The use of vocalizations to communicate information and elaborate social bonds is an
adaptation seen in many vertebrate species. Human speech is an extreme version of this …

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 …

It has been observed in many songbird species that populations in noisy urban areas sing
with a higher minimum frequency than do matched populations in quieter, less developed …

From single‐cell organisms to complex neural networks, all evolved to provide control
solutions to generate context‐and goal‐specific actions. Neural circuits performing …

Songbirds and humans share the ability to adaptively modify their vocalizations based on
sensory feedback. Prior studies have focused primarily on the role that auditory feedback …

The thalamostriatal system is a major network in the mammalian brain, originating
principally from the intralaminar nuclei of thalamus. Its functions remain unclear, but a subset …

Dopamine is hypothesized to convey error information in reinforcement learning tasks with
explicit appetitive or aversive cues. However, during motor skill learning feedback signals …

Traditional theories of sensorimotor learning posit that animals use sensory error signals to
find the optimal motor command in the face of Gaussian sensory and motor noise. However …

Often, during daily experiences, hearing peers' actions can activate motor regions of the
CNS. This activation is termed auditory–motor resonance (AMR) and is thought to represent …

The problem of deciphering how low-level patterns (action potentials in the brain, amino
acids in a protein, etc.) drive high-level biological features (sensorimotor behavior …