Sensitivity to sound-level statistics is crucial for optimal perception, but research has focused
mostly on neurophysiological recordings, whereas behavioral evidence is sparse. We use …

The perception of sound textures, a class of natural sounds defined by statistical sound
structure such as fire, wind, and rain, has been proposed to arise through the integration of …

Auditory neurons must represent accurately a wide range of sound levels using firing rates
that vary over a far narrower range of levels. Recently, we demonstrated that this “dynamic …

Human perception fluctuates with the phase of neural oscillations in the presence of
environmental rhythmic structure by which neural oscillations become entrained. However …

Adaptation to both common and rare sounds has been independently reported in
neurophysiological studies using probabilistic stimulus paradigms in small mammals …

The human brain extracts statistical regularities embedded in real-world scenes to sift
through the complexity stemming from changing dynamics and entwined uncertainty along …

Musicians have lifelong experience parsing melodies from background harmonies, which
can be considered a process analogous to speech perception in noise. To investigate the …

Optimal perception requires efficient and adaptive neural processing of sensory input.
Neurons in nonhuman mammals adapt to the statistical properties of acoustic feature …

Our ability to parse our acoustic environment relies on the brain's capacity to extract
statistical regularities from surrounding sounds. Previous work in regularity extraction has …

To make sense of our ever-changing world, our brains search out patterns. This drive can be
so strong that the brain imposes patterns when there are none. The opposite can also occur …