A list of all public EEG-datasets

Analysis code for Rayson, et al "Detection and Analysis of Cortical Beta Bursts in Developmental EEG Data"

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

a python toolbox for beta burst research based on mne

Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

Parameterizing neural power spectra into periodic & aperiodic components.

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Youtube codes

Some tutorials for students of neuroscience

EEG motor-imagery data analysis using MNE and Pytorch

Cycle-by-cycle analysis of neural oscillations.

codes to analyze ecog data in the fog project

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

Analysis code used to create figures in Jackson et al, 2019

Materials for workshops on the open neural time series analysis toolbox MNE-Python

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.