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Research interests
My research goal is to identify and model the representational and computational characteristics of the brain regions involved in naturalistic speech communication. Our understanding of how this process works is fragmentary because we do not yet have a complete model of the underlying neurophysiological mechanisms enabling this cognitive ability.
My interdisciplinary approach incorporates theoretical and experimental techniques in invasive and non-invasive human neurophysiology, neural network models for speech processing, and computational neuroscience. Better models of the neural mechanisms involved in human speech communication can critically impact research in artificial intelligence, neurolinguistics, systems neuroscience, and translational medicine.
My research goal is to identify and model the representational and computational characteristics of the brain regions involved in naturalistic speech communication. Our understanding of how this process works is fragmentary because we do not yet have a complete model of the underlying neurophysiological mechanisms enabling this cognitive ability.
My interdisciplinary approach incorporates theoretical and experimental techniques in invasive and non-invasive human neurophysiology, neural network models for speech processing, and computational neuroscience. Better models of the neural mechanisms involved in human speech communication can critically impact research in artificial intelligence, neurolinguistics, systems neuroscience, and translational medicine.
研究兴趣
论文共 156 篇作者统计合作学者相似作者
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Vishal Choudhari,Cong Han,Stephan Bickel,Ashesh D. Mehta,Catherine Schevon,Guy M McKhann,Nima Mesgarani
biorxiv(2024)
Imaging Neuroscience (2024)
Matthew K. Leonard, Laura Gwilliams,Kristin K. Sellers,Jason E. Chung,Duo Xu, Gavin Mischler,Nima Mesgarani,Marleen Welkenhuysen,Barundeb Dutta,Edward F. Chang
arxiv(2023)
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