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Syntax meets semantics during brain logical computations.

Arturo Tozzi1, James F Peters2, Andrew A Fingelkurts3

  • 1Center for Nonlinear Science, Department of Physics, University of North Texas, 1155 Union Circle, #311427, Denton, TX 76203-5017, USA.

Progress in Biophysics and Molecular Biology
|May 28, 2018
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Summary
This summary is machine-generated.

This study correlates Wittgenstein's logic with cognitive models to explore brain's syntax and semantics. We propose semantic processing occurs in higher brain dimensions than syntactic processing.

Keywords:
Borsuk-ulamBrouwerComputationMeaningSyntacticTruth

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Linguistics

Background:

  • The syntax-semantics discrepancy poses challenges in understanding brain processes.
  • Wittgenstein's Tractatus and Perlovsky's cognitive model offer frameworks for language and emotion analysis.

Purpose of the Study:

  • To investigate the neural correlates of syntax and semantics.
  • To establish a link between logical language analysis and computable psychological activities.
  • To propose a neuro-computational framework for semantic processing.

Main Methods:

  • Correlation analysis between Wittgenstein's Tractatus and Perlovsky's computational model.
  • Topological arguments to infer functional dimensions in brain processing.
  • Analysis of syntactic (Broca's area) and semantic cortical zone projections.

Main Results:

  • A correlation was found between logical language structure and computable psychological activities.
  • Semantic properties are processed in higher functional dimensions than syntactic properties.
  • Syntactic elements project from Broca's area to distributed semantic zones.

Conclusions:

  • Higher functional dimensions in semantic processing increase informational content.
  • Human language and cognition can be analyzed using logical and neuro-computational approaches.
  • The findings pave the way for novel, higher-dimensional computing architectures.