Proprioception, the sense of self-movement and
body position, is critical for the effective control of motor behavior. Humans
lacking proprioceptive feedback, such as patients with peripheral nerve damage,
are unable to maintain limb posture or coordinate fine-scale movements of the
arms and legs. However, we currently know very little about how proprioceptive
stimuli are detected by sensory neurons, processed by neural circuits, and
subsequently used to guide behavior. To understand the neural computations that
occur in sensorimotor circuits, my lab studies the compact nervous system of
the genetic model organism, Drosophila. We combine genetic tools with calcium
imaging, electrophysiology, and 3D behavioral tracking to understand how the
fly nervous systems senses the limbs and uses proprioceptive feedback to
control its body. Because the basic building blocks of invertebrate and
vertebrate brains are fundamentally similar, the general principles of neural
computation discovered in the fruit fly will be highly relevant to
proprioceptive processing and motor control in other animals.
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