The MATLAB toolbox for MEG, EEG and iEEG analysis
-
Updated
Dec 11, 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.
3D Visualization of Brain MRI
A lightweight I/O utility for the BrainVision data format, written in Python.
This repository provides analysis code to analyze intracranial electrophysiological data with data-driven spatial filters.
Robust electrophysiology tools with GPU acceleration
Evaluating methods for estimating aperiodic activity in electrophysiological data.
Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.
Javascript engine for 3D brain model (used by RAVE project)
BIDS Manage is a software aiming at importing and organising data in BIDS standard
3D visualization tool
This toolbox was designed for detecting spindles and slow waves in iEEG data recorded from epileptic patients.
sleep scoring based on intracranial recordings
Add a description, image, and links to the ieeg topic page so that developers can more easily learn about it.
To associate your repository with the ieeg topic, visit your repo's landing page and select "manage topics."