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Explore the neural mechanisms underlying speech perception and word recognition in this comprehensive lecture that examines how the brain processes temporally distributed phonemic information into coherent syllables and words. Delve into an emerging neural model that addresses fundamental questions about speech code representation, temporal integration of phonemic information, and invariant property extraction from variable-rate speech. Learn about rate-dependent category boundaries that emerge from feedback interactions between working memory for phonetic item storage and list categorization networks for sequence grouping. Discover how conscious speech and word recognition operates through resonant waves that emerge when sequential phonemic activation in working memory provides bottom-up input to unitized representations or list chunks. Understand the competitive dynamics of list chunks as they integrate bottom-up information and provide top-down support through feedback mechanisms that amplify consistent items while suppressing inconsistent ones. Examine how resonance creates emergent conscious percepts and influences perception across silence intervals, enabling future sounds to affect past sound interpretation. Investigate acoustic signal preprocessing through parallel auditory streams responding to transient and sustained acoustic properties, and learn how cross-stream automatic gain control contributes to invariant speech representation from variable-rate speech. The presentation includes quantitative simulations of challenging speech and word recognition data, supported by research on perceptual order, context effects, variable-rate speech categorization, and duration-dependent backward effects in speech perception.
