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Andreas Højlund's Projects

expo_learn icon expo_learn

project on neural adaptation to pseudowords based on mere exposure

fieldtrip icon fieldtrip

The MATLAB toolbox for MEG and EEG analysis

ica_vis_rej icon ica_vis_rej

Jupyter notebook for visually inspecting ICA components from the automatic rejection routines in MNE-Python for MEG (and eventually also EEG) data

leaddbs icon leaddbs

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.

mne-python icon mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mne-python-preproc icon mne-python-preproc

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)

mumufe_no_standard icon mumufe_no_standard

Analysis scripts for validating the no-standard version of the musical multi-feature (MuMufe) MMN paradigm

mvpa icon mvpa

testing classification analyses on longitudinal EEG data

raincloudplots icon raincloudplots

Code and tutorials to visualise your data that is both beautiful *and* statistically valid

vf_ss_dbs icon vf_ss_dbs

matlab scripts for analyzing behavioral responses from the verbal fluency / stop-signal paradigms in the Deep Brain Stimulation experiment

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