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Frequently Asked Questions: About the Institute

  • What is the Institute for Learning and Brain Sciences? Is it part of the University of Washington?
  • Who runs the Institute?
  • What are the typical scientific backgrounds of the Institute's scientists?
  • What kind of research takes place at the Institute?
  • What are some examples of topics you are researching right now?


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    What is the Institute for Learning and Brain Sciences? Is it part of the University of Washington?

      The Institute is an interdisciplinary research unit created to conduct innovative research on lifelong learning and the brain using both behaviorial and neuroscience methods. It is part of the UW, although it is not a traditional academic "department," because our scientists come from a number of different disciplines.


    Who runs the Institute?

      Drs. Patricia K. Kuhl and Andrew N. Meltzoff are the Institute's Co-Directors. Dr. Kuhl is a professor of Speech and Hearing Sciences and specializes in language and the brain. Dr. Meltzoff is a professor of Psychology and specializes in cognition and social understanding.


    What are the typical scientific backgrounds of the Institute's scientists?

      The academic backgrounds of our scientists lend themselves to interdisciplinary collaboration. Scientists come from:

    • Neuroscience
    • Linguistics
    • Speech & Hearing Sciences
    • Psychology
    • Computer Science & Engineering
    • Education
      In addition to these areas, the Institute also plans to include researchers in genetics, artificial intelligence, and other disciplines in the future.

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    What kind of research takes place at the Institute?

      We do research on learning and the brain over the lifespan -- from infancy through adulthood. Specifically, we investigate the thought processes and behaviors that reveal how minds and brains develop and grow. To accomplish our goals, we combine behavioral research methods with brain-imaging techniques.

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    What are some examples of topics you are researching right now?

      The following research themes are of special interest to our investigators:



      Milestones of Learning and Development

      Institute scientists are exploring the basic principles of human learning and development. Topics include cognitive, linguistic, personality, and social-emotional growth. Researchers focus on identifying crucial behavioral milestones and how they are influenced by the environment and culture.

      Brain Plasticity and Mechanisms of Developmental Change

      Scientists have discovered that learning is not equivalent over the lifespan. In many domains, young children learn more quickly and efficiently than adults, demonstrating "windows of opportunity" for learning. Institute researchers are investigating the brain mechanisms that underlie the opening and closing of windows of opportunity for learning. Increased knowledge about neural plasticity and mechanisms of change has profound long-range implications for maximizing human potential and lifelong learning (e.g., acquiring a second language).

      Links Connecting Brain and Behavior

      A fundamental goal in neuroscience is to link mind and brain, connecting changes in behavior with changes in the brain. State-of-the-art brain mapping technologies allow noninvasive measures to be made across the lifespan. Both brain and behavior are measured in the same individuals and across time.

      Nature and Nurture

      Institute scientists study the intricate interweaving of nature and nurture in human development. Modern advances in genetics and behavioral science will allow us to address this in new ways. A critical question for society is whether the abilities shown by infants and young children predict their future outcomes. Institute scientists will investigate continuity and predictability between early and later life.

      Computer Learning vs. Biological Learning

      Humans are exquisite learning machines. Our brains are wired to learn in interaction with the world, re-programming themselves over time. Computers, on the other hand, do not readily learn by experience. This opens an exciting interface between computer and child learning. Institute scientists use models of human learning to design machines that learn more efficiently. Conversely, artificial intelligence is used to illuminate human learning.


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