4.7 Article

The brain dynamics of linguistic computation

Journal

FRONTIERS IN PSYCHOLOGY
Volume 6, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpsyg.2015.01515

Keywords

neural oscillations; biolinguistics; syntax; dynome; theta; alpha; beta; gamma

Funding

  1. Economic and Social Research Council [1474910]
  2. Economic and Social Research Council [1474910] Funding Source: researchfish

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Neural oscillations at distinct frequencies are increasingly being related to a number of basic and higher cognitive faculties. Oscillations enable the construction of coherently organized neuronal assemblies through establishing transitory temporal correlations. By exploring the elementary operations of the language faculty labeling, concatenation, cyclic transfer alongside neural dynamics, a new model of linguistic computation is proposed. It is argued that the universality of language, and the true biological source of Universal Grammar, is not to be found purely in the genome as has long been suggested, but more specifically within the extraordinarily preserved nature of mammalian brain rhythms employed in the computation of linguistic structures. Computational representational theories are used as a guide in investigating the neurobiological foundations of the human cognome the set of computations performed by the nervous system and new directions are suggested for how the dynamics of the brain (the dynome) operate and execute linguistic operations. The extent to which brain rhythms are the suitable neuronal processes which can capture the computational properties of the human language faculty is considered against a backdrop of existing cartographic research into the localization of linguistic interpretation. Particular focus is placed on labeling, the operation elsewhere argued to be species specific. A Basic Label model of the human cognome-dynome is proposed, leading to clear, causally-addressable empirical predictions, to be investigated by a suggested research program, Dynamic Cognomics. In addition, a distinction between minimal and maximal degrees of explanation is introduced to differentiate between the depth of analysis provided by cartographic, rhythmic, neurochemical, and other approaches to computation.

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