sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
01b73f62ed60c467f951f85985d5616ecd7b12f8e58bae648e31dfa950521882 | MATLAB | 8,861 | 202 | % Function for calculating smoothed estimates of firing rate by optimised kernel density smoothing. Wrapped up to run on Blue Crystal once for each of HP and PFC brain areas. Also contains a block of code to calculate FR for error trials.
%
% (c) 2014 Daniel Durstewitz, Bernstein Center for Computational Neuroscience... |
69fb7bf7a128bc0bfefba3f94a119580dd2909685847f9d518043453b977b09b | MATLAB | 8,862 | 301 | % PURPOSE: Creates a .xls version of the ERPLAB's EVENTLIST structure
%
% FORMAT:
%
% [EEG EVENTLIST] = f_creaeventlist_excel(EEG, EVENTLIST, lfname, wf)
%
% Inputs:
%
% EEG - input dataset
% EVENTLIST - ERPLAB's EVENTLIST structure
% lfname - full filename of EventList file to save (*.txt)
% wf ... |
3ab86d757124a83322ce6f37617b17c0d400fe9daf13f9b25e5e6b7bf29a6541 | MATLAB | 8,910 | 282 | % %%%%%% PREAMBLE %%%%%%
clear
Delays_ = {'Short','Medium','Long'};
Target = 'LONG';
Areas = {'PFC','HP','Joint'};
bw=0.05; tlimsAll = [-5 5]; tbAll = tlimsAll(1):bw:tlimsAll(2);
maxRange=20; % Upper limit of assembly size to explore
noTrials = 5; % How many trials to consider simultanrously
nReps = ... |
a98daae8aebbc7c50f02a9c975537b412aff65f2afd1054f308d3fd32601957b | MATLAB | 8,915 | 223 | classdef ( Hidden, Sealed ) ChildObserver < handle
%uix.ChildObserver Child observer
%
% co = uix.ChildObserver(o) creates a child observer for the graphics
% object o. A child observer raises events when objects are added to
% and removed from the property Children of o.
%
% Se... |
63ec265bee5c40a14ef550f904b7cbc4a5c420907fdae8d4a575789d14a99b98 | MATLAB | 8,924 | 218 | function homog_problem = homogeniseFull2DProblem(problem, Ax, Ay, boundary_type)
% This function takes an input problem, then uses block homogenisation to
% reduce its number of mesh points. Ax and Ay are the number of smaller
% elements (in each direction) to absorb into the larger elements. In the
% current code, Ax ... |
697cee91f03c9dcf412769dcf1350ce7274869fc2abc2e93afda5f950a2fafce | MATLAB | 8,944 | 359 | function Example_dynamics
% Script recreates figure 2 from the manuscript. This provides example dynamics to 2
% subjects using simulations obtained from applying the SOEA20, SOEA45,
% MOEA20 and MOEA45 to resting control EEG data.
%%
FS1 = 7; % fontsize
M1 = 13; % define subject1 to analyse
M2 = 4; % ... |
be37163052ea453eea6dd3b504e7781bdbed2c47adcb746fb343485f29f962e7 | MATLAB | 8,954 | 213 | %% Convert "continuous" data from OH/OHA/TOH/TOHA into events and objects.
% By going through the frames that have been captured at 200 Hz, this
% function extracts the relevant events and objects to reduce file size
% while allowing all the necessary analysis.
% Copyright (C) 2022 Richard Hugh Moulton
%
% This p... |
5374b02e6c26c6e2c14628347e05205357bf3e790f671176c33549c02e6a7224 | MATLAB | 8,957 | 284 | % PURPOSE : Export EEG eventlist to text file
%
% FORMAT :
%
% EEG = pop_exporteegeventlist( EEG, elname )
%
%
% INPUTS :
%
% EEG - eeglab dataset
% Elname - file output
%
% OUTPUTS :
%
% .txt - Text file 'elname.txt'
%
%
% EXAMPLE :
%
% EEG = pop_exporteegeventlist( EEG, '/Users/etfoo/... |
68608b240887245bb62e7b9aafa830b77e0c1fb59bde98e5e63ef0af4e5a3ef1 | MATLAB | 8,974 | 275 | % PURPOSE : Reads an event list from a text file and creates an EVENTLIST structure.
% The EVENTLIST structure is attached to the EEG structure.
%
% FORMAT :
%
% EEG = pop_importeegeventlist(EEG, ELfullname, repEL)
%
% INPUTS :
%
% EEG - eeglab dataset
% ELfullname - name of eventlist ... |
ba2e3589a7dcc75bb18cba1aa3670483a63ec141d9a07adc30650ea3323a4a40 | MATLAB | 8,979 | 347 | function f = DB_FRA_Analysis_GUI(a,~,c)
if nargin == 0 || (nargin == 3 && isempty(c))
unit_id = getpref('DB_BROWSER_SELECTION','units');
end
if nargin == 1 && ~isempty(a)
unit_id = a;
end
if nargin == 3 && ~isempty(c)
unit_id = c;
end
h = DrawGUI;
h.unit_id = unit_id;
h.spiketimes = DB_GetSpiketimes(un... |
d0fa11c95c7efd6952a68cd9c0985dce3873a9cfb88afc5cad35d5615a695e93 | MATLAB | 8,980 | 273 | % PURPOSE: pop_editdatachanlocs.m is to edit the channel locations
%
%
% FORMAT :
%
% pop_editdatachanlocs(ALLEEG, CURRENTSET, parameters);
%
% ALLEEG - structure array of ALLEEG/ERP structures
% CURRENTSET - Index for current EEGset/ERPset
% The available parameters are as follows:
%
%ChanArray ... |
e96cc4837972a71b86ee3e087b8bb6aa704b208aa47072a4f1f67402670f5fd1 | MATLAB | 9,033 | 223 | % fdr_bh() - Executes the Benjamini & Hochberg (1995) and the Benjamini &
% Yekutieli (2001) procedure for controlling the false discovery
% rate (FDR) of a family of hypothesis tests. FDR is the expected
% proportion of rejected hypotheses that are mistakenly rejected
% ... |
edf38d7384a5cdef12ac664cbac9c2a2d527ee5af4ebd5e459c1083fc7216021 | MATLAB | 9,033 | 201 | function p = logLikelihood(data,options,alpha,beta,lambda,gamma,varscale)
% the core function to evaluate the logLikelihood of the data
%function p=logLikelihood(data,options,alpha,beta,lambda,gamma,varscale)
% Calculates the logLikelihood of the given data with given parameter
% values. It is fully vectorized and cont... |
2289f2e0d9ea73919b19fcd134caba63423ff9bc3a55b76c4cc0dd1562034096 | MATLAB | 9,056 | 240 | function ve_edit(varargin)
%% ONLY FOLLOW THROUGH IF THE CURRENTOBJ IS NOT ESPACING OR EPOSITION...
% Get the figure and axis userdata...
udf=get(gcf,'userdata');
uda=get(gca,'userdata');
h_eegaxis=findobj('tag','eegaxis','parent',gcf);
h_espacing=findobj('tag','ESpacing','parent',gcf);
h_eposition=findobj('tag','EP... |
ceaac233d515ee0e1bfa70a0d1de75d6897a590d471729dabd582d9cc98a91c3 | MATLAB | 9,071 | 254 | % PURPOSE : To recover bin descriptor file from EEG or ERP
%
% FORMAT :
%
% pop_bdfrecovery(data)
%
% EXAMPLE :
%
% pop_bdfrecovery(EEG) (save as GUI will appear)
%
% Or
%
% pop_bdfrecovery(ERP) (save as GUI will appear)
%
% INPUTS :
%
% Data - EEG- if recovering bin descriptor fil... |
f536df514344da6036f4f82657865b16e0e7bdfe04a5636014fe3e723171a790 | MATLAB | 9,077 | 248 | function plot_cross_variable(model, epi, endo, electrode, activeSites, iActiveSites, fibers, variable, args)
arguments
model, epi, endo, electrode, activeSites, iActiveSites, fibers, variable,
args.?CrossPlotProps;
end
args = CrossPlotProps(args);
log = model.getLogger('general');
figure;
hold... |
0d6d7b7001074f7662ce192e96904cfa9637297a4b24ba5f69dafca47e6adb2f | MATLAB | 9,081 | 193 | %
% Script that aggregates data into one output file, containing:
% - participants details (name, session, runs, age)
% - electrode information with destrieux labels
% - detected N1 responses
% - Freesurfer labels for stimulation and recording pair
%
% Note: the subjects and runs that will be includ... |
ae87c652f0578c3305ccfacb081a46fa7f196f7bae06e65b1b2eed3b97ae9210 | MATLAB | 9,085 | 194 | % quality control for factor analysis detected assemblies
%
% Aleksander PF Domanski PhD UoB 2015
% aleks.domanski@bristol.ac.uk
clear all
close all
target= 'PreSleep';
if ispc
home = 'C:\'; % [getenv('HOMEDRIVE') getenv('HOMEPATH')];
pat = [home 'Analysis\AssemblyAnalysis\Sleep'];
separator='\'... |
e2ff1c64dcafdf3f14ee62f2acf1be3277e987b2ed3d301a5a93e940e3bf4c23 | MATLAB | 9,085 | 319 | function [stats,st] = SStat_mass_CoxStratPH(X,z,d,t,Y,maskvtx,prs,e)
% [stats,st] = SStat_mass_CoxStratPH(X,z,d,t,Y,maskvtx,prs,e)
%
% Vertex/voxel-wise parameter estimation for the Stratified Cox proportional
% hazards model. Survival time ties are handled using Efron's method.
%
% Input
% X: Design Matrix with the t... |
3c1b4037efa4b18e59fa33d4a512a88ef07cd51f900978bdf6297e6f736666e6 | MATLAB | 9,115 | 317 | function plot_gc_synthetic_vs_lag
% For synthetic data with true underlying interaction network,
% we ask the question, how does the time lag used in the GC analysis
% change the resulting network.
% This is to plot figure 2.FGH in the manuscript.
%% 1. Initialize the network
nNodes = 10;
maxLags = 3;
params.maxLags =... |
6f5435a7b5ef10dfe6c61a8ed455d21e27c080d0e179f6f1ad0a59796f579081 | MATLAB | 9,120 | 222 | function varargout = ResultsGUI(varargin)
% RESULTSGUI MATLAB code for ResultsGUI.fig
% RESULTSGUI, by itself, creates a new RESULTSGUI or raises the existing
% singleton*.
%
% H = RESULTSGUI returns the handle to a new RESULTSGUI or the handle to
% the existing singleton*.
%
% RESULTSGUI('CALL... |
3e94e773d4ad493b959a9c4965df75078081f4d0b786ca0c46a0d94e0021dc4b | MATLAB | 9,153 | 281 | % Main script to filter data, calculate optical flow, find patterns, and
% view results
%
% This will probably be changed to a function later, but is currently a
% script for ease of testing.
%
% Required variables:
% - LFPs: X x Y x TIME x REPETITION matrix representing some
% oscillatory recording data. If dat... |
2212942c7e62827b14b553f17a21d82f3dd8b79a7cc345b1bf18dcac0560de14 | MATLAB | 9,157 | 302 | classdef Container < handle
%uix.mixin.Container Container mixin
%
% uix.mixin.Container is a mixin class used by containers to provide
% various properties and template methods.
% Copyright 2009-2024 The MathWorks, Inc.
properties( Dependent, Access = public )
Contents % ... |
c599c04bfc1731d06e02a50878fe61b1c4934b1a2f369e5e290d4f43f9b97b34 | MATLAB | 9,169 | 278 | % %%%%%% PREAMBLE %%%%%%
clear
Delays_ = {'Short','Medium','Long'};
Target = 'LONG';
Areas = {'PFC','HP','Joint'};
bw=0.05; tlimsAll = [-5 5]; tbAll = tlimsAll(1):bw:tlimsAll(2);
maxRange = 20; % Upper limit of assembly size to explore
noTrials = 5; % How many trials to consider simultanrously
nReps ... |
5f29c64e0c6ece85c94a5b36571628dfd8a4f619cee12a9a557e838335cf426b | MATLAB | 9,195 | 141 | %%This function is to create ERP Tab
% Author: Guanghui Zhang & Steve J. Luck
% Center for Mind and Brain
% University of California, Davis
% Davis, CA
% 2024
function EStudio_gui_erp_totl = EStudio_decode_Tab(EStudio_gui_erp_totl,ColorB_def)
global observe_DECODE;
addlistener(observe_DECODE,'Reset_best_panel_chan... |
a8237322974cba78dd72d2b3a9ed3b289ade18e502804977f6d5ca042a8cc22b | MATLAB | 9,207 | 312 | %%this function is used to call back the parameters for plotting ERP wave
% *** This function is part of EStudio Toolbox ***
% Author: Guanghui Zhang & Steven Luck
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% Nov. 2023
function OutputViewerparerp = f_preparms_mtviewer_erptab(ERP,matla... |
4ea8ff716dd146df13287bd29dde4dab820282b4aa340571bf9214adf39d1394 | MATLAB | 9,209 | 304 | % fresh start
clearvars
close all
%% run config
config_file='config_mammals_1.m';
addpath(strcat(pwd,'/config'))
run(config_file);
%% setup vars
thr_vals = [ 0 0.05 0.1 0.15 ] ;
filename = [ DD_INTERM '/' OUTSTR '_divergences_n_outlierdetect.mat' ] ;
divo = load(filename) ;
ff = [ PROJ_DIR '/reports/lab_meeting/... |
331e612f1f9fbd73f21533cd251140358362d9d45e198ab84b6ca9f562dda08a | MATLAB | 9,217 | 314 | % Fig7_fg
% Code to generate SUA examples to optogenetic stimulation and V6
% from Monkey D
% load data
addpath data
load('Fig7_fg_data','tr', 'cfg', 'clu','wfm', 'templates', 'winv', 'timeLEDe', 'ledSignal')
cfg.stimTime = 0.25;
%% unwhiten all waveform templates and calculate amplitudes and depths
templatesUnW = zer... |
349cbe02a6099100710246a9f93e17b56cbe19bc1cd5a19d4e8289cf45a6f0d6 | MATLAB | 9,229 | 244 | function varargout=sigstar(groups,stats,nosort)
%% This function has been adopted and edited from a matlab file exchange function. The original function is freely avalibale at the following: "https://www.mathworks.com/matlabcentral/fileexchange/39696-raacampbell-sigstar".
% sigstar - Add significance stars ... |
82ac254ba634e5d841f82574943326b1015d3bf436d0e12605c26e7c5857ba4f | MATLAB | 9,234 | 205 | function [n1_peak_sample,n1_peak_amplitude] = ccep_detect_n1peak_ECoG(average_ccep,good_channels,params)
% Function for detecting the the N1 peaks of CCEPs
% INPUTS:
% - average_ccep
% array with averaged signals
% - amplitude_thresh
% Threshold factor that needs to be exceeded to detect a peak as
% significant... |
4c04984ccc41e031e461e1d321929e795e3db9b0fa8cf19d201cd16a77015fc8 | MATLAB | 9,281 | 262 | function varargout = savemyeindicesGUI(varargin)
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @savemyeindicesGUI_OpeningFcn, ...
'gui_Output... |
5c72c3110cd995efacf9614b75b9b3153fa129daad436fb8addeb1c2b90d5075 | MATLAB | 9,321 | 308 | % Script to find all patterns in a sequence of velocity vector fields and
% display some of their properties
%% Fig 4a
% plot vfs in certain space
interval=1;
%raw
rawmatrix=zeros(size(cortexMask,1),size(cortexMask,2));
for i=1:interval+1:size(cortexMask,1)
rawmatrix(i,:)=1;
end
%figure;imagesc(rawmatrix)
%colum... |
7f2ec78e0ce3a227d9baf62923be16c92a28e816a1c1ef7d469dd0cff779c337 | MATLAB | 9,322 | 286 | %write trial information to .text or .xls file
function eegcom = pop_eeg_save_trial_information(ALLEEG, varargin)
eegcom = '';
if nargin<1
help pop_eeg_save_trial_information
return
end
if nargin==1
if isempty(ALLEEG)
msgboxText = ['pop_eeg_save_trial_information: ALLEEG is empty!'];
... |
28c303f703195434b4a29ae0c89e9edc5b157a45fc76e5f814f39af50be31c25 | MATLAB | 9,346 | 268 | function [outputEEG, commandHistory] = pop_erplabInterpolateElectrodes( EEG, varargin )
%pop_erplabInterpolateElectrodes In EEG data, replace specific channels through interpolation with the option to ignore specific channels
%
% FORMAT
%
% EEG = pop_erplabInterpolateElectrodes(EEG, replace_elecs, ignore_elecs)
%
% ... |
2c52a64573600331a465b44952a06f43b69c68ec95f676f9986924f854ae251a | MATLAB | 9,372 | 116 | % 1 POTENTIAL ISSUE- SEE CAPITALIZED COMMENT
%
% CALL_TO_NIDAQ(app,command,varargin)
%
% Function that is called whenever the computer needs to interact with the
% NIDAQ. The call to the NIDAQ may be: generating an (audio-visual) signal,
% or some command (such as initializing the NIDAQ, stopping the current
% signal, ... |
e8b34c5058fb363b9c74a0405616d44dc4a86c10799dc89f5d0f6f292e95c330 | MATLAB | 9,377 | 404 | function SaveBehaviorSessionData
%---Script that analyzes behavior data from AM Rate Discrimination Task.
%Created 12/01/2017 JDY.
%1) Click Run ("Play" button)
clear all
close all
clc
%---Load Data---%
[f,p] = uigetfile;
file = [p f];
session = inputdlg('Session #');
Session =... |
94cd83a7eee38328b613ad2a85352cf34f32e41effb87e231799edd0a7732055 | MATLAB | 9,390 | 262 | function [NextTrialID,LastTrialID,Next_trial_type,varargout] = ...
select_trial_SanesLab(initial_random_pick,nogo_indices,go_indices,...
LastTrialID,remind_row,trial_type_ind,TRIALS,varargin)
%[NextTrialID,LastTrialID,Next_trial_type,varargout] = ...
% select_trial_SanesLab(initial_random_pick,nogo_indices,go... |
d87eb174acf71369028b059a4a94318f5f21972f14acaa02bc54b5dd6443ea63 | MATLAB | 9,398 | 236 | % PURPOSE : Get the legend and bindata and binerror data for single and mutiple ERPsets
%
% FORMAT :
% f_geterpdata(ALLERP,ERPsetArray,orgpar);
%
%
% INPUTS :
%
% ALLERP - structure array of ERP structures (ERPsets)
% To read the ERPset from a list in a text file,
% replace ... |
b47c3dffd043c36e9047e3b442fc12c3a507bee3776d175afb3205ce938fd26e | MATLAB | 9,399 | 314 | %
% Author: Javier Lopez-Calderon & Steven Luck & Guanghui Zhang
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2009 & 2022 & 2023
%b8d3721ed219e65100184c6b95db209bb8d3721ed219e65100184c6b95db209b
%
% Copyright (C) 2008 Javier Lopez-Calderon & Steven Luck,
% Center for Mind and Brain... |
df2fcd70c6574348af3f695befd3a5a802b32d2f7208464df2197190e760ffe6 | MATLAB | 9,400 | 290 | %write trial information to .text or .xls file
function erpcom = pop_ERP_save_trial_information(ALLERP, varargin)
erpcom = '';
if nargin<1
help pop_ERP_save_trial_information
return
end
if nargin==1
if isempty(ALLERP)
msgboxText = ['pop_ERP_save_trial_information: ALLERP is empty!'];
... |
badaed464855524ced340a5c6e5b6b0de81f9282aaa437ba91e4e7cf57e4d7c9 | MATLAB | 9,409 | 328 | clc; clear; close all
Fig2b=figure();
%spike-triggered average
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
yline(0,'-k','Linewidth',2)
hold on
xline(0,'-k','Linewidth',2)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%parameters (see Model_Learning.m )
N_... |
363c2e9d68edbf262cc7663a3c1eb978e3487dbea7003dc451d0b4ba8fdd5da0 | MATLAB | 9,413 | 256 | % PURPOSE : Taking N separate ERPsets, systematically computes grand averages on subsamples of N-1 ERPsets.
% This means, each grand average has ommited 1 (different) ERPset.
%
% FORMAT :
%
% ERP = pop_gaverager( ALLERP , Parameters);
%
%
% INPUTS :
%
% ALLERP - structure array of ERP structu... |
d6b0e448682a3923e6902c2a1267e667bcbbfa418a758968724e77485f896c75 | MATLAB | 9,413 | 348 | %%
rootdir = getpref('ICA_GROUPCORR','rootdir',pwd);
if ~isempty(rootdir), setpref('ICA_GROUPCORR','rootdir',rootdir); end
mask = 'C:\MATLAB\work\Plugins\MRI\spm12\canonical\cat_brain_mask.nii';
Psa = spm_select([1 inf],'image','GroupA: ICA components for Group A...', ...
{},rootdir,'.*sub.*component_ica.*.nii');
... |
6d59a23a064c1a54d967e0a9ab01208b3e60b905a4d82e1352319e2172dccbcb | MATLAB | 9,420 | 309 | % Fig7_de
% Code to generate SUA examples to optogenetic stimulation and V6
% from Monkey A
% load data
addpath data
load('Fig7_de_data','tr', 'cfg', 'clu','wfm', 'templates', 'winv', 'timeLEDe', 'ledSignal')
%% unwhiten all waveform templates and calculate amplitudes and depths
templatesUnW = zeros(size(tem... |
e88bf7e128086cd3b0bd3f2a6dc66bea094f8660144dfb91f74176abd909ad38 | MATLAB | 9,442 | 211 | % 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... |
90ea9a9b467377b30ec273525f901ed1fd5fc9ffdac143308c1b81e0359bd5eb | MATLAB | 9,443 | 273 | function varargout = eventlist2erpGUI(varargin)
% EVENTLIST2ERPGUI M-file for eventlist2erpGUI.fig
% EVENTLIST2ERPGUI, by itself, creates a new EVENTLIST2ERPGUI or raises the existing
% singleton*.
%
% H = EVENTLIST2ERPGUI returns the handle to a new EVENTLIST2ERPGUI or the handle to
% the existing ... |
71fd5ee055e7ad51c51464b000e255cac6b9fef6cb6efc0e562433cc8049c458 | MATLAB | 9,459 | 246 | function recruitment_bipolar(model, cathode, anode)
format longeng;
simStart = tic;
log = model.getLogger('recruitment');
%% Parameters
MRG = model.load_MRG_coeff();
nbNod = model.params.nbNod;
nbSeg = model.params.nbSeg;
start = model.params.start;
stimDur = model.params.stimDur;
deltaQnC = model.params.de... |
cc6c62c2ecd4032373cd3b51baf0a713058e6be893b0272b6638e0ae402c65e8 | MATLAB | 9,474 | 275 | %% A quick and dirty diagnotistic script to check log likelihood derivatives to make sure the optimized CUDA code is actually working. Runs through a bunch of setup scenarios.
% I've occasionally noticed failures that are due to a random dataset/parameters being numerically unstable (exploding values). This doesn't mea... |
07de2d67248982eac162c58cd15c780669baf125b891bcb816f17d523bb450b2 | MATLAB | 9,525 | 248 | function artifactscantool_plot_layout(layout, varargin)
% FT_PLOT_LAYOUT plots a two-dimensional channel layout
%
% Use as
% ft_plot_layout(layout, ...)
% where the layout is a FieldTrip structure obtained from FT_PREPARE_LAYOUT.
%
% Additional options should be specified in key-value pairs and can be
% 'chanindx'... |
67d0ad4e05c268c686a5222cc13dfb2f62cff9e04d6be56252d5f725f368eb2f | MATLAB | 9,560 | 237 | function RUNTIME = ep_TimerFcn_RunTime_TwoInterval_SanesLab(RUNTIME, AX)
% RUNTIME = ep_TimerFcn_RunTime_SanesLab(RUNTIME, RP)
% RUNTIME = ep_TimerFcn_RunTime_SanesLab(RUNTIME, DA)
%
% SanesLab RunTime timer function
%
% Daniel.Stolzberg@gmail.com 2014. Updated by ML Caras 2015
% Updated by JD Yao 2016
global GUI_HA... |
6d3fa1c44e3c4ddc741200dfacce971c04df0a7803c4e630741dff0425fa0ff9 | MATLAB | 9,564 | 234 | function tplinescandriftexplorer (varargin)
% TPLINESCANDRIFTEXPLORER - Explore the effect of XY drift on linescans
%
% TPLINESCANDRIFTEXPLORER('DIRNAME', DIRNAME,...
% 'RASTERIMAGE', RASTERIMAGE, ...
% 'LINESCANPOINTS', LINESCANPOINTS, ...
% 'UNCORRECTEDLINESCANIMAGE',UNCORRECTEDLINESCANIMAGE,
% 'DEFAUL... |
9b6a465e0a6f1cc73e55ad33fde50858f1026226ea1057f769ef28e417afc7f6 | MATLAB | 9,595 | 261 | %% demo_004: Priors
% This demo covers how we set the priors for different situations.
% This gives you effective control over which parameters of the
% psychometric function are considered for fitting and all confidence
% statements.
% There is no way to do Bayesian statistics without a prior.
%% Staying with the sta... |
2bf31b1721acda5a0da06952dfcd783de775e9cd48e091212bdecfd1bd5c4ac7 | MATLAB | 9,634 | 297 | function [] = plot_heatmap(fig_name, x_vec, y_vec, all_data, cmap, ...
label_str, y_label, x_label, varargin)
% Display a colormap.
% used in TSL_fit_on_ratings.
clim_val = NaN ; % for the heatmap (+ hc if hc_lim not specified)
hc_lim = NaN ; % for the hc only
filename = NaN ;
map_opt = ... |
d0dc17ce4d3aca0587a4bfb827e6a54280bc85f5b6f50448c6d12d02f93d6c4c | MATLAB | 9,634 | 306 | function [stats,st] = lme_mass_fit_Rgw(X,Zcols,Y,ni,Th0,Rgs,Surf,fname,...
Dtype,sptm,prs,e)
% [stats,st] = lme_mass_fit_Rgw(X,Zcols,Y,ni,Th0,Rgs,Surf,fname,Dtype,sptm,prs,e)
%
% Region-wise linear mi... |
d29a6cba4a790d48460bb48aad3f47eb00f4a1829f0d6a5b1d6aadfe191c63dd | MATLAB | 9,649 | 386 |
Test1XZ = [ 0 0 -.5;
-1 0 .5;
1 0 .5;]
Test1XY = [0 -.5 0;
-1 .5 0;
1 .5 0;];
Test2XZ = [6 0 -1;
4 0 1;
8 0 1];
Test2XY = [5 -1 1;
3 1 0;
7 1 0;];
Test3XZ = [6 0 -1;
... |
98c74ef2a9d0360d1e1b0653d54ef995c06ea39b5caf012a4dafb864a57c5542 | MATLAB | 9,660 | 300 | % PURPOSE : Combine bins within a BEST file. Outputs BEST file with
% combined bin appended at the end of BESTset.
%
% FORMAT :
%
% >> [ALLBEST] = pop_combineBESTbins(ALLBEST,parameters);
%
% INPUTS :
%
% ALLBEST - input ALLBEST dataset
% BESTArray - index(es) of selected best... |
6bab47e1381e2a5782d0594dbefb2b6f17e49cdee334d184394b208b1dc6a699 | MATLAB | 9,662 | 229 | clear
Targets = {'SHORT','MEDIUM','LONG'};
Delays_ = {'Short','Medium','Long'};
Delays__ = {'4s','8s','16s'};
Dirs = {'Left','Right'};
bw=0.05;
pat = 'C:\Analysis\AssemblyAnalysis\raw';
cd(pat)
fileList=dir('allTimestamps\*LONG*.mat');
Areas = {'HP','PFC'};
tlimsSample = [-5 5];
tlimsChoice = [-5 5];
... |
d0bbc91a457fc7aaafaa4edfede86674d78bb3c347c7e1dd47d71c16b4c9b7e4 | MATLAB | 9,683 | 262 | function NextTrialID = TrialFcn_AversiveAnimalTrig_TrainTest(TRIALS)
% NextTrialID = TrialFcn_AversiveAnimalTrig_TrainTest(TRIALS)
%
% June 2015 RosenLab
% This is a modified trialfcn designed to run with FwdMask_AnimalTrig_ExpReady.prot
% It uses the custom boxfig GUI CondAversiveGUI.m, which has buttons to
% speci... |
f928741238fb12ee66920eec996c5ead83cfa726d5da8eb4d1117138408630a2 | MATLAB | 9,686 | 195 | function [QUIQI,Folders]=PrepAnalysis(Subject_Details_All,lambda,DataTypes,Subregions,AnalType)
% Compiles into QUIQI and Folders structures all information required for
% subsequent analysis.
% Also, edits cohort details if necessary (e.g. for Exclusion or Specificity analyses)
% and computes an explicit mask for... |
2419628a1b5f57e778c447e2720564fc613075689f4e75ea859870c15391a588 | MATLAB | 9,702 | 236 | function [K, M, mesh] = encodeProblem(occ_map, D_tensor, Vfrac, grid, alpha)
% This function calculates the stiffness and mass matrices associated with
% the input information regarding the mesh (including what sites are
% occupied, and the diffusivities and volume fractions)
%%% LOTS OF SETUP
% Read out the individ... |
8c4dad5aaf9b759d36019587e5083819e5c96c5c54020dda699f83407e8c2eb9 | MATLAB | 9,711 | 273 | clear
Delays_ = {'Short','Medium','Long'};
tlimsPoke = [-5 5];
bw=0.05;
warning ('off')
pat = 'C:\Analysis\AssemblyAnalysis\raw';
cd(pat)
%%%%%
fileList=dir('allTimestamps\*.mat');
iFile =6;
Areas = {'HP','PFC'};
iArea =2
%%%%%
fname=strtok(fileList(iFile).name,'_');
load(sprintf('%s\\allTimestamps\\%... |
981bb3f174fa2b81f65a1cab075b39938acfafc49424b9915c7a2525d42e12c9 | MATLAB | 9,711 | 253 | function [MVPC, serror, msgboxText] = mvpcaverager(ALLMVPC, lista, optioni, mvpcset, nfile, stderror,warnon)
%Only averages across decoding accuracy per subject (SVM 1vall).
%Does not yet average across SMV (1v1) and Crossnobis Distance.
serror = 0 ;
msgboxText = '';
%Reads in the correct ALLMVPC set
ds = 1;... |
f6d8be4e46b3649591eb7290bce94491eabfd3d243e49576771007ab432cfcda | MATLAB | 9,715 | 270 | %% %%%%%% PREAMBLE %%%%%%
clear
Delays_ = {'Short','Medium','Long'};
Delays__ = {'4s','8s','16s'};
Target = 'LONG';
tlimsAll = [-5 5];
tlimsShort=[-4 10];
tlimsMedium=[-8 10];
tlimsLong=[-16 10];
tlimsANOVA = [-4 4];
shift = 0;
plotOnline = false;
bw=0.05;
Nbs = 500;
tbShort=tlimsShort(1):bw:tlimsShort(2);
tbMedi... |
21ccb8e78325153306df7364825e8c899aa9ce245d7aa334a9153ed9ba2d2b20 | MATLAB | 9,718 | 210 | function BurstDetection (peakfolder, end_folder1, end_folder2, end_folder3, nspikes, ISImax, min_mbr, cwin, fs, check)
% Function for producing the Burst Detection files
% INPUT
%
% OUTPUT
%
% by Michela Chiappalone (17 Marzo 2006, 12 Gennaio 2007)
% modified by Luca Leonardo Bologna (10 June 2007) in order to handle m... |
53152c80cdfed0a33d6d6908b0b4a13ec64d130b54f606977f0a51c3315a3a5c | MATLAB | 9,736 | 244 | function conds = eda_conditions(eda, fs, xconds, edr, latency_range, opendlg)
% EDA_CONDITIONS Event related EDR and EDL
% conds = EDA_CONDITIONS(eda, fs, xconds, edr, latency_range, opendlg)
%
% Required input arguments:
% eda - 1-by-n vector of EDA samples
% fs - sampling frequency (Hz)
% xco... |
edbf22e6343ed41fb48255ef6a31f659833bc06a03e2e268dde25e895a2be719 | MATLAB | 9,742 | 195 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Analysis of vigilance state architecture
% Script written: Lukas B Krone 2021 based on previous scripts from the Vyazovskiy lab
%
% INPUT:
% - "-VSspec" files for one EEG channel for each date with a different injection condition (sa... |
b0c80effe594b2d693f9d81964c40856bf0a8ef63267fcda1c04a3e70e22c8e1 | MATLAB | 9,743 | 333 | % PURPOSE: pop_resamplerp.m
% resample ERPsets
%
% FORMAT:
% [ERP, erpcom] = pop_resamplerp( ERP, 'Freq2resamp',Freq2resamp, 'TimeRange',TimeRange,...
% 'Saveas', 'off', 'History', 'gui');
% Inputs:
%
%ERP -ERP structure
%Freq2resamp -new sampling rate e.g., 200 Hz
%TimeRange -new t... |
ca2da7bee96d7f85d0dfbaaa5861c8848e60c8d7f39e732cf0e0079cc38f8f15 | MATLAB | 9,757 | 249 | % Wrapper code: factor analysis assembly detection
%
% (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
%
% Iterates across all animals/files
% runs FAassem_ to make FA models, then BSc... |
94fda9626d1cd9fe2077b433a14d2bf7920298e0706516afde9b389915c7d7a4 | MATLAB | 9,758 | 262 | function NextTrialID = TrialFcn_AversiveAnimalTrig_TrainTest(TRIALS)
% NextTrialID = TrialFcn_AversiveAnimalTrig_TrainTest(TRIALS)
%
% June 2015 RosenLab
% This is a modified trialfcn designed to run with FwdMask_AnimalTrig_ExpReady.prot
% It uses the custom boxfig GUI CondAversiveGUI.m, which has buttons to
% speci... |
ee6d4a51dc3e13a27492e6422cc1a1c08a3ccc0c5f7a83a47b12ae7ad623e26a | MATLAB | 9,765 | 228 |
DA_trans = cumsum(TNC_CreateGaussian(700,100,1000,1)).*3;
figure(4); plot(DA_trans); hold on;
%%
activity = zeros(1,3000)
back_p = exp(([1:numel(activity)]-numel(activity)-3)./25);
figure(900); plot(back_p); hold on
%%
% load ~/'Dropbox (Personal)'/finallatdat.mat
% final_latency.data = final_latency_data... |
f76fa56e183795a3dc879efc29ac446e4eaf8fafe8e4e69c0aa4b57b5438734a | MATLAB | 9,817 | 227 | % PURPOSE : subroutine of pop_exporterplabfigure.m
%
% FORMAT :
%
% ERP = erplabfig2pdf(ERP, figtag, saveasmode, filepath, fileformat, resolution)
%
% INPUTS : NOTE: The plotted figure from ERPLAB must be open.
%
% ERP - input ERPset
% figtag - string. Figure's tag to be included for exporting... |
8fb6e59f552452f15c39eec8e0fd7a0fb237ba464405058aef4e51cd7efa8207 | MATLAB | 9,832 | 211 | % Function for calculating smoothed estimates of firing rate by optimised kernel density smoothing. Wrapped up to run on as a single Blue Crystal job for each of HP and PFC brain areas. Uses Save-parfor to save interim data on each unit as it finishes, rather than waiting until all are finished.
%
% (c) 2014 Daniel D... |
d26c02f9a57f5a6e729b9cd14be7bb9bff3f1e46ae1b682e76a3799174bb7b24 | MATLAB | 9,858 | 304 | function varargout = f_ERP_save_single_file(varargin)
% F_ERP_SAVE_SINGLE_FILE MATLAB code for f_ERP_save_single_file.fig
% F_ERP_SAVE_SINGLE_FILE, by itself, creates a new F_ERP_SAVE_SINGLE_FILE or raises the existing
% singleton*.
%
% H = F_ERP_SAVE_SINGLE_FILE returns the handle to a new F_ERP_SAVE_SI... |
309d1ff2bc5eca09e631c42f1e4ee7e7811538cb0958adb44a0861265baebb34 | MATLAB | 9,859 | 317 | % PURPOSE : Removes epoched EEG baseline
%
% FORMAT :
%
% EEG = pop_blceeg(EEG, 'Baseline', blc)
%
% EEG - EEGLAB structure
% blc - window for baseline correction in msec, or one of the keywords
% listed under INPUTS below
%
% Example :
% >> EEG = pop_blceeg( EEG , 'Baseline', [-100 0]);
% >> EEG =... |
1607c1030b7f1b2c34b82ca8b4dd1a0801dea7acd22bad33eaf42b933e68680b | MATLAB | 9,863 | 226 | function [t_new] = ieeg_labelElectrodesDestrieux(FSdir,electrodes_tsv_name,saveNew,circleradius)
%
% this script labels electrodes based on the Destrieux Atlas from
% Freesurfer
%
% requires vistasoft in the path
%
%%% Preperation step:
%
% Tn the terminal go to the subjects freesurfer folder and type:
%
% mri_conve... |
51bcd6388fc828a680ef83ce1739b060bdc73df07c2a3887a38f44b5cfb51e65 | MATLAB | 9,876 | 204 | function [Dtissue,K_lte,K_ste,sigTissue,sigCSF] = estKurt(sigVals_lte,sigVals_ste,bVals_lte,bVals_ste,D_CSF,sigTissue0,sigCSF0,opt)
%
% Estimate signal fractions of CSF and tissue assuming b-tensor kurtosis model with 2 compartments.
% i.e., free water elimination
%
% sigVals_lte: [N_bval_lte * Nx * Ny * ... |
34b3657353bde9ce16ef6350e505ae32834b2a1cac906af672cab8c37e347298 | MATLAB | 9,895 | 251 | function [rGamma, rAlpha, rBeta, JumpPost, Trans] = ForwardBackward_MarkovJump(s, pJ, pgrid, Alpha0, Pass)
% Forward-Backward algorithm to solve a hidden markov model, in which the
% hidden states are non-stationary transition probabilities controlling
% the observed outcome s.
%
% Given that s is a sequence of binary ... |
24fb4c75afd9de5970b47a7f9c7e8258184433a7278f8f729bb63bdf21bfc766 | MATLAB | 9,905 | 211 | function options = NoRMCorreSetParms(varargin)
% Struct for setting the NoRMCorre algorithm parameters. Any parameter that is
% not set gets a default value
% Author: Eftychios A. Pnevmatikakis
% Simons Foundation, 2016
Names = [
% dataset info
'd1 ' % number of rows
'd2 ... |
c1b51b4f27f52d2fa2e6fadc83840af58f9d10ddfc2f3cbd9011f0882cf6aa4c | MATLAB | 9,956 | 419 | clearvars
setUpPaths
dataPath=[dataPath '/Anaesthesia'];
cd(dataPath);
fileNames = dir('*-SaveEpochedNew.mat');
%%
for len=1:length(fileNames)
processDataAnaesthesia
%%
fs=29.133;
clear ExpectMeaned Sig fano ExpectSE
clear pStore
for expect =1:ExpCond
NewTime = -1/fs*60:1/fs:1/fs*100;
... |
15626b0830c14bc9065e6c1ed5392babe0c8faf4c9fe1327e4c8ca11f4264c71 | MATLAB | 9,984 | 426 | function varargout = DB_QuickPlot(varargin)
% DB_QUICKPLOT MATLAB code for DB_QuickPlot.fig
% Edit the above text to modify the response to help DB_QuickPlot
% Last Modified by GUIDE v2.5 16-May-2013 12:42:17
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename,... |
6b989c4f8245bb13670b72b258ba1fc388f3b3ef3fa41a243815535e4c5cb555 | MATLAB | 9,989 | 357 | % PURPOSE : Save BEST (.mat) file.
%
% FORMAT :
%
% >> [BEST] = pop_savemybest(BEST, parameters);
%
% INPUTS :
%
% BEST - Bin-Epoched Single Trial (BEST) structure
%
% The available input parameters are as follows:
% 'bestname' - BESTname to be saved
% 'filename' - ... |
e4ca523f8ffc2e55ab50d628ac15ee3230a8a5318fffc55736a07e9d436203d8 | MATLAB | 10,001 | 278 | function [] = plotGMLMFit(TaskInfo, paramStruct, bases, R_sample_stim, R_sample_stim_dirOnly, R_sample_stim_catOnly)
if(isempty(which('hosvd')))
error('Requires tensor_toolbox to be in MATLAB path! (for the hosvd function)');
end
for jj = 1:numel(paramStruct.Groups)
if(strcmpi(paramStruct.Groups(jj).name, 'sti... |
ffbcc37de5fe80494e7ecca5be02b4a18068668c51d69291d529874369b55875 | MATLAB | 10,004 | 204 | function [populations] = extractPop(endos, multPop, fascID, ratioR, ratioD)
% EXTRACTREGIONPOP Extract the region where to place the fibers acording to
% the population type and the endoneurium cross-section area
%
%[section_pop] = extractPop(endos, ratioR, ratioD)
%
% Inputs: - endos: cell of matrixes of x, ... |
c85c7b315a5949c215988f3712d183fd09300f488f7201e08a35cc3a5ede76e0 | MATLAB | 10,021 | 295 | function [EEG, commandHistory] = pop_erplabShiftEventCodes( EEG, varargin )
%POP_ERPLABSHIFTEVENTCODES In EEG data, shift the timing of user-specified event codes.
%
% FORMAT
%
% EEG = pop_erplabShiftEventCodes(inEEG, eventcodes, timeshift)
%
% INPUT:
%
% inEEG - EEGLAB EEG dataset
% Eventcodes ... |
67067e4e5e4cdb420dea233eed1b0df4e764c50ab61b346b13fc65768fc32473 | MATLAB | 10,032 | 269 | % PURPOSE : Sends ERPset(s) (from ERPset menu) by email
%
% FORMAT :
%
% pop_senderpbymail(ALLERP, erpindex, mailto, subject, message, attach)
%
%
% INPUTS :
%
% ALLERP - structure array of ERP structures (ERPsets)
% erpindex - index(ices) of ERPset(s) to be attached.
% ... |
14e38bdf351e5446f0269c5590fd718e4af81679ddb3285864fea129a212c8fd | MATLAB | 10,035 | 305 | function varargout = f_EEG_save_single_file(varargin)
% F_EEG_SAVE_SINGLE_FILE MATLAB code for f_EEG_save_single_file.fig
% F_EEG_SAVE_SINGLE_FILE, by itself, creates a new F_EEG_SAVE_SINGLE_FILE or raises the existing
% singleton*.
%
% H = F_EEG_SAVE_SINGLE_FILE returns the handle to a new F_EEG_SAVE_SI... |
c2fe59b25f5a37fa09a2ced84961d6bbe6c9a9c75d42665f98f40856c6b83907 | MATLAB | 10,036 | 210 | % no delay
%
% TTL code
% 9 sample left
% 18 sample right
% 6144 press sample or 6176?
% 32 maglight
% 8219 initiate poke
% 16420 press correct
% -32768 press incorrect
% 32 = reward delivery signal
% 0 reward consumption (Beambreak, triggers lights of... |
5bd041372bc1c15dd53a78e918c716cf7ad16fb8b897762458d4182c3a10b1c8 | MATLAB | 10,049 | 245 | function spikes = ss_detect( data, spikes )
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% ss_detect - Detection of spikes in multi-channel data over multiple trials
%
% Usage:
% spikes = ss_detect( data, spikes )
%
% Description:
% SPIKES = SS_DETECT_SPIKES(data, params) takes a m... |
17c94ded53f94afa1b16cc35520b750f8de7af32261c726419dec573546ebbe2 | MATLAB | 10,057 | 219 | function fibers = project_fibers_inv_square(fibers, ...
cross_z, idCross, idCross_prev, section, section_prev, BranchIndex, fibp, minFiberDist)
% PROJECT_FIBERS Porject the fiber center distribution to the
% next layer in every case
%
% [fiberPop, fiberPos_cur] = project_fibers(fiberPop, ...
% fiber... |
714554b89cbc202274991f631e2e3dd512ecf6298097eaaf2a184ff105e38e92 | MATLAB | 10,065 | 241 | %% Preamble
clear
Delays_ = {'Short','Medium','Long'};
Delays__ = {'4s','8s','16s'};
Targets={'LONG','CP55940','AM251','URB597','physostigmine','scopolamine'}; %,'URB597'
Targets_={'Control','CP55940','AM251','URB597','physostigmine','scopolamine'}; %,'URB597'
Areas = {'PFC','HP','Joint'};
color_={'b','r',... |
4afe06fbcec554ae9dfbfe844dce0d086e117e54f5ba9c0c6656fa7dfeac41e5 | MATLAB | 10,112 | 316 | %
% Author: Javier Lopez-Calderon & Steven Luck
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2009
%b8d3721ed219e65100184c6b95db209bb8d3721ed219e65100184c6b95db209b
%
% Copyright (C) 2008 Javier Lopez-Calderon & Steven Luck,
% Center for Mind and Brain, University of California, Davi... |
56ccdfd05f70b343bd84e5b0ae9fcf984d47ce45ff2cf04bdf57e6ec80d16d11 | MATLAB | 10,118 | 307 | function [uFA,Kiso,Klin,D,sf, uFA_noFWE,Klin_noFWE,Kiso_noFWE,D_noFWE] = uFA_fwe(file, bvals, isIso, maskfile, D_CSF, opt)
%
% Estimate microscopic fractional anisotropy and related parameters with a
% free water elimination approach.
%
% INPUTS
% file: path to NIFTI file containing raw image data
% bv... |
bb509948ddf43b9a3cbcbfe510e9bcca614d99035bbf75befb3d561136c51f23 | MATLAB | 10,125 | 266 | function [data, t,frametimes, roidata] = tpreaddata(dirname, intervals, pixelinds, mode, channel)
% TPREADDATA - Reads twophon data
%
% [DATA, T] = TPREADDATA(DIRNAME, INTERVALS, PIXELINDS, MODE)
%
% Reads data blocks from PrairieView record. TPREADDATA
% allows the user to request data in specific time intervals
... |
7cb2c0b539aa779c93ef53507af3b950d650d4850188ca4f0d9ba8ee56144154 | MATLAB | 10,147 | 291 | function output = fft_registration(buf1ft,buf2ft,usfac,min_shift,max_shift)
% Efficient subpixel image registration by crosscorrelation. This code
% gives the same precision as the FFT upsampled cross correlation in a
% small fraction of the computation time and with reduced memory
% requirements. It obtains an initi... |
7c12748a20659849d3e507fa87cd4dd80b3e095895472eb32c75965a8a29c6e7 | MATLAB | 10,170 | 196 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Analysis of absolute EEG spectra
% Script written: Lukas B Krone 2021 based on previous script
%
% INPUT:
% - "-VSspec" files for one EEG channel for each date with a different injection condition (saline, 1mg/kg CNO, 5mg/kg CNO, 10mg... |
244301554c03ca2f3e68475935df9dae09725fa90cc70e1abec11c6e57f2e0e5 | MATLAB | 10,182 | 255 | function [model,invariants,varargout] = qtiplus_fit(data,btensors,varargin)
% function [model,invariants,varargout] = qtiplus_fit(data, btensors)
%
% This function computes the non-diffusion weighted signal S0, the mean
% diffusivity tensor D, and the covariance tensor C as implied by the QTI
% framework. During t... |
93cc180bd27cd485bc775f1cd97291fa2a66f7f2de9ec57076e3c36e63af6d95 | MATLAB | 10,193 | 327 | function varargout = f_ERP_meas_format_path(varargin)
% F_ERP_MEAS_FORMAT_PATH MATLAB code for f_ERP_meas_format_path.fig
% F_ERP_MEAS_FORMAT_PATH, by itself, creates a new F_ERP_MEAS_FORMAT_PATH or raises the existing
% singleton*.
%
% H = F_ERP_MEAS_FORMAT_PATH returns the handle to a new F_ERP_MEAS_FO... |
3e9b58eb1740c9e6ac2942b12c7c077621b05801ae473fcd7cebed34cd4292ea | MATLAB | 10,209 | 236 | function [p_values, h_mask, p_values_new_n, h_mask_new_n, conf_intervals, ...
test_statistic, cohend] = ...
compute_significance_matrix(all_data, alpha_level, new_n, ...
paired_tests, mean_H0, always_t_test, two_sided, cell_pairwise_comp, ...
angles_in_rad)
% Compute all the paired-significances ... |
510087e4e21e1e0a6c974e39f7e55d4b420a0b153198f0fe0183b51d0295bb44 | MATLAB | 10,228 | 222 | %
% This script collects the metadata, extracts the average CCEPs and detects N1s for all the subjects
%
% Jaap van der Aar, Giulio Castegnaro, Dora Hermes, Dorien van Blooijs, Max van den Boom, 2022
%
%%
% Configure
clc
clear
warning('on');
warning('backtrace', 'off')
myDataPath = setLocalDataPath(1);
% check fi... |
3d99b4a922049efacdd330ab3f77f2272e6664f8a80071ca291b7608a388ab4c | MATLAB | 10,236 | 309 | function Iccs = Iccs_op_me(A, Pjoint)
% calculate redundancy as from pointwise common change in surprise
% use maximum entropy subejct to pairwise predictor-target marginal
% and all predictor marginal constraints
% A - cell array of elements
% Pjoint - full joint distribution
s = size(Pjoint);
Sm = s(end); % number o... |
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