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

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

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

Julia toolbox for analyzing neurophysiological data

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

3D visualization tool

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

A repo of current preprocessing methods for the Cogan Lab

A framework for variable-length time series classification (VSTC) with local signal interpretability.