A Neural Network Model of Lexical-Semantic Competition During Spoken Word Recognition

A Neural Network Model of Lexical-Semantic Competition During Spoken Word Recognition

Visual world studies show that upon hearing a word in a target-absent visual context containing related and unrelated items, toddlers and adults briefly direct their gaze toward phonologically related items, before shifting toward semantically and visually related ones. We present a neural network m...

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Bibliographic Details
Main Authors: Mihaela Duta, Kim Plunkett
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Human Neuroscience
Subjects:
language
attention
neuro-computational models
visual world task
machine learning
lexical competition
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.700281/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2021.700281/full

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