EEGLAB

Open Source

The global standard for open-source electrophysiological signal processing and ICA decomposition.

Capabilities: Independent Component Analysis (ICA) Artifact Rejection Time-Frequency Analysis Source Localization Linear Modeling (LIMO)

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9.5

Protocol Reliability Score

Overview

EEGLAB is an interactive MATLAB toolbox for processing continuous and event-related EEG, MEG, and other electrophysiological data. Developed by the Swartz Center for Computational Neuroscience (SCCN) at UCSD, it represents the architectural backbone of modern computational neuroscience. In 2026, EEGLAB remains the dominant platform due to its robust implementation of Independent Component Analysis (ICA), allowing researchers to isolate brain signals from artifacts with high precision. Its architecture is built around a multi-layered plugin system, enabling the integration of hundreds of community-developed toolboxes for specialized tasks like source localization, connectivity analysis, and deep learning classification. The platform has evolved to fully support BIDS (Brain Imaging Data Structure) for standardized data sharing and high-performance computing (HPC) clusters via its sister project, NSG (Neuroscience Gateway). While historically MATLAB-dependent, the 2026 ecosystem offers a compiled standalone version and growing Python interoperability, maintaining its status as a critical utility for clinical research, cognitive science, and the development of next-generation brain-computer interfaces.