Findings from cognitive neuroscientists Hickok and Saberi will be critical in guiding clinical research on disorders including autism, schizophrenia and stroke-induced aphasia


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Findings will aid in development of new treatments for victims of stroke and individuals with autism and schizophrenia


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HABLA program prepares toddlers for kindergarten and beyond


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Robot designed by cognitive scientist Jeff Krichmar helps researchers learn how brain adapts to environment


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Using a new mathematical framework, researchers suggest they may be able to account for the large number of unknowns that current probability theory does not address; applications in political science, economics, psychology


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Study headed by cognitive scientist Mike D’Zmura focused on creating a thought-based communication system; may lead to ability to “speak” without uttering a word; implications extend from healthcare to law enforcement


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Inaugural recipient of the Center for Cognitive Neuroscience's (CCNS) summer fellowship studies what it's like to see - and understand - the world in reverse


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UC Irvine researcher awarded $1.6 million to study attention processes and training for improved performance


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Undergraduate psychology major Leyna Vo returns to her roots in order to impact Vietnamese mental healthcare


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Findings could lead to advances in hearing aid technology


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Cognitive scientist Barbara Sarnecka leads study on how children understand number concepts; findings may lead to better methods for teaching math


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Using fMRI, cognitive scientist Emily Grossman studies how we learn by observing actions of others; findings help researchers understand how brain areas communicate with one another, helps treat those with brain abnormalities


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Cognitive scientist Michael Lee develops mathematical and computational models to do your thinking for you; models provide insight on best possible decision when too much – or too little – information is available; used in oil, defense and tech industries


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Cognitive scientist uses mathematical and computational models to make machines “more human-like” in their thought processes, retrieving not only what they are told, but also what is inferred; technology has implications for defense and tech industry


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