Kristijan Armeni

This study uses brain recordings and a deep neural network to show that predictions occur at multiple levels during language comprehension.

This study examines how theta and beta brain oscillations relate to language prediction metrics during auditory narrative comprehension.

The paper reviews the use of probabilistic language models in cognitive neuroscience to explain neurobiological signals and discusses their advantages and limitations.