Cortical representation of the constituent structure of sentences
By Christophe Pallier, Anne-Dominique Devauchelle, Stanislas Dehaene. Proceedings of the National Academy of Sciences of the United States of America, 2011
632 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/3fbcbe2e21fb6d85418adebeaf8e727995e7f6e5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Stanislas Dehaene
- Leonardo G. Cohen
- Jean-Remi King
- Charlotte Caucheteux
- N. Chater
- Marie Amalric
- Leila Wehbe
- Sydney S. Cash
In Developmental and Educational Psychology
- Stanislas Dehaene
- Leonardo G. Cohen
- Marie Amalric
- N. Chater
- Morten H. Christiansen
- Jean-Remi King
- Charlotte Caucheteux
- Brian Murphy
Citations in the corpus
- Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses (2014, background): “In [20] the authors identified a network of regions where neural activity was correlated with the length of linguistic The value in each voxel indicates how many of the 25 individual subjects show a significant (at p v : 05 , FDR-corrected) effect for the Sentences w Nonwords contrast.”
- Origins of the brain networks for advanced mathematics in expert mathematicians (2016, methodology): “deactivated by meaningless compared with meaningful general-knowledge statements in both groups, as previously reported (32, 35).”
- An architecture for encoding sentence meaning in left mid-superior temporal cortex (2015, background): “However, lmSTC is by no means the only region consistently implicated in higher-order semantic processing, as research has reliably documented the involvement of the anterior regions of the temporal lobe (20, 22), left inferior parietal lobe (12, 20), and left inferior frontal cortices (13, 14).”
- Brains and algorithms partially converge in natural language processing (2022, background): “Finally, compositional embeddings peak in the brain regions associated with high-level language processing such as the infero-frontal and the anterior temporal cortices as well as the superior temporal cortex and the temporal-parietal junction 35,41,65 .”
- Consequences of the Now-or-Never bottleneck for signed versus spoken languages (2015, background): “Frontal and temporal language cortices can represent and manipulate information delivered at different rates, and over intervals of different duration (Fuster 1995; Pallier et al. 2011; Ding et al. 2016).”
- Neurophysiological dynamics of phrase-structure building during sentence processing (2017, background): “A quantitative fMRI study previously showed that the average brain oxygen level-dependent (BOLD) signal evoked by an entire series of words increases approximately logarithmically, rather than linearly, with the number of words that can be grouped into constituents (14).”