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Related Experiment Video

Updated: Oct 15, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

Automatic classification of ICA components from infant EEG using MARA.

I Marriott Haresign¹, E Phillips¹, M Whitehorn¹

¹Department of Psychology, University of East London, London, UK.

Developmental Cognitive Neuroscience

|October 29, 2021

Summary

A new automated system, iMARA, effectively identifies and removes artifactual Independent Component Analysis (ICA) components from infant electroencephalography (EEG) data. This tool significantly improves upon adult classifiers for pediatric research, aiding developmental neuroscience.

Failed At:

2026-06-19T13:39:13.728170+00:00

Keywords:

Artifact correction Deep learning EEG Event-related potentials (ERP)Independent component analysis (ICA)

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