Literature DB >> 31550985

Concepts and Compositionality: In Search of the Brain's Language of Thought.

Steven M Frankland1, Joshua D Greene2.   

Abstract

Imagine Genghis Khan, Aretha Franklin, and the Cleveland Cavaliers performing an opera on Maui. This silly sentence makes a serious point: As humans, we can flexibly generate and comprehend an unbounded number of complex ideas. Little is known, however, about how our brains accomplish this. Here we assemble clues from disparate areas of cognitive neuroscience, integrating recent research on language, memory, episodic simulation, and computational models of high-level cognition. Our review is framed by Fodor's classic language of thought hypothesis, according to which our minds employ an amodal, language-like system for combining and recombining simple concepts to form more complex thoughts. Here, we highlight emerging work on combinatorial processes in the brain and consider this work's relation to the language of thought. We review evidence for distinct, but complementary, contributions of map-like representations in subregions of the default mode network and sentence-like representations of conceptual relations in regions of the temporal and prefrontal cortex.

Entities:  

Keywords:  artificial intelligence; compositionality; conceptual combination; default mode network; grid cells; language of thought

Year:  2019        PMID: 31550985     DOI: 10.1146/annurev-psych-122216-011829

Source DB:  PubMed          Journal:  Annu Rev Psychol        ISSN: 0066-4308            Impact factor:   24.137


  8 in total

1.  Neural correlates of word representation vectors in natural language processing models: Evidence from representational similarity analysis of event-related brain potentials.

Authors:  Taiqi He; Megan A Boudewyn; John E Kiat; Kenji Sagae; Steven J Luck
Journal:  Psychophysiology       Date:  2021-11-24       Impact factor: 4.016

2.  The Structure of Systematicity in the Brain.

Authors:  Randall C O'Reilly; Charan Ranganath; Jacob L Russin
Journal:  Curr Dir Psychol Sci       Date:  2022-03-24

3.  Recruitment of Control and Representational Components of the Semantic System during Successful and Unsuccessful Access to Complex Factual Knowledge.

Authors:  Silvia Ubaldi; Giuseppe Rabini; Scott L Fairhall
Journal:  J Neurosci       Date:  2022-05-12       Impact factor: 6.709

4.  Cross Recruitment of Domain-Selective Cortical Representations Enables Flexible Semantic Knowledge.

Authors:  Scott L Fairhall
Journal:  J Neurosci       Date:  2020-03-09       Impact factor: 6.167

5.  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

6.  From words to phrases: neural basis of social event semantic composition.

Authors:  Huichao Yang; Yanchao Bi
Journal:  Brain Struct Funct       Date:  2022-02-20       Impact factor: 3.748

7.  Tracing embodied word production in persons with Parkinson's disease in distinct motor conditions.

Authors:  Fabian Klostermann; Michelle Wyrobnik; Moritz Boll; Felicitas Ehlen; Hannes Ole Tiedt
Journal:  Sci Rep       Date:  2022-10-05       Impact factor: 4.996

8.  Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain.

Authors:  Alexander J Barnett; Walter Reilly; Halle R Dimsdale-Zucker; Eda Mizrak; Zachariah Reagh; Charan Ranganath
Journal:  PLoS Biol       Date:  2021-06-02       Impact factor: 8.029

  8 in total

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