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
Parameterizing neural power spectra into periodic & aperiodic components.
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
MNE-CPP: The C++ framework for real-time functional brain imaging.
3D Visualization of Brain MRI
A lightweight I/O utility for the BrainVision data format, written in Python.
Robust electrophysiology tools with GPU acceleration
Javascript engine for 3D brain model (used by RAVE project)
This repository provides analysis code to analyze intracranial electrophysiological data with data-driven spatial filters.
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.
An agentic workspace for exploring, analyzing, visualizing, and annotating EEG/iEEG signals. Includes a tool-using agent, local Python analysis, multi-scale rendering, and HDF5/EDF support.
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.
sleep scoring based on intracranial recordings
To associate your repository with the ieeg topic, visit your repo's landing page and select "manage topics."