Simulation of cognitive disturbances by a dynamic threshold semantic neural network

Amir B. Geva, A. V.I. Peled

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A neural network model with dynamic thresholds, asymmetric connections, and clustered memories simulates spread activation that is hypothesized for semantic networks in the brain. By altering the parameters of the dynamic thresholds a large range of disturbances can be generated in the model. These disturbances show metaphorical resemblance to certain general clinical descriptions of mental disturbances found in psychiatric patients engaged in various cognitive tasks. Even though the model is highly theoretical and metaphoric, it may help to gain certain insights into the relation between alterations of certain neural parameters, for example, thresholds and connectivity, and clinical symptoms in patients.

Original languageEnglish
Pages (from-to)608-619
Number of pages12
JournalJournal of the International Neuropsychological Society
Volume6
Issue number5
DOIs
StatePublished - 15 Aug 2000

Keywords

  • Cognitive task
  • Concrete and abstract concepts representation
  • Dynamic neural networks
  • Fuzzy clustering
  • Schizophrenia
  • Semantic networks
  • Thought disorders
  • Working memory

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