Electroencephalography (EEG) is a non-invasive method for recording electrical activity in the brain, first performed on humans by Hans Berger in 1924 (Berger, 1929).
EEG concordance in preterm twins
Structure-Preserving Nonlinear Sufficient Dimension Reduction
General EEG toolkit : Artifact detection and rejection, PS estimation, visualization and preprocessing
Analysis of neurophysiological data from motor imagery studies (my PhD dissertation).
This repository contains the code for the research project "Cognitive Workload Associated with Different Conceptual Modelling Approaches".
Code for EEG microstate analysis related to central sensitization, using the Microstate EEGLAB Toolbox and additional custom scripts. Published in Pain (2025).
An R package to analyze large EEG data sets to find clusters of synchronized EEG channels among groups of participants
Some tools and tips for electroencephalography
R Scripts for EEG Data Analysis
R Scripts for EEG Data Analysis
Analysis code supporting original publication
Evolution of quantitative EEG over the first few days of life for preterm (<32 weeks GA) infants
Materials and source code for my MSc thesis: "Studying Network Variants With Electroencephalography"
DA4BCI provides a suite of domain adaptation methods specifically designed for EEG-based brain-computer interface (BCI) applications.
Fast cluster-based permutation test for densely-sampled, multi-level time series data (ex: eyetracking, EEG)
Scripts used for LME analyses of ERP difference waves from Heise, Mon, and Bowman (2025)
Using Machine Learning to analyze EEG records for markers of schizophrenia
This Github repo has the sole purpose of enabling Binder environments to run R code in RStudio (https://mybinder.org/v2/gh/pablobernabeu/Modality-switch-effects-emerge-early-and-increase-throughout-conceptual-processing/master?urlpath=rstudio) and Shiny (https://mybinder.org/v2/gh/pablobernabeu/Modality-switch-effects-emerge-early-and-increase-t…