The streams of sounds we typically attend to abound in acoustic regularities. Neural
entrainment is seen as an important mechanism that the listening brain exploits to attune to …

Speech and music have structured rhythms. Here we discuss a major acoustic correlate of
spoken and musical rhythms, the slow (0.25–32 Hz) temporal modulations in sound intensity …

Deep neural network models of sensory systems are often proposed to learn
representational transformations with invariances like those in the brain. To reveal these …

A core goal of auditory neuroscience is to build quantitative models that predict cortical
responses to natural sounds. Reasoning that a complete model of auditory cortex must solve …

Recognizing sounds implicates the cerebral transformation of input waveforms into semantic
representations. Although past research identified the superior temporal gyrus (STG) as a …

The human superior temporal gyrus (STG) is critical for extracting meaningful linguistic
features from speech input. Local neural populations are tuned to acoustic-phonetic features …

How is music represented in the brain? While neuroimaging has revealed some spatial
segregation between responses to music versus other sounds, little is known about the …

Does brain asymmetry for speech and music emerge from acoustical cues or from domain-
specific neural networks? We selectively filtered temporal or spectral modulations in sung …

The organization of human auditory cortex remains unresolved, due in part to the small
stimulus sets common to fMRI studies and the overlap of neural populations within voxels …

Speech comprehension requires that the brain extract semantic meaning from the spectral
features represented at the cochlea. To investigate this process, we performed an fMRI …