sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
3419c0d02dc86978affef238956b4193ce5517f5beb8f213553bd99800f3c8eb | MATLAB | 3,916 | 123 | function [R,EX,EY,EZ,R2,EX2,EY2,EZ2] = ft_getpos(grad, fid, channels)
% Compute the inputs to TSSS code from Fieldtrip representation of MEG
% sensors and headshape.
%_______________________________________________________________________
% Copyright (C) 2017 Vladimir Litvak based on MNE code by Matti Hamalainen
% and... |
fed6e92c5ea35d9e20cf69fa3469f26fe24e82d5b88c168522de920a11efa670 | MATLAB | 3,928 | 202 | classdef BaseTransformer
%
% WIP in case we need to object oriented
%
% (C) Copyright 2022 BIDS-MATLAB developers
properties
input % cell
output % cell
data % structure
verbose = false % logical
overwrite = true % logical
end
methods
function obj = BaseTransformer(varargin)
... |
c78be1788c35e0345b91fa5432bf1a6e940f4762c9ed7aef7528f33ba77fca3b | MATLAB | 3,936 | 168 |
function [verbose,verboseI,debug,doPlot,maxFunEvals,maxIter,optTol,progTol,method,...
corrections,c1,c2,LS_init,cgSolve,qnUpdate,cgUpdate,initialHessType,...
HessianModify,Fref,useComplex,numDiff,LS_saveHessianComp,...
Damped,HvFunc,bbType,cycle,...
HessianIter,outputFcn,useMex,useNegCurv,precFunc,...
... |
99d4d682d9141f85d83da324e360398e8bc7fe195f2cd1f41faf3c02ee16939a | MATLAB | 3,937 | 114 | function h = plot_gaussian_ellipsoid(m, C, sdwidth, npts, axh)
% PLOT_GAUSSIAN_ELLIPSOIDS plots 2-d and 3-d Gaussian distributions
%
% H = PLOT_GAUSSIAN_ELLIPSOIDS(M, C) plots the distribution specified by
% mean M and covariance C. The distribution is plotted as an ellipse (in
% 2-d) or an ellipsoid (in 3-d).... |
baae7fbf4ef7701c33dc6f3322f218838d980e739b2739fca3229a691aa25ba0 | MATLAB | 3,938 | 56 | %Estimates the significance and amplitude of flicker modulation for each channel and condition, and saves those estimates into tables.
%2024/02/25
function evaluate_ent_degree_relpower(fnames)
%create output folder if it does not exist
if ~exist([fnames.analysis_folder,'/LFP/static_ent'],'dir')
mkdir([... |
c4e8c72cb874671e894f8ec2f7f73fe1be090a8096efc7c81f7934313942c6c7 | MATLAB | 3,939 | 104 | function status = unitTest_BandpassFilt_LPF(datafmt, dirname, newval)
global procStreamStyle
global testidx
global logger
if isempty(procStreamStyle)
procStreamStyle = datafmt;
end
if includes(procStreamStyle,'snirf')
datafmt = 'snirf';
end
if isempty(testidx)
testidx = 0;
end
testidx = testidx+1;
status ... |
7cb3f78a42af4b0e99746ba0df93472986dfc76d19bcb35032e3e8f4fb5a4b6e | MATLAB | 3,943 | 99 | function cfg = create_cfg(BIDS_root, n_subs, n_runs)
%MODULE_CFG Creates cfg.mat for this project
% Detailed explanation goes here
clear cfg
cfg.global.tr_duration = 0.627;
cfg.global.n_slices = 24;
cfg.global.BIDS_root = BIDS_root;
cfg.global.deriv_dir = fullfile(BIDS_root,'derivat... |
cd6044dcf176c4160e4c6023b5765858d25bd208c23629a7dc5317aa08c180d0 | MATLAB | 3,947 | 83 | %% Demo how to create a permutation design
%
% This demo shows how to calculate a permutation analysis.
%
% For this, we need the cfg of the normal design.
% This can
% - either be created new (not shown below, see e.g. the decoding_tutorial)
% - or loaded from the cfg.mat of an already calculated analysis (thats
% ... |
1cbf735275126d838dd1dc9a43e54e492def1b12746b71008cbd13fdf3140787 | MATLAB | 3,950 | 112 | %ACTOGRAM
%
% Descriptions tba
%
% $Author: Peng Li, Ph.D.
% $Date: Jan 01, 2022
% $Modif.: Feb 27, 2026
% Enable invisible instance to allow report generator
%
% +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
% (C) Peng Li 20... |
1f3e000bf774984233490417012feabfec42d919e8171ef7b02903f797ba16e4 | MATLAB | 3,953 | 143 | function Q = MakeQfromS(S,bin,varargin)
% Spike train binning
%
% USAGE:
% Q = MakeQfromS(S, bin,options)
%
% INPUTS:
% S - a cell array of ts objects
% bin - a bin size (in the same time_units as S).
% Bins are generated automatically and begin with first spike occurence
% - an intervalSet obj... |
10aee331f091eaa9962b5e392d5a642d5ee51402d2a63aef5aed0b8fc5e15d62 | MATLAB | 3,955 | 101 | % reference https://www.mathworks.com/help/matlab/ref/animatedline.html#:~:text=Create%20an%20animation%20by%20adding,loop%20using%20the%20addpoints%20function.&text=an%20%3D%20animatedline(%20x%20%2C%20y%20)%20creates%20an%20animated%20line,x%20%2C%20y%20%2C%20and%20z%20.
close all;
% run options
use_hopper_data = 0... |
95a879bb6437ed223e8511506625fc891fff59c955a25d73ea1cf6c35fffe891 | MATLAB | 3,959 | 95 | % This script is a template who want to get an interpretable weight map of their wholebrain
% classifier (i.e. backtransformed pattern aka the "Haufe-method" (see
% Haufe et al., 2014) and is particularly well suited for people who have
% betas available from an SPM.mat.
% If you don't have an SPM.mat available, t... |
21dc7feb27cf9cc4cd45791fea119a07062d10dc82b2dd4e386dd4f297f1bd43 | MATLAB | 3,961 | 122 | %This analysis code was used in:
%Mares I, Ewing L, Papasavva E, Ducrocq E, Smith FW, Smith MLS (in press).
%Face recognition ability is manifest in early dynamic decoding of face-orientation
%selectivity – evidence from multi-variate pattern analysis of the neural
%response. Cortex.
%This code was originally cr... |
1062cf0db27ccf41b3896ad34542e1104184736ec508e38d93fe8534a73e0cc7 | MATLAB | 3,963 | 136 | function voi = bv_readvoi(fname)
% voi = bv_readvoi(fname)
%
% :description
%
% Reads in a BrainVoyager VOI file.
%
% :inputs
%
% fname file to read, e.g. 'myvoi.voi'
%
% :outputs
%
% voi voi structure. List this function to see the field
% names.
%
% :history
%
% 2004.04.16 ... |
c4e2c8b9be3b1eeffc6f57dd93246f4bc04c9a9a2abffcc802f87fefd98ac8e4 | MATLAB | 3,963 | 97 | %% Make Flow Figure Data
function FlowFigureData(fileParams)
%% Start FlowFigureData Script
fprintf('\n\n- - - Starting FlowFigureData - - -\n\n');
%% File Parameters
exportFolder = fileParams.exportFolder;
thetaInDegrees = fileParams.thetaInDegrees;
thetaInRadians = fileParams.thetaInRadians;
fileExportFolder = [expo... |
8689dabd08ea74ad1d47e7f24aa484eadad02ae1ce641b5a908d743c49935e3d | MATLAB | 3,964 | 116 | clear; close all; clc;
%%
FileIdentifier = 'BC';
PathName = uigetdir('\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\BC diversity morphology data\', 'Select the IPL profile folder');
FileNames = dir(fullfile(PathName, '*.csv'));
FileIds = find(contains({FileNames.name},FileIdentifier));
% TypeDistinct... |
049f8f4ec4f0ccf2ee227e1014fb14f59a4f9179c35ba653994bebc4bae1c949 | MATLAB | 3,965 | 103 | function cf = train_liblinear(param,X,clabel)
% Trains a linear support vector machine or logistic regression using
% LIBLINEAR. For installation details and further information see
% https://github.com/cjlin1/liblinear and
% https://www.csie.ntu.edu.tw/~cjlin/liblinear/
%
% Usage:
% cf = train_liblinear(param,X,clabe... |
0e8fd1966f5901207578fec057e8e8d02abeabf67b79702092603e42364b5eb1 | MATLAB | 3,966 | 102 | clear all
load('../data/opt.mat')
role_order = {'p','o'};
for pair = 1:length(opt.participant_pair)
clear player_continuous observer_continuous
fprintf('EEG preprocessing for pair session %d: %s - %s \n',...
pair,opt.participant_pair{pair,1},opt.participant_pair{pair,2})
pair_sessi... |
cab0981dc55e2f588266b4aadee92fd0eac72bee893007c0dab7b48c5c68ae6f | MATLAB | 3,967 | 94 | % This script performs second level of preprocessing after ICA. This level
% of preprocessing includes for instance removing artifacted ICA
% components
% Check if variable Exclusion_Info exists already. If yes, load it.
if exist([output_dir 'Exclusion_Info.mat']) == 2
load([output_dir 'Exclusion_Info'],'Exc... |
a3a1e06013084c3c3aacaf9ce3ce5c7d7124d31050e6d12fa5a9f493b03ae307 | MATLAB | 3,970 | 150 | function [scratch] = train_bp_netlab(trainpats,traintargs,in_args,cv_args)
% Creates a Netlab backpropagation network and trains it
%
% [SCRATCHPAD] = TRAIN_BP_NETLAB(TRAINPATS,TRAINTARGS,IN_ARGS,CV_ARGS)
%
% You need to call TEST_BP_NETLAB afterwards to assess how well this
% generalizes to the test data. See the dis... |
9b6dc9c9ff5d60c87f81c74de031c44bf5aae55ed04ba899f0edaf47e1e5373e | MATLAB | 3,973 | 139 | clear; clc
[task_info, supPath ,~,task_DB_path] = ...
loadDBAndSpecifyDataPaths('Vermis');
PROBABILITIES = [25 75];
OUTCOMES = [0 1];
DIRECTIONS = 0:45:315;
COMP_WINDOW = 0:700;
req_params.task = 'saccade_8_dir_75and25|pursuit_8_dir_75and25';
req_params.remove_question_marks = 1;
req_params.grade = 7;
req_params.... |
a07f71d6b6ca75411c88db223fb0f8f3687224f5358102493981d2c913089a2d | MATLAB | 3,973 | 71 | function [pre_stim_vals,post_stim_vals]=pre_post_time_comp_nopad_210511(table1,table2)
% Tables 1 and 2 should be pre stim and post stim in that order
%if conduction time isnt present in both, drop time and spikes etc
for i=1:length(table1)
[rwtb,~]=size(table1{i});
for j=1:rwtb
time_similar_1... |
5741737a441b5e423a907e9cdbba5852c61df3600d6f2ac897a961a7d83f0e29 | MATLAB | 3,975 | 95 | %This script analyses data from the flickerneuro or flickerfreq task from begining to end.
%2024/02/25
%% Set dataset directory and dependent repos:
[root_dir,repo]=define_flicker_root_dir;
for field_name=fieldnames(repo)'
addpath(genpath(repo.(field_name{:})));
end
%note: can use function fetch_flicker_subjectID... |
f15c03c1774d13e7529d91c358385fd01b815ee8f25ec25d73f8c1dd74e2bf5a | MATLAB | 3,976 | 121 | function Flmr_sum = flm_dipole_script(S)
%rq_depths = [0.04;0.07];
rq_depths = [0.04];
%radii = [0.10;0.12;0.15];
radii = 0.08;
roi_rad = 0.02:0.02:0.08;
Lin = 11;
load dipoles.mat Q RQ;
% Q is primary current and RQ is the position of each dipole
for i = 1:length(rq_depths)
for j = 1:size(RQ,2)
... |
e946158ce2e3ee2466399a3ba4038a1ed79f40e67f876f13cc538b16ab3886ab | MATLAB | 3,978 | 113 | function mix = gmm(dim, ncentres, covar_type, ppca_dim)
%GMM Creates a Gaussian mixture model with specified architecture.
%
% Description
% MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
% DIM, the number of centres in the mixture model and the type of the
% mixture model, and returns a data str... |
830f0aa136540ccaa4bec6d1a8d6b21f90ada2318b6b7e286328d061e80d1671 | MATLAB | 3,985 | 134 | %% Wave Clus Output Plotting
% load both the raw data and times files manually
%this is for wells
clc
close all
%% loading
current_program=dbstack();
current_program=current_program.name;
% load spike dyn from folder above current in dir
spike_dyn_path=fullfile('..\','well_spike_dynamics_table*.mat');
dir_spike_dyn=di... |
5301a08b251f1b032787429ad2663eebf002cb7482f62e9484e8c8556ee1fa23 | MATLAB | 3,986 | 102 | function cifti_conn_pairwise_corr_exaversion(wb_command, pconn_dconn_template,pconn_or_dconn, subject_conn_conc, keep_conn_matrices)
%pconn_dconn_template = template correlation matrix to compare data to
%pconn_or_dconn = specify if your data are parcellated or dense
%subject_conn_conc = conc file that has full path... |
3a4abac52d17c92cae423bae48a818991f79ec5c4989eaa34ca755f656434609 | MATLAB | 3,990 | 110 | % This script compares image quality between two models
modelNameA = 's3://delazerdamatlab/Users/OCTHistologyLibrary/_MLModels/2020-11-10 Jessica with_history_buff/'; % Part of the model name
modelNameB = 'paper 4 used in paper v2'; % Part of the model name to compare to - version in the paper
isCorrectAspectRatio... |
ed48c9d3dfe4409e7aa3a58b4a5754b166ec5bae46cbef72652ddf03813ddbf5 | MATLAB | 3,991 | 106 | function cfg_adj = inherit_settings(cfg_adj,cfg_orig,varargin)
% This function inherits specific settings from cfg to a subfield of cfg
% (e.g. cfg.parameter_selection).It adds those fields that should be added,
% but doesn't overwrite manually specified settings.
% The logic behind this function: The user does n... |
13abcc75a591bb82fb0e823b5ad9cc661d254749a502f736a5f6449ee01d1db4 | MATLAB | 3,995 | 112 |
%initialize
[taskStruct, dispStruct] = initTask();
taskStruct.expStartTime = GetSecs();
taskStruct.totalEarnings = 0;
taskStruct.trialTotal = 0;
% note experiment start time
fireEvent(taskStruct.LPT, taskStruct.eEXP_START);
try
% run the instructiona
%runCardDrawInstructions(taskStruct, dispStruct);
% ... |
596247524484bbde87ab829f5189a76622bd1a2d01691d6d458fc0d3d4b0bb7a | MATLAB | 3,995 | 120 | function univ_pe_2nd()
cfg = load('neurovar_cfg.mat').cfg;
n_sub = 44;
a_title = 'analysis_title';
res_dir_spe = fullfile(cfg.global.deriv_dir, strcat(a_title, '_2nd'), '_results_spe');
mkdir(res_dir_spe);
res_dir_rpe = fullfile(cfg.global.deriv_dir, strcat(a_title, '_2nd'), '_results_rpe');
mkdir(res_dir_rpe);
... |
64d205bf783ed11e1319791beeb089b9e5e5538c1e1283b27bc2fc4d80f351ba | MATLAB | 3,997 | 130 | %% scatter plot of cluster times
close all
clear
up=load('times_A7_hi.mat');
down=load('times_A6_hi.mat');
sr=25000;
timevec=[1/sr:1/sr:300];
up_1=up.cluster_class(up.cluster_class==1,2)./1e3;
up_2=up.cluster_class(up.cluster_class==2,2)./1e3;
down_1=down.cluster_class(down.cluster_class==1,2)./1e3;
down_2=down.clu... |
72fa4203d59883b9074af017079ef74eb83244a7d91e043d318108ebf1ba7f4d | MATLAB | 3,998 | 78 | % ----------------------------------------------------------------------- %
% M U L T I P L E T E S T I N G %
% ----------------------------------------------------------------------- %
% Function 'fwer_sidak' computes the idák correction of Family-Wise Error%
% Rate for m... |
f47dcfde66af17554eed70562abf7fed57ca63a1917bfe1dcfadc71fa94d4599 | MATLAB | 4,002 | 117 | function [subj results] = tutorial_easy_spm(varargin)
% Tutorial script to accompany TUTORIAL_EASY.HTM
%
% [SUBJ RESULTS] = TUTORIAL_EASY_SPM(varargin)
%
% This is the sample script for the Haxby et al. (Science, 2001) 8-
% categories study. See the accompanying TUTORIAL_EASY.HTM, the
% MVPA manual (MANUAL.HTM) and th... |
4d985420a52a8791bc3f1e1f49ac4f5ae46833642df6465dbc40290e40e507bd | MATLAB | 4,003 | 101 | function plotRespOverview(PSTHs,SortedStim,binEdges,tempRes_ms,W,WLabel,exampleNeurons,exampleNeuronsLabel)
if nargin < 6; WLabel = '|W|';end
if nargin < 7; exampleNeurons = [];end
if nargin < 8; exampleNeuronsLabel = cellfun(@num2str, num2cell(1:length(exampleNeurons)), 'UniformOutput', false);end
%% Response Overvi... |
37b3d2a1dbbb52c906a86f5db1a0f20266dbcefd94500077c5ca95217e73d24b | MATLAB | 4,009 | 110 | %% ANTI-PHASE SYNCHRONY (HFOs, 745 Hz)
clear
rng(17) % seed
Path = [pwd, '\IN_sims\'];
clrs = ["b","r","g","k","c","y"]; % colors
per_clr = [0.9290,0.6940,0.1250]; % periodogram color
% TIME
T = 3000; % time span
dt = 0.01;
% COUPLING
epsilon = 0.08;
n = 2;
N = sum(n);
K = getK(n,epsilon);
K... |
a51a79bddb393f4497a88c52a39c5b65fe8f5e01136b466738f8dce3c576cf4a | MATLAB | 4,010 | 144 | function [minPos,fmin] = polyinterp(points,doPlot,xminBound,xmaxBound)
% function [minPos] = polyinterp(points,doPlot,xminBound,xmaxBound)
%
% Minimum of interpolating polynomial based on function and derivative
% values
%
% It can also be used for extrapolation if {xmin,xmax} are outside
% the domain of the po... |
6c6651216e55239c4ff0e7f8a6b8b14e39f11790526a601cbc7b4335c44914ea | MATLAB | 4,012 | 113 | % This script is a demo showing some simple three-class decoding on
% simulated toy data.
fpath = fileparts(fileparts(mfilename('fullpath')));
addpath(fpath)
clear variables
dbstop if error % if something goes wrong
%% Set the output directory where data will be saved
cfg = decoding_defaults;
% cfg.resul... |
9ad58e5b32ef185f1f80506c8812a3b47a372aa77fbfa8a1c1f6401731caaaa8 | MATLAB | 4,012 | 157 | function output = model_postCAT(x,data)
% Likelihood function for Q-learning on experiment postCAT v.2 with
% parameters (1)learning rate, (2)inverse temperature, (3)
% perseveration and (4)credit assignment
%
% USAGE: lik = model_postCAT(x,data)
%
% INPUTS:
% x - parameters:
% ... |
a5198a364cd8b58a70434e3382ae960b54dd6465d54be7a4cf435b6dc3773e3c | MATLAB | 4,017 | 132 |
clear
[task_info,supPath,MaestroPath] = ...
loadDBAndSpecifyDataPaths('Vermis');
load('sessionMap.mat')
CAL_CLASSIFIER = true;
CAL_OMEGA = false;
K_FOLD = 10;
bin_sz = 50;
req_params.grade = 7;
req_params.cell_type = {'PC ss','PC cs', 'CRB','SNR', 'BG msn'};
req_params.task = 'pursuit_8_dir_75and25|saccade_8_dir... |
59956be6986f6e851c8f3270f896c195f71042e63939ee22756292b59c6f86db | MATLAB | 4,019 | 142 | function [noisypat noisyinfo] = noisify_regressors(regs,nTiles,noisiness,noise_type,signal_coeffs_order,do_plot)
% Tile and add noise to regs matrix to create a synthetic pattern
%
% [NOISYPAT NOISYINFO] = NOISIFY_REGRESSORS( ...
% REGS,NTILES,NOISINESS,NOISE_TYPE,SIGNAL_COEFFS_ORDER,DO_PLOT)
%
% This takes in a re... |
12bf87d879b47eef6a715c633645c75e0686aa07162cf4ae32f5b14bcd426015 | MATLAB | 4,024 | 163 | %% FF
Fs = 1000; % Sampling frequency 1000
T = 1/Fs; % Sampling period
L = 300000; % Length of signal 300000
t = (0:L-1)*T; % Time vector
f = Fs*(0:(L/2))/L;
region=["EC-DG","DG-CA3","CA3-CA1","CA1-EC"];
regLabel1ff=[];regLabel1fb=[];
set(0,'defaultAxesFontSize',16)
set(0,'defau... |
211813ce94bdf277422660c0d84b86b58db67c2dc90a2ee10ef9cc7cf1690b83 | MATLAB | 4,024 | 106 | function [h, hdata] = glmhess(net, x, t, hdata)
%GLMHESS Evaluate the Hessian matrix for a generalised linear model.
%
% Description
% H = GLMHESS(NET, X, T) takes a GLM network data structure NET, a
% matrix X of input values, and a matrix T of target values and returns
% the full Hessian matrix H corresponding to t... |
2292404d94f0061a20571898f72e7774128b81fdfa4584bcbf1ee731d5297c8e | MATLAB | 4,024 | 124 | function [para, verbose, success] = optiCalib(accIn, varargin)
%OPTICALIB optimize calibration parameters for auto-calibrate 3-D
%accelerometer signals
%
% INPUTS
% ACCIN: 3-D accelerometer data, unit g, N by 3 matrix
%
% optional
% MAXITER maximum number of interations, defau... |
432c17e227c0d7a50f1ec55111b5d85302a76c0172834c08514f5beef1b56ed3 | MATLAB | 4,030 | 167 | %
% Computation of SVD in a way that is quicker and uses less memory
% than the svd that comes with matlab, by using PCA of XX' where
% X has fewer rows than columns
%
% In:
% - data matrix X - #examples x #features
% - optional (defaults to all components or all the variance):
% - 'keepNumberComponents',<# of compon... |
c94d7af33385aef9b4a7a65110f7c6d735eed1592f1182ad5198cb801901d4f0 | MATLAB | 4,030 | 82 | #import <UnityAds/UnityMonetization.h>
#import "UnityAdsUtilities.h"
#import <UnityAds/UnityServices.h>
#import "UnityAdsPurchasingWrapper.h"
/**
* Callback invoked into C# when a decision state has changed.
*/
typedef void (*UnityMonetizationPlacementContentStateChangedCallback)(const char *placementId, const void ... |
46e374dee6e7d68985acfebb96ca3656ee05742344ed072b1c5de5772a32b000 | MATLAB | 4,031 | 115 | % plot performance as bar chart for each channel
saveDir = 'C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment03';
saveDir2 = 'C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\RawDatafNIRS\Experiment03';
load([saveDir filesep 'intermediateOutputs.mat']);
lo... |
f8e5a7c09e6efbfc0978e92302757c11626b4a737799c4816e498e481f7c9235 | MATLAB | 4,034 | 133 | function [u,v,h, fitScore] = fdlnEstimateUVHSinglePlane (fdln,a,b)
%Uses Fiducial Line structure of identified markers to identify u,v,h assuming a single plane approiximation
%INPUTS:
% fdln - array of identified Fiducial Line structures (see
% fdlnIsLineIdentified for explanaition, of what is 'identified'... |
07e0dd86760eae9aa53acf4d62d2aeffcae3ec164975709a72d00e0fa269be2f | MATLAB | 4,041 | 119 | function [h, p, ci, stats, n, stderr1, stderr2]=total_ttest_210326(table1, table2)
% Assumes tables 1 and 2 are already organized
% input the metadata from the spontaneous and stimulated datasets into this function
% if all(~ismember({'Electrode Pairs','Spike Area','Conduction Time','Unit Pairs','Direction'}, table1.... |
f0a771873a8c4dbf28193fa6fea983cee581a69eb3a8a104856b223813565e3f | MATLAB | 4,042 | 123 | clear; close all; clc;
%% Load Excel Experimental Document
% FilNam = '\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\Recording_Document\BCTypeDendriteAxonData.xlsx';
FilNam = '\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\BipolarCellTerminal\BCTypeDendriteAxonData.xlsx';
[DocNum, DocStr] = xlsrea... |
970a1e2d0cbcf790cbff88b387170fab08a2567b12b87e8d0d8eb2ee6aa36c65 | MATLAB | 4,047 | 124 | function cuboidal_integral_test
% This function creates a cuboid in spherical co-ordinates and then
% plots in cartesian co-ordinates. The cube is divided into 4 pyramids.
% Each rectangle has a top, middle and bottom component as per the figure.
% The script also uses a quadrature based method to verify the volume (... |
983f6525f38fe6c74c0ff833ba8b276374a34b0aba595f545abbb0a61ea88811 | MATLAB | 4,047 | 109 | %% TRANSIENT COLLECTIVE ANTI-PHASE BEHAVIOR
% SETTING
clear
rng(13) % seed
Path = [pwd, '\IN_sims\'];
clrs = ["b","r","g","k","c","y"]; % colors
per_clr = [0.9290,0.6940,0.1250]; % periodogram color
% TIME
T = 1200; % time span
dt = 0.01;
% COUPLING
eps1 = 0.10;
eps2 = 0.10;
epsilon = [ eps1, ep... |
d98954953848b8f37d294bb07c0ffe02da24c6314eb57fa5f82c8db28bb378b6 | MATLAB | 4,049 | 93 | %{
Copyright (C) 2023 N. Suhas Jagannathan
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed i... |
a57d5d887dc1d948da1719a6fa8a7d85cabb8ce507af5330cde0a17588568863 | MATLAB | 4,052 | 104 | function [deformed, displacement] = poly_affine_transformation(...
im, transformationMatrices,weightFunctions,varargin)
% POLY_AFFINE_TRANSFORMATION Fuses multiple affine transformations using a log-euclidean framework
%
% [deformed displacement] = poly_affine_transformation(...
% im,transformationMatrices,weight... |
23259fe278bcb5355df3c92e34bf7b0f0a7d270f286cdf29788ce95352b5790c | MATLAB | 4,055 | 121 | function decoding_write_similarity(resname,contrasts,overwrite)
% This function can be used to write similarity searchlight results that
% have been stored in a .mat file of results generated by The Decoding
% Toolbox. All results are written separately to images starting from
% beta_0001. In addition, contrasts betwe... |
60791c8df6b3843d6e03c0fc6085b36822ca80a955e339efdcc9ec456328303e | MATLAB | 4,055 | 128 | function [returnVar,msg] = Process_RemoveMedianHighFq(fbasename,nbChan,varargin)
% USAGE:
% Process_RemoveMedianHighFq(fname,nbChan,refchan,options)
% This function creates a new dat file including only data from one electrode group (as defined in Neuroscope).
% It can also substract the median of high pas... |
092a40fa42a260fedb5bb398ee97c8f686d1a6fe8bb23a0c1a42949577463bbe | MATLAB | 4,057 | 135 | %% --------------------------------------------------------------------
% Initial setup
%----------------------------------------------------------------------
addpath('/.../VisualImagery_paper/experiment_ptb')
% This experiment is implemented via Psychtoolbox-3. Instructions on how to
% donwloa... |
69b2908550131feadeecf19e55af1044b810c7f2772c90a2dd78a8bf412e3bde | MATLAB | 4,062 | 113 | function [ratioPercieved,ratioAdjusted] = Calc_Shape_Distortion(slant,flag)
%
%Determine the shape of a rectangle in the retinal image when the rectangle is slanted a given
%amount. This will allow us to predict the expected shape distortion for a
%given change in binocular disparity.
%This function calculates t... |
e8c176e1bc3ac4956ff46af66f52de7838fe7c689ea935b30278169a62246aad | MATLAB | 4,062 | 96 | function [update] = estimate_update_field(...
currentScale)
% ESTIMATE_UPDATE_FIELD Estimates the update field for current scale and iteration
%
% [update] = estimate_update_field(currentScale)
%
% Data used is contained in the data struct registration.
% See also REGISTRATION_EXECUTE
%
% INPUT ARGUMENTS
% currentS... |
edfc731925e1bb4c3e0df49101a01902b0d846ce09127cb378f54715f8961fee | MATLAB | 4,065 | 116 | function setup_image_registration_repository()
% SETUP_IMAGE_REGISTRATION_REPOSITORY Call this function to setup and compile necessary files
%
% setup_image_registration_repository
%
% INPUT ARGUEMNTS
% N/A
%
% OPTIONAL INPUT ARGUEMNTS
% N/A
%
% OUTPUT ARGUEMNTS
% N/A
% Copyright (c) 2014 Daniel Forsberg
% danne.fors... |
83d0c5e4a02466145dbc69d0ddd08f771a7334bdeb9417fd7738554ff22dc6e0 | MATLAB | 4,067 | 116 | % Regression unit test
%
% Model: kernel ridge
rng(42)
tol = 10e-10;
mf = mfilename;
%% providing kernel matrix directly VS calculating it from scratch should give same result
% Create spiral data
N = 500;
nrevolutions = 2; % how often each class spins around the zero point
nclasses = 1;
scale = 0.001;
prop = [... |
53f65127ee6850cfdcc74e9aa6a056b5f72c3094687b72df0db771efdf0ecd9f | MATLAB | 4,073 | 116 | % This script will set up ML by opening an instance, copying etc. on aws
% To launch ml instance in aws, we will be following instructions by:
% https://aws.amazon.com/blogs/machine-learning/get-started-with-deep-learning-using-the-aws-deep-learning-ami/
%% Inputs
% We can start ML instance from a dataset (clea... |
3f48e2d86c0841eca38900080bb477bd572fa51973362b92a05ea302ad322da4 | MATLAB | 4,076 | 141 |
clear
[task_info, supPath ,~,task_DB_path] = ...
loadDBAndSpecifyDataPaths('Vermis');
req_params.grade = 7;
req_params.cell_type = 'PC ss|CRB';
req_params.task = 'speed_2_dir_0,50,100';
req_params.ID = 4000:6000;
req_params.num_trials = 50;
req_params.remove_question_marks = 1;
raster_params.align_to = 'rewar... |
a09603dbef5a1b01934dd96a9369136a826d9f60f33bd4dcf40617ec4f18dc2c | MATLAB | 4,077 | 146 | function tmass_stats = cluster_t_mass(perm_data, tail)
% function tmass_stats = cluster_t_mass(perm_data, tail)
%
% Performs permutation-based cluster t-mass analysis.
% This approach determines clusters of subsequent time points with
% above-chance reconstruction accuracy based on t-tests. It then creates a
% null-d... |
33ae346ee701cb3b237f5f7a6625b8883dcef8c826db9902aeafc5ebac0931bd | MATLAB | 4,082 | 110 | Condition_Name = cond_labels;
Channels = cluster_labels;
%% Load all data
for sub = 1:length(subject_list)
subject = subject_list{sub};
load([TFR_Data subject, '_tf_data_' int2str(1)])
% initialize matrices on 1st subject
if sub == 1
tf_all_PT_Can = zeros([size(tf_data_1) l... |
ffe0f68358921cc67c6111543399af337336874a349ff76b150ac011a02f1c14 | MATLAB | 4,083 | 125 | function [outImage, displacement] = affine_transformation(inImage, transformMatrix, varargin)
% AFFINE_TRANSFORMATION Applies an affine transform to the provided image
%
% [outImage, displacement] = affine_transformation(inImage, transformMatrix)
%
% Rotationcenter is in the center of the data
%
% INPUT ARGUMENTS
% inI... |
dfbcfa125015d4f79bc7f900f0dd9d4bbccccc230868fe7c51031248571ddf30 | MATLAB | 4,085 | 135 | function [net, options, errlog] = gtmem(net, t, options)
%GTMEM EM algorithm for Generative Topographic Mapping.
%
% Description
% [NET, OPTIONS, ERRLOG] = GTMEM(NET, T, OPTIONS) uses the Expectation
% Maximization algorithm to estimate the parameters of a GTM defined by
% a data structure NET. The matrix T represents ... |
173da6e5150c5ddeb0a1ada3513ef5a3373d0df188c1ab21dd9d776c25769789 | MATLAB | 4,086 | 137 | %% 7a. Find impulse for closed loop model
function F = getImpulse(K, I, option_dark_only)
%
if ~exist('option_dark_only','var')
option_dark_only = 0;
end
F = [];
F.dt = K.dt;
% Predictive target signal includes position -- can't calculate impulse
% response correctly (?), so just pass on the info for now
F.PT_ve... |
67f2f6862ad52ff8ff6a1c6d554edf4c8545f2aecf05d980dff4b1f75639b807 | MATLAB | 4,087 | 111 | % plot raw, raw bandpassed under 0.5 Hz, raw bandpassed under 3 Hz, and raw
% median filtered. Explore other filtering options, linear and nonlinear filters.
% plot delta optical density unfiltered, bandpassed filtered under 0.5
% Hz, under 3 Hz, median filtered, and gaussian-filter.
% Butterworth, filter order 3.
%... |
a8c79992aa3d566fbfdbb71abb1c0cadb56e0c7bece7310ef438c0d07958bd09 | MATLAB | 4,088 | 132 | function [new_vects] = wavelet_scramble_multi(orig_vects,wavelet_name,lvls,nScramble)
% [NEW_VECTS] = WAVELET_SCRAMBLE_MULTI(ORIG_VECTS,WAVELET_NAME,LVLS,NSCRAMBLE)
%
% Example: [new_vects] = wavelet_scramble_multi(orig_vects,'db4',5,10000)
%
% This function takes a timeseries or set of timeseries as
% input and outpu... |
ca1b5d4bb6b33245b15ff3e584aab99b2ba98aaf471df0fb2265a632171dc61f | MATLAB | 4,088 | 109 | function white=WhiteIndex(windowPtrOrScreenNumber)
% color=WhiteIndex(windowPtrOrScreenNumber)
% Returns the intensity value to produce white at the current screen depth,
% assuming a standard color lookup table for that depth. E.g.
%
% white=WhiteIndex(w);
% Screen(w,'FillRect',white);
%
% windowPtrOrScreenNumber must... |
2883cb46a20cd358f9b1f60a821d993d54cec34dcfb3755765c614618c08aca7 | MATLAB | 4,092 | 113 | function [L,weights] = CrossValidationCrossCorrPrediction_Cells(qPre,qPost,sPost,binT,ep)
% [L,params] = CrossValidationCrossCorrPrediction_Cells(qPre,qPost,sPost,ep)
%
% computes the loglikelihood prediction of an ensemble of target spike trains given another ensemble of (predictor) spike trains
% The prediction is ... |
29843ba33ba28c2b020f58c4d2ccedf509a62e9e6e2cdfdfa647ce050cab3a67 | MATLAB | 4,094 | 119 | function [h, p, stats, n, stderr1, stderr2]=total_wilcox_210630(table1, table2)
% Assumes tables 1 and 2 are already organized
% input the metadata from the spontaneous and stimulated datasets into this function
% if all(~ismember({'Electrode Pairs','Spike Area','Conduction Time','Unit Pairs','Direction'}, table1.Pro... |
69cf5712eb244bc3af9117c00c5be8e71ccede4337570cbb50b1022269450ee5 | MATLAB | 4,099 | 145 | function [subj] = filter_runs(subj, patname, selname, filt, varargin)
% Filter each run of a pattern using a given moving average filter.
%
% [SUBJ] = FILTER_RUNS(SUBJ, PATNAME, SELNAME, FILTER, ...)
%
% WARNING: This function is deprecated as of version 0.3 of the EBC
% extension. A more general function is apply_to... |
9b9ca002eaf8e749a4d2e5b47dd4218b6d269525c7e8118440aadfc9a57d93af | MATLAB | 4,100 | 108 |
function [pport,pptio]= initializeLPT(pport,addr)
% [pport]= initializeLPT(pport,addr)
%
% This function initializes access to LPT port and returns a struct with two functions,
% get and put, which respectively read and put to selected register.
%
% On windows systems parallel port access uses the io32 o... |
6428e07aa2bf9fd0a1a941a36d12bb187e4be77b9fd2c091eac1c84f515a492c | MATLAB | 4,103 | 156 | % This file is part of the Matlab Toolbox for Dimensionality Reduction v0.7.2b.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code in any way you
% want for non-commercial purposes. However, it is appreciated if you
% maintain the name of th... |
d64ad59b55512f7c24980e3687046d68c9bd6d795614f0fc313065e1e884d87b | MATLAB | 4,106 | 133 | function fdln = fdlnIdentifyLinesByStackInterpolation(fdln,vLinePositions,hLinePositions,fdlnStack)
%This function tries to identify fiducial line structure based on other
%slides in the stack that are identified and can be used for interpolation
%INPUTS:
% fdln - fiducial line structure array
% vLinePositions... |
caa690a38ec6ddc1e9e41f8d4b51b83aac0bddd75dbf2c95178d97f1a95c0d9f | MATLAB | 4,109 | 83 | DataPathBeh = '.\Data\Behavior\';
DataPathSIM = '.\Data\PCA_SIM\';
OutPath = '.\Data\PCA_SIM\';
addpath(genpath('.\functions\'))
%% load results from behavior
behResults = load([DataPathBeh,'salicylateResults.mat'],'mice', 'dP_lat','uMF','uMD','uInt','RespLatTable');
RespLatTable = behResults.RespLatTable;%
RespL... |
7077b8a507d7bbc52698ec4b4c8b83442757180bc3643b4e6cf6073f51f8aebb | MATLAB | 4,110 | 98 | function brainspan_analysis_multiply(PLSweighted_genelist,input_expression_matrix,input_gene_rows,input_sample_columns,output_path)
[C,IA,IB]=intersect(cell2table(input_gene_rows.gene_symbol),PLSweighted_genelist(:,1));
overlap_expression_matrix=input_expression_matrix(IA,2:end);
overlap_PLSweighted = PLSweigh... |
5c000ddce7680ee71cb9606cb49450fb568b5852fd5db4119971a8cc503315bd | MATLAB | 4,112 | 110 | %This script analyzes PLR for a single experiment and generates a sigmoidal
%fit and curve. It then saves the values at each illuminance and the EC50
%from the curve fit.
clear; clc; close all;
%%Load Parsed files
[fileName, pathName] = uigetfile('.mat', 'Load parsed file');
%Load first file to get parameters ... |
4d9ca72b65fb43a9164018031ca03b9b7914d048cadfd5796d6af836cd9cc958 | MATLAB | 4,113 | 50 | %-----------------------------------------------------------------------
% Job saved on 19-May-2023 21:06:31 by cfg_util (rev $Rev: 8183 $)
% spm SPM - SPM12 (12.6)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
matlabbatch{1}.spm.tools.beamforming.data.dir = {'... |
5b51bf4b75f443f2fe75ac2054630a1b674986582e742095c57a3f45b7465f2b | MATLAB | 4,121 | 137 | function plot_split_moving(cueMI, oppMI, sessionDist, iWindow, iMonkey, yl, split_sessions, iSplit, window, trial_type, sum_metric, loc_flag)
%% Plots V4 f-MI cued vs opp moving window plot (onset)
cols = [0,0,1;0,0,1;1,0.5,0;1,0.5,0];
cols = [cols;cols];
cols(9:10,:) = [0,0,1;1,0.5,0];
cols_other = [1,0.5,0;1,0.5,0... |
f11ff8a508dcf9cca6a5064146dbc51a8fa17dd74882e7f6bac01fbfeba801a7 | MATLAB | 4,121 | 154 | % CALCULATES SPECTRAL ESTIMATES PER RAT
% Loads cell_block data
% Calculate power and coherence estimates
% Saves time-frequency data
%
% Authors: Danilo Benette Marques and Rafael Naime Ruggiero
%Define subject
ratoName = 'R47_HG';
segName = '30s_dividido';
grupoName = 'Grupo A';
tic
%Reads variable... |
c6df8c6812fc72d39830772097d4f74a96d4be6f0f797382e2c607f83c0c89a6 | MATLAB | 4,122 | 149 | function [Inorm, H, E] = normalizeStaining(I, HE0)
% Normalize the staining appearance of images originating from H&E stained
% sections.
%
% Input:
% I - RGB input image, to be normalized;
% HE0 - HE vector used to calculate concentrations of each dye;
% If HE0 not defined, HE vectors... |
4631502c38a6dc41cfa84683e61f739a5bce43d7ef8bf146a1a3f48fdb9d2fc5 | MATLAB | 4,123 | 118 | function [ history ] = bundle(varargin)
% Bundles a bunch of workspace variables/expressions into a structure.
%
% Usage:
%
% To bundle a workspace variable, call bundle with that
% variable as an argument. For example:
%
% b = bundle(foo, bar)
%
% will create a structure b with fields 'foo' an... |
927c70f4aa7de10e945aaaee98fcf27e1f7b5b0f22d515c9a4a302e67bf5e897 | MATLAB | 4,125 | 147 | function [r_est, m_est, k_est, MLL, LF] = bhvr_ML(y, z, mu, kr, m)
% _
% Maximum Likelihood Estimation for a von Mises Mixture Model
% FORMAT [r_est, m_est, k_est, MLL] = ME_vMMM_ML(y, z, mu, kr, m)
%
% y - an N x 1 vector of response errors (domain: -pi <= y_i <= +pi)
% z - an N x 1 vector of swap errors (d... |
83b548ad322ec6b0a2ea5cf0ff42aff57ef881972b9524848552820868e8936f | MATLAB | 4,128 | 95 | function all_combinations = param_string_number(cfg,default_params,parameters,all_value_combinations)
% Subfunction with the format:
% INPUT:
% cfg: configuration script
% default_params: which parameters have been passed as default (format
% depending on the format chosen, in this case string)
% pa... |
4330e0603c465a2910dd37a57a0a8e1ef5d5124a00b002042868d3682ffc88b9 | MATLAB | 4,132 | 76 | %% For Fig. 1C top: plot event count per frame across an entire FOV
%
% 1. Load 'AQuA_CytoGCaMP_ReceptorAgonistBathApp_Fig1.mat' workspace
% 2. Run'Fig1_PreppingDataStruct.m':
% Section A: experiment_type = 'BathApp'; method_AgonistEntry = 'MaxCurve'
% Section B: Run as is
% 3. Run the following code (... |
db7974b4e08f0a2f3482ab7680873411ab59489fa7a4fbe1934f20ee452e25c1 | MATLAB | 4,137 | 172 |
clear
[task_info,supPath,~,task_DB_path] = loadDBAndSpecifyDataPaths('Vermis');
EPOCH = 'targetMovementOnset';
DIRECTIONS = 0:45:315;
req_params = reqParamsEffectSize("saccade");
%req_params.ID = [4797];
lines = findLinesInDB (task_info, req_params);
cells = findPathsToCells (supPath,task_info,lines);
cellType = c... |
c29686a36a0e09366ce763ec0ee7db6be1211ba14394e3e51d90fdab7b343c5a | MATLAB | 4,142 | 105 |
% Analysis scripts
% addpath(genpath('/.../WM_VI_EVC/code/analysis/'));
% addpath(genpath('/.../WM_VI_EVC/code/revisions/'));
% Toolboxes
% 1. SPM12
% https://www.fil.ion.ucl.ac.uk/spm/software/download/
% addpath('/.../spm12/');
%% Set Parameters
clear variables
%%% Create structure with key analysis parameters ... |
18bb437e83a309752d98c512be13debfcac3594b76bf78f7f423cd10e9c23597 | MATLAB | 4,143 | 98 | %
% This script generates custom movies from CARLsim simulation results.
%
% Author: Nate Sutton, 2022
%
% References:
% https://www.mathworks.com/matlabcentral/answers/154659-how-to-create-animation-of-matlab-plotting-points-on-a-graph
% https://www.mathworks.com/matlabcentral/answers/220094-how-do-i-make-a-video-of... |
339a15d2e31fee7c692d54e7f1d4c2e1ccbb22083647dfa16915aec149c348b7 | MATLAB | 4,143 | 124 | function [best_theta_est, p_val, cTab, theta_est, angles_inv, LLF, theta_init] = ...
est_param_mADC_L2(monkey, RF, sessions, beh_dat, L2, mb_lim)
%% Function to estimate parameters on pooled across sessions
rand_init = 1:5:3000;
onebyN_flag = 1;
num_of_iters = 10;
%% Code for both poole... |
63f403b5d2f730a4b760c948c9bba57e2da5d592bfece7e76d3e6cc638d7334b | MATLAB | 4,152 | 143 | function [errs warns] = unit_plot_deviations_from_condmean()
% [ERRS WARNS] = UNIT_PLOT_DEVIATIONS_FROM_CONDMEAN()
errs = {};
warns = {};
errs = basic_case(errs);
[errs warns] = alert_unit_errors(errs,warns);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [errs] = basic_case(errs);
[subj ... |
3e4b0fdc717de57a05227847a5b6782387783a21c18f26eaab00a39df44f1e1a | MATLAB | 4,153 | 143 | clear; clc
[task_info, supPath ,~,task_DB_path] = ...
loadDBAndSpecifyDataPaths('Vermis');
req_params = reqParamsEffectSize("both");
raster_params.time_before = 0;
raster_params.time_after = 800;
raster_params.smoothing_margins = 0;
ts = -raster_params.time_before:raster_params.time_after;
lines = findLinesInDB... |
ae4cb59b4bf52ab22b7ce97260d99f69629798bcdd5a3cfb783624bc75618075 | MATLAB | 4,156 | 134 | %% Frequency in bins
clear
clc
% parent_dir="D:\Brewer lab data\HFS\No Stim\Wells_5SD_500maxSD";
parent_dir="D:\Brewer lab data\HFS\HFS Stim\Wells_5SD_500maxSD";
cd(parent_dir)
% spike_dyn=load('well_spike_dynamics_table_nostim.mat');
% spike_dyn=spike_dyn.well_spike_dynamics_table;
folders_in_dir=dir;
is_dir=[folder... |
00c8d34635622da332ac08e6bbadf4381619837bdff4140e2d39ab1d0bd9da1c | MATLAB | 4,158 | 152 | function [f,mdl,ds] = calcswitch(model,BEHdata,rescale,doplot,doregress,wincrit)
f = [];
mdl = [];
if ~exist('rescale','var')
rescale = 0;
end
if ~exist('doplot','var')
doplot = 1;
end
if ~exist('doregress','var')
doregress = 1;
end
if ~exist('wincrit','var')
wincrit = [50 50];
end
wincritt = winc... |
2ab296b4050719a414d3f7227dfffc129fd25aabb7807eef396b267472804704 | MATLAB | 4,158 | 114 | function [displacementField, certainty] = demons3d(moving, fixed, varargin)
% DEMONS3D Estimates a displacement field using the original demons scheme
%
% [displacementField, certainty] = demons2d(moving, fixed)
%
% INPUT ARGUMENTS
% moving - Moving iamge
% fixed - Fixed image
%
% OPTIONAL INPUT ... |
52fd992853304ec11c57d1ded07ff123f11e05cb7fbe13602f35f51513feb4d8 | MATLAB | 4,159 | 122 | function [interferogram, apodization,prof] = yOCTLoadInterfFromFile_ThorlabsData(varargin)
%Interface implementation of yOCTLoadInterfFromFile. See help yOCTLoadInterfFromFile
% OUTPUTS:
% - interferogram - interferogram data, apodization corrected.
% Dimensions order (lambda,x,y,AScanAvg,BScanAvg).
% ... |
dbdfbe0ea6a5a07eccfe110cfd5a806cc409cac2cf61cbaaf0b0c6cc71f39109 | MATLAB | 4,159 | 119 | classdef DropoutLayerClass < nnet.cnn.layer.Layer & nnet.internal.cnn.layer.Externalizable
% DropoutLayer Dropout layer
%
% To create a dropout layer, use dropoutLayer
%
% A layer which randomly drops neurons during training. This can be
% useful to prevent over-fitting.
%
... |
3d3b57f115e803f8511628033edd08ea26153e6a2d0ff8b723cb7e77bd4d04af | MATLAB | 4,164 | 146 | function [EV, EVr] = ReactRmatrices(filebase, cell_list, epochs_start, epochs_end, restrict_times)
% ReactRmatrices
%
% computes the cell-pair correlation matrices R for sleep 1 sleep 2 and
% maze and the explained variance. The R matrices are "flattened" stored
% as column vectors (RpairC_s1, RpairC_s2, RpairC_m) cor... |
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