A central pattern generator for controlling sequential activation in a neural architecture for sentence processing

Djurre van Dijk, Frank van der Velde

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

The neural architecture for sentence processing is a model of a neural ‘blackboard’ capable of temporarily storing both semantic and syntactic information. Retrieving information from the neural blackboard requires a sequence of activations that is controlled by a central pattern generator. We implement a central pattern generator that controls the sequence of activation. To ground the implementation in a biological context, the implementation is based on a model of the escape swim network of Tritonia diomedea, a marine mollusk. A central pattern generator is developed to meet the specifications required to successfully control the sequence of actions and activations needed to retrieve information from the neural blackboard in response to a question. The model is an existence proof for a biologically plausible implementation of a neural blackboard central pattern generator. The role of the central pattern generator in this neural architecture of sentence processing illustrates the potential relation between controlling movement processing and cognitive processing.
Original languageEnglish
Pages (from-to)128-140
Number of pages13
JournalNeurocomputing
Volume170
DOIs
Publication statusPublished - 2015

Keywords

  • CPG
  • Neural blackboard
  • Sentence processing
  • Sequential control

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