Considerable progress has recently been made in natural language processing: deep
learning algorithms are increasingly able to generate, summarize, translate and classify …

A comprehensive neural model of language must accommodate four components:
representations, operations, structures and encoding. Recent intracranial research has …

Models that predict brain responses to stimuli provide one measure of understanding of a
sensory system and have many potential applications in science and engineering. Deep …

We define forward entrainment as that part of behavioral or neural entrainment that outlasts
the entraining stimulus. In this review, we examine conditions under which one may …

Speech processing is highly incremental. It is widely accepted that human listeners
continuously use the linguistic context to anticipate upcoming concepts, words, and …

We introduce a generalization of classic information-theoretic measures of predictive
uncertainty in online language processing, based on the simulation of expected …

Leveraging firsthand experience, BRAIN-funded investigators conducting intracranial
human neuroscience research propose two fundamental ethical commitments:(1) …

Selective attention-related top-down modulation plays a significant role in separating
relevant speech from irrelevant background speech when vocal attributes separating …

Language and music involve the productive combination of basic units into structures. It
remains unclear whether brain regions sensitive to linguistic and musical structure are co …

The mammalian frontal and auditory cortices are important for vocal behavior. Here, using
local-field potential recordings, we demonstrate that the timing and spatial patterns of …