Humans have a unique ability to produce and consume rich, complex, and varied language
in order to communicate ideas to one another. Still, outside of natural reading, the most …

There is increasing evidence that the brain relies on a set of canonical neural computations,
repeating them across brain regions and modalities to apply similar operations to different …

Perceptions, thoughts, and actions unfold over millisecond timescales, while learned
behaviors can require many days to mature. While recent experimental advances enable …

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 auditory system must represent sounds with a wide range of statistical properties. One
important property is the spectrotemporal contrast in the acoustic environment: the variation …

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 …

Identifying behaviorally relevant sounds in the presence of background noise is one of the
most important and poorly understood challenges faced by the auditory system. An elegant …

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 …

Cortical layers (L) 5 and 6 are populated by intermingled cell-types with distinct inputs and
downstream targets. Here, we made optogenetically guided recordings from L5 corticofugal …

Understanding how populations of neurons encode information is the challenge faced by
researchers in the field of neural coding. Focusing on the many mysteries and marvels of the …