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.

MATLAB / Octave tools for BIDS datasets

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

Javascript engine for 3D brain model (used by RAVE project)

Julia toolbox for analyzing neurophysiological data

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.

BIDS Manage is a software aiming at importing and organising data in BIDS standard

This toolbox was designed for detecting spindles and slow waves in iEEG data recorded from epileptic patients.

An open-source software package for working with electrophysiological data.

This toolbox was designed for detecting high-frequency ripples in iEEG data recorded from epileptic patients.

Organizing and coordinating the BIDS Extension Proposal 21: Common Electrophysiology Derivatives

A repo of current preprocessing methods for the Cogan Lab

[INTERSPEECH 2025]Official code for "MiSTR: Multi-Modal iEEG-to-Speech Synthesis with Transformer-Based Prosody Prediction and Neural Phase Reconstruction"

3D visualization tool