The MATLAB toolbox for MEG, EEG and iEEG analysis
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Updated
Jul 26, 2024 - MATLAB
The MATLAB toolbox for MEG, EEG and iEEG analysis
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.
A lightweight I/O utility for the BrainVision data format, written in Python.
3D Visualization of Brain MRI
Javascript engine for 3D brain model (used by RAVE project)
3D visualization tool
BIDS Manage is a software aiming at importing and organising data in BIDS standard
This repository provides analysis code to analyze intracranial electrophysiological data with data-driven spatial filters.
This toolbox was designed for detecting spindles and slow waves in iEEG data recorded from epileptic patients.
sleep scoring based on intracranial recordings
Package for obtaining the referential signal from a set of unipolar iEEG data
A runner for the MNE BIDS Pipeline.
Evaluating methods for estimating aperiodic activity in electrophysiological data.
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