@InProceedings{nelson-EtAl:2017:CMCL,
  author    = {Nelson, Matthew  and  Dehaene, Stanislas  and  Pallier, Christophe  and  Hale, John},
  title     = {Entropy Reduction correlates with temporal lobe activity},
  booktitle = {Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017)},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  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.},
  url       = {http://www.aclweb.org/anthology/W17-0701}
}