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 language | English |
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Title of host publication | Computational Models of Brain and Behavior |
Editors | Ahmed A. Moustafa |
Place of Publication | U.S. |
Publisher | Wiley & Sons |
Pages | 73-84 |
Number of pages | 12 |
ISBN (Electronic) | 9781119159186 |
ISBN (Print) | 9781119159063 |
DOIs | |
Publication status | Published - 2018 |
Keywords
- schizophrenia
- dopamine
- cognition
- neural networks (computer science)