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Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG.

Samuel Gibbon, Adam Attaheri, Áine Ní Choisdealbha, Sinead Rocha, Perrine Brusini, Natasha Mead, Panagiotis Boutris, Helen Olawole-Scott, Henna Ahmed, Sheila Flanagan, Kanad Mandke, Mahmoud Keshavarzi, Usha Goswami

OAI: oai:www.repository.cam.ac.uk:1810/322445 • DOI: 10.17863/CAM.69903

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Abstract

convolutional neural network Developmental Language Disorders EEG Infancy Machine Learning Rhythm Child Electroencephalography Humans Infant Machine Learning Neural Networks Computer speech Support Vector Machine