Vocal learning is a behavioral trait in which the social and acoustic environment shapes the
vocal repertoire of individuals. Over the past century, the study of vocal learning has …

Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …

Our nervous systems can learn optimal control policies in response to changes to our
bodies, tasks, and movement contexts. For example, humans can learn to adapt their control …

Songbirds provide a powerful model system for studying sensory-motor learning. However,
many analyses of birdsong require time-consuming, manual annotation of its elements …

In a recent study, Tan et al.(2014a, b) showed that the increase in β-power typically
observed after a movement above sensorimotor regions (β-rebound) is attenuated when …

Although the brain relies on auditory information to calibrate vocal behavior, the neural
substrates of vocal learning remain unclear. Here we demonstrate that lesions of the …

Songbirds acquire songs by imitation, as humans do speech. Although imitation should
drive convergence within a group and divergence through drift between groups, zebra finch …

Humans adjust speech amplitude as a function of distance from a listener; we do so in a
manner that would compensate for such distance. This ability is presumed to be the product …

Many motor behaviors, from walking to speaking, are acquired through experience, in
particular, through trial-and-error learning. The acquisition and maintenance of such motor …

Studies of motor control have almost universally examined firing rates to investigate how the
brain shapes behavior. In principle, however, neurons could encode information through the …