Laboratory for Computational
work focuses on understanding how the human brain perceives the world, how it
learns, and how it controls our movements.
We study actions of healthy people, as well as people with
neurological disorders. We look for
regularities and use mathematics to ask about the origins of these
regularities. Our approach is
non-invasive, aiming to never harm.
Our tools include robotics, brain stimulation, and neuroimaging. We have two long-term aims: 1) to understand the basic function of the
motor structures of the brain including the cerebellum, the motor cortex, and
the parietal cortex; and 2) to understand the relationship between how our
brain controls our movements, and how it controls our decisions.
410 Traylor Building
We built a robotic system to measure motor control in healthy
people and patients with neurological disorders.
We use transcranial magnetic
stimulation to activate specific regions of the brain to investigate how
they contribute to control of movements.
We were the first group in the world to build an MRI
compatible robot and used it to measure correlates of neural activity in
the brain during learning and adaptation.
We built a two-arm robotic system to help investigate
coordination and control in healthy people and in patients with
We measure eye movements and quantify how the brain integrates
visual information with proprioceptive information.
We first the first group in the world to use positron emission
tomography (PET) to measure neural correlates of motor adaptation in the
In collaboration with Dr. Fred Lenz in Hopkins Neurosurgery,
we record from single cells in the brain during adaptive control of
In collaboration with Dr. David Zee in Hopkins Neurology, we
measure eye trajectory during saccades in order to better understand
control of eye movements in healthy people and in patients with