Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

Natural language is often seen as the single factor that explains the cognitive singularity of
the human species. Instead, we propose that humans possess multiple internal languages …

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

The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …

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 …

Recent advances in mapping cortical areas in the human brain provide a basis for
investigating the significance of their spatial arrangement. Here we describe a dominant …

We review the aspects that uniquely characterize magnetoencephalography (MEG) among
the techniques available to explore and resolve brain function and dysfunction. While …

Psychology advances knowledge by testing statistical hypotheses using empirical
observations and data. The expectation is that most statistically significant findings can be …

We have come to recognize the brain as a predictive organ, anticipating attributes of the
incoming sensory stimulation to guide perception and action in the service of adaptive …

Statistical learning (SL) is involved in a wide range of basic and higher-order cognitive
functions and is taken to be an important building block of virtually all current theories of …