sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
6b9dcd6ca49c1a4d25f84d410a7d470e99e3fac4fa970050c0595828aa07adc6 | MATLAB | 4,061 | 119 | function params=tpreadconfig( tpdirname )
%TPREADCONFIG read twophoton experiment config file - TiffStack
%
% PARAMS = TPREADCONFIG(TPDIRNAME)
%
% Reads parameters for a generic TiffStack directory.
%
% There must be a text file with the extension .tiffstack
% This file should contain the following lines:
% parameter... |
4ede9ec9329984576b49ee342198c5dfcd5abe46a078c5c5072509fd5aceebdd | MATLAB | 4,067 | 147 | function [Theta0,Re0] = lme_mass_fit_init(X,Zcols,Y,ni,maskvtx,prs)
% [Theta0,Re0] = lme_mass_fit_init(X,Zcols,Y,ni,maskvtx,prs)
%
% Starting values at each location for the linear mixed-effects iterative
% estimation. These starting values are based on the ordinary least squares
% estimators (OLS).
%
% Input
% X: O... |
f93425064d8be8fd093eaa1ec12032366a5479b6424e7d56a61e2679e04e3f53 | MATLAB | 4,068 | 152 | % fresh start
clearvars
close all
%% run config
config_file='config_mammals_1.m';
addpath(strcat(pwd,'/config'))
run(config_file);
%% read in proc spreadsheet
filename = [ DD_PROC '/MamiNum_corrected_proc.txt' ] ;
ssheet = readtable(filename,'Delimiter','\t') ;
animal_names = regexprep(ssheet.file_prefix,'_FF3_all... |
2e028fb6b03939ead8174b62db25de6376d529be8bdbbc9bb0dcc5f8081c264c | MATLAB | 4,072 | 175 | function varargout = ep_AddSubject_SanesLab(varargin)
%S = ep_AddSubject_SanesLab.m
%
%Custom function for adding a new subject for a Sanes Lab experiment.
%
%Created by ML Caras Jun 9 2015
%
% Last Modified by GUIDE v2.5 09-Jun-2015 14:45:49
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = str... |
1ac5ff92bd7756b2109f8e0cabd0bffbbe66fbc6627f3a2b88431964a634a115 | MATLAB | 4,074 | 104 | function [epi, cross_pl] = import_epi_geom(direpi, fepi)
% IMPORT_ENDO_GEOM Imports the nerve's epineuriums contour.
% The code import the .STL files of the nerve's epineuriums and convert
% the geometry file in a tomogrpaphy representation of the 3D scapes of the
% epineurium
% All the imported contours are giv... |
93505cb4c75b6158490651d214fc5944a8b930b452dd491ffe49515d84e842cf | MATLAB | 4,076 | 119 | function C = voxelCoverage(Pstat,threshold,Patlas,Tareas,verbose)
% C = voxelCoverage(Pstat,[threshold],[Patlas],[Tareas],[verbose])
%
% Inputs:
% Pstat ... Filepath to statistical .nii volume
% threshold ... Statistical threshold values. If a single value is
% specified, then a negative ... |
9a64bd05caf4ed247c7e30d8a9e63380b496e917e4d6e373a631d6d7b12385d3 | MATLAB | 4,081 | 89 | %%% To plot Arnold tongues of the sine circle map (potentially with
%%% dithering) based on data generated using code in the folder SCM_genData
%%% 26-01-23 first commit
close all
clearvars
dataDirToLoad = ['..' filesep 'SCM_genData' filesep 'test']; %directory with data to load
alphaOutsideTongues ... |
d5ff676022129c33ed8fe1fab4c34550948ec6fb1993fdfe9ab290f8ce772b4c | MATLAB | 4,081 | 146 | function cm_data = my_bwr( m )
% Copy of PiYG from matplotlib (diverging colormap).
% From
%https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
cm = [...
0.007843 0.007843 1.000000;
0.023529 0.023529 1.000000;
0.039216 0.039216 1.000000;
0.054902 0.054902 1.000000;
0.070588 0.070588 1... |
597e165d25465e21b42d24cd4d0a00cb4869baea84ef66398f94e2d9704e15f4 | MATLAB | 4,085 | 146 | function cm_data = my_seismic( m )
% Copy of PiYG from matplotlib (diverging colormap).
% From
%https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
cm = [...
0.000000 0.000000 0.310980;
0.000000 0.000000 0.332941;
0.000000 0.000000 0.354902;
0.000000 0.000000 0.376863;
0.000000 0.0000... |
0fe4af95bf03f9111bd4a843557185ac106a5326d78705f166db25680ee7668f | MATLAB | 4,086 | 146 | function cm_data = my_coolwarm( m )
% Copy of PiYG from matplotlib (diverging colormap).
% From
%https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
cm = [...
0.234377 0.305542 0.759680;
0.243520 0.319189 0.771672;
0.252663 0.332837 0.783665;
0.261805 0.346484 0.795658;
0.271104 0.360... |
24894c6c3d6a124466d18b56a410a9f2cd602f4451dafcde7b7109a666d29560 | MATLAB | 4,087 | 100 | function Out = DeepInsight_train_norm_CAM(XTrain,YTrain,XValidation,YValidation,Parm)
% Out = DeepInsight_train_norm_CAM(XTrain,YTrain,XValidation,YValidation,Parm)
if nargin <5
Parm.UsePreviousModel = 0;
end
if Parm.UsePreviousModel == 0
% change parameters as desired
if Parm.MaxObj>1
if Parm.... |
dd8da8571e7afe6eac7cf6b22baba72865b42bc0a14e7b805ca0ff828d748912 | MATLAB | 4,092 | 141 | function Spike_wave_discharge
% Script recreates figure 12 from the manuscript. This plots an example fit
% to a spike wave discharge rhythm, recovered from applying each of the
% SOEA20, SOEA45, MOEA20 and MOEA45 to data. We note that the data segment
% contain an SWD rhythm is not loaded here. See paper for det... |
c5b4b53b2835369e3a46d534abbbac469829f2f262730391edec7aa5626f67c5 | MATLAB | 4,095 | 116 | function [h] = plot_index(study_name, comparison, params, mre)
% PLOT_INDEX plot the indexes for boundaries condition confrontation
%
% [h] = plot_index(study_name, comparison, params, mre)
%
% Input: - study_name: name of the study
% - comparison: structure containing the indexes
% ... |
97a8344eab74017bd7ee865e658215daf2e61bd8bd9ba0ad81bdf74a0161c796 | MATLAB | 4,099 | 123 | function CreateLabeledVideos(self, varargin)
p = inputParser;
p.KeepUnmatched=true;
addOptional(p, 'PlaybackSpeed', 1);
addOptional(p, 'Scale', 1);
addOptional(p, 'FontSize', 18);
parse(p,varargin{:});
playbackSpeed = p.Results.PlaybackSpeed;
scale = p.Results.Scale;
fontSize = p.Results.FontSize;
outFolder = fullf... |
73ff6019b828f2bdcbfda9b1ded29ed64898b82a22cd6900ff8f6f5bf43cdfe0 | MATLAB | 4,107 | 123 | %% regularized Horseshoe prior for rank reduction and shrinkage
% Combining ideas from
%
% Chakraborty, Antik, Anirban Bhattacharya, and Bani K. Mallick. "Bayesian sparse multiple regression for simultaneous rank reduction and variable selection." Biometrika 107.1 (2020): 205-221.
%
% Piironen, Juho, and Aki Vehta... |
b8ba89abde4c560343cab9cca4f8243a2f0cd33a0878656ed203b3eeeb3e09a0 | MATLAB | 4,109 | 117 | function step3h_validation_rsa_behaviour(bids_dir, toolbox_dir, varargin)
%% RSA between the behavioural similarity matrix and the MEG pairwise decoding accuracies
%
%
% @ Lina Teichmann, 2022
%
% Usage:
% step3h_validation_rsa_behaviour(bids_dir, ...)
%
% Inputs:
% bids_dir ... |
52b2e1f47f6ede8edecb853a1cdc1c322bc6eacf854e4bc561a00488ddbef28a | MATLAB | 4,111 | 141 | % Screen('Preference','SkipSyncTests', true);
win = 2;
w = Screen('OpenWindow',win, 128);
ScreenRect=Screen('Rect',w);
black = BlackIndex(w);
white = WhiteIndex(w);
vbl = [];
% Get the size of the on screen window in pixels
[screenXpixels, screenYpixels] = Screen('WindowSize', w... |
b2cc85ed65f727e19cd2b319857eac8f5ade3dcc579feb72733b9661595ee39b | MATLAB | 4,112 | 177 | %BLP_PhotometryFreezing
%di
%cd('.\Data\981024FC\video\')
%folderN='981024FC';
%cd('.\Data\981024Test\video\')
%folderN='981024Test';
%cd('.\Data\981025FC\video\')
%folderN='981025FC';
%cd('.\Data\981025Test\video\')
%folderN='981025Test';
%cd('.\Data\996403FC\video\')
%folderN='996403FC';
%cd('.\Data\99640... |
9a6e58816430645a7df3441ba0a646f946f9a6d29dea395f7898235d15596fa9 | MATLAB | 4,114 | 121 | function [hubs,hubprob,hubdarea,susceptind] = ...
hub_sweep(mat,distmat,hubmethod,Nreps,proprand,altdist)
% from Gollo2018, get measures of hub fagility and measure the volatility
% of the hub distance embedding
%
% INPUTS:
% mat: connectivity data
% distmat: distance data
% ... |
ed9eba5dc1641efd822c56deed9783e5ac4d220930d6cb30f9c4656f8402b3c2 | MATLAB | 4,114 | 167 | % PURPOSE: pop_duplicatmvpc.m
% duplicate MVPCsets
%
% FORMAT:
% [ALLMVPC, MVPCcom] = pop_duplicatmvpc( ALLMVPC, 'MVPCArray',MVPCArray,...
% 'Saveas', 'off', 'History', 'gui');
% Inputs:
%
%ALLMVPC -ALLMVPC structure
%MVPCArray -index(es) of MVPCArray
% *** This function is part of ERPLAB ... |
c68a093d9af819527efa7a8120ee39416bab6bb5652b371b63049756453ab554 | MATLAB | 4,124 | 86 | % arbWeibull Evaluation of an arbritrary function; based on Weibull
% funciton. only accepts positive values of alpha.
%
% syntax: y = arbWeibull(params, x, threshPerformance)
%
% threshPerformance = the performance at which you wish to hold performance
%
% y = arbWeibull(params, x, threshPerformance), where 'p... |
11e23961a9dfdc5a08b7bf255530cb441c930aa24c237d9857f30aa84609aca9 | MATLAB | 4,125 | 153 | function [thresh, reject] = calculate_thresholds( Phys, segment_length_s )
% [thresh, reject] = calculate_thresholds( Phys, trial_length_s )
% Called by pp_sort_session. Launches a gui in which a random trial is
% selected and filtered Phys data is displayed for 4 channels at a time.
% Waits for user input, t... |
d24e6aa9f28bf2847823826f7323610e288a15891128aa7d893d4b78771a1fe4 | MATLAB | 4,125 | 127 | function varargout = UMSLoadingEngine(fn,varargin )
% [t,wv] = UMSLoadingEngine(fn)
% [t,wv] = UMSLoadingEngine(fn,records_to_get,record_units)
%
% Modified version of the OpenEphysLoadingEngine
%
%MClust Loading engine for reading in tetrode data collected with
%Open Ephys GUI software (http://open-ephys.org... |
3093671b92e0d8151eaedb73448842d93fd15ee5e2a91a6431b67c5106c536fd | MATLAB | 4,127 | 133 | function DB_UpdateUnitProps(unit_id,P,groupid,verbose,conn)
% DB_UpdateUnitProps(unit_id,P,groupid)
% DB_UpdateUnitProps(unit_id,P,groupid,verbose)
% DB_UpdateUnitProps(unit_id,P,groupid,verbose,conn)
%
% Updates unit_properties table of currently selected database.
%
% Accepts a unit_id (from units table) and P... |
88058a8457923227c79ed508fea1b35e9f4c42522eb0aa4e321e3e301f177903 | MATLAB | 4,136 | 126 | function mni_coords = ieeg_mni305ThroughFsSphere(elecmatrix,hemi,FSdir,FSsubjectsdir)
%
% Convert electrodes in native space to MNI through surface based
% registration (through Freesurfer sphere). Since it is surface based,
% it should ony be used for ECoG.
%
% Input:
% elecmatrix: nElec x 3 in the original T1 space... |
9818cbd91def31735d40f23f9f3eb03de015578886c2ec342a1969885c01361e | MATLAB | 4,147 | 173 | function plotContinuous_SanesLab(timestamps,TTL,ax,clr,xmin,xmax,varargin)
%plotContinuous_SanesLab(timestamps,TTL,ax,clr,xmin,xmax,varargin)
%
%Custom function for SanesLab epsych
%
%This function plots TTL data in realtime as a continuous, scrolling plot.
%Using the MATLAB plot feature each time the graph must update... |
a9f00758588c13fbc001faded865cf7c04abc20ed596aea446f7a9b6263dffda | MATLAB | 4,147 | 97 | function slope = getSlopePC(result, pCorrect, unscaled)
% function slope = getSlope(result, pCorrect, unscaled)
% This function finds the slope of the psychometric function at a given
% performance level in percent correct.
%
% result is a result struct from psignifit.
%
% pCorrect is the percent correct where to evalu... |
4a4cefcb7b88e95d971c7bbbbb6bd33bf5ea2bd36ccddcafa3dd34d1938fd54b | MATLAB | 4,160 | 143 | function C = textscanu(filename, encoding, del_sym, eol_sym, wb)
% C = textscanu(filename, encoding) reads Unicode
% strings from a file and outputs a cell array of strings.
%
% Syntax:
% -------
% filename - string with the file's name and extension
% example: 'unicode.txt'
% encoding - en... |
3f2a69f358dccd83f1fa174e10dcfc4b34b28e64fd5f6c08ccc684a05726e878 | MATLAB | 4,162 | 69 | % Code for Stress Analysis of CNS from 2D velocity data
% Reads data in Set.DispFile. Datafile *.mat in the folder contains: *File
% inside folder contains:
% XEul(:,i) = list of x positions in pixels at time i where velocity is read (Eulerian coorindates, fixed in space)
% YEul(:,i) = list of y positions in pi... |
a1543677fdf69f9d3126c28e770d309178bd5f43d0bc19ce070e55e9caaf3cf2 | MATLAB | 4,162 | 110 | function [ out, tr ] = recalcFalseAlarms( tr )
%% script to recalculate actual false alarm rate
% based on using the timing from all available Go trials and checking if
% for any catch trial the monkey would have done a false alarm or not
%% Calculate the time limits for every Go trial, defined after stimOn (t=0)
fo... |
5c9be533c553bfe968969487be123261a94664cdf8fd104e0e53fbb0c6f399b3 | MATLAB | 4,163 | 61 | % TwoPhotonUserInit -a user-editable file to customize the TwoPhoton library's operation
%
% TWOPHOTONUSERINIT
%
% Users can edit this file to add any features specific to your particular user
% needs
%
analyzetpstack_active_draw_devices('add','import_imagejrois','import_imagejrois',struct('default_filename','R... |
2a711bd1c9a3afd393bcb38ad82f8ecc1c879e2311c12c8d61a7adeb32250f80 | MATLAB | 4,166 | 114 | function [pos_peaks, neg_peaks, empty_regions, water_regions] = classify_regions(region_mask)
% CLASSIFY_REGIONS Classifies signal regions into peak types, water, and empty regions.
%
% Inputs:
% region_mask - Mask of the same length as signal containing values:
% 1 = Positive Trend
% ... |
8764e55e99cbf98ece95cd236fe810ebc9db04872ca0825b70efe0d184c8ac6d | MATLAB | 4,175 | 102 | function [results] = scaleDWB5(results, params, spkHistPrior_setup, addPriorForWB, couplingGroup, precomputedPortion)
% i.i.d non-mean Gaussian over spike history coefficients & constant
K = size(params.B,1);
K2 = K/2;
w_mu_idx = 1;
w_sig_idx = 2;
H = double(params.H);
%w_mu = H(w_mu_idx);
log_w_sig = H(w_sig_i... |
db61433bb5f077695b77349582ef11f2901576931eff4f8c0d9dac6e1bf71569 | MATLAB | 4,176 | 123 | function [avgFR,seFR,Ft2,Rt2,Ft2ciL,Ft2ciH]=DecodeStatsMultiOutcome(FR,reg)
% Fisher F-test based classifier/decoder for multi-way comparisons (>2 Outcomes)
% Aleksander PF Domanski PhD UoB 2017
% aleks.domanski@bristol.ac.uk
%
% Input Variables:
% FR: Firing rate matrix [time x no. Units]
% evt0: Event catego... |
585ef7373db853fc5a25476f442979149f96c0e9b882e4b164164e3fa0c271a9 | MATLAB | 4,178 | 134 | function He = lme_Hessian(X,Zcols,W,CBhat,L,phi,re,ni)
% He = lme_Hessian(X,Zcols,W,CBhat,L,phi,re,ni)
%
% Hessian matrix of the restricted log-likelihood.
%
% Input
% X: Ordered design Matrix (according to time for each subject).
% Zcols: Vector with the indices of the colums of X that will be considered
% as random ... |
688413d6358576506610717e94cc40f1a6487e4a953690e1057ee7b2a6969fe7 | MATLAB | 4,179 | 106 | function varargout = guideApp(varargin)
% GUIDEAPP MATLAB code for guideApp.fig
% GUIDEAPP, by itself, creates a new GUIDEAPP or raises the existing
% singleton*.
%
% H = GUIDEAPP returns the handle to a new GUIDEAPP or the handle to
% the existing singleton*.
%
% GUIDEAPP('CALLBACK',hO... |
68bb32452993062eb5c050b438b35e8df1a715797317a948bf315c08f3b92bd2 | MATLAB | 4,181 | 112 | %% Setup
% This script combines sessions from different tastes to make a combined
% connectivity matrix between the hemispheres
util.clearAll;
% stimuli
outdir = fullfile(util.get_paths().figs,'combine_tastes');
util.mkdir(outdir)
%% load the data and combine betas
% Get the beta tables from matfiles
taste_str = util.... |
7c61ab03339e30a3f2fda20c8304ee57dd0b2a346ac7cc1227b2a66db12f08ff | MATLAB | 4,189 | 114 | function analyzetpstack_analyzerawall(fig, channel, dsarg, stacknamearg)
% ANALYZETPSTACK_ANALYZERAWALL - Analyze raw F from an analyzetpstack stack
%
% ANALYZETPSTACK_ANALYZERAWALL(FIG, CHANNEL)
% or
% ANALYZETPSTACK_ANALYZERAWALL([], CHANNEL, DS, STACKNAME)
%
% Inputs: FIG - the figure number of the analyze... |
24cecb36bff84df4808246d9c8ca90171a5cd1cae148d85ea05ed6096b6c87f9 | MATLAB | 4,190 | 114 | function params=tpreadconfig( tpdirname )
%TPREADCONFIG read twophoton experiment config file - TiffStack
%
% PARAMS = TPREADCONFIG(TPDIRNAME)
%
% Reads parameters for a generic TiffStack directory.
%
% There must be a text file with the extension .tiffstack
% This file should contain the following lines:
% ... |
0b44642e6560412e1f57af296307876e768d11369ca9ad8cf614f8ad3f73892e | MATLAB | 4,196 | 137 |
load(fullfile(preprocFolder,sprintf('granularLayerBounds_ephys%s',what2Load)));
granBound = granBoundManual;
%% Save the cell's location
for k = 1:P.nMice
shankPos = ceil(db(k).C.XPos/200);
shanks = unique(shankPos);
db(k).C.Layer = ones(1,numel(db(k).C.Depth))*2;
for s = 1:numel(shanks)
if ~... |
4301e118a6486e1545aba51c585dad3b05eb51b2e8078038e48d7a675bd37b5e | MATLAB | 4,196 | 175 | % PURPOSE: pop_renambest.m
% rename ALLBESTset
%
% FORMAT:
% [ALLBEST, bestcom] = pop_renambest( ALLBEST, 'bestnames',bestnames,...
% 'Saveas', 'off', 'History', 'gui');
% Inputs:
%
%ALLBEST -ALLBEST structure
%bestnames -strings for bestsets
% *** This function is part of ERPLAB ... |
6402b1eda4b3d966a6af34e2db30fa582fa429cb529d251a7079af96aae8f875 | MATLAB | 4,196 | 131 | function [w,ytest,ytrain,ytest_pred,ytrain_pred,RRRdim] = makePred_paper(y,X,idxfold,model)
% y is the data you want to predict (timepoint x components)
% X is the set of predictors you want to predict with (timepoint x
% predictors)
% idxfold are the timepoints you want to leave out in the test set
% model is a struc... |
0eaa10360e8fcc0d6c44d2135270775bed370cf05e17e0aa37943a76a14d87d4 | MATLAB | 4,200 | 130 | % PURPOSE: saves new ERPset (and its pointer at ERPset menu) in Matlab workspace. Also, redraws and updates the ERPset menu
% including the new ERPset.
%
% FORMAT
%
% erp2memory(ERP, indx)
%
% INPUTS:
%
% ERP - new ERPset
% indx - ERPset's index or pointer (according to the ERPset menu and ALLERP)
%
%
% A... |
65b9634ea5b3c07e60ee1a0e76cca3b207b2cbb8b033b0be3fa23252f8f7d4aa | MATLAB | 4,205 | 111 | %% Calculate basic statistics for an OH/OHA/TOH/TOHA trial
% For a single trial, calculate the frames where targets and distractors
% are created and the frames where hits, misses, drops (successfully
% missed distractors), and crashes (unsuccessfully avoided distractors)
% occur.
% Copyright (C) 2022 Richard Hug... |
caba253f763af2153678febe3563f5cbdc83ecaf1ed0e4d568e73d7598156bae | MATLAB | 4,206 | 108 | % PURPOSE: subroutine for
% reseting flags (user and artifact ones)
%
% FORMAT:
%
% EEG = resetflag(EEG, flag);
%
% INPUT
%
% EEG - epoched dataset
% flag - binario converted to decimal.
% indexEL - EVENTLIST index (in case of multiple EVENTLISTs)
%
% ERPLAB's flags are ... |
00c3bf48691a709856f97785971725a272371775cbe2b205e05b08c64614da09 | MATLAB | 4,208 | 175 | % PURPOSE: pop_renamemvpc.m
% rename ALLMVPCset
%
% FORMAT:
% [ALLMVPC, mvpccom] = pop_renamemvpc( ALLMVPC, 'mvpcnames',mvpcnames,...
% 'Saveas', 'off', 'History', 'gui');
% Inputs:
%
%ALLMVPC -ALLMVPC structure
%mmvpcnames -strings for mvpcsets
% *** This function is part of ERPL... |
0a17c77a1cda8378104d6a4125a33cae58eab61080b2289ac13403d805ca0dc1 | MATLAB | 4,211 | 132 | function [cfx,cfreqso] = morletWaveletTransform(x, fs, cfreqs, morletParam, dim, plotFlag)
% Takes the complex Morlet wavelet transform of time series data and plots
% spectrogram
%
% ARGUMENTS:
% x -- 1xT vector time series or multi-dimensional vector with time
% specified in dimension DIM
% fs ... |
b5cb235f9a9272d4316cb665df71d421e3b99029205d1bff8955a3c1e4fd272b | MATLAB | 4,211 | 132 | function [cfx,cfreqso] = morletWaveletTransform(x, fs, cfreqs, morletParam, dim, plotFlag)
% Takes the complex Morlet wavelet transform of time series data and plots
% spectrogram
%
% ARGUMENTS:
% x -- 1xT vector time series or multi-dimensional vector with time
% specified in dimension DIM
% fs ... |
3f5711cb75984190ff49d293bfd71291e7b4b1c77a7be33ee2017330bf878d23 | MATLAB | 4,213 | 135 | function motifs = temporalMotif(symbolSeries, lengths, weightFlag, removeCycleFlag)
% TEMPORALMOTIF finds temporal motifs in the array SYMBOLSERIES containing
% integers 0 to n representing different behaviours in a time series.
%
% Method taken from "The Motif Tracking Algorithm. Wilson, Birkin and
% Aickelin, 2007".
... |
62beade12aa75bff5d9c22ee788780e8b9f2921abe83313a55dc9ccf1e77d8a4 | MATLAB | 4,217 | 116 | % Plot individual/population assembly decoding performance
%
% Aleksander PF Domanski PhD UoB 2015
% aleks.domanski@bristol.ac.uk
clear all; close all
% start in directory holding decoding results
bw=0.05; iFRtyp='iFR';
load(['ASSEMPopDecodeStats_' iFRtyp num2str(bw*1e3)]);
% load([pat 'ErrTrDecodeStats_' iFR... |
ba2c3bf3162aa657f5b72e88a3f294187b8844afe97778ba2e7c8851ca749b83 | MATLAB | 4,217 | 112 | function EEG=reject2marks(EEG)
if ~isfield(EEG,'marks');
if isempty(EEG.icaweights);
EEG.marks=marks_init(size(EEG.data));
else
EEG.marks=marks_init(size(EEG.data),min(size(EEG.icaweights)));
end
end
%CREATE MARKS.TIME_INFO INSTANCES FROM REJECT STRUCTURE FIELDS...
if ~isempty(find(EEG.rej... |
d9d2b99b7e81db9af33e5093cb64607a3431d9e89b70cb13ad43b863d0f49dcf | MATLAB | 4,227 | 122 | function [mappedX, mapping] = npe(X, no_dims, k, eig_impl)
%NPE Perform the Neighborhood Preserving Embedding algorithm
%
% [mappedX, mapping] = npe(X, no_dims, k)
% [mappedX, mapping] = npe(X, no_dims, k, eig_impl)
%
% Runs the Neighborhood Preserving Embedding algorithm on dataset X to
% reduce i... |
b2ac051ad9340027bf6433378c13892b94c634c32ab337a9583d223c1c485e35 | MATLAB | 4,229 | 175 |
%function FM_sweep_testing()
% close all;
% Define RCX file
handles.RPfile = 'C:\gits\epsych\UserFiles\SanesLab\RPVdsCircuits\Sandbox\KP\AM_jitter_Macro_DurTest.rcx';
% handles.RPfile = 'C:\gits\epsych\UserFiles\SanesLab\RPVdsCircuits\Sandbox\KP\AM_jitter_Macro_DurTest_180shft.rcx';
%Load in speaker calibration fi... |
8b6ac2925cf15a147957464a99ec1161ad88a1879b1a3f05da15e3b9fb6feb4d | MATLAB | 4,237 | 135 | %% runs an HMC step with a diagonal M matrix (M should be a column)
%
% I had previously programmed up HMC for the GMLM to try geodesic Monte Carlo, but I found no benefit.
% I wound it back to the simple HMC step.
%
% Takes in a negative log posterior function (return [nlpost, dnlpost] given vector of parameters)
% ... |
5584ae0f8123258be30af100fec51413dbbab82899e271de11a223d8a820149b | MATLAB | 4,238 | 127 | %
%
% This code is used to the plot for Figure 1C and Figure 3A - the normalized CCEPs of all patients in order of age,
%
%
%%
% Load the ccepData and ccepAverages from the derivatives
clear
close all
warning('on');
warning('backtrace', 'off')
myDataPath = setLocalDataPath(1);
track_path = fullfile(myDataPa... |
913dd848123206452dfeeeea3ec64c4bf1762f5b307431ec0ea1ca52369bbb46 | MATLAB | 4,238 | 154 | function varargout = makedatatip(hObj,index)
%MAKEDATATIP Adds data tips to specified data points of graphical objects.
%
% MAKEDATATIP(HOBJ,INDEX) adds a datatip to the graphical object HOBJ at
% the data point defined by INDEX.
%
% HOUT = MAKEDATATIP(...) returns handles to the created datatips.
%
% If HOBJ is 1... |
d6e74b1a2190fd5e2b5031323e6f4fa1683556348ae5365a2d2279c1c9d0ec77 | MATLAB | 4,239 | 167 | % fresh start
clearvars
close all
%% run config
config_file='config_mammals_1.m';
addpath(strcat(pwd,'/config'))
run(config_file);
%% read in proc spreadsheet
% filename = [ DD_PROC '/MamiNum_corrected_proc.txt' ] ;
% ssheet = readtable(filename,'Delimiter','\t') ;
%
% animal_names = regexprep(ssheet.file_prefix,'... |
4caaee60f1b8b52865f600488e7708b1ab578ff11c972cf9bd79ffe67e081760 | MATLAB | 4,244 | 141 | function handles = initializeCalibration_SanesLab(handles)
%handles = initializeCalibration_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function prompts user to select and load a calibration file, and sets
%the normalization value correctly in the RPVds circuit. If an incorrect
%calibration file is... |
039d258c4f2fd0f9200b57384dabbfecbeba83f57e12e873b4e2ddbd50d99d83 | MATLAB | 4,250 | 110 | % ----------------------------------------------------------------------
% RF=update_arbitrary_pf(RF,amplitude,response,threshPerformance)
% ----------------------------------------------------------------------
% Purpose: Update an arbitrary psychometric function (PF).
% The PF is arbitrary to the extent t... |
d3dabf2ced126c367b30bfd08bd3e4cbf49bd48b61387725a1e5731f8d3578d9 | MATLAB | 4,264 | 157 | function vprintf(verbose_level,varargin)
% vprintf(verbose_level,[red],msg,[moreinputs])
%
% Prints timestamp and text to the command window based on the current
% value of the global variable GVerbosity. GVerbosity is a scalar
% integer value between -1 and 3:
% -1 log message, but do not print to screen
% 0 suppr... |
cbf24268b6aa147e501af594e00807784a1b0e7899898cdc8a5bc70550ac78ac | MATLAB | 4,268 | 106 | % Prototype wrapper code for calculating smoothed estimates of firing rate by optimised kernel density smoothing.
%
% (c) 2014 Daniel Durstewitz, Bernstein Center for Computational Neuroscience, CIMH/ Heidelberg University
% Edited by Aleksander PF Domanski PhD UoB 2015
% aleks.domanski@bristol.ac.uk
%
%
% For ... |
ff134ec3cda06ad87c714e6bbb5b849abba60a449570cef3f9a37b369cf21e39 | MATLAB | 4,270 | 140 | function ieeg_elAdd_sizable(els,r2,varargin)
% function ieeg_elAdd_sizable(els,r2)
%
% els: rows = electrodes, columns = xyz
% r2: for size
%
% ieeg_elAdd_sizable(els,r2,maxr2,max_elsize)
%
% optional inputs maxr2 and max_elsize
% maxr2 (varargin{1}) maximum for scale (if {''} absmax)
% example: ... |
20ef03e388c89647b745cc02fbf1ea8c9dd342786cdea8ee7615e13fbc0c05e3 | MATLAB | 4,272 | 141 | function eda_save_text(eda, fs, edr, conds, ftxt)
% EDA_SAVE_TEXT Save EDA results in text file format
% EDA_SAVE_TEXT(eda, fs, edr, conds, ftxt)
%
% Required input arguments:
% eda - 1-by-n vector of EDA samples
% fs - sampling rate (Hz)
% edr - structure array of electrodermal response (EDR) (s... |
6f441cd0e2ab3e8f2a2bf87f4ad21c39e7fe5dae460dbe423fe90f54952224b2 | MATLAB | 4,274 | 127 | function mni_coords = ccep_mni305ThroughFsSphere(elecmatrix,hemi,FSdir,FSsubjectsdir)
%
% Convert electrodes in native space to MNI through surface based
% registration (through Freesurfer sphere). Since it is surface based,
% it should ony be used for ECoG.
%
% Input:
% elecmatrix: nElec x 3 in the original T1 space... |
8911688ee38f67a86ccc7b98a4a084bfc48c45d92688a37ca2c399e25d761e47 | MATLAB | 4,279 | 168 | % fresh start
clearvars
close all
%% run config
config_file='config_mammals_1.m';
addpath(strcat(pwd,'/config'))
run(config_file);
%% read in proc spreadsheet
% filename = [ DD_PROC '/MamiNum_corrected_proc.txt' ] ;
% ssheet = readtable(filename,'Delimiter','\t') ;
%
% animal_names = regexprep(ssheet.file_prefix,'... |
7c3391bf43c5133dfddd453645d85e7fcad4ddc8fec3bbbfcebb46cf921f2647 | MATLAB | 4,286 | 87 | function [I_ion, S, Sinf, invtau, b] = processReaction(V, S, Sinf_old, invtau_old, b_old, dt, I_stim, I_stim_old, cell_models, model_assignments, mesh, second_order, extra_params)
% This function applies Rush-Larsen integration to process a timestep of
% length dt, according to the cell model specified in input variabl... |
e021300995527a3efaf09797690ab3257eac6fdad80cfa9ba964354e0da4ff74 | MATLAB | 4,288 | 103 | % CHECK IF CORRECT (ADDED VARARGIN TO BE ABLE TO PRODUCE 10S OF SOUND)
%
% POTENTIAL ISSUES FOR PRODUCING WHITE NOISE, BUT NOT USING WHITE NOISE FOR
% NOW.
%
% sound_signal = GENERATE_1S_SOUND(sound_frequency,sample_rate)
%
% Generates data for 1s of sound, of given sound_frequency and at a given
% sample_rate.
%
%
% ... |
504aaa3c7385d2013338cc0d7d5bafdf1bda15dc5314ae4ab3723986d17ed697 | MATLAB | 4,297 | 127 | function crop_static_3d(cropped_size, overlap, static_path, save_path, save_all, pixel_threshold, var_threshold, bitdepth)
%%% crop small 3-D stacks into training data
%clear
% path(path, '_utils')
% cropped_size = [176, 176, 31];
% overlap = [0.5, 0.5, 0.];
% pixel_threshold = 1e5;
% var_threshold = 1e0;
%
%
% save... |
edfbf8dcaedd260c0bab191b2128bee5b58e9cbc1fd6062fbb410dd872721287 | MATLAB | 4,298 | 142 |
%% Script to calculate the phase-synchronization measures corrected with the surrogates
%This script calculates phase synchronization measures to study brain
%dynamics. The goal here is to describe the synchornization dynamics based
%on phase statistics. The present script computes four basic measures;
%integration, s... |
0a825acd53ce1683675feca86158812b0e27927e4e9829ba1ef9b78511bfbc84 | MATLAB | 4,299 | 146 | function Vfrac = boundaryAccessible(occ)
% This function takes as input a matrix of logical values, 1's
% corresponding to obstruction and 0's to conductive material (pore space),
% then determines what proportion of the material is accessible from the
% boundaries. This gives a "true" volume fraction, that ignores... |
f16020afeea383f4a3195254b59f5e841a7a22f611705fda041aa5a74488e9e8 | MATLAB | 4,301 | 135 | clc;clear all;close all;
%% Setting Directory
% input='../Input/final/Phantom/';
input_image1= './Input/allabdomen/train/skin_train2019/';
input_mask1= './Input/allabdomen/train/annotations/';
input_image = imageDatastore(input_image1,'IncludeSubfolders',true,'LabelSource','foldernames');
input_mask = imageDatastore(in... |
165035c0e9ffc17916ae418527840de1d8de59bf520254a48adcf7064c01a1e7 | MATLAB | 4,304 | 132 | function ax = plot_cluster_tree( spikes, clust)
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% plot_cluster_tree - plots color coded aggregation tree for a single cluster
%
% Usage:
% ax = plot_cluster_tree( spikes, clust)
%
% Description:
% Plots color coded aggregation tree for a ... |
1ec554530791cd1c584fe5deee94fe5e16f5d2082f8c7a0993bbfa87718ddfd9 | MATLAB | 4,305 | 171 |
[x, y] = organizeData(Headtracker,Data);
%%Showing the azimuthal movements during each trial
%
x2 = x((x(:,2)==1),:);
for i = 1:length(y)
x3 = x2((x2(:,1)==i),:);
scatter(x3(:,4),x3(:,5),15);
pause(0.5);
end
%Look at all trials on one plot
%
x2 = x((x(:,2)==1),:);
colorArray = jet(13);
for i = 1:l... |
5723ded093d2994bd1b8aaa9fa91c43028848ab2895c36713aca35c2715644cc | MATLAB | 4,307 | 134 |
function self = SetUpClassifier(self, varargin)
p = inputParser;
p.KeepUnmatched=true;
addOptional(p, 'showplot', true);
parse(p,varargin{:});
verboseLevl = self.VerboseLevel;
trnOpts = self.ConfigFile.GetParams('TrainingOptions');
netOpts = self.ConfigFile.GetParams('Network');
if verboseLevl > 0
fprintf('Set... |
77e46b5c3a4a6986f2bb7600063a098599721304ec4e6d396ac0f76c2442cf94 | MATLAB | 4,309 | 177 | function params_ = readprairieviewxml(filename)
% params_ = readprairieviewxml(filename)
% A fast tool for reading the prairieview xml file and extracting
% relevant params.
%
%
% This function does not read the old format (.pcf files).
% Use READPRAIRIECONFIG to open either format.
%
% MM 2/07
fid = fopen(filen... |
59a170fe58e2cad328be7f4e22c22ae5357a976b13096c127ac877998ea12019 | MATLAB | 4,317 | 118 | function [ DOM ] = WriteColladaGeometry( DOM, Name, materialID, Verts, Faces, Normals)
%WRITECOLLADAGEOMETRY Summary of this function goes here
% Detailed explanation goes here
DOMNode = DOM.getDocumentElement;
GeoLibList = DOMNode.getElementsByTagName('library_geometries');
GeoLibNode = [];
if... |
a0281b8f6b6ba380743e15d308df0d713a0838fd325d782400c5d7a4dba672f7 | MATLAB | 4,317 | 235 | % Examples for manuscript
% "The Partial Entropy Decomposition: Decomposing multivariate entropy via
% pointwise common surprisal"
%% Dyadic PED
Pxyz = zeros(4,4,4);
p = 1/8;
Pxyz(1,1,1) = p;
Pxyz(1,3,2) = p;
Pxyz(2,1,3) = p;
Pxyz(2,3,4) = p;
Pxyz(3,2,1) = p;
Pxyz(3,4,2) = p;
Pxyz(4,2,3) = p;
Pxyz(4,4,4) = p;
lat = ... |
1d67b364973b9870755d1c84e455a4da6c71a32da26b61f6563b6821b0bd25c1 | MATLAB | 4,328 | 121 | function [Out,Norm] = DeepInsight_train_CAM(Parm,Norm)
% [Out,Norm] = DeepInsight_train_CAM(Parm);
%
% dset is a data struct (dset.Xtrain, dset.XValidation,...)
%
% Out is the output in struct format
%fprintf(Parm.fid,'\nDataset: %s\n',dset.Set);
%fprintf('\nDataset: %s\n',dset.Set);
if nargin<2
dset = load('Out1.m... |
53215572f757c096bd50d22eea01c5845ce903d8a4475c18feeb049bb01b7ba0 | MATLAB | 4,328 | 126 | function [CVE,... time-dependent mean decoding score [No. Timepoints x 1]
Score,... Time-averaged/Peak decoding score, depending on InfoCriteria [1 x 1]
Score_Shuffled,... Median Time-averaged decoding score from shuffled trials, [1 x 1]
Score_ShuffledCIL,... 5 percentile... |
463fe2c61b48ff8099c6cce8c72fda8e7bca2fe75f6f2b70016787fb8dcf045c | MATLAB | 4,340 | 112 | function [] = fit_simulated_data()
% Compute the quality of fit on simulated data computed in
% simulate_behavior.m.
% ======================================================================= %
% ===*=== General parameters
% ======================================================================= %
model_type ... |
c3f20a73f7c5bcc09934268f4306cfaf2e8f17aa51bee11f96d2fc816729f44e | MATLAB | 4,341 | 155 | function Total_control_and_fe_simulations
% Script recreates figure 10 from the manuscript. This compares the PSD and
% wHVG distribution from data and model simulations for control and FE
% subjects.
% Load simulation results
FS1 = 7; % fontsize
sims = 100;
subjects = 20;
% load controls
load('Total_... |
eb9bd586ba882ad834b264c11c0e96a4c3031edbd1cae97df7c88b7605ccdf1d | MATLAB | 4,341 | 107 | %% Example to reproduce partial results from Herberthosn et al. 2021
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This script guides through the replication of part of the results %
% presented in Herberthson et al. 2021. To run this script it is necessary%
% to download the data... |
de9dcc9f761b094e97c9278e9a2809cb725626e7956f8ac173acd332e3ba0256 | MATLAB | 4,346 | 144 | function Batchify(analysisfcn,blockid)
% Batchify(analysisfcn)
% Batchify(analysisfcn,blockid)
%
%
% Daniel.Stolzberg@gmail.com 2013
global KILLBATCH
KILLBATCH = false;
assert(nargin == 1 || nargin == 2,'Function requires 1 or 2 inputs');
if nargin == 1
blockid = getpref('DB_BROWSER_SELECTION','bl... |
470507d6f3463464b4ce8aef49998218ac093fa487254115aa55d976ea05b59d | MATLAB | 4,350 | 165 | function PLX2TDT(plxfilename,varargin)
% PLX2TDT(plxfilename)
% PLX2TDT(plxfilename,'Parameter','Value',...)
%
% Convert plx file generated from sorting data with Plexon Offline Sorter
% and update appropriate TDT tank.
%
% IMPORTANT NOTE: When sorting spike waveforms using Plexon Offline Sorter,
% ensure the ... |
9d967b7b55b3ebbd61cc6fe605b30e76bc9f260d32579960b8c6ee84125342e5 | MATLAB | 4,353 | 130 | function [c, matches] = strsplit(str, aDelim, varargin)
%STRSPLIT Split string at delimiter
% C = STRSPLIT(S) splits the string S at whitespace into the cell array
% of strings C.
%
% C = STRSPLIT(S, DELIMITER) splits S at DELIMITER into C. DELIMITER can
% be a string or a cell array of strings. If DELIMITER i... |
2d687cf555f3723d315d98798c315be54f1d9422dec84131288d281d8a5a5dad | MATLAB | 4,356 | 121 | % PURPOSE : Plot/export temporal generalization matrix from MVPC data
% See also: pop_plotempgenerMatrix
% *** This function is part of ERPLAB Toolbox ***
% Author: Guanghui Zhang
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2026
function f_exportfile_TemporalGeneral... |
10add8874a531dac407d7efe579c79637ac46fa3adc1256e48112c90f90e37d1 | MATLAB | 4,358 | 166 | % PURPOSE: pop_erp_eventlist_view.m
% display eventlist
% FORMAT:
% [ALLERP, erpcom] = pop_erp_eventlist_view( ALLERP, 'ERPArray',ERPArray,...
% 'Saveas', 'off', 'History', 'gui');
% Inputs:
%
%ALLERP -ALLERP structure
%ERPArray -index(es) of eegsets
% *** This function is part... |
ef21811d97bfa01a2e0bf301a747c965d71f813527cb4266fab9d2bc9ddf5329 | MATLAB | 4,358 | 149 | function [] = test_l1_linear_svm()
clc;
clear;
close all;
%% Set algorithms
if 0
algorithms = gd_solver_list('ALL');
else
%algorithms = {'PG-BKT', 'PG-TFOCS-BKT', 'APG-BKT', 'APG-TFOCS-BKT', 'Newton-CHOLESKY', 'NCG-BKT','L-BFGS-TFOCS'};
algorithms = {'APG-BK... |
7e0308bd2a86f2198bd8a782b3eb90da973b4d0bb9be63ae8b306aa5f026918c | MATLAB | 4,360 | 156 |
function Stim = pp_make_stim_struct( epData, block, behavior )
%
% pp_make_stim_struct( epData, block )
% Sub-routine called by pp_prepare_format.
%
% Creates matlab struct with number of elements equal to number of
% trials, and fields with stimulus information for each trial.
%
% This function ... |
2551265c591872fac10b46c8c49b0ee2ac114b997b4276c8b6f7a4027add86ba | MATLAB | 4,364 | 165 | function plot_w_vs_tau_ca_motoneuron (dt_info)
% Simulate zebrafish embryonic motoneurons' calcium transients
% with empirically observed statistics of the data
%
% Compute the directional preference W_{IR} and W_{RC} as a function of
% calciumd decay time scale tau_{ca}, at the information propagation time
% scale, t... |
6d67230e58c7a46559b0ab239cfe9b6cceb9c2d840f249d58de2fb9222e5de94 | MATLAB | 4,368 | 141 | function varargout = eda_filt(edain, fs, filtin, opendlg, plotOK)
% EDA_FILT Electrodermal Activity (EDA) filters
% [edaout filtout] = EDA_FILT(edain, fs, filtin, plotOK)
%
% Required input arguments:
% edain - 1-by-n vector of EDA samples
% fs - samplig frequency (Hz)
%
% Optional input arguments:
... |
4f63d1e909ea6af339efbc270b5dd9e9c6ddba4b3fc21e4abb25c08bfa3e6601 | MATLAB | 4,371 | 120 | function [P, hw, win_width, Fb] = my_stft_with_conv(x, f, win_width, Fb, fs, plot_cwt)
% Estimate the PSD of x using short-time Fourier transform (STFT).
%
% Inputs
% 'x' the original data samples.
% 'f' the discrete frequency samples (normalized).
% 'win_width' window width, in number of samp... |
5b7830624405f2907c5de3ad262779d97c8fcdfc25ddf36b9d6dd13b8f39e817 | MATLAB | 4,371 | 175 |
%function FM_sweep_testing()
% close all;
handles.RPfile = 'C:\gits\epsych\UserFiles\SanesLab\RPVdsCircuits\KP\FM_sweep_test.rcx';
%Load in speaker calibration file
% [fn,pn,fidx] = uigetfile('C:\gits\epsych\UserFiles\SanesLab\SpeakerCalibrations\*.cal','Select speaker calibration file');
fidx=1;
pn = 'C:\gits\epsy... |
ca817fddd18cd951353e9c435d09ea8272c813d9cbe8d2905c805422ca7457de | MATLAB | 4,371 | 146 | function ModCircleCapture( hFig, hAxes )
%CircleCapture: Spin the target in a circle taking pictures
FrameNumber = 0;
NumFrames = 360;
tilt = 0;
angle = 0;
step = 1;
%Figure out where the camera should be when circling the target
view(0,90);
camva('auto');
view(0,90... |
952860d6a405f1765e91bc12384d8dfb88863636f9df46a44dd982e9a80d6b23 | MATLAB | 4,373 | 99 | function epsych_printBanner(banneridx)
% ep_printBanner
%
% Print text EPsych banner and a link to the online manual
%
% daniel.stolzberg@gmail.com 8/2016
m{1} = [...
' _____ ____ _ '; ...
' | ____|| _ \ ___ _ _ ___ | |__ '; ...
' | _| | |_) |/ __|| | | | / __|| ''_ \ '; ...
' | |... |
4012b8f128f43f7bd861b5dbda7e5c93c396669db9888ed697476a9cef6aa007 | MATLAB | 4,377 | 118 | function step3aa_plot_validation_size_animacy(bids_dir, varargin)
%% Function that plots the results of the animacy & size validation analysis
%
% @ Lina Teichmann, 2022
%
% Usage:
% step3aa_plot_validation_size_animacy(bids_dir, ...)
%
% Inputs:
% bids_dir path to the bids... |
abeb86819e5dff71677997a0874a5708e4b886b6db97a637849fde74e76f5707 | MATLAB | 4,377 | 106 | % Package GMLM_dmc for dimensionality reduction of neural data.
%
% References
% Kenneth Latimer & David Freeedman (2021). Low-dimensional encoding of
% decisions in parietal cortex reflects long-term training history.
% bioRxiv
%
% Copyright (c) 2021 Kenneth Latimer
%
% This software is distributed unde... |
b656c9ea60185aa1ace5910ba74455dc1477194a0ed82a293e85ec10cb27e2b3 | MATLAB | 4,379 | 151 | % PURPOSE : This function is to examine if the parameters are the same across different MVPCsets
% FORMAT :
%
% [serror, msgwrng] = f_checkmvpc(ALLMVPC,MVPCArray)
%
% INPUTS:
%
% ALLMVPC - structure array of MVPC structures (MVPCsets)
% MVPCArray - index(es) of MVPCset(s) e.g. 1:5
% Au... |
df23aaf79f3a95c674a6936c7d47ace7b578fdc51f98278d1046d956376b5599 | MATLAB | 4,382 | 93 | function [RTs, RTsBaseline] = PPSData(patient, filenames)
RTs = [];
RTsBaseline = [];
numberConditions = 2;
delimiterIn = ' ';
tmax = 1.5; % max time over which RTs are considered inconsistent data
SDlimit = 2; % number of SD with respect to mean after which a data is considered outlier
... |
46dfdc32adfa24a1aab76f99e6a3b5773c2053234fd67419d891e477a9e35f16 | MATLAB | 4,384 | 158 | function model = qtip_data2fit_SDPdcm(model,signal,bten,varargin)
% function qtip_data2fit_SDPdcm()
%
% flag is for define output size:
% flag = 1 -> m is [nvox*28,1] (default);
% flag = 0 -> m is [28,nvox]
nmeas = size(bten,1);
% retrieve opt... |
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