Open EEG methods and neuroinformatics

Swartz Center for Computational Neuroscience

SCCN develops open electrophysiological methods, interoperable data infrastructure, and computational neuroscience research linking neural dynamics to cognition, behavior, clinical state, and human experience.

Computational neuroscience laboratory

A full stack for EEG science

SCCN connects EEGLAB, NEMAR, HED, shared datasets, scalable computation, independent component analysis, source modeling, quality control, and reproducible workflows into infrastructure for mature data-intensive EEG research and engineering.

Methods

Open tools and data systems

Core SCCN methods support analysis, annotation, data access, and reproducible EEG workflows.

EEGLAB

EEGLAB is an open-source MATLAB environment for processing continuous and event-related EEG, MEG, and related electrophysiological data. It combines an interactive graphical interface with an extensive scripting and plug

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NEMAR

NEMAR connects BIDS-formatted EEG, MEG, and iEEG datasets with OpenNeuro, quality visualization, and high-performance computing through SDSC and NSG. Browse and search openly shared EEG/MEG/iEEG datasets Validate metadat

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HED

Hierarchical Event Descriptors make experimental events machine-actionable and comparable across datasets by adding standardized, extensible event annotation. Visit HED ↗

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Research

Research themes

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MoBI laboratory with motion-capture cameras and a sensor suit on a stand

Real-world and multimodal neuroimaging

Simultaneously recording and modeling brain activity and body function, combining EEG, behavioral, and physiological measures such as ECG, EMG, eye-tracking, IMUs, and motion capture.

Finite element head model meshes used for EEG source modeling

Computational modeling and EEG foundation models

Applying independent component analysis, time-frequency analysis, statistical methods, and large brain foundation models to study the neural activity underlying cognition, perception, and awareness.

Participant wearing a high-density EEG cap and motion-capture suit in the MoBI lab

Next-generation, preventive brain-computer interfaces

Developing and validating predictive and forecasting BCIs, with the long-term goal of preventive interfaces that improve the prevention, diagnosis, and treatment of neurological diseases and injuries.

EEGLAB + NEMAR

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News

News and events

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SFN 2025 Open House

SCCN event listing preserved from the News & Events page.

Neuroscience 2023

SCCN event listing preserved from the News & Events page.