sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a67f96e86e8a0e6342b7f309462ed7f08f99cf01d70e2023852b28c93a98bbbb | MATLAB | 9,062 | 212 | % tCFS_prepE1_data
%this script concats group effects for b-CFS and re-CFS, and exports in
%JASP friendly format.
% reorient load.
job=[];
job.concatGFX= 1;
% job.plotPFX=1;
% job.plotGFX=0;
%% set up some directories.
% homedir = 'C:\Users\mdav0285\OneDrive - The University of Sydney (Staff)\Desktop... |
5d68444e3ab90ae0a2c261373d8d8961c3508f29440afcdc40978dc26ada5cd2 | MATLAB | 9,063 | 189 | function [W0, R] = null_model_dir_sign(W,bin_swaps,wei_freq)
%NULL_MODEL_DIR_SIGN Directed random graphs with preserved weight,
% degree and strength distributions
%null_model_und_sign
% null_model_sign
% W0 = null_model_dir_sign(W);
% W0 = null_model_dir_sign(W,bin_swaps);
% W0 ... |
b9e1a8d25602bb0f403d90d23a72d7958548c449af3e242c37b9534aa0333e2e | MATLAB | 9,068 | 252 | %% load dataset
% load('dataset_201.mat', 'df'); % load data of 201 brain regions
load('dataset_53.mat', 'df'); % or load data of 53 brain regions
% load('dataset_64.mat', 'df'); % or load data of 64 brain regions
load('onto.mat', 'onto');
ivol = cat(1, df.Volume{:}); % get volume of each... |
99d149ed733987def56607202bef7efb88036b9248573e9c8f2a8157a6822e43 | MATLAB | 9,069 | 337 | function [errs warns] = generic_unit_classifier(class_args)
% Generic classification train/test unit test
%
% [ERRS WARNS] = GENERIC_TEST_CLASSIFIER(type)
%
% Calls the classification train/test functions specified
% in CLASS_ARGS on a variety of synthetic and real
% data. This script is intended to be called from
% w... |
2736321429872afc7d4e1b3c4346838b29ef5c68ea8606b7db89de068c4e9ccb | MATLAB | 9,077 | 268 | function T = poly_to_tensor(r, gamma)
% T = POLY_TO_TENSOR(R, GAMMA)
%
% Construct orientation tensors in up to four dimensions from quadratic
% polynomial expansion coefficients. The algorithm is described in chapter
% 5 of Gunnar Farnebäck's thesis "Polynomial Expansion for Orientation and
% Motion Estimation".
%
% R... |
8e78247a70d2812dcffce945827288d39e09ab0dc4c3209520af9cc41d8b0486 | MATLAB | 9,112 | 197 | function [mapsShuf] = voronoiFieldShuffle(map_unsm,map_pos,nRnd,cellID,trID)
% Randomise data by voronoi-segmenting rate map and randomly rearranging segments.
%
% [mapsShuf] = voronoiFieldShuffle(map_unsm, map_pos, n_shuffle)
%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Map/field segmenta... |
a1bcc22a8aa4c796d757266fa3098fc39cb34b91b665ae5514ca3a4672bc744f | MATLAB | 9,150 | 186 | % function [data,scaleparams] = decoding_scale_data(cfg,data,scaleparams,residuals)
%
% Function to perform data scaling on training or on test data. There are
% two ways in which scaling can be performed: Using the data itself to
% estimate scaling, or using external data (e.g. a covariance matrix from
% residual... |
95f62565e6c79465066a3307c04028433e8c8f3a9dcc42edc5c68389095c1e69 | MATLAB | 9,173 | 318 | %% MONPangle
% Lloyd Russell 2018
% Calculate how to align optical axis of microscope opbjective to be
% perpendicular to the tilted sample plane. Calculates the pitch and yaw
% values for use with the Bruker orbital nosepiece given the recorded tilt
% of window which is measured by recording the Z depth when thr... |
fb54a733adeedc46ca50cdc65d683e31ab160775ac0cf916c962528e3af0c7e5 | MATLAB | 9,174 | 203 | % Plot voltage and spike times for sim figure in hco 2.0 article
run("../initOAT");
% read in voltages
stel_nR = NeuronReader('/mnt/StorageDrive/General/comp_neuro/gmu/research/simulation/hco_2/sim_fig/results/n_MEC_LII_Stellate.dat');
bask_nR = NeuronReader('/mnt/StorageDrive/General/comp_neuro/gmu/research/simulatio... |
1d456f19c5b839479e2e88e6c0af45161825ca2278b9e6eb3ff86251f035b535 | MATLAB | 9,183 | 190 | % Figure 5
%creating quadrent lines to help deliniate regions of the plot
x_lineatzero = [-40:0.5:40];
y_xlineatzero = zeros(1,length(x_lineatzero));
y_lineatzero = [-40:0.5:40];
x_ylineatzero = zeros(1,length(y_lineatzero));
x_linezeros = [-40:0.5:40];
y_apone = ones(1,length(x_linezeros));
%Need... |
a95b50d8251e9dc272fe21c1bd108651ca3fe783418d3710fde37e11788872db | MATLAB | 9,193 | 195 | %% Plot burst-highlighted raw data for axons in tunnels
clear
clc
% stim_dir="D:\Brewer lab data\HFS\No Stim\23-Nov-2021_B\"; % no stim
% stim_dir="D:\Brewer lab data\HFS\Theta Stim\10-May-2022_A\"; % 5hfs
% stim_dir="D:\Brewer lab data\HFS\HFS Stim\24-Nov-2021_A\"; %40 HFS
% testing
% stim_dir="D:\Brewer lab data\H... |
a6661ed942a66a5f44d02ccff0641c8fb98389636c97909bc3b172f0e565fdd6 | MATLAB | 9,206 | 255 | % mv_classify_timextime unit test
%
rng(42)
tol = 10e-10;
mf = mfilename;
%% Create a dataset where classes can be perfectly discriminated for only some time points [two-class]
nsamples = 100;
ntime = 300;
nfeatures = 10;
nclasses = 2;
prop = [];
scale = 0.0001;
do_plot = 0;
can_discriminate = 50:100;
cannot_discrimi... |
07cc3b9bc53bd867cd79836407cd0ae7b5703d93e6d3e68902799ed7f877c3f1 | MATLAB | 9,218 | 282 | function bhvr_plot(p)
% function bhvr_plot(bhvr, p)
%
% Plot behavioral data and analyses. Creates the following plots:
% 1. Response distribution and vMMM fit
% 2. Response bias
% 3. Behavioral precision (estimated kappa of the vMMM) for each group
% 4. Other estimated parameters for each group
% 5. Individual vMMM f... |
fdd51f7da18ed2d5d758e71212cc606114730952f1a9c1de179a7a15f9d8447f | MATLAB | 9,219 | 129 | %Gets list of clinical channel labels, and corresponding montage channel
%numbers in some cases. Additionally, has mechanism to proofcheck that have
%correct channels labels in various files.
%
%fnames: structure that may contain:
%*root_dir
%*subjectID
%*task
%*ses
%2024/02/25
function varargout=fetch_channels(fnames... |
1c1966a9a58b203eb23c6da4594bd0a758e366097a3d24562618ec2e69518235 | MATLAB | 9,222 | 398 | clc; clear all; close all
folder='/archive/bioinformatics/Danuser_lab/Fiolka/Manuscripts/POPSIM/CodeToShare/ExampleData/'
%% cross-correlation
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
time=[1]; % time... |
a98ba44d32acc7ec4ebfb53121cdde44a5efc8595722525cc9e2f5f2c9824f09 | MATLAB | 9,239 | 255 | function h = mv_plot_2D(varargin)
%Plots 2D results, e.g. a time x time generalisation. Plots the results as
%a color matrix. If a 3D matrix is given several subplots are created.
%
%%Usage: Two possible usages, either giving additional parameters in a cfg
% struct (with cfg.key1 = value1) or directly giving the ... |
242b9cffefc2ade32e5b11daca6604490dabd25fb55dd0e6880960ae4be48232 | MATLAB | 9,282 | 264 | function Experiment = run_vwm_training(Experiment)
Subject = Experiment.Subject;
Display = Experiment.Display;
%% Instructions and example trial
% Timing and trial parameters
itiExample = 2.5;
trialCueExample = 0.5;
stimExample = 2;
maskExample = 2;
cueExample = 2;
delayExample = 6;
respExample = 3;
probeExample = ... |
bc5fec8cefe192c558aae954ee9fb1210463f29b36ec765a68c40463850daf6f | MATLAB | 9,302 | 342 | function [y, S, F, ydata,alphaK,timeOurs,converge,LF] = SIMLR(X, c, k, ifimpute,normalize)
%%%
if nargin==2
k=10;
ifimpute = 0;
normalize = 0;
end
if nargin==3
ifimpute = 0;
normalize = 0;
end
if nargin==4
normalize = 0;
end
if ifimpute
X = X';
[I,J] = find(X==0);
Xmean = mean(X... |
2344362162e5019c7bfc628c595813872ff94e701dc93238d05524103ca03309 | MATLAB | 9,303 | 344 | function setGuiFonts(inp1, inp2)
ns = getNamespace();
if isempty(ns)
return;
end
if strcmp(ns, 'AtlasViewerGUI')
if nargin == 0
setGuiFonts_AtlasViewerGUI();
elseif nargin == 1
setGuiFonts_AtlasViewerGUI(inp1);
elseif nargin == 2
setGuiFonts_AtlasViewerGUI(inp1, inp2);
end
el... |
3cd02877d6c92b10a504296bd9403c7232a2550bfe12dd04262cd3bb8528db3f | MATLAB | 9,307 | 272 | %This script calibrates optical path correction.
%Be sure to scan a flat surface using scanTarget function
%% Inputs
%experimentPath = s3SubjectPath('2019-11-30 Imaging Flat Surface On Motorized Stage','',true);
experimentPath = s3SubjectPath('2020-01-24 Imaging Flat Surface On Optic Table','',true);
json = aw... |
9a3bb08b178a51abc44e2e9be643454d1dfa0c14b0c5bde69a3723a2fa1d6ca0 | MATLAB | 9,311 | 232 | function [update] = ...
polynomial_expansion_registration3d(moving, fixed, varargin)
% POLYNOMIAL_EXPANSION_REGISTRATION3D Estimates a displacement field using polynomial expansion
%
% INPUT ARGUMENTS
% moving - Moving image
% fixed - Fixed image
%
% OPTIONAL INPUT ARGUMENTS
% 'signalModel' ... |
9a6cba8f36c519f507f3e57b0fe58983a85c8ce165d8e8b58742f001d76c602a | MATLAB | 9,336 | 244 | % function design = make_design_boot_cv(cfg,n_boot,balance_test,n_train)
%
% Function to generate design matrix for classification using bootstrapping
% in the decoding toolbox. This design is helpful if it is not clear how
% to separate training and test data (e.g. which pair should be left out)
% or if there is u... |
c8223d142e7de65e60145f32815e89fe20a79a74a26860c8f253c25c7d11f92e | MATLAB | 9,336 | 368 | function Duszkiewicz2024_Figure_IsomapWake
% This script reporoduces panels from:
% Figure 7, Extended Data Figure 10
% Dependencies:
%TODO: script dependencies, links to external functions
% Copyright (C) 2023 by Adrian Duszkiewicz and Adrien Peyrache
%
% This program is free software; you can redistribute it and... |
1419bdb40d686fd182c3cc90a8a11df58d279078832559592f8e50a796073e1e | MATLAB | 9,343 | 345 | function [center,radius] = minboundsphere(xyz)
% minboundsphere: Compute the minimum radius enclosing sphere of a set of (x,y,z) triplets
% usage: [center,radius] = minboundsphere(xyz)
%
% arguments: (input)
% xyz - nx3 array of (x,y,z) triples, describing points in R^3
% as rows of this array.
%
%
% arguments:... |
d6fb45e0d326526dccd6817fdf8836ff09c05084500a95622745c6f36eda681d | MATLAB | 9,370 | 289 | % STATUS: inactive
%
% SYNTAX:
% grpBarChartROINames_04(sbjGrp,numClasses,rejChnOp,saveOp)
%
% DESCRIPTION:
% Plot decoding performance (accuracies) of each channel as bar chart.
%
% RESTRICTION:
% None.
%
% INPUTS:
% sbjGrp - int: group of subjects. Encoding as follow:
% 1 - high-performance group
% 2 ... |
e64c04e2f1969666edf9fd60f0a76a8f8e439e01759def6a6fa95daa9ff60b60 | MATLAB | 9,377 | 283 | % function design = make_design_xclass_cv(cfg)
%
%
% Function to generate design matrix for cross classification using the
% decoding toolbox. This function uses leave-one-run-out crossvalidation,
% but keeps training and test data separate. In that way,
% crossclassification is done with independent runs.
%
% IN
% c... |
856981d8798be27e0357de7d970cfcc7e50482ec144350e45104a50433a785a4 | MATLAB | 9,389 | 248 | % Classifier unit test
%
% Classifier: lda
rng(42)
tol = 10e-5;
mf = mfilename;
% Random data
nfeatures = 100;
X = randn(1000, nfeatures);
clabel = randi(2, size(X,1),1);
%% check "scale" parameter: if scale = 1, training data should be scaled such that mean(class1)=1 and mean(class2)=-1
% Get classifier params
par... |
110de19d6f2233bfba7ef38e49ab12cb984a33dbc96419e46ba4415f35859d0f | MATLAB | 9,406 | 296 | % tCFS_prepE3_data
%this script concats group effects for b-CFS and re-CFS, and exports in
%JASP friendly format.
% reorient load.
job=[];
job.concatGFX= 1;
% job.plotPFX=1;
% job.plotGFX=0;
% adding data for average contrProfile per speed (review figure)
%% set up some directories.
%PC
% homedir... |
461507240bfbf811d1437a292422b249f97dc33ca532c3607099fe68430d1a08 | MATLAB | 9,408 | 300 | function [err, v, Info, Com] = Read_1D (fname, p1)
%
% [err,M, Info, Com] = Read_1D (fname, [opt])
% or
% [err,M] = Read_1D (fname,[opt])
% or
% M = Read_1D (fname, [opt])
%Purpose:
% Reads an AFNI 1D file into M
%
% The file is to contain an ASCII table
% of numbers. All rows must have the same number ... |
c0219b9de9904a93bc89a396c33273476d416ecef7ae3403d2fe4b3c12b5f675 | MATLAB | 9,411 | 231 | % STATUS: active.
%
% SYNTAX:
% preprocessFNIRS06_BVar(sbjNum,rawDataFN,movieList)
%
% DESCRIPTION:
% Perform GLM on entire set. No splitting into training/test set.
%
% RESTRICTION:
% Only for sbj 08 and 10.
%
% INPUTS:
% sbjNum - subject ID. 2-digits string. Ex: '08'.
% rawDataFN - 1xN cell array of nirs data rec... |
71c523c4bfe5016860bf4b97e8495c7edab2bb79e2361eedcea0d375eecd0f18 | MATLAB | 9,427 | 256 | clear; close all; clc;
% modification from @GenerateExpectedGC6fResponsetoNoise in noise folder
% and from @TestSpatialDecorrelation_position_NatMov in NaturalSceneVideo
% folder
%%
FolderPath = '\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\NaturalSceneVideo\Preprocessed\Blue\';
nClip = 11;
%%
positio... |
0a1a8c86cac17353842103dc086fe22dd0385759bce90af3da27cff647bf307d | MATLAB | 9,455 | 240 | % references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/430093-rotation-about-a-point
% run options
sample_matrix = 0;
write... |
b1fe88d04cb6eece50feefa1e2db7261789f626dd8883b4030bb28383f18e3ef | MATLAB | 9,468 | 240 | % references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/430093-rotation-about-a-point
% run options
sample_matrix = 0;
write... |
c8581be8d83cb529984098b4a4b70b3bd4934804897fce9ec06f622c3249076f | MATLAB | 9,472 | 306 | % PrairieLinkRawDataStream
% ========================
% Convert and save raw data on-line
% Lloyd Russell 2016. Optimised on 2017-03-10. Added 'GUI' on 2017-04-11
% Henry Dalgleish 2018 implemented online motion correction (using Suite2P functions)
%
% To do:
% ------
% * Fix first run bug - very first time run... |
b6ffed675ab8255ae516bfc8f064d3fd17f7db4fa6417e6b50ed41204483be03 | MATLAB | 9,505 | 380 | function demnlab(action);
%DEMNLAB A front-end Graphical User Interface to the demos
%
% Description
% This function will start a user interface allowing the user to select
% different demonstration functions to view. The demos are divided into
% 4 groups, with the demo being executed by selecting the desired
% option ... |
d5c07a89d5e1f6b138f894c872965ae0820092c4bf042084bb2583845e6a0ceb | MATLAB | 9,510 | 270 | function [adj_list_pat_idx scratch adj_list_mask_idx adj_neighb_counts] = adj_sphere(mask,varargin)
% Creates adjacency list using spherical neighbourhoods
%
% [ADJ_LIST_PAT_IDX SCRATCH ADJ_LIST_MASK_IDX ADJ_NEIGHB_COUNTS] = ADJ_SPHERE(MASK, ...)
%
% Create an adjacency list using a spherical neighbourhood
% function.... |
be1e1587aab4e058684a404f0f98575c70843a0df81d585a119efc87f50ff173 | MATLAB | 9,515 | 204 | %% Manuscript Information
%
% Authors: Tadamoto Isogai, et al.
% Title: Direct Arp2/3-vinculin binding is required for pseudopod extension,
% but only on compliant substrates and in 3D
%
% Abstract: A critical step in cell morphogenesis is the extension of actin-dense pseudopods,
% controlled by actin-bindin... |
9ffa19a2a4de976e972f3afb70fbade2f81d4a1e8d95cd76b114eec1bcc40586 | MATLAB | 9,530 | 225 | function trialStruct = runTrial_OLD(taskStruct, dispStruct, trialStruct)
% randomize higher/lower buttons across left/right presentation
buttonChoiceOrder = randperm(2);
if buttonChoiceOrder(1) == taskStruct.HIGH
buttonChoiceL = dispStruct.imgGuess_Higher;
buttonChoiceR = dispStruct.imgGues... |
b57bf5c0cd23670685db3e557e0aea3c678fdfaec97f278ac803d59ff73a6383 | MATLAB | 9,531 | 240 | % references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/430093-rotation-about-a-point
% run options
sample_matrix = 0;
write... |
6375aa896923a49a1c1e426317d16b5c87404ab85a97a986e8ed994de1cc4beb | MATLAB | 9,539 | 240 | % references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/430093-rotation-about-a-point
% run options
sample_matrix = 0;
write... |
1574b9049b23a7f7b15604bbd5835bbcadecf6ca7ddfb9504a3c3d8a065a8cba | MATLAB | 9,554 | 240 | % references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/430093-rotation-about-a-point
% run options
sample_matrix = 0;
write... |
00f736ee5cbe0d7459978a4ef7f6cc6a283a8a78b281a6033683cb3a61c302ee | MATLAB | 9,560 | 386 | function Duszkiewicz2024_Figure_IsomapREM
% This script reporoduces panels from:
% Figure 7, Extended Data Figure 10
% Dependencies:
%TODO: script dependencies, links to external functions
% Copyright (C) 2023 by Adrian Duszkiewicz and Adrien Peyrache
%
% This program is free software; you can redistribute it and/... |
ca77ed1294643b4e67a384e3ea580a584f4395ed6627bf6e6e02ef713af652ab | MATLAB | 9,591 | 343 | %% Init
if(isempty(which('MovieData')))
addpath(genpath('~/repo/utsw-ssh/'));
else
disp('Code is already loaded');
end
clc;
clear; close all
%% Detect objectes on two projections angle
data_source = '/archive/bioinformatics/Danuser_lab/Fiolka/MicroscopeDevelopment/OPM/projection/MV3fixed/GEMS/201002/Cell10... |
6c5cb157459adea166fb917a140707815a8e82b2d188a39076987e243bfeb768 | MATLAB | 9,644 | 295 | %% Figure 7 of van den Berg*, Wong* et al, 2024, iScience
addpath('.\functions\');
salColor = [.7,.7,0];
baseColor = [0,0,0];
[data,pairTable] = DRC_load_data;
%%
allBaseSTRF = cat(3,data.STRF{pairTable.basePairSel});
allBasePRF = cat(3,data.PRF{pairTable.basePairSel});
allBaseCGF = cat(3,data.CGF{pairTable.basePa... |
900357cefa028665a8267acf50ac1df75cfa2fd8242212ceb89a897ccc649d55 | MATLAB | 9,681 | 249 | % create high-resolution trajectory and firing plot
close all;
if run_on_hopper==1
curr_dir=pwd;
%curr_dir=replace(curr_dir,"gc_can_1",strcat(fdr_prefix,int2str(local_run)));
cd /home/nsutton2/git/OAT_CS4/
initOAT
cd(curr_dir)
addpath /home/nsutton2/git/CMBHOME_github/
elseif use_hopper_data==... |
7a5819f30eab35576e7bc23638964025920cf29361c80681c9b1b0a545e10ed6 | MATLAB | 9,686 | 270 | % function [results, cfg] = decoding_example_afni(decoding_type,labelname1,labelname2,beta_loc,output_dir,radius,cfg)
%
% We don't recommend using this for editing! Use decoding_template instead.
%
% This is a general function for two class classification with AFNI, using
% a linear SVM as implemented in the libsvm sof... |
96c12d867bf43a92c8c9d94da1a725ffd2942dcb2df61f7df892fae467ed4317 | MATLAB | 9,687 | 228 | % split into single and multi groups.
% new. Use trials from dcNew var
% Use different method of concatenating to validate the code in
% calcCumSumUpdateDCNew.m
% work for all sbj 08-16
function calcSlopeValue(sbjNum,numClasses,saveOp)
% channels pruned stored in mlActAuto var
processedDataDir = ['C:\Users\mn0mn\Docum... |
1fc452e96a789c1e9b88f5561f4d03196dc9af1ada3f2d50d8de9e7804654c0f | MATLAB | 9,689 | 263 | function TrackFigureMoviesWithTracks(fileParams, trackFigureMovieParams)
%% File Parameters
secBtwFrames = fileParams.secBtwFrames;
pxPerMicron = fileParams.pxPerMicron;
exportFolder = fileParams.exportFolder;
thetaInDegrees = fileParams.thetaInDegrees;
thetaInRadians = fileParams.thetaInRadians;
%% Input Parameters
n... |
0c8744bfbbfaf6a17f49725628ac81559b09c8400f6544e5f835e08a3d2a2b4c | MATLAB | 9,708 | 249 | % For figure 7b in Draft 3
% Use sbj 12 and 19 as example
function grpPlotPerf_Fig7b(sbjList,numClasses,saveOp,rejTrOp)
fs = 50;
%timePt = (0:0.25*fs:5*fs)+2*fs;
timePt = (-2*fs:0.25*fs:5*fs);
performanceLDALedoitHbTMean = zeros(length(sbjList),length(timePt));
performanceLDALedoitHbTCI = zeros(length(sbjList),length(... |
7a977807239a19db7dd77217c0c52e19d9a307a00173444c763d356587ceca1e | MATLAB | 9,716 | 211 | function [interferogram, dimensions, apodization,prof] = yOCTLoadInterfFromFile(varargin)
%%This function loads an interferogram data from file and preforms initial
%interferogram preprocessing
%
%USAGE:
% [interferogram, dimensions, apodization] =
% yOCTLoadInterfFromFile(inputDataFolder,'param1',value1,'... |
9c6a86eba21833e688eb5cf13507e89bde484171e07761bb4270316f9d502f9b | MATLAB | 9,726 | 272 | % Run after @GenerateExpectedGC6fResponseNoise
% Get the filename for the batch loop
clear; close all; clc;
ChopClipL = 60;
UpSamplingFz = 100;
Txcorr = [-95 -5];
radius = 40; %
Addnoise = 0.002;
%% load comparison grids
Topic = 'Ai148_Grm6Cre';
Day = '110318';
Cell = 1;
Exp = 5;
FolderPath = '\\storage1.r... |
0ccc2191683fe61669b1b05de4ff47aed993b744b8463a50615921f28de7c9e5 | MATLAB | 9,732 | 355 | % This script re-creates Figure S4 from van den Berg*, Wong*, Houtak,
% Williamson, Borst (2024) iScience
datapaths;
load([DRCPath,filesep,'M30_S04_DRC.mat'],'Stm') % stimulus matrix
load([DRCPath,filesep,'M30_S04_DRC_SpkT.mat'],'SpkT') % Trial-aligned spike times
load([DRCPath,filesep,'M30_DRC_PSTH.mat'],'PSTH') % PS... |
b54a3a683feb9e6e4211cfc5e35050254e9e37ab5f552aa028d101d97904f816 | MATLAB | 9,732 | 248 | %% Create Graphs with strength of connections varying with time representing slopes of AFR between nodes
clear
clc
close all
%Loading prerequisites
% load("D:\Brewer lab data\HFS\Temporal Analysis\No Stim\dataInfo.mat")
% load("D:\Brewer lab data\HFS\Temporal Analysis\No Stim\full_idx_allregion_unit_matched_stim.mat")
... |
cdd4ada4b89d69e5afdf8edda56b478d62a85957aa4ef0aa9a8c1de59461cd41 | MATLAB | 9,733 | 240 | % references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/430093-rotation-about-a-point
% run options
sample_matrix = 0;
write... |
414ce45f14f5b3c8a0c976865c47ea18508f26fd3e9c20ac32e28c5753e7cfdd | MATLAB | 9,755 | 217 | classdef Stimset < Sharedmethods
%Stimset object
% A stimset object is a group of acquisition sweeps in an NWBfile that were acquired by the same protocol/stimset
%
% ---------------------------------------------------------------------------------------------------------------------
% Author:... |
af26e386a35231aa8660f283971e70e5f65955c5f205ee2fbb41a162e88db096 | MATLAB | 9,775 | 411 | function setpaths(options)
%
% USAGE:
%
% setpaths
% setpaths(1)
% setpaths(0)
%
currdir = pwd;
try
warning('off','MATLAB:rmpath:DirNotFound');
appname = 'DataTreeClass';
% Parse arguments
addremove = 1;
if ~exist('options','var')
options = '';
elseif isnumeric(opt... |
bcfcc85ddbcadba2e49f7646e185e670567196a93050de4cbe487888394e04c5 | MATLAB | 9,820 | 220 | function stackConfig = scGenerateStackConfig(varargin)
% This function generates stack config structure based on the inputs below.
%PARAMETERS:
% 'appendToSC' - stack config structure that you would like to append
% data to.
% 'sampleID' - the sample identification eg. 'LA-01'
% Information specific for... |
f0313bd220913d22353bf0333845fc2b9fc0bbd783886068389ce718de06e853 | MATLAB | 9,829 | 237 | % run CircleAnalysis_BipolarCellTerminal.m
options.IsPCA = 1;
options.IsDebug = 0;
options.EstimationType = 'DoG';
%[Params, ~, Costv] = estimateCenterSurround(ROIFeatures, options);
options.EstimationType = 'Amp';
[SimpleCSRio, Curves] = estimateCenterSurround(ROIFeatures, options);
options.EstimationType... |
661cfb7e3087f00d6a69ac4373b1f12cc9ed8ea962edad5885f7fb6e45767a24 | MATLAB | 9,830 | 309 | % von Mises Mixture Model for Random Dot Motion
% _
% This script performs a vMMM analysis for data from the RDM experiment.
%
% Author: Joram Soch, BCCN Berlin
% E-Mail: joram.soch@bccn-berlin.de
%
% First edit: 07/08/2018, 15:10 (V1)
% Last edit: 07/04/2020, 16:50 (V5)
clear
close all
% specify bias
bias = 'mo... |
1d570929e6e554caa8862865cad7b91e3d03402a634a87d6491a689ac55dce7a | MATLAB | 9,837 | 275 | % mv_classify_across_time unit test
%
rng(42)
tol = 10e-10;
mf = mfilename;
%% Create a dataset where classes can be perfectly discriminated for only some time points [two-class]
%
nsamples = 100;
ntime = 300;
nfeatures = 10;
nclasses = 2;
prop = [];
scale = 0.0001;
do_plot = 0;
can_discriminate = 50:100;
% Genera... |
2e43672e463cb52158f07f99a4cf35bebde784e814e252af697c2a41fca566af | MATLAB | 9,848 | 327 | function [r_est, m_est, k_est, MLL] = ME_vMMM_ML(y, mu, kr, m)
% _
% Maximum Likelihood Estimation for a von Mises Mixture Model
% FORMAT [r_est, m_est, k_est, MLL] = ME_vMMM_ML(y, mu, kr, m)
%
% y - an N x 1 vector of angles (domain: -pi <= y_i <= +pi)
% mu - a 1 x K vector of means (default: mu_1 = 0, mu_2... |
bb28966fc79f35f2a23c684afdcfef142b0797042813db77f20a42478acfa7fb | MATLAB | 9,860 | 159 |
% Nav-Math Experiment: First level analysis
%Check the brain activation at subject level using MNI space
%% SET UP THE ENVIRONMENT
clc
clear
restoredefaultpath
SPMPath = '/Applications/spm12';
addpath(SPMPath);
spm('defaults', 'fMRI');
spm_jobman('initcfg');
pmDataPath='/Users/federica/data/GridMagination/3Iso/Scr... |
f1b9f715ee6cf7f74dd801d0e8fcfb919857d0e7a25d07cff94b4ab01450de49 | MATLAB | 9,867 | 270 |
clear;close all;clc;
%%
IsMakeVideo = 0;
if IsMakeVideo
FolderPath = '\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\NaturalSceneVideo\Preprocessed\Blue\';
nClip = 11;
MovieSize = nan(nClip, 3);
SharedVar = nan(nClip, 1);
clear RFctr_L RFctr_NL
for i = 1:nClip
... |
bc040c3f3afc43e698d1bce90df626c26dced2eb16773d07ea332aaa96b4dd19 | MATLAB | 9,885 | 343 | function [F0,Fn,Zn,F] = EPGX_GRE_BM(theta,phi,TR,T1x,T2x,f,ka,varargin)
% [F0,Fn,Zn,F] = EPGX_GRE_BM(theta,phi,TR,T1x,T2x,f,ka,varargin)
%
% EPG-X for Bloch McConnell coupled systems w/ gradient echo sequences
%
% arguments:
% theta: vector of flip angles (rad) - length = #pulses
% ... |
9c85e6b6bfc69e15a1e9a288a1421be0249b2cce0b88be4087621c81382ea35d | MATLAB | 9,887 | 284 | % figure 5A: example of RISE method
% last update: October 26 2022
% Amirhossein Farzmahdi
clear
close all
clc
% fixed random seed for regenerating same result
seed = 42; rng(seed)
% add path
addpath(genpath('functions'))
images_dir = 'mat_files/';
result_dir = 'results/';
% loading data
load(images_dir+"5000_masks... |
ed3cc5254c210eb6cb83b4ecf8219725f57d4420f852486635c26943a4813572 | MATLAB | 9,904 | 105 | function [G,h] = build_G_h_quadratic3d(A,delta_b,transformationModel)
% BUILD_G_H_QUADRATIC3D Builds the equation system G*p = h
%
%
% INPUT ARGUMENTS
% b1 - b = [b1 b2]'
% b2 - b = [b1 b2]'
% deltaC - c_fixed - c_moving
% transformationModel - Transformation mode... |
ea95184f763293cd621f775ed0002a422a0fd7be13249b300e685c494883f9f6 | MATLAB | 9,923 | 362 | function demtrain(action);
%DEMTRAIN Demonstrate training of MLP network.
%
% Description
% DEMTRAIN brings up a simple GUI to show the training of an MLP
% network on classification and regression problems. The user should
% load in a dataset (which should be in Netlab format: see DATREAD),
% select the output activ... |
10796690c48024d6110526afda13efa616c614b9525ba60d663fa06484255e94 | MATLAB | 9,931 | 274 | %==========================================================================
% This script preprocesses the behavioral data.
%
% Lukas Kunz, 2023
%==========================================================================
% start
clear; clc; close all;
% paths
paths = [];
paths.beh = 'G:\My Drive\Manuscripts\2... |
02d536447c25bea99d97f5c185d88e8f772135ed63131ee5edb22cf797fc05dd | MATLAB | 9,932 | 362 | function demtrain2(action);
%DEMTRAIN Demonstrate training of MLP network.
%
% Description
% DEMTRAIN brings up a simple GUI to show the training of an MLP
% network on classification and regression problems. The user should
% load in a dataset (which should be in Netlab format: see DATREAD),
% select the output acti... |
6dc835c60c5f545de76dba9781d4d8aeea30b2c12fa2f778921bcc787d5ffc76 | MATLAB | 9,958 | 349 | function selection = MenuBox(msg, bttns, relativePos, textLineWidth, options)
%
% SYNTAX:
%
% selection = MenuBox(msg, bttns)
% selection = MenuBox(msg, bttns, relativePos)
% selection = MenuBox(msg, bttns, relativePos, textLineWidth)
% selection = MenuBox(msg, bttns, relativePos, textLineWidth, options)
%
% E... |
c838f8c3b889dc353ec7a960a068b779b5f75d167fe24f802d3bb1946fd4d704 | MATLAB | 9,973 | 233 | function output_variable=neuron_reconstruction(wholestack,to_be_added,source_variable,outputpath)
% wholestack: the recorded stacked
% to_be_added: the neurons to be added
% source_variable: neurons already tracked
% outputpath: outputfolder
figure
id_added(size(to_be_added,1),1)=0;
for i=1:size(to_be_added,1)... |
de3b784ca2a780ba2917830245a968894d7c2a330217b188ce6c6fa91f3f0e34 | MATLAB | 9,991 | 288 | function batch_SurpriseMinimization
% in order to replicate the results from Wurm, Ernst, Steinhauser (2023),
% download the preprocessed EEG data and regression results via figshare
% (https://figshare.com/articles/dataset/2023_Wurm_SurpriseMinimization/23055974).
% Unzip and change dir_data accordingly.
% This sc... |
f16192496ad87f43cc4829027023fe01b0ad2818cc90de79b57f033908df57f0 | MATLAB | 10,016 | 166 | %% Extended Data Fig. 5a: heat maps of post-stim AQuA events color-coded by onset latency after uncaging
% All events from the entire FOV 0-120s following uncaging will be
% plotted, along with the uncaging site (drawn in AQuA as landmark 1)
%
% Written for multiple conditions, excluding ramping cells and
% cho... |
7a2675161ea8ac29766193c6ce0b48778e798e774d538b0d2be3a62f0195dbab | MATLAB | 10,033 | 295 | function [v, cout] = velocity_from_tensors(T, model, kernelsize, sigma, cin)
% [V, COUT] = VELOCITY_FROM_TENSORS(T, MODEL, KERNELSIZE, SIGMA, CIN)
%
% Compute a velocity field from a tensor field, using the algorithm
% described in section 6.5 of Gunnar Farnebäck's thesis "Polynomial
% Expansion for Orientation and Mot... |
79830249636282d430180dc372d04d9cda4e15efc55b6ef227b72b8c8e03dc58 | MATLAB | 10,061 | 294 | function [out1,out2,out3] = ginput(arg1)
%GINPUT Graphical input from mouse.
% [X,Y] = GINPUT(N) gets N points from the current axes and returns
% the X- and Y-coordinates in length N vectors X and Y. The cursor
% can be positioned using a mouse. Data points are entered by pressing
% a mouse button or any key... |
d8fc89f806253fc412404276a1436ecbf39d8a0801c9f155204c51eadd1cb2ab | MATLAB | 10,067 | 175 | function AssertOpenGL
% AssertOpenGL
%
% Break and issue an eror message if the installed Psychtoolbox is not
% based on OpenGL or Screen() is not working properly.
% To date there are four versions of the Psychtoolbox, each based on a
% different graphics library:
%
% OS9: Psychtoolbox-2, based on Apple's QuickDraw.
... |
4f8378189a74ddd6c46b516733cc35847b4c77590baa1e9648c99108df2a3b6f | MATLAB | 10,094 | 366 | %% Figure 8 supplementaries
%% Load behavior results
BeDAT = load('Data/20220828_Behavior_signedOri');
BeDAT.Behavior = fitBehaviorGau(BeDAT.Behavior);
%% Original Paramters
sParmStim.FGCtrs = 24; % %
sParmStim.FGOrt = 0; % deg
sParmStim.FGSF = 4; % cyc/deg
sParmStim.FGSize = 0.84; % deg
sParmStim.FGSigma = sPa... |
588d974431b9dc1af741e1b8f15d8ceb4a850665662ea260786789cb6963d185 | MATLAB | 10,095 | 317 | function [mds] = plot_mds(subj,patname,regsname,varargin)
% Plots a multi-dimensional scaling of a pattern
%
% [mds] = PLOT_MDS(SUBJ,PATNAME,REGSNAME,VARARGIN)
%
% This is designed to help you visualise the patterns of your data. it
% does an MDS (see 'cmdscale') on the PATSNAME data, returning a
% matrix with all of... |
a4d54b57bab51e1c23d2d5ae9332b95b39542bcdeaf97a9eeb68ef71cc05c930 | MATLAB | 10,108 | 428 |
%% Load data
binsize = 0.2; % bin size for population vectors, needs to be large
thSmooth = 2; % smoothing factor of population vectors
iso = 1; % set to 1 if need to re-run Isomap
load(fullfile('Data','SpikeData'));
load(fullfile('Data','BehavEpochs'));
[~, foldername, ~] = fileparts(pwd);
load(fullfile('Sleep',[... |
a9312a7c9899a52f19d963ec24bfab2e6f377de6b8b348b9f58f63b1f0d21c9c | MATLAB | 10,127 | 312 | function [subj new_regsname] = convolve_regressors_afni(subj,old_regsname,runsname,varargin)
% Convolves regressors with HRF
%
% [SUBJ NEW_REGSNAME] = CONVOLVE_REGRESSORS_AFNI(SUBJ,REGSNAME,RUNSNAME,...)
%
% Takes a set of regressors and convolves each condition
% with a gamma haemodynamic response function using AFNI... |
3fd954b315b3524b5ec68d47c528a9efe36c207d9effb94435a73815d4b2c779 | MATLAB | 10,153 | 97 | %Fetches analyzed data from subjects.
%NEED TO PROOFCHECK
%2024/02/26
function subject=fetch_subject_data(root_dir,subjectIDs,varargin)
subject=struct(); %initialize structure in which will store values
for sub_nber=1:length(subjectIDs) %for each subject
subject(sub_nber).subjectID=subjectIDs{sub_... |
7c07dd51fac4738286f67a75454fbf93d82011f4fb14e80cc1fc9f66d4fd2786 | MATLAB | 10,156 | 200 | % Extract single HRF from dcNew variable, the output of GLM fitting function
% save to mat file.
% For experiment 08 and 10
function createSingleTrialHRF_Updated_DiffBasis(sbjNum,movieList,opAllBasis)
%saveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment' num2str(s... |
6bb2f823040785d16765ae257d929e10da3ddd1a6a140d56a09abafe36539f78 | MATLAB | 10,194 | 330 | clear all;
supPath = 'C:\noga\TD complex spike analysis\Data\albert\saccade_8_dir_75and25';
load ('C:\noga\TD complex spike analysis\task_info');
req_params.grade = 7;
req_params.cell_type = 'PC ss';
req_params.task = 'saccade_8_dir_75and25';
req_params.ID = 4000:5000;
req_params.num_trials = 50;
req_params.remove_que... |
6dba5dcb88650b5d95ea4041910b260efa45214596d414899b2dbb237e1992bc | MATLAB | 10,198 | 284 | % split into single and multi groups.
% new. Use trials from dcNew var
function plotPerformanceCumsum(sbjNum,numClasses,behScore)
% channels pruned stored in mlActAuto var
saveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment' num2str(sbjNum)];
saveDir2 = ['C:\User... |
e24bd5e0fb4cffd4fdb932c7df6dd224a6deff8fde58da94ff8f7f2494bdcfed | MATLAB | 10,200 | 334 | clear all;
supPath = 'C:\noga\TD complex spike analysis\Data\albert\pursuit_8_dir_75and25';
load ('C:\noga\TD complex spike analysis\task_info');
req_params.grade = 7;
req_params.cell_type = 'PC ss';
req_params.task = 'pursuit_8_dir_75and25';
req_params.ID = 4000:5000;
req_params.num_trials = 50;
req_params.remove_que... |
235c4ab49119b74a10611f2df2935e176ec7e12384f397aed1106277c5d135e8 | MATLAB | 10,203 | 254 | function t_point = out_of_sample(point, mapping)
%TRANSFORM_SAMPLE_EST Performs out-of-sample extension of new datapoints
%
% t_points = out_of_sample(points, mapping)
%
% Performs out-of-sample extension of the new datapoints in points. The
% information necessary for the out-of-sample extension is contained in
% ... |
2870b9d946b0c079d59f3a4c32d8e11a74e1d6067761898a85e248a3d226c0d0 | MATLAB | 10,234 | 245 | function h = mv_plot_result(result, varargin)
%Provides a simple visual representation of the results obtained with the
%functions mv_classify_across_time, mv_classify_timextime, mv_classify,
%and mv_regress.
%
%The type of plot depends on which of these functions was used and on the
%dimensionality of the data.
%
%U... |
7f4e32153a5b4eda6b01b9dfda0543df020433885298f2078871c4ae5d572e22 | MATLAB | 10,255 | 275 | function cf = train_svm(param,X,clabel)
% Trains a support vector machine (SVM).
%
% Note: It is recommended to demean (X = demean(X,'constant')) or z-score
% (X = zscore(X)) the data first to speed up the optimization.
%
% Usage:
% cf = train_svm(param,X,clabel)
%
%Parameters:
% X - [samples x features]... |
f12354f8d83f479c41a00bd1094a611651365721249aea591f1d043f209900d9 | MATLAB | 10,276 | 234 | % function output = decoding_transform_results(method,decoding_out,chancelevel,cfg,data)
%
% This function calculates a lot of different result measures defined by
% METHOD.
%
% FURTHER METHODS: Type
% >> transres_
% and hit tab key
%
% e.g., it also calls external transres_XX functions that implement othe... |
9d1d836486c99bab2b61b0bd3ddede70c8ed5410e6148aef8747770398748be4 | MATLAB | 10,295 | 328 | function [hs, hc, contour] = triplot(pnt, tri, val, mode, levels)
% TRIPLOT make 2D or 3D plot of triangulated surface and interpolated values
% The surface can be displayed with linear interpolated values or with
% linear interpolated contours of a potential distribution.
%
% Use as
% triplot(pnt, tri, value)
% t... |
951ec13b8804c96983385fdd28960feae7996aaaad242fee3a0982cc89c5d8f8 | MATLAB | 10,302 | 207 | %% Initialization
for initialization=1
addpath('C:\Users\enric\OneDrive\Documents\SeeElegans\Functions')
% initial parameters
global xy_pixel_size; global z_pixel_size
% parameters to be chosen
global thresholds; global sizes; global zsizes; global sigmas; global time_processing
% vis... |
c373ea3aee0c52262d0aceaee21f2c8408e2329107a90c5ba11415d30eff9d4c | MATLAB | 10,302 | 129 | function SetGuiProcLevel(handles, iGroup, iSubj, iSess, iRun, procLevelSelect)
global maingui
% Function implements rules for which currElem are chosen in responce to
% various combinations of listboxGroupTree and proc-level radiobuttons
% selections
% Set new GUI proc level state based on current GUI selections of l... |
ee4bac05addee15c39328daa9ff6ec8aa781d7fab5ad32fd1ddaf942054303b5 | MATLAB | 10,318 | 266 | % This script is a demo showing some simple searchlight decoding on
% simple simulated 3d toy data.
% The toy data are matlab matrices and no real fMRI or EEG data.
%
% If the dimensions of the data are 15 15 9, "TDT" will be decoded from the
% data.
%
% Otherwise, we use randn data for all voxels in 3d volume... |
cf62dd9196f5181294e97e57c2396edadeedd8e6e74cf281337782a0227ce175 | MATLAB | 10,357 | 317 | % references: https://www.mathworks.com/matlabcentral/answers/180778-plotting-a-3d-gaussian-function-using-surf
% https://www.mathworks.com/help/symbolic/rotation-matrix-and-transformation-matrix.html
% https://www.mathworks.com/matlabcentral/answers/430093-rotation-about-a-point
% run options
sample_matrix = 0;
write... |
e357f486cfc497ea88a3b71af4dbb3210d54401b1c3a7b8002d5bd7033fa1194 | MATLAB | 10,360 | 289 | function [net] = AccuSleep_train(fileList, SR, epochLen, epochs, imageLocation)
% AccuSleep_train Train a network for classifying brain states
% Zeke Barger, 081120
%
% Arguments:
% fileList - a cell array with three columns. Each entry is the path to a
% file of training data (as a string). The first ... |
01de736599097e7378150be08079f2f2a30521833a507952153b9a5db18ba8cf | MATLAB | 10,367 | 370 | function handles = configSettingsGUI(varargin)
handles = [];
% Parse args
[filenames, nParamsPerCol, lastpos, options] = ParseArgs(varargin);
InitializeGuiStruct(filenames, options);
hf = CreateGui();
ResetGui(hf);
ResizeGui(hf, nParamsPerCol, lastpos);
hBttnSave = DrawBttns(hf);
DrawConfigParams(hf, hBttnSave);
hand... |
fd9dd20f484cd78361a7c732d566b53ea8283d4f7abc163893281eecf92f9fef | MATLAB | 10,386 | 411 | %% CLEAN
clear;close all;clc; %clean old residues
params.extract_databases = 0;
params.extract_pivot_table = 0;
params.export_png=1;
params.export_fig=1;
params.export_txt=1;
params.export_mat=1;
params.data_type = 'dff';
params.PEATS_binsize_ms = 60000; %en ms
params.PEATS_x_tickfreq = .5; %1/10
%% FILTERING S... |
2ca5601c57ca5f22811b094e24ec683608b6473a74825d0b5f773521a42ff4f2 | MATLAB | 10,401 | 304 | function [scratch] = train_bp(trainpats,traintargs,in_args,cv_args)
% Creates a backpropagation neural network and trains it.
%
% [SCRATCH] = TRAIN_BP(TRAINPATS,TRAINTARGS,IN_ARGS,CV_ARGS)
%
% You need to call TEST_BP afterwards to assess how well this
% generalizes to the test data.
%
% See the distpat manual and the... |
413043fcae7aa38d534e635c9c4a1427ddb97924ff12af4734ea8abd9fac1da6 | MATLAB | 10,413 | 280 | % function mask_name = decoding_create_maskfile(cfg,data_location)
%
% This function will create a mask file to be used for the data provided,
% named mask.nii, mask.img, mask+orig.BRIK, mask+acpc.BRIK, mask+tlrc.BRIK
% (depending on the software used), in the location of data_location or -
% when it is not a director... |
1c7d96859835fc491d2fd123a1a8ce6e4076b41abd57cda01bb406dc20581457 | MATLAB | 10,436 | 275 | % STATUS: analysis. For internal report.
%
% SYNTAX:
% plotAll_PSD_Welch(sbjNum)
%
% DESCRIPTION:
% plot estimate of power-spectral density for each channel. If axes are
% highlighted in red, it means this channel is rejected (didn't meet the
% SNR threshold).
%
% RESTRICTION:
% Only for sbj 12 and afterward.
% ... |
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