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Home > Research > Research Centers > Auditory Cognition Center > Faculty

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  • Xiaoqin Wang, Ph.D.

    Director,Tsinghua Laboratory of Brain and Intelligence

    Professor of Biomedical Engineering, Neuroscience and Otolaryngology, Johns Hopkins University


    2017- current: Director,Tsinghua Laboratory of Brain and Intelligence

    2010-current: Professor, Department of Biomedical Engineering, Tsinghua University

    2008-2017: Director of Tsinghua University - Johns Hopkins University Joint Research Center for Biomedical Engineering

    1995-current: Assistant professor, Associate Professor, Professor, Department of Biomedical Engineering/Neuroscience, Johns Hopkins University

    1991-1995 Postdoctoral fellow, University of California, San Francisco

    1986-1991 Doctor of Biomedical Engineering, Johns Hopkins University

    1985-1986 M.S. in Electrical Engineering and Computer Science, University of Michigan

    1980-1984 Bachelor of Radio Electronics, Sichuan University


    Our laboratory is interested in understanding the neural basis of auditory perception and vocal communication in a naturalistic environment. We are interested in revealing neural coding mechanisms operating in the cerebral cortex and how cortical representations of biologically important sounds emerge through development and learning. Perception and production of communication sounds (e.g. human speech and animal vocalizations) are among the most important behaviors of humans and many animals species. Because of the complexity and behavioral importance of communication sounds, understanding their neural representations in the cerebral cortex will help reveal computational principles that the brain uses to process a wide range of sounds we experience daily such as speech and music. Understanding how the brain processes such sounds will provide invaluable insights into neural mechanisms underlying human language perception as well as how the brain functions during social interactions. We use a combination of neurophysiological methods and state-of-the-art engineering and computational techniques to tackle our research questions.


Tsinghua University The Future Lab-Tsinghua University Computer Science and Technology Electronic Engineering Biomedical Engineering THU Education Foundation School of Medicine Department of Psychology Department of Automation

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