ArticlePloS one2016
Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exercise as an Alternative Approach for Treating Smartphone Addiction: A Systematic Review and Meta-Analysis of Random Controlled Trials.International journal of environmental research and public health · 2019Pooled it
- Autism Spectrum Disorder in Children: Early Signs and Therapeutic Interventions.Children (Basel, Switzerland) · 2024Review
- The relationship between nighttime exercise and problematic smartphone use before sleep and associated health issues: a cross-sectional study.BMC public health · 2024Article
- Prediction of autism in infants: progress and challenges.The Lancet. Neurology · 2023Review
- From real-time adaptation to social learning in robot ecosystems.Frontiers in robotics and AI · 2023Article
- On the Emergence of Phonological Knowledge and on Motor Planning and Motor Programming in a Developmental Model of Speech Production.Frontiers in human neuroscience · 2022Article
- Brain-inspired model for early vocal learning and correspondence matching using free-energy optimization.PLoS computational biology · 2021Article
- Exploratory dynamics of vocal foraging during infant-caregiver communication.Scientific reports · 2020Article
- Effect of maternal depression on infant-directed speech to prelinguistic infants: Implications for language development.PloS one · 2020Article
- Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks.Frontiers in artificial intelligence · 2020Article
- The Emergence of Discrete Perceptual-Motor Units in a Production Model That Assumes Holistic Phonological Representations.Frontiers in psychology · 2019Article
- The social functions of babbling: acoustic and contextual characteristics that facilitate maternal responsiveness.Developmental science · 2018Article
- Does shape affect function? Articulatory skills in babbling of infants with deformational plagiocephaly.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2018Article
- The Social Feedback Hypothesis and Communicative Development in Autism Spectrum Disorder: A Response to Akhtar, Jaswal, Dinishak, and Stephan (2016).Psychological science · 2016Article
Corrections and comments
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
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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