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

Understanding the computational algorithm that gives rise to human language is a shared
endeavor among neuroscience, linguistics, and machine learning. We propose a conceptual …

Vowels, a fundamental component of human speech across all languages, are cued
acoustically by formants, resonance frequencies of the vocal tract shape during speaking …

Objective To systematically search the literature and organize relevant advancements in the
connection between tinnitus and the activity of different functional brain regions using …

Listening to speech with poor signal quality is challenging. Neural speech tracking of
degraded speech has been used to advance the understanding of how brain processes and …

Humans can easily tune in to one talker in a multitalker environment while still picking up
bits of background speech; however, it remains unclear how we perceive speech that is …

Narcissism is a multifaceted construct often linked to pathological conditions whose neural
correlates are still poorly understood. Previous studies have reported inconsistent findings …

In natural" active" vision, humans and other primates use eye movements (saccades) to
sample bits of information from visual scenes. In the visual cortex, non-retinal signals linked …

Recently, the computational neuroscience community has pushed for more transparent and
reproducible methods across the field. In the interest of unifying the domain of auditory …

Deep neural networks (DNNs) trained by self-supervised learning (SSL) have recently been
shown to produce representations similar to brain activations for the same speech input …