An R package for processing and plotting of electroencephalography (EEG) data
-
Updated
Aug 19, 2024 - R
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).
An R package for processing and plotting of electroencephalography (EEG) data
Brainconn - an R package for visualising brain connectivity data in 2D and interactive 3D
A package for manipulating EEG data in R.
Fast cluster-based permutation test for densely-sampled, multi-level time series data (ex: eyetracking, EEG)
Using Machine Learning to analyze EEG records for markers of schizophrenia
Materials and source code for my MSc thesis: "Studying Network Variants With Electroencephalography"
A university seminar on analyzing EEG data in R
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…
This repository contains the code for the research project "Cognitive Workload Associated with Different Conceptual Modelling Approaches".
Evolution of quantitative EEG over the first few days of life for preterm (<32 weeks GA) infants
EEG concordance in preterm twins
R Scripts for EEG Data Analysis
Some tools and tips for electroencephalography
General EEG toolkit : Artifact detection and rejection, PS estimation, visualization and preprocessing
An R package to analyze large EEG data sets to find clusters of synchronized EEG channels among groups of participants
R Scripts for EEG Data Analysis
Analysis code supporting original publication