol(:))>intmax('uint16')
fprintf('Warning: some values to be saved at %s are over uint16 maxval\n',path)
end
if min(vol(:))<0
fprintf('Warning: some values to be saved at %s less than 0\n',path)
end
if endsWith(path,'.tif')
%This is a wrapper function around... |
e5cfaa298efe6c7ed0efa648c8673a60ccfbbb6093693c7f48cda81bdb4c9218 | MATLAB | 699 | 18 | function loadRecentConfig_Callback(obj)
% Load stim config on button press
%
% zapit.gui.main.controller.loadRecentConfig_Callback
%
% Purpose
% Loads stim config from list of previously loaded files.
% Will run loadStimConfig_Callback, so there are not issues with redundant code.
%
... |
7e5be9b6dec1c019f626e8054d1a8eec4c39ed7a46355d952fe596def3815f17 | MATLAB | 700 | 23 | % Used to permute back from pervious permutation from permute_dims
% INPUT
% in: MRSI structure that was permuted
% prev: prev array from premute_dims
%
% OUTPUT
% out: permuted MRSI structure
function MRSIStruct = reshapeBack(MRSIStruct, prevPermute, prevSize)
data = getData(MRSIStruct);
data = reshape(data, ... |
308f478459ceb11ff73d1539b30097239b7d87a965834cdabff8fd7338ef614a | MATLAB | 705 | 17 | % Set the path of the 'GT Masks' folder, which contains the manual labels in 3D arrays.
dir_Masks = '..\demo\data\GT Masks\';
%%
dir_all = dir(fullfile(dir_Masks,'*FinalMasks*.mat'));
for ind = 1:length(dir_all)
filename = dir_all(ind).name;
if ~contains(filename,'_sparse')
disp(filename)
load(... |
49405ca35e3ba3e89b30cc0fcb4fe3899e0879db91c9a316b87e5de04cf0fb9a | MATLAB | 712 | 20 | function [baselines] = baseline_creator_v3(slices,avg_factor)
for i = 1:length(slices)
D = diff(slices{i}(:,4));
CV = abs([D ; 0]) >= 0.01; % change vector, marks the position where the changes in hydrogen concentration occur (marks the last point before the change)
j = 1;
while CV(j) == 0
j =... |
3d99c90e9e0011fbe3c502ad0d94cd871cbda46943a0fd416815d5568829318d | MATLAB | 715 | 21 | % EDIT ONLY THIS %
filename='m4_social_nostim';
load(strcat('E:\Dropbox\MATLAB\DEISSEROTH\mfp_fear\data\20150811\',filename,'_000_signal.mat'));
load(strcat('E:\Dropbox\MATLAB\DEISSEROTH\mfp_fear\data\20150811\',filename,'_000_reference.mat'));
sig_plot=sig(1:end-1,:);
ref_plot=ref(1:end-1,:);
figure(1); subplot(2,1... |
f299d60f8ef369fb678e06e62849bb10caee27c5727ea0992bc9ffe7e85b795a | MATLAB | 715 | 27 | %% check_loop_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
tree.Ri = 100;
tree.Gm = 1 / 2500;
tree.Cm = 1;
loop_tree (tree, 1, 100... |
f5e02186bfceca36526fdc91265eb2690fd11b8ef54e0704c24c451c1ee15bbe | MATLAB | 723 | 20 | function figure6(dataFolder)
if(nargin<1)
error('Path to data required as input argument. Data can be downloaded from link in README file.');
end
% Add paths for function execution
myPath = mfilename('fullpath');
basePath = fileparts(fileparts(myPath));
addpath(fullfile(basePath,'auxiliary'));
addpath(fullfile(ba... |
b954cf5d467780863e85f588a6e93cb789e5eb063989731fb6f5bbf11e097ec2 | MATLAB | 725 | 20 | % Set the path of the 'GT Masks' folder, which contains the manual labels in 3D arrays.
dir_in = 'D:\ABO\20 percent 200\complete\output_masks\';
dir_out = 'D:\ABO\20 percent 200\SUNS_complete Masks\';
if ~exist(dir_out,'dir')
mkdir(dir_out)
end
%%
dir_all = dir(fullfile(dir_in,'*Output_Masks*.mat'));
for ind = 1:l... |
cdd54d91bb6c4af7bfd1213333b8ce91d1f30ac8777694451404b674c8354c33 | MATLAB | 725 | 19 | % remove callbacks
sendsetup = arrayfun(@(x) strcmp(x.UserFcnName,'live2pSendSetup'), hSI.hUserFunctions.userFunctionsCfg);
if any(sendsetup)
hSI.hUserFunctions.userFunctionsCfg(sendsetup) = [];
end
acqdone = arrayfun(@(x) strcmp(x.UserFcnName,'live2pAcqDone'), hSI.hUserFunctions.userFunctionsCfg);
if any(acqdone)... |
73be5517a29fc1f154f14b3fe451314eeafff857986188038dfc4eb40b81ffc5 | MATLAB | 727 | 31 | function B = RemovePhaseDiscontinuity(A)
%% Remove phase discontinuity in matrix A from center
% A is a matrix with phase in a range of -pi to pi
% B is a matrix without phase discontinuity
%
%
% YC at ES lab
% Created on Jan. 27, 2020
% Last modified on Jan. 27, 2020
%% Parameters
Width = size(A,2);
Hei... |
d9a1da5abc254ff7c7a89f3496d58d553f4369753ecae51b6061fd1ab2ad1da3 | MATLAB | 727 | 15 | function [ valid_neurons_indices ] = find_head_direction_neurons(spike_rate_mat_neuron_by_angle)
global CENTER_OF_ANGLE_BINS FIRING_RATE_THRESHOLD RAYLEIGH_VECTOR_LENGTH_THRESHOLD;
number_of_neurons = size(spike_rate_mat_neuron_by_angle, 1);
max_firing_rate_per_neuron = max(spike_rate_mat_neuron_by_an... |
9da84cfae3150be475ef11b7db1446370c2c312e1dfcbc2c30a0491c36c24fc4 | MATLAB | 729 | 34 | function saveLaserFit(obj)
% Save the laser fit object to the user settings directory
%
% zapit.pointer.saveLaserFit()
%
% Purpose
% Saves the laser fit to a .mat in the settings directory.
%
% Inputs
% none
%
% Outputs
% none
%
% Rob Campbell - SWC 2022
%
... |
50e9b42392d2dd530eab23042a40427b78e91c0211ab8a841f079a081044da6e | MATLAB | 730 | 46 | function a = fftnc(a, N, doShift, doScale);
% Calculates the multidimensional fft of a matrix with DC at the
% center of the matrix.
%
% Inputs:
% a: input matrix
% N: do fft's along first "N" dims
%
% Outputs:
% A: output matrix
%
% (c) Corey Baron
if(nargin<4) || isempty(doScale)
doScale = 1;
end
if(nargi... |
45a79b0d9ac16e8f0d51424dd043fcede006eee225a4779cd01c12b92bb4bb09 | MATLAB | 731 | 71 | %% 2022-2023
% sub-MC14
% sub-MC15
% sub-MC16
% sub-MC18
% sub-MC23
% sub-MC24
% sub-M12
% sub-M13
% sub-M14
% sub-M20
% sub-M23
% sub-M32
% sub-M35
% sub-M36
% sub-M38
% sub-M39
% sub-M40
%% 2021-2022
% sub-M01
% sub-M02
% sub-M03
% sub-M04
% sub-M05
% sub-M06
% sub-M07
% sub-M08
% sub-M09
% sub-M10
% sub-M11
% sub-M... |
2eb7bea7bf5b32a2f3c2a29b1205a248ea4887ab5cc4e598323d799b59d41fe5 | MATLAB | 732 | 22 | %% Example MATLAB v2 fMRI phase pipeline.
repoRoot = fileparts(fileparts(mfilename('fullpath')));
addpath(fullfile(repoRoot, 'matlab'));
addpath(fullfile(repoRoot, 'matlab', 'vendor', 'tapas_physio'));
cfg = fmriPhase.config();
cfg.phaseFile = "/path/to/sub-01_task-rest_part-phase_bold.nii";
cfg.magnitudeFile = "/pat... |
b627da9e40cfab261a648f3d89741ed096322162aaf1011f4ce62194ea1fdc32 | MATLAB | 732 | 15 | function pEffect = BoutEffectPval(periBout, periStat, periParam, fieldName)
pEffect = nan(size(periStat.(fieldName).effect));
tempEffect = nan([size(periStat.(fieldName).effect), periParam.Nshuff]);
for s = 1:periParam.Nshuff
tempStat = BoutEffect(cellfun(@ScrambleColumns, periBout.(fieldName)... |
84d9235b6b89c6554bf18621a84e41da0e889956d9cb4aceb5fb15518dbafb3d | MATLAB | 733 | 45 | function a = ifftnc(a, N, doShift, doScale);
% Calculates the multidimensional ifft of a matrix with DC at the
% center of the matrix.
%
% Inputs:
% a: input matrix
% N: do fft's along first "N" dim
%
% Outputs:
% A: output matrix
%
% (c) Corey Baron
if(nargin<4) || isempty(doScale)
doScale = 1;
end
if(narg... |
81b12a5326aa73b3242d19fbf18ed4af51fba09e638f7a9fdd208a59e6251ae7 | MATLAB | 743 | 27 | % Rather than two runs of 50 trials, let's do one run of 75 trials
% This script generates that input.
% load run1
load('run1.mat')
ntrials = length(run.isi1); % 50 trials to start
newtrials = 25; % adding 25 trials
% keep uniform distribution of conditions
cond = [1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 5 5 5 5 5]';... |
8b73585794c15a278a3f85c85c27304d64213f23b05afd24db64209640ae9367 | MATLAB | 743 | 19 | function f = LK_ArtifactFractionHistogram_20220321(cfg)
%
% LK_ArtifactFractionHistogram_20220321 creates a histogram figure showing
% the artifact fractions across channels.
%
% Input is a structure with multiple fields.
%
% Output is a figure handle.
%
% Lukas Kunz, 2023
f = figure('units', 'centimeters', 'position'... |
71bc3a5e4f13a3389576f8784c8c27e1f32fcd4a644b7caccd8d297528b5897f | MATLAB | 744 | 26 | function result = merge_struct(p, s, donotmerge, deep)
import zapit.yaml.*;
if ~( isstruct(p) && isstruct(s) )
error('Only structures can be merged.');
end;
if ~exist('donotmerge','var')
donotmerge = {};
end
if ~exist('deep','var')
deep = 0;
elseif strcmp(deep, 'deep')
... |
c5a375ba2d1b93ba463f01aea0f3a395417d630d656bfb3545039312986b5c92 | MATLAB | 746 | 42 | function sff = sffTrack(sff)
%SFFTRACK track and clean
% input and output: sff structure
%
% Raphael Sarfati
% raphael.sarfati@aya.yale.edu
%% launch tracking
if ~sff.prm.flag.trk
disp([datestr(now,31) ' -- Tracking started...'])
sff = sff_fffabc(sff);
% flag; return to workspace
... |
95015a6f664ad751e38eec6b111b0803a47d8509d4321d3d71f1bc9ba4482833 | MATLAB | 747 | 18 | % EDIT TREE
%
% functions to edit a tree
%
% Files
% cat_tree - Concatenates two trees.
% delete_tree - Delete nodes from a tree.
% elim0_tree - Eliminates zero-length segments in a tree.
% elimt_tree - Replace multifurcations by multiple bifurcations in a tree.
% insert_tree - Insert a number ... |
e6b257b8723ed53b2d2ad10cbb2778ebe9c4ffc34e75662d0f2dd725d11b2532 | MATLAB | 747 | 46 | %% secs2hms
%
% Convert time in seconds to hours/minutes/seconds
%
% <matlab:open('secs2hms.m') code>
%
%% Syntax
%
% [h,m,s] = secs2hms(t)
%
%% Arguments
%
% _input_
%
% t time in seconds
%
% _output_
%
% h hours
% m minutes
% s seconds
%
%%... |
314bb325b2f001df1e98003038b94e5a3e06e72181fee191b2f4a27ba3f155ee | MATLAB | 748 | 21 | function MakeDeformPlot( deformData, deformName, TL, Xticks, Yticks, varargin )
if nargin == 6
deformLims = varargin{1};
else
deformLims = [min(deformData(:)), max(deformData(:))];
end
if size(deformData,2) == 1
plot( deformData );
ylabel(deformName);
ylim(deformLims)
else
imagesc( de... |
516d56fb5bb7f3512bd4f31752a6265e7d6936dc0a26309edf3412760cb01059 | MATLAB | 750 | 20 | % Path to the SBX file to be z-projected
input_sbx = 'D:\2photon\Simone\Simone_Neutrophils\NaVAi6-1\211008\009\NaVAi6-1_211008_009.sbxfix';
% which planes to project?
zProj = {11:15, 19-23};
% max or mean projection? (default = 'mean')
projType = 'mean';
% which channels? ('both' will try to project both separatley... |
44dd17f61b7b234b5296a2496f02d9c47cd9426cc964d1e119965a20e2326f01 | MATLAB | 751 | 35 | function dff = grabCommonVoxels(DT,targetTmodel)
% need 3 models for now
% grab common voxels across all three models and filter it out
df = []; params=[];
sj = unique(DT.subjID);
for tm = 1:3
params.tmodel = targetTmodel{tm};
df{tm} = tableFilter(DT,params);
end
%%
tmp=[];
for tm = 1:3
tmp{tm} = table(... |
91f5bc1abe07c5cb8cd6f383c90ebdf87bba5a7eec53b17aeaef77cba6c8ff0d | MATLAB | 751 | 32 | %% check_lego_tree
%% test 1
clf; hold on; shine
axis off
dLPTCs = load_tree ('dLPTCs.mtr');
for counter = 1 : length (dLPTCs{1})
display (counter);
tree = dLPTCs{1}{counter};
lego_tree (tree, 15);
end
%% test 2
clf;
lego_tree (sample_tree, 15);
plot_tree ... |
c70b6a338e854b232c637ebaa0205c9d52bae7351f03cbc68cbc144440ea8f11 | MATLAB | 751 | 19 | function spmGlobalVariable = addMRSIOverlayToSPMCallback(spmGlobalVariable, functionName)
arguments
spmGlobalVariable (1, 1) struct
functionName(:, 1) char
end
spmCallbackList = spmGlobalVariable.callback;
if(ischar(spmCallbackList))
%create cell array and add overaly() callback ... |
3db8714cfdee25a0013a946f57013df1468b91ddc8b26b48a681dae5b750d8e6 | MATLAB | 753 | 30 | %% Documentation and Examples
%%
%
% <html><h2>Image data</h2></html>
%
% * <./id_md.html Image metadata quick start guide>
% * <./id_ri.html Raw images quick start guide>
% * <./id_pp.html Preprocessing quick start guide>
%%
%
% <html><h2>Processed Images</h2></html>
%
% * <./pi_CellScan.html |CellScan| quick start ... |
d04a5c140821bc61787551f4b0d4d13f05fbb02b3a5a12ef5276b006429b565c | MATLAB | 753 | 26 | function [All, results] = cellExcluder(All,opts);
if ~isfield(opts, 'peakThreshold')
opts.peakThreshold =0;
end
numExp = numel(All);
for ind = 1:numExp
dat = All(ind).out.exp.dataToUse;
sz=size(dat);
dat = reshape(dat,[sz(1) sz(2)*sz(3)]);
meanDat = mean(dat,2);
maxDat = max(dat,[],2);
... |
a985aaa4c6196f777172b5a2563de35b2a4085fe89631671cce54357de115147 | MATLAB | 755 | 33 | function setExperimentPath_Callback(obj,~,~)
% Set the experimentPath property in zapit.pointer
%
% zapit.gui.main.controller.setExperimentPath_Callback
%
% Purpose
% Set the experimentPath property in zapit.pointer. Whilst this variable
% is set, the zapit.pointer.sendSamples command will l... |
0159aec277b5c840a661c4584c621deaa17be1926aacfad88febecf73a710ec8 | MATLAB | 758 | 32 | % msave - save an integer matrix in an ascii file
%
% msave(filename,matrix,writemode)
%
function msave(filename,matrix,writemode)
if (nargin<3) writemode = 'w'; end
[m,n] = size(matrix);
bufsize = 1000;
if m > bufsize
nblocks = ceil(m/bufsize);
for i=1:nblocks
ind = [(i-1)*bufsize+1: min(m,i*bufs... |
2ccbac062cf2fde7b30812006da3131745c9e917bea67889d7402c346426c635 | MATLAB | 759 | 29 | function Y = gampdf(X,A,B)
assert((isequal(size(A),size(X)) && isequal(size(B),size(X))),'X, A and B must be of common size or scalars');
sz = size(X);
Y = zeros(sz);
k = find(~(A > 0) | ~(B > 0) | isnan(X));
if any(k)
Y(k) = NaN;
end
k = find((X > 0) & (A > 0) & (A <= 1) & (B > 0));
if any(k)
if isscalar(A... |
345b9e0e6d9a9bfd355695321f2d51169fb00c43a98825320c2d8f733ab23a6c | MATLAB | 759 | 30 | function [W,Em,N,c,E,EE]=MWASD(X,Y,p,nmax)
% function for finding the optimal hidden-layer neurons weights of the
% neuronet
% Initialization
N=[]; c=[];% the neurons number of the hidden layer (i.e., hidneurons)
Em=inf; E=zeros(nmax+1,1); Ev=zeros(4,1); EE=zeros(nmax+1,1); [G,M]=size(X);
G1=round(p*G); % size ... |
50fb4344cdc2b541b708d5839855a7d2bcb03de1117a81043444f182efefe4a3 | MATLAB | 759 | 23 | function vec = LK_idx2vec(mat)
%
% LK_idx2vec converts an m x 2 matrix of start and end indices (first and
% second column of the matrix, respectively) into an 1 x n vector
% containing all indices between the respective start and end indices.
%
% LK_idx2vec is different from LK_idx2log.
%
% Lukas Kunz, 2021
% check i... |
c578db7221f50b5f87534a458a68e5c6762ad29f3e20574d2b2490c7233e7f26 | MATLAB | 759 | 19 | % IO FUNCTIONS
%
% input and output
%
% Files
% load_tree - Loads a tree from the swc/neu/Trees format.
% neurolucida_tree - Loads a tree from the neurolucida ASCII format.
% neuroml_tree - Export tree to NeuroML format.
% neuron_template_tree - Export tree as NEURON file.
% neuron_tree... |
1545e71b2178929e0a9a523772937ee527a2584632cc391f7d9613200afb0767 | MATLAB | 760 | 22 | % the pattern separation toolbox: analyse spike train ensembles
% Copyright (C) 2022 Alexander D Bird
function [input_spiketimes] = phase_locked(max_time,n_trial,rate,amplitude,num_phase)
%PHASE_LOCKED Generates a set of spike times with sinusoidally varying rates.
dt=0.001;
input_spiketimes=cell(n_trial,1);
f... |
83bfe37803bc394ae441a2c33a7ea51ffee9180718208639784b85378b8c6792 | MATLAB | 760 | 25 | function [intra_conn, inter_conn, intra_conn_av, inter_conn_av, intra_conn_norm_av] =...
get_InterIntraModulesDensity(net, comm)
N = size(net, 1);
NC = length(unique(comm));
clust_lab = unique(comm);
intra_conn = zeros(NC, 1);
inter_conn = zeros(NC, 1);
for i=1:NC
intra_nodes = find(comm==clust_... |
4a579cfa77fc96e6075f66159d6d919001ae50952ec8ee30d07194c4c18a0b9c | MATLAB | 761 | 38 | % HISTAX Corrected histogram counts.
% (scheme package)
%
% yax = histax (x, xax)
% ---------------------
%
% Produces correct edges for binning in order to plot yax against xax.
%
% Input
% -----
% - x ::vector: x values
% - xax ::vector: x values of bin centers
%
% Output
% ------
% - yax ::vector:... |
beb9ee8ed16821ff6ab380d8b118fa9dd2f475c3e628cb30301263f366f3875e | MATLAB | 761 | 29 | function setLaserInMW(obj,mW)
% Set laser to a value specified by the user in mW
%
% function zapit.pointer.setLaserInMW(mW)
%
%
% Purpose
% User supplies value in mW. This is converted to a control value
% and applied to the laser.
%
% Inputs
% mW - (scalar) laser power in m... |
de5305ce8c93b6c468dd14993978a51f5b5ccc545364b6a84132c1312ea19199 | MATLAB | 761 | 16 | function keysForLeaveOut = GetKeyLeaveOut(StimuliLabel,contextLabel,MouseIDs,sessionNum,LeaveOut)
LeaveOut = lower(LeaveOut);
if strcmp(LeaveOut,'mouse')
keysForLeaveOut = MouseIDs;
elseif strcmp(LeaveOut,'session')
keysForLeaveOut = cell(1,length(MouseIDs));
for k=1:length(keysForLeaveOut)
... |
3bd0a70028f1ccc3c9d60b3da4d6be936f013dca1b54aea76803bc57a72f8e8f | MATLAB | 763 | 1 | % List of rect functions in PsychToolbox
%
% AdjoinRect.m
% AlignRect.m
% ArrangeRects.m
% CenterRect.m
% CenterRectOnPoint.m
% ClipRect.m
% InsetRect.m
% IsEmptyRect.m
% IsInRect.m
% OffsetRect.m
% RectBottom.m
% RectCenter.m
% RectHeight.m
% RectLeft.m
% RectRight.m
% RectTop.m
% RectWidth.m
% ScaleRect.m
% SetRect.m... |
0d235fba83d9f424328cb87d39ab4182789bf8badbc11fe93e22ee664ae2fe0e | MATLAB | 766 | 27 | function DT= tableRemoveHRFDuplicateCoords(hrfTable)
DT=[];
for s = unique(hrfTable.subj)'
for r = unique(hrfTable.name)'
params.subj=s;
params.name=r;
newDT = tableFilter(hrfTable,params);
tmpDT = [];
tmpDT.subj = repmat(params.subj,length(cell2mat(newDT.coords)),... |
b82c4079e3025ebcc8d4bace814d745da5df8769e280b05e27f7f93dbb00ce74 | MATLAB | 766 | 24 | % interpolate the blank cladding between cores
% last modified 2022-08-20
% by Peisheng Ding (peisheng.ding@mpi-halle.mpg.de, peisheng.ding@mail.utoronto.ca)
function [Xq, Yq, vq] = Interpolant_cladding(getX, getY,pppp)
%-----------------------------------sacttered Interpolation-------------------------------... |
31e98ca479891511e26108ee5592182815b9f7f885e001f776a76ade4f666259 | MATLAB | 767 | 29 | %% check_cplotter
%% test 1
clf;
HP = plot_tree (sample2_tree, [0 0 0], [], [], [], '-b1');
for counter = 1 : 3
c = hull_tree (sample2_tree, 4 * counter, [], [], [], '-2d');
HP = cplotter (c, rand (1, 3), ...
[(1.5 * counter) (2 * counter) counter]);
set (HP, 'linewid... |
40fc3cdbc0a0caa0bdc288e83fcc78622afd51b32a20136b4997a2fc4460a1da | MATLAB | 769 | 30 | function plotScatterRmse(y,r,t)
if size(y,2)>size(y,1)
y = y';
end
if size(r,2)>size(r,1)
r = r';
end
figure; hold on;
mn = floor(0.9*min([y;r])); mx = ceil(1.1*max([y;r]));
% plot the prediction
plot(mn:mx,mn:mx,'b--');
plot(y,r,'r.','MarkerSize',10);
xlabel('a... |
1bed1a39c585b33a4004392871d888d70b65d043b8a10b0ccade852f03c486da | MATLAB | 776 | 32 | NFig = [2,5,13,28,29,31, 41,45,60,63,65,72,90,104,107,115,122,34,38, 12];
nFig = numel(NFig);
figFinal = figure(100);
clf
NAx = [3, 2, 5];
iSubPlot = 0;
for iFig = 1:nFig
fig1 = figure(NFig(iFig));
for iAx = 1:3
iSubPlot = iSubPlot + 1;
if mod(iSubPlot,7) == 4
iSubPlot = iSubPl... |
5e683d965661c2c6aaeaab5ec2653461019ad3ef01702b86d0e69b39f6698576 | MATLAB | 781 | 1 | function [cnt, err] = checkRange(in,small,large)
%
%AUTHOR: Wandell, Baseler
%
%ARGUMENTS:
% in: vector of values to check
% small: Either a number or a vector of length equal to in
% large: Either a number or a vector of length equal to in
%RETURNS:
%
% cnt: number of values out of range
% err: 2 x length(in) mat... |
c42046f193123f61d88b97805367b0ba1fe642748048c492a10dfb47dde23be5 | MATLAB | 782 | 36 | function exportWaveforms_Callback(obj,~,~)
% Export all the DAQ waveforms for this stim config file as a .mat file
%
% zapit.gui.main.controller.exportWaveforms_Callback
%
% Purpose
% Allows users to present stimuli in a piece of external softare and
% not use the Zapit API at all for prese... |
a1f2f77a6acd253ab986b2a9232485bcbbb3417e42d4baf40219f34e2b7a799d | MATLAB | 784 | 34 | function out = bload(fname, arg1, startpos, datasize, skip)
% loads a binary file
%
% usage: bload(fname, [NumChannels SamplesToLoad], startpos, datasize, skip)
% starts reading from startpos BYTES into the file (not samples)
% datasize defaults to 'short=>double'
%
% final argument "skip" allows you to repeatedly ski... |
2de1638ba4aadde2bea2d13e273d47d8391e2c183d09a324c3e1522608af49fc | MATLAB | 785 | 25 | function removeMissingRecentConfigs(obj,~,~)
% Remove from previously loaded stim config list any files that no longer exist
%
% zapit.gui.main.controller.removeMissingRecentConfigs
%
% Purpose
% Searches through the list of previously loaded configuration files.
% Removes any that are no lo... |
bc2b7903b324e1131645f4ea04efa4071a6587a4d80a6733ed874c609c7b66e7 | MATLAB | 785 | 33 | % test out the nidaq by driving TTL pulses on a digital clock
fs = 2000;
framerate = 20;
devices = daq.getDevices();
dev = devices(1);
s = daq.createSession('ni');
s.Rate = fs;
s.IsContinuous = true;
camCh = s.addCounterOutputChannel(dev.ID, 1, 'PulseGeneration');
disp(camCh.Terminal);
camCh.Frequency = framerate;
... |
361f6eaad462097c5cf8b7c727c164f098c2eb60b90db0bcf2b763ca464fd188 | MATLAB | 786 | 28 | function y = energyvec(f,s,Fs,width)
% function y = energyvec(f,s,Fs,width)
%
% Returns a vector 'y' containing the power of signal 's' filtered for
% frequency 'f' (via convolution with a complex Morlet wavelet described
% by 'width')
%
% INPUTS:
% f - frequency to filter at
% s - signal to be filtered
% Fs - sampli... |
8055dae28a8020557079cb5d91552263706509d150c1e5ddcdefad8d700b4332 | MATLAB | 789 | 21 | function [blurriness blurFlag] = checkBlurriness(imgNeuron_store,blurThresh)
% % This function checks if the input neuron image is blurry
% % Input 16-bit neuron image and return 1 if the blurriness of the image(calculated by
% % taking fft of the input image and taking the average of the 45% ((2/3)^2) highest fre... |
00cbf982e777ca4232988864d82035fe2202aff60e214e70b80852347d5e0c65 | MATLAB | 792 | 21 | function [new_img_R, new_img_B] = background_sub(Image, vq_R, vq_B)
figure(10)
imshow(vq_R,[],'InitialMagnification','fit')
title('circle a region for background substraction')
%function of selected interested region for background substraction
Selected_background_Region = ROI(vq_R);
back_mean_R = mean2(vq_R(log... |
07a39dd87e6be84e05445aaec87b5872f7cbb84dba51f74d54d676128bf46bc1 | MATLAB | 792 | 25 | function res = listMetRxnsWithFluxes(model, sol, met, consumption, lowerLimit)
if nargin < 5
lowerLimit = 0;
end
mets = strcmp(model.metNames,met);
SMultFlux = model.S(mets,:) .* sol.x.';
if (consumption)
rxns = sum(SMultFlux < -lowerLimit, 1) > 0;
SMultFluxNeg = SMultFlux(:,rxns);
SMultFluxNeg(SMultFlu... |
4bc7b7c6b001e8c9fc7a6963e3b90bcd0bf7227d64528d11089d2bad7e41b9a8 | MATLAB | 792 | 28 | #!/usr/bin/env octave
# Script to generate PALM permutation indices for HCP data
# ========================================================
#
# cf: https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/PALM/ExchangeabilityBlocks#EBs_for_data_of_the_Human_Connectome_Project
#
# Requires:
# - hcp2blocks.m
# - PALM
# - restricted HCP d... |
b5839060cfb781f594bdfabb89ac771128d39e2c2cb4074b493b131e740b6d7a | MATLAB | 806 | 30 | %% check_asym_tree
%% test 1
Tasym = [];
Lasym = [];
dLPTCs = load_tree ('dLPTCs.mtr');
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
Tasym = [ ...
Tasym; (asym_tree (tree, T_tree (tree), 'none'))];
Lasym = [ ...
... |
655750cf5fd404cfcb840476f47cec10e8fd7e2ac6fe57bb179e21ad631722ae | MATLAB | 807 | 36 | clear
load('../data/2020_07_connectomes90_AllFC.mat')
rng(42)
ss = readtable('../data/subs_pop_release3.csv');
ss = table2cell(ss);
is_sub = zeros(1,size(sub,2));
tes = zeros(1,size(ss,1));
for i = 1:size(sub,2)
if any(strcmp(ss(:,1),sub{i})) && any(strcmp(ss(:,2),ses{i}))
tes(fi... |
cfec9af0651d99a14a2293950a9d047b7f6bcc1494570c9a8cf7b3db5f571580 | MATLAB | 807 | 27 | clear all
close all
unifyContextClasses = false
averageAllBoutsFromSession = false
TakeJustTheta = false
TakeJustGamma = false
matlabImpute = false
imputeIters = 80
NumTrees = 80
usedMouseId=[]
substractMouseMean = false
LeaveOut = 'mouse'
balanceClasses = false;
classes6 = {'Social','Object','Isolated... |
70820ee77b360c5126b790e60c16fff3602fdc71051bb99dfb2cf99532c20a43 | MATLAB | 808 | 31 | function desktopPath = getDesktopPath
% Return absolute path to user's Desktop folder
%
% function desktopPath = zapit.utils.getDesktopPath
%
% Purpose
% Return the user's desktop path. Used for example and demo code.
% Cross-platform. Returns home directory if for some reason it can
% n... |
af383e95f19048cb05de167dd5efe65ebb2f3f8a03e2ca041f724ecbdaf1a1d7 | MATLAB | 808 | 33 | %op_CSIAverage.m
%Brenden Kadota, Sunnybrook, 2021
%
% USAGE:
% [out]=op_CSIAverage(in);
%
% DESCRIPTION:
% Averages CSI FID-A structure along average dimension.
%
% INPUTS:
% in = Input CSI FID-A structure
%
% OUTPUTS:
% out = Averaged CSI FID-A structure
function MRSIStruct = op_CSIaddNoise(MRSIStruct, sdnoise, n... |
9460e35410038f7d4309e0c54a17bb778f4ab71ae491e8d78fc33bd8794998fe | MATLAB | 809 | 26 | dblist=dir('Database_*.mat')
Data_Succ=zeros(length(dblist), 3);
Data_Dur=zeros(length(dblist), 3);
Data_pval=zeros(length(dblist), 2);
for i=1:length(dblist)
load(dblist(i).name);
for j=1:length(MotorSynth)
temp=[];
cnt=1;
for k=1:length(MotorSynth(j).LTAdur(:,1))
... |
524a219f14388d0b0705ef59fde3c8e28d038ed8e4ecd3cf30891c4dbfaec988 | MATLAB | 811 | 28 | function zPaths = findZapitPathsInMATLABpath
% Find all paths associated with Zapit in the MATLAB path
%
% zapit.updater.findZapitPathsInMATLABpath()
%
% Purpose
% Search through the MATLAB and return all paths associated with zapit. This is
% to look for multiple installs and also to look f... |
f8e1bbf6c812a71677f51419f03bc8f5364741d2e413549a5a31d460b3d2e69d | MATLAB | 813 | 24 | function fov = getFov(MRSIStruct, dimension)
switch(lower(dimension))
case 'x'
fov = MRSIStruct.fov.x;
case 'y'
fov = MRSIStruct.fov.y;
case 'z'
fov = MRSIStruct.fov.z;
case 'kx'
xCoordinates = getCoordinates(MRSIStruct, 'x');
... |
8258031d06aec1a12515eb2e6be795b3efeb5e5577760dcec437a65cd7fea3ff | MATLAB | 814 | 27 | function installPath = getInstallPath
% Get the install path for the Zapit package
%
% zapit.updater.getInstallPath
%
% Purpose
% Return the path to the package install. This is used for reporting to the
% user this information and also for house-keeping tasks related to keeping
% the in... |
351ba4c485333c06c73012b041f50bffa5a18da248883dd775d0d8eb59223fe5 | MATLAB | 815 | 23 | function prettifyAxes(hAxes)
switch hAxes.Type
case 'colorbar'
set(hAxes, ...
'Box' , 'off' , ...
'TickDir' , 'out' , ...
'TickLength' , [.02 .02] , ...
'XColor' , [.3 .3 .3], ...
'YColor' , [.3 .3 .3], ...
... |
b35098af5f0fe18d4d72c56580c7a15032ffe93091d8012a53181e4369c58f55 | MATLAB | 816 | 36 | %% check_child_tree
%% test 1
dLPTCs = load_tree ('dLPTCs.mtr');
for counterN = 1 : 100
for counter = 1 : length (dLPTCs{1})
tree = dLPTCs{1}{counter};
child_tree (tree);
end
end
%% test 2
child_tree (sample_tree, [], '-s')
tprint ('./panels/child_tree1', ...... |
aa804f5f45a08f330ef056982c7e1c9ce2861868f19f2a18783f154392874f8b | MATLAB | 817 | 25 | function res = listMetRxnsWithFluxes(model, sol, met, consumption, lowerLimit)
if nargin < 5
lowerLimit = 0;
end
mets = strcmp(model.metNames,met);
SMultFlux = model.S(mets,:) .* sol.x.';
if (consumption)
rxns = sum(SMultFlux < -lowerLimit, 1) > 0;
SMultFluxNeg = SMultFlux(:,rxns);
SMultFluxNeg... |
bf8b86070eb7285b5caf915cb4eb265a0aa65731bcbd7ba8e1cf93f5b00133b0 | MATLAB | 818 | 29 | function testFiltering
% Test a convolution for generating the smoothed scanner waveforms instead of the
% ad-hoc linspace thing
nSamples = 100;
wavForm = [ones(1,nSamples), ...
ones(1,nSamples)*2, ...
ones(1,nSamples)*1.5]';
clf
kernelLength = 8;
filtWav ... |
172fe08535fcd95ce7c8849a15d484bb1c6ac2f507067943f446190c1e9363a1 | MATLAB | 819 | 39 | function analogOutput_Finite
% Play one cycle of a waveform out of an analog output using the on-board clock
%
% function daqtoolbox.AO.analogOutput_Finite
%
% Instructions
% Connect AO0 of NI device Dev1 to an oscilloscope and run this function.
%
%
%
% Rob Campbell - Basel 2016
%
% See also;
% vidrio.AO.hardwareFini... |
6844d6be00f8642ad8b5f82ec2559addc2dfc230711190d387f7d933c63b7d63 | MATLAB | 819 | 26 | function CSPMatrix = estimate_spatial_filters(riemannianCovarainces,final_labels, numSpatialFilters)
unique_labels=unique(final_labels);
Nclass=size(unique_labels, 2);
Ntrials = zeros(1, Nclass);
%% Estimation of class prototypes
classPrototype = cell(Nclass,1);
tic
for i=1:Nclass
... |
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