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Olawole-Scott, H.
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Olawole-Scott, H.
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Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG
by
Ahmed, H.
,
Attaheri, A.
,
Boutris, P.
,
Brusini, P.
,
Flanagan, S.
,
Gibbon, S.
,
Goswami, U.
,
Keshavarzi, M.
,
Mandke, K.
,
Mead, N.
,
Ní Choisdealbha, Á
,
Olawole
-
Scott
,
H
.
,
Rocha, S.
Published 2021
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Related Subjects
Article
Child
Convolutional Neural Network
Developmental Language Disorders
EEG
Electroencephalography
Humans
Infancy
Infant
Machine Learning
Neural Networks, Computer
Rhythm
Speech
Support Vector Machine
accuracy
algorithm
architecture
area under the curve
artificial neural network
cesarean section
child
convolutional neural network
developmental language disorder
electroencephalogram
electroencephalography
female
functional magnetic resonance imaging
human
infant
latent period
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