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Acquiring of new word meaning by auditory-motor associations in trial-and-error learning paradigmтезисы доклада
- Авторы: Chernyshev B.V., Zhukova A.A., Nikolaeva A.Yu, Prokofyev A.O., Pronko P.K., Stroganova T.A.
- Сборник: The 10-th Annual conference Embodied and Situated Language Processing (ESLP)
- Тезисы
- Год издания: 2017
- Место издания: Higher School of Economics Moscow, Russia
- Первая страница: 44
- Последняя страница: 45
- Аннотация: According to the embodied cognition theory, speech is largely based on the body motor and sensory experience. The question, which is crucial for our understanding of the origin of language, is how our brain transforms sensory-motor experience into word meaning. We have developed an auditory-motor experimental procedure that allowed investigating neural underpinning of word meaning acquisition by way of associative "trial-and-error" learning that mimics important aspects of natural word learning. Participants were presented with eight pseudowords; four of them were assigned to specific body part movements during the course of learning – through commencing actions by one of participant’s left or right extremities and receiving a feedback. The other pseudowords did not require actions, and were used as controls. Magnetoencephalogram was recorded during passive listening of the pseudowords before and after learning. The cortical sources of the magnetic evoked responses were reconstructed using distributed source modeling (MNE software). Neural responses to newly learnt words were significantly enhanced as compared to control pseudowords in a number of temporal and frontal cortical regions surrounding the Sylvan fissure of the left hemisphere. Learning-related cortical activation was inversely related to the number of trials needed to acquire the word meaning (this value varied between participants from 74 to 480 trials to the learning criterion). Our findings revealed a neural signature of associative learning of meaning of nonsense words and highlighted the role of sensory-motor transformation for association-grounded word semantics.
- Добавил в систему: Чернышев Борис Владимирович