ieeg
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Parameterizing neural power spectra into periodic & aperiodic components.
A lightweight I/O utility for the BrainVision data format, written in Python.
MEF 3.0 read/write - one C++ core with Python and MATLAB bindings. ~7-8× faster than the legacy pymef/mef_tools stack.
DDALAB is a software platform for analyzing physiological time-series data using Delay Differential Analysis (DDA).
Package for obtaining the referential signal from a set of unipolar iEEG data
BrainMaze: ready-to-use trained models for brain electrophysiology (seizure probability, sleep spindles), running on ONNX Runtime (CPU or GPU; no PyTorch needed).
A repo of current preprocessing methods for the Cogan Lab
GPU-accelerated electrophysiology (EEG, iEEG, LFP) transforms for large batch jobs.
An open-source software package for working with electrophysiological data.
Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.
