[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time

Introduction to processing of EEG data using Python on a remote cluster

tutorial and practice of EEG (Electroencephalogram) analysis, filtering, data I/O via MNE-Python (Minimum Norm Estimation)

Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017

Analysis scripts for group analysis of MEG data in both Python and MATLAB associated with Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Repres…

Reading Spike2 files for electromiography and preprocessing them

A beginner's guide to analyze MEG data using MNE-Python

Analyze and manipulate EEG data using PyEEGLab.

LZ correlation experiment code w/ OASIS

MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.

MNE-Python extension for VS Code

Simple interpolation methods for fNIRS cerebral signal whose channels are located in a 2D space.

Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data

Directory used to store the code used for the paper titled "Theta and alpha power across fast and slow timescales in cognitive control" by Pieter Huycke, Pieter Verbeke, C. Nico Boehler and Tom Verguts.

This is my pipeline for preprocessing and processing EEG data in Python.

Data and analysis scripts associated with the manuscript: Native word order processing is not uniform: An ERP-study of verb-second word order. This paper was accepted for publication in Frontiers in Psychology - Language Sciences on Feb 3, 2022; DOI: 10.3389/fpsyg.2022.668276

A user interface for cloud based medical image storage

Source code of "Machine learning evaluates changes in functional connectivity under a prolonged cognitive load"