Biological and artificial information processing systems form representations that they can
use to categorize, reason, plan, navigate, and make decisions. How can we measure the …

Neural systems have evolved to process sensory stimuli in a way that allows for efficient and
adaptive behavior in a complex environment. Recent technological advances enable us to …

Abstract Language neuroscience currently relies on two major experimental paradigms:
controlled experiments using carefully hand-designed stimuli, and natural stimulus …

Speech perception is heavily influenced by our expectations about what will be said. In this
review, we discuss the potential of multivariate analysis as a tool to understand the neural …

Several studies have been published which show that it is possible to decode semantic
representations directly from brain responses. This has been repeatedly successful when …

Recent artificial neural networks that process natural language achieve unprecedented
performance in tasks requiring sentence-level understanding. As such, they could be …

Abstract Language comprehension involves integrating low-level sensory inputs into a
hierarchy of increasingly high-level features. Prior work studied brain representations of …

Abstract Brain Signals, such as Electroencephalography (EEG), and human languages have
been widely explored independently for many downstream tasks, however, the connection …

Humans are the only species with the ability to convey an unbounded number of novel
thoughts by combining words into sentences. This process is guided by complex semantic …

This study examines the neurocognitive mechanisms supporting the processing of
sentences involving compositional nontransparent meaning, investigating if the neural …