[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time
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Updated
May 30, 2018 - Python
[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time
Reading Spike2 files for electromiography and preprocessing them
Analyze and manipulate EEG data using PyEEGLab.
Simple interpolation methods for fNIRS cerebral signal whose channels are located in a 2D space.
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.
A user interface for cloud based medical image storage
A runner for the MNE BIDS Pipeline.
A U-Net for approximating the MEG inverse problem
Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
BrainVision EEG data classification using the MNE, Keras and the scikit-learn libraries.
A simple open source Python package for I/O between Cartool and Python
A Brain Computer Interface for Electroencephalogram data learning and prediction. Implementaton of Common Spatial Patterns algorithm from scratch.
Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.
Representational Similarity Analysis on MEG and EEG data
Realtime data analysis with MNE-Python
Automated rejection and repair of bad trials/sensors in M/EEG
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