  Understanding the neural basis of language comprehension in the brain has
been a long-standing goal of various scientific research programs. Recent
advances in language modelling and in neuroimaging methodology promise
potential improvements in both the investigation of language's neurobiology and
in the building of better and more human-like language models. This survey
traces a line from early research linking Event Related Potentials and
complexity measures derived from simple language models to contemporary studies
employing Artificial Neural Network models trained on large corpora in
combination with neural response recordings from multiple modalities using
naturalistic stimuli.
