This project implements a full preprocessing, feature extraction, and classification pipeline for the PhysioNet EEG Motor Movement/Imagery Dataset. Motor imagery—imagining movement without actual ...
fNIRS provides a portable, non-invasive way to measure brain activity that tolerates movement, enabling researchers to study cognitive function in naturalistic, real-world environments where ...
Description of the problem Discrepancies between running figure plots as a Python script instead of running in IPython. See fig1, fig2, fig3 as examples below. This has been tested in a minimal ...
At the Max Planck Institute for Human Development, we study how and why people develop differently over the course of their lives, and how physical, societal, and technological aspects of the ...
2.2 EEG preprocessing Raw EEG files were processed using MNE-Python. EEG signals were loaded from the public dataset, restricted to EEG channels, band-pass filtered from 1 to 40 Hz, and re-referenced ...