ieeg

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

MATLAB / Octave tools for BIDS datasets

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

sleep scoring based on intracranial recordings

This toolbox was designed for detecting high-frequency ripples in iEEG data recorded from epileptic patients.

This toolbox was designed for detecting pathological activity (interictal spikes) in iEEG data recorded from epileptic patients.

A general purpose BCI platform designed to work with Neuralynx

Pipeline for curating intracranial EEG data (2022-2025)

ML pipeline for artifact detection in intracranial EEG (iEEG). Classifies High-Frequency Oscillations as artifactual or neural. 98% precision, 99% PR-AUC. Built with data from 8,000 events, 35 patients. Published in Journal of Neural Engineering (2026).

A rapid theta network mechanism for flexible information encoding (2023)

MATLAB library for 3D brain visualizations, working with brain atlases (NIFTI format) and iEEG data in MNI space

HORME: Handler for the Observable Rotating Motion of the Encephalos

Working memory delayed match to sample experimental paradigm (2017)

MATLAB app for automatic HFO detection in intracranial EEG (Liu et al., Neurosci Bull 2021)

Cycle-level neural signal analytics on clinical-scale iEEG validating human cognitive biomarker discovery.