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Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity

At around 7 months of age, human infants begin to reliably produce well-formed syllables containing both consonants and vowels, a behavior called canonical babbling. Over subsequent months, the frequency of canonical babbling continues to increase. How the infant’s nervous system supports the acquis...

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Autores principales: Warlaumont, Anne S., Finnegan, Megan K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726623/
https://www.ncbi.nlm.nih.gov/pubmed/26808148
http://dx.doi.org/10.1371/journal.pone.0145096
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author Warlaumont, Anne S.
Finnegan, Megan K.
author_facet Warlaumont, Anne S.
Finnegan, Megan K.
author_sort Warlaumont, Anne S.
collection PubMed
description At around 7 months of age, human infants begin to reliably produce well-formed syllables containing both consonants and vowels, a behavior called canonical babbling. Over subsequent months, the frequency of canonical babbling continues to increase. How the infant’s nervous system supports the acquisition of this ability is unknown. Here we present a computational model that combines a spiking neural network, reinforcement-modulated spike-timing-dependent plasticity, and a human-like vocal tract to simulate the acquisition of canonical babbling. Like human infants, the model’s frequency of canonical babbling gradually increases. The model is rewarded when it produces a sound that is more auditorily salient than sounds it has previously produced. This is consistent with data from human infants indicating that contingent adult responses shape infant behavior and with data from deaf and tracheostomized infants indicating that hearing, including hearing one’s own vocalizations, is critical for canonical babbling development. Reward receipt increases the level of dopamine in the neural network. The neural network contains a reservoir with recurrent connections and two motor neuron groups, one agonist and one antagonist, which control the masseter and orbicularis oris muscles, promoting or inhibiting mouth closure. The model learns to increase the number of salient, syllabic sounds it produces by adjusting the base level of muscle activation and increasing their range of activity. Our results support the possibility that through dopamine-modulated spike-timing-dependent plasticity, the motor cortex learns to harness its natural oscillations in activity in order to produce syllabic sounds. It thus suggests that learning to produce rhythmic mouth movements for speech production may be supported by general cortical learning mechanisms. The model makes several testable predictions and has implications for our understanding not only of how syllabic vocalizations develop in infancy but also for our understanding of how they may have evolved.
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spelling pubmed-47266232016-02-03 Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity Warlaumont, Anne S. Finnegan, Megan K. PLoS One Research Article At around 7 months of age, human infants begin to reliably produce well-formed syllables containing both consonants and vowels, a behavior called canonical babbling. Over subsequent months, the frequency of canonical babbling continues to increase. How the infant’s nervous system supports the acquisition of this ability is unknown. Here we present a computational model that combines a spiking neural network, reinforcement-modulated spike-timing-dependent plasticity, and a human-like vocal tract to simulate the acquisition of canonical babbling. Like human infants, the model’s frequency of canonical babbling gradually increases. The model is rewarded when it produces a sound that is more auditorily salient than sounds it has previously produced. This is consistent with data from human infants indicating that contingent adult responses shape infant behavior and with data from deaf and tracheostomized infants indicating that hearing, including hearing one’s own vocalizations, is critical for canonical babbling development. Reward receipt increases the level of dopamine in the neural network. The neural network contains a reservoir with recurrent connections and two motor neuron groups, one agonist and one antagonist, which control the masseter and orbicularis oris muscles, promoting or inhibiting mouth closure. The model learns to increase the number of salient, syllabic sounds it produces by adjusting the base level of muscle activation and increasing their range of activity. Our results support the possibility that through dopamine-modulated spike-timing-dependent plasticity, the motor cortex learns to harness its natural oscillations in activity in order to produce syllabic sounds. It thus suggests that learning to produce rhythmic mouth movements for speech production may be supported by general cortical learning mechanisms. The model makes several testable predictions and has implications for our understanding not only of how syllabic vocalizations develop in infancy but also for our understanding of how they may have evolved. Public Library of Science 2016-01-25 /pmc/articles/PMC4726623/ /pubmed/26808148 http://dx.doi.org/10.1371/journal.pone.0145096 Text en © 2016 Warlaumont, Finnegan http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Warlaumont, Anne S.
Finnegan, Megan K.
Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity
title Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity
title_full Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity
title_fullStr Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity
title_full_unstemmed Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity
title_short Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity
title_sort learning to produce syllabic speech sounds via reward-modulated neural plasticity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726623/
https://www.ncbi.nlm.nih.gov/pubmed/26808148
http://dx.doi.org/10.1371/journal.pone.0145096
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