There are 1 repository under mne topic.
A Python implementation of the Preprocessing Pipeline (PREP) for EEG data
Python routines for parsing of combined EEG and eye-tracking data
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EEG. Undergraduate thesis
🧠 + 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system
Hand gesture classification by optomyographical sensor signals
[DEPRECATED] EEG Frequency Visualizer - MNE
Scripts for the emotion EEG, ECG, sociability ISRSA analysis
🧠Quality assessor for EEG recordings 🧠
Neural Architectures for the Detection of ASD using EEG and IRT
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
Predicting Cognitive Workload in Flight Simulations using EEG Spectral and Connectivity Features: Repository for Research Code and Results
Jupiter notebook with EEG-data classification problem from the MNE library
MNE-Python extension for VS Code
This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.
A runner for the MNE BIDS Pipeline.
Task + repository planning & workflow documentation in Flemish Natura 2000 habitat monitoring
The technical process of processing EEG data with Python-MNE and Octave.
This is the repository of a course project in neuroinformatics. The project was about using autoencoder anomaly detection in order to detect button presses in EEG data.
A website that allows users to upload EEG and similar files and the user can make certain filtering/preprocessing selections that apply to graph visualization. Worked on this project in CMPS 420 using libraries like MNE, Plotly, and Django
A python package for loading XDF files into MNE
42 school project. Process EEG datas by cleaning, extracting, creating a ML pipeline implementing a dimensionality reduction algorithm before finding the right classifier and handling a real time data-stream with sklearn.
ICApp is a Python-based application that offers a graphical user interface to view and analyze MNE Tools ICA components
Estimating evoked responses