Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
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Updated
Nov 8, 2024 - Julia
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).
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
Plotting and visualization tools for EEG data, with additional Unfold.jl regression ERP methods. Based on the visualization libraries Makie.jl and AlgebraOfGraphics.jl
Julia functions to process electroencephalographic (EEG) recordings
Module to read Biosemi BDF files with the Julia programming language
Reading, writing, and wrangling EEG signal files of BDF and EDF format in Julia
Simulate EEG / ERP data with overlap, non-linear effects, multiple regression
Reconstruct visual stimuli from EEG data using Deep Learning
Loads brainvision files into Julia