Neurocomputational models of schizophrenia

Ahmed A. Moustafa, Blazej Misiak, Dorota Frydecka

Research output: Chapter in Book / Conference PaperChapter

Abstract

Unlike many psychiatric disorders, schizophrenia has received much attention in the computational modeling field. These models vary in their focus: some models of schizophrenia focus on simulating cognitive impairments (e.g. working memory, learning, and latent inhibition), while other models address schizophrenia symptoms (mostly positive symptoms, including hallucinations and delusions), as well as the effect of antipsychotic treatment. In this chapter, we review these models and then we discuss potential future computational modeling work that can aid in better understanding schizophrenia symptoms and neural mechanism of antipsychotics.
Original languageEnglish
Title of host publicationComputational Models of Brain and Behavior
EditorsAhmed A. Moustafa
Place of PublicationU.S.
PublisherWiley & Sons
Pages73-84
Number of pages12
ISBN (Electronic)9781119159186
ISBN (Print)9781119159063
DOIs
Publication statusPublished - 2018

Keywords

  • schizophrenia
  • dopamine
  • cognition
  • neural networks (computer science)

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