![800px-Da_Vinci_Vitruve_Luc_Viatour[1]](http://christopher-germann.de/wp-content/uploads/800px-Da_Vinci_Vitruve_Luc_Viatour1.jpg)
Numerical summary for all parameters associated with experimental condition V01 and V11 and their corresponding 95% posterior high density credible intervals.
• ρ (rho): The correlation between experimental condition V00 and V10
• μ1 (mu): The mean of V00
• σ1 (sigma): The scale of V00, a consistent estimate of SD when nu is large.
• μ2 (mu): the mean of V10
• σ1 (sigma): the scale of V10
• ν (nu): The degrees-of-freedom for the bivariate t distribution
• xy_pred: The posterior predictive distribution of V00
• xy_pred: The posterior predictive distribution of V10
Visualisation of the results of the Bayesian correlational analysis for experimental condition V00 and V01 with associated posterior high density credible intervals and marginal posterior predictive plots.
The (...)
Kapālabhātī is a yogic prāṇāyāma technique. From an etymological perspective, the word kapalabhati is a composite lexeme composed of two Sanskrit words: "kapal" meaning 'skull', and "bhati" meaning 'shining, illuminating'. (...)
//JavaScript for 3-D audio visualiser (based on Three.js => https://github.com/mrdoob/three.js/)
<canvas id="spectrogram"></canvas>
//<button class="play-button">Play</button>
<script type="module">
import * as THREE from 'https://christopher-germann.de/three.module.js';
document.addEventListener('DOMContentLoaded', () => {
let audioContext; // Declare audio context variable
// Function to initialise audio context
function initializeAudioContext() {
audioContext = new (window.AudioContext || window.webkitAudioContext)();
const analyser = audioContext.createAnalyser();
const audioElement = document.querySelector('audio');
const source = audioContext.createMediaElementSource(audioElement);
(...)
/*!
* Base CSS for pdf2htmlEX
* Copyright 2012,2013 Lu Wang
* https://github.com/coolwanglu/pdf2htmlEX/blob/master/share/LICENSE
*/#sidebar{position:absolute;top:0;left:0;bottom:0;width:250px;padding:0;margin:0;overflow:auto}#page-container{position:absolute;top:0;left:0;margin:0;padding:0;border:0}@media screen{#sidebar.opened+#page-container{left:250px}#page-container{bottom:0;right:0;overflow:auto}.loading-indicator{display:none}.loading-indicator.active{display:block;position:absolute;width:64px;height:64px;top:50%;left:50%;margin-top:-32px;margin-left:-32px}.loading-indicator img{position:absolute;top:0;left:0;bottom:0;right:0}}@media print{@page{margin:0}html{margin:0}body{margin:0;-webkit-print-color-adjust:exact}#sidebar{display:none}#page-container{width:auto;height:auto;overflow:visible;background-color:transparent}.d{display:none}}.pf{position:relative;background-color:white;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 (...)
Below you can find a custom-made "meta-search-tool" I programmed (coded in ActionScript2) which facilitates to effectively search the web for psychology and neuroscience related information.
You can freely download the program as a zipped executable:
Citation File Format (*.cff)
cff-version: 1.0.3
message: If you use this software, please cite it as below.
authors:
- family-names: Germann
given-names: Christopher, Benjamin
orcid: https://orcid.org/0000-0002-1573-4651
title: Psychology Meta Search Tool
version: 1.0.2
URL: https://christopher-germann.de/psychology-meta-search-tool-v1-02/
date-released: 2012-07-16 (...)
Visit: http://moebius-band.ga
Code for generating an interactive Möbius band in R (using OpenGL)
library(rgl) # (Murdoch, 2001)
library(plot3D) # (Soetaert, 2014)
# Define parameters
R <- 3
u <- seq(0, 2 * pi, length.out = 100)
v <- seq(-1, 1, length.out = 100)
m <- mesh(u, v)
u <- m$x
v <- m$y
# Möbius strip parametric equations
x <- (R + v/2 * cos(u /2)) * cos(u)
y <- (R + v/2 * cos(u /2)) * sin(u)
# Visualise in 3-dimensional Euclidean space
bg3d(color = "white")
surface3d(x, y, z, color= "red")
icon-file https://christopher-germann.de/wp-content/uploads/A-non-dual-cognitive-neuroscience-perspective1.pdf
(...)
Definition of Type I error:
Probability of rejecting null hypothesis when it is TRUE.
Definition of Type II error:
Probability of not rejecting null hypothesis when it is False.
Imagine tests on 1000 hypotheses 100 of which are true.
The tests have a false positive rate of 5%. That means they produce 45 false positives (5% of 900). They have a power of .8, so they can confirm only 80 of the true hypotheses, producing 20 negatives.
Not knowing what is false and what is not the researcher sees 125 hypotheses as true, 45 of which are not. The negative results are much more reliable but less likely to be published.
A parable concerning editorial policies
There's this desert prison, see, with an old prisoner, resigned to his life, and a young one (...)
/*!
* Base CSS for pdf2htmlEX
* Copyright 2012,2013 Lu Wang
* https://github.com/coolwanglu/pdf2htmlEX/blob/master/share/LICENSE
*/#sidebar{position:absolute;top:0;left:0;bottom:0;width:250px;padding:0;margin:0;overflow:auto}#page-container{position:absolute;top:0;left:0;margin:0;padding:0;border:0}@media screen{#sidebar.opened+#page-container{left:250px}#page-container{bottom:0;right:0;overflow:auto}.loading-indicator{display:none}.loading-indicator.active{display:block;position:absolute;width:64px;height:64px;top:50%;left:50%;margin-top:-32px;margin-left:-32px}.loading-indicator img{position:absolute;top:0;left:0;bottom:0;right:0}}@media print{@page{margin:0}html{margin:0}body{margin:0;-webkit-print-color-adjust:exact}#sidebar{display:none}#page-container{width:auto;height:auto;overflow:visible;background-color:transparent}.d{display:none}}.pf{position:relative;background-color:white;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 (...)
