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.

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.

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

A repo of current preprocessing methods for the Cogan Lab

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

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

DDALAB is a software platform for analyzing physiological time-series data using Delay Differential Analysis (DDA).

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

PTE Decode is an open-source software package for neural decoding.

BIDS app to view a dataset content and the events file content

A runner for the MNE BIDS Pipeline.

GPU-accelerated electrophysiology (EEG, iEEG, LFP) transforms for large batch jobs.

Automated seizure onset detection on intracranial EEG (SWEC-ETHZ): feature extraction, EDA, and classical ML baselines with leave-one-patient-out evaluation

Package for obtaining the referential signal from a set of unipolar iEEG data

gRPC server for efficient, concurrent streaming of MEF3 electrophysiology data.

Scalable clinical iEEG seizure prediction backend — lazy-loads 256-channel, 1,000Hz EDF data, extracts features, and benchmarks ML models.

A user interface for cloud based medical image storage