ieeg
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
A lightweight I/O utility for the BrainVision data format, written in Python.
Parameterizing neural power spectra into periodic & aperiodic components.
MEF 3.0 read/write — one C++ core with Python and MATLAB bindings. ~7–8× faster than the legacy pymef/mef_tools stack.
A repo of current preprocessing methods for the Cogan Lab
GPU-accelerated electrophysiology (EEG, iEEG, LFP) transforms for large batch jobs.
Package for obtaining the referential signal from a set of iEEG data
Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.
An open-source software package for working with electrophysiological data.
