sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
c04a5158ba05e7e7ae66d0ab93afe863c4c17a56093ada7b511098dd8844a302 | MATLAB | 2,844 | 77 | %% 非线性（动力学）特征：基于时域的熵 | nonlinear features: time-domain-based entropy
%% 样本熵 | Sample Entropy （similar to Approximate Entropy）
% 表征时间序列数据的复杂性（complexity）和规律性（regularity），值越大，时间序列越复杂、越不规律
% X: single channel EEG signal (either a row vector or a column vector)
% opts.r：相似容限阈值，通常r在0.1std(X)和0.25std(X)之间时，En有比较合理的统计特性，默认0.... |
332a17088afaa4da57ccbceadf2c731d6b9ff8219a9a90161e24659f333ccac7 | MATLAB | 2,847 | 130 |
if ~exist('calib_name')|~exist('format_image'),
data_calib_no_read;
return;
end;
check_directory;
if ~exist('n_ima'),
data_calib_no_read;
return;
end;
check_active_images;
images_read = active_images;
if exist('image_numbers'),
first_num = image_numbers(1);
end;
% Just to fix a minor bug:
if ~e... |
184d30946db8061b76081e24ee9fc43050004edb47ba39ec930c199fc15362d5 | MATLAB | 2,848 | 108 | % C = myconv(A,B,...)
% One-dimensional correlation/convolution of vector a with filter B
% Options:
% Type of filtering:
% 'corr': perform correlation [default]
% 'conv': perform convolution
% Output size:
% 'same': output vector C is the central part of the correlation that is
% the same size as A [default]
% 'full':... |
d2fc288023b4d0bcf4ca15c8f5c56895ca39c1116bff5008a84f8ade1c760418 | MATLAB | 2,848 | 81 | function generatePmtkStats()
%% Generate an html page showing PMTK3 statistics such as LOC by directory.
%
% PMTKneedsMatlab
%% Settings
% This file is from pmtk3.googlecode.com
excludeComments = false;
%includeMatlabTools = true;
directories = {'toolbox', 'demos\bookDemos', 'dem... |
0c4b3e33768e0a2766ae3922d1e6781df1c50a7a19c545742afee41e7cb90fb8 | MATLAB | 2,849 | 97 | function PlotTemplates(spkDat, varargin)
% convert waveform data from int16 to double-precision floating point
spkDat.waves = double(spkDat.waves);
sameScale = true;
convertToVolt = true;
clustList = setdiff(unique(spkDat.id), 0);
clustListIn = clustList;
for i = 1:2:length(varargin)
switch varargin{i}
c... |
1fb35fa9745214a126954616b948e1db59e525554bbd303086622dd5e84b6914 | MATLAB | 2,851 | 100 | %%%Prostate cancer
clc;clear all;close all;
[file path]=uigetfile('*');
[X X1 X2]=xlsread([path file]);
inc=0;
for i=1:size(X,2)
if(length(find(isnan(X(:,i))))<(size(X,1))/2)
inc=inc+1;
inn(inc)=i;
end
end
data=X(:,inn);
tic
data1=knnimpute(data);
dd= find(strcmp(X1(1,:... |
dfaf1a578bc024a1ce0c82111de158b18fe22cfddaf6f59fa215e8605e74acc7 | MATLAB | 2,851 | 81 | function fmf_animate( filename, f_start, nframes, incr, flip, cm, aoi )
% fmf_animate( filename, f_start, nframes, incr, flip, cm, aoi )
%
% F_START is the starting frame (1-based) [default 1]
% NFRAMES is the number of frames to animate [default inf]
% INCR is the frame index increment to plot [default 1]
% FLIP is a ... |
261348318b1765ebb64d5d4f3c458999824ca0b07d15268299caa3af32e677cc | MATLAB | 2,852 | 143 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
7bda5431a6409db69719cb6fc7f97c1d60a4f4bf1ee17d98ff62e69a60332d8e | MATLAB | 2,852 | 67 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef ContractilityWaveform < Waveform
% ContractilityWaveform: Waveform class for contractality data
methods
function this = ContractilityWaveform(aChannel, aStart, aData, aSource, aSubs... |
80027714031df8ed6747e6ac1d005e647683e0f436ac4df7a3a463e95609c8f8 | MATLAB | 2,852 | 59 | % domain_split_newprocessing.m
% 8/24/20
% Sarah West
% splits the color mask ICs with multiple regions into
% individual regions. Use on the SVd compressed then ICA data.
%% load data
%close all;
clear all
num_sources=50;
z_score=3.5;
a_thr=150;
downsample=0;
mice={'13'}; %'14';'15'; '20'; '21'; '22'; '23'; '24'}; ... |
bd91387bf0ed4016e3106ca6addba991406e929828e2f0467f45125cead4b1ae | MATLAB | 2,852 | 75 | tic
clear all
global trsh m_size
trsh = 0.05; m_size = 6;
N_exp = 4;
ini_arrays;
time_max = 100;
sim_name = 'Cat loco model results';
read_file
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% after parsing the current file of simulation results
% we will have simulation time, number of populati... |
dbc29f2bb821770ae56aac517e93d002d0e5ab64daf06f48e300d69a937a2786 | MATLAB | 2,852 | 129 | % Field Trip-related test scripts - Synthetic FT data - Data generation.
%
% Includes.
% FIXME - Assume init has already been called.
%
%
% Configuration.
% Burst type definitions.
% These are band-agnostic.
% Short pulses, not chirped or ramped.
burstpeep.trange = [ 1.0 2.0 ];
burstpeep.framp = [ 1.0 1.0 ];
bur... |
f65258c6b11e92eeb2b7a061849cc44eb43d87ca59908ff3f6cc71fe2ca5fc07 | MATLAB | 2,852 | 84 | function cost = getCost(problem, x, storedb, key)
% Computes the cost function at x.
%
% function cost = getCost(problem, x)
% function cost = getCost(problem, x, storedb)
% function cost = getCost(problem, x, storedb, key)
%
% Returns the value at x of the cost function described in the problem
% structure.
%... |
fee5e88a5654190b6adc6147078d9f90fe6fd247e2719d0678cdf52c10b76b75 | MATLAB | 2,852 | 97 | function M = shapefitfactory(VJt)
% Linear manifold structure for optimization over the ShapeFit search space
%
% function M = shapefitfactory(VJt)
%
% Input: VJt is a matrix of size dxn, such that VJt * ones(n, 1) = 0.
%
% Returns M, a structure describing the Euclidean space of d-by-n matrices
% equipped with... |
0fcdc9e732fd42146eae438f282369a88fc3cd1177acca29051b891cad2ff9bd | MATLAB | 2,853 | 66 | %% SAT - app_input::
%% helper.filterCharIndex
% Name: Phone Kyaw
% Date: 09/19/2024
% Description: Remove the char/str row until only one is left in 'data'
% and 'char_index', one is intentionally left to split into
% trials
% Parameters: data - all th... |
2351df99fcc91b2113b88bc5ef84d563448a0555d77f82e800e31ecca3f77040 | MATLAB | 2,854 | 106 | %% sta-plot scratch
% Generic Method to plot the interspike interval (ISI) from the 'SpikeTimeCell'
%
% --> Also called as a method for ppDataCell
% --> Future stability upgrades will be needed.
% Copyright (C) 2023 Trevor S. Smith
% Drexel University College of Medicine
%
% This program is free software: y... |
7d3287168e24a92d5cd5bdc0950b3a5b486e312c8a9b00fb93f88454bc2e5653 | MATLAB | 2,855 | 92 | function [clu, tree] = run_cluster(features, cfg)
% NOTA: este script es un PLAGIO
% NO DISTRIBUIR BAJO NINGUNA CIRCUMSTANCIA
%
% ************************cfg************************
% - fname_in : input file name (doesn't have to exist, most like an output)
% - fname : output file
% - mintemp : minimum temperature
% - ... |
f47a1c1f817852f7e8ce53edae348183d27a460214bfb88e9827741ec281e47e | MATLAB | 2,855 | 61 | addpath(genpath([pwd '/Utils']));
addpath(genpath([pwd '/Data']));
addpath(genpath([pwd '/SubRoutines']));
clear;close all
genotypeName = {'R22D03AD_R20E08DBD Retinal Male','R22D03AD_R20E08DBD Retinal Female',...
'L320 Retinal Male','L320 Retinal Female',...
'L188 Retinal Male','L188 Retinal Female',...
'L219... |
fda9503d1e4588782b36d3e94a13f6e85aa5ffc3c627854f152e1b6c1fab15b0 | MATLAB | 2,855 | 68 | clear
close all
clc
%% Load atlas
% path to MRI template - must include hdr and img files
atlas = niftiread('/Users/jstrohl/Documents/20230908 Pipelines for neural data analysis/Dependencies/ATLAS-MICE 2/2011-10-30_MRI-template3.hdr', ...
'/Users/jstrohl/Documents/20230908 Pipelines for neural data analysis/D... |
8f90f7070d5b808bcb432a8fb2372579cb8fe1f8756abe38a48a0dbf336b0c76 | MATLAB | 2,856 | 75 | % function [Montage] = ExtractMontage (csdFileName, eegLabels)
%
% This is a generic routine to determine any EEG montage from a *.CSD
% ASCII file (cf. Kayser & Tenke, 2006a) using an ordered list of channel
% labels (i.e., a cell string array).
%
% Usage: [ Montage ] = ExtractMontage ( csdFileName, eegLabels )... |
08989051ede2fefddcb84e5b389a78ed0cdd9257c590de931a6b6271dc136e0a | MATLAB | 2,858 | 86 |
sem_name = sprintf('/%s.gc',getenv('USER'));
semaphore(sem_name,'open',1);
ret = semaphore(sem_name,'getvalue');
if ret ~= 1
semaphore(sem_name,'unlink');
semaphore(sem_name,'open',1);
end
%fn = fullfile('/mp/nas1/share/ExSEQ/ExSeqAutoFrameA1/3_normalization/exseqautoframea1_round006_ch03SHIFT.tif');
%fn = fu... |
717a56c1809b2ffb28c29c382aeea6aca2784cf0b3b8fcd64d98c5c826067671 | MATLAB | 2,858 | 66 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
%% Removes stimulus artefact by interpolating from pre (in ms) to post (in ms)
% IN:
% cnt: continuous signal in eeglab structure
% eventType: name of event in trigger channel cnt.event.type
% interpol_window_msec: [pre post] -stimulus interpolation time in milliseco... |
aa5522c0b9b68f0e180dad95cc75c3f60cefe89e19ffd6ba9beb10ac3d0fe727 | MATLAB | 2,858 | 91 | function derivative = Diff(samples,timestamps,varargin)
%Diff - Differentiate.
%
% USAGE
%
% derivative = Diff(samples,<options>)
%
% samples data to differentiate
% measured in number of samples (default = no smoothing)
% <options> optional list of property-value pairs (see tab... |
c87ecb02307bb2ed342a0aa63c751c88fb2059e7d92dcffdcd441c8d089b8d92 | MATLAB | 2,859 | 79 | function [x,iflaw] = fmhyp(N,p1,p2)
%FMHYP Signal with hyperbolic frequency modulation.
% [X,IFLAW]=FMHYP(N,P1,P2) generates a signal with hyperbolic
% frequency modulation : X(t) = exp(i.2.pi(F0.t + C/log|t|))
%
% N : number of points in time
% P1 : if the number of input arguments (NARGIN) is 2, P1 is a
% vect... |
6d3c5a1671a3e37b91dc37caa6071562777c744a468595291ab0ab82cde4e204 | MATLAB | 2,860 | 89 | % FluorescenceContinuousAverageHemispheres.m
% Sarah West
% 8/23/23
function [parameters] = FluorescenceContinuousAverageHemispheres_Inverted(parameters)
MessageToUser('Hemisphere averageing ', parameters);
data = parameters.data;
comparisons_continuous = parameters.comparisons_continuous;
variables_... |
eb533ca9c381c0f48e2ef16bb2afb95fcd3f6e34c918ccf92c523881dfc7156e | MATLAB | 2,860 | 118 | function hout=suptitle(str)
%SUPTITLE Puts a title above all subplots.
% SUPTITLE('text') adds text to the top of the figure
% above all subplots (a "super title"). Use this function
% after all subplot commands.
% Drea Thomas 6/15/95 drea@mathworks.com
% John Cristion 12/13/00 modified
% Mark Histed 03/13/04 ... |
259818e9a2a5e49e79cbc32a2f0fe9edbbc62abf9db0fa00d9376b88638d7c64 | MATLAB | 2,861 | 93 | function [latth,X,Y] = plot_lattice_grid(ax,sites,simParam,pcolorArgs)
% [h_sites,h_steps,food_start_ph] = plot_arena(ax,sites,simParam,colorMapSites,colorMapSteps,minmaxSiteMarkerSize,minmaxStepLineWidth,siteArgs,stepArgs)
if isempty(ax)
fh = figure;
ax = axes;
end
if (nargin < 4) || isempt... |
cc0bad246aa76e8ed18cd97895258d17d57fe2bd1eaa8df3c9fed47c04e471e2 | MATLAB | 2,861 | 79 | % Run for ToR-ORd+Land electro-mechanical model
% (Margara, F., Wang, Z.J., Levrero-Florencio, F., Santiago, A., Vázquez, M., Bueno-Orovio, A.,
% and Rodriguez, B. (2020). In-silico human electro-mechanical ventricular modelling and simulation for
% drug-induced pro-arrhythmia and inotropic risk assessment. Progress in... |
2d95bbfe6c705b7504c5a6b3c4649a8f5602bb7fe5339d4c2ee5f2b6d77b3bc7 | MATLAB | 2,863 | 115 | %% quadsr
%
% Trapezoidal rule quadrature (numerical integration) with sub-range specification
%
% <matlab:open('quadsr.m') code>
%
%% Syntax
%
% [q,xrsupp] = quadsr(x,y,xrange)
%
%% Arguments
%
% _input_
%
% x vector of evaluation points
% y vector of values corresponding to x
% xrang... |
905f9c5d3c78678f8338ed6dc87c807417de1c5b0cac218b044f1d2f258b63cb | MATLAB | 2,863 | 1 | function TSsetdefaulteventcodes ( filename )
% TSSETDEFAULTEVENTCODES( filename )
% This function works essentially the same way as TSimporteventcodes
% except that the codes are saved to a Matlab preference setting specific
% to this computer. Whenever an Experiment is not currently loaded, these
% codes will ... |
bb92256531e824f556ce0944c2f293beef4b6fe58e055ca25ce8494e940d8208 | MATLAB | 2,863 | 86 | function [p,f,gridx] = VBA_PPM(m,v,t,form,disp,ha)
% computes (and displays) P(x>t|m,v) or 1-P(t1<x<t2|m,v)
% FORMAT [p,f,gridx] = VBA_PPM(m,v,t,disp,form)
% IN:
% - m/v: sufficient statistics of the pdf
% -> if form='gaussian', m=E[x] and v=V[x]
% -> if form='beta', m=counts for y=1 and v=counts for y=0,... |
2b73f8b879c370e5396194e05f5eb98ad58e5eb53a6fc5e973e408c221c6b55b | MATLAB | 2,864 | 80 | clear
close all
rate = 0.25;
sigma = [0 10 20 30];
load('D:\Codes\CSCNN\CSCNN_test\phi_suhas\phi_0_25_1089.mat');
addpath(genpath('D:\Codes\CSCNN\BM3D'));
addpath(genpath('D:\Codes\CSCNN\TV_AL3\TVAL3_beta2.4'));
%Dataset for testing
test_images_dir = 'D:\Datasets\CSCNN\Images_for_CS_recon';
test_images = dir... |
a417b4c41d27905b6875de7ae5f58302579f19bc4e5acdfb408163d652d53363 | MATLAB | 2,864 | 67 | function [X,fVal,exitFlag,solverOutput] = exgauss_fit(y)
% EXGAUSS_FIT fits the ex-Gaussian distribution to a vector of data
%
% DESCRIPTION
% Optimizes fits between the data (y) and the ex-Gaussian distribution,
% using maximum likelihood estimation and a bounded Simplex algorithm.
%
% SYNTAX
% [X,fVal,exitFlag,... |
f8ea2a811cc44513ced42cb41284e5b234bf007a439fec80d37f8b52b87ebddb | MATLAB | 2,864 | 82 | function digitalIn = process_digitalin(basepath,fs,varargin)
% code adapted from getDigitalin.m in neurocode
% (https://github.com/ayalab1/neurocode/tree/master/preprocessing)
p = inputParser;
addParameter(p,'dat_name','digitalin.dat',@ischar) %snlab rig wiring for events
addParameter(p,'filter_channels',[1 2 3 4 5 6 ... |
0eb3f1fb8de36a027c888914b4f7147ec622f0fa00e468b1453eec438640ce19 | MATLAB | 2,865 | 67 | function [X,fVal,exitFlag,solverOutput] = exgauss_fit(y)
% EXGAUSS_FIT fits the ex-Gaussian distribution to a vector of data
%
% DESCRIPTION
% Optimizes fits between the data (y) and the ex-Gaussian distribution,
% using maximum likelihood estimation and a bounded Simplex algorithm.
%
% SYNTAX
% [X,fVal,exitFlag,... |
16b5c44757a0bc0cc48b4ad0ec9a510c4055744c99617208b3039d927323fbe7 | MATLAB | 2,865 | 75 | % This script plots mesh cross-sections and NIfTI data when availble
%
% Copyright SNM 2017-2022
addpath('../engines/graphics');
addpath('../engines/bem_fmm_engine');
VT = VT1;
f = figure('WindowState','maximized');
x = X(1);
% Display NIFTI slice
I = round(-x/d1d2d3(1) + N1N2N3(1)/2); % minus here!
S = squ... |
43069a4ca13eb10138bb8e3fdefd9c11430398476d9ca8eaf4845b7993ce8b54 | MATLAB | 2,866 | 96 | %% Joining old training data with new one
datadir = '/home/mayank/work/poseEstimation/headTracking/';
Q = load(fullfile(datadir,'FlyHeadStephenCuratedData_Janelia.mat'));
tt = dir(fullfile(datadir,'trainingData_fly*.lbl'));
newfiles = {};
for ndx = 1:numel(tt)
newfiles{ndx} = fullfile(datadir,tt(ndx).name);
end
... |
557cbe76acc62bd190c4f24fd3e7b55516ad1b32b0ed63a91d0b6a19237a6718 | MATLAB | 2,866 | 122 | function [omckk,Tckk,Rckk,H,x,ex,JJ] = compute_extrinsic(x_kk,X_kk,fc,cc,kc,alpha_c,MaxIter,thresh_cond),
%compute_extrinsic
%
%[omckk,Tckk,Rckk,H,x,ex] = compute_extrinsic(x_kk,X_kk,fc,cc,kc,alpha_c)
%
%Computes the extrinsic parameters attached to a 3D structure X_kk given its projection
%on the image plane x_kk and... |
2139496e6cd04ba89abdf5584ccf9c83945e1b2ce2ad9af143e2ca0de8de591c | MATLAB | 2,867 | 89 | % extractMotorData.m
% Sarah West
% 11/16/21
% Function that takes the output files from the Arduino serial monitor
% during motorized treadmill experiements and saves data as .mat files.
function [parameters] = extractMotorData(parameters)
putty_flag = parameters.putty_flag;
% Display progress message to u... |
4e5110dd84f485dcf93a3505a816ab1cb83b1124bb648ff61aac46336e92ba36 | MATLAB | 2,867 | 52 | function H = readIBWbinheader(FFN);
% readIBWbinheader - read BinHeader segment of Igor IBW file
% H = readIBWbinheader('foo') reads BinHeader of file Foo.ibw
% IBW version 2,5 only
MAXDIMS = 4;
fid = fopen(FFN,'r');
H.version = fread(fid,1,'int16');
switch H.version,
case 2, % typedef struct BinH... |
1fbaa2121a9043d5953ec360ecc49103f807e3a8fe4d5650b4b98c0675aa1d3a | MATLAB | 2,868 | 79 | function hessfd = getHessianFD(problem, x, d, storedb, key)
% Computes an approx. of the Hessian w/ finite differences of the gradient.
%
% function hessfd = getHessianFD(problem, x, d)
% function hessfd = getHessianFD(problem, x, d, storedb)
% function hessfd = getHessianFD(problem, x, d, storedb, key)
%
% Retu... |
85347d4cbb41f02dbbd1dbb4e1b7a092b1caef9112c5513f92e2faa154ff9806 | MATLAB | 2,868 | 73 | function [GTA] = y_GraphTheoreticalAnalysis_bu(G,RandomTimes)
% function [GTA] = y_GraphTheoreticalAnalysis_bu(G,RandomTimes)
% Perform graph theoretical analysis based on Brain-Connectivity-Toolbox (BCT, http://www.brain-connectivity-toolbox.net)
% Input: G - The binary undirected connection matrix
% R... |
75cb1de9528643c105142498c4a655bcc9cac36a38a2b3013a13a02283d3af78 | MATLAB | 2,869 | 61 | function h_zoomIn3(handles)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
try
h = findobj(handles.imageAxes,'Tag', 'zoomInBox3');
if isempty(h)
k = waitforbuttonpress;
point1 = get(gca,'CurrentPoint'); % button down detected
finalRect ... |
c5b63cb6f3c4161938e45a66638e39e8c3b590458ba8d740e5aec66c8d0ef124 | MATLAB | 2,869 | 131 | function gibbsGaussParamsDemo()
% Gibbs sample mu and Sigma given complete observations of an MVN
% We use the reading comprehension dataset
% from Peter Hoff's book p113
% This file is from pmtk3.googlecode.com
%PMTKauthor Emtiyaz Khan
%PMTKneedsStatsToolbox iwishrnd
data = [59 77
43 39
34 46
32 26
42 38
38 ... |
ff5dd670a292be2691f525c35e1cd981a10d68881eb9c4bc178e7a38a5cae3b0 | MATLAB | 2,870 | 104 | function convexFnHand
%% ====================================================================
% Figure 1
% =====================================================================
x = (-10:1:13) + 10;
y = convexFn(x);
x0 = 3;
y0= convexFn(x0);
x1 = x0 + 8;
x2 = x0 + 17;
y2 = c... |
c0d5f730ccff0993bbc30b2e5e16395d34c83506d55fca8021bab499e8ce2cf8 | MATLAB | 2,871 | 98 | % Demo for delay embedding
% This demo inverts a model of a linear oscillatory system, which operates
% with delays, i.e. its evolution function is of the form:
% x(t+1) = f(x(t-delay)),
% where the delay can be specific to the entry of the state vector x.
% VBA_NLStateSpaceModel.m uses embedding to model such delaye... |
de6c0ccb485bd48e7113f957ebc5e93ba9e5d194f0c16f3743be7c6c309d0503 | MATLAB | 2,871 | 107 | function C = rdivide(A,B)
%RDIVIDE Array right division for sparse tensors.
%
% RDIVIDE(A,B) is called for the syntax 'A ./ B' when A or B is a sparse
% tensor. A and B must have the same size, unless one is a scalar.
%
% See also SPTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This i... |
12bde6af04738347c3f78beca64c92637ed643ffd90a0a2fcd40afae1b83d678 | MATLAB | 2,872 | 85 | %% stashiftmat
%
% Used to generate a 'constant' shift (STA) operator from an SDO matrix.
% This is the dpx 'STA' (rowsum of dSDO), then sheared about its center of
% mass to produce a 'dSDO' which provides a constant shift (of mu) for the
% probability distributions provided.
%
%
% INPUTS
% sdomat - The sd... |
d0063db64d1c2fc7b54ccd9496fc2994c5d3079e70a2cfd87e98f8eff58a33ba | MATLAB | 2,872 | 94 | % Function for editing figure options
% <??LAN)<]
%
% Call from GUI bottom, e.g.:
%
% editF({'E','Jet'})
% or
% uicontrol('Style','pushbutton','Position',[0,0,20,20],'String','E','Callback',{@editF})
%
% The string is the specifit function for the bottom
%
% Avalable options:
%... |
c7b3bf9d9aed3767234da8e3eec5afc943bfd1a13b3720d50607ecfb33f9c86b | MATLAB | 2,873 | 130 | % this function converts data in non .crab formats into
% .crab format (an uncompressed HDF5 file)
% usage:
%
% crabsort.convert2crabFormat
% crabsort.convert2crabFormat()
function convert2crabFormat(options)
arguments
options.DataDir char = pwd
options.UseParallel (1,1) logical = false
end
allfolders = dir(... |
63d3aa71a47b0df9ced8d75ee48585679073c237c7ae5a8c66d2e08b2a2dd066 | MATLAB | 2,874 | 80 | % This script plots mesh cross-sections and NIfTI data when availble
%;
% Copyright SNM/WAW 2018-2023
%
addpath('../engines/graphics');
VT = VT1;
f = figure('WindowState','maximized');
%% below is XY-code
z = Z(1);
% Display NIFTI slice
I = round(z/d1d2d3(3) + N1N2N3(3)/2);
S = VT(:, :, I)'; % choose the... |
d1f8bdda31b701da805e726e6401193111d06179bb46abf8a1c04db02a298cd6 | MATLAB | 2,875 | 91 | function ff = prec_rec_plot(precisions, recalls, labels, varargin)
% AUTHORSHIP
% Math Lead & Primary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Secondary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab ... |
6642fa4e21e704e7fed8b8663069de3b414c9c449714aea6a8ebf12e2a9a3f55 | MATLAB | 2,876 | 81 | lwidth = 1;
txt0 = 4600; txt1 = 100; txt2 = IminV+33; txt3 = txt2-17;
%% PLOT CONTROL
PIC = min(Itotal(1:t_array(2)*10));
PICdesc = min(Itotal(t_array(2)*10+1:length(Itotal)));
subplot(5,5,pos1);
plot(timeV,IKdr_VC,'g','LineWidth',lwidth);
hold on;
plot(timeV,IM_VC,'Color',[102,153,102]/256,'LineWidth',lwidth);
hold o... |
f0b9370fb4052ffcfd782b80ef0c7ea5a0c0d981bf199a99e727ae4676dd97d2 | MATLAB | 2,876 | 87 | function [dat,baseline] = ft_preproc_baselinecorrect(dat, begsample, endsample)
% FT_PREPROC_BASELINECORRECT performs a baseline correction, e.g. using the
% prestimulus interval of the data or using the complete data
%
% Use as
% [dat] = ft_preproc_baselinecorrect(dat, begin, end)
% where
% dat data matrix... |
218abd82bab73d38652a4572b0ad9e124ce4a104ee77d72d34b7d7edc077df32 | MATLAB | 2,877 | 88 | function [x] = ft_struct2double(x, maxdepth)
% FT_STRUCT2DOUBLE converts all single precision numeric data in a structure
% into double precision. It will also convert plain matrices and
% cell-arrays.
%
% Use as
% x = ft_struct2double(x)
%
% Starting from MATLAB 7.0, you can use single precision data in your
% comp... |
448c9512980dd38c09d7db1273c932aedba6fab6bccfe3faffcbb70d5120547b | MATLAB | 2,877 | 96 | % Demo for colorspace.m - the CIE xyY "tongue"
% Pascal Getreuer 2006
N = 800;
Nx = round(N*0.736);
Ny = round(N*0.84);
% Generate colors in the xyY color space
x = linspace(0,0.736,Nx);
y = linspace(0,0.84,Ny);
[xx,yy] = meshgrid(x,y);
% i = (xx + yy <= 1.01 & (xx - 0.2)/2 - yy <= 0.02);
% Convert from... |
4b9bb9e6e1ef0caa81c50fb3576b8eea5d5a36e6ccf8d99aa26de2fc981163cf | MATLAB | 2,877 | 105 | %% MH Sampling from a mixture of two 1d Gaussians
% using a 1d Gaussian proposal with different sigma.
% Based on code by Christophe Andrieu and Nando de Freitas.
% This file is from pmtk3.googlecode.com
function mcmcGmmDemo()
mixweight = [0.3, 0.7];
%mu = [-50, 50];
mu = [-20, 20];
K = 2;
Sigma = cat(3, 100, 100)... |
83486fb15b28cd17598934261a2aec3a1f3e773c29722c7f02b4dbc4884a56ce | MATLAB | 2,877 | 100 | %% var_to_tsdata_nonstat
%
% Generate random multi-trial non-stationary Gaussian VAR time series
%
% <matlab:open('var_to_tsdata_nonstat.m') code>
%
%% Syntax
%
% X = var_to_tsdata_nonstat(A,SIG,N)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% A ... |
a1a75f3bea75a973992c5f6e43a15deac0850dccc27ec9eada6455546e694014 | MATLAB | 2,877 | 89 | % This is an electrode processor script: it imprints an arbitrary number
% of electrodes.
%
% Copyright SNM GCNP 2012-2024
elec_path = fullfile(dipole_folder,strcat(patno,'_',model_name,'_', ...
dipole_name,'_electrodes.mat'));
%% load BEM-FMM Engine
addpath(fullfile('... |
b22efce4c8a0c28fc6055755de48e559e9b8adfc4015d8306e52eb1e5bdfc5c6 | MATLAB | 2,877 | 86 | function [ ] = saveFiles( ws )
%create a dir for output files and save files in it
mkdir(['./output/', ws.params.output_dir]);
%% save nifty files
template = ws.images.template;
%output images are three dimensional;
template.hdr.dime.dim(1) = 3;
template.hdr.dime.dim(5) = 1;
template.img = zeros(size(ws.images.mask)... |
276abb0c5b29edf76bd78ff8a2fc69dca64ab0eff996ae12cc85eccec806d200 | MATLAB | 2,878 | 108 | function newevents = wlProc_getEvParamsUsingHilbert(data, samprate, ...
hilmag, hilfreq, hilphase, oldevents, gridsteps)
% function newevents = wlProc_getEvParamsUsingHilbert(data, samprate, ...
% hilmag, hilfreq, hilphase, oldevents, gridsteps)
%
% This function estimates oscillatory burst parameters given a list... |
55a127b6b3f14d7ac5a5a63c426c0269d54252af9c8f3e00f15c5bd3f7a9e932 | MATLAB | 2,878 | 112 | function asc = read_eyelink_asc(filename)
% READ_EYELINK_ASC reads the header information, input triggers, messages
% and all data points from an Eyelink *.asc file
%
% Use as
% asc = read_eyelink_asc(filename)
% Copyright (C) 2010-2015, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtrip... |
889f2368de2c8fbe3cfa48440d62d6c91f034dd6b85267318841a987771e8bb2 | MATLAB | 2,878 | 136 | function [inF] = prepare_dcm(A,B,C,D,kernelGroup)
% prepares matrices and indices vectors for DCM (without HRF)
% function [options] = prepare_fullDCM(A,B,C,D,TR,microDT,homogeneous)
% IN:
% - A: binary matrix indicating where the connections are
% - B: cell-array of binary matrices of modulatory effects
% - C: b... |
8ec9be0d334d4a0c3d0c661af80aeadd1bde8a78f8b64710a104578a005260c8 | MATLAB | 2,880 | 98 | %% plot a representative single-trial with ephys + calcium
%%
clear
%load data
load('D:\InVivo\Imaging\2022-08-23_Grids-Imaging\FOV1-225um\imaging\trialDf.mat');
load('D:\InVivo\Imaging\2022-08-23_Grids-Imaging\FOV1-225um\ephys\Grid-LFP-DS.mat');
gridMapping = [15 0 16 31 ...
1 14 30 17 ..... |
227698c5afc1b8a85001c18a4718e396d69af291538ebedde9d6cce3d44418f7 | MATLAB | 2,881 | 80 | function dataout = ft_annotate(cfg, datain)
% FT_ANNOTATE returns the same output data as the user has provided as input, but allows
% to add comments to that data structure. These comments are stored along with the other
% provenance information and can be displayed with FT_ANALYSISPIPELINE. Adding comments
% is espe... |
8ba4c2c5dc639e684375669b1558ee01e7109b3e79056678c9d21c0523928fab | MATLAB | 2,881 | 75 | function checkretraction(M, x, v)
% Check the order of agreement of a retraction with an exponential.
%
% function checkretraction(M)
% function checkretraction(M, x)
% function checkretraction(M, x, v)
%
% checkretraction performs a numerical test to check the order of agreement
% between the retraction and t... |
9c8c2427e43784122cb7ea9469010ab8e182b26978eba1f384cc9c55448026af | MATLAB | 2,881 | 116 | % _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% shows or hides axes based on self.common.show_hide_channels
function showHideAxes(self, bottom_... |
39327a73a6956d7c0e2da1da7ede8b0e3c2d44ee636b79fb5a252732a2f99de7 | MATLAB | 2,882 | 81 | function rawData = readHSD( fn, numWires, dataOffset, Fs, timeLimits, varargin )
% function to read in raw data from an hsd/hsdw file given the filename,
% number of channels, data offset, sampling rate, and timelimits
%
% data = readHSD(filename, numWires, dataOffset, Fs, timeLimits, varargin)
%
% INPUTS:
% fn = nam... |
d173f7d833dc1d82ac0601424ced844fea9ddff6a0e6682ee3166920027c003c | MATLAB | 2,882 | 107 | function [points, pos, indx] = intersect_line(pnt, tri, pnt1, pnt2)
% INTERSECT_LINE finds the intersection points between a mesh and a line.
%
% Use as:
% [points, pos, indx] = intersect_line(pnt, tri, pnt1, pnt2)
%
% Where pnt (Nx3) and tri (Mx3) define the mesh, and pnt1 (1x3) and pnt2
% (1x3) define the line. T... |
5b180cb2b8dd9d3b5ed3a04594da647003fd94034506758ac3e77b7c119deef0 | MATLAB | 2,883 | 57 | %% Apply a new atlas to an image
% Here the atlas HCPex_SUIT_AGBT was applied to the PET scan,
% which means that the scan was masked.
% Each parcel of the new image is now the average voxel intensity
% of the corresponding parcel on the PET scan.
% 08.04.2022 - JVH
%% SPM is needed for Lead DBS, which we use to read ... |
bb5b8a4c90c6fb04ef92bbfed303a62502d8662c3a7a28a0c09ac5670cc5df70 | MATLAB | 2,883 | 123 | function dx = DF(t,x)
global mV12 mk mtau mtauV12 mtauk hV12 hk htau htauV12 htauk
global mpV12 mpk mptau mptauV12 mptauk hpV12 hpk hptau hptauV12 hptauk
global nV12 nk ntau ntauV12 ntauk
global nMV12 nMk nMtau nMtauV12 nMtauk
global aKCa bKCa lambdaKCa tauKCa
global qV12 qk qtau zV12... |
c1edc92f9c2dc4421cf3ce6fcc6cfe64c8dd251afc5210bcdc9efef457289c37 | MATLAB | 2,883 | 96 | %% Empirical Bayes for hierarchical Binomial model
% Based on
% https://docs.pymc.io/notebooks/GLM-hierarchical-binominal-model.html
% which is based on BDA p102
clear data
data.y = [0 0 2 0 1 1 0 2 1 3 0 1 1 1 54 0 0 1 3 0];
data.n = [1083 855 3461 657 1208 1025 527 1668 583 582 917 857 ...
680 917 53637 874 39... |
01c1e71906a538780f106b42f8c829fa93fc884efcc414adf162285de2a2e7e8 | MATLAB | 2,884 | 93 | function [naf,tau,xi]=ambifunb(x,tau,N,trace);
%AMBIFUNB Narrow-band ambiguity function.
% [NAF,TAU,XI]=AMBIFUNB(X,TAU,N,TRACE) computes the narrow-band
% ambiguity function of a signal X, or the cross-ambiguity
% function between two signals.
%
% X : signal if auto-AF, or [X1,X2] if cross-AF (length(X)=Nx).
% T... |
2fdf5d8e96536d3c0cb30e13d5197a57c184f966ab4bc876f4a70e765ae992fe | MATLAB | 2,884 | 61 | %% 功率谱密度 | power spectral density
%% 参数方法-AutoRegression model-burg法
% 使用AR模型中的burg方法[pxx,f] = pwelch(x,window,noverlap,nfft,fs)进行功率谱估计
% 调用调用bandpower(pxx, f, [f_low, f_high], 'psd')提取相对average band power特征
% 由于相同order下的pburg和pyulear得到的pxx估计基本完全相同，所以只使用其中一种
% X: single channel EEG signal (either a row vector or a colu... |
31477aac9717f1f90ff8e77df0b643fe93acbc8e5989e6b1258ee37a56f37a4c | MATLAB | 2,884 | 105 | %models = [1 2 3];
models = 4;
n = [30 50 100];
reps = 100;
tic;
for i = 1:length(models)
for j = 1:length(n)
for k = 1:reps
x = randn(n(j),2);
if models(i) == 1
y1 = log(abs(randn(n(j),2)));
y2 = log(abs(randn(n(j),2)));
elseif models(i) == 2
... |
2933ea1b3767e515fc15628ff6daec847e30809c71e624dae1e9897cafff299d | MATLAB | 2,885 | 84 | function [rm, pm, tm, cellidxm] = createSpatialMatrices(animalprefix, hpidx, loadDir, day, eprun, modelParam)
% [rm, pm, tm, cellidxm] = decode.createSpatialMatrices(animalprefix, day, epoch);
%
%-----create the ratemaps [nPosBin x nHPCells]-----%
% rm: ratemap matrix
% pm: position matrix
% tm: track matrix
% cellidxm... |
3d481993d6adff4c77c9032e853ccd735a746eaa46f84a1683742cd4dc7c5817 | MATLAB | 2,885 | 101 | %% Cramer-Von Mises
% Here, we measure the 'goodness of fit' between an EDF (observed) and
% model(s) pdf to give as a proxy for likelihood of observation of a
% probability distribution as a fundamental object (i.e. we are measuring
% the probability of observing a -distribution- rather than the probability
% of ... |
1f22f25d2dd33cfb88dadb3a37a95b50936bd427d8294d9a33ebdf33c81e663f | MATLAB | 2,886 | 86 | clear all;
close all;
clc
%Loads the dataset
load 'dataset_MPPT_references.mat'
%Extracts the variables Irradiance (Ir), Panel Temperature (Tc), MPP Voltage (V_MPP) and MPP Current (I_MPP)
Ir=data(:,1);
Tc=data(:,2);
V_MPP=data(:,3);
I_MPP=data(:,4);
% The input variables to perform the regressions... |
5473b7e6b53f53a0d2f1009eeaa729295f2f1cdc9df8509afaac3c38349c39be | MATLAB | 2,888 | 86 | function View_Clear_Brain_ROI_Corr_Multi(Anat,IM,M,Pnn,Proi,C,Pmax,params,g)
%
% This function draws ROIs on the brain and connecting rods colored by sign
% of correlation values in C. This can be the fc correlation itself if that
% is passed, or it can be the correlation of brain fc with behavior if that
% matrix is... |
0a377605fe4f177cd4cb168986ca496d26cc0d200d3707420a2d273cb132220b | MATLAB | 2,891 | 99 | function M = euclideancomplexfactory(m, n)
% Returns a manifold struct to optimize over complex matrices.
%
% function M = euclideancomplexfactory(m)
% function M = euclideancomplexfactory(m, n)
% function M = euclideancomplexfactory([n1, n2, ...])
%
% Returns M, a structure describing the vector space of comple... |
45d19e82da1a2fe628c4b77715694c04d34ae6fe1cfe677ec4c6e7d8b94f82fa | MATLAB | 2,895 | 79 | function plotiqr(X, varargin)
[annotate] = process_options(varargin, 'annotate', false);
sigma = std(X);
iqrplot = axes('Position', [0.1, 0.6, 0.8, 0.3]);
distplot = axes('Position', [0.1, 0.1, 0.8, 0.4]);
set(iqrplot,'YTick',[]);
switch class(X)
case 'double'
% Data is simply numeric
% This file is from p... |
7c608278194f5f759fb9191f8cc17d2193d9af78f97e5e1809fb50b1e1ad8c8c | MATLAB | 2,895 | 85 | function [x,t] = tfristft(tfr,t,h,trace);
%TFRISTFT Inverse Short time Fourier transform.
% [X,T]=TFRSTFT(tfr,T,H,TRACE) computes the inverse short-time
% Fourier transform of a discrete-time signal X. This function
% may be used for time-frequency synthesis of signals.
%
% X : signal.
% T : time instant(s) ... |
abb3e6538faf3a8ac74f6aed6b39af93ec178ff43baeace6a01abb509187dc0a | MATLAB | 2,895 | 102 | %% Spread orientation
% Author: Antonio Martinez Sanchez
% I: Segmented (binary) input tomogram
% V: input normal vectors (unoriented)
% p: initial point
% n: initial normal vector (should have 1 norm)
% N: output normal vectors
function [N,H] = spreador( I, V, p, n )
%% Initialization
[Nx,Ny,Nz] = size( I );
N = zero... |
4de4747ba0df85209be980aae06ce6c1fc393308741823834db6f5f80350c375 | MATLAB | 2,897 | 118 | clear
clc
res=2;
dur=66;
all_trials.glm_dd=nan(dur/res,3495);
all_trials.glm_df=nan(dur/res,3495);
all_trials.glm_fd=nan(dur/res,3495);
all_trials.glm_ff=nan(dur/res,3495);
all_trials.glm_time=nan(length(-1:res/100:2),3495);
all_trials.glm_context=nan(length(-1:res/100:2),3495);
all_trials.glm_choice=nan(length(-1:... |
94dc59b03152b498d37423cec43637141dc44893ec09c9f59722c03211d53ac1 | MATLAB | 2,897 | 59 | function [curr_dat_sz, curr_lab_sz] = store2hdf5(filename, data, labels, create, startloc, chunksz)
% *data* is W*H*C*N matrix of images should be normalized (e.g. to lie between 0 and 1) beforehand
% *label* is D*N matrix of labels (D labels per sample)
% *create* [0/1] specifies whether to create file newly ... |
1588a2064f7bc63875d52c4e2f04f25063d2ec2bfdd098889e5ae8fed94bdf6d | MATLAB | 2,898 | 96 | function info =mha_read_header(filename)
% Function for reading the header of a Insight Meta-Image (.mha,.mhd) file
%
% info = mha_read_header(filename);
%
% examples:
% 1, info=mha_read_header()
% 2, info=mha_read_header('volume.mha');
if(exist('filename','var')==0)
[filename, pathname] = uigetfile('*.mha', '... |
3002f14ec74e9a3ae2b1fb7c64c0e408d17b5daa6c4322f9919308f7de44291b | MATLAB | 2,898 | 82 | function tsq = read_tdt_tsq(filename, begblock, endblock)
% READ_TDT_TSQ reads the headers from a Tucker_Davis_technologies TSQ file
%
% tsq file is a heap of event headers, which is ?40 byte each,
% ordered strictly by time
%
% Use as
% tsq = read_tdt_tsq(filename, begblock, endblock)
% Copyright (C) 2010, Robert ... |
556e9d3b4e0b9097c4ce82bc4f91350bda7af7e74e0086721d712a391ee93208 | MATLAB | 2,899 | 74 | function SOImask = SOImask3D(mesh, onionOpts, maskSize)
% this function was used to check that 2D methods correctly sum
% intensity
%
% SOImask = SOImask3D(mesh, onionOpts, maskSize)
%
% SOImask: binary mask
%
% mesh: structure with field f, v, vn for faces, vertices,
% ... |
30c402d77b05145c53f82e538e5c9248cfb8aee545cae2fe1a84c91c18ca8788 | MATLAB | 2,900 | 99 | function outdata = luisFilter(data, TR, cutoff, verbose)
% This is a low pass FIR filter using the Parks Mclellan design algorithm
% The phase introduced by the filter is linear and is un-done by
% filtering the data again, backwards
% if you want to see what it does to the data, use verbose=1
% if just want to filte... |
613be4f5ffc04e8e8c3c81c58bb7f18f831e44ecfdfdc030cc010c957dde761e | MATLAB | 2,900 | 81 | function dataout = ft_annotate(cfg, datain)
% FT_ANNOTATE returns the same output data as the user has provided as input, but allows
% to add comments to that data structure. These comments are stored along with the other
% provenance information and can be displayed with FT_ANALYSISPIPELINE. Adding comments
% is espe... |
15a133a9f72e1d5fd7ce5f84f00e06efd4e4d023e2e7fc9e0eba6d7024328f94 | MATLAB | 2,902 | 85 | function M = obj_read(filename)
% Read Wavefront OBJ-formatted data from disk
% FORMAT M = obj_read(filename)
%
% filename - OBJ-formatted file name
% M - data structure
%__________________________________________________________________________
%
% Wavefront OBJ Format Specification:
% https://en.wikipedia.org... |
de9ce3b4374bf7d5f61df86b8df83ae7ec94999adcabeb23bf352ebf7e9e24d1 | MATLAB | 2,902 | 83 | function ft_select_voxel(handle, eventdata, varargin)
% FT_SELECT_VOXEL is a helper function that can be used as callback function
% in a figure. It allows the user to select a voxel from a (resliced) 3-D volume.
%
% Use as
% voxel = ft_select_voxel(h, eventdata, ...)
% The first two arguments are automatically pass... |
58626120ebdc1abae4e42274994da637c94803f7448594aa655b23b72af3eaf7 | MATLAB | 2,903 | 94 | function [Va] = volumewrite_spm(filename, data, transform, spmversion)
% VOLUMEWRITE_SPM writes anatomical or functional MRI volume data to analyze or nifti format
% using the SPM toolbox.
%
% Use as
% [Va] = volumewrite_spm(filename, data, transform)
% Copyright (C) 2006, Robert Oostenveld
% Copyright (C) 2011, Ja... |
ded5341b6294b1f1577a99da7c12d6f17715a9ba89347104dbb9544d2ccb50af | MATLAB | 2,903 | 86 | % this small class will count the number of images in a camera ttl trace
% it will also get the image on which a puff starts and ends
%input a camera trace cut off just after the last image for max efficiency
function [num_imgs, steps] = count_images_get_vSteps (camera, voltage, numswps)
dps = size (camera, 1);
sdv... |
350ec77445d3dc385c8ea6a35bc65e1890f92180c74ff4d7c51906e76bddb4f5 | MATLAB | 2,904 | 80 | function [ titleStr, settings, results ] = graphDomainToLabel( dataview, settings )
% Creates an indicator variable that is 1 only for points inside the
% domain of the given graph.
%
% The current pointfilter has no effect.
%
% If no variable name is provided, domain will be named domain_... |
140f4ef49f16302627dfb71646808436645f4e06d16b42db7e5bef87884b1238 | MATLAB | 2,905 | 106 | function [cs,csn,nave]=data2bs_event(data,segleng,segshift,epleng,freqpairs,para);
% calculates bispectral-tensors from data for event-related measurement
%
% usage: [cs,nave]=data2bs_event(data,segleng,segshift,epleng,freqpairs,para);
%
% input:
% data: ndat times nchan matrix each colum is the time-series in one
% ... |
2abbdf9fabfd11e86046b2395e8d86dd216c306c300a0c638ef79b496caa9e3e | MATLAB | 2,905 | 120 | function h = scattercloud(x,y,n,l,clm,cmap)
%SCATTERCLOUD display density of scatter data
% SCATTERCLOUD(X,Y) creates a scatterplot of X and Y, displayed over a
% surface representing the smoothed density of the points. The density is
% determined with a 2D histogram, using 25 equally spaced bins in both
% dir... |
5c05f57f8c3eb23ba25afd9bff4a5bf868ff5fac4e3300c06050c6467c9d59a5 | MATLAB | 2,905 | 82 | function parameters=list_of_parameters
%for place field calculations
% parameters.speed_threshold=.5; %should be 2 cm/s
% parameters.place_field_smoothing=21;
% parameters.min_smooth_peak=1;
% parameters.min_raw_peak=1;
% parameters.max_mean_rate=1;
parameters.MUA_filter_length= 41; % in samples (ms)
parameters.MUA... |
6731c227ca0b1857bc79337476ce829fd0b701d6aef0091e9965565ffcd57519 | MATLAB | 2,906 | 81 | %% addpaths and load variables
addpath C:\Code\wjn_toolbox-master
addpath C:\Code\spm12
addpath(genpath('C:\Code\leaddbs'))
% run ECoG_Atlas_data file
% run create_master_table file
% to load all vars
value = '_maximum_peak_amplitude';
% strings of all the names of the frequency bands
freqbands = strrep(info.range_v... |
7edf034699bf6041b0a4251629aea1087d6618828c5481574443db544ff84637 | MATLAB | 2,906 | 71 | function varargout = pvalue_stddev_of_uniform_angle_less_than_S(S,N,n_sample,n_bins,nbins_filter,use_rho_filtered_for_p,return_distribution)
% this function gives a numerical estimate of the probability p that the standard deviation s of N uniformly
% distributed variables (with zero mean) is less than or equal to S
% ... |
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