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Full-Text Articles in Social and Behavioral Sciences
Perceptual Benefits From Long-Term Exposure To Naturalistic Sound Patterns, Bruno A. Mesquita
Perceptual Benefits From Long-Term Exposure To Naturalistic Sound Patterns, Bruno A. Mesquita
Electronic Thesis and Dissertation Repository
Our brains are proficient in learning recurring structures in the environment, in order to optimize perceptual inferences based on relevant information in a stochastic input. Sensory information is multi-dimensional, and the relationship between sound dimensions may be, in itself, a source of information. Many sounds in our environment covary dynamically, and these covariances may be learned, and therefore shape our perception, through exposure to them in our natural environment. In the present study we investigate how natural (long term), and experimental (short term), learning of statistical regularities in sounds may shape our ability to categorize them (Experiment 1) and to …
The Role Of Top-Down Attention In Statistical Learning Of Speech, Stacey Reyes
The Role Of Top-Down Attention In Statistical Learning Of Speech, Stacey Reyes
Electronic Thesis and Dissertation Repository
Statistical learning (SL) refers to the ability to extract regularities in the environment and has been well-documented to play a key role in speech segmentation and language acquisition. Whether SL is automatic or requires top-down attention is an unresolved question, with conflicting results in the literature. The current proposal tests whether SL can occur outside the focus of attention. Participants either focused towards, or diverted their attention away from an auditory speech stream made of repeating nonsense trisyllabic words. Divided-attention participants either performed a concurrent visual task or a language-related task during exposure to the nonsense speech stream, while control …
Neural Entrainment Indexes Statistical Learning In Children, Christine Moreau
Neural Entrainment Indexes Statistical Learning In Children, Christine Moreau
Electronic Thesis and Dissertation Repository
Statistical learning is proposed as a mechanism for discovering structural patterns in speech through incidental exposure. However, studies have largely relied on assessing explicit memory after learning has occurred, which does not capture the time course and process of statistical learning per se. To better understand the dynamics of statistical learning, we assessed 8- to 12-year-old children using an EEG measure of learning, which captures changes in neural entrainment to words embedded in a continuous artificial language. Statistical learning was assessed post-learning using implicit and explicit behavioural tests. The neural entrainment results demonstrated rapid learning of word-level information, while post-learning …