@inproceedings{nelson-etal-2017-entropy,
    title = "Entropy Reduction correlates with temporal lobe activity",
    author = "Nelson, Matthew  and
      Dehaene, Stanislas  and
      Pallier, Christophe  and
      Hale, John",
    editor = "Gibson, Ted  and
      Linzen, Tal  and
      Sayeed, Asad  and
      van Schijndel, Martin  and
      Schuler, William",
    booktitle = "Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics ({CMCL} 2017)",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W17-0701",
    doi = "10.18653/v1/W17-0701",
    pages = "1--10",
    abstract = "Using the Entropy Reduction incremental complexity metric, we relate high gamma power signals from the brains of epileptic patients to incremental stages of syntactic analysis in English and French. We find that signals recorded intracranially from the anterior Inferior Temporal Sulcus (aITS) and the posterior Inferior Temporal Gyrus (pITG) correlate with word-by-word Entropy Reduction values derived from phrase structure grammars for those languages. In the anterior region, this correlation persists even in combination with surprisal co-predictors from PCFG and ngram models. The result confirms the idea that the brain{'}s temporal lobe houses a parsing function, one whose incremental processing difficulty profile reflects changes in grammatical uncertainty.",
}