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  • Suchi Saria Lab

    The Suchi Saria Lab, part of the Institute for Computational Medicine, explores topics within the fields of machine learning and computational statistics, with a focus on computational solutions for problems in health informatics. Our team investigates the applications of machine learning and computational statistics to domains where one has to draw inferences from observing a complex, real-world system evolve over time. We use Bayesian and probabilistic graphical modeling approaches to address the challenges that emerge with modeling and prediction in real-world temporal systems.

    Research Areas: mobile health, machine learning, patient safety, informatics, big data

    Principal Investigator

    Suchi Saria, M.Sc., Ph.D.

    Department

    Health Sciences Informatics

  • Vikram Chib Lab

    The goals of the Vikram Chib Lab are to understand how the nervous system organizes the control of movement and how incentives motivate our behaviors. To better understand neurobiological control, our researchers are seeking to understand how motivational cues drive our motor actions. We use an interdisciplinary approach that combines robotics with the fields of neuroscience and economics to examine neuroeconomics and decision making, motion and force control, haptics and motor learning, image-guided surgery and soft-tissue mechanics.

    Research Areas: soft-tissue mechanics, robotics, motor learning, neuroeconomics, movement, neurobiological control, neuroscience, image-guided surgery, economics, decision making, nervous system

  • Zanvyl Krieger Mind/Brain Institute

    The Zanvyl Krieger Mind/Brain Institute is dedicated to the study of the neural mechanisms of higher brain functions using modern neurophysiological, anatomical and computational techniques. Our researchers use various approaches to understand information processing and its influence on perception, memory, abstract thought, complex behavior and consciousness. Systems and cognitive laboratories use neurophysiology, brain imaging and psychophysics to develop a quantitative, network-level understanding of cognitive information processing. Other researchers use analytical approaches such as system identification, dimensionality reduction, information theory and network modeling to understand information processing. Other areas of research in the Institute include the study of how visual and tactile information processing leads to perception and understanding of two- and three-dimensional objects. Another focus is on neural processing and recognition of speech and other complex sounds. St...ill other laboratories study neural mechanisms of attention, memory formation, motor learning, decision-making and executive control of behavior. view less

    Research Areas: brain, neurophysiology, consciousness, neuroscience, perception

    Lab Website

    Principal Investigator

    Charles Connor, Ph.D.

    Department

    Neuroscience

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