Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

Departing from traditional linguistic models, advances in deep learning have resulted in a
new type of predictive (autoregressive) deep language models (DLMs). Using a self …

Patients suffering from neuronal degenerative diseases are increasingly being equipped
with neural implants to treat symptoms or restore functions and increase their quality of life …

The relationship between conscious experience and brain activity has intrigued scientists
and philosophers for centuries. In the last decades, several theories have suggested …

The most critical attribute of human language is its unbounded combinatorial nature: smaller
elements can be combined into larger structures on the basis of a grammatical system …

Transcranial electric stimulation aims to stimulate the brain by applying weak electrical
currents at the scalp. However, the magnitude and spatial distribution of electric fields in the …

The alpha rhythm is the longest-studied brain oscillation and has been theorized to play a
key role in cognition. Still, its physiology is poorly understood. In this study, we used …

Speech production is a complex human function requiring continuous feedforward
commands together with reafferent feedback processing. These processes are carried out …

Making sense of the world requires us to process information over multiple timescales. We
sought to identify brain regions that accumulate information over short and long timescales …

Interactions between the hippocampus and the cortex are critical for memory. Interictal
epileptiform discharges (IEDs) identify epileptic brain regions and can impair memory, but …