Literature DB >> 32279078

Two Ways to Build a Thought: Distinct Forms of Compositional Semantic Representation across Brain Regions.

Steven M Frankland1, Joshua D Greene2.   

Abstract

To understand a simple sentence such as "the woman chased the dog", the human mind must dynamically organize the relevant concepts to represent who did what to whom. This structured recombination of concepts (woman, dog, chased) enables the representation of novel events, and is thus a central feature of intelligence. Here, we use functional magnetic resonance (fMRI) and encoding models to delineate the contributions of three brain regions to the representation of relational combinations. We identify a region of anterior-medial prefrontal cortex (amPFC) that shares representations of noun-verb conjunctions across sentences: for example, a combination of "woman" and "chased" to encode woman-as-chaser, distinct from woman-as-chasee. This PFC region differs from the left-mid superior temporal cortex (lmSTC) and hippocampus, two regions previously implicated in representing relations. lmSTC represents broad role combinations that are shared across verbs (e.g., woman-as-agent), rather than narrow roles, limited to specific actions (woman-as-chaser). By contrast, a hippocampal sub-region represents events sharing narrow conjunctions as dissimilar. The success of the hippocampal conjunctive encoding model is anti-correlated with generalization performance in amPFC on a trial-by-trial basis, consistent with a pattern separation mechanism. Thus, these three regions appear to play distinct, but complementary, roles in encoding compositional event structure.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Entities:  

Keywords:  compositionality; encoding models; fMRI; meaning; memory

Mesh:

Year:  2020        PMID: 32279078     DOI: 10.1093/cercor/bhaa001

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  2 in total

1.  A Model for Structured Information Representation in Neural Networks of the Brain.

Authors:  Michael G Müller; Christos H Papadimitriou; Wolfgang Maass; Robert Legenstein
Journal:  eNeuro       Date:  2020-05-29

2.  From letters to composed concepts: A magnetoencephalography study of reading.

Authors:  Graham Flick; Osama Abdullah; Liina Pylkkänen
Journal:  Hum Brain Mapp       Date:  2021-08-17       Impact factor: 5.038

  2 in total

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