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 …

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 …

A brain–computer interface that decodes continuous language from non-invasive recordings
would have many scientific and practical applications. Currently, however, non-invasive …

High-performing neural networks for vision have dramatically advanced our ability to
account for neural data in biological systems. Recently, further improvement in performance …

Abstract Representations from transformer-based unidirectional language models are
known to be effective at predicting brain responses to natural language. However, most …

Music is core to human experience, yet the precise neural dynamics underlying music
perception remain unknown. We analyzed a unique intracranial electroencephalography …

Speech perception is thought to rely on a cortical feedforward serial transformation of
acoustic into linguistic representations. Using intracranial recordings across the entire …

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 …

Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the
validity of models we derive from highly-controlled experiments in real-world contexts. In …

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