John Hopkins UniversityKavli Neuroscience Discovery Institute

Applying transdisciplinary approaches to neuroscience to revolutionize our understanding of the brain

The goal of the Kavli Neuroscience Discovery Institute (Kavli NDI) is to unite the scientific enterprise at Johns Hopkins University to study the brain and to establish the global standard for integrative neuroscience research. Kavli NDI combines multiple scales of analyses across traditionally distinct research disciplines, be that the study of single molecules in a neuron, or the emergent patterns of cortical columnar dynamics, to address the most challenging questions in neuroscience. The Kavli NDI is a dynamic, multidisciplinary institute comprised of neuroscientists, engineers, and data scientists with a vision to interrogate the inner workings of the brain across broad spatial and temporal scales in order to understand how neurobiology ultimately reflects the essence of who we are.

FOUNDED 2015
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Leadership

Dwight Bergles

Director, Kavli Neuroscience Discovery Institute

Michael Miller

Co-Director, Kavli Neuroscience Discovery Institute

Natasha Hussain

Scientific Director, Kavli Neuroscience Discovery Institute

AREAS OF INQUIRY

  • NEUROEXPERIMENTS: Creative and rigorous experimentation provides the foundation for biological discovery. Understanding how the brain allows us to perceive, think, and interact with the world requires inventive experiments across multiple biological disciplines and observational scales. Kavli NDI researchers use engineering tools to conduct cutting-edge experiments to monitor and manipulate the brain at different scales.
  • NEUROENGINEERING: Discovery in neuroscience is increasingly dependent on developing and applying novel techniques, as underscored by the BRAIN (Brain Research through Advancing Innovative Neurotechnologies) Initiative. Kavli NDI develops novel technologies to measure, manipulate, and model brain behavior.
  • NEURODATA: Breakthroughs in understanding brain structure and function will depend on our ability to extract insights from large data sets. New neurodata tools, including mathematical and computational science, computing machinery, algorithms, and hardware architectures, will help convert experimental data into discovery, yielding new knowledge and understanding about the brain.

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At Kavli Institutes around the world, scientists explore the frontiers of science in the fields of astrophysics, nanoscience, neuroscience and theoretical physics.

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