By developing advanced nanofabrication tools for manufacturing ultra-dense, ultra-flexible electrode arrays, we are creating a new class of electromyography (EMG) electrodes capable of recording large populations of single-unit recordings from muscle fibers during behavior.
By combining advanced neuroanatomical methods with behavioral and pharmacological manipulations, we investigate the neural mechanisms of learning.
By combining long-term manipulations of auditory feedback with mathematical models of sensorimotor learning, we reveal the computational principles underlying vocal learning.
By analyzing single-unit recordings from neurons and muscle fibers during complex behaviors in songbirds (and, more recently, rodents), we examine how the brain regulates precisely-timed spike patterns to control agile behavior.
