Despite enormous progress in machine learning, artificial neural networks still lag behind
brains in their ability to generalize to new situations. Given identical training data …

We might be forced to listen to a high-frequency tone at our audiologist's office or we might
enjoy falling asleep with a white-noise machine, but the sounds that really matter to us are …

The decoding of selective auditory attention from noninvasive electroencephalogram (EEG)
data is of interest in brain computer interface and auditory perception research. The current …

The human superior temporal gyrus (STG) is critical for speech perception, yet the
organization of spectrotemporal processing of speech within the STG is not well understood …

The computation represented by a sensory neuron's response to stimuli is constructed from
an array of physiological processes both belonging to that neuron and inherited from its …

The generation of acoustic communication signals is widespread across the animal
kingdom,, and males of many species, including Drosophilidae, produce patterned courtship …

Humans and animals can reliably perceive behaviorally relevant sounds in noisy and
reverberant environments, yet the neural mechanisms behind this phenomenon are largely …

Vocal communicators such as humans and songbirds readily recognize individual
vocalizations, even in distracting auditory environments. This perceptual ability is likely …

Mammalian neocortex is characterized by a layered architecture and a common or
“canonical” microcircuit governing information flow among layers. This microcircuit is thought …

A key problem in computational neuroscience is to find simple, tractable models that are
nevertheless flexible enough to capture the response properties of real neurons. Here we …