Descriptions

Much previous research has established that listeners and readers routinely generate context-based predictions that constrain perception and interpretation of language, but the form of this top-down/bottom-up interaction is still hotly debated. One critical question is how far down the processing hierarchy predictions are propagated—e.g. if ‘I heard a dog…’ predicts the word ‘bark’, does this modulate neural responses in units that represent lower-level speech sounds and acoustic features, as well as higher-level semantic units?


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Descriptions

Three researchers with the University of Maryland’s Brain and Behavior Initiative (BBI)— Assistant Professor Behtash Babadi (ECE), Professor Patrick Kanold (Biology), and Professor Wolfgang Losert (Physics/IPST/IREAP)— are part of an 11-investigator team that has won one of nine recent BRAIN Initiative U19 center grants awar


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Descriptions

Professor Prakash Narayan (ECE/ISR) is the Principal Investigator for a three-year, $475K National Science Foundation Communication and Information Foundations grant for “Reconstructing Multiple Sources by Spatial Sampling and Compression.”


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