Name: Andreas Højlund
Type: User
Company: @meeg-cfin
Bio: Cognitive neuroscientist working w/ language, the brain and neurodegenerative diseases
Currently: project on adverse effects of DBS on language/cognition in PD
Location: Aarhus, Denmark
Blog: http://pure.au.dk/portal/en/[email protected]
Andreas Højlund's Projects
project on neural adaptation to pseudowords based on mere exposure
The MATLAB toolbox for MEG and EEG analysis
dummy-rep
Jupyter notebook for visually inspecting ICA components from the automatic rejection routines in MNE-Python for MEG (and eventually also EEG) data
Introductory workshop to source localization with beamfomers.
LEAD-DBS is a MATLAB-toolbox facilitating the: reconstruction of deep-brain-stimulation (DBS) electrodes in the human brain on basis of postoperative MRI and/or CT imaging, the visualization of localization results in 2D/3D, a group-analysis of DBS-electrode placement results and their effects on clinical results, simulation of DBS stimulations (calculation of volume of activated tissue – VAT) and diffusion tensor imaging (DTI) based connectivity estimates and fiber-tracking from the VAT to other brain regions (connectomic surgery). LEAD-DBS builds on SPM8/12, especially regarding warping and segmentation procedures.
Different tools for linguistic analysis of stimuli
Applying machine learning to longitudinal EEG data on foreign language learning
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
First go at a structured pipeline for the first preprocessing steps for MEG data (tested on three MEG datasets with PD patients and healthy controls)
Analysis scripts for validating the no-standard version of the musical multi-feature (MuMufe) MMN paradigm
testing classification analyses on longitudinal EEG data
Ask Piplup anything you want!
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Verbal Fluency in Parkinsons disease.
matlab scripts for analyzing behavioral responses from the verbal fluency / stop-signal paradigms in the Deep Brain Stimulation experiment