Implicit Learning and the Detection of Sequential Patterns in a Random Background

How does the brain detect meaningful sounds in noisy environments, such as following a conversation in a crowded room? In this talk, Zsuzsanna Kocsis, faculty member in the Neuroscience Institute at Carnegie Mellon University, explores how the brain separates important sounds from background noise using EEG recordings. She will also show how implicit learning allows listeners to detect repeating sound patterns more quickly and accurately, even days later, demonstrating how the brain learns, stores and predicts complex auditory information.
 

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Department of Psychology

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