sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
dba8afd280d3f3cff2d776283f98044307c83862bae2581e9a109cb69109e22c | MATLAB | 5,859 | 176 | function [pls_repro,splitflag]=split_half_PLS(x,y,n_con,numsplits,lv,CI,dist_flag)
% [pls_repro,cca_repro,splitflag]=split_half_PLS(x,y,n_con,numsplits,lv,CI,dist_flag)
%
% computes the cosines between singular vectors U and V from numsplit
% random splits of X and Y data
% n_con= number of conditions
% nsplits: number... |
0ce758e5cf18be88d7ff5fc2b480a55cecf08f1b09bc481908f73d5a5ac662d0 | MATLAB | 5,864 | 163 | function imData=bigread2(path_to_file,sframe,num2read)
%reads tiff files in Matlab bigger than 4GB, allows reading from sframe to sframe+num2read-1 frames of the tiff - in other words, you can read page 200-300 without rading in from page 1.
%based on a partial solution posted on Matlab Central (http://www.mathworks.... |
11bc786a41992c83eb3491d1344543f55b4df93e4e3c2f3119b9e391ab7aacda | MATLAB | 5,866 | 194 | %% plotSDO
%
% Command script for the collection of plotter methods used to visualize
% the SDO and SDO effects.
%
% All called plotSDO subscripts may be called independently.
%
% PREREQUISITES:
% computeSDO()
% INPUT PARAMETERS
% sdoStruct: 'sdo' structure
% XT_SDO_CH_NO: Row index for the sdo structure, point... |
459b75affa10936bc017c2fc4589b0fae994bfee1aae53ef0a67738b9983ed18 | MATLAB | 5,866 | 191 |
%% Run this script to initialize PMTK3
% This file is from pmtk3.googlecode.com
set(0,'DefaultAxesFontSize',15,'DefaultTextFontSize',15);
format compact
more off; % especially important in Octave - init may fail without it
verbose = true;
if verbose
disp('initializing pmtk3');
end
isMatlab = ~isempty(ver('... |
72038cb8312a34f878636b7187ba3db0a9abaa1d78a4ee7d6bd8101a320c1919 | MATLAB | 5,869 | 149 | function ArgStruct=parseArgs(args,ArgStruct,varargin)
% Helper function for parsing varargin.
%
%
% ArgStruct=parseArgs(varargin,ArgStruct[,FlagtypeParams[,Aliases]])
%
% * ArgStruct is the structure full of named arguments with default values.
% * Flagtype params is params that don't require a value. (the valu... |
1e759d1fd9dd68ca8c263acea7cb0bd3ac246f05759e831671eb40719aa256a2 | MATLAB | 5,870 | 178 | function [fracwrong_cv,fracwrong,hsPr_cv,probs_cv,ferns,hsPr,probs] = fernsClfCrossValidation( data, hs, varargin )
% Compute cross-validation error of random ferns classifier
%
% See "Fast Keypoint Recognition in Ten Lines of Code" by Mustafa Ozuysal,
% Pascal Fua and Vincent Lepetit, CVPR07.
%
% Dimensions:
% ... |
b530cc41802c4e31249f1067842a4a0a465b7f022338c3074e8d9b846b6ea9a0 | MATLAB | 5,872 | 214 | function S = dtvoting( E, s, sg, m, d, v )
% STVOTING Applies dense 2D tensor voting for ridge detection by steerable filters over
% every slice of a tomogram at X, Y and Z axes.
% INPUT:
% E - Input tomogram (foreground dark)
% s - Scale factor
% sg - variance for gaussian prefilteri... |
1ace732dc7ca68698dfb699632d8099c35ba264cfc7e6811f699ed9aa9848fa7 | MATLAB | 5,873 | 193 | function [dip_score,cutpoint,info]=isocut5(samples,sample_weights,opts)
if nargin<1, test_isocut5; return; end;
if nargin<2, sample_weights=[]; end;
if (nargin<3), opts=struct; end;
if (~isfield(opts,'already_sorted')) opts.already_sorted=0; end;
if (~isfield(opts,'return_info')) opts.return_info=[]; end;
info=struct... |
ec4e6a51b087159d7075f393324ee211b7413342a4671105eb602ded1a05ed0b | MATLAB | 5,873 | 227 | % meg_plotDecodeGroup.m
%% setup
expt = 'TANoise';
user = 'mcq';
paramType = 'Analysis';
loadAnalysisFiles = 1;
% directories
exptDir = meg_pathToTAMEG(expt, user);
% figDir = sprintf('%s/figures/%s', dataDir, analStr);
% sessions
sessionNames = meg_sessions(expt);
sessionNames = sessionNames([1:8 11:20])
% params... |
18357853142c313c130b00915e462b5fe8e1a4aedfdbb0eff79216a303848552 | MATLAB | 5,874 | 97 | for RecordingNum=1:length(Recording)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
528190bfb7d6b6d495475749acf446ee60fdcd980b504687041bd11158f29fe3 | MATLAB | 5,874 | 153 | function ArgStruct=parseArgs(args,ArgStruct,varargin)
% Helper function for parsing varargin.
%
%
% ArgStruct=parseArgs(varargin,ArgStruct[,FlagtypeParams[,Aliases]])
%
% * ArgStruct is the structure full of named arguments with default values.
% * Flagtype params is params that don't require a value. (the valu... |
f72eb6c324741a3f1785e63cad899e609c61c0e9a020a740863325d48ed4637b | MATLAB | 5,875 | 214 | function S = dtvoting( E, s, sg, m, d, v )
% STVOTING Applies dense 2D tensor voting for ridge detection by steerable filters over
% every slice of a tomogram at X, Y and Z axes.
% INPUT:
% E - Input tomogram (foreground dark)
% s - Scale factor
% sg - variance for gaussian prefilteri... |
22db03e3ae00eb27a1bb36166cabee90ca4b19176f4d2f601e79294375dd323d | MATLAB | 5,876 | 125 | function [zmatGroupMean,zmatGroupStd,grouplabel,bins] = group_fc_data(corrmat,subjectdata,groupby,nshuffle,nboot,nsubsample,indices,EYOedges)
% groupby options {'EYO','MCxSex','EYOxSex'}
% adapted from util_pipeline_DIAN where you can see the group counts and
% average age etc.
% updated 220302: the groups if seprated ... |
571d62dd7f19bbd73d2222950816380b975cf6d431354a671fbf7418c90fe9fd | MATLAB | 5,876 | 222 | % Shameless Port of Krishnamoorthy's "Two Poisson Means" fortran code
%
% Port by Andrew Leifer
% leifer@princeton.edu
% 24 January 2018
%
% Fortran program: computes the p-value for testing the difference between
% two Poisson means. [Source: Krishnamoorthy, K and Thomson, J. (2004)
% A more powerful test for comp... |
83d2ea3a740214895908fcb9ab5c61d6076fc0d3a5e362d9fe6900d03389c630 | MATLAB | 5,876 | 168 | function [obj] = ft_determine_units(obj)
% FT_DETERMINE_UNITS tries to determine the units of a geometrical object by
% looking at its size and by relating this to the approximate size of the
% human head according to the following table:
% from 0.050 to 0.500 -> meter
% from 0.500 to 5.000 -> decimeter
% ... |
3636d984db5fedc1ef48a97b7075bee320fdeac09a0bb5f401f403b6f0d56354 | MATLAB | 5,877 | 171 | function Matrix_Org3(Min,key,buffer,lims,Cmap,fig,CmapData)
% This function organizes a sorted matrix using lines to add visual
% separation between modules and block colors along the left and bottom.
% This 3rd version of Matrix_Org is designed to support rectangular input
% matrices. It will also work with squa... |
6b0a78e1b74fdde0c42184fc3e78c1f2d8a3da3057d3727e90d1fe8375f8facb | MATLAB | 5,877 | 171 | function Matrix_Org3(Min,key,buffer,lims,Cmap,fig,CmapData)
% This function organizes a sorted matrix using lines to add visual
% separation between modules and block colors along the left and bottom.
% This 3rd version of Matrix_Org is designed to support rectangular input
% matrices. It will also work with squa... |
8e921807a92af7e055b99c9881c70131c0af0ce69cf4828b6f3065227dc8eca8 | MATLAB | 5,878 | 140 | function convertIMStoEXP(yamlfile)
%CONVERTIMSTOEXP Convert the IMS files from a multi-view acquisition using
%the YAML file for an experiment.
%Use a YAML file to load the parameters for a large experiment
yamlspecs = ReadYaml(yamlfile);
%The YAML files might have extra quotes so remove them
EXPERIMENT_NAME = strrep... |
e4a95f33599d65ec8efbbc6e60970ac49c0c695909a5cae66a761bc63826d130 | MATLAB | 5,878 | 141 | function run_analysis(res, analysis, item, resdir)
% RUN_ANALYSIS runs an analysis step on an item and saves the results to
% the output `resdir`
%
% :param res: the Mapper output result as struct for the item
% :type res: 2D matrix
%
% :param analysis: the config definition of a specific analysis. Minimally, it
% ... |
03e7507cd4a3592879c4f09fc396501a36df1baf296d727aff81628be2165d24 | MATLAB | 5,880 | 128 | %%% Fig 5 - Multi-channel
addpath("HelperFunctions")
load(fullfile(DataPath, 'MultiElecData.mat'))
load(fullfile(DataPath, 'MultiChannelData_Processed.mat'))
load(fullfile(DataPath, 'Localization'))
SetFont('Arial', 9)
[palmar_mask, palmar_template, dorsal_mask, dorsal_template] = GetHandMasks();
%% Plot
if exist('fig... |
85112afae9e63a4554afe112d3bec9a40836f40d1d4da78f17c2383051ee49b4 | MATLAB | 5,880 | 212 | function [ h ] = circles(x,y,r,varargin)
% h = circles(x,y,r,varargin) plots circles of radius r at points x and y.
% x, y, and r can be scalars or N-D arrays.
%
% Chad Greene, March 2014. Updated August 2014.
% University of Texas Institute for Geophysics.
%
%% Syntax
% circles(x,y,r)
% circles(...,'points',... |
8cde2608314de7be60f97e40885ff3ccb78d3c73bc6e2817280441426a495b30 | MATLAB | 5,881 | 165 | function FWHM=w_Smoothest_Surf(SurfFiles, ResidualFiles, MskFiles)
% Estimate global FWHM for surface files
% %------------------------------------------------------------------------
% Usage: FWHM=w_Smoothest_Surf(SurfFiles, ResidualFiles, MskFiles)
%
% Input:
% SurfFiles - Surface file list, nx1 cell. e.g., {'f... |
170bef0e222adfc300f653c528f7591bf3815537de6757ed99cab36064be8135 | MATLAB | 5,884 | 236 | function [data,times] = fiff_read_raw_segment(raw,from,to,sel)
%
% [data,times] = fiff_read_raw_segment(raw,from,to,sel)
%
% Read a specific raw data segment
%
% raw - structure returned by fiff_setup_read_raw
% from - first sample to include. If omitted, defaults to the
% first sample in data
% to - ... |
22b759f491f106101c8a69ebd440573367cd7e1a286f447222beb9d1692cac94 | MATLAB | 5,886 | 219 | % run_mediation_all2all
% by Ariel Zylberberg
load(fullfile(saveLoc, 'sig_allSessions'),...
'sigSL')
S = sigSL;
% Analysis parameters
max_coh = 0.1;
minRT = 0.67;
maxRT = 2;
start_t = 0;
end_t = 0.6;
session = S.session;
times = S.t;
dt = times(2) - times(1);
choice = S.choice;
RT = S.rt;
coh = S.sig_coh;
S = si... |
5675d314f496f2540f7a935e9bc9384474ea6763f34bbb841ade3f1fe01ded0b | MATLAB | 5,887 | 149 | function [event] = read_ricoh_event(filename, varargin)
% READ_RICOH_EVENT reads event information from continuous,
% epoched or averaged MEG data that has been generated by the Ricoh
% MEG system and software and allows those events to be used in
% combination with FieldTrip.
%
% Use as
% [event] = read_ricoh_event... |
921b39b21c4f275768f283257d5218808d5fb022668faab3b5ec13027239e0b0 | MATLAB | 5,888 | 149 | function [event] = read_ricoh_event(filename, varargin)
% READ_RICOH_EVENT reads event information from continuous,
% epoched or averaged MEG data that has been generated by the Ricoh
% MEG system and software and allows those events to be used in
% combination with FieldTrip.
%
% Use as
% [event] = read_ricoh_event... |
f0f1b71e7aa5493e5c336d77171b24517f33bc625f40948c896e7a90a7d2b9ba | MATLAB | 5,889 | 218 | function [w, sigma, logpostTrace]=linregFitSparseEmFrancois(X, y, param, varargin)
% Use EM to fit linear or probit regression with sparsity promoting prior
% See the paper "Sparse Bayesian nonparametric regression"
% by F. Caron and A. Doucet, ICML2008.
%
%PMTKauthor Francois Caron
%
% -- INPUTS --
%
% X: N*D design ... |
6866ce4bdc968c4a5907e19ccdaafee2ee24b78f94a23364f06a705708babc5a | MATLAB | 5,890 | 189 | function [Mean_MMT_Elbow] = Muscle_Moment_G4(x)
% MATLAB code provided by Seyed Mohammad Ali Rahmati
% Affiliation: Biomechanics and Motor Control Lab, Department of Biological Sciences, Georgia Institute of Technology, Atlanta, GA.
% This script computes the maximum muscle moment averaged over the cycle as a function... |
9d2a5bc47da786b1d2b280b0e7ffcade0733343d7c86c7c6fa10d44aa96470ea | MATLAB | 5,891 | 177 | %% pxTools.getPxtFromXt()
% Core method for converting an time series data signal (xt) and a
% set of spike times (st) into perispike state distributions (pxt);
% pre-spike (px_x0) and post-spike (px_x1).
%
% Different intervals for prespike/postspike distributions, delays between
% intervals, or delays between spikes... |
3743a302368936a4ad403a2557df0c5c22060f1e21f2cab28192cd36600ac559 | MATLAB | 5,892 | 116 | function [U] = l3ddir(srcinfo,targ,pgt)
% L3DDIR Direct (slow) 3D Laplace kernel sums (reference for LFMM3D).
%
% U = l3ddir(srcinfo,targ,pgt)
%
% Laplace direct evaluation in R^3: evaluate all pairwise particle
% interactions with targets. This is the slow O(N^2) direct code used
% as a reference for testing the... |
90404da6c4a08a6c99ff62c53be65d84c2c3d69a60fade9e6cca02869065d9b5 | MATLAB | 5,892 | 169 | function data = analyze_synapses_5xFAD(params,roi,synchannels)
%calculates CaMKii volume, signal, and # of objects outside of morphology
%and ABeta channels
folder = params.parentfolder;
%Extract parameters
xystep = params.xystep;
zstep = params.zstep;
nchannels = length(synchannels);
for im1 = 1:nchannels %nested l... |
82d9ce3c059ee4af838730d5dc727a6fe1228643b31741a26daf3b0e80eaea28 | MATLAB | 5,893 | 123 | %% Description
% In this example, we demonstrate that model outputs can be combined with
% each other using the combineModels() function. This can be useful, for
% example, when you want to have multiple input light sources, such as
% beams. It can also be useful for heavy simulations that require a lot of
% statistics... |
ccac2bc731b7d9b31667d94e744d98a63117984aab2a66693484f3ab90dd31c5 | MATLAB | 5,895 | 109 | % Aggregate Channel Features Detector Overview.
%
% Piotr's Computer Vision Matlab Toolbox Version 3.40
% Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
% Licensed under the Simplified BSD License [see external/bsd.txt]
%
% %%%%%%%%%%%%%%%%%%%%%%%%%%%% 1. Introduction. %%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% The det... |
84eb24260e00cffafb41bddeb7c84792a461aff480eebfda75f7459d0bddd3ee | MATLAB | 5,901 | 171 | % plot_FigS7
%% Plot distribution of weights
usePerc = 1 : 2;
colms = 3;
distr_detect = 2; % Which weights to use for predicted proportion of Tin: 1 = raw weights; 2 = perceptile within session
dimms = [63 20 61 7];
clear ws
figure('Position', [200 10 800 600]); hold on
histbins = [-0.5 : 0.0... |
cf2beb65603fa890ef884cf782089186b6de8ba93a7043bb0ffebf03f10de433 | MATLAB | 5,901 | 250 | %
% Name: demo_ICA.m
%
% Description: Demonstrates the use of ICA for source separation
%
% Author: Brian Moore
% brimoor@umich.edu
%
% Date: November 12, 2016
%
%% ICA demo (signals)
rng(42);
% Knobs
n = 1000; % # sample... |
93896a5d8044e6c973bbd549ad0cae5fd672efff4e5b120944d5e3269f1026dc | MATLAB | 5,902 | 184 | function cortex = read_nimh_cortex(filename, varargin)
% READ_NIMH_CORTEX
%
% Use as
% cortex = read_nimh_cortex(filename, ...)
%
% Optional input arguments should come in key-value pairs and may
% include
% begtrial = number (default = 1)
% endtrial = number (default = inf)
% epp = read the EP... |
e034f2a71225dc46c7e3114d97d6fa0a2e5fd35ee65fdfcf58dc5cb229481216 | MATLAB | 5,903 | 186 | function [tfr,rtfr,hat] = tfrrspwv(x,t,N,g,h,trace);
%TFRSPWV Reassigned smoothed pseudo Wigner-Ville distribution.
% [TFR,RTFR,HAT] = TFRRSPWV(X,T,N,G,H,TRACE)
% computes the smoothed pseudo Wigner-Ville distribution and its
% reassigned version.
%
% X : analysed signal.
% T : the time instant(s) (defau... |
553d9093cb3981bb5aca42c2c654ec6fbb09d4d0ac8eff55ee3ca49d4311f020 | MATLAB | 5,904 | 152 | % Seven-point stencil on the unit cube, constant-coefficient Poisson equation,
% Dirichlet boundary conditions.
%
% This is the same as FD_CUBE1 but using HIFDE3X.
%
% Inputs (defaults are used if not provided or set empty):
%
% - N: number of discretization points in each dimension (default: N = 32)
% - OCC: tree ... |
5701463630b7d2d5b2f5c4689b68bf1d58cc5a3b956b7151e089f53fe5c1128f | MATLAB | 5,905 | 137 | brainstorm
%%
clear
patient_id = 'P2';
%% %%%%%%%%%%%%%%% load anatomy information %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
load([patient_id '/anatomy/cortex_fs_in_curryspace.mat']);
load([patient_id '/anatomy/projected_resection_to_fs_cortex.mat']);
load([patient_id '/rnn_test.mat'])
load(['../../anatomy/dis_matrix_fs_20k.mat'... |
db90bf338e31474a13dae37f34892c1c058f983b42844efac6d76b273e956129 | MATLAB | 5,906 | 99 | %% Description
% This example illustrates refraction and reflection using the smoothed and
% interpolated Sobel filter method published by A. Tran and S. Jacques in
% J. of Biomedical Optics, 25(2), 025001 (2020)
% https://doi.org/10.1117/1.JBO.25.2.025001).
%
% This example reproduces figure 3 of that paper. A hemisph... |
7df0c46bad41a3b411ecef77f7f85397791583bcfc4370d10ec02af3cec3d158 | MATLAB | 5,910 | 179 | function [I_SSD,I_NCC,Idata]=template_matching(T,I,IdataIn)
% TEMPLATE_MATCHING is a cpu efficient function which calculates matching
% score images between template and an (color) 2D or 3D image.
% It calculates:
% - The sum of squared difference (SSD Block Matching), robust template
% matching.
% - The norma... |
769bc6a140e4f4b13fc7bfcefc494b6591e9f10d2874bf5135c8aa0f4ffbf626 | MATLAB | 5,911 | 184 | function cortex = read_nimh_cortex(filename, varargin)
% READ_NIMH_CORTEX
%
% Use as
% cortex = read_nimh_cortex(filename, ...)
%
% Optional input arguments should come in key-value pairs and may
% include
% begtrial = number (default = 1)
% endtrial = number (default = inf)
% epp = read the EP... |
43ece3ac2c714a75a677038528cab7630d24f475ea95b1aa023965373b49f001 | MATLAB | 5,913 | 153 | function SinglechanBandAnalysis(config,varargin)
%%
if strcmp(mfilename,'') || nargin==0
opts=Analyze.Libet.Config_BasicLinearModel;
else
opts=feval(config,varargin{:});
end
if ~exist(opts.ResultsDir,'dir'); mkdir(opts.ResultsDir); end
ConfigureSubject(opts.Subject);
for dateIDX=1:length(opts.D... |
2dd7b2fead2f00d6571a99bbd9c4c5c47c74d0f5838496d2ac9dea706f35d6f6 | MATLAB | 5,914 | 148 | function [ferns,ysPr] = fernsRegTrain( data, ys, varargin )
% Train boosted fern regressor.
%
% Boosted regression using random ferns as the weak regressor. See "Greedy
% function approximation: A gradient boosting machine", Friedman, Annals of
% Statistics 2001, for more details on boosted regression.
%
% A few notes ... |
6b79dab7f7f2dd759682176a9fe672aef19a26536616b195c5f5d55920653ece | MATLAB | 5,914 | 187 | %% Heatmaps of cosine similarity & within-trial correlation of diffusion across signals
% -------------------------------------------------------
% Calculate within-trial correlation
fw = 80; x = 0:1:fw; y = gaussmf(x,[fw/4 fw/2]);
filtW = y / sum(y);
fw = 50; x = 0:1:fw; y = gaussmf(x,[fw/4 fw/2]);
filtW50 = y... |
75de4c03bba965e24be80c5155e4884e120cf404b2553a5e02572c5b0d0dc25b | MATLAB | 5,914 | 160 | function colors = distinguishable_colors_0(n_colors,bg,func)
% DISTINGUISHABLE_COLORS: pick colors that are maximally perceptually distinct
%
% When plotting a set of lines, you may want to distinguish them by color.
% By default, Matlab chooses a small set of colors and cycles among them,
% and so if you have more tha... |
8a8acabf2e5f31fa66d017909914a3610ef60f6c5b332d02729d5961741f58f4 | MATLAB | 5,917 | 166 | function [M, I] = permn(V, N, K)
% PERMN - permutations with repetition
% Using two input variables V and N, M = PERMN(V,N) returns all
% permutations of N elements taken from the vector V, with repetitions.
% V can be any type of array (numbers, cells etc.) and M will be of the
% same type as V. If V is empty... |
f9604ba1ab4d201f9e3af594a4713e07872587b72a60e73118fbc91a4fa62e1e | MATLAB | 5,917 | 160 |
%% parameters setting
clear;
hemi={'lh';'rh'};
hm=1;%editme 1-L 2-R
surf_tpe='inflated'; %edit me
% surf_tpe='sphere';
dataDir = '/home/xianchige/YZY/20220523data/sub01/session01/GLManalysis';
%% load data
ssname='sub01';
interptype = 'linear'; % what type of interpolation?
surfsuffix='orig';
[numlh, numrh] = cvnrea... |
6ca2258ff640c779d14ce8500e6cead31f5b8d1f1729a7c1ae281248a2e2e2e9 | MATLAB | 5,919 | 150 | function [X, HMM, features, Kernel, err] = simulate_transprobs_nostates(datadir, hmmdir, HMM_name, n_subj, betwgroup_diff)
% [X, HMM, features, Kernel, err] = simulate_transprobs_nostates(HMM_name, n_subj, betwgroup_diff)
%
% simulate timecourses for two groups where the group difference lies in
% the transition pr... |
99fa4764cf3232c198555d0880d8313169015f683a8dfadb68811b8e65f04b6a | MATLAB | 5,919 | 188 | % add missing data to lbld
%% paths
addpath /groups/branson/home/bransonk/behavioranalysis/code/Jdetect/Jdetect/misc;
addpath /groups/branson/home/bransonk/behavioranalysis/code/Jdetect/Jdetect/filehandling;
datatype = 'roian';
switch datatype,
case 'stephen'
nnrootdatadir = '/groups/branson/bransonlab/mayank... |
f15c8557c72d532c2bb64a3c82d4fac1db67601279866baffe10d63c32c4f04e | MATLAB | 5,920 | 165 | % create_RandomSubset_mice_all.m
% Sarah West
% 2/22/22
% Takes mice_all and gets a list of a subset of stacks distributed across
% all days per mouse, randomly chosen within days. Is so you don't have to
% use as much resources for SVD compression on MSI.
% Parameters for directories
clear all;
experiment_name='Ran... |
c9bc0c0e5a393d9b741c94dec15700e46280e999b33bbf486381e9d215e4cdc8 | MATLAB | 5,925 | 155 | classdef StoreDB < handle_light
% The StoreDB class is a handle class to manage caching in Manopt.
%
% To create an object, call: storedb = StoreDB();
% Alternatively, call: storedb = StoreDB(storedepth); to instruct
% the database to keep at most storedepth store's in its history.
% (Note that clean up only happ... |
5674c3d9683891bc6fd2b696e3b22f0a9dcae284499156fc77085c0e3df00c99 | MATLAB | 5,926 | 139 | function [select] = select_channel_list(label, select, titlestr)
% SELECT_CHANNEL_LIST presents a dialog for selecting multiple elements
% from a cell-array with strings, such as the labels of EEG channels.
% The dialog presents two columns with an add and remove mechanism.
%
% select = select_channel_list(label, ini... |
91a5a18f60a21fb0208b68ec1f5e30773a4fdcf8f69737e94d85c03c163d94dc | MATLAB | 5,926 | 139 | function [select] = select_channel_list(label, select, titlestr)
% SELECT_CHANNEL_LIST presents a dialog for selecting multiple elements
% from a cell array with strings, such as the labels of EEG channels.
% The dialog presents two columns with an add and remove mechanism.
%
% select = select_channel_list(label, ini... |
dc01aaebc2d3d6d241b1f7880d15e694770a3198e8844bcc608587335357af1c | MATLAB | 5,926 | 179 | lambdas = 1e-9*[500 510 520 530 540];
samp = 400e-9; % sampling distance (m)
ds = 2.5e-3*[1 101/3]; % propagation distances (m)
pds = 7.4250e-5; % spacing in weights (m)
sp = round(pds/samp); % spacing in samp of weights
sz = ds(2)/ds(1)*sp; %
n_adj = 4; % weights around center to consider
adj_sz = sp*(2*n_adj+1... |
692a44051cd18d01cb37fb0f183708a0d721ffa3d0886f699ce8a56d5b477ad2 | MATLAB | 5,927 | 247 | %%% 2024-10-01: Example T2 map script, working on phantom data
%%% Phantom data acquired using 3D single SE and 2D TSE, reconstructed
%%% using exponential fitting and dictionary
%%% Author: Shaihan Malik, King's College London
saveresults = 0; % if 1 this runs optimization, if 0 it loads stored results
addpath... |
8e2de518e37be7c651ca6f2ec5b6bc85e9b7afc53ed6c25ea206ff5d865c2e54 | MATLAB | 5,928 | 154 | % Second-kind integral equation on the unit square, Helmholtz single-layer.
%
% This example solves the Lippmann-Schwinger equation for Helmholtz scattering
% on the unit square, which can be ill-conditioned even though it is formally
% second-kind. The problem is discretized as in IE_SQUARE1. We assume that the
% pote... |
a0fcc87a618cddf244881d253a34825b7a1013072e12141fc69ed67ce86cd139 | MATLAB | 5,929 | 116 | %% =============== Demo ======================== %%
%% ============== Licensce ========================================== %%
% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
% "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
% LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABI... |
9673a9dff25218f6dd3236c4a8dd845b4d41d53a4291e4f868da3812aa34e56b | MATLAB | 5,931 | 153 | function [Data, VoxelSize, FileList, Header] = yw_ReadAll(InputName)
%% yw_ReadAll - Read various types of data files
%
% This function reads data from multiple file formats including .nii, .nii.gz,
% .gii, .mat, .xlsx, .csv, and .txt. It can handle single files or multiple
% files in a directory.
%
% Inputs:
% Inp... |
4b4237f50aeca5056539da11bf1767bc4fcdba4023dcc98bd9f1c8e7769575bb | MATLAB | 5,932 | 151 | %% Call data and functions
addpath C:\code\spm12
% addpath D:\ECoG_Atlas\functions
addpath C:\Users\ICN_guest\Charité - Universitätsmedizin Berlin\Interventional Cognitive Neuromodulation - PROJECT ECoG Atlas Connectomics\functions;
addpath C:\code\wjn_toolbox
spm('defaults','eeg')
%% Load info data
tf_data_path = 'C... |
99128b3debd3368f151427684172b32876c5e564340640817157d12623e4ad4f | MATLAB | 5,933 | 117 | function [] = ground_truth_replay_sequence_analysis_addon(folders,BAYSESIAN_NORMALIZED_ACROSS_TRACKS)
for nfolder = 1:length(folders)
tic
cd(workingDir)
cd(folders{nfolder})
load extracted_place_fields_BAYESIAN
% % % RUN SHUFFLES
% % disp('running shuffles')
% num_shuffles=1000;... |
35e3a888a7219edef87d6244e56840dcc2fc9f326a9b6119add4db33fddc4825 | MATLAB | 5,934 | 131 | function [targetedVariance,targetedRs,randomRs] = parameterSweepStatistics(targetedSubjRinROIpair,randomSubjRinROIpair,varargin)
%Calculates statistics from parameter sweep.
if ~isempty(varargin)
combatstruct = varargin{1};
doComBat = true;
else
doComBat = false;
end
... |
7f8bfd5444ec9cd0ac4e932c420d899e7bb7a6f4baed22d9f569733540976274 | MATLAB | 5,935 | 173 | function el = ET_setup_JQK(setup, el, subNo, phase, irun)
% setup.ET.ELdummymode | play pretend?
% setup.ET.falsePupilRec | record false pupil?
% el | eye link parameters
% subNo | subject number (string)
% phase | not applicable here, just set to 1
% irun | index of current run
... |
aeff816b715afd271038179eb750c4c24b12a5a96cc97630aa659459e6c9dd29 | MATLAB | 5,936 | 170 | % runShuffledDecoding.m
%
% Similar to varyDecodeParam.m
% This script runs decoding on a single parameter point of a simulation
% result generated by simulateParameterGrid.m.
% At the selected parameter point, it randomly shuffles cell identity,
% either within clusters or independently of clusters, then runs the
% de... |
e3f5424c29b6d18a419cdfc03334457dfc59e33344800fdf7d8fb5410512694c | MATLAB | 5,936 | 179 | % make results movies
function MakeCtraxResultsMovieWrapper(moviefile,trxfile,xvidfile,movietitle,ctraxresultsmovie_params)
%% ctrax movie parameters
defaulttempdatadir = '/groups/branson/bransonlab/projects/olympiad/TempData_FlyBowlMakeCtraxResultsMovie';
if ~isfield(ctraxresultsmovie_params,'tempdatadir'),
ctraxr... |
0e33da477683a62ca2528c408ea5a7bccd7510118e59e478a18e0a5dbcd81bf3 | MATLAB | 5,938 | 132 | function h_doubleClickMakeRoi3
% global h_img3
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3;
% h_unselectAll3(handles);
obj = get(handles.imageAxes, 'Children');%unselectAll.
set(obj, 'Selected', 'off');%unselectAll.
roiobj = findobj(gcf,'Tag','ROI3');
annotationROIObj = fin... |
ca5e92331f7f8bcd6a33abdf7ada7dfc6540d081ab3668653a1bc5310ac705dc | MATLAB | 5,938 | 211 | function [y,x,x0,eta,e,u] = VBA_simulate (n_t,f_fname,g_fname,theta,phi,u,alpha,sigma,options,x0,fb)
% samples times series from sDCM generative model
% [y,x,x0,dTime,eta,eta0] =
% VBA_simulate (n_t,f_fname,g_fname,theta,phi,u,alpha,sigma,options,x0)
%
% This function creates the time series of hidden-states and measur... |
eecf05ebfdc5b7ca11381a9eb234f1cb68b33629f112eaa56593f01341f62afb | MATLAB | 5,938 | 162 | %% empirical_var_to_spwcgc
%
% Calculate sampling distribution for pairwise-conditional frequency-domain
% MVGCs from generated time series data for a specified VAR model
%
% <matlab:open('empirical_var_to_spwcgc.m') code>
%
%% Syntax
%
% fE = empirical_var_to_spwcgc(A,SIG,m,N,fres,H0,nsamps,mtrunc,decayfac,regmode... |
ff8d0f0961427678d876d1e31754ede0206aabe27f387f3564fffe1d1a722c17 | MATLAB | 5,939 | 161 | function [SigmoidFun, coeffs, rnorm, residuals, jnd, warn] = FitSigmoid(x, y, varargin)
% Simple weighted sigmoid fitting function
NumCoeffs = 2; % By default we assume there is a slope and x-offset term
% Coefficients Growth term, x-offset, y-max, y-offset
Constraints = zeros(4,2); % [NumCoeffs x 2] (l... |
13c21eeab0214a392697e08836c19e6bcbeaeb19764128c449072ac3e466fcc9 | MATLAB | 5,940 | 199 | classdef TrackingVisualizerTracklets < TrackingVisualizerBase
% Tracklet visualization
% - landmarks via TVMT (TrackingVisualizerMT)
% - trx/target label via tvtrx (TrxVisualizerMA)
%
% Non-gobject model state lives on the associated
% TrackingVisualizerTrackletsModel (accessed via obj.tvm_).
properties
... |
4ba576fcba252d553c02526164052c149290ca163725e5e052c734acd0d1e630 | MATLAB | 5,940 | 174 | % Function that generazes the feedforward and recurrent connectivity
% matrices.
% Chengcheng Huang's code:
% https://github.com/hcc11/SpatialNeuronNet
% https://github.com/hcc11/FI_SpatialNet
function [Wrr,Wrf]=gen_weights(Ne,Ni,Nx,sigmaRX,sigmaRR,Prr,Prx,dimension)
% sigmaRR=[sigmaee, sigmaei; sigmaie, sigmaii]; 2x... |
10d0c297b5c51c220b9a6bd13edc4c7b3ad3f4dc08ba2038e338b8e86d126e9c | MATLAB | 5,941 | 196 | function [model] = linregFit(X, y, varargin)
% Fit a linear regression model by MLE or MAP estimation
% INPUTS
% X ... N*D design matrix
% y ... N*1 response vector
% OPTIONAL INPUTS:
% weights ... N*1 weight vector for eg weighted least squares
% regType ... L1, L2, none, scad (only... |
da15fe60ce94cee8945b0fa805f4811c5ada44d788780bbd37f156d522d07763 | MATLAB | 5,941 | 162 | function [res_x, idx_of_result] = knee_pt(y,x,just_return)
%function [res_x, idx_of_result] = knee_pt(y,x,just_return)
%Returns the x-location of a (single) knee of curve y=f(x)
% (this is useful for e.g. figuring out where the eigenvalues peter out)
%
%Also returns the index of the x-coordinate at the knee
%
%... |
9135e319606f67e5428b38c9a740ffe23d793c2f2ada3cbdada1330a7785d2f9 | MATLAB | 5,942 | 112 | %% Analysis code for the Auditory and Visual Sensory Thalamic Localizer Task
% Released under the GNU Public License version 3.
%% Code authors:
% John C. Williams, Srineil Nizambad, Philip N. Tubiolo, Yash Patel,
% and Jared X. Van Snellenberg
% Department of Psychiatry and Behavioral Health
% Department of Biomedc... |
677a663fbdfa35734525171a848d070c20b15df8aef9c28ca13201c68ae4508d | MATLAB | 5,943 | 171 | function [obj] = ft_determine_units(obj)
% FT_DETERMINE_UNITS tries to determine the units of a geometrical object by
% looking at its size and by relating this to the approximate size of the
% human head according to the following table:
% from 0.050 to 0.500 -> meter
% from 0.500 to 5.000 -> decimeter
% ... |
f4cfdc6686578312ec84a01c0b7927961cc2406fa1163a00852b6a51b9e2a9c2 | MATLAB | 5,947 | 101 | %STEP 1
close all;
%% preparing for the data
% subjNO = {'SUBJ03'};
% load the anatomy
T1name = ['/home/xianchige/YZY/20220523data/sub01/sub01/mri/T1.nii.gz'];%T1路径，是原始数据转格式之后的T1，并非freesurfer重构出的T1像
vol1 = load_untouch_nii(gunziptemp(T1name));
vol1size = [1 1 1]; % 1mm isotropic 结构像分辨率
vol1 = double(vol1.img);
vol1(i... |
93aefb42d1a0e64456bd039f9e2ff616db57766ced1eac133e2e16651dc8edac | MATLAB | 5,949 | 164 | % create_RandomSubset_mice_all_RunAnalysis.m
% Sarah West
% 2/22/22
% Takes mice_all and gets a list of a subset of stacks distributed across
% all days per mouse, randomly chosen within days. Is so you don't have to
% use as much resources for SVD compression on MSI.
% Parameters for directories
experiment_name='Ra... |
d4687e61d1d28ce04a3cb8b45ef29ae894d0cb04d09e99c137e215297958ae73 | MATLAB | 5,949 | 222 | function SPT_timedata(basename,tet2use,unit,session)
SR=20000;
SR_trk=30;
resofs=load([basename '.resofs']);
sessionfile = [basename(1:9) '_' num2str(session,'%02.f') '_trkRun.mat'];
load(sessionfile,'trk');
whl = trk;
res=load([basename '.res.', num2str(tet2use)]); %spike times of all the units in the s... |
0e06b069c9c6b1f0190c9dc3ffc42503be519e1913f4b9efc291d7a304514640 | MATLAB | 5,950 | 120 | function PARAMS = display_2AFC( subjectID )
% (c) Coraline Rinn Iordan 10/2017, 03/2018
if nargin < 1, error( 'Must provide subject ID.' ); end
% Load latest version of saved PARAMS ; should match PARAMS.INFOFILE
info.loadStartTime = GetSecs;
load( [ './data/info-' subjectID '.mat' ] ); % PARAMS
info.loadEndTime = Ge... |
1c3b48144f8694ec44632903e1e8afb0f60d6bd8f348495069fb5b4020661d1a | MATLAB | 5,950 | 170 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% [svlImg, xVoxels, yVoxels, zVoxels, svlResolution, xmin, xmax, ymin, ymax, zmin, zmax] = ctf_svl2spm(svlFile)
%%
%% reads and converts CTF SAM (.svl) files to Analyze (.img) format for SPM
%% and mri3dX.
%% The SAM image is saved as axi... |
10dc3bbc1460f39e5a8a4f648bad364c3dee779c5b072a4380631c570a9f1956 | MATLAB | 5,952 | 184 | function events = wlProc_getEvSegmentsByComparingDual( ...
databigger, datasmaller, samprate, ...
threshfactpeak, threshfactend, maxglitch, maxdrop);
% function events = wlProc_getEvSegmentsByComparingDual( ...
% databigger, datasmaller, samprate, ...
% threshfactpeak, threshfactend, maxglitch, maxdrop);
%
% T... |
e063e2e9ac5c3ef0a38b5d30a5f3f6ca46468cf7b6f74d9021cf3e0e88fb1515 | MATLAB | 5,953 | 164 | % Five-point stencil on the unit square, variable-coefficient Poisson equation,
% Dirichlet boundary conditions.
%
% This is basically the same as FD_SQUARE1 but with a variable quantized high-
% contrast random coefficient field that makes the problem especially ill-
% conditioned.
%
% Inputs (defaults are used if not... |
77e1ae856a6132427e7bba1641184b36347b6061c32d5b4fd414c685b4dc66ba | MATLAB | 5,954 | 159 | function lan_master_gui_tfsp_plot(LAN_var, mainfig, parent_)
LAN = LAN_var;
if nargin < 2
mainfig = figure;
end
figure(mainfig)
sp1 = subplot(8,1,[2 3 4], 'parent', parent_);
sp2 = subplot(8,1,[5 6 7], 'parent', parent_);
sp2_queue = false;
chan = 1;
lfp = LAN.data{1}(chan,:);
cfs = lan_cspec_load(LAN, chan);
... |
c801f5eadca2ebd20e6901764789ed88288ba6454fb8293a6c91db5e73b8977c | MATLAB | 5,954 | 163 | classdef MouseVocDetector < FeaturesDetector
properties
recording
NW
K
PVal
NFFT
FreqLow
FreqHigh
ConvWidth
ConvHeight
MinObjArea
MergeHarmonics
MergeHarmonicsOverlap
MergeHarmonicsRatio
M... |
d091cb1bee2dd82357c329692c8a7a577ca5b56288b9176ce59f99851e844ab0 | MATLAB | 5,954 | 152 | function lan_master_gui_tfsp(LAN_var, mainfig, parent_)
LAN = LAN_var;
outdir = '';
if nargin < 2
mainfig = figure;
end
figure(mainfig);
%%%%%%%%%%%%%% CHOOSE FOLDER
cfg_control(1) = uicontrol('style', 'text', 'units', 'norm',...
'position', [.04 .92 .6 .05], 'string', 'channel(s) : ',...
'horizontalali... |
cfee4d4c3380981aa888bb70c0586eaa657fff0c8dec94a0f94928e736803f26 | MATLAB | 5,956 | 189 | %% Choose the right lambda for ridge regression
% We use CV and empirical bayes
%
% This is a simplified version of linregPolyVsRegDemo.m
n = 21;
setSeed(0);
[xtrain, ytrain, xtest, ytestNoisefree, ytest, sigma2] =...
polyDataMake('sampling','thibaux','n',n);
deg = 14;
addOnes = false;
if ~addOnes
% To avoid... |
c2c2f2fc8ed9c4ab54debb680b4aa8bd6f0d4a68c9996599c7957ba3cf8853f5 | MATLAB | 5,957 | 203 | function bootstrapping_onsets_timedec(within,across,diff)
% set parameters
bootstrap_samples = 1000;
chance = 0;
% input data
data_W = within(:,11:110);
data_W_base=within(:,:);
data_X= across(:,11:110);
data_X_base=across(:,:);
data_D = diff(:,11:110);
data_D_base=diff(:,:);
%% bootstrapping
rng('shuffle')
fo... |
190181d7e4a5b0b63ed6e8582ed7e1530597ac58be1519e466972382b76946d6 | MATLAB | 5,959 | 157 | %TPS3DWARP Calculates a 3D Thin Plate Spline, then applies it to the moving
%Tile input (tileM). Keypoints for moving (keyM) and fixed (keyF) are
%intended to outputs from the calc_affine function, ie, vetted
%correspondence points that are stored as a Nx3 vector format. outDim is
%the size of the (padded) output image... |
16c35a29542a3cc8f7f0bd082acdef0c0f70db91d11276fe0e56cf4a599f7730 | MATLAB | 5,960 | 198 | function CreateTestAPTProject(fmoviefilelist,smoviefilelist,kinelistfile,savefile,varargin)
% CreateTestAPTProject(fmoviefilelist,smoviefilelist,kinelistfile,savefile,...)
% Creates an APT project with one video per fly from the input list of
% videos.
% Inputs:
% fmoviefilelist: Text file containing a list of fro... |
1fa865209bbfea3f077e6a167acb5e16586d233482aad333b50b04937fa4de4a | MATLAB | 5,960 | 176 |
clear all; % clear all variables
close all; % close all open graphs
clc % clear command window
%% data metadata
%%%%FILLIN with the path to where the data is stored
%%%%FILLIN name the file
file_name_1 = ''; %% FILLIN data file (exported from IDPS) pathway
t_point_dff_filename = ''; %% FILLIN output file... |
2953f2366acb859c07412fcc8718831dbe7b1b1eac1a67b8e0dc62e20a1014fa | MATLAB | 5,961 | 211 | function [vert, face] = read_ply(fn)
% READ_PLY reads triangles, tetraheders or hexaheders from a Stanford *.ply file
%
% Use as
% [vert, face, prop, face_prop] = read_ply(filename)
%
% Documentation is provided on
% http://paulbourke.net/dataformats/ply/
% http://en.wikipedia.org/wiki/PLY_(file_format)
%
% See ... |
91f1c592a9bac54bd321e0132784aa135800077527631480c998f00a7a304d8e | MATLAB | 5,962 | 181 | % DELCODE-SAME, Figure "FADE SAME Abitur"
% _
% original paper: Soch*, Richter* et al., HBM, 2022
% Figure S4B: Analysis of FADE scores as a function of educational status
%
% DELCODE paper: Soch et al., medRxiv, 2023
% Figure S5: FADE and SAME scores by diagnostic group and educational status
%
% written by Joram ... |
eedd4e6b3c78daf96e0becc4595d17735f9d2264a8a82ef54555e5a5ea999857 | MATLAB | 5,965 | 159 | %% Sparse linear regression with EM on synthetic data
% Similar to fig 8 from "Sparse Bayesian nonparametric regression",
% Caron and Doucet, ICML08
% We do not include normalInverseGaussian
% but we do include normalExpGaussian (see Griffin and Brown)
% PMTKreallySlow
% PMTKneedsStatsToolbox boxplot
%%
% This file i... |
2fe33a11a40118f349f2b3a324f4a170d6e16581a714e3cd55d42735be960f66 | MATLAB | 5,968 | 171 | % HYPOCT Build hyperoctree.
%
% A hyperoctree is a direct generalization of the octree in 3D to arbitrary
% dimension, wherein a given node is bisected in up to all dimensions on
% refining from one level to the next. This implementation constructs an
% adaptive hyperoctree on approximately hypercube nodes... |
a6bac14acbe9ad873735bd162efc18d07ad475a013d27f26a4de80b74d1ff518 | MATLAB | 5,970 | 159 | function [UnitIDs,UnitLabels] = FindInterestingUnits(TaskLabel,varargin)
%ISINTERESTINGUNIT Returns list of "interesting" units.
[varargin,PThresh]=Utilities.ProcVarargin(varargin,'PThresh',.001);
[varargin,mode]=Utilities.ProcVarargin(varargin,'mode','Anova');
datafile = fullfile(env.get('results'),'FaceScratc... |
cc42e702c844f13e5ba69e46d2315c00d5cb61f7d3d95cb81acbbd38b5109750 | MATLAB | 5,970 | 103 | % GEN_MASS_MATRIX_FD_CUDA Builds sparse matrix representation of time-invariant
% diffusion transport equation within FEM mesh in 2D (triangles) or 3D
% (tetrahedrons). Parallelized for multithreading with NVidia CUDA. Uses
% all available power of the strongest NVidia GPU installed. This function
% is limited ... |
a48e65c9fc5801e46b3599933f0af526cd6fea1fa86ed3826ed44d712b7b1fdb | MATLAB | 5,971 | 240 | disp('Detecting assemblies...')
%% Clustering
[NCell,NRace] = size(SCE.Race);
[IDX2,sCl,M,S] = kmeansopt(SCE.Race,100,'var');
% M = CovarM(SCE.Race);
% IDX2 = kmedoids(M,NCl);
NCl = max(IDX2);
[~,x2] = sort(IDX2);
MSort = M(x2,x2);
%SCE.Race clusters
R = cell(0);
CellScore = zeros(NCell,NCl);
CellScoreN = zeros(NCel... |
01cefdcf7dc86e73a37a008456c7397fcbaa66e4884fcf7f7abab52246dccb24 | MATLAB | 5,973 | 135 | function lan_master_gui_segm(LAN_var, mainfig, parent_)
LAN = LAN_var;
if nargin < 2
mainfig = figure;
end
figure(mainfig);
radiogroup = uibuttongroup(parent_, 'units', 'norm', 'position', [0 0 1 1]);
uicontrol(radiogroup, 'style', 'radiobutton', 'units', 'norm',...
'position', [.04 .86 .6 .05], 'string', 's... |
186ae5553564d30b229948b51c7bff4eea60e72d18bc8af18d1ce47b47c05dfb | MATLAB | 5,973 | 180 | function meg_Fig6b_TE_byPrecue_mdlFit_2Hz_bars
% function meg_Fig6b_TE_byPrecue_mdlFit_2Hz_bars
% Plot 2 Hz model fit
%% Load data
% Model fit data
filename = 'figData/ModelFit_SeparatePrecueT1T2_2Hz_session.mat';
% ITPC data
load(filename)
% CSV settings
% csvDir = 'manuscriptFigures/figData';
% % If not loading... |
2c836f476d0f824afce19eabf65ab730fbb96f42eb79028aef379cdd89d76b17 | MATLAB | 5,976 | 173 | function [sig,locatoms]= atoms(N,coord,display);
% ATOMS Linear combination of elementary Gaussian atoms.
% [SIG,LOCATOMS] = ATOMS(N,COORD,DISPLAY)
% generates a signal consisting in a linear combination of elementary
% gaussian wave packets. The locations of the time-frequency centers
% of the different atoms are e... |
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